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tgoktug/my_bert_classification_model
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: 0.5157
- Validation Loss: 1.1278
- Train Accuracy: 0.5596
- Epoch: 6
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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 1.0725 | 0.8868 | 0.6163 | 0 |
| 0.8197 | 0.8660 | 0.6323 | 1 |
| 0.7354 | 0.8494 | 0.6046 | 2 |
| 0.6645 | 0.9047 | 0.6080 | 3 |
| 0.6108 | 0.9597 | 0.5914 | 4 |
| 0.5581 | 1.0378 | 0.5713 | 5 |
| 0.5157 | 1.1278 | 0.5596 | 6 |
Framework versions
- Transformers 4.32.1
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
