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Legendleads/p4_model
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: 0.1334
- Validation Loss: 0.1298
- Train Precision: 0.4545
- Train Recall: 0.4969
- Train F1: 0.4748
- Train Accuracy: 0.9589
- 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1218, '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 |
|---|---|---|---|---|---|---|
| 0.3886 | 0.2033 | 0.2760 | 0.3292 | 0.3003 | 0.9494 | 0 |
| 0.1940 | 0.1394 | 0.4620 | 0.4907 | 0.4759 | 0.9572 | 1 |
| 0.1445 | 0.1298 | 0.4545 | 0.4969 | 0.4748 | 0.9589 | 2 |
| 0.1326 | 0.1298 | 0.4545 | 0.4969 | 0.4748 | 0.9589 | 3 |
| 0.1334 | 0.1298 | 0.4545 | 0.4969 | 0.4748 | 0.9589 | 4 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3
