How can i use datalore to train machine learning model.
save different parameter used and accuracy received on each epoc save it for future analysis.
Is there any experiment management in datalore ?
How can i use datalore to train machine learning model.
save different parameter used and accuracy received on each epoc save it for future analysis.
Is there any experiment management in datalore ?
Hello Vivek! There are no in-built features for experiment tracking in Datalore at the moment. However, you can try using such solutions depending on the framework you’re using:
tf.keras.callbacks.ModelCheckpoint
(documentation)
pytorch_lightning.callbacks.ModelCheckpoint
(documentation)
The solutions above are what I’m using myself
Here’s the example notebook with automatic checkpointing using TensorFlow, check it out: Automatic checkpointing with TensorFlow