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TheDrummer/Fallen-Command-A-111B-v1 | TheDrummer | 5d2b4bdb35d7dff3a4eb51a5f2b231ba27943491 | 2025-03-24T17:58:12+00:00 | 2025-03-23T13:42:59Z | false | False | null | 264 | null | 12 | null | null | null | null | [
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fibonacciai/fibonacci-2-9b | fibonacciai | 0cf0f97b0fbc165004639639b7c970109ed8dc1d | 2025-03-28T23:18:37+00:00 | 2025-03-24T00:23:56Z | false | False | null | 290 | null | 12 | null | null | null | null | [
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soob3123/amoral-gemma3-12B-v2 | soob3123 | 29f0a2ae9d3c48169ee093b9488c739ef48c3216 | 2025-03-25T18:28:37+00:00 | 2025-03-24T22:35:34Z | false | False | null | 158 | null | 12 | transformers | null | null | null | [
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ProsusAI/finbert | ProsusAI | 4556d13015211d73dccd3fdd39d39232506f3e43 | 2023-05-23T12:43:35+00:00 | 2022-03-02T23:29:04Z | false | False | null | 2,967,994 | null | 837 | transformers | null | null | null | [
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widget:
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openai/clip-vit-base-patch32 | openai | 3d74acf9a28c67741b2f4f2ea7635f0aaf6f0268 | 2024-02-29T09:45:55+00:00 | 2022-03-02T23:29:05Z | false | False | null | 15,283,939 | null | 649 | transformers | null | null | null | [
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meta-llama/Llama-2-7b | meta-llama | 69656aac4cb47911a639f5890ff35b41ceb82e98 | 2024-04-17T08:12:44+00:00 | 2023-07-09T07:34:35Z | false | manual | null | 0 | null | 4,291 | null | null | null | null | [
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extra_gated_heading: You need to share contact information with Meta to access this
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\ of any dispute arising out of this Agreement. \n### Llama 2 Acceptable Use Policy\n\
Meta is committed to promoting safe and fair use of its tools and features, including\
\ Llama 2. If you access or use Llama 2, you agree to this Acceptable Use Policy\
\ (“Policy”). The most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).\n\
#### Prohibited Uses\nWe want everyone to use Llama 2 safely and responsibly. You\
\ agree you will not use, or allow others to use, Llama 2 to:\n1. Violate the law\
\ or others’ rights, including to:\n 1. Engage in, promote, generate, contribute\
\ to, encourage, plan, incite, or further illegal or unlawful activity or content,\
\ such as: \n 1. Violence or terrorism \n 2. Exploitation or harm\
\ to children, including the solicitation, creation, acquisition, or dissemination\
\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
\ 3. Human trafficking, exploitation, and sexual violence\n 4.\
\ The illegal distribution of information or materials to minors, including obscene\
\ materials, or failure to employ legally required age-gating in connection with\
\ such information or materials.\n 5. Sexual solicitation\n 6.\
\ Any other criminal activity\n 2. Engage in, promote, incite, or facilitate\
\ the harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
\ 3. Engage in, promote, incite, or facilitate discrimination or other unlawful\
\ or harmful conduct in the provision of employment, employment benefits, credit,\
\ housing, other economic benefits, or other essential goods and services\n \
\ 4. Engage in the unauthorized or unlicensed practice of any profession including,\
\ but not limited to, financial, legal, medical/health, or related professional\
\ practices \n 5. Collect, process, disclose, generate, or infer health, demographic,\
\ or other sensitive personal or private information about individuals without rights\
\ and consents required by applicable laws\n 6. Engage in or facilitate any\
\ action or generate any content that infringes, misappropriates, or otherwise violates\
\ any third-party rights, including the outputs or results of any products or services\
\ using the Llama 2 Materials\n 7. Create, generate, or facilitate the creation\
\ of malicious code, malware, computer viruses or do anything else that could disable,\
\ overburden, interfere with or impair the proper working, integrity, operation\
\ or appearance of a website or computer system \n2. Engage in, promote, incite,\
\ facilitate, or assist in the planning or development of activities that present\
\ a risk of death or bodily harm to individuals, including use of Llama 2 related\
\ to the following:\n 1. Military, warfare, nuclear industries or applications,\
\ espionage, use for materials or activities that are subject to the International\
\ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
\ State\n 2. Guns and illegal weapons (including weapon development)\n 3.\
\ Illegal drugs and regulated/controlled substances\n 4. Operation of critical\
\ infrastructure, transportation technologies, or heavy machinery\n 5. Self-harm\
\ or harm to others, including suicide, cutting, and eating disorders\n 6. Any\
\ content intended to incite or promote violence, abuse, or any infliction of bodily\
\ harm to an individual\n3. Intentionally deceive or mislead others, including use\
\ of Llama 2 related to the following:\n 1. Generating, promoting, or furthering\
\ fraud or the creation or promotion of disinformation\n 2. Generating, promoting,\
\ or furthering defamatory content, including the creation of defamatory statements,\
\ images, or other content\n 3. Generating, promoting, or further distributing\
\ spam\n 4. Impersonating another individual without consent, authorization,\
\ or legal right\n 5. Representing that the use of Llama 2 or outputs are human-generated\n\
\ 6. Generating or facilitating false online engagement, including fake reviews\
\ and other means of fake online engagement \n 4. Fail to appropriately disclose\
\ to end users any known dangers of your AI system \nPlease report any violation\
\ of this Policy, software “bug,” or other problems that could lead to a violation\
\ of this Policy through one of the following means: \n * Reporting issues with\
\ the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\n\
\ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
\ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\
\ \n * Reporting violations of the Acceptable Use Policy or unlicensed uses of\
\ Llama: [[email protected]](mailto:[email protected])"
extra_gated_fields:
First Name: text
Last Name: text
Date of birth: date_picker
Country: country
Affiliation: text
geo: ip_location
? By clicking Submit below I accept the terms of the license and acknowledge that
the information I provide will be collected stored processed and shared in accordance
with the Meta Privacy Policy
: checkbox
extra_gated_description: The information you provide will be collected, stored, processed
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
extra_gated_button_content: Submit
inference: false | null | null | null | null | [
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] | null | null | null | 2024-04-17T08:12:44+00:00 | language:
- en
license: llama2
pipeline_tag: text-generation
tags:
- facebook
- meta
- pytorch
- llama
- llama-2
extra_gated_heading: You need to share contact information with Meta to access this
model
extra_gated_prompt: "### LLAMA 2 COMMUNITY LICENSE AGREEMENT\n\"Agreement\" means\
\ the terms and conditions for use, reproduction, distribution and modification\
\ of the Llama Materials set forth herein. \n\"Documentation\" means the specifications,\
\ manuals and documentation accompanying Llama 2 distributed by Meta at https://ai.meta.com/resources/models-and-libraries/llama-downloads/.\
\ \n\"Licensee\" or \"you\" means you, or your employer or any other person or\
\ entity (if you are entering into this Agreement on such person or entity's behalf),\
\ of the age required under applicable laws, rules or regulations to provide legal\
\ consent and that has legal authority to bind your employer or such other person\
\ or entity if you are entering in this Agreement on their behalf. \n\"Llama 2\"\
\ means the foundational large language models and software and algorithms, including\
\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
\ code, fine-tuning enabling code and other elements of the foregoing distributed\
\ by Meta at ai.meta.com/resources/models-and-libraries/llama-downloads/.\n\"Llama\
\ Materials\" means, collectively, Meta's proprietary Llama 2 and documentation\
\ (and any portion thereof) made available under this Agreement.\n\"Meta\" or \"\
we\" means Meta Platforms Ireland Limited (if you are located in or, if you are\
\ an entity, your principal place of business is in the EEA or Switzerland) and\
\ Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland). \n\
\nBy clicking \"I Accept\" below or by using or distributing any portion or element\
\ of the Llama Materials, you agree to be bound by this Agreement.\n1. License Rights\
\ and Redistribution. \na. Grant of Rights. You are granted a non-exclusive, worldwide,\
\ non- transferable and royalty-free limited license under Meta's intellectual property\
\ or other rights owned by Meta embodied in the Llama Materials to use, reproduce,\
\ distribute, copy, create derivative works of, and make modifications to the Llama\
\ Materials. \nb. Redistribution and Use.\ni. If you distribute or make the Llama\
\ Materials, or any derivative works thereof, available to a third party, you shall\
\ provide a copy of this Agreement to such third party. \nii. If you receive Llama\
\ Materials, or any derivative works thereof, from a Licensee as part of an integrated\
\ end user product, then Section 2 of this Agreement will not apply to you. \n\
iii. You must retain in all copies of the Llama Materials that you distribute the\
\ following attribution notice within a \"Notice\" text file distributed as a part\
\ of such copies: \"Llama 2 is licensed under the LLAMA 2 Community License, Copyright\
\ (c) Meta Platforms, Inc. All Rights Reserved.\"\niv. Your use of the Llama Materials\
\ must comply with applicable laws and regulations (including trade compliance\
\ laws and regulations) and adhere to the Acceptable Use Policy for the Llama Materials\
\ (available at https://ai.meta.com/llama/use-policy), which is hereby incorporated\
\ by reference into this Agreement.\nv. You will not use the Llama Materials or\
\ any output or results of the Llama Materials to improve any other large language\
\ model (excluding Llama 2 or derivative works thereof). \n\n2. Additional Commercial\
\ Terms. If, on the Llama 2 version release date, the monthly active users of the\
\ products or services made available by or for Licensee, or Licensee's affiliates,\
\ is greater than 700 million monthly active users in the preceding calendar month,\
\ you must request a license from Meta, which Meta may grant to you in its sole\
\ discretion, and you are not authorized to exercise any of the rights under this\
\ Agreement unless or until Meta otherwise expressly grants you such rights.\n\
3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS\
\ AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN \"AS IS\" BASIS, WITHOUT\
\ WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED, INCLUDING, WITHOUT LIMITATION,\
\ ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A\
\ PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS\
\ OF USING OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED\
\ WITH YOUR USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation\
\ of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY\
\ OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE,\
\ ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL,\
\ CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS\
\ AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n\n\
5. Intellectual Property.\na. No trademark licenses are granted under this Agreement,\
\ and in connection with the Llama Materials, neither Meta nor Licensee may use\
\ any name or mark owned by or associated with the other or any of its affiliates,\
\ except as required for reasonable and customary use in describing and redistributing\
\ the Llama Materials.\nb. Subject to Meta's ownership of Llama Materials and derivatives\
\ made by or for Meta, with respect to any derivative works and modifications of\
\ the Llama Materials that are made by you, as between you and Meta, you are and\
\ will be the owner of such derivative works and modifications.\nc. If you institute\
\ litigation or other proceedings against Meta or any entity (including a cross-claim\
\ or counterclaim in a lawsuit) alleging that the Llama Materials or Llama 2 outputs\
\ or results, or any portion of any of the foregoing, constitutes infringement\
\ of intellectual property or other rights owned or licensable by you, then any\
\ licenses granted to you under this Agreement shall terminate as of the date such\
\ litigation or claim is filed or instituted. You will indemnify and hold harmless\
\ Meta from and against any claim by any third party arising out of or related \
\ to your use or distribution of the Llama Materials.\n6. Term and Termination.\
\ The term of this Agreement will commence upon your acceptance of this Agreement\
\ or access to the Llama Materials and will continue in full force and effect until\
\ terminated in accordance with the terms and conditions herein. Meta may terminate\
\ this Agreement if you are in breach of any term or condition of this Agreement.\
\ Upon termination of this Agreement, you shall delete and cease use of the Llama\
\ Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement.\
\ \n7. Governing Law and Jurisdiction. This Agreement will be governed and construed\
\ under the laws of the State of California without regard to choice of law principles,\
\ and the UN Convention on Contracts for the International Sale of Goods does not\
\ apply to this Agreement. The courts of California shall have exclusive jurisdiction\
\ of any dispute arising out of this Agreement. \n### Llama 2 Acceptable Use Policy\n\
Meta is committed to promoting safe and fair use of its tools and features, including\
\ Llama 2. If you access or use Llama 2, you agree to this Acceptable Use Policy\
\ (“Policy”). The most recent copy of this policy can be found at [ai.meta.com/llama/use-policy](http://ai.meta.com/llama/use-policy).\n\
#### Prohibited Uses\nWe want everyone to use Llama 2 safely and responsibly. You\
\ agree you will not use, or allow others to use, Llama 2 to:\n1. Violate the law\
\ or others’ rights, including to:\n 1. Engage in, promote, generate, contribute\
\ to, encourage, plan, incite, or further illegal or unlawful activity or content,\
\ such as: \n 1. Violence or terrorism \n 2. Exploitation or harm\
\ to children, including the solicitation, creation, acquisition, or dissemination\
\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
\ 3. Human trafficking, exploitation, and sexual violence\n 4.\
\ The illegal distribution of information or materials to minors, including obscene\
\ materials, or failure to employ legally required age-gating in connection with\
\ such information or materials.\n 5. Sexual solicitation\n 6.\
\ Any other criminal activity\n 2. Engage in, promote, incite, or facilitate\
\ the harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
\ 3. Engage in, promote, incite, or facilitate discrimination or other unlawful\
\ or harmful conduct in the provision of employment, employment benefits, credit,\
\ housing, other economic benefits, or other essential goods and services\n \
\ 4. Engage in the unauthorized or unlicensed practice of any profession including,\
\ but not limited to, financial, legal, medical/health, or related professional\
\ practices \n 5. Collect, process, disclose, generate, or infer health, demographic,\
\ or other sensitive personal or private information about individuals without rights\
\ and consents required by applicable laws\n 6. Engage in or facilitate any\
\ action or generate any content that infringes, misappropriates, or otherwise violates\
\ any third-party rights, including the outputs or results of any products or services\
\ using the Llama 2 Materials\n 7. Create, generate, or facilitate the creation\
\ of malicious code, malware, computer viruses or do anything else that could disable,\
\ overburden, interfere with or impair the proper working, integrity, operation\
\ or appearance of a website or computer system \n2. Engage in, promote, incite,\
\ facilitate, or assist in the planning or development of activities that present\
\ a risk of death or bodily harm to individuals, including use of Llama 2 related\
\ to the following:\n 1. Military, warfare, nuclear industries or applications,\
\ espionage, use for materials or activities that are subject to the International\
\ Traffic Arms Regulations (ITAR) maintained by the United States Department of\
\ State\n 2. Guns and illegal weapons (including weapon development)\n 3.\
\ Illegal drugs and regulated/controlled substances\n 4. Operation of critical\
\ infrastructure, transportation technologies, or heavy machinery\n 5. Self-harm\
\ or harm to others, including suicide, cutting, and eating disorders\n 6. Any\
\ content intended to incite or promote violence, abuse, or any infliction of bodily\
\ harm to an individual\n3. Intentionally deceive or mislead others, including use\
\ of Llama 2 related to the following:\n 1. Generating, promoting, or furthering\
\ fraud or the creation or promotion of disinformation\n 2. Generating, promoting,\
\ or furthering defamatory content, including the creation of defamatory statements,\
\ images, or other content\n 3. Generating, promoting, or further distributing\
\ spam\n 4. Impersonating another individual without consent, authorization,\
\ or legal right\n 5. Representing that the use of Llama 2 or outputs are human-generated\n\
\ 6. Generating or facilitating false online engagement, including fake reviews\
\ and other means of fake online engagement \n 4. Fail to appropriately disclose\
\ to end users any known dangers of your AI system \nPlease report any violation\
\ of this Policy, software “bug,” or other problems that could lead to a violation\
\ of this Policy through one of the following means: \n * Reporting issues with\
\ the model: [github.com/facebookresearch/llama](http://github.com/facebookresearch/llama)\n\
\ * Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
\ * Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\
\ \n * Reporting violations of the Acceptable Use Policy or unlicensed uses of\
\ Llama: [[email protected]](mailto:[email protected])"
extra_gated_fields:
First Name: text
Last Name: text
Date of birth: date_picker
Country: country
Affiliation: text
geo: ip_location
? By clicking Submit below I accept the terms of the license and acknowledge that
the information I provide will be collected stored processed and shared in accordance
with the Meta Privacy Policy
: checkbox
extra_gated_description: The information you provide will be collected, stored, processed
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
extra_gated_button_content: Submit
inference: false | null | 64aa630b73790912c790894e | meta-llama/Llama-2-7b |
lllyasviel/sd_control_collection | lllyasviel | 7cf256327b341fedc82e00b0d7fb5481ad693210 | 2023-09-09T04:08:17+00:00 | 2023-08-29T06:43:22Z | false | False | null | 0 | null | 1,940 | null | null | library-not-detected | null | [
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license_name: bria-rmbg-1.4
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extra_gated_description: RMBG v1.4 is available as a source-available model for non-commercial
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Name: text
Company/Org name: text
Org Type (Early/Growth Startup, Enterprise, Academy): text
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Country: text
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] | null | null | null | 2025-03-12T08:59:31+00:00 | license: other
license_name: bria-rmbg-1.4
license_link: https://bria.ai/bria-huggingface-model-license-agreement/
pipeline_tag: image-segmentation
tags:
- remove background
- background
- background-removal
- Pytorch
- vision
- legal liability
- transformers
- transformers.js
extra_gated_description: RMBG v1.4 is available as a source-available model for non-commercial
use
extra_gated_heading: Fill in this form to get instant access
extra_gated_fields:
Name: text
Company/Org name: text
Org Type (Early/Growth Startup, Enterprise, Academy): text
Role: text
Country: text
Email: text
By submitting this form, I agree to BRIA’s Privacy policy and Terms & conditions, see links below: checkbox | null | 6578ba0332150025acca8494 | briaai/RMBG-1.4 |
nvidia/canary-1b | nvidia | 51d6c4d5d4c20250a1f06f3b83e50241cfabca35 | 2025-02-25T19:58:32+00:00 | 2024-02-07T17:20:55Z | false | False | null | 52,033 | null | 416 | nemo | null | null | null | [
"nemo",
"automatic-speech-recognition",
"automatic-speech-translation",
"speech",
"audio",
"Transformer",
"FastConformer",
"Conformer",
"pytorch",
"NeMo",
"hf-asr-leaderboard",
"en",
"de",
"es",
"fr",
"dataset:librispeech_asr",
"dataset:fisher_corpus",
"dataset:Switchboard-1",
"dataset:WSJ-0",
"dataset:WSJ-1",
"dataset:National-Singapore-Corpus-Part-1",
"dataset:National-Singapore-Corpus-Part-6",
"dataset:vctk",
"dataset:voxpopuli",
"dataset:europarl",
"dataset:multilingual_librispeech",
"dataset:mozilla-foundation/common_voice_8_0",
"dataset:MLCommons/peoples_speech",
"arxiv:2305.05084",
"arxiv:1706.03762",
"license:cc-by-nc-4.0",
"model-index",
"region:us"
] | automatic-speech-recognition | null | 11 | datasets:
- librispeech_asr
- fisher_corpus
- Switchboard-1
- WSJ-0
- WSJ-1
- National-Singapore-Corpus-Part-1
- National-Singapore-Corpus-Part-6
- vctk
- voxpopuli
- europarl
- multilingual_librispeech
- mozilla-foundation/common_voice_8_0
- MLCommons/peoples_speech
language:
- en
- de
- es
- fr
library_name: nemo
license: cc-by-nc-4.0
metrics:
- wer
- bleu
pipeline_tag: automatic-speech-recognition
tags:
- automatic-speech-recognition
- automatic-speech-translation
- speech
- audio
- Transformer
- FastConformer
- Conformer
- pytorch
- NeMo
- hf-asr-leaderboard
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
model-index:
- name: canary-1b
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: LibriSpeech (other)
type: librispeech_asr
config: other
split: test
args:
language: en
metrics:
- type: wer
value: 2.89
name: Test WER
verified: false
- task:
type: Automatic Speech Recognition
name: automatic-speech-recognition
dataset:
name: SPGI Speech
type: kensho/spgispeech
config: test
split: test
args:
language: en
metrics:
- type: wer
value: 4.79
name: Test WER
verified: false
- task:
type: Automatic Speech Recognition
name: automatic-speech-recognition
dataset:
name: Mozilla Common Voice 16.1
type: mozilla-foundation/common_voice_16_1
config: en
split: test
args:
language: en
metrics:
- type: wer
value: 7.97
name: Test WER (En)
verified: false
- task:
type: Automatic Speech Recognition
name: automatic-speech-recognition
dataset:
name: Mozilla Common Voice 16.1
type: mozilla-foundation/common_voice_16_1
config: de
split: test
args:
language: de
metrics:
- type: wer
value: 4.61
name: Test WER (De)
verified: false
- task:
type: Automatic Speech Recognition
name: automatic-speech-recognition
dataset:
name: Mozilla Common Voice 16.1
type: mozilla-foundation/common_voice_16_1
config: es
split: test
args:
language: es
metrics:
- type: wer
value: 3.99
name: Test WER (ES)
verified: false
- task:
type: Automatic Speech Recognition
name: automatic-speech-recognition
dataset:
name: Mozilla Common Voice 16.1
type: mozilla-foundation/common_voice_16_1
config: fr
split: test
args:
language: fr
metrics:
- type: wer
value: 6.53
name: Test WER (Fr)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: FLEURS
type: google/fleurs
config: en_us
split: test
args:
language: en-de
metrics:
- type: bleu
value: 32.15
name: Test BLEU (En->De)
verified: false
- type: bleu
value: 22.66
name: Test BLEU (En->Es)
verified: false
- type: bleu
value: 40.76
name: Test BLEU (En->Fr)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: FLEURS
type: google/fleurs
config: de_de
split: test
args:
language: de-en
metrics:
- type: bleu
value: 33.98
name: Test BLEU (De->En)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: FLEURS
type: google/fleurs
config: es_419
split: test
args:
language: es-en
metrics:
- type: bleu
value: 21.8
name: Test BLEU (Es->En)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: FLEURS
type: google/fleurs
config: fr_fr
split: test
args:
language: fr-en
metrics:
- type: bleu
value: 30.95
name: Test BLEU (Fr->En)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: COVOST
type: covost2
config: de_de
split: test
args:
language: de-en
metrics:
- type: bleu
value: 37.67
name: Test BLEU (De->En)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: COVOST
type: covost2
config: es_419
split: test
args:
language: es-en
metrics:
- type: bleu
value: 40.7
name: Test BLEU (Es->En)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: COVOST
type: covost2
config: fr_fr
split: test
args:
language: fr-en
metrics:
- type: bleu
value: 40.42
name: Test BLEU (Fr->En)
verified: false | null | null | null | null | [
".gitattributes",
"README.md",
"canary-1b.nemo",
"canary-model.png"
] | null | null | null | 2025-02-25T19:58:32+00:00 | datasets:
- librispeech_asr
- fisher_corpus
- Switchboard-1
- WSJ-0
- WSJ-1
- National-Singapore-Corpus-Part-1
- National-Singapore-Corpus-Part-6
- vctk
- voxpopuli
- europarl
- multilingual_librispeech
- mozilla-foundation/common_voice_8_0
- MLCommons/peoples_speech
language:
- en
- de
- es
- fr
library_name: nemo
license: cc-by-nc-4.0
metrics:
- wer
- bleu
pipeline_tag: automatic-speech-recognition
tags:
- automatic-speech-recognition
- automatic-speech-translation
- speech
- audio
- Transformer
- FastConformer
- Conformer
- pytorch
- NeMo
- hf-asr-leaderboard
widget:
- example_title: Librispeech sample 1
src: https://cdn-media.huggingface.co/speech_samples/sample1.flac
- example_title: Librispeech sample 2
src: https://cdn-media.huggingface.co/speech_samples/sample2.flac
model-index:
- name: canary-1b
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: LibriSpeech (other)
type: librispeech_asr
config: other
split: test
args:
language: en
metrics:
- type: wer
value: 2.89
name: Test WER
verified: false
- task:
type: Automatic Speech Recognition
name: automatic-speech-recognition
dataset:
name: SPGI Speech
type: kensho/spgispeech
config: test
split: test
args:
language: en
metrics:
- type: wer
value: 4.79
name: Test WER
verified: false
- task:
type: Automatic Speech Recognition
name: automatic-speech-recognition
dataset:
name: Mozilla Common Voice 16.1
type: mozilla-foundation/common_voice_16_1
config: en
split: test
args:
language: en
metrics:
- type: wer
value: 7.97
name: Test WER (En)
verified: false
- task:
type: Automatic Speech Recognition
name: automatic-speech-recognition
dataset:
name: Mozilla Common Voice 16.1
type: mozilla-foundation/common_voice_16_1
config: de
split: test
args:
language: de
metrics:
- type: wer
value: 4.61
name: Test WER (De)
verified: false
- task:
type: Automatic Speech Recognition
name: automatic-speech-recognition
dataset:
name: Mozilla Common Voice 16.1
type: mozilla-foundation/common_voice_16_1
config: es
split: test
args:
language: es
metrics:
- type: wer
value: 3.99
name: Test WER (ES)
verified: false
- task:
type: Automatic Speech Recognition
name: automatic-speech-recognition
dataset:
name: Mozilla Common Voice 16.1
type: mozilla-foundation/common_voice_16_1
config: fr
split: test
args:
language: fr
metrics:
- type: wer
value: 6.53
name: Test WER (Fr)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: FLEURS
type: google/fleurs
config: en_us
split: test
args:
language: en-de
metrics:
- type: bleu
value: 32.15
name: Test BLEU (En->De)
verified: false
- type: bleu
value: 22.66
name: Test BLEU (En->Es)
verified: false
- type: bleu
value: 40.76
name: Test BLEU (En->Fr)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: FLEURS
type: google/fleurs
config: de_de
split: test
args:
language: de-en
metrics:
- type: bleu
value: 33.98
name: Test BLEU (De->En)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: FLEURS
type: google/fleurs
config: es_419
split: test
args:
language: es-en
metrics:
- type: bleu
value: 21.8
name: Test BLEU (Es->En)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: FLEURS
type: google/fleurs
config: fr_fr
split: test
args:
language: fr-en
metrics:
- type: bleu
value: 30.95
name: Test BLEU (Fr->En)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: COVOST
type: covost2
config: de_de
split: test
args:
language: de-en
metrics:
- type: bleu
value: 37.67
name: Test BLEU (De->En)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: COVOST
type: covost2
config: es_419
split: test
args:
language: es-en
metrics:
- type: bleu
value: 40.7
name: Test BLEU (Es->En)
verified: false
- task:
type: Automatic Speech Translation
name: automatic-speech-translation
dataset:
name: COVOST
type: covost2
config: fr_fr
split: test
args:
language: fr-en
metrics:
- type: bleu
value: 40.42
name: Test BLEU (Fr->En)
verified: false | null | 65c3bbf780497543ca174a16 | nvidia/canary-1b |
intfloat/multilingual-e5-large-instruct | intfloat | 84344a23ee1820ac951bc365f1e91d094a911763 | 2025-02-17T04:16:16+00:00 | 2024-02-08T12:59:32Z | false | False | null | 898,454 | null | 399 | sentence-transformers | null | null | null | [
"sentence-transformers",
"onnx",
"safetensors",
"xlm-roberta",
"feature-extraction",
"mteb",
"transformers",
"multilingual",
"af",
"am",
"ar",
"as",
"az",
"be",
"bg",
"bn",
"br",
"bs",
"ca",
"cs",
"cy",
"da",
"de",
"el",
"en",
"eo",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"fy",
"ga",
"gd",
"gl",
"gu",
"ha",
"he",
"hi",
"hr",
"hu",
"hy",
"id",
"is",
"it",
"ja",
"jv",
"ka",
"kk",
"km",
"kn",
"ko",
"ku",
"ky",
"la",
"lo",
"lt",
"lv",
"mg",
"mk",
"ml",
"mn",
"mr",
"ms",
"my",
"ne",
"nl",
"no",
"om",
"or",
"pa",
"pl",
"ps",
"pt",
"ro",
"ru",
"sa",
"sd",
"si",
"sk",
"sl",
"so",
"sq",
"sr",
"su",
"sv",
"sw",
"ta",
"te",
"th",
"tl",
"tr",
"ug",
"uk",
"ur",
"uz",
"vi",
"xh",
"yi",
"zh",
"arxiv:2402.05672",
"arxiv:2401.00368",
"arxiv:2104.08663",
"arxiv:2210.07316",
"license:mit",
"model-index",
"autotrain_compatible",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | feature-extraction | null | 11 | language:
- multilingual
- af
- am
- ar
- as
- az
- be
- bg
- bn
- br
- bs
- ca
- cs
- cy
- da
- de
- el
- en
- eo
- es
- et
- eu
- fa
- fi
- fr
- fy
- ga
- gd
- gl
- gu
- ha
- he
- hi
- hr
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ku
- ky
- la
- lo
- lt
- lv
- mg
- mk
- ml
- mn
- mr
- ms
- my
- ne
- nl
- 'no'
- om
- or
- pa
- pl
- ps
- pt
- ro
- ru
- sa
- sd
- si
- sk
- sl
- so
- sq
- sr
- su
- sv
- sw
- ta
- te
- th
- tl
- tr
- ug
- uk
- ur
- uz
- vi
- xh
- yi
- zh
license: mit
tags:
- mteb
- sentence-transformers
- transformers
model-index:
- name: multilingual-e5-large-instruct
results:
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactual
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 76.23880597014924
verified: false
- type: ap
value: 39.07351965022687
verified: false
- type: f1
value: 70.04836733862683
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (de)
type: mteb/amazon_counterfactual
config: de
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 66.71306209850107
verified: false
- type: ap
value: 79.01499914759529
verified: false
- type: f1
value: 64.81951817560703
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en-ext)
type: mteb/amazon_counterfactual
config: en-ext
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 73.85307346326837
verified: false
- type: ap
value: 22.447519885878737
verified: false
- type: f1
value: 61.0162730745633
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (ja)
type: mteb/amazon_counterfactual
config: ja
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 76.04925053533191
verified: false
- type: ap
value: 23.44983217128922
verified: false
- type: f1
value: 62.5723230907759
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonPolarityClassification
type: mteb/amazon_polarity
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 96.28742500000001
verified: false
- type: ap
value: 94.8449918887462
verified: false
- type: f1
value: 96.28680923610432
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (en)
type: mteb/amazon_reviews_multi
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 56.716
verified: false
- type: f1
value: 55.76510398266401
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (de)
type: mteb/amazon_reviews_multi
config: de
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 52.99999999999999
verified: false
- type: f1
value: 52.00829994765178
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (es)
type: mteb/amazon_reviews_multi
config: es
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 48.806000000000004
verified: false
- type: f1
value: 48.082345914983634
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (fr)
type: mteb/amazon_reviews_multi
config: fr
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 48.507999999999996
verified: false
- type: f1
value: 47.68752844642045
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (ja)
type: mteb/amazon_reviews_multi
config: ja
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 47.709999999999994
verified: false
- type: f1
value: 47.05870376637181
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (zh)
type: mteb/amazon_reviews_multi
config: zh
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 44.662000000000006
verified: false
- type: f1
value: 43.42371965372771
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna
type: arguana
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 31.721
verified: false
- type: map_at_10
value: 49.221
verified: false
- type: map_at_100
value: 49.884
verified: false
- type: map_at_1000
value: 49.888
verified: false
- type: map_at_3
value: 44.31
verified: false
- type: map_at_5
value: 47.276
verified: false
- type: mrr_at_1
value: 32.432
verified: false
- type: mrr_at_10
value: 49.5
verified: false
- type: mrr_at_100
value: 50.163000000000004
verified: false
- type: mrr_at_1000
value: 50.166
verified: false
- type: mrr_at_3
value: 44.618
verified: false
- type: mrr_at_5
value: 47.541
verified: false
- type: ndcg_at_1
value: 31.721
verified: false
- type: ndcg_at_10
value: 58.384
verified: false
- type: ndcg_at_100
value: 61.111000000000004
verified: false
- type: ndcg_at_1000
value: 61.187999999999995
verified: false
- type: ndcg_at_3
value: 48.386
verified: false
- type: ndcg_at_5
value: 53.708999999999996
verified: false
- type: precision_at_1
value: 31.721
verified: false
- type: precision_at_10
value: 8.741
verified: false
- type: precision_at_100
value: 0.991
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 20.057
verified: false
- type: precision_at_5
value: 14.609
verified: false
- type: recall_at_1
value: 31.721
verified: false
- type: recall_at_10
value: 87.411
verified: false
- type: recall_at_100
value: 99.075
verified: false
- type: recall_at_1000
value: 99.644
verified: false
- type: recall_at_3
value: 60.171
verified: false
- type: recall_at_5
value: 73.044
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringP2P
type: mteb/arxiv-clustering-p2p
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 46.40419580759799
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringS2S
type: mteb/arxiv-clustering-s2s
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 40.48593255007969
verified: false
- task:
type: Reranking
dataset:
name: MTEB AskUbuntuDupQuestions
type: mteb/askubuntudupquestions-reranking
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 63.889179122289995
verified: false
- type: mrr
value: 77.61146286769556
verified: false
- task:
type: STS
dataset:
name: MTEB BIOSSES
type: mteb/biosses-sts
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 88.15075203727929
verified: false
- type: cos_sim_spearman
value: 86.9622224570873
verified: false
- type: euclidean_pearson
value: 86.70473853624121
verified: false
- type: euclidean_spearman
value: 86.9622224570873
verified: false
- type: manhattan_pearson
value: 86.21089380980065
verified: false
- type: manhattan_spearman
value: 86.75318154937008
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (de-en)
type: mteb/bucc-bitext-mining
config: de-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: accuracy
value: 99.65553235908142
verified: false
- type: f1
value: 99.60681976339595
verified: false
- type: precision
value: 99.58246346555325
verified: false
- type: recall
value: 99.65553235908142
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (fr-en)
type: mteb/bucc-bitext-mining
config: fr-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: accuracy
value: 99.26260180497468
verified: false
- type: f1
value: 99.14520507740848
verified: false
- type: precision
value: 99.08650671362535
verified: false
- type: recall
value: 99.26260180497468
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (ru-en)
type: mteb/bucc-bitext-mining
config: ru-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: accuracy
value: 98.07412538967787
verified: false
- type: f1
value: 97.86629719431936
verified: false
- type: precision
value: 97.76238309664012
verified: false
- type: recall
value: 98.07412538967787
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (zh-en)
type: mteb/bucc-bitext-mining
config: zh-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: accuracy
value: 99.42074776197998
verified: false
- type: f1
value: 99.38564156573635
verified: false
- type: precision
value: 99.36808846761454
verified: false
- type: recall
value: 99.42074776197998
verified: false
- task:
type: Classification
dataset:
name: MTEB Banking77Classification
type: mteb/banking77
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 85.73376623376623
verified: false
- type: f1
value: 85.68480707214599
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringP2P
type: mteb/biorxiv-clustering-p2p
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 40.935218072113855
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringS2S
type: mteb/biorxiv-clustering-s2s
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 36.276389017675264
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 27.764166666666668
verified: false
- type: map_at_10
value: 37.298166666666674
verified: false
- type: map_at_100
value: 38.530166666666666
verified: false
- type: map_at_1000
value: 38.64416666666667
verified: false
- type: map_at_3
value: 34.484833333333334
verified: false
- type: map_at_5
value: 36.0385
verified: false
- type: mrr_at_1
value: 32.93558333333333
verified: false
- type: mrr_at_10
value: 41.589749999999995
verified: false
- type: mrr_at_100
value: 42.425333333333334
verified: false
- type: mrr_at_1000
value: 42.476333333333336
verified: false
- type: mrr_at_3
value: 39.26825
verified: false
- type: mrr_at_5
value: 40.567083333333336
verified: false
- type: ndcg_at_1
value: 32.93558333333333
verified: false
- type: ndcg_at_10
value: 42.706583333333334
verified: false
- type: ndcg_at_100
value: 47.82483333333333
verified: false
- type: ndcg_at_1000
value: 49.95733333333334
verified: false
- type: ndcg_at_3
value: 38.064750000000004
verified: false
- type: ndcg_at_5
value: 40.18158333333333
verified: false
- type: precision_at_1
value: 32.93558333333333
verified: false
- type: precision_at_10
value: 7.459833333333334
verified: false
- type: precision_at_100
value: 1.1830833333333335
verified: false
- type: precision_at_1000
value: 0.15608333333333332
verified: false
- type: precision_at_3
value: 17.5235
verified: false
- type: precision_at_5
value: 12.349833333333333
verified: false
- type: recall_at_1
value: 27.764166666666668
verified: false
- type: recall_at_10
value: 54.31775
verified: false
- type: recall_at_100
value: 76.74350000000001
verified: false
- type: recall_at_1000
value: 91.45208333333332
verified: false
- type: recall_at_3
value: 41.23425
verified: false
- type: recall_at_5
value: 46.73983333333334
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ClimateFEVER
type: climate-fever
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 12.969
verified: false
- type: map_at_10
value: 21.584999999999997
verified: false
- type: map_at_100
value: 23.3
verified: false
- type: map_at_1000
value: 23.5
verified: false
- type: map_at_3
value: 18.218999999999998
verified: false
- type: map_at_5
value: 19.983
verified: false
- type: mrr_at_1
value: 29.316
verified: false
- type: mrr_at_10
value: 40.033
verified: false
- type: mrr_at_100
value: 40.96
verified: false
- type: mrr_at_1000
value: 41.001
verified: false
- type: mrr_at_3
value: 37.123
verified: false
- type: mrr_at_5
value: 38.757999999999996
verified: false
- type: ndcg_at_1
value: 29.316
verified: false
- type: ndcg_at_10
value: 29.858
verified: false
- type: ndcg_at_100
value: 36.756
verified: false
- type: ndcg_at_1000
value: 40.245999999999995
verified: false
- type: ndcg_at_3
value: 24.822
verified: false
- type: ndcg_at_5
value: 26.565
verified: false
- type: precision_at_1
value: 29.316
verified: false
- type: precision_at_10
value: 9.186
verified: false
- type: precision_at_100
value: 1.6549999999999998
verified: false
- type: precision_at_1000
value: 0.22999999999999998
verified: false
- type: precision_at_3
value: 18.436
verified: false
- type: precision_at_5
value: 13.876
verified: false
- type: recall_at_1
value: 12.969
verified: false
- type: recall_at_10
value: 35.142
verified: false
- type: recall_at_100
value: 59.143
verified: false
- type: recall_at_1000
value: 78.594
verified: false
- type: recall_at_3
value: 22.604
verified: false
- type: recall_at_5
value: 27.883000000000003
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia
type: dbpedia-entity
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 8.527999999999999
verified: false
- type: map_at_10
value: 17.974999999999998
verified: false
- type: map_at_100
value: 25.665
verified: false
- type: map_at_1000
value: 27.406000000000002
verified: false
- type: map_at_3
value: 13.017999999999999
verified: false
- type: map_at_5
value: 15.137
verified: false
- type: mrr_at_1
value: 62.5
verified: false
- type: mrr_at_10
value: 71.891
verified: false
- type: mrr_at_100
value: 72.294
verified: false
- type: mrr_at_1000
value: 72.296
verified: false
- type: mrr_at_3
value: 69.958
verified: false
- type: mrr_at_5
value: 71.121
verified: false
- type: ndcg_at_1
value: 50.875
verified: false
- type: ndcg_at_10
value: 38.36
verified: false
- type: ndcg_at_100
value: 44.235
verified: false
- type: ndcg_at_1000
value: 52.154
verified: false
- type: ndcg_at_3
value: 43.008
verified: false
- type: ndcg_at_5
value: 40.083999999999996
verified: false
- type: precision_at_1
value: 62.5
verified: false
- type: precision_at_10
value: 30
verified: false
- type: precision_at_100
value: 10.038
verified: false
- type: precision_at_1000
value: 2.0869999999999997
verified: false
- type: precision_at_3
value: 46.833000000000006
verified: false
- type: precision_at_5
value: 38.800000000000004
verified: false
- type: recall_at_1
value: 8.527999999999999
verified: false
- type: recall_at_10
value: 23.828
verified: false
- type: recall_at_100
value: 52.322
verified: false
- type: recall_at_1000
value: 77.143
verified: false
- type: recall_at_3
value: 14.136000000000001
verified: false
- type: recall_at_5
value: 17.761
verified: false
- task:
type: Classification
dataset:
name: MTEB EmotionClassification
type: mteb/emotion
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 51.51
verified: false
- type: f1
value: 47.632159862049896
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FEVER
type: fever
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 60.734
verified: false
- type: map_at_10
value: 72.442
verified: false
- type: map_at_100
value: 72.735
verified: false
- type: map_at_1000
value: 72.75
verified: false
- type: map_at_3
value: 70.41199999999999
verified: false
- type: map_at_5
value: 71.80499999999999
verified: false
- type: mrr_at_1
value: 65.212
verified: false
- type: mrr_at_10
value: 76.613
verified: false
- type: mrr_at_100
value: 76.79899999999999
verified: false
- type: mrr_at_1000
value: 76.801
verified: false
- type: mrr_at_3
value: 74.8
verified: false
- type: mrr_at_5
value: 76.12400000000001
verified: false
- type: ndcg_at_1
value: 65.212
verified: false
- type: ndcg_at_10
value: 77.988
verified: false
- type: ndcg_at_100
value: 79.167
verified: false
- type: ndcg_at_1000
value: 79.452
verified: false
- type: ndcg_at_3
value: 74.362
verified: false
- type: ndcg_at_5
value: 76.666
verified: false
- type: precision_at_1
value: 65.212
verified: false
- type: precision_at_10
value: 10.003
verified: false
- type: precision_at_100
value: 1.077
verified: false
- type: precision_at_1000
value: 0.11199999999999999
verified: false
- type: precision_at_3
value: 29.518
verified: false
- type: precision_at_5
value: 19.016
verified: false
- type: recall_at_1
value: 60.734
verified: false
- type: recall_at_10
value: 90.824
verified: false
- type: recall_at_100
value: 95.71600000000001
verified: false
- type: recall_at_1000
value: 97.577
verified: false
- type: recall_at_3
value: 81.243
verified: false
- type: recall_at_5
value: 86.90299999999999
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA2018
type: fiqa
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 23.845
verified: false
- type: map_at_10
value: 39.281
verified: false
- type: map_at_100
value: 41.422
verified: false
- type: map_at_1000
value: 41.593
verified: false
- type: map_at_3
value: 34.467
verified: false
- type: map_at_5
value: 37.017
verified: false
- type: mrr_at_1
value: 47.531
verified: false
- type: mrr_at_10
value: 56.204
verified: false
- type: mrr_at_100
value: 56.928999999999995
verified: false
- type: mrr_at_1000
value: 56.962999999999994
verified: false
- type: mrr_at_3
value: 54.115
verified: false
- type: mrr_at_5
value: 55.373000000000005
verified: false
- type: ndcg_at_1
value: 47.531
verified: false
- type: ndcg_at_10
value: 47.711999999999996
verified: false
- type: ndcg_at_100
value: 54.510999999999996
verified: false
- type: ndcg_at_1000
value: 57.103
verified: false
- type: ndcg_at_3
value: 44.145
verified: false
- type: ndcg_at_5
value: 45.032
verified: false
- type: precision_at_1
value: 47.531
verified: false
- type: precision_at_10
value: 13.194
verified: false
- type: precision_at_100
value: 2.045
verified: false
- type: precision_at_1000
value: 0.249
verified: false
- type: precision_at_3
value: 29.424
verified: false
- type: precision_at_5
value: 21.451
verified: false
- type: recall_at_1
value: 23.845
verified: false
- type: recall_at_10
value: 54.967
verified: false
- type: recall_at_100
value: 79.11399999999999
verified: false
- type: recall_at_1000
value: 94.56700000000001
verified: false
- type: recall_at_3
value: 40.256
verified: false
- type: recall_at_5
value: 46.215
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA
type: hotpotqa
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 37.819
verified: false
- type: map_at_10
value: 60.889
verified: false
- type: map_at_100
value: 61.717999999999996
verified: false
- type: map_at_1000
value: 61.778
verified: false
- type: map_at_3
value: 57.254000000000005
verified: false
- type: map_at_5
value: 59.541
verified: false
- type: mrr_at_1
value: 75.638
verified: false
- type: mrr_at_10
value: 82.173
verified: false
- type: mrr_at_100
value: 82.362
verified: false
- type: mrr_at_1000
value: 82.37
verified: false
- type: mrr_at_3
value: 81.089
verified: false
- type: mrr_at_5
value: 81.827
verified: false
- type: ndcg_at_1
value: 75.638
verified: false
- type: ndcg_at_10
value: 69.317
verified: false
- type: ndcg_at_100
value: 72.221
verified: false
- type: ndcg_at_1000
value: 73.382
verified: false
- type: ndcg_at_3
value: 64.14
verified: false
- type: ndcg_at_5
value: 67.07600000000001
verified: false
- type: precision_at_1
value: 75.638
verified: false
- type: precision_at_10
value: 14.704999999999998
verified: false
- type: precision_at_100
value: 1.698
verified: false
- type: precision_at_1000
value: 0.185
verified: false
- type: precision_at_3
value: 41.394999999999996
verified: false
- type: precision_at_5
value: 27.162999999999997
verified: false
- type: recall_at_1
value: 37.819
verified: false
- type: recall_at_10
value: 73.52499999999999
verified: false
- type: recall_at_100
value: 84.875
verified: false
- type: recall_at_1000
value: 92.559
verified: false
- type: recall_at_3
value: 62.092999999999996
verified: false
- type: recall_at_5
value: 67.907
verified: false
- task:
type: Classification
dataset:
name: MTEB ImdbClassification
type: mteb/imdb
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 94.60079999999999
verified: false
- type: ap
value: 92.67396345347356
verified: false
- type: f1
value: 94.5988098167121
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MSMARCO
type: msmarco
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 21.285
verified: false
- type: map_at_10
value: 33.436
verified: false
- type: map_at_100
value: 34.63
verified: false
- type: map_at_1000
value: 34.681
verified: false
- type: map_at_3
value: 29.412
verified: false
- type: map_at_5
value: 31.715
verified: false
- type: mrr_at_1
value: 21.848
verified: false
- type: mrr_at_10
value: 33.979
verified: false
- type: mrr_at_100
value: 35.118
verified: false
- type: mrr_at_1000
value: 35.162
verified: false
- type: mrr_at_3
value: 30.036
verified: false
- type: mrr_at_5
value: 32.298
verified: false
- type: ndcg_at_1
value: 21.862000000000002
verified: false
- type: ndcg_at_10
value: 40.43
verified: false
- type: ndcg_at_100
value: 46.17
verified: false
- type: ndcg_at_1000
value: 47.412
verified: false
- type: ndcg_at_3
value: 32.221
verified: false
- type: ndcg_at_5
value: 36.332
verified: false
- type: precision_at_1
value: 21.862000000000002
verified: false
- type: precision_at_10
value: 6.491
verified: false
- type: precision_at_100
value: 0.935
verified: false
- type: precision_at_1000
value: 0.104
verified: false
- type: precision_at_3
value: 13.744
verified: false
- type: precision_at_5
value: 10.331999999999999
verified: false
- type: recall_at_1
value: 21.285
verified: false
- type: recall_at_10
value: 62.083
verified: false
- type: recall_at_100
value: 88.576
verified: false
- type: recall_at_1000
value: 98.006
verified: false
- type: recall_at_3
value: 39.729
verified: false
- type: recall_at_5
value: 49.608000000000004
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (en)
type: mteb/mtop_domain
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 93.92612859097127
verified: false
- type: f1
value: 93.82370333372853
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (de)
type: mteb/mtop_domain
config: de
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 92.67681036911807
verified: false
- type: f1
value: 92.14191382411472
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (es)
type: mteb/mtop_domain
config: es
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 92.26817878585723
verified: false
- type: f1
value: 91.92824250337878
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (fr)
type: mteb/mtop_domain
config: fr
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 89.96554963983714
verified: false
- type: f1
value: 90.02859329630792
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (hi)
type: mteb/mtop_domain
config: hi
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 90.02509860164935
verified: false
- type: f1
value: 89.30665159182062
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (th)
type: mteb/mtop_domain
config: th
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 87.55515370705244
verified: false
- type: f1
value: 87.94449232331907
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (en)
type: mteb/mtop_intent
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 82.4623803009576
verified: false
- type: f1
value: 66.06738378772725
verified: false
- task:
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value: 15.939
verified: false
- type: recall_at_1
value: 35.231
verified: false
- type: recall_at_10
value: 78.083
verified: false
- type: recall_at_100
value: 94.42099999999999
verified: false
- type: recall_at_1000
value: 98.81
verified: false
- type: recall_at_3
value: 57.047000000000004
verified: false
- type: recall_at_5
value: 67.637
verified: false
- task:
type: Retrieval
dataset:
name: MTEB QuoraRetrieval
type: quora
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 71.241
verified: false
- type: map_at_10
value: 85.462
verified: false
- type: map_at_100
value: 86.083
verified: false
- type: map_at_1000
value: 86.09700000000001
verified: false
- type: map_at_3
value: 82.49499999999999
verified: false
- type: map_at_5
value: 84.392
verified: false
- type: mrr_at_1
value: 82.09
verified: false
- type: mrr_at_10
value: 88.301
verified: false
- type: mrr_at_100
value: 88.383
verified: false
- type: mrr_at_1000
value: 88.384
verified: false
- type: mrr_at_3
value: 87.37
verified: false
- type: mrr_at_5
value: 88.035
verified: false
- type: ndcg_at_1
value: 82.12
verified: false
- type: ndcg_at_10
value: 89.149
verified: false
- type: ndcg_at_100
value: 90.235
verified: false
- type: ndcg_at_1000
value: 90.307
verified: false
- type: ndcg_at_3
value: 86.37599999999999
verified: false
- type: ndcg_at_5
value: 87.964
verified: false
- type: precision_at_1
value: 82.12
verified: false
- type: precision_at_10
value: 13.56
verified: false
- type: precision_at_100
value: 1.539
verified: false
- type: precision_at_1000
value: 0.157
verified: false
- type: precision_at_3
value: 37.88
verified: false
- type: precision_at_5
value: 24.92
verified: false
- type: recall_at_1
value: 71.241
verified: false
- type: recall_at_10
value: 96.128
verified: false
- type: recall_at_100
value: 99.696
verified: false
- type: recall_at_1000
value: 99.994
verified: false
- type: recall_at_3
value: 88.181
verified: false
- type: recall_at_5
value: 92.694
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClustering
type: mteb/reddit-clustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 56.59757799655151
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClusteringP2P
type: mteb/reddit-clustering-p2p
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 64.27391998854624
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS
type: scidocs
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 4.243
verified: false
- type: map_at_10
value: 10.965
verified: false
- type: map_at_100
value: 12.934999999999999
verified: false
- type: map_at_1000
value: 13.256
verified: false
- type: map_at_3
value: 7.907
verified: false
- type: map_at_5
value: 9.435
verified: false
- type: mrr_at_1
value: 20.9
verified: false
- type: mrr_at_10
value: 31.849
verified: false
- type: mrr_at_100
value: 32.964
verified: false
- type: mrr_at_1000
value: 33.024
verified: false
- type: mrr_at_3
value: 28.517
verified: false
- type: mrr_at_5
value: 30.381999999999998
verified: false
- type: ndcg_at_1
value: 20.9
verified: false
- type: ndcg_at_10
value: 18.723
verified: false
- type: ndcg_at_100
value: 26.384999999999998
verified: false
- type: ndcg_at_1000
value: 32.114
verified: false
- type: ndcg_at_3
value: 17.753
verified: false
- type: ndcg_at_5
value: 15.558
verified: false
- type: precision_at_1
value: 20.9
verified: false
- type: precision_at_10
value: 9.8
verified: false
- type: precision_at_100
value: 2.078
verified: false
- type: precision_at_1000
value: 0.345
verified: false
- type: precision_at_3
value: 16.900000000000002
verified: false
- type: precision_at_5
value: 13.88
verified: false
- type: recall_at_1
value: 4.243
verified: false
- type: recall_at_10
value: 19.885
verified: false
- type: recall_at_100
value: 42.17
verified: false
- type: recall_at_1000
value: 70.12
verified: false
- type: recall_at_3
value: 10.288
verified: false
- type: recall_at_5
value: 14.072000000000001
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R
type: mteb/sickr-sts
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 85.84209174935282
verified: false
- type: cos_sim_spearman
value: 81.73248048438833
verified: false
- type: euclidean_pearson
value: 83.02810070308149
verified: false
- type: euclidean_spearman
value: 81.73248295679514
verified: false
- type: manhattan_pearson
value: 82.95368060376002
verified: false
- type: manhattan_spearman
value: 81.60277910998718
verified: false
- task:
type: STS
dataset:
name: MTEB STS12
type: mteb/sts12-sts
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 88.52628804556943
verified: false
- type: cos_sim_spearman
value: 82.5713913555672
verified: false
- type: euclidean_pearson
value: 85.8796774746988
verified: false
- type: euclidean_spearman
value: 82.57137506803424
verified: false
- type: manhattan_pearson
value: 85.79671002960058
verified: false
- type: manhattan_spearman
value: 82.49445981618027
verified: false
- task:
type: STS
dataset:
name: MTEB STS13
type: mteb/sts13-sts
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 86.23682503505542
verified: false
- type: cos_sim_spearman
value: 87.15008956711806
verified: false
- type: euclidean_pearson
value: 86.79805401524959
verified: false
- type: euclidean_spearman
value: 87.15008956711806
verified: false
- type: manhattan_pearson
value: 86.65298502699244
verified: false
- type: manhattan_spearman
value: 86.97677821948562
verified: false
- task:
type: STS
dataset:
name: MTEB STS14
type: mteb/sts14-sts
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 85.63370304677802
verified: false
- type: cos_sim_spearman
value: 84.97105553540318
verified: false
- type: euclidean_pearson
value: 85.28896108687721
verified: false
- type: euclidean_spearman
value: 84.97105553540318
verified: false
- type: manhattan_pearson
value: 85.09663190337331
verified: false
- type: manhattan_spearman
value: 84.79126831644619
verified: false
- task:
type: STS
dataset:
name: MTEB STS15
type: mteb/sts15-sts
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 90.2614838800733
verified: false
- type: cos_sim_spearman
value: 91.0509162991835
verified: false
- type: euclidean_pearson
value: 90.33098317533373
verified: false
- type: euclidean_spearman
value: 91.05091625871644
verified: false
- type: manhattan_pearson
value: 90.26250435151107
verified: false
- type: manhattan_spearman
value: 90.97999594417519
verified: false
- task:
type: STS
dataset:
name: MTEB STS16
type: mteb/sts16-sts
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 85.80480973335091
verified: false
- type: cos_sim_spearman
value: 87.313695492969
verified: false
- type: euclidean_pearson
value: 86.49267251576939
verified: false
- type: euclidean_spearman
value: 87.313695492969
verified: false
- type: manhattan_pearson
value: 86.44019901831935
verified: false
- type: manhattan_spearman
value: 87.24205395460392
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-en)
type: mteb/sts17-crosslingual-sts
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 90.05662789380672
verified: false
- type: cos_sim_spearman
value: 90.02759424426651
verified: false
- type: euclidean_pearson
value: 90.4042483422981
verified: false
- type: euclidean_spearman
value: 90.02759424426651
verified: false
- type: manhattan_pearson
value: 90.51446975000226
verified: false
- type: manhattan_spearman
value: 90.08832889933616
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (en)
type: mteb/sts22-crosslingual-sts
config: en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics:
- type: cos_sim_pearson
value: 67.5975528273532
verified: false
- type: cos_sim_spearman
value: 67.62969861411354
verified: false
- type: euclidean_pearson
value: 69.224275734323
verified: false
- type: euclidean_spearman
value: 67.62969861411354
verified: false
- type: manhattan_pearson
value: 69.3761447059927
verified: false
- type: manhattan_spearman
value: 67.90921005611467
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmark
type: mteb/stsbenchmark-sts
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 87.11244327231684
verified: false
- type: cos_sim_spearman
value: 88.37902438979035
verified: false
- type: euclidean_pearson
value: 87.86054279847336
verified: false
- type: euclidean_spearman
value: 88.37902438979035
verified: false
- type: manhattan_pearson
value: 87.77257757320378
verified: false
- type: manhattan_spearman
value: 88.25208966098123
verified: false
- task:
type: Reranking
dataset:
name: MTEB SciDocsRR
type: mteb/scidocs-reranking
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 85.87174608143563
verified: false
- type: mrr
value: 96.12836872640794
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact
type: scifact
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 57.760999999999996
verified: false
- type: map_at_10
value: 67.258
verified: false
- type: map_at_100
value: 67.757
verified: false
- type: map_at_1000
value: 67.78800000000001
verified: false
- type: map_at_3
value: 64.602
verified: false
- type: map_at_5
value: 65.64
verified: false
- type: mrr_at_1
value: 60.667
verified: false
- type: mrr_at_10
value: 68.441
verified: false
- type: mrr_at_100
value: 68.825
verified: false
- type: mrr_at_1000
value: 68.853
verified: false
- type: mrr_at_3
value: 66.444
verified: false
- type: mrr_at_5
value: 67.26100000000001
verified: false
- type: ndcg_at_1
value: 60.667
verified: false
- type: ndcg_at_10
value: 71.852
verified: false
- type: ndcg_at_100
value: 73.9
verified: false
- type: ndcg_at_1000
value: 74.628
verified: false
- type: ndcg_at_3
value: 67.093
verified: false
- type: ndcg_at_5
value: 68.58
verified: false
- type: precision_at_1
value: 60.667
verified: false
- type: precision_at_10
value: 9.6
verified: false
- type: precision_at_100
value: 1.0670000000000002
verified: false
- type: precision_at_1000
value: 0.11199999999999999
verified: false
- type: precision_at_3
value: 26.111
verified: false
- type: precision_at_5
value: 16.733
verified: false
- type: recall_at_1
value: 57.760999999999996
verified: false
- type: recall_at_10
value: 84.967
verified: false
- type: recall_at_100
value: 93.833
verified: false
- type: recall_at_1000
value: 99.333
verified: false
- type: recall_at_3
value: 71.589
verified: false
- type: recall_at_5
value: 75.483
verified: false
- task:
type: PairClassification
dataset:
name: MTEB SprintDuplicateQuestions
type: mteb/sprintduplicatequestions-pairclassification
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.66633663366336
verified: false
- type: cos_sim_ap
value: 91.17685358899108
verified: false
- type: cos_sim_f1
value: 82.16818642350559
verified: false
- type: cos_sim_precision
value: 83.26488706365504
verified: false
- type: cos_sim_recall
value: 81.10000000000001
verified: false
- type: dot_accuracy
value: 99.66633663366336
verified: false
- type: dot_ap
value: 91.17663411119032
verified: false
- type: dot_f1
value: 82.16818642350559
verified: false
- type: dot_precision
value: 83.26488706365504
verified: false
- type: dot_recall
value: 81.10000000000001
verified: false
- type: euclidean_accuracy
value: 99.66633663366336
verified: false
- type: euclidean_ap
value: 91.17685189882275
verified: false
- type: euclidean_f1
value: 82.16818642350559
verified: false
- type: euclidean_precision
value: 83.26488706365504
verified: false
- type: euclidean_recall
value: 81.10000000000001
verified: false
- type: manhattan_accuracy
value: 99.66633663366336
verified: false
- type: manhattan_ap
value: 91.2241619496737
verified: false
- type: manhattan_f1
value: 82.20472440944883
verified: false
- type: manhattan_precision
value: 86.51933701657458
verified: false
- type: manhattan_recall
value: 78.3
verified: false
- type: max_accuracy
value: 99.66633663366336
verified: false
- type: max_ap
value: 91.2241619496737
verified: false
- type: max_f1
value: 82.20472440944883
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClustering
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 66.85101268897951
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClusteringP2P
type: mteb/stackexchange-clustering-p2p
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 42.461184054706905
verified: false
- task:
type: Reranking
dataset:
name: MTEB StackOverflowDupQuestions
type: mteb/stackoverflowdupquestions-reranking
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 51.44542568873886
verified: false
- type: mrr
value: 52.33656151854681
verified: false
- task:
type: Summarization
dataset:
name: MTEB SummEval
type: mteb/summeval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.75982974997539
verified: false
- type: cos_sim_spearman
value: 30.385405026539914
verified: false
- type: dot_pearson
value: 30.75982433546523
verified: false
- type: dot_spearman
value: 30.385405026539914
verified: false
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID
type: trec-covid
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.22799999999999998
verified: false
- type: map_at_10
value: 2.064
verified: false
- type: map_at_100
value: 13.056000000000001
verified: false
- type: map_at_1000
value: 31.747999999999998
verified: false
- type: map_at_3
value: 0.67
verified: false
- type: map_at_5
value: 1.097
verified: false
- type: mrr_at_1
value: 90
verified: false
- type: mrr_at_10
value: 94.667
verified: false
- type: mrr_at_100
value: 94.667
verified: false
- type: mrr_at_1000
value: 94.667
verified: false
- type: mrr_at_3
value: 94.667
verified: false
- type: mrr_at_5
value: 94.667
verified: false
- type: ndcg_at_1
value: 86
verified: false
- type: ndcg_at_10
value: 82
verified: false
- type: ndcg_at_100
value: 64.307
verified: false
- type: ndcg_at_1000
value: 57.023999999999994
verified: false
- type: ndcg_at_3
value: 85.816
verified: false
- type: ndcg_at_5
value: 84.904
verified: false
- type: precision_at_1
value: 90
verified: false
- type: precision_at_10
value: 85.8
verified: false
- type: precision_at_100
value: 66.46
verified: false
- type: precision_at_1000
value: 25.202
verified: false
- type: precision_at_3
value: 90
verified: false
- type: precision_at_5
value: 89.2
verified: false
- type: recall_at_1
value: 0.22799999999999998
verified: false
- type: recall_at_10
value: 2.235
verified: false
- type: recall_at_100
value: 16.185
verified: false
- type: recall_at_1000
value: 53.620999999999995
verified: false
- type: recall_at_3
value: 0.7040000000000001
verified: false
- type: recall_at_5
value: 1.172
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (sqi-eng)
type: mteb/tatoeba-bitext-mining
config: sqi-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 97.39999999999999
verified: false
- type: f1
value: 96.75
verified: false
- type: precision
value: 96.45
verified: false
- type: recall
value: 97.39999999999999
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (fry-eng)
type: mteb/tatoeba-bitext-mining
config: fry-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 85.54913294797689
verified: false
- type: f1
value: 82.46628131021194
verified: false
- type: precision
value: 81.1175337186898
verified: false
- type: recall
value: 85.54913294797689
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (kur-eng)
type: mteb/tatoeba-bitext-mining
config: kur-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 81.21951219512195
verified: false
- type: f1
value: 77.33333333333334
verified: false
- type: precision
value: 75.54878048780488
verified: false
- type: recall
value: 81.21951219512195
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (tur-eng)
type: mteb/tatoeba-bitext-mining
config: tur-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 98.6
verified: false
- type: f1
value: 98.26666666666665
verified: false
- type: precision
value: 98.1
verified: false
- type: recall
value: 98.6
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (deu-eng)
type: mteb/tatoeba-bitext-mining
config: deu-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 99.5
verified: false
- type: f1
value: 99.33333333333333
verified: false
- type: precision
value: 99.25
verified: false
- type: recall
value: 99.5
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (nld-eng)
type: mteb/tatoeba-bitext-mining
config: nld-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 97.8
verified: false
- type: f1
value: 97.2
verified: false
- type: precision
value: 96.89999999999999
verified: false
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metrics:
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dataset:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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type: BitextMining
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type: mteb/tatoeba-bitext-mining
config: swg-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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type: BitextMining
dataset:
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type: mteb/tatoeba-bitext-mining
config: arq-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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type: BitextMining
dataset:
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type: mteb/tatoeba-bitext-mining
config: kab-eng
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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type: BitextMining
dataset:
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type: mteb/tatoeba-bitext-mining
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split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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type: BitextMining
dataset:
name: MTEB Tatoeba (por-eng)
type: mteb/tatoeba-bitext-mining
config: por-eng
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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type: BitextMining
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type: mteb/tatoeba-bitext-mining
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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type: BitextMining
dataset:
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type: mteb/tatoeba-bitext-mining
config: oci-eng
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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type: BitextMining
dataset:
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type: mteb/tatoeba-bitext-mining
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metrics:
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type: BitextMining
dataset:
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dataset:
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type: mteb/tatoeba-bitext-mining
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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metrics:
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dataset:
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dataset:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
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dataset:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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metrics:
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metrics:
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dataset:
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metrics:
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- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (ber-eng)
type: mteb/tatoeba-bitext-mining
config: ber-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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value: 62.2
verified: false
- type: f1
value: 55.577460317460314
verified: false
- type: precision
value: 52.98583333333333
verified: false
- type: recall
value: 62.2
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (tam-eng)
type: mteb/tatoeba-bitext-mining
config: tam-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 92.18241042345277
verified: false
- type: f1
value: 90.6468124709167
verified: false
- type: precision
value: 89.95656894679696
verified: false
- type: recall
value: 92.18241042345277
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (slk-eng)
type: mteb/tatoeba-bitext-mining
config: slk-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 96.1
verified: false
- type: f1
value: 95.13333333333333
verified: false
- type: precision
value: 94.66666666666667
verified: false
- type: recall
value: 96.1
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (tgl-eng)
type: mteb/tatoeba-bitext-mining
config: tgl-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 96.8
verified: false
- type: f1
value: 95.85000000000001
verified: false
- type: precision
value: 95.39999999999999
verified: false
- type: recall
value: 96.8
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (ast-eng)
type: mteb/tatoeba-bitext-mining
config: ast-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 92.1259842519685
verified: false
- type: f1
value: 89.76377952755905
verified: false
- type: precision
value: 88.71391076115485
verified: false
- type: recall
value: 92.1259842519685
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (mkd-eng)
type: mteb/tatoeba-bitext-mining
config: mkd-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 94.1
verified: false
- type: f1
value: 92.49
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- type: precision
value: 91.725
verified: false
- type: recall
value: 94.1
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (khm-eng)
type: mteb/tatoeba-bitext-mining
config: khm-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 77.5623268698061
