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xlm-roberta-base-Final_VietNam-aug_insert_w2v-2
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: 1.1138
- Accuracy: 0.75
- F1: 0.7539
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: 40
- 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 |
|---|---|---|---|---|---|
| 1.0576 | 1.0 | 85 | 0.8693 | 0.6 | 0.5283 |
| 0.7822 | 2.0 | 170 | 0.8331 | 0.69 | 0.6665 |
| 0.6156 | 3.0 | 255 | 0.7210 | 0.72 | 0.7194 |
| 0.4447 | 4.0 | 340 | 0.8139 | 0.66 | 0.6645 |
| 0.3252 | 5.0 | 425 | 0.9348 | 0.67 | 0.6776 |
| 0.2105 | 6.0 | 510 | 0.9185 | 0.77 | 0.7718 |
| 0.1437 | 7.0 | 595 | 1.0530 | 0.75 | 0.7539 |
| 0.1479 | 8.0 | 680 | 1.1138 | 0.75 | 0.7539 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
