4L_weight_decay
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1312
- Precision: 0.7006
- Recall: 0.6863
- F1: 0.6934
- Accuracy: 0.9524
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|
| 0.157 | 1.0 | 5561 | 0.1464 | 0.6943 | 0.6153 | 0.6524 | 0.9465 |
| 0.1454 | 2.0 | 11122 | 0.1396 | 0.6921 | 0.6491 | 0.6699 | 0.9486 |
| 0.1414 | 3.0 | 16683 | 0.1372 | 0.6841 | 0.6746 | 0.6793 | 0.9492 |
| 0.1335 | 4.0 | 22244 | 0.1339 | 0.6997 | 0.6617 | 0.6802 | 0.9505 |
| 0.1308 | 5.0 | 27805 | 0.1339 | 0.6963 | 0.6763 | 0.6862 | 0.9510 |
| 0.1285 | 6.0 | 33366 | 0.1320 | 0.7102 | 0.6639 | 0.6863 | 0.9519 |
| 0.1257 | 7.0 | 38927 | 0.1306 | 0.7031 | 0.6771 | 0.6898 | 0.9521 |
| 0.1222 | 8.0 | 44488 | 0.1324 | 0.7005 | 0.6836 | 0.6919 | 0.9522 |
| 0.1207 | 9.0 | 50049 | 0.1313 | 0.7017 | 0.6832 | 0.6923 | 0.9524 |
| 0.1195 | 10.0 | 55610 | 0.1312 | 0.7006 | 0.6863 | 0.6934 | 0.9524 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
