| resume_from_checkpoint_path: None | |
| result_path: './result' | |
| pretrained_model_name_or_path: 'naver-clova-ix/donut-base' | |
| dataset_name_or_paths: | |
| - '/home/dbhattacharya/Dev/teld/datasets/invoice_data_200/preprocessed_data' | |
| sort_json_key: False | |
| train_batch_sizes: | |
| - 1 | |
| val_batch_sizes: | |
| - 1 | |
| input_size: | |
| - 1280 | |
| - 960 | |
| max_length: 768 | |
| align_long_axis: False | |
| num_nodes: 1 | |
| seed: 2022 | |
| lr: 3e-05 | |
| warmup_steps: 30 | |
| num_training_samples_per_epoch: 100 | |
| max_epochs: 7 | |
| max_steps: -1 | |
| num_workers: 8 | |
| val_check_interval: 1.0 | |
| check_val_every_n_epoch: 1 | |
| gradient_clip_val: 1.0 | |
| verbose: True | |
| exp_name: 'train_invoice' | |
| exp_version: 'invoice_finetuning_2' |