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AIYIYA/my_wr3
This model is a fine-tuned version of bert-base-chinese on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.1315
- Validation Loss: 1.1418
- Train Accuracy: 0.8158
- Epoch: 14
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': 90, '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 |
|---|---|---|---|
| 3.0206 | 2.6776 | 0.2895 | 0 |
| 2.6896 | 2.4286 | 0.7105 | 1 |
| 2.4102 | 2.1955 | 0.6579 | 2 |
| 2.1850 | 1.9989 | 0.7368 | 3 |
| 1.9867 | 1.8181 | 0.6842 | 4 |
| 1.8059 | 1.6320 | 0.7368 | 5 |
| 1.5830 | 1.5359 | 0.8158 | 6 |
| 1.5184 | 1.4081 | 0.7895 | 7 |
| 1.4472 | 1.3072 | 0.8421 | 8 |
| 1.3197 | 1.2605 | 0.8158 | 9 |
| 1.2258 | 1.2182 | 0.8158 | 10 |
| 1.2182 | 1.1752 | 0.8158 | 11 |
| 1.1015 | 1.1583 | 0.8158 | 12 |
| 1.1387 | 1.1463 | 0.8158 | 13 |
| 1.1315 | 1.1418 | 0.8158 | 14 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
