For anyone looking to fine-train transformers with less work, there is the FARM project (https://github.com/deepset-ai/FARM https://github.com/deepset-ai/FARM)

For anyone looking to fine-train transformers with less work, there is the FARM project (https://github.com/deepset-ai/FARM https://github.com/deepset-ai/FARM) which has some more or less ready-to-go configurations (classification, question answering, NER, and a couple of others). It's really almost "plug in a csv and run". By the way, a pet peeve is sentiment detection. It's a useful method, but please be aware that it does not measure "sentiment" in a way that one would normally think, and that what it measures varies strongly across methods (https://www.tandfonline.com/doi/abs/10.1080/19312458.2020.1869198 https://www.tandfonline.com/doi/abs/10.1080/19312458.2020.18...).