JovianKerasCallback(reset_tracking=True, arch_name='', every_epoch=False, notify=False)[source]¶
Keras Callback to log hyperparameters and metrics during model training.
reset_tracking (string, optional) – Will clear previously tracked hyperparameters & metrics, and start a fresh recording. Defaults to True.
arch_name (string, optional) – A name for the model you’re training.
every_epoch (bool, optional) – Whether to record losses & metrics for every epoch or just the final loss & metric. Defaults to False.
notify (bool, optional) – Whether to send notification on slack when the training ends. Defaults to False.
from jovian.callbacks.keras import JovianKerasCallback # To record logs of every epoch and to notify on slack jvn_cb = JovianKerasCallback(arch_name='resnet18', every_epoch=True, notify=True) model.fit(x_train, y_train, ...., callbacks=[jvn_cb])
Visit this for a detailed example on using the fastai callback, also visit the Records tab to see all the logs of that notebook logged by the callback.