| library_name: transformers | |
| license: apache-2.0 | |
| base_model: Qwen/Qwen2-1.5B | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - f1 | |
| model-index: | |
| - name: gating_network_qwen | |
| 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 | |
| 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: 0.1874 | |
| - Accuracy: 0.9548 | |
| - F1: 0.9526 | |
| ## 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 | F1 | | |
| |:-------------:|:------:|:----:|:---------------:|:--------:|:------:| | |
| | 0.673 | 0.0111 | 100 | 0.2750 | 0.9185 | 0.9178 | | |
| | 0.2584 | 0.0223 | 200 | 0.2737 | 0.9353 | 0.9321 | | |
| | 0.2229 | 0.0334 | 300 | 0.1795 | 0.9597 | 0.9590 | | |
| | 0.2101 | 0.0446 | 400 | 0.1874 | 0.9548 | 0.9526 | | |
| ### Framework versions | |
| - Transformers 4.49.0 | |
| - Pytorch 2.6.0+cu126 | |
| - Datasets 3.3.2 | |
| - Tokenizers 0.21.0 | |