Ashraf-kasem/gpt2_fine_tune_with_callback_PolynomialDecay
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.9746
- Train Accuracy: 0.0063
- Validation Loss: 4.3079
- Validation Accuracy: 0.0044
- 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': 5e-05, 'decay_steps': 14676, '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-07, 'amsgrad': False}
- training_precision: mixed_float16
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 4.6420 | 0.0092 | 4.4445 | 0.0056 | 0 |
| 4.1331 | 0.0067 | 4.3297 | 0.0047 | 1 |
| 3.9746 | 0.0063 | 4.3079 | 0.0044 | 2 |
Framework versions
- Transformers 4.25.1
- TensorFlow 2.9.0
- Datasets 2.8.0
- Tokenizers 0.13.2