Frequently Asked Questions¶
How to count the number of epochs?¶
OpenNMT-tf uses a step-based training that makes it difficult to track the number of epochs over the dataset. However, it is possible to run the training epoch by epoch with the following configuration:
train: max_step: null single_pass: true
onmt-main [...] train # 1st epoch onmt-main [...] train # 2nd epoch ...
which you can wrap in a shell loop for example.
How to continue training with different optimization settings?¶
By default, OpenNMT-tf continues the training where it left off, including the state of the optimizer. To change the optimization settings, the recommended approach is to start a fresh training and only load the model weights from the previous checkpoint:
In your configuration, set
model_dirto a new directory to start a new training
On the command line, set
--checkpoint_pathto the checkpoint from where to load the model weights