pbwt/th1
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0008
- Train Sparse Categorical Accuracy: 1.0
- Validation Loss: 0.0005
- Validation Sparse Categorical Accuracy: 1.0
- Epoch: 2
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': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
|---|---|---|---|---|
| 0.1184 | 0.9650 | 0.0017 | 1.0 | 0 |
| 0.0015 | 1.0 | 0.0008 | 1.0 | 1 |
| 0.0008 | 1.0 | 0.0005 | 1.0 | 2 |
Framework versions
- Transformers 4.18.0
- TensorFlow 2.6.2
- Datasets 2.4.0
- Tokenizers 0.12.1