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---
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