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Legendleads/my_awesome_wnut_model
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0653
- Validation Loss: 0.1266
- Train Precision: 0.5580
- Train Recall: 0.6273
- Train F1: 0.5906
- Train Accuracy: 0.9639
- 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1218, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 0.1351 | 0.1260 | 0.5340 | 0.6335 | 0.5795 | 0.9624 | 0 |
| 0.0929 | 0.1263 | 0.5285 | 0.6335 | 0.5763 | 0.9631 | 1 |
| 0.0728 | 0.1266 | 0.5580 | 0.6273 | 0.5906 | 0.9639 | 2 |
| 0.0652 | 0.1266 | 0.5580 | 0.6273 | 0.5906 | 0.9639 | 3 |
| 0.0661 | 0.1266 | 0.5580 | 0.6273 | 0.5906 | 0.9639 | 4 |
| 0.0650 | 0.1266 | 0.5580 | 0.6273 | 0.5906 | 0.9639 | 5 |
| 0.0655 | 0.1266 | 0.5580 | 0.6273 | 0.5906 | 0.9639 | 6 |
| 0.0661 | 0.1266 | 0.5580 | 0.6273 | 0.5906 | 0.9639 | 7 |
| 0.0658 | 0.1266 | 0.5580 | 0.6273 | 0.5906 | 0.9639 | 8 |
| 0.0653 | 0.1266 | 0.5580 | 0.6273 | 0.5906 | 0.9639 | 9 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3
