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xlm-roberta-base-Final_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: 0.9906
- Accuracy: 0.71
- F1: 0.7119
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 |
|---|---|---|---|---|---|
| 1.038 | 1.0 | 84 | 0.8786 | 0.63 | 0.5228 |
| 0.771 | 2.0 | 168 | 0.7814 | 0.64 | 0.5924 |
| 0.6191 | 3.0 | 252 | 0.7443 | 0.68 | 0.6826 |
| 0.4635 | 4.0 | 336 | 0.7460 | 0.67 | 0.6738 |
| 0.3419 | 5.0 | 420 | 0.9737 | 0.67 | 0.6624 |
| 0.2808 | 6.0 | 504 | 0.9263 | 0.7 | 0.7065 |
| 0.2058 | 7.0 | 588 | 0.9756 | 0.7 | 0.7034 |
| 0.1681 | 8.0 | 672 | 0.9906 | 0.71 | 0.7119 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
