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TamerAbdelaziz/distilbert-base-uncased-finetuned-IMDB_BERT_11
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: 0.0094
- Validation Loss: 0.3097
- Train Accuracy: 0.9364
- 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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 6250, '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}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|---|---|---|---|
| 0.2466 | 0.1804 | 0.9314 | 0 |
| 0.1417 | 0.1824 | 0.9324 | 1 |
| 0.0892 | 0.2208 | 0.9268 | 2 |
| 0.0532 | 0.2212 | 0.9348 | 3 |
| 0.0328 | 0.2518 | 0.936 | 4 |
| 0.0218 | 0.2750 | 0.9358 | 5 |
| 0.0185 | 0.2856 | 0.9338 | 6 |
| 0.0147 | 0.3055 | 0.935 | 7 |
| 0.0113 | 0.3060 | 0.9352 | 8 |
| 0.0094 | 0.3097 | 0.9364 | 9 |
Framework versions
- Transformers 4.33.2
- TensorFlow 2.8.1
- Datasets 2.14.5
- Tokenizers 0.13.3
