{ "backbone": "custom", "hf_repo": "ImageInpainters/liBERTy3.0", "download_model": true, "upload_model": true, "upload_epochs": 1, "data_root": "/kaggle/input/datasets/awsaf49/coco-2017-dataset/coco2017", "train_dir": "/kaggle/input/datasets/awsaf49/coco-2017-dataset/coco2017/train2017", "val_dir": "/kaggle/input/datasets/awsaf49/coco-2017-dataset/coco2017/val2017", "train_ann_file": "/kaggle/input/datasets/awsaf49/coco-2017-dataset/coco2017/annotations/instances_train2017.json", "val_ann_file": "/kaggle/input/datasets/awsaf49/coco-2017-dataset/coco2017/annotations/instances_val2017.json", "img_size": 128, "patch_size": 8, "batch_size": 16, "val_batch_size": 8, "num_workers": 2, "epochs": 20, "dim": 192, "depth": 6, "heads": 6, "mlp_ratio": 4.0, "dropout": 0.1, "decoder_dim": 192, "lr": 0.0002, "encoder_lr_scale": 0.1, "weight_decay": 0.0001, "valid_weight": 0.0, "boundary_weight": 0.05, "grad_weight": 0.05, "boundary_kernel_size": 7, "object_sample_prob": 0.6, "dilate_object_mask_px": 4, "min_object_area_ratio": 0.01, "max_object_area_ratio": 0.4, "min_paste_scale": 0.7, "max_paste_scale": 1.3, "pretrained_model_name": "google/vit-base-patch16-224-in21k", "freeze_pretrained_embeddings": true, "freeze_pretrained_blocks": 8, "output_dir": "/kaggle/working/outputs_inpaint_bert" }