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xlm-roberta-base-Final_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: 0.7562
- Accuracy: 0.69
- F1: 0.6976
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 |
|---|---|---|---|---|---|
| 1.0985 | 1.0 | 44 | 1.0870 | 0.41 | 0.2928 |
| 0.9394 | 2.0 | 88 | 0.8415 | 0.66 | 0.6161 |
| 0.7884 | 3.0 | 132 | 0.8431 | 0.65 | 0.5722 |
| 0.6681 | 4.0 | 176 | 0.7143 | 0.68 | 0.6702 |
| 0.5849 | 5.0 | 220 | 0.7463 | 0.72 | 0.7155 |
| 0.4916 | 6.0 | 264 | 0.7391 | 0.7 | 0.7032 |
| 0.4252 | 7.0 | 308 | 0.7351 | 0.72 | 0.7195 |
| 0.3756 | 8.0 | 352 | 0.7562 | 0.69 | 0.6976 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
