| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: Qwen/Qwen2-1.5B |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: fine_tuned_all_domains |
| 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 |
| |
| 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: 0.1512 |
| - Accuracy: 0.9386 |
| |
| ## 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: 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: 3 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:------:|:----:|:---------------:|:--------:| |
| | 0.5166 | 0.0111 | 100 | 0.2467 | 0.8979 | |
| | 0.2611 | 0.0223 | 200 | 0.2322 | 0.9157 | |
| | 0.2354 | 0.0334 | 300 | 0.1831 | 0.9220 | |
| | 0.1962 | 0.0446 | 400 | 0.2122 | 0.9222 | |
| | 0.1877 | 0.0557 | 500 | 0.3002 | 0.8910 | |
| | 0.1907 | 0.0669 | 600 | 0.1490 | 0.9431 | |
| | 0.1567 | 0.0780 | 700 | 0.1964 | 0.9239 | |
| | 0.1878 | 0.0891 | 800 | 0.1819 | 0.9274 | |
| | 0.1788 | 0.1003 | 900 | 0.1512 | 0.9386 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.49.0 |
| - Pytorch 2.6.0+cu126 |
| - Datasets 3.3.2 |
| - Tokenizers 0.21.0 |
| |
