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xlm-roberta-base-VietNam-aug_insert_w2v
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: 0.6143
- Accuracy: 0.79
- 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 |
---|---|---|---|---|---|
0.83 | 1.0 | 86 | 0.5667 | 0.8 | 0.7483 |
0.5568 | 2.0 | 172 | 0.6045 | 0.83 | 0.7806 |
0.4236 | 3.0 | 258 | 0.4172 | 0.8 | 0.7923 |
0.3205 | 4.0 | 344 | 0.5486 | 0.8 | 0.7881 |
0.2463 | 5.0 | 430 | 0.6143 | 0.79 | 0.7805 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3