efficientnet_v2_s_full_pcb / config_tree.log
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CONFIG
β”œβ”€β”€ data
β”‚ └── _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: 10
β”‚ step_size: 10
β”‚ iterate_over_defective_areas: true
β”‚ save_every_second_good_tile: true
β”‚
β”œβ”€β”€ model
β”‚ └── _target_: src.models.training_module.TrainingLitModule
β”‚ optimizer:
β”‚ _target_: torch.optim.Adam
β”‚ _partial_: true
β”‚ lr: 0.0028369961259166574
β”‚ weight_decay: 0.0
β”‚ scheduler:
β”‚ _target_: torch.optim.lr_scheduler.ReduceLROnPlateau
β”‚ _partial_: true
β”‚ mode: min
β”‚ factor: 0.1
β”‚ patience: 10
β”‚ net:
β”‚ _target_: src.models.components.cnn_cam_multihead.CNNCAMMultihead
β”‚ backbone: efficientnet_v2_s
β”‚ multi_head: false
β”‚ return_nodes:
β”‚ features.7: layerout
β”‚ weights: IMAGENET1K_V1
β”‚ compile: false
β”‚
β”œβ”€β”€ callbacks
β”‚ └── model_checkpoint:
β”‚ _target_: lightning.pytorch.callbacks.ModelCheckpoint
β”‚ dirpath: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-12_07-27-45/2/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”‚
β”œβ”€β”€ logger
β”‚ └── csv:
β”‚ _target_: lightning.pytorch.loggers.csv_logs.CSVLogger
β”‚ save_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-12_07-27-45/2
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/2024-03-12_07-27-45/2
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”‚ - efficientnet_v2_s
β”‚ job_type: ''
β”‚ aim:
β”‚ experiment: efficientnet_v2_s_pcb
β”‚
β”œβ”€β”€ trainer
β”‚ └── _target_: lightning.pytorch.trainer.Trainer
β”‚ default_root_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-12_07-27-45/2
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”‚
β”œβ”€β”€ paths
β”‚ └── 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/2024-03-12_07-27-45/2
β”‚ work_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain
β”‚
β”œβ”€β”€ extras
β”‚ └── ignore_warnings: false
β”‚ enforce_tags: true
β”‚ print_config: true
β”‚
β”œβ”€β”€ task_name
β”‚ └── train
β”œβ”€β”€ tags
β”‚ └── ['pcb', 'efficientnet_v2_s']
β”œβ”€β”€ train
β”‚ └── True
β”œβ”€β”€ test
β”‚ └── True
β”œβ”€β”€ ckpt_path
β”‚ └── None
β”œβ”€β”€ seed
β”‚ └── 12345
└── optimized_metric
└── val/acc_best