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

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: 1.1713
- Accuracy: 0.69
- F1: 0.6970

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.8557        | 1.0   | 86   | 0.7842          | 0.7      | 0.6993 |
| 0.5489        | 2.0   | 172  | 0.6702          | 0.74     | 0.7413 |
| 0.3877        | 3.0   | 258  | 0.8122          | 0.68     | 0.6807 |
| 0.2813        | 4.0   | 344  | 0.8146          | 0.73     | 0.7413 |
| 0.1919        | 5.0   | 430  | 0.9890          | 0.71     | 0.7218 |
| 0.1669        | 6.0   | 516  | 1.0436          | 0.68     | 0.6876 |
| 0.1423        | 7.0   | 602  | 1.1447          | 0.69     | 0.6976 |
| 0.103         | 8.0   | 688  | 1.1713          | 0.69     | 0.6970 |


### Framework versions

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