Weight anb Bias 시작 Code sample

.py 파일 형식

📰code

import wandb

wandb.init(project='NPDH', name=args.model + args.kfold_train + str(learning_rate), ##arg
    config={
    "batch size": batch_size,
    "epochs" : epochs,
    "learning rate": learning_rate,
})

### log 출력부
wandb.log({
        "val Accuracy" : acc, 
        "val Specificity" : spec,
        "val Sensitivity" : sens,
        "val Precision" : prec,
        "val Negative_Predicable_Value" : npv,
        "val F1score" : f1,
        "val total_mean" : (acc+spec+sens+prec+npv+f1)/6
})

🔍result

.ipynb 파일 형식

📰code

import wandb

os.environ['WANDB_NOTEBOOK_NAME'] = 'code.ipynb'
wandb.init(project='NPDH', name='NB1D_final_data',
    config={
    "batch size": batch_size,
    "epochs" : epochs,
    "learning rate": learning_rate,
    # "backborn" : 'se_resnext101_32x4d', 
    # "architecture" : 'Deeplabv3+', 
})

### log 출력부
wandb.log({
        "train Accuracy" : acc, 
        "train Specificity" : spec,
        "train Sensitivity" : sens,
        "train Precision" : prec,
        "train Negative_Predicable_Value" : npv,
        "train F1score" : f1,
        "train total_mean" : (acc+spec+sens+prec+npv+f1)/6
    })

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