verified: false
- type: f1
value: 73.27364463791058
verified: false
- type: precision
value: 71.51947852086357
verified: false
- type: recall
value: 77.5623268698061
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (ces-eng)
type: mteb/tatoeba-bitext-mining
config: ces-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 97.39999999999999
verified: false
- type: f1
value: 96.56666666666666
verified: false
- type: precision
value: 96.16666666666667
verified: false
- type: recall
value: 97.39999999999999
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (tzl-eng)
type: mteb/tatoeba-bitext-mining
config: tzl-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 66.34615384615384
verified: false
- type: f1
value: 61.092032967032964
verified: false
- type: precision
value: 59.27197802197802
verified: false
- type: recall
value: 66.34615384615384
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (urd-eng)
type: mteb/tatoeba-bitext-mining
config: urd-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 94.89999999999999
verified: false
- type: f1
value: 93.41190476190476
verified: false
- type: precision
value: 92.7
verified: false
- type: recall
value: 94.89999999999999
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (ara-eng)
type: mteb/tatoeba-bitext-mining
config: ara-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 93.10000000000001
verified: false
- type: f1
value: 91.10000000000001
verified: false
- type: precision
value: 90.13333333333333
verified: false
- type: recall
value: 93.10000000000001
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (kor-eng)
type: mteb/tatoeba-bitext-mining
config: kor-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 93.7
verified: false
- type: f1
value: 91.97333333333334
verified: false
- type: precision
value: 91.14166666666667
verified: false
- type: recall
value: 93.7
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (yid-eng)
type: mteb/tatoeba-bitext-mining
config: yid-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 92.21698113207547
verified: false
- type: f1
value: 90.3796046720575
verified: false
- type: precision
value: 89.56367924528303
verified: false
- type: recall
value: 92.21698113207547
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (fin-eng)
type: mteb/tatoeba-bitext-mining
config: fin-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 97.6
verified: false
- type: f1
value: 96.91666666666667
verified: false
- type: precision
value: 96.6
verified: false
- type: recall
value: 97.6
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (tha-eng)
type: mteb/tatoeba-bitext-mining
config: tha-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 97.44525547445255
verified: false
- type: f1
value: 96.71532846715328
verified: false
- type: precision
value: 96.35036496350365
verified: false
- type: recall
value: 97.44525547445255
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (wuu-eng)
type: mteb/tatoeba-bitext-mining
config: wuu-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 94.1
verified: false
- type: f1
value: 92.34000000000002
verified: false
- type: precision
value: 91.49166666666667
verified: false
- type: recall
value: 94.1
verified: false
- task:
type: Retrieval
dataset:
name: MTEB Touche2020
type: webis-touche2020
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 3.2910000000000004
verified: false
- type: map_at_10
value: 10.373000000000001
verified: false
- type: map_at_100
value: 15.612
verified: false
- type: map_at_1000
value: 17.06
verified: false
- type: map_at_3
value: 6.119
verified: false
- type: map_at_5
value: 7.917000000000001
verified: false
- type: mrr_at_1
value: 44.897999999999996
verified: false
- type: mrr_at_10
value: 56.054
verified: false
- type: mrr_at_100
value: 56.82000000000001
verified: false
- type: mrr_at_1000
value: 56.82000000000001
verified: false
- type: mrr_at_3
value: 52.381
verified: false
- type: mrr_at_5
value: 53.81
verified: false
- type: ndcg_at_1
value: 42.857
verified: false
- type: ndcg_at_10
value: 27.249000000000002
verified: false
- type: ndcg_at_100
value: 36.529
verified: false
- type: ndcg_at_1000
value: 48.136
verified: false
- type: ndcg_at_3
value: 33.938
verified: false
- type: ndcg_at_5
value: 29.951
verified: false
- type: precision_at_1
value: 44.897999999999996
verified: false
- type: precision_at_10
value: 22.653000000000002
verified: false
- type: precision_at_100
value: 7.000000000000001
verified: false
- type: precision_at_1000
value: 1.48
verified: false
- type: precision_at_3
value: 32.653
verified: false
- type: precision_at_5
value: 27.755000000000003
verified: false
- type: recall_at_1
value: 3.2910000000000004
verified: false
- type: recall_at_10
value: 16.16
verified: false
- type: recall_at_100
value: 43.908
verified: false
- type: recall_at_1000
value: 79.823
verified: false
- type: recall_at_3
value: 7.156
verified: false
- type: recall_at_5
value: 10.204
verified: false
- task:
type: Classification
dataset:
name: MTEB ToxicConversationsClassification
type: mteb/toxic_conversations_50k
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 71.05879999999999
verified: false
- type: ap
value: 14.609748142799111
verified: false
- type: f1
value: 54.878956295843096
verified: false
- task:
type: Classification
dataset:
name: MTEB TweetSentimentExtractionClassification
type: mteb/tweet_sentiment_extraction
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 64.61799660441426
verified: false
- type: f1
value: 64.8698191961434
verified: false
- task:
type: Clustering
dataset:
name: MTEB TwentyNewsgroupsClustering
type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 51.32860036611885
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterSemEval2015
type: mteb/twittersemeval2015-pairclassification
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 88.34714192048638
verified: false
- type: cos_sim_ap
value: 80.26732975975634
verified: false
- type: cos_sim_f1
value: 73.53415148134374
verified: false
- type: cos_sim_precision
value: 69.34767360299276
verified: false
- type: cos_sim_recall
value: 78.25857519788919
verified: false
- type: dot_accuracy
value: 88.34714192048638
verified: false
- type: dot_ap
value: 80.26733698491206
verified: false
- type: dot_f1
value: 73.53415148134374
verified: false
- type: dot_precision
value: 69.34767360299276
verified: false
- type: dot_recall
value: 78.25857519788919
verified: false
- type: euclidean_accuracy
value: 88.34714192048638
verified: false
- type: euclidean_ap
value: 80.26734337771738
verified: false
- type: euclidean_f1
value: 73.53415148134374
verified: false
- type: euclidean_precision
value: 69.34767360299276
verified: false
- type: euclidean_recall
value: 78.25857519788919
verified: false
- type: manhattan_accuracy
value: 88.30541813196639
verified: false
- type: manhattan_ap
value: 80.19415808104145
verified: false
- type: manhattan_f1
value: 73.55143870713441
verified: false
- type: manhattan_precision
value: 73.25307511122743
verified: false
- type: manhattan_recall
value: 73.85224274406332
verified: false
- type: max_accuracy
value: 88.34714192048638
verified: false
- type: max_ap
value: 80.26734337771738
verified: false
- type: max_f1
value: 73.55143870713441
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterURLCorpus
type: mteb/twitterurlcorpus-pairclassification
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 89.81061047075717
verified: false
- type: cos_sim_ap
value: 87.11747055081017
verified: false
- type: cos_sim_f1
value: 80.04355498817256
verified: false
- type: cos_sim_precision
value: 78.1165262000733
verified: false
- type: cos_sim_recall
value: 82.06806282722513
verified: false
- type: dot_accuracy
value: 89.81061047075717
verified: false
- type: dot_ap
value: 87.11746902745236
verified: false
- type: dot_f1
value: 80.04355498817256
verified: false
- type: dot_precision
value: 78.1165262000733
verified: false
- type: dot_recall
value: 82.06806282722513
verified: false
- type: euclidean_accuracy
value: 89.81061047075717
verified: false
- type: euclidean_ap
value: 87.11746919324248
verified: false
- type: euclidean_f1
value: 80.04355498817256
verified: false
- type: euclidean_precision
value: 78.1165262000733
verified: false
- type: euclidean_recall
value: 82.06806282722513
verified: false
- type: manhattan_accuracy
value: 89.79508673885202
verified: false
- type: manhattan_ap
value: 87.11074390832218
verified: false
- type: manhattan_f1
value: 80.13002540726349
verified: false
- type: manhattan_precision
value: 77.83826945412311
verified: false
- type: manhattan_recall
value: 82.56082537727133
verified: false
- type: max_accuracy
value: 89.81061047075717
verified: false
- type: max_ap
value: 87.11747055081017
verified: false
- type: max_f1
value: 80.13002540726349
verified: false | null | null | null | null | [
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"README.md",
"config.json",
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"model.safetensors",
"modules.json",
"onnx/config.json",
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] | null | null | null | 2025-02-17T04:16:16+00:00 | language:
- multilingual
- af
- am
- ar
- as
- az
- be
- bg
- bn
- br
- bs
- ca
- cs
- cy
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- de
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license: mit
tags:
- mteb
- sentence-transformers
- transformers
model-index:
- name: multilingual-e5-large-instruct
results:
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactual
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 76.23880597014924
verified: false
- type: ap
value: 39.07351965022687
verified: false
- type: f1
value: 70.04836733862683
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (de)
type: mteb/amazon_counterfactual
config: de
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 66.71306209850107
verified: false
- type: ap
value: 79.01499914759529
verified: false
- type: f1
value: 64.81951817560703
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en-ext)
type: mteb/amazon_counterfactual
config: en-ext
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 73.85307346326837
verified: false
- type: ap
value: 22.447519885878737
verified: false
- type: f1
value: 61.0162730745633
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (ja)
type: mteb/amazon_counterfactual
config: ja
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 76.04925053533191
verified: false
- type: ap
value: 23.44983217128922
verified: false
- type: f1
value: 62.5723230907759
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonPolarityClassification
type: mteb/amazon_polarity
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 96.28742500000001
verified: false
- type: ap
value: 94.8449918887462
verified: false
- type: f1
value: 96.28680923610432
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (en)
type: mteb/amazon_reviews_multi
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 56.716
verified: false
- type: f1
value: 55.76510398266401
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (de)
type: mteb/amazon_reviews_multi
config: de
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 52.99999999999999
verified: false
- type: f1
value: 52.00829994765178
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (es)
type: mteb/amazon_reviews_multi
config: es
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 48.806000000000004
verified: false
- type: f1
value: 48.082345914983634
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (fr)
type: mteb/amazon_reviews_multi
config: fr
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 48.507999999999996
verified: false
- type: f1
value: 47.68752844642045
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (ja)
type: mteb/amazon_reviews_multi
config: ja
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 47.709999999999994
verified: false
- type: f1
value: 47.05870376637181
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (zh)
type: mteb/amazon_reviews_multi
config: zh
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 44.662000000000006
verified: false
- type: f1
value: 43.42371965372771
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna
type: arguana
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 31.721
verified: false
- type: map_at_10
value: 49.221
verified: false
- type: map_at_100
value: 49.884
verified: false
- type: map_at_1000
value: 49.888
verified: false
- type: map_at_3
value: 44.31
verified: false
- type: map_at_5
value: 47.276
verified: false
- type: mrr_at_1
value: 32.432
verified: false
- type: mrr_at_10
value: 49.5
verified: false
- type: mrr_at_100
value: 50.163000000000004
verified: false
- type: mrr_at_1000
value: 50.166
verified: false
- type: mrr_at_3
value: 44.618
verified: false
- type: mrr_at_5
value: 47.541
verified: false
- type: ndcg_at_1
value: 31.721
verified: false
- type: ndcg_at_10
value: 58.384
verified: false
- type: ndcg_at_100
value: 61.111000000000004
verified: false
- type: ndcg_at_1000
value: 61.187999999999995
verified: false
- type: ndcg_at_3
value: 48.386
verified: false
- type: ndcg_at_5
value: 53.708999999999996
verified: false
- type: precision_at_1
value: 31.721
verified: false
- type: precision_at_10
value: 8.741
verified: false
- type: precision_at_100
value: 0.991
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 20.057
verified: false
- type: precision_at_5
value: 14.609
verified: false
- type: recall_at_1
value: 31.721
verified: false
- type: recall_at_10
value: 87.411
verified: false
- type: recall_at_100
value: 99.075
verified: false
- type: recall_at_1000
value: 99.644
verified: false
- type: recall_at_3
value: 60.171
verified: false
- type: recall_at_5
value: 73.044
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringP2P
type: mteb/arxiv-clustering-p2p
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 46.40419580759799
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringS2S
type: mteb/arxiv-clustering-s2s
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 40.48593255007969
verified: false
- task:
type: Reranking
dataset:
name: MTEB AskUbuntuDupQuestions
type: mteb/askubuntudupquestions-reranking
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 63.889179122289995
verified: false
- type: mrr
value: 77.61146286769556
verified: false
- task:
type: STS
dataset:
name: MTEB BIOSSES
type: mteb/biosses-sts
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 88.15075203727929
verified: false
- type: cos_sim_spearman
value: 86.9622224570873
verified: false
- type: euclidean_pearson
value: 86.70473853624121
verified: false
- type: euclidean_spearman
value: 86.9622224570873
verified: false
- type: manhattan_pearson
value: 86.21089380980065
verified: false
- type: manhattan_spearman
value: 86.75318154937008
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (de-en)
type: mteb/bucc-bitext-mining
config: de-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: accuracy
value: 99.65553235908142
verified: false
- type: f1
value: 99.60681976339595
verified: false
- type: precision
value: 99.58246346555325
verified: false
- type: recall
value: 99.65553235908142
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (fr-en)
type: mteb/bucc-bitext-mining
config: fr-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: accuracy
value: 99.26260180497468
verified: false
- type: f1
value: 99.14520507740848
verified: false
- type: precision
value: 99.08650671362535
verified: false
- type: recall
value: 99.26260180497468
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (ru-en)
type: mteb/bucc-bitext-mining
config: ru-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: accuracy
value: 98.07412538967787
verified: false
- type: f1
value: 97.86629719431936
verified: false
- type: precision
value: 97.76238309664012
verified: false
- type: recall
value: 98.07412538967787
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (zh-en)
type: mteb/bucc-bitext-mining
config: zh-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: accuracy
value: 99.42074776197998
verified: false
- type: f1
value: 99.38564156573635
verified: false
- type: precision
value: 99.36808846761454
verified: false
- type: recall
value: 99.42074776197998
verified: false
- task:
type: Classification
dataset:
name: MTEB Banking77Classification
type: mteb/banking77
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 85.73376623376623
verified: false
- type: f1
value: 85.68480707214599
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringP2P
type: mteb/biorxiv-clustering-p2p
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 40.935218072113855
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringS2S
type: mteb/biorxiv-clustering-s2s
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 36.276389017675264
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 27.764166666666668
verified: false
- type: map_at_10
value: 37.298166666666674
verified: false
- type: map_at_100
value: 38.530166666666666
verified: false
- type: map_at_1000
value: 38.64416666666667
verified: false
- type: map_at_3
value: 34.484833333333334
verified: false
- type: map_at_5
value: 36.0385
verified: false
- type: mrr_at_1
value: 32.93558333333333
verified: false
- type: mrr_at_10
value: 41.589749999999995
verified: false
- type: mrr_at_100
value: 42.425333333333334
verified: false
- type: mrr_at_1000
value: 42.476333333333336
verified: false
- type: mrr_at_3
value: 39.26825
verified: false
- type: mrr_at_5
value: 40.567083333333336
verified: false
- type: ndcg_at_1
value: 32.93558333333333
verified: false
- type: ndcg_at_10
value: 42.706583333333334
verified: false
- type: ndcg_at_100
value: 47.82483333333333
verified: false
- type: ndcg_at_1000
value: 49.95733333333334
verified: false
- type: ndcg_at_3
value: 38.064750000000004
verified: false
- type: ndcg_at_5
value: 40.18158333333333
verified: false
- type: precision_at_1
value: 32.93558333333333
verified: false
- type: precision_at_10
value: 7.459833333333334
verified: false
- type: precision_at_100
value: 1.1830833333333335
verified: false
- type: precision_at_1000
value: 0.15608333333333332
verified: false
- type: precision_at_3
value: 17.5235
verified: false
- type: precision_at_5
value: 12.349833333333333
verified: false
- type: recall_at_1
value: 27.764166666666668
verified: false
- type: recall_at_10
value: 54.31775
verified: false
- type: recall_at_100
value: 76.74350000000001
verified: false
- type: recall_at_1000
value: 91.45208333333332
verified: false
- type: recall_at_3
value: 41.23425
verified: false
- type: recall_at_5
value: 46.73983333333334
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ClimateFEVER
type: climate-fever
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 12.969
verified: false
- type: map_at_10
value: 21.584999999999997
verified: false
- type: map_at_100
value: 23.3
verified: false
- type: map_at_1000
value: 23.5
verified: false
- type: map_at_3
value: 18.218999999999998
verified: false
- type: map_at_5
value: 19.983
verified: false
- type: mrr_at_1
value: 29.316
verified: false
- type: mrr_at_10
value: 40.033
verified: false
- type: mrr_at_100
value: 40.96
verified: false
- type: mrr_at_1000
value: 41.001
verified: false
- type: mrr_at_3
value: 37.123
verified: false
- type: mrr_at_5
value: 38.757999999999996
verified: false
- type: ndcg_at_1
value: 29.316
verified: false
- type: ndcg_at_10
value: 29.858
verified: false
- type: ndcg_at_100
value: 36.756
verified: false
- type: ndcg_at_1000
value: 40.245999999999995
verified: false
- type: ndcg_at_3
value: 24.822
verified: false
- type: ndcg_at_5
value: 26.565
verified: false
- type: precision_at_1
value: 29.316
verified: false
- type: precision_at_10
value: 9.186
verified: false
- type: precision_at_100
value: 1.6549999999999998
verified: false
- type: precision_at_1000
value: 0.22999999999999998
verified: false
- type: precision_at_3
value: 18.436
verified: false
- type: precision_at_5
value: 13.876
verified: false
- type: recall_at_1
value: 12.969
verified: false
- type: recall_at_10
value: 35.142
verified: false
- type: recall_at_100
value: 59.143
verified: false
- type: recall_at_1000
value: 78.594
verified: false
- type: recall_at_3
value: 22.604
verified: false
- type: recall_at_5
value: 27.883000000000003
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia
type: dbpedia-entity
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 8.527999999999999
verified: false
- type: map_at_10
value: 17.974999999999998
verified: false
- type: map_at_100
value: 25.665
verified: false
- type: map_at_1000
value: 27.406000000000002
verified: false
- type: map_at_3
value: 13.017999999999999
verified: false
- type: map_at_5
value: 15.137
verified: false
- type: mrr_at_1
value: 62.5
verified: false
- type: mrr_at_10
value: 71.891
verified: false
- type: mrr_at_100
value: 72.294
verified: false
- type: mrr_at_1000
value: 72.296
verified: false
- type: mrr_at_3
value: 69.958
verified: false
- type: mrr_at_5
value: 71.121
verified: false
- type: ndcg_at_1
value: 50.875
verified: false
- type: ndcg_at_10
value: 38.36
verified: false
- type: ndcg_at_100
value: 44.235
verified: false
- type: ndcg_at_1000
value: 52.154
verified: false
- type: ndcg_at_3
value: 43.008
verified: false
- type: ndcg_at_5
value: 40.083999999999996
verified: false
- type: precision_at_1
value: 62.5
verified: false
- type: precision_at_10
value: 30
verified: false
- type: precision_at_100
value: 10.038
verified: false
- type: precision_at_1000
value: 2.0869999999999997
verified: false
- type: precision_at_3
value: 46.833000000000006
verified: false
- type: precision_at_5
value: 38.800000000000004
verified: false
- type: recall_at_1
value: 8.527999999999999
verified: false
- type: recall_at_10
value: 23.828
verified: false
- type: recall_at_100
value: 52.322
verified: false
- type: recall_at_1000
value: 77.143
verified: false
- type: recall_at_3
value: 14.136000000000001
verified: false
- type: recall_at_5
value: 17.761
verified: false
- task:
type: Classification
dataset:
name: MTEB EmotionClassification
type: mteb/emotion
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 51.51
verified: false
- type: f1
value: 47.632159862049896
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FEVER
type: fever
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 60.734
verified: false
- type: map_at_10
value: 72.442
verified: false
- type: map_at_100
value: 72.735
verified: false
- type: map_at_1000
value: 72.75
verified: false
- type: map_at_3
value: 70.41199999999999
verified: false
- type: map_at_5
value: 71.80499999999999
verified: false
- type: mrr_at_1
value: 65.212
verified: false
- type: mrr_at_10
value: 76.613
verified: false
- type: mrr_at_100
value: 76.79899999999999
verified: false
- type: mrr_at_1000
value: 76.801
verified: false
- type: mrr_at_3
value: 74.8
verified: false
- type: mrr_at_5
value: 76.12400000000001
verified: false
- type: ndcg_at_1
value: 65.212
verified: false
- type: ndcg_at_10
value: 77.988
verified: false
- type: ndcg_at_100
value: 79.167
verified: false
- type: ndcg_at_1000
value: 79.452
verified: false
- type: ndcg_at_3
value: 74.362
verified: false
- type: ndcg_at_5
value: 76.666
verified: false
- type: precision_at_1
value: 65.212
verified: false
- type: precision_at_10
value: 10.003
verified: false
- type: precision_at_100
value: 1.077
verified: false
- type: precision_at_1000
value: 0.11199999999999999
verified: false
- type: precision_at_3
value: 29.518
verified: false
- type: precision_at_5
value: 19.016
verified: false
- type: recall_at_1
value: 60.734
verified: false
- type: recall_at_10
value: 90.824
verified: false
- type: recall_at_100
value: 95.71600000000001
verified: false
- type: recall_at_1000
value: 97.577
verified: false
- type: recall_at_3
value: 81.243
verified: false
- type: recall_at_5
value: 86.90299999999999
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA2018
type: fiqa
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 23.845
verified: false
- type: map_at_10
value: 39.281
verified: false
- type: map_at_100
value: 41.422
verified: false
- type: map_at_1000
value: 41.593
verified: false
- type: map_at_3
value: 34.467
verified: false
- type: map_at_5
value: 37.017
verified: false
- type: mrr_at_1
value: 47.531
verified: false
- type: mrr_at_10
value: 56.204
verified: false
- type: mrr_at_100
value: 56.928999999999995
verified: false
- type: mrr_at_1000
value: 56.962999999999994
verified: false
- type: mrr_at_3
value: 54.115
verified: false
- type: mrr_at_5
value: 55.373000000000005
verified: false
- type: ndcg_at_1
value: 47.531
verified: false
- type: ndcg_at_10
value: 47.711999999999996
verified: false
- type: ndcg_at_100
value: 54.510999999999996
verified: false
- type: ndcg_at_1000
value: 57.103
verified: false
- type: ndcg_at_3
value: 44.145
verified: false
- type: ndcg_at_5
value: 45.032
verified: false
- type: precision_at_1
value: 47.531
verified: false
- type: precision_at_10
value: 13.194
verified: false
- type: precision_at_100
value: 2.045
verified: false
- type: precision_at_1000
value: 0.249
verified: false
- type: precision_at_3
value: 29.424
verified: false
- type: precision_at_5
value: 21.451
verified: false
- type: recall_at_1
value: 23.845
verified: false
- type: recall_at_10
value: 54.967
verified: false
- type: recall_at_100
value: 79.11399999999999
verified: false
- type: recall_at_1000
value: 94.56700000000001
verified: false
- type: recall_at_3
value: 40.256
verified: false
- type: recall_at_5
value: 46.215
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA
type: hotpotqa
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 37.819
verified: false
- type: map_at_10
value: 60.889
verified: false
- type: map_at_100
value: 61.717999999999996
verified: false
- type: map_at_1000
value: 61.778
verified: false
- type: map_at_3
value: 57.254000000000005
verified: false
- type: map_at_5
value: 59.541
verified: false
- type: mrr_at_1
value: 75.638
verified: false
- type: mrr_at_10
value: 82.173
verified: false
- type: mrr_at_100
value: 82.362
verified: false
- type: mrr_at_1000
value: 82.37
verified: false
- type: mrr_at_3
value: 81.089
verified: false
- type: mrr_at_5
value: 81.827
verified: false
- type: ndcg_at_1
value: 75.638
verified: false
- type: ndcg_at_10
value: 69.317
verified: false
- type: ndcg_at_100
value: 72.221
verified: false
- type: ndcg_at_1000
value: 73.382
verified: false
- type: ndcg_at_3
value: 64.14
verified: false
- type: ndcg_at_5
value: 67.07600000000001
verified: false
- type: precision_at_1
value: 75.638
verified: false
- type: precision_at_10
value: 14.704999999999998
verified: false
- type: precision_at_100
value: 1.698
verified: false
- type: precision_at_1000
value: 0.185
verified: false
- type: precision_at_3
value: 41.394999999999996
verified: false
- type: precision_at_5
value: 27.162999999999997
verified: false
- type: recall_at_1
value: 37.819
verified: false
- type: recall_at_10
value: 73.52499999999999
verified: false
- type: recall_at_100
value: 84.875
verified: false
- type: recall_at_1000
value: 92.559
verified: false
- type: recall_at_3
value: 62.092999999999996
verified: false
- type: recall_at_5
value: 67.907
verified: false
- task:
type: Classification
dataset:
name: MTEB ImdbClassification
type: mteb/imdb
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 94.60079999999999
verified: false
- type: ap
value: 92.67396345347356
verified: false
- type: f1
value: 94.5988098167121
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MSMARCO
type: msmarco
config: default
split: dev
revision: None
metrics:
- type: map_at_1
value: 21.285
verified: false
- type: map_at_10
value: 33.436
verified: false
- type: map_at_100
value: 34.63
verified: false
- type: map_at_1000
value: 34.681
verified: false
- type: map_at_3
value: 29.412
verified: false
- type: map_at_5
value: 31.715
verified: false
- type: mrr_at_1
value: 21.848
verified: false
- type: mrr_at_10
value: 33.979
verified: false
- type: mrr_at_100
value: 35.118
verified: false
- type: mrr_at_1000
value: 35.162
verified: false
- type: mrr_at_3
value: 30.036
verified: false
- type: mrr_at_5
value: 32.298
verified: false
- type: ndcg_at_1
value: 21.862000000000002
verified: false
- type: ndcg_at_10
value: 40.43
verified: false
- type: ndcg_at_100
value: 46.17
verified: false
- type: ndcg_at_1000
value: 47.412
verified: false
- type: ndcg_at_3
value: 32.221
verified: false
- type: ndcg_at_5
value: 36.332
verified: false
- type: precision_at_1
value: 21.862000000000002
verified: false
- type: precision_at_10
value: 6.491
verified: false
- type: precision_at_100
value: 0.935
verified: false
- type: precision_at_1000
value: 0.104
verified: false
- type: precision_at_3
value: 13.744
verified: false
- type: precision_at_5
value: 10.331999999999999
verified: false
- type: recall_at_1
value: 21.285
verified: false
- type: recall_at_10
value: 62.083
verified: false
- type: recall_at_100
value: 88.576
verified: false
- type: recall_at_1000
value: 98.006
verified: false
- type: recall_at_3
value: 39.729
verified: false
- type: recall_at_5
value: 49.608000000000004
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (en)
type: mteb/mtop_domain
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 93.92612859097127
verified: false
- type: f1
value: 93.82370333372853
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (de)
type: mteb/mtop_domain
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verified: false
- type: recall_at_1
value: 5.935
verified: false
- type: recall_at_10
value: 17.211000000000002
verified: false
- type: recall_at_100
value: 34.33
verified: false
- type: recall_at_1000
value: 65.551
verified: false
- type: recall_at_3
value: 10.483
verified: false
- type: recall_at_5
value: 13.078999999999999
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NQ
type: nq
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 35.231
verified: false
- type: map_at_10
value: 50.202000000000005
verified: false
- type: map_at_100
value: 51.154999999999994
verified: false
- type: map_at_1000
value: 51.181
verified: false
- type: map_at_3
value: 45.774
verified: false
- type: map_at_5
value: 48.522
verified: false
- type: mrr_at_1
value: 39.687
verified: false
- type: mrr_at_10
value: 52.88
verified: false
- type: mrr_at_100
value: 53.569
verified: false
- type: mrr_at_1000
value: 53.58500000000001
verified: false
- type: mrr_at_3
value: 49.228
verified: false
- type: mrr_at_5
value: 51.525
verified: false
- type: ndcg_at_1
value: 39.687
verified: false
- type: ndcg_at_10
value: 57.754000000000005
verified: false
- type: ndcg_at_100
value: 61.597
verified: false
- type: ndcg_at_1000
value: 62.18900000000001
verified: false
- type: ndcg_at_3
value: 49.55
verified: false
- type: ndcg_at_5
value: 54.11899999999999
verified: false
- type: precision_at_1
value: 39.687
verified: false
- type: precision_at_10
value: 9.313
verified: false
- type: precision_at_100
value: 1.146
verified: false
- type: precision_at_1000
value: 0.12
verified: false
- type: precision_at_3
value: 22.229
verified: false
- type: precision_at_5
value: 15.939
verified: false
- type: recall_at_1
value: 35.231
verified: false
- type: recall_at_10
value: 78.083
verified: false
- type: recall_at_100
value: 94.42099999999999
verified: false
- type: recall_at_1000
value: 98.81
verified: false
- type: recall_at_3
value: 57.047000000000004
verified: false
- type: recall_at_5
value: 67.637
verified: false
- task:
type: Retrieval
dataset:
name: MTEB QuoraRetrieval
type: quora
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 71.241
verified: false
- type: map_at_10
value: 85.462
verified: false
- type: map_at_100
value: 86.083
verified: false
- type: map_at_1000
value: 86.09700000000001
verified: false
- type: map_at_3
value: 82.49499999999999
verified: false
- type: map_at_5
value: 84.392
verified: false
- type: mrr_at_1
value: 82.09
verified: false
- type: mrr_at_10
value: 88.301
verified: false
- type: mrr_at_100
value: 88.383
verified: false
- type: mrr_at_1000
value: 88.384
verified: false
- type: mrr_at_3
value: 87.37
verified: false
- type: mrr_at_5
value: 88.035
verified: false
- type: ndcg_at_1
value: 82.12
verified: false
- type: ndcg_at_10
value: 89.149
verified: false
- type: ndcg_at_100
value: 90.235
verified: false
- type: ndcg_at_1000
value: 90.307
verified: false
- type: ndcg_at_3
value: 86.37599999999999
verified: false
- type: ndcg_at_5
value: 87.964
verified: false
- type: precision_at_1
value: 82.12
verified: false
- type: precision_at_10
value: 13.56
verified: false
- type: precision_at_100
value: 1.539
verified: false
- type: precision_at_1000
value: 0.157
verified: false
- type: precision_at_3
value: 37.88
verified: false
- type: precision_at_5
value: 24.92
verified: false
- type: recall_at_1
value: 71.241
verified: false
- type: recall_at_10
value: 96.128
verified: false
- type: recall_at_100
value: 99.696
verified: false
- type: recall_at_1000
value: 99.994
verified: false
- type: recall_at_3
value: 88.181
verified: false
- type: recall_at_5
value: 92.694
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClustering
type: mteb/reddit-clustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 56.59757799655151
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClusteringP2P
type: mteb/reddit-clustering-p2p
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 64.27391998854624
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS
type: scidocs
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 4.243
verified: false
- type: map_at_10
value: 10.965
verified: false
- type: map_at_100
value: 12.934999999999999
verified: false
- type: map_at_1000
value: 13.256
verified: false
- type: map_at_3
value: 7.907
verified: false
- type: map_at_5
value: 9.435
verified: false
- type: mrr_at_1
value: 20.9
verified: false
- type: mrr_at_10
value: 31.849
verified: false
- type: mrr_at_100
value: 32.964
verified: false
- type: mrr_at_1000
value: 33.024
verified: false
- type: mrr_at_3
value: 28.517
verified: false
- type: mrr_at_5
value: 30.381999999999998
verified: false
- type: ndcg_at_1
value: 20.9
verified: false
- type: ndcg_at_10
value: 18.723
verified: false
- type: ndcg_at_100
value: 26.384999999999998
verified: false
- type: ndcg_at_1000
value: 32.114
verified: false
- type: ndcg_at_3
value: 17.753
verified: false
- type: ndcg_at_5
value: 15.558
verified: false
- type: precision_at_1
value: 20.9
verified: false
- type: precision_at_10
value: 9.8
verified: false
- type: precision_at_100
value: 2.078
verified: false
- type: precision_at_1000
value: 0.345
verified: false
- type: precision_at_3
value: 16.900000000000002
verified: false
- type: precision_at_5
value: 13.88
verified: false
- type: recall_at_1
value: 4.243
verified: false
- type: recall_at_10
value: 19.885
verified: false
- type: recall_at_100
value: 42.17
verified: false
- type: recall_at_1000
value: 70.12
verified: false
- type: recall_at_3
value: 10.288
verified: false
- type: recall_at_5
value: 14.072000000000001
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R
type: mteb/sickr-sts
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 85.84209174935282
verified: false
- type: cos_sim_spearman
value: 81.73248048438833
verified: false
- type: euclidean_pearson
value: 83.02810070308149
verified: false
- type: euclidean_spearman
value: 81.73248295679514
verified: false
- type: manhattan_pearson
value: 82.95368060376002
verified: false
- type: manhattan_spearman
value: 81.60277910998718
verified: false
- task:
type: STS
dataset:
name: MTEB STS12
type: mteb/sts12-sts
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 88.52628804556943
verified: false
- type: cos_sim_spearman
value: 82.5713913555672
verified: false
- type: euclidean_pearson
value: 85.8796774746988
verified: false
- type: euclidean_spearman
value: 82.57137506803424
verified: false
- type: manhattan_pearson
value: 85.79671002960058
verified: false
- type: manhattan_spearman
value: 82.49445981618027
verified: false
- task:
type: STS
dataset:
name: MTEB STS13
type: mteb/sts13-sts
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 86.23682503505542
verified: false
- type: cos_sim_spearman
value: 87.15008956711806
verified: false
- type: euclidean_pearson
value: 86.79805401524959
verified: false
- type: euclidean_spearman
value: 87.15008956711806
verified: false
- type: manhattan_pearson
value: 86.65298502699244
verified: false
- type: manhattan_spearman
value: 86.97677821948562
verified: false
- task:
type: STS
dataset:
name: MTEB STS14
type: mteb/sts14-sts
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 85.63370304677802
verified: false
- type: cos_sim_spearman
value: 84.97105553540318
verified: false
- type: euclidean_pearson
value: 85.28896108687721
verified: false
- type: euclidean_spearman
value: 84.97105553540318
verified: false
- type: manhattan_pearson
value: 85.09663190337331
verified: false
- type: manhattan_spearman
value: 84.79126831644619
verified: false
- task:
type: STS
dataset:
name: MTEB STS15
type: mteb/sts15-sts
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 90.2614838800733
verified: false
- type: cos_sim_spearman
value: 91.0509162991835
verified: false
- type: euclidean_pearson
value: 90.33098317533373
verified: false
- type: euclidean_spearman
value: 91.05091625871644
verified: false
- type: manhattan_pearson
value: 90.26250435151107
verified: false
- type: manhattan_spearman
value: 90.97999594417519
verified: false
- task:
type: STS
dataset:
name: MTEB STS16
type: mteb/sts16-sts
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 85.80480973335091
verified: false
- type: cos_sim_spearman
value: 87.313695492969
verified: false
- type: euclidean_pearson
value: 86.49267251576939
verified: false
- type: euclidean_spearman
value: 87.313695492969
verified: false
- type: manhattan_pearson
value: 86.44019901831935
verified: false
- type: manhattan_spearman
value: 87.24205395460392
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-en)
type: mteb/sts17-crosslingual-sts
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 90.05662789380672
verified: false
- type: cos_sim_spearman
value: 90.02759424426651
verified: false
- type: euclidean_pearson
value: 90.4042483422981
verified: false
- type: euclidean_spearman
value: 90.02759424426651
verified: false
- type: manhattan_pearson
value: 90.51446975000226
verified: false
- type: manhattan_spearman
value: 90.08832889933616
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (en)
type: mteb/sts22-crosslingual-sts
config: en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics:
- type: cos_sim_pearson
value: 67.5975528273532
verified: false
- type: cos_sim_spearman
value: 67.62969861411354
verified: false
- type: euclidean_pearson
value: 69.224275734323
verified: false
- type: euclidean_spearman
value: 67.62969861411354
verified: false
- type: manhattan_pearson
value: 69.3761447059927
verified: false
- type: manhattan_spearman
value: 67.90921005611467
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmark
type: mteb/stsbenchmark-sts
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 87.11244327231684
verified: false
- type: cos_sim_spearman
value: 88.37902438979035
verified: false
- type: euclidean_pearson
value: 87.86054279847336
verified: false
- type: euclidean_spearman
value: 88.37902438979035
verified: false
- type: manhattan_pearson
value: 87.77257757320378
verified: false
- type: manhattan_spearman
value: 88.25208966098123
verified: false
- task:
type: Reranking
dataset:
name: MTEB SciDocsRR
type: mteb/scidocs-reranking
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 85.87174608143563
verified: false
- type: mrr
value: 96.12836872640794
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact
type: scifact
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 57.760999999999996
verified: false
- type: map_at_10
value: 67.258
verified: false
- type: map_at_100
value: 67.757
verified: false
- type: map_at_1000
value: 67.78800000000001
verified: false
- type: map_at_3
value: 64.602
verified: false
- type: map_at_5
value: 65.64
verified: false
- type: mrr_at_1
value: 60.667
verified: false
- type: mrr_at_10
value: 68.441
verified: false
- type: mrr_at_100
value: 68.825
verified: false
- type: mrr_at_1000
value: 68.853
verified: false
- type: mrr_at_3
value: 66.444
verified: false
- type: mrr_at_5
value: 67.26100000000001
verified: false
- type: ndcg_at_1
value: 60.667
verified: false
- type: ndcg_at_10
value: 71.852
verified: false
- type: ndcg_at_100
value: 73.9
verified: false
- type: ndcg_at_1000
value: 74.628
verified: false
- type: ndcg_at_3
value: 67.093
verified: false
- type: ndcg_at_5
value: 68.58
verified: false
- type: precision_at_1
value: 60.667
verified: false
- type: precision_at_10
value: 9.6
verified: false
- type: precision_at_100
value: 1.0670000000000002
verified: false
- type: precision_at_1000
value: 0.11199999999999999
verified: false
- type: precision_at_3
value: 26.111
verified: false
- type: precision_at_5
value: 16.733
verified: false
- type: recall_at_1
value: 57.760999999999996
verified: false
- type: recall_at_10
value: 84.967
verified: false
- type: recall_at_100
value: 93.833
verified: false
- type: recall_at_1000
value: 99.333
verified: false
- type: recall_at_3
value: 71.589
verified: false
- type: recall_at_5
value: 75.483
verified: false
- task:
type: PairClassification
dataset:
name: MTEB SprintDuplicateQuestions
type: mteb/sprintduplicatequestions-pairclassification
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.66633663366336
verified: false
- type: cos_sim_ap
value: 91.17685358899108
verified: false
- type: cos_sim_f1
value: 82.16818642350559
verified: false
- type: cos_sim_precision
value: 83.26488706365504
verified: false
- type: cos_sim_recall
value: 81.10000000000001
verified: false
- type: dot_accuracy
value: 99.66633663366336
verified: false
- type: dot_ap
value: 91.17663411119032
verified: false
- type: dot_f1
value: 82.16818642350559
verified: false
- type: dot_precision
value: 83.26488706365504
verified: false
- type: dot_recall
value: 81.10000000000001
verified: false
- type: euclidean_accuracy
value: 99.66633663366336
verified: false
- type: euclidean_ap
value: 91.17685189882275
verified: false
- type: euclidean_f1
value: 82.16818642350559
verified: false
- type: euclidean_precision
value: 83.26488706365504
verified: false
- type: euclidean_recall
value: 81.10000000000001
verified: false
- type: manhattan_accuracy
value: 99.66633663366336
verified: false
- type: manhattan_ap
value: 91.2241619496737
verified: false
- type: manhattan_f1
value: 82.20472440944883
verified: false
- type: manhattan_precision
value: 86.51933701657458
verified: false
- type: manhattan_recall
value: 78.3
verified: false
- type: max_accuracy
value: 99.66633663366336
verified: false
- type: max_ap
value: 91.2241619496737
verified: false
- type: max_f1
value: 82.20472440944883
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClustering
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 66.85101268897951
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClusteringP2P
type: mteb/stackexchange-clustering-p2p
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 42.461184054706905
verified: false
- task:
type: Reranking
dataset:
name: MTEB StackOverflowDupQuestions
type: mteb/stackoverflowdupquestions-reranking
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 51.44542568873886
verified: false
- type: mrr
value: 52.33656151854681
verified: false
- task:
type: Summarization
dataset:
name: MTEB SummEval
type: mteb/summeval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 30.75982974997539
verified: false
- type: cos_sim_spearman
value: 30.385405026539914
verified: false
- type: dot_pearson
value: 30.75982433546523
verified: false
- type: dot_spearman
value: 30.385405026539914
verified: false
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID
type: trec-covid
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.22799999999999998
verified: false
- type: map_at_10
value: 2.064
verified: false
- type: map_at_100
value: 13.056000000000001
verified: false
- type: map_at_1000
value: 31.747999999999998
verified: false
- type: map_at_3
value: 0.67
verified: false
- type: map_at_5
value: 1.097
verified: false
- type: mrr_at_1
value: 90
verified: false
- type: mrr_at_10
value: 94.667
verified: false
- type: mrr_at_100
value: 94.667
verified: false
- type: mrr_at_1000
value: 94.667
verified: false
- type: mrr_at_3
value: 94.667
verified: false
- type: mrr_at_5
value: 94.667
verified: false
- type: ndcg_at_1
value: 86
verified: false
- type: ndcg_at_10
value: 82
verified: false
- type: ndcg_at_100
value: 64.307
verified: false
- type: ndcg_at_1000
value: 57.023999999999994
verified: false
- type: ndcg_at_3
value: 85.816
verified: false
- type: ndcg_at_5
value: 84.904
verified: false
- type: precision_at_1
value: 90
verified: false
- type: precision_at_10
value: 85.8
verified: false
- type: precision_at_100
value: 66.46
verified: false
- type: precision_at_1000
value: 25.202
verified: false
- type: precision_at_3
value: 90
verified: false
- type: precision_at_5
value: 89.2
verified: false
- type: recall_at_1
value: 0.22799999999999998
verified: false
- type: recall_at_10
value: 2.235
verified: false
- type: recall_at_100
value: 16.185
verified: false
- type: recall_at_1000
value: 53.620999999999995
verified: false
- type: recall_at_3
value: 0.7040000000000001
verified: false
- type: recall_at_5
value: 1.172
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (sqi-eng)
type: mteb/tatoeba-bitext-mining
config: sqi-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: accuracy
value: 97.39999999999999
verified: false
- type: f1
value: 96.75
verified: false
- type: precision
value: 96.45
verified: false
- type: recall
value: 97.39999999999999
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (fry-eng)
type: mteb/tatoeba-bitext-mining
config: fry-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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verified: false | null | 65c4d034d89d320a17e7a437 | intfloat/multilingual-e5-large-instruct |
xinsir/controlnet-union-sdxl-1.0 | xinsir | 801a4a3fa3d4c936f4feea95b98607bc6726f80c | 2024-07-30T09:01:56+00:00 | 2024-07-07T07:41:40Z | false | False | null | 140,534 | null | 1,370 | diffusers | null | cold | null | [
"diffusers",
"safetensors",
"Text-to-Image",
"ControlNet",
"Diffusers",
"Stable Diffusion",
"text-to-image",
"license:apache-2.0",
"region:us"
] | text-to-image | null | 11 | license: apache-2.0
pipeline_tag: text-to-image
tags:
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- ControlNet
- Diffusers
- Stable Diffusion | null | null | null | null | [
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pipeline_tag: text-to-image
tags:
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Qwen/Qwen2-Audio-7B-Instruct | Qwen | 0a095220c30b7b31434169c3086508ef3ea5bf0a | 2025-01-12T02:05:48+00:00 | 2024-07-31T09:22:21Z | false | False | null | 100,270 | null | 400 | transformers | null | pipeline-library-pair-not-supported | null | [
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license: apache-2.0
tags:
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codermert/ezelll_flux | codermert | a7c9ca1aa789d1e3ba40cc97ef0422c6d0159472 | 2025-02-28T14:02:51+00:00 | 2024-10-24T16:24:35Z | false | False | null | 286 | null | 35 | diffusers | null | null | null | [
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language:
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license: other
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
pipeline_tag: text-to-image
tags:
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instance_prompt: DHANUSH | null | null | null | null | [
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instance_prompt: DHANUSH | null | 671a74c336dd93a0b599cc7b | codermert/ezelll_flux |
openfree/korea-president-yoon | openfree | 4d8532117c811eb0dc3296868fc34e903561b6af | 2025-01-19T05:06:03+00:00 | 2025-01-19T04:33:37Z | false | False | null | 124 | null | 113 | diffusers | null | warm | null | [
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license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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license_name: flux-1-dev-non-commercial-license
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instance_prompt: president yoon | null | 678c80a12dfe5dd60c23de84 | openfree/korea-president-yoon |
deepseek-ai/DeepSeek-R1-Zero | deepseek-ai | 72234287cbc67dbf474d911359ae32b61a2fdc7e | 2025-03-27T04:02:04+00:00 | 2025-01-20T03:35:48Z | false | False | null | 9,136 | null | 879 | transformers | null | null | null | [
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license: mit | null | null | null | null | [
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] | null | null | null | 2025-03-27T04:02:04+00:00 | library_name: transformers
license: mit | null | 678dc4948b0ce22ae88ee52e | deepseek-ai/DeepSeek-R1-Zero |
Sukino/SillyTavern-Settings-and-Presets | Sukino | f2528a3a8564b96170e84aefd12e4944d1424752 | 2025-03-30T07:58:28+00:00 | 2025-02-16T19:51:22Z | false | False | null | 0 | null | 48 | null | null | null | null | [
"ai roleplay",
"chatbots",
"sillytavern",
"settings",
"en",
"region:us"
] | null | null | 11 | language:
- en
tags:
- ai roleplay
- chatbots
- sillytavern
- settings | null | null | null | null | [
".gitattributes",
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] | null | null | null | 2025-03-30T07:58:28+00:00 | language:
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tags:
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- sillytavern
- settings | null | 67b241baab7e38657e3b25ef | Sukino/SillyTavern-Settings-and-Presets |
fibonacciai/fibonacci-1-EN-8b-chat.P1_5 | fibonacciai | af5c2f173ae01c6ca67fca146ee5e310cc072a7b | 2025-03-23T04:17:54+00:00 | 2025-02-25T23:10:31Z | false | False | null | 105 | null | 11 | null | null | null | null | [
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"region:us"
] | text-generation | null | 11 | base_model:
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datasets:
- fibonacciai/Persian-llm-fibonacci-1-pro
language:
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- ar
- fa
license: mit
pipeline_tag: text-generation
tags:
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- FIBONACCI
new_version: fibonacciai/fibonacci-1-EN-8b-chat.P1_5 | null | null | null | null | [
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] | null | null | null | 2025-03-23T04:17:54+00:00 | base_model:
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datasets:
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language:
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license: mit
pipeline_tag: text-generation
tags:
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new_version: fibonacciai/fibonacci-1-EN-8b-chat.P1_5 | null | 67be4de73e718f259b58db8f | fibonacciai/fibonacci-1-EN-8b-chat.P1_5 |
ASLP-lab/DiffRhythm-base | ASLP-lab | 6cb11765c53bd4c7548f40d9e43588e508c2ec6f | 2025-03-26T05:48:41+00:00 | 2025-03-02T15:16:58Z | false | False | null | 278 | null | 151 | DiffRhythm | null | null | null | [
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"music",
"art",
"diffusion",
"zh",
"en",
"arxiv:2503.01183",
"license:apache-2.0",
"region:us"
] | null | null | 11 | language:
- zh
- en
library_name: DiffRhythm
license: apache-2.0
license_name: stable-audio-community
license_link: LICENSE
tags:
- music
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- diffusion | null | null | null | null | [
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"README.md",
"cfm_model.pt",
"config.json",
"src/ASLP.jpg",
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] | null | null | null | 2025-03-26T05:48:41+00:00 | language:
- zh
- en
library_name: DiffRhythm
license: apache-2.0
license_name: stable-audio-community
license_link: LICENSE
tags:
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- diffusion | null | 67c4766ad43a5b1766e00afe | ASLP-lab/DiffRhythm-base |
huihui-ai/QwQ-32B-abliterated | huihui-ai | 24e340cd930e43ff7899c3bc1c75758c4210d119 | 2025-03-12T04:47:38+00:00 | 2025-03-07T15:29:46Z | false | False | null | 2,851 | null | 75 | transformers | null | null | null | [
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"uncensored",
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"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 11 | base_model: Qwen/QwQ-32B
language:
- en
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/huihui-ai/QwQ-32B-abliterated/blob/main/LICENSE
pipeline_tag: text-generation
tags:
- chat
- abliterated
- uncensored | null | null | null | null | [
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] | null | null | null | 2025-03-12T04:47:38+00:00 | base_model: Qwen/QwQ-32B
language:
- en
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/huihui-ai/QwQ-32B-abliterated/blob/main/LICENSE
pipeline_tag: text-generation
tags:
- chat
- abliterated
- uncensored | null | 67cb10ea74f0d88c3243384b | huihui-ai/QwQ-32B-abliterated |
Intelligent-Internet/II-Thought-1.5B-Preview | Intelligent-Internet | d66db8f5d4b6e569ece4ecdbf1c7fed51d9c4f3e | 2025-03-25T16:44:32+00:00 | 2025-03-24T07:57:49Z | false | False | null | 687 | null | 11 | null | null | null | null | [
"safetensors",
"qwen2",
"region:us"
] | null | null | 11 | null | null | null | null | null | [
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] | null | null | null | 2025-03-25T16:44:32+00:00 | null | null | 67e1107db04d9e83683f2515 | Intelligent-Internet/II-Thought-1.5B-Preview |
HuggingFaceH4/zephyr-7b-beta | HuggingFaceH4 | 892b3d7a7b1cf10c7a701c60881cd93df615734c | 2024-10-16T11:48:13+00:00 | 2023-10-26T11:25:49Z | false | False | null | 648,848 | null | 1,676 | transformers | null | warm | null | [
"transformers",
"pytorch",
"safetensors",
"mistral",
"text-generation",
"generated_from_trainer",
"conversational",
"en",
"dataset:HuggingFaceH4/ultrachat_200k",
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"license:mit",
"model-index",
"autotrain_compatible",
"text-generation-inference",
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] | text-generation | null | 10 | base_model: mistralai/Mistral-7B-v0.1
datasets:
- HuggingFaceH4/ultrachat_200k
- HuggingFaceH4/ultrafeedback_binarized
language:
- en
license: mit
pipeline_tag: text-generation
tags:
- generated_from_trainer
widget:
- example_title: Pirate!
messages:
- role: system
content: You are a pirate chatbot who always responds with Arr!
- role: user
content: There's a llama on my lawn, how can I get rid of him?
output:
text: Arr! 'Tis a puzzlin' matter, me hearty! A llama on yer lawn be a rare sight,
but I've got a plan that might help ye get rid of 'im. Ye'll need to gather
some carrots and hay, and then lure the llama away with the promise of a tasty
treat. Once he's gone, ye can clean up yer lawn and enjoy the peace and quiet
once again. But beware, me hearty, for there may be more llamas where that one
came from! Arr!
model-index:
- name: zephyr-7b-beta
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 62.03071672354948
name: normalized accuracy
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 84.35570603465445
name: normalized accuracy
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Drop (3-Shot)
type: drop
split: validation
args:
num_few_shot: 3
metrics:
- type: f1
value: 9.66243708053691
name: f1 score
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 57.44916942762855
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 12.736921910538287
name: accuracy
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 61.07
name: accuracy
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 77.7426992896606
name: accuracy
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: AlpacaEval
type: tatsu-lab/alpaca_eval
metrics:
- type: unknown
value: 0.906
name: win rate
verified: false
source:
url: https://tatsu-lab.github.io/alpaca_eval/
- task:
type: text-generation
name: Text Generation
dataset:
name: MT-Bench
type: unknown
metrics:
- type: unknown
value: 7.34
name: score
verified: false
source:
url: https://huggingface.co/spaces/lmsys/mt-bench | null | null | null | null | [
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] | null | null | null | 2024-10-16T11:48:13+00:00 | base_model: mistralai/Mistral-7B-v0.1
datasets:
- HuggingFaceH4/ultrachat_200k
- HuggingFaceH4/ultrafeedback_binarized
language:
- en
license: mit
pipeline_tag: text-generation
tags:
- generated_from_trainer
widget:
- example_title: Pirate!
messages:
- role: system
content: You are a pirate chatbot who always responds with Arr!
- role: user
content: There's a llama on my lawn, how can I get rid of him?
output:
text: Arr! 'Tis a puzzlin' matter, me hearty! A llama on yer lawn be a rare sight,
but I've got a plan that might help ye get rid of 'im. Ye'll need to gather
some carrots and hay, and then lure the llama away with the promise of a tasty
treat. Once he's gone, ye can clean up yer lawn and enjoy the peace and quiet
once again. But beware, me hearty, for there may be more llamas where that one
came from! Arr!
model-index:
- name: zephyr-7b-beta
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 62.03071672354948
name: normalized accuracy
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 84.35570603465445
name: normalized accuracy
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Drop (3-Shot)
type: drop
split: validation
args:
num_few_shot: 3
metrics:
- type: f1
value: 9.66243708053691
name: f1 score
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 57.44916942762855
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 12.736921910538287
name: accuracy
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 61.07
name: accuracy
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 77.7426992896606
name: accuracy
verified: false
source:
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-beta
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: AlpacaEval
type: tatsu-lab/alpaca_eval
metrics:
- type: unknown
value: 0.906
name: win rate
verified: false
source:
url: https://tatsu-lab.github.io/alpaca_eval/
- task:
type: text-generation
name: Text Generation
dataset:
name: MT-Bench
type: unknown
metrics:
- type: unknown
value: 7.34
name: score
verified: false
source:
url: https://huggingface.co/spaces/lmsys/mt-bench | null | 653a4cbd66081db6fc588b21 | HuggingFaceH4/zephyr-7b-beta |
BAAI/bge-reranker-v2-m3 | BAAI | 953dc6f6f85a1b2dbfca4c34a2796e7dde08d41e | 2024-06-24T14:08:45+00:00 | 2024-03-15T13:32:18Z | false | False | null | 1,153,910 | null | 579 | sentence-transformers | null | pipeline-library-pair-not-supported | null | [
"sentence-transformers",
"safetensors",
"xlm-roberta",
"text-classification",
"transformers",
"text-embeddings-inference",
"multilingual",
"arxiv:2312.15503",
"arxiv:2402.03216",
"license:apache-2.0",
"region:us"
] | text-classification | null | 10 | language:
- multilingual
license: apache-2.0
pipeline_tag: text-classification
tags:
- transformers
- sentence-transformers
- text-embeddings-inference | null | null | null | null | [
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] | null | null | null | 2024-06-24T14:08:45+00:00 | language:
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license: apache-2.0
pipeline_tag: text-classification
tags:
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- sentence-transformers
- text-embeddings-inference | null | 65f44de295b7d70871c368eb | BAAI/bge-reranker-v2-m3 |
Alibaba-NLP/gte-Qwen2-7B-instruct | Alibaba-NLP | a8d08b36ada9cacfe34c4d6f80957772a025daf2 | 2025-03-24T09:43:55+00:00 | 2024-06-15T11:24:21Z | false | False | null | 122,099 | null | 366 | sentence-transformers | null | null | null | [
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"text-generation-inference",
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"region:us"
] | sentence-similarity | null | 10 | license: apache-2.0
tags:
- mteb
- sentence-transformers
- transformers
- Qwen2
- sentence-similarity
model-index:
- name: gte-qwen2-7B-instruct
results:
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactual
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 91.31343283582089
verified: false
- type: ap
value: 67.64251402604096
verified: false
- type: f1
value: 87.53372530755692
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonPolarityClassification
type: mteb/amazon_polarity
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 97.497825
verified: false
- type: ap
value: 96.30329547047529
verified: false
- type: f1
value: 97.49769793778039
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (en)
type: mteb/amazon_reviews_multi
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 62.564
verified: false
- type: f1
value: 60.975777935041066
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna
type: mteb/arguana
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 36.486000000000004
verified: false
- type: map_at_10
value: 54.842
verified: false
- type: map_at_100
value: 55.206999999999994
verified: false
- type: map_at_1000
value: 55.206999999999994
verified: false
- type: map_at_3
value: 49.893
verified: false
- type: map_at_5
value: 53.105000000000004
verified: false
- type: mrr_at_1
value: 37.34
verified: false
- type: mrr_at_10
value: 55.143
verified: false
- type: mrr_at_100
value: 55.509
verified: false
- type: mrr_at_1000
value: 55.509
verified: false
- type: mrr_at_3
value: 50.212999999999994
verified: false
- type: mrr_at_5
value: 53.432
verified: false
- type: ndcg_at_1
value: 36.486000000000004
verified: false
- type: ndcg_at_10
value: 64.273
verified: false
- type: ndcg_at_100
value: 65.66199999999999
verified: false
- type: ndcg_at_1000
value: 65.66199999999999
verified: false
- type: ndcg_at_3
value: 54.352999999999994
verified: false
- type: ndcg_at_5
value: 60.131
verified: false
- type: precision_at_1
value: 36.486000000000004
verified: false
- type: precision_at_10
value: 9.395000000000001
verified: false
- type: precision_at_100
value: 0.996
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 22.428
verified: false
- type: precision_at_5
value: 16.259
verified: false
- type: recall_at_1
value: 36.486000000000004
verified: false
- type: recall_at_10
value: 93.95400000000001
verified: false
- type: recall_at_100
value: 99.644
verified: false
- type: recall_at_1000
value: 99.644
verified: false
- type: recall_at_3
value: 67.283
verified: false
- type: recall_at_5
value: 81.294
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringP2P
type: mteb/arxiv-clustering-p2p
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 56.461169803700564
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringS2S
type: mteb/arxiv-clustering-s2s
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 51.73600434466286
verified: false
- task:
type: Reranking
dataset:
name: MTEB AskUbuntuDupQuestions
type: mteb/askubuntudupquestions-reranking
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 67.57827065898053
verified: false
- type: mrr
value: 79.08136569493911
verified: false
- task:
type: STS
dataset:
name: MTEB BIOSSES
type: mteb/biosses-sts
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 83.53324575999243
verified: false
- type: cos_sim_spearman
value: 81.37173362822374
verified: false
- type: euclidean_pearson
value: 82.19243335103444
verified: false
- type: euclidean_spearman
value: 81.33679307304334
verified: false
- type: manhattan_pearson
value: 82.38752665975699
verified: false
- type: manhattan_spearman
value: 81.31510583189689
verified: false
- task:
type: Classification
dataset:
name: MTEB Banking77Classification
type: mteb/banking77
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 87.56818181818181
verified: false
- type: f1
value: 87.25826722019875
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringP2P
type: mteb/biorxiv-clustering-p2p
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 50.09239610327673
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringS2S
type: mteb/biorxiv-clustering-s2s
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 46.64733054606282
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackAndroidRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 33.997
verified: false
- type: map_at_10
value: 48.176
verified: false
- type: map_at_100
value: 49.82
verified: false
- type: map_at_1000
value: 49.924
verified: false
- type: map_at_3
value: 43.626
verified: false
- type: map_at_5
value: 46.275
verified: false
- type: mrr_at_1
value: 42.059999999999995
verified: false
- type: mrr_at_10
value: 53.726
verified: false
- type: mrr_at_100
value: 54.398
verified: false
- type: mrr_at_1000
value: 54.416
verified: false
- type: mrr_at_3
value: 50.714999999999996
verified: false
- type: mrr_at_5
value: 52.639
verified: false
- type: ndcg_at_1
value: 42.059999999999995
verified: false
- type: ndcg_at_10
value: 55.574999999999996
verified: false
- type: ndcg_at_100
value: 60.744
verified: false
- type: ndcg_at_1000
value: 61.85699999999999
verified: false
- type: ndcg_at_3
value: 49.363
verified: false
- type: ndcg_at_5
value: 52.44
verified: false
- type: precision_at_1
value: 42.059999999999995
verified: false
- type: precision_at_10
value: 11.101999999999999
verified: false
- type: precision_at_100
value: 1.73
verified: false
- type: precision_at_1000
value: 0.218
verified: false
- type: precision_at_3
value: 24.464
verified: false
- type: precision_at_5
value: 18.026
verified: false
- type: recall_at_1
value: 33.997
verified: false
- type: recall_at_10
value: 70.35900000000001
verified: false
- type: recall_at_100
value: 91.642
verified: false
- type: recall_at_1000
value: 97.977
verified: false
- type: recall_at_3
value: 52.76
verified: false
- type: recall_at_5
value: 61.148
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackEnglishRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 35.884
verified: false
- type: map_at_10
value: 48.14
verified: false
- type: map_at_100
value: 49.5
verified: false
- type: map_at_1000
value: 49.63
verified: false
- type: map_at_3
value: 44.646
verified: false
- type: map_at_5
value: 46.617999999999995
verified: false
- type: mrr_at_1
value: 44.458999999999996
verified: false
- type: mrr_at_10
value: 53.751000000000005
verified: false
- type: mrr_at_100
value: 54.37800000000001
verified: false
- type: mrr_at_1000
value: 54.415
verified: false
- type: mrr_at_3
value: 51.815
verified: false
- type: mrr_at_5
value: 52.882
verified: false
- type: ndcg_at_1
value: 44.458999999999996
verified: false
- type: ndcg_at_10
value: 54.157
verified: false
- type: ndcg_at_100
value: 58.362
verified: false
- type: ndcg_at_1000
value: 60.178
verified: false
- type: ndcg_at_3
value: 49.661
verified: false
- type: ndcg_at_5
value: 51.74999999999999
verified: false
- type: precision_at_1
value: 44.458999999999996
verified: false
- type: precision_at_10
value: 10.248
verified: false
- type: precision_at_100
value: 1.5890000000000002
verified: false
- type: precision_at_1000
value: 0.207
verified: false
- type: precision_at_3
value: 23.928
verified: false
- type: precision_at_5
value: 16.878999999999998
verified: false
- type: recall_at_1
value: 35.884
verified: false
- type: recall_at_10
value: 64.798
verified: false
- type: recall_at_100
value: 82.345
verified: false
- type: recall_at_1000
value: 93.267
verified: false
- type: recall_at_3
value: 51.847
verified: false
- type: recall_at_5
value: 57.601
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGamingRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 39.383
verified: false
- type: map_at_10
value: 53.714
verified: false
- type: map_at_100
value: 54.838
verified: false
- type: map_at_1000
value: 54.87800000000001
verified: false
- type: map_at_3
value: 50.114999999999995
verified: false
- type: map_at_5
value: 52.153000000000006
verified: false
- type: mrr_at_1
value: 45.016
verified: false
- type: mrr_at_10
value: 56.732000000000006
verified: false
- type: mrr_at_100
value: 57.411
verified: false
- type: mrr_at_1000
value: 57.431
verified: false
- type: mrr_at_3
value: 54.044000000000004
verified: false
- type: mrr_at_5
value: 55.639
verified: false
- type: ndcg_at_1
value: 45.016
verified: false
- type: ndcg_at_10
value: 60.228
verified: false
- type: ndcg_at_100
value: 64.277
verified: false
- type: ndcg_at_1000
value: 65.07
verified: false
- type: ndcg_at_3
value: 54.124
verified: false
- type: ndcg_at_5
value: 57.147000000000006
verified: false
- type: precision_at_1
value: 45.016
verified: false
- type: precision_at_10
value: 9.937
verified: false
- type: precision_at_100
value: 1.288
verified: false
- type: precision_at_1000
value: 0.13899999999999998
verified: false
- type: precision_at_3
value: 24.471999999999998
verified: false
- type: precision_at_5
value: 16.991
verified: false
- type: recall_at_1
value: 39.383
verified: false
- type: recall_at_10
value: 76.175
verified: false
- type: recall_at_100
value: 93.02
verified: false
- type: recall_at_1000
value: 98.60900000000001
verified: false
- type: recall_at_3
value: 60.265
verified: false
- type: recall_at_5
value: 67.46600000000001
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGisRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 27.426000000000002
verified: false
- type: map_at_10
value: 37.397000000000006
verified: false
- type: map_at_100
value: 38.61
verified: false
- type: map_at_1000
value: 38.678000000000004
verified: false
- type: map_at_3
value: 34.150999999999996
verified: false
- type: map_at_5
value: 36.137
verified: false
- type: mrr_at_1
value: 29.944
verified: false
- type: mrr_at_10
value: 39.654
verified: false
- type: mrr_at_100
value: 40.638000000000005
verified: false
- type: mrr_at_1000
value: 40.691
verified: false
- type: mrr_at_3
value: 36.817
verified: false
- type: mrr_at_5
value: 38.524
verified: false
- type: ndcg_at_1
value: 29.944
verified: false
- type: ndcg_at_10
value: 43.094
verified: false
- type: ndcg_at_100
value: 48.789
verified: false
- type: ndcg_at_1000
value: 50.339999999999996
verified: false
- type: ndcg_at_3
value: 36.984
verified: false
- type: ndcg_at_5
value: 40.248
verified: false
- type: precision_at_1
value: 29.944
verified: false
- type: precision_at_10
value: 6.78
verified: false
- type: precision_at_100
value: 1.024
verified: false
- type: precision_at_1000
value: 0.11800000000000001
verified: false
- type: precision_at_3
value: 15.895000000000001
verified: false
- type: precision_at_5
value: 11.39
verified: false
- type: recall_at_1
value: 27.426000000000002
verified: false
- type: recall_at_10
value: 58.464000000000006
verified: false
- type: recall_at_100
value: 84.193
verified: false
- type: recall_at_1000
value: 95.52000000000001
verified: false
- type: recall_at_3
value: 42.172
verified: false
- type: recall_at_5
value: 50.101
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackMathematicaRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 19.721
verified: false
- type: map_at_10
value: 31.604
verified: false
- type: map_at_100
value: 32.972
verified: false
- type: map_at_1000
value: 33.077
verified: false
- type: map_at_3
value: 27.218999999999998
verified: false
- type: map_at_5
value: 29.53
verified: false
- type: mrr_at_1
value: 25
verified: false
- type: mrr_at_10
value: 35.843
verified: false
- type: mrr_at_100
value: 36.785000000000004
verified: false
- type: mrr_at_1000
value: 36.842000000000006
verified: false
- type: mrr_at_3
value: 32.193
verified: false
- type: mrr_at_5
value: 34.264
verified: false
- type: ndcg_at_1
value: 25
verified: false
- type: ndcg_at_10
value: 38.606
verified: false
- type: ndcg_at_100
value: 44.272
verified: false
- type: ndcg_at_1000
value: 46.527
verified: false
- type: ndcg_at_3
value: 30.985000000000003
verified: false
- type: ndcg_at_5
value: 34.43
verified: false
- type: precision_at_1
value: 25
verified: false
- type: precision_at_10
value: 7.811
verified: false
- type: precision_at_100
value: 1.203
verified: false
- type: precision_at_1000
value: 0.15
verified: false
- type: precision_at_3
value: 15.423
verified: false
- type: precision_at_5
value: 11.791
verified: false
- type: recall_at_1
value: 19.721
verified: false
- type: recall_at_10
value: 55.625
verified: false
- type: recall_at_100
value: 79.34400000000001
verified: false
- type: recall_at_1000
value: 95.208
verified: false
- type: recall_at_3
value: 35.19
verified: false
- type: recall_at_5
value: 43.626
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackPhysicsRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 33.784
verified: false
- type: map_at_10
value: 47.522
verified: false
- type: map_at_100
value: 48.949999999999996
verified: false
- type: map_at_1000
value: 49.038
verified: false
- type: map_at_3
value: 43.284
verified: false
- type: map_at_5
value: 45.629
verified: false
- type: mrr_at_1
value: 41.482
verified: false
- type: mrr_at_10
value: 52.830999999999996
verified: false
- type: mrr_at_100
value: 53.559999999999995
verified: false
- type: mrr_at_1000
value: 53.588
verified: false
- type: mrr_at_3
value: 50.016000000000005
verified: false
- type: mrr_at_5
value: 51.614000000000004
verified: false
- type: ndcg_at_1
value: 41.482
verified: false
- type: ndcg_at_10
value: 54.569
verified: false
- type: ndcg_at_100
value: 59.675999999999995
verified: false
- type: ndcg_at_1000
value: 60.989000000000004
verified: false
- type: ndcg_at_3
value: 48.187000000000005
verified: false
- type: ndcg_at_5
value: 51.183
verified: false
- type: precision_at_1
value: 41.482
verified: false
- type: precision_at_10
value: 10.221
verified: false
- type: precision_at_100
value: 1.486
verified: false
- type: precision_at_1000
value: 0.17500000000000002
