Mentors:
- Elizabeth Kemp
- Jaeyoun Kim
This is a summary of my GSoC project: New Tools for TensorFlow Hub. In this project, I extended and created tools that build models from command line directly. At the end, I reproduced a RoBERTa model using TF2.
A detailed blog post about the project can be found at TBD.
The first milestone aims at updating the make_image_classifier
tool of TF Hub, including dataset pipeline, colab demo, new tricks, etc.
Related PRs and commits:
- PR595: update argument parsing.
- PR612: update dataset pipeline and add distribute strategy.
- PR609: update corresponding colab demo.
- PR602: address a TF Hub bug.
- new tricks: add new tricks for training.
The new tricks
branch will be PRed after PR609 and PR612 are merged.
Milestone 2 is to create a make_object_detector
tool for TF Hub. It builds an object detection model finetuned on customized datasets, by using pretrained models from tfhub.dev.
Related PRs and commits:
- An fine-tunable object detection colab.
The last milestone of the project is to implement the RoBERTa model for TF Model Garden.
Related PRs and commits:
- TBD.