Upload 4 files
Browse files- config_tree.log +138 -0
- epoch_014.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: 64
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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: 0.0028369961259166574
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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.7: 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_07-27-45/2/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_07-27-45/2
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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_07-27-45/2
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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 job_type: ''
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β aim:
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β experiment: efficientnet_v2_s_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_07-27-45/2
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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_07-27-45/2
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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']
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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_014.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:abffb4e4ab564b0c567d8be552c540917c94e62c6320ed01febc011497b87570
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size 243474990
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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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0,597,,,,,0.9202533960342407,0.9202533960342407,0.24433258175849915
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0,597,,,0.8531304001808167,0.34874600172042847,,,
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1,1195,,,,,0.9686242938041687,0.9686242938041687,0.11973527818918228
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1,1195,,,0.9400073289871216,0.1913006454706192,,,
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2,1793,,,,,0.9785800576210022,0.9785800576210022,0.09632077813148499
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2,1793,,,0.9587321281433105,0.15059404075145721,,,
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3,2391,,,,,0.9781777858734131,0.9785800576210022,0.09899955242872238
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3,2391,,,0.9633349180221558,0.13472460210323334,,,
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4,2989,,,,,0.9806918501853943,0.9806918501853943,0.0868629738688469
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4,2989,,,0.9668392539024353,0.12494046986103058,,,
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5,3587,,,,,0.9820997714996338,0.9820997714996338,0.07910773903131485
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5,3587,,,0.9677284359931946,0.12355392426252365,,,
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6,4185,,,,,0.9805912971496582,0.9820997714996338,0.08769524097442627
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6,4185,,,0.9686960577964783,0.12042742967605591,,,
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7,4783,,,,,0.9789823293685913,0.9820997714996338,0.08709359169006348
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7,4783,,,0.9689837098121643,0.11861222982406616,,,
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8,5381,,,,,0.9829042553901672,0.9829042553901672,0.08052040636539459
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8,5381,,,0.9705528616905212,0.11610328406095505,,,
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9,5979,,,,,0.9755631685256958,0.9829042553901672,0.10026752948760986
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9,5979,,,0.9694021940231323,0.11668238043785095,,,
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10,6577,,,,,0.9827031493186951,0.9829042553901672,0.07983791828155518
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10,6577,,,0.9711282253265381,0.11250285804271698,,,
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11,7175,,,,,0.9831053614616394,0.9831053614616394,0.07911329716444016
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11,7175,,,0.9709974527359009,0.11236561089754105,,,
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12,7773,,,,,0.9811946749687195,0.9831053614616394,0.08866827189922333
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12,7773,,,0.9709712862968445,0.11317490041255951,,,
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13,8371,,,,,0.982300877571106,0.9831053614616394,0.08198411017656326
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13,8371,,,0.9725927114486694,0.10827154666185379,,,
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14,8969,,,,,0.9841110110282898,0.9841110110282898,0.07855628430843353
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14,8969,,,0.9722527265548706,0.10921794921159744,,,
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15,9567,,,,,0.9797868132591248,0.9841110110282898,0.08251450210809708
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15,9567,,,0.9723050594329834,0.10851083695888519,,,
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16,10165,,,,,0.9829042553901672,0.9841110110282898,0.0773928239941597
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16,10165,,,0.9724096655845642,0.10706205666065216,,,
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17,10763,,,,,0.9833065271377563,0.9841110110282898,0.07729280740022659
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17,10763,,,0.9728803634643555,0.10688197612762451,,,
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18,11361,,,,,0.9814963936805725,0.9841110110282898,0.1011638343334198
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18,11361,,,0.972749650478363,0.10669837892055511,,,
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19,11959,,,,,0.9815969467163086,0.9841110110282898,0.08057211339473724
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19,11959,,,0.9728542566299438,0.1059708446264267,,,
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20,11960,0.9849163889884949,0.07728482037782669,,,,,
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tags.log
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['pcb', 'efficientnet_v2_s']
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