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MedBERT-breastcancer
This model is a fine-tuned version of Charangan/MedBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9742
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 12263 | 1.0881 |
| No log | 2.0 | 24526 | 1.0259 |
| No log | 3.0 | 36789 | 0.9937 |
| No log | 4.0 | 49052 | 0.9831 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.8.0
- Datasets 2.2.2
- Tokenizers 0.13.2
