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S1d-dha-nth3/ncert_bio
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: 2.6150
- Validation Loss: 2.5873
- 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': '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': -647, '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: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 3.5434 | 2.8928 | 0 |
| 2.9142 | 2.6476 | 1 |
| 2.6884 | 2.5008 | 2 |
| 2.6079 | 2.5775 | 3 |
| 2.5748 | 2.5737 | 4 |
| 2.6031 | 2.5074 | 5 |
| 2.6237 | 2.5028 | 6 |
| 2.5849 | 2.5862 | 7 |
| 2.6154 | 2.4751 | 8 |
| 2.5584 | 2.4866 | 9 |
| 2.6107 | 2.5268 | 10 |
| 2.5852 | 2.5659 | 11 |
| 2.5915 | 2.5768 | 12 |
| 2.5678 | 2.7020 | 13 |
| 2.6150 | 2.5873 | 14 |
Framework versions
- Transformers 4.22.1
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1
