Model size doubles after finetuning
I noticed that deberta-v3-small(~273 MB) and MiniLM-L6-H768(~157 MB) model size increased by a lot to 541MB and 313MB respectively post finetuning.More details :AutoModelForSequenceClassification(5 labels)used default trainer and training args with minor changeswarmup = 0.3decay = 0.0332 bsI am having trouble understanding why, does anyone have any clue?