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@@ -36,7 +36,7 @@ ISML datasets (80 thousands hours unlabeled data) and babel datasets (2 thousand
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  ## Training procedure
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  The model is pre-trained by wav2vec2 (https://github.com/dbiir/UER-py/) on [Tencent Cloud](https://cloud.tencent.com/). We pre-train 70 epochs with a batch size of 128. We use the same hyper-parameters on different model sizes.
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  The downstream models are finetuned:
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- ```
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  Stage 1:
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  ```
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  python wenet/bin/train.py --gpu 0,1,2,3,4,5,6,7 \
 
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  ## Training procedure
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  The model is pre-trained by wav2vec2 (https://github.com/dbiir/UER-py/) on [Tencent Cloud](https://cloud.tencent.com/). We pre-train 70 epochs with a batch size of 128. We use the same hyper-parameters on different model sizes.
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  The downstream models are finetuned:
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+
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  Stage 1:
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  ```
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  python wenet/bin/train.py --gpu 0,1,2,3,4,5,6,7 \