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Adding Evaluation Results (#11)
Browse files- Adding Evaluation Results (01f19e7d970866a2c9814e5ca2d4871b612d87c7)
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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license: apache-2.0
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language:
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- en
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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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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-2.8-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'"/>
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@@ -78,4 +173,17 @@ from transformers import AutoTokenizer, AutoModelForCausalLM
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tokenizer = AutoTokenizer.from_pretrained("MaziyarPanahi/calme-2.8-qwen2-7b")
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model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.8-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-2.8-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: Qwen2-7B-Instruct-v0.8
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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: 27.75
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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/Qwen2-7B-Instruct-v0.8
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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: 25.53
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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/Qwen2-7B-Instruct-v0.8
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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: 15.63
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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/Qwen2-7B-Instruct-v0.8
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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: 5.82
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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/Qwen2-7B-Instruct-v0.8
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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: 12.06
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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/Qwen2-7B-Instruct-v0.8
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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: 28.51
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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/Qwen2-7B-Instruct-v0.8
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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-2.8-qwen2-7b")
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model = AutoModelForCausalLM.from_pretrained("MaziyarPanahi/calme-2.8-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__Qwen2-7B-Instruct-v0.8)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |19.22|
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|IFEval (0-Shot) |27.75|
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|BBH (3-Shot) |25.53|
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|MATH Lvl 5 (4-Shot)|15.63|
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|GPQA (0-shot) | 5.82|
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|MuSR (0-shot) |12.06|
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|MMLU-PRO (5-shot) |28.51|
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