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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: |
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- pubmed-summarization |
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model-index: |
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- name: medicare-gpt2-large |
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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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# medicare-gpt2-large |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the pubmed-summarization dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.6383 |
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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: 0.0005 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 256 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 1 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 5.9036 | 0.08 | 500 | 4.2296 | |
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| 3.7554 | 0.16 | 1000 | 3.3542 | |
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| 3.2457 | 0.23 | 1500 | 3.0897 | |
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| 3.065 | 0.31 | 2000 | 2.9694 | |
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| 2.966 | 0.39 | 2500 | 2.8919 | |
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| 2.8912 | 0.47 | 3000 | 2.8305 | |
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| 2.8345 | 0.55 | 3500 | 2.7817 | |
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| 2.7818 | 0.62 | 4000 | 2.7378 | |
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| 2.7391 | 0.7 | 4500 | 2.7001 | |
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| 2.7052 | 0.78 | 5000 | 2.6689 | |
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| 2.6769 | 0.86 | 5500 | 2.6486 | |
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| 2.6599 | 0.94 | 6000 | 2.6383 | |
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### Framework versions |
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- Transformers 4.28.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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### Test input samples |
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diabetes is caused by |