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bert_2
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 6.0866
- 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': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Epoch |
|---|---|
| 8.8502 | 0 |
| 6.8731 | 1 |
| 6.6278 | 2 |
| 6.3044 | 3 |
| 6.5034 | 4 |
| 6.3506 | 5 |
| 6.2371 | 6 |
| 6.2773 | 7 |
| 6.3046 | 8 |
| 6.2321 | 9 |
| 6.1580 | 10 |
| 6.1413 | 11 |
| 6.1099 | 12 |
| 6.1912 | 13 |
| 6.1513 | 14 |
| 6.0705 | 15 |
| 5.9464 | 16 |
| 6.1913 | 17 |
| 6.1540 | 18 |
| 6.0866 | 19 |
Framework versions
- Transformers 4.33.1
- TensorFlow 2.10.0
- Datasets 2.12.0
- Tokenizers 0.13.3
