---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: xlm-roberta-base-Mixed-replace-vi
  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-Mixed-replace-vi

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: 1.6016
- Accuracy: 0.8018
- F1: 0.7987

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.1619        | 1.0   | 294  | 1.2621          | 0.7882   | 0.7966 |
| 0.1296        | 2.0   | 588  | 1.3555          | 0.7973   | 0.8000 |
| 0.1191        | 3.0   | 882  | 1.4282          | 0.7837   | 0.7902 |
| 0.0991        | 4.0   | 1176 | 1.3073          | 0.7958   | 0.7980 |
| 0.0478        | 5.0   | 1470 | 1.5468          | 0.7988   | 0.7996 |
| 0.0527        | 6.0   | 1764 | 1.4876          | 0.7988   | 0.8033 |
| 0.0528        | 7.0   | 2058 | 1.4934          | 0.8064   | 0.8012 |
| 0.0474        | 8.0   | 2352 | 1.5715          | 0.8079   | 0.8047 |
| 0.04          | 9.0   | 2646 | 1.5777          | 0.8033   | 0.7978 |
| 0.0266        | 10.0  | 2940 | 1.6016          | 0.8018   | 0.7987 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3