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xlm-roberta-base-Final_VietNam-aug_replace_synonym-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: 1.0605
- Accuracy: 0.73
- F1: 0.7346
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 |
|---|---|---|---|---|---|
| 1.092 | 1.0 | 86 | 1.0033 | 0.62 | 0.5336 |
| 0.8592 | 2.0 | 172 | 0.8078 | 0.63 | 0.5677 |
| 0.6352 | 3.0 | 258 | 0.6841 | 0.74 | 0.7420 |
| 0.4932 | 4.0 | 344 | 0.6997 | 0.75 | 0.7531 |
| 0.3758 | 5.0 | 430 | 0.8225 | 0.73 | 0.7319 |
| 0.2618 | 6.0 | 516 | 0.9079 | 0.73 | 0.7330 |
| 0.1898 | 7.0 | 602 | 1.0244 | 0.73 | 0.7346 |
| 0.1735 | 8.0 | 688 | 1.0605 | 0.73 | 0.7346 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
