Improve language tag
Browse filesHi! As the model is multilingual, this is a PR to add other languages than English to the language tag to improve the referencing. Note that 29 languages are announced in the README, but only 13 are explicitly listed. I was therefore only able to add these 13 languages.
README.md
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---
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library_name: transformers
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license: mit
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datasets:
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- ethicalabs/Kurtis-E1-SFT
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language:
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###
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```
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lm_eval --model hf --model_args pretrained=ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct --tasks
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```
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---
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library_name: transformers
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license: mit
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datasets:
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- ethicalabs/Kurtis-E1-SFT
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language:
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- zho
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- eng
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- fra
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- spa
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- por
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- deu
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- ita
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- rus
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- jpn
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- kor
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- vie
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- tha
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- ara
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base_model:
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- Qwen/Qwen2.5-3B-Instruct
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pipeline_tag: text-generation
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---
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# Model Card for Kurtis-E1.1-Qwen2.5-3B-Instruct
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Kurtis E1.1 fine-tuned with [flower](https://flower.ai/)
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## Eval Results
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Evaluation tasks were performed with the [LM Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) on an NVIDIA A40.
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### hellaswag
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```
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lm_eval --model hf --model_args pretrained=ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct --tasks hellaswag --device cuda:0 --batch_size 8
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```
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| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
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|---------|------:|------|-----:|--------|---|-----:|---|-----:|
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|hellaswag| 1|none | 0|acc |↑ |0.5555|± |0.0050|
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| | |none | 0|acc_norm|↑ |0.7412|± |0.0044|
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### arc_easy
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```
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lm_eval --model hf --model_args pretrained=ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct --tasks arc_easy --device cuda:0 --batch_size 8
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```
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| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
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|--------|------:|------|-----:|--------|---|-----:|---|-----:|
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|arc_easy| 1|none | 0|acc |↑ |0.7710|± |0.0086|
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| | |none | 0|acc_norm|↑ |0.6789|± |0.0096|
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### arc_challenge
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```
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lm_eval --model hf --model_args pretrained=ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct --tasks arc_challenge --device cuda:0 --batch_size 8
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```
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| Tasks |Version|Filter|n-shot| Metric | |Value| |Stderr|
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|-------------|------:|------|-----:|--------|---|----:|---|-----:|
