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tgoktug/medical_sumamry_bart_model
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3434
- Validation Loss: 0.7118
- Epoch: 9
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.8460 | 0.6691 | 0 |
| 0.6843 | 0.6561 | 1 |
| 0.6166 | 0.6384 | 2 |
| 0.5645 | 0.6365 | 3 |
| 0.5187 | 0.6444 | 4 |
| 0.4770 | 0.6536 | 5 |
| 0.4394 | 0.6600 | 6 |
| 0.4046 | 0.6675 | 7 |
| 0.3729 | 0.6862 | 8 |
| 0.3434 | 0.7118 | 9 |
Framework versions
- Transformers 4.32.1
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
