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ratish/DBERT_ZS_Desc_MAKE_v1.3.2
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: 0.0137
- Validation Loss: 0.0064
- Train Accuracy: 1.0
- Epoch: 16
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': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5840, '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 |
|---|---|---|---|
| 1.3970 | 0.8544 | 1.0 | 0 |
| 0.7415 | 0.3259 | 1.0 | 1 |
| 0.3675 | 0.1510 | 1.0 | 2 |
| 0.2087 | 0.0871 | 1.0 | 3 |
| 0.1323 | 0.0579 | 1.0 | 4 |
| 0.0931 | 0.0413 | 1.0 | 5 |
| 0.0695 | 0.0315 | 1.0 | 6 |
| 0.0544 | 0.0246 | 1.0 | 7 |
| 0.0428 | 0.0199 | 1.0 | 8 |
| 0.0355 | 0.0165 | 1.0 | 9 |
| 0.0298 | 0.0140 | 1.0 | 10 |
| 0.0259 | 0.0120 | 1.0 | 11 |
| 0.0219 | 0.0104 | 1.0 | 12 |
| 0.0194 | 0.0091 | 1.0 | 13 |
| 0.0176 | 0.0080 | 1.0 | 14 |
| 0.0152 | 0.0071 | 1.0 | 15 |
| 0.0137 | 0.0064 | 1.0 | 16 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3