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|arc_challenge| 1|none | 0|acc |↑ |0.436|± |0.0145|
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| | |none | 0|acc_norm|↑ |0.448|± |0.0145|
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### mmlu
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```
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lm_eval --model hf --model_args pretrained=ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct --tasks mmlu --device cuda:0 --batch_size 8
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```
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| Tasks |Version|Filter|n-shot|Metric| |Value | |Stderr|
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|---------------------------------------|------:|------|-----:|------|---|-----:|---|-----:|
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|mmlu | 2|none | |acc |↑ |0.6522|± |0.0038|
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| - humanities | 2|none | |acc |↑ |0.5734|± |0.0066|
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| - formal_logic | 1|none | 0|acc |↑ |0.4603|± |0.0446|
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| - high_school_european_history | 1|none | 0|acc |↑ |0.7939|± |0.0316|
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| - high_school_us_history | 1|none | 0|acc |↑ |0.8333|± |0.0262|
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| - high_school_world_history | 1|none | 0|acc |↑ |0.8397|± |0.0239|
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| - international_law | 1|none | 0|acc |↑ |0.7769|± |0.0380|
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| - jurisprudence | 1|none | 0|acc |↑ |0.7963|± |0.0389|
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| - logical_fallacies | 1|none | 0|acc |↑ |0.7975|± |0.0316|
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| - moral_disputes | 1|none | 0|acc |↑ |0.6850|± |0.0250|
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| - moral_scenarios | 1|none | 0|acc |↑ |0.2905|± |0.0152|
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| - philosophy | 1|none | 0|acc |↑ |0.7106|± |0.0258|
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| - prehistory | 1|none | 0|acc |↑ |0.7438|± |0.0243|
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| - professional_law | 1|none | 0|acc |↑ |0.4759|± |0.0128|
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| - world_religions | 1|none | 0|acc |↑ |0.8246|± |0.0292|
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| - other | 2|none | |acc |↑ |0.7087|± |0.0079|
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| - business_ethics | 1|none | 0|acc |↑ |0.7300|± |0.0446|
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| - clinical_knowledge | 1|none | 0|acc |↑ |0.7321|± |0.0273|
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| - college_medicine | 1|none | 0|acc |↑ |0.6705|± |0.0358|
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| - global_facts | 1|none | 0|acc |↑ |0.3900|± |0.0490|
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| - human_aging | 1|none | 0|acc |↑ |0.7130|± |0.0304|
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| - management | 1|none | 0|acc |↑ |0.7961|± |0.0399|
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| - marketing | 1|none | 0|acc |↑ |0.8803|± |0.0213|
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| - medical_genetics | 1|none | 0|acc |↑ |0.7600|± |0.0429|
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| - miscellaneous | 1|none | 0|acc |↑ |0.7957|± |0.0144|
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| - nutrition | 1|none | 0|acc |↑ |0.7353|± |0.0253|
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| - professional_accounting | 1|none | 0|acc |↑ |0.5426|± |0.0297|
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| - professional_medicine | 1|none | 0|acc |↑ |0.6434|± |0.0291|
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| - virology | 1|none | 0|acc |↑ |0.4880|± |0.0389|
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| - social sciences | 2|none | |acc |↑ |0.7618|± |0.0076|
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| - econometrics | 1|none | 0|acc |↑ |0.5439|± |0.0469|
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| - high_school_geography | 1|none | 0|acc |↑ |0.7677|± |0.0301|
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| - high_school_government_and_politics| 1|none | 0|acc |↑ |0.8860|± |0.0229|
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| - high_school_macroeconomics | 1|none | 0|acc |↑ |0.6949|± |0.0233|
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| - high_school_microeconomics | 1|none | 0|acc |↑ |0.7773|± |0.0270|
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| - high_school_psychology | 1|none | 0|acc |↑ |0.8477|± |0.0154|
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| - human_sexuality | 1|none | 0|acc |↑ |0.7786|± |0.0364|
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| - professional_psychology | 1|none | 0|acc |↑ |0.7075|± |0.0184|
