Upload 9 files
Browse files- checkpoints/checkpoint_epoch_600.pth +3 -0
- config.toml +51 -0
- model_structure.txt +148 -0
- model_summary.txt +8 -0
- onnx_checkpoints/unet_dec_21_extended_set_epoch_600.onnx +3 -0
- time_log.txt +2 -0
- torchscript_checkpoints/unet_dec_21_extended_set_epoch_600.pt +3 -0
- training_logs/metric_plots.pdf +0 -0
- training_logs/training_stats.csv +601 -0
checkpoints/checkpoint_epoch_600.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:37c12e01bc824426776b423b5cb2591159e68b269203696d76341116df1e4772
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size 172060937
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config.toml
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experiment_name = "unet_dec_21_extended_set"
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base_dir = "/exports/csce/eddie/eng/groups/DunnGroup/matthew/models_gelgenie"
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[processing]
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base_hardware = "EDDIE"
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device = "GPU"
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pe = 1
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memory = 64
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[data]
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n_channels = 1
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batch_size = 2
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num_workers = 1
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val_percent = 10
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dir_train_mask = [ "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/lsdb_gels/masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/nathan_gels/masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels/masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels_2/masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/lsdb_gels/val_masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/nathan_gels/val_masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels/val_masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels_2/val_masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/quantitation_ladder_gels/masks", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/quantitation_ladder_gels/val_masks",]
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dir_train_img = [ "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/lsdb_gels/images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/nathan_gels/images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels/images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels_2/images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/lsdb_gels/val_images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/nathan_gels/val_images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels/val_images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/matthew_gels_2/val_images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/quantitation_ladder_gels/images", "/exports/csce/eddie/eng/groups/DunnGroup/matthew/gel_data/quantitation_ladder_gels/val_images",]
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dir_val_img = []
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dir_val_mask = []
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split_training_dataset = false
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apply_augmentations = true
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padding = true
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individual_padding = false
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weak_augmentations = false
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minmax_norm = false
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[model]
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model_name = "smp_unet"
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classes = 2
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in_channels = 1
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encoder_name = "resnet18"
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[training]
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loss = [ "dice", "crossentropy",]
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loss_component_weighting = [ 1, 1,]
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class_loss_weighting = false
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class_loss_weight_damper = [ 1.0, 1.0,]
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lr = 0.0001
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epochs = 600
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grad_scaler = true
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load_checkpoint = false
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optimizer_type = "adam"
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scheduler_type = "CosineAnnealingWarmRestarts"
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save_checkpoint = true
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checkpoint_frequency = 1
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wandb_track = true
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model_cleanup_frequency = 20
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model_cleanup_metric = "Training Loss"
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wandb_id = "hken4zqw"
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[training.scheduler_specs]
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restart_period = 100
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model_structure.txt
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======================================================================
