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--- |
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datasets: |
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- BI55/MedText |
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- pubmed_qa |
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metrics: |
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- bleu |
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- perplexity |
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pipeline_tag: text-generation |
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widget: |
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- text: <|USER|> What is Schizophrenia? <|ASSISTANT|> |
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inference: |
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parameters: |
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temperature: 0.8 |
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top_p: 0.14 |
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top_k: 41 |
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max_new_tokens: 15 |
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repetition_penalty: 1.176 |
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tags: |
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- medical |
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--- |
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A further fine-tuned version of Locutusque/gpt2-large-conversational on MedText and pubmed_qa |
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# Evaluation |
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This model was evaluated using GPT-3.5, and it was asked medical questions. It achieved an average accuracy of 80%. |