PRIMER / config.json
Aakash-Tripathi's picture
Upload 5 files
ed863e8 verified
{
"model_type": "primer",
"architecture": "resnet50",
"task": "feature-extraction",
"framework": "pytorch",
"model_config": {
"architecture": "resnet50",
"pretrained_radimagenet": true,
"embedding_dim": 2048,
"projection_dim": 128,
"dropout": 0.2,
"freeze_backbone": false,
"use_projection_head": true
},
"input_config": {
"image_size": 224,
"num_channels": 3,
"input_shape": [3, 224, 224],
"data_format": "channels_first",
"color_mode": "rgb"
},
"preprocessing_config": {
"use_clahe": true,
"clahe_clip_limit": 2.0,
"clahe_tile_grid_size": [8, 8],
"normalize_hu": true,
"percentile_clip": [2, 98],
"normalization": {
"mean": [0.485, 0.456, 0.406],
"std": [0.229, 0.224, 0.225],
"description": "ImageNet normalization (required for RadImageNet compatibility)"
}
},
"training_config": {
"method": "contrastive",
"framework": "simclr",
"batch_size": 128,
"num_epochs": 50,
"learning_rate": 0.0001,
"weight_decay": 0.00001,
"warmup_epochs": 10,
"patience": 15,
"gradient_clip": 1.0,
"optimizer": {
"name": "adamw",
"betas": [0.9, 0.999]
},
"scheduler": {
"name": "cosine",
"min_lr": 0.000001
}
},
"contrastive_learning": {
"loss": "nt_xent",
"temperature": 0.07,
"use_cosine_similarity": true,
"negative_samples": "all",
"description": "NT-Xent (Normalized Temperature-scaled Cross Entropy) loss from SimCLR"
},
"augmentation_config": {
"horizontal_flip": 0.5,
"vertical_flip": 0.3,
"rotate_limit": 15,
"brightness_limit": 0.2,
"contrast_limit": 0.2,
"shift_scale_rotate": true,
"elastic_transform": false,
"grid_distortion": false
},
"data_config": {
"dataset": "CMMD",
"train_split": 0.7,
"val_split": 0.15,
"test_split": 0.15,
"random_seed": 42,
"num_training_samples": 13000,
"modality": "mammography",
"format": "dicom"
},
"output_config": {
"embedding_dim": 2048,
"normalize_embeddings": true,
"normalization_type": "l2"
},
"hardware_config": {
"mixed_precision": true,
"gpu_memory_required": "12GB",
"recommended_batch_size": 128
},
"metrics": {
"silhouette_score": 0.289,
"davies_bouldin_score": 1.653,
"calinski_harabasz_score": 3621,
"embedding_variance": 0.024
},
"version": "1.0.0",
"pytorch_version": "2.1.0",
"timm_version": "0.9.12"
}