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nikoslefkos/rebert_trex
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6521
- Train Accuracy: 0.8002
- Validation Loss: 1.1666
- Validation Accuracy: 0.6841
- Epoch: 4
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': 0.01, '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': 1e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
|---|---|---|---|---|
| 1.8042 | 0.5813 | 1.2407 | 0.6611 | 0 |
| 1.2242 | 0.6688 | 1.1395 | 0.6737 | 1 |
| 1.0374 | 0.7036 | 1.1110 | 0.6830 | 2 |
| 0.8852 | 0.7382 | 1.1467 | 0.6788 | 3 |
| 0.6521 | 0.8002 | 1.1666 | 0.6841 | 4 |
Framework versions
- Transformers 4.33.2
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3
