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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilgpt2-finetuned-medical |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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