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xlm-roberta-base-Final_VietNam-aug_replace_synonym-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: 1.1150
- Accuracy: 0.7
- F1: 0.7043
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 |
|---|---|---|---|---|---|
| 0.9797 | 1.0 | 86 | 0.7643 | 0.69 | 0.6814 |
| 0.7133 | 2.0 | 172 | 0.6942 | 0.72 | 0.7190 |
| 0.5442 | 3.0 | 258 | 0.7180 | 0.7 | 0.6996 |
| 0.4045 | 4.0 | 344 | 0.9280 | 0.72 | 0.7240 |
| 0.2954 | 5.0 | 430 | 0.9419 | 0.68 | 0.6914 |
| 0.2222 | 6.0 | 516 | 1.0002 | 0.71 | 0.7164 |
| 0.1716 | 7.0 | 602 | 1.0722 | 0.71 | 0.7195 |
| 0.1527 | 8.0 | 688 | 1.1150 | 0.7 | 0.7043 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
