47 lines
		
	
	
		
			995 B
		
	
	
	
		
			YAML
		
	
	
	
			
		
		
	
	
			47 lines
		
	
	
		
			995 B
		
	
	
	
		
			YAML
		
	
	
	
| _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_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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| detect_anomaly: False
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| deterministic: False
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| devices: -1
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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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| fast_dev_run: False
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| gpus: null
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| gradient_clip_val: 0
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| gradient_clip_algorithm: norm
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| ipus: null
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| limit_predict_batches: 1.0
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| 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: 3
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| max_steps: -1
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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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| move_metrics_to_cpu: False
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| multiple_trainloader_mode: max_size_cycle
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| num_nodes: 1
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| num_processes: 1
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| num_sanity_val_steps: 2
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| overfit_batches: 0.0
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| precision: 32
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| profiler: null
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| reload_dataloaders_every_n_epochs: 0
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| replace_sampler_ddp: True
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| strategy: null
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| sync_batchnorm: False
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| tpu_cores: null
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| track_grad_norm: -1
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| val_check_interval: 1.0
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| weights_save_path: null
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