mnist-resnet18 / config.json
SalazarPevelll
add training dynamic
88ebb5a
{
"SETTING": "normal",
"CLASSES": ["plane", "car", "bird", "cat", "deer", "dog", "frog", "horse", "ship", "truck"],
"DATASET": "cifar10",
"EPOCH_START": 1,
"EPOCH_END": 200,
"EPOCH_PERIOD": 1,
"GPU":0,
"TRAINING": {
"NET": "resnet18",
"loader_tr_args": {"batch_size": 128, "num_workers": 1},
"loader_te_args": {"batch_size": 1000, "num_workers": 1},
"optimizer_args": {"lr": 0.1, "momentum": 0.9, "weight_decay": 5e-4},
"num_class": 10,
"train_num": 50000,
"test_num": 10000,
"milestone":[160]
},
"VISUALIZATION":{
"S_LAMBDA":1,
"PREPROCESS":0,
"BOUNDARY":{
"B_N_EPOCHS": 0,
"L_BOUND":0.6
},
"INIT_NUM":300,
"ALPHA":0,
"BETA":0.1,
"MAX_HAUSDORFF":0.4,
"LAMBDA": 1.0,
"HIDDEN_LAYER":4,
"ENCODER_DIMS": [512,256,256,256,256,2],
"DECODER_DIMS": [2,256,256,256,256,512],
"N_NEIGHBORS":15,
"MAX_EPOCH": 20,
"S_N_EPOCHS": 5,
"T_N_EPOCHS": 100,
"PATIENT": 3,
"RESOLUTION":300,
"VIS_MODEL_NAME": "vis",
"EVALUATION_NAME": "evalution"
},
"DVI": {
"SETTING": "normal",
"CLASSES": ["plane", "car", "bird", "cat", "deer", "dog", "frog", "horse", "ship", "truck"],
"DATASET": "cifar10",
"GPU": "0",
"EPOCH_START": 150,
"EPOCH_END": 150,
"EPOCH_PERIOD": 1,
"EPOCH_NAME":"Epoch",
"TRAINING": {
"NET": "resnet18",
"loader_tr_args": {
"batch_size": 128,
"num_workers": 1
},
"loader_te_args": {
"batch_size": 1000,
"num_workers": 1
},
"optimizer_args": {
"lr": 0.1,
"momentum": 0.9,
"weight_decay": 0.0005
},
"num_class": 10,
"train_num": 50000,
"test_num": 10000,
"milestone": [
10
]
},
"VISUALIZATION": {
"PREPROCESS": 1,
"BOUNDARY": {
"B_N_EPOCHS": 0,
"L_BOUND": 0.4
},
"INIT_NUM":300,
"BATCH_SIZE":1000,
"LAMBDA1": 1.0,
"LAMBDA2": 0.3,
"ENCODER_DIMS_O": [512,256,256,256,256,2],
"DECODER_DIMS_O": [2,256,256,256,256,512],
"ENCODER_DIMS": [512,256,256,256,256,2],
"DECODER_DIMS": [2,256,256,256,256,512],
"N_NEIGHBORS": 15,
"MAX_EPOCH": 20,
"S_N_EPOCHS": 10,
"PATIENT": 3,
"RESOLUTION": 300,
"VIS_MODEL_NAME": "dvi",
"FLAG": "_temporal_id_withoutB",
"EVALUATION_NAME": "evaluation_tfDVI"
}
}
}