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dung1308/RM_system_not_mixed__NLP_model
This model is a fine-tuned version of vinai/phobert-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 4.2670
- Validation Loss: 4.3108
- Epoch: 12
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': -517, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'passive_serialization': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 5.4281 | 4.6304 | 0 |
| 4.5092 | 4.2831 | 1 |
| 4.2234 | 4.2641 | 2 |
| 4.2383 | 4.3122 | 3 |
| 4.2406 | 4.2459 | 4 |
| 4.2113 | 4.2687 | 5 |
| 4.2721 | 4.2425 | 6 |
| 4.3064 | 4.2370 | 7 |
| 4.2685 | 4.2999 | 8 |
| 4.3104 | nan | 9 |
| 4.2444 | 4.2957 | 10 |
| 4.2041 | 4.2465 | 11 |
| 4.2670 | 4.3108 | 12 |
Framework versions
- Transformers 4.24.0
- TensorFlow 2.9.2
- Datasets 2.7.1
- Tokenizers 0.13.2
