configs/experiment/catdog_experiment_resnet.yaml

# @package _global_

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

defaults:
  - override /paths: catdog
  - override /data: catdog
  - override /model: catdog_classifier_resnet
  - override /callbacks: default
  - override /logger: default
  - override /trainer: default

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

seed: 42
name: "catdog_experiment_resnet"

# Logger-specific configurations
logger:
  aim:
    experiment: ${name}
  mlflow:
    experiment_name: ${name}
    tags:
      model_type: "timm_classify"

data:
  batch_size: 64
  num_workers: 8
  pin_memory: True
  image_size: 160

model:
  base_model: efficientnet_b0
  pretrained: True
  lr: 1e-3
  weight_decay: 1e-5
  factor: 0.1
  patience: 5
  min_lr: 1e-6
  num_classes: 2

trainer:
  min_epochs: 1
  max_epochs: 5

callbacks:
  model_checkpoint:
    monitor: "val_acc"
    mode: "max"
    save_top_k: 1
    save_last: True

  early_stopping:
    monitor: "val_acc"
    patience: 3
    mode: "max"