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email_classification
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0713
- Accuracy: 0.8
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5863 | 1.0 | 53 | 0.4392 | 0.8 |
| 0.4309 | 2.0 | 106 | 0.2701 | 0.8667 |
| 0.2365 | 3.0 | 159 | 0.3916 | 0.8667 |
| 0.0959 | 4.0 | 212 | 0.4507 | 0.8889 |
| 0.0755 | 5.0 | 265 | 0.6764 | 0.8667 |
| 0.0756 | 6.0 | 318 | 1.0713 | 0.8 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
