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Update RESULTS.md
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### Aishell training result (Stateless Transducer)
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#### Zipformer (Byte-level BPE)
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[./zipformer_bbpe](./zipformer_bbpe/)
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It's reworked Zipformer with Pruned RNNT loss, trained with Byte-level BPE.
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##### normal-scaled model, number of model parameters: 65549011, i.e., 65.55 M
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| | test | dev | comment |
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|------------------------|------|------|-----------------------------------------|
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| greedy search | 4.54 | 4.31 | --epoch 40 --avg 10 |
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| modified beam search | 4.37 | 4.11 | --epoch 40 --avg 10 |
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| fast beam search | 4.43 | 4.17 | --epoch 40 --avg 10 |
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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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./zipformer_bbpe/train.py \
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--world-size 2 \
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--num-epochs 40 \
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--start-epoch 1 \
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--use-fp16 1 \
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--context-size 2 \
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--enable-musan 0 \
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--exp-dir zipformer/exp \
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--max-duration 1000 \
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--enable-musan 0 \
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--base-lr 0.045 \
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--lr-batches 7500 \
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--lr-epochs 10 \
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--spec-aug-time-warp-factor 20
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```
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Command for decoding 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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./zipformer/decode.py \
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--epoch 40 \
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--avg 10 \
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--exp-dir ./zipformer_bbpe/exp \
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--lang-dir data/lang_bbpe_500 \
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--context-size 2 \
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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-bbpe-2024-01-16>
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#### Zipformer (Non-streaming)
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[./zipformer](./zipformer)
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[./zipformer](./zipformer/)
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It's reworked Zipformer with Pruned RNNT loss.
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**Caution**: It uses `--context-size=1`.
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@ -260,7 +312,7 @@ done
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Pretrained models, training logs, decoding logs, and decoding results
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are available at
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<https://huggingface.co/marcoyang/icefall-asr-aishell-zipformer-pruned-transducer-stateless7-2023-03-21>
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#### Pruned transducer stateless 7 (zipformer)
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#### Pruned transducer stateless 7 (Byte-level BPE)
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See <https://github.com/k2-fsa/icefall/pull/986>
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