--- seed: 1984 num_workers: 4 experiment_name: "2020-10-29a" val_split: 0.1 resume_from_checkpoint: 2020-10-29/epoch=4.ckpt model: type: segmentation_models_pytorch.Unet encoder_name: timm-efficientnet-b3 classes: 1 encoder_weights: noisy-student trainer: type: pytorch_lightning.Trainer gpus: 4 max_epochs: 30 distributed_backend: ddp progress_bar_refresh_rate: 1 benchmark: True precision: 16 gradient_clip_val: 5.0 num_sanity_val_steps: 2 sync_batchnorm: True scheduler: type: torch.optim.lr_scheduler.CosineAnnealingWarmRestarts T_0: 10 T_mult: 2 train_parameters: batch_size: 8 checkpoint_callback: type: pytorch_lightning.callbacks.ModelCheckpoint filepath: "2020-10-29a" monitor: val_iou verbose: True mode: max save_top_k: -1 val_parameters: batch_size: 2 optimizer: type: adamp.AdamP lr: 0.0001 train_aug: transform: __class_fullname__: albumentations.core.composition.Compose bbox_params: null keypoint_params: null p: 1 transforms: - __class_fullname__: albumentations.augmentations.transforms.LongestMaxSize always_apply: False max_size: 800 p: 1 - __class_fullname__: albumentations.augmentations.transforms.PadIfNeeded always_apply: False min_height: 800 min_width: 800 border_mode: 0 # cv2.BORDER_CONSTANT value: 0 mask_value: 0 p: 1 - __class_fullname__: albumentations.augmentations.transforms.RandomCrop always_apply: False height: 512 width: 512 p: 1 - __class_fullname__: albumentations.augmentations.transforms.HorizontalFlip always_apply: False p: 0.5 - __class_fullname__: albumentations.augmentations.transforms.Normalize always_apply: false max_pixel_value: 255.0 mean: - 0.485 - 0.456 - 0.406 p: 1 std: - 0.229 - 0.224 - 0.225 val_aug: transform: __class_fullname__: albumentations.core.composition.Compose bbox_params: null keypoint_params: null p: 1 transforms: - __class_fullname__: albumentations.augmentations.transforms.LongestMaxSize always_apply: False max_size: 800 p: 1 - __class_fullname__: albumentations.augmentations.transforms.PadIfNeeded always_apply: False min_height: 800 min_width: 800 border_mode: 0 # cv2.BORDER_CONSTANT value: 0 mask_value: 0 p: 1 - __class_fullname__: albumentations.augmentations.transforms.Normalize always_apply: false max_pixel_value: 255.0 mean: - 0.485 - 0.456 - 0.406 p: 1 std: - 0.229 - 0.224 - 0.225