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xlm-roberta-base-VietNam-aug_replace_PhoBERT
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: 0.5278
- Accuracy: 0.83
- F1: 0.7805
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 |
---|---|---|---|---|---|
0.9668 | 1.0 | 86 | 0.9357 | 0.58 | 0.4258 |
0.9106 | 2.0 | 172 | 0.8870 | 0.7 | 0.6364 |
0.7074 | 3.0 | 258 | 0.4854 | 0.85 | 0.7965 |
0.6037 | 4.0 | 344 | 0.4921 | 0.82 | 0.7725 |
0.536 | 5.0 | 430 | 0.5278 | 0.83 | 0.7805 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3