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bert_4
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: nan
- Epoch: 39
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 |
|---|---|
| 9.1922 | 0 |
| nan | 1 |
| nan | 2 |
| nan | 3 |
| nan | 4 |
| nan | 5 |
| nan | 6 |
| nan | 7 |
| nan | 8 |
| nan | 9 |
| nan | 10 |
| nan | 11 |
| nan | 12 |
| nan | 13 |
| nan | 14 |
| nan | 15 |
| nan | 16 |
| nan | 17 |
| nan | 18 |
| nan | 19 |
| nan | 20 |
| nan | 21 |
| nan | 22 |
| nan | 23 |
| nan | 24 |
| nan | 25 |
| nan | 26 |
| nan | 27 |
| nan | 28 |
| nan | 29 |
| nan | 30 |
| nan | 31 |
| nan | 32 |
| nan | 33 |
| nan | 34 |
| nan | 35 |
| nan | 36 |
| nan | 37 |
| nan | 38 |
| nan | 39 |
Framework versions
- Transformers 4.33.1
- TensorFlow 2.10.0
- Datasets 2.12.0
- Tokenizers 0.13.3
