---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-0.5B
tags:
- generated_from_trainer
metrics:
- accuracy
language:
- zho
- eng
- fra
- spa
- por
- deu
- ita
- rus
- jpn
- kor
- vie
- tha
- ara
model-index:
- name: phishing-text-classifier-qwen-2.5-0.5B
  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. -->

# phishing-text-classifier-qwen-2.5-0.5B

This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B](https://huggingface.co/Qwen/Qwen2.5-0.5B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3050
- Accuracy: 0.9870

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 4.7645        | 1.0   | 20   | 0.3860          | 0.8701   |
| 0.1787        | 2.0   | 40   | 0.0593          | 0.9805   |
| 0.098         | 3.0   | 60   | 0.5008          | 0.9545   |
| 0.0771        | 4.0   | 80   | 0.1787          | 0.9740   |
| 0.0151        | 5.0   | 100  | 0.2933          | 0.9740   |
| 0.0265        | 6.0   | 120  | 0.7513          | 0.9545   |
| 0.0024        | 7.0   | 140  | 0.4248          | 0.9805   |
| 0.0001        | 8.0   | 160  | 0.3518          | 0.9805   |
| 0.0           | 9.0   | 180  | 0.3060          | 0.9870   |
| 0.0           | 10.0  | 200  | 0.3050          | 0.9870   |


### Framework versions

- Transformers 4.51.1
- Pytorch 2.6.0
- Datasets 3.5.0
- Tokenizers 0.21.1