Args: patience (int): How long to wait after last time validation loss improved. Default: 7 verbose (bool): If True, prints a message for each validation loss improvement. Default: False delta (float
(self, patience=7, verbose=False, delta=0)
| 155 | """Early stops the training if validation loss doesn't improve after a given patience.""" |
| 156 | |
| 157 | def __init__(self, patience=7, verbose=False, delta=0): |
| 158 | """ |
| 159 | Args: |
| 160 | patience (int): How long to wait after last time validation loss improved. |
| 161 | Default: 7 |
| 162 | verbose (bool): If True, prints a message for each validation loss improvement. |
| 163 | Default: False |
| 164 | delta (float): Minimum change in the monitored quantity to qualify as an improvement. |
| 165 | Default: 0 |
| 166 | """ |
| 167 | self.patience = patience |
| 168 | self.verbose = verbose |
| 169 | self.counter = 0 |
| 170 | self.best_score = None |
| 171 | self.early_stop = False |
| 172 | self.val_loss_min = np.Inf |
| 173 | self.delta = delta |
| 174 | self.model_path = "hdd_data/prepare_dataset/model/model.pt" |
| 175 | |
| 176 | def __call__(self, val_loss, model=None): |
| 177 |
nothing calls this directly
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no test coverage detected