## Results ### Multi Chinese datasets char-based training results (Non-streaming) on zipformer model This is the [pull request #1238](https://github.com/k2-fsa/icefall/pull/1238) in icefall. #### Non-streaming Best results (num of params : ~69M): The training command: ``` ./zipformer/train.py \ --world-size 4 \ --num-epochs 20 \ --use-fp16 1 \ --max-duration 600 \ --num-workers 8 ``` The decoding command: ``` ./zipformer/decode.py \ --epoch 20 \ --avg 1 ``` Character Error Rates (CERs) listed below are produced by the checkpoint of the 20th epoch using greedy search and BPE model ( # tokens is 2000, byte fallback enabled). | Datasets | aidatatang _200zh | aidatatang _200zh | alimeeting | alimeeting | aishell-1 | aishell-1 | aishell-2 | aishell-2 | aishell-4 | magicdata | magicdata | kespeech-asr | kespeech-asr | kespeech-asr | WenetSpeech | WenetSpeech | WenetSpeech | |--------------------------------|------------------------------|-------------|-------------------|--------------|----------------|-------------|------------------|-------------|------------------|------------------|-------------|-----------------------|-----------------------|-------------|--------------------|-------------------------|---------------------| | Zipformer CER (%) | dev | test | eval | test | dev | test | dev | test | test | dev | test | dev phase1 | dev phase2 | test | dev | test meeting | test net | | | 3.2 | 3.67 | 23.15 | 24.78 | 2.91 | 3.04 | 3.59 | 4.03 | 15.68 | 3.68 | 3.12 | 6.69 | 3.19 | 8.01 | 9.32 | 7.05 | 8.78 | The pre-trained model is available here : https://huggingface.co/zrjin/icefall-asr-multi-zh-hans-zipformer-2023-9-2