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bert_3
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 6.0851
- 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 |
|---|---|
| 8.8352 | 0 |
| 6.8732 | 1 |
| 6.6390 | 2 |
| 6.3008 | 3 |
| 6.5051 | 4 |
| 6.3542 | 5 |
| 6.2322 | 6 |
| 6.2831 | 7 |
| 6.3018 | 8 |
| 6.2346 | 9 |
| 6.1593 | 10 |
| 6.1451 | 11 |
| 6.1091 | 12 |
| 6.1909 | 13 |
| 6.1473 | 14 |
| 6.0694 | 15 |
| 5.9517 | 16 |
| 6.1890 | 17 |
| 6.1535 | 18 |
| 6.0851 | 19 |
Framework versions
- Transformers 4.33.1
- TensorFlow 2.10.0
- Datasets 2.12.0
- Tokenizers 0.13.3
