--- tags: - generated_from_trainer datasets: - imagefolder model-index: - name: donut-base-sroie results: [] --- # donut-base-sroie This model was trained from scratch on the imagefolder dataset. It achieves the following results on the evaluation set: - Loss: 1.5314 ## 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: 2 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.6691 | 1.0 | 69 | 1.4307 | | 1.2955 | 2.0 | 138 | 1.4857 | | 0.3205 | 3.0 | 207 | 1.4528 | | 0.4622 | 4.0 | 276 | 1.3993 | | 0.8009 | 5.0 | 345 | 1.4648 | | 1.1553 | 6.0 | 414 | 1.4508 | | 0.6056 | 7.0 | 483 | 1.4568 | | 0.1881 | 8.0 | 552 | 1.4941 | | 0.7731 | 9.0 | 621 | 1.5314 | ### Framework versions - Transformers 4.34.1 - Pytorch 2.1.0+cu118 - Datasets 2.14.5 - Tokenizers 0.14.1