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CR_ELECTRA_5E
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:
- Loss: 0.3778
- Accuracy: 0.9133
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:
- learning_rate: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.643 | 0.33 | 50 | 0.6063 | 0.66 |
| 0.5093 | 0.66 | 100 | 0.4277 | 0.84 |
| 0.2986 | 0.99 | 150 | 0.3019 | 0.8933 |
| 0.2343 | 1.32 | 200 | 0.2910 | 0.9 |
| 0.1808 | 1.66 | 250 | 0.2892 | 0.9133 |
| 0.1922 | 1.99 | 300 | 0.3397 | 0.8867 |
| 0.1623 | 2.32 | 350 | 0.2847 | 0.92 |
| 0.1206 | 2.65 | 400 | 0.2918 | 0.9133 |
| 0.1518 | 2.98 | 450 | 0.3163 | 0.9067 |
| 0.1029 | 3.31 | 500 | 0.3667 | 0.8867 |
| 0.1133 | 3.64 | 550 | 0.3562 | 0.9067 |
| 0.0678 | 3.97 | 600 | 0.3394 | 0.9067 |
| 0.0461 | 4.3 | 650 | 0.3821 | 0.9067 |
| 0.0917 | 4.64 | 700 | 0.3774 | 0.9133 |
| 0.0633 | 4.97 | 750 | 0.3778 | 0.9133 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.13.0
- Datasets 2.3.2
- Tokenizers 0.13.1
