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ratish/GPT2_CleanDesc_Fault-No_Fault_v1.3
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.3170
- Validation Loss: 0.3696
- Train Accuracy: 0.8974
- 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', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 3040, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, '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 |
|---|---|---|---|
| 0.9392 | 0.6046 | 0.6410 | 0 |
| 0.6261 | 0.5169 | 0.7692 | 1 |
| 0.5918 | 0.5108 | 0.7436 | 2 |
| 0.5610 | 0.4920 | 0.7179 | 3 |
| 0.5464 | 0.4895 | 0.7692 | 4 |
| 0.5153 | 0.4677 | 0.7179 | 5 |
| 0.4647 | 0.4019 | 0.8205 | 6 |
| 0.4231 | 0.3616 | 0.7692 | 7 |
| 0.3828 | 0.3766 | 0.7949 | 8 |
| 0.3170 | 0.3696 | 0.8974 | 9 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
