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I'm trying to use faster-rnnlm on a 3B word dataset and would like to use the optimal hyperparameters you obtained in the One Billion Word benchmark.
In particular, the end of this section https://github.com/yandex/faster-rnnlm#one-billion-word-benchmark contains the sentence:
Note. We took the best performing models from the previous and added maxent layer of size 1000 and order 3.
Is there any way you can provide what those hyperparameters are for each of the three models graphed?
Thanks!
The text was updated successfully, but these errors were encountered:
Hi! Check out results file: https://github.com/yandex/faster-rnnlm/blob/master/doc/RESULTS.md It contains command line arguments for the benchmark.
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Thank you. This line in the README should be corrected:
In the RESULTS.md file, the best performing models use --direct-order 4 --direct 1000, not order 3.
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I'm trying to use faster-rnnlm on a 3B word dataset and would like to use the optimal hyperparameters you obtained in the One Billion Word benchmark.
In particular, the end of this section https://github.com/yandex/faster-rnnlm#one-billion-word-benchmark contains the sentence:
Is there any way you can provide what those hyperparameters are for each of the three models graphed?
Thanks!
The text was updated successfully, but these errors were encountered: