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

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: 0.2855
- Accuracy: 0.9328

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.927         | 0.0170 | 100  | 0.4956          | 0.7806   |
| 0.5634        | 0.0340 | 200  | 0.4637          | 0.8044   |
| 0.4876        | 0.0509 | 300  | 0.7024          | 0.8648   |
| 0.4179        | 0.0679 | 400  | 0.3941          | 0.8944   |
| 0.4397        | 0.0849 | 500  | 0.5622          | 0.8291   |
| 0.3985        | 0.1019 | 600  | 0.3185          | 0.8997   |
| 0.4607        | 0.1188 | 700  | 0.4404          | 0.8942   |
| 0.4023        | 0.1358 | 800  | 0.2967          | 0.9091   |
| 0.3185        | 0.1528 | 900  | 0.3033          | 0.8980   |
| 0.335         | 0.1698 | 1000 | 0.2653          | 0.9232   |
| 0.3665        | 0.1868 | 1100 | 0.2280          | 0.9246   |
| 0.3033        | 0.2037 | 1200 | 0.1975          | 0.9320   |
| 0.2578        | 0.2207 | 1300 | 0.2171          | 0.9341   |
| 0.3417        | 0.2377 | 1400 | 0.2497          | 0.9301   |
| 0.3222        | 0.2547 | 1500 | 0.2855          | 0.9328   |


### Framework versions

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