Download configs/hyper_parameters.yaml from UMNSHAMLAB/segresnet: direct link, hf CLI and curl.
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https://huggingface.co/UMNSHAMLAB/segresnet/resolve/main/configs/hyper_parameters.yaml
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hf download hf://UMNSHAMLAB/segresnet/configs/hyper_parameters.yaml
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curl -L -o hyper_parameters.yaml https://huggingface.co/UMNSHAMLAB/segresnet/resolve/main/configs/hyper_parameters.yaml
2.54 kB
| _meta_: {} | |
| bundle_root: /Users/sakshirathi/Downloads/work_dir/segresnet_0 | |
| ckpt_path: $@bundle_root + '/model' | |
| mlflow_tracking_uri: $@ckpt_path + '/mlruns/' | |
| mlflow_experiment_name: Auto3DSeg | |
| data_file_base_dir: /Users/sakshirathi/Documents/ShamLab | |
| data_list_file_path: /Users/sakshirathi/Downloads/work_dir/dataset_local.json | |
| modality: ct | |
| fold: 0 | |
| input_channels: 1 | |
| output_classes: 2 | |
| class_names: null | |
| class_index: null | |
| debug: false | |
| ckpt_save: true | |
| cache_rate: null | |
| roi_size: [384, 384, 60] | |
| auto_scale_allowed: true | |
| auto_scale_batch: true | |
| auto_scale_roi: false | |
| auto_scale_filters: false | |
| quick: false | |
| channels_last: true | |
| validate_final_original_res: true | |
| calc_val_loss: false | |
| amp: true | |
| log_output_file: null | |
| cache_class_indices: null | |
| early_stopping_fraction: 0.001 | |
| determ: false | |
| orientation_ras: true | |
| crop_foreground: true | |
| learning_rate: 0.0002 | |
| batch_size: 1 | |
| num_images_per_batch: 1 | |
| num_epochs: 1250 | |
| num_warmup_epochs: 3 | |
| sigmoid: false | |
| resample: true | |
| resample_resolution: [0.48766356436698155, 0.4876635832539761, 2.748479210553717] | |
| crop_mode: ratio | |
| normalize_mode: range | |
| intensity_bounds: [39.63595217750186, 97.59593563988095] | |
| num_epochs_per_validation: null | |
| num_epochs_per_saving: 1 | |
| num_workers: 4 | |
| num_steps_per_image: null | |
| num_crops_per_image: 2 | |
| loss: {_target_: DiceCELoss, include_background: true, squared_pred: true, smooth_nr: 0, | |
| smooth_dr: 1.0e-05, softmax: $not @sigmoid, sigmoid: $@sigmoid, to_onehot_y: $not | |
| @sigmoid} | |
| optimizer: {_target_: torch.optim.AdamW, lr: '@learning_rate', weight_decay: 1.0e-05} | |
| network: | |
| _target_: SegResNetDS | |
| init_filters: 32 | |
| blocks_down: [1, 2, 2, 4, 4] | |
| norm: INSTANCE_NVFUSER | |
| in_channels: '@input_channels' | |
| out_channels: '@output_classes' | |
| dsdepth: 4 | |
| finetune: {enabled: false, ckpt_name: $@bundle_root + '/model/model.pt'} | |
| validate: {enabled: false, ckpt_name: $@bundle_root + '/model/model.pt', output_path: $@bundle_root | |
| + '/prediction_validation', save_mask: false, invert: true} | |
| infer: {enabled: false, ckpt_name: $@bundle_root + '/model/model.pt', output_path: $@bundle_root | |
| + '/prediction_' + @infer#data_list_key, data_list_key: testing} | |
| anisotropic_scales: true | |
| spacing_median: [0.48766356436698155, 0.4876635832539761, 4.770811902267695] | |
| spacing_lower: [0.42813486948609353, 0.428134856247896, 2.499999978382533] | |
| spacing_upper: [0.5859375, 0.5859375004856939, 5.012642938162783] | |
| image_size_mm_median: [249.68374495589455, 249.68375462603575, 168.30083390623668] | |
| image_size_mm_90: [265.61599121093747, 265.6159922216141, 190.12765338720757] | |
| image_size: [544, 544, 69] | |