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xlm-roberta-base-VietNam-aug_replace_vi
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: 0.4570
- Accuracy: 0.81
- F1: 0.7899
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: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
0.996 | 1.0 | 76 | 0.8824 | 0.58 | 0.4258 |
0.8331 | 2.0 | 152 | 0.6596 | 0.8 | 0.7466 |
0.6019 | 3.0 | 228 | 0.6321 | 0.8 | 0.7465 |
0.4534 | 4.0 | 304 | 0.4265 | 0.82 | 0.8108 |
0.3936 | 5.0 | 380 | 0.4570 | 0.81 | 0.7899 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3