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Create config.json
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{
"model_type": "resnet",
"model_name": "Resnet18_pnuemonia_binaryclassification",
"architecture": "resnet18",
"task": "image-classification",
"num_labels": 2,
"label2id": {
"Normal": 0,
"Pneumonia": 1
},
"id2label": {
"0": "Normal",
"1": "Pneumonia"
},
"input_size": [224, 224],
"pretrained": true,
"weights": "models.ResNet18_Weights.DEFAULT",
"classifier_dropout": 0.5,
"batch_size": 512,
"epochs": 25,
"optimizer": "AdamW",
"optimizer_params": {
"lr": 1e-4,
"betas": [0.9, 0.999],
"eps": 1e-8,
"weight_decay": 1e-4
},
"scheduler": {
"type": "OneCycleLR",
"max_lr": [1e-4, 1e-4, 1e-4, 1e-4, 1e-4, 1e-3],
"epochs": 25,
"pct_start": 0.3,
"anneal_strategy": "cos"
},
"loss_function": "FocalLoss",
"focal_loss_params": {
"alpha": 1,
"gamma": 2
},
"augmentation": {
"resize": [224, 224],
"random_flip": 0.5,
"random_affine": {
"degrees": [-10, 10],
"translate": [0.1, 0.1],
"scale": [0.9, 1.1]
},
"color_jitter": {
"brightness": 0.3,
"contrast": 0.3
},
"random_blur": 0.2,
"random_erasing": 0.2
},
"early_stopping_patience": 5,
"device": "cuda"
}