---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: PhoBERT-Final_Mixed-aug_swap-2
  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_swap-2

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: 1.2624
- Accuracy: 0.71
- F1: 0.7075

## 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: 40
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.906         | 1.0   | 87   | 0.7880          | 0.67     | 0.6557 |
| 0.5944        | 2.0   | 174  | 0.8198          | 0.69     | 0.6786 |
| 0.4127        | 3.0   | 261  | 0.8044          | 0.71     | 0.7053 |
| 0.2719        | 4.0   | 348  | 0.9142          | 0.7      | 0.6980 |
| 0.1623        | 5.0   | 435  | 1.1387          | 0.71     | 0.7053 |
| 0.1255        | 6.0   | 522  | 1.1994          | 0.68     | 0.6762 |
| 0.1075        | 7.0   | 609  | 1.2626          | 0.68     | 0.6758 |
| 0.0696        | 8.0   | 696  | 1.2624          | 0.71     | 0.7075 |


### Framework versions

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