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xlm-roberta-base-Balance_VietNam-aug_replace
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: 1.2066
- Accuracy: 0.73
- F1: 0.7343
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 |
|---|---|---|---|---|---|
| 0.9738 | 1.0 | 80 | 0.7444 | 0.63 | 0.6194 |
| 0.6114 | 2.0 | 160 | 0.7346 | 0.7 | 0.7038 |
| 0.4766 | 3.0 | 240 | 0.7925 | 0.73 | 0.7252 |
| 0.3645 | 4.0 | 320 | 0.9242 | 0.73 | 0.7277 |
| 0.2435 | 5.0 | 400 | 0.9359 | 0.73 | 0.7309 |
| 0.1871 | 6.0 | 480 | 1.1349 | 0.72 | 0.7300 |
| 0.1459 | 7.0 | 560 | 1.2205 | 0.72 | 0.7254 |
| 0.1412 | 8.0 | 640 | 1.2066 | 0.73 | 0.7343 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
