---
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: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xlm-roberta-base-Balance_VietNam-aug_backtranslation

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/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