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# @package _global_
# to execute this experiment run:
# python train.py experiment=example
defaults:
- override /datamodule: focus150.yaml
- override /model: focusResNet_150.yaml
- override /callbacks: default.yaml
- override /logger: many_loggers
- override /trainer: default.yaml
# all parameters below will be merged with parameters from default configurations set above
# this allows you to overwrite only specified parameters
# name of the run determines folder name in logs
name: "focusResNet_150"
seed: 12345
trainer:
min_epochs: 1
max_epochs: 100
model:
resnet_type: "resnet50"
pretrained: true
lr: 0.001
weight_decay: 0.0005
datamodule:
batch_size: 128
augmentation: True
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