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update RESULTS.md

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marcoyang1998 2023-08-01 10:15:10 +08:00
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@ -91,6 +91,12 @@ You can use <https://github.com/k2-fsa/sherpa> to deploy it.
| modified_beam_search | 2.21 | 4.91 | --epoch 40 --avg 16 |
| fast_beam_search | 2.24 | 4.93 | --epoch 40 --avg 16 |
| modified_beam_search_shallow_fusion | 2.01 | 4.37 | --epoch 40 --avg 16 --beam-size 12 --lm-scale 0.3 |
| modified_beam_search_LODR | 1.94 | 4.17 | --epoch 40 --avg 16 --beam-size 12 --lm-scale 0.52 --LODR-scale -0.26 |
| modified_beam_search_rescore | 2.04 | 4.39 | --epoch 40 --avg 16 --beam-size 12 |
| modified_beam_search_rescore_LODR | 2.01 | 4.33 | --epoch 40 --avg 16 --beam-size 12 |
The training command is:
```bash
export CUDA_VISIBLE_DEVICES="0,1,2,3"
@ -119,6 +125,8 @@ for m in greedy_search modified_beam_search fast_beam_search; do
done
```
To decode with external language models, please refer to the documentation [here](https://k2-fsa.github.io/icefall/decoding-with-langugage-models/index.html).
##### small-scaled model, number of model parameters: 23285615, i.e., 23.3 M
The tensorboard log can be found at