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Fix evaluation during training
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@ -105,10 +105,10 @@ def train(cmd, lang, output_dir, train_data, dev_data, n_iter=20, n_sents=0,
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nlp.to_disk(epoch_model_path)
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nlp_loaded = lang_class(pipeline=pipeline)
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nlp_loaded = nlp_loaded.from_disk(epoch_model_path)
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scorer = nlp.evaluate(
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corpus.dev_docs(
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nlp,
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gold_preproc=gold_preproc))
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scorer = nlp_loaded.evaluate(
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list(corpus.dev_docs(
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nlp_loaded,
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gold_preproc=gold_preproc)))
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acc_loc =(output_path / ('model%d' % i) / 'accuracy.json')
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with acc_loc.open('w') as file_:
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file_.write(json_dumps(scorer.scores))
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