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Aliissa99/test1
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0323
- Validation Loss: 3.5297
- Train Accuracy: 0.2927
- 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': 5e-05, 'decay_steps': 740, '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 |
|---|---|---|---|
| 1.3890 | 1.3861 | 0.3232 | 0 |
| 1.3806 | 1.4063 | 0.2805 | 1 |
| 1.3070 | 1.3859 | 0.2622 | 2 |
| 1.0716 | 1.3617 | 0.3232 | 3 |
| 0.5850 | 2.1415 | 0.2866 | 4 |
| 0.2355 | 2.4630 | 0.3049 | 5 |
| 0.1029 | 3.2950 | 0.2805 | 6 |
| 0.0465 | 3.6229 | 0.2805 | 7 |
| 0.0486 | 3.6676 | 0.2927 | 8 |
| 0.0323 | 3.5297 | 0.2927 | 9 |
Framework versions
- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3
