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## Results ## Results
### Aishell training results (zipformer + CR-CTC)
See <https://github.com/k2-fsa/icefall/pull/1980> for more details.
[zipformer](./zipformer)
#### Non-streaming
##### medium-scale model, number of model parameters: 66218471, i.e., 66.2 M
| decoding method | test | dev | comment |
|--------------------------------------|------------|------------|---------------------|
| ctc-greedy-search | 3.98 | 3.69 | --epoch 60 --avg 28 |
| ctc-prefix-beam-search | 3.98 | 3.70 | --epoch 60 --avg 21 |
The training command using 2 32G-V100 GPUs is:
```bash
export CUDA_VISIBLE_DEVICES="0,1"
./zipformer/train.py \
--world-size 2 \
--num-epochs 60 \
--start-epoch 1 \
--use-fp16 1 \
--context-size 1 \
--enable-musan 0 \
--exp-dir zipformer/exp \
--max-duration 500 \
--base-lr 0.045 \
--lr-batches 7500 \
--lr-epochs 18 \
--spec-aug-time-warp-factor 20 \
--use-ctc 1 \
--use-cr-ctc 1 \
--use-transducer 0 \
--enable-spec-aug 0 \
--cr-loss-scale 0.2
```
The decoding command is:
```bash
export CUDA_VISIBLE_DEVICES="0"
for m in ctc-greedy-search ctc-prefix-beam-search; do
./zipformer/ctc_decode.py \
--epoch 60 \
--avg 28 \
--exp-dir zipformer/exp \
--use-cr-ctc 1 \
--use-ctc 1 \
--use-transducer 0 \
--max-duration 600 \
--decoding-method $m
done
```
Pretrained models, training logs, decoding logs, tensorboard and decoding results
are available at
<https://huggingface.co/MistMoon/icefall-asr-aishell-zipformer-medium-cr-ctc-20250702>
### Aishell training results (Fine-tuning Pretrained Models) ### Aishell training results (Fine-tuning Pretrained Models)
#### Whisper #### Whisper
[./whisper](./whisper) [./whisper](./whisper)
@ -941,61 +999,3 @@ The best decoding results (CER) are listed below, we got this results by averagi
||test| ||test|
|--|--| |--|--|
|CER| 10.16% | |CER| 10.16% |
### Aishell training results (zipformer + CR-CTC)
See <https://github.com/k2-fsa/icefall/pull/1979> for more details.
[zipformer](./zipformer)
#### Non-streaming
##### medium-scale model, number of model parameters: 66218471, i.e., 66.2 M
| decoding method | test | dev | comment |
|--------------------------------------|------------|------------|---------------------|
| ctc-greedy-search | 3.98 | 3.69 | --epoch 60 --avg 28 |
| ctc-prefix-beam-search | 3.98 | 3.70 | --epoch 60 --avg 21 |
The training command using 2 32G-V100 GPUs is:
```bash
export CUDA_VISIBLE_DEVICES="0,1"
./zipformer/train.py \
--world-size 2 \
--num-epochs 60 \
--start-epoch 1 \
--use-fp16 1 \
--context-size 1 \
--enable-musan 0 \
--exp-dir zipformer/exp \
--max-duration 500 \
--base-lr 0.045 \
--lr-batches 7500 \
--lr-epochs 18 \
--spec-aug-time-warp-factor 20 \
--use-ctc 1 \
--use-cr-ctc 1 \
--use-transducer 0 \
--enable-spec-aug 0 \
--cr-loss-scale 0.2
```
The decoding command is:
```bash
export CUDA_VISIBLE_DEVICES="0"
for m in ctc-greedy-search ctc-prefix-beam-search; do
./zipformer/ctc_decode.py \
--epoch 60 \
--avg 28 \
--exp-dir zipformer/exp \
--use-cr-ctc 1 \
--use-ctc 1 \
--use-transducer 0 \
--max-duration 600 \
--decoding-method $m
done
```
Pretrained models, training logs, decoding logs, tensorboard and decoding results
are available at
<https://huggingface.co/MistMoon/icefall-asr-aishell-zipformer-medium-cr-ctc-20250702>