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xlm-roberta-base-New_VietNam-train-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: 0.9382
- Accuracy: 0.71
- F1: 0.7149
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 |
|---|---|---|---|---|---|
| 1.0757 | 1.0 | 44 | 0.9819 | 0.54 | 0.4764 |
| 0.9029 | 2.0 | 88 | 0.7825 | 0.66 | 0.6195 |
| 0.7055 | 3.0 | 132 | 0.7774 | 0.67 | 0.6585 |
| 0.5871 | 4.0 | 176 | 0.8691 | 0.68 | 0.6717 |
| 0.4873 | 5.0 | 220 | 0.7771 | 0.73 | 0.7331 |
| 0.3833 | 6.0 | 264 | 0.8852 | 0.67 | 0.6744 |
| 0.3449 | 7.0 | 308 | 0.9458 | 0.66 | 0.6694 |
| 0.3099 | 8.0 | 352 | 0.9382 | 0.71 | 0.7149 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
