Upload 4 files
Browse files- config_tree.log +140 -0
- epoch_017.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: mobilenet_v3_large
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β multi_head: false
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β return_nodes:
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β features.16: layerout
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β features.13.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/2024-03-11_23-45-37/2/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/2024-03-11_23-45-37/2
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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/2024-03-11_23-45-37/2
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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 - mobilenet_v3_large
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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: mobilenet_v3_large_pcb_downscaled
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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/2024-03-11_23-45-37/2
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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/2024-03-11_23-45-37/2
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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', 'mobilenet_v3_large', '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_017.ckpt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a907bc9ff762c36530d6a480a6b0b50da479a5289ff07b6aeb3a292963aa169
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size 10843304
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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,,,,,0.8836484551429749,0.8836484551429749,0.30515801906585693
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0,597,,,0.8449448347091675,0.35864102840423584,,,
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1,1195,,,,,0.47033387422561646,0.8836484551429749,1.9390511512756348
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1,1195,,,0.8495475649833679,0.3373803198337555,,,
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2,1793,,,,,0.9545454382896423,0.9545454382896423,0.16632792353630066
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2,1793,,,0.9109262824058533,0.24359449744224548,,,
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3,2391,,,,,0.9652051329612732,0.9652051329612732,0.13176055252552032
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3,2391,,,0.9434855580329895,0.1813587248325348,,,
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4,2989,,,,,0.973551869392395,0.973551869392395,0.10721947252750397
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4,2989,,,0.9512003660202026,0.1626519411802292,,,
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5,3587,,,,,0.9729484915733337,0.973551869392395,0.10489927232265472
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5,3587,,,0.9565615653991699,0.148045152425766,,,
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6,4185,,,,,0.9740546941757202,0.9740546941757202,0.10647045075893402
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6,4185,,,0.9580783247947693,0.14708860218524933,,,
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7,4783,,,,,0.9776749610900879,0.9776749610900879,0.09848963469266891
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7,4783,,,0.9587060213088989,0.14709673821926117,,,
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8,5381,,,,,0.9763676524162292,0.9776749610900879,0.10352970659732819
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8,5381,,,0.9603012800216675,0.1413096785545349,,,
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9,5979,,,,,0.975864827632904,0.9776749610900879,0.11164943873882294
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9,5979,,,0.9619227051734924,0.13507114350795746,,,
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10,6577,,,,,0.9699316024780273,0.9776749610900879,0.11432625353336334
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10,6577,,,0.9618180990219116,0.13936513662338257,,,
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11,7175,,,,,0.9739541411399841,0.9776749610900879,0.10410837084054947
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11,7175,,,0.9630995392799377,0.13446000218391418,,,
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12,7773,,,,,0.9739541411399841,0.9776749610900879,0.10635782778263092
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12,7773,,,0.9641979336738586,0.13365283608436584,,,
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13,8371,,,,,0.9770715832710266,0.9776749610900879,0.09549535065889359
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13,8371,,,0.9651132225990295,0.12711001932621002,,,
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14,8969,,,,,0.9651045799255371,0.9776749610900879,0.12173756211996078
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14,8969,,,0.9643809795379639,0.13061146438121796,,,
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15,9567,,,,,0.9772727489471436,0.9776749610900879,0.10027176141738892
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15,9567,,,0.9655055403709412,0.12548476457595825,,,
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16,10165,,,,,0.980088472366333,0.980088472366333,0.08725707232952118
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16,10165,,,0.96566241979599,0.12482082098722458,,,
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17,10763,,,,,0.9809935688972473,0.9809935688972473,0.08831401914358139
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17,10763,,,0.965427041053772,0.12369353324174881,,,
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18,11361,,,,,0.9785800576210022,0.9809935688972473,0.09276366233825684
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18,11361,,,0.9667869806289673,0.12389110028743744,,,
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19,11959,,,,,0.975764274597168,0.9809935688972473,0.120977483689785
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19,11959,,,0.9677022695541382,0.11891140788793564,,,
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20,11960,0.9812325835227966,0.08642280846834183,,,,,
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tags.log
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['pcb', 'mobilenet_v3_large', 'downscaled']
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