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README.md
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# suarkadipa/GPT-2-finetuned-medical-domain
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an CShorten/ML-ArXiv-Papers dataset. Based on https://python.plainenglish.io/i-fine-tuned-gpt-2-on-100k-scientific-papers-heres-the-result-903f0784fe65
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It achieves the following results on the evaluation set:
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- Train Loss: 2.5822
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- Validation Loss: 2.1133
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# suarkadipa/GPT-2-finetuned-medical-domain
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an CShorten/ML-ArXiv-Papers dataset. Based on https://python.plainenglish.io/i-fine-tuned-gpt-2-on-100k-scientific-papers-heres-the-result-903f0784fe65
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It achieves the following results on the evaluation set:
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- Train Loss: 2.5822
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- Validation Loss: 2.1133
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