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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: 1
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+ architecture: tf_efficientnet_b5.ap_in1k
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+ augmentations: light
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+ batch_size: 64
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+ dataset: DF20
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+ epochs: 100
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+ exp_name: exp3
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+ exp_path: ../runs/tf_efficientnet_b5.ap_in1k-CrossEntropyLoss-light/exp3
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+ image_size:
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+ - 299
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+ - 299
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+ learning_rate: 0.01
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+ loss: CrossEntropyLoss
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+ multigpu: false
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+ number_of_classes: 1604
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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: tf_efficientnet_b5.ap_in1k-CrossEntropyLoss-light
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+ scheduler: plateau
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+ tags:
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+ - DF20_FIX
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+ - 299x299
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+ - Production
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+ test_samples: 29665
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+ train: null
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+ training_samples: 266273
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+ wandb_entity: zcu_cv
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+ wandb_project: DanishFungi2023
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+ wandb_run_id: 2xof8zkm
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+ workers: 6