fix the bug for stopping the training
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Родитель
6f3c89f0a7
Коммит
b440661f6a
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@ -218,6 +218,7 @@ def train(config, data_folder, learning_rate=0.0001):
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min_val_loss = 10000000
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min_val_loss_epoch = -1
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model_state = {}
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break_flag = 0
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while True:
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start = time.time()
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@ -406,7 +407,11 @@ def train(config, data_folder, learning_rate=0.0001):
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"wb"),
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)
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# Let the training end.
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break_flag = 1
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break
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if break_flag == 1:
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logging.info("##### Training stopped #####")
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break
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logging.info("Evaluating on NLI")
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n_correct = 0.0
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n_wrong = 0.0
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