batchSize property
The batch size to use for training. The batch size is the number of training examples used to train a single forward and backward pass.
By default, the batch size will be dynamically configured to be ~0.2% of the number of examples in the training set, capped at 256 - in general, we've found that larger batch sizes tend to work better for larger datasets.
Implementation
@JsonKey(name: 'batch_size')
int? get batchSize => throw _privateConstructorUsedError;