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@ -10,9 +10,9 @@ When training with context size equals to 1, the WERs are
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| | dev-ios | test-ios | comment |
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|------------------------------------|-------|----------|----------------------------------|
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| greedy search | | | --epoch 10, --avg 2, --max-duration 100 |
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| modified beam search (beam size 4) | | | --epoch 10, --avg 2, --max-duration 100 |
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| fast beam search (set as default) | | | --epoch 10, --avg 2, --max-duration 1500 |
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| greedy search | 5.57 | 5.89 | --epoch 10, --avg 2, --max-duration 100 |
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| modified beam search (beam size 4) | 5.32 | 5.56 | --epoch 10, --avg 2, --max-duration 100 |
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| fast beam search (set as default) | 5.5 | 5.78 | --epoch 10, --avg 2, --max-duration 1500 |
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The training command for reproducing is given below:
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@ -51,14 +51,13 @@ for method in greedy_search modified_beam_search fast_beam_search; do
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--encoder-dim 384 \
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--decoder-dim 512 \
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--joiner-dim 512 \
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--context-size 1 \
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--use-averaged-model True
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done
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```
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The tensorboard training log can be found at
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https:
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https://tensorboard.dev/experiment/RXyX4QjQQVKjBS2eQ2Qajg/#scalars
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A pre-trained model and decoding logs can be found at <https:>
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A pre-trained model and decoding logs can be found at <https://huggingface.co/yuekai/icefall-asr-aishell2-pruned-transducer-stateless5-B-2022-07-12>
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When training with context size equals to 2, the WERs are
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