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xlm-roberta-base-Final_VietNam-aug_replace_BERT-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: 0.6983
- Accuracy: 0.73
- F1: 0.7337
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 |
|---|---|---|---|---|---|
| 1.0732 | 1.0 | 87 | 1.0154 | 0.54 | 0.4487 |
| 0.9821 | 2.0 | 174 | 0.8279 | 0.63 | 0.6060 |
| 0.8118 | 3.0 | 261 | 0.7501 | 0.66 | 0.6519 |
| 0.7278 | 4.0 | 348 | 0.6890 | 0.73 | 0.7285 |
| 0.6158 | 5.0 | 435 | 0.7055 | 0.66 | 0.6604 |
| 0.5639 | 6.0 | 522 | 0.6927 | 0.69 | 0.6909 |
| 0.4855 | 7.0 | 609 | 0.6941 | 0.72 | 0.7251 |
| 0.4694 | 8.0 | 696 | 0.6983 | 0.73 | 0.7337 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
