_target_: pytorch_lightning.Trainer accelerator: cpu accumulate_grad_batches: 1 amp_backend: native auto_lr_find: False auto_scale_batch_size: False auto_select_gpus: True benchmark: False check_val_every_n_epoch: 1 detect_anomaly: False deterministic: False devices: 1 enable_checkpointing: True enable_model_summary: True enable_progress_bar: True fast_dev_run: False gpus: null gradient_clip_val: 0 gradient_clip_algorithm: norm ipus: null limit_predict_batches: 1.0 limit_test_batches: 1.0 limit_train_batches: 1.0 limit_val_batches: 1.0 log_every_n_steps: 100 max_epochs: 400 max_time: 00:47:00:00 min_epochs: 1 min_steps: null move_metrics_to_cpu: False multiple_trainloader_mode: max_size_cycle num_nodes: 1 num_processes: 1 num_sanity_val_steps: 2 overfit_batches: 0.0 precision: 32 profiler: null reload_dataloaders_every_n_epochs: 0 replace_sampler_ddp: True strategy: null sync_batchnorm: False tpu_cores: null track_grad_norm: -1 val_check_interval: 1.0 weights_save_path: null