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

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: 0.6744
- Accuracy: 0.7498

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.5837        | 0.0322 | 100  | 0.4305          | 0.8946   |
| 0.4321        | 0.0644 | 200  | 0.3573          | 0.9167   |
| 0.3123        | 0.0966 | 300  | 0.7352          | 0.8979   |
| 0.2957        | 0.1287 | 400  | 0.2162          | 0.9153   |
| 0.234         | 0.1609 | 500  | 0.2174          | 0.9450   |
| 0.1454        | 0.1931 | 600  | 0.1396          | 0.9587   |
| 0.265         | 0.2253 | 700  | 0.1031          | 0.9526   |
| 0.1734        | 0.2575 | 800  | 0.1756          | 0.9569   |
| 0.1896        | 0.2897 | 900  | 0.1828          | 0.9591   |
| 0.1723        | 0.3219 | 1000 | 0.6744          | 0.7498   |


### Framework versions

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