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soumya13/GPT2_CleanDesc_MAKE_v1.2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0328
- Validation Loss: 0.0013
- Train Accuracy: 1.0
- 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': 3090, '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 |
|---|---|---|---|
| 1.3273 | 0.8888 | 0.825 | 0 |
| 0.5318 | 0.4344 | 0.9 | 1 |
| 0.2698 | 0.1237 | 0.95 | 2 |
| 0.1233 | 0.0866 | 0.95 | 3 |
| 0.0594 | 0.0243 | 1.0 | 4 |
| 0.0474 | 0.0099 | 1.0 | 5 |
| 0.0232 | 0.0056 | 1.0 | 6 |
| 0.0254 | 0.0027 | 1.0 | 7 |
| 0.0236 | 0.0016 | 1.0 | 8 |
| 0.0328 | 0.0013 | 1.0 | 9 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3
