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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: medication-lists |
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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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# medication-lists |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0228 |
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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: 0.004 |
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- train_batch_size: 3 |
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- eval_batch_size: 3 |
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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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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.2309 | 0.15 | 400 | 0.1886 | |
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| 0.151 | 0.3 | 800 | 0.1260 | |
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| 0.1061 | 0.45 | 1200 | 0.0852 | |
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| 0.0773 | 0.6 | 1600 | 0.0610 | |
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| 0.0693 | 0.75 | 2000 | 0.0498 | |
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| 0.0505 | 0.9 | 2400 | 0.0428 | |
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| 0.0428 | 1.05 | 2800 | 0.0387 | |
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| 0.0343 | 1.2 | 3200 | 0.0324 | |
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| 0.0289 | 1.35 | 3600 | 0.0299 | |
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| 0.0281 | 1.5 | 4000 | 0.0265 | |
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| 0.0251 | 1.65 | 4400 | 0.0250 | |
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| 0.0208 | 1.8 | 4800 | 0.0236 | |
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| 0.021 | 1.95 | 5200 | 0.0228 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.7 |
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- Tokenizers 0.14.1 |
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