Hi all
I am a beginner here. but would like to ask regarding yiyanghkust/finbert-esg.
i understand the output is going to be just one classification (either E, S or G).
I am wondering is it possible to use the finbert-esg as a pre-trained model and fine-tune it to be multi-label instead?
Is there a specific example tutorial out there that can guide me on this? I was googling awhile but didn’t manage to find a specific fine-tuning tutorial that shows how to customize the output layer into a multi-label from single classification.
many thanks