my_awesome_swag_model
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6955
- Accuracy: 0.9304
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|
| No log | 1.0 | 347 | 1.9247 | 0.5565 |
| 2.1957 | 2.0 | 694 | 1.8741 | 0.5739 |
| 1.669 | 3.0 | 1041 | 1.3841 | 0.6522 |
| 1.669 | 4.0 | 1388 | 1.3004 | 0.7391 |
| 1.5076 | 5.0 | 1735 | 1.1071 | 0.8087 |
| 0.9475 | 6.0 | 2082 | 0.8683 | 0.8435 |
| 0.9475 | 7.0 | 2429 | 0.7487 | 0.8609 |
| 0.4713 | 8.0 | 2776 | 0.7383 | 0.8870 |
| 0.2741 | 9.0 | 3123 | 0.7910 | 0.8957 |
| 0.2741 | 10.0 | 3470 | 0.7189 | 0.9043 |
| 0.1831 | 11.0 | 3817 | 0.6801 | 0.9304 |
| 0.0457 | 12.0 | 4164 | 0.6955 | 0.9304 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
