---
library_name: transformers
license: agpl-3.0
base_model: vinai/phobert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: PhoBert_Lexical_CITA
  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. -->

# PhoBert_Lexical_CITA

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: 0.6736
- Accuracy: 0.783
- F1: 0.7825

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.5393        | 1.0   | 250  | 0.4700          | 0.7695   | 0.7680 |
| 0.4508        | 2.0   | 500  | 0.4686          | 0.7735   | 0.7735 |
| 0.3951        | 3.0   | 750  | 0.4711          | 0.78     | 0.7800 |
| 0.3402        | 4.0   | 1000 | 0.4895          | 0.7845   | 0.7846 |
| 0.2947        | 5.0   | 1250 | 0.5293          | 0.782    | 0.7815 |
| 0.2516        | 6.0   | 1500 | 0.5567          | 0.7775   | 0.7773 |
| 0.2199        | 7.0   | 1750 | 0.5993          | 0.787    | 0.7857 |
| 0.192         | 8.0   | 2000 | 0.6361          | 0.7825   | 0.7816 |
| 0.1705        | 9.0   | 2250 | 0.6498          | 0.7835   | 0.7834 |
| 0.1526        | 10.0  | 2500 | 0.6736          | 0.783    | 0.7825 |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.21.0