Why is deberta-v3-large model twice as large on disk after MLM finetuning? (notebook to reproduce)
On the model hub large DeBERTaV3 is about 800mb:huggingface.comicrosoft/deberta-v3-large at mainWe’re on a journey to advance and democratize artificial intelligence through open source and open science.But training with run_mlm.py for even just a few steps results in a model that is 1.6gb:colab.research.google.comGoogle ColaboratoryAny idea why this is happening and if it’s possible to reduce the size of the fine-tuned model?Thanks!