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xlm-roberta-base-Final_VietNam-aug_insert_synonym
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: 1.0797
- Accuracy: 0.76
- F1: 0.7646
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 |
|---|---|---|---|---|---|
| 1.0701 | 1.0 | 87 | 1.0366 | 0.52 | 0.4318 |
| 0.867 | 2.0 | 174 | 0.7789 | 0.68 | 0.6607 |
| 0.6041 | 3.0 | 261 | 0.7027 | 0.71 | 0.7149 |
| 0.4334 | 4.0 | 348 | 0.7618 | 0.74 | 0.7429 |
| 0.3054 | 5.0 | 435 | 0.7701 | 0.72 | 0.7208 |
| 0.2288 | 6.0 | 522 | 0.9844 | 0.72 | 0.7249 |
| 0.1817 | 7.0 | 609 | 1.0040 | 0.73 | 0.7358 |
| 0.1369 | 8.0 | 696 | 1.0797 | 0.76 | 0.7646 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
