accumulation_steps: 1
architecture: resnet18.a1_in1k
augmentations: light
batch_size: 64
dataset: FungiTastic-Mini
epochs: 1
exp_name: exp8
exp_path: ../runs/resnet18.a1_in1k-CrossEntropyLoss-light/exp8
image_size:
- 224
- 224
learning_rate: 0.01
loss: CrossEntropyLoss
multigpu: false
number_of_classes: 215
optimizer: SGD
random_seed: 777
root_path: ../
run_name: resnet18.a1_in1k-CrossEntropyLoss-light
scheduler: plateau
tags:
- FungiTastic-M-CloseSet
- 224x224
- Convolutional
test_samples: 9412
train: null
training_samples: 46842
validation_classes: 193
validation_samples: 9412
wandb_entity: zcu_cv
wandb_project: FungiTastic
wandb_run_id: 2hathneu
workers: 8