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only on main process

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thomwolf 2019-06-18 14:03:46 +02:00
parent 326944d627
commit 335f57baf8
1 changed files with 5 additions and 3 deletions
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8
examples/run_squad.py
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@ -917,7 +917,8 @@ def main():
model = torch.nn.DataParallel(model)
if args.do_train:
writer = SummaryWriter()
if args.local_rank in [-1, 0]:
writer = SummaryWriter()
# Prepare data loader
train_examples = read_squad_examples(
input_file=args.train_file, is_training=True, version_2_with_negative=args.version_2_with_negative)
@ -1016,8 +1017,9 @@ def main():
else:
loss.backward()
if (step + 1) % args.gradient_accumulation_steps == 0:
writer.add_scalar('lr', optimizer.get_lr()[0], global_step)
writer.add_scalar('loss', loss.item(), global_step)
if args.local_rank in [-1, 0]:
writer.add_scalar('lr', optimizer.get_lr()[0], global_step)
writer.add_scalar('loss', loss.item(), global_step)
if args.fp16:
# modify learning rate with special warm up BERT uses
# if args.fp16 is False, BertAdam is used and handles this automatically