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+ # pytorch_lightning==2.0.2
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+ seed_everything: true
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+ trainer:
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+ accelerator: gpu
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+ strategy: auto
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+ devices: 1
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+ num_nodes: 1
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+ precision: 16-mixed
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+ logger:
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+ class_path: pytorch_lightning.loggers.CSVLogger
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+ init_args:
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+ save_dir: output
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+ name: nuts
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+ version: null
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+ prefix: ''
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+ flush_logs_every_n_steps: 100
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+ callbacks: null
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+ fast_dev_run: false
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+ max_epochs: null
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+ min_epochs: null
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+ max_steps: 5000
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+ min_steps: null
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+ max_time: null
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+ limit_train_batches: null
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+ limit_val_batches: null
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+ limit_test_batches: null
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+ limit_predict_batches: null
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+ overfit_batches: 0.0
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+ val_check_interval: 500
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+ check_val_every_n_epoch: null
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+ num_sanity_val_steps: null
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+ log_every_n_steps: null
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+ enable_checkpointing: null
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+ enable_progress_bar: null
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+ enable_model_summary: null
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+ accumulate_grad_batches: 1
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+ gradient_clip_val: null
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+ gradient_clip_algorithm: null
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+ deterministic: null
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+ benchmark: null
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+ use_distributed_sampler: true
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+ profiler: null
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+ detect_anomaly: false
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+ sync_batchnorm: false
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+ reload_dataloaders_every_n_epochs: 0
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+ model_name: vit-b16-224-in21k
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+ optimizer: sgd
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+ lr: 0.01
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+ betas:
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+ - 0.9
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+ - 0.999
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+ - value
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+ lora_dropout: 0.0
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+ dataset: custom
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+ root: data/
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+ num_classes: 10
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+ size: 224
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+ min_scale: 0.08
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+ max_scale: 1.0
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+ flip_prob: 0.5
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+ dirpath: null
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+ filename: best-step-{step}-{val_acc:.4f}
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+ monitor: val_acc
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+ verbose: false
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+ save_last: true
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+ save_weights_only: false
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+ mode: max
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+ auto_insert_metric_name: true
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+ model_name: vit-b16-224-in21k
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+ optimizer: sgd
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+ lr: 0.01
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+ betas:
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+ - 0.9
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+ - 0.999
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+ momentum: 0.9
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+ weight_decay: 0.0
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+ scheduler: cosine
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+ warmup_steps: 500
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+ n_classes: 10
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+ mixup_alpha: 0.0
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+ cutmix_alpha: 0.0
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+ lora_dropout: 0.0
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+ lora_bias: none
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+ from_scratch: false
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+ dataset: custom
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+ root: data/
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+ num_classes: 10
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+ size: 224
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+ min_scale: 0.08
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+ max_scale: 1.0
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