| license: mit | |
| base_model: naver-clova-ix/donut-base | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - imagefolder | |
| model-index: | |
| - name: PolizzeDonut-SoloPDF-3Epochs-tot | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # PolizzeDonut-SoloPDF-3Epochs-tot | |
| This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.3961 | |
| ## 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: 2 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 1.4661 | 1.0 | 235 | 0.5521 | | |
| | 0.5774 | 2.0 | 470 | 0.4226 | | |
| | 0.4595 | 3.0 | 705 | 0.3961 | | |
| ### Framework versions | |
| - Transformers 4.38.2 | |
| - Pytorch 2.2.1+cu121 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 | |