--- license: other base_model: Qwen/Qwen1.5-1.8B tags: - generated_from_trainer metrics: - accuracy model-index: - name: Qwen1.5_1.8B_amazon results: [] --- # Qwen1.5_1.8B_amazon 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: 0.5073 - Accuracy: 0.8524 - F1 Macro: 0.8290 - F1 Micro: 0.8524 ## 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 - distributed_type: multi-GPU - num_devices: 2 - total_train_batch_size: 32 - total_eval_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro | |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:| | 1.5641 | 0.13 | 50 | 1.2905 | 0.6476 | 0.5589 | 0.6476 | | 0.744 | 0.26 | 100 | 0.7994 | 0.7694 | 0.7166 | 0.7694 | | 0.7245 | 0.39 | 150 | 0.6846 | 0.7997 | 0.7450 | 0.7997 | | 0.6491 | 0.53 | 200 | 0.6406 | 0.8155 | 0.7679 | 0.8155 | | 0.6193 | 0.66 | 250 | 0.5427 | 0.8399 | 0.7970 | 0.8399 | | 0.4828 | 0.79 | 300 | 0.5453 | 0.8366 | 0.8114 | 0.8366 | | 0.6122 | 0.92 | 350 | 0.5073 | 0.8524 | 0.8290 | 0.8524 | ### Framework versions - Transformers 4.39.0.dev0 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2