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kasrahabib/bert-base-cased-S8-SMELL-DETECTOR-524-S8-SMELL-DETECTOR-13-10-2-23
This model is a fine-tuned version of kasrahabib/bert-base-cased-S8-SMELL-DETECTOR-524 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0101
- Validation Loss: 0.0038
- Train Precision: 1.0
- Train Recall: 1.0
- Train F1: 1.0
- Train Accuracy: 1.0
- Epoch: 9
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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 200, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
|---|---|---|---|---|---|---|
| 0.3877 | 0.2123 | 0.6809 | 0.5818 | 0.6275 | 0.9469 | 0 |
| 0.1917 | 0.1059 | 0.7647 | 0.7091 | 0.7358 | 0.9717 | 1 |
| 0.1145 | 0.0492 | 0.9074 | 0.8909 | 0.8991 | 0.9858 | 2 |
| 0.0656 | 0.0245 | 0.9630 | 0.9455 | 0.9541 | 0.9917 | 3 |
| 0.0367 | 0.0122 | 0.9643 | 0.9818 | 0.9730 | 0.9988 | 4 |
| 0.0226 | 0.0084 | 1.0 | 1.0 | 1.0 | 1.0 | 5 |
| 0.0168 | 0.0058 | 1.0 | 1.0 | 1.0 | 1.0 | 6 |
| 0.0115 | 0.0048 | 1.0 | 1.0 | 1.0 | 1.0 | 7 |
| 0.0112 | 0.0041 | 1.0 | 1.0 | 1.0 | 1.0 | 8 |
| 0.0101 | 0.0038 | 1.0 | 1.0 | 1.0 | 1.0 | 9 |
Framework versions
- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1
