suarkadipa
/

GPT-2-finetuned-medical-domain

Text Generation

generated_from_keras_callback

Inference Endpoints

text-generation-inference

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suarkadipa commited on Jun 14, 2023

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@@ -14,7 +14,7 @@ probably proofread and complete it, then remove this comment. -->
 # suarkadipa/GPT-2-finetuned-medical-domain
-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
 It achieves the following results on the evaluation set:
 - Train Loss: 2.5822

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