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Adding Evaluation Results

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This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

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  1. README.md +120 -4
README.md CHANGED
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  ---
 
 
 
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  datasets:
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  - ehartford/dolphin
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  - jondurbin/airoboros-2.2.1
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  - ise-uiuc/Magicoder-OSS-Instruct-75K
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  - ise-uiuc/Magicoder-Evol-Instruct-110K
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  - LDJnr/Capybara
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- language:
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- - en
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- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  This is a pruned version of [cognitivecomputations/dolphin-2.6-mistral-7b-dpo](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo) from 7.24B params to 5.93B params (~ 82%).
@@ -49,4 +152,17 @@ merge_method: passthrough
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  dtype: bfloat16
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  ```
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- The model outputted by mergekit with this configuration is this model (dolphin-2.6-mistral-7b-dpo-5.93B).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ license: apache-2.0
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  datasets:
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  - ehartford/dolphin
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  - jondurbin/airoboros-2.2.1
 
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  - ise-uiuc/Magicoder-OSS-Instruct-75K
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  - ise-uiuc/Magicoder-Evol-Instruct-110K
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  - LDJnr/Capybara
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+ model-index:
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+ - name: dolphin-2.6-mistral-7b-dpo-5.93B
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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: 38.99
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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=Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B
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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: 61.01
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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=Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B
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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: 27.32
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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=Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B
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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: 53.51
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B
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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: 62.67
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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=Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B
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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: 0.23
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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=Mihaiii/dolphin-2.6-mistral-7b-dpo-5.93B
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+ name: Open LLM Leaderboard
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  ---
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  This is a pruned version of [cognitivecomputations/dolphin-2.6-mistral-7b-dpo](https://huggingface.co/cognitivecomputations/dolphin-2.6-mistral-7b-dpo) from 7.24B params to 5.93B params (~ 82%).
 
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  dtype: bfloat16
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  ```
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+ The model outputted by mergekit with this configuration is this model (dolphin-2.6-mistral-7b-dpo-5.93B).
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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_Mihaiii__dolphin-2.6-mistral-7b-dpo-5.93B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |40.62|
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+ |AI2 Reasoning Challenge (25-Shot)|38.99|
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+ |HellaSwag (10-Shot) |61.01|
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+ |MMLU (5-Shot) |27.32|
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+ |TruthfulQA (0-shot) |53.51|
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+ |Winogrande (5-shot) |62.67|
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+ |GSM8k (5-shot) | 0.23|
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+