chenhugging
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Update README.md
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README.md
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@@ -40,3 +40,20 @@ The following hyperparameters were used during training:
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- Pytorch 2.1.1+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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- Pytorch 2.1.1+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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### Performance
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hf (pretrained=mistralai/Mistral-7B-v0.1,parallelize=True,load_in_4bit=True,peft=chenhugging/mistral-7b-medmcqa-inst-v1), gen_kwargs: (None), limit: 100.0, num_fewshot: None, batch_size: 1
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| Tasks |Version|Filter|n-shot| Metric |Value| |Stderr|
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|---------------------|-------|------|-----:|--------|----:|---|-----:|
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|pubmedqa | 1|none | 0|acc | 0.98|± |0.0141|
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|medmcqa |Yaml |none | 0|acc | 0.48|± |0.0502|
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|professional_medicine| 0|none | 0|acc | 0.61|± |0.0490|
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|college_medicine | 0|none | 0|acc | 0.57|± |0.0498|
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|clinical_knowledge | 0|none | 0|acc | 0.65|± |0.0479|
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|ocn |Yaml |none | 0|acc | 0.68|± |0.0469|
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|aocnp |Yaml |none | 0|acc | 0.56|± |0.0499|
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### Original Performance (mistralai/Mistral-7B-v0.1)
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