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syp1229/roberta-base-finetuned-koidiom-epoch5
This model is a fine-tuned version of klue/roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.9099
- Validation Loss: 1.8647
- 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 2.4941 | 2.0442 | 0 |
| 2.1324 | 1.9281 | 1 |
| 2.0266 | 1.8105 | 2 |
| 1.9568 | 1.8450 | 3 |
| 1.9099 | 1.8647 | 4 |
Framework versions
- Transformers 4.19.1
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1
