893 Images Json

--- library_name: transformers license: mit base_model: naver-clova-ix/donut-base tags: - generated_from_trainer model-index: - name: 893_Images_Json results: [] --- # 893_Images_Json This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.4844 ## 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: 1 - eval_batch_size: 1 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 4 - 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 - lr_scheduler_warmup_steps: 100 - num_epochs: 15 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-------:|:----:|:---------------:| | 13.6598 | 1.0754 | 200 | 2.7064 | | 6.6749 | 2.1507 | 400 | 1.5175 | | 3.6877 | 3.2261 | 600 | 0.8923 | | 2.1001 | 4.3015 | 800 | 0.6686 | | 1.6768 | 5.3769 | 1000 | 0.5783 | | 1.3900 | 6.4522 | 1200 | 0.5409 | | 1.1434 | 7.5276 | 1400 | 0.5079 | | 0.9839 | 8.6030 | 1600 | 0.5004 | | 0.8089 | 9.6783 | 1800 | 0.4942 | | 0.7735 | 10.7537 | 2000 | 0.4867 | | 0.7466 | 11.8291 | 2200 | 0.4888 | | 0.7352 | 12.9044 | 2400 | 0.4861 | | 0.6183 | 13.9798 | 2600 | 0.4840 | | 0.5964 | 15.0 | 2790 | 0.4844 | ### Framework versions - Transformers 5.10.1 - Pytorch 2.11.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2