Adding Evaluation Results
Browse filesThis is an automated PR created with [this space](https://huggingface.co/spaces/T145/open-llm-leaderboard-results-to-modelcard)!
The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.
Please report any issues here: https://huggingface.co/spaces/T145/open-llm-leaderboard-results-to-modelcard/discussions
README.md
CHANGED
@@ -5,6 +5,105 @@ datasets:
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- vicgalle/configurable-system-prompt-multitask
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base_model:
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- Qwen/Qwen2.5-0.5B-Instruct
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---
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# Qwen2.5-0.5B-Instruct-CrashCourse-dropout
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@@ -39,3 +138,18 @@ Users should be aware that this model, like all AI models, may reflect biases pr
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## Additional Information
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For more details on the base model, please refer to the Qwen/Qwen2.5-0.5B-Instruct model card. For information about the datasets used in fine-tuning, check the respective dataset cards on the Hugging Face Hub.
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- vicgalle/configurable-system-prompt-multitask
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base_model:
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- Qwen/Qwen2.5-0.5B-Instruct
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model-index:
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- name: Qwen2.5-0.5B-Instruct-CrashCourse-dropout
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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: wis-k/instruction-following-eval
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split: train
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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: 29.49
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name: averaged accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FQwen2.5-0.5B-Instruct-CrashCourse-dropout
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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: SaylorTwift/bbh
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split: test
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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: 7.23
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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#/?search=agentlans%2FQwen2.5-0.5B-Instruct-CrashCourse-dropout
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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: lighteval/MATH-Hard
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split: test
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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: 0.08
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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#/?search=agentlans%2FQwen2.5-0.5B-Instruct-CrashCourse-dropout
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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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split: train
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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: 1.79
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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#/?search=agentlans%2FQwen2.5-0.5B-Instruct-CrashCourse-dropout
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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: 1.11
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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#/?search=agentlans%2FQwen2.5-0.5B-Instruct-CrashCourse-dropout
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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: 6.76
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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#/?search=agentlans%2FQwen2.5-0.5B-Instruct-CrashCourse-dropout
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name: Open LLM Leaderboard
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---
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# Qwen2.5-0.5B-Instruct-CrashCourse-dropout
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## Additional Information
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For more details on the base model, please refer to the Qwen/Qwen2.5-0.5B-Instruct model card. For information about the datasets used in fine-tuning, check the respective dataset cards on the Hugging Face Hub.
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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/agentlans__Qwen2.5-0.5B-Instruct-CrashCourse-dropout-details)!
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Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=agentlans%2FQwen2.5-0.5B-Instruct-CrashCourse-dropout&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
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| Metric |Value (%)|
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|-------------------|--------:|
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|**Average** | 7.74|
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|IFEval (0-Shot) | 29.49|
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|BBH (3-Shot) | 7.23|
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|MATH Lvl 5 (4-Shot)| 0.08|
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|GPQA (0-shot) | 1.79|
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|MuSR (0-shot) | 1.11|
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|MMLU-PRO (5-shot) | 6.76|
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