---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: PhoBERT-Final_Mixed-aug_delete-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# PhoBERT-Final_Mixed-aug_delete-1

This model is a fine-tuned version of [vinai/phobert-base-v2](https://huggingface.co/vinai/phobert-base-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2856
- Accuracy: 0.67
- F1: 0.6793

## 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: 41
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.8888        | 1.0   | 87   | 0.7251          | 0.66     | 0.6234 |
| 0.5843        | 2.0   | 174  | 0.6946          | 0.72     | 0.7261 |
| 0.3911        | 3.0   | 261  | 0.7680          | 0.68     | 0.6867 |
| 0.2678        | 4.0   | 348  | 0.8719          | 0.69     | 0.7012 |
| 0.1904        | 5.0   | 435  | 1.0179          | 0.7      | 0.7063 |
| 0.1384        | 6.0   | 522  | 1.1530          | 0.72     | 0.7264 |
| 0.1254        | 7.0   | 609  | 1.2665          | 0.69     | 0.6976 |
| 0.0992        | 8.0   | 696  | 1.2856          | 0.67     | 0.6793 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3