diff --git a/notebooks/piper_multilingual_training_notebook.ipynb b/notebooks/piper_multilingual_training_notebook.ipynb index 9209f30..ef7ba63 100644 --- a/notebooks/piper_multilingual_training_notebook.ipynb +++ b/notebooks/piper_multilingual_training_notebook.ipynb @@ -100,6 +100,10 @@ "\n", "#@markdown ####In this cell the synthesizer and its necessary dependencies to execute the training will be installed. (this may take a while)\n", "\n", + "#@markdown #### Do you want to use the patch?\n", + "#@markdown The patch provides the ability to export audio files to the output folder and save a single model while training.\n", + "usepatch = True #@param {type:\"boolean\"}\n", + "#@markdown ---\n", "# clone:\n", "!git clone -q https://github.com/rmcpantoja/piper\n", "%cd /content/piper/src/python\n", @@ -373,10 +377,10 @@ "#@markdown ---\n", "#@markdown ### For how many epochs to save training checkpoints?\n", "#@markdown The larger your dataset, you should set this saving interval to a smaller value, as epochs can progress longer time.\n", - "checkpoint_epochs = 3 #@param {type:\"integer\"}\n", + "checkpoint_epochs = 5 #@param {type:\"integer\"}\n", "#@markdown ---\n", "#@markdown ### Step interval to generate model samples:\n", - "log_every_n_steps = 500 #@param {type:\"integer\"}\n", + "log_every_n_steps = 1000 #@param {type:\"integer\"}\n", "#@markdown ---\n", "#@markdown ### Training epochs:\n", "max_epochs = 10000 #@param {type:\"integer\"}\n", @@ -423,7 +427,8 @@ "source": [ "# Have you finished training and want to test the model?\n", "\n", - "Export your model using the [model exporter notebook](https://colab.research.google.com/github/rmcpantoja/piper/blob/master/notebooks/piper_model_exporter.ipynb)!" + "* If you want to run this model in any software that Piper integrates or the same pipper app, export your model using the [model exporter notebook](https://colab.research.google.com/github/rmcpantoja/piper/blob/master/notebooks/piper_model_exporter.ipynb)!\n", + "* Wait! I want to test this right now before exporting it to the supported format for piper. Test your generated last.ckpt with [this notebook](https://colab.research.google.com/github/rmcpantoja/piper/blob/master/notebooks/piper_inference_(ckpt).ipynb)!" ] } ],