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

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

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: 0.5182
- Accuracy: 0.8713
- F1: 0.8710

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5631        | 1.0   | 25   | 0.4327          | 0.8119   | 0.8105 |
| 0.3123        | 2.0   | 50   | 0.4440          | 0.8020   | 0.7971 |
| 0.1806        | 3.0   | 75   | 0.4117          | 0.8515   | 0.8518 |
| 0.1107        | 4.0   | 100  | 0.4446          | 0.8614   | 0.8607 |
| 0.0729        | 5.0   | 125  | 0.4965          | 0.8713   | 0.8710 |
| 0.0473        | 6.0   | 150  | 0.4914          | 0.8812   | 0.8799 |
| 0.049         | 7.0   | 175  | 0.5021          | 0.8713   | 0.8710 |
| 0.0255        | 8.0   | 200  | 0.5182          | 0.8713   | 0.8710 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3