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Methods/Inverse Square Root Schedule

Inverse Square Root Schedule

GeneralIntroduced 2000702 papers

Description

Inverse Square Root is a learning rate schedule 1 / max⁡(n,k)\sqrt{\max\left(n, k\right)}max(n,k)​ where nnn is the current training iteration and kkk is the number of warm-up steps. This sets a constant learning rate for the first kkk steps, then exponentially decays the learning rate until pre-training is over.

Papers Using This Method

Chat-Ghosting: A Comparative Study of Methods for Auto-Completion in Dialog Systems2025-07-08I Know Which LLM Wrote Your Code Last Summer: LLM generated Code Stylometry for Authorship Attribution2025-06-18Fretting-Transformer: Encoder-Decoder Model for MIDI to Tablature Transcription2025-06-17A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation2025-06-09A Multi-Dataset Evaluation of Models for Automated Vulnerability Repair2025-06-05Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking2025-05-29ShIOEnv: A CLI Behavior-Capturing Environment Enabling Grammar-Guided Command Synthesis for Dataset Curation2025-05-23LogiCase: Effective Test Case Generation from Logical Description in Competitive Programming2025-05-21EEG-to-Text Translation: A Model for Deciphering Human Brain Activity2025-05-20Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context Permutation2025-05-16Multilingual Machine Translation with Quantum Encoder Decoder Attention-based Convolutional Variational Circuits2025-05-14Performance Evaluation of Large Language Models in Bangla Consumer Health Query Summarization2025-05-08GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance2025-05-07A review of DNA restriction-free overlapping sequence cloning techniques for synthetic biology2025-05-06JaccDiv: A Metric and Benchmark for Quantifying Diversity of Generated Marketing Text in the Music Industry2025-04-29Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks2025-04-28Sigma: A dataset for text-to-code semantic parsing with statistical analysis2025-04-05Advancing Sentiment Analysis in Tamil-English Code-Mixed Texts: Challenges and Transformer-Based Solutions2025-03-30Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context2025-03-29Scaling Down Text Encoders of Text-to-Image Diffusion Models2025-03-25