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kasrahabib/bert-base-cased-S8-SMELL-DETECTOR-524
This model is a fine-tuned version of kasrahabib/bert-base-cased-S8-SMELL-DETECTOR on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.2270
- Validation Loss: 0.3256
- Train Precision: 0.4648
- Train Recall: 0.3570
- Train F1: 0.4038
- Train Accuracy: 0.9306
- Epoch: 4
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': 65, '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 |
|---|---|---|---|---|---|---|
| 0.6543 | 0.5920 | 0.2640 | 0.3181 | 0.2886 | 0.8961 | 0 |
| 0.3260 | 0.4074 | 0.4289 | 0.3012 | 0.3539 | 0.9250 | 1 |
| 0.2620 | 0.3550 | 0.45 | 0.3350 | 0.3841 | 0.9275 | 2 |
| 0.2364 | 0.3323 | 0.4505 | 0.3621 | 0.4015 | 0.9296 | 3 |
| 0.2270 | 0.3256 | 0.4648 | 0.3570 | 0.4038 | 0.9306 | 4 |
Framework versions
- Transformers 4.33.1
- TensorFlow 2.14.0
- Datasets 2.14.4
- Tokenizers 0.13.3
