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marcoyang1998 2024-01-09 07:44:23 +00:00
parent 6dfba8b4a3
commit a1d1f2e434
3 changed files with 11 additions and 20 deletions
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11
_sources/recipes/RNN-LM/librispeech/lm-training.rst.txt
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@ -77,7 +77,7 @@ The next step is to train the RNNLM model. The training command is as follows:
--use-fp16 0 \ --use-fp16 0 \
--tie-weights 1 \ --tie-weights 1 \
--embedding-dim 2048 \ --embedding-dim 2048 \
--hidden_dim 2048 \ --hidden-dim 2048 \
--num-layers 3 \ --num-layers 3 \
--batch-size 300 \ --batch-size 300 \
--lm-data rnn_lm/data/lang_bpe_500/sorted_lm_data.pt \ --lm-data rnn_lm/data/lang_bpe_500/sorted_lm_data.pt \
@ -93,12 +93,3 @@ The next step is to train the RNNLM model. The training command is as follows:
.. note:: .. note::
The training of RNNLM can take a long time (usually a couple of days). The training of RNNLM can take a long time (usually a couple of days).

2
recipes/RNN-LM/librispeech/lm-training.html
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@ -162,7 +162,7 @@ $<span class="w"> </span>./rnn_lm/train.py<span class="w"> </span><span class="s
<span class="w"> </span>--use-fp16<span class="w"> </span><span class="m">0</span><span class="w"> </span><span class="se">\</span> <span class="w"> </span>--use-fp16<span class="w"> </span><span class="m">0</span><span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--tie-weights<span class="w"> </span><span class="m">1</span><span class="w"> </span><span class="se">\</span> <span class="w"> </span>--tie-weights<span class="w"> </span><span class="m">1</span><span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--embedding-dim<span class="w"> </span><span class="m">2048</span><span class="w"> </span><span class="se">\</span> <span class="w"> </span>--embedding-dim<span class="w"> </span><span class="m">2048</span><span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--hidden_dim<span class="w"> </span><span class="m">2048</span><span class="w"> </span><span class="se">\</span> <span class="w"> </span>--hidden-dim<span class="w"> </span><span class="m">2048</span><span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--num-layers<span class="w"> </span><span class="m">3</span><span class="w"> </span><span class="se">\</span> <span class="w"> </span>--num-layers<span class="w"> </span><span class="m">3</span><span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--batch-size<span class="w"> </span><span class="m">300</span><span class="w"> </span><span class="se">\</span> <span class="w"> </span>--batch-size<span class="w"> </span><span class="m">300</span><span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--lm-data<span class="w"> </span>rnn_lm/data/lang_bpe_500/sorted_lm_data.pt<span class="w"> </span><span class="se">\</span> <span class="w"> </span>--lm-data<span class="w"> </span>rnn_lm/data/lang_bpe_500/sorted_lm_data.pt<span class="w"> </span><span class="se">\</span>

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searchindex.js
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