liBERTy3.0 / config.json
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Epoch 1: improved checkpoint (val_loss=0.1428)
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{
"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"
}