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xlm-roberta-base-Final_VietNam-aug_delete-2
This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8464
- Accuracy: 0.68
- F1: 0.6845
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: 16
- eval_batch_size: 16
- seed: 40
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.0599 | 1.0 | 87 | 0.9398 | 0.53 | 0.4615 |
| 0.7781 | 2.0 | 174 | 0.7588 | 0.65 | 0.6405 |
| 0.6771 | 3.0 | 261 | 0.7271 | 0.68 | 0.6828 |
| 0.5317 | 4.0 | 348 | 0.6991 | 0.7 | 0.7113 |
| 0.4389 | 5.0 | 435 | 0.6845 | 0.71 | 0.7092 |
| 0.3377 | 6.0 | 522 | 0.8429 | 0.7 | 0.7013 |
| 0.2595 | 7.0 | 609 | 0.8166 | 0.68 | 0.6870 |
| 0.2211 | 8.0 | 696 | 0.8464 | 0.68 | 0.6845 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
