| CONFIG |
| βββ data |
| β βββ _target_: src.data.dir_datamodule.DirDataModule |
| β data_dir: /media/gpu0/data/lukas/magistras/data/pcb/ |
| β train_subdir: train/ |
| β val_subdir: val/ |
| β test_subdir: test/ |
| β image_subdir: images/ |
| β label_subdir: labels/ |
| β batch_size: 64 |
| β num_workers: 10 |
| β pin_memory: false |
| β preprocessor: |
| β _target_: src.data.components.tile_processor.TilingProcessor |
| β tile_width: 224 |
| β tile_height: 224 |
| β min_defective_area: 0.01 |
| β overlap: 2 |
| β step_size: 10 |
| β iterate_over_defective_areas: false |
| β save_every_second_good_tile: true |
| β |
| βββ model |
| β βββ _target_: src.models.training_module.TrainingLitModule |
| β optimizer: |
| β _target_: torch.optim.AdamW |
| β _partial_: true |
| β lr: 8.09857128646671e-05 |
| β weight_decay: 0.0 |
| β scheduler: null |
| β net: |
| β _target_: src.models.components.vit_rollout_multihead.VitRolloutMultihead |
| β model_name: deit_tiny_patch16_224.fb_in1k |
| β pretrained: true |
| β weight_path: null |
| β output_size: 1 |
| β return_nodes: attn_drop |
| β head_name: head |
| β img_size: 224 |
| β discard_ratio: 0.2 |
| β head_fusion: mean |
| β visualize: false |
| β compile: false |
| β |
| βββ callbacks |
| β βββ model_checkpoint: |
| β _target_: lightning.pytorch.callbacks.ModelCheckpoint |
| β dirpath: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-17_23-37-48/9/checkpoints |
| β filename: epoch_{epoch:03d} |
| β monitor: val/acc |
| β verbose: false |
| β save_last: true |
| β save_top_k: 1 |
| β mode: max |
| β auto_insert_metric_name: false |
| β save_weights_only: false |
| β every_n_train_steps: null |
| β train_time_interval: null |
| β every_n_epochs: null |
| β save_on_train_epoch_end: null |
| β early_stopping: |
| β _target_: lightning.pytorch.callbacks.EarlyStopping |
| β monitor: val/acc |
| β min_delta: 0.0 |
| β patience: 100 |
| β verbose: false |
| β mode: max |
| β strict: true |
| β check_finite: true |
| β stopping_threshold: null |
| β divergence_threshold: null |
| β check_on_train_epoch_end: null |
| β model_summary: |
| β _target_: lightning.pytorch.callbacks.RichModelSummary |
| β max_depth: -1 |
| β rich_progress_bar: |
| β _target_: lightning.pytorch.callbacks.RichProgressBar |
| β |
| βββ logger |
| β βββ csv: |
| β _target_: lightning.pytorch.loggers.csv_logs.CSVLogger |
| β save_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-17_23-37-48/9 |
| β name: csv/ |
| β prefix: '' |
| β wandb: |
| β _target_: lightning.pytorch.loggers.wandb.WandbLogger |
| β save_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-17_23-37-48/9 |
| β offline: false |
| β id: null |
| β anonymous: null |
| β project: DeepVisionXplain |
| β log_model: false |
| β prefix: '' |
| β entity: team_deepvisionxplain |
| β group: pcb" |
| β tags: |
| β - pcb |
| β - deit_tiny_patch16_224.fb_in1k |
| β job_type: '' |
| β aim: |
| β experiment: deit_tiny_patch16_224.fb_in1k_pcb |
| β |
| βββ trainer |
| β βββ _target_: lightning.pytorch.trainer.Trainer |
| β default_root_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-17_23-37-48/9 |
| β min_epochs: 10 |
| β max_epochs: 20 |
| β accelerator: gpu |
| β devices: 1 |
| β check_val_every_n_epoch: 1 |
| β deterministic: false |
| β |
| βββ paths |
| β βββ root_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain |
| β data_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/data/ |
| β log_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/ |
| β output_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-17_23-37-48/9 |
| β work_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain |
| β |
| βββ extras |
| β βββ ignore_warnings: false |
| β enforce_tags: true |
| β print_config: true |
| β |
| βββ task_name |
| β βββ train |
| βββ tags |
| β βββ ['pcb', 'deit_tiny_patch16_224.fb_in1k'] |
| βββ train |
| β βββ True |
| βββ test |
| β βββ True |
| βββ ckpt_path |
| β βββ None |
| βββ seed |
| β βββ 12345 |
| βββ optimized_metric |
| βββ val/acc_best |
|
|