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README.md
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# distilgpt2-finetuned-medical
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 | 15 | 2.
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| No log | 2.0 | 30 |
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| No log | 3.0 | 45 |
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### Framework versions
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# distilgpt2-finetuned-medical
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This model is a fine-tuned version of [vega6000/distilgpt2-finetuned-medical](https://huggingface.co/vega6000/distilgpt2-finetuned-medical) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6248
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 15 | 2.0817 |
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| No log | 2.0 | 30 | 1.9431 |
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| No log | 3.0 | 45 | 1.8487 |
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| No log | 4.0 | 60 | 1.7761 |
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| No log | 5.0 | 75 | 1.7253 |
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| No log | 6.0 | 90 | 1.6875 |
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| No log | 7.0 | 105 | 1.6574 |
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| No log | 8.0 | 120 | 1.6385 |
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| No log | 9.0 | 135 | 1.6288 |
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| No log | 10.0 | 150 | 1.6248 |
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### Framework versions
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