---
library_name: transformers
license: other
base_model: Qwen/Qwen1.5-1.8B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_per_domain_balanced_1.5
  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_per_domain_balanced_1.5

This model is a fine-tuned version of [Qwen/Qwen1.5-1.8B](https://huggingface.co/Qwen/Qwen1.5-1.8B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0842
- Accuracy: 0.9714

## 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: 5e-06
- 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: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.1807        | 0.0915 | 500  | 0.3355          | 0.8881   |
| 0.1387        | 0.1831 | 1000 | 0.1860          | 0.9293   |
| 0.1443        | 0.2746 | 1500 | 0.1421          | 0.9418   |
| 0.1143        | 0.3662 | 2000 | 0.1273          | 0.9517   |
| 0.1103        | 0.4577 | 2500 | 0.1393          | 0.9490   |
| 0.1049        | 0.5492 | 3000 | 0.1159          | 0.9606   |
| 0.0809        | 0.6408 | 3500 | 0.1267          | 0.9526   |
| 0.0896        | 0.7323 | 4000 | 0.1104          | 0.9606   |
| 0.0758        | 0.8239 | 4500 | 0.1341          | 0.9633   |
| 0.0811        | 0.9154 | 5000 | 0.0842          | 0.9714   |


### Framework versions

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