Hyperparameter Tuning Insights
Gábor shares how they used Google Vizier for hyperparameter tuning, emphasizing the challenges of defining and narrowing down hyperparameters. The discussion delves into the complexities of tuning embedding size, hidden size ratios, and model types, providing a glimpse into the meticulous experimentation process.In this clip
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NLP Highlights
40 - On the State of the Art of Evaluation in Neural Language Models, with Gábor Melis
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