--- library_name: transformers license: apache-2.0 base_model: Qwen/Qwen2-1.5B tags: - generated_from_trainer metrics: - accuracy model-index: - name: fine_tuned_wp results: [] --- # fine_tuned_wp 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: 0.0726 - Accuracy: 0.9872 ## 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: 8 - eval_batch_size: 8 - 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 | |:-------------:|:------:|:----:|:---------------:|:--------:| | 0.844 | 0.0285 | 100 | 0.3602 | 0.8626 | | 0.4928 | 0.0570 | 200 | 0.3831 | 0.9166 | | 0.2699 | 0.0856 | 300 | 0.2540 | 0.9682 | | 0.2095 | 0.1141 | 400 | 0.0900 | 0.9753 | | 0.1506 | 0.1426 | 500 | 0.0991 | 0.9801 | | 0.1505 | 0.1711 | 600 | 0.0511 | 0.9894 | | 0.0973 | 0.1997 | 700 | 0.1396 | 0.9750 | | 0.1486 | 0.2282 | 800 | 0.0892 | 0.9692 | | 0.1458 | 0.2567 | 900 | 0.0726 | 0.9872 | ### Framework versions - Transformers 4.49.0 - Pytorch 2.6.0+cu126 - Datasets 3.3.2 - Tokenizers 0.21.0