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
@@ -12,6 +12,105 @@ tags:
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- text-generation-inference
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- Qwen
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- RL
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---
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
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# **Sombrero-Opus-14B-Elite5**
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@@ -100,4 +199,18 @@ response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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Minor errors in early responses may affect overall coherence in long-form outputs.
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6. **Prompt Sensitivity**:
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-
The effectiveness of responses may depend on how well the input prompt is structured.
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- text-generation-inference
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- Qwen
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- RL
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model-index:
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- name: Sombrero-Opus-14B-Elite5
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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: 78.81
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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=prithivMLmods%2FSombrero-Opus-14B-Elite5
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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: 50.17
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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=prithivMLmods%2FSombrero-Opus-14B-Elite5
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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: 53.55
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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=prithivMLmods%2FSombrero-Opus-14B-Elite5
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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: 11.52
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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=prithivMLmods%2FSombrero-Opus-14B-Elite5
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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: 13.22
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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=prithivMLmods%2FSombrero-Opus-14B-Elite5
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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: 46.67
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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=prithivMLmods%2FSombrero-Opus-14B-Elite5
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name: Open LLM Leaderboard
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---
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
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# **Sombrero-Opus-14B-Elite5**
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Minor errors in early responses may affect overall coherence in long-form outputs.
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6. **Prompt Sensitivity**:
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The effectiveness of responses may depend on how well the input prompt is structured.
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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/prithivMLmods__Sombrero-Opus-14B-Elite5-details)!
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Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=prithivMLmods%2FSombrero-Opus-14B-Elite5&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** | 42.32|
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|IFEval (0-Shot) | 78.81|
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|BBH (3-Shot) | 50.17|
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|MATH Lvl 5 (4-Shot)| 53.55|
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|GPQA (0-shot) | 11.52|
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|MuSR (0-shot) | 13.22|
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|MMLU-PRO (5-shot) | 46.67|
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