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  1. config_tree.log +138 -0
  2. epoch_018.ckpt +3 -0
  3. metrics.csv +42 -0
  4. tags.log +1 -0
config_tree.log ADDED
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+ CONFIG
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+ β”œβ”€β”€ data
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+ β”‚ └── _target_: src.data.dir_datamodule.DirDataModule
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+ β”‚ data_dir: /media/gpu0/data/lukas/magistras/data/pcb/
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+ β”‚ train_subdir: train/
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+ β”‚ val_subdir: val/
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+ β”‚ test_subdir: test/
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+ β”‚ image_subdir: images/
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+ β”‚ label_subdir: labels/
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+ β”‚ batch_size: 32
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+ β”‚ num_workers: 10
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+ β”‚ pin_memory: false
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+ β”‚ preprocessor:
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+ β”‚ _target_: src.data.components.tile_processor.TilingProcessor
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+ β”‚ tile_width: 224
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+ β”‚ tile_height: 224
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+ β”‚ min_defective_area: 0.01
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+ β”‚ overlap: 2
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+ β”‚ step_size: 10
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+ β”‚ iterate_over_defective_areas: false
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+ β”‚ save_every_second_good_tile: true
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+ β”‚
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+ β”œβ”€β”€ model
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+ β”‚ └── _target_: src.models.training_module.TrainingLitModule
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+ β”‚ optimizer:
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+ β”‚ _target_: torch.optim.AdamW
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+ β”‚ _partial_: true
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+ β”‚ lr: 7.151166416549227e-05
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+ β”‚ weight_decay: 0.0
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+ β”‚ scheduler: null
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+ β”‚ net:
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+ β”‚ _target_: src.models.components.vit_rollout_multihead.VitRolloutMultihead
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+ β”‚ model_name: vit_tiny_patch16_224.augreg_in21k_ft_in1k
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+ β”‚ pretrained: true
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+ β”‚ weight_path: null
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+ β”‚ output_size: 1
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+ β”‚ return_nodes: attn_drop
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+ β”‚ head_name: head
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+ β”‚ img_size: 224
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+ β”‚ discard_ratio: 0.2
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+ β”‚ head_fusion: mean
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+ β”‚ visualize: false
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+ β”‚ compile: false
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+ β”‚
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+ β”œβ”€β”€ callbacks
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+ β”‚ └── model_checkpoint:
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+ β”‚ _target_: lightning.pytorch.callbacks.ModelCheckpoint
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+ β”‚ dirpath: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-14_19-18-34/4/checkpoints
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+ β”‚ filename: epoch_{epoch:03d}
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+ β”‚ monitor: val/acc
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+ β”‚ verbose: false
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+ β”‚ save_last: true
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+ β”‚ save_top_k: 1
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+ β”‚ mode: max
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+ β”‚ auto_insert_metric_name: false
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+ β”‚ save_weights_only: false
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+ β”‚ every_n_train_steps: null
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+ β”‚ train_time_interval: null
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+ β”‚ every_n_epochs: null
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+ β”‚ save_on_train_epoch_end: null
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+ β”‚ early_stopping:
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+ β”‚ _target_: lightning.pytorch.callbacks.EarlyStopping
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+ β”‚ monitor: val/acc
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+ β”‚ min_delta: 0.0
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+ β”‚ patience: 100
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+ β”‚ verbose: false
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+ β”‚ mode: max
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+ β”‚ strict: true
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+ β”‚ check_finite: true
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+ β”‚ stopping_threshold: null
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+ β”‚ divergence_threshold: null
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+ β”‚ check_on_train_epoch_end: null
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+ β”‚ model_summary:
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+ β”‚ _target_: lightning.pytorch.callbacks.RichModelSummary
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+ β”‚ max_depth: -1
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+ β”‚ rich_progress_bar:
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+ β”‚ _target_: lightning.pytorch.callbacks.RichProgressBar
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+ β”‚
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+ β”œβ”€β”€ logger
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+ β”‚ └── csv:
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+ β”‚ _target_: lightning.pytorch.loggers.csv_logs.CSVLogger
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+ β”‚ save_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-14_19-18-34/4
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+ β”‚ name: csv/
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+ β”‚ prefix: ''
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+ β”‚ wandb:
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+ β”‚ _target_: lightning.pytorch.loggers.wandb.WandbLogger
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+ β”‚ save_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-14_19-18-34/4
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+ β”‚ offline: false
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+ β”‚ id: null
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+ β”‚ anonymous: null
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+ β”‚ project: DeepVisionXplain
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+ β”‚ log_model: false
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+ β”‚ prefix: ''
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+ β”‚ entity: team_deepvisionxplain
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+ β”‚ group: pcb"
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+ β”‚ tags:
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+ β”‚ - pcb
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+ β”‚ - vit_tiny_patch16_224.augreg_in21k_ft_in1k
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+ β”‚ job_type: ''
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+ β”‚ aim:
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+ β”‚ experiment: vit_tiny_patch16_224.augreg_in21k_ft_in1k_gears
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+ β”‚
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+ β”œβ”€β”€ trainer
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+ β”‚ └── _target_: lightning.pytorch.trainer.Trainer
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+ β”‚ default_root_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-14_19-18-34/4
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+ β”‚ min_epochs: 10
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+ β”‚ max_epochs: 20
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+ β”‚ accelerator: gpu
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+ β”‚ devices: 1
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+ β”‚ check_val_every_n_epoch: 1
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+ β”‚ deterministic: false
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+ β”‚
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+ β”œβ”€β”€ paths
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+ β”‚ └── root_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain
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+ β”‚ data_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/data/
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+ β”‚ log_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/
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+ β”‚ output_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-14_19-18-34/4
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+ β”‚ work_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain
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+ β”‚
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+ β”œβ”€β”€ extras
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+ β”‚ └── ignore_warnings: false
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+ β”‚ enforce_tags: true
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+ β”‚ print_config: true
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+ β”‚
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+ β”œβ”€β”€ task_name
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+ β”‚ └── train
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+ β”œβ”€β”€ tags
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+ β”‚ └── ['pcb', 'vit_tiny_patch16_224.augreg_in21k_ft_in1k']
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+ β”œβ”€β”€ train
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+ β”‚ └── True
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+ β”œβ”€β”€ test
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+ β”‚ └── True
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+ β”œβ”€β”€ ckpt_path
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+ β”‚ └── None
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+ β”œβ”€β”€ seed
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+ β”‚ └── 12345
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+ └── optimized_metric
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+ └── val/acc_best
epoch_018.ckpt ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:502aef680c2106b8d82226cd0ec8ffa3300eb4feb743848c2a5e03bec267c247
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+ size 66530926
metrics.csv ADDED
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+ epoch,step,test/acc,test/loss,train/acc,train/loss,val/acc,val/acc_best,val/loss
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tags.log ADDED
@@ -0,0 +1 @@
 
 
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+ ['pcb', 'vit_tiny_patch16_224.augreg_in21k_ft_in1k']