| accumulation_steps: 8 | |
| architecture: tf_efficientnetv2_b3.in21k_ft_in1k | |
| augmentations: vit_heavy | |
| batch_size: 32 | |
| dataset: DF24 | |
| epochs: 50 | |
| exp_name: exp8 | |
| exp_path: ../runs/tf_efficientnetv2_b3.in21k_ft_in1k-SeeSawLoss-vit_heavy/exp8 | |
| image_size: | |
| - 384 | |
| - 384 | |
| learning_rate: 0.1 | |
| loss: SeeSawLoss | |
| multigpu: false | |
| number_of_classes: 2943 | |
| optimizer: SGD | |
| random_seed: 777 | |
| root_path: ../ | |
| run_name: tf_efficientnetv2_b3.in21k_ft_in1k-SeeSawLoss-vit_heavy | |
| scheduler: plateau | |
| tags: | |
| - DF24-CloseSet | |
| - 384x384 | |
| - Convolutional | |
| test_samples: 90795 | |
| train: null | |
| training_samples: 436790 | |
| wandb_entity: zcu_cv | |
| wandb_project: DF24 | |
| wandb_run_id: wmng5q31 | |
| workers: 8 | |