verified: false
- type: precision_at_3
value: 23.548
verified: false
- type: precision_at_5
value: 16.805
verified: false
- type: recall_at_1
value: 33.784
verified: false
- type: recall_at_10
value: 69.798
verified: false
- type: recall_at_100
value: 90.098
verified: false
- type: recall_at_1000
value: 98.176
verified: false
- type: recall_at_3
value: 52.127
verified: false
- type: recall_at_5
value: 59.861
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackProgrammersRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 28.038999999999998
verified: false
- type: map_at_10
value: 41.904
verified: false
- type: map_at_100
value: 43.36
verified: false
- type: map_at_1000
value: 43.453
verified: false
- type: map_at_3
value: 37.785999999999994
verified: false
- type: map_at_5
value: 40.105000000000004
verified: false
- type: mrr_at_1
value: 35.046
verified: false
- type: mrr_at_10
value: 46.926
verified: false
- type: mrr_at_100
value: 47.815000000000005
verified: false
- type: mrr_at_1000
value: 47.849000000000004
verified: false
- type: mrr_at_3
value: 44.273
verified: false
- type: mrr_at_5
value: 45.774
verified: false
- type: ndcg_at_1
value: 35.046
verified: false
- type: ndcg_at_10
value: 48.937000000000005
verified: false
- type: ndcg_at_100
value: 54.544000000000004
verified: false
- type: ndcg_at_1000
value: 56.069
verified: false
- type: ndcg_at_3
value: 42.858000000000004
verified: false
- type: ndcg_at_5
value: 45.644
verified: false
- type: precision_at_1
value: 35.046
verified: false
- type: precision_at_10
value: 9.452
verified: false
- type: precision_at_100
value: 1.429
verified: false
- type: precision_at_1000
value: 0.173
verified: false
- type: precision_at_3
value: 21.346999999999998
verified: false
- type: precision_at_5
value: 15.342
verified: false
- type: recall_at_1
value: 28.038999999999998
verified: false
- type: recall_at_10
value: 64.59700000000001
verified: false
- type: recall_at_100
value: 87.735
verified: false
- type: recall_at_1000
value: 97.41300000000001
verified: false
- type: recall_at_3
value: 47.368
verified: false
- type: recall_at_5
value: 54.93900000000001
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
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value: 28.17291666666667
verified: false
- type: map_at_10
value: 40.025749999999995
verified: false
- type: map_at_100
value: 41.39208333333333
verified: false
- type: map_at_1000
value: 41.499249999999996
verified: false
- type: map_at_3
value: 36.347
verified: false
- type: map_at_5
value: 38.41391666666667
verified: false
- type: mrr_at_1
value: 33.65925
verified: false
- type: mrr_at_10
value: 44.085499999999996
verified: false
- type: mrr_at_100
value: 44.94116666666667
verified: false
- type: mrr_at_1000
value: 44.9855
verified: false
- type: mrr_at_3
value: 41.2815
verified: false
- type: mrr_at_5
value: 42.91491666666666
verified: false
- type: ndcg_at_1
value: 33.65925
verified: false
- type: ndcg_at_10
value: 46.430833333333325
verified: false
- type: ndcg_at_100
value: 51.761
verified: false
- type: ndcg_at_1000
value: 53.50899999999999
verified: false
- type: ndcg_at_3
value: 40.45133333333333
verified: false
- type: ndcg_at_5
value: 43.31483333333334
verified: false
- type: precision_at_1
value: 33.65925
verified: false
- type: precision_at_10
value: 8.4995
verified: false
- type: precision_at_100
value: 1.3210000000000004
verified: false
- type: precision_at_1000
value: 0.16591666666666666
verified: false
- type: precision_at_3
value: 19.165083333333335
verified: false
- type: precision_at_5
value: 13.81816666666667
verified: false
- type: recall_at_1
value: 28.17291666666667
verified: false
- type: recall_at_10
value: 61.12624999999999
verified: false
- type: recall_at_100
value: 83.97266666666667
verified: false
- type: recall_at_1000
value: 95.66550000000001
verified: false
- type: recall_at_3
value: 44.661249999999995
verified: false
- type: recall_at_5
value: 51.983333333333334
verified: false
- type: map_at_1
value: 17.936
verified: false
- type: map_at_10
value: 27.399
verified: false
- type: map_at_100
value: 28.632
verified: false
- type: map_at_1000
value: 28.738000000000003
verified: false
- type: map_at_3
value: 24.456
verified: false
- type: map_at_5
value: 26.06
verified: false
- type: mrr_at_1
value: 19.224
verified: false
- type: mrr_at_10
value: 28.998
verified: false
- type: mrr_at_100
value: 30.11
verified: false
- type: mrr_at_1000
value: 30.177
verified: false
- type: mrr_at_3
value: 26.247999999999998
verified: false
- type: mrr_at_5
value: 27.708
verified: false
- type: ndcg_at_1
value: 19.224
verified: false
- type: ndcg_at_10
value: 32.911
verified: false
- type: ndcg_at_100
value: 38.873999999999995
verified: false
- type: ndcg_at_1000
value: 41.277
verified: false
- type: ndcg_at_3
value: 27.142
verified: false
- type: ndcg_at_5
value: 29.755
verified: false
- type: precision_at_1
value: 19.224
verified: false
- type: precision_at_10
value: 5.6930000000000005
verified: false
- type: precision_at_100
value: 0.9259999999999999
verified: false
- type: precision_at_1000
value: 0.126
verified: false
- type: precision_at_3
value: 12.138
verified: false
- type: precision_at_5
value: 8.909
verified: false
- type: recall_at_1
value: 17.936
verified: false
- type: recall_at_10
value: 48.096
verified: false
- type: recall_at_100
value: 75.389
verified: false
- type: recall_at_1000
value: 92.803
verified: false
- type: recall_at_3
value: 32.812999999999995
verified: false
- type: recall_at_5
value: 38.851
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackStatsRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 24.681
verified: false
- type: map_at_10
value: 34.892
verified: false
- type: map_at_100
value: 35.996
verified: false
- type: map_at_1000
value: 36.083
verified: false
- type: map_at_3
value: 31.491999999999997
verified: false
- type: map_at_5
value: 33.632
verified: false
- type: mrr_at_1
value: 28.528
verified: false
- type: mrr_at_10
value: 37.694
verified: false
- type: mrr_at_100
value: 38.613
verified: false
- type: mrr_at_1000
value: 38.668
verified: false
- type: mrr_at_3
value: 34.714
verified: false
- type: mrr_at_5
value: 36.616
verified: false
- type: ndcg_at_1
value: 28.528
verified: false
- type: ndcg_at_10
value: 40.703
verified: false
- type: ndcg_at_100
value: 45.993
verified: false
- type: ndcg_at_1000
value: 47.847
verified: false
- type: ndcg_at_3
value: 34.622
verified: false
- type: ndcg_at_5
value: 38.035999999999994
verified: false
- type: precision_at_1
value: 28.528
verified: false
- type: precision_at_10
value: 6.902
verified: false
- type: precision_at_100
value: 1.0370000000000001
verified: false
- type: precision_at_1000
value: 0.126
verified: false
- type: precision_at_3
value: 15.798000000000002
verified: false
- type: precision_at_5
value: 11.655999999999999
verified: false
- type: recall_at_1
value: 24.681
verified: false
- type: recall_at_10
value: 55.81
verified: false
- type: recall_at_100
value: 79.785
verified: false
- type: recall_at_1000
value: 92.959
verified: false
- type: recall_at_3
value: 39.074
verified: false
- type: recall_at_5
value: 47.568
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackTexRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 18.627
verified: false
- type: map_at_10
value: 27.872000000000003
verified: false
- type: map_at_100
value: 29.237999999999996
verified: false
- type: map_at_1000
value: 29.363
verified: false
- type: map_at_3
value: 24.751
verified: false
- type: map_at_5
value: 26.521
verified: false
- type: mrr_at_1
value: 23.021
verified: false
- type: mrr_at_10
value: 31.924000000000003
verified: false
- type: mrr_at_100
value: 32.922000000000004
verified: false
- type: mrr_at_1000
value: 32.988
verified: false
- type: mrr_at_3
value: 29.192
verified: false
- type: mrr_at_5
value: 30.798
verified: false
- type: ndcg_at_1
value: 23.021
verified: false
- type: ndcg_at_10
value: 33.535
verified: false
- type: ndcg_at_100
value: 39.732
verified: false
- type: ndcg_at_1000
value: 42.201
verified: false
- type: ndcg_at_3
value: 28.153
verified: false
- type: ndcg_at_5
value: 30.746000000000002
verified: false
- type: precision_at_1
value: 23.021
verified: false
- type: precision_at_10
value: 6.459
verified: false
- type: precision_at_100
value: 1.1320000000000001
verified: false
- type: precision_at_1000
value: 0.153
verified: false
- type: precision_at_3
value: 13.719000000000001
verified: false
- type: precision_at_5
value: 10.193000000000001
verified: false
- type: recall_at_1
value: 18.627
verified: false
- type: recall_at_10
value: 46.463
verified: false
- type: recall_at_100
value: 74.226
verified: false
- type: recall_at_1000
value: 91.28500000000001
verified: false
- type: recall_at_3
value: 31.357000000000003
verified: false
- type: recall_at_5
value: 38.067
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackUnixRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 31.457
verified: false
- type: map_at_10
value: 42.888
verified: false
- type: map_at_100
value: 44.24
verified: false
- type: map_at_1000
value: 44.327
verified: false
- type: map_at_3
value: 39.588
verified: false
- type: map_at_5
value: 41.423
verified: false
- type: mrr_at_1
value: 37.126999999999995
verified: false
- type: mrr_at_10
value: 47.083000000000006
verified: false
- type: mrr_at_100
value: 47.997
verified: false
- type: mrr_at_1000
value: 48.044
verified: false
- type: mrr_at_3
value: 44.574000000000005
verified: false
- type: mrr_at_5
value: 46.202
verified: false
- type: ndcg_at_1
value: 37.126999999999995
verified: false
- type: ndcg_at_10
value: 48.833
verified: false
- type: ndcg_at_100
value: 54.327000000000005
verified: false
- type: ndcg_at_1000
value: 56.011
verified: false
- type: ndcg_at_3
value: 43.541999999999994
verified: false
- type: ndcg_at_5
value: 46.127
verified: false
- type: precision_at_1
value: 37.126999999999995
verified: false
- type: precision_at_10
value: 8.376999999999999
verified: false
- type: precision_at_100
value: 1.2309999999999999
verified: false
- type: precision_at_1000
value: 0.146
verified: false
- type: precision_at_3
value: 20.211000000000002
verified: false
- type: precision_at_5
value: 14.16
verified: false
- type: recall_at_1
value: 31.457
verified: false
- type: recall_at_10
value: 62.369
verified: false
- type: recall_at_100
value: 85.444
verified: false
- type: recall_at_1000
value: 96.65599999999999
verified: false
- type: recall_at_3
value: 47.961
verified: false
- type: recall_at_5
value: 54.676
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackWebmastersRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 27.139999999999997
verified: false
- type: map_at_10
value: 38.801
verified: false
- type: map_at_100
value: 40.549
verified: false
- type: map_at_1000
value: 40.802
verified: false
- type: map_at_3
value: 35.05
verified: false
- type: map_at_5
value: 36.884
verified: false
- type: mrr_at_1
value: 33.004
verified: false
- type: mrr_at_10
value: 43.864
verified: false
- type: mrr_at_100
value: 44.667
verified: false
- type: mrr_at_1000
value: 44.717
verified: false
- type: mrr_at_3
value: 40.777
verified: false
- type: mrr_at_5
value: 42.319
verified: false
- type: ndcg_at_1
value: 33.004
verified: false
- type: ndcg_at_10
value: 46.022
verified: false
- type: ndcg_at_100
value: 51.542
verified: false
- type: ndcg_at_1000
value: 53.742000000000004
verified: false
- type: ndcg_at_3
value: 39.795
verified: false
- type: ndcg_at_5
value: 42.272
verified: false
- type: precision_at_1
value: 33.004
verified: false
- type: precision_at_10
value: 9.012
verified: false
- type: precision_at_100
value: 1.7770000000000001
verified: false
- type: precision_at_1000
value: 0.26
verified: false
- type: precision_at_3
value: 19.038
verified: false
- type: precision_at_5
value: 13.675999999999998
verified: false
- type: recall_at_1
value: 27.139999999999997
verified: false
- type: recall_at_10
value: 60.961
verified: false
- type: recall_at_100
value: 84.451
verified: false
- type: recall_at_1000
value: 98.113
verified: false
- type: recall_at_3
value: 43.001
verified: false
- type: recall_at_5
value: 49.896
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ClimateFEVER
type: mteb/climate-fever
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 22.076999999999998
verified: false
- type: map_at_10
value: 35.44
verified: false
- type: map_at_100
value: 37.651
verified: false
- type: map_at_1000
value: 37.824999999999996
verified: false
- type: map_at_3
value: 30.764999999999997
verified: false
- type: map_at_5
value: 33.26
verified: false
- type: mrr_at_1
value: 50.163000000000004
verified: false
- type: mrr_at_10
value: 61.207
verified: false
- type: mrr_at_100
value: 61.675000000000004
verified: false
- type: mrr_at_1000
value: 61.692
verified: false
- type: mrr_at_3
value: 58.60999999999999
verified: false
- type: mrr_at_5
value: 60.307
verified: false
- type: ndcg_at_1
value: 50.163000000000004
verified: false
- type: ndcg_at_10
value: 45.882
verified: false
- type: ndcg_at_100
value: 53.239999999999995
verified: false
- type: ndcg_at_1000
value: 55.852000000000004
verified: false
- type: ndcg_at_3
value: 40.514
verified: false
- type: ndcg_at_5
value: 42.038
verified: false
- type: precision_at_1
value: 50.163000000000004
verified: false
- type: precision_at_10
value: 13.466000000000001
verified: false
- type: precision_at_100
value: 2.164
verified: false
- type: precision_at_1000
value: 0.266
verified: false
- type: precision_at_3
value: 29.707
verified: false
- type: precision_at_5
value: 21.694
verified: false
- type: recall_at_1
value: 22.076999999999998
verified: false
- type: recall_at_10
value: 50.193
verified: false
- type: recall_at_100
value: 74.993
verified: false
- type: recall_at_1000
value: 89.131
verified: false
- type: recall_at_3
value: 35.472
verified: false
- type: recall_at_5
value: 41.814
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia
type: mteb/dbpedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 9.953
verified: false
- type: map_at_10
value: 24.515
verified: false
- type: map_at_100
value: 36.173
verified: false
- type: map_at_1000
value: 38.351
verified: false
- type: map_at_3
value: 16.592000000000002
verified: false
- type: map_at_5
value: 20.036
verified: false
- type: mrr_at_1
value: 74.25
verified: false
- type: mrr_at_10
value: 81.813
verified: false
- type: mrr_at_100
value: 82.006
verified: false
- type: mrr_at_1000
value: 82.011
verified: false
- type: mrr_at_3
value: 80.875
verified: false
- type: mrr_at_5
value: 81.362
verified: false
- type: ndcg_at_1
value: 62.5
verified: false
- type: ndcg_at_10
value: 52.42
verified: false
- type: ndcg_at_100
value: 56.808
verified: false
- type: ndcg_at_1000
value: 63.532999999999994
verified: false
- type: ndcg_at_3
value: 56.654
verified: false
- type: ndcg_at_5
value: 54.18300000000001
verified: false
- type: precision_at_1
value: 74.25
verified: false
- type: precision_at_10
value: 42.699999999999996
verified: false
- type: precision_at_100
value: 13.675
verified: false
- type: precision_at_1000
value: 2.664
verified: false
- type: precision_at_3
value: 60.5
verified: false
- type: precision_at_5
value: 52.800000000000004
verified: false
- type: recall_at_1
value: 9.953
verified: false
- type: recall_at_10
value: 30.253999999999998
verified: false
- type: recall_at_100
value: 62.516000000000005
verified: false
- type: recall_at_1000
value: 84.163
verified: false
- type: recall_at_3
value: 18.13
verified: false
- type: recall_at_5
value: 22.771
verified: false
- task:
type: Classification
dataset:
name: MTEB EmotionClassification
type: mteb/emotion
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 79.455
verified: false
- type: f1
value: 74.16798697647569
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FEVER
type: mteb/fever
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 87.531
verified: false
- type: map_at_10
value: 93.16799999999999
verified: false
- type: map_at_100
value: 93.341
verified: false
- type: map_at_1000
value: 93.349
verified: false
- type: map_at_3
value: 92.444
verified: false
- type: map_at_5
value: 92.865
verified: false
- type: mrr_at_1
value: 94.014
verified: false
- type: mrr_at_10
value: 96.761
verified: false
- type: mrr_at_100
value: 96.762
verified: false
- type: mrr_at_1000
value: 96.762
verified: false
- type: mrr_at_3
value: 96.672
verified: false
- type: mrr_at_5
value: 96.736
verified: false
- type: ndcg_at_1
value: 94.014
verified: false
- type: ndcg_at_10
value: 95.112
verified: false
- type: ndcg_at_100
value: 95.578
verified: false
- type: ndcg_at_1000
value: 95.68900000000001
verified: false
- type: ndcg_at_3
value: 94.392
verified: false
- type: ndcg_at_5
value: 94.72500000000001
verified: false
- type: precision_at_1
value: 94.014
verified: false
- type: precision_at_10
value: 11.065
verified: false
- type: precision_at_100
value: 1.157
verified: false
- type: precision_at_1000
value: 0.11800000000000001
verified: false
- type: precision_at_3
value: 35.259
verified: false
- type: precision_at_5
value: 21.599
verified: false
- type: recall_at_1
value: 87.531
verified: false
- type: recall_at_10
value: 97.356
verified: false
- type: recall_at_100
value: 98.965
verified: false
- type: recall_at_1000
value: 99.607
verified: false
- type: recall_at_3
value: 95.312
verified: false
- type: recall_at_5
value: 96.295
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA2018
type: mteb/fiqa
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 32.055
verified: false
- type: map_at_10
value: 53.114
verified: false
- type: map_at_100
value: 55.235
verified: false
- type: map_at_1000
value: 55.345
verified: false
- type: map_at_3
value: 45.854
verified: false
- type: map_at_5
value: 50.025
verified: false
- type: mrr_at_1
value: 60.34
verified: false
- type: mrr_at_10
value: 68.804
verified: false
- type: mrr_at_100
value: 69.309
verified: false
- type: mrr_at_1000
value: 69.32199999999999
verified: false
- type: mrr_at_3
value: 66.40899999999999
verified: false
- type: mrr_at_5
value: 67.976
verified: false
- type: ndcg_at_1
value: 60.34
verified: false
- type: ndcg_at_10
value: 62.031000000000006
verified: false
- type: ndcg_at_100
value: 68.00500000000001
verified: false
- type: ndcg_at_1000
value: 69.286
verified: false
- type: ndcg_at_3
value: 56.355999999999995
verified: false
- type: ndcg_at_5
value: 58.687
verified: false
- type: precision_at_1
value: 60.34
verified: false
- type: precision_at_10
value: 17.176
verified: false
- type: precision_at_100
value: 2.36
verified: false
- type: precision_at_1000
value: 0.259
verified: false
- type: precision_at_3
value: 37.14
verified: false
- type: precision_at_5
value: 27.809
verified: false
- type: recall_at_1
value: 32.055
verified: false
- type: recall_at_10
value: 70.91
verified: false
- type: recall_at_100
value: 91.83
verified: false
- type: recall_at_1000
value: 98.871
verified: false
- type: recall_at_3
value: 51.202999999999996
verified: false
- type: recall_at_5
value: 60.563
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA
type: mteb/hotpotqa
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 43.68
verified: false
- type: map_at_10
value: 64.389
verified: false
- type: map_at_100
value: 65.24
verified: false
- type: map_at_1000
value: 65.303
verified: false
- type: map_at_3
value: 61.309000000000005
verified: false
- type: map_at_5
value: 63.275999999999996
verified: false
- type: mrr_at_1
value: 87.36
verified: false
- type: mrr_at_10
value: 91.12
verified: false
- type: mrr_at_100
value: 91.227
verified: false
- type: mrr_at_1000
value: 91.229
verified: false
- type: mrr_at_3
value: 90.57600000000001
verified: false
- type: mrr_at_5
value: 90.912
verified: false
- type: ndcg_at_1
value: 87.36
verified: false
- type: ndcg_at_10
value: 73.076
verified: false
- type: ndcg_at_100
value: 75.895
verified: false
- type: ndcg_at_1000
value: 77.049
verified: false
- type: ndcg_at_3
value: 68.929
verified: false
- type: ndcg_at_5
value: 71.28
verified: false
- type: precision_at_1
value: 87.36
verified: false
- type: precision_at_10
value: 14.741000000000001
verified: false
- type: precision_at_100
value: 1.694
verified: false
- type: precision_at_1000
value: 0.185
verified: false
- type: precision_at_3
value: 43.043
verified: false
- type: precision_at_5
value: 27.681
verified: false
- type: recall_at_1
value: 43.68
verified: false
- type: recall_at_10
value: 73.707
verified: false
- type: recall_at_100
value: 84.7
verified: false
- type: recall_at_1000
value: 92.309
verified: false
- type: recall_at_3
value: 64.564
verified: false
- type: recall_at_5
value: 69.203
verified: false
- task:
type: Classification
dataset:
name: MTEB ImdbClassification
type: mteb/imdb
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 96.75399999999999
verified: false
- type: ap
value: 95.29389839242187
verified: false
- type: f1
value: 96.75348377433475
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MSMARCO
type: mteb/msmarco
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 25.176
verified: false
- type: map_at_10
value: 38.598
verified: false
- type: map_at_100
value: 39.707
verified: false
- type: map_at_1000
value: 39.744
verified: false
- type: map_at_3
value: 34.566
verified: false
- type: map_at_5
value: 36.863
verified: false
- type: mrr_at_1
value: 25.874000000000002
verified: false
- type: mrr_at_10
value: 39.214
verified: false
- type: mrr_at_100
value: 40.251
verified: false
- type: mrr_at_1000
value: 40.281
verified: false
- type: mrr_at_3
value: 35.291
verified: false
- type: mrr_at_5
value: 37.545
verified: false
- type: ndcg_at_1
value: 25.874000000000002
verified: false
- type: ndcg_at_10
value: 45.98
verified: false
- type: ndcg_at_100
value: 51.197
verified: false
- type: ndcg_at_1000
value: 52.073
verified: false
- type: ndcg_at_3
value: 37.785999999999994
verified: false
- type: ndcg_at_5
value: 41.870000000000005
verified: false
- type: precision_at_1
value: 25.874000000000002
verified: false
- type: precision_at_10
value: 7.181
verified: false
- type: precision_at_100
value: 0.979
verified: false
- type: precision_at_1000
value: 0.106
verified: false
- type: precision_at_3
value: 16.051000000000002
verified: false
- type: precision_at_5
value: 11.713
verified: false
- type: recall_at_1
value: 25.176
verified: false
- type: recall_at_10
value: 68.67699999999999
verified: false
- type: recall_at_100
value: 92.55
verified: false
- type: recall_at_1000
value: 99.164
verified: false
- type: recall_at_3
value: 46.372
verified: false
- type: recall_at_5
value: 56.16
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (en)
type: mteb/mtop_domain
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 99.03784769721841
verified: false
- type: f1
value: 98.97791641821495
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (en)
type: mteb/mtop_intent
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 91.88326493388054
verified: false
- type: f1
value: 73.74809928034335
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification (en)
type: mteb/amazon_massive_intent
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 85.41358439811701
verified: false
- type: f1
value: 83.503679460639
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (en)
type: mteb/amazon_massive_scenario
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 89.77135171486215
verified: false
- type: f1
value: 88.89843747468366
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringP2P
type: mteb/medrxiv-clustering-p2p
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 46.22695362087359
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringS2S
type: mteb/medrxiv-clustering-s2s
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 44.132372165849425
verified: false
- task:
type: Reranking
dataset:
name: MTEB MindSmallReranking
type: mteb/mind_small
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 33.35680810650402
verified: false
- type: mrr
value: 34.72625715637218
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NFCorpus
type: mteb/nfcorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 7.165000000000001
verified: false
- type: map_at_10
value: 15.424
verified: false
- type: map_at_100
value: 20.28
verified: false
- type: map_at_1000
value: 22.065
verified: false
- type: map_at_3
value: 11.236
verified: false
- type: map_at_5
value: 13.025999999999998
verified: false
- type: mrr_at_1
value: 51.702999999999996
verified: false
- type: mrr_at_10
value: 59.965
verified: false
- type: mrr_at_100
value: 60.667
verified: false
- type: mrr_at_1000
value: 60.702999999999996
verified: false
- type: mrr_at_3
value: 58.772000000000006
verified: false
- type: mrr_at_5
value: 59.267
verified: false
- type: ndcg_at_1
value: 49.536
verified: false
- type: ndcg_at_10
value: 40.6
verified: false
- type: ndcg_at_100
value: 37.848
verified: false
- type: ndcg_at_1000
value: 46.657
verified: false
- type: ndcg_at_3
value: 46.117999999999995
verified: false
- type: ndcg_at_5
value: 43.619
verified: false
- type: precision_at_1
value: 51.393
verified: false
- type: precision_at_10
value: 30.31
verified: false
- type: precision_at_100
value: 9.972
verified: false
- type: precision_at_1000
value: 2.329
verified: false
- type: precision_at_3
value: 43.137
verified: false
- type: precision_at_5
value: 37.585
verified: false
- type: recall_at_1
value: 7.165000000000001
verified: false
- type: recall_at_10
value: 19.689999999999998
verified: false
- type: recall_at_100
value: 39.237
verified: false
- type: recall_at_1000
value: 71.417
verified: false
- type: recall_at_3
value: 12.247
verified: false
- type: recall_at_5
value: 14.902999999999999
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NQ
type: mteb/nq
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 42.653999999999996
verified: false
- type: map_at_10
value: 59.611999999999995
verified: false
- type: map_at_100
value: 60.32300000000001
verified: false
- type: map_at_1000
value: 60.336
verified: false
- type: map_at_3
value: 55.584999999999994
verified: false
- type: map_at_5
value: 58.19
verified: false
- type: mrr_at_1
value: 47.683
verified: false
- type: mrr_at_10
value: 62.06700000000001
verified: false
- type: mrr_at_100
value: 62.537
verified: false
- type: mrr_at_1000
value: 62.544999999999995
verified: false
- type: mrr_at_3
value: 59.178
verified: false
- type: mrr_at_5
value: 61.034
verified: false
- type: ndcg_at_1
value: 47.654
verified: false
- type: ndcg_at_10
value: 67.001
verified: false
- type: ndcg_at_100
value: 69.73899999999999
verified: false
- type: ndcg_at_1000
value: 69.986
verified: false
- type: ndcg_at_3
value: 59.95700000000001
verified: false
- type: ndcg_at_5
value: 64.025
verified: false
- type: precision_at_1
value: 47.654
verified: false
- type: precision_at_10
value: 10.367999999999999
verified: false
- type: precision_at_100
value: 1.192
verified: false
- type: precision_at_1000
value: 0.121
verified: false
- type: precision_at_3
value: 26.651000000000003
verified: false
- type: precision_at_5
value: 18.459
verified: false
- type: recall_at_1
value: 42.653999999999996
verified: false
- type: recall_at_10
value: 86.619
verified: false
- type: recall_at_100
value: 98.04899999999999
verified: false
- type: recall_at_1000
value: 99.812
verified: false
- type: recall_at_3
value: 68.987
verified: false
- type: recall_at_5
value: 78.158
verified: false
- task:
type: Retrieval
dataset:
name: MTEB QuoraRetrieval
type: mteb/quora
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 72.538
verified: false
- type: map_at_10
value: 86.702
verified: false
- type: map_at_100
value: 87.31
verified: false
- type: map_at_1000
value: 87.323
verified: false
- type: map_at_3
value: 83.87
verified: false
- type: map_at_5
value: 85.682
verified: false
- type: mrr_at_1
value: 83.31
verified: false
- type: mrr_at_10
value: 89.225
verified: false
- type: mrr_at_100
value: 89.30399999999999
verified: false
- type: mrr_at_1000
value: 89.30399999999999
verified: false
- type: mrr_at_3
value: 88.44300000000001
verified: false
- type: mrr_at_5
value: 89.005
verified: false
- type: ndcg_at_1
value: 83.32000000000001
verified: false
- type: ndcg_at_10
value: 90.095
verified: false
- type: ndcg_at_100
value: 91.12
verified: false
- type: ndcg_at_1000
value: 91.179
verified: false
- type: ndcg_at_3
value: 87.606
verified: false
- type: ndcg_at_5
value: 89.031
verified: false
- type: precision_at_1
value: 83.32000000000001
verified: false
- type: precision_at_10
value: 13.641
verified: false
- type: precision_at_100
value: 1.541
verified: false
- type: precision_at_1000
value: 0.157
verified: false
- type: precision_at_3
value: 38.377
verified: false
- type: precision_at_5
value: 25.162000000000003
verified: false
- type: recall_at_1
value: 72.538
verified: false
- type: recall_at_10
value: 96.47200000000001
verified: false
- type: recall_at_100
value: 99.785
verified: false
- type: recall_at_1000
value: 99.99900000000001
verified: false
- type: recall_at_3
value: 89.278
verified: false
- type: recall_at_5
value: 93.367
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClustering
type: mteb/reddit-clustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 73.55219145406065
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClusteringP2P
type: mteb/reddit-clustering-p2p
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 74.13437105242755
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS
type: mteb/scidocs
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 6.873
verified: false
- type: map_at_10
value: 17.944
verified: false
- type: map_at_100
value: 21.171
verified: false
- type: map_at_1000
value: 21.528
verified: false
- type: map_at_3
value: 12.415
verified: false
- type: map_at_5
value: 15.187999999999999
verified: false
- type: mrr_at_1
value: 33.800000000000004
verified: false
- type: mrr_at_10
value: 46.455
verified: false
- type: mrr_at_100
value: 47.378
verified: false
- type: mrr_at_1000
value: 47.394999999999996
verified: false
- type: mrr_at_3
value: 42.367
verified: false
- type: mrr_at_5
value: 44.972
verified: false
- type: ndcg_at_1
value: 33.800000000000004
verified: false
- type: ndcg_at_10
value: 28.907
verified: false
- type: ndcg_at_100
value: 39.695
verified: false
- type: ndcg_at_1000
value: 44.582
verified: false
- type: ndcg_at_3
value: 26.949
verified: false
- type: ndcg_at_5
value: 23.988
verified: false
- type: precision_at_1
value: 33.800000000000004
verified: false
- type: precision_at_10
value: 15.079999999999998
verified: false
- type: precision_at_100
value: 3.056
verified: false
- type: precision_at_1000
value: 0.42100000000000004
verified: false
- type: precision_at_3
value: 25.167
verified: false
- type: precision_at_5
value: 21.26
verified: false
- type: recall_at_1
value: 6.873
verified: false
- type: recall_at_10
value: 30.568
verified: false
- type: recall_at_100
value: 62.062
verified: false
- type: recall_at_1000
value: 85.37700000000001
verified: false
- type: recall_at_3
value: 15.312999999999999
verified: false
- type: recall_at_5
value: 21.575
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R
type: mteb/sickr-sts
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 82.37009118256057
verified: false
- type: cos_sim_spearman
value: 79.27986395671529
verified: false
- type: euclidean_pearson
value: 79.18037715442115
verified: false
- type: euclidean_spearman
value: 79.28004791561621
verified: false
- type: manhattan_pearson
value: 79.34062972800541
verified: false
- type: manhattan_spearman
value: 79.43106695543402
verified: false
- task:
type: STS
dataset:
name: MTEB STS12
type: mteb/sts12-sts
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 87.48474767383833
verified: false
- type: cos_sim_spearman
value: 79.54505388752513
verified: false
- type: euclidean_pearson
value: 83.43282704179565
verified: false
- type: euclidean_spearman
value: 79.54579919925405
verified: false
- type: manhattan_pearson
value: 83.77564492427952
verified: false
- type: manhattan_spearman
value: 79.84558396989286
verified: false
- task:
type: STS
dataset:
name: MTEB STS13
type: mteb/sts13-sts
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 88.803698035802
verified: false
- type: cos_sim_spearman
value: 88.83451367754881
verified: false
- type: euclidean_pearson
value: 88.28939285711628
verified: false
- type: euclidean_spearman
value: 88.83528996073112
verified: false
- type: manhattan_pearson
value: 88.28017412671795
verified: false
- type: manhattan_spearman
value: 88.9228828016344
verified: false
- task:
type: STS
dataset:
name: MTEB STS14
type: mteb/sts14-sts
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 85.27469288153428
verified: false
- type: cos_sim_spearman
value: 83.87477064876288
verified: false
- type: euclidean_pearson
value: 84.2601737035379
verified: false
- type: euclidean_spearman
value: 83.87431082479074
verified: false
- type: manhattan_pearson
value: 84.3621547772745
verified: false
- type: manhattan_spearman
value: 84.12094375000423
verified: false
- task:
type: STS
dataset:
name: MTEB STS15
type: mteb/sts15-sts
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 88.12749863201587
verified: false
- type: cos_sim_spearman
value: 88.54287568368565
verified: false
- type: euclidean_pearson
value: 87.90429700607999
verified: false
- type: euclidean_spearman
value: 88.5437689576261
verified: false
- type: manhattan_pearson
value: 88.19276653356833
verified: false
- type: manhattan_spearman
value: 88.99995393814679
verified: false
- task:
type: STS
dataset:
name: MTEB STS16
type: mteb/sts16-sts
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 85.68398747560902
verified: false
- type: cos_sim_spearman
value: 86.48815303460574
verified: false
- type: euclidean_pearson
value: 85.52356631237954
verified: false
- type: euclidean_spearman
value: 86.486391949551
verified: false
- type: manhattan_pearson
value: 85.67267981761788
verified: false
- type: manhattan_spearman
value: 86.7073696332485
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-en)
type: mteb/sts17-crosslingual-sts
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 88.9057107443124
verified: false
- type: cos_sim_spearman
value: 88.7312168757697
verified: false
- type: euclidean_pearson
value: 88.72810439714794
verified: false
- type: euclidean_spearman
value: 88.71976185854771
verified: false
- type: manhattan_pearson
value: 88.50433745949111
verified: false
- type: manhattan_spearman
value: 88.51726175544195
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (en)
type: mteb/sts22-crosslingual-sts
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 67.59391795109886
verified: false
- type: cos_sim_spearman
value: 66.87613008631367
verified: false
- type: euclidean_pearson
value: 69.23198488262217
verified: false
- type: euclidean_spearman
value: 66.85427723013692
verified: false
- type: manhattan_pearson
value: 69.50730124841084
verified: false
- type: manhattan_spearman
value: 67.10404669820792
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmark
type: mteb/stsbenchmark-sts
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 87.0820605344619
verified: false
- type: cos_sim_spearman
value: 86.8518089863434
verified: false
- type: euclidean_pearson
value: 86.31087134689284
verified: false
- type: euclidean_spearman
value: 86.8518520517941
verified: false
- type: manhattan_pearson
value: 86.47203796160612
verified: false
- type: manhattan_spearman
value: 87.1080149734421
verified: false
- task:
type: Reranking
dataset:
name: MTEB SciDocsRR
type: mteb/scidocs-reranking
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 89.09255369305481
verified: false
- type: mrr
value: 97.10323445617563
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact
type: mteb/scifact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 61.260999999999996
verified: false
- type: map_at_10
value: 74.043
verified: false
- type: map_at_100
value: 74.37700000000001
verified: false
- type: map_at_1000
value: 74.384
verified: false
- type: map_at_3
value: 71.222
verified: false
- type: map_at_5
value: 72.875
verified: false
- type: mrr_at_1
value: 64.333
verified: false
- type: mrr_at_10
value: 74.984
verified: false
- type: mrr_at_100
value: 75.247
verified: false
- type: mrr_at_1000
value: 75.25500000000001
verified: false
- type: mrr_at_3
value: 73.167
verified: false
- type: mrr_at_5
value: 74.35000000000001
verified: false
- type: ndcg_at_1
value: 64.333
verified: false
- type: ndcg_at_10
value: 79.06
verified: false
- type: ndcg_at_100
value: 80.416
verified: false
- type: ndcg_at_1000
value: 80.55600000000001
verified: false
- type: ndcg_at_3
value: 74.753
verified: false
- type: ndcg_at_5
value: 76.97500000000001
verified: false
- type: precision_at_1
value: 64.333
verified: false
- type: precision_at_10
value: 10.567
verified: false
- type: precision_at_100
value: 1.1199999999999999
verified: false
- type: precision_at_1000
value: 0.11299999999999999
verified: false
- type: precision_at_3
value: 29.889
verified: false
- type: precision_at_5
value: 19.533
verified: false
- type: recall_at_1
value: 61.260999999999996
verified: false
- type: recall_at_10
value: 93.167
verified: false
- type: recall_at_100
value: 99
verified: false
- type: recall_at_1000
value: 100
verified: false
- type: recall_at_3
value: 81.667
verified: false
- type: recall_at_5
value: 87.394
verified: false
- task:
type: PairClassification
dataset:
name: MTEB SprintDuplicateQuestions
type: mteb/sprintduplicatequestions-pairclassification
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.71980198019801
verified: false
- type: cos_sim_ap
value: 92.81616007802704
verified: false
- type: cos_sim_f1
value: 85.17548454688318
verified: false
- type: cos_sim_precision
value: 89.43894389438944
verified: false
- type: cos_sim_recall
value: 81.3
verified: false
- type: dot_accuracy
value: 99.71980198019801
verified: false
- type: dot_ap
value: 92.81398760591358
verified: false
- type: dot_f1
value: 85.17548454688318
verified: false
- type: dot_precision
value: 89.43894389438944
verified: false
- type: dot_recall
value: 81.3
verified: false
- type: euclidean_accuracy
value: 99.71980198019801
verified: false
- type: euclidean_ap
value: 92.81560637245072
verified: false
- type: euclidean_f1
value: 85.17548454688318
verified: false
- type: euclidean_precision
value: 89.43894389438944
verified: false
- type: euclidean_recall
value: 81.3
verified: false
- type: manhattan_accuracy
value: 99.73069306930694
verified: false
- type: manhattan_ap
value: 93.14005487480794
verified: false
- type: manhattan_f1
value: 85.56263269639068
verified: false
- type: manhattan_precision
value: 91.17647058823529
verified: false
- type: manhattan_recall
value: 80.60000000000001
verified: false
- type: max_accuracy
value: 99.73069306930694
verified: false
- type: max_ap
value: 93.14005487480794
verified: false
- type: max_f1
value: 85.56263269639068
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClustering
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 79.86443362395185
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClusteringP2P
type: mteb/stackexchange-clustering-p2p
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 49.40897096662564
verified: false
- task:
type: Reranking
dataset:
name: MTEB StackOverflowDupQuestions
type: mteb/stackoverflowdupquestions-reranking
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 55.66040806627947
verified: false
- type: mrr
value: 56.58670475766064
verified: false
- task:
type: Summarization
dataset:
name: MTEB SummEval
type: mteb/summeval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 31.51015090598575
verified: false
- type: cos_sim_spearman
value: 31.35016454939226
verified: false
- type: dot_pearson
value: 31.5150068731
verified: false
- type: dot_spearman
value: 31.34790869023487
verified: false
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID
type: mteb/trec-covid
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.254
verified: false
- type: map_at_10
value: 2.064
verified: false
- type: map_at_100
value: 12.909
verified: false
- type: map_at_1000
value: 31.761
verified: false
- type: map_at_3
value: 0.738
verified: false
- type: map_at_5
value: 1.155
verified: false
- type: mrr_at_1
value: 96
verified: false
- type: mrr_at_10
value: 98
verified: false
- type: mrr_at_100
value: 98
verified: false
- type: mrr_at_1000
value: 98
verified: false
- type: mrr_at_3
value: 98
verified: false
- type: mrr_at_5
value: 98
verified: false
- type: ndcg_at_1
value: 93
verified: false
- type: ndcg_at_10
value: 82.258
verified: false
- type: ndcg_at_100
value: 64.34
verified: false
- type: ndcg_at_1000
value: 57.912
verified: false
- type: ndcg_at_3
value: 90.827
verified: false
- type: ndcg_at_5
value: 86.79
verified: false
- type: precision_at_1
value: 96
verified: false
- type: precision_at_10
value: 84.8
verified: false
- type: precision_at_100
value: 66
verified: false
- type: precision_at_1000
value: 25.356
verified: false
- type: precision_at_3
value: 94.667
verified: false
- type: precision_at_5
value: 90.4
verified: false
- type: recall_at_1
value: 0.254
verified: false
- type: recall_at_10
value: 2.1950000000000003
verified: false
- type: recall_at_100
value: 16.088
verified: false
- type: recall_at_1000
value: 54.559000000000005
verified: false
- type: recall_at_3
value: 0.75
verified: false
- type: recall_at_5
value: 1.191
verified: false
- task:
type: Retrieval
dataset:
name: MTEB Touche2020
type: mteb/touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.976
verified: false
- type: map_at_10
value: 11.389000000000001
verified: false
- type: map_at_100
value: 18.429000000000002
verified: false
- type: map_at_1000
value: 20.113
verified: false
- type: map_at_3
value: 6.483
verified: false
- type: map_at_5
value: 8.770999999999999
verified: false
- type: mrr_at_1
value: 40.816
verified: false
- type: mrr_at_10
value: 58.118
verified: false
- type: mrr_at_100
value: 58.489999999999995
verified: false
- type: mrr_at_1000
value: 58.489999999999995
verified: false
- type: mrr_at_3
value: 53.061
verified: false
- type: mrr_at_5
value: 57.041
verified: false
- type: ndcg_at_1
value: 40.816
verified: false
- type: ndcg_at_10
value: 30.567
verified: false
- type: ndcg_at_100
value: 42.44
verified: false
- type: ndcg_at_1000
value: 53.480000000000004
verified: false
- type: ndcg_at_3
value: 36.016
verified: false
- type: ndcg_at_5
value: 34.257
verified: false
- type: precision_at_1
value: 42.857
verified: false
- type: precision_at_10
value: 25.714
verified: false
- type: precision_at_100
value: 8.429
verified: false
- type: precision_at_1000
value: 1.5939999999999999
verified: false
- type: precision_at_3
value: 36.735
verified: false
- type: precision_at_5
value: 33.878
verified: false
- type: recall_at_1
value: 2.976
verified: false
- type: recall_at_10
value: 17.854999999999997
verified: false
- type: recall_at_100
value: 51.833
verified: false
- type: recall_at_1000
value: 86.223
verified: false
- type: recall_at_3
value: 7.887
verified: false
- type: recall_at_5
value: 12.026
verified: false
- task:
type: Classification
dataset:
name: MTEB ToxicConversationsClassification
type: mteb/toxic_conversations_50k
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 85.1174
verified: false
- type: ap
value: 30.169441069345748
verified: false
- type: f1
value: 69.79254701873245
verified: false
- task:
type: Classification
dataset:
name: MTEB TweetSentimentExtractionClassification
type: mteb/tweet_sentiment_extraction
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 72.58347481607245
verified: false
- type: f1
value: 72.74877295564937
verified: false
- task:
type: Clustering
dataset:
name: MTEB TwentyNewsgroupsClustering
type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 53.90586138221305
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterSemEval2015
type: mteb/twittersemeval2015-pairclassification
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 87.35769207844072
verified: false
- type: cos_sim_ap
value: 77.9645072410354
verified: false
- type: cos_sim_f1
value: 71.32352941176471
verified: false
- type: cos_sim_precision
value: 66.5903890160183
verified: false
- type: cos_sim_recall
value: 76.78100263852242
verified: false
- type: dot_accuracy
value: 87.37557370209214
verified: false
- type: dot_ap
value: 77.96250046429908
verified: false
- type: dot_f1
value: 71.28932757557064
verified: false
- type: dot_precision
value: 66.95249130938586
verified: false
- type: dot_recall
value: 76.22691292875989
verified: false
- type: euclidean_accuracy
value: 87.35173153722357
verified: false
- type: euclidean_ap
value: 77.96520460741593
verified: false
- type: euclidean_f1
value: 71.32470733210104
verified: false
- type: euclidean_precision
value: 66.91329479768785
verified: false
- type: euclidean_recall
value: 76.35883905013192
verified: false
- type: manhattan_accuracy
value: 87.25636287774931
verified: false
- type: manhattan_ap
value: 77.77752485611796
verified: false
- type: manhattan_f1
value: 71.18148599269183
verified: false
- type: manhattan_precision
value: 66.10859728506787
verified: false
- type: manhattan_recall
value: 77.0976253298153
verified: false
- type: max_accuracy
value: 87.37557370209214
verified: false
- type: max_ap
value: 77.96520460741593
verified: false
- type: max_f1
value: 71.32470733210104
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterURLCorpus
type: mteb/twitterurlcorpus-pairclassification
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 89.38176737687739
verified: false
- type: cos_sim_ap
value: 86.58811861657401
verified: false
- type: cos_sim_f1
value: 79.09430644097604
verified: false
- type: cos_sim_precision
value: 75.45085977911366
verified: false
- type: cos_sim_recall
value: 83.10748383122882
verified: false
- type: dot_accuracy
value: 89.38370784336554
verified: false
- type: dot_ap
value: 86.58840606004333
verified: false
- type: dot_f1
value: 79.10179860068133
verified: false
- type: dot_precision
value: 75.44546153308643
verified: false
- type: dot_recall
value: 83.13058207576223
verified: false
- type: euclidean_accuracy
value: 89.38564830985369
verified: false
- type: euclidean_ap
value: 86.58820721061164
verified: false
- type: euclidean_f1
value: 79.09070942235888
verified: false
- type: euclidean_precision
value: 75.38729937194697
verified: false
- type: euclidean_recall
value: 83.17677856482906
verified: false
- type: manhattan_accuracy
value: 89.40699344122326
verified: false
- type: manhattan_ap
value: 86.60631843011362
verified: false
- type: manhattan_f1
value: 79.14949970570925
verified: false
- type: manhattan_precision
value: 75.78191039729502
verified: false
- type: manhattan_recall
value: 82.83030489682784
verified: false
- type: max_accuracy
value: 89.40699344122326
verified: false
- type: max_ap
value: 86.60631843011362
verified: false
- type: max_f1
value: 79.14949970570925
verified: false
- task:
type: STS
dataset:
name: MTEB AFQMC
type: C-MTEB/AFQMC
config: default
split: validation
revision: b44c3b011063adb25877c13823db83bb193913c4
metrics:
- type: cos_sim_pearson
value: 65.58442135663871
verified: false
- type: cos_sim_spearman
value: 72.2538631361313
verified: false
- type: euclidean_pearson
value: 70.97255486607429
verified: false
- type: euclidean_spearman
value: 72.25374250228647
verified: false
- type: manhattan_pearson
value: 70.83250199989911
verified: false
- type: manhattan_spearman
value: 72.14819496536272
verified: false
- task:
type: STS
dataset:
name: MTEB ATEC
type: C-MTEB/ATEC
config: default
split: test
revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
metrics:
- type: cos_sim_pearson
value: 59.99478404929932
verified: false
- type: cos_sim_spearman
value: 62.61836216999812
verified: false
- type: euclidean_pearson
value: 66.86429811933593
verified: false
- type: euclidean_spearman
value: 62.6183520374191
verified: false
- type: manhattan_pearson
value: 66.8063778911633
verified: false
- type: manhattan_spearman
value: 62.569607573241115
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (zh)
type: mteb/amazon_reviews_multi
config: zh
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 53.98400000000001
verified: false
- type: f1
value: 51.21447361350723
verified: false
- task:
type: STS
dataset:
name: MTEB BQ
type: C-MTEB/BQ
config: default
split: test
revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
metrics:
- type: cos_sim_pearson
value: 79.11941660686553
verified: false
- type: cos_sim_spearman
value: 81.25029594540435
verified: false
- type: euclidean_pearson
value: 82.06973504238826
verified: false
- type: euclidean_spearman
value: 81.2501989488524
verified: false
- type: manhattan_pearson
value: 82.10094630392753
verified: false
- type: manhattan_spearman
value: 81.27987244392389
verified: false
- task:
type: Clustering
dataset:
name: MTEB CLSClusteringP2P
type: C-MTEB/CLSClusteringP2P
config: default
split: test
revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
metrics:
- type: v_measure
value: 47.07270168705156
verified: false
- task:
type: Clustering
dataset:
name: MTEB CLSClusteringS2S
type: C-MTEB/CLSClusteringS2S
config: default
split: test
revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
metrics:
- type: v_measure
value: 45.98511703185043
verified: false
- task:
type: Reranking
dataset:
name: MTEB CMedQAv1
type: C-MTEB/CMedQAv1-reranking
config: default
split: test
revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
metrics:
- type: map
value: 88.19895157194931
verified: false
- type: mrr
value: 90.21424603174603
verified: false
- task:
type: Reranking
dataset:
name: MTEB CMedQAv2
type: C-MTEB/CMedQAv2-reranking
config: default
split: test
revision: 23d186750531a14a0357ca22cd92d712fd512ea0
metrics:
- type: map
value: 88.03317320980119
verified: false
- type: mrr
value: 89.9461507936508
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CmedqaRetrieval
type: C-MTEB/CmedqaRetrieval
config: default
split: dev
revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
metrics:
- type: map_at_1
value: 29.037000000000003
verified: false
- type: map_at_10
value: 42.001
verified: false
- type: map_at_100
value: 43.773
verified: false
- type: map_at_1000
value: 43.878
verified: false
- type: map_at_3
value: 37.637
verified: false
- type: map_at_5
value: 40.034
verified: false
- type: mrr_at_1
value: 43.136
verified: false
- type: mrr_at_10
value: 51.158
verified: false
- type: mrr_at_100
value: 52.083
verified: false
- type: mrr_at_1000
value: 52.12
verified: false
- type: mrr_at_3
value: 48.733
verified: false
- type: mrr_at_5
value: 50.025
verified: false
- type: ndcg_at_1
value: 43.136
verified: false
- type: ndcg_at_10
value: 48.685
verified: false
- type: ndcg_at_100
value: 55.513
verified: false
- type: ndcg_at_1000
value: 57.242000000000004
verified: false
- type: ndcg_at_3
value: 43.329
verified: false
- type: ndcg_at_5
value: 45.438
verified: false
- type: precision_at_1
value: 43.136
verified: false
- type: precision_at_10
value: 10.56
verified: false
- type: precision_at_100
value: 1.6129999999999998
verified: false
- type: precision_at_1000
value: 0.184
verified: false
- type: precision_at_3
value: 24.064
verified: false
- type: precision_at_5
value: 17.269000000000002
verified: false
- type: recall_at_1
value: 29.037000000000003
verified: false
- type: recall_at_10
value: 59.245000000000005
verified: false
- type: recall_at_100
value: 87.355
verified: false
- type: recall_at_1000
value: 98.74000000000001
verified: false
- type: recall_at_3
value: 42.99
verified: false
- type: recall_at_5
value: 49.681999999999995
verified: false
- task:
type: PairClassification
dataset:
name: MTEB Cmnli
type: C-MTEB/CMNLI
config: default
split: validation
revision: 41bc36f332156f7adc9e38f53777c959b2ae9766
metrics:
- type: cos_sim_accuracy
value: 82.68190018039687
verified: false
- type: cos_sim_ap
value: 90.18017125327886
verified: false
- type: cos_sim_f1
value: 83.64080906868193
verified: false
- type: cos_sim_precision
value: 79.7076890489303
verified: false
- type: cos_sim_recall
value: 87.98223053542202
verified: false
- type: dot_accuracy
value: 82.68190018039687
verified: false
- type: dot_ap
value: 90.18782350103646
verified: false
- type: dot_f1
value: 83.64242087729039
verified: false
- type: dot_precision
value: 79.65313028764805
verified: false
- type: dot_recall
value: 88.05237315875614
verified: false
- type: euclidean_accuracy
value: 82.68190018039687
verified: false
- type: euclidean_ap
value: 90.1801957900632
verified: false
- type: euclidean_f1
value: 83.63636363636364
verified: false
- type: euclidean_precision
value: 79.52772506852203
verified: false
- type: euclidean_recall
value: 88.19265840542437
verified: false
- type: manhattan_accuracy
value: 82.14070956103427
verified: false
- type: manhattan_ap
value: 89.96178420101427
verified: false
- type: manhattan_f1
value: 83.21087838578791
verified: false
- type: manhattan_precision
value: 78.35605121850475
verified: false
- type: manhattan_recall
value: 88.70703764320785
verified: false
- type: max_accuracy
value: 82.68190018039687
verified: false
- type: max_ap
value: 90.18782350103646
verified: false
- type: max_f1
value: 83.64242087729039
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CovidRetrieval
type: C-MTEB/CovidRetrieval
config: default
split: dev
revision: 1271c7809071a13532e05f25fb53511ffce77117
metrics:
- type: map_at_1
value: 72.234
verified: false
- type: map_at_10
value: 80.10000000000001
verified: false
- type: map_at_100
value: 80.36
verified: false
- type: map_at_1000
value: 80.363
verified: false
- type: map_at_3
value: 78.315
verified: false
- type: map_at_5
value: 79.607
verified: false
- type: mrr_at_1
value: 72.392
verified: false
- type: mrr_at_10
value: 80.117
verified: false
- type: mrr_at_100
value: 80.36999999999999
verified: false
- type: mrr_at_1000
value: 80.373
verified: false
- type: mrr_at_3
value: 78.469
verified: false
- type: mrr_at_5
value: 79.633
verified: false
- type: ndcg_at_1
value: 72.392
verified: false
- type: ndcg_at_10
value: 83.651
verified: false
- type: ndcg_at_100
value: 84.749
verified: false
- type: ndcg_at_1000
value: 84.83000000000001
verified: false
- type: ndcg_at_3
value: 80.253
verified: false
- type: ndcg_at_5
value: 82.485
verified: false
- type: precision_at_1
value: 72.392
verified: false
- type: precision_at_10
value: 9.557
verified: false
- type: precision_at_100
value: 1.004
verified: false
- type: precision_at_1000
value: 0.101
verified: false
- type: precision_at_3
value: 28.732000000000003
verified: false
- type: precision_at_5
value: 18.377
verified: false
- type: recall_at_1
value: 72.234
verified: false
- type: recall_at_10
value: 94.573
verified: false
- type: recall_at_100
value: 99.368
verified: false
- type: recall_at_1000
value: 100
verified: false
- type: recall_at_3
value: 85.669
verified: false
- type: recall_at_5
value: 91.01700000000001
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DuRetrieval
type: C-MTEB/DuRetrieval
config: default
split: dev
revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
metrics:
- type: map_at_1
value: 26.173999999999996
verified: false
- type: map_at_10
value: 80.04
verified: false
- type: map_at_100
value: 82.94500000000001
verified: false
- type: map_at_1000
value: 82.98100000000001
verified: false
- type: map_at_3
value: 55.562999999999995
verified: false
- type: map_at_5
value: 69.89800000000001
verified: false
- type: mrr_at_1
value: 89.5
verified: false
- type: mrr_at_10
value: 92.996
verified: false
- type: mrr_at_100
value: 93.06400000000001
verified: false
- type: mrr_at_1000
value: 93.065
verified: false
- type: mrr_at_3
value: 92.658
verified: false
- type: mrr_at_5
value: 92.84599999999999
verified: false
- type: ndcg_at_1
value: 89.5
verified: false
- type: ndcg_at_10
value: 87.443
verified: false
- type: ndcg_at_100
value: 90.253
verified: false
- type: ndcg_at_1000
value: 90.549
verified: false
- type: ndcg_at_3
value: 85.874
verified: false
- type: ndcg_at_5
value: 84.842
verified: false
- type: precision_at_1
value: 89.5
verified: false
- type: precision_at_10
value: 41.805
verified: false
- type: precision_at_100
value: 4.827
verified: false
- type: precision_at_1000
value: 0.49
verified: false
- type: precision_at_3
value: 76.85
verified: false
- type: precision_at_5
value: 64.8
verified: false
- type: recall_at_1
value: 26.173999999999996
verified: false
- type: recall_at_10
value: 89.101
verified: false
- type: recall_at_100
value: 98.08099999999999
verified: false
- type: recall_at_1000
value: 99.529
verified: false
- type: recall_at_3
value: 57.902
verified: false
- type: recall_at_5
value: 74.602
verified: false
- task:
type: Retrieval
dataset:
name: MTEB EcomRetrieval
type: C-MTEB/EcomRetrieval
config: default
split: dev
revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
metrics:
- type: map_at_1
value: 56.10000000000001
verified: false
- type: map_at_10
value: 66.15299999999999
verified: false
- type: map_at_100
value: 66.625
verified: false
- type: map_at_1000
value: 66.636
verified: false
- type: map_at_3
value: 63.632999999999996
verified: false
- type: map_at_5
value: 65.293
verified: false
- type: mrr_at_1
value: 56.10000000000001
verified: false
- type: mrr_at_10
value: 66.15299999999999
verified: false
- type: mrr_at_100
value: 66.625
verified: false
- type: mrr_at_1000
value: 66.636
verified: false
- type: mrr_at_3
value: 63.632999999999996
verified: false
- type: mrr_at_5
value: 65.293
verified: false
- type: ndcg_at_1
value: 56.10000000000001
verified: false
- type: ndcg_at_10
value: 71.146
verified: false
- type: ndcg_at_100
value: 73.27799999999999
verified: false
- type: ndcg_at_1000
value: 73.529
verified: false
- type: ndcg_at_3
value: 66.09
verified: false
- type: ndcg_at_5
value: 69.08999999999999
verified: false
- type: precision_at_1
value: 56.10000000000001
verified: false
- type: precision_at_10
value: 8.68
verified: false
- type: precision_at_100
value: 0.964
verified: false
- type: precision_at_1000
value: 0.098
verified: false
- type: precision_at_3
value: 24.4
verified: false
- type: precision_at_5
value: 16.1
verified: false
- type: recall_at_1
value: 56.10000000000001
verified: false
- type: recall_at_10
value: 86.8
verified: false
- type: recall_at_100
value: 96.39999999999999
verified: false
- type: recall_at_1000
value: 98.3
verified: false
- type: recall_at_3
value: 73.2
verified: false
- type: recall_at_5
value: 80.5
verified: false
- task:
type: Classification
dataset:
name: MTEB IFlyTek
type: C-MTEB/IFlyTek-classification
config: default
split: validation
revision: 421605374b29664c5fc098418fe20ada9bd55f8a
metrics:
- type: accuracy
value: 54.52096960369373
verified: false
- type: f1
value: 40.930845295808695
verified: false
- task:
type: Classification
dataset:
name: MTEB JDReview
type: C-MTEB/JDReview-classification
config: default
split: test
revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
metrics:
- type: accuracy
value: 86.51031894934334
verified: false
- type: ap
value: 55.9516014323483
verified: false
- type: f1
value: 81.54813679326381
verified: false
- task:
type: STS
dataset:
name: MTEB LCQMC
type: C-MTEB/LCQMC
config: default
split: test
revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
metrics:
- type: cos_sim_pearson
value: 69.67437838574276
verified: false
- type: cos_sim_spearman
value: 73.81314174653045
verified: false
- type: euclidean_pearson
value: 72.63430276680275
verified: false
- type: euclidean_spearman
value: 73.81358736777001
verified: false
- type: manhattan_pearson
value: 72.58743833842829
verified: false
- type: manhattan_spearman
value: 73.7590419009179
verified: false
- task:
type: Reranking
dataset:
name: MTEB MMarcoReranking
type: C-MTEB/Mmarco-reranking
config: default
split: dev
revision: None
metrics:
- type: map
value: 31.648613483640254
verified: false
- type: mrr
value: 30.37420634920635
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MMarcoRetrieval
type: C-MTEB/MMarcoRetrieval
config: default
split: dev
revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
metrics:
- type: map_at_1
value: 73.28099999999999
verified: false
- type: map_at_10
value: 81.977
verified: false
- type: map_at_100
value: 82.222
verified: false
- type: map_at_1000
value: 82.22699999999999
verified: false
- type: map_at_3
value: 80.441
verified: false
- type: map_at_5
value: 81.46600000000001
verified: false
- type: mrr_at_1
value: 75.673
verified: false
- type: mrr_at_10
value: 82.41000000000001
verified: false
- type: mrr_at_100
value: 82.616
verified: false
- type: mrr_at_1000
value: 82.621
verified: false
- type: mrr_at_3
value: 81.094
verified: false
- type: mrr_at_5
value: 81.962
verified: false
- type: ndcg_at_1
value: 75.673
verified: false
- type: ndcg_at_10
value: 85.15599999999999
verified: false
- type: ndcg_at_100
value: 86.151
verified: false
- type: ndcg_at_1000
value: 86.26899999999999
verified: false
- type: ndcg_at_3
value: 82.304
verified: false
- type: ndcg_at_5
value: 84.009
verified: false
- type: precision_at_1
value: 75.673
verified: false
- type: precision_at_10
value: 10.042
verified: false
- type: precision_at_100
value: 1.052
verified: false
- type: precision_at_1000
value: 0.106
verified: false
- type: precision_at_3
value: 30.673000000000002
verified: false
- type: precision_at_5
value: 19.326999999999998
verified: false
- type: recall_at_1
value: 73.28099999999999
verified: false
- type: recall_at_10
value: 94.446
verified: false
- type: recall_at_100
value: 98.737
verified: false
- type: recall_at_1000
value: 99.649
verified: false
- type: recall_at_3
value: 86.984
verified: false
- type: recall_at_5
value: 91.024
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification (zh-CN)
type: mteb/amazon_massive_intent
config: zh-CN
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 81.08607935440484
verified: false
- type: f1
value: 78.24879986066307
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (zh-CN)
type: mteb/amazon_massive_scenario
config: zh-CN
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 86.05917955615332
verified: false
- type: f1
value: 85.05279279434997
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MedicalRetrieval
type: C-MTEB/MedicalRetrieval
config: default
split: dev
revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
metrics:
- type: map_at_1
value: 56.2
verified: false
- type: map_at_10
value: 62.57899999999999
verified: false
- type: map_at_100
value: 63.154999999999994
verified: false
- type: map_at_1000
value: 63.193
verified: false
- type: map_at_3
value: 61.217
verified: false
- type: map_at_5
value: 62.012
verified: false
- type: mrr_at_1
value: 56.3
verified: false
- type: mrr_at_10
value: 62.629000000000005
verified: false
- type: mrr_at_100
value: 63.205999999999996
verified: false
- type: mrr_at_1000
value: 63.244
verified: false
- type: mrr_at_3
value: 61.267
verified: false
- type: mrr_at_5
value: 62.062
verified: false
- type: ndcg_at_1
value: 56.2
verified: false
- type: ndcg_at_10
value: 65.592
verified: false
- type: ndcg_at_100
value: 68.657
verified: false
- type: ndcg_at_1000
value: 69.671
verified: false
- type: ndcg_at_3
value: 62.808
verified: false
- type: ndcg_at_5
value: 64.24499999999999
verified: false
- type: precision_at_1
value: 56.2
verified: false
- type: precision_at_10
value: 7.5
verified: false
- type: precision_at_100
value: 0.899
verified: false
- type: precision_at_1000
value: 0.098
verified: false
- type: precision_at_3
value: 22.467000000000002
verified: false
- type: precision_at_5
value: 14.180000000000001
verified: false
- type: recall_at_1
value: 56.2
verified: false
- type: recall_at_10
value: 75
verified: false
- type: recall_at_100
value: 89.9
verified: false
- type: recall_at_1000
value: 97.89999999999999
verified: false
- type: recall_at_3
value: 67.4
verified: false
- type: recall_at_5
value: 70.89999999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB MultilingualSentiment
type: C-MTEB/MultilingualSentiment-classification
config: default
split: validation
revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
metrics:
- type: accuracy
value: 76.87666666666667
verified: false
- type: f1
value: 76.7317686219665
verified: false
- task:
type: PairClassification
dataset:
name: MTEB Ocnli
type: C-MTEB/OCNLI
config: default
split: validation
revision: 66e76a618a34d6d565d5538088562851e6daa7ec
metrics:
- type: cos_sim_accuracy
value: 79.64266377910124
verified: false
- type: cos_sim_ap
value: 84.78274442344829
verified: false
- type: cos_sim_f1
value: 81.16947472745292
verified: false
- type: cos_sim_precision
value: 76.47058823529412
verified: false
- type: cos_sim_recall
value: 86.48363252375924
verified: false
- type: dot_accuracy
value: 79.64266377910124
verified: false
- type: dot_ap
value: 84.7851404063692
verified: false
- type: dot_f1
value: 81.16947472745292
verified: false
- type: dot_precision
value: 76.47058823529412
verified: false
- type: dot_recall
value: 86.48363252375924
verified: false
- type: euclidean_accuracy
value: 79.64266377910124
verified: false
- type: euclidean_ap
value: 84.78068373762378
verified: false
- type: euclidean_f1
value: 81.14794656110837
verified: false
- type: euclidean_precision
value: 76.35009310986965
verified: false
- type: euclidean_recall
value: 86.58922914466737
verified: false
- type: manhattan_accuracy
value: 79.48023822414727
verified: false
- type: manhattan_ap
value: 84.72928897427576
verified: false
- type: manhattan_f1
value: 81.32084770823064
verified: false
- type: manhattan_precision
value: 76.24768946395564
verified: false
- type: manhattan_recall
value: 87.11721224920802
verified: false
- type: max_accuracy
value: 79.64266377910124
verified: false
- type: max_ap
value: 84.7851404063692
verified: false
- type: max_f1
value: 81.32084770823064
verified: false
- task:
type: Classification
dataset:
name: MTEB OnlineShopping
type: C-MTEB/OnlineShopping-classification
config: default
split: test
revision: e610f2ebd179a8fda30ae534c3878750a96db120
metrics:
- type: accuracy
value: 94.3
verified: false
- type: ap
value: 92.8664032274438
verified: false
- type: f1
value: 94.29311102997727
verified: false
- task:
type: STS
dataset:
name: MTEB PAWSX
type: C-MTEB/PAWSX
config: default
split: test
revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
metrics:
- type: cos_sim_pearson
value: 48.51392279882909
verified: false
- type: cos_sim_spearman
value: 54.06338895994974
verified: false
- type: euclidean_pearson
value: 52.58480559573412
verified: false
- type: euclidean_spearman
value: 54.06417276612201
verified: false
- type: manhattan_pearson
value: 52.69525121721343
verified: false
- type: manhattan_spearman
value: 54.048147455389675
verified: false
- task:
type: STS
dataset:
name: MTEB QBQTC
type: C-MTEB/QBQTC
config: default
split: test
revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
metrics:
- type: cos_sim_pearson
value: 29.728387290757325
verified: false
- type: cos_sim_spearman
value: 31.366121633635284
verified: false
- type: euclidean_pearson
value: 29.14588368552961
verified: false
- type: euclidean_spearman
value: 31.36764411112844
verified: false
- type: manhattan_pearson
value: 29.63517350523121
verified: false
- type: manhattan_spearman
value: 31.94157020583762
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (zh)
type: mteb/sts22-crosslingual-sts
config: zh
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 63.64868296271406
verified: false
- type: cos_sim_spearman
value: 66.12800618164744
verified: false
- type: euclidean_pearson
value: 63.21405767340238
verified: false
- type: euclidean_spearman
value: 66.12786567790748
verified: false
- type: manhattan_pearson
value: 64.04300276525848
verified: false
- type: manhattan_spearman
value: 66.5066857145652
verified: false
- task:
type: STS
dataset:
name: MTEB STSB
type: C-MTEB/STSB
config: default
split: test
revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
metrics:
- type: cos_sim_pearson
value: 81.2302623912794
verified: false
- type: cos_sim_spearman
value: 81.16833673266562
verified: false
- type: euclidean_pearson
value: 79.47647843876024
verified: false
- type: euclidean_spearman
value: 81.16944349524972
verified: false
- type: manhattan_pearson
value: 79.84947238492208
verified: false
- type: manhattan_spearman
value: 81.64626599410026
verified: false
- task:
type: Reranking
dataset:
name: MTEB T2Reranking
type: C-MTEB/T2Reranking
config: default
split: dev
revision: 76631901a18387f85eaa53e5450019b87ad58ef9
metrics:
- type: map
value: 67.80129586475687
verified: false
- type: mrr
value: 77.77402311635554
verified: false
- task:
type: Retrieval
dataset:
name: MTEB T2Retrieval
type: C-MTEB/T2Retrieval
config: default
split: dev
revision: 8731a845f1bf500a4f111cf1070785c793d10e64
metrics:
- type: map_at_1
value: 28.666999999999998
verified: false
- type: map_at_10
value: 81.063
verified: false
- type: map_at_100
value: 84.504
verified: false
- type: map_at_1000
value: 84.552
verified: false
- type: map_at_3
value: 56.897
verified: false
- type: map_at_5
value: 70.073
verified: false
- type: mrr_at_1
value: 92.087
verified: false
- type: mrr_at_10
value: 94.132
verified: false
- type: mrr_at_100
value: 94.19800000000001
verified: false
- type: mrr_at_1000
value: 94.19999999999999
verified: false
- type: mrr_at_3
value: 93.78999999999999
verified: false
- type: mrr_at_5
value: 94.002
verified: false
- type: ndcg_at_1
value: 92.087
verified: false
- type: ndcg_at_10
value: 87.734
verified: false
- type: ndcg_at_100
value: 90.736
verified: false
- type: ndcg_at_1000
value: 91.184
verified: false
- type: ndcg_at_3
value: 88.78
verified: false
- type: ndcg_at_5
value: 87.676
verified: false
- type: precision_at_1
value: 92.087
verified: false
- type: precision_at_10
value: 43.46
verified: false
- type: precision_at_100
value: 5.07
verified: false
- type: precision_at_1000
value: 0.518
verified: false
- type: precision_at_3
value: 77.49000000000001
verified: false
- type: precision_at_5
value: 65.194
verified: false
- type: recall_at_1
value: 28.666999999999998
verified: false
- type: recall_at_10
value: 86.632
verified: false
- type: recall_at_100
value: 96.646
verified: false
- type: recall_at_1000
value: 98.917
verified: false
- type: recall_at_3
value: 58.333999999999996
verified: false
- type: recall_at_5
value: 72.974
verified: false
- task:
type: Classification
dataset:
name: MTEB TNews
type: C-MTEB/TNews-classification
config: default
split: validation
revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
metrics:
- type: accuracy
value: 52.971999999999994
verified: false
- type: f1
value: 50.2898280984929
verified: false
- task:
type: Clustering
dataset:
name: MTEB ThuNewsClusteringP2P
type: C-MTEB/ThuNewsClusteringP2P
config: default
split: test
revision: 5798586b105c0434e4f0fe5e767abe619442cf93
metrics:
- type: v_measure
value: 86.0797948663824
verified: false
- task:
type: Clustering
dataset:
name: MTEB ThuNewsClusteringS2S
type: C-MTEB/ThuNewsClusteringS2S
config: default
split: test
revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
metrics:
- type: v_measure
value: 85.10759092255017
verified: false
- task:
type: Retrieval
dataset:
name: MTEB VideoRetrieval
type: C-MTEB/VideoRetrieval
config: default
split: dev
revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
metrics:
- type: map_at_1
value: 65.60000000000001
verified: false
- type: map_at_10
value: 74.773
verified: false
- type: map_at_100
value: 75.128
verified: false
- type: map_at_1000
value: 75.136
verified: false
- type: map_at_3
value: 73.05
verified: false
- type: map_at_5
value: 74.13499999999999
verified: false
- type: mrr_at_1
value: 65.60000000000001
verified: false
- type: mrr_at_10
value: 74.773
verified: false
- type: mrr_at_100
value: 75.128
verified: false
- type: mrr_at_1000
value: 75.136
verified: false
- type: mrr_at_3
value: 73.05
verified: false
- type: mrr_at_5
value: 74.13499999999999
verified: false
- type: ndcg_at_1
value: 65.60000000000001
verified: false
- type: ndcg_at_10
value: 78.84299999999999
verified: false
- type: ndcg_at_100
value: 80.40899999999999
verified: false
- type: ndcg_at_1000
value: 80.57
verified: false
- type: ndcg_at_3
value: 75.40599999999999
verified: false
- type: ndcg_at_5
value: 77.351
verified: false
- type: precision_at_1
value: 65.60000000000001
verified: false
- type: precision_at_10
value: 9.139999999999999
verified: false
- type: precision_at_100
value: 0.984
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 27.400000000000002
verified: false
- type: precision_at_5
value: 17.380000000000003
verified: false
- type: recall_at_1
value: 65.60000000000001
verified: false
- type: recall_at_10
value: 91.4
verified: false
- type: recall_at_100
value: 98.4
verified: false
- type: recall_at_1000
value: 99.6
verified: false
- type: recall_at_3
value: 82.19999999999999
verified: false
- type: recall_at_5
value: 86.9
verified: false
- task:
type: Classification
dataset:
name: MTEB Waimai
type: C-MTEB/waimai-classification
config: default
split: test
revision: 339287def212450dcaa9df8c22bf93e9980c7023
metrics:
- type: accuracy
value: 89.47
verified: false
- type: ap
value: 75.59561751845389
verified: false
- type: f1
value: 87.95207751382563
verified: false
- task:
type: Clustering
dataset:
name: MTEB AlloProfClusteringP2P
type: lyon-nlp/alloprof
config: default
split: test
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
metrics:
- type: v_measure
value: 76.05592323841036
verified: false
- type: v_measure
value: 64.51718058866508
verified: false
- task:
type: Reranking
dataset:
name: MTEB AlloprofReranking
type: lyon-nlp/mteb-fr-reranking-alloprof-s2p
