| name: "BDA_Deeplabv3plus_ResNet101_CCE" | |
| model_type: "MaskedTower" | |
| model: "MaskedDeepLabV3PlusResNet" | |
| task: "BDA" | |
| training: | |
| training_parameters: | |
| gradient_clip_val: 10.0 | |
| alpha: 0.25 | |
| batch_size: 1 | |
| gamma: 2 | |
| grad_accumulation: 8 | |
| l1_reg: 1.0e-06 | |
| l2_reg: 1.0e-05 | |
| log_images_every_n_steps: 500 | |
| mask_x: 1024 | |
| mask_y: 1024 | |
| max_epochs: 1000 | |
| optimizer_parameters: | |
| name: "AdamW" | |
| lr: 0.0005 | |
| weight_decay: 0.00001 | |
| output_class_weights_strategy: "ipw" | |
| normalize_weights: False | |
| output_class_weights: | |
| background: 1.0e-06 | |
| no damage: 1.76 | |
| major damage: 9.32 | |
| minor damage: 3.68 | |
| destroyed: 33.4 | |
| un-classified: 40.06 | |
| tile_x: 1024 | |
| tile_y: 1024 | |
| loss_parameters: | |
| loss: [["cross entropy", 1.0]] | |
| gamma: 2 | |
| alpha: 0.25 | |
| bins: 10 | |
| momentum: 0.9 | |
| smooth: 1.0e-06 | |
| validation: | |
| validation_parameters: | |
| validation_monitor: "val_macro_f1" | |
| validation_monitor_mode: "max" | |
| validation_checkpoint_save_top_k: 3 | |
| validation_reduce_lr_on_plateau_cooldown: 3 | |
| validation_reduce_lr_on_plateau_patience: 3 | |
| batch_size: 2 | |
| input: | |
| normalized_inputs: true | |
| mask_input: false | |
| model_parameters: | |
| n_cls: 6 | |
| encoder_parameters: | |
| depth: 101 | |
| num_stages: 4 | |
| out_indices: [0, 1, 2, 3] | |
| dilations: [1, 1, 2, 4] | |
| strides: [1, 2, 1, 1] | |
| norm_eval: False | |
| contract_dilation: True | |
| decoder_parameters: | |
| in_channels: 2048 | |
| in_index: 3 | |
| channels: 512 | |
| dilations: [1, 12, 24, 36] | |
| c1_in_channels: 256 | |
| c1_channels: 48 | |
| dropout_ratio: 0.1 | |
| align_corners: False | |
| auxiliary_head_parameters: | |
| in_channels: 1024 | |
| in_index: 2 | |
| channels: 256 | |
| num_convs: 1 | |
| concat_input: False | |
| dropout_ratio: 0.1 | |
| align_corners: False |