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This is a Pytorch implementation of a summarization model that is fine-tuned on the top of Google-T5 pre-trained model.

License: MIT License

Python 100.00%
pytorch t5-model transformer hugging-face rouge-l wikihow xsum summarization nlp abstractive-summarization

t5-fine-tune-wikihow-xsum's Introduction

Waleed Khamies - Applied ML Scientist

I am Waleed, an applied scientist. and ML grad. I am passionate about learning semantic representations from multimodal data. Also, I am interested in mapping these inferred meanings to autonomous actionable insights.

Previously, I worked as a research engineer intern at Mila under the supervision of Liam Paull, where my research focused on developing deep learning models that are suitable to robotics applications in noisy scenarios. I received my master at AMMI in Mathematical sciences/Machine learning, where I worked in interpretability of reinforcement learning under the supervision of George konidaris, previously I received my bachelor degree at UofK in Electrical and electronics engineering, where I worked under the supervision of Benjamin Rosman.

No need to tell! feel free to explore my repos, and if you find something interesting for collaboration, or have some notes that help me improve, please drop me a message, I would love to hear your opinion, and suggestions.

By the way, if you feel too lazy to scroll! you can find an organized portfolio of my work ๐Ÿ‘‰ here.

Also, If you are interested in learning more about Algorithms, Machine Learning, and Data Science, check my recent posts from ๐Ÿ‘‰ here.

And finally, If you are interested in getting exclusive content and cheatsheets related to Artificial Intelligence, Machine Learning, and Data Science, join my newsletter from ๐Ÿ‘‰ here.

Thank you!

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