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syabusyabu0141/test4
This model is a fine-tuned version of google/electra-base-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.4116
- Validation Loss: 2.6504
- 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': 'AdamWeightDecay', 'learning_rate': 1e-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 |
|---|---|---|
| 4.4368 | 3.4249 | 0 |
| 3.0619 | 2.9944 | 1 |
| 2.6713 | 2.8195 | 2 |
| 2.4129 | 2.7323 | 3 |
| 2.1923 | 2.6734 | 4 |
| 2.0068 | 2.6374 | 5 |
| 1.8344 | 2.6294 | 6 |
| 1.6814 | 2.6238 | 7 |
| 1.5421 | 2.6312 | 8 |
| 1.4116 | 2.6504 | 9 |
Framework versions
- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1
