accumulation_steps: 8
architecture: resnet18.a1_in1k
augmentations: vit_heavy
batch_size: 32
dataset: FungiTastic-Mini
epochs: 50
exp_name: exp2
exp_path: ../runs/resnet18.a1_in1k-SeeSawLoss-vit_heavy/exp2
image_size:
- 224
- 224
learning_rate: 0.1
loss: SeeSawLoss
multigpu: false
number_of_classes: 215
optimizer: SGD
random_seed: 777
root_path: ../
run_name: resnet18.a1_in1k-SeeSawLoss-vit_heavy
scheduler: plateau
tags:
- FungiTastic-Mini
- 224x224
- Convolutional
test_samples: 9412
train: null
training_samples: 46842
wandb_entity: zcu_cv
wandb_project: FungiTastic
wandb_run_id: 1ojf26pk
workers: 8