config: default
split: test
revision: 666fdacebe0291776e86f29345663dfaf80a0db9
metrics:
- type: map
value: 73.08278490943373
verified: false
- type: mrr
value: 74.66561454570449
verified: false
- task:
type: Retrieval
dataset:
name: MTEB AlloprofRetrieval
type: lyon-nlp/alloprof
config: default
split: test
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
metrics:
- type: map_at_1
value: 38.912
verified: false
- type: map_at_10
value: 52.437999999999995
verified: false
- type: map_at_100
value: 53.38
verified: false
- type: map_at_1000
value: 53.427
verified: false
- type: map_at_3
value: 48.879
verified: false
- type: map_at_5
value: 50.934000000000005
verified: false
- type: mrr_at_1
value: 44.085
verified: false
- type: mrr_at_10
value: 55.337
verified: false
- type: mrr_at_100
value: 56.016999999999996
verified: false
- type: mrr_at_1000
value: 56.043
verified: false
- type: mrr_at_3
value: 52.55499999999999
verified: false
- type: mrr_at_5
value: 54.20399999999999
verified: false
- type: ndcg_at_1
value: 44.085
verified: false
- type: ndcg_at_10
value: 58.876
verified: false
- type: ndcg_at_100
value: 62.714000000000006
verified: false
- type: ndcg_at_1000
value: 63.721000000000004
verified: false
- type: ndcg_at_3
value: 52.444
verified: false
- type: ndcg_at_5
value: 55.692
verified: false
- type: precision_at_1
value: 44.085
verified: false
- type: precision_at_10
value: 9.21
verified: false
- type: precision_at_100
value: 1.164
verified: false
- type: precision_at_1000
value: 0.128
verified: false
- type: precision_at_3
value: 23.043
verified: false
- type: precision_at_5
value: 15.898000000000001
verified: false
- type: recall_at_1
value: 38.912
verified: false
- type: recall_at_10
value: 75.577
verified: false
- type: recall_at_100
value: 92.038
verified: false
- type: recall_at_1000
value: 99.325
verified: false
- type: recall_at_3
value: 58.592
verified: false
- type: recall_at_5
value: 66.235
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (fr)
type: mteb/amazon_reviews_multi
config: fr
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 55.532000000000004
verified: false
- type: f1
value: 52.5783943471605
verified: false
- task:
type: Retrieval
dataset:
name: MTEB BSARDRetrieval
type: maastrichtlawtech/bsard
config: default
split: test
revision: 5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59
metrics:
- type: map_at_1
value: 8.108
verified: false
- type: map_at_10
value: 14.710999999999999
verified: false
- type: map_at_100
value: 15.891
verified: false
- type: map_at_1000
value: 15.983
verified: false
- type: map_at_3
value: 12.237
verified: false
- type: map_at_5
value: 13.679
verified: false
- type: mrr_at_1
value: 8.108
verified: false
- type: mrr_at_10
value: 14.710999999999999
verified: false
- type: mrr_at_100
value: 15.891
verified: false
- type: mrr_at_1000
value: 15.983
verified: false
- type: mrr_at_3
value: 12.237
verified: false
- type: mrr_at_5
value: 13.679
verified: false
- type: ndcg_at_1
value: 8.108
verified: false
- type: ndcg_at_10
value: 18.796
verified: false
- type: ndcg_at_100
value: 25.098
verified: false
- type: ndcg_at_1000
value: 27.951999999999998
verified: false
- type: ndcg_at_3
value: 13.712
verified: false
- type: ndcg_at_5
value: 16.309
verified: false
- type: precision_at_1
value: 8.108
verified: false
- type: precision_at_10
value: 3.198
verified: false
- type: precision_at_100
value: 0.626
verified: false
- type: precision_at_1000
value: 0.086
verified: false
- type: precision_at_3
value: 6.006
verified: false
- type: precision_at_5
value: 4.865
verified: false
- type: recall_at_1
value: 8.108
verified: false
- type: recall_at_10
value: 31.982
verified: false
- type: recall_at_100
value: 62.613
verified: false
- type: recall_at_1000
value: 86.036
verified: false
- type: recall_at_3
value: 18.018
verified: false
- type: recall_at_5
value: 24.324
verified: false
- task:
type: Clustering
dataset:
name: MTEB HALClusteringS2S
type: lyon-nlp/clustering-hal-s2s
config: default
split: test
revision: e06ebbbb123f8144bef1a5d18796f3dec9ae2915
metrics:
- type: v_measure
value: 30.833269778867116
verified: false
- task:
type: Clustering
dataset:
name: MTEB MLSUMClusteringP2P
type: mlsum
config: default
split: test
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
metrics:
- type: v_measure
value: 50.0281928004713
verified: false
- type: v_measure
value: 43.699961510636534
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (fr)
type: mteb/mtop_domain
config: fr
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 96.68963357344191
verified: false
- type: f1
value: 96.45175170820961
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (fr)
type: mteb/mtop_intent
config: fr
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 87.46946445349202
verified: false
- type: f1
value: 65.79860440988624
verified: false
- task:
type: Classification
dataset:
name: MTEB MasakhaNEWSClassification (fra)
type: masakhane/masakhanews
config: fra
split: test
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
metrics:
- type: accuracy
value: 82.60663507109005
verified: false
- type: f1
value: 77.20462646604777
verified: false
- task:
type: Clustering
dataset:
name: MTEB MasakhaNEWSClusteringP2P (fra)
type: masakhane/masakhanews
config: fra
split: test
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
metrics:
- type: v_measure
value: 60.19311264967803
verified: false
- type: v_measure
value: 63.6235764409785
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification (fr)
type: mteb/amazon_massive_intent
config: fr
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 81.65097511768661
verified: false
- type: f1
value: 78.77796091490924
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (fr)
type: mteb/amazon_massive_scenario
config: fr
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 86.64425016812373
verified: false
- type: f1
value: 85.4912728670017
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MintakaRetrieval (fr)
type: jinaai/mintakaqa
config: fr
split: test
revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
metrics:
- type: map_at_1
value: 35.913000000000004
verified: false
- type: map_at_10
value: 48.147
verified: false
- type: map_at_100
value: 48.91
verified: false
- type: map_at_1000
value: 48.949
verified: false
- type: map_at_3
value: 45.269999999999996
verified: false
- type: map_at_5
value: 47.115
verified: false
- type: mrr_at_1
value: 35.913000000000004
verified: false
- type: mrr_at_10
value: 48.147
verified: false
- type: mrr_at_100
value: 48.91
verified: false
- type: mrr_at_1000
value: 48.949
verified: false
- type: mrr_at_3
value: 45.269999999999996
verified: false
- type: mrr_at_5
value: 47.115
verified: false
- type: ndcg_at_1
value: 35.913000000000004
verified: false
- type: ndcg_at_10
value: 54.03
verified: false
- type: ndcg_at_100
value: 57.839
verified: false
- type: ndcg_at_1000
value: 58.925000000000004
verified: false
- type: ndcg_at_3
value: 48.217999999999996
verified: false
- type: ndcg_at_5
value: 51.56699999999999
verified: false
- type: precision_at_1
value: 35.913000000000004
verified: false
- type: precision_at_10
value: 7.244000000000001
verified: false
- type: precision_at_100
value: 0.9039999999999999
verified: false
- type: precision_at_1000
value: 0.099
verified: false
- type: precision_at_3
value: 18.905
verified: false
- type: precision_at_5
value: 12.981000000000002
verified: false
- type: recall_at_1
value: 35.913000000000004
verified: false
- type: recall_at_10
value: 72.441
verified: false
- type: recall_at_100
value: 90.41799999999999
verified: false
- type: recall_at_1000
value: 99.099
verified: false
- type: recall_at_3
value: 56.716
verified: false
- type: recall_at_5
value: 64.90599999999999
verified: false
- task:
type: PairClassification
dataset:
name: MTEB OpusparcusPC (fr)
type: GEM/opusparcus
config: fr
split: test
revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
metrics:
- type: cos_sim_accuracy
value: 99.90069513406156
verified: false
- type: cos_sim_ap
value: 100
verified: false
- type: cos_sim_f1
value: 99.95032290114257
verified: false
- type: cos_sim_precision
value: 100
verified: false
- type: cos_sim_recall
value: 99.90069513406156
verified: false
- type: dot_accuracy
value: 99.90069513406156
verified: false
- type: dot_ap
value: 100
verified: false
- type: dot_f1
value: 99.95032290114257
verified: false
- type: dot_precision
value: 100
verified: false
- type: dot_recall
value: 99.90069513406156
verified: false
- type: euclidean_accuracy
value: 99.90069513406156
verified: false
- type: euclidean_ap
value: 100
verified: false
- type: euclidean_f1
value: 99.95032290114257
verified: false
- type: euclidean_precision
value: 100
verified: false
- type: euclidean_recall
value: 99.90069513406156
verified: false
- type: manhattan_accuracy
value: 99.90069513406156
verified: false
- type: manhattan_ap
value: 100
verified: false
- type: manhattan_f1
value: 99.95032290114257
verified: false
- type: manhattan_precision
value: 100
verified: false
- type: manhattan_recall
value: 99.90069513406156
verified: false
- type: max_accuracy
value: 99.90069513406156
verified: false
- type: max_ap
value: 100
verified: false
- type: max_f1
value: 99.95032290114257
verified: false
- task:
type: PairClassification
dataset:
name: MTEB PawsX (fr)
type: paws-x
config: fr
split: test
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
metrics:
- type: cos_sim_accuracy
value: 75.25
verified: false
- type: cos_sim_ap
value: 80.86376001270014
verified: false
- type: cos_sim_f1
value: 73.65945437441204
verified: false
- type: cos_sim_precision
value: 64.02289452166802
verified: false
- type: cos_sim_recall
value: 86.71096345514951
verified: false
- type: dot_accuracy
value: 75.25
verified: false
- type: dot_ap
value: 80.93686107633002
verified: false
- type: dot_f1
value: 73.65945437441204
verified: false
- type: dot_precision
value: 64.02289452166802
verified: false
- type: dot_recall
value: 86.71096345514951
verified: false
- type: euclidean_accuracy
value: 75.25
verified: false
- type: euclidean_ap
value: 80.86379136218862
verified: false
- type: euclidean_f1
value: 73.65945437441204
verified: false
- type: euclidean_precision
value: 64.02289452166802
verified: false
- type: euclidean_recall
value: 86.71096345514951
verified: false
- type: manhattan_accuracy
value: 75.3
verified: false
- type: manhattan_ap
value: 80.87826606097734
verified: false
- type: manhattan_f1
value: 73.68421052631581
verified: false
- type: manhattan_precision
value: 64
verified: false
- type: manhattan_recall
value: 86.82170542635659
verified: false
- type: max_accuracy
value: 75.3
verified: false
- type: max_ap
value: 80.93686107633002
verified: false
- type: max_f1
value: 73.68421052631581
verified: false
- task:
type: STS
dataset:
name: MTEB SICKFr
type: Lajavaness/SICK-fr
config: default
split: test
revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
metrics:
- type: cos_sim_pearson
value: 81.42349425981143
verified: false
- type: cos_sim_spearman
value: 78.90454327031226
verified: false
- type: euclidean_pearson
value: 78.39086497435166
verified: false
- type: euclidean_spearman
value: 78.9046133980509
verified: false
- type: manhattan_pearson
value: 78.63743094286502
verified: false
- type: manhattan_spearman
value: 79.12136348449269
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (fr)
type: mteb/sts22-crosslingual-sts
config: fr
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 81.452697919749
verified: false
- type: cos_sim_spearman
value: 82.58116836039301
verified: false
- type: euclidean_pearson
value: 81.04038478932786
verified: false
- type: euclidean_spearman
value: 82.58116836039301
verified: false
- type: manhattan_pearson
value: 81.37075396187771
verified: false
- type: manhattan_spearman
value: 82.73678231355368
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmarkMultilingualSTS (fr)
type: stsb_multi_mt
config: fr
split: test
revision: 93d57ef91790589e3ce9c365164337a8a78b7632
metrics:
- type: cos_sim_pearson
value: 85.7419764013806
verified: false
- type: cos_sim_spearman
value: 85.46085808849622
verified: false
- type: euclidean_pearson
value: 83.70449639870063
verified: false
- type: euclidean_spearman
value: 85.46159013076233
verified: false
- type: manhattan_pearson
value: 83.95259510313929
verified: false
- type: manhattan_spearman
value: 85.8029724659458
verified: false
- task:
type: Summarization
dataset:
name: MTEB SummEvalFr
type: lyon-nlp/summarization-summeval-fr-p2p
config: default
split: test
revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
metrics:
- type: cos_sim_pearson
value: 32.61063271753325
verified: false
- type: cos_sim_spearman
value: 31.454589417353603
verified: false
- type: dot_pearson
value: 32.6106288643431
verified: false
- type: dot_spearman
value: 31.454589417353603
verified: false
- task:
type: Reranking
dataset:
name: MTEB SyntecReranking
type: lyon-nlp/mteb-fr-reranking-syntec-s2p
config: default
split: test
revision: b205c5084a0934ce8af14338bf03feb19499c84d
metrics:
- type: map
value: 84.31666666666666
verified: false
- type: mrr
value: 84.31666666666666
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SyntecRetrieval
type: lyon-nlp/mteb-fr-retrieval-syntec-s2p
config: default
split: test
revision: 77f7e271bf4a92b24fce5119f3486b583ca016ff
metrics:
- type: map_at_1
value: 63
verified: false
- type: map_at_10
value: 73.471
verified: false
- type: map_at_100
value: 73.87
verified: false
- type: map_at_1000
value: 73.87
verified: false
- type: map_at_3
value: 70.5
verified: false
- type: map_at_5
value: 73.05
verified: false
- type: mrr_at_1
value: 63
verified: false
- type: mrr_at_10
value: 73.471
verified: false
- type: mrr_at_100
value: 73.87
verified: false
- type: mrr_at_1000
value: 73.87
verified: false
- type: mrr_at_3
value: 70.5
verified: false
- type: mrr_at_5
value: 73.05
verified: false
- type: ndcg_at_1
value: 63
verified: false
- type: ndcg_at_10
value: 78.255
verified: false
- type: ndcg_at_100
value: 79.88
verified: false
- type: ndcg_at_1000
value: 79.88
verified: false
- type: ndcg_at_3
value: 72.702
verified: false
- type: ndcg_at_5
value: 77.264
verified: false
- type: precision_at_1
value: 63
verified: false
- type: precision_at_10
value: 9.3
verified: false
- type: precision_at_100
value: 1
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 26.333000000000002
verified: false
- type: precision_at_5
value: 18
verified: false
- type: recall_at_1
value: 63
verified: false
- type: recall_at_10
value: 93
verified: false
- type: recall_at_100
value: 100
verified: false
- type: recall_at_1000
value: 100
verified: false
- type: recall_at_3
value: 79
verified: false
- type: recall_at_5
value: 90
verified: false
- task:
type: Retrieval
dataset:
name: MTEB XPQARetrieval (fr)
type: jinaai/xpqa
config: fr
split: test
revision: c99d599f0a6ab9b85b065da6f9d94f9cf731679f
metrics:
- type: map_at_1
value: 40.338
verified: false
- type: map_at_10
value: 61.927
verified: false
- type: map_at_100
value: 63.361999999999995
verified: false
- type: map_at_1000
value: 63.405
verified: false
- type: map_at_3
value: 55.479
verified: false
- type: map_at_5
value: 59.732
verified: false
- type: mrr_at_1
value: 63.551
verified: false
- type: mrr_at_10
value: 71.006
verified: false
- type: mrr_at_100
value: 71.501
verified: false
- type: mrr_at_1000
value: 71.509
verified: false
- type: mrr_at_3
value: 69.07
verified: false
- type: mrr_at_5
value: 70.165
verified: false
- type: ndcg_at_1
value: 63.551
verified: false
- type: ndcg_at_10
value: 68.297
verified: false
- type: ndcg_at_100
value: 73.13199999999999
verified: false
- type: ndcg_at_1000
value: 73.751
verified: false
- type: ndcg_at_3
value: 62.999
verified: false
- type: ndcg_at_5
value: 64.89
verified: false
- type: precision_at_1
value: 63.551
verified: false
- type: precision_at_10
value: 15.661
verified: false
- type: precision_at_100
value: 1.9789999999999999
verified: false
- type: precision_at_1000
value: 0.207
verified: false
- type: precision_at_3
value: 38.273
verified: false
- type: precision_at_5
value: 27.61
verified: false
- type: recall_at_1
value: 40.338
verified: false
- type: recall_at_10
value: 77.267
verified: false
- type: recall_at_100
value: 95.892
verified: false
- type: recall_at_1000
value: 99.75500000000001
verified: false
- type: recall_at_3
value: 60.36
verified: false
- type: recall_at_5
value: 68.825
verified: false
- task:
type: Clustering
dataset:
name: MTEB 8TagsClustering
type: PL-MTEB/8tags-clustering
config: default
split: test
revision: None
metrics:
- type: v_measure
value: 51.36126303874126
verified: false
- task:
type: Classification
dataset:
name: MTEB AllegroReviews
type: PL-MTEB/allegro-reviews
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 67.13717693836979
verified: false
- type: f1
value: 57.27609848003782
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna-PL
type: clarin-knext/arguana-pl
config: default
split: test
revision: 63fc86750af76253e8c760fc9e534bbf24d260a2
metrics:
- type: map_at_1
value: 35.276999999999994
verified: false
- type: map_at_10
value: 51.086
verified: false
- type: map_at_100
value: 51.788000000000004
verified: false
- type: map_at_1000
value: 51.791
verified: false
- type: map_at_3
value: 46.147
verified: false
- type: map_at_5
value: 49.078
verified: false
- type: mrr_at_1
value: 35.917
verified: false
- type: mrr_at_10
value: 51.315999999999995
verified: false
- type: mrr_at_100
value: 52.018
verified: false
- type: mrr_at_1000
value: 52.022
verified: false
- type: mrr_at_3
value: 46.349000000000004
verified: false
- type: mrr_at_5
value: 49.297000000000004
verified: false
- type: ndcg_at_1
value: 35.276999999999994
verified: false
- type: ndcg_at_10
value: 59.870999999999995
verified: false
- type: ndcg_at_100
value: 62.590999999999994
verified: false
- type: ndcg_at_1000
value: 62.661
verified: false
- type: ndcg_at_3
value: 49.745
verified: false
- type: ndcg_at_5
value: 55.067
verified: false
- type: precision_at_1
value: 35.276999999999994
verified: false
- type: precision_at_10
value: 8.791
verified: false
- type: precision_at_100
value: 0.991
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 20.057
verified: false
- type: precision_at_5
value: 14.637
verified: false
- type: recall_at_1
value: 35.276999999999994
verified: false
- type: recall_at_10
value: 87.909
verified: false
- type: recall_at_100
value: 99.14699999999999
verified: false
- type: recall_at_1000
value: 99.644
verified: false
- type: recall_at_3
value: 60.171
verified: false
- type: recall_at_5
value: 73.18599999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB CBD
type: PL-MTEB/cbd
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 78.03000000000002
verified: false
- type: ap
value: 29.12548553897622
verified: false
- type: f1
value: 66.54857118886073
verified: false
- task:
type: PairClassification
dataset:
name: MTEB CDSC-E
type: PL-MTEB/cdsce-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_accuracy
value: 89
verified: false
- type: cos_sim_ap
value: 76.75437826834582
verified: false
- type: cos_sim_f1
value: 66.4850136239782
verified: false
- type: cos_sim_precision
value: 68.92655367231639
verified: false
- type: cos_sim_recall
value: 64.21052631578948
verified: false
- type: dot_accuracy
value: 89
verified: false
- type: dot_ap
value: 76.75437826834582
verified: false
- type: dot_f1
value: 66.4850136239782
verified: false
- type: dot_precision
value: 68.92655367231639
verified: false
- type: dot_recall
value: 64.21052631578948
verified: false
- type: euclidean_accuracy
value: 89
verified: false
- type: euclidean_ap
value: 76.75437826834582
verified: false
- type: euclidean_f1
value: 66.4850136239782
verified: false
- type: euclidean_precision
value: 68.92655367231639
verified: false
- type: euclidean_recall
value: 64.21052631578948
verified: false
- type: manhattan_accuracy
value: 89
verified: false
- type: manhattan_ap
value: 76.66074220647083
verified: false
- type: manhattan_f1
value: 66.47058823529412
verified: false
- type: manhattan_precision
value: 75.33333333333333
verified: false
- type: manhattan_recall
value: 59.473684210526315
verified: false
- type: max_accuracy
value: 89
verified: false
- type: max_ap
value: 76.75437826834582
verified: false
- type: max_f1
value: 66.4850136239782
verified: false
- task:
type: STS
dataset:
name: MTEB CDSC-R
type: PL-MTEB/cdscr-sts
config: default
split: test
revision: None
metrics:
- type: cos_sim_pearson
value: 93.12903172428328
verified: false
- type: cos_sim_spearman
value: 92.66381487060741
verified: false
- type: euclidean_pearson
value: 90.37278396708922
verified: false
- type: euclidean_spearman
value: 92.66381487060741
verified: false
- type: manhattan_pearson
value: 90.32503296540962
verified: false
- type: manhattan_spearman
value: 92.6902938354313
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia-PL
type: clarin-knext/dbpedia-pl
config: default
split: test
revision: 76afe41d9af165cc40999fcaa92312b8b012064a
metrics:
- type: map_at_1
value: 8.83
verified: false
- type: map_at_10
value: 18.326
verified: false
- type: map_at_100
value: 26.496
verified: false
- type: map_at_1000
value: 28.455000000000002
verified: false
- type: map_at_3
value: 12.933
verified: false
- type: map_at_5
value: 15.168000000000001
verified: false
- type: mrr_at_1
value: 66
verified: false
- type: mrr_at_10
value: 72.76700000000001
verified: false
- type: mrr_at_100
value: 73.203
verified: false
- type: mrr_at_1000
value: 73.219
verified: false
- type: mrr_at_3
value: 71.458
verified: false
- type: mrr_at_5
value: 72.246
verified: false
- type: ndcg_at_1
value: 55.375
verified: false
- type: ndcg_at_10
value: 41.3
verified: false
- type: ndcg_at_100
value: 45.891
verified: false
- type: ndcg_at_1000
value: 52.905
verified: false
- type: ndcg_at_3
value: 46.472
verified: false
- type: ndcg_at_5
value: 43.734
verified: false
- type: precision_at_1
value: 66
verified: false
- type: precision_at_10
value: 33.074999999999996
verified: false
- type: precision_at_100
value: 11.094999999999999
verified: false
- type: precision_at_1000
value: 2.374
verified: false
- type: precision_at_3
value: 48.583
verified: false
- type: precision_at_5
value: 42
verified: false
- type: recall_at_1
value: 8.83
verified: false
- type: recall_at_10
value: 22.587
verified: false
- type: recall_at_100
value: 50.61600000000001
verified: false
- type: recall_at_1000
value: 73.559
verified: false
- type: recall_at_3
value: 13.688
verified: false
- type: recall_at_5
value: 16.855
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA-PL
type: clarin-knext/fiqa-pl
config: default
split: test
revision: 2e535829717f8bf9dc829b7f911cc5bbd4e6608e
metrics:
- type: map_at_1
value: 20.587
verified: false
- type: map_at_10
value: 33.095
verified: false
- type: map_at_100
value: 35.24
verified: false
- type: map_at_1000
value: 35.429
verified: false
- type: map_at_3
value: 28.626
verified: false
- type: map_at_5
value: 31.136999999999997
verified: false
- type: mrr_at_1
value: 40.586
verified: false
- type: mrr_at_10
value: 49.033
verified: false
- type: mrr_at_100
value: 49.952999999999996
verified: false
- type: mrr_at_1000
value: 49.992
verified: false
- type: mrr_at_3
value: 46.553
verified: false
- type: mrr_at_5
value: 48.035
verified: false
- type: ndcg_at_1
value: 40.586
verified: false
- type: ndcg_at_10
value: 41.046
verified: false
- type: ndcg_at_100
value: 48.586
verified: false
- type: ndcg_at_1000
value: 51.634
verified: false
- type: ndcg_at_3
value: 36.773
verified: false
- type: ndcg_at_5
value: 38.389
verified: false
- type: precision_at_1
value: 40.586
verified: false
- type: precision_at_10
value: 11.466
verified: false
- type: precision_at_100
value: 1.909
verified: false
- type: precision_at_1000
value: 0.245
verified: false
- type: precision_at_3
value: 24.434
verified: false
- type: precision_at_5
value: 18.426000000000002
verified: false
- type: recall_at_1
value: 20.587
verified: false
- type: recall_at_10
value: 47.986000000000004
verified: false
- type: recall_at_100
value: 75.761
verified: false
- type: recall_at_1000
value: 94.065
verified: false
- type: recall_at_3
value: 33.339
verified: false
- type: recall_at_5
value: 39.765
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA-PL
type: clarin-knext/hotpotqa-pl
config: default
split: test
revision: a0bd479ac97b4ccb5bd6ce320c415d0bb4beb907
metrics:
- type: map_at_1
value: 40.878
verified: false
- type: map_at_10
value: 58.775999999999996
verified: false
- type: map_at_100
value: 59.632
verified: false
- type: map_at_1000
value: 59.707
verified: false
- type: map_at_3
value: 56.074
verified: false
- type: map_at_5
value: 57.629
verified: false
- type: mrr_at_1
value: 81.756
verified: false
- type: mrr_at_10
value: 86.117
verified: false
- type: mrr_at_100
value: 86.299
verified: false
- type: mrr_at_1000
value: 86.30600000000001
verified: false
- type: mrr_at_3
value: 85.345
verified: false
- type: mrr_at_5
value: 85.832
verified: false
- type: ndcg_at_1
value: 81.756
verified: false
- type: ndcg_at_10
value: 67.608
verified: false
- type: ndcg_at_100
value: 70.575
verified: false
- type: ndcg_at_1000
value: 71.99600000000001
verified: false
- type: ndcg_at_3
value: 63.723
verified: false
- type: ndcg_at_5
value: 65.70700000000001
verified: false
- type: precision_at_1
value: 81.756
verified: false
- type: precision_at_10
value: 13.619
verified: false
- type: precision_at_100
value: 1.5939999999999999
verified: false
- type: precision_at_1000
value: 0.178
verified: false
- type: precision_at_3
value: 39.604
verified: false
- type: precision_at_5
value: 25.332
verified: false
- type: recall_at_1
value: 40.878
verified: false
- type: recall_at_10
value: 68.096
verified: false
- type: recall_at_100
value: 79.696
verified: false
- type: recall_at_1000
value: 89.082
verified: false
- type: recall_at_3
value: 59.406000000000006
verified: false
- type: recall_at_5
value: 63.329
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MSMARCO-PL
type: clarin-knext/msmarco-pl
config: default
split: test
revision: 8634c07806d5cce3a6138e260e59b81760a0a640
metrics:
- type: map_at_1
value: 2.1839999999999997
verified: false
- type: map_at_10
value: 11.346
verified: false
- type: map_at_100
value: 30.325000000000003
verified: false
- type: map_at_1000
value: 37.806
verified: false
- type: map_at_3
value: 4.842
verified: false
- type: map_at_5
value: 6.891
verified: false
- type: mrr_at_1
value: 86.047
verified: false
- type: mrr_at_10
value: 89.14699999999999
verified: false
- type: mrr_at_100
value: 89.46600000000001
verified: false
- type: mrr_at_1000
value: 89.46600000000001
verified: false
- type: mrr_at_3
value: 89.14699999999999
verified: false
- type: mrr_at_5
value: 89.14699999999999
verified: false
- type: ndcg_at_1
value: 67.829
verified: false
- type: ndcg_at_10
value: 62.222
verified: false
- type: ndcg_at_100
value: 55.337
verified: false
- type: ndcg_at_1000
value: 64.076
verified: false
- type: ndcg_at_3
value: 68.12700000000001
verified: false
- type: ndcg_at_5
value: 64.987
verified: false
- type: precision_at_1
value: 86.047
verified: false
- type: precision_at_10
value: 69.535
verified: false
- type: precision_at_100
value: 32.93
verified: false
- type: precision_at_1000
value: 6.6049999999999995
verified: false
- type: precision_at_3
value: 79.845
verified: false
- type: precision_at_5
value: 75.349
verified: false
- type: recall_at_1
value: 2.1839999999999997
verified: false
- type: recall_at_10
value: 12.866
verified: false
- type: recall_at_100
value: 43.505
verified: false
- type: recall_at_1000
value: 72.366
verified: false
- type: recall_at_3
value: 4.947
verified: false
- type: recall_at_5
value: 7.192
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification (pl)
type: mteb/amazon_massive_intent
config: pl
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 80.75319435104238
verified: false
- type: f1
value: 77.58961444860606
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (pl)
type: mteb/amazon_massive_scenario
config: pl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 85.54472091459313
verified: false
- type: f1
value: 84.29498563572106
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NFCorpus-PL
type: clarin-knext/nfcorpus-pl
config: default
split: test
revision: 9a6f9567fda928260afed2de480d79c98bf0bec0
metrics:
- type: map_at_1
value: 4.367
verified: false
- type: map_at_10
value: 10.38
verified: false
- type: map_at_100
value: 13.516
verified: false
- type: map_at_1000
value: 14.982000000000001
verified: false
- type: map_at_3
value: 7.367
verified: false
- type: map_at_5
value: 8.59
verified: false
- type: mrr_at_1
value: 41.486000000000004
verified: false
- type: mrr_at_10
value: 48.886
verified: false
- type: mrr_at_100
value: 49.657000000000004
verified: false
- type: mrr_at_1000
value: 49.713
verified: false
- type: mrr_at_3
value: 46.904
verified: false
- type: mrr_at_5
value: 48.065000000000005
verified: false
- type: ndcg_at_1
value: 40.402
verified: false
- type: ndcg_at_10
value: 30.885
verified: false
- type: ndcg_at_100
value: 28.393
verified: false
- type: ndcg_at_1000
value: 37.428
verified: false
- type: ndcg_at_3
value: 35.394999999999996
verified: false
- type: ndcg_at_5
value: 33.391999999999996
verified: false
- type: precision_at_1
value: 41.486000000000004
verified: false
- type: precision_at_10
value: 23.437
verified: false
- type: precision_at_100
value: 7.638
verified: false
- type: precision_at_1000
value: 2.0389999999999997
verified: false
- type: precision_at_3
value: 32.817
verified: false
- type: precision_at_5
value: 28.915999999999997
verified: false
- type: recall_at_1
value: 4.367
verified: false
- type: recall_at_10
value: 14.655000000000001
verified: false
- type: recall_at_100
value: 29.665999999999997
verified: false
- type: recall_at_1000
value: 62.073
verified: false
- type: recall_at_3
value: 8.51
verified: false
- type: recall_at_5
value: 10.689
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NQ-PL
type: clarin-knext/nq-pl
config: default
split: test
revision: f171245712cf85dd4700b06bef18001578d0ca8d
metrics:
- type: map_at_1
value: 28.616000000000003
verified: false
- type: map_at_10
value: 41.626000000000005
verified: false
- type: map_at_100
value: 42.689
verified: false
- type: map_at_1000
value: 42.733
verified: false
- type: map_at_3
value: 37.729
verified: false
- type: map_at_5
value: 39.879999999999995
verified: false
- type: mrr_at_1
value: 32.068000000000005
verified: false
- type: mrr_at_10
value: 44.029
verified: false
- type: mrr_at_100
value: 44.87
verified: false
- type: mrr_at_1000
value: 44.901
verified: false
- type: mrr_at_3
value: 40.687
verified: false
- type: mrr_at_5
value: 42.625
verified: false
- type: ndcg_at_1
value: 32.068000000000005
verified: false
- type: ndcg_at_10
value: 48.449999999999996
verified: false
- type: ndcg_at_100
value: 53.13
verified: false
- type: ndcg_at_1000
value: 54.186
verified: false
- type: ndcg_at_3
value: 40.983999999999995
verified: false
- type: ndcg_at_5
value: 44.628
verified: false
- type: precision_at_1
value: 32.068000000000005
verified: false
- type: precision_at_10
value: 7.9750000000000005
verified: false
- type: precision_at_100
value: 1.061
verified: false
- type: precision_at_1000
value: 0.116
verified: false
- type: precision_at_3
value: 18.404999999999998
verified: false
- type: precision_at_5
value: 13.111
verified: false
- type: recall_at_1
value: 28.616000000000003
verified: false
- type: recall_at_10
value: 66.956
verified: false
- type: recall_at_100
value: 87.657
verified: false
- type: recall_at_1000
value: 95.548
verified: false
- type: recall_at_3
value: 47.453
verified: false
- type: recall_at_5
value: 55.87800000000001
verified: false
- task:
type: Classification
dataset:
name: MTEB PAC
type: laugustyniak/abusive-clauses-pl
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 69.04141326382856
verified: false
- type: ap
value: 77.47589122111044
verified: false
- type: f1
value: 66.6332277374775
verified: false
- task:
type: PairClassification
dataset:
name: MTEB PPC
type: PL-MTEB/ppc-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_accuracy
value: 86.4
verified: false
- type: cos_sim_ap
value: 94.1044939667201
verified: false
- type: cos_sim_f1
value: 88.78048780487805
verified: false
- type: cos_sim_precision
value: 87.22044728434504
verified: false
- type: cos_sim_recall
value: 90.39735099337747
verified: false
- type: dot_accuracy
value: 86.4
verified: false
- type: dot_ap
value: 94.1044939667201
verified: false
- type: dot_f1
value: 88.78048780487805
verified: false
- type: dot_precision
value: 87.22044728434504
verified: false
- type: dot_recall
value: 90.39735099337747
verified: false
- type: euclidean_accuracy
value: 86.4
verified: false
- type: euclidean_ap
value: 94.1044939667201
verified: false
- type: euclidean_f1
value: 88.78048780487805
verified: false
- type: euclidean_precision
value: 87.22044728434504
verified: false
- type: euclidean_recall
value: 90.39735099337747
verified: false
- type: manhattan_accuracy
value: 86.4
verified: false
- type: manhattan_ap
value: 94.11438365697387
verified: false
- type: manhattan_f1
value: 88.77968877968877
verified: false
- type: manhattan_precision
value: 87.84440842787681
verified: false
- type: manhattan_recall
value: 89.73509933774835
verified: false
- type: max_accuracy
value: 86.4
verified: false
- type: max_ap
value: 94.11438365697387
verified: false
- type: max_f1
value: 88.78048780487805
verified: false
- task:
type: PairClassification
dataset:
name: MTEB PSC
type: PL-MTEB/psc-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_accuracy
value: 97.86641929499072
verified: false
- type: cos_sim_ap
value: 99.36904211868182
verified: false
- type: cos_sim_f1
value: 96.56203288490283
verified: false
- type: cos_sim_precision
value: 94.72140762463343
verified: false
- type: cos_sim_recall
value: 98.47560975609755
verified: false
- type: dot_accuracy
value: 97.86641929499072
verified: false
- type: dot_ap
value: 99.36904211868183
verified: false
- type: dot_f1
value: 96.56203288490283
verified: false
- type: dot_precision
value: 94.72140762463343
verified: false
- type: dot_recall
value: 98.47560975609755
verified: false
- type: euclidean_accuracy
value: 97.86641929499072
verified: false
- type: euclidean_ap
value: 99.36904211868183
verified: false
- type: euclidean_f1
value: 96.56203288490283
verified: false
- type: euclidean_precision
value: 94.72140762463343
verified: false
- type: euclidean_recall
value: 98.47560975609755
verified: false
- type: manhattan_accuracy
value: 98.14471243042672
verified: false
- type: manhattan_ap
value: 99.43359540492416
verified: false
- type: manhattan_f1
value: 96.98795180722892
verified: false
- type: manhattan_precision
value: 95.83333333333334
verified: false
- type: manhattan_recall
value: 98.17073170731707
verified: false
- type: max_accuracy
value: 98.14471243042672
verified: false
- type: max_ap
value: 99.43359540492416
verified: false
- type: max_f1
value: 96.98795180722892
verified: false
- task:
type: Classification
dataset:
name: MTEB PolEmo2.0-IN
type: PL-MTEB/polemo2_in
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 89.39058171745152
verified: false
- type: f1
value: 86.8552093529568
verified: false
- task:
type: Classification
dataset:
name: MTEB PolEmo2.0-OUT
type: PL-MTEB/polemo2_out
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 74.97975708502024
verified: false
- type: f1
value: 58.73081628832407
verified: false
- task:
type: Retrieval
dataset:
name: MTEB Quora-PL
type: clarin-knext/quora-pl
config: default
split: test
revision: 0be27e93455051e531182b85e85e425aba12e9d4
metrics:
- type: map_at_1
value: 64.917
verified: false
- type: map_at_10
value: 78.74600000000001
verified: false
- type: map_at_100
value: 79.501
verified: false
- type: map_at_1000
value: 79.524
verified: false
- type: map_at_3
value: 75.549
verified: false
- type: map_at_5
value: 77.495
verified: false
- type: mrr_at_1
value: 74.9
verified: false
- type: mrr_at_10
value: 82.112
verified: false
- type: mrr_at_100
value: 82.314
verified: false
- type: mrr_at_1000
value: 82.317
verified: false
- type: mrr_at_3
value: 80.745
verified: false
- type: mrr_at_5
value: 81.607
verified: false
- type: ndcg_at_1
value: 74.83999999999999
verified: false
- type: ndcg_at_10
value: 83.214
verified: false
- type: ndcg_at_100
value: 84.997
verified: false
- type: ndcg_at_1000
value: 85.207
verified: false
- type: ndcg_at_3
value: 79.547
verified: false
- type: ndcg_at_5
value: 81.46600000000001
verified: false
- type: precision_at_1
value: 74.83999999999999
verified: false
- type: precision_at_10
value: 12.822
verified: false
- type: precision_at_100
value: 1.506
verified: false
- type: precision_at_1000
value: 0.156
verified: false
- type: precision_at_3
value: 34.903
verified: false
- type: precision_at_5
value: 23.16
verified: false
- type: recall_at_1
value: 64.917
verified: false
- type: recall_at_10
value: 92.27199999999999
verified: false
- type: recall_at_100
value: 98.715
verified: false
- type: recall_at_1000
value: 99.854
verified: false
- type: recall_at_3
value: 82.04599999999999
verified: false
- type: recall_at_5
value: 87.2
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS-PL
type: clarin-knext/scidocs-pl
config: default
split: test
revision: 45452b03f05560207ef19149545f168e596c9337
metrics:
- type: map_at_1
value: 3.51
verified: false
- type: map_at_10
value: 9.046999999999999
verified: false
- type: map_at_100
value: 10.823
verified: false
- type: map_at_1000
value: 11.144
verified: false
- type: map_at_3
value: 6.257
verified: false
- type: map_at_5
value: 7.648000000000001
verified: false
- type: mrr_at_1
value: 17.299999999999997
verified: false
- type: mrr_at_10
value: 27.419
verified: false
- type: mrr_at_100
value: 28.618
verified: false
- type: mrr_at_1000
value: 28.685
verified: false
- type: mrr_at_3
value: 23.817
verified: false
- type: mrr_at_5
value: 25.927
verified: false
- type: ndcg_at_1
value: 17.299999999999997
verified: false
- type: ndcg_at_10
value: 16.084
verified: false
- type: ndcg_at_100
value: 23.729
verified: false
- type: ndcg_at_1000
value: 29.476999999999997
verified: false
- type: ndcg_at_3
value: 14.327000000000002
verified: false
- type: ndcg_at_5
value: 13.017999999999999
verified: false
- type: precision_at_1
value: 17.299999999999997
verified: false
- type: precision_at_10
value: 8.63
verified: false
- type: precision_at_100
value: 1.981
verified: false
- type: precision_at_1000
value: 0.336
verified: false
- type: precision_at_3
value: 13.4
verified: false
- type: precision_at_5
value: 11.700000000000001
verified: false
- type: recall_at_1
value: 3.51
verified: false
- type: recall_at_10
value: 17.518
verified: false
- type: recall_at_100
value: 40.275
verified: false
- type: recall_at_1000
value: 68.203
verified: false
- type: recall_at_3
value: 8.155
verified: false
- type: recall_at_5
value: 11.875
verified: false
- task:
type: PairClassification
dataset:
name: MTEB SICK-E-PL
type: PL-MTEB/sicke-pl-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_accuracy
value: 86.30248675091724
verified: false
- type: cos_sim_ap
value: 83.6756734006714
verified: false
- type: cos_sim_f1
value: 74.97367497367497
verified: false
- type: cos_sim_precision
value: 73.91003460207612
verified: false
- type: cos_sim_recall
value: 76.06837606837607
verified: false
- type: dot_accuracy
value: 86.30248675091724
verified: false
- type: dot_ap
value: 83.6756734006714
verified: false
- type: dot_f1
value: 74.97367497367497
verified: false
- type: dot_precision
value: 73.91003460207612
verified: false
- type: dot_recall
value: 76.06837606837607
verified: false
- type: euclidean_accuracy
value: 86.30248675091724
verified: false
- type: euclidean_ap
value: 83.67566984333091
verified: false
- type: euclidean_f1
value: 74.97367497367497
verified: false
- type: euclidean_precision
value: 73.91003460207612
verified: false
- type: euclidean_recall
value: 76.06837606837607
verified: false
- type: manhattan_accuracy
value: 86.28210354667753
verified: false
- type: manhattan_ap
value: 83.64216119130171
verified: false
- type: manhattan_f1
value: 74.92152075340078
verified: false
- type: manhattan_precision
value: 73.4107997265892
verified: false
- type: manhattan_recall
value: 76.49572649572649
verified: false
- type: max_accuracy
value: 86.30248675091724
verified: false
- type: max_ap
value: 83.6756734006714
verified: false
- type: max_f1
value: 74.97367497367497
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R-PL
type: PL-MTEB/sickr-pl-sts
config: default
split: test
revision: None
metrics:
- type: cos_sim_pearson
value: 82.23295940859121
verified: false
- type: cos_sim_spearman
value: 78.89329160768719
verified: false
- type: euclidean_pearson
value: 79.56019107076818
verified: false
- type: euclidean_spearman
value: 78.89330209904084
verified: false
- type: manhattan_pearson
value: 79.76098513973719
verified: false
- type: manhattan_spearman
value: 79.05490162570123
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (pl)
type: mteb/sts22-crosslingual-sts
config: pl
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 37.732606308062486
verified: false
- type: cos_sim_spearman
value: 41.01645667030284
verified: false
- type: euclidean_pearson
value: 26.61722556367085
verified: false
- type: euclidean_spearman
value: 41.01645667030284
verified: false
- type: manhattan_pearson
value: 26.60917378970807
verified: false
- type: manhattan_spearman
value: 41.51335727617614
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact-PL
type: clarin-knext/scifact-pl
config: default
split: test
revision: 47932a35f045ef8ed01ba82bf9ff67f6e109207e
metrics:
- type: map_at_1
value: 54.31700000000001
verified: false
- type: map_at_10
value: 65.564
verified: false
- type: map_at_100
value: 66.062
verified: false
- type: map_at_1000
value: 66.08699999999999
verified: false
- type: map_at_3
value: 62.592999999999996
verified: false
- type: map_at_5
value: 63.888
verified: false
- type: mrr_at_1
value: 56.99999999999999
verified: false
- type: mrr_at_10
value: 66.412
verified: false
- type: mrr_at_100
value: 66.85900000000001
verified: false
- type: mrr_at_1000
value: 66.88
verified: false
- type: mrr_at_3
value: 64.22200000000001
verified: false
- type: mrr_at_5
value: 65.206
verified: false
- type: ndcg_at_1
value: 56.99999999999999
verified: false
- type: ndcg_at_10
value: 70.577
verified: false
- type: ndcg_at_100
value: 72.879
verified: false
- type: ndcg_at_1000
value: 73.45
verified: false
- type: ndcg_at_3
value: 65.5
verified: false
- type: ndcg_at_5
value: 67.278
verified: false
- type: precision_at_1
value: 56.99999999999999
verified: false
- type: precision_at_10
value: 9.667
verified: false
- type: precision_at_100
value: 1.083
verified: false
- type: precision_at_1000
value: 0.11299999999999999
verified: false
- type: precision_at_3
value: 26
verified: false
- type: precision_at_5
value: 16.933
verified: false
- type: recall_at_1
value: 54.31700000000001
verified: false
- type: recall_at_10
value: 85.056
verified: false
- type: recall_at_100
value: 95.667
verified: false
- type: recall_at_1000
value: 100
verified: false
- type: recall_at_3
value: 71
verified: false
- type: recall_at_5
value: 75.672
verified: false
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID-PL
type: clarin-knext/trec-covid-pl
config: default
split: test
revision: 81bcb408f33366c2a20ac54adafad1ae7e877fdd
metrics:
- type: map_at_1
value: 0.245
verified: false
- type: map_at_10
value: 2.051
verified: false
- type: map_at_100
value: 12.009
verified: false
- type: map_at_1000
value: 27.448
verified: false
- type: map_at_3
value: 0.721
verified: false
- type: map_at_5
value: 1.13
verified: false
- type: mrr_at_1
value: 88
verified: false
- type: mrr_at_10
value: 93
verified: false
- type: mrr_at_100
value: 93
verified: false
- type: mrr_at_1000
value: 93
verified: false
- type: mrr_at_3
value: 93
verified: false
- type: mrr_at_5
value: 93
verified: false
- type: ndcg_at_1
value: 85
verified: false
- type: ndcg_at_10
value: 80.303
verified: false
- type: ndcg_at_100
value: 61.23499999999999
verified: false
- type: ndcg_at_1000
value: 52.978
verified: false
- type: ndcg_at_3
value: 84.419
verified: false
- type: ndcg_at_5
value: 82.976
verified: false
- type: precision_at_1
value: 88
verified: false
- type: precision_at_10
value: 83.39999999999999
verified: false
- type: precision_at_100
value: 61.96
verified: false
- type: precision_at_1000
value: 22.648
verified: false
- type: precision_at_3
value: 89.333
verified: false
- type: precision_at_5
value: 87.2
verified: false
- type: recall_at_1
value: 0.245
verified: false
- type: recall_at_10
value: 2.193
verified: false
- type: recall_at_100
value: 14.938
verified: false
- type: recall_at_1000
value: 48.563
verified: false
- type: recall_at_3
value: 0.738
verified: false
- type: recall_at_5
value: 1.173
verified: false | null | null | null | null | [
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"config_sentence_transformers.json",
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"model-00001-of-00007.safetensors",
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"modeling_qwen.py",
"modules.json",
"scripts/eval_mteb.py",
"sentence_bert_config.json",
"special_tokens_map.json",
"tokenization_qwen.py",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | null | null | null | 2025-03-24T09:43:55+00:00 | license: apache-2.0
tags:
- mteb
- sentence-transformers
- transformers
- Qwen2
- sentence-similarity
model-index:
- name: gte-qwen2-7B-instruct
results:
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactual
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 91.31343283582089
verified: false
- type: ap
value: 67.64251402604096
verified: false
- type: f1
value: 87.53372530755692
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonPolarityClassification
type: mteb/amazon_polarity
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 97.497825
verified: false
- type: ap
value: 96.30329547047529
verified: false
- type: f1
value: 97.49769793778039
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (en)
type: mteb/amazon_reviews_multi
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 62.564
verified: false
- type: f1
value: 60.975777935041066
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna
type: mteb/arguana
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: map_at_1
value: 36.486000000000004
verified: false
- type: map_at_10
value: 54.842
verified: false
- type: map_at_100
value: 55.206999999999994
verified: false
- type: map_at_1000
value: 55.206999999999994
verified: false
- type: map_at_3
value: 49.893
verified: false
- type: map_at_5
value: 53.105000000000004
verified: false
- type: mrr_at_1
value: 37.34
verified: false
- type: mrr_at_10
value: 55.143
verified: false
- type: mrr_at_100
value: 55.509
verified: false
- type: mrr_at_1000
value: 55.509
verified: false
- type: mrr_at_3
value: 50.212999999999994
verified: false
- type: mrr_at_5
value: 53.432
verified: false
- type: ndcg_at_1
value: 36.486000000000004
verified: false
- type: ndcg_at_10
value: 64.273
verified: false
- type: ndcg_at_100
value: 65.66199999999999
verified: false
- type: ndcg_at_1000
value: 65.66199999999999
verified: false
- type: ndcg_at_3
value: 54.352999999999994
verified: false
- type: ndcg_at_5
value: 60.131
verified: false
- type: precision_at_1
value: 36.486000000000004
verified: false
- type: precision_at_10
value: 9.395000000000001
verified: false
- type: precision_at_100
value: 0.996
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 22.428
verified: false
- type: precision_at_5
value: 16.259
verified: false
- type: recall_at_1
value: 36.486000000000004
verified: false
- type: recall_at_10
value: 93.95400000000001
verified: false
- type: recall_at_100
value: 99.644
verified: false
- type: recall_at_1000
value: 99.644
verified: false
- type: recall_at_3
value: 67.283
verified: false
- type: recall_at_5
value: 81.294
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringP2P
type: mteb/arxiv-clustering-p2p
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 56.461169803700564
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringS2S
type: mteb/arxiv-clustering-s2s
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 51.73600434466286
verified: false
- task:
type: Reranking
dataset:
name: MTEB AskUbuntuDupQuestions
type: mteb/askubuntudupquestions-reranking
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 67.57827065898053
verified: false
- type: mrr
value: 79.08136569493911
verified: false
- task:
type: STS
dataset:
name: MTEB BIOSSES
type: mteb/biosses-sts
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_pearson
value: 83.53324575999243
verified: false
- type: cos_sim_spearman
value: 81.37173362822374
verified: false
- type: euclidean_pearson
value: 82.19243335103444
verified: false
- type: euclidean_spearman
value: 81.33679307304334
verified: false
- type: manhattan_pearson
value: 82.38752665975699
verified: false
- type: manhattan_spearman
value: 81.31510583189689
verified: false
- task:
type: Classification
dataset:
name: MTEB Banking77Classification
type: mteb/banking77
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 87.56818181818181
verified: false
- type: f1
value: 87.25826722019875
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringP2P
type: mteb/biorxiv-clustering-p2p
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 50.09239610327673
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringS2S
type: mteb/biorxiv-clustering-s2s
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 46.64733054606282
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackAndroidRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: map_at_1
value: 33.997
verified: false
- type: map_at_10
value: 48.176
verified: false
- type: map_at_100
value: 49.82
verified: false
- type: map_at_1000
value: 49.924
verified: false
- type: map_at_3
value: 43.626
verified: false
- type: map_at_5
value: 46.275
verified: false
- type: mrr_at_1
value: 42.059999999999995
verified: false
- type: mrr_at_10
value: 53.726
verified: false
- type: mrr_at_100
value: 54.398
verified: false
- type: mrr_at_1000
value: 54.416
verified: false
- type: mrr_at_3
value: 50.714999999999996
verified: false
- type: mrr_at_5
value: 52.639
verified: false
- type: ndcg_at_1
value: 42.059999999999995
verified: false
- type: ndcg_at_10
value: 55.574999999999996
verified: false
- type: ndcg_at_100
value: 60.744
verified: false
- type: ndcg_at_1000
value: 61.85699999999999
verified: false
- type: ndcg_at_3
value: 49.363
verified: false
- type: ndcg_at_5
value: 52.44
verified: false
- type: precision_at_1
value: 42.059999999999995
verified: false
- type: precision_at_10
value: 11.101999999999999
verified: false
- type: precision_at_100
value: 1.73
verified: false
- type: precision_at_1000
value: 0.218
verified: false
- type: precision_at_3
value: 24.464
verified: false
- type: precision_at_5
value: 18.026
verified: false
- type: recall_at_1
value: 33.997
verified: false
- type: recall_at_10
value: 70.35900000000001
verified: false
- type: recall_at_100
value: 91.642
verified: false
- type: recall_at_1000
value: 97.977
verified: false
- type: recall_at_3
value: 52.76
verified: false
- type: recall_at_5
value: 61.148
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackEnglishRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: map_at_1
value: 35.884
verified: false
- type: map_at_10
value: 48.14
verified: false
- type: map_at_100
value: 49.5
verified: false
- type: map_at_1000
value: 49.63
verified: false
- type: map_at_3
value: 44.646
verified: false
- type: map_at_5
value: 46.617999999999995
verified: false
- type: mrr_at_1
value: 44.458999999999996
verified: false
- type: mrr_at_10
value: 53.751000000000005
verified: false
- type: mrr_at_100
value: 54.37800000000001
verified: false
- type: mrr_at_1000
value: 54.415
verified: false
- type: mrr_at_3
value: 51.815
verified: false
- type: mrr_at_5
value: 52.882
verified: false
- type: ndcg_at_1
value: 44.458999999999996
verified: false
- type: ndcg_at_10
value: 54.157
verified: false
- type: ndcg_at_100
value: 58.362
verified: false
- type: ndcg_at_1000
value: 60.178
verified: false
- type: ndcg_at_3
value: 49.661
verified: false
- type: ndcg_at_5
value: 51.74999999999999
verified: false
- type: precision_at_1
value: 44.458999999999996
verified: false
- type: precision_at_10
value: 10.248
verified: false
- type: precision_at_100
value: 1.5890000000000002
verified: false
- type: precision_at_1000
value: 0.207
verified: false
- type: precision_at_3
value: 23.928
verified: false
- type: precision_at_5
value: 16.878999999999998
verified: false
- type: recall_at_1
value: 35.884
verified: false
- type: recall_at_10
value: 64.798
verified: false
- type: recall_at_100
value: 82.345
verified: false
- type: recall_at_1000
value: 93.267
verified: false
- type: recall_at_3
value: 51.847
verified: false
- type: recall_at_5
value: 57.601
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGamingRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: map_at_1
value: 39.383
verified: false
- type: map_at_10
value: 53.714
verified: false
- type: map_at_100
value: 54.838
verified: false
- type: map_at_1000
value: 54.87800000000001
verified: false
- type: map_at_3
value: 50.114999999999995
verified: false
- type: map_at_5
value: 52.153000000000006
verified: false
- type: mrr_at_1
value: 45.016
verified: false
- type: mrr_at_10
value: 56.732000000000006
verified: false
- type: mrr_at_100
value: 57.411
verified: false
- type: mrr_at_1000
value: 57.431
verified: false
- type: mrr_at_3
value: 54.044000000000004
verified: false
- type: mrr_at_5
value: 55.639
verified: false
- type: ndcg_at_1
value: 45.016
verified: false
- type: ndcg_at_10
value: 60.228
verified: false
- type: ndcg_at_100
value: 64.277
verified: false
- type: ndcg_at_1000
value: 65.07
verified: false
- type: ndcg_at_3
value: 54.124
verified: false
- type: ndcg_at_5
value: 57.147000000000006
verified: false
- type: precision_at_1
value: 45.016
verified: false
- type: precision_at_10
value: 9.937
verified: false
- type: precision_at_100
value: 1.288
verified: false
- type: precision_at_1000
value: 0.13899999999999998
verified: false
- type: precision_at_3
value: 24.471999999999998
verified: false
- type: precision_at_5
value: 16.991
verified: false
- type: recall_at_1
value: 39.383
verified: false
- type: recall_at_10
value: 76.175
verified: false
- type: recall_at_100
value: 93.02
verified: false
- type: recall_at_1000
value: 98.60900000000001
verified: false
- type: recall_at_3
value: 60.265
verified: false
- type: recall_at_5
value: 67.46600000000001
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGisRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: map_at_1
value: 27.426000000000002
verified: false
- type: map_at_10
value: 37.397000000000006
verified: false
- type: map_at_100
value: 38.61
verified: false
- type: map_at_1000
value: 38.678000000000004
verified: false
- type: map_at_3
value: 34.150999999999996
verified: false
- type: map_at_5
value: 36.137
verified: false
- type: mrr_at_1
value: 29.944
verified: false
- type: mrr_at_10
value: 39.654
verified: false
- type: mrr_at_100
value: 40.638000000000005
verified: false
- type: mrr_at_1000
value: 40.691
verified: false
- type: mrr_at_3
value: 36.817
verified: false
- type: mrr_at_5
value: 38.524
verified: false
- type: ndcg_at_1
value: 29.944
verified: false
- type: ndcg_at_10
value: 43.094
verified: false
- type: ndcg_at_100
value: 48.789
verified: false
- type: ndcg_at_1000
value: 50.339999999999996
verified: false
- type: ndcg_at_3
value: 36.984
verified: false
- type: ndcg_at_5
value: 40.248
verified: false
- type: precision_at_1
value: 29.944
verified: false
- type: precision_at_10
value: 6.78
verified: false
- type: precision_at_100
value: 1.024
verified: false
- type: precision_at_1000
value: 0.11800000000000001
verified: false
- type: precision_at_3
value: 15.895000000000001
verified: false
- type: precision_at_5
value: 11.39
verified: false
- type: recall_at_1
value: 27.426000000000002
verified: false
- type: recall_at_10
value: 58.464000000000006
verified: false
- type: recall_at_100
value: 84.193
verified: false
- type: recall_at_1000
value: 95.52000000000001
verified: false
- type: recall_at_3
value: 42.172
verified: false
- type: recall_at_5
value: 50.101
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackMathematicaRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: map_at_1
value: 19.721
verified: false
- type: map_at_10
value: 31.604
verified: false
- type: map_at_100
value: 32.972
verified: false
- type: map_at_1000
value: 33.077
verified: false
- type: map_at_3
value: 27.218999999999998
verified: false
- type: map_at_5
value: 29.53
verified: false
- type: mrr_at_1
value: 25
verified: false
- type: mrr_at_10
value: 35.843
verified: false
- type: mrr_at_100
value: 36.785000000000004
verified: false
- type: mrr_at_1000
value: 36.842000000000006
verified: false
- type: mrr_at_3
value: 32.193
verified: false
- type: mrr_at_5
value: 34.264
verified: false
- type: ndcg_at_1
value: 25
verified: false
- type: ndcg_at_10
value: 38.606
verified: false
- type: ndcg_at_100
value: 44.272
verified: false
- type: ndcg_at_1000
value: 46.527
verified: false
- type: ndcg_at_3
value: 30.985000000000003
verified: false
- type: ndcg_at_5
value: 34.43
verified: false
- type: precision_at_1
value: 25
verified: false
- type: precision_at_10
value: 7.811
verified: false
- type: precision_at_100
value: 1.203
verified: false
- type: precision_at_1000
value: 0.15
verified: false
- type: precision_at_3
value: 15.423
verified: false
- type: precision_at_5
value: 11.791
verified: false
- type: recall_at_1
value: 19.721
verified: false
- type: recall_at_10
value: 55.625
verified: false
- type: recall_at_100
value: 79.34400000000001
verified: false
- type: recall_at_1000
value: 95.208
verified: false
- type: recall_at_3
value: 35.19
verified: false
- type: recall_at_5
value: 43.626
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackPhysicsRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: map_at_1
value: 33.784
verified: false
- type: map_at_10
value: 47.522
verified: false
- type: map_at_100
value: 48.949999999999996
verified: false
- type: map_at_1000
value: 49.038
verified: false
- type: map_at_3
value: 43.284
verified: false
- type: map_at_5
value: 45.629
verified: false
- type: mrr_at_1
value: 41.482
verified: false
- type: mrr_at_10
value: 52.830999999999996
verified: false
- type: mrr_at_100
value: 53.559999999999995
verified: false
- type: mrr_at_1000
value: 53.588
verified: false
- type: mrr_at_3
value: 50.016000000000005
verified: false
- type: mrr_at_5
value: 51.614000000000004
verified: false
- type: ndcg_at_1
value: 41.482
verified: false
- type: ndcg_at_10
value: 54.569
verified: false
- type: ndcg_at_100
value: 59.675999999999995
verified: false
- type: ndcg_at_1000
value: 60.989000000000004
verified: false
- type: ndcg_at_3
value: 48.187000000000005
verified: false
- type: ndcg_at_5
value: 51.183
verified: false
- type: precision_at_1
value: 41.482
verified: false
- type: precision_at_10
value: 10.221
verified: false
- type: precision_at_100
value: 1.486
verified: false
- type: precision_at_1000
value: 0.17500000000000002
verified: false
- type: precision_at_3
value: 23.548
verified: false
- type: precision_at_5
value: 16.805
verified: false
- type: recall_at_1
value: 33.784
verified: false
- type: recall_at_10
value: 69.798
verified: false
- type: recall_at_100
value: 90.098
verified: false
- type: recall_at_1000
value: 98.176
verified: false
- type: recall_at_3
value: 52.127
verified: false
- type: recall_at_5
value: 59.861
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackProgrammersRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: map_at_1
value: 28.038999999999998
verified: false
- type: map_at_10
value: 41.904
verified: false
- type: map_at_100
value: 43.36
verified: false
- type: map_at_1000
value: 43.453
verified: false
- type: map_at_3
value: 37.785999999999994
verified: false
- type: map_at_5
value: 40.105000000000004
verified: false
- type: mrr_at_1
value: 35.046
verified: false
- type: mrr_at_10
value: 46.926
verified: false
- type: mrr_at_100
value: 47.815000000000005
verified: false
- type: mrr_at_1000
value: 47.849000000000004
verified: false
- type: mrr_at_3
value: 44.273
verified: false
- type: mrr_at_5
value: 45.774
verified: false
- type: ndcg_at_1
value: 35.046
verified: false
- type: ndcg_at_10
value: 48.937000000000005
verified: false
- type: ndcg_at_100
value: 54.544000000000004
verified: false
- type: ndcg_at_1000
value: 56.069
verified: false
- type: ndcg_at_3
value: 42.858000000000004
verified: false
- type: ndcg_at_5
value: 45.644
verified: false
- type: precision_at_1
value: 35.046
verified: false
- type: precision_at_10
value: 9.452
verified: false
- type: precision_at_100
value: 1.429
verified: false
- type: precision_at_1000
value: 0.173
verified: false
- type: precision_at_3
value: 21.346999999999998
verified: false
- type: precision_at_5
value: 15.342
verified: false
- type: recall_at_1
value: 28.038999999999998
verified: false
- type: recall_at_10
value: 64.59700000000001
verified: false
- type: recall_at_100
value: 87.735
verified: false
- type: recall_at_1000
value: 97.41300000000001
verified: false
- type: recall_at_3
value: 47.368
verified: false
- type: recall_at_5
value: 54.93900000000001
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: map_at_1
value: 28.17291666666667
verified: false
- type: map_at_10
value: 40.025749999999995
verified: false
- type: map_at_100
value: 41.39208333333333
verified: false
- type: map_at_1000
value: 41.499249999999996
verified: false
- type: map_at_3
value: 36.347
verified: false
- type: map_at_5
value: 38.41391666666667
verified: false
- type: mrr_at_1
value: 33.65925
verified: false
- type: mrr_at_10
value: 44.085499999999996
verified: false
- type: mrr_at_100
value: 44.94116666666667
verified: false
- type: mrr_at_1000
value: 44.9855
verified: false
- type: mrr_at_3
value: 41.2815
verified: false
- type: mrr_at_5
value: 42.91491666666666
verified: false
- type: ndcg_at_1
value: 33.65925
verified: false
- type: ndcg_at_10
value: 46.430833333333325
verified: false
- type: ndcg_at_100
value: 51.761
verified: false
- type: ndcg_at_1000
value: 53.50899999999999
verified: false
- type: ndcg_at_3
value: 40.45133333333333
verified: false
- type: ndcg_at_5
value: 43.31483333333334
verified: false
- type: precision_at_1
value: 33.65925
verified: false
- type: precision_at_10
value: 8.4995
verified: false
- type: precision_at_100
value: 1.3210000000000004
verified: false
- type: precision_at_1000
value: 0.16591666666666666
verified: false
- type: precision_at_3
value: 19.165083333333335
verified: false
- type: precision_at_5
value: 13.81816666666667
verified: false
- type: recall_at_1
value: 28.17291666666667
verified: false
- type: recall_at_10
value: 61.12624999999999
verified: false
- type: recall_at_100
value: 83.97266666666667
verified: false
- type: recall_at_1000
value: 95.66550000000001
verified: false
- type: recall_at_3
value: 44.661249999999995
verified: false
- type: recall_at_5
value: 51.983333333333334
verified: false
- type: map_at_1
value: 17.936
verified: false
- type: map_at_10
value: 27.399
verified: false
- type: map_at_100
value: 28.632
verified: false
- type: map_at_1000
value: 28.738000000000003
verified: false
- type: map_at_3
value: 24.456
verified: false
- type: map_at_5
value: 26.06
verified: false
- type: mrr_at_1
value: 19.224
verified: false
- type: mrr_at_10
value: 28.998
verified: false
- type: mrr_at_100
value: 30.11
verified: false
- type: mrr_at_1000
value: 30.177
verified: false
- type: mrr_at_3
value: 26.247999999999998
verified: false
- type: mrr_at_5
value: 27.708
verified: false
- type: ndcg_at_1
value: 19.224
verified: false
- type: ndcg_at_10
value: 32.911
verified: false
- type: ndcg_at_100
value: 38.873999999999995
verified: false
- type: ndcg_at_1000
value: 41.277
verified: false
- type: ndcg_at_3
value: 27.142
verified: false
- type: ndcg_at_5
value: 29.755
verified: false
- type: precision_at_1
value: 19.224
verified: false
- type: precision_at_10
value: 5.6930000000000005
verified: false
- type: precision_at_100
value: 0.9259999999999999
verified: false
- type: precision_at_1000
value: 0.126
verified: false
- type: precision_at_3
value: 12.138
verified: false
- type: precision_at_5
value: 8.909
verified: false
- type: recall_at_1
value: 17.936
verified: false
- type: recall_at_10
value: 48.096
verified: false
- type: recall_at_100
value: 75.389
verified: false
- type: recall_at_1000
value: 92.803
verified: false
- type: recall_at_3
value: 32.812999999999995
verified: false
- type: recall_at_5
value: 38.851
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackStatsRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: map_at_1
value: 24.681
verified: false
- type: map_at_10
value: 34.892
verified: false
- type: map_at_100
value: 35.996
verified: false
- type: map_at_1000
value: 36.083
verified: false
- type: map_at_3
value: 31.491999999999997
verified: false
- type: map_at_5
value: 33.632
verified: false
- type: mrr_at_1
value: 28.528
verified: false
- type: mrr_at_10
value: 37.694
verified: false
- type: mrr_at_100
value: 38.613
verified: false
- type: mrr_at_1000
value: 38.668
verified: false
- type: mrr_at_3
value: 34.714
verified: false
- type: mrr_at_5
value: 36.616
verified: false
- type: ndcg_at_1
value: 28.528
verified: false
- type: ndcg_at_10
value: 40.703
verified: false
- type: ndcg_at_100
value: 45.993
verified: false
- type: ndcg_at_1000
value: 47.847
verified: false
- type: ndcg_at_3
value: 34.622
verified: false
- type: ndcg_at_5
value: 38.035999999999994
verified: false
- type: precision_at_1
value: 28.528
verified: false
- type: precision_at_10
value: 6.902
verified: false
- type: precision_at_100
value: 1.0370000000000001
verified: false
- type: precision_at_1000
value: 0.126
verified: false
- type: precision_at_3
value: 15.798000000000002
verified: false
- type: precision_at_5
value: 11.655999999999999
verified: false
- type: recall_at_1
value: 24.681
verified: false
- type: recall_at_10
value: 55.81
verified: false
- type: recall_at_100
value: 79.785
verified: false
- type: recall_at_1000
value: 92.959
verified: false
- type: recall_at_3
value: 39.074
verified: false
- type: recall_at_5
value: 47.568
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackTexRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: map_at_1
value: 18.627
verified: false
- type: map_at_10
value: 27.872000000000003
verified: false
- type: map_at_100
value: 29.237999999999996
verified: false
- type: map_at_1000
value: 29.363
verified: false
- type: map_at_3
value: 24.751
verified: false
- type: map_at_5
value: 26.521
verified: false
- type: mrr_at_1
value: 23.021
verified: false
- type: mrr_at_10
value: 31.924000000000003
verified: false
- type: mrr_at_100
value: 32.922000000000004
verified: false
- type: mrr_at_1000
value: 32.988
verified: false
- type: mrr_at_3
value: 29.192
verified: false
- type: mrr_at_5
value: 30.798
verified: false
- type: ndcg_at_1
value: 23.021
verified: false
- type: ndcg_at_10
value: 33.535
verified: false
- type: ndcg_at_100
value: 39.732
verified: false
- type: ndcg_at_1000
value: 42.201
verified: false
- type: ndcg_at_3
value: 28.153
verified: false
- type: ndcg_at_5
value: 30.746000000000002
verified: false
- type: precision_at_1
value: 23.021
verified: false
- type: precision_at_10
value: 6.459
verified: false
- type: precision_at_100
value: 1.1320000000000001
verified: false
- type: precision_at_1000
value: 0.153
verified: false
- type: precision_at_3
value: 13.719000000000001
verified: false
- type: precision_at_5
value: 10.193000000000001
verified: false
- type: recall_at_1
value: 18.627
verified: false
- type: recall_at_10
value: 46.463
verified: false
- type: recall_at_100
value: 74.226
verified: false
- type: recall_at_1000
value: 91.28500000000001
verified: false
- type: recall_at_3
value: 31.357000000000003
verified: false
- type: recall_at_5
value: 38.067
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackUnixRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: map_at_1
value: 31.457
verified: false
- type: map_at_10
value: 42.888
verified: false
- type: map_at_100
value: 44.24
verified: false
- type: map_at_1000
value: 44.327
verified: false
- type: map_at_3
value: 39.588
verified: false
- type: map_at_5
value: 41.423
verified: false
- type: mrr_at_1
value: 37.126999999999995
verified: false
- type: mrr_at_10
value: 47.083000000000006
verified: false
- type: mrr_at_100
value: 47.997
verified: false
- type: mrr_at_1000
value: 48.044
verified: false
- type: mrr_at_3
value: 44.574000000000005
verified: false
- type: mrr_at_5
value: 46.202
verified: false
- type: ndcg_at_1
value: 37.126999999999995
verified: false
- type: ndcg_at_10
value: 48.833
verified: false
- type: ndcg_at_100
value: 54.327000000000005
verified: false
- type: ndcg_at_1000
value: 56.011
verified: false
- type: ndcg_at_3
value: 43.541999999999994
verified: false
- type: ndcg_at_5
value: 46.127
verified: false
- type: precision_at_1
value: 37.126999999999995
verified: false
- type: precision_at_10
value: 8.376999999999999
verified: false
- type: precision_at_100
value: 1.2309999999999999
verified: false
- type: precision_at_1000
value: 0.146
verified: false
- type: precision_at_3
value: 20.211000000000002
verified: false
- type: precision_at_5
value: 14.16
verified: false
- type: recall_at_1
value: 31.457
verified: false
- type: recall_at_10
value: 62.369
verified: false
- type: recall_at_100
value: 85.444
verified: false
- type: recall_at_1000
value: 96.65599999999999
verified: false
- type: recall_at_3
value: 47.961
verified: false
- type: recall_at_5
value: 54.676
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackWebmastersRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: map_at_1
value: 27.139999999999997
verified: false
- type: map_at_10
value: 38.801
verified: false
- type: map_at_100
value: 40.549
verified: false
- type: map_at_1000
value: 40.802
verified: false
- type: map_at_3
value: 35.05
verified: false
- type: map_at_5
value: 36.884
verified: false
- type: mrr_at_1
value: 33.004
verified: false
- type: mrr_at_10
value: 43.864
verified: false
- type: mrr_at_100
value: 44.667
verified: false
- type: mrr_at_1000
value: 44.717
verified: false
- type: mrr_at_3
value: 40.777
verified: false
- type: mrr_at_5
value: 42.319
verified: false
- type: ndcg_at_1
value: 33.004
verified: false
- type: ndcg_at_10
value: 46.022
verified: false
- type: ndcg_at_100
value: 51.542
verified: false
- type: ndcg_at_1000
value: 53.742000000000004
verified: false
- type: ndcg_at_3
value: 39.795
verified: false
- type: ndcg_at_5
value: 42.272
verified: false
- type: precision_at_1
value: 33.004
verified: false
- type: precision_at_10
value: 9.012
verified: false
- type: precision_at_100
value: 1.7770000000000001
verified: false
- type: precision_at_1000
value: 0.26
verified: false
- type: precision_at_3
value: 19.038
verified: false
- type: precision_at_5
value: 13.675999999999998
verified: false
- type: recall_at_1
value: 27.139999999999997
verified: false
- type: recall_at_10
value: 60.961
verified: false
- type: recall_at_100
value: 84.451
verified: false
- type: recall_at_1000
value: 98.113
verified: false
- type: recall_at_3
value: 43.001
verified: false
- type: recall_at_5
value: 49.896
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ClimateFEVER
type: mteb/climate-fever
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: map_at_1
value: 22.076999999999998
verified: false
- type: map_at_10
value: 35.44
verified: false
- type: map_at_100
value: 37.651
verified: false
- type: map_at_1000
value: 37.824999999999996
verified: false
- type: map_at_3
value: 30.764999999999997
verified: false
- type: map_at_5
value: 33.26
verified: false
- type: mrr_at_1
value: 50.163000000000004
verified: false
- type: mrr_at_10
value: 61.207
verified: false
- type: mrr_at_100
value: 61.675000000000004
verified: false
- type: mrr_at_1000
value: 61.692
verified: false
- type: mrr_at_3
value: 58.60999999999999
verified: false
- type: mrr_at_5
value: 60.307
verified: false
- type: ndcg_at_1
value: 50.163000000000004
verified: false
- type: ndcg_at_10
value: 45.882
verified: false
- type: ndcg_at_100
value: 53.239999999999995
verified: false
- type: ndcg_at_1000
value: 55.852000000000004
verified: false
- type: ndcg_at_3
value: 40.514
verified: false
- type: ndcg_at_5
value: 42.038
verified: false
- type: precision_at_1
value: 50.163000000000004
verified: false
- type: precision_at_10
value: 13.466000000000001
verified: false
- type: precision_at_100
value: 2.164
verified: false
- type: precision_at_1000
value: 0.266
verified: false
- type: precision_at_3
value: 29.707
verified: false
- type: precision_at_5
value: 21.694
verified: false
- type: recall_at_1
value: 22.076999999999998
verified: false
- type: recall_at_10
value: 50.193
verified: false
- type: recall_at_100
value: 74.993
verified: false
- type: recall_at_1000
value: 89.131
verified: false
- type: recall_at_3
value: 35.472
verified: false
- type: recall_at_5
value: 41.814
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia
type: mteb/dbpedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: map_at_1
value: 9.953
verified: false
- type: map_at_10
value: 24.515
verified: false
- type: map_at_100
value: 36.173
verified: false
- type: map_at_1000
value: 38.351
