mirror of https://github.com/explosion/spaCy.git
Fix averages
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@ -159,6 +159,7 @@ def train(
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print_row(info)
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if is_best_checkpoint and output_path is not None:
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update_meta(T_cfg, nlp, info)
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with nlp.use_params(optimizer.averages):
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nlp.to_disk(output_path / "model-best")
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progress = tqdm.tqdm(total=T_cfg["eval_frequency"], leave=False)
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progress.set_description(f"Epoch {info['epoch']}")
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