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Fix ineffective no_decay bug

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xiaoda99
2018-11-18 16:16:21 +08:00
committed by GitHub
parent 956c917344
commit 6c4789e4e8
1 changed files with 2 additions and 2 deletions
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4
examples/run_classifier.py
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@@ -503,8 +503,8 @@ def main():
param_optimizer = list(model.named_parameters()) param_optimizer = list(model.named_parameters())
no_decay = ['bias', 'gamma', 'beta'] no_decay = ['bias', 'gamma', 'beta']
optimizer_grouped_parameters = [ optimizer_grouped_parameters = [
{'params': [p for n, p in param_optimizer if n not in no_decay], 'weight_decay_rate': 0.01}, {'params': [p for n, p in param_optimizer if not any(nd in n for nd in no_decay)], 'weight_decay_rate': 0.01},
{'params': [p for n, p in param_optimizer if n in no_decay], 'weight_decay_rate': 0.0} {'params': [p for n, p in param_optimizer if any(nd in n for nd in no_decay)], 'weight_decay_rate': 0.0}
] ]
optimizer = BertAdam(optimizer_grouped_parameters, optimizer = BertAdam(optimizer_grouped_parameters,
lr=args.learning_rate, lr=args.learning_rate,