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

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: 1.2161
- Accuracy: 0.71
- F1: 0.7189

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.8589        | 1.0   | 86   | 0.7220          | 0.68     | 0.6539 |
| 0.5437        | 2.0   | 172  | 0.6511          | 0.76     | 0.7644 |
| 0.3487        | 3.0   | 258  | 0.7482          | 0.72     | 0.7220 |
| 0.2285        | 4.0   | 344  | 0.8176          | 0.73     | 0.7394 |
| 0.1601        | 5.0   | 430  | 1.0206          | 0.72     | 0.7276 |
| 0.1113        | 6.0   | 516  | 1.1598          | 0.72     | 0.7272 |
| 0.1011        | 7.0   | 602  | 1.1584          | 0.7      | 0.7077 |
| 0.0837        | 8.0   | 688  | 1.2161          | 0.71     | 0.7189 |


### Framework versions

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