Multiclass Classification: "labels" format
Hello Community,I fine-tuned a BERTforSequenceClassification with the Huggingface Traineri have a question regarding the format of the “labels” in my dataset. I read through a lot of postings and threads, but i am still a bit confused.I have a dataset with 5 labels and it is a multiclass classification problem. So a text has exact one value of (0,1,2,3,4). I read everywhere that the format has to be a tensor with 0’s and 1’s. However, i finetuned a BERT model with the Huggingface Trainer and let the labels have the values from 0 to 4.My Question:does the trainer autoformat these labels or does it accept normal integers aswell? I dont get any error, can predict values without problems. The results seem reliable aswell.I hope you can help me with this, because i didnt find a reliable source anywhere that confirms this.Thank you very much