Methods › General › Learning Rate Schedules › Inverse Square Root Schedule

Inverse Square Root Schedule

702 papers tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Inverse Square Root is a learning rate schedule 1 / √(max(n, k)) where n is the current training iteration and k is the number of warm-up steps. This sets a constant learning rate for the first k steps, then exponentially decays the learning rate until pre-training is over.

Papers archive 2025-07-28

30 shown of 702, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 467 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Language Modelling123
Language Modeling96
Question Answering84
Decoder78
Text Generation65
Sentence55
Translation45
Retrieval40
Transfer Learning40
Machine Translation39
Natural Language Understanding29
Semantic Parsing23
Abstractive Text Summarization22
Sentiment Analysis22
Natural Language Inference20
Code Generation19
Data Augmentation19
Diversity18
Text Summarization18
Knowledge Graphs17

Usage over time archive 2025-07-28

Papers per year tagged with Inverse Square Root Schedule: 2015 to 2025, peak 197 197 0 2015: 1 paper 2015 2016: 0 papers 2016 2017: 0 papers 2017 2018: 0 papers 2018 2019: 2 papers 2019 2020: 30 papers 2020 2021: 108 papers 2021 2022: 163 papers 2022 2023: 197 papers 2023 2024: 151 papers 2024 2025: 50 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (702 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Learning Rate Schedules

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