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tBERT_big_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: 3.8267
- Validation Loss: 4.1189
- Epoch: 20
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 |
|---|---|---|
| 0.0158 | 0.0710 | 0 |
| 0.0151 | 0.0729 | 1 |
| 0.0159 | 0.0729 | 2 |
| 2.3811 | 3.1534 | 3 |
| 2.7825 | 2.4722 | 4 |
| 2.2866 | 2.4094 | 5 |
| 2.2834 | 2.3846 | 6 |
| 2.0984 | 2.0451 | 7 |
| 2.0839 | 2.0866 | 8 |
| 2.1224 | 1.5450 | 9 |
| 1.9191 | 1.6559 | 10 |
| 1.8116 | 1.3405 | 11 |
| 1.4663 | 1.1409 | 12 |
| 1.1174 | 0.9641 | 13 |
| 0.9987 | 0.9052 | 14 |
| 1.9402 | 3.8288 | 15 |
| 3.8278 | 3.8280 | 16 |
| 3.8274 | 3.8277 | 17 |
| 3.8272 | 3.8295 | 18 |
| 3.8269 | 3.8295 | 19 |
| 3.8267 | 4.1189 | 20 |
Framework versions
- Transformers 4.30.0.dev0
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
