felicitywang/TFMTL
A TensorFlow Framework for Multi-Task Learning and Text Classification
This framework helps machine learning practitioners or researchers quickly set up and run multiple text classification experiments together. You provide text datasets, and it outputs trained models and their performance metrics. It's designed for those who want to efficiently compare different multi-task learning approaches for text.
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Use this if you need to rapidly experiment with various text classification models and multi-task learning configurations, especially when focusing on non-contextual baselines.
Not ideal if you are working with the latest contextual language models like Transformers or need a framework built on TensorFlow 2.x or PyTorch.
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11
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1
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 09, 2023
Commits (30d)
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