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

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: 1.1984
- Accuracy: 0.71
- F1: 0.7177

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.8731        | 1.0   | 87   | 0.6799          | 0.72     | 0.7020 |
| 0.5385        | 2.0   | 174  | 0.5962          | 0.77     | 0.7754 |
| 0.3391        | 3.0   | 261  | 0.7283          | 0.74     | 0.7477 |
| 0.213         | 4.0   | 348  | 0.8581          | 0.72     | 0.7272 |
| 0.155         | 5.0   | 435  | 1.0390          | 0.72     | 0.7288 |
| 0.1173        | 6.0   | 522  | 1.1048          | 0.71     | 0.7190 |
| 0.0895        | 7.0   | 609  | 1.1713          | 0.72     | 0.7272 |
| 0.066         | 8.0   | 696  | 1.1984          | 0.71     | 0.7177 |


### Framework versions

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