---
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: PhoBERT-cls-detail-in-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-detail-in-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: 0.3094
- Accuracy: 0.95
- F1: 0.9362

## 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     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 1.5216        | 1.0   | 25   | 1.2500          | 0.55     | 0.4060 |
| 1.0902        | 2.0   | 50   | 0.8313          | 0.84     | 0.7876 |
| 0.7423        | 3.0   | 75   | 0.5513          | 0.91     | 0.8830 |
| 0.5438        | 4.0   | 100  | 0.4305          | 0.92     | 0.9021 |
| 0.4456        | 5.0   | 125  | 0.3661          | 0.95     | 0.9359 |
| 0.3774        | 6.0   | 150  | 0.3363          | 0.95     | 0.9362 |
| 0.3396        | 7.0   | 175  | 0.3161          | 0.95     | 0.9362 |
| 0.321         | 8.0   | 200  | 0.3094          | 0.95     | 0.9362 |


### Framework versions

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