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README.md
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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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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 \
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