mekjr1/Feel-bert-base-uncased-trial-vent
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.0961
- Validation Loss: 3.2267
- Epoch: 19
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': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -992, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, '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: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 3.1524 | 2.8831 | 0 |
| 3.3046 | 2.9650 | 1 |
| 3.3182 | 2.2945 | 2 |
| 3.2669 | 3.1812 | 3 |
| 3.1702 | 2.7750 | 4 |
| 3.2273 | 2.0445 | 5 |
| 3.2955 | 2.7407 | 6 |
| 3.1915 | 3.0679 | 7 |
| 3.2005 | 2.0120 | 8 |
| 3.0654 | 2.3347 | 9 |
| 3.0985 | 2.9339 | 10 |
| 3.0161 | 2.8847 | 11 |
| 3.1455 | 3.1531 | 12 |
| 3.1237 | 3.3190 | 13 |
| 3.1059 | 2.5587 | 14 |
| 3.0486 | 2.8180 | 15 |
| 2.9230 | 2.2432 | 16 |
| 3.0667 | 3.0650 | 17 |
| 2.9550 | 2.4731 | 18 |
| 3.0961 | 3.2267 | 19 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.9.0
- Tokenizers 0.13.2