# data | |
augmentations: 'vit_heavy' | |
image_size: [256, 256] # [height, width] | |
dataset: 'SnakeCLEF2023' | |
# model | |
architecture: 'swinv2_tiny_window16_256.ms_in1k' | |
# training | |
loss: 'SeeSawLoss' | |
optimizer: 'SGD' | |
scheduler: 'plateau' | |
epochs: 100 | |
learning_rate: 0.01 | |
batch_size: 32 | |
accumulation_steps: 4 | |
# other | |
random_seed: 777 | |
workers: 1 | |
multigpu: False | |
tags: ["Fine-tuning"] # W&B Run tags | |
root_path: "./" |