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update results based on dynamicbucketsampler

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luomingshuang 2022-05-17 11:58:03 +08:00
parent 822fe21a83
commit e1b9211de2
2 changed files with 4 additions and 4 deletions
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4
README.md
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@ -228,8 +228,8 @@ _pruned_transducer_stateless2].
| | Dev | Test |
|----------------------|-------|-------|
| greedy search | 5.53 | 6.59 |
| fast beam search | 5.29 | 6.33 |
| modified beam search | 5.28 | 6.32 |
| fast beam search | 5.30 | 6.34 |
| modified beam search | 5.27 | 6.33 |
We provide a Colab notebook to run a pre-trained Pruned Transducer Stateless model: [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)(https://colab.research.google.com/drive/1wNSnSj3T5oOctbh5IGCa393gKOoQw2GH?usp=sharing)

4
egs/aidatatang_200zh/ASR/RESULTS.md
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@ -11,8 +11,8 @@ The WERs are
| | dev | test | comment |
|------------------------------------|------------|------------|------------------------------------------|
| greedy search | 5.53 | 6.59 | --epoch 29, --avg 19, --max-duration 100 |
| modified beam search (beam size 4) | 5.28 | 6.32 | --epoch 29, --avg 19, --max-duration 100 |
| fast beam search (set as default) | 5.29 | 6.33 | --epoch 29, --avg 19, --max-duration 1500|
| modified beam search (beam size 4) | 5.27 | 6.33 | --epoch 29, --avg 19, --max-duration 100 |
| fast beam search (set as default) | 5.30 | 6.34 | --epoch 29, --avg 19, --max-duration 1500|
The training command for reproducing is given below: