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xlm-roberta-base-New_VietNam-aug_replace_tfidf-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: 1.7117
- Accuracy: 0.72
- F1: 0.7243
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 |
|---|---|---|---|---|---|
| 0.6313 | 1.0 | 87 | 0.7969 | 0.71 | 0.7115 |
| 0.4645 | 2.0 | 174 | 1.0239 | 0.71 | 0.7162 |
| 0.3749 | 3.0 | 261 | 1.1471 | 0.7 | 0.7040 |
| 0.2849 | 4.0 | 348 | 1.1840 | 0.7 | 0.7037 |
| 0.1899 | 5.0 | 435 | 1.5476 | 0.69 | 0.6965 |
| 0.1527 | 6.0 | 522 | 1.6098 | 0.73 | 0.7291 |
| 0.1248 | 7.0 | 609 | 1.6892 | 0.72 | 0.7240 |
| 0.0861 | 8.0 | 696 | 1.7117 | 0.72 | 0.7243 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
