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Middelz2/roberta-large-aphasia-narration-weightdecay0-lr2e4_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: 5.6128
- Validation Loss: 5.5802
- 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': 0.0002, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 2.1420 | 1.6450 | 0 |
| 1.6971 | 1.4556 | 1 |
| 1.6025 | 1.3882 | 2 |
| 1.4763 | 1.2997 | 3 |
| 1.4301 | 1.3055 | 4 |
| 1.4358 | 1.3317 | 5 |
| 2.2816 | 2.4774 | 6 |
| 2.7754 | 2.0994 | 7 |
| 4.5272 | 5.5713 | 8 |
| 5.6128 | 5.5802 | 9 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.13.0
- Tokenizers 0.13.3
