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Ashraf-kasem/custom_gpt2_frames_text
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.3938
- Validation Loss: 2.0834
- Epoch: 29
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': 188670, '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 | Validation Loss | Epoch |
|---|---|---|
| 5.4252 | 4.4731 | 0 |
| 4.1781 | 3.6928 | 1 |
| 3.5744 | 3.2572 | 2 |
| 3.1856 | 2.9789 | 3 |
| 2.9095 | 2.7887 | 4 |
| 2.6999 | 2.6534 | 5 |
| 2.5334 | 2.5484 | 6 |
| 2.3969 | 2.4706 | 7 |
| 2.2826 | 2.4102 | 8 |
| 2.1842 | 2.3518 | 9 |
| 2.0988 | 2.3096 | 10 |
| 2.0236 | 2.2740 | 11 |
| 1.9569 | 2.2443 | 12 |
| 1.8960 | 2.2214 | 13 |
| 1.8411 | 2.1954 | 14 |
| 1.7913 | 2.1815 | 15 |
| 1.7457 | 2.1652 | 16 |
| 1.7034 | 2.1552 | 17 |
| 1.6648 | 2.1398 | 18 |
| 1.6288 | 2.1289 | 19 |
| 1.5955 | 2.1213 | 20 |
| 1.5643 | 2.1114 | 21 |
| 1.5359 | 2.1071 | 22 |
| 1.5094 | 2.0998 | 23 |
| 1.4846 | 2.0942 | 24 |
| 1.4622 | 2.0911 | 25 |
| 1.4420 | 2.0893 | 26 |
| 1.4233 | 2.0879 | 27 |
| 1.4074 | 2.0838 | 28 |
| 1.3938 | 2.0834 | 29 |
Framework versions
- Transformers 4.25.1
- TensorFlow 2.9.0
- Datasets 2.8.0
- Tokenizers 0.13.2