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| - public_relations | 1|none | 0|acc |↑ |0.6818|± |0.0446|
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| - security_studies | 1|none | 0|acc |↑ |0.7224|± |0.0287|
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| - sociology | 1|none | 0|acc |↑ |0.8458|± |0.0255|
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| - us_foreign_policy | 1|none | 0|acc |↑ |0.8400|± |0.0368|
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| - stem | 2|none | |acc |↑ |0.6070|± |0.0085|
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| - abstract_algebra | 1|none | 0|acc |↑ |0.4700|± |0.0502|
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| - anatomy | 1|none | 0|acc |↑ |0.6667|± |0.0407|
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| - astronomy | 1|none | 0|acc |↑ |0.6776|± |0.0380|
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| - college_biology | 1|none | 0|acc |↑ |0.7222|± |0.0375|
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| - college_chemistry | 1|none | 0|acc |↑ |0.5000|± |0.0503|
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| - college_computer_science | 1|none | 0|acc |↑ |0.6000|± |0.0492|
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| - college_mathematics | 1|none | 0|acc |↑ |0.3400|± |0.0476|
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| 126 |
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| - college_physics | 1|none | 0|acc |↑ |0.4902|± |0.0497|
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| 127 |
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| - computer_security | 1|none | 0|acc |↑ |0.7000|± |0.0461|
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| 128 |
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| - conceptual_physics | 1|none | 0|acc |↑ |0.6468|± |0.0312|
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| 129 |
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| - electrical_engineering | 1|none | 0|acc |↑ |0.6690|± |0.0392|
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| 130 |
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| - elementary_mathematics | 1|none | 0|acc |↑ |0.5979|± |0.0253|
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| 131 |
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| - high_school_biology | 1|none | 0|acc |↑ |0.8129|± |0.0222|
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| 132 |
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| - high_school_chemistry | 1|none | 0|acc |↑ |0.5813|± |0.0347|
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| 133 |
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| - high_school_computer_science | 1|none | 0|acc |↑ |0.7800|± |0.0416|
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| 134 |
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| - high_school_mathematics | 1|none | 0|acc |↑ |0.5037|± |0.0305|
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| 135 |
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| - high_school_physics | 1|none | 0|acc |↑ |0.4437|± |0.0406|
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| 136 |
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| - high_school_statistics | 1|none | 0|acc |↑ |0.5972|± |0.0334|
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| - machine_learning | 1|none | 0|acc |↑ |0.4554|± |0.0473|
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| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
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|------------------|------:|------|------|------|---|-----:|---|-----:|
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|mmlu | 2|none | |acc |↑ |0.6522|± |0.0038|
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| - humanities | 2|none | |acc |↑ |0.5734|± |0.0066|
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| - other | 2|none | |acc |↑ |0.7087|± |0.0079|
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| 144 |
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| - social sciences| 2|none | |acc |↑ |0.7618|± |0.0076|
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| - stem | 2|none | |acc |↑ |0.6070|± |0.0085|
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### mmlu (5-shot)
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```
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lm_eval --model hf --model_args pretrained=ethicalabs/Kurtis-E1.1-Qwen2.5-3B-Instruct --tasks mmlu --device cuda:0 --batch_size 8 --num_fewshot 5
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```
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| Tasks |Version|Filter|n-shot|Metric| |Value | |Stderr|
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|---------------------------------------|------:|------|-----:|------|---|-----:|---|-----:|
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|mmlu | 2|none | |acc |↑ |0.6629|± |0.0038|
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| - humanities | 2|none | |acc |↑ |0.5862|± |0.0067|
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| 157 |
