---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: xlm-roberta-base-New_VietNam-aug_insert_synonym
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# xlm-roberta-base-New_VietNam-aug_insert_synonym

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: 1.0069
- Accuracy: 0.69
- F1: 0.7005

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.0846        | 1.0   | 43   | 0.9691          | 0.59     | 0.4903 |
| 0.8237        | 2.0   | 86   | 0.7961          | 0.64     | 0.6370 |
| 0.6422        | 3.0   | 129  | 0.7569          | 0.71     | 0.7145 |
| 0.515         | 4.0   | 172  | 0.7775          | 0.71     | 0.7151 |
| 0.4099        | 5.0   | 215  | 0.8224          | 0.69     | 0.6970 |
| 0.3239        | 6.0   | 258  | 0.8941          | 0.69     | 0.7013 |
| 0.2709        | 7.0   | 301  | 0.8975          | 0.68     | 0.6907 |
| 0.2011        | 8.0   | 344  | 0.9745          | 0.7      | 0.7120 |
| 0.1795        | 9.0   | 387  | 1.0128          | 0.7      | 0.7120 |
| 0.158         | 10.0  | 430  | 1.0069          | 0.69     | 0.7005 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3