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Update RESULTS.md
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### Aishell training result(Stateless Transducer)
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#### Pruned transducer stateless 7 streaming
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[./pruned_transducer_stateless7_streaming](./pruned_transducer_stateless7_streaming)
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It's Streaming version of Zipformer1 with Pruned RNNT loss.
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| | test | dev | comment |
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|------------------------|------|------|---------------------------------------|
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| greedy search | 6.95 | 6.29 | --epoch 44 --avg 15 --max-duration 600 |
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| modified beam search | 6.51 | 5.90 | --epoch 44 --avg 15 --max-duration 600 |
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| fast beam search | 6.73 | 6.09 | --epoch 44 --avg 15 --max-duration 600 |
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Training command is:
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```bash
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./prepare.sh
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export CUDA_VISIBLE_DEVICES="0,1"
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./pruned_transducer_stateless7_streaming/train.py \
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--world-size 2 \
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--num-epochs 50 \
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--use-fp16 1 \
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--context-size 1 \
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--max-duration 800 \
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--exp-dir ./pruned_transducer_stateless7_streaming/exp \
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--enable-musan 0 \
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--spec-aug-time-warp-factor 20
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```
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**Caution**: It uses `--context-size=1`.
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The decoding command is:
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```bash
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for m in greedy_search modified_beam_search fast_beam_search ; do
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./pruned_transducer_stateless7_streaming/decode.py \
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--epoch 44 \
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--avg 15 \
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--exp-dir ./pruned_transducer_stateless7_streaming/exp \
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--lang-dir data/lang_char \
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--context-size 1 \
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--decoding-method $m
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done
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```
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Pretrained models, training logs, decoding logs, tensorboard and decoding results
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are available at
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<https://huggingface.co/zrjin/icefall-asr-aishell-zipformer-pruned-transducer-stateless7-streaming-2023-10-16/>
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#### Pruned transducer stateless 7
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[./pruned_transducer_stateless7](./pruned_transducer_stateless7)
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