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# Conformer Result
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## Training Config
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- Feature info: using 80 dims fbank, global cmvn, speed perturb(0.9, 1.0, 1.1), specaugment
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- Train info: lr 5e-4, batch_size 25000, 2 gpu(Tesla V100), acc_grad 1, 50 epochs
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- Train config: conf/train_asr_transformer.yaml
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- LM config: LM was not used
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- Model size: 46M
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## Results (CER)
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- Decode config: conf/decode_asr_transformer.yaml (ctc weight:0.5)
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| testset | CER(%) |
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|:-----------:|:-------:|
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| dev | 4.42 |
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| test | 4.87 |
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@ -97,7 +97,7 @@ dataset_conf:
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sort_size: 500
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batch_conf:
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batch_type: token
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batch_size: 25000
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batch_size: 20000
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num_workers: 8
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log_interval: 50
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