Linear Warmup With Cosine Annealing is a learning rate schedule where we increase the learning rate linearly for $n$ updates and then anneal according to a cosine schedule afterwards.
Paper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Language Modelling | 75 | 10.40% |
Large Language Model | 45 | 6.24% |
Question Answering | 39 | 5.41% |
Retrieval | 27 | 3.74% |
Text Generation | 22 | 3.05% |
In-Context Learning | 22 | 3.05% |
Sentence | 21 | 2.91% |
Code Generation | 21 | 2.91% |
Prompt Engineering | 21 | 2.91% |