config
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e90efe3163
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@ -1,7 +1,7 @@
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loss : mse
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metric : mae
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lr : 0.0001
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ReduceLr_patience : 5
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metric : mse
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lr : 0.001
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ReduceLr_patience : 10
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ReduceLr_factor : 0.1
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min_lr : 0.000001
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EarlyStopping_factor : 10
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EarlyStopping_factor : 20
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@ -2,14 +2,14 @@ _target_: pytorch_lightning.Trainer
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accelerator: auto
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accumulate_grad_batches: 1
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amp_backend: native
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auto_lr_find: True
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auto_lr_find: False
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auto_scale_batch_size: False
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auto_select_gpus: True
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benchmark: False
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check_val_every_n_epoch: 1
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check_val_every_n_epoch: 10
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detect_anomaly: False
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deterministic: False
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devices: auto
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devices: 2
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enable_checkpointing: True
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enable_model_summary: True
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enable_progress_bar: True
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@ -23,7 +23,7 @@ limit_test_batches: 1.0
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limit_train_batches: 1.0
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limit_val_batches: 1.0
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log_every_n_steps: 50
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max_epochs: 10
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max_epochs: 500
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max_time: null
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min_epochs: 1
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min_steps: null
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