fastmri_multicoil_ul_FT_0.1RT_random1.yaml

# @package _global_

# to execute this experiment run:
# python train.py experiment=example

defaults:
  - override /data: fastmri_multicoil
  - override /model: varnet_ft
  - override /callbacks: default
  - override /trainer: gpu

# all parameters below will be merged with parameters from default configurations set above
# this allows you to overwrite only specified parameters

tags: ["fastmri_brain", "fastmri_knee", "varnet"]

seed: 42

trainer:
  max_epochs: 56
  gradient_clip_val: 0.5
  limit_val_batches: 0
  num_sanity_val_steps: 0

callbacks:
  model_checkpoint:
    monitor: "train/loss"
    save_on_train_epoch_end: true
    save_top_k: -1
    every_n_epochs: 1    
    mode: "min"
  early_stopping:
    monitor: "train/loss"

data:
  dataset_cache_file: "brain_retain_10per_v1.pkl"
  batch_size: 1

logger:
  comet:
    project_name: "fastmri-multicoil-unlearning"