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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# model

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: 0.3215
- Accuracy: 0.9594

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 122  | 2.0600          | 0.5594   |
| No log        | 2.0   | 244  | 1.3525          | 0.7844   |
| No log        | 3.0   | 366  | 0.9400          | 0.8812   |
| No log        | 4.0   | 488  | 0.6653          | 0.9344   |
| 1.295         | 5.0   | 610  | 0.5045          | 0.9469   |
| 1.295         | 6.0   | 732  | 0.4192          | 0.9594   |
| 1.295         | 7.0   | 854  | 0.3692          | 0.9563   |
| 1.295         | 8.0   | 976  | 0.3445          | 0.9563   |
| 0.2942        | 9.0   | 1098 | 0.3258          | 0.9563   |
| 0.2942        | 10.0  | 1220 | 0.3215          | 0.9594   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0