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Layer (type:depth-idx) Param #
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======================================================================
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smp_UNet --
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├─ResNetEncoder: 1-1 --
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│ └─Conv2d: 2-1 3,136
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│ └─BatchNorm2d: 2-2 128
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│ └─ReLU: 2-3 --
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│ └─MaxPool2d: 2-4 --
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│ └─Sequential: 2-5 --
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│ │ └─BasicBlock: 3-1 --
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│ │ │ └─Conv2d: 4-1 36,864
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│ │ │ └─BatchNorm2d: 4-2 128
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│ │ │ └─ReLU: 4-3 --
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│ │ │ └─Conv2d: 4-4 36,864
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│ │ │ └─BatchNorm2d: 4-5 128
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│ │ └─BasicBlock: 3-2 --
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│ │ │ └─Conv2d: 4-6 36,864
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│ │ │ └─BatchNorm2d: 4-7 128
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│ │ │ └─ReLU: 4-8 --
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│ │ │ └─Conv2d: 4-9 36,864
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│ │ │ └─BatchNorm2d: 4-10 128
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│ └─Sequential: 2-6 --
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│ │ └─BasicBlock: 3-3 --
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│ │ │ └─Conv2d: 4-11 73,728
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│ │ │ └─BatchNorm2d: 4-12 256
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│ │ │ └─ReLU: 4-13 --
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│ │ │ └─Conv2d: 4-14 147,456
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│ │ │ └─BatchNorm2d: 4-15 256
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│ │ │ └─Sequential: 4-16 --
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│ │ │ │ └─Conv2d: 5-1 8,192
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│ │ │ │ └─BatchNorm2d: 5-2 256
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│ │ └─BasicBlock: 3-4 --
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│ │ │ └─Conv2d: 4-17 147,456
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│ │ │ └─BatchNorm2d: 4-18 256
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│ │ │ └─ReLU: 4-19 --
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│ │ │ └─Conv2d: 4-20 147,456
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│ │ │ └─BatchNorm2d: 4-21 256
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│ └─Sequential: 2-7 --
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│ │ └─BasicBlock: 3-5 --
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│ │ │ └─Conv2d: 4-22 294,912
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│ │ │ └─BatchNorm2d: 4-23 512
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│ │ │ └─ReLU: 4-24 --
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│ │ │ └─Conv2d: 4-25 589,824
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│ │ │ └─BatchNorm2d: 4-26 512
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│ │ │ └─Sequential: 4-27 --
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│ │ │ │ └─Conv2d: 5-3 32,768
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│ │ │ │ └─BatchNorm2d: 5-4 512
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│ │ └─BasicBlock: 3-6 --
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│ │ │ └─Conv2d: 4-28 589,824
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│ │ │ └─BatchNorm2d: 4-29 512
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│ │ │ └─ReLU: 4-30 --
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│ │ │ └─Conv2d: 4-31 589,824
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│ │ │ └─BatchNorm2d: 4-32 512
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│ └─Sequential: 2-8 --
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│ │ └─BasicBlock: 3-7 --
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│ │ │ └─Conv2d: 4-33 1,179,648
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│ │ │ └─BatchNorm2d: 4-34 1,024
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│ │ │ └─ReLU: 4-35 --
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│ │ │ └─Conv2d: 4-36 2,359,296
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│ │ │ └─BatchNorm2d: 4-37 1,024
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│ │ │ └─Sequential: 4-38 --
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│ │ │ │ └─Conv2d: 5-5 131,072
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│ │ │ │ └─BatchNorm2d: 5-6 1,024
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│ │ └─BasicBlock: 3-8 --
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│ │ │ └─Conv2d: 4-39 2,359,296
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│ │ │ └─BatchNorm2d: 4-40 1,024
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│ │ │ └─ReLU: 4-41 --
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│ │ │ └─Conv2d: 4-42 2,359,296
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│ │ │ └─BatchNorm2d: 4-43 1,024
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├─UnetDecoder: 1-2 --
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│ └─Identity: 2-9 --
