| 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 | |