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xlm-roberta-base-Balance_VietNam-aug_insert_w2v
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: 0.8223
- Accuracy: 0.73
- F1: 0.7349
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 |
|---|---|---|---|---|---|
| 1.0709 | 1.0 | 87 | 0.9441 | 0.56 | 0.5255 |
| 0.9032 | 2.0 | 174 | 0.7216 | 0.65 | 0.5885 |
| 0.7586 | 3.0 | 261 | 0.6999 | 0.74 | 0.7382 |
| 0.6773 | 4.0 | 348 | 0.7020 | 0.7 | 0.7013 |
| 0.5627 | 5.0 | 435 | 0.7242 | 0.72 | 0.7128 |
| 0.4603 | 6.0 | 522 | 0.7668 | 0.7 | 0.7052 |
| 0.3853 | 7.0 | 609 | 0.8019 | 0.73 | 0.7365 |
| 0.3405 | 8.0 | 696 | 0.8223 | 0.73 | 0.7349 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