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│ └─ModuleList: 2-10 --
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│ │ └─DecoderBlock: 3-9 --
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│ │ │ └─Conv2dReLU: 4-44 --
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│ │ │ │ └─Conv2d: 5-7 1,769,472
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│ │ │ │ └─BatchNorm2d: 5-8 512
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│ │ │ │ └─ReLU: 5-9 --
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│ │ │ └─Attention: 4-45 --
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│ │ │ │ └─Identity: 5-10 --
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│ │ │ └─Conv2dReLU: 4-46 --
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│ │ │ │ └─Conv2d: 5-11 589,824
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│ │ │ │ └─BatchNorm2d: 5-12 512
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│ │ �� │ └─ReLU: 5-13 --
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│ │ │ └─Attention: 4-47 --
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│ │ │ │ └─Identity: 5-14 --
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│ │ └─DecoderBlock: 3-10 --
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│ │ │ └─Conv2dReLU: 4-48 --
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│ │ │ │ └─Conv2d: 5-15 442,368
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│ │ │ │ └─BatchNorm2d: 5-16 256
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│ │ │ │ └─ReLU: 5-17 --
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│ │ │ └─Attention: 4-49 --
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│ │ │ │ └─Identity: 5-18 --
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│ │ │ └─Conv2dReLU: 4-50 --
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│ │ │ │ └─Conv2d: 5-19 147,456
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│ │ │ │ └─BatchNorm2d: 5-20 256
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│ │ │ │ └─ReLU: 5-21 --
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│ │ │ └─Attention: 4-51 --
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│ │ │ │ └─Identity: 5-22 --
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│ │ └─DecoderBlock: 3-11 --
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│ │ │ └─Conv2dReLU: 4-52 --
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│ │ │ │ └─Conv2d: 5-23 110,592
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│ │ │ │ └─BatchNorm2d: 5-24 128
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│ │ │ │ └─ReLU: 5-25 --
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│ │ │ └─Attention: 4-53 --
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│ │ │ │ └─Identity: 5-26 --
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│ │ │ └─Conv2dReLU: 4-54 --
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│ │ │ │ └─Conv2d: 5-27 36,864
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│ │ │ │ └─BatchNorm2d: 5-28 128
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│ │ │ │ └─ReLU: 5-29 --
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│ │ │ └─Attention: 4-55 --
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112 |
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│ │ │ │ └─Identity: 5-30 --
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113 |
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│ │ └─DecoderBlock: 3-12 --
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114 |
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│ │ │ └─Conv2dReLU: 4-56 --
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115 |
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│ │ │ │ └─Conv2d: 5-31 36,864
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116 |
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│ │ │ │ └─BatchNorm2d: 5-32 64
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│ │ │ │ └─ReLU: 5-33 --
|
118 |
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│ │ │ └─Attention: 4-57 --
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119 |
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│ │ │ │ └─Identity: 5-34 --
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120 |
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│ │ │ └─Conv2dReLU: 4-58 --
|
121 |
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│ │ │ │ └─Conv2d: 5-35 9,216
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122 |
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│ │ │ │ └─BatchNorm2d: 5-36 64
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123 |
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│ │ │ │ └─ReLU: 5-37 --
|
124 |
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│ │ │ └─Attention: 4-59 --
|
125 |
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│ │ │ │ └─Identity: 5-38 --
|
126 |
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│ │ └─DecoderBlock: 3-13 --
|
127 |
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│ │ │ └─Conv2dReLU: 4-60 --
|
128 |
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│ │ │ │ └─Conv2d: 5-39 4,608
|
129 |
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│ │ │ │ └─BatchNorm2d: 5-40 32
|
130 |
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│ │ │ │ └─ReLU: 5-41 --
|
131 |
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│ │ │ └─Attention: 4-61 --
|
132 |
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│ │ │ │ └─Identity: 5-42 --
|
133 |
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│ │ │ └─Conv2dReLU: 4-62 --
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134 |
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│ │ │ │ └─Conv2d: 5-43 2,304
|
135 |
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│ │ │ │ └─BatchNorm2d: 5-44 32
