---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: PhoBERT-aug_replace_synonym-aug_insert_w2v
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# PhoBERT-aug_replace_synonym-aug_insert_w2v

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: 1.3269
- Accuracy: 0.68
- F1: 0.6858

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.895         | 1.0   | 85   | 0.7598          | 0.65     | 0.5672 |
| 0.5508        | 2.0   | 170  | 0.7204          | 0.69     | 0.6897 |
| 0.3688        | 3.0   | 255  | 0.8039          | 0.72     | 0.7133 |
| 0.2403        | 4.0   | 340  | 0.9418          | 0.66     | 0.6672 |
| 0.1453        | 5.0   | 425  | 1.1062          | 0.67     | 0.6755 |
| 0.1089        | 6.0   | 510  | 1.2567          | 0.68     | 0.6834 |
| 0.0843        | 7.0   | 595  | 1.3071          | 0.67     | 0.6755 |
| 0.0779        | 8.0   | 680  | 1.3269          | 0.68     | 0.6858 |


### Framework versions

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