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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (7822444c1eb270c1918b685f4388cf3cd88b85fe)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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---
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tags:
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- chatml
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datasets:
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- HuggingFaceH4/ultrachat_200k
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- teknium/OpenHermes-2.5
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- m-a-p/Code-Feedback
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- ise-uiuc/Magicoder-Evol-Instruct-110K
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- ise-uiuc/Magicoder-OSS-Instruct-75K
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language:
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- en
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base_model: google/gemma-2b
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license: other
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license_name: gemma-terms-of-use
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license_link: https://ai.google.dev/gemma/terms
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---
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This is just a preview model. It is a finetuned gemma-2b with added chatml tokens.
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---
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+
language:
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- en
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license: other
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tags:
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- chatml
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base_model: google/gemma-2b
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datasets:
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- HuggingFaceH4/ultrachat_200k
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- teknium/OpenHermes-2.5
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- m-a-p/Code-Feedback
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- ise-uiuc/Magicoder-Evol-Instruct-110K
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- ise-uiuc/Magicoder-OSS-Instruct-75K
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license_name: gemma-terms-of-use
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license_link: https://ai.google.dev/gemma/terms
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model-index:
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- name: new_model_test
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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: 52.56
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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=pansophic/new_model_test
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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: 73.65
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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=pansophic/new_model_test
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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: 46.02
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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=pansophic/new_model_test
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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: 51.25
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=pansophic/new_model_test
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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: 66.38
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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=pansophic/new_model_test
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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: 37.91
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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=pansophic/new_model_test
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name: Open LLM Leaderboard
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---
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This is just a preview model. It is a finetuned gemma-2b with added chatml tokens.
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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_pansophic__new_model_test)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |54.63|
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|AI2 Reasoning Challenge (25-Shot)|52.56|
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|HellaSwag (10-Shot) |73.65|
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|MMLU (5-Shot) |46.02|
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|TruthfulQA (0-shot) |51.25|
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|Winogrande (5-shot) |66.38|
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|GSM8k (5-shot) |37.91|
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