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config.yaml
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accumulation_steps: 8
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architecture: resnet18.a1_in1k
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augmentations: vit_heavy
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batch_size: 32
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dataset: FungiTastic-Mini
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epochs: 50
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exp_name: exp2
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exp_path: ../runs/resnet18.a1_in1k-SeeSawLoss-vit_heavy/exp2
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image_size:
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- 224
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- 224
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learning_rate: 0.1
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loss: SeeSawLoss
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multigpu: false
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number_of_classes: 215
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optimizer: SGD
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random_seed: 777
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root_path: ../
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run_name: resnet18.a1_in1k-SeeSawLoss-vit_heavy
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scheduler: plateau
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tags:
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- FungiTastic-Mini
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- 224x224
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- Convolutional
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test_samples: 9412
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train: null
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training_samples: 46842
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wandb_entity: zcu_cv
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wandb_project: FungiTastic
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wandb_run_id: 1ojf26pk
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workers: 8
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