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tBERT_AUD_USD_M15
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3244
- Validation Loss: 1.7496
- Epoch: 30
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': 'AdamW', 'weight_decay': 0.004, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 2.1093 | 1.6309 | 0 |
| 1.4572 | 1.3502 | 1 |
| 1.3245 | 1.3056 | 2 |
| 1.2775 | 1.2649 | 3 |
| 1.2344 | 1.2459 | 4 |
| 1.2058 | 1.2326 | 5 |
| 1.1752 | 1.2210 | 6 |
| 1.1434 | 1.2044 | 7 |
| 1.1059 | 1.1903 | 8 |
| 1.0679 | 1.1847 | 9 |
| 1.0290 | 1.1809 | 10 |
| 0.9894 | 1.1818 | 11 |
| 0.9497 | 1.1848 | 12 |
| 0.9100 | 1.1945 | 13 |
| 0.8701 | 1.2059 | 14 |
| 0.8285 | 1.2073 | 15 |
| 0.7845 | 1.2165 | 16 |
| 0.7426 | 1.2349 | 17 |
| 0.7028 | 1.2598 | 18 |
| 0.6647 | 1.2900 | 19 |
| 0.6268 | 1.3258 | 20 |
| 0.5903 | 1.3533 | 21 |
| 0.5546 | 1.4013 | 22 |
| 0.5198 | 1.4422 | 23 |
| 0.4865 | 1.4759 | 24 |
| 0.4549 | 1.5352 | 25 |
| 0.4252 | 1.5785 | 26 |
| 0.3975 | 1.6256 | 27 |
| 0.3707 | 1.6668 | 28 |
| 0.3473 | 1.6984 | 29 |
| 0.3244 | 1.7496 | 30 |
Framework versions
- Transformers 4.29.0.dev0
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3
