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anblaca/distilbert-base-uncased-finetuned-cola
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: 0.0554
- Validation Loss: 0.7352
- Train Matthews Correlation: 0.5527
- 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': True, 'is_legacy_optimizer': False, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 1e-05, 'decay_steps': 5340, '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 Matthews Correlation | Epoch |
|---|---|---|---|
| 0.5340 | 0.4729 | 0.4572 | 0 |
| 0.3683 | 0.4697 | 0.4962 | 1 |
| 0.2461 | 0.4949 | 0.5198 | 2 |
| 0.1779 | 0.5853 | 0.5147 | 3 |
| 0.1329 | 0.6182 | 0.5169 | 4 |
| 0.1060 | 0.6323 | 0.5533 | 5 |
| 0.0792 | 0.6943 | 0.5335 | 6 |
| 0.0738 | 0.6713 | 0.5448 | 7 |
| 0.0582 | 0.7277 | 0.5492 | 8 |
| 0.0554 | 0.7352 | 0.5527 | 9 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.9.0
- Tokenizers 0.13.2
