What will you learn?
How you can identify and download the best model from Neptune in order to fine-tune it.
-
How to re-open the existing run, download the model, and fine-tune it?
-
Identify and download the best model from the project
-
Use namespaces to organize run’s structure
-
After training, check if the fine-tuned model is the best model
-
How will the results look like in Neptune?
-
Separate namespaces for the training and fine-tuning
-
Compare the fine-tuned models
Important: This video was created in November 2021. For the most up-to-date code examples, please refer to the Neptune docs.
Other useful resources
More about How to Identify the Best Model and Fine-tune It
See also
Train, Track, and Deploy Your Models: Neptune + Modelbit Integration
See also
.upload(“product_updates_september_2023”)
See also
What is a Project in Neptune?
See also
Model Training: Detectron2 + neptune.ai Integration [Example]
Explore more resources:
Content type
Area of interest
Area of interest
Couldn’t find the use case you were looking for?
Just get in touch, and our ML team will create a custom demo for you.
