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kasrahabib/distilbert-base-uncased-finetuned-re_smell_detector
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0045
- Validation Loss: 0.0243
- Train Precision: 95.87
- Train Recall: 93.28
- Train F1: 94.56
- Train Accuracy: 100.0
- 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 4614, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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 |
|---|---|---|---|---|---|---|
| 0.0447 | 0.0386 | 92.96 | 88.65 | 90.75 | 99.0 | 0 |
| 0.0072 | 0.0289 | 92.36 | 91.65 | 92.0 | 99.0 | 1 |
| 0.0045 | 0.0243 | 95.87 | 93.28 | 94.56 | 100.0 | 2 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.1
