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

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

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: 0.8851
- Accuracy: 0.73
- F1: 0.7367

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.9637        | 1.0   | 87   | 0.7521          | 0.66     | 0.6279 |
| 0.7073        | 2.0   | 174  | 0.6823          | 0.72     | 0.7205 |
| 0.5577        | 3.0   | 261  | 0.6414          | 0.77     | 0.7756 |
| 0.4318        | 4.0   | 348  | 0.6921          | 0.72     | 0.7282 |
| 0.3264        | 5.0   | 435  | 0.7072          | 0.75     | 0.7582 |
| 0.2414        | 6.0   | 522  | 0.8043          | 0.72     | 0.7275 |
| 0.1956        | 7.0   | 609  | 0.8481          | 0.72     | 0.7297 |
| 0.1621        | 8.0   | 696  | 0.8851          | 0.73     | 0.7367 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3