metadata
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: xlm-roberta-base-Balance_VietNam-aug_backtranslation
results: []
xlm-roberta-base-Balance_VietNam-aug_backtranslation
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: 1.4647
- Accuracy: 0.72
- F1: 0.7259
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: 8
- eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|
| 1.0083 | 1.0 | 171 | 0.7886 | 0.65 | 0.5804 |
| 0.7346 | 2.0 | 342 | 0.7384 | 0.74 | 0.7475 |
| 0.576 | 3.0 | 513 | 0.8149 | 0.75 | 0.7542 |
| 0.4336 | 4.0 | 684 | 0.9012 | 0.71 | 0.7134 |
| 0.3396 | 5.0 | 855 | 1.0458 | 0.75 | 0.7543 |
| 0.2803 | 6.0 | 1026 | 1.4087 | 0.72 | 0.7248 |
| 0.2288 | 7.0 | 1197 | 1.4577 | 0.72 | 0.7258 |
| 0.2062 | 8.0 | 1368 | 1.4647 | 0.72 | 0.7259 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3