---
library_name: transformers
license: other
base_model: Qwen/Qwen1.5-1.8B
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_all_domains_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_all_domains_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: 0.1147
- Accuracy: 0.9703

## 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 |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.1945        | 0.0860 | 500  | 0.4187          | 0.8732   |
| 0.171         | 0.1720 | 1000 | 0.1541          | 0.9371   |
| 0.1235        | 0.2580 | 1500 | 0.1469          | 0.9451   |
| 0.1233        | 0.3441 | 2000 | 0.1433          | 0.9532   |
| 0.1109        | 0.4301 | 2500 | 0.1395          | 0.9541   |
| 0.108         | 0.5161 | 3000 | 0.1134          | 0.9622   |
| 0.0864        | 0.6021 | 3500 | 0.1452          | 0.9649   |
| 0.0743        | 0.6881 | 4000 | 0.1336          | 0.9676   |
| 0.0637        | 0.7741 | 4500 | 0.1147          | 0.9703   |


### Framework versions

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