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ibraweeb/my_awesome_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: 0.0460
- Validation Loss: 0.2176
- Train Accuracy: 0.9348
- 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': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 7810, '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 |
|---|---|---|---|
| 0.2347 | 0.1765 | 0.9316 | 0 |
| 0.1100 | 0.1945 | 0.9336 | 1 |
| 0.0460 | 0.2176 | 0.9348 | 2 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.10.1
- Datasets 2.13.0
- Tokenizers 0.13.3
