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嘉渊 2023-07-06 15:05:20 +08:00
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# Conformer Result
## Training Config
- Feature info: using 80 dims fbank, global cmvn, speed perturb(0.9, 1.0, 1.1), specaugment
- Train info: lr 5e-4, batch_size 25000, 2 gpu(Tesla V100), acc_grad 1, 50 epochs
- Train config: conf/train_asr_transformer.yaml
- LM config: LM was not used
- Model size: 46M
## Results (CER)
- Decode config: conf/decode_asr_transformer.yaml (ctc weight:0.5)
| testset | CER(%) |
|:-----------:|:-------:|
| dev | 4.42 |
| test | 4.87 |

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@ -97,7 +97,7 @@ dataset_conf:
sort_size: 500
batch_conf:
batch_type: token
batch_size: 25000
batch_size: 20000
num_workers: 8
log_interval: 50