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xlm-roberta-base-New_VietNam-train
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: 0.7840
- Accuracy: 0.78
- F1: 0.7830
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: 8
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
1.1178 | 1.0 | 44 | 1.1001 | 0.29 | 0.1304 |
1.0582 | 2.0 | 88 | 0.8611 | 0.61 | 0.5351 |
0.785 | 3.0 | 132 | 0.7492 | 0.66 | 0.6077 |
0.6226 | 4.0 | 176 | 0.6252 | 0.77 | 0.7733 |
0.556 | 5.0 | 220 | 0.7098 | 0.76 | 0.7588 |
0.4362 | 6.0 | 264 | 0.7221 | 0.78 | 0.7828 |
0.4027 | 7.0 | 308 | 0.7879 | 0.74 | 0.7410 |
0.3534 | 8.0 | 352 | 0.7840 | 0.78 | 0.7830 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3