--- library_name: transformers tags: - generated_from_trainer model-index: - name: DonutInvoiceCzechTrainer results: [] --- # DonutInvoiceCzechTrainer This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.1206 ## 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: 5 - eval_batch_size: 1 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.1395 | 1.0 | 120 | 0.1531 | | 0.0867 | 2.0 | 240 | 0.1380 | | 0.0686 | 3.0 | 360 | 0.1360 | | 0.0543 | 4.0 | 480 | 0.1341 | | 0.0464 | 5.0 | 600 | 0.1307 | | 0.0336 | 6.0 | 720 | 0.1286 | | 0.0287 | 7.0 | 840 | 0.1221 | | 0.0229 | 8.0 | 960 | 0.1235 | | 0.0223 | 9.0 | 1080 | 0.1221 | | 0.0191 | 10.0 | 1200 | 0.1206 | ### Framework versions - Transformers 4.57.3 - Pytorch 2.9.0+cu126 - Datasets 4.0.0 - Tokenizers 0.22.1