Open-weight & owned stack · Training tuning
Researchers Develop Early-Stopping Fine-Tuning Framework
A theoretical paper explains early-stopped fine-tuning of pretrained language models with non-random initialization.
Read the original at awesomepapers.ioOpens the publisher's site in a new tab