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Set batch count less frequently
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@ -858,7 +858,8 @@ def train_one_epoch(
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# NOTE: We use reduction==sum and loss is computed over utterances
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# NOTE: We use reduction==sum and loss is computed over utterances
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# in the batch and there is no normalization to it so far.
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# in the batch and there is no normalization to it so far.
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scaler.scale(loss).backward()
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scaler.scale(loss).backward()
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set_batch_count(model, params.batch_idx_train)
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if params.batch_idx_train % 10 == 0:
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set_batch_count(model, params.batch_idx_train)
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scheduler.step_batch(params.batch_idx_train)
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scheduler.step_batch(params.batch_idx_train)
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scaler.step(optimizer)
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scaler.step(optimizer)
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