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Don't unset example docs
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@ -271,10 +271,6 @@ def train(
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update_meta(training, nlp, info)
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update_meta(training, nlp, info)
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nlp.to_disk(output_path / "model-best")
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nlp.to_disk(output_path / "model-best")
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progress = tqdm.tqdm(total=training["eval_frequency"], leave=False)
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progress = tqdm.tqdm(total=training["eval_frequency"], leave=False)
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# Clean up the objects to faciliate garbage collection.
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for eg in batch:
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eg.reference = None
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eg.predicted = None
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except Exception as e:
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except Exception as e:
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if output_path is not None:
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if output_path is not None:
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msg.warn(
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msg.warn(
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