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Fix eval batch size
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@ -337,9 +337,9 @@ def create_evaluation_callback(nlp, optimizer, corpus, cfg):
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if optimizer.averages:
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with nlp.use_params(optimizer.averages):
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scorer = nlp.evaluate(dev_examples, batch_size=eval_batch_size)
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scorer = nlp.evaluate(dev_examples, batch_size=batch_size)
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else:
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scorer = nlp.evaluate(dev_examples, batch_size=eval_batch_size)
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scorer = nlp.evaluate(dev_examples, batch_size=batch_size)
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end_time = timer()
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wps = n_words / (end_time - start_time)
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scores = scorer.scores
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