Fixed progress bar output for epoch
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@ -228,7 +228,7 @@ def train_embedding(embedding_name, learn_rate, data_root, log_directory, traini
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optimizer.step()
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epoch_num = math.floor(embedding.step / epoch_len)
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epoch_step = embedding.step - (epoch_num * epoch_len)
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epoch_step = embedding.step - (epoch_num * epoch_len) + 1
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pbar.set_description(f"[Epoch {epoch_num}: {epoch_step}/{epoch_len}]loss: {losses.mean():.7f}")
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