icefall/egs/mdcc/ASR/RESULTS.md
zr_jin c3f6f28116
Zipformer recipe for Cantonese dataset MDCC (#1537)
* init commit

* Create README.md

* handle code switching cases

* misc. fixes

* added manifest statistics

* init commit for the zipformer recipe

* added scripts for exporting model

* added RESULTS.md

* added scripts for streaming related stuff

* doc str fixed
2024-03-13 10:01:28 +08:00

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## Results
#### Zipformer
See <https://github.com/k2-fsa/icefall/pull/1537>
[./zipformer](./zipformer)
##### normal-scaled model, number of model parameters: 74470867, i.e., 74.47 M
| | test | valid | comment |
|------------------------|------|-------|-----------------------------------------|
| greedy search | 7.45 | 7.51 | --epoch 45 --avg 35 |
| modified beam search | 6.68 | 6.73 | --epoch 45 --avg 35 |
| fast beam search | 7.22 | 7.28 | --epoch 45 --avg 35 |
The training command:
```
export CUDA_VISIBLE_DEVICES="0,1,2,3"
./zipformer/train.py \
--world-size 4 \
--start-epoch 1 \
--num-epochs 50 \
--use-fp16 1 \
--exp-dir ./zipformer/exp \
--max-duration 1000
```
The decoding command:
```
./zipformer/decode.py \
--epoch 45 \
--avg 35 \
--exp-dir ./zipformer/exp \
--decoding-method greedy_search # modified_beam_search
```
The pretrained model is available at: https://huggingface.co/zrjin/icefall-asr-mdcc-zipformer-2024-03-11/