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xlm-roberta-base-New_VietNam-aug_replace_w2v-1
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: 1.0760
- Accuracy: 0.73
- F1: 0.7316
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: 42
- 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 |
|---|---|---|---|---|---|
| 1.0605 | 1.0 | 84 | 0.9570 | 0.55 | 0.4830 |
| 0.7614 | 2.0 | 168 | 0.7075 | 0.68 | 0.6682 |
| 0.5718 | 3.0 | 252 | 0.7353 | 0.74 | 0.7413 |
| 0.4409 | 4.0 | 336 | 0.7226 | 0.73 | 0.7346 |
| 0.3768 | 5.0 | 420 | 0.7989 | 0.76 | 0.7612 |
| 0.2887 | 6.0 | 504 | 0.8930 | 0.74 | 0.7424 |
| 0.2218 | 7.0 | 588 | 1.0373 | 0.74 | 0.7429 |
| 0.1798 | 8.0 | 672 | 1.0760 | 0.73 | 0.7316 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
