---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2-1.5B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_wp
  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. -->

# fine_tuned_wp

This model is a fine-tuned version of [Qwen/Qwen2-1.5B](https://huggingface.co/Qwen/Qwen2-1.5B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0726
- Accuracy: 0.9872

## 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: 8
- eval_batch_size: 8
- 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: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.844         | 0.0285 | 100  | 0.3602          | 0.8626   |
| 0.4928        | 0.0570 | 200  | 0.3831          | 0.9166   |
| 0.2699        | 0.0856 | 300  | 0.2540          | 0.9682   |
| 0.2095        | 0.1141 | 400  | 0.0900          | 0.9753   |
| 0.1506        | 0.1426 | 500  | 0.0991          | 0.9801   |
| 0.1505        | 0.1711 | 600  | 0.0511          | 0.9894   |
| 0.0973        | 0.1997 | 700  | 0.1396          | 0.9750   |
| 0.1486        | 0.2282 | 800  | 0.0892          | 0.9692   |
| 0.1458        | 0.2567 | 900  | 0.0726          | 0.9872   |


### Framework versions

- Transformers 4.49.0
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.21.0