Adding Evaluation Results
#2
by
leaderboard-pr-bot
- opened
README.md
CHANGED
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---
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license: apache-2.0
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tags:
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- japanese-stablelm
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- causal-lm
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pipeline_tag: text-generation
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datasets:
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- wikipedia
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- mc4
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- oscar-corpus/OSCAR-2301
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- oscar-corpus/OSCAR-2201
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- cerebras/SlimPajama-627B
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-
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- ja
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extra_gated_fields:
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Name: text
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Email: text
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Country: text
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Organization or Affiliation: text
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I allow Stability AI to contact me about information related to its models and research: checkbox
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---
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# Japanese Stable LM Base Gamma 7B
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@@ -102,4 +205,17 @@ This model is based on Mistral-7B-v0.1 released by the Mistral AI team. We are g
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We are grateful for the contributions of the EleutherAI Polyglot-JA team in helping us to collect a large amount of pre-training data in Japanese. Polyglot-JA members includes Hyunwoong Ko (Project Lead), Fujiki Nakamura (originally started this project when he commited to the Polyglot team), Yunho Mo, Minji Jung, KeunSeok Im, and Su-Kyeong Jang.
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-
We are also appreciative of [AI Novelist/Sta (Bit192, Inc.)](https://ai-novel.com/index.php) and the numerous contributors from [Stable Community Japan](https://discord.gg/VPrcE475HB) for assisting us in gathering a large amount of high-quality Japanese textual data for model training.
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---
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+
language:
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- ja
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license: apache-2.0
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tags:
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- japanese-stablelm
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- causal-lm
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datasets:
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- wikipedia
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- mc4
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- oscar-corpus/OSCAR-2301
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- oscar-corpus/OSCAR-2201
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- cerebras/SlimPajama-627B
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pipeline_tag: text-generation
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extra_gated_fields:
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Name: text
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Email: text
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Country: text
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Organization or Affiliation: text
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I allow Stability AI to contact me about information related to its models and research: checkbox
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model-index:
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- name: japanese-stablelm-base-gamma-7b
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 50.34
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=stabilityai/japanese-stablelm-base-gamma-7b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 77.47
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=stabilityai/japanese-stablelm-base-gamma-7b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 54.75
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=stabilityai/japanese-stablelm-base-gamma-7b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 41.2
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=stabilityai/japanese-stablelm-base-gamma-7b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 73.95
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=stabilityai/japanese-stablelm-base-gamma-7b
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 17.82
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=stabilityai/japanese-stablelm-base-gamma-7b
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name: Open LLM Leaderboard
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---
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# Japanese Stable LM Base Gamma 7B
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We are grateful for the contributions of the EleutherAI Polyglot-JA team in helping us to collect a large amount of pre-training data in Japanese. Polyglot-JA members includes Hyunwoong Ko (Project Lead), Fujiki Nakamura (originally started this project when he commited to the Polyglot team), Yunho Mo, Minji Jung, KeunSeok Im, and Su-Kyeong Jang.
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We are also appreciative of [AI Novelist/Sta (Bit192, Inc.)](https://ai-novel.com/index.php) and the numerous contributors from [Stable Community Japan](https://discord.gg/VPrcE475HB) for assisting us in gathering a large amount of high-quality Japanese textual data for model training.
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_stabilityai__japanese-stablelm-base-gamma-7b)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |52.59|
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|AI2 Reasoning Challenge (25-Shot)|50.34|
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|HellaSwag (10-Shot) |77.47|
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|MMLU (5-Shot) |54.75|
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|TruthfulQA (0-shot) |41.20|
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|Winogrande (5-shot) |73.95|
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|GSM8k (5-shot) |17.82|
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