verified: false
- type: map_at_3
value: 16.592000000000002
verified: false
- type: map_at_5
value: 20.036
verified: false
- type: mrr_at_1
value: 74.25
verified: false
- type: mrr_at_10
value: 81.813
verified: false
- type: mrr_at_100
value: 82.006
verified: false
- type: mrr_at_1000
value: 82.011
verified: false
- type: mrr_at_3
value: 80.875
verified: false
- type: mrr_at_5
value: 81.362
verified: false
- type: ndcg_at_1
value: 62.5
verified: false
- type: ndcg_at_10
value: 52.42
verified: false
- type: ndcg_at_100
value: 56.808
verified: false
- type: ndcg_at_1000
value: 63.532999999999994
verified: false
- type: ndcg_at_3
value: 56.654
verified: false
- type: ndcg_at_5
value: 54.18300000000001
verified: false
- type: precision_at_1
value: 74.25
verified: false
- type: precision_at_10
value: 42.699999999999996
verified: false
- type: precision_at_100
value: 13.675
verified: false
- type: precision_at_1000
value: 2.664
verified: false
- type: precision_at_3
value: 60.5
verified: false
- type: precision_at_5
value: 52.800000000000004
verified: false
- type: recall_at_1
value: 9.953
verified: false
- type: recall_at_10
value: 30.253999999999998
verified: false
- type: recall_at_100
value: 62.516000000000005
verified: false
- type: recall_at_1000
value: 84.163
verified: false
- type: recall_at_3
value: 18.13
verified: false
- type: recall_at_5
value: 22.771
verified: false
- task:
type: Classification
dataset:
name: MTEB EmotionClassification
type: mteb/emotion
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 79.455
verified: false
- type: f1
value: 74.16798697647569
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FEVER
type: mteb/fever
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: map_at_1
value: 87.531
verified: false
- type: map_at_10
value: 93.16799999999999
verified: false
- type: map_at_100
value: 93.341
verified: false
- type: map_at_1000
value: 93.349
verified: false
- type: map_at_3
value: 92.444
verified: false
- type: map_at_5
value: 92.865
verified: false
- type: mrr_at_1
value: 94.014
verified: false
- type: mrr_at_10
value: 96.761
verified: false
- type: mrr_at_100
value: 96.762
verified: false
- type: mrr_at_1000
value: 96.762
verified: false
- type: mrr_at_3
value: 96.672
verified: false
- type: mrr_at_5
value: 96.736
verified: false
- type: ndcg_at_1
value: 94.014
verified: false
- type: ndcg_at_10
value: 95.112
verified: false
- type: ndcg_at_100
value: 95.578
verified: false
- type: ndcg_at_1000
value: 95.68900000000001
verified: false
- type: ndcg_at_3
value: 94.392
verified: false
- type: ndcg_at_5
value: 94.72500000000001
verified: false
- type: precision_at_1
value: 94.014
verified: false
- type: precision_at_10
value: 11.065
verified: false
- type: precision_at_100
value: 1.157
verified: false
- type: precision_at_1000
value: 0.11800000000000001
verified: false
- type: precision_at_3
value: 35.259
verified: false
- type: precision_at_5
value: 21.599
verified: false
- type: recall_at_1
value: 87.531
verified: false
- type: recall_at_10
value: 97.356
verified: false
- type: recall_at_100
value: 98.965
verified: false
- type: recall_at_1000
value: 99.607
verified: false
- type: recall_at_3
value: 95.312
verified: false
- type: recall_at_5
value: 96.295
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA2018
type: mteb/fiqa
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: map_at_1
value: 32.055
verified: false
- type: map_at_10
value: 53.114
verified: false
- type: map_at_100
value: 55.235
verified: false
- type: map_at_1000
value: 55.345
verified: false
- type: map_at_3
value: 45.854
verified: false
- type: map_at_5
value: 50.025
verified: false
- type: mrr_at_1
value: 60.34
verified: false
- type: mrr_at_10
value: 68.804
verified: false
- type: mrr_at_100
value: 69.309
verified: false
- type: mrr_at_1000
value: 69.32199999999999
verified: false
- type: mrr_at_3
value: 66.40899999999999
verified: false
- type: mrr_at_5
value: 67.976
verified: false
- type: ndcg_at_1
value: 60.34
verified: false
- type: ndcg_at_10
value: 62.031000000000006
verified: false
- type: ndcg_at_100
value: 68.00500000000001
verified: false
- type: ndcg_at_1000
value: 69.286
verified: false
- type: ndcg_at_3
value: 56.355999999999995
verified: false
- type: ndcg_at_5
value: 58.687
verified: false
- type: precision_at_1
value: 60.34
verified: false
- type: precision_at_10
value: 17.176
verified: false
- type: precision_at_100
value: 2.36
verified: false
- type: precision_at_1000
value: 0.259
verified: false
- type: precision_at_3
value: 37.14
verified: false
- type: precision_at_5
value: 27.809
verified: false
- type: recall_at_1
value: 32.055
verified: false
- type: recall_at_10
value: 70.91
verified: false
- type: recall_at_100
value: 91.83
verified: false
- type: recall_at_1000
value: 98.871
verified: false
- type: recall_at_3
value: 51.202999999999996
verified: false
- type: recall_at_5
value: 60.563
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA
type: mteb/hotpotqa
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: map_at_1
value: 43.68
verified: false
- type: map_at_10
value: 64.389
verified: false
- type: map_at_100
value: 65.24
verified: false
- type: map_at_1000
value: 65.303
verified: false
- type: map_at_3
value: 61.309000000000005
verified: false
- type: map_at_5
value: 63.275999999999996
verified: false
- type: mrr_at_1
value: 87.36
verified: false
- type: mrr_at_10
value: 91.12
verified: false
- type: mrr_at_100
value: 91.227
verified: false
- type: mrr_at_1000
value: 91.229
verified: false
- type: mrr_at_3
value: 90.57600000000001
verified: false
- type: mrr_at_5
value: 90.912
verified: false
- type: ndcg_at_1
value: 87.36
verified: false
- type: ndcg_at_10
value: 73.076
verified: false
- type: ndcg_at_100
value: 75.895
verified: false
- type: ndcg_at_1000
value: 77.049
verified: false
- type: ndcg_at_3
value: 68.929
verified: false
- type: ndcg_at_5
value: 71.28
verified: false
- type: precision_at_1
value: 87.36
verified: false
- type: precision_at_10
value: 14.741000000000001
verified: false
- type: precision_at_100
value: 1.694
verified: false
- type: precision_at_1000
value: 0.185
verified: false
- type: precision_at_3
value: 43.043
verified: false
- type: precision_at_5
value: 27.681
verified: false
- type: recall_at_1
value: 43.68
verified: false
- type: recall_at_10
value: 73.707
verified: false
- type: recall_at_100
value: 84.7
verified: false
- type: recall_at_1000
value: 92.309
verified: false
- type: recall_at_3
value: 64.564
verified: false
- type: recall_at_5
value: 69.203
verified: false
- task:
type: Classification
dataset:
name: MTEB ImdbClassification
type: mteb/imdb
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 96.75399999999999
verified: false
- type: ap
value: 95.29389839242187
verified: false
- type: f1
value: 96.75348377433475
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MSMARCO
type: mteb/msmarco
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: map_at_1
value: 25.176
verified: false
- type: map_at_10
value: 38.598
verified: false
- type: map_at_100
value: 39.707
verified: false
- type: map_at_1000
value: 39.744
verified: false
- type: map_at_3
value: 34.566
verified: false
- type: map_at_5
value: 36.863
verified: false
- type: mrr_at_1
value: 25.874000000000002
verified: false
- type: mrr_at_10
value: 39.214
verified: false
- type: mrr_at_100
value: 40.251
verified: false
- type: mrr_at_1000
value: 40.281
verified: false
- type: mrr_at_3
value: 35.291
verified: false
- type: mrr_at_5
value: 37.545
verified: false
- type: ndcg_at_1
value: 25.874000000000002
verified: false
- type: ndcg_at_10
value: 45.98
verified: false
- type: ndcg_at_100
value: 51.197
verified: false
- type: ndcg_at_1000
value: 52.073
verified: false
- type: ndcg_at_3
value: 37.785999999999994
verified: false
- type: ndcg_at_5
value: 41.870000000000005
verified: false
- type: precision_at_1
value: 25.874000000000002
verified: false
- type: precision_at_10
value: 7.181
verified: false
- type: precision_at_100
value: 0.979
verified: false
- type: precision_at_1000
value: 0.106
verified: false
- type: precision_at_3
value: 16.051000000000002
verified: false
- type: precision_at_5
value: 11.713
verified: false
- type: recall_at_1
value: 25.176
verified: false
- type: recall_at_10
value: 68.67699999999999
verified: false
- type: recall_at_100
value: 92.55
verified: false
- type: recall_at_1000
value: 99.164
verified: false
- type: recall_at_3
value: 46.372
verified: false
- type: recall_at_5
value: 56.16
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (en)
type: mteb/mtop_domain
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 99.03784769721841
verified: false
- type: f1
value: 98.97791641821495
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (en)
type: mteb/mtop_intent
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 91.88326493388054
verified: false
- type: f1
value: 73.74809928034335
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification (en)
type: mteb/amazon_massive_intent
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 85.41358439811701
verified: false
- type: f1
value: 83.503679460639
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (en)
type: mteb/amazon_massive_scenario
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 89.77135171486215
verified: false
- type: f1
value: 88.89843747468366
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringP2P
type: mteb/medrxiv-clustering-p2p
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 46.22695362087359
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringS2S
type: mteb/medrxiv-clustering-s2s
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 44.132372165849425
verified: false
- task:
type: Reranking
dataset:
name: MTEB MindSmallReranking
type: mteb/mind_small
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 33.35680810650402
verified: false
- type: mrr
value: 34.72625715637218
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NFCorpus
type: mteb/nfcorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: map_at_1
value: 7.165000000000001
verified: false
- type: map_at_10
value: 15.424
verified: false
- type: map_at_100
value: 20.28
verified: false
- type: map_at_1000
value: 22.065
verified: false
- type: map_at_3
value: 11.236
verified: false
- type: map_at_5
value: 13.025999999999998
verified: false
- type: mrr_at_1
value: 51.702999999999996
verified: false
- type: mrr_at_10
value: 59.965
verified: false
- type: mrr_at_100
value: 60.667
verified: false
- type: mrr_at_1000
value: 60.702999999999996
verified: false
- type: mrr_at_3
value: 58.772000000000006
verified: false
- type: mrr_at_5
value: 59.267
verified: false
- type: ndcg_at_1
value: 49.536
verified: false
- type: ndcg_at_10
value: 40.6
verified: false
- type: ndcg_at_100
value: 37.848
verified: false
- type: ndcg_at_1000
value: 46.657
verified: false
- type: ndcg_at_3
value: 46.117999999999995
verified: false
- type: ndcg_at_5
value: 43.619
verified: false
- type: precision_at_1
value: 51.393
verified: false
- type: precision_at_10
value: 30.31
verified: false
- type: precision_at_100
value: 9.972
verified: false
- type: precision_at_1000
value: 2.329
verified: false
- type: precision_at_3
value: 43.137
verified: false
- type: precision_at_5
value: 37.585
verified: false
- type: recall_at_1
value: 7.165000000000001
verified: false
- type: recall_at_10
value: 19.689999999999998
verified: false
- type: recall_at_100
value: 39.237
verified: false
- type: recall_at_1000
value: 71.417
verified: false
- type: recall_at_3
value: 12.247
verified: false
- type: recall_at_5
value: 14.902999999999999
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NQ
type: mteb/nq
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: map_at_1
value: 42.653999999999996
verified: false
- type: map_at_10
value: 59.611999999999995
verified: false
- type: map_at_100
value: 60.32300000000001
verified: false
- type: map_at_1000
value: 60.336
verified: false
- type: map_at_3
value: 55.584999999999994
verified: false
- type: map_at_5
value: 58.19
verified: false
- type: mrr_at_1
value: 47.683
verified: false
- type: mrr_at_10
value: 62.06700000000001
verified: false
- type: mrr_at_100
value: 62.537
verified: false
- type: mrr_at_1000
value: 62.544999999999995
verified: false
- type: mrr_at_3
value: 59.178
verified: false
- type: mrr_at_5
value: 61.034
verified: false
- type: ndcg_at_1
value: 47.654
verified: false
- type: ndcg_at_10
value: 67.001
verified: false
- type: ndcg_at_100
value: 69.73899999999999
verified: false
- type: ndcg_at_1000
value: 69.986
verified: false
- type: ndcg_at_3
value: 59.95700000000001
verified: false
- type: ndcg_at_5
value: 64.025
verified: false
- type: precision_at_1
value: 47.654
verified: false
- type: precision_at_10
value: 10.367999999999999
verified: false
- type: precision_at_100
value: 1.192
verified: false
- type: precision_at_1000
value: 0.121
verified: false
- type: precision_at_3
value: 26.651000000000003
verified: false
- type: precision_at_5
value: 18.459
verified: false
- type: recall_at_1
value: 42.653999999999996
verified: false
- type: recall_at_10
value: 86.619
verified: false
- type: recall_at_100
value: 98.04899999999999
verified: false
- type: recall_at_1000
value: 99.812
verified: false
- type: recall_at_3
value: 68.987
verified: false
- type: recall_at_5
value: 78.158
verified: false
- task:
type: Retrieval
dataset:
name: MTEB QuoraRetrieval
type: mteb/quora
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 72.538
verified: false
- type: map_at_10
value: 86.702
verified: false
- type: map_at_100
value: 87.31
verified: false
- type: map_at_1000
value: 87.323
verified: false
- type: map_at_3
value: 83.87
verified: false
- type: map_at_5
value: 85.682
verified: false
- type: mrr_at_1
value: 83.31
verified: false
- type: mrr_at_10
value: 89.225
verified: false
- type: mrr_at_100
value: 89.30399999999999
verified: false
- type: mrr_at_1000
value: 89.30399999999999
verified: false
- type: mrr_at_3
value: 88.44300000000001
verified: false
- type: mrr_at_5
value: 89.005
verified: false
- type: ndcg_at_1
value: 83.32000000000001
verified: false
- type: ndcg_at_10
value: 90.095
verified: false
- type: ndcg_at_100
value: 91.12
verified: false
- type: ndcg_at_1000
value: 91.179
verified: false
- type: ndcg_at_3
value: 87.606
verified: false
- type: ndcg_at_5
value: 89.031
verified: false
- type: precision_at_1
value: 83.32000000000001
verified: false
- type: precision_at_10
value: 13.641
verified: false
- type: precision_at_100
value: 1.541
verified: false
- type: precision_at_1000
value: 0.157
verified: false
- type: precision_at_3
value: 38.377
verified: false
- type: precision_at_5
value: 25.162000000000003
verified: false
- type: recall_at_1
value: 72.538
verified: false
- type: recall_at_10
value: 96.47200000000001
verified: false
- type: recall_at_100
value: 99.785
verified: false
- type: recall_at_1000
value: 99.99900000000001
verified: false
- type: recall_at_3
value: 89.278
verified: false
- type: recall_at_5
value: 93.367
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClustering
type: mteb/reddit-clustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 73.55219145406065
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClusteringP2P
type: mteb/reddit-clustering-p2p
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 74.13437105242755
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS
type: mteb/scidocs
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 6.873
verified: false
- type: map_at_10
value: 17.944
verified: false
- type: map_at_100
value: 21.171
verified: false
- type: map_at_1000
value: 21.528
verified: false
- type: map_at_3
value: 12.415
verified: false
- type: map_at_5
value: 15.187999999999999
verified: false
- type: mrr_at_1
value: 33.800000000000004
verified: false
- type: mrr_at_10
value: 46.455
verified: false
- type: mrr_at_100
value: 47.378
verified: false
- type: mrr_at_1000
value: 47.394999999999996
verified: false
- type: mrr_at_3
value: 42.367
verified: false
- type: mrr_at_5
value: 44.972
verified: false
- type: ndcg_at_1
value: 33.800000000000004
verified: false
- type: ndcg_at_10
value: 28.907
verified: false
- type: ndcg_at_100
value: 39.695
verified: false
- type: ndcg_at_1000
value: 44.582
verified: false
- type: ndcg_at_3
value: 26.949
verified: false
- type: ndcg_at_5
value: 23.988
verified: false
- type: precision_at_1
value: 33.800000000000004
verified: false
- type: precision_at_10
value: 15.079999999999998
verified: false
- type: precision_at_100
value: 3.056
verified: false
- type: precision_at_1000
value: 0.42100000000000004
verified: false
- type: precision_at_3
value: 25.167
verified: false
- type: precision_at_5
value: 21.26
verified: false
- type: recall_at_1
value: 6.873
verified: false
- type: recall_at_10
value: 30.568
verified: false
- type: recall_at_100
value: 62.062
verified: false
- type: recall_at_1000
value: 85.37700000000001
verified: false
- type: recall_at_3
value: 15.312999999999999
verified: false
- type: recall_at_5
value: 21.575
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R
type: mteb/sickr-sts
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_pearson
value: 82.37009118256057
verified: false
- type: cos_sim_spearman
value: 79.27986395671529
verified: false
- type: euclidean_pearson
value: 79.18037715442115
verified: false
- type: euclidean_spearman
value: 79.28004791561621
verified: false
- type: manhattan_pearson
value: 79.34062972800541
verified: false
- type: manhattan_spearman
value: 79.43106695543402
verified: false
- task:
type: STS
dataset:
name: MTEB STS12
type: mteb/sts12-sts
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_pearson
value: 87.48474767383833
verified: false
- type: cos_sim_spearman
value: 79.54505388752513
verified: false
- type: euclidean_pearson
value: 83.43282704179565
verified: false
- type: euclidean_spearman
value: 79.54579919925405
verified: false
- type: manhattan_pearson
value: 83.77564492427952
verified: false
- type: manhattan_spearman
value: 79.84558396989286
verified: false
- task:
type: STS
dataset:
name: MTEB STS13
type: mteb/sts13-sts
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_pearson
value: 88.803698035802
verified: false
- type: cos_sim_spearman
value: 88.83451367754881
verified: false
- type: euclidean_pearson
value: 88.28939285711628
verified: false
- type: euclidean_spearman
value: 88.83528996073112
verified: false
- type: manhattan_pearson
value: 88.28017412671795
verified: false
- type: manhattan_spearman
value: 88.9228828016344
verified: false
- task:
type: STS
dataset:
name: MTEB STS14
type: mteb/sts14-sts
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_pearson
value: 85.27469288153428
verified: false
- type: cos_sim_spearman
value: 83.87477064876288
verified: false
- type: euclidean_pearson
value: 84.2601737035379
verified: false
- type: euclidean_spearman
value: 83.87431082479074
verified: false
- type: manhattan_pearson
value: 84.3621547772745
verified: false
- type: manhattan_spearman
value: 84.12094375000423
verified: false
- task:
type: STS
dataset:
name: MTEB STS15
type: mteb/sts15-sts
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_pearson
value: 88.12749863201587
verified: false
- type: cos_sim_spearman
value: 88.54287568368565
verified: false
- type: euclidean_pearson
value: 87.90429700607999
verified: false
- type: euclidean_spearman
value: 88.5437689576261
verified: false
- type: manhattan_pearson
value: 88.19276653356833
verified: false
- type: manhattan_spearman
value: 88.99995393814679
verified: false
- task:
type: STS
dataset:
name: MTEB STS16
type: mteb/sts16-sts
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_pearson
value: 85.68398747560902
verified: false
- type: cos_sim_spearman
value: 86.48815303460574
verified: false
- type: euclidean_pearson
value: 85.52356631237954
verified: false
- type: euclidean_spearman
value: 86.486391949551
verified: false
- type: manhattan_pearson
value: 85.67267981761788
verified: false
- type: manhattan_spearman
value: 86.7073696332485
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-en)
type: mteb/sts17-crosslingual-sts
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_pearson
value: 88.9057107443124
verified: false
- type: cos_sim_spearman
value: 88.7312168757697
verified: false
- type: euclidean_pearson
value: 88.72810439714794
verified: false
- type: euclidean_spearman
value: 88.71976185854771
verified: false
- type: manhattan_pearson
value: 88.50433745949111
verified: false
- type: manhattan_spearman
value: 88.51726175544195
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (en)
type: mteb/sts22-crosslingual-sts
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 67.59391795109886
verified: false
- type: cos_sim_spearman
value: 66.87613008631367
verified: false
- type: euclidean_pearson
value: 69.23198488262217
verified: false
- type: euclidean_spearman
value: 66.85427723013692
verified: false
- type: manhattan_pearson
value: 69.50730124841084
verified: false
- type: manhattan_spearman
value: 67.10404669820792
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmark
type: mteb/stsbenchmark-sts
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_pearson
value: 87.0820605344619
verified: false
- type: cos_sim_spearman
value: 86.8518089863434
verified: false
- type: euclidean_pearson
value: 86.31087134689284
verified: false
- type: euclidean_spearman
value: 86.8518520517941
verified: false
- type: manhattan_pearson
value: 86.47203796160612
verified: false
- type: manhattan_spearman
value: 87.1080149734421
verified: false
- task:
type: Reranking
dataset:
name: MTEB SciDocsRR
type: mteb/scidocs-reranking
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 89.09255369305481
verified: false
- type: mrr
value: 97.10323445617563
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact
type: mteb/scifact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: map_at_1
value: 61.260999999999996
verified: false
- type: map_at_10
value: 74.043
verified: false
- type: map_at_100
value: 74.37700000000001
verified: false
- type: map_at_1000
value: 74.384
verified: false
- type: map_at_3
value: 71.222
verified: false
- type: map_at_5
value: 72.875
verified: false
- type: mrr_at_1
value: 64.333
verified: false
- type: mrr_at_10
value: 74.984
verified: false
- type: mrr_at_100
value: 75.247
verified: false
- type: mrr_at_1000
value: 75.25500000000001
verified: false
- type: mrr_at_3
value: 73.167
verified: false
- type: mrr_at_5
value: 74.35000000000001
verified: false
- type: ndcg_at_1
value: 64.333
verified: false
- type: ndcg_at_10
value: 79.06
verified: false
- type: ndcg_at_100
value: 80.416
verified: false
- type: ndcg_at_1000
value: 80.55600000000001
verified: false
- type: ndcg_at_3
value: 74.753
verified: false
- type: ndcg_at_5
value: 76.97500000000001
verified: false
- type: precision_at_1
value: 64.333
verified: false
- type: precision_at_10
value: 10.567
verified: false
- type: precision_at_100
value: 1.1199999999999999
verified: false
- type: precision_at_1000
value: 0.11299999999999999
verified: false
- type: precision_at_3
value: 29.889
verified: false
- type: precision_at_5
value: 19.533
verified: false
- type: recall_at_1
value: 61.260999999999996
verified: false
- type: recall_at_10
value: 93.167
verified: false
- type: recall_at_100
value: 99
verified: false
- type: recall_at_1000
value: 100
verified: false
- type: recall_at_3
value: 81.667
verified: false
- type: recall_at_5
value: 87.394
verified: false
- task:
type: PairClassification
dataset:
name: MTEB SprintDuplicateQuestions
type: mteb/sprintduplicatequestions-pairclassification
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_accuracy
value: 99.71980198019801
verified: false
- type: cos_sim_ap
value: 92.81616007802704
verified: false
- type: cos_sim_f1
value: 85.17548454688318
verified: false
- type: cos_sim_precision
value: 89.43894389438944
verified: false
- type: cos_sim_recall
value: 81.3
verified: false
- type: dot_accuracy
value: 99.71980198019801
verified: false
- type: dot_ap
value: 92.81398760591358
verified: false
- type: dot_f1
value: 85.17548454688318
verified: false
- type: dot_precision
value: 89.43894389438944
verified: false
- type: dot_recall
value: 81.3
verified: false
- type: euclidean_accuracy
value: 99.71980198019801
verified: false
- type: euclidean_ap
value: 92.81560637245072
verified: false
- type: euclidean_f1
value: 85.17548454688318
verified: false
- type: euclidean_precision
value: 89.43894389438944
verified: false
- type: euclidean_recall
value: 81.3
verified: false
- type: manhattan_accuracy
value: 99.73069306930694
verified: false
- type: manhattan_ap
value: 93.14005487480794
verified: false
- type: manhattan_f1
value: 85.56263269639068
verified: false
- type: manhattan_precision
value: 91.17647058823529
verified: false
- type: manhattan_recall
value: 80.60000000000001
verified: false
- type: max_accuracy
value: 99.73069306930694
verified: false
- type: max_ap
value: 93.14005487480794
verified: false
- type: max_f1
value: 85.56263269639068
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClustering
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 79.86443362395185
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClusteringP2P
type: mteb/stackexchange-clustering-p2p
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 49.40897096662564
verified: false
- task:
type: Reranking
dataset:
name: MTEB StackOverflowDupQuestions
type: mteb/stackoverflowdupquestions-reranking
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 55.66040806627947
verified: false
- type: mrr
value: 56.58670475766064
verified: false
- task:
type: Summarization
dataset:
name: MTEB SummEval
type: mteb/summeval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_pearson
value: 31.51015090598575
verified: false
- type: cos_sim_spearman
value: 31.35016454939226
verified: false
- type: dot_pearson
value: 31.5150068731
verified: false
- type: dot_spearman
value: 31.34790869023487
verified: false
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID
type: mteb/trec-covid
config: default
split: test
revision: None
metrics:
- type: map_at_1
value: 0.254
verified: false
- type: map_at_10
value: 2.064
verified: false
- type: map_at_100
value: 12.909
verified: false
- type: map_at_1000
value: 31.761
verified: false
- type: map_at_3
value: 0.738
verified: false
- type: map_at_5
value: 1.155
verified: false
- type: mrr_at_1
value: 96
verified: false
- type: mrr_at_10
value: 98
verified: false
- type: mrr_at_100
value: 98
verified: false
- type: mrr_at_1000
value: 98
verified: false
- type: mrr_at_3
value: 98
verified: false
- type: mrr_at_5
value: 98
verified: false
- type: ndcg_at_1
value: 93
verified: false
- type: ndcg_at_10
value: 82.258
verified: false
- type: ndcg_at_100
value: 64.34
verified: false
- type: ndcg_at_1000
value: 57.912
verified: false
- type: ndcg_at_3
value: 90.827
verified: false
- type: ndcg_at_5
value: 86.79
verified: false
- type: precision_at_1
value: 96
verified: false
- type: precision_at_10
value: 84.8
verified: false
- type: precision_at_100
value: 66
verified: false
- type: precision_at_1000
value: 25.356
verified: false
- type: precision_at_3
value: 94.667
verified: false
- type: precision_at_5
value: 90.4
verified: false
- type: recall_at_1
value: 0.254
verified: false
- type: recall_at_10
value: 2.1950000000000003
verified: false
- type: recall_at_100
value: 16.088
verified: false
- type: recall_at_1000
value: 54.559000000000005
verified: false
- type: recall_at_3
value: 0.75
verified: false
- type: recall_at_5
value: 1.191
verified: false
- task:
type: Retrieval
dataset:
name: MTEB Touche2020
type: mteb/touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: map_at_1
value: 2.976
verified: false
- type: map_at_10
value: 11.389000000000001
verified: false
- type: map_at_100
value: 18.429000000000002
verified: false
- type: map_at_1000
value: 20.113
verified: false
- type: map_at_3
value: 6.483
verified: false
- type: map_at_5
value: 8.770999999999999
verified: false
- type: mrr_at_1
value: 40.816
verified: false
- type: mrr_at_10
value: 58.118
verified: false
- type: mrr_at_100
value: 58.489999999999995
verified: false
- type: mrr_at_1000
value: 58.489999999999995
verified: false
- type: mrr_at_3
value: 53.061
verified: false
- type: mrr_at_5
value: 57.041
verified: false
- type: ndcg_at_1
value: 40.816
verified: false
- type: ndcg_at_10
value: 30.567
verified: false
- type: ndcg_at_100
value: 42.44
verified: false
- type: ndcg_at_1000
value: 53.480000000000004
verified: false
- type: ndcg_at_3
value: 36.016
verified: false
- type: ndcg_at_5
value: 34.257
verified: false
- type: precision_at_1
value: 42.857
verified: false
- type: precision_at_10
value: 25.714
verified: false
- type: precision_at_100
value: 8.429
verified: false
- type: precision_at_1000
value: 1.5939999999999999
verified: false
- type: precision_at_3
value: 36.735
verified: false
- type: precision_at_5
value: 33.878
verified: false
- type: recall_at_1
value: 2.976
verified: false
- type: recall_at_10
value: 17.854999999999997
verified: false
- type: recall_at_100
value: 51.833
verified: false
- type: recall_at_1000
value: 86.223
verified: false
- type: recall_at_3
value: 7.887
verified: false
- type: recall_at_5
value: 12.026
verified: false
- task:
type: Classification
dataset:
name: MTEB ToxicConversationsClassification
type: mteb/toxic_conversations_50k
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 85.1174
verified: false
- type: ap
value: 30.169441069345748
verified: false
- type: f1
value: 69.79254701873245
verified: false
- task:
type: Classification
dataset:
name: MTEB TweetSentimentExtractionClassification
type: mteb/tweet_sentiment_extraction
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 72.58347481607245
verified: false
- type: f1
value: 72.74877295564937
verified: false
- task:
type: Clustering
dataset:
name: MTEB TwentyNewsgroupsClustering
type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 53.90586138221305
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterSemEval2015
type: mteb/twittersemeval2015-pairclassification
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_accuracy
value: 87.35769207844072
verified: false
- type: cos_sim_ap
value: 77.9645072410354
verified: false
- type: cos_sim_f1
value: 71.32352941176471
verified: false
- type: cos_sim_precision
value: 66.5903890160183
verified: false
- type: cos_sim_recall
value: 76.78100263852242
verified: false
- type: dot_accuracy
value: 87.37557370209214
verified: false
- type: dot_ap
value: 77.96250046429908
verified: false
- type: dot_f1
value: 71.28932757557064
verified: false
- type: dot_precision
value: 66.95249130938586
verified: false
- type: dot_recall
value: 76.22691292875989
verified: false
- type: euclidean_accuracy
value: 87.35173153722357
verified: false
- type: euclidean_ap
value: 77.96520460741593
verified: false
- type: euclidean_f1
value: 71.32470733210104
verified: false
- type: euclidean_precision
value: 66.91329479768785
verified: false
- type: euclidean_recall
value: 76.35883905013192
verified: false
- type: manhattan_accuracy
value: 87.25636287774931
verified: false
- type: manhattan_ap
value: 77.77752485611796
verified: false
- type: manhattan_f1
value: 71.18148599269183
verified: false
- type: manhattan_precision
value: 66.10859728506787
verified: false
- type: manhattan_recall
value: 77.0976253298153
verified: false
- type: max_accuracy
value: 87.37557370209214
verified: false
- type: max_ap
value: 77.96520460741593
verified: false
- type: max_f1
value: 71.32470733210104
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterURLCorpus
type: mteb/twitterurlcorpus-pairclassification
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_accuracy
value: 89.38176737687739
verified: false
- type: cos_sim_ap
value: 86.58811861657401
verified: false
- type: cos_sim_f1
value: 79.09430644097604
verified: false
- type: cos_sim_precision
value: 75.45085977911366
verified: false
- type: cos_sim_recall
value: 83.10748383122882
verified: false
- type: dot_accuracy
value: 89.38370784336554
verified: false
- type: dot_ap
value: 86.58840606004333
verified: false
- type: dot_f1
value: 79.10179860068133
verified: false
- type: dot_precision
value: 75.44546153308643
verified: false
- type: dot_recall
value: 83.13058207576223
verified: false
- type: euclidean_accuracy
value: 89.38564830985369
verified: false
- type: euclidean_ap
value: 86.58820721061164
verified: false
- type: euclidean_f1
value: 79.09070942235888
verified: false
- type: euclidean_precision
value: 75.38729937194697
verified: false
- type: euclidean_recall
value: 83.17677856482906
verified: false
- type: manhattan_accuracy
value: 89.40699344122326
verified: false
- type: manhattan_ap
value: 86.60631843011362
verified: false
- type: manhattan_f1
value: 79.14949970570925
verified: false
- type: manhattan_precision
value: 75.78191039729502
verified: false
- type: manhattan_recall
value: 82.83030489682784
verified: false
- type: max_accuracy
value: 89.40699344122326
verified: false
- type: max_ap
value: 86.60631843011362
verified: false
- type: max_f1
value: 79.14949970570925
verified: false
- task:
type: STS
dataset:
name: MTEB AFQMC
type: C-MTEB/AFQMC
config: default
split: validation
revision: b44c3b011063adb25877c13823db83bb193913c4
metrics:
- type: cos_sim_pearson
value: 65.58442135663871
verified: false
- type: cos_sim_spearman
value: 72.2538631361313
verified: false
- type: euclidean_pearson
value: 70.97255486607429
verified: false
- type: euclidean_spearman
value: 72.25374250228647
verified: false
- type: manhattan_pearson
value: 70.83250199989911
verified: false
- type: manhattan_spearman
value: 72.14819496536272
verified: false
- task:
type: STS
dataset:
name: MTEB ATEC
type: C-MTEB/ATEC
config: default
split: test
revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
metrics:
- type: cos_sim_pearson
value: 59.99478404929932
verified: false
- type: cos_sim_spearman
value: 62.61836216999812
verified: false
- type: euclidean_pearson
value: 66.86429811933593
verified: false
- type: euclidean_spearman
value: 62.6183520374191
verified: false
- type: manhattan_pearson
value: 66.8063778911633
verified: false
- type: manhattan_spearman
value: 62.569607573241115
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (zh)
type: mteb/amazon_reviews_multi
config: zh
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 53.98400000000001
verified: false
- type: f1
value: 51.21447361350723
verified: false
- task:
type: STS
dataset:
name: MTEB BQ
type: C-MTEB/BQ
config: default
split: test
revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
metrics:
- type: cos_sim_pearson
value: 79.11941660686553
verified: false
- type: cos_sim_spearman
value: 81.25029594540435
verified: false
- type: euclidean_pearson
value: 82.06973504238826
verified: false
- type: euclidean_spearman
value: 81.2501989488524
verified: false
- type: manhattan_pearson
value: 82.10094630392753
verified: false
- type: manhattan_spearman
value: 81.27987244392389
verified: false
- task:
type: Clustering
dataset:
name: MTEB CLSClusteringP2P
type: C-MTEB/CLSClusteringP2P
config: default
split: test
revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
metrics:
- type: v_measure
value: 47.07270168705156
verified: false
- task:
type: Clustering
dataset:
name: MTEB CLSClusteringS2S
type: C-MTEB/CLSClusteringS2S
config: default
split: test
revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
metrics:
- type: v_measure
value: 45.98511703185043
verified: false
- task:
type: Reranking
dataset:
name: MTEB CMedQAv1
type: C-MTEB/CMedQAv1-reranking
config: default
split: test
revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
metrics:
- type: map
value: 88.19895157194931
verified: false
- type: mrr
value: 90.21424603174603
verified: false
- task:
type: Reranking
dataset:
name: MTEB CMedQAv2
type: C-MTEB/CMedQAv2-reranking
config: default
split: test
revision: 23d186750531a14a0357ca22cd92d712fd512ea0
metrics:
- type: map
value: 88.03317320980119
verified: false
- type: mrr
value: 89.9461507936508
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CmedqaRetrieval
type: C-MTEB/CmedqaRetrieval
config: default
split: dev
revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
metrics:
- type: map_at_1
value: 29.037000000000003
verified: false
- type: map_at_10
value: 42.001
verified: false
- type: map_at_100
value: 43.773
verified: false
- type: map_at_1000
value: 43.878
verified: false
- type: map_at_3
value: 37.637
verified: false
- type: map_at_5
value: 40.034
verified: false
- type: mrr_at_1
value: 43.136
verified: false
- type: mrr_at_10
value: 51.158
verified: false
- type: mrr_at_100
value: 52.083
verified: false
- type: mrr_at_1000
value: 52.12
verified: false
- type: mrr_at_3
value: 48.733
verified: false
- type: mrr_at_5
value: 50.025
verified: false
- type: ndcg_at_1
value: 43.136
verified: false
- type: ndcg_at_10
value: 48.685
verified: false
- type: ndcg_at_100
value: 55.513
verified: false
- type: ndcg_at_1000
value: 57.242000000000004
verified: false
- type: ndcg_at_3
value: 43.329
verified: false
- type: ndcg_at_5
value: 45.438
verified: false
- type: precision_at_1
value: 43.136
verified: false
- type: precision_at_10
value: 10.56
verified: false
- type: precision_at_100
value: 1.6129999999999998
verified: false
- type: precision_at_1000
value: 0.184
verified: false
- type: precision_at_3
value: 24.064
verified: false
- type: precision_at_5
value: 17.269000000000002
verified: false
- type: recall_at_1
value: 29.037000000000003
verified: false
- type: recall_at_10
value: 59.245000000000005
verified: false
- type: recall_at_100
value: 87.355
verified: false
- type: recall_at_1000
value: 98.74000000000001
verified: false
- type: recall_at_3
value: 42.99
verified: false
- type: recall_at_5
value: 49.681999999999995
verified: false
- task:
type: PairClassification
dataset:
name: MTEB Cmnli
type: C-MTEB/CMNLI
config: default
split: validation
revision: 41bc36f332156f7adc9e38f53777c959b2ae9766
metrics:
- type: cos_sim_accuracy
value: 82.68190018039687
verified: false
- type: cos_sim_ap
value: 90.18017125327886
verified: false
- type: cos_sim_f1
value: 83.64080906868193
verified: false
- type: cos_sim_precision
value: 79.7076890489303
verified: false
- type: cos_sim_recall
value: 87.98223053542202
verified: false
- type: dot_accuracy
value: 82.68190018039687
verified: false
- type: dot_ap
value: 90.18782350103646
verified: false
- type: dot_f1
value: 83.64242087729039
verified: false
- type: dot_precision
value: 79.65313028764805
verified: false
- type: dot_recall
value: 88.05237315875614
verified: false
- type: euclidean_accuracy
value: 82.68190018039687
verified: false
- type: euclidean_ap
value: 90.1801957900632
verified: false
- type: euclidean_f1
value: 83.63636363636364
verified: false
- type: euclidean_precision
value: 79.52772506852203
verified: false
- type: euclidean_recall
value: 88.19265840542437
verified: false
- type: manhattan_accuracy
value: 82.14070956103427
verified: false
- type: manhattan_ap
value: 89.96178420101427
verified: false
- type: manhattan_f1
value: 83.21087838578791
verified: false
- type: manhattan_precision
value: 78.35605121850475
verified: false
- type: manhattan_recall
value: 88.70703764320785
verified: false
- type: max_accuracy
value: 82.68190018039687
verified: false
- type: max_ap
value: 90.18782350103646
verified: false
- type: max_f1
value: 83.64242087729039
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CovidRetrieval
type: C-MTEB/CovidRetrieval
config: default
split: dev
revision: 1271c7809071a13532e05f25fb53511ffce77117
metrics:
- type: map_at_1
value: 72.234
verified: false
- type: map_at_10
value: 80.10000000000001
verified: false
- type: map_at_100
value: 80.36
verified: false
- type: map_at_1000
value: 80.363
verified: false
- type: map_at_3
value: 78.315
verified: false
- type: map_at_5
value: 79.607
verified: false
- type: mrr_at_1
value: 72.392
verified: false
- type: mrr_at_10
value: 80.117
verified: false
- type: mrr_at_100
value: 80.36999999999999
verified: false
- type: mrr_at_1000
value: 80.373
verified: false
- type: mrr_at_3
value: 78.469
verified: false
- type: mrr_at_5
value: 79.633
verified: false
- type: ndcg_at_1
value: 72.392
verified: false
- type: ndcg_at_10
value: 83.651
verified: false
- type: ndcg_at_100
value: 84.749
verified: false
- type: ndcg_at_1000
value: 84.83000000000001
verified: false
- type: ndcg_at_3
value: 80.253
verified: false
- type: ndcg_at_5
value: 82.485
verified: false
- type: precision_at_1
value: 72.392
verified: false
- type: precision_at_10
value: 9.557
verified: false
- type: precision_at_100
value: 1.004
verified: false
- type: precision_at_1000
value: 0.101
verified: false
- type: precision_at_3
value: 28.732000000000003
verified: false
- type: precision_at_5
value: 18.377
verified: false
- type: recall_at_1
value: 72.234
verified: false
- type: recall_at_10
value: 94.573
verified: false
- type: recall_at_100
value: 99.368
verified: false
- type: recall_at_1000
value: 100
verified: false
- type: recall_at_3
value: 85.669
verified: false
- type: recall_at_5
value: 91.01700000000001
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DuRetrieval
type: C-MTEB/DuRetrieval
config: default
split: dev
revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
metrics:
- type: map_at_1
value: 26.173999999999996
verified: false
- type: map_at_10
value: 80.04
verified: false
- type: map_at_100
value: 82.94500000000001
verified: false
- type: map_at_1000
value: 82.98100000000001
verified: false
- type: map_at_3
value: 55.562999999999995
verified: false
- type: map_at_5
value: 69.89800000000001
verified: false
- type: mrr_at_1
value: 89.5
verified: false
- type: mrr_at_10
value: 92.996
verified: false
- type: mrr_at_100
value: 93.06400000000001
verified: false
- type: mrr_at_1000
value: 93.065
verified: false
- type: mrr_at_3
value: 92.658
verified: false
- type: mrr_at_5
value: 92.84599999999999
verified: false
- type: ndcg_at_1
value: 89.5
verified: false
- type: ndcg_at_10
value: 87.443
verified: false
- type: ndcg_at_100
value: 90.253
verified: false
- type: ndcg_at_1000
value: 90.549
verified: false
- type: ndcg_at_3
value: 85.874
verified: false
- type: ndcg_at_5
value: 84.842
verified: false
- type: precision_at_1
value: 89.5
verified: false
- type: precision_at_10
value: 41.805
verified: false
- type: precision_at_100
value: 4.827
verified: false
- type: precision_at_1000
value: 0.49
verified: false
- type: precision_at_3
value: 76.85
verified: false
- type: precision_at_5
value: 64.8
verified: false
- type: recall_at_1
value: 26.173999999999996
verified: false
- type: recall_at_10
value: 89.101
verified: false
- type: recall_at_100
value: 98.08099999999999
verified: false
- type: recall_at_1000
value: 99.529
verified: false
- type: recall_at_3
value: 57.902
verified: false
- type: recall_at_5
value: 74.602
verified: false
- task:
type: Retrieval
dataset:
name: MTEB EcomRetrieval
type: C-MTEB/EcomRetrieval
config: default
split: dev
revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
metrics:
- type: map_at_1
value: 56.10000000000001
verified: false
- type: map_at_10
value: 66.15299999999999
verified: false
- type: map_at_100
value: 66.625
verified: false
- type: map_at_1000
value: 66.636
verified: false
- type: map_at_3
value: 63.632999999999996
verified: false
- type: map_at_5
value: 65.293
verified: false
- type: mrr_at_1
value: 56.10000000000001
verified: false
- type: mrr_at_10
value: 66.15299999999999
verified: false
- type: mrr_at_100
value: 66.625
verified: false
- type: mrr_at_1000
value: 66.636
verified: false
- type: mrr_at_3
value: 63.632999999999996
verified: false
- type: mrr_at_5
value: 65.293
verified: false
- type: ndcg_at_1
value: 56.10000000000001
verified: false
- type: ndcg_at_10
value: 71.146
verified: false
- type: ndcg_at_100
value: 73.27799999999999
verified: false
- type: ndcg_at_1000
value: 73.529
verified: false
- type: ndcg_at_3
value: 66.09
verified: false
- type: ndcg_at_5
value: 69.08999999999999
verified: false
- type: precision_at_1
value: 56.10000000000001
verified: false
- type: precision_at_10
value: 8.68
verified: false
- type: precision_at_100
value: 0.964
verified: false
- type: precision_at_1000
value: 0.098
verified: false
- type: precision_at_3
value: 24.4
verified: false
- type: precision_at_5
value: 16.1
verified: false
- type: recall_at_1
value: 56.10000000000001
verified: false
- type: recall_at_10
value: 86.8
verified: false
- type: recall_at_100
value: 96.39999999999999
verified: false
- type: recall_at_1000
value: 98.3
verified: false
- type: recall_at_3
value: 73.2
verified: false
- type: recall_at_5
value: 80.5
verified: false
- task:
type: Classification
dataset:
name: MTEB IFlyTek
type: C-MTEB/IFlyTek-classification
config: default
split: validation
revision: 421605374b29664c5fc098418fe20ada9bd55f8a
metrics:
- type: accuracy
value: 54.52096960369373
verified: false
- type: f1
value: 40.930845295808695
verified: false
- task:
type: Classification
dataset:
name: MTEB JDReview
type: C-MTEB/JDReview-classification
config: default
split: test
revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
metrics:
- type: accuracy
value: 86.51031894934334
verified: false
- type: ap
value: 55.9516014323483
verified: false
- type: f1
value: 81.54813679326381
verified: false
- task:
type: STS
dataset:
name: MTEB LCQMC
type: C-MTEB/LCQMC
config: default
split: test
revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
metrics:
- type: cos_sim_pearson
value: 69.67437838574276
verified: false
- type: cos_sim_spearman
value: 73.81314174653045
verified: false
- type: euclidean_pearson
value: 72.63430276680275
verified: false
- type: euclidean_spearman
value: 73.81358736777001
verified: false
- type: manhattan_pearson
value: 72.58743833842829
verified: false
- type: manhattan_spearman
value: 73.7590419009179
verified: false
- task:
type: Reranking
dataset:
name: MTEB MMarcoReranking
type: C-MTEB/Mmarco-reranking
config: default
split: dev
revision: None
metrics:
- type: map
value: 31.648613483640254
verified: false
- type: mrr
value: 30.37420634920635
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MMarcoRetrieval
type: C-MTEB/MMarcoRetrieval
config: default
split: dev
revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
metrics:
- type: map_at_1
value: 73.28099999999999
verified: false
- type: map_at_10
value: 81.977
verified: false
- type: map_at_100
value: 82.222
verified: false
- type: map_at_1000
value: 82.22699999999999
verified: false
- type: map_at_3
value: 80.441
verified: false
- type: map_at_5
value: 81.46600000000001
verified: false
- type: mrr_at_1
value: 75.673
verified: false
- type: mrr_at_10
value: 82.41000000000001
verified: false
- type: mrr_at_100
value: 82.616
verified: false
- type: mrr_at_1000
value: 82.621
verified: false
- type: mrr_at_3
value: 81.094
verified: false
- type: mrr_at_5
value: 81.962
verified: false
- type: ndcg_at_1
value: 75.673
verified: false
- type: ndcg_at_10
value: 85.15599999999999
verified: false
- type: ndcg_at_100
value: 86.151
verified: false
- type: ndcg_at_1000
value: 86.26899999999999
verified: false
- type: ndcg_at_3
value: 82.304
verified: false
- type: ndcg_at_5
value: 84.009
verified: false
- type: precision_at_1
value: 75.673
verified: false
- type: precision_at_10
value: 10.042
verified: false
- type: precision_at_100
value: 1.052
verified: false
- type: precision_at_1000
value: 0.106
verified: false
- type: precision_at_3
value: 30.673000000000002
verified: false
- type: precision_at_5
value: 19.326999999999998
verified: false
- type: recall_at_1
value: 73.28099999999999
verified: false
- type: recall_at_10
value: 94.446
verified: false
- type: recall_at_100
value: 98.737
verified: false
- type: recall_at_1000
value: 99.649
verified: false
- type: recall_at_3
value: 86.984
verified: false
- type: recall_at_5
value: 91.024
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification (zh-CN)
type: mteb/amazon_massive_intent
config: zh-CN
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 81.08607935440484
verified: false
- type: f1
value: 78.24879986066307
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (zh-CN)
type: mteb/amazon_massive_scenario
config: zh-CN
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 86.05917955615332
verified: false
- type: f1
value: 85.05279279434997
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MedicalRetrieval
type: C-MTEB/MedicalRetrieval
config: default
split: dev
revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
metrics:
- type: map_at_1
value: 56.2
verified: false
- type: map_at_10
value: 62.57899999999999
verified: false
- type: map_at_100
value: 63.154999999999994
verified: false
- type: map_at_1000
value: 63.193
verified: false
- type: map_at_3
value: 61.217
verified: false
- type: map_at_5
value: 62.012
verified: false
- type: mrr_at_1
value: 56.3
verified: false
- type: mrr_at_10
value: 62.629000000000005
verified: false
- type: mrr_at_100
value: 63.205999999999996
verified: false
- type: mrr_at_1000
value: 63.244
verified: false
- type: mrr_at_3
value: 61.267
verified: false
- type: mrr_at_5
value: 62.062
verified: false
- type: ndcg_at_1
value: 56.2
verified: false
- type: ndcg_at_10
value: 65.592
verified: false
- type: ndcg_at_100
value: 68.657
verified: false
- type: ndcg_at_1000
value: 69.671
verified: false
- type: ndcg_at_3
value: 62.808
verified: false
- type: ndcg_at_5
value: 64.24499999999999
verified: false
- type: precision_at_1
value: 56.2
verified: false
- type: precision_at_10
value: 7.5
verified: false
- type: precision_at_100
value: 0.899
verified: false
- type: precision_at_1000
value: 0.098
verified: false
- type: precision_at_3
value: 22.467000000000002
verified: false
- type: precision_at_5
value: 14.180000000000001
verified: false
- type: recall_at_1
value: 56.2
verified: false
- type: recall_at_10
value: 75
verified: false
- type: recall_at_100
value: 89.9
verified: false
- type: recall_at_1000
value: 97.89999999999999
verified: false
- type: recall_at_3
value: 67.4
verified: false
- type: recall_at_5
value: 70.89999999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB MultilingualSentiment
type: C-MTEB/MultilingualSentiment-classification
config: default
split: validation
revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
metrics:
- type: accuracy
value: 76.87666666666667
verified: false
- type: f1
value: 76.7317686219665
verified: false
- task:
type: PairClassification
dataset:
name: MTEB Ocnli
type: C-MTEB/OCNLI
config: default
split: validation
revision: 66e76a618a34d6d565d5538088562851e6daa7ec
metrics:
- type: cos_sim_accuracy
value: 79.64266377910124
verified: false
- type: cos_sim_ap
value: 84.78274442344829
verified: false
- type: cos_sim_f1
value: 81.16947472745292
verified: false
- type: cos_sim_precision
value: 76.47058823529412
verified: false
- type: cos_sim_recall
value: 86.48363252375924
verified: false
- type: dot_accuracy
value: 79.64266377910124
verified: false
- type: dot_ap
value: 84.7851404063692
verified: false
- type: dot_f1
value: 81.16947472745292
verified: false
- type: dot_precision
value: 76.47058823529412
verified: false
- type: dot_recall
value: 86.48363252375924
verified: false
- type: euclidean_accuracy
value: 79.64266377910124
verified: false
- type: euclidean_ap
value: 84.78068373762378
verified: false
- type: euclidean_f1
value: 81.14794656110837
verified: false
- type: euclidean_precision
value: 76.35009310986965
verified: false
- type: euclidean_recall
value: 86.58922914466737
verified: false
- type: manhattan_accuracy
value: 79.48023822414727
verified: false
- type: manhattan_ap
value: 84.72928897427576
verified: false
- type: manhattan_f1
value: 81.32084770823064
verified: false
- type: manhattan_precision
value: 76.24768946395564
verified: false
- type: manhattan_recall
value: 87.11721224920802
verified: false
- type: max_accuracy
value: 79.64266377910124
verified: false
- type: max_ap
value: 84.7851404063692
verified: false
- type: max_f1
value: 81.32084770823064
verified: false
- task:
type: Classification
dataset:
name: MTEB OnlineShopping
type: C-MTEB/OnlineShopping-classification
config: default
split: test
revision: e610f2ebd179a8fda30ae534c3878750a96db120
metrics:
- type: accuracy
value: 94.3
verified: false
- type: ap
value: 92.8664032274438
verified: false
- type: f1
value: 94.29311102997727
verified: false
- task:
type: STS
dataset:
name: MTEB PAWSX
type: C-MTEB/PAWSX
config: default
split: test
revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
metrics:
- type: cos_sim_pearson
value: 48.51392279882909
verified: false
- type: cos_sim_spearman
value: 54.06338895994974
verified: false
- type: euclidean_pearson
value: 52.58480559573412
verified: false
- type: euclidean_spearman
value: 54.06417276612201
verified: false
- type: manhattan_pearson
value: 52.69525121721343
verified: false
- type: manhattan_spearman
value: 54.048147455389675
verified: false
- task:
type: STS
dataset:
name: MTEB QBQTC
type: C-MTEB/QBQTC
config: default
split: test
revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
metrics:
- type: cos_sim_pearson
value: 29.728387290757325
verified: false
- type: cos_sim_spearman
value: 31.366121633635284
verified: false
- type: euclidean_pearson
value: 29.14588368552961
verified: false
- type: euclidean_spearman
value: 31.36764411112844
verified: false
- type: manhattan_pearson
value: 29.63517350523121
verified: false
- type: manhattan_spearman
value: 31.94157020583762
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (zh)
type: mteb/sts22-crosslingual-sts
config: zh
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 63.64868296271406
verified: false
- type: cos_sim_spearman
value: 66.12800618164744
verified: false
- type: euclidean_pearson
value: 63.21405767340238
verified: false
- type: euclidean_spearman
value: 66.12786567790748
verified: false
- type: manhattan_pearson
value: 64.04300276525848
verified: false
- type: manhattan_spearman
value: 66.5066857145652
verified: false
- task:
type: STS
dataset:
name: MTEB STSB
type: C-MTEB/STSB
config: default
split: test
revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
metrics:
- type: cos_sim_pearson
value: 81.2302623912794
verified: false
- type: cos_sim_spearman
value: 81.16833673266562
verified: false
- type: euclidean_pearson
value: 79.47647843876024
verified: false
- type: euclidean_spearman
value: 81.16944349524972
verified: false
- type: manhattan_pearson
value: 79.84947238492208
verified: false
- type: manhattan_spearman
value: 81.64626599410026
verified: false
- task:
type: Reranking
dataset:
name: MTEB T2Reranking
type: C-MTEB/T2Reranking
config: default
split: dev
revision: 76631901a18387f85eaa53e5450019b87ad58ef9
metrics:
- type: map
value: 67.80129586475687
verified: false
- type: mrr
value: 77.77402311635554
verified: false
- task:
type: Retrieval
dataset:
name: MTEB T2Retrieval
type: C-MTEB/T2Retrieval
config: default
split: dev
revision: 8731a845f1bf500a4f111cf1070785c793d10e64
metrics:
- type: map_at_1
value: 28.666999999999998
verified: false
- type: map_at_10
value: 81.063
verified: false
- type: map_at_100
value: 84.504
verified: false
- type: map_at_1000
value: 84.552
verified: false
- type: map_at_3
value: 56.897
verified: false
- type: map_at_5
value: 70.073
verified: false
- type: mrr_at_1
value: 92.087
verified: false
- type: mrr_at_10
value: 94.132
verified: false
- type: mrr_at_100
value: 94.19800000000001
verified: false
- type: mrr_at_1000
value: 94.19999999999999
verified: false
- type: mrr_at_3
value: 93.78999999999999
verified: false
- type: mrr_at_5
value: 94.002
verified: false
- type: ndcg_at_1
value: 92.087
verified: false
- type: ndcg_at_10
value: 87.734
verified: false
- type: ndcg_at_100
value: 90.736
verified: false
- type: ndcg_at_1000
value: 91.184
verified: false
- type: ndcg_at_3
value: 88.78
verified: false
- type: ndcg_at_5
value: 87.676
verified: false
- type: precision_at_1
value: 92.087
verified: false
- type: precision_at_10
value: 43.46
verified: false
- type: precision_at_100
value: 5.07
verified: false
- type: precision_at_1000
value: 0.518
verified: false
- type: precision_at_3
value: 77.49000000000001
verified: false
- type: precision_at_5
value: 65.194
verified: false
- type: recall_at_1
value: 28.666999999999998
verified: false
- type: recall_at_10
value: 86.632
verified: false
- type: recall_at_100
value: 96.646
verified: false
- type: recall_at_1000
value: 98.917
verified: false
- type: recall_at_3
value: 58.333999999999996
verified: false
- type: recall_at_5
value: 72.974
verified: false
- task:
type: Classification
dataset:
name: MTEB TNews
type: C-MTEB/TNews-classification
config: default
split: validation
revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
metrics:
- type: accuracy
value: 52.971999999999994
verified: false
- type: f1
value: 50.2898280984929
verified: false
- task:
type: Clustering
dataset:
name: MTEB ThuNewsClusteringP2P
type: C-MTEB/ThuNewsClusteringP2P
config: default
split: test
revision: 5798586b105c0434e4f0fe5e767abe619442cf93
metrics:
- type: v_measure
value: 86.0797948663824
verified: false
- task:
type: Clustering
dataset:
name: MTEB ThuNewsClusteringS2S
type: C-MTEB/ThuNewsClusteringS2S
config: default
split: test
revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
metrics:
- type: v_measure
value: 85.10759092255017
verified: false
- task:
type: Retrieval
dataset:
name: MTEB VideoRetrieval
type: C-MTEB/VideoRetrieval
config: default
split: dev
revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
metrics:
- type: map_at_1
value: 65.60000000000001
verified: false
- type: map_at_10
value: 74.773
verified: false
- type: map_at_100
value: 75.128
verified: false
- type: map_at_1000
value: 75.136
verified: false
- type: map_at_3
value: 73.05
verified: false
- type: map_at_5
value: 74.13499999999999
verified: false
- type: mrr_at_1
value: 65.60000000000001
verified: false
- type: mrr_at_10
value: 74.773
verified: false
- type: mrr_at_100
value: 75.128
verified: false
- type: mrr_at_1000
value: 75.136
verified: false
- type: mrr_at_3
value: 73.05
verified: false
- type: mrr_at_5
value: 74.13499999999999
verified: false
- type: ndcg_at_1
value: 65.60000000000001
verified: false
- type: ndcg_at_10
value: 78.84299999999999
verified: false
- type: ndcg_at_100
value: 80.40899999999999
verified: false
- type: ndcg_at_1000
value: 80.57
verified: false
- type: ndcg_at_3
value: 75.40599999999999
verified: false
- type: ndcg_at_5
value: 77.351
verified: false
- type: precision_at_1
value: 65.60000000000001
verified: false
- type: precision_at_10
value: 9.139999999999999
verified: false
- type: precision_at_100
value: 0.984
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 27.400000000000002
verified: false
- type: precision_at_5
value: 17.380000000000003
verified: false
- type: recall_at_1
value: 65.60000000000001
verified: false
- type: recall_at_10
value: 91.4
verified: false
- type: recall_at_100
value: 98.4
verified: false
- type: recall_at_1000
value: 99.6
verified: false
- type: recall_at_3
value: 82.19999999999999
verified: false
- type: recall_at_5
value: 86.9
verified: false
- task:
type: Classification
dataset:
name: MTEB Waimai
type: C-MTEB/waimai-classification
config: default
split: test
revision: 339287def212450dcaa9df8c22bf93e9980c7023
metrics:
- type: accuracy
value: 89.47
verified: false
- type: ap
value: 75.59561751845389
verified: false
- type: f1
value: 87.95207751382563
verified: false
- task:
type: Clustering
dataset:
name: MTEB AlloProfClusteringP2P
type: lyon-nlp/alloprof
config: default
split: test
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
metrics:
- type: v_measure
value: 76.05592323841036
verified: false
- type: v_measure
value: 64.51718058866508
verified: false
- task:
type: Reranking
dataset:
name: MTEB AlloprofReranking
type: lyon-nlp/mteb-fr-reranking-alloprof-s2p
config: default
split: test
revision: 666fdacebe0291776e86f29345663dfaf80a0db9
metrics:
- type: map
value: 73.08278490943373
verified: false
- type: mrr
value: 74.66561454570449
verified: false
- task:
type: Retrieval
dataset:
name: MTEB AlloprofRetrieval
type: lyon-nlp/alloprof
config: default
split: test
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
metrics:
- type: map_at_1
value: 38.912
verified: false
- type: map_at_10
value: 52.437999999999995
verified: false
- type: map_at_100
value: 53.38
verified: false
- type: map_at_1000
value: 53.427
verified: false
- type: map_at_3
value: 48.879
verified: false
- type: map_at_5
value: 50.934000000000005
verified: false
- type: mrr_at_1
value: 44.085
verified: false
- type: mrr_at_10
value: 55.337
verified: false
- type: mrr_at_100
value: 56.016999999999996
verified: false
- type: mrr_at_1000
value: 56.043
verified: false
- type: mrr_at_3
value: 52.55499999999999
verified: false
- type: mrr_at_5
value: 54.20399999999999
verified: false
- type: ndcg_at_1
value: 44.085
verified: false
- type: ndcg_at_10
value: 58.876
verified: false
- type: ndcg_at_100
value: 62.714000000000006
verified: false
- type: ndcg_at_1000
value: 63.721000000000004
verified: false
- type: ndcg_at_3
value: 52.444
verified: false
- type: ndcg_at_5
value: 55.692
verified: false
- type: precision_at_1
value: 44.085
verified: false
- type: precision_at_10
value: 9.21
verified: false
- type: precision_at_100
value: 1.164
verified: false
- type: precision_at_1000
value: 0.128
verified: false
- type: precision_at_3
value: 23.043
verified: false
- type: precision_at_5
value: 15.898000000000001
verified: false
- type: recall_at_1
value: 38.912
verified: false
- type: recall_at_10
value: 75.577
verified: false
- type: recall_at_100
value: 92.038
verified: false
- type: recall_at_1000
value: 99.325
verified: false
- type: recall_at_3
value: 58.592
verified: false
- type: recall_at_5
value: 66.235
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (fr)
type: mteb/amazon_reviews_multi
config: fr
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 55.532000000000004
verified: false
- type: f1
value: 52.5783943471605
verified: false
- task:
type: Retrieval
dataset:
name: MTEB BSARDRetrieval
type: maastrichtlawtech/bsard
config: default
split: test
revision: 5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59
metrics:
- type: map_at_1
value: 8.108
verified: false
- type: map_at_10
value: 14.710999999999999
verified: false
- type: map_at_100
value: 15.891
verified: false
- type: map_at_1000
value: 15.983
verified: false
- type: map_at_3
value: 12.237
verified: false
- type: map_at_5
value: 13.679
verified: false
- type: mrr_at_1
value: 8.108
verified: false
- type: mrr_at_10
value: 14.710999999999999
verified: false
- type: mrr_at_100
value: 15.891
verified: false
- type: mrr_at_1000
value: 15.983
verified: false
- type: mrr_at_3
value: 12.237
verified: false
- type: mrr_at_5
value: 13.679
verified: false
- type: ndcg_at_1
value: 8.108
verified: false
- type: ndcg_at_10
value: 18.796
verified: false
- type: ndcg_at_100
value: 25.098
verified: false
- type: ndcg_at_1000
value: 27.951999999999998
verified: false
- type: ndcg_at_3
value: 13.712
verified: false
- type: ndcg_at_5
value: 16.309
verified: false
- type: precision_at_1
value: 8.108
verified: false
- type: precision_at_10
value: 3.198
verified: false
- type: precision_at_100
value: 0.626
verified: false
- type: precision_at_1000
value: 0.086
verified: false
- type: precision_at_3
value: 6.006
verified: false
- type: precision_at_5
value: 4.865
verified: false
- type: recall_at_1
value: 8.108
verified: false
- type: recall_at_10
value: 31.982
verified: false
- type: recall_at_100
value: 62.613
verified: false
- type: recall_at_1000
value: 86.036
verified: false
- type: recall_at_3
value: 18.018
verified: false
- type: recall_at_5
value: 24.324
verified: false
- task:
type: Clustering
dataset:
name: MTEB HALClusteringS2S
type: lyon-nlp/clustering-hal-s2s
config: default
split: test
revision: e06ebbbb123f8144bef1a5d18796f3dec9ae2915
metrics:
- type: v_measure
value: 30.833269778867116
verified: false
- task:
type: Clustering
dataset:
name: MTEB MLSUMClusteringP2P
type: mlsum
config: default
split: test
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
metrics:
- type: v_measure
value: 50.0281928004713
verified: false
- type: v_measure
value: 43.699961510636534
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (fr)
type: mteb/mtop_domain
config: fr
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 96.68963357344191
verified: false
- type: f1
value: 96.45175170820961
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (fr)
type: mteb/mtop_intent
config: fr
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 87.46946445349202
verified: false
- type: f1
value: 65.79860440988624
verified: false
- task:
type: Classification
dataset:
name: MTEB MasakhaNEWSClassification (fra)
type: masakhane/masakhanews
config: fra
split: test
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
metrics:
- type: accuracy
value: 82.60663507109005
verified: false
- type: f1
value: 77.20462646604777
verified: false
- task:
type: Clustering
dataset:
name: MTEB MasakhaNEWSClusteringP2P (fra)
type: masakhane/masakhanews
config: fra
split: test
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
metrics:
- type: v_measure
value: 60.19311264967803
verified: false
- type: v_measure
value: 63.6235764409785
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification (fr)
type: mteb/amazon_massive_intent
config: fr
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 81.65097511768661
verified: false
- type: f1
value: 78.77796091490924
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (fr)
type: mteb/amazon_massive_scenario
config: fr
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 86.64425016812373
verified: false
- type: f1
value: 85.4912728670017
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MintakaRetrieval (fr)
type: jinaai/mintakaqa
config: fr
split: test
revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
metrics:
- type: map_at_1
value: 35.913000000000004
verified: false
- type: map_at_10
value: 48.147
verified: false
- type: map_at_100
value: 48.91
verified: false
- type: map_at_1000
value: 48.949
verified: false
- type: map_at_3
value: 45.269999999999996
verified: false
- type: map_at_5
value: 47.115
verified: false
- type: mrr_at_1
value: 35.913000000000004
verified: false
- type: mrr_at_10
value: 48.147
verified: false
- type: mrr_at_100
value: 48.91
verified: false
- type: mrr_at_1000
value: 48.949
verified: false
- type: mrr_at_3
value: 45.269999999999996
verified: false
- type: mrr_at_5
value: 47.115
verified: false
- type: ndcg_at_1
value: 35.913000000000004
verified: false
- type: ndcg_at_10
value: 54.03
verified: false
- type: ndcg_at_100
value: 57.839
verified: false
- type: ndcg_at_1000
value: 58.925000000000004
verified: false
- type: ndcg_at_3
value: 48.217999999999996
verified: false
- type: ndcg_at_5
value: 51.56699999999999
verified: false
- type: precision_at_1
value: 35.913000000000004
verified: false
- type: precision_at_10
value: 7.244000000000001
verified: false
- type: precision_at_100
value: 0.9039999999999999
verified: false
- type: precision_at_1000
value: 0.099
verified: false
- type: precision_at_3
value: 18.905
verified: false
- type: precision_at_5
value: 12.981000000000002
verified: false
- type: recall_at_1
value: 35.913000000000004
verified: false
- type: recall_at_10
value: 72.441
verified: false
- type: recall_at_100
value: 90.41799999999999
verified: false
- type: recall_at_1000
value: 99.099
verified: false
- type: recall_at_3
value: 56.716
verified: false
- type: recall_at_5
value: 64.90599999999999
verified: false
- task:
type: PairClassification
dataset:
name: MTEB OpusparcusPC (fr)
type: GEM/opusparcus
config: fr
split: test
revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
metrics:
- type: cos_sim_accuracy
value: 99.90069513406156
verified: false
- type: cos_sim_ap
value: 100
verified: false
- type: cos_sim_f1
value: 99.95032290114257
verified: false
- type: cos_sim_precision
value: 100
verified: false
- type: cos_sim_recall
value: 99.90069513406156
verified: false
- type: dot_accuracy
value: 99.90069513406156
verified: false
- type: dot_ap
value: 100
verified: false
- type: dot_f1
value: 99.95032290114257
verified: false
- type: dot_precision
value: 100
verified: false
- type: dot_recall
value: 99.90069513406156
verified: false
- type: euclidean_accuracy
value: 99.90069513406156
verified: false
- type: euclidean_ap
value: 100
verified: false
- type: euclidean_f1
value: 99.95032290114257
verified: false
- type: euclidean_precision
value: 100
verified: false
- type: euclidean_recall
value: 99.90069513406156
verified: false
- type: manhattan_accuracy
value: 99.90069513406156
verified: false
- type: manhattan_ap
value: 100
verified: false
- type: manhattan_f1
value: 99.95032290114257
verified: false
- type: manhattan_precision
value: 100
verified: false
- type: manhattan_recall
value: 99.90069513406156
verified: false
- type: max_accuracy
value: 99.90069513406156
verified: false
- type: max_ap
value: 100
verified: false
- type: max_f1
value: 99.95032290114257
verified: false
- task:
type: PairClassification
dataset:
name: MTEB PawsX (fr)
type: paws-x
config: fr
split: test
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
metrics:
- type: cos_sim_accuracy
value: 75.25
verified: false
- type: cos_sim_ap
value: 80.86376001270014
verified: false
- type: cos_sim_f1
value: 73.65945437441204
verified: false
- type: cos_sim_precision
value: 64.02289452166802
verified: false
- type: cos_sim_recall
value: 86.71096345514951
verified: false
- type: dot_accuracy
value: 75.25
verified: false
- type: dot_ap
value: 80.93686107633002
verified: false
- type: dot_f1
value: 73.65945437441204
verified: false
- type: dot_precision
value: 64.02289452166802
verified: false
- type: dot_recall
value: 86.71096345514951
verified: false
- type: euclidean_accuracy
value: 75.25
verified: false
- type: euclidean_ap
value: 80.86379136218862
verified: false
- type: euclidean_f1
value: 73.65945437441204
verified: false
- type: euclidean_precision
value: 64.02289452166802
verified: false
- type: euclidean_recall
value: 86.71096345514951
verified: false
- type: manhattan_accuracy
value: 75.3
verified: false
- type: manhattan_ap
value: 80.87826606097734
verified: false
- type: manhattan_f1
value: 73.68421052631581
verified: false
- type: manhattan_precision
value: 64
verified: false
- type: manhattan_recall
value: 86.82170542635659
verified: false
- type: max_accuracy
value: 75.3
verified: false
- type: max_ap
value: 80.93686107633002
verified: false
- type: max_f1
value: 73.68421052631581
verified: false
- task:
type: STS
dataset:
name: MTEB SICKFr
type: Lajavaness/SICK-fr
config: default
split: test
revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
metrics:
- type: cos_sim_pearson
value: 81.42349425981143
verified: false
- type: cos_sim_spearman
value: 78.90454327031226
verified: false
- type: euclidean_pearson
value: 78.39086497435166
verified: false
- type: euclidean_spearman
value: 78.9046133980509
verified: false
- type: manhattan_pearson
value: 78.63743094286502
verified: false
- type: manhattan_spearman
value: 79.12136348449269
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (fr)
type: mteb/sts22-crosslingual-sts
config: fr
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 81.452697919749
verified: false
- type: cos_sim_spearman
value: 82.58116836039301
verified: false
- type: euclidean_pearson
value: 81.04038478932786
verified: false
- type: euclidean_spearman
value: 82.58116836039301
verified: false
- type: manhattan_pearson
value: 81.37075396187771
verified: false
- type: manhattan_spearman
value: 82.73678231355368
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmarkMultilingualSTS (fr)
type: stsb_multi_mt
config: fr
split: test
revision: 93d57ef91790589e3ce9c365164337a8a78b7632
metrics:
- type: cos_sim_pearson
value: 85.7419764013806
verified: false
- type: cos_sim_spearman
value: 85.46085808849622
verified: false
- type: euclidean_pearson
value: 83.70449639870063
verified: false
- type: euclidean_spearman
value: 85.46159013076233
verified: false
- type: manhattan_pearson
value: 83.95259510313929
verified: false
- type: manhattan_spearman
value: 85.8029724659458
verified: false
- task:
type: Summarization
dataset:
name: MTEB SummEvalFr
type: lyon-nlp/summarization-summeval-fr-p2p
config: default
split: test
revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
metrics:
- type: cos_sim_pearson
value: 32.61063271753325
verified: false
- type: cos_sim_spearman
value: 31.454589417353603
verified: false
- type: dot_pearson
value: 32.6106288643431
verified: false
- type: dot_spearman
value: 31.454589417353603
verified: false
- task:
type: Reranking
dataset:
name: MTEB SyntecReranking
type: lyon-nlp/mteb-fr-reranking-syntec-s2p
config: default
split: test
revision: b205c5084a0934ce8af14338bf03feb19499c84d
metrics:
- type: map
value: 84.31666666666666
verified: false
- type: mrr
value: 84.31666666666666
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SyntecRetrieval
type: lyon-nlp/mteb-fr-retrieval-syntec-s2p
config: default
split: test
revision: 77f7e271bf4a92b24fce5119f3486b583ca016ff
metrics:
- type: map_at_1
value: 63
verified: false
- type: map_at_10
value: 73.471
verified: false
- type: map_at_100
value: 73.87
verified: false
- type: map_at_1000
value: 73.87
verified: false
- type: map_at_3
value: 70.5
verified: false
- type: map_at_5
value: 73.05
verified: false
- type: mrr_at_1
value: 63
verified: false
- type: mrr_at_10
value: 73.471
verified: false
- type: mrr_at_100
value: 73.87
verified: false
- type: mrr_at_1000
value: 73.87
verified: false
- type: mrr_at_3
