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HuaMua/multiclass_uncased
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: 0.0441
- Train Accuracy: 0.9889
- 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': 1.0, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 5520.0, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Epoch |
|---|---|---|
| 2.4367 | 0.2636 | 0 |
| 1.8241 | 0.4556 | 1 |
| 1.2873 | 0.6209 | 2 |
| 0.8699 | 0.7518 | 3 |
| 0.5556 | 0.8399 | 4 |
| 0.3474 | 0.9013 | 5 |
| 0.2017 | 0.9495 | 6 |
| 0.1181 | 0.9706 | 7 |
| 0.0635 | 0.9855 | 8 |
| 0.0441 | 0.9889 | 9 |
Framework versions
- Transformers 4.34.0.dev0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.0
