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Adding Evaluation Results

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This 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

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  1. README.md +114 -1
README.md CHANGED
@@ -10,6 +10,105 @@ tags:
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  - Corpus
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  - Qwen
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  - trl
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  ![dsfsdf.gif](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/KRdF8fPkVNy-b7hlgUp75.gif)
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@@ -76,4 +175,18 @@ print(response)
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  2. **Language-Specific Variability**: Performance may differ across supported languages, especially for low-resource languages.
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  3. **Potential Error Accumulation**: Long-form text generation can introduce inconsistencies over extended outputs.
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  4. **Limited Real-World Awareness**: Knowledge is restricted to training data and may not reflect recent world events.
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- 5. **Prompt Sensitivity**: The quality of responses depends on the specificity and clarity of the input prompt.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - Corpus
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  - Qwen
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  - trl
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+ model-index:
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+ - name: Megatron-Corpus-14B-Exp
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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: 49.83
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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%2FMegatron-Corpus-14B-Exp
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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: 47.92
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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%2FMegatron-Corpus-14B-Exp
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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: 34.29
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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%2FMegatron-Corpus-14B-Exp
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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: 15.1
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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%2FMegatron-Corpus-14B-Exp
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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: 18.85
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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%2FMegatron-Corpus-14B-Exp
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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: 47.33
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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%2FMegatron-Corpus-14B-Exp
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+ name: Open LLM Leaderboard
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  ---
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  ![dsfsdf.gif](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/KRdF8fPkVNy-b7hlgUp75.gif)
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  2. **Language-Specific Variability**: Performance may differ across supported languages, especially for low-resource languages.
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  3. **Potential Error Accumulation**: Long-form text generation can introduce inconsistencies over extended outputs.
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  4. **Limited Real-World Awareness**: Knowledge is restricted to training data and may not reflect recent world events.
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+ 5. **Prompt Sensitivity**: The quality of responses depends on the specificity and clarity of the input prompt.
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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__Megatron-Corpus-14B-Exp-details)!
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+ Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=prithivMLmods%2FMegatron-Corpus-14B-Exp&sort[column]=Average%20%E2%AC%86%EF%B8%8F&sort[direction]=desc)!
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+
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+ | Metric |Value (%)|
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+ |-------------------|--------:|
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+ |**Average** | 35.55|
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+ |IFEval (0-Shot) | 49.83|
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+ |BBH (3-Shot) | 47.92|
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+ |MATH Lvl 5 (4-Shot)| 34.29|
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+ |GPQA (0-shot) | 15.10|
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+ |MuSR (0-shot) | 18.85|
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+ |MMLU-PRO (5-shot) | 47.33|
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+