Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (049996fc6698ab89ce97d8de8de8978557df4046)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
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---
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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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base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
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tags:
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- alignment-handbook
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- trl
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- dpo
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- generated_from_trainer
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datasets:
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- argilla/dpo-mix-7k
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pipeline_tag: text-generation
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model-index:
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- name: zephyr-7b-gemma
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results:
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-
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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: MT-Bench
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type: unknown
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metrics:
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-
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-
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-
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source:
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url: https://huggingface.co/spaces/lmsys/mt-bench
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---
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<img src="https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-v0.1/resolve/main/thumbnail.png" alt="Zephyr 7B Gemma Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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@@ -271,3 +370,17 @@ You may also wish to cite the creators of this model as well:
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howpublished = {\url{https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-v0.1}}
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}
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```
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---
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license: other
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tags:
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- alignment-handbook
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- trl
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- dpo
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- generated_from_trainer
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+
base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
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datasets:
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- argilla/dpo-mix-7k
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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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pipeline_tag: text-generation
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model-index:
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- name: zephyr-7b-gemma
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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: MT-Bench
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type: unknown
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metrics:
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- type: unknown
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value: 7.81
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name: score
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source:
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url: https://huggingface.co/spaces/lmsys/mt-bench
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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: 58.45
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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=HuggingFaceH4/zephyr-7b-gemma-v0.1
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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: 83.48
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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=HuggingFaceH4/zephyr-7b-gemma-v0.1
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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: 60.68
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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=HuggingFaceH4/zephyr-7b-gemma-v0.1
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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: 52.07
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=HuggingFaceH4/zephyr-7b-gemma-v0.1
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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: 74.19
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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=HuggingFaceH4/zephyr-7b-gemma-v0.1
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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: 45.56
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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=HuggingFaceH4/zephyr-7b-gemma-v0.1
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name: Open LLM Leaderboard
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---
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<img src="https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-v0.1/resolve/main/thumbnail.png" alt="Zephyr 7B Gemma Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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howpublished = {\url{https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-v0.1}}
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}
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```
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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_HuggingFaceH4__zephyr-7b-gemma-v0.1)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |62.41|
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|AI2 Reasoning Challenge (25-Shot)|58.45|
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|HellaSwag (10-Shot) |83.48|
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|MMLU (5-Shot) |60.68|
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|TruthfulQA (0-shot) |52.07|
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|Winogrande (5-shot) |74.19|
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|GSM8k (5-shot) |45.56|
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