Optionalbatch_Number of examples in each batch. A larger batch size means that model parameters are updated less frequently, but with lower variance.
Optionallearning_Scaling factor for the learning rate. A smaller learning rate may be useful to avoid overfitting.
Optionaln_The number of epochs to train the model for. An epoch refers to one full cycle through the training dataset.
The hyperparameters used for the fine-tuning job.