Merge pull request #598 from burcturkoglu/master
Updating learning rate with special warm up in examples
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commit
3fc63f126d
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@ -315,8 +315,7 @@ def main():
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if args.fp16:
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# modify learning rate with special warm up BERT uses
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# if args.fp16 is False, BertAdam is used that handles this automatically
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lr_this_step = args.learning_rate * warmup_linear.get_lr(global_step/num_train_optimization_steps,
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args.warmup_proportion)
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lr_this_step = args.learning_rate * warmup_linear.get_lr(global_step, args.warmup_proportion)
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for param_group in optimizer.param_groups:
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param_group['lr'] = lr_this_step
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optimizer.step()
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@ -604,8 +604,7 @@ def main():
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if args.fp16:
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# modify learning rate with special warm up BERT uses
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# if args.fp16 is False, BertAdam is used that handles this automatically
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lr_this_step = args.learning_rate * warmup_linear.get_lr(global_step/num_train_optimization_steps,
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args.warmup_proportion)
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lr_this_step = args.learning_rate * warmup_linear.get_lr(global_step, args.warmup_proportion)
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for param_group in optimizer.param_groups:
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param_group['lr'] = lr_this_step
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optimizer.step()
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@ -855,8 +855,7 @@ def main():
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if args.fp16:
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# modify learning rate with special warm up BERT uses
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# if args.fp16 is False, BertAdam is used that handles this automatically
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lr_this_step = args.learning_rate * warmup_linear.get_lr(global_step/num_train_optimization_steps,
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args.warmup_proportion)
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lr_this_step = args.learning_rate * warmup_linear.get_lr(global_step, args.warmup_proportion)
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for param_group in optimizer.param_groups:
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param_group['lr'] = lr_this_step
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optimizer.step()
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@ -1016,8 +1016,7 @@ def main():
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if args.fp16:
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# modify learning rate with special warm up BERT uses
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# if args.fp16 is False, BertAdam is used and handles this automatically
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lr_this_step = args.learning_rate * warmup_linear.get_lr(global_step/num_train_optimization_steps,
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args.warmup_proportion)
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lr_this_step = args.learning_rate * warmup_linear.get_lr(global_step, args.warmup_proportion)
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for param_group in optimizer.param_groups:
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param_group['lr'] = lr_this_step
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optimizer.step()
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@ -467,8 +467,7 @@ def main():
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if args.fp16:
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# modify learning rate with special warm up BERT uses
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# if args.fp16 is False, BertAdam is used that handles this automatically
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lr_this_step = args.learning_rate * warmup_linear.get_lr(global_step/num_train_optimization_steps,
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args.warmup_proportion)
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lr_this_step = args.learning_rate * warmup_linear.get_lr(global_step, args.warmup_proportion)
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for param_group in optimizer.param_groups:
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param_group['lr'] = lr_this_step
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optimizer.step()
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