--- base_model: victor/autotrain-donut-vs-croissant-1417653460 tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: donat-croissant results: - task: name: Image Classification type: image-classification dataset: name: imagefolder type: imagefolder config: default split: validation args: default metrics: - name: Accuracy type: accuracy value: 0.988950276243094 --- # donat-croissant This model is a fine-tuned version of [victor/autotrain-donut-vs-croissant-1417653460](https://huggingface.co/victor/autotrain-donut-vs-croissant-1417653460) on the imagefolder dataset. It achieves the following results on the evaluation set: - Loss: 0.0189 - Accuracy: 0.9890 ## 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-05 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results ### Framework versions - Transformers 4.37.2 - Pytorch 2.1.0+cu121 - Datasets 2.17.1 - Tokenizers 0.15.2