value: 70.5
verified: false
- type: mrr_at_5
value: 73.05
verified: false
- type: ndcg_at_1
value: 63
verified: false
- type: ndcg_at_10
value: 78.255
verified: false
- type: ndcg_at_100
value: 79.88
verified: false
- type: ndcg_at_1000
value: 79.88
verified: false
- type: ndcg_at_3
value: 72.702
verified: false
- type: ndcg_at_5
value: 77.264
verified: false
- type: precision_at_1
value: 63
verified: false
- type: precision_at_10
value: 9.3
verified: false
- type: precision_at_100
value: 1
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 26.333000000000002
verified: false
- type: precision_at_5
value: 18
verified: false
- type: recall_at_1
value: 63
verified: false
- type: recall_at_10
value: 93
verified: false
- type: recall_at_100
value: 100
verified: false
- type: recall_at_1000
value: 100
verified: false
- type: recall_at_3
value: 79
verified: false
- type: recall_at_5
value: 90
verified: false
- task:
type: Retrieval
dataset:
name: MTEB XPQARetrieval (fr)
type: jinaai/xpqa
config: fr
split: test
revision: c99d599f0a6ab9b85b065da6f9d94f9cf731679f
metrics:
- type: map_at_1
value: 40.338
verified: false
- type: map_at_10
value: 61.927
verified: false
- type: map_at_100
value: 63.361999999999995
verified: false
- type: map_at_1000
value: 63.405
verified: false
- type: map_at_3
value: 55.479
verified: false
- type: map_at_5
value: 59.732
verified: false
- type: mrr_at_1
value: 63.551
verified: false
- type: mrr_at_10
value: 71.006
verified: false
- type: mrr_at_100
value: 71.501
verified: false
- type: mrr_at_1000
value: 71.509
verified: false
- type: mrr_at_3
value: 69.07
verified: false
- type: mrr_at_5
value: 70.165
verified: false
- type: ndcg_at_1
value: 63.551
verified: false
- type: ndcg_at_10
value: 68.297
verified: false
- type: ndcg_at_100
value: 73.13199999999999
verified: false
- type: ndcg_at_1000
value: 73.751
verified: false
- type: ndcg_at_3
value: 62.999
verified: false
- type: ndcg_at_5
value: 64.89
verified: false
- type: precision_at_1
value: 63.551
verified: false
- type: precision_at_10
value: 15.661
verified: false
- type: precision_at_100
value: 1.9789999999999999
verified: false
- type: precision_at_1000
value: 0.207
verified: false
- type: precision_at_3
value: 38.273
verified: false
- type: precision_at_5
value: 27.61
verified: false
- type: recall_at_1
value: 40.338
verified: false
- type: recall_at_10
value: 77.267
verified: false
- type: recall_at_100
value: 95.892
verified: false
- type: recall_at_1000
value: 99.75500000000001
verified: false
- type: recall_at_3
value: 60.36
verified: false
- type: recall_at_5
value: 68.825
verified: false
- task:
type: Clustering
dataset:
name: MTEB 8TagsClustering
type: PL-MTEB/8tags-clustering
config: default
split: test
revision: None
metrics:
- type: v_measure
value: 51.36126303874126
verified: false
- task:
type: Classification
dataset:
name: MTEB AllegroReviews
type: PL-MTEB/allegro-reviews
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 67.13717693836979
verified: false
- type: f1
value: 57.27609848003782
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna-PL
type: clarin-knext/arguana-pl
config: default
split: test
revision: 63fc86750af76253e8c760fc9e534bbf24d260a2
metrics:
- type: map_at_1
value: 35.276999999999994
verified: false
- type: map_at_10
value: 51.086
verified: false
- type: map_at_100
value: 51.788000000000004
verified: false
- type: map_at_1000
value: 51.791
verified: false
- type: map_at_3
value: 46.147
verified: false
- type: map_at_5
value: 49.078
verified: false
- type: mrr_at_1
value: 35.917
verified: false
- type: mrr_at_10
value: 51.315999999999995
verified: false
- type: mrr_at_100
value: 52.018
verified: false
- type: mrr_at_1000
value: 52.022
verified: false
- type: mrr_at_3
value: 46.349000000000004
verified: false
- type: mrr_at_5
value: 49.297000000000004
verified: false
- type: ndcg_at_1
value: 35.276999999999994
verified: false
- type: ndcg_at_10
value: 59.870999999999995
verified: false
- type: ndcg_at_100
value: 62.590999999999994
verified: false
- type: ndcg_at_1000
value: 62.661
verified: false
- type: ndcg_at_3
value: 49.745
verified: false
- type: ndcg_at_5
value: 55.067
verified: false
- type: precision_at_1
value: 35.276999999999994
verified: false
- type: precision_at_10
value: 8.791
verified: false
- type: precision_at_100
value: 0.991
verified: false
- type: precision_at_1000
value: 0.1
verified: false
- type: precision_at_3
value: 20.057
verified: false
- type: precision_at_5
value: 14.637
verified: false
- type: recall_at_1
value: 35.276999999999994
verified: false
- type: recall_at_10
value: 87.909
verified: false
- type: recall_at_100
value: 99.14699999999999
verified: false
- type: recall_at_1000
value: 99.644
verified: false
- type: recall_at_3
value: 60.171
verified: false
- type: recall_at_5
value: 73.18599999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB CBD
type: PL-MTEB/cbd
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 78.03000000000002
verified: false
- type: ap
value: 29.12548553897622
verified: false
- type: f1
value: 66.54857118886073
verified: false
- task:
type: PairClassification
dataset:
name: MTEB CDSC-E
type: PL-MTEB/cdsce-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_accuracy
value: 89
verified: false
- type: cos_sim_ap
value: 76.75437826834582
verified: false
- type: cos_sim_f1
value: 66.4850136239782
verified: false
- type: cos_sim_precision
value: 68.92655367231639
verified: false
- type: cos_sim_recall
value: 64.21052631578948
verified: false
- type: dot_accuracy
value: 89
verified: false
- type: dot_ap
value: 76.75437826834582
verified: false
- type: dot_f1
value: 66.4850136239782
verified: false
- type: dot_precision
value: 68.92655367231639
verified: false
- type: dot_recall
value: 64.21052631578948
verified: false
- type: euclidean_accuracy
value: 89
verified: false
- type: euclidean_ap
value: 76.75437826834582
verified: false
- type: euclidean_f1
value: 66.4850136239782
verified: false
- type: euclidean_precision
value: 68.92655367231639
verified: false
- type: euclidean_recall
value: 64.21052631578948
verified: false
- type: manhattan_accuracy
value: 89
verified: false
- type: manhattan_ap
value: 76.66074220647083
verified: false
- type: manhattan_f1
value: 66.47058823529412
verified: false
- type: manhattan_precision
value: 75.33333333333333
verified: false
- type: manhattan_recall
value: 59.473684210526315
verified: false
- type: max_accuracy
value: 89
verified: false
- type: max_ap
value: 76.75437826834582
verified: false
- type: max_f1
value: 66.4850136239782
verified: false
- task:
type: STS
dataset:
name: MTEB CDSC-R
type: PL-MTEB/cdscr-sts
config: default
split: test
revision: None
metrics:
- type: cos_sim_pearson
value: 93.12903172428328
verified: false
- type: cos_sim_spearman
value: 92.66381487060741
verified: false
- type: euclidean_pearson
value: 90.37278396708922
verified: false
- type: euclidean_spearman
value: 92.66381487060741
verified: false
- type: manhattan_pearson
value: 90.32503296540962
verified: false
- type: manhattan_spearman
value: 92.6902938354313
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia-PL
type: clarin-knext/dbpedia-pl
config: default
split: test
revision: 76afe41d9af165cc40999fcaa92312b8b012064a
metrics:
- type: map_at_1
value: 8.83
verified: false
- type: map_at_10
value: 18.326
verified: false
- type: map_at_100
value: 26.496
verified: false
- type: map_at_1000
value: 28.455000000000002
verified: false
- type: map_at_3
value: 12.933
verified: false
- type: map_at_5
value: 15.168000000000001
verified: false
- type: mrr_at_1
value: 66
verified: false
- type: mrr_at_10
value: 72.76700000000001
verified: false
- type: mrr_at_100
value: 73.203
verified: false
- type: mrr_at_1000
value: 73.219
verified: false
- type: mrr_at_3
value: 71.458
verified: false
- type: mrr_at_5
value: 72.246
verified: false
- type: ndcg_at_1
value: 55.375
verified: false
- type: ndcg_at_10
value: 41.3
verified: false
- type: ndcg_at_100
value: 45.891
verified: false
- type: ndcg_at_1000
value: 52.905
verified: false
- type: ndcg_at_3
value: 46.472
verified: false
- type: ndcg_at_5
value: 43.734
verified: false
- type: precision_at_1
value: 66
verified: false
- type: precision_at_10
value: 33.074999999999996
verified: false
- type: precision_at_100
value: 11.094999999999999
verified: false
- type: precision_at_1000
value: 2.374
verified: false
- type: precision_at_3
value: 48.583
verified: false
- type: precision_at_5
value: 42
verified: false
- type: recall_at_1
value: 8.83
verified: false
- type: recall_at_10
value: 22.587
verified: false
- type: recall_at_100
value: 50.61600000000001
verified: false
- type: recall_at_1000
value: 73.559
verified: false
- type: recall_at_3
value: 13.688
verified: false
- type: recall_at_5
value: 16.855
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA-PL
type: clarin-knext/fiqa-pl
config: default
split: test
revision: 2e535829717f8bf9dc829b7f911cc5bbd4e6608e
metrics:
- type: map_at_1
value: 20.587
verified: false
- type: map_at_10
value: 33.095
verified: false
- type: map_at_100
value: 35.24
verified: false
- type: map_at_1000
value: 35.429
verified: false
- type: map_at_3
value: 28.626
verified: false
- type: map_at_5
value: 31.136999999999997
verified: false
- type: mrr_at_1
value: 40.586
verified: false
- type: mrr_at_10
value: 49.033
verified: false
- type: mrr_at_100
value: 49.952999999999996
verified: false
- type: mrr_at_1000
value: 49.992
verified: false
- type: mrr_at_3
value: 46.553
verified: false
- type: mrr_at_5
value: 48.035
verified: false
- type: ndcg_at_1
value: 40.586
verified: false
- type: ndcg_at_10
value: 41.046
verified: false
- type: ndcg_at_100
value: 48.586
verified: false
- type: ndcg_at_1000
value: 51.634
verified: false
- type: ndcg_at_3
value: 36.773
verified: false
- type: ndcg_at_5
value: 38.389
verified: false
- type: precision_at_1
value: 40.586
verified: false
- type: precision_at_10
value: 11.466
verified: false
- type: precision_at_100
value: 1.909
verified: false
- type: precision_at_1000
value: 0.245
verified: false
- type: precision_at_3
value: 24.434
verified: false
- type: precision_at_5
value: 18.426000000000002
verified: false
- type: recall_at_1
value: 20.587
verified: false
- type: recall_at_10
value: 47.986000000000004
verified: false
- type: recall_at_100
value: 75.761
verified: false
- type: recall_at_1000
value: 94.065
verified: false
- type: recall_at_3
value: 33.339
verified: false
- type: recall_at_5
value: 39.765
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA-PL
type: clarin-knext/hotpotqa-pl
config: default
split: test
revision: a0bd479ac97b4ccb5bd6ce320c415d0bb4beb907
metrics:
- type: map_at_1
value: 40.878
verified: false
- type: map_at_10
value: 58.775999999999996
verified: false
- type: map_at_100
value: 59.632
verified: false
- type: map_at_1000
value: 59.707
verified: false
- type: map_at_3
value: 56.074
verified: false
- type: map_at_5
value: 57.629
verified: false
- type: mrr_at_1
value: 81.756
verified: false
- type: mrr_at_10
value: 86.117
verified: false
- type: mrr_at_100
value: 86.299
verified: false
- type: mrr_at_1000
value: 86.30600000000001
verified: false
- type: mrr_at_3
value: 85.345
verified: false
- type: mrr_at_5
value: 85.832
verified: false
- type: ndcg_at_1
value: 81.756
verified: false
- type: ndcg_at_10
value: 67.608
verified: false
- type: ndcg_at_100
value: 70.575
verified: false
- type: ndcg_at_1000
value: 71.99600000000001
verified: false
- type: ndcg_at_3
value: 63.723
verified: false
- type: ndcg_at_5
value: 65.70700000000001
verified: false
- type: precision_at_1
value: 81.756
verified: false
- type: precision_at_10
value: 13.619
verified: false
- type: precision_at_100
value: 1.5939999999999999
verified: false
- type: precision_at_1000
value: 0.178
verified: false
- type: precision_at_3
value: 39.604
verified: false
- type: precision_at_5
value: 25.332
verified: false
- type: recall_at_1
value: 40.878
verified: false
- type: recall_at_10
value: 68.096
verified: false
- type: recall_at_100
value: 79.696
verified: false
- type: recall_at_1000
value: 89.082
verified: false
- type: recall_at_3
value: 59.406000000000006
verified: false
- type: recall_at_5
value: 63.329
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MSMARCO-PL
type: clarin-knext/msmarco-pl
config: default
split: test
revision: 8634c07806d5cce3a6138e260e59b81760a0a640
metrics:
- type: map_at_1
value: 2.1839999999999997
verified: false
- type: map_at_10
value: 11.346
verified: false
- type: map_at_100
value: 30.325000000000003
verified: false
- type: map_at_1000
value: 37.806
verified: false
- type: map_at_3
value: 4.842
verified: false
- type: map_at_5
value: 6.891
verified: false
- type: mrr_at_1
value: 86.047
verified: false
- type: mrr_at_10
value: 89.14699999999999
verified: false
- type: mrr_at_100
value: 89.46600000000001
verified: false
- type: mrr_at_1000
value: 89.46600000000001
verified: false
- type: mrr_at_3
value: 89.14699999999999
verified: false
- type: mrr_at_5
value: 89.14699999999999
verified: false
- type: ndcg_at_1
value: 67.829
verified: false
- type: ndcg_at_10
value: 62.222
verified: false
- type: ndcg_at_100
value: 55.337
verified: false
- type: ndcg_at_1000
value: 64.076
verified: false
- type: ndcg_at_3
value: 68.12700000000001
verified: false
- type: ndcg_at_5
value: 64.987
verified: false
- type: precision_at_1
value: 86.047
verified: false
- type: precision_at_10
value: 69.535
verified: false
- type: precision_at_100
value: 32.93
verified: false
- type: precision_at_1000
value: 6.6049999999999995
verified: false
- type: precision_at_3
value: 79.845
verified: false
- type: precision_at_5
value: 75.349
verified: false
- type: recall_at_1
value: 2.1839999999999997
verified: false
- type: recall_at_10
value: 12.866
verified: false
- type: recall_at_100
value: 43.505
verified: false
- type: recall_at_1000
value: 72.366
verified: false
- type: recall_at_3
value: 4.947
verified: false
- type: recall_at_5
value: 7.192
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveIntentClassification (pl)
type: mteb/amazon_massive_intent
config: pl
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics:
- type: accuracy
value: 80.75319435104238
verified: false
- type: f1
value: 77.58961444860606
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (pl)
type: mteb/amazon_massive_scenario
config: pl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 85.54472091459313
verified: false
- type: f1
value: 84.29498563572106
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NFCorpus-PL
type: clarin-knext/nfcorpus-pl
config: default
split: test
revision: 9a6f9567fda928260afed2de480d79c98bf0bec0
metrics:
- type: map_at_1
value: 4.367
verified: false
- type: map_at_10
value: 10.38
verified: false
- type: map_at_100
value: 13.516
verified: false
- type: map_at_1000
value: 14.982000000000001
verified: false
- type: map_at_3
value: 7.367
verified: false
- type: map_at_5
value: 8.59
verified: false
- type: mrr_at_1
value: 41.486000000000004
verified: false
- type: mrr_at_10
value: 48.886
verified: false
- type: mrr_at_100
value: 49.657000000000004
verified: false
- type: mrr_at_1000
value: 49.713
verified: false
- type: mrr_at_3
value: 46.904
verified: false
- type: mrr_at_5
value: 48.065000000000005
verified: false
- type: ndcg_at_1
value: 40.402
verified: false
- type: ndcg_at_10
value: 30.885
verified: false
- type: ndcg_at_100
value: 28.393
verified: false
- type: ndcg_at_1000
value: 37.428
verified: false
- type: ndcg_at_3
value: 35.394999999999996
verified: false
- type: ndcg_at_5
value: 33.391999999999996
verified: false
- type: precision_at_1
value: 41.486000000000004
verified: false
- type: precision_at_10
value: 23.437
verified: false
- type: precision_at_100
value: 7.638
verified: false
- type: precision_at_1000
value: 2.0389999999999997
verified: false
- type: precision_at_3
value: 32.817
verified: false
- type: precision_at_5
value: 28.915999999999997
verified: false
- type: recall_at_1
value: 4.367
verified: false
- type: recall_at_10
value: 14.655000000000001
verified: false
- type: recall_at_100
value: 29.665999999999997
verified: false
- type: recall_at_1000
value: 62.073
verified: false
- type: recall_at_3
value: 8.51
verified: false
- type: recall_at_5
value: 10.689
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NQ-PL
type: clarin-knext/nq-pl
config: default
split: test
revision: f171245712cf85dd4700b06bef18001578d0ca8d
metrics:
- type: map_at_1
value: 28.616000000000003
verified: false
- type: map_at_10
value: 41.626000000000005
verified: false
- type: map_at_100
value: 42.689
verified: false
- type: map_at_1000
value: 42.733
verified: false
- type: map_at_3
value: 37.729
verified: false
- type: map_at_5
value: 39.879999999999995
verified: false
- type: mrr_at_1
value: 32.068000000000005
verified: false
- type: mrr_at_10
value: 44.029
verified: false
- type: mrr_at_100
value: 44.87
verified: false
- type: mrr_at_1000
value: 44.901
verified: false
- type: mrr_at_3
value: 40.687
verified: false
- type: mrr_at_5
value: 42.625
verified: false
- type: ndcg_at_1
value: 32.068000000000005
verified: false
- type: ndcg_at_10
value: 48.449999999999996
verified: false
- type: ndcg_at_100
value: 53.13
verified: false
- type: ndcg_at_1000
value: 54.186
verified: false
- type: ndcg_at_3
value: 40.983999999999995
verified: false
- type: ndcg_at_5
value: 44.628
verified: false
- type: precision_at_1
value: 32.068000000000005
verified: false
- type: precision_at_10
value: 7.9750000000000005
verified: false
- type: precision_at_100
value: 1.061
verified: false
- type: precision_at_1000
value: 0.116
verified: false
- type: precision_at_3
value: 18.404999999999998
verified: false
- type: precision_at_5
value: 13.111
verified: false
- type: recall_at_1
value: 28.616000000000003
verified: false
- type: recall_at_10
value: 66.956
verified: false
- type: recall_at_100
value: 87.657
verified: false
- type: recall_at_1000
value: 95.548
verified: false
- type: recall_at_3
value: 47.453
verified: false
- type: recall_at_5
value: 55.87800000000001
verified: false
- task:
type: Classification
dataset:
name: MTEB PAC
type: laugustyniak/abusive-clauses-pl
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 69.04141326382856
verified: false
- type: ap
value: 77.47589122111044
verified: false
- type: f1
value: 66.6332277374775
verified: false
- task:
type: PairClassification
dataset:
name: MTEB PPC
type: PL-MTEB/ppc-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_accuracy
value: 86.4
verified: false
- type: cos_sim_ap
value: 94.1044939667201
verified: false
- type: cos_sim_f1
value: 88.78048780487805
verified: false
- type: cos_sim_precision
value: 87.22044728434504
verified: false
- type: cos_sim_recall
value: 90.39735099337747
verified: false
- type: dot_accuracy
value: 86.4
verified: false
- type: dot_ap
value: 94.1044939667201
verified: false
- type: dot_f1
value: 88.78048780487805
verified: false
- type: dot_precision
value: 87.22044728434504
verified: false
- type: dot_recall
value: 90.39735099337747
verified: false
- type: euclidean_accuracy
value: 86.4
verified: false
- type: euclidean_ap
value: 94.1044939667201
verified: false
- type: euclidean_f1
value: 88.78048780487805
verified: false
- type: euclidean_precision
value: 87.22044728434504
verified: false
- type: euclidean_recall
value: 90.39735099337747
verified: false
- type: manhattan_accuracy
value: 86.4
verified: false
- type: manhattan_ap
value: 94.11438365697387
verified: false
- type: manhattan_f1
value: 88.77968877968877
verified: false
- type: manhattan_precision
value: 87.84440842787681
verified: false
- type: manhattan_recall
value: 89.73509933774835
verified: false
- type: max_accuracy
value: 86.4
verified: false
- type: max_ap
value: 94.11438365697387
verified: false
- type: max_f1
value: 88.78048780487805
verified: false
- task:
type: PairClassification
dataset:
name: MTEB PSC
type: PL-MTEB/psc-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_accuracy
value: 97.86641929499072
verified: false
- type: cos_sim_ap
value: 99.36904211868182
verified: false
- type: cos_sim_f1
value: 96.56203288490283
verified: false
- type: cos_sim_precision
value: 94.72140762463343
verified: false
- type: cos_sim_recall
value: 98.47560975609755
verified: false
- type: dot_accuracy
value: 97.86641929499072
verified: false
- type: dot_ap
value: 99.36904211868183
verified: false
- type: dot_f1
value: 96.56203288490283
verified: false
- type: dot_precision
value: 94.72140762463343
verified: false
- type: dot_recall
value: 98.47560975609755
verified: false
- type: euclidean_accuracy
value: 97.86641929499072
verified: false
- type: euclidean_ap
value: 99.36904211868183
verified: false
- type: euclidean_f1
value: 96.56203288490283
verified: false
- type: euclidean_precision
value: 94.72140762463343
verified: false
- type: euclidean_recall
value: 98.47560975609755
verified: false
- type: manhattan_accuracy
value: 98.14471243042672
verified: false
- type: manhattan_ap
value: 99.43359540492416
verified: false
- type: manhattan_f1
value: 96.98795180722892
verified: false
- type: manhattan_precision
value: 95.83333333333334
verified: false
- type: manhattan_recall
value: 98.17073170731707
verified: false
- type: max_accuracy
value: 98.14471243042672
verified: false
- type: max_ap
value: 99.43359540492416
verified: false
- type: max_f1
value: 96.98795180722892
verified: false
- task:
type: Classification
dataset:
name: MTEB PolEmo2.0-IN
type: PL-MTEB/polemo2_in
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 89.39058171745152
verified: false
- type: f1
value: 86.8552093529568
verified: false
- task:
type: Classification
dataset:
name: MTEB PolEmo2.0-OUT
type: PL-MTEB/polemo2_out
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 74.97975708502024
verified: false
- type: f1
value: 58.73081628832407
verified: false
- task:
type: Retrieval
dataset:
name: MTEB Quora-PL
type: clarin-knext/quora-pl
config: default
split: test
revision: 0be27e93455051e531182b85e85e425aba12e9d4
metrics:
- type: map_at_1
value: 64.917
verified: false
- type: map_at_10
value: 78.74600000000001
verified: false
- type: map_at_100
value: 79.501
verified: false
- type: map_at_1000
value: 79.524
verified: false
- type: map_at_3
value: 75.549
verified: false
- type: map_at_5
value: 77.495
verified: false
- type: mrr_at_1
value: 74.9
verified: false
- type: mrr_at_10
value: 82.112
verified: false
- type: mrr_at_100
value: 82.314
verified: false
- type: mrr_at_1000
value: 82.317
verified: false
- type: mrr_at_3
value: 80.745
verified: false
- type: mrr_at_5
value: 81.607
verified: false
- type: ndcg_at_1
value: 74.83999999999999
verified: false
- type: ndcg_at_10
value: 83.214
verified: false
- type: ndcg_at_100
value: 84.997
verified: false
- type: ndcg_at_1000
value: 85.207
verified: false
- type: ndcg_at_3
value: 79.547
verified: false
- type: ndcg_at_5
value: 81.46600000000001
verified: false
- type: precision_at_1
value: 74.83999999999999
verified: false
- type: precision_at_10
value: 12.822
verified: false
- type: precision_at_100
value: 1.506
verified: false
- type: precision_at_1000
value: 0.156
verified: false
- type: precision_at_3
value: 34.903
verified: false
- type: precision_at_5
value: 23.16
verified: false
- type: recall_at_1
value: 64.917
verified: false
- type: recall_at_10
value: 92.27199999999999
verified: false
- type: recall_at_100
value: 98.715
verified: false
- type: recall_at_1000
value: 99.854
verified: false
- type: recall_at_3
value: 82.04599999999999
verified: false
- type: recall_at_5
value: 87.2
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS-PL
type: clarin-knext/scidocs-pl
config: default
split: test
revision: 45452b03f05560207ef19149545f168e596c9337
metrics:
- type: map_at_1
value: 3.51
verified: false
- type: map_at_10
value: 9.046999999999999
verified: false
- type: map_at_100
value: 10.823
verified: false
- type: map_at_1000
value: 11.144
verified: false
- type: map_at_3
value: 6.257
verified: false
- type: map_at_5
value: 7.648000000000001
verified: false
- type: mrr_at_1
value: 17.299999999999997
verified: false
- type: mrr_at_10
value: 27.419
verified: false
- type: mrr_at_100
value: 28.618
verified: false
- type: mrr_at_1000
value: 28.685
verified: false
- type: mrr_at_3
value: 23.817
verified: false
- type: mrr_at_5
value: 25.927
verified: false
- type: ndcg_at_1
value: 17.299999999999997
verified: false
- type: ndcg_at_10
value: 16.084
verified: false
- type: ndcg_at_100
value: 23.729
verified: false
- type: ndcg_at_1000
value: 29.476999999999997
verified: false
- type: ndcg_at_3
value: 14.327000000000002
verified: false
- type: ndcg_at_5
value: 13.017999999999999
verified: false
- type: precision_at_1
value: 17.299999999999997
verified: false
- type: precision_at_10
value: 8.63
verified: false
- type: precision_at_100
value: 1.981
verified: false
- type: precision_at_1000
value: 0.336
verified: false
- type: precision_at_3
value: 13.4
verified: false
- type: precision_at_5
value: 11.700000000000001
verified: false
- type: recall_at_1
value: 3.51
verified: false
- type: recall_at_10
value: 17.518
verified: false
- type: recall_at_100
value: 40.275
verified: false
- type: recall_at_1000
value: 68.203
verified: false
- type: recall_at_3
value: 8.155
verified: false
- type: recall_at_5
value: 11.875
verified: false
- task:
type: PairClassification
dataset:
name: MTEB SICK-E-PL
type: PL-MTEB/sicke-pl-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_accuracy
value: 86.30248675091724
verified: false
- type: cos_sim_ap
value: 83.6756734006714
verified: false
- type: cos_sim_f1
value: 74.97367497367497
verified: false
- type: cos_sim_precision
value: 73.91003460207612
verified: false
- type: cos_sim_recall
value: 76.06837606837607
verified: false
- type: dot_accuracy
value: 86.30248675091724
verified: false
- type: dot_ap
value: 83.6756734006714
verified: false
- type: dot_f1
value: 74.97367497367497
verified: false
- type: dot_precision
value: 73.91003460207612
verified: false
- type: dot_recall
value: 76.06837606837607
verified: false
- type: euclidean_accuracy
value: 86.30248675091724
verified: false
- type: euclidean_ap
value: 83.67566984333091
verified: false
- type: euclidean_f1
value: 74.97367497367497
verified: false
- type: euclidean_precision
value: 73.91003460207612
verified: false
- type: euclidean_recall
value: 76.06837606837607
verified: false
- type: manhattan_accuracy
value: 86.28210354667753
verified: false
- type: manhattan_ap
value: 83.64216119130171
verified: false
- type: manhattan_f1
value: 74.92152075340078
verified: false
- type: manhattan_precision
value: 73.4107997265892
verified: false
- type: manhattan_recall
value: 76.49572649572649
verified: false
- type: max_accuracy
value: 86.30248675091724
verified: false
- type: max_ap
value: 83.6756734006714
verified: false
- type: max_f1
value: 74.97367497367497
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R-PL
type: PL-MTEB/sickr-pl-sts
config: default
split: test
revision: None
metrics:
- type: cos_sim_pearson
value: 82.23295940859121
verified: false
- type: cos_sim_spearman
value: 78.89329160768719
verified: false
- type: euclidean_pearson
value: 79.56019107076818
verified: false
- type: euclidean_spearman
value: 78.89330209904084
verified: false
- type: manhattan_pearson
value: 79.76098513973719
verified: false
- type: manhattan_spearman
value: 79.05490162570123
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (pl)
type: mteb/sts22-crosslingual-sts
config: pl
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_pearson
value: 37.732606308062486
verified: false
- type: cos_sim_spearman
value: 41.01645667030284
verified: false
- type: euclidean_pearson
value: 26.61722556367085
verified: false
- type: euclidean_spearman
value: 41.01645667030284
verified: false
- type: manhattan_pearson
value: 26.60917378970807
verified: false
- type: manhattan_spearman
value: 41.51335727617614
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact-PL
type: clarin-knext/scifact-pl
config: default
split: test
revision: 47932a35f045ef8ed01ba82bf9ff67f6e109207e
metrics:
- type: map_at_1
value: 54.31700000000001
verified: false
- type: map_at_10
value: 65.564
verified: false
- type: map_at_100
value: 66.062
verified: false
- type: map_at_1000
value: 66.08699999999999
verified: false
- type: map_at_3
value: 62.592999999999996
verified: false
- type: map_at_5
value: 63.888
verified: false
- type: mrr_at_1
value: 56.99999999999999
verified: false
- type: mrr_at_10
value: 66.412
verified: false
- type: mrr_at_100
value: 66.85900000000001
verified: false
- type: mrr_at_1000
value: 66.88
verified: false
- type: mrr_at_3
value: 64.22200000000001
verified: false
- type: mrr_at_5
value: 65.206
verified: false
- type: ndcg_at_1
value: 56.99999999999999
verified: false
- type: ndcg_at_10
value: 70.577
verified: false
- type: ndcg_at_100
value: 72.879
verified: false
- type: ndcg_at_1000
value: 73.45
verified: false
- type: ndcg_at_3
value: 65.5
verified: false
- type: ndcg_at_5
value: 67.278
verified: false
- type: precision_at_1
value: 56.99999999999999
verified: false
- type: precision_at_10
value: 9.667
verified: false
- type: precision_at_100
value: 1.083
verified: false
- type: precision_at_1000
value: 0.11299999999999999
verified: false
- type: precision_at_3
value: 26
verified: false
- type: precision_at_5
value: 16.933
verified: false
- type: recall_at_1
value: 54.31700000000001
verified: false
- type: recall_at_10
value: 85.056
verified: false
- type: recall_at_100
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verified: false
- type: recall_at_1000
value: 100
verified: false
- type: recall_at_3
value: 71
verified: false
- type: recall_at_5
value: 75.672
verified: false
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID-PL
type: clarin-knext/trec-covid-pl
config: default
split: test
revision: 81bcb408f33366c2a20ac54adafad1ae7e877fdd
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- type: map_at_1
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verified: false
- type: map_at_10
value: 2.051
verified: false
- type: map_at_100
value: 12.009
verified: false
- type: map_at_1000
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verified: false
- type: map_at_3
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verified: false
- type: map_at_5
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verified: false
- type: mrr_at_1
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verified: false
- type: mrr_at_10
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verified: false
- type: mrr_at_100
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verified: false
- type: mrr_at_1000
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- type: mrr_at_3
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- type: mrr_at_5
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- type: ndcg_at_1
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- type: ndcg_at_10
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- type: recall_at_1000
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verified: false
- type: recall_at_3
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verified: false
- type: recall_at_5
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verified: false | null | 666d79e53ae28e1bcf497877 | Alibaba-NLP/gte-Qwen2-7B-instruct |
fofr/sdxl-emoji | fofr | d9adbc1e6d65aa36c5571da9340c53730a4f4eff | 2024-06-27T13:59:10+00:00 | 2024-06-20T09:05:06Z | false | False | null | 5,321 | null | 395 | diffusers | null | explicit-opt-out | null | [
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google/gemma-2-2b-it | google | 299a8560bedf22ed1c72a8a11e7dce4a7f9f51f8 | 2024-08-27T19:41:44+00:00 | 2024-07-16T10:51:39Z | false | manual | null | 414,329 | null | 1,038 | transformers | null | null | null | [
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library_name: transformers
license: gemma
pipeline_tag: text-generation
tags:
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extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license | null | null | null | null | [
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license: gemma
pipeline_tag: text-generation
tags:
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extra_gated_heading: Access Gemma on Hugging Face
extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
Face and click below. Requests are processed immediately.
extra_gated_button_content: Acknowledge license | null | 669650bb11dbbf600cf4dcf0 | google/gemma-2-2b-it |
Qwen/Qwen2.5-72B-Instruct | Qwen | 495f39366efef23836d0cfae4fbe635880d2be31 | 2025-01-12T02:07:38+00:00 | 2024-09-16T11:56:31Z | false | False | null | 206,497 | null | 790 | transformers | null | null | null | [
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license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
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mistralai/Ministral-8B-Instruct-2410 | mistralai | 4847e87e5975a573a2a190399ca62cd266c899ad | 2024-12-06T19:34:03+00:00 | 2024-10-15T09:20:23Z | false | auto | null | 145,056 | null | 464 | vllm | null | explicit-opt-out | null | [
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library_name: vllm
license: other
license_name: mrl
license_link: https://mistral.ai/licenses/MRL-0.1.md
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extra_gated_prompt: '# Mistral AI Research License
If You want to use a Mistral Model, a Derivative or an Output for any purpose that
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https://mistral.ai/contact/
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"Mistral AI", "We" or "Us": means Mistral AI, a French société par actions simplifiée
registered in the Paris commercial registry under the number 952 418 325, and having
its registered seat at 15, rue des Halles, 75001 Paris.
"Mistral Model": means the foundational large language model(s), and its elements
which include algorithms, software, instructed checkpoints, parameters, source code
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or contractors employed in or engaged by companies in the context of (a) their daily
tasks, or (b) any activity (including but not limited to any testing or proof-of-concept)
that is intended to generate revenue, nor (2) any Distribution by a commercial entity
of the Mistral Model, Derivative or Output whether in return for payment or free
of charge, in any medium or form, including but not limited to through a hosted
or managed service (e.g. SaaS, cloud instances, etc.), or behind a software layer.
"Outputs": means any content generated by the operation of the Mistral Models or
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"You": means the individual or entity entering into this Agreement with Mistral
AI.
*Mistral AI processes your personal data below to provide the model and enforce
its license. If you are affiliated with a commercial entity, we may also send you
communications about our models. For more information on your rights and data handling,
please see our <a href="https://mistral.ai/terms/">privacy policy</a>.*'
extra_gated_fields:
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I understand that I can only use the model, any derivative versions and their outputs for non-commercial research purposes: checkbox
? I understand that if I am a commercial entity, I am not permitted to use or distribute
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: checkbox
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extra_gated_description: Mistral AI processes your personal data below to provide
the model and enforce its license. If you are affiliated with a commercial entity,
we may also send you communications about our models. For more information on your
rights and data handling, please see our <a href="https://mistral.ai/terms/">privacy
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extra_gated_button_content: Submit | null | null | null | null | [
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library_name: vllm
license: other
license_name: mrl
license_link: https://mistral.ai/licenses/MRL-0.1.md
inference: false
extra_gated_prompt: '# Mistral AI Research License
If You want to use a Mistral Model, a Derivative or an Output for any purpose that
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To discuss such a license, please contact Mistral AI via the website contact form:
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## 1. Scope and acceptance
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## 5. Liability
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## 7. Termination
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**7.3. Litigation.** If You initiate any legal action or proceedings against Us
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## 8. General provisions
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## 9. Definitions
"Agreement": means this Mistral AI Research License agreement governing the access,
use, and Distribution of the Mistral Models, Derivatives and Outputs.
"Derivative": means any (i) modified version of the Mistral Model (including but
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providing or making available, by any means, a copy of the Mistral Models and/or
the Derivatives as the case may be, subject to Section 3 of this Agreement.
"Mistral AI", "We" or "Us": means Mistral AI, a French société par actions simplifiée
registered in the Paris commercial registry under the number 952 418 325, and having
its registered seat at 15, rue des Halles, 75001 Paris.
"Mistral Model": means the foundational large language model(s), and its elements
which include algorithms, software, instructed checkpoints, parameters, source code
(inference code, evaluation code and, if applicable, fine-tuning code) and any other
elements associated thereto made available by Mistral AI under this Agreement, including,
if any, the technical documentation, manuals and instructions for the use and operation
thereof.
"Research Purposes": means any use of a Mistral Model, Derivative, or Output that
is solely for (a) personal, scientific or academic research, and (b) for non-profit
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or contractors employed in or engaged by companies in the context of (a) their daily
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that is intended to generate revenue, nor (2) any Distribution by a commercial entity
of the Mistral Model, Derivative or Output whether in return for payment or free
of charge, in any medium or form, including but not limited to through a hosted
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"You": means the individual or entity entering into this Agreement with Mistral
AI.
*Mistral AI processes your personal data below to provide the model and enforce
its license. If you are affiliated with a commercial entity, we may also send you
communications about our models. For more information on your rights and data handling,
please see our <a href="https://mistral.ai/terms/">privacy policy</a>.*'
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the model internally or externally, or expose it in my own offerings without a
commercial license
: checkbox
? I understand that if I upload the model, or any derivative version, on any platform,
I must include the Mistral Research License
: checkbox
? I understand that for commercial use of the model, I can contact Mistral or use
the Mistral AI API on la Plateforme or any of our cloud provider partners
: checkbox
? By clicking Submit below I accept the terms of the license and acknowledge that
the information I provide will be collected stored processed and shared in accordance
with the Mistral Privacy Policy
: checkbox
geo: ip_location
extra_gated_description: Mistral AI processes your personal data below to provide
the model and enforce its license. If you are affiliated with a commercial entity,
we may also send you communications about our models. For more information on your
rights and data handling, please see our <a href="https://mistral.ai/terms/">privacy
policy</a>.
extra_gated_button_content: Submit | null | 670e33d70162d8dbf0f3c7f8 | mistralai/Ministral-8B-Instruct-2410 |
tomg-group-umd/huginn-0125 | tomg-group-umd | 7f3b64fa784b21926518c60a8cdfd2b6b4c5697b | 2025-03-26T15:19:59+00:00 | 2025-01-08T11:12:38Z | false | False | null | 2,808 | null | 255 | transformers | null | null | null | [
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] | null | null | null | 2025-01-25T15:07:01+00:00 | language:
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library_name: transformers
license: apache-2.0
pipeline_tag: image-text-to-text
tags:
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- gui | null | 6790abc1dabae4baac885d48 | bytedance-research/UI-TARS-72B-DPO |
Qwen/Qwen2.5-7B-Instruct-1M | Qwen | e28526f7bb80e2a9c8af03b831a9af3812f18fba | 2025-01-29T12:39:09+00:00 | 2025-01-23T13:36:32Z | false | False | null | 717,089 | null | 285 | transformers | null | cold | null | [
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] | text-generation | null | 10 | base_model: Qwen/Qwen2.5-7B
language:
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library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M/blob/main/LICENSE
pipeline_tag: text-generation
tags:
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nomic-ai/nomic-embed-text-v2-moe | nomic-ai | 45301cc35fd6988724c4698ee0d97981889ef7a0 | 2025-03-11T20:32:20+00:00 | 2025-02-07T22:50:07Z | false | False | null | 171,115 | null | 314 | sentence-transformers | null | null | null | [
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] | sentence-similarity | null | 10 | base_model:
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language:
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library_name: sentence-transformers
license: apache-2.0
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
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- feature-extraction | null | null | null | null | [
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] | null | null | null | 2025-03-11T20:32:20+00:00 | base_model:
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language:
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license: apache-2.0
pipeline_tag: sentence-similarity
tags:
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- feature-extraction | null | 67a68e1f9d0295d4578134d8 | nomic-ai/nomic-embed-text-v2-moe |
ibm-granite/granite-vision-3.2-2b | ibm-granite | 167e5c800627bdb7c06df6dc1d3a55004f41f234 | 2025-03-18T19:25:10+00:00 | 2025-02-17T22:50:24Z | false | False | null | 19,203 | null | 77 | transformers | null | null | null | [
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"safetensors",
"llava_next",
"image-text-to-text",
"conversational",
"en",
"arxiv:2502.09927",
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"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | null | 10 | base_model:
- ibm-granite/granite-3.1-2b-instruct
language:
- en
library_name: transformers
license: apache-2.0 | null | null | null | null | [
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"tokenizer.json",
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] | null | null | null | 2025-03-18T19:25:10+00:00 | base_model:
- ibm-granite/granite-3.1-2b-instruct
language:
- en
library_name: transformers
license: apache-2.0 | null | 67b3bd303770f4f5d68bd2eb | ibm-granite/granite-vision-3.2-2b |
codermert/ozgeee3_fluxxx | codermert | ba466e6d8530ecfb36c69c11ae52aeae2781c965 | 2025-03-25T22:32:13+00:00 | 2025-03-04T09:35:27Z | false | False | null | 139 | null | 14 | diffusers | null | null | null | [
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"lora",
"replicate",
"text-to-image",
"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | null | 10 | base_model: black-forest-labs/FLUX.1-dev
language:
- en
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
pipeline_tag: text-to-image
tags:
- flux
- diffusers
- lora
- replicate
instance_prompt: TOK | null | null | null | null | [
".gitattributes",
"README.md",
"config.yaml",
"lora.safetensors"
] | null | null | null | 2025-03-25T22:32:13+00:00 | base_model: black-forest-labs/FLUX.1-dev
language:
- en
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
pipeline_tag: text-to-image
tags:
- flux
- diffusers
- lora
- replicate
instance_prompt: TOK | null | 67c6c95f351ea5bc2208759a | codermert/ozgeee3_fluxxx |
huihui-ai/DeepSeek-V3-abliterated | huihui-ai | 4980b0db5e84678c145866c4b3a4aa87ca8e113e | 2025-03-24T08:24:23+00:00 | 2025-03-05T08:48:43Z | false | False | null | 0 | null | 96 | transformers | null | null | null | [
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"base_model:finetune:deepseek-ai/DeepSeek-V3",
"license:apache-2.0",
"endpoints_compatible",
"region:us"
] | null | null | 10 | base_model:
- deepseek-ai/DeepSeek-V3
language:
- en
library_name: transformers
license: apache-2.0
tags:
- DeepSeek
- abliterated
- uncensored | null | null | null | null | [
".gitattributes",
"DeepSeek-V3-bf16.png",
"README.md"
] | null | null | null | 2025-03-24T08:24:23+00:00 | base_model:
- deepseek-ai/DeepSeek-V3
language:
- en
library_name: transformers
license: apache-2.0
tags:
- DeepSeek
- abliterated
- uncensored | null | 67c80feb08ea8978b977031a | huihui-ai/DeepSeek-V3-abliterated |
facebook/sonata | facebook | 500494cd4cc12200ad18bee4f7fcd08b8b464c55 | 2025-03-27T13:07:29+00:00 | 2025-03-07T02:09:52Z | false | auto | null | 695 | null | 13 | null | null | null | null | [
"safetensors",
"model_hub_mixin",
"pytorch_model_hub_mixin",
"region:us"
] | null | null | 10 | tags:
- model_hub_mixin
- pytorch_model_hub_mixin | null | null | null | null | [
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"README.md",
"config.json",
"model.safetensors",
"pretrain-sonata-v1m1-0-base.pth",
"sonata.pth"
] | null | null | null | 2025-03-27T13:07:29+00:00 | tags:
- model_hub_mixin
- pytorch_model_hub_mixin | null | 67ca5570dc4df0e5e039a85e | facebook/sonata |
codermert/burcu2_fluxxx | codermert | 1fde995e6020bdc67fd3fe41ed2e72b10e635b00 | 2025-03-25T22:27:59+00:00 | 2025-03-09T21:05:31Z | false | False | null | 279 | null | 30 | diffusers | null | null | null | [
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"flux",
"lora",
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"en",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | null | 10 | base_model: black-forest-labs/FLUX.1-dev
language:
- en
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
pipeline_tag: text-to-image
tags:
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- replicate
instance_prompt: TOK | null | null | null | null | [
".gitattributes",
"README.md",
"config.yaml",
"lora.safetensors"
] | null | null | null | 2025-03-25T22:27:59+00:00 | base_model: black-forest-labs/FLUX.1-dev
language:
- en
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
pipeline_tag: text-to-image
tags:
- flux
- diffusers
- lora
- replicate
instance_prompt: TOK | null | 67ce029b89663abdbc216bbe | codermert/burcu2_fluxxx |
allura-org/Gemma-3-Glitter-12B | allura-org | 8849ca7c2e9ee68d7dd6e82bf633cab9b5521176 | 2025-03-28T05:06:06+00:00 | 2025-03-23T05:35:11Z | false | False | null | 361 | null | 10 | transformers | null | null | null | [
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] | image-text-to-text | null | 10 | base_model:
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- ToastyPigeon/g3-12b-storyteller-v0.2-textonly
- google/gemma-3-12b-it
library_name: transformers
tags:
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- merge | null | null | null | null | [
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] | null | null | null | 2025-03-28T05:06:06+00:00 | base_model:
- ToastyPigeon/g3-12b-rp-system-v0.1
- ToastyPigeon/g3-12b-storyteller-v0.2-textonly
- google/gemma-3-12b-it
library_name: transformers
tags:
- mergekit
- merge | null | 67df9d8fc6f5a09be26c2539 | allura-org/Gemma-3-Glitter-12B |
hynt/F5-TTS-Vietnamese-100h | hynt | 441c04aea30002df5e5756a74eca304e17ff78cf | 2025-03-30T13:23:37+00:00 | 2025-03-23T13:56:29Z | false | manual | null | 44 | null | 10 | pytorch | null | null | null | [
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"dataset:VLSP2023",
"dataset:vietTTS",
"license:cc-by-nc-sa-4.0",
"region:us"
] | text-to-speech | null | 10 | datasets:
- VLSP2021
- VLSP2022
- VLSP2023
- vietTTS
language: vi
library_name: pytorch
license: cc-by-nc-sa-4.0
model_name: F5-TTS-Vietnamese-150h
tags:
- text-to-speech
- vietnamese
- ai-model
- deep-learning | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"model_350000.pt",
"vocab.txt"
] | null | null | null | 2025-03-30T13:23:37+00:00 | datasets:
- VLSP2021
- VLSP2022
- VLSP2023
- vietTTS
language: vi
library_name: pytorch
license: cc-by-nc-sa-4.0
model_name: F5-TTS-Vietnamese-150h
tags:
- text-to-speech
- vietnamese
- ai-model
- deep-learning | null | 67e0130d78e66717a1ccc082 | hynt/F5-TTS-Vietnamese-100h |
Tesslate/Tessa-T1-14B | Tesslate | 379c29adfcb54b1670e75d72b1a1153881b6caeb | 2025-03-24T16:04:39+00:00 | 2025-03-24T01:28:22Z | false | False | null | 95 | null | 10 | transformers | null | null | null | [
"transformers",
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"trl",
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"en",
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"autotrain_compatible",
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"region:us"
] | text-generation | null | 10 | base_model: Qwen/Qwen2.5-Coder-14B-Instruct
datasets:
- Tesslate/Tessa-T1-Dataset
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- qwen2
- trl | null | null | null | null | [
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] | null | null | null | 2025-03-24T16:04:39+00:00 | base_model: Qwen/Qwen2.5-Coder-14B-Instruct
datasets:
- Tesslate/Tessa-T1-Dataset
language:
- en
license: apache-2.0
tags:
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- transformers
- qwen2
- trl | null | 67e0b536f49435fd46838ab0 | Tesslate/Tessa-T1-14B |
vuongminhkhoi4/ComfyUI_InfiniteYou | vuongminhkhoi4 | 539360213ba5b6fc99366c1aa471688ffb63dcac | 2025-03-29T04:39:37+00:00 | 2025-03-26T17:56:06Z | false | False | null | 0 | null | 10 | null | null | null | null | [
"arxiv:2503.16418",
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] | null | null | 10 | license: cc-by-nc-4.0 | null | null | null | null | [
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] | null | null | null | 2025-03-29T04:39:37+00:00 | license: cc-by-nc-4.0 | null | 67e43fb6e817aa8cfe799d35 | vuongminhkhoi4/ComfyUI_InfiniteYou |
google-bert/bert-base-chinese | google-bert | c30a6ed22ab4564dc1e3b2ecbf6e766b0611a33f | 2024-02-19T11:03:31+00:00 | 2022-03-02T23:29:04Z | false | False | null | 2,172,381 | null | 1,158 | transformers | null | cold | null | [
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"region:us"
] | fill-mask | null | 9 | language: zh | null | null | null | null | [
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] | null | null | null | 2024-02-19T11:03:31+00:00 | language: zh | null | 621ffdc036468d709f174332 | google-bert/bert-base-chinese |
facebook/bart-large-mnli | facebook | d7645e127eaf1aefc7862fd59a17a5aa8558b8ce | 2023-09-05T14:49:34+00:00 | 2022-03-02T23:29:05Z | false | False | null | 2,679,184 | null | 1,340 | transformers | null | null | null | [
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] | zero-shot-classification | null | 9 | datasets:
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license: mit
pipeline_tag: zero-shot-classification
thumbnail: https://huggingface.co/front/thumbnails/facebook.png | null | null | null | null | [
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pipeline_tag: zero-shot-classification
thumbnail: https://huggingface.co/front/thumbnails/facebook.png | null | 621ffdc136468d709f17adb7 | facebook/bart-large-mnli |
sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 | sentence-transformers | 86741b4e3f5cb7765a600d3a3d55a0f6a6cb443d | 2025-03-06T13:25:33+00:00 | 2022-03-02T23:29:05Z | false | False | null | 12,179,134 | null | 833 | sentence-transformers | null | null | null | [
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"pytorch",
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"safetensors",
"openvino",
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- fi
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- gl
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- he
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- pl
- pt
- ro
- ru
- sk
- sl
- sq
- sr
- sv
- th
- tr
- uk
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library_name: sentence-transformers
license: apache-2.0
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- transformers
language_bcp47:
- fr-ca
- pt-br
- zh-cn
- zh-tw | null | null | null | null | [
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license: apache-2.0
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- zh-tw | null | 621ffdc136468d709f1802ec | sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 |
bigscience/bloom | bigscience | 053d9cd9fbe814e091294f67fcfedb3397b954bb | 2023-07-28T17:50:20+00:00 | 2022-05-19T11:53:33Z | false | False | null | 24,310 | null | 4,876 | transformers | null | null | null | [
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] | text-generation | null | 9 | language:
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license: bigscience-bloom-rail-1.0
pipeline_tag: text-generation
programming_language:
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- C#
- Go
- Java
- JavaScript
- Lua
- PHP
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widget:
- text: 'A "whatpu" is a small, furry animal native to Tanzania. An example of a sentence
that uses the word whatpu is: We were traveling in Africa and we saw these very
cute whatpus. | To do a "farduddle" means to jump up and down really fast. An
example of a sentence that uses the word farduddle is:'
example_title: Imaginary word
group: English
- text: 'Un "whatpu" est un petit animal à fourrure originaire de Tanzanie. Un exemple
de phrase qui utilise le mot whatpu est: Nous étions en Afrique et nous avons
vu des whatpus trop mignons. Faire un "farduddle" veut dire sauter sur place vraiment
vite. Un exemple de phrase qui utilise le mot farduddle est:'
example_title: Imaginary word
group: French
- text: 'Un "whatpu" es un pequeño animal peludo nativo de Tanzania. Un ejemplo de
una oración que usa la palabra whatpu es: Estábamos viajando por África y vimos
estos whatpus muy bonitos. Hacer un "farduddle" significa saltar arriba y abajo
muy rápido. Un ejemplo de una oración que usa la palabra farduddle es:'
example_title: Imaginary word
group: Spanish
- text: ' ال"واتبو" هو حيوان صغير مكسو بالفراء يعيش في تنزانيا. مثال على جملة تستخدم
كلمة واتبو هي: كنا نسافر في افريقيا و رأينا هؤلاء الواتبو اللطفاء. للقيام ب"فاردادل"
يعني ان تقفز للأعلى و الأسفل بسرعة كبيرة. مثال على جملة تستخدم كلمة فاردادل هي:'
example_title: Imaginary word
group: Arabic
- text: 'Um "whatpu" é um pequeno animal peludo nativo da Tanzânia. Um exemplo de
uma frase que usa a palavra whatpu é: Estávamos a viajar por África e vimos uns
whatpus muito queridos. Fazer um "farduddle" significa saltar para cima e para
baixo muito rápido. Um exemplo de uma frase que usa a palavra farduddle é:'
example: Imaginary word
group: Portuguese
- text: Pour déguster un ortolan, il faut tout d'abord
example_title: Recipe
group: French
- text: "34+10=44 \n54+20="
example_title: Addition
group: Math
- text: 'This tool converts irregular verbs to past tense.
Arise - Arose
Become - Became
Forget - Forgot
Freeze -'
example_title: Irregular verbs
group: English
- text: 'Please unscramble the letters into a word, and write that word:
r e!c.i p r o.c a/l = reciprocal
d.o m i!n a n.t ='
example_title: Word unscrambling
group: English
- text: 'Estos ejemplos quitan vocales de las palabras
Ejemplos:
hola - hl
manzana - mnzn
papas - pps
alacran - lcrn
papa -'
example_title: Vowel removal
group: Spanish
- text: 'Traduce español de España a español de Argentina
El coche es rojo - el auto es rojo
El ordenador es nuevo - la computadora es nueva
el boligrafo es negro - lapicera es negra
la nevera'
example_title: Spanish to Argentinian Spanish
group: Spanish
- text: To say "I love you" in Hindi, you would say
example_title: Translation to Hindi
group: English
- text: To say "I love you" in Hindi, you would say
example_title: Translation from English
group: Hindi
- text: 'Poor English: She no went to the market. Corrected English:'
example_title: Grammar exercise 1
group: English
- text: 'استخراج العدد العاملي في لغة بايثون:'
example_title: Code generation
group: Arabic
- text: 'Regexp. Here is a regular expression to match a word starting with a number
and then having only vowels:'
example_title: Regular expressions
group: English
- text: 'Do a hello world in different languages:
Python: print("hello world")
R:'
example_title: Code generation
group: English
- text: 'Which is the correct preposition? I''m born X July. X is the preposition
in
He sat X a chair. X is the preposition on
She drove X the bridge. X is the preposition'
example_title: Grammar exercise 2
group: English
- text: 'Traduction en français: Dans cet essai je vais m''interroger sur la conscience
des modèles d''intelligence artificielle récents comme les modèles de langue.
Pour commencer, je m''intéresserai à la notion de conscience et à ce qui la caractérise.
Ensuite, j''aborderai la question de l''intelligence et de son lien avec le langage.
Enfin, dans une dernière partie je me pencherai sur le cas de l''IA et sur sa
conscience.
Traduction en espagnol:'
example_title: Translation to Spanish
group: French
- text: 'Traducción al francés: Dans cet essai je vais m''interroger sur la conscience
des modèles d''intelligence artificielle récents comme les modèles de langue.
Pour commencer, je m''intéresserai à la notion de conscience et à ce qui la caractérise.
Ensuite, j''aborderai la question de l''intelligence et de son lien avec le langage.
Enfin, dans une dernière partie je me pencherai sur le cas de l''IA et sur sa
conscience.
Traducción al español:'
example_title: Translation from French
group: Spanish
- text: ذات مرة ، عاش شبل الدب في الغابة
example_title: Fairy tale
group: Arabic
- text: एक बार की बात है, जंगल में एक भालू का शावक रहता था
example_title: Fairy tale
group: Hindi
- text: Il était une fois une licorne qui vivait
example_title: Fairy tale
group: French
- text: 'Q: A juggler can juggle 16 balls. Half of the balls are golf balls, and half
of the golf balls are blue. How many blue golf balls are there?
A: Let''s think step by step.'
example_title: Mathematical reasoning
group: English
co2_eq_emissions:
emissions: 24700000
source: Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model.
https://arxiv.org/abs/2211.02001
training_type: pre-training
geographical_location: Orsay, France
hardware_used: 384 A100 80GB GPUs
model-index:
- name: bloom
results:
- task:
type: text-generation
dataset:
name: humaneval
type: openai_humaneval
metrics:
- type: pass@1
value: 0.15542682926829265
name: pass@1
verified: false
- type: pass@10
value: 0.3278356276947017
name: pass@10
verified: false
- type: pass@100
value: 0.5719815685597749
name: pass@100
verified: false | null | null | null | null | [
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"tokenizer.json",
"tokenizer_config.json"
] | null | null | null | 2023-07-28T17:50:20+00:00 | language:
- ak
- ar
- as
- bm
- bn
- ca
- code
- en
- es
- eu
- fon
- fr
- gu
- hi
- id
- ig
- ki
- kn
- lg
- ln
- ml
- mr
- ne
- nso
- ny
- or
- pa
- pt
- rn
- rw
- sn
- st
- sw
- ta
- te
- tn
- ts
- tum
- tw
- ur
- vi
- wo
- xh
- yo
- zh
- zu
license: bigscience-bloom-rail-1.0
pipeline_tag: text-generation
programming_language:
- C
- C++
- C#
- Go
- Java
- JavaScript
- Lua
- PHP
- Python
- Ruby
- Rust
- Scala
- TypeScript
widget:
- text: 'A "whatpu" is a small, furry animal native to Tanzania. An example of a sentence
that uses the word whatpu is: We were traveling in Africa and we saw these very
cute whatpus. | To do a "farduddle" means to jump up and down really fast. An
example of a sentence that uses the word farduddle is:'
example_title: Imaginary word
group: English
- text: 'Un "whatpu" est un petit animal à fourrure originaire de Tanzanie. Un exemple
de phrase qui utilise le mot whatpu est: Nous étions en Afrique et nous avons
vu des whatpus trop mignons. Faire un "farduddle" veut dire sauter sur place vraiment
vite. Un exemple de phrase qui utilise le mot farduddle est:'
example_title: Imaginary word
group: French
- text: 'Un "whatpu" es un pequeño animal peludo nativo de Tanzania. Un ejemplo de
una oración que usa la palabra whatpu es: Estábamos viajando por África y vimos
estos whatpus muy bonitos. Hacer un "farduddle" significa saltar arriba y abajo
muy rápido. Un ejemplo de una oración que usa la palabra farduddle es:'
example_title: Imaginary word
group: Spanish
- text: ' ال"واتبو" هو حيوان صغير مكسو بالفراء يعيش في تنزانيا. مثال على جملة تستخدم
كلمة واتبو هي: كنا نسافر في افريقيا و رأينا هؤلاء الواتبو اللطفاء. للقيام ب"فاردادل"
يعني ان تقفز للأعلى و الأسفل بسرعة كبيرة. مثال على جملة تستخدم كلمة فاردادل هي:'
example_title: Imaginary word
group: Arabic
- text: 'Um "whatpu" é um pequeno animal peludo nativo da Tanzânia. Um exemplo de
uma frase que usa a palavra whatpu é: Estávamos a viajar por África e vimos uns
whatpus muito queridos. Fazer um "farduddle" significa saltar para cima e para
baixo muito rápido. Um exemplo de uma frase que usa a palavra farduddle é:'
example: Imaginary word
group: Portuguese
- text: Pour déguster un ortolan, il faut tout d'abord
example_title: Recipe
group: French
- text: "34+10=44 \n54+20="
example_title: Addition
group: Math
- text: 'This tool converts irregular verbs to past tense.
Arise - Arose
Become - Became
Forget - Forgot
Freeze -'
example_title: Irregular verbs
group: English
- text: 'Please unscramble the letters into a word, and write that word:
r e!c.i p r o.c a/l = reciprocal
d.o m i!n a n.t ='
example_title: Word unscrambling
group: English
- text: 'Estos ejemplos quitan vocales de las palabras
Ejemplos:
hola - hl
manzana - mnzn
papas - pps
alacran - lcrn
papa -'
example_title: Vowel removal
group: Spanish
- text: 'Traduce español de España a español de Argentina
El coche es rojo - el auto es rojo
El ordenador es nuevo - la computadora es nueva
el boligrafo es negro - lapicera es negra
la nevera'
example_title: Spanish to Argentinian Spanish
group: Spanish
- text: To say "I love you" in Hindi, you would say
example_title: Translation to Hindi
group: English
- text: To say "I love you" in Hindi, you would say
example_title: Translation from English
group: Hindi
- text: 'Poor English: She no went to the market. Corrected English:'
example_title: Grammar exercise 1
group: English
- text: 'استخراج العدد العاملي في لغة بايثون:'
example_title: Code generation
group: Arabic
- text: 'Regexp. Here is a regular expression to match a word starting with a number
and then having only vowels:'
example_title: Regular expressions
group: English
- text: 'Do a hello world in different languages:
Python: print("hello world")
R:'
example_title: Code generation
group: English
- text: 'Which is the correct preposition? I''m born X July. X is the preposition
in
He sat X a chair. X is the preposition on
She drove X the bridge. X is the preposition'
example_title: Grammar exercise 2
group: English
- text: 'Traduction en français: Dans cet essai je vais m''interroger sur la conscience
des modèles d''intelligence artificielle récents comme les modèles de langue.
Pour commencer, je m''intéresserai à la notion de conscience et à ce qui la caractérise.
Ensuite, j''aborderai la question de l''intelligence et de son lien avec le langage.
Enfin, dans une dernière partie je me pencherai sur le cas de l''IA et sur sa
conscience.
Traduction en espagnol:'
example_title: Translation to Spanish
group: French
- text: 'Traducción al francés: Dans cet essai je vais m''interroger sur la conscience
des modèles d''intelligence artificielle récents comme les modèles de langue.
Pour commencer, je m''intéresserai à la notion de conscience et à ce qui la caractérise.
Ensuite, j''aborderai la question de l''intelligence et de son lien avec le langage.
Enfin, dans une dernière partie je me pencherai sur le cas de l''IA et sur sa
conscience.
Traducción al español:'
example_title: Translation from French
group: Spanish
- text: ذات مرة ، عاش شبل الدب في الغابة
example_title: Fairy tale
group: Arabic
- text: एक बार की बात है, जंगल में एक भालू का शावक रहता था
example_title: Fairy tale
group: Hindi
- text: Il était une fois une licorne qui vivait
example_title: Fairy tale
group: French
- text: 'Q: A juggler can juggle 16 balls. Half of the balls are golf balls, and half
of the golf balls are blue. How many blue golf balls are there?
A: Let''s think step by step.'
example_title: Mathematical reasoning
group: English
co2_eq_emissions:
emissions: 24700000
source: Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model.
https://arxiv.org/abs/2211.02001
training_type: pre-training
geographical_location: Orsay, France
hardware_used: 384 A100 80GB GPUs
model-index:
- name: bloom
results:
- task:
type: text-generation
dataset:
name: humaneval
type: openai_humaneval
metrics:
- type: pass@1
value: 0.15542682926829265
name: pass@1
verified: false
- type: pass@10
value: 0.3278356276947017
name: pass@10
verified: false
- type: pass@100
value: 0.5719815685597749
name: pass@100
verified: false | null | 62862fbd504d37700308a82e | bigscience/bloom |
Salesforce/blip-image-captioning-base | Salesforce | 82a37760796d32b1411fe092ab5d4e227313294b | 2025-02-03T06:45:16+00:00 | 2022-12-12T15:19:02Z | false | False | null | 4,972,732 | null | 664 | transformers | null | null | null | [
"transformers",
"pytorch",
"tf",
"blip",
"image-text-to-text",
"image-captioning",
"image-to-text",
"arxiv:2201.12086",
"license:bsd-3-clause",
"endpoints_compatible",
"region:us"
] | image-to-text | null | 9 | license: bsd-3-clause
pipeline_tag: image-to-text
tags:
- image-captioning
languages:
- en | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"preprocessor_config.json",
"pytorch_model.bin",
"special_tokens_map.json",
"tf_model.h5",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | null | null | null | 2025-02-03T06:45:16+00:00 | license: bsd-3-clause
pipeline_tag: image-to-text
tags:
- image-captioning
languages:
- en | null | 63974666f74f697677e32689 | Salesforce/blip-image-captioning-base |
stabilityai/stable-audio-open-1.0 | stabilityai | 67351841772475731424cf358c9fb785716ac78f | 2024-07-31T07:11:30+00:00 | 2024-05-24T05:11:20Z | false | auto | null | 34,301 | null | 1,130 | stable-audio-tools | null | pipeline-library-pair-not-supported | null | [
"stable-audio-tools",
"diffusers",
"safetensors",
"text-to-audio",
"en",
"arxiv:2407.14358",
"license:other",
"region:us"
] | text-to-audio | null | 9 | language:
- en
library_name: stable-audio-tools
license: other
license_name: stable-audio-community
license_link: LICENSE
pipeline_tag: text-to-audio
extra_gated_prompt: By clicking "Agree", you agree to the [License Agreement](https://huggingface.co/stabilityai/stable-audio-open-1.0/blob/main/LICENSE.md)
and acknowledge Stability AI's [Privacy Policy](https://stability.ai/privacy-policy).
extra_gated_fields:
Name: text
Email: text
Country: country
Organization or Affiliation: text
Receive email updates and promotions on Stability AI products, services, and research?:
type: select
options:
- 'Yes'
- 'No' | null | null | null | null | [
".gitattributes",
"LICENSE.md",
"README.md",
"fma_dataset_attribution2.csv",
"freesound_dataset_attribution2.csv",
"model.ckpt",
"model.safetensors",
"model_config.json",
"model_index.json",
"projection_model/config.json",
"projection_model/diffusion_pytorch_model.safetensors",
"scheduler/scheduler_config.json",
"stable_audio_light.png",
"text_encoder/config.json",
"text_encoder/model.safetensors",
"tokenizer/special_tokens_map.json",
"tokenizer/spiece.model",
"tokenizer/tokenizer.json",
"tokenizer/tokenizer_config.json",
"transformer/config.json",
"transformer/diffusion_pytorch_model.safetensors",
"vae/config.json",
"vae/diffusion_pytorch_model.safetensors"
] | null | null | null | 2024-07-31T07:11:30+00:00 | language:
- en
library_name: stable-audio-tools
license: other
license_name: stable-audio-community
license_link: LICENSE
pipeline_tag: text-to-audio
extra_gated_prompt: By clicking "Agree", you agree to the [License Agreement](https://huggingface.co/stabilityai/stable-audio-open-1.0/blob/main/LICENSE.md)
and acknowledge Stability AI's [Privacy Policy](https://stability.ai/privacy-policy).
extra_gated_fields:
Name: text
Email: text
Country: country
Organization or Affiliation: text
Receive email updates and promotions on Stability AI products, services, and research?:
type: select
options:
- 'Yes'
- 'No' | null | 665021788d9a04684d5b5772 | stabilityai/stable-audio-open-1.0 |
ZhengPeng7/BiRefNet | ZhengPeng7 | 8b15dd17f7137e1057ccab224047ca276a1272d5 | 2025-03-24T14:01:47+00:00 | 2024-07-12T08:50:09Z | false | False | null | 530,263 | null | 346 | birefnet | null | null | null | [
"birefnet",
"safetensors",
"image-segmentation",
"background-removal",
"mask-generation",
"Dichotomous Image Segmentation",
"Camouflaged Object Detection",
"Salient Object Detection",
"pytorch_model_hub_mixin",
"model_hub_mixin",
"transformers",
"transformers.js",
"custom_code",
"arxiv:2401.03407",
"license:mit",
"endpoints_compatible",
"region:us"
] | image-segmentation | null | 9 | library_name: birefnet
license: mit
pipeline_tag: image-segmentation
tags:
- background-removal
- mask-generation
- Dichotomous Image Segmentation
- Camouflaged Object Detection
- Salient Object Detection
- pytorch_model_hub_mixin
- model_hub_mixin
- transformers
- transformers.js
repo_url: https://github.com/ZhengPeng7/BiRefNet | null | null | null | null | [
".gitattributes",
".gitignore",
"BiRefNet_config.py",
"README.md",
"birefnet.py",
"config.json",
"handler.py",
"model.safetensors",
"requirements.txt"
] | null | null | null | 2025-03-24T14:01:47+00:00 | library_name: birefnet
license: mit
pipeline_tag: image-segmentation
tags:
- background-removal
- mask-generation
- Dichotomous Image Segmentation
- Camouflaged Object Detection
- Salient Object Detection
- pytorch_model_hub_mixin
- model_hub_mixin
- transformers
- transformers.js
repo_url: https://github.com/ZhengPeng7/BiRefNet | null | 6690ee4190a83f3e25f11393 | ZhengPeng7/BiRefNet |
meta-llama/Llama-3.2-11B-Vision-Instruct | meta-llama | 9eb2daaa8597bf192a8b0e73f848f3a102794df5 | 2024-12-04T01:35:48+00:00 | 2024-09-18T16:47:28Z | false | manual | null | 1,583,752 | null | 1,396 | transformers | null | null | null | [
"transformers",
"safetensors",
"mllama",
"image-text-to-text",
"facebook",
"meta",
"pytorch",
"llama",
"llama-3",
"conversational",
"en",
"de",
"fr",
"it",
"pt",
"hi",
"es",
"th",
"arxiv:2204.05149",
"license:llama3.2",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | null | 9 | language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
library_name: transformers
license: llama3.2
pipeline_tag: image-text-to-text
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
widget:
- example_title: rococo art
messages:
- role: user
content:
- type: text
text: Which era does this piece belong to? Give details about the era.
- type: image_url
image_url:
url: https://huggingface.co/datasets/huggingface/release-assets/resolve/main/rococo.jpg
- role: assistant
content: 'The piece is a painting of a woman in a red dress, surrounded by gold
and white ornate details. The woman is depicted in mid-air, with her arms outstretched
and her legs bent at the knees. She is holding a bouquet of flowers in her right
hand and a fruit in her left hand.
The background of the painting is a light blue sky with pink clouds, and there
are also some pink flowers and green leaves surrounding the woman. The overall
atmosphere of the painting is one of joy and celebration, as if the woman is
dancing or celebrating something.
This piece belongs to the Rococo era, which was a style of art and architecture
that emerged in Europe in the 18th century. The Rococo style is characterized
by its use of pastel colors, curved lines, and ornate details. It was popularized
during the reign of King Louis XV of France, who ruled from 1715 to 1774.
'
- example_title: diagram understanding
messages:
- role: user
content:
- type: text
text: Where do the droughts happen according to this diagram?
- type: image_url
image_url:
url: https://huggingface.co/datasets/huggingface/release-assets/resolve/main/weather_events.png
- role: assistant
content: '# Drought Regions in 2016
According to the diagram, the regions that experienced severe droughts in 2016
are:
- **Eastern and Southern Africa**: This region was severely affected by droughts,
with significant impacts on agriculture and water resources.
- **Western and Southern Africa**: Droughts also occurred in this region, leading
to food insecurity and other challenges.
These regions were particularly vulnerable to droughts in 2016, highlighting
the need for effective water management strategies and climate resilience measures.
'
- example_title: document qa
messages:
- role: user
content:
- type: text
text: How long does it take from invoice date to due date? Be short and concise.
- type: image_url
image_url:
url: https://huggingface.co/datasets/huggingface/release-assets/resolve/main/invoice.png
- role: assistant
content: 'To determine the time gap between the invoice date and the due date,
we need to calculate the difference between these two dates.
