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xlm-roberta-base-Final_VietNam-aug_insert_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: 1.1592
- Accuracy: 0.72
- F1: 0.7269
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: 41
- 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 |
|---|---|---|---|---|---|
| 0.9839 | 1.0 | 87 | 0.7510 | 0.63 | 0.5632 |
| 0.6788 | 2.0 | 174 | 0.7245 | 0.71 | 0.7109 |
| 0.5471 | 3.0 | 261 | 0.7273 | 0.66 | 0.6683 |
| 0.3945 | 4.0 | 348 | 0.7304 | 0.72 | 0.7261 |
| 0.3062 | 5.0 | 435 | 0.9655 | 0.73 | 0.7360 |
| 0.2197 | 6.0 | 522 | 0.9765 | 0.73 | 0.7357 |
| 0.1692 | 7.0 | 609 | 1.1266 | 0.73 | 0.7357 |
| 0.1331 | 8.0 | 696 | 1.1592 | 0.72 | 0.7269 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
