2023-08-16 22:32:41 +08:00

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.. _dummies_tutorial_training:
Training
========
After :ref:`dummies_tutorial_data_preparation`, we can start training.
The command to start the training is quite simple:
.. code-block:: bash
cd /tmp/icefall
export PYTHONPATH=/tmp/icefall:$PYTHONPATH
cd egs/yesno/ASR
# We use CPU for training by setting the following environment variable
export CUDA_VISIBLE_DEVICES=""
./tdnn/train.py
That's it!
You can find the training logs below:
.. literalinclude:: ./code/train-yesno.txt
For the more curious
--------------------
.. code-block:: bash
./tdnn/train.py --help
will print the usage information about ``./tdnn/train.py``. For instance, you
can specify the number of epochs to train and the location to save the training
results.
The training text logs are saved in ``tdnn/exp/log`` while the tensorboard
logs are in ``tdnn/exp/tensorboard``.