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xlm-roberta-base-Final_VietNam-aug_swap-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: 1.3156
- Accuracy: 0.7
- F1: 0.7110
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 |
---|---|---|---|---|---|
1.0268 | 1.0 | 86 | 0.8083 | 0.63 | 0.5894 |
0.7101 | 2.0 | 172 | 0.6674 | 0.69 | 0.6929 |
0.5087 | 3.0 | 258 | 0.6162 | 0.73 | 0.7307 |
0.3696 | 4.0 | 344 | 0.8465 | 0.73 | 0.7402 |
0.2762 | 5.0 | 430 | 1.1535 | 0.68 | 0.6936 |
0.2259 | 6.0 | 516 | 1.1493 | 0.7 | 0.7126 |
0.1323 | 7.0 | 602 | 1.2301 | 0.72 | 0.7304 |
0.1257 | 8.0 | 688 | 1.3156 | 0.7 | 0.7110 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3