| accumulation_steps: 1 | |
| architecture: vit_base_patch16_224.augreg_in21k_ft_in1k | |
| augmentations: vit_heavy | |
| batch_size: 64 | |
| dataset: FungiTastic-Mini | |
| epochs: 100 | |
| exp_name: exp99 | |
| exp_path: ../runs/vit_base_patch16_224.augreg_in21k_ft_in1k-CrossEntropyLoss-vit_heavy/exp99 | |
| 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: vit_base_patch16_224.augreg_in21k_ft_in1k-CrossEntropyLoss-vit_heavy | |
| scheduler: plateau | |
| tags: | |
| - FungiTastic-M-CloseSet | |
| - 224x224 | |
| test_samples: 10738 | |
| train: null | |
| training_samples: 46842 | |
| validation_classes: 193 | |
| validation_samples: 9412 | |
| wandb_entity: zcu_cv | |
| wandb_project: FungiTastic | |
| wandb_run_id: qxlwlccn | |
| workers: 8 | |