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Upload config.yaml with huggingface_hub

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  1. config.yaml +31 -0
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+ accumulation_steps: 8
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+ architecture: resnext50_32x4d.a1_in1k
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+ augmentations: vit_heavy
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+ batch_size: 32
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+ dataset: DF24M
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+ epochs: 50
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+ exp_name: exp5
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+ exp_path: ../runs/resnext50_32x4d.a1_in1k-SeeSawLoss-vit_heavy/exp5
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+ image_size:
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+ - 384
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+ - 384
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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: 224
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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: resnext50_32x4d.a1_in1k-SeeSawLoss-vit_heavy
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+ scheduler: plateau
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+ tags:
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+ - DanishFungi2024
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+ - 224x224
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+ - test
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+ test_samples: 9526
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+ train: null
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+ training_samples: 47082
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+ wandb_entity: zcu_cv
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+ wandb_project: DF24
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+ wandb_run_id: d185et5p
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+ workers: 8