fix #726 - get_lr in examples
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@@ -313,7 +313,8 @@ def main():
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optimizer.zero_grad()
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global_step += 1
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if args.local_rank in [-1, 0]:
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tb_writer.add_scalar('lr', optimizer.get_lr()[0], global_step)
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if not args.fp16:
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tb_writer.add_scalar('lr', optimizer.get_lr()[0], global_step)
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tb_writer.add_scalar('loss', loss.item(), global_step)
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if args.do_train and (args.local_rank == -1 or torch.distributed.get_rank() == 0):
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@@ -319,7 +319,8 @@ def main():
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optimizer.zero_grad()
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global_step += 1
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if args.local_rank in [-1, 0] and (args.log_every <= 0 or (step + 1) % args.log_every == 0):
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tb_writer.add_scalar('lr', optimizer.get_lr()[0], global_step)
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if not args.fp16:
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tb_writer.add_scalar('lr', optimizer.get_lr()[0], global_step)
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tb_writer.add_scalar('loss', loss.item(), global_step)
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### Saving best-practices: if you use defaults names for the model, you can reload it using from_pretrained()
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@@ -313,7 +313,8 @@ def main():
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optimizer.zero_grad()
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global_step += 1
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if args.local_rank in [-1, 0]:
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tb_writer.add_scalar('lr', optimizer.get_lr()[0], global_step)
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if not args.fp16:
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tb_writer.add_scalar('lr', optimizer.get_lr()[0], global_step)
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tb_writer.add_scalar('loss', loss.item(), global_step)
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if args.do_train and (args.local_rank == -1 or torch.distributed.get_rank() == 0):
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