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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 +116 -8
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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- license: apache-2.0
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  language:
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  - en
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- pipeline_tag: text-generation
 
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  tags:
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  - chat
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  - qwen
@@ -13,17 +13,112 @@ tags:
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  - HelpSteer2
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  - Orca
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  - SlimOrca
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- library_name: transformers
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- inference: false
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- model_creator: MaziyarPanahi
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- quantized_by: MaziyarPanahi
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  base_model: Qwen/Qwen2-7B
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- model_name: calme-2.7-qwen2-7b
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  datasets:
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  - nvidia/HelpSteer2
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  - teknium/OpenHermes-2.5
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  - microsoft/orca-math-word-problems-200k
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  - Open-Orca/SlimOrca
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <img src="./qwen2-fine-tunes-maziyar-panahi.webp" alt="Qwen2 fine-tune" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
@@ -78,4 +173,17 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
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  tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.7-qwen2-7b")
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  model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.7-qwen2-7b")
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ library_name: transformers
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  tags:
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  - chat
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  - qwen
 
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  - HelpSteer2
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  - Orca
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  - SlimOrca
 
 
 
 
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  base_model: Qwen/Qwen2-7B
 
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  datasets:
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  - nvidia/HelpSteer2
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  - teknium/OpenHermes-2.5
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  - microsoft/orca-math-word-problems-200k
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  - Open-Orca/SlimOrca
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+ model_name: calme-2.7-qwen2-7b
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+ pipeline_tag: text-generation
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+ inference: false
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+ model_creator: MaziyarPanahi
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+ quantized_by: MaziyarPanahi
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+ model-index:
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+ - name: calme-2.7-qwen2-7b
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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: IFEval (0-Shot)
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+ type: HuggingFaceH4/ifeval
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: inst_level_strict_acc and prompt_level_strict_acc
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+ value: 35.92
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+ name: strict accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.7-qwen2-7b
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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: BBH (3-Shot)
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+ type: BBH
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+ args:
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+ num_few_shot: 3
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+ metrics:
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+ - type: acc_norm
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+ value: 28.91
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.7-qwen2-7b
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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: MATH Lvl 5 (4-Shot)
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+ type: hendrycks/competition_math
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+ args:
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+ num_few_shot: 4
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+ metrics:
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+ - type: exact_match
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+ value: 12.08
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+ name: exact match
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.7-qwen2-7b
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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: GPQA (0-shot)
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+ type: Idavidrein/gpqa
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 5.48
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.7-qwen2-7b
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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: MuSR (0-shot)
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+ type: TAUR-Lab/MuSR
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: acc_norm
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+ value: 19.94
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+ name: acc_norm
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.7-qwen2-7b
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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-PRO (5-shot)
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+ type: TIGER-Lab/MMLU-Pro
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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: 30.06
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MaziyarPanahi/calme-2.7-qwen2-7b
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+ name: Open LLM Leaderboard
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  ---
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  <img src="./qwen2-fine-tunes-maziyar-panahi.webp" alt="Qwen2 fine-tune" width="500" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
 
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  tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.7-qwen2-7b")
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  model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.7-qwen2-7b")
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+ ```
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_MaziyarPanahi__calme-2.7-qwen2-7b)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |22.07|
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+ |IFEval (0-Shot) |35.92|
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+ |BBH (3-Shot) |28.91|
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+ |MATH Lvl 5 (4-Shot)|12.08|
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+ |GPQA (0-shot) | 5.48|
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+ |MuSR (0-shot) |19.94|
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+ |MMLU-PRO (5-shot) |30.06|
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+