Upload 4 files
Browse files- config_tree.log +139 -0
- epoch_019.ckpt +3 -0
- metrics.csv +42 -0
- tags.log +1 -0
config_tree.log
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CONFIG
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βββ data
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β βββ _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: 10
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β step_size: 10
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β iterate_over_defective_areas: true
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β save_every_second_good_tile: true
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β
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βββ model
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β βββ _target_: src.models.training_module.TrainingLitModule
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β optimizer:
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β _target_: torch.optim.Adam
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β _partial_: true
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β lr: 0.0019960425587510337
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β weight_decay: 0.0
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β scheduler:
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β _target_: torch.optim.lr_scheduler.ReduceLROnPlateau
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β _partial_: true
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β mode: min
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β factor: 0.1
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β patience: 10
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β net:
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β _target_: src.models.components.cnn_cam_multihead.CNNCAMMultihead
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β backbone: efficientnet_v2_s
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β multi_head: false
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β return_nodes:
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β features.6.0.block.0: layerout
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β weights: IMAGENET1K_V1
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β compile: false
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β
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βββ callbacks
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β βββ 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/2024-03-12_14-41-52/0/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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βββ logger
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β βββ 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/2024-03-12_14-41-52/0
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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/2024-03-12_14-41-52/0
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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 - efficientnet_v2_s
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β - downscaled
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β job_type: ''
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β aim:
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β experiment: efficientnet_v2_s_downscaled_pcb
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β
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βββ trainer
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β βββ _target_: lightning.pytorch.trainer.Trainer
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β default_root_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain/logs/train/multiruns/2024-03-12_14-41-52/0
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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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βββ paths
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β βββ 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/2024-03-12_14-41-52/0
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β work_dir: /media/gpu0/data/lukas/magistras/DeepVisionXplain
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β
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βββ extras
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β βββ 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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βββ task_name
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β βββ train
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βββ tags
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β βββ ['pcb', 'efficientnet_v2_s', 'downscaled']
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βββ train
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β βββ True
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βββ test
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β βββ True
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βββ ckpt_path
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β βββ None
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βββ seed
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β βββ 12345
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βββ optimized_metric
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βββ val/acc_best
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epoch_019.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:61bc986634cb091c29efc95b4fa89dad2b03c62c6a9e275a2853258dd809c8e2
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size 66275905
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metrics.csv
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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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0,1194,,,,,0.9785800576210022,0.9785800576210022,0.09405126422643661
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0,1194,,,0.938464343547821,0.19192448258399963,,,
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1,2389,,,,,0.9810941219329834,0.9810941219329834,0.08577818423509598
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1,2389,,,0.9626811146736145,0.1403200626373291,,,
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2,3584,,,,,0.9801890850067139,0.9810941219329834,0.08877433836460114
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2,3584,,,0.9662377834320068,0.1284174621105194,,,
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3,4779,,,,,0.9799879193305969,0.9810941219329834,0.10236217826604843
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3,4779,,,0.9674146175384521,0.126870259642601,,,
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4,5974,,,,,0.9815969467163086,0.9815969467163086,0.08225452899932861
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4,5974,,,0.9689052700996399,0.12337687611579895,,,
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5,7169,,,,,0.9818986058235168,0.9818986058235168,0.08724121004343033
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5,7169,,,0.9702652096748352,0.1179715171456337,,,
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6,8364,,,,,0.9819992184638977,0.9819992184638977,0.08026734739542007
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6,8364,,,0.9697421193122864,0.11816190183162689,,,
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7,9559,,,,,0.9831053614616394,0.9831053614616394,0.07449725270271301
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7,9559,,,0.9707097411155701,0.11649829894304276,,,
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8,10754,,,,,0.9811946749687195,0.9831053614616394,0.07809150964021683
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8,10754,,,0.9711804986000061,0.11317309737205505,,,
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9,11949,,,,,0.982602596282959,0.9831053614616394,0.07763692736625671
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9,11949,,,0.9712589383125305,0.11222042888402939,,,
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10,13144,,,,,0.9827031493186951,0.9831053614616394,0.07836566120386124
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10,13144,,,0.9718604683876038,0.1116846352815628,,,
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11,14339,,,,,0.982300877571106,0.9831053614616394,0.08225186914205551
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11,14339,,,0.9722527265548706,0.11003268510103226,,,
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12,15534,,,,,0.9811946749687195,0.9831053614616394,0.08842861652374268
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12,15534,,,0.9718865752220154,0.10956701636314392,,,
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13,16729,,,,,0.9836081862449646,0.9836081862449646,0.08435621857643127
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13,16729,,,0.9724096655845642,0.1086176261305809,,,
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14,17924,,,,,0.982602596282959,0.9836081862449646,0.08263920247554779
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14,17924,,,0.9727234840393066,0.10712388902902603,,,
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15,19119,,,,,0.982300877571106,0.9836081862449646,0.07698046416044235
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15,19119,,,0.9728542566299438,0.105719193816185,,,
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16,20314,,,,,0.9834070801734924,0.9836081862449646,0.07577761262655258
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16,20314,,,0.9728803634643555,0.1063806414604187,,,
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17,21509,,,,,0.982602596282959,0.9836081862449646,0.08022763580083847
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17,21509,,,0.9729588627815247,0.10627707093954086,,,
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18,22704,,,,,0.9841110110282898,0.9841110110282898,0.08097345381975174
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18,22704,,,0.9729588627815247,0.1045692190527916,,,
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19,23899,,,,,0.984613835811615,0.984613835811615,0.07302909344434738
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19,23899,,,0.9747371673583984,0.09775423258543015,,,
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20,23900,0.9853643774986267,0.07237692177295685,,,,,
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tags.log
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['pcb', 'efficientnet_v2_s', 'downscaled']
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