|
136 |
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│ │ │ │ └─ReLU: 5-45 --
|
137 |
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│ │ │ └─Attention: 4-63 --
|
138 |
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│ │ │ │ └─Identity: 5-46 --
|
139 |
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├─SegmentationHead: 1-3 --
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140 |
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│ └─Conv2d: 2-11 290
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141 |
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│ └─Identity: 2-12 --
|
142 |
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│ └─Activation: 2-13 --
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143 |
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│ │ └─Identity: 3-14 --
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144 |
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======================================================================
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145 |
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Total params: 14,322,082
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146 |
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Trainable params: 14,322,082
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147 |
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Non-trainable params: 0
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======================================================================
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model_summary.txt
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Model Summary
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┏━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━┓
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┃ Parameter ┃ Value ┃
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4 |
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┡━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━┩
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│ Network │ smp_unet │
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│ Trainable Parameters │ 14322082 │
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│ Output channels │ 2 │
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└──────────────────────┴──────────┘
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onnx_checkpoints/unet_dec_21_extended_set_epoch_600.onnx
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec18349dfded98b8c36afb8fd617a6ab26dd882b5b87530f309121a3a3e0ed0b
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size 57279486
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time_log.txt
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Time initiated first training run: 2023_12_22_09;31;51
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Time resumed training run: 2023_12_23_11;33;20
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torchscript_checkpoints/unet_dec_21_extended_set_epoch_600.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0a23e07c74f5ade6383823eaab2227b6bc42d680a53243eda1f9e5865717b72d
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size 57604657
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training_logs/metric_plots.pdf
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Binary file (45.6 kB). View file
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training_logs/training_stats.csv
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|
1 |
+
Dice Loss,Cross-Entropy Loss,Training Loss,Learning Rate,Epoch
|
2 |
+
0.5240247586940198,0.16022964830094197,0.6842544081363272,0.0001,1
|
3 |
+
0.45778049864667525,0.034274484748218925,0.4920549836564571,9.99753526902683e-05,2
|
4 |
+
0.3477140974491201,0.012711557918327286,0.3604256551316444,9.990143508499217e-05,3
|
5 |
+
0.2346245453712788,0.00888089731811209,0.24350544230100957,9.977832013192385e-05,4
|
6 |
+
0.18240054059535898,0.008453601789462598,0.1908541424160308,9.960612933065818e-05,5
|
7 |
+
0.17319655266213924,0.007996876134061592,0.1811934289463023,9.938503261272713e-05,6
|
8 |
+
0.16018125478257525,0.007702404046133953,0.1678836591858813,9.9115248173898e-05,7
|
9 |
+
0.1567360670008558,0.007804100178776586,0.16454016729555232,9.879704225884044e-05,8
|
10 |
+
0.15762645031543487,0.00799268195232218,0.16561913247755233,9.843072889837513e-05,9
|
11 |
+
0.14972519088298716,0.007935128562855831,0.15766031978295206,9.801666959956331e-05,10
|
12 |
+
0.1458730180212792,0.007422886246399201,0.153295904001657,9.755527298894293e-05,11
|
13 |
+
0.1498369074882345,0.007640682554437204,0.1574775902356239,9.704699440926357e-05,12
|
14 |
+
0.14119557776349656,0.007497767490295178,0.14869334561393616,9.649233547011815e-05,13
|
15 |
+
0.1446769635728065,0.007514354423124423,0.15219131793747556,9.589184355291485e-05,14
|
16 |
+
0.14451496043103806,0.00711707593278682,0.15163203636382488,9.524611127067768e-05,15
|
17 |
+
0.14358970129743537,0.007545389988127739,0.1511350912299562,9.455577588320898e-05,16
|
18 |
+
0.14141442699635282,0.007644191936173655,0.1490586188245327,9.382151866819098e-05,17
|
19 |
+
0.13759427070617675,0.006932692002614049,0.14452696280910612,9.304406424884699e-05,18
|
20 |
+
0.13942169762672263,0.006969505873201613,0.14639120338127967,9.222417987882565e-05,19
|
21 |
+
0.1338418648598042,0.006737707666012439,0.14057957243095054,9.136267468501436e-05,20
|
22 |
+
0.13743245956745553,0.006982756273553489,0.14441521636983182,9.046039886902862e-05,21
|
23 |
+
0.1329968160771309,0.0071766444244124785,0.1401734603846327,8.951824286816573e-05,22
|
24 |
+
0.13493705886475582,0.006918628440248443,0.14185568747368266,8.853713647665068e-05,23
|
25 |
+