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| - formal_logic | 1|none | 5|acc |↑ |0.4683|± |0.0446|
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| 158 |
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| - high_school_european_history | 1|none | 5|acc |↑ |0.7818|± |0.0323|
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| 159 |
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| - high_school_us_history | 1|none | 5|acc |↑ |0.8284|± |0.0265|
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| 160 |
+
| - high_school_world_history | 1|none | 5|acc |↑ |0.8692|± |0.0219|
|
| 161 |
+
| - international_law | 1|none | 5|acc |↑ |0.7769|± |0.0380|
|
| 162 |
+
| - jurisprudence | 1|none | 5|acc |↑ |0.7963|± |0.0389|
|
| 163 |
+
| - logical_fallacies | 1|none | 5|acc |↑ |0.8098|± |0.0308|
|
| 164 |
+
| - moral_disputes | 1|none | 5|acc |↑ |0.7110|± |0.0244|
|
| 165 |
+
| - moral_scenarios | 1|none | 5|acc |↑ |0.3464|± |0.0159|
|
| 166 |
+
| - philosophy | 1|none | 5|acc |↑ |0.7042|± |0.0259|
|
| 167 |
+
| - prehistory | 1|none | 5|acc |↑ |0.7284|± |0.0247|
|
| 168 |
+
| - professional_law | 1|none | 5|acc |↑ |0.4759|± |0.0128|
|
| 169 |
+
| - world_religions | 1|none | 5|acc |↑ |0.8304|± |0.0288|
|
| 170 |
+
| - other | 2|none | |acc |↑ |0.7171|± |0.0078|
|
| 171 |
+
| - business_ethics | 1|none | 5|acc |↑ |0.7400|± |0.0441|
|
| 172 |
+
| - clinical_knowledge | 1|none | 5|acc |↑ |0.7321|± |0.0273|
|
| 173 |
+
| - college_medicine | 1|none | 5|acc |↑ |0.6647|± |0.0360|
|
| 174 |
+
| - global_facts | 1|none | 5|acc |↑ |0.4100|± |0.0494|
|
| 175 |
+
| - human_aging | 1|none | 5|acc |↑ |0.7220|± |0.0301|
|
| 176 |
+
| - management | 1|none | 5|acc |↑ |0.7864|± |0.0406|
|
| 177 |
+
| - marketing | 1|none | 5|acc |↑ |0.8889|± |0.0206|
|
| 178 |
+
| - medical_genetics | 1|none | 5|acc |↑ |0.7900|± |0.0409|
|
| 179 |
+
| - miscellaneous | 1|none | 5|acc |↑ |0.7957|± |0.0144|
|
| 180 |
+
| - nutrition | 1|none | 5|acc |↑ |0.7680|± |0.0242|
|
| 181 |
+
| - professional_accounting | 1|none | 5|acc |↑ |0.5532|± |0.0297|
|
| 182 |
+
| - professional_medicine | 1|none | 5|acc |↑ |0.6471|± |0.0290|
|
| 183 |
+
| - virology | 1|none | 5|acc |↑ |0.5120|± |0.0389|
|
| 184 |
+
| - social sciences | 2|none | |acc |↑ |0.7735|± |0.0075|
|
| 185 |
+
| - econometrics | 1|none | 5|acc |↑ |0.5877|± |0.0463|
|
| 186 |
+
| - high_school_geography | 1|none | 5|acc |↑ |0.7828|± |0.0294|
|
| 187 |
+
| - high_school_government_and_politics| 1|none | 5|acc |↑ |0.8756|± |0.0238|
|
| 188 |
+
| - high_school_macroeconomics | 1|none | 5|acc |↑ |0.7051|± |0.0231|
|
| 189 |
+
| - high_school_microeconomics | 1|none | 5|acc |↑ |0.7773|± |0.0270|
|
| 190 |
+
| - high_school_psychology | 1|none | 5|acc |↑ |0.8550|± |0.0151|
|
| 191 |
+
| - human_sexuality | 1|none | 5|acc |↑ |0.8092|± |0.0345|
|
| 192 |
+
| - professional_psychology | 1|none | 5|acc |↑ |0.7288|± |0.0180|
|
| 193 |
+
| - public_relations | 1|none | 5|acc |↑ |0.6909|± |0.0443|
|
| 194 |
+
| - security_studies | 1|none | 5|acc |↑ |0.7551|± |0.0275|
|
| 195 |
+
| - sociology | 1|none | 5|acc |↑ |0.8308|± |0.0265|
|
| 196 |
+
| - us_foreign_policy | 1|none | 5|acc |↑ |0.8300|± |0.0378|
|
| 197 |
+
| - stem | 2|none | |acc |↑ |0.6159|± |0.0084|
|
| 198 |
+
| - abstract_algebra | 1|none | 5|acc |↑ |0.5000|± |0.0503|
|
| 199 |
+
| - anatomy | 1|none | 5|acc |↑ |0.6222|± |0.0419|
|
| 200 |
+
| - astronomy | 1|none | 5|acc |↑ |0.7500|± |0.0352|
|
| 201 |
+
| - college_biology | 1|none | 5|acc |↑ |0.7083|± |0.0380|
|
| 202 |
+
| - college_chemistry | 1|none | 5|acc |↑ |0.4700|± |0.0502|
|
| 203 |
+
| - college_computer_science | 1|none | 5|acc |↑ |0.6200|± |0.0488|
|
| 204 |
+
| - college_mathematics | 1|none | 5|acc |↑ |0.4000|± |0.0492|
|
| 205 |
+
| - college_physics | 1|none | 5|acc |↑ |0.4902|± |0.0497|
|
| 206 |
+
| - computer_security | 1|none | 5|acc |↑ |0.8200|± |0.0386|
|
| 207 |
+
| - conceptual_physics | 1|none | 5|acc |↑ |0.6383|± |0.0314|
|
| 208 |
+
| - electrical_engineering | 1|none | 5|acc |↑ |0.6483|± |0.0398|
|
| 209 |
+
| - elementary_mathematics | 1|none | 5|acc |↑ |0.5820|± |0.0254|
|
| 210 |
+
| - high_school_biology | 1|none | 5|acc |↑ |0.8161|± |0.0220|
|
| 211 |
+
| - high_school_chemistry | 1|none | 5|acc |↑ |0.6059|± |0.0344|
|
| 212 |
+
| - high_school_computer_science | 1|none | 5|acc |↑ |0.7500|± |0.0435|
|
| 213 |
+
| - high_school_mathematics | 1|none | 5|acc |↑ |0.4926|± |0.0305|
|
| 214 |
+
| - high_school_physics | 1|none | 5|acc |↑ |0.4702|± |0.0408|
|
| 215 |
+
| - high_school_statistics | 1|none | 5|acc |↑ |0.6343|± |0.0328|
|
| 216 |
+
| - machine_learning | 1|none | 5|acc |↑ |0.4911|± |0.0475|
|
| 217 |
+
|
| 218 |
+
| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
|
| 219 |
+
|------------------|------:|------|------|------|---|-----:|---|-----:|
|
| 220 |
+
|mmlu | 2|none | |acc |↑ |0.6629|± |0.0038|
|
| 221 |
+
| - humanities | 2|none | |acc |↑ |0.5862|± |0.0067|
|
| 222 |
+
| - other | 2|none | |acc |↑ |0.7171|± |0.0078|
|
| 223 |
+
| - social sciences| 2|none | |acc |↑ |0.7735|± |0.0075|
|
| 224 |
+
| - stem | 2|none | |acc |↑ |0.6159|± |0.0084|
|