Invoice Date: February 11, 2019
Due Date: February 26, 2019
Step 1: Calculate the Difference in Days
February 26 - February 11 = 15 days
Therefore, the time gap between the invoice date and the due date is 15 days.
'
extra_gated_prompt: "### LLAMA 3.2 COMMUNITY LICENSE AGREEMENT\n\nLlama 3.2 Version\
\ Release Date: September 25, 2024\n\n“Agreement” means the terms and conditions\
\ for use, reproduction, distribution and modification of the Llama Materials set\
\ forth herein.\n\n“Documentation” means the specifications, manuals and documentation\
\ accompanying Llama 3.2 distributed by Meta at https://llama.meta.com/doc/overview.\n\
\n“Licensee” or “you” means you, or your employer or any other person or entity\
\ (if you are entering into this Agreement on such person or entity’s behalf),\
\ of the age required under applicable laws, rules or regulations to provide legal\
\ consent and that has legal authority to bind your employer or such other person\
\ or entity if you are entering in this Agreement on their behalf.\n\n“Llama 3.2”\
\ means the foundational large language models and software and algorithms, including\
\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
\ code, fine-tuning enabling code and other elements of the foregoing distributed\
\ by Meta at https://www.llama.com/llama-downloads.\n\n“Llama Materials” means,\
\ collectively, Meta’s proprietary Llama 3.2 and Documentation (and any portion\
\ thereof) made available under this Agreement.\n\n“Meta” or “we” means Meta Platforms\
\ Ireland Limited (if you are located in or, if you are an entity, your principal\
\ place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if\
\ you are located outside of the EEA or Switzerland). \n\nBy clicking “I Accept”\
\ below or by using or distributing any portion or element of the Llama Materials,\
\ you agree to be bound by this Agreement.\n\n1. License Rights and Redistribution.\n\
a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable\
\ and royalty-free limited license under Meta’s intellectual property or other rights\
\ owned by Meta embodied in the Llama Materials to use, reproduce, distribute,\
\ copy, create derivative works of, and make modifications to the Llama Materials.\
\ \nb. Redistribution and Use. \ni. If you distribute or make available the Llama\
\ Materials (or any derivative works thereof), or a product or service (including\
\ another AI model) that contains any of them, you shall (A) provide a copy of this\
\ Agreement with any such Llama Materials; and (B) prominently display “Built with\
\ Llama” on a related website, user interface, blogpost, about page, or product\
\ documentation. If you use the Llama Materials or any outputs or results of the\
\ Llama Materials to create, train, fine tune, or otherwise improve an AI model,\
\ which is distributed or made available, you shall also include “Llama” at the\
\ beginning of any such AI model name.\nii. If you receive Llama Materials, or any\
\ derivative works thereof, from a Licensee as part of an integrated end user product,\
\ then Section 2 of this Agreement will not apply to you. \niii. You must retain\
\ in all copies of the Llama Materials that you distribute the following attribution\
\ notice within a “Notice” text file distributed as a part of such copies: “Llama\
\ 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms,\
\ Inc. All Rights Reserved.”\niv. Your use of the Llama Materials must comply with\
\ applicable laws and regulations (including trade compliance laws and regulations)\
\ and adhere to the Acceptable Use Policy for the Llama Materials (available at\
\ https://www.llama.com/llama3_2/use-policy), which is hereby incorporated by reference\
\ into this Agreement.\n \n2. Additional Commercial Terms. If, on the Llama 3.2\
\ version release date, the monthly active users of the products or services made\
\ available by or for Licensee, or Licensee’s affiliates, is greater than 700 million\
\ monthly active users in the preceding calendar month, you must request a license\
\ from Meta, which Meta may grant to you in its sole discretion, and you are not\
\ authorized to exercise any of the rights under this Agreement unless or until\
\ Meta otherwise expressly grants you such rights.\n3. Disclaimer of Warranty. UNLESS\
\ REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM\
\ ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS\
\ ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION,\
\ ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR\
\ PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING\
\ OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR\
\ USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation of Liability.\
\ IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY,\
\ WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING\
\ OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL,\
\ INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE\
\ BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n5. Intellectual Property.\n\
a. No trademark licenses are granted under this Agreement, and in connection with\
\ the Llama Materials, neither Meta nor Licensee may use any name or mark owned\
\ by or associated with the other or any of its affiliates, except as required\
\ for reasonable and customary use in describing and redistributing the Llama Materials\
\ or as set forth in this Section 5(a). Meta hereby grants you a license to use\
\ “Llama” (the “Mark”) solely as required to comply with the last sentence of Section\
\ 1.b.i. You will comply with Meta’s brand guidelines (currently accessible at\
\ https://about.meta.com/brand/resources/meta/company-brand/). All goodwill arising\
\ out of your use of the Mark will inure to the benefit of Meta.\nb. Subject to\
\ Meta’s ownership of Llama Materials and derivatives made by or for Meta, with\
\ respect to any derivative works and modifications of the Llama Materials that\
\ are made by you, as between you and Meta, you are and will be the owner of such\
\ derivative works and modifications.\nc. If you institute litigation or other proceedings\
\ against Meta or any entity (including a cross-claim or counterclaim in a lawsuit)\
\ alleging that the Llama Materials or Llama 3.2 outputs or results, or any portion\
\ of any of the foregoing, constitutes infringement of intellectual property or\
\ other rights owned or licensable by you, then any licenses granted to you under\
\ this Agreement shall terminate as of the date such litigation or claim is filed\
\ or instituted. You will indemnify and hold harmless Meta from and against any\
\ claim by any third party arising out of or related to your use or distribution\
\ of the Llama Materials.\n6. Term and Termination. The term of this Agreement will\
\ commence upon your acceptance of this Agreement or access to the Llama Materials\
\ and will continue in full force and effect until terminated in accordance with\
\ the terms and conditions herein. Meta may terminate this Agreement if you are\
\ in breach of any term or condition of this Agreement. Upon termination of this\
\ Agreement, you shall delete and cease use of the Llama Materials. Sections 3,\
\ 4 and 7 shall survive the termination of this Agreement. \n7. Governing Law and\
\ Jurisdiction. This Agreement will be governed and construed under the laws of\
\ the State of California without regard to choice of law principles, and the UN\
\ Convention on Contracts for the International Sale of Goods does not apply to\
\ this Agreement. The courts of California shall have exclusive jurisdiction of\
\ any dispute arising out of this Agreement. \n### Llama 3.2 Acceptable Use Policy\n\
Meta is committed to promoting safe and fair use of its tools and features, including\
\ Llama 3.2. If you access or use Llama 3.2, you agree to this Acceptable Use Policy\
\ (“**Policy**”). The most recent copy of this policy can be found at [https://www.llama.com/llama3_2/use-policy](https://www.llama.com/llama3_2/use-policy).\n\
#### Prohibited Uses\nWe want everyone to use Llama 3.2 safely and responsibly.\
\ You agree you will not use, or allow others to use, Llama 3.2 to:\n1. Violate\
\ the law or others’ rights, including to:\n 1. Engage in, promote, generate,\
\ contribute to, encourage, plan, incite, or further illegal or unlawful activity\
\ or content, such as:\n 1. Violence or terrorism\n 2. Exploitation\
\ or harm to children, including the solicitation, creation, acquisition, or dissemination\
\ of child exploitative content or failure to report Child Sexual Abuse Material\n\
\ 3. Human trafficking, exploitation, and sexual violence\n 4. The\
\ illegal distribution of information or materials to minors, including obscene\
\ materials, or failure to employ legally required age-gating in connection with\
\ such information or materials.\n 5. Sexual solicitation\n 6. Any\
\ other criminal activity\n 1. Engage in, promote, incite, or facilitate the\
\ harassment, abuse, threatening, or bullying of individuals or groups of individuals\n\
\ 2. Engage in, promote, incite, or facilitate discrimination or other unlawful\
\ or harmful conduct in the provision of employment, employment benefits, credit,\
\ housing, other economic benefits, or other essential goods and services\n 3.\
\ Engage in the unauthorized or unlicensed practice of any profession including,\
\ but not limited to, financial, legal, medical/health, or related professional\
\ practices\n 4. Collect, process, disclose, generate, or infer private or sensitive\
\ information about individuals, including information about individuals’ identity,\
\ health, or demographic information, unless you have obtained the right to do so\
\ in accordance with applicable law\n 5. Engage in or facilitate any action or\
\ generate any content that infringes, misappropriates, or otherwise violates any\
\ third-party rights, including the outputs or results of any products or services\
\ using the Llama Materials\n 6. Create, generate, or facilitate the creation\
\ of malicious code, malware, computer viruses or do anything else that could disable,\
\ overburden, interfere with or impair the proper working, integrity, operation\
\ or appearance of a website or computer system\n 7. Engage in any action, or\
\ facilitate any action, to intentionally circumvent or remove usage restrictions\
\ or other safety measures, or to enable functionality disabled by Meta \n2. Engage\
\ in, promote, incite, facilitate, or assist in the planning or development of activities\
\ that present a risk of death or bodily harm to individuals, including use of Llama\
\ 3.2 related to the following:\n 8. Military, warfare, nuclear industries or\
\ applications, espionage, use for materials or activities that are subject to the\
\ International Traffic Arms Regulations (ITAR) maintained by the United States\
\ Department of State or to the U.S. Biological Weapons Anti-Terrorism Act of 1989\
\ or the Chemical Weapons Convention Implementation Act of 1997\n 9. Guns and\
\ illegal weapons (including weapon development)\n 10. Illegal drugs and regulated/controlled\
\ substances\n 11. Operation of critical infrastructure, transportation technologies,\
\ or heavy machinery\n 12. Self-harm or harm to others, including suicide, cutting,\
\ and eating disorders\n 13. Any content intended to incite or promote violence,\
\ abuse, or any infliction of bodily harm to an individual\n3. Intentionally deceive\
\ or mislead others, including use of Llama 3.2 related to the following:\n 14.\
\ Generating, promoting, or furthering fraud or the creation or promotion of disinformation\n\
\ 15. Generating, promoting, or furthering defamatory content, including the\
\ creation of defamatory statements, images, or other content\n 16. Generating,\
\ promoting, or further distributing spam\n 17. Impersonating another individual\
\ without consent, authorization, or legal right\n 18. Representing that the\
\ use of Llama 3.2 or outputs are human-generated\n 19. Generating or facilitating\
\ false online engagement, including fake reviews and other means of fake online\
\ engagement \n4. Fail to appropriately disclose to end users any known dangers\
\ of your AI system 5. Interact with third party tools, models, or software designed\
\ to generate unlawful content or engage in unlawful or harmful conduct and/or represent\
\ that the outputs of such tools, models, or software are associated with Meta or\
\ Llama 3.2\n\nWith respect to any multimodal models included in Llama 3.2, the\
\ rights granted under Section 1(a) of the Llama 3.2 Community License Agreement\
\ are not being granted to you if you are an individual domiciled in, or a company\
\ with a principal place of business in, the European Union. This restriction does\
\ not apply to end users of a product or service that incorporates any such multimodal\
\ models.\n\nPlease report any violation of this Policy, software “bug,” or other\
\ problems that could lead to a violation of this Policy through one of the following\
\ means:\n\n* Reporting issues with the model: [https://github.com/meta-llama/llama-models/issues](https://l.workplace.com/l.php?u=https%3A%2F%2Fgithub.com%2Fmeta-llama%2Fllama-models%2Fissues&h=AT0qV8W9BFT6NwihiOHRuKYQM_UnkzN_NmHMy91OT55gkLpgi4kQupHUl0ssR4dQsIQ8n3tfd0vtkobvsEvt1l4Ic6GXI2EeuHV8N08OG2WnbAmm0FL4ObkazC6G_256vN0lN9DsykCvCqGZ)\n\
* Reporting risky content generated by the model: [developers.facebook.com/llama_output_feedback](http://developers.facebook.com/llama_output_feedback)\n\
* Reporting bugs and security concerns: [facebook.com/whitehat/info](http://facebook.com/whitehat/info)\n\
* Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama\
\ 3.2: [email protected]"
extra_gated_fields:
First Name: text
Last Name: text
Date of birth: date_picker
Country: country
Affiliation: text
Job title:
type: select
options:
- Student
- Research Graduate
- AI researcher
- AI developer/engineer
- Reporter
- Other
geo: ip_location
? By clicking Submit below I accept the terms of the license and acknowledge that
the information I provide will be collected stored processed and shared in accordance
with the Meta Privacy Policy
: checkbox
extra_gated_description: The information you provide will be collected, stored, processed
and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
extra_gated_button_content: Submit
extra_gated_eu_disallowed: true | null | null | null | null | [
".gitattributes",
"LICENSE.txt",
"README.md",
"USE_POLICY.md",
"chat_template.json",
"config.json",
"generation_config.json",
"model-00001-of-00005.safetensors",
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"original/params.json",
"original/tokenizer.model",
"preprocessor_config.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | null | null | null | 2024-12-04T01:35:48+00:00 | language:
- en
- de
- fr
- it
- pt
- hi
- es
- th
library_name: transformers
license: llama3.2
pipeline_tag: image-text-to-text
tags:
- facebook
- meta
- pytorch
- llama
- llama-3
widget:
- example_title: rococo art
messages:
- role: user
content:
- type: text
text: Which era does this piece belong to? Give details about the era.
- type: image_url
image_url:
url: https://huggingface.co/datasets/huggingface/release-assets/resolve/main/rococo.jpg
- role: assistant
content: 'The piece is a painting of a woman in a red dress, surrounded by gold
and white ornate details. The woman is depicted in mid-air, with her arms outstretched
and her legs bent at the knees. She is holding a bouquet of flowers in her right
hand and a fruit in her left hand.
The background of the painting is a light blue sky with pink clouds, and there
are also some pink flowers and green leaves surrounding the woman. The overall
atmosphere of the painting is one of joy and celebration, as if the woman is
dancing or celebrating something.
This piece belongs to the Rococo era, which was a style of art and architecture
that emerged in Europe in the 18th century. The Rococo style is characterized
by its use of pastel colors, curved lines, and ornate details. It was popularized
during the reign of King Louis XV of France, who ruled from 1715 to 1774.
'
- example_title: diagram understanding
messages:
- role: user
content:
- type: text
text: Where do the droughts happen according to this diagram?
- type: image_url
image_url:
url: https://huggingface.co/datasets/huggingface/release-assets/resolve/main/weather_events.png
- role: assistant
content: '# Drought Regions in 2016
According to the diagram, the regions that experienced severe droughts in 2016
are:
- **Eastern and Southern Africa**: This region was severely affected by droughts,
with significant impacts on agriculture and water resources.
- **Western and Southern Africa**: Droughts also occurred in this region, leading
to food insecurity and other challenges.
These regions were particularly vulnerable to droughts in 2016, highlighting
the need for effective water management strategies and climate resilience measures.
'
- example_title: document qa
messages:
- role: user
content:
- type: text
text: How long does it take from invoice date to due date? Be short and concise.
- type: image_url
image_url:
url: https://huggingface.co/datasets/huggingface/release-assets/resolve/main/invoice.png
- role: assistant
content: 'To determine the time gap between the invoice date and the due date,
we need to calculate the difference between these two dates.
Invoice Date: February 11, 2019
Due Date: February 26, 2019
Step 1: Calculate the Difference in Days
February 26 - February 11 = 15 days
Therefore, the time gap between the invoice date and the due date is 15 days.
'
extra_gated_prompt: "### LLAMA 3.2 COMMUNITY LICENSE AGREEMENT\n\nLlama 3.2 Version\
\ Release Date: September 25, 2024\n\n“Agreement” means the terms and conditions\
\ for use, reproduction, distribution and modification of the Llama Materials set\
\ forth herein.\n\n“Documentation” means the specifications, manuals and documentation\
\ accompanying Llama 3.2 distributed by Meta at https://llama.meta.com/doc/overview.\n\
\n“Licensee” or “you” means you, or your employer or any other person or entity\
\ (if you are entering into this Agreement on such person or entity’s behalf),\
\ of the age required under applicable laws, rules or regulations to provide legal\
\ consent and that has legal authority to bind your employer or such other person\
\ or entity if you are entering in this Agreement on their behalf.\n\n“Llama 3.2”\
\ means the foundational large language models and software and algorithms, including\
\ machine-learning model code, trained model weights, inference-enabling code, training-enabling\
\ code, fine-tuning enabling code and other elements of the foregoing distributed\
\ by Meta at https://www.llama.com/llama-downloads.\n\n“Llama Materials” means,\
\ collectively, Meta’s proprietary Llama 3.2 and Documentation (and any portion\
\ thereof) made available under this Agreement.\n\n“Meta” or “we” means Meta Platforms\
\ Ireland Limited (if you are located in or, if you are an entity, your principal\
\ place of business is in the EEA or Switzerland) and Meta Platforms, Inc. (if\
\ you are located outside of the EEA or Switzerland). \n\nBy clicking “I Accept”\
\ below or by using or distributing any portion or element of the Llama Materials,\
\ you agree to be bound by this Agreement.\n\n1. License Rights and Redistribution.\n\
a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable\
\ and royalty-free limited license under Meta’s intellectual property or other rights\
\ owned by Meta embodied in the Llama Materials to use, reproduce, distribute,\
\ copy, create derivative works of, and make modifications to the Llama Materials.\
\ \nb. Redistribution and Use. \ni. If you distribute or make available the Llama\
\ Materials (or any derivative works thereof), or a product or service (including\
\ another AI model) that contains any of them, you shall (A) provide a copy of this\
\ Agreement with any such Llama Materials; and (B) prominently display “Built with\
\ Llama” on a related website, user interface, blogpost, about page, or product\
\ documentation. If you use the Llama Materials or any outputs or results of the\
\ Llama Materials to create, train, fine tune, or otherwise improve an AI model,\
\ which is distributed or made available, you shall also include “Llama” at the\
\ beginning of any such AI model name.\nii. If you receive Llama Materials, or any\
\ derivative works thereof, from a Licensee as part of an integrated end user product,\
\ then Section 2 of this Agreement will not apply to you. \niii. You must retain\
\ in all copies of the Llama Materials that you distribute the following attribution\
\ notice within a “Notice” text file distributed as a part of such copies: “Llama\
\ 3.2 is licensed under the Llama 3.2 Community License, Copyright © Meta Platforms,\
\ Inc. All Rights Reserved.”\niv. Your use of the Llama Materials must comply with\
\ applicable laws and regulations (including trade compliance laws and regulations)\
\ and adhere to the Acceptable Use Policy for the Llama Materials (available at\
\ https://www.llama.com/llama3_2/use-policy), which is hereby incorporated by reference\
\ into this Agreement.\n \n2. Additional Commercial Terms. If, on the Llama 3.2\
\ version release date, the monthly active users of the products or services made\
\ available by or for Licensee, or Licensee’s affiliates, is greater than 700 million\
\ monthly active users in the preceding calendar month, you must request a license\
\ from Meta, which Meta may grant to you in its sole discretion, and you are not\
\ authorized to exercise any of the rights under this Agreement unless or until\
\ Meta otherwise expressly grants you such rights.\n3. Disclaimer of Warranty. UNLESS\
\ REQUIRED BY APPLICABLE LAW, THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM\
\ ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS\
\ ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION,\
\ ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR\
\ PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING\
\ OR REDISTRIBUTING THE LLAMA MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR\
\ USE OF THE LLAMA MATERIALS AND ANY OUTPUT AND RESULTS.\n4. Limitation of Liability.\
\ IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY,\
\ WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING\
\ OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY INDIRECT, SPECIAL, CONSEQUENTIAL,\
\ INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE\
\ BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.\n5. Intellectual Property.\n\
a. No trademark licenses are granted under this Agreement, and in connection with\
\ the Llama Materials, neither Meta nor Licensee may use any name or mark owned\
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#### Prohibited Uses\nWe want everyone to use Llama 3.2 safely and responsibly.\
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* Reporting violations of the Acceptable Use Policy or unlicensed uses of Llama\
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extra_gated_eu_disallowed: true | null | 66eb042015688c55aba845ac | meta-llama/Llama-3.2-11B-Vision-Instruct |
Djrango/Qwen2vl-Flux | Djrango | bfd2c8ee3cf808bb62ab6a42c729453c07db9cca | 2024-12-06T04:07:37+00:00 | 2024-11-25T02:37:41Z | false | auto | null | 0 | null | 477 | diffusers | null | explicit-opt-out | null | [
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inference: false | null | 6743e2f5b689b48aefab5c43 | Djrango/Qwen2vl-Flux |
mit-han-lab/svdq-int4-flux.1-dev | mit-han-lab | 3af964b97d298d4ed9da753edcc1ba3b322031f2 | 2025-03-13T04:45:41+00:00 | 2024-11-25T19:41:54Z | false | False | null | 14,013 | null | 41 | diffusers | null | null | null | [
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fbarragan/helloworld_model | fbarragan | f9fb017b256c2dc7cd97e25806356f76cf6d1822 | 2025-01-14T19:34:07+00:00 | 2025-01-14T18:53:29Z | false | False | null | 504 | null | 9 | transformers | null | not-popular-enough | null | [
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deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | deepseek-ai | 711ad2ea6aa40cfca18895e8aca02ab92df1a746 | 2025-02-24T03:31:29+00:00 | 2025-01-20T09:19:00Z | false | False | null | 2,145,544 | null | 1,296 | transformers | null | null | null | [
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microsoft/Magma-8B | microsoft | 158bd000fbad7255a8a6516780f304cee518b7f9 | 2025-03-29T08:27:08+00:00 | 2025-02-23T03:10:37Z | false | False | null | 13,265 | null | 347 | transformers | null | null | null | [
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Wan-AI/Wan2.1-T2V-1.3B | Wan-AI | 37ec512624d61f7aa208f7ea8140a131f93afc9a | 2025-03-01T09:31:33+00:00 | 2025-02-25T11:13:48Z | false | False | null | 27,696 | null | 295 | diffusers | null | null | null | [
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- video-generation | null | 67bda5ec3a3a100900815991 | Wan-AI/Wan2.1-T2V-1.3B |
Yuyang-z/genxd | Yuyang-z | 8fa7a9870658b8b1f39a10463775ac98105f1a83 | 2025-03-30T09:11:28+00:00 | 2025-02-26T13:48:01Z | false | False | null | 0 | null | 9 | diffusers | null | null | null | [
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inclusionAI/Ling-lite | inclusionAI | a80ae6c479251f1ae33dda517ab83cdc6a312f99 | 2025-03-20T03:36:06+00:00 | 2025-02-28T07:10:10Z | false | False | null | 250 | null | 20 | transformers | null | null | null | [
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license: mit
pipeline_tag: text-generation | null | 67c1615225c74ee5b6f2ae76 | inclusionAI/Ling-lite |
ai4bharat/IndicF5 | ai4bharat | b82d286220e3070e171f4ef4b4bd047b9a447c9a | 2025-03-12T10:23:47+00:00 | 2025-03-11T11:30:29Z | false | auto | null | 2,432 | null | 24 | null | null | null | null | [
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] | text-to-speech | null | 9 | datasets:
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- ai4bharat/Rasa
language:
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pipeline_tag: text-to-speech | null | null | null | null | [
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] | null | null | null | 2025-03-12T10:23:47+00:00 | datasets:
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language:
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- ml
- or
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pipeline_tag: text-to-speech | null | 67d01ed57d82f613a31baf62 | ai4bharat/IndicF5 |
ByteDance/LatentSync-1.5 | ByteDance | a4f4512b521cf3ec2b9ba156d2db478a991caf98 | 2025-03-16T11:20:38+00:00 | 2025-03-14T09:38:35Z | false | False | null | 0 | null | 27 | diffusers | null | null | null | [
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] | null | null | 9 | library_name: diffusers
license: openrail++
tags:
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- video-editing | null | null | null | null | [
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license: openrail++
tags:
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DavidAU/Mistral-Small-3.1-24B-Instruct-2503-MAX-NEO-Imatrix-GGUF | DavidAU | 91d0180d02c9d2ee532d486d3f2a1e859622f0f0 | 2025-03-18T23:09:20+00:00 | 2025-03-18T04:17:05Z | false | False | null | 39,183 | null | 27 | null | null | null | null | [
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pipeline_tag: text-generation
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language:
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- Neo Imatrix | null | 67d8f3c11611c5532bbd4fce | DavidAU/Mistral-Small-3.1-24B-Instruct-2503-MAX-NEO-Imatrix-GGUF |
knoveleng/Open-RS3 | knoveleng | 94a8bd9e63e2f4d9ef60955c7297a1f6c97251bb | 2025-03-24T02:12:49+00:00 | 2025-03-18T09:57:38Z | false | False | null | 1,610 | null | 18 | transformers | null | null | null | [
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] | text-generation | null | 9 | base_model:
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library_name: transformers
license: mit
pipeline_tag: text-generation
inference: true | null | null | null | null | [
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license: mit
pipeline_tag: text-generation
inference: true | null | 67d94392252861ef2b7f6f97 | knoveleng/Open-RS3 |
Sao10K/Llama-3.3-70B-Vulpecula-r1 | Sao10K | 12d7254ab9a5ce21905f59f341a3d2a2b3e62fd5 | 2025-03-20T16:32:29+00:00 | 2025-03-20T14:54:20Z | false | False | null | 702 | null | 27 | transformers | null | null | null | [
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] | text-generation | null | 9 | base_model:
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language:
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library_name: transformers
license: llama3.3 | null | null | null | null | [
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language:
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library_name: transformers
license: llama3.3 | null | 67dc2c1c41fbee4e86be0f88 | Sao10K/Llama-3.3-70B-Vulpecula-r1 |
cognitivecomputations/DeepSeek-V3-0324-AWQ | cognitivecomputations | c922ba7896dc7dab2a27d705fa62fa967c04eeb0 | 2025-03-29T05:53:56+00:00 | 2025-03-25T21:33:38Z | false | False | null | 3,260 | null | 9 | transformers | null | null | null | [
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] | text-generation | null | 9 | base_model:
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language:
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library_name: transformers
license: mit
pipeline_tag: text-generation | null | null | null | null | [
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language:
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- zh
library_name: transformers
license: mit
pipeline_tag: text-generation | null | 67e321326e03dde5279d0248 | cognitivecomputations/DeepSeek-V3-0324-AWQ |
erax-ai/EraX-Smile-Female-F5-V1.0 | erax-ai | 97785ea655d4f8b73dfe90386b7b9d3a9c37db57 | 2025-03-30T12:45:05+00:00 | 2025-03-28T13:02:22Z | false | False | null | 0 | null | 9 | null | null | null | null | [
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] | text-to-speech | null | 9 | base_model:
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language:
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license: mit
pipeline_tag: text-to-speech
tags:
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- voice-cloning
widget:
- src: https://huggingface.co/erax-ai/EraX-Smile-Female-F5-V1.0/resolve/main/model/update_213000_ref.wav
text: Thậm chí không ăn thì cũng có cảm giác rất là cứng bụng, chủ yếu là cái phần
rốn...trở lên. Em có cảm giác khó thở, và ngủ cũng không ngon, thường bị ợ hơi
rất là nhiều
- src: https://huggingface.co/erax-ai/EraX-Smile-Female-F5-V1.0/resolve/main/model/generated_non_ema.wav
text: Trong khi đó, tại một chung cư trên địa bàn P.Vĩnh Tuy (Q.Hoàng Mai), nhiều
người sống trên tầng cao giật mình khi thấy rung lắc mạnh nên đã chạy xuống sảnh
tầng 1. Cư dân tại đây cho biết, họ chưa bao giờ cảm thấy ảnh hưởng của động đất
mạnh như hôm nay
new_version: erax-ai/EraX-Smile-Female-F5-V1.0 | null | null | null | null | [
".gitattributes",
"F5TTS_Test.ipynb",
"README.md",
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] | null | null | null | 2025-03-30T12:45:05+00:00 | base_model:
- SWivid/F5-TTS
language:
- vi
license: mit
pipeline_tag: text-to-speech
tags:
- text-to-speech
- vietnamese
- female
- male
- voice-cloning
widget:
- src: https://huggingface.co/erax-ai/EraX-Smile-Female-F5-V1.0/resolve/main/model/update_213000_ref.wav
text: Thậm chí không ăn thì cũng có cảm giác rất là cứng bụng, chủ yếu là cái phần
rốn...trở lên. Em có cảm giác khó thở, và ngủ cũng không ngon, thường bị ợ hơi
rất là nhiều
- src: https://huggingface.co/erax-ai/EraX-Smile-Female-F5-V1.0/resolve/main/model/generated_non_ema.wav
text: Trong khi đó, tại một chung cư trên địa bàn P.Vĩnh Tuy (Q.Hoàng Mai), nhiều
người sống trên tầng cao giật mình khi thấy rung lắc mạnh nên đã chạy xuống sảnh
tầng 1. Cư dân tại đây cho biết, họ chưa bao giờ cảm thấy ảnh hưởng của động đất
mạnh như hôm nay
new_version: erax-ai/EraX-Smile-Female-F5-V1.0 | null | 67e69dde0a3382c7cdc44406 | erax-ai/EraX-Smile-Female-F5-V1.0 |
lllyasviel/ControlNet | lllyasviel | e78a8c4a5052a238198043ee5c0cb44e22abb9f7 | 2023-02-25T05:57:36+00:00 | 2023-02-08T18:51:21Z | false | False | null | 3 | null | 3,683 | null | null | library-not-detected | null | [
"license:openrail",
"region:us"
] | null | null | 8 | license: openrail | null | null | null | null | [
".gitattributes",
"README.md",
"annotator/ckpts/body_pose_model.pth",
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"models/control_sd15_scribble.pth",
"models/control_sd15_seg.pth",
"training/fill50k.zip"
] | null | null | null | 2023-02-25T05:57:36+00:00 | license: openrail | null | 63e3ef298de575a15a63c2b1 | lllyasviel/ControlNet |
suno/bark | suno | 70a8a7d34168586dc5d028fa9666aceade177992 | 2023-10-04T14:17:55+00:00 | 2023-04-25T14:44:46Z | false | False | null | 39,051 | null | 1,285 | transformers | null | loading | null | [
"transformers",
"pytorch",
"bark",
"text-to-audio",
"audio",
"text-to-speech",
"en",
"de",
"es",
"fr",
"hi",
"it",
"ja",
"ko",
"pl",
"pt",
"ru",
"tr",
"zh",
"license:mit",
"endpoints_compatible",
"region:us"
] | text-to-speech | null | 8 | language:
- en
- de
- es
- fr
- hi
- it
- ja
- ko
- pl
- pt
- ru
- tr
- zh
license: mit
pipeline_tag: text-to-speech
tags:
- bark
- audio
- text-to-speech
thumbnail: https://user-images.githubusercontent.com/5068315/230698495-cbb1ced9-c911-4c9a-941d-a1a4a1286ac6.png
library: bark
inference: true | null | null | null | null | [
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] | null | null | null | 2023-10-04T14:17:55+00:00 | language:
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- fr
- hi
- it
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- pt
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license: mit
pipeline_tag: text-to-speech
tags:
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thumbnail: https://user-images.githubusercontent.com/5068315/230698495-cbb1ced9-c911-4c9a-941d-a1a4a1286ac6.png
library: bark
inference: true | null | 6447e75e3e498d669191db01 | suno/bark |
Falconsai/nsfw_image_detection | Falconsai | 63e0a066bb08d2ae47324b540fba3adfd4536569 | 2023-12-06T17:18:38+00:00 | 2023-10-13T23:50:01Z | false | False | null | 89,482,604 | null | 553 | transformers | null | warm | null | [
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] | image-classification | null | 8 | license: apache-2.0
pipeline_tag: image-classification | null | null | null | null | [
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pipeline_tag: image-classification | null | 6529d7a960f06c6e52e84b53 | Falconsai/nsfw_image_detection |
h94/IP-Adapter-FaceID | h94 | 43907e6f44d079bf1a9102d9a6e56aef7a219bae | 2024-04-16T08:53:12+00:00 | 2023-12-20T03:15:30Z | false | False | null | 353,340 | null | 1,682 | diffusers | null | cold | null | [
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library_name: diffusers
tags:
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library_name: diffusers
tags:
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Ultralytics/YOLOv8 | Ultralytics | a335eb8d58ded1464e0ff09b3994fc8ae0e6f8fe | 2025-01-11T19:09:21+00:00 | 2024-01-31T14:39:19Z | false | False | null | 43,279 | null | 192 | ultralytics | null | pipeline-library-pair-not-supported | null | [
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] | object-detection | null | 8 | library_name: ultralytics
license: agpl-3.0
pipeline_tag: object-detection
tags:
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- yolov10 | null | null | null | null | [
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license: agpl-3.0
pipeline_tag: object-detection
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- yolov10 | null | 65ba5b9739bd6235f7750cb9 | Ultralytics/YOLOv8 |
yisol/IDM-VTON | yisol | 585a32e74aee241cbc0d0cc3ab21392ca58c916a | 2024-04-22T19:53:20+00:00 | 2024-03-28T20:42:50Z | false | False | null | 148,119 | null | 579 | diffusers | null | null | null | [
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license: cc-by-nc-sa-4.0
tags:
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- virtual try-on | null | null | null | null | [
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tags:
- stable-diffusion-xl
- inpainting
- virtual try-on | null | 6605d64a5ea1c903ae4f4656 | yisol/IDM-VTON |
Alibaba-NLP/gte-multilingual-base | Alibaba-NLP | 9fdd4ee8bba0e2808a34e0e739576f6740d2b225 | 2025-03-17T05:40:01+00:00 | 2024-07-20T08:37:28Z | false | False | null | 1,577,597 | null | 224 | sentence-transformers | null | null | null | [
"sentence-transformers",
"safetensors",
"new",
"feature-extraction",
"mteb",
"transformers",
"multilingual",
"sentence-similarity",
"custom_code",
"af",
"ar",
"az",
"be",
"bg",
"bn",
"ca",
"ceb",
"cs",
"cy",
"da",
"de",
"el",
"en",
"es",
"et",
"eu",
"fa",
"fi",
"fr",
"gl",
"gu",
"he",
"hi",
"hr",
"ht",
"hu",
"hy",
"id",
"is",
"it",
"ja",
"jv",
"ka",
"kk",
"km",
"kn",
"ko",
"ky",
"lo",
"lt",
"lv",
"mk",
"ml",
"mn",
"mr",
"ms",
"my",
"ne",
"nl",
"no",
"pa",
"pl",
"pt",
"qu",
"ro",
"ru",
"si",
"sk",
"sl",
"so",
"sq",
"sr",
"sv",
"sw",
"ta",
"te",
"th",
"tl",
"tr",
"uk",
"ur",
"vi",
"yo",
"zh",
"arxiv:2407.19669",
"arxiv:2210.09984",
"arxiv:2402.03216",
"arxiv:2007.15207",
"arxiv:2104.08663",
"arxiv:2402.07440",
"license:apache-2.0",
"model-index",
"autotrain_compatible",
"text-embeddings-inference",
"endpoints_compatible",
"region:us"
] | sentence-similarity | null | 8 | language:
- af
- ar
- az
- be
- bg
- bn
- ca
- ceb
- cs
- cy
- da
- de
- el
- en
- es
- et
- eu
- fa
- fi
- fr
- gl
- gu
- he
- hi
- hr
- ht
- hu
- hy
- id
- is
- it
- ja
- jv
- ka
- kk
- km
- kn
- ko
- ky
- lo
- lt
- lv
- mk
- ml
- mn
- mr
- ms
- my
- ne
- nl
- 'no'
- pa
- pl
- pt
- qu
- ro
- ru
- si
- sk
- sl
- so
- sq
- sr
- sv
- sw
- ta
- te
- th
- tl
- tr
- uk
- ur
- vi
- yo
- zh
license: apache-2.0
tags:
- mteb
- sentence-transformers
- transformers
- multilingual
- sentence-similarity
model-index:
- name: gte-multilingual-base (dense)
results:
- task:
type: Clustering
dataset:
name: MTEB 8TagsClustering
type: PL-MTEB/8tags-clustering
config: default
split: test
revision: None
metrics:
- type: v_measure
value: 33.66681726329994
verified: false
- task:
type: STS
dataset:
name: MTEB AFQMC
type: C-MTEB/AFQMC
config: default
split: validation
revision: b44c3b011063adb25877c13823db83bb193913c4
metrics:
- type: cos_sim_spearman
value: 43.54760696384009
verified: false
- task:
type: STS
dataset:
name: MTEB ATEC
type: C-MTEB/ATEC
config: default
split: test
revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
metrics:
- type: cos_sim_spearman
value: 48.91186363417501
verified: false
- task:
type: Classification
dataset:
name: MTEB AllegroReviews
type: PL-MTEB/allegro-reviews
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 41.689860834990064
verified: false
- task:
type: Clustering
dataset:
name: MTEB AlloProfClusteringP2P
type: lyon-nlp/alloprof
config: default
split: test
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
metrics:
- type: v_measure
value: 54.20241337977897
verified: false
- type: v_measure
value: 44.34083695608643
verified: false
- task:
type: Reranking
dataset:
name: MTEB AlloprofReranking
type: lyon-nlp/mteb-fr-reranking-alloprof-s2p
config: default
split: test
revision: 666fdacebe0291776e86f29345663dfaf80a0db9
metrics:
- type: map
value: 64.91495250072002
verified: false
- task:
type: Retrieval
dataset:
name: MTEB AlloprofRetrieval
type: lyon-nlp/alloprof
config: default
split: test
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
metrics:
- type: ndcg_at_10
value: 53.638
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactual
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 75.95522388059702
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonPolarityClassification
type: mteb/amazon_polarity
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 80.717625
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (en)
type: mteb/amazon_reviews_multi
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 43.64199999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (de)
type: mteb/amazon_reviews_multi
config: de
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 40.108
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (es)
type: mteb/amazon_reviews_multi
config: es
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 40.169999999999995
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (fr)
type: mteb/amazon_reviews_multi
config: fr
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 39.56799999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (ja)
type: mteb/amazon_reviews_multi
config: ja
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 35.75000000000001
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (zh)
type: mteb/amazon_reviews_multi
config: zh
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 33.342000000000006
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna
type: mteb/arguana
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: ndcg_at_10
value: 58.231
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna-PL
type: clarin-knext/arguana-pl
config: default
split: test
revision: 63fc86750af76253e8c760fc9e534bbf24d260a2
metrics:
- type: ndcg_at_10
value: 53.166000000000004
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringP2P
type: mteb/arxiv-clustering-p2p
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 46.01900557959478
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringS2S
type: mteb/arxiv-clustering-s2s
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 41.06626465345723
verified: false
- task:
type: Reranking
dataset:
name: MTEB AskUbuntuDupQuestions
type: mteb/askubuntudupquestions-reranking
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 61.87514497610431
verified: false
- task:
type: STS
dataset:
name: MTEB BIOSSES
type: mteb/biosses-sts
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_spearman
value: 81.21450112991194
verified: false
- task:
type: STS
dataset:
name: MTEB BQ
type: C-MTEB/BQ
config: default
split: test
revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
metrics:
- type: cos_sim_spearman
value: 51.71589543397271
verified: false
- task:
type: Retrieval
dataset:
name: MTEB BSARDRetrieval
type: maastrichtlawtech/bsard
config: default
split: test
revision: 5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59
metrics:
- type: ndcg_at_10
value: 26.115
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (de-en)
type: mteb/bucc-bitext-mining
config: de-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: f1
value: 98.6169102296451
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (fr-en)
type: mteb/bucc-bitext-mining
config: fr-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: f1
value: 97.89603052314916
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (ru-en)
type: mteb/bucc-bitext-mining
config: ru-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: f1
value: 97.12388869645537
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (zh-en)
type: mteb/bucc-bitext-mining
config: zh-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: f1
value: 98.15692469720906
verified: false
- task:
type: Classification
dataset:
name: MTEB Banking77Classification
type: mteb/banking77
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 85.36038961038962
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringP2P
type: mteb/biorxiv-clustering-p2p
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 37.5903826674123
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringS2S
type: mteb/biorxiv-clustering-s2s
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 34.21474277151329
verified: false
- task:
type: Classification
dataset:
name: MTEB CBD
type: PL-MTEB/cbd
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 62.519999999999996
verified: false
- task:
type: PairClassification
dataset:
name: MTEB CDSC-E
type: PL-MTEB/cdsce-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_ap
value: 74.90132799162956
verified: false
- task:
type: STS
dataset:
name: MTEB CDSC-R
type: PL-MTEB/cdscr-sts
config: default
split: test
revision: None
metrics:
- type: cos_sim_spearman
value: 90.30727955142524
verified: false
- task:
type: Clustering
dataset:
name: MTEB CLSClusteringP2P
type: C-MTEB/CLSClusteringP2P
config: default
split: test
revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
metrics:
- type: v_measure
value: 37.94850105022274
verified: false
- task:
type: Clustering
dataset:
name: MTEB CLSClusteringS2S
type: C-MTEB/CLSClusteringS2S
config: default
split: test
revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
metrics:
- type: v_measure
value: 38.11958675421534
verified: false
- task:
type: Reranking
dataset:
name: MTEB CMedQAv1
type: C-MTEB/CMedQAv1-reranking
config: default
split: test
revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
metrics:
- type: map
value: 86.10950950485399
verified: false
- task:
type: Reranking
dataset:
name: MTEB CMedQAv2
type: C-MTEB/CMedQAv2-reranking
config: default
split: test
revision: 23d186750531a14a0357ca22cd92d712fd512ea0
metrics:
- type: map
value: 87.28038294231966
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackAndroidRetrieval
type: mteb/cqadupstack-android
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: ndcg_at_10
value: 47.099000000000004
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackEnglishRetrieval
type: mteb/cqadupstack-english
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: ndcg_at_10
value: 45.973000000000006
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGamingRetrieval
type: mteb/cqadupstack-gaming
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: ndcg_at_10
value: 55.606
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGisRetrieval
type: mteb/cqadupstack-gis
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: ndcg_at_10
value: 36.638
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackMathematicaRetrieval
type: mteb/cqadupstack-mathematica
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: ndcg_at_10
value: 30.711
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackPhysicsRetrieval
type: mteb/cqadupstack-physics
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: ndcg_at_10
value: 44.523
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackProgrammersRetrieval
type: mteb/cqadupstack-programmers
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: ndcg_at_10
value: 37.940000000000005
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackRetrieval
type: mteb/cqadupstack
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: ndcg_at_10
value: 38.12183333333333
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackStatsRetrieval
type: mteb/cqadupstack-stats
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: ndcg_at_10
value: 32.684000000000005
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackTexRetrieval
type: mteb/cqadupstack-tex
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: ndcg_at_10
value: 26.735
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackUnixRetrieval
type: mteb/cqadupstack-unix
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: ndcg_at_10
value: 36.933
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackWebmastersRetrieval
type: mteb/cqadupstack-webmasters
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: ndcg_at_10
value: 33.747
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackWordpressRetrieval
type: mteb/cqadupstack-wordpress
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: ndcg_at_10
value: 28.872999999999998
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ClimateFEVER
type: mteb/climate-fever
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: ndcg_at_10
value: 34.833
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CmedqaRetrieval
type: C-MTEB/CmedqaRetrieval
config: default
split: dev
revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
metrics:
- type: ndcg_at_10
value: 43.78
verified: false
- task:
type: PairClassification
dataset:
name: MTEB Cmnli
type: C-MTEB/CMNLI
config: default
split: validation
revision: 41bc36f332156f7adc9e38f53777c959b2ae9766
metrics:
- type: cos_sim_ap
value: 84.00640599186677
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CovidRetrieval
type: C-MTEB/CovidRetrieval
config: default
split: dev
revision: 1271c7809071a13532e05f25fb53511ffce77117
metrics:
- type: ndcg_at_10
value: 80.60000000000001
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia
type: mteb/dbpedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: ndcg_at_10
value: 40.116
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia-PL
type: clarin-knext/dbpedia-pl
config: default
split: test
revision: 76afe41d9af165cc40999fcaa92312b8b012064a
metrics:
- type: ndcg_at_10
value: 32.498
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DuRetrieval
type: C-MTEB/DuRetrieval
config: default
split: dev
revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
metrics:
- type: ndcg_at_10
value: 87.547
verified: false
- task:
type: Retrieval
dataset:
name: MTEB EcomRetrieval
type: C-MTEB/EcomRetrieval
config: default
split: dev
revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
metrics:
- type: ndcg_at_10
value: 64.85
verified: false
- task:
type: Classification
dataset:
name: MTEB EmotionClassification
type: mteb/emotion
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 47.949999999999996
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FEVER
type: mteb/fever
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: ndcg_at_10
value: 92.111
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA-PL
type: clarin-knext/fiqa-pl
config: default
split: test
revision: 2e535829717f8bf9dc829b7f911cc5bbd4e6608e
metrics:
- type: ndcg_at_10
value: 28.962
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA2018
type: mteb/fiqa
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: ndcg_at_10
value: 45.005
verified: false
- task:
type: Clustering
dataset:
name: MTEB HALClusteringS2S
type: lyon-nlp/clustering-hal-s2s
config: default
split: test
revision: e06ebbbb123f8144bef1a5d18796f3dec9ae2915
metrics:
- type: v_measure
value: 25.133776435657595
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA
type: mteb/hotpotqa
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: ndcg_at_10
value: 63.036
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA-PL
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- task:
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metrics:
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dataset:
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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- task:
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dataset:
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type: mteb/amazon_massive_scenario
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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- task:
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dataset:
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type: mteb/amazon_massive_scenario
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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- task:
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dataset:
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metrics:
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- task:
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dataset:
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split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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dataset:
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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value: 71.60726294552792
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- task:
type: Classification
dataset:
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type: mteb/amazon_massive_scenario
config: de
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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- task:
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dataset:
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type: mteb/amazon_massive_scenario
config: el
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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value: 69.52925353059851
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- task:
type: Classification
dataset:
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type: mteb/amazon_massive_scenario
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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value: 76.28446536650976
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- task:
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dataset:
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type: mteb/amazon_massive_scenario
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split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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- task:
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dataset:
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type: mteb/amazon_massive_scenario
config: fa
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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- task:
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dataset:
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config: fi
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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value: 67.20578345662408
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- task:
type: Classification
dataset:
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type: mteb/amazon_massive_scenario
config: fr
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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metrics:
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metrics:
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dataset:
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metrics:
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split: test
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metrics:
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value: 67.92199058507062
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
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split: dev
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metrics:
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metrics:
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value: 33.052031054565205
verified: false
- task:
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dataset:
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config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
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value: 31.969909524076794
verified: false
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split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
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value: 31.7530992892652
verified: false
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type: Retrieval
dataset:
name: MTEB MintakaRetrieval (fr)
type: jinaai/mintakaqa
config: fr
split: test
revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
metrics:
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dataset:
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config: ar
split: test
revision: None
metrics:
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value: 55.166000000000004
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (de)
type: Shitao/MLDR
config: de
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 55.155
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (en)
type: Shitao/MLDR
config: en
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 50.993
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (es)
type: Shitao/MLDR
config: es
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 81.228
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (fr)
type: Shitao/MLDR
config: fr
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 76.19
verified: false
- task:
type: Retrieval
dataset:
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config: hi
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 45.206
verified: false
- task:
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dataset:
name: MTEB MultiLongDocRetrieval (it)
type: Shitao/MLDR
config: it
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 66.741
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (ja)
type: Shitao/MLDR
config: ja
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 52.111
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (ko)
type: Shitao/MLDR
config: ko
split: test
revision: None
metrics:
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value: 46.733000000000004
verified: false
- task:
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dataset:
name: MTEB MultiLongDocRetrieval (pt)
type: Shitao/MLDR
config: pt
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 79.105
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (ru)
type: Shitao/MLDR
config: ru
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 64.21
verified: false
- task:
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dataset:
name: MTEB MultiLongDocRetrieval (th)
type: Shitao/MLDR
config: th
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 35.467
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (zh)
type: Shitao/MLDR
config: zh
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 27.419
verified: false
- task:
type: Classification
dataset:
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type: C-MTEB/MultilingualSentiment-classification
config: default
split: validation
revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
metrics:
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value: 61.02000000000001
verified: false
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dataset:
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type: mteb/nfcorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
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value: 36.65
verified: false
- task:
type: Retrieval
dataset:
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type: clarin-knext/nfcorpus-pl
config: default
split: test
revision: 9a6f9567fda928260afed2de480d79c98bf0bec0
metrics:
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value: 26.831
verified: false
- task:
type: Retrieval
dataset:
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type: mteb/nq
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
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value: 58.111000000000004
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NQ-PL
type: clarin-knext/nq-pl
config: default
split: test
revision: f171245712cf85dd4700b06bef18001578d0ca8d
metrics:
- type: ndcg_at_10
value: 43.126999999999995
verified: false
- task:
type: PairClassification
dataset:
name: MTEB Ocnli
type: C-MTEB/OCNLI
config: default
split: validation
revision: 66e76a618a34d6d565d5538088562851e6daa7ec
metrics:
- type: cos_sim_ap
value: 72.67630697316041
verified: false
- task:
type: Classification
dataset:
name: MTEB OnlineShopping
type: C-MTEB/OnlineShopping-classification
config: default
split: test
revision: e610f2ebd179a8fda30ae534c3878750a96db120
metrics:
- type: accuracy
value: 84.85000000000001
verified: false
- task:
type: PairClassification
dataset:
name: MTEB OpusparcusPC (fr)
type: GEM/opusparcus
config: fr
split: test
revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
metrics:
- type: cos_sim_ap
value: 100
verified: false
- task:
type: Classification
dataset:
name: MTEB PAC
type: laugustyniak/abusive-clauses-pl
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 65.99189110918043
verified: false
- task:
type: STS
dataset:
name: MTEB PAWSX
type: C-MTEB/PAWSX
config: default
split: test
revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
metrics:
- type: cos_sim_spearman
value: 16.124364530596228
verified: false
- task:
type: PairClassification
dataset:
name: MTEB PPC
type: PL-MTEB/ppc-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_ap
value: 92.43431057460192
verified: false
- task:
type: PairClassification
dataset:
name: MTEB PSC
type: PL-MTEB/psc-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_ap
value: 99.06090138049724
verified: false
- task:
type: PairClassification
dataset:
name: MTEB PawsX (fr)
type: paws-x
config: fr
split: test
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
metrics:
- type: cos_sim_ap
value: 58.9314954874314
verified: false
- task:
type: Classification
dataset:
name: MTEB PolEmo2.0-IN
type: PL-MTEB/polemo2_in
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 69.59833795013851
verified: false
- task:
type: Classification
dataset:
name: MTEB PolEmo2.0-OUT
type: PL-MTEB/polemo2_out
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 44.73684210526315
verified: false
- task:
type: STS
dataset:
name: MTEB QBQTC
type: C-MTEB/QBQTC
config: default
split: test
revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
metrics:
- type: cos_sim_spearman
value: 39.36450754137984
verified: false
- task:
type: Retrieval
dataset:
name: MTEB Quora-PL
type: clarin-knext/quora-pl
config: default
split: test
revision: 0be27e93455051e531182b85e85e425aba12e9d4
metrics:
- type: ndcg_at_10
value: 80.76299999999999
verified: false
- task:
type: Retrieval
dataset:
name: MTEB QuoraRetrieval
type: mteb/quora
config: default
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 88.022
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClustering
type: mteb/reddit-clustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 55.719165988934385
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClusteringP2P
type: mteb/reddit-clustering-p2p
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 62.25390069273025
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS
type: mteb/scidocs
config: default
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 18.243000000000002
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS-PL
type: clarin-knext/scidocs-pl
config: default
split: test
revision: 45452b03f05560207ef19149545f168e596c9337
metrics:
- type: ndcg_at_10
value: 14.219000000000001
verified: false
- task:
type: PairClassification
dataset:
name: MTEB SICK-E-PL
type: PL-MTEB/sicke-pl-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_ap
value: 75.4022630307816
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R
type: mteb/sickr-sts
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_spearman
value: 79.34269390198548
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R-PL
type: PL-MTEB/sickr-pl-sts
config: default
split: test
revision: None
metrics:
- type: cos_sim_spearman
value: 74.0651660446132
verified: false
- task:
type: STS
dataset:
name: MTEB SICKFr
type: Lajavaness/SICK-fr
config: default
split: test
revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
metrics:
- type: cos_sim_spearman
value: 78.62693119733123
verified: false
- task:
type: STS
dataset:
name: MTEB STS12
type: mteb/sts12-sts
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_spearman
value: 77.50660544631359
verified: false
- task:
type: STS
dataset:
name: MTEB STS13
type: mteb/sts13-sts
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_spearman
value: 85.55415077723738
verified: false
- task:
type: STS
dataset:
name: MTEB STS14
type: mteb/sts14-sts
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_spearman
value: 81.67550814479077
verified: false
- task:
type: STS
dataset:
name: MTEB STS15
type: mteb/sts15-sts
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_spearman
value: 88.94601412322764
verified: false
- task:
type: STS
dataset:
name: MTEB STS16
type: mteb/sts16-sts
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics:
- type: cos_sim_spearman
value: 84.33844259337481
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (ko-ko)
type: mteb/sts17-crosslingual-sts
config: ko-ko
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_spearman
value: 81.58650681159105
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (ar-ar)
type: mteb/sts17-crosslingual-sts
config: ar-ar
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_spearman
value: 78.82472265884256
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-ar)
type: mteb/sts17-crosslingual-sts
config: en-ar
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_spearman
value: 76.43637938260397
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-de)
type: mteb/sts17-crosslingual-sts
config: en-de
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_spearman
value: 84.71008299464059
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-en)
type: mteb/sts17-crosslingual-sts
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_spearman
value: 88.88074713413747
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-tr)
type: mteb/sts17-crosslingual-sts
config: en-tr
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_spearman
value: 76.36405640457285
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (es-en)
type: mteb/sts17-crosslingual-sts
config: es-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_spearman
value: 83.84737910084762
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (es-es)
type: mteb/sts17-crosslingual-sts
config: es-es
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_spearman
value: 87.03931621433031
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (fr-en)
type: mteb/sts17-crosslingual-sts
config: fr-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_spearman
value: 84.43335591752246
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (it-en)
type: mteb/sts17-crosslingual-sts
config: it-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_spearman
value: 83.85268648747021
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (nl-en)
type: mteb/sts17-crosslingual-sts
config: nl-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
- type: cos_sim_spearman
value: 82.45786516224341
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (en)
type: mteb/sts22-crosslingual-sts
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 67.20227303970304
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (de)
type: mteb/sts22-crosslingual-sts
config: de
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 60.892838305537126
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (es)
type: mteb/sts22-crosslingual-sts
config: es
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 72.01876318464508
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (pl)
type: mteb/sts22-crosslingual-sts
config: pl
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 42.3879320510127
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (tr)
type: mteb/sts22-crosslingual-sts
config: tr
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 65.54048784845729
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (ar)
type: mteb/sts22-crosslingual-sts
config: ar
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 58.55244068334867
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (ru)
type: mteb/sts22-crosslingual-sts
config: ru
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 66.48710288440624
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (zh)
type: mteb/sts22-crosslingual-sts
config: zh
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 66.585754901838
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (fr)
type: mteb/sts22-crosslingual-sts
config: fr
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 81.03001290557805
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (de-en)
type: mteb/sts22-crosslingual-sts
config: de-en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 62.28001859884359
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (es-en)
type: mteb/sts22-crosslingual-sts
config: es-en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 79.64106342105019
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (it)
type: mteb/sts22-crosslingual-sts
config: it
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 78.27915339361124
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (pl-en)
type: mteb/sts22-crosslingual-sts
config: pl-en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 78.28574268257462
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (zh-en)
type: mteb/sts22-crosslingual-sts
config: zh-en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 72.92658860751482
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (es-it)
type: mteb/sts22-crosslingual-sts
config: es-it
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 74.83418886368217
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (de-fr)
type: mteb/sts22-crosslingual-sts
config: de-fr
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 56.01064022625769
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (de-pl)
type: mteb/sts22-crosslingual-sts
config: de-pl
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 53.64332829635126
verified: false
- task:
type: STS
dataset:
name: MTEB STS22 (fr-pl)
type: mteb/sts22-crosslingual-sts
config: fr-pl
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
- type: cos_sim_spearman
value: 73.24670207647144
verified: false
- task:
type: STS
dataset:
name: MTEB STSB
type: C-MTEB/STSB
config: default
split: test
revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
metrics:
- type: cos_sim_spearman
value: 80.7157790971544
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmark
type: mteb/stsbenchmark-sts
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
- type: cos_sim_spearman
value: 86.45763616928973
verified: false
- task:
type: STS
dataset:
name: MTEB STSBenchmarkMultilingualSTS (fr)
type: stsb_multi_mt
config: fr
split: test
revision: 93d57ef91790589e3ce9c365164337a8a78b7632
metrics:
- type: cos_sim_spearman
value: 84.4335500335282
verified: false
- task:
type: Reranking
dataset:
name: MTEB SciDocsRR
type: mteb/scidocs-reranking
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
- type: map
value: 84.15276484499303
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact
type: mteb/scifact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
- type: ndcg_at_10
value: 73.433
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SciFact-PL
type: clarin-knext/scifact-pl
config: default
split: test
revision: 47932a35f045ef8ed01ba82bf9ff67f6e109207e
metrics:
- type: ndcg_at_10
value: 58.919999999999995
verified: false
- task:
type: PairClassification
dataset:
name: MTEB SprintDuplicateQuestions
type: mteb/sprintduplicatequestions-pairclassification
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
- type: cos_sim_ap
value: 95.40564890916419
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClustering
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
- type: v_measure
value: 63.41856697730145
verified: false
- task:
type: Clustering
dataset:
name: MTEB StackExchangeClusteringP2P
type: mteb/stackexchange-clustering-p2p
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
- type: v_measure
value: 31.709285904909112
verified: false
- task:
type: Reranking
dataset:
name: MTEB StackOverflowDupQuestions
type: mteb/stackoverflowdupquestions-reranking
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
- type: map
value: 52.09341030060322
verified: false
- task:
type: Summarization
dataset:
name: MTEB SummEval
type: mteb/summeval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
- type: cos_sim_spearman
value: 30.58262517835034
verified: false
- task:
type: Summarization
dataset:
name: MTEB SummEvalFr
type: lyon-nlp/summarization-summeval-fr-p2p
config: default
split: test
revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
metrics:
- type: cos_sim_spearman
value: 29.744542072951358
verified: false
- task:
type: Reranking
dataset:
name: MTEB SyntecReranking
type: lyon-nlp/mteb-fr-reranking-syntec-s2p
config: default
split: test
revision: b205c5084a0934ce8af14338bf03feb19499c84d
metrics:
- type: map
value: 88.03333333333333
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SyntecRetrieval
type: lyon-nlp/mteb-fr-retrieval-syntec-s2p
config: default
split: test
revision: 77f7e271bf4a92b24fce5119f3486b583ca016ff
metrics:
- type: ndcg_at_10
value: 83.043
verified: false
- task:
type: Reranking
dataset:
name: MTEB T2Reranking
type: C-MTEB/T2Reranking
config: default
split: dev
revision: 76631901a18387f85eaa53e5450019b87ad58ef9
metrics:
- type: map
value: 67.08577894804324
verified: false
- task:
type: Retrieval
dataset:
name: MTEB T2Retrieval
type: C-MTEB/T2Retrieval
config: default
split: dev
revision: 8731a845f1bf500a4f111cf1070785c793d10e64
metrics:
- type: ndcg_at_10
value: 84.718
verified: false
- task:
type: Classification
dataset:
name: MTEB TNews
type: C-MTEB/TNews-classification
config: default
split: validation
revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
metrics:
- type: accuracy
value: 48.726
verified: false
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID
type: mteb/trec-covid
config: default
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 57.56
verified: false
- task:
type: Retrieval
dataset:
name: MTEB TRECCOVID-PL
type: clarin-knext/trec-covid-pl
config: default
split: test
revision: 81bcb408f33366c2a20ac54adafad1ae7e877fdd
metrics:
- type: ndcg_at_10
value: 59.355999999999995
verified: false
- task:
type: BitextMining
dataset:
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type: mteb/tatoeba-bitext-mining
config: tgl-eng
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metrics:
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value: 67.23062271062273
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name: MTEB Tatoeba (ast-eng)
type: mteb/tatoeba-bitext-mining
config: ast-eng
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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value: 78.08398950131233
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type: mteb/tatoeba-bitext-mining
config: mkd-eng
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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value: 77.85166666666666
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type: mteb/tatoeba-bitext-mining
config: khm-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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type: mteb/tatoeba-bitext-mining
config: ces-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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value: 89.77000000000001
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type: mteb/tatoeba-bitext-mining
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split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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value: 40.2654503616042
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type: mteb/tatoeba-bitext-mining
config: urd-eng
split: test
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metrics:
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type: mteb/tatoeba-bitext-mining
config: ara-eng
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metrics:
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type: mteb/tatoeba-bitext-mining
config: kor-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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value: 84.08
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dataset:
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type: mteb/tatoeba-bitext-mining
config: yid-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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dataset:
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type: mteb/tatoeba-bitext-mining
config: fin-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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value: 88.19333333333333
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- task:
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dataset:
name: MTEB Tatoeba (tha-eng)
type: mteb/tatoeba-bitext-mining
config: tha-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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value: 90.55352798053529
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- task:
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dataset:
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type: mteb/tatoeba-bitext-mining
config: wuu-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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value: 88.44999999999999
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- task:
type: Clustering
dataset:
name: MTEB ThuNewsClusteringP2P
type: C-MTEB/ThuNewsClusteringP2P
config: default
split: test
revision: 5798586b105c0434e4f0fe5e767abe619442cf93
metrics:
- type: v_measure
value: 57.25416429643288
verified: false
- task:
type: Clustering
dataset:
name: MTEB ThuNewsClusteringS2S
type: C-MTEB/ThuNewsClusteringS2S
config: default
split: test
revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
metrics:
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value: 56.616646560243524
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- task:
type: Retrieval
dataset:
name: MTEB Touche2020
type: mteb/touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
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value: 22.819
verified: false
- task:
type: Classification
dataset:
name: MTEB ToxicConversationsClassification
type: mteb/toxic_conversations_50k
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 71.02579999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB TweetSentimentExtractionClassification
type: mteb/tweet_sentiment_extraction
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 57.60045274476514
verified: false
- task:
type: Clustering
dataset:
name: MTEB TwentyNewsgroupsClustering
type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 50.346666699466205
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterSemEval2015
type: mteb/twittersemeval2015-pairclassification
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_ap
value: 71.88199004440489
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterURLCorpus
type: mteb/twitterurlcorpus-pairclassification
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_ap
value: 85.41587779677383
verified: false
- task:
type: Retrieval
dataset:
name: MTEB VideoRetrieval
type: C-MTEB/VideoRetrieval
config: default
split: dev
revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
metrics:
- type: ndcg_at_10
value: 72.792
verified: false
- task:
type: Classification
dataset:
name: MTEB Waimai
type: C-MTEB/waimai-classification
config: default
split: test
revision: 339287def212450dcaa9df8c22bf93e9980c7023
metrics:
- type: accuracy
value: 82.58000000000001
verified: false
- task:
type: Retrieval
dataset:
name: MTEB XPQARetrieval (fr)
type: jinaai/xpqa
config: fr
split: test
revision: c99d599f0a6ab9b85b065da6f9d94f9cf731679f
metrics:
- type: ndcg_at_10
value: 67.327
verified: false | null | null | null | null | [
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] | null | null | null | 2025-03-17T05:40:01+00:00 | language:
- af
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- az
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- bg
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- ceb
- cs
- cy
- da
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- en
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- et
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license: apache-2.0
tags:
- mteb
- sentence-transformers
- transformers
- multilingual
- sentence-similarity
model-index:
- name: gte-multilingual-base (dense)
results:
- task:
type: Clustering
dataset:
name: MTEB 8TagsClustering
type: PL-MTEB/8tags-clustering
config: default
split: test
revision: None
metrics:
- type: v_measure
value: 33.66681726329994
verified: false
- task:
type: STS
dataset:
name: MTEB AFQMC
type: C-MTEB/AFQMC
config: default
split: validation
revision: b44c3b011063adb25877c13823db83bb193913c4
metrics:
- type: cos_sim_spearman
value: 43.54760696384009
verified: false
- task:
type: STS
dataset:
name: MTEB ATEC
type: C-MTEB/ATEC
config: default
split: test
revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
metrics:
- type: cos_sim_spearman
value: 48.91186363417501
verified: false
- task:
type: Classification
dataset:
name: MTEB AllegroReviews
type: PL-MTEB/allegro-reviews
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 41.689860834990064
verified: false
- task:
type: Clustering
dataset:
name: MTEB AlloProfClusteringP2P
type: lyon-nlp/alloprof
config: default
split: test
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
metrics:
- type: v_measure
value: 54.20241337977897
verified: false
- type: v_measure
value: 44.34083695608643
verified: false
- task:
type: Reranking
dataset:
name: MTEB AlloprofReranking
type: lyon-nlp/mteb-fr-reranking-alloprof-s2p
config: default
split: test
revision: 666fdacebe0291776e86f29345663dfaf80a0db9
metrics:
- type: map
value: 64.91495250072002
verified: false
- task:
type: Retrieval
dataset:
name: MTEB AlloprofRetrieval
type: lyon-nlp/alloprof
config: default
split: test
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
metrics:
- type: ndcg_at_10
value: 53.638
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactual
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics:
- type: accuracy
value: 75.95522388059702
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonPolarityClassification
type: mteb/amazon_polarity
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics:
- type: accuracy
value: 80.717625
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (en)
type: mteb/amazon_reviews_multi
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 43.64199999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (de)
type: mteb/amazon_reviews_multi
config: de
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 40.108
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (es)
type: mteb/amazon_reviews_multi
config: es
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 40.169999999999995
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (fr)
type: mteb/amazon_reviews_multi
config: fr
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 39.56799999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (ja)
type: mteb/amazon_reviews_multi
config: ja
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 35.75000000000001
verified: false
- task:
type: Classification
dataset:
name: MTEB AmazonReviewsClassification (zh)
type: mteb/amazon_reviews_multi
config: zh
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics:
- type: accuracy
value: 33.342000000000006
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna
type: mteb/arguana
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics:
- type: ndcg_at_10
value: 58.231
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ArguAna-PL
type: clarin-knext/arguana-pl
config: default
split: test
revision: 63fc86750af76253e8c760fc9e534bbf24d260a2
metrics:
- type: ndcg_at_10
value: 53.166000000000004
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringP2P
type: mteb/arxiv-clustering-p2p
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics:
- type: v_measure
value: 46.01900557959478
verified: false
- task:
type: Clustering
dataset:
name: MTEB ArxivClusteringS2S
type: mteb/arxiv-clustering-s2s
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics:
- type: v_measure
value: 41.06626465345723
verified: false
- task:
type: Reranking
dataset:
name: MTEB AskUbuntuDupQuestions
type: mteb/askubuntudupquestions-reranking
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics:
- type: map
value: 61.87514497610431
verified: false
- task:
type: STS
dataset:
name: MTEB BIOSSES
type: mteb/biosses-sts
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics:
- type: cos_sim_spearman
value: 81.21450112991194
verified: false
- task:
type: STS
dataset:
name: MTEB BQ
type: C-MTEB/BQ
config: default
split: test
revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
metrics:
- type: cos_sim_spearman
value: 51.71589543397271
verified: false
- task:
type: Retrieval
dataset:
name: MTEB BSARDRetrieval
type: maastrichtlawtech/bsard
config: default
split: test
revision: 5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59
metrics:
- type: ndcg_at_10
value: 26.115
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (de-en)
type: mteb/bucc-bitext-mining
config: de-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: f1
value: 98.6169102296451
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (fr-en)
type: mteb/bucc-bitext-mining
config: fr-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: f1
value: 97.89603052314916
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (ru-en)
type: mteb/bucc-bitext-mining
config: ru-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: f1
value: 97.12388869645537
verified: false
- task:
type: BitextMining
dataset:
name: MTEB BUCC (zh-en)
type: mteb/bucc-bitext-mining
config: zh-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics:
- type: f1
value: 98.15692469720906
verified: false
- task:
type: Classification
dataset:
name: MTEB Banking77Classification
type: mteb/banking77
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics:
