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xlm-roberta-base-New_VietNam-aug_swap-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: 1.0905
- Accuracy: 0.71
- F1: 0.7188
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 |
|---|---|---|---|---|---|
| 1.0296 | 1.0 | 86 | 0.8380 | 0.63 | 0.5245 |
| 0.7549 | 2.0 | 172 | 0.7621 | 0.67 | 0.6630 |
| 0.5459 | 3.0 | 258 | 0.8527 | 0.67 | 0.6701 |
| 0.4274 | 4.0 | 344 | 0.8442 | 0.71 | 0.7131 |
| 0.2929 | 5.0 | 430 | 0.9154 | 0.69 | 0.6995 |
| 0.2086 | 6.0 | 516 | 1.0227 | 0.71 | 0.7191 |
| 0.1671 | 7.0 | 602 | 1.0829 | 0.71 | 0.7191 |
| 0.1421 | 8.0 | 688 | 1.0905 | 0.71 | 0.7188 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
