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xlm-roberta-base-Final_VietNam-train-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: 0.8740
- Accuracy: 0.68
- F1: 0.6882
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 |
|---|---|---|---|---|---|
| 1.1143 | 1.0 | 44 | 1.0936 | 0.4 | 0.4041 |
| 0.9843 | 2.0 | 88 | 0.8262 | 0.63 | 0.6167 |
| 0.7312 | 3.0 | 132 | 0.7333 | 0.7 | 0.6919 |
| 0.5899 | 4.0 | 176 | 0.8261 | 0.7 | 0.7020 |
| 0.4922 | 5.0 | 220 | 0.7399 | 0.71 | 0.7145 |
| 0.435 | 6.0 | 264 | 0.8382 | 0.64 | 0.6530 |
| 0.375 | 7.0 | 308 | 0.8675 | 0.7 | 0.7047 |
| 0.3161 | 8.0 | 352 | 0.8740 | 0.68 | 0.6882 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