- type: accuracy
value: 85.36038961038962
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringP2P
type: mteb/biorxiv-clustering-p2p
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics:
- type: v_measure
value: 37.5903826674123
verified: false
- task:
type: Clustering
dataset:
name: MTEB BiorxivClusteringS2S
type: mteb/biorxiv-clustering-s2s
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics:
- type: v_measure
value: 34.21474277151329
verified: false
- task:
type: Classification
dataset:
name: MTEB CBD
type: PL-MTEB/cbd
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 62.519999999999996
verified: false
- task:
type: PairClassification
dataset:
name: MTEB CDSC-E
type: PL-MTEB/cdsce-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_ap
value: 74.90132799162956
verified: false
- task:
type: STS
dataset:
name: MTEB CDSC-R
type: PL-MTEB/cdscr-sts
config: default
split: test
revision: None
metrics:
- type: cos_sim_spearman
value: 90.30727955142524
verified: false
- task:
type: Clustering
dataset:
name: MTEB CLSClusteringP2P
type: C-MTEB/CLSClusteringP2P
config: default
split: test
revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
metrics:
- type: v_measure
value: 37.94850105022274
verified: false
- task:
type: Clustering
dataset:
name: MTEB CLSClusteringS2S
type: C-MTEB/CLSClusteringS2S
config: default
split: test
revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
metrics:
- type: v_measure
value: 38.11958675421534
verified: false
- task:
type: Reranking
dataset:
name: MTEB CMedQAv1
type: C-MTEB/CMedQAv1-reranking
config: default
split: test
revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
metrics:
- type: map
value: 86.10950950485399
verified: false
- task:
type: Reranking
dataset:
name: MTEB CMedQAv2
type: C-MTEB/CMedQAv2-reranking
config: default
split: test
revision: 23d186750531a14a0357ca22cd92d712fd512ea0
metrics:
- type: map
value: 87.28038294231966
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackAndroidRetrieval
type: mteb/cqadupstack-android
config: default
split: test
revision: f46a197baaae43b4f621051089b82a364682dfeb
metrics:
- type: ndcg_at_10
value: 47.099000000000004
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackEnglishRetrieval
type: mteb/cqadupstack-english
config: default
split: test
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
metrics:
- type: ndcg_at_10
value: 45.973000000000006
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGamingRetrieval
type: mteb/cqadupstack-gaming
config: default
split: test
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
metrics:
- type: ndcg_at_10
value: 55.606
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackGisRetrieval
type: mteb/cqadupstack-gis
config: default
split: test
revision: 5003b3064772da1887988e05400cf3806fe491f2
metrics:
- type: ndcg_at_10
value: 36.638
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackMathematicaRetrieval
type: mteb/cqadupstack-mathematica
config: default
split: test
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
metrics:
- type: ndcg_at_10
value: 30.711
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackPhysicsRetrieval
type: mteb/cqadupstack-physics
config: default
split: test
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
metrics:
- type: ndcg_at_10
value: 44.523
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackProgrammersRetrieval
type: mteb/cqadupstack-programmers
config: default
split: test
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
metrics:
- type: ndcg_at_10
value: 37.940000000000005
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackRetrieval
type: mteb/cqadupstack
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: ndcg_at_10
value: 38.12183333333333
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackStatsRetrieval
type: mteb/cqadupstack-stats
config: default
split: test
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
metrics:
- type: ndcg_at_10
value: 32.684000000000005
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackTexRetrieval
type: mteb/cqadupstack-tex
config: default
split: test
revision: 46989137a86843e03a6195de44b09deda022eec7
metrics:
- type: ndcg_at_10
value: 26.735
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackUnixRetrieval
type: mteb/cqadupstack-unix
config: default
split: test
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
metrics:
- type: ndcg_at_10
value: 36.933
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackWebmastersRetrieval
type: mteb/cqadupstack-webmasters
config: default
split: test
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
metrics:
- type: ndcg_at_10
value: 33.747
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CQADupstackWordpressRetrieval
type: mteb/cqadupstack-wordpress
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics:
- type: ndcg_at_10
value: 28.872999999999998
verified: false
- task:
type: Retrieval
dataset:
name: MTEB ClimateFEVER
type: mteb/climate-fever
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics:
- type: ndcg_at_10
value: 34.833
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CmedqaRetrieval
type: C-MTEB/CmedqaRetrieval
config: default
split: dev
revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
metrics:
- type: ndcg_at_10
value: 43.78
verified: false
- task:
type: PairClassification
dataset:
name: MTEB Cmnli
type: C-MTEB/CMNLI
config: default
split: validation
revision: 41bc36f332156f7adc9e38f53777c959b2ae9766
metrics:
- type: cos_sim_ap
value: 84.00640599186677
verified: false
- task:
type: Retrieval
dataset:
name: MTEB CovidRetrieval
type: C-MTEB/CovidRetrieval
config: default
split: dev
revision: 1271c7809071a13532e05f25fb53511ffce77117
metrics:
- type: ndcg_at_10
value: 80.60000000000001
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia
type: mteb/dbpedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics:
- type: ndcg_at_10
value: 40.116
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DBPedia-PL
type: clarin-knext/dbpedia-pl
config: default
split: test
revision: 76afe41d9af165cc40999fcaa92312b8b012064a
metrics:
- type: ndcg_at_10
value: 32.498
verified: false
- task:
type: Retrieval
dataset:
name: MTEB DuRetrieval
type: C-MTEB/DuRetrieval
config: default
split: dev
revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
metrics:
- type: ndcg_at_10
value: 87.547
verified: false
- task:
type: Retrieval
dataset:
name: MTEB EcomRetrieval
type: C-MTEB/EcomRetrieval
config: default
split: dev
revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
metrics:
- type: ndcg_at_10
value: 64.85
verified: false
- task:
type: Classification
dataset:
name: MTEB EmotionClassification
type: mteb/emotion
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics:
- type: accuracy
value: 47.949999999999996
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FEVER
type: mteb/fever
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics:
- type: ndcg_at_10
value: 92.111
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA-PL
type: clarin-knext/fiqa-pl
config: default
split: test
revision: 2e535829717f8bf9dc829b7f911cc5bbd4e6608e
metrics:
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value: 28.962
verified: false
- task:
type: Retrieval
dataset:
name: MTEB FiQA2018
type: mteb/fiqa
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics:
- type: ndcg_at_10
value: 45.005
verified: false
- task:
type: Clustering
dataset:
name: MTEB HALClusteringS2S
type: lyon-nlp/clustering-hal-s2s
config: default
split: test
revision: e06ebbbb123f8144bef1a5d18796f3dec9ae2915
metrics:
- type: v_measure
value: 25.133776435657595
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA
type: mteb/hotpotqa
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics:
- type: ndcg_at_10
value: 63.036
verified: false
- task:
type: Retrieval
dataset:
name: MTEB HotpotQA-PL
type: clarin-knext/hotpotqa-pl
config: default
split: test
revision: a0bd479ac97b4ccb5bd6ce320c415d0bb4beb907
metrics:
- type: ndcg_at_10
value: 56.904999999999994
verified: false
- task:
type: Classification
dataset:
name: MTEB IFlyTek
type: C-MTEB/IFlyTek-classification
config: default
split: validation
revision: 421605374b29664c5fc098418fe20ada9bd55f8a
metrics:
- type: accuracy
value: 44.59407464409388
verified: false
- task:
type: Classification
dataset:
name: MTEB ImdbClassification
type: mteb/imdb
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics:
- type: accuracy
value: 74.912
verified: false
- task:
type: Classification
dataset:
name: MTEB JDReview
type: C-MTEB/JDReview-classification
config: default
split: test
revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
metrics:
- type: accuracy
value: 79.26829268292683
verified: false
- task:
type: STS
dataset:
name: MTEB LCQMC
type: C-MTEB/LCQMC
config: default
split: test
revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
metrics:
- type: cos_sim_spearman
value: 74.8601229809791
verified: false
- task:
type: Clustering
dataset:
name: MTEB MLSUMClusteringP2P
type: mlsum
config: default
split: test
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
metrics:
- type: v_measure
value: 42.331902754246556
verified: false
- type: v_measure
value: 40.92029335502153
verified: false
- task:
type: Reranking
dataset:
name: MTEB MMarcoReranking
type: C-MTEB/Mmarco-reranking
config: default
split: dev
revision: 8e0c766dbe9e16e1d221116a3f36795fbade07f6
metrics:
- type: map
value: 32.19266316591337
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MMarcoRetrieval
type: C-MTEB/MMarcoRetrieval
config: default
split: dev
revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
metrics:
- type: ndcg_at_10
value: 79.346
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MSMARCO
type: mteb/msmarco
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics:
- type: ndcg_at_10
value: 39.922999999999995
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MSMARCO-PL
type: clarin-knext/msmarco-pl
config: default
split: test
revision: 8634c07806d5cce3a6138e260e59b81760a0a640
metrics:
- type: ndcg_at_10
value: 55.620999999999995
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (en)
type: mteb/mtop_domain
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 92.53989968080255
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (de)
type: mteb/mtop_domain
config: de
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 88.26993519301212
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (es)
type: mteb/mtop_domain
config: es
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 90.87725150100067
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (fr)
type: mteb/mtop_domain
config: fr
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 87.48512370811149
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (hi)
type: mteb/mtop_domain
config: hi
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 89.45141627823591
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPDomainClassification (th)
type: mteb/mtop_domain
config: th
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics:
- type: accuracy
value: 83.45750452079565
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (en)
type: mteb/mtop_intent
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 72.57637938896488
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (de)
type: mteb/mtop_intent
config: de
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 63.50803043110736
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (es)
type: mteb/mtop_intent
config: es
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 71.6577718478986
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (fr)
type: mteb/mtop_intent
config: fr
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 64.05887879736925
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (hi)
type: mteb/mtop_intent
config: hi
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 65.27070634636071
verified: false
- task:
type: Classification
dataset:
name: MTEB MTOPIntentClassification (th)
type: mteb/mtop_intent
config: th
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics:
- type: accuracy
value: 63.04520795660037
verified: false
- task:
type: Classification
dataset:
name: MTEB MasakhaNEWSClassification (fra)
type: masakhane/masakhanews
config: fra
split: test
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
metrics:
- type: accuracy
value: 80.66350710900474
verified: false
- task:
type: Clustering
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type: mteb/amazon_massive_scenario
config: ja
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 71.59381304640216
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (jv)
type: mteb/amazon_massive_scenario
config: jv
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 57.010759919300604
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (ka)
type: mteb/amazon_massive_scenario
config: ka
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 53.26160053799597
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (km)
type: mteb/amazon_massive_scenario
config: km
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 57.800941492938804
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (kn)
type: mteb/amazon_massive_scenario
config: kn
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 62.387357094821795
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (ko)
type: mteb/amazon_massive_scenario
config: ko
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 69.5359784801614
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (lv)
type: mteb/amazon_massive_scenario
config: lv
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 63.36919973100203
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (ml)
type: mteb/amazon_massive_scenario
config: ml
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 64.81506388702084
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (mn)
type: mteb/amazon_massive_scenario
config: mn
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 59.35104236718225
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (ms)
type: mteb/amazon_massive_scenario
config: ms
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 66.67787491593813
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (my)
type: mteb/amazon_massive_scenario
config: my
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 59.4250168123739
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (nb)
type: mteb/amazon_massive_scenario
config: nb
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 71.49630127774043
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (nl)
type: mteb/amazon_massive_scenario
config: nl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 71.95696032279758
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (pl)
type: mteb/amazon_massive_scenario
config: pl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 70.11768661735036
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (pt)
type: mteb/amazon_massive_scenario
config: pt
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 71.86953597848016
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (ro)
type: mteb/amazon_massive_scenario
config: ro
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 68.51042367182247
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (ru)
type: mteb/amazon_massive_scenario
config: ru
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 71.65097511768661
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (sl)
type: mteb/amazon_massive_scenario
config: sl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 66.81573638197713
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (sq)
type: mteb/amazon_massive_scenario
config: sq
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 65.26227303295225
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (sv)
type: mteb/amazon_massive_scenario
config: sv
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 72.51513113651646
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (sw)
type: mteb/amazon_massive_scenario
config: sw
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 58.29858776059179
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (ta)
type: mteb/amazon_massive_scenario
config: ta
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 62.72696704774714
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (te)
type: mteb/amazon_massive_scenario
config: te
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 66.57700067249496
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (th)
type: mteb/amazon_massive_scenario
config: th
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 68.22797579018157
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (tl)
type: mteb/amazon_massive_scenario
config: tl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 61.97041022192333
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (tr)
type: mteb/amazon_massive_scenario
config: tr
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 70.72629455279085
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (ur)
type: mteb/amazon_massive_scenario
config: ur
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 63.16072629455278
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (vi)
type: mteb/amazon_massive_scenario
config: vi
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 67.92199058507062
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (zh-CN)
type: mteb/amazon_massive_scenario
config: zh-CN
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 74.40484196368527
verified: false
- task:
type: Classification
dataset:
name: MTEB MassiveScenarioClassification (zh-TW)
type: mteb/amazon_massive_scenario
config: zh-TW
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics:
- type: accuracy
value: 71.61398789509079
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MedicalRetrieval
type: C-MTEB/MedicalRetrieval
config: default
split: dev
revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
metrics:
- type: ndcg_at_10
value: 61.934999999999995
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringP2P
type: mteb/medrxiv-clustering-p2p
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics:
- type: v_measure
value: 33.052031054565205
verified: false
- task:
type: Clustering
dataset:
name: MTEB MedrxivClusteringS2S
type: mteb/medrxiv-clustering-s2s
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics:
- type: v_measure
value: 31.969909524076794
verified: false
- task:
type: Reranking
dataset:
name: MTEB MindSmallReranking
type: mteb/mind_small
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics:
- type: map
value: 31.7530992892652
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MintakaRetrieval (fr)
type: jinaai/mintakaqa
config: fr
split: test
revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
metrics:
- type: ndcg_at_10
value: 34.705999999999996
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (ar)
type: Shitao/MLDR
config: ar
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 55.166000000000004
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (de)
type: Shitao/MLDR
config: de
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 55.155
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (en)
type: Shitao/MLDR
config: en
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 50.993
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (es)
type: Shitao/MLDR
config: es
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 81.228
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (fr)
type: Shitao/MLDR
config: fr
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 76.19
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (hi)
type: Shitao/MLDR
config: hi
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 45.206
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (it)
type: Shitao/MLDR
config: it
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 66.741
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (ja)
type: Shitao/MLDR
config: ja
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 52.111
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (ko)
type: Shitao/MLDR
config: ko
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 46.733000000000004
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (pt)
type: Shitao/MLDR
config: pt
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 79.105
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (ru)
type: Shitao/MLDR
config: ru
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 64.21
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (th)
type: Shitao/MLDR
config: th
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 35.467
verified: false
- task:
type: Retrieval
dataset:
name: MTEB MultiLongDocRetrieval (zh)
type: Shitao/MLDR
config: zh
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 27.419
verified: false
- task:
type: Classification
dataset:
name: MTEB MultilingualSentiment
type: C-MTEB/MultilingualSentiment-classification
config: default
split: validation
revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
metrics:
- type: accuracy
value: 61.02000000000001
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NFCorpus
type: mteb/nfcorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics:
- type: ndcg_at_10
value: 36.65
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NFCorpus-PL
type: clarin-knext/nfcorpus-pl
config: default
split: test
revision: 9a6f9567fda928260afed2de480d79c98bf0bec0
metrics:
- type: ndcg_at_10
value: 26.831
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NQ
type: mteb/nq
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics:
- type: ndcg_at_10
value: 58.111000000000004
verified: false
- task:
type: Retrieval
dataset:
name: MTEB NQ-PL
type: clarin-knext/nq-pl
config: default
split: test
revision: f171245712cf85dd4700b06bef18001578d0ca8d
metrics:
- type: ndcg_at_10
value: 43.126999999999995
verified: false
- task:
type: PairClassification
dataset:
name: MTEB Ocnli
type: C-MTEB/OCNLI
config: default
split: validation
revision: 66e76a618a34d6d565d5538088562851e6daa7ec
metrics:
- type: cos_sim_ap
value: 72.67630697316041
verified: false
- task:
type: Classification
dataset:
name: MTEB OnlineShopping
type: C-MTEB/OnlineShopping-classification
config: default
split: test
revision: e610f2ebd179a8fda30ae534c3878750a96db120
metrics:
- type: accuracy
value: 84.85000000000001
verified: false
- task:
type: PairClassification
dataset:
name: MTEB OpusparcusPC (fr)
type: GEM/opusparcus
config: fr
split: test
revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
metrics:
- type: cos_sim_ap
value: 100
verified: false
- task:
type: Classification
dataset:
name: MTEB PAC
type: laugustyniak/abusive-clauses-pl
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 65.99189110918043
verified: false
- task:
type: STS
dataset:
name: MTEB PAWSX
type: C-MTEB/PAWSX
config: default
split: test
revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
metrics:
- type: cos_sim_spearman
value: 16.124364530596228
verified: false
- task:
type: PairClassification
dataset:
name: MTEB PPC
type: PL-MTEB/ppc-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_ap
value: 92.43431057460192
verified: false
- task:
type: PairClassification
dataset:
name: MTEB PSC
type: PL-MTEB/psc-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_ap
value: 99.06090138049724
verified: false
- task:
type: PairClassification
dataset:
name: MTEB PawsX (fr)
type: paws-x
config: fr
split: test
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
metrics:
- type: cos_sim_ap
value: 58.9314954874314
verified: false
- task:
type: Classification
dataset:
name: MTEB PolEmo2.0-IN
type: PL-MTEB/polemo2_in
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 69.59833795013851
verified: false
- task:
type: Classification
dataset:
name: MTEB PolEmo2.0-OUT
type: PL-MTEB/polemo2_out
config: default
split: test
revision: None
metrics:
- type: accuracy
value: 44.73684210526315
verified: false
- task:
type: STS
dataset:
name: MTEB QBQTC
type: C-MTEB/QBQTC
config: default
split: test
revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
metrics:
- type: cos_sim_spearman
value: 39.36450754137984
verified: false
- task:
type: Retrieval
dataset:
name: MTEB Quora-PL
type: clarin-knext/quora-pl
config: default
split: test
revision: 0be27e93455051e531182b85e85e425aba12e9d4
metrics:
- type: ndcg_at_10
value: 80.76299999999999
verified: false
- task:
type: Retrieval
dataset:
name: MTEB QuoraRetrieval
type: mteb/quora
config: default
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 88.022
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClustering
type: mteb/reddit-clustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics:
- type: v_measure
value: 55.719165988934385
verified: false
- task:
type: Clustering
dataset:
name: MTEB RedditClusteringP2P
type: mteb/reddit-clustering-p2p
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics:
- type: v_measure
value: 62.25390069273025
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS
type: mteb/scidocs
config: default
split: test
revision: None
metrics:
- type: ndcg_at_10
value: 18.243000000000002
verified: false
- task:
type: Retrieval
dataset:
name: MTEB SCIDOCS-PL
type: clarin-knext/scidocs-pl
config: default
split: test
revision: 45452b03f05560207ef19149545f168e596c9337
metrics:
- type: ndcg_at_10
value: 14.219000000000001
verified: false
- task:
type: PairClassification
dataset:
name: MTEB SICK-E-PL
type: PL-MTEB/sicke-pl-pairclassification
config: default
split: test
revision: None
metrics:
- type: cos_sim_ap
value: 75.4022630307816
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R
type: mteb/sickr-sts
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics:
- type: cos_sim_spearman
value: 79.34269390198548
verified: false
- task:
type: STS
dataset:
name: MTEB SICK-R-PL
type: PL-MTEB/sickr-pl-sts
config: default
split: test
revision: None
metrics:
- type: cos_sim_spearman
value: 74.0651660446132
verified: false
- task:
type: STS
dataset:
name: MTEB SICKFr
type: Lajavaness/SICK-fr
config: default
split: test
revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
metrics:
- type: cos_sim_spearman
value: 78.62693119733123
verified: false
- task:
type: STS
dataset:
name: MTEB STS12
type: mteb/sts12-sts
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics:
- type: cos_sim_spearman
value: 77.50660544631359
verified: false
- task:
type: STS
dataset:
name: MTEB STS13
type: mteb/sts13-sts
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics:
- type: cos_sim_spearman
value: 85.55415077723738
verified: false
- task:
type: STS
dataset:
name: MTEB STS14
type: mteb/sts14-sts
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics:
- type: cos_sim_spearman
value: 81.67550814479077
verified: false
- task:
type: STS
dataset:
name: MTEB STS15
type: mteb/sts15-sts
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics:
- type: cos_sim_spearman
value: 88.94601412322764
verified: false
- task:
type: STS
dataset:
name: MTEB STS16
type: mteb/sts16-sts
config: default
split: test
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metrics:
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verified: false
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type: STS
dataset:
name: MTEB STS17 (ko-ko)
type: mteb/sts17-crosslingual-sts
config: ko-ko
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
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verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (ar-ar)
type: mteb/sts17-crosslingual-sts
config: ar-ar
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
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value: 78.82472265884256
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-ar)
type: mteb/sts17-crosslingual-sts
config: en-ar
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
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value: 76.43637938260397
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-de)
type: mteb/sts17-crosslingual-sts
config: en-de
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
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value: 84.71008299464059
verified: false
- task:
type: STS
dataset:
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type: mteb/sts17-crosslingual-sts
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
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value: 88.88074713413747
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (en-tr)
type: mteb/sts17-crosslingual-sts
config: en-tr
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
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value: 76.36405640457285
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (es-en)
type: mteb/sts17-crosslingual-sts
config: es-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
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value: 83.84737910084762
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (es-es)
type: mteb/sts17-crosslingual-sts
config: es-es
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
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value: 87.03931621433031
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (fr-en)
type: mteb/sts17-crosslingual-sts
config: fr-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
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value: 84.43335591752246
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (it-en)
type: mteb/sts17-crosslingual-sts
config: it-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
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value: 83.85268648747021
verified: false
- task:
type: STS
dataset:
name: MTEB STS17 (nl-en)
type: mteb/sts17-crosslingual-sts
config: nl-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics:
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value: 82.45786516224341
verified: false
- task:
type: STS
dataset:
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type: mteb/sts22-crosslingual-sts
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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value: 67.20227303970304
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- task:
type: STS
dataset:
name: MTEB STS22 (de)
type: mteb/sts22-crosslingual-sts
config: de
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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value: 60.892838305537126
verified: false
- task:
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dataset:
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type: mteb/sts22-crosslingual-sts
config: es
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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value: 72.01876318464508
verified: false
- task:
type: STS
dataset:
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type: mteb/sts22-crosslingual-sts
config: pl
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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value: 42.3879320510127
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- task:
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dataset:
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type: mteb/sts22-crosslingual-sts
config: tr
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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- task:
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dataset:
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type: mteb/sts22-crosslingual-sts
config: ar
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revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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- task:
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dataset:
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type: mteb/sts22-crosslingual-sts
config: ru
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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dataset:
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revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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- task:
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dataset:
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type: mteb/sts22-crosslingual-sts
config: fr
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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- task:
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dataset:
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type: mteb/sts22-crosslingual-sts
config: de-en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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dataset:
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config: es-en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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dataset:
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revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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- task:
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dataset:
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split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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- task:
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dataset:
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revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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dataset:
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revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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dataset:
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split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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dataset:
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revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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dataset:
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split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics:
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dataset:
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split: test
revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
metrics:
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dataset:
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split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics:
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dataset:
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split: test
revision: 93d57ef91790589e3ce9c365164337a8a78b7632
metrics:
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split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics:
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split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics:
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dataset:
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split: test
revision: 47932a35f045ef8ed01ba82bf9ff67f6e109207e
metrics:
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config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics:
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split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics:
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- task:
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split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics:
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- task:
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split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics:
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split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics:
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dataset:
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split: test
revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
metrics:
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- task:
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split: test
revision: b205c5084a0934ce8af14338bf03feb19499c84d
metrics:
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- task:
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split: test
revision: 77f7e271bf4a92b24fce5119f3486b583ca016ff
metrics:
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split: dev
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metrics:
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config: default
split: dev
revision: 8731a845f1bf500a4f111cf1070785c793d10e64
metrics:
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split: validation
revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
metrics:
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- task:
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dataset:
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config: default
split: test
revision: None
metrics:
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- task:
type: Retrieval
dataset:
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split: test
revision: 81bcb408f33366c2a20ac54adafad1ae7e877fdd
metrics:
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split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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dataset:
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split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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dataset:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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dataset:
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type: mteb/tatoeba-bitext-mining
config: tur-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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dataset:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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type: mteb/tatoeba-bitext-mining
config: isl-eng
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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type: mteb/tatoeba-bitext-mining
config: heb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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type: mteb/tatoeba-bitext-mining
config: gla-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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dataset:
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type: mteb/tatoeba-bitext-mining
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split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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type: mteb/tatoeba-bitext-mining
config: lat-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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config: bel-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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- task:
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dataset:
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type: mteb/tatoeba-bitext-mining
config: pms-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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dataset:
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type: mteb/tatoeba-bitext-mining
config: gle-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
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revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 34.36077879427633
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (max-eng)
type: mteb/tatoeba-bitext-mining
config: max-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 52.571845212690285
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (swh-eng)
type: mteb/tatoeba-bitext-mining
config: swh-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 58.13107263107262
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (hin-eng)
type: mteb/tatoeba-bitext-mining
config: hin-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 93.33333333333333
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (dsb-eng)
type: mteb/tatoeba-bitext-mining
config: dsb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 42.87370133925458
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (ber-eng)
type: mteb/tatoeba-bitext-mining
config: ber-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 20.394327616827614
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (tam-eng)
type: mteb/tatoeba-bitext-mining
config: tam-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 84.29967426710098
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (slk-eng)
type: mteb/tatoeba-bitext-mining
config: slk-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 88.80666666666667
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (tgl-eng)
type: mteb/tatoeba-bitext-mining
config: tgl-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 67.23062271062273
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (ast-eng)
type: mteb/tatoeba-bitext-mining
config: ast-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 78.08398950131233
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (mkd-eng)
type: mteb/tatoeba-bitext-mining
config: mkd-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 77.85166666666666
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (khm-eng)
type: mteb/tatoeba-bitext-mining
config: khm-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 67.63004001231148
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (ces-eng)
type: mteb/tatoeba-bitext-mining
config: ces-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 89.77000000000001
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (tzl-eng)
type: mteb/tatoeba-bitext-mining
config: tzl-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 40.2654503616042
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (urd-eng)
type: mteb/tatoeba-bitext-mining
config: urd-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 83.90333333333334
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (ara-eng)
type: mteb/tatoeba-bitext-mining
config: ara-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 77.80666666666666
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (kor-eng)
type: mteb/tatoeba-bitext-mining
config: kor-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 84.08
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (yid-eng)
type: mteb/tatoeba-bitext-mining
config: yid-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 60.43098607367475
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (fin-eng)
type: mteb/tatoeba-bitext-mining
config: fin-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 88.19333333333333
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (tha-eng)
type: mteb/tatoeba-bitext-mining
config: tha-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 90.55352798053529
verified: false
- task:
type: BitextMining
dataset:
name: MTEB Tatoeba (wuu-eng)
type: mteb/tatoeba-bitext-mining
config: wuu-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics:
- type: f1
value: 88.44999999999999
verified: false
- task:
type: Clustering
dataset:
name: MTEB ThuNewsClusteringP2P
type: C-MTEB/ThuNewsClusteringP2P
config: default
split: test
revision: 5798586b105c0434e4f0fe5e767abe619442cf93
metrics:
- type: v_measure
value: 57.25416429643288
verified: false
- task:
type: Clustering
dataset:
name: MTEB ThuNewsClusteringS2S
type: C-MTEB/ThuNewsClusteringS2S
config: default
split: test
revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
metrics:
- type: v_measure
value: 56.616646560243524
verified: false
- task:
type: Retrieval
dataset:
name: MTEB Touche2020
type: mteb/touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics:
- type: ndcg_at_10
value: 22.819
verified: false
- task:
type: Classification
dataset:
name: MTEB ToxicConversationsClassification
type: mteb/toxic_conversations_50k
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics:
- type: accuracy
value: 71.02579999999999
verified: false
- task:
type: Classification
dataset:
name: MTEB TweetSentimentExtractionClassification
type: mteb/tweet_sentiment_extraction
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics:
- type: accuracy
value: 57.60045274476514
verified: false
- task:
type: Clustering
dataset:
name: MTEB TwentyNewsgroupsClustering
type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics:
- type: v_measure
value: 50.346666699466205
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterSemEval2015
type: mteb/twittersemeval2015-pairclassification
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics:
- type: cos_sim_ap
value: 71.88199004440489
verified: false
- task:
type: PairClassification
dataset:
name: MTEB TwitterURLCorpus
type: mteb/twitterurlcorpus-pairclassification
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics:
- type: cos_sim_ap
value: 85.41587779677383
verified: false
- task:
type: Retrieval
dataset:
name: MTEB VideoRetrieval
type: C-MTEB/VideoRetrieval
config: default
split: dev
revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
metrics:
- type: ndcg_at_10
value: 72.792
verified: false
- task:
type: Classification
dataset:
name: MTEB Waimai
type: C-MTEB/waimai-classification
config: default
split: test
revision: 339287def212450dcaa9df8c22bf93e9980c7023
metrics:
- type: accuracy
value: 82.58000000000001
verified: false
- task:
type: Retrieval
dataset:
name: MTEB XPQARetrieval (fr)
type: jinaai/xpqa
config: fr
split: test
revision: c99d599f0a6ab9b85b065da6f9d94f9cf731679f
metrics:
- type: ndcg_at_10
value: 67.327
verified: false | null | 669b774854729d168aeb6207 | Alibaba-NLP/gte-multilingual-base |
comfyanonymous/flux_text_encoders | comfyanonymous | 6af2a98e3f615bdfa612fbd85da93d1ed5f69ef5 | 2024-11-20T19:53:25+00:00 | 2024-08-01T14:07:39Z | false | False | null | 0 | null | 897 | null | null | library-not-detected | null | [
"license:apache-2.0",
"region:us"
] | null | null | 8 | license: apache-2.0 | null | null | null | null | [
".gitattributes",
"README.md",
"clip_l.safetensors",
"t5xxl_fp16.safetensors",
"t5xxl_fp8_e4m3fn.safetensors",
"t5xxl_fp8_e4m3fn_scaled.safetensors"
] | null | null | null | 2024-11-20T19:53:25+00:00 | license: apache-2.0 | null | 66ab96ab48b45330b7ef68a0 | comfyanonymous/flux_text_encoders |
Qwen/Qwen2-VL-7B-Instruct | Qwen | eed13092ef92e448dd6875b2a00151bd3f7db0ac | 2025-02-06T05:18:08+00:00 | 2024-08-28T09:03:13Z | false | False | null | 1,254,591 | null | 1,168 | transformers | null | null | null | [
"transformers",
"safetensors",
"qwen2_vl",
"image-text-to-text",
"multimodal",
"conversational",
"en",
"arxiv:2409.12191",
"arxiv:2308.12966",
"base_model:Qwen/Qwen2-VL-7B",
"base_model:finetune:Qwen/Qwen2-VL-7B",
"license:apache-2.0",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | image-text-to-text | null | 8 | base_model:
- Qwen/Qwen2-VL-7B
language:
- en
library_name: transformers
license: apache-2.0
pipeline_tag: image-text-to-text
tags:
- multimodal
new_version: Qwen/Qwen2.5-VL-7B-Instruct | null | null | null | null | [
".gitattributes",
"LICENSE",
"README.md",
"chat_template.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00005.safetensors",
"model-00002-of-00005.safetensors",
"model-00003-of-00005.safetensors",
"model-00004-of-00005.safetensors",
"model-00005-of-00005.safetensors",
"model.safetensors.index.json",
"preprocessor_config.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | null | null | null | 2025-02-06T05:18:08+00:00 | base_model:
- Qwen/Qwen2-VL-7B
language:
- en
library_name: transformers
license: apache-2.0
pipeline_tag: image-text-to-text
tags:
- multimodal
new_version: Qwen/Qwen2.5-VL-7B-Instruct | null | 66cee7d175a88154443a4056 | Qwen/Qwen2-VL-7B-Instruct |
alvarobartt/ghibli-characters-flux-lora | alvarobartt | ed846114c71efc525e7f5a51e274dc976bb970a8 | 2024-11-19T14:25:56+00:00 | 2024-08-30T16:36:22Z | false | False | null | 742 | null | 48 | diffusers | null | warm | null | [
"diffusers",
"flux",
"text-to-image",
"lora",
"fal",
"endpoints-template",
"dataset:alvarobartt/ghibli-characters",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"endpoints_compatible",
"region:us"
] | text-to-image | null | 8 | base_model: black-forest-labs/FLUX.1-dev
datasets:
- alvarobartt/ghibli-characters
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
pipeline_tag: text-to-image
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
- endpoints-template
instance_prompt: Ghibli style [character description] with [distinctive features],
[action or pose], [environment or background], [lighting or atmosphere], [additional
details]
widget:
- text: Ghibli style futuristic stormtrooper with glossy white armor and a sleek helmet,
standing heroically on a lush alien planet, vibrant flowers blooming around, soft
sunlight illuminating the scene, a gentle breeze rustling the leaves
output:
url: https://huggingface.co/alvarobartt/ghibli-characters-flux-lora/resolve/main/images/x4swNXc6IRKnh-D6DtihE_5f83bc549d1742ab90badc3d4b70d633.jpg
- text: Ghibli style Shrek, a lovable green ogre with a big smile, sitting on a moss-covered
rock while enjoying a plate of freshly picked vegetables, in a magical forest
filled with whimsical creatures, dappled sunlight filtering through the trees,
surrounded by curious fairies peeking out from behind leaves
output:
url: https://huggingface.co/alvarobartt/ghibli-characters-flux-lora/resolve/main/images/7rrcd6pMDfYpF-ogxgG4h_539c7546dae945efb68560befc655eb3.jpg
- text: Ghibli style Albus Dumbledore, a wise old wizard with long silver hair and
a flowing robe, standing in a lush garden filled with colorful magical plants,
gently stroking a phoenix perched on his shoulder, soft morning light filtering
through the trees, surrounded by whimsical creatures curiously observing him
output:
url: https://huggingface.co/alvarobartt/ghibli-characters-flux-lora/resolve/main/images/62SwmyLf8xHJ8uGRBL4Tm_2dad22f9fcd64b859b3c83735b270016.jpg
- text: Ghibli style The Grinch, a mischievous green creature with a sly grin, peeking
out from behind a snow-covered tree while plotting his antics, in a quaint snowy
village decorated for the holidays, warm light glowing from cozy homes, with playful
snowflakes dancing in the air
output:
url: https://huggingface.co/alvarobartt/ghibli-characters-flux-lora/resolve/main/images/U9CD7T-PUXSdQqhOvMnZl_e867ddc5c1e34398b01112999f44eafa.jpg
- text: Ghibli style Santa Claus, a jolly old man with a fluffy white beard and a
red coat, cheerfully preparing gifts in a cozy workshop filled with magical toys,
warm golden light glowing from lanterns, surrounded by adorable elves and whimsical
creatures helping him
output:
url: https://huggingface.co/alvarobartt/ghibli-characters-flux-lora/resolve/main/images/_h_RDKv-7-SSwXTn3RCYw_fc2d6d100b354ac1bf54b5e45c364dd5.jpg
- text: Ghibli style Garfield, a lazy orange cat with a mischievous grin, lounging
on a sunny windowsill while dreaming of lasagna, in a cozy home filled with plants
and colorful decor, warm light streaming in, with a friendly mouse peeking out
from behind a flower pot
output:
url: https://huggingface.co/alvarobartt/ghibli-characters-flux-lora/resolve/main/images/laOMFQjySoeOM9SUc-yDr_958497495bef4224b9f845ba01beb1ec.jpg | null | null | null | null | [
".gitattributes",
"README.md",
"ghibli-characters-flux-lora.safetensors",
"handler.py",
"images/62SwmyLf8xHJ8uGRBL4Tm_2dad22f9fcd64b859b3c83735b270016.jpg",
"images/7rrcd6pMDfYpF-ogxgG4h_539c7546dae945efb68560befc655eb3.jpg",
"images/U9CD7T-PUXSdQqhOvMnZl_e867ddc5c1e34398b01112999f44eafa.jpg",
"images/_h_RDKv-7-SSwXTn3RCYw_fc2d6d100b354ac1bf54b5e45c364dd5.jpg",
"images/laOMFQjySoeOM9SUc-yDr_958497495bef4224b9f845ba01beb1ec.jpg",
"images/x4swNXc6IRKnh-D6DtihE_5f83bc549d1742ab90badc3d4b70d633.jpg"
] | null | null | null | 2024-11-19T14:25:56+00:00 | base_model: black-forest-labs/FLUX.1-dev
datasets:
- alvarobartt/ghibli-characters
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
pipeline_tag: text-to-image
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
- endpoints-template
instance_prompt: Ghibli style [character description] with [distinctive features],
[action or pose], [environment or background], [lighting or atmosphere], [additional
details]
widget:
- text: Ghibli style futuristic stormtrooper with glossy white armor and a sleek helmet,
standing heroically on a lush alien planet, vibrant flowers blooming around, soft
sunlight illuminating the scene, a gentle breeze rustling the leaves
output:
url: https://huggingface.co/alvarobartt/ghibli-characters-flux-lora/resolve/main/images/x4swNXc6IRKnh-D6DtihE_5f83bc549d1742ab90badc3d4b70d633.jpg
- text: Ghibli style Shrek, a lovable green ogre with a big smile, sitting on a moss-covered
rock while enjoying a plate of freshly picked vegetables, in a magical forest
filled with whimsical creatures, dappled sunlight filtering through the trees,
surrounded by curious fairies peeking out from behind leaves
output:
url: https://huggingface.co/alvarobartt/ghibli-characters-flux-lora/resolve/main/images/7rrcd6pMDfYpF-ogxgG4h_539c7546dae945efb68560befc655eb3.jpg
- text: Ghibli style Albus Dumbledore, a wise old wizard with long silver hair and
a flowing robe, standing in a lush garden filled with colorful magical plants,
gently stroking a phoenix perched on his shoulder, soft morning light filtering
through the trees, surrounded by whimsical creatures curiously observing him
output:
url: https://huggingface.co/alvarobartt/ghibli-characters-flux-lora/resolve/main/images/62SwmyLf8xHJ8uGRBL4Tm_2dad22f9fcd64b859b3c83735b270016.jpg
- text: Ghibli style The Grinch, a mischievous green creature with a sly grin, peeking
out from behind a snow-covered tree while plotting his antics, in a quaint snowy
village decorated for the holidays, warm light glowing from cozy homes, with playful
snowflakes dancing in the air
output:
url: https://huggingface.co/alvarobartt/ghibli-characters-flux-lora/resolve/main/images/U9CD7T-PUXSdQqhOvMnZl_e867ddc5c1e34398b01112999f44eafa.jpg
- text: Ghibli style Santa Claus, a jolly old man with a fluffy white beard and a
red coat, cheerfully preparing gifts in a cozy workshop filled with magical toys,
warm golden light glowing from lanterns, surrounded by adorable elves and whimsical
creatures helping him
output:
url: https://huggingface.co/alvarobartt/ghibli-characters-flux-lora/resolve/main/images/_h_RDKv-7-SSwXTn3RCYw_fc2d6d100b354ac1bf54b5e45c364dd5.jpg
- text: Ghibli style Garfield, a lazy orange cat with a mischievous grin, lounging
on a sunny windowsill while dreaming of lasagna, in a cozy home filled with plants
and colorful decor, warm light streaming in, with a friendly mouse peeking out
from behind a flower pot
output:
url: https://huggingface.co/alvarobartt/ghibli-characters-flux-lora/resolve/main/images/laOMFQjySoeOM9SUc-yDr_958497495bef4224b9f845ba01beb1ec.jpg | null | 66d1f506974c5c6902973998 | alvarobartt/ghibli-characters-flux-lora |
kyutai/mimi | kyutai | c0afa378a0ed35d3b176f848d80705fe37ae20a4 | 2024-09-18T14:09:30+00:00 | 2024-09-10T12:38:15Z | false | False | null | 278,383 | null | 173 | transformers | null | cold | null | [
"transformers",
"safetensors",
"mimi",
"feature-extraction",
"audio",
"license:cc-by-4.0",
"endpoints_compatible",
"region:us"
] | feature-extraction | null | 8 | library_name: transformers
license: cc-by-4.0
tags:
- mimi
- audio | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"preprocessor_config.json"
] | null | null | null | 2024-09-18T14:09:30+00:00 | library_name: transformers
license: cc-by-4.0
tags:
- mimi
- audio | null | 66e03db7ec26df895d29dcef | kyutai/mimi |
Qwen/Qwen2.5-0.5B | Qwen | 060db6499f32faf8b98477b0a26969ef7d8b9987 | 2024-09-25T12:32:36+00:00 | 2024-09-15T12:15:39Z | false | False | null | 832,819 | null | 243 | transformers | null | cold | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"conversational",
"en",
"arxiv:2407.10671",
"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 8 | language:
- en
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-0.5B/blob/main/LICENSE
pipeline_tag: text-generation | null | null | null | null | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | null | null | null | 2024-09-25T12:32:36+00:00 | language:
- en
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-0.5B/blob/main/LICENSE
pipeline_tag: text-generation | null | 66e6cfeb6998c3d86c14e163 | Qwen/Qwen2.5-0.5B |
Qwen/Qwen2.5-3B | Qwen | 3aab1f1954e9cc14eb9509a215f9e5ca08227a9b | 2024-09-20T07:58:00+00:00 | 2024-09-15T12:17:03Z | false | False | null | 294,647 | null | 93 | null | null | library-not-detected | null | [
"safetensors",
"qwen2",
"text-generation",
"conversational",
"en",
"arxiv:2407.10671",
"license:other",
"region:us"
] | text-generation | null | 8 | language:
- en
license: other
license_name: qwen-research
license_link: https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE
pipeline_tag: text-generation | null | null | null | null | [
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"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | null | null | null | 2024-09-20T07:58:00+00:00 | language:
- en
license: other
license_name: qwen-research
license_link: https://huggingface.co/Qwen/Qwen2.5-3B/blob/main/LICENSE
pipeline_tag: text-generation | null | 66e6d03f69d1083dd982a18c | Qwen/Qwen2.5-3B |
inflatebot/MN-12B-Mag-Mell-R1 | inflatebot | 170cea841f08b4dc047363cb71e903fc34c3258d | 2024-12-19T07:40:57+00:00 | 2024-09-16T00:38:49Z | false | False | null | 3,789 | null | 142 | transformers | null | not-popular-enough | null | [
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"safetensors",
"mistral",
"text-generation",
"mergekit",
"merge",
"conversational",
"arxiv:2311.03099",
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"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 8 | base_model:
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- nbeerbower/mistral-nemo-bophades-12B
- nbeerbower/mistral-nemo-wissenschaft-12B
- elinas/Chronos-Gold-12B-1.0
- Fizzarolli/MN-12b-Sunrose
- nbeerbower/mistral-nemo-gutenberg-12B-v4
- anthracite-org/magnum-12b-v2.5-kto
library_name: transformers
tags:
- mergekit
- merge | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"magmell.png",
"mergekit_config.yml",
"model-00001-of-00005.safetensors",
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"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | null | null | null | 2024-12-19T07:40:57+00:00 | base_model:
- IntervitensInc/Mistral-Nemo-Base-2407-chatml
- nbeerbower/mistral-nemo-bophades-12B
- nbeerbower/mistral-nemo-wissenschaft-12B
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- anthracite-org/magnum-12b-v2.5-kto
library_name: transformers
tags:
- mergekit
- merge | null | 66e77e198aa82e56feb0bfef | inflatebot/MN-12B-Mag-Mell-R1 |
Qwen/Qwen2.5-1.5B-Instruct | Qwen | 989aa7980e4cf806f80c7fef2b1adb7bc71aa306 | 2024-09-25T12:32:50+00:00 | 2024-09-17T14:10:29Z | false | False | null | 1,026,930 | null | 382 | transformers | null | null | null | [
"transformers",
"safetensors",
"qwen2",
"text-generation",
"chat",
"conversational",
"en",
"arxiv:2407.10671",
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"license:apache-2.0",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 8 | base_model: Qwen/Qwen2.5-1.5B
language:
- en
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct/blob/main/LICENSE
pipeline_tag: text-generation
tags:
- chat | null | null | null | null | [
".gitattributes",
"LICENSE",
"README.md",
"config.json",
"generation_config.json",
"merges.txt",
"model.safetensors",
"tokenizer.json",
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"vocab.json"
] | null | null | null | 2024-09-25T12:32:50+00:00 | base_model: Qwen/Qwen2.5-1.5B
language:
- en
library_name: transformers
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct/blob/main/LICENSE
pipeline_tag: text-generation
tags:
- chat | null | 66e98dd5899bdb384bd953b4 | Qwen/Qwen2.5-1.5B-Instruct |
lldacing/flash-attention-windows-wheel | lldacing | 705d5844993d4bdf4f26ba66e4ca94101cc36ebf | 2025-02-06T08:13:12+00:00 | 2024-11-15T08:37:33Z | false | False | null | 0 | null | 71 | null | null | library-not-detected | null | [
"license:bsd-3-clause",
"region:us"
] | null | null | 8 | license: bsd-3-clause | null | null | null | null | [
".gitattributes",
"README.md",
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] | null | null | null | 2025-02-06T08:13:12+00:00 | license: bsd-3-clause | null | 6737084d4bca9c453d211ce5 | lldacing/flash-attention-windows-wheel |
strangerzonehf/Flux-Midjourney-Mix2-LoRA | strangerzonehf | 6b6aaf586f83fd2093519fb62015a771c7aff240 | 2025-03-17T12:29:50+00:00 | 2024-11-26T15:58:30Z | false | False | null | 30,791 | null | 458 | diffusers | null | null | null | [
"diffusers",
"text-to-image",
"lora",
"template:diffusion-lora",
"base_model:black-forest-labs/FLUX.1-dev",
"base_model:adapter:black-forest-labs/FLUX.1-dev",
"license:other",
"region:us"
] | text-to-image | null | 8 | base_model: black-forest-labs/FLUX.1-dev
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: MJ v6, Portrait photography of a woman in a red dress, in the style of unsplash
photography, street photography, dark green background --ar 47:64 --v 6.0 --style
raw
output:
url: https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/1.png
- text: 'MJ v6, A portrait of a Bird in the dark, illuminated by an intense yellow
light from above, with a soft blue gradient background. This scene evokes a sense
of mystery or contemplation, highlighting the beauty of the subjects features
against the contrasting backdrop, lens glossy effect, high contrast, star bokeh '
output:
url: https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/2.png
- text: MJ v6, A photo of an attractive man in his thirties, wearing a black coat
and yellow scarf with a brown pattern inside a building talking on a phone standing
near a modern glass skyscraper in London, shot from below looking up at him in
the style of street photography, cinematic. --ar 85:128 --v 6.0 --style raw
output:
url: https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/3.png
- text: 'MJ v6, banana bread with chocolate chips and pecans, in the style of tabletop
photography, y2k aesthetic, spiky mounds, flawless line work, schlieren photography,
8k, natural fibers, minimal --ar 123:185 --v 5 '
output:
url: https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/4.png
- text: 'MJ v6, A portrait of Woman, fashion photography, big shapes in the background,
on top of colorful squares with stars, in the style of retro vintage photography,
pastel colors, soft purple and yellow '
output:
url: https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/6.png
- text: MJ v6, delicious dipped chocolate pastry japo gallery, white background, in
the style of dark brown, close-up intensity, duckcore, rounded, high resolution
--ar 2:3 --v 5
output:
url: https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/5.png
instance_prompt: MJ v6 | null | null | null | null | [
".gitattributes",
"README.md",
"images/1.png",
"images/2.png",
"images/3.png",
"images/4.png",
"images/5.png",
"images/6.png",
"images/mjv6.png",
"mjV6.safetensors"
] | null | null | null | 2025-03-17T12:29:50+00:00 | base_model: black-forest-labs/FLUX.1-dev
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- text: MJ v6, Portrait photography of a woman in a red dress, in the style of unsplash
photography, street photography, dark green background --ar 47:64 --v 6.0 --style
raw
output:
url: https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/1.png
- text: 'MJ v6, A portrait of a Bird in the dark, illuminated by an intense yellow
light from above, with a soft blue gradient background. This scene evokes a sense
of mystery or contemplation, highlighting the beauty of the subjects features
against the contrasting backdrop, lens glossy effect, high contrast, star bokeh '
output:
url: https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/2.png
- text: MJ v6, A photo of an attractive man in his thirties, wearing a black coat
and yellow scarf with a brown pattern inside a building talking on a phone standing
near a modern glass skyscraper in London, shot from below looking up at him in
the style of street photography, cinematic. --ar 85:128 --v 6.0 --style raw
output:
url: https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/3.png
- text: 'MJ v6, banana bread with chocolate chips and pecans, in the style of tabletop
photography, y2k aesthetic, spiky mounds, flawless line work, schlieren photography,
8k, natural fibers, minimal --ar 123:185 --v 5 '
output:
url: https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/4.png
- text: 'MJ v6, A portrait of Woman, fashion photography, big shapes in the background,
on top of colorful squares with stars, in the style of retro vintage photography,
pastel colors, soft purple and yellow '
output:
url: https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/6.png
- text: MJ v6, delicious dipped chocolate pastry japo gallery, white background, in
the style of dark brown, close-up intensity, duckcore, rounded, high resolution
--ar 2:3 --v 5
output:
url: https://huggingface.co/strangerzonehf/Flux-Midjourney-Mix2-LoRA/resolve/main/images/5.png
instance_prompt: MJ v6 | null | 6745f026cc4caa5db9508d0e | strangerzonehf/Flux-Midjourney-Mix2-LoRA |
Kijai/HunyuanVideo_comfy | Kijai | 45d77674bb85f95f6dba006452b90056fb40ded1 | 2025-03-27T10:34:39+00:00 | 2024-12-03T16:19:27Z | false | False | null | 331,970 | null | 373 | null | null | null | null | [
"gguf",
"license:other",
"region:us"
] | null | null | 8 | license: other
license_name: tencent-hunyuan-community
license_link: LICENSE | null | null | null | null | [
".gitattributes",
"HunyuanI2V_basic_native_workflow_example.json",
"HunyuanVideo_dashtoon_keyframe_lora_converted_bf16.safetensors",
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"hyvid_dashtoon_keyframe_native_example_01.json",
"hyvideo_FastVideo_LoRA-fp8.safetensors"
] | null | null | null | 2025-03-27T10:34:39+00:00 | license: other
license_name: tencent-hunyuan-community
license_link: LICENSE | null | 674f2f8f51a64ee560f8ae65 | Kijai/HunyuanVideo_comfy |
tabularisai/multilingual-sentiment-analysis | tabularisai | 0b38380e32bc7c649d021c6763909013b0fdb29e | 2025-01-16T08:15:24+00:00 | 2024-12-07T17:56:18Z | false | False | null | 293,058 | null | 108 | transformers | null | cold | null | [
"transformers",
"safetensors",
"distilbert",
"text-classification",
"sentiment-analysis",
"sentiment",
"synthetic data",
"multi-class",
"social-media-analysis",
"customer-feedback",
"product-reviews",
"brand-monitoring",
"multilingual",
"en",
"zh",
"es",
"hi",
"ar",
"bn",
"pt",
"ru",
"ja",
"de",
"ms",
"te",
"vi",
"ko",
"fr",
"tr",
"it",
"pl",
"uk",
"tl",
"nl",
"gsw",
"base_model:distilbert/distilbert-base-multilingual-cased",
"base_model:finetune:distilbert/distilbert-base-multilingual-cased",
"license:cc-by-nc-4.0",
"autotrain_compatible",
"endpoints_compatible",
"region:us"
] | text-classification | null | 8 | base_model: distilbert/distilbert-base-multilingual-cased
language:
- en
- zh
- es
- hi
- ar
- bn
- pt
- ru
- ja
- de
- ms
- te
- vi
- ko
- fr
- tr
- it
- pl
- uk
- tl
- nl
- gsw
library_name: transformers
license: cc-by-nc-4.0
pipeline_tag: text-classification
tags:
- text-classification
- sentiment-analysis
- sentiment
- synthetic data
- multi-class
- social-media-analysis
- customer-feedback
- product-reviews
- brand-monitoring
- multilingual | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"model.safetensors",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.txt"
] | null | null | null | 2025-01-16T08:15:24+00:00 | base_model: distilbert/distilbert-base-multilingual-cased
language:
- en
- zh
- es
- hi
- ar
- bn
- pt
- ru
- ja
- de
- ms
- te
- vi
- ko
- fr
- tr
- it
- pl
- uk
- tl
- nl
- gsw
library_name: transformers
license: cc-by-nc-4.0
pipeline_tag: text-classification
tags:
- text-classification
- sentiment-analysis
- sentiment
- synthetic data
- multi-class
- social-media-analysis
- customer-feedback
- product-reviews
- brand-monitoring
- multilingual | null | 67548c423cc32b93ce51b9a3 | tabularisai/multilingual-sentiment-analysis |
cagliostrolab/animagine-xl-4.0 | cagliostrolab | 2b7c1b397761bf5bd3cc42e5b39ec99314a75a96 | 2025-02-13T16:16:46+00:00 | 2025-01-10T17:51:13Z | false | False | null | 64,635 | null | 240 | diffusers | null | null | null | [
"diffusers",
"safetensors",
"text-to-image",
"stable-diffusion",
"stable-diffusion-xl",
"en",
"base_model:stabilityai/stable-diffusion-xl-base-1.0",
"base_model:finetune:stabilityai/stable-diffusion-xl-base-1.0",
"license:openrail++",
"autotrain_compatible",
"endpoints_compatible",
"diffusers:StableDiffusionXLPipeline",
"region:us"
] | text-to-image | null | 8 | base_model:
- stabilityai/stable-diffusion-xl-base-1.0
language:
- en
license: openrail++
tags:
- text-to-image
- stable-diffusion
- safetensors
- stable-diffusion-xl
widget:
- text: 1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors,
night, turtleneck, masterpiece, high score, great score, absurdres
parameter:
negative_prompt: lowres, bad anatomy, bad hands, text, error, missing fingers,
extra digit, fewer digits, cropped, worst quality, low quality, low score, bad
score, average score, signature, watermark, username, blurry
example_title: 1girl
- text: 1boy, male focus, green hair, sweater, looking at viewer, upper body, beanie,
outdoors, night, turtleneck, masterpiece, high score, great score, absurdres
parameter:
negative_prompt: lowres, bad anatomy, bad hands, text, error, missing fingers,
extra digit, fewer digits, cropped, worst quality, low quality, low score, bad
score, average score, signature, watermark, username, blurry
example_title: 1boy | null | null | null | null | [
".gitattributes",
"README.md",
"animagine-xl-4.0-opt.safetensors",
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"vae/diffusion_pytorch_model.safetensors"
] | null | null | null | 2025-02-13T16:16:46+00:00 | base_model:
- stabilityai/stable-diffusion-xl-base-1.0
language:
- en
license: openrail++
tags:
- text-to-image
- stable-diffusion
- safetensors
- stable-diffusion-xl
widget:
- text: 1girl, green hair, sweater, looking at viewer, upper body, beanie, outdoors,
night, turtleneck, masterpiece, high score, great score, absurdres
parameter:
negative_prompt: lowres, bad anatomy, bad hands, text, error, missing fingers,
extra digit, fewer digits, cropped, worst quality, low quality, low score, bad
score, average score, signature, watermark, username, blurry
example_title: 1girl
- text: 1boy, male focus, green hair, sweater, looking at viewer, upper body, beanie,
outdoors, night, turtleneck, masterpiece, high score, great score, absurdres
parameter:
negative_prompt: lowres, bad anatomy, bad hands, text, error, missing fingers,
extra digit, fewer digits, cropped, worst quality, low quality, low score, bad
score, average score, signature, watermark, username, blurry
example_title: 1boy | null | 67815e116550f5a48bfde7ae | cagliostrolab/animagine-xl-4.0 |
Alpha-VLLM/Lumina-Image-2.0 | Alpha-VLLM | 53504abd8178b30685b6c4c7a4cd181ff78b73e9 | 2025-03-30T08:01:45+00:00 | 2025-01-22T08:12:09Z | false | False | null | 15,021 | null | 292 | diffusers | null | null | null | [
"diffusers",
"safetensors",
"text-to-image",
"arxiv:2503.21758",
"license:apache-2.0",
"diffusers:Lumina2Pipeline",
"region:us"
] | text-to-image | null | 8 | library_name: diffusers
license: apache-2.0
pipeline_tag: text-to-image | null | null | null | null | [
".gitattributes",
"Demo.png",
"README.md",
"consolidated.00-of-01.pth",
"model_args.pth",
"model_index.json",
"scheduler/scheduler_config.json",
"text_encoder/config.json",
"text_encoder/model-00001-of-00003.safetensors",
"text_encoder/model-00002-of-00003.safetensors",
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"tokenizer/special_tokens_map.json",
"tokenizer/tokenizer.json",
"tokenizer/tokenizer.model",
"tokenizer/tokenizer_config.json",
"transformer/config.json",
"transformer/diffusion_pytorch_model-00001-of-00002.safetensors",
"transformer/diffusion_pytorch_model-00002-of-00002.safetensors",
"transformer/diffusion_pytorch_model.safetensors.index.json",
"vae/config.json",
"vae/diffusion_pytorch_model.safetensors"
] | null | null | null | 2025-03-30T08:01:45+00:00 | library_name: diffusers
license: apache-2.0
pipeline_tag: text-to-image | null | 6790a859dea6a4180238cdba | Alpha-VLLM/Lumina-Image-2.0 |
cognitivecomputations/Dolphin3.0-R1-Mistral-24B | cognitivecomputations | 2ac46c7f7b8a25946acfd4673d52bf0557770abe | 2025-02-15T17:59:02+00:00 | 2025-02-06T21:56:47Z | false | False | null | 5,121 | null | 175 | transformers | null | null | null | [
"transformers",
"safetensors",
"mistral",
"text-generation",
"conversational",
"en",
"dataset:cognitivecomputations/dolphin-r1",
"dataset:OpenCoder-LLM/opc-sft-stage1",
"dataset:OpenCoder-LLM/opc-sft-stage2",
"dataset:microsoft/orca-agentinstruct-1M-v1",
"dataset:microsoft/orca-math-word-problems-200k",
"dataset:NousResearch/hermes-function-calling-v1",
"dataset:AI-MO/NuminaMath-CoT",
"dataset:AI-MO/NuminaMath-TIR",
"dataset:allenai/tulu-3-sft-mixture",
"dataset:cognitivecomputations/dolphin-coder",
"dataset:HuggingFaceTB/smoltalk",
"dataset:cognitivecomputations/samantha-data",
"dataset:m-a-p/CodeFeedback-Filtered-Instruction",
"dataset:m-a-p/Code-Feedback",
"base_model:mistralai/Mistral-Small-24B-Base-2501",
"base_model:finetune:mistralai/Mistral-Small-24B-Base-2501",
"autotrain_compatible",
"text-generation-inference",
"endpoints_compatible",
"region:us"
] | text-generation | null | 8 | base_model:
- mistralai/Mistral-Small-24B-Base-2501
datasets:
- cognitivecomputations/dolphin-r1
- OpenCoder-LLM/opc-sft-stage1
- OpenCoder-LLM/opc-sft-stage2
- microsoft/orca-agentinstruct-1M-v1
- microsoft/orca-math-word-problems-200k
- NousResearch/hermes-function-calling-v1
- AI-MO/NuminaMath-CoT
- AI-MO/NuminaMath-TIR
- allenai/tulu-3-sft-mixture
- cognitivecomputations/dolphin-coder
- HuggingFaceTB/smoltalk
- cognitivecomputations/samantha-data
- m-a-p/CodeFeedback-Filtered-Instruction
- m-a-p/Code-Feedback
language:
- en
library_name: transformers
pipeline_tag: text-generation | null | null | null | null | [
".gitattributes",
"Modelfile",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00010.safetensors",
"model-00002-of-00010.safetensors",
"model-00003-of-00010.safetensors",
"model-00004-of-00010.safetensors",
"model-00005-of-00010.safetensors",
"model-00006-of-00010.safetensors",
"model-00007-of-00010.safetensors",
"model-00008-of-00010.safetensors",
"model-00009-of-00010.safetensors",
"model-00010-of-00010.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"trainer_state.json"
] | null | null | null | 2025-02-15T17:59:02+00:00 | base_model:
- mistralai/Mistral-Small-24B-Base-2501
datasets:
- cognitivecomputations/dolphin-r1
- OpenCoder-LLM/opc-sft-stage1
- OpenCoder-LLM/opc-sft-stage2
- microsoft/orca-agentinstruct-1M-v1
- microsoft/orca-math-word-problems-200k
- NousResearch/hermes-function-calling-v1
- AI-MO/NuminaMath-CoT
- AI-MO/NuminaMath-TIR
- allenai/tulu-3-sft-mixture
- cognitivecomputations/dolphin-coder
- HuggingFaceTB/smoltalk
- cognitivecomputations/samantha-data
- m-a-p/CodeFeedback-Filtered-Instruction
- m-a-p/Code-Feedback
language:
- en
library_name: transformers
pipeline_tag: text-generation | null | 67a5301f1aab7a2b6038b1df | cognitivecomputations/Dolphin3.0-R1-Mistral-24B |
ValueFX9507/Tifa-DeepsexV2-7b-MGRPO-GGUF-Q8 | ValueFX9507 | 3c4152bc89b32195ba7ccc9b6ececd479ab603ed | 2025-03-28T18:40:15+00:00 | 2025-02-15T13:30:54Z | false | False | null | 144,410 | null | 131 | transformers | null | null | null | [
"transformers",
"gguf",
"incremental-pretraining",
"sft",
"reinforcement-learning",
"roleplay",
"cot",
"zh",
"en",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
] | reinforcement-learning | null | 8 | base_model:
- qwen/qwen7b
language:
- zh
- en
library_name: transformers
license: apache-2.0
tags:
- incremental-pretraining
- sft
- reinforcement-learning
- roleplay
- cot | null | null | null | null | [
".gitattributes",
"README.md",
"Tifa-DeepsexV2-7b-0218-Q8.gguf",
"Tifa-DeepsexV2-7b-Cot-0222-Q8.gguf",
"Tifa-DeepsexV2-7b-Cot-0301-Q8.gguf",
"Tifa-DeepsexV2-7b-NoCot-0222-Q8.gguf",
"Tifa-DeepsexV2-7b-NoCot-0228-Q8.gguf",
"Tifa-DeepsexV2-7b-NoCot-0325-Q8.gguf",
"Tifa-DeepsexV2-7b-Q8.gguf"
] | null | null | null | 2025-03-28T18:40:15+00:00 | base_model:
- qwen/qwen7b
language:
- zh
- en
library_name: transformers
license: apache-2.0
tags:
- incremental-pretraining
- sft
- reinforcement-learning
- roleplay
- cot | null | 67b0970ed6e6e0b31fd5f634 | ValueFX9507/Tifa-DeepsexV2-7b-MGRPO-GGUF-Q8 |
Wan-AI/Wan2.1-I2V-14B-480P | Wan-AI | 6b73f84e66371cdfe870c72acd6826e1d61cf279 | 2025-02-26T14:34:56+00:00 | 2025-02-25T07:56:55Z | false | False | null | 82,479 | null | 130 | diffusers | null | null | null | [
"diffusers",
"safetensors",
"i2v",
"video",
"video-generation",
"image-to-video",
"en",
"zh",
"license:apache-2.0",
"region:us"
] | image-to-video | null | 8 | language:
- en
- zh
library_name: diffusers
license: apache-2.0
pipeline_tag: image-to-video
tags:
- video
- video-generation | null | null | null | null | [
".gitattributes",
"LICENSE.txt",
"README.md",
"Wan2.1_VAE.pth",
"assets/comp_effic.png",
"assets/data_for_diff_stage.jpg",
"assets/i2v_res.png",
"assets/logo.png",
"assets/t2v_res.jpg",
"assets/vben_1.3b_vs_sota.png",
"assets/vben_vs_sota.png",
"assets/video_dit_arch.jpg",
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"diffusion_pytorch_model-00004-of-00007.safetensors",
"diffusion_pytorch_model-00005-of-00007.safetensors",
"diffusion_pytorch_model-00006-of-00007.safetensors",
"diffusion_pytorch_model-00007-of-00007.safetensors",
"diffusion_pytorch_model.safetensors.index.json",
"examples/i2v_input.JPG",
"google/umt5-xxl/special_tokens_map.json",
"google/umt5-xxl/spiece.model",
"google/umt5-xxl/tokenizer.json",
"google/umt5-xxl/tokenizer_config.json",
"models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth",
"models_t5_umt5-xxl-enc-bf16.pth",
"xlm-roberta-large/sentencepiece.bpe.model",
"xlm-roberta-large/special_tokens_map.json",
"xlm-roberta-large/tokenizer.json",
"xlm-roberta-large/tokenizer_config.json"
] | null | null | null | 2025-02-26T14:34:56+00:00 | language:
- en
- zh
library_name: diffusers
license: apache-2.0
pipeline_tag: image-to-video
tags:
- video
- video-generation | null | 67bd77c7d055a27740c46922 | Wan-AI/Wan2.1-I2V-14B-480P |
BlinkDL/rwkv7-g1 | BlinkDL | ddfce81e5306932dcd3bbdae2e630cf08ecac7d6 | 2025-03-24T16:00:48+00:00 | 2025-03-07T17:05:50Z | false | False | null | 0 | null | 70 | null | null | null | null | [
"pytorch",
"text-generation",
"causal-lm",
"rwkv",
"en",
"zh",
"fr",
"es",
"de",
"pt",
"ru",
"it",
"ja",
"ko",
"vi",
"ar",
"dataset:HuggingFaceFW/fineweb-edu",
"dataset:mlfoundations/dclm-baseline-1.0",
"dataset:cerebras/SlimPajama-627B",
"dataset:EleutherAI/pile",
"dataset:bigcode/starcoderdata",
"dataset:oscar-corpus/OSCAR-2301",
"license:apache-2.0",
"region:us"
] | text-generation | null | 8 | datasets:
- HuggingFaceFW/fineweb-edu
- mlfoundations/dclm-baseline-1.0
- cerebras/SlimPajama-627B
- EleutherAI/pile
- bigcode/starcoderdata
- oscar-corpus/OSCAR-2301
language:
- en
- zh
- fr
- es
- de
- pt
- ru
- it
- ja
- ko
- vi
- ar
license: apache-2.0
tags:
- pytorch
- text-generation
- causal-lm
- rwkv | null | null | null | null | [
".gitattributes",
"README.md",
"rwkv7-g1-0.1b-20250307-ctx4096.pth",
"rwkv7-g1-0.4b-20250324-ctx4096.pth"
] | null | null | null | 2025-03-24T16:00:48+00:00 | datasets:
- HuggingFaceFW/fineweb-edu
- mlfoundations/dclm-baseline-1.0
- cerebras/SlimPajama-627B
- EleutherAI/pile
- bigcode/starcoderdata
- oscar-corpus/OSCAR-2301
language:
- en
- zh
- fr
- es
- de
- pt
- ru
- it
- ja
- ko
- vi
- ar
license: apache-2.0
tags:
- pytorch
- text-generation
- causal-lm
- rwkv | null | 67cb276e5432f525e8478cd5 | BlinkDL/rwkv7-g1 |
bartowski/huihui-ai_QwQ-32B-abliterated-GGUF | bartowski | 7086e7f19ce31617f6ed21f452ef28c270576576 | 2025-03-07T23:10:47+00:00 | 2025-03-07T21:07:53Z | false | False | null | 89,365 | null | 32 | null | null | null | null | [
"gguf",
"chat",
"abliterated",
"uncensored",
"text-generation",
"en",
"base_model:huihui-ai/QwQ-32B-abliterated",
"base_model:quantized:huihui-ai/QwQ-32B-abliterated",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
] | text-generation | null | 8 | base_model: huihui-ai/QwQ-32B-abliterated
language:
- en
license: apache-2.0
license_link: https://huggingface.co/huihui-ai/QwQ-32B-abliterated/blob/main/LICENSE
pipeline_tag: text-generation
tags:
- chat
- abliterated
- uncensored
quantized_by: bartowski | null | null | null | null | [
".gitattributes",
"README.md",
"huihui-ai_QwQ-32B-abliterated-IQ2_M.gguf",
"huihui-ai_QwQ-32B-abliterated-IQ2_S.gguf",
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"huihui-ai_QwQ-32B-abliterated-Q5_K_S.gguf",
"huihui-ai_QwQ-32B-abliterated-Q6_K.gguf",
"huihui-ai_QwQ-32B-abliterated-Q6_K_L.gguf",
"huihui-ai_QwQ-32B-abliterated-Q8_0.gguf",
"huihui-ai_QwQ-32B-abliterated.imatrix"
] | null | null | null | 2025-03-07T23:10:47+00:00 | base_model: huihui-ai/QwQ-32B-abliterated
language:
- en
license: apache-2.0
license_link: https://huggingface.co/huihui-ai/QwQ-32B-abliterated/blob/main/LICENSE
pipeline_tag: text-generation
tags:
- chat
- abliterated
- uncensored
quantized_by: bartowski | null | 67cb6029446a95e81dd8723a | bartowski/huihui-ai_QwQ-32B-abliterated-GGUF |
inclusionAI/Ling-Coder-lite | inclusionAI | d969d4853d1872375b6708459d585a6ffd33d601 | 2025-03-27T12:25:41+00:00 | 2025-03-08T01:47:51Z | false | False | null | 177 | null | 9 | transformers | null | null | null | [
"transformers",
"safetensors",
"bailing_moe",
"text-generation",
"code",
"moe",
"conversational",
"custom_code",
"en",
"zh",
"dataset:inclusionAI/Ling-Coder-SFT",
"dataset:inclusionAI/Ling-Coder-SyntheticQA",
"dataset:inclusionAI/Ling-Coder-DPO",
"arxiv:2503.17793",
"base_model:inclusionAI/Ling-Coder-lite-base",
"base_model:finetune:inclusionAI/Ling-Coder-lite-base",
"license:mit",
"autotrain_compatible",
"region:us"
] | text-generation | null | 8 | base_model:
- inclusionAI/Ling-Coder-lite-base
datasets:
- inclusionAI/Ling-Coder-SFT
- inclusionAI/Ling-Coder-SyntheticQA
- inclusionAI/Ling-Coder-DPO
language:
- en
- zh
library_name: transformers
license: mit
pipeline_tag: text-generation
tags:
- code
- moe | null | null | null | null | [
".gitattributes",
"LICENCE",
"README.md",
"config.json",
"configuration.json",
"configuration_bailing_moe.py",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"modeling_bailing_moe.py",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | null | null | null | 2025-03-27T12:25:41+00:00 | base_model:
- inclusionAI/Ling-Coder-lite-base
datasets:
- inclusionAI/Ling-Coder-SFT
- inclusionAI/Ling-Coder-SyntheticQA
- inclusionAI/Ling-Coder-DPO
language:
- en
- zh
library_name: transformers
license: mit
pipeline_tag: text-generation
tags:
- code
- moe | null | 67cba1c7183d9ebcba4bbfe9 | inclusionAI/Ling-Coder-lite |
Team-ACE/ToolACE-2-Llama-3.1-8B | Team-ACE | 4a280b1192c09b1d552f88bc491743ecfa1eadf1 | 2025-03-27T06:56:38+00:00 | 2025-03-12T17:06:17Z | false | False | null | 322 | null | 10 | null | null | null | null | [
"safetensors",
"llama",
"code",
"en",
"dataset:Team-ACE/ToolACE",
"arxiv:2409.00920",
"base_model:meta-llama/Llama-3.1-8B-Instruct",
"base_model:finetune:meta-llama/Llama-3.1-8B-Instruct",
"license:apache-2.0",
"region:us"
] | null | null | 8 | base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- Team-ACE/ToolACE
language:
- en
license: apache-2.0
metrics:
- accuracy
tags:
- code | null | null | null | null | [
".gitattributes",
"README.md",
"config.json",
"generation_config.json",
"model-00001-of-00004.safetensors",
"model-00002-of-00004.safetensors",
"model-00003-of-00004.safetensors",
"model-00004-of-00004.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json"
] | null | null | null | 2025-03-27T06:56:38+00:00 | base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
datasets:
- Team-ACE/ToolACE
language:
- en
license: apache-2.0
metrics:
- accuracy
tags:
- code | null | 67d1bf09058aed802f98833e | Team-ACE/ToolACE-2-Llama-3.1-8B |
AIWarper/WarpTuber | AIWarper | 929ffa03bd2c422b7790448efd565f6a286b176d | 2025-03-17T19:29:45+00:00 | 2025-03-15T01:25:23Z | false | False | null | 0 | null | 76 | null | null | null | null | [
"region:us"
] | null | null | 8 | null | null | null | null | null | [
".gitattributes",
"README.md",
"WarpTuber.7z"
] | null | null | null | 2025-03-17T19:29:45+00:00 | null | null | 67d4d703fa315a2e04cc753d | AIWarper/WarpTuber |
webbigdata/FanFic-Illustrator | webbigdata | 5ff37b77f497ae791cd7bbce9d7f9bceb599aaa2 | 2025-03-24T17:21:09+00:00 | 2025-03-20T09:01:24Z | false | False | null | 119 | null | 8 | null | null | null | null | [
"safetensors",
"qwen2",
"ja",
"en",
"zh",
"arxiv:2402.03300",
"license:apache-2.0",
"region:us"
] | null | null | 8 | language:
- ja
- en
- zh
license: apache-2.0 | null | null | null | null | [
".gitattributes",
"README.md",
"added_tokens.json",
"config.json",
"generation_config.json",
"merges.txt",
"model-00001-of-00002.safetensors",
"model-00002-of-00002.safetensors",
"model.safetensors.index.json",
"special_tokens_map.json",
"tokenizer.json",
"tokenizer_config.json",
"vocab.json"
] | null | null | null | 2025-03-24T17:21:09+00:00 | language:
- ja
- en
- zh
license: apache-2.0 | null | 67dbd964e67f81bed999a8c0 | webbigdata/FanFic-Illustrator |
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