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- [LJ Speech](https://keithito.com/LJ-Speech-Dataset/)
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## Training the network
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To run your own training, you need to define a ```config.json``` file (simple template below) and call the following command.
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To run your own training, you need to define a ```config.json``` file (simple template below) and call with the command.
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```train.py --config_path config.json```
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If you like to use specific GPUs.
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If you like to use specific set of GPUs.
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```CUDA_VISIBLE_DEVICES="0,1,4" train.py --config_path config.json```
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Each run creates a experiment folder with the corresponfing date and time, under the folder you set in ```config.json```. And if there is no checkpoint yet under that folder, it is going to be removed when you Ctrl+C.
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Each run creates an experiment folder with the corresponfing date and time, under the folder you set in ```config.json```. And if there is no checkpoint yet under that folder, it is going to be removed when you press Ctrl+C.
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Example ```config.json```:
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```
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