| accumulation_steps: 8 | |
| architecture: resnet50.a1_in1k | |
| augmentations: vit_heavy | |
| batch_size: 32 | |
| dataset: DF24 | |
| epochs: 1 | |
| exp_name: exp5 | |
| exp_path: ../runs/resnet50.a1_in1k-SeeSawLoss-vit_heavy/exp5 | |
| image_size: | |
| - 224 | |
| - 224 | |
| learning_rate: 0.01 | |
| loss: SeeSawLoss | |
| multigpu: false | |
| number_of_classes: 2829 | |
| optimizer: SGD | |
| random_seed: 777 | |
| root_path: ../ | |
| run_name: resnet50.a1_in1k-SeeSawLoss-vit_heavy | |
| scheduler: plateau | |
| tags: | |
| - DanishFungi2024 | |
| - 224x224 | |
| - Convolutional | |
| test_samples: 89659 | |
| train: null | |
| training_samples: 433701 | |
| wandb_entity: zcu_cv | |
| wandb_project: DanishFungi24 | |
| wandb_run_id: yprop9yd | |
| workers: 8 | |