---
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_phishlang
  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_phishlang

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: 0.5782
- Accuracy: 0.8522
- F1: 0.8479

## 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     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.394         | 1.0   | 1138  | 0.3920          | 0.8461   | 0.8317 |
| 0.3426        | 2.0   | 2276  | 0.3672          | 0.8560   | 0.8488 |
| 0.3002        | 3.0   | 3414  | 0.3716          | 0.8560   | 0.8501 |
| 0.263         | 4.0   | 4552  | 0.3634          | 0.8597   | 0.8521 |
| 0.2317        | 5.0   | 5690  | 0.4525          | 0.8562   | 0.8514 |
| 0.2021        | 6.0   | 6828  | 0.4590          | 0.8549   | 0.8501 |
| 0.1748        | 7.0   | 7966  | 0.4967          | 0.8509   | 0.8469 |
| 0.1599        | 8.0   | 9104  | 0.5520          | 0.8561   | 0.8516 |
| 0.1384        | 9.0   | 10242 | 0.5618          | 0.8510   | 0.8471 |
| 0.1291        | 10.0  | 11380 | 0.5782          | 0.8522   | 0.8479 |


### Framework versions

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