Corrected the displayed loss when gradient_accumulation_steps > 1
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@@ -309,7 +309,7 @@ def main():
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nb_tr_examples += input_ids.size(0)
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nb_tr_steps += 1
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pbar.update(1)
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mean_loss = tr_loss / nb_tr_steps
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mean_loss = tr_loss * args.gradient_accumulation_steps / nb_tr_steps
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pbar.set_postfix_str(f"Loss: {mean_loss:.5f}")
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if (step + 1) % args.gradient_accumulation_steps == 0:
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if args.fp16:
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