<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
Middelz2/roberta-large-aphasia-narration_eps_10
This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.0040
- Validation Loss: 0.8973
- 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 |
|---|---|---|
| 1.5221 | 1.3073 | 0 |
| 1.2893 | 1.1813 | 1 |
| 1.2003 | 1.1133 | 2 |
| 1.1405 | 1.0744 | 3 |
| 1.0984 | 1.0507 | 4 |
| 1.0587 | 0.9995 | 5 |
| 1.0522 | 0.9747 | 6 |
| 1.0279 | 0.9341 | 7 |
| 1.0190 | 0.9423 | 8 |
| 1.0040 | 0.8973 | 9 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.13.0
- Tokenizers 0.13.3
