prithivMLmods
commited on
Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (b3562fc46f9da495f8a44138cbe0491580c23eb1)
README.md
CHANGED
@@ -9,6 +9,105 @@ library_name: transformers
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tags:
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- qwen
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- opus
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---
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![opus.gif](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/BELYApcX2oNMRsOW6nIyR.gif)
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@@ -105,4 +204,18 @@ response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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In generating long texts, minor errors in early outputs can sometimes propagate, reducing the overall coherence and accuracy of the response.
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6. **Dependency on High-Quality Prompts**:
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-
Performance may depend on the quality and specificity of the input prompt, requiring users to carefully design queries for optimal results.
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tags:
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- qwen
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- opus
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+
model-index:
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- name: Calcium-Opus-14B-Elite
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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: 60.64
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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%2FCalcium-Opus-14B-Elite
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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: 46.53
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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#/?search=prithivMLmods%2FCalcium-Opus-14B-Elite
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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: 37.08
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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=prithivMLmods%2FCalcium-Opus-14B-Elite
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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: 16.44
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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%2FCalcium-Opus-14B-Elite
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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: 20.95
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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%2FCalcium-Opus-14B-Elite
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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: 47.85
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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%2FCalcium-Opus-14B-Elite
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name: Open LLM Leaderboard
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---
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![opus.gif](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/BELYApcX2oNMRsOW6nIyR.gif)
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In generating long texts, minor errors in early outputs can sometimes propagate, reducing the overall coherence and accuracy of the response.
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6. **Dependency on High-Quality Prompts**:
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Performance may depend on the quality and specificity of the input prompt, requiring users to carefully design queries for optimal results.
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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__Calcium-Opus-14B-Elite-details)!
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Summarized results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/contents/viewer/default/train?q=prithivMLmods%2FCalcium-Opus-14B-Elite&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** | 38.25|
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|IFEval (0-Shot) | 60.64|
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|BBH (3-Shot) | 46.53|
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|MATH Lvl 5 (4-Shot)| 37.08|
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|GPQA (0-shot) | 16.44|
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|MuSR (0-shot) | 20.95|
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|MMLU-PRO (5-shot) | 47.85|
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