---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: PhoBERT-Final_Mixed-aug_insert_BERT-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# PhoBERT-Final_Mixed-aug_insert_BERT-1

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: 1.2876
- Accuracy: 0.66
- F1: 0.6737

## 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: 41
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.8758        | 1.0   | 87   | 0.7479          | 0.67     | 0.6552 |
| 0.5767        | 2.0   | 174  | 0.6555          | 0.74     | 0.7384 |
| 0.4132        | 3.0   | 261  | 0.7503          | 0.75     | 0.7532 |
| 0.2927        | 4.0   | 348  | 0.8208          | 0.68     | 0.6890 |
| 0.2246        | 5.0   | 435  | 1.0222          | 0.68     | 0.6927 |
| 0.1536        | 6.0   | 522  | 1.1675          | 0.67     | 0.6839 |
| 0.1218        | 7.0   | 609  | 1.2362          | 0.66     | 0.6737 |
| 0.1142        | 8.0   | 696  | 1.2876          | 0.66     | 0.6737 |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3