| --- |
| library_name: transformers |
| license: other |
| base_model: Qwen/Qwen1.5-1.8B |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: gating_network_qwen_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. --> |
|
|
| # gating_network_qwen_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: 0.0545 |
| - Accuracy: 0.9883 |
| - F1: 0.9876 |
| |
| ## 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: 16 |
| - eval_batch_size: 16 |
| - 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 | F1 | |
| |:-------------:|:------:|:----:|:---------------:|:--------:|:------:| |
| | 0.311 | 0.0252 | 500 | 0.2788 | 0.9236 | 0.9216 | |
| | 0.2235 | 0.0503 | 1000 | 0.1763 | 0.9604 | 0.9591 | |
| | 0.1546 | 0.0755 | 1500 | 0.1805 | 0.9694 | 0.9692 | |
| | 0.1278 | 0.1006 | 2000 | 0.1261 | 0.9784 | 0.9779 | |
| | 0.0893 | 0.1258 | 2500 | 0.1286 | 0.9784 | 0.9788 | |
| | 0.0652 | 0.1510 | 3000 | 0.1357 | 0.9793 | 0.9787 | |
| | 0.0706 | 0.1761 | 3500 | 0.0899 | 0.9865 | 0.9864 | |
| | 0.0551 | 0.2013 | 4000 | 0.1000 | 0.9856 | 0.9849 | |
| | 0.0508 | 0.2264 | 4500 | 0.0662 | 0.9865 | 0.9859 | |
| | 0.0757 | 0.2516 | 5000 | 0.0883 | 0.9847 | 0.9840 | |
| | 0.0611 | 0.2768 | 5500 | 0.1417 | 0.9802 | 0.9797 | |
| | 0.0432 | 0.3019 | 6000 | 0.0545 | 0.9883 | 0.9876 | |
| | 0.0459 | 0.3271 | 6500 | 0.0732 | 0.9874 | 0.9870 | |
| | 0.0597 | 0.3522 | 7000 | 0.0711 | 0.9883 | 0.9883 | |
| | 0.0367 | 0.3774 | 7500 | 0.0742 | 0.9883 | 0.9884 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.49.0 |
| - Pytorch 2.6.0+cu126 |
| - Datasets 3.3.2 |
| - Tokenizers 0.21.0 |
| |