0.13372122049331664,0.006721084571364237,0.14044230482045642,8.751804792804146e-05,24
|
26 |
+
0.1330649015751291,0.006775248506195606,0.13984014976848946,8.646198293969951e-05,25
|
27 |
+
0.1300519238127039,0.0066262172770369405,0.1366781411098039,8.536998372026805e-05,26
|
28 |
+
0.1325231521687609,0.00706036689423738,0.13958351922796128,8.4243127941138e-05,27
|
29 |
+
0.13126165968306522,0.006855913615993601,0.1381175733310111,8.308252767291642e-05,28
|
30 |
+
0.13170060959268123,0.006646834263835657,0.138347443549874,8.188932828794705e-05,29
|
31 |
+
0.13141809904828985,0.006685611973962489,0.13810371093927545,8.066470732996619e-05,30
|
32 |
+
0.12457986359900616,0.006295648988019278,0.13087551251370855,7.940987335200905e-05,31
|
33 |
+
0.12836605361167422,0.006649104126312948,0.13501515778455328,7.812606472371394e-05,32
|
34 |
+
0.1263421799274201,0.006484927775764322,0.1328271082741149,7.681454840920088e-05,33
|
35 |
+
0.12243027712436433,0.006313299777808579,0.12874357644864853,7.547661871673105e-05,34
|
36 |
+
0.1250632681745164,0.006288296199388842,0.1313515640795231,7.411359602138067e-05,35
|
37 |
+
0.121910878191603,0.006175794585191823,0.12808667246965652,7.272682546199037e-05,36
|
38 |
+
0.12335452805174157,0.006310238574998097,0.12966476655069817,7.131767561367538e-05,37
|
39 |
+
0.11860335583382464,0.0064009058834152656,0.12500426176380605,6.988753713720729e-05,38
|
40 |
+
0.12520463466644288,0.006144469995869007,0.13134910482516948,6.843782140659968e-05,39
|
41 |
+
0.12384032163214176,0.006241927815333722,0.13008224961764,6.696995911625232e-05,40
|
42 |
+
0.1234089694124587,0.006506562051165136,0.1299155314869069,6.548539886902863e-05,41
|
43 |
+
0.11896071129656853,0.0057630506458077975,0.12472376197259477,6.398560574665952e-05,42
|
44 |
+
0.12031571763627072,0.006160896451787112,0.12647661406626093,6.247205986388449e-05,43
|
45 |
+
0.11747577444035956,0.005918744917800452,0.12339451895590792,6.094625490775731e-05,44
|
46 |
+
0.11559518981487193,0.0058510911187771315,0.1214462808313522,5.940969666355696e-05,45
|
47 |
+
0.11585876180770549,0.005942292050755722,0.12180105389115659,5.786390152875954e-05,46
|
48 |
+
0.12052265811473765,0.005820806937643941,0.12634346520012998,5.631039501653701e-05,47
|
49 |
+
0.11949374980114875,0.005883001597558564,0.12537675149580266,5.475071025025979e-05,48
|
50 |
+
0.11484045703360375,0.005708143090769807,0.12054860048154567,5.318638645048921e-05,49
|
51 |
+
0.11721497241486895,0.006007759742428885,0.12322273219519474,5.1618967415952515e-05,50
|
52 |
+
0.1132990154814213,0.0055468759697644004,0.11884589155620717,5.0050000000000004e-05,51
|
53 |
+
0.10885031121842405,0.005489372875865925,0.11433968450477783,4.848103258404749e-05,52
|
54 |
+
0.11052446314629089,0.005517801690222497,0.1160422646301858,4.69136135495108e-05,53
|
55 |
+
0.11394461570902073,0.0056973490913576905,0.11964196521551052,4.5349289749740215e-05,54
|
56 |
+
0.11671723888275472,0.005758320808192675,0.12247555966072894,4.378960498346301e-05,55
|
57 |
+
0.11471284526459714,0.006278931373789748,0.12099177647144237,4.223609847124047e-05,56
|
58 |
+
0.1121744731639294,0.005600380526850634,0.11777485382366688,4.069030333644306e-05,57
|
59 |
+
0.11400592301754241,0.00569256559247151,0.1196984886330493,3.9153745092242715e-05,58
|
60 |
+
0.11012651362317674,0.0055433300660645704,0.11566984372887205,3.7627940136115507e-05,59
|
61 |
+
0.11280354033125208,0.005615899762128816,0.11841944005895168,3.6114394253340505e-05,60
|
62 |
+
0.10896942057508104,0.005628606052747234,0.11459802633270304,3.4614601130971394e-05,61
|
63 |
+
0.10945614297339257,0.005571183797214775,0.11502732664663741,3.31300408837477e-05,62
|
64 |
+
0.10913083502586851,0.005252565524634965,0.11438339994625843,3.166217859340035e-05,63
|
65 |
+
0.10860496708687316,0.005480319128044821,0.11408528626916256,3.0212462862792702e-05,64
|
66 |
+
0.10811534536645767,0.005370835918051369,0.11348618104102763,2.8782324386324622e-05,65
|
67 |
+
0.10888498945439115,0.005385669840356097,0.11427065944100948,2.737317453800964e-05,66
|
68 |
+
0.10928057406811004,0.005413192624790951,0.11469376618240743,2.5986403978619313e-05,67
|
69 |
+
0.10527930437250341,0.005103338158942085,0.11038264272377846,2.4623381283268953e-05,68
|
70 |
+
0.10886225548196346,0.005532815418468709,0.11439507055155775,2.3285451590799106e-05,69
|
71 |
+
0.1055844451518769,0.005085470594658932,0.1106699157744012,2.1973935276286073e-05,70
|
72 |
+
0.10671804915083216,0.005471765552647412,0.11218981441665203,2.069012664799097e-05,71
|
73 |
+
0.10436380163152167,0.00517463157079777,0.10953843300329878,1.9435292670033817e-05,72
|
74 |
+
0.10629670391691493,0.005189365082905886,0.11148606930324372,1.8210671712052947e-05,73
|
75 |
+
0.10586212264730575,0.0052890365425636,0.11115115926937855,1.7017472327083596e-05,74
|
76 |
+
0.1064032884354287,0.005094733741134405,0.11149802217458157,1.5856872058861997e-05,75
|
77 |
+
0.10774586352896183,0.0053336174072489695,0.1130794811121961,1.4730016279731955e-05,76
|
78 |
+
0.10779727595917722,0.005202778783611993,0.11300005505376674,1.3638017060300505e-05,77
|
79 |
+
0.10226125412798942,0.0049691957083501,0.10723044993554023,1.2581952071958545e-05,78
|
80 |
+
0.10254503589995365,0.004991386782630604,0.10753642271490807,1.1562863523349333e-05,79
|
81 |
+
0.10298938269310809,0.005020184299482548,0.10800956688979839,1.0581757131834264e-05,80
|
82 |
+
0.10522082333869122,0.00509597242084094,0.11031679561004994,9.639601130971381e-06,81
|
83 |
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0.10579078552570749,0.005298378386787397,0.1110891636064712,8.737325314985643e-06,82
|
84 |
+
0.10423866307481806,0.005021786947110469,0.10926045011332694,7.87582012117436e-06,83
|
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