| resume_from_checkpoint_path: None | |
| result_path: './result' | |
| pretrained_model_name_or_path: 'naver-clova-ix/donut-base' | |
| dataset_name_or_paths: | |
| - 'jfargus/w9_cord_ltd_fields_phila_domain_v5' | |
| sort_json_key: True | |
| train_batch_sizes: | |
| - 4 | |
| val_batch_sizes: | |
| - 1 | |
| input_size: | |
| - 1280 | |
| - 960 | |
| max_length: 128 | |
| align_long_axis: False | |
| num_nodes: 1 | |
| seed: 2022 | |
| lr: 3e-05 | |
| num_training_samples_per_epoch: 2500 | |
| warmup_steps: 300 | |
| max_epochs: 4 | |
| max_steps: -1 | |
| num_workers: 4 | |
| val_check_interval: 1.0 | |
| check_val_every_n_epoch: 1 | |
| gradient_clip_val: 1.0 | |
| verbose: True | |
| limit_val_batches: 0.75 | |
| task_name: 'w9_cord' | |
| augment: True | |
| augment_prob: 0.75 | |
| pexels_key: 'GpOfCma7X0faYw2FldfWGymfzdCyPJ9AePbfQbLDp757QPU4IUPzGJc2' | |
| exp_name: 'train_w9_cord_stage_1' | |
| exp_version: '20250617_132202' |