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I can not get the corresponding result in readme, and does anyone else has once get the corresponding result(that is, BLUE ≈ 26)
I wonder if author's language pack version used is different from mine, which leads to a large gap between the experimental results and the one in README .
The text was updated successfully, but these errors were encountered:
Are you evaluating the saved model without re-training? This could be happening because the code doesn't seem to be seeded using torch.manual_seed, so the token embeddings are randomized every time you load the model.
I can not get the corresponding result in readme, and does anyone else has once get the corresponding result(that is, BLUE ≈ 26)
I wonder if author's language pack version used is different from mine, which leads to a large gap between the experimental results and the one in README .
The text was updated successfully, but these errors were encountered: