Lr Meaning in English
word
ɛl ɑɹ
EL-ar
ɛl ɑː
EL-ah
Definition
'lr' is an abbreviation for 'learning rate', which refers to a parameter in machine learning that controls how much a model's weights are updated during training.
Usage & Nuances
'lr' is used in technical, especially machine learning, contexts. It nearly always refers to model training. Written as lowercase, rarely spelled out in speech. Often seen in code, research papers, and discussions about AI models.
Spanish: lr (no se traduce) - abreviatura de 'learning rate' (tasa de aprendizaje)Portuguese (BR): lr (não se traduz) - abreviação de 'learning rate' (taxa de aprendizado)Portuguese (PT): lr (não se traduz) - abreviatura de 'learning rate' (taxa de aprendizagem)Chinese (Simplified): lr（不翻译）- “学习率”（learning rate）的缩写Chinese (Traditional): lr（不翻譯）- “學習率”（learning rate）的縮寫Hindi: lr (अनुवाद नहीं होता) - 'learning rate' (लर्निंग रेट) का संक्षिप्त रूपArabic: lr (لا يُترجم) - اختصار 'learning rate' (معدل التعلم)Bengali: lrRussian: lrJapanese: lrVietnamese: lrKorean: lrTurkish: lrUrdu: lrIndonesian: lr
Example Sentences
The lr is set to 0.01 in this model.
basic
Adjusting the lr can affect training speed.
basic
If the lr is too high, the model may not learn well.
basic
Try lowering the lr if the loss isn't going down.
natural
What's a good lr value for this algorithm?
natural
People often experiment with the lr until they get the best results.
natural