Finetuning RoBERTa on SentiHood Dataset producing Random Outputs
Code: [Google Colab]Is there any mistake in my usage of AutoModelForSequenceClassification or of the HF Trainer?The data is conditioned for the Binary Classification task of predicting Yes/No for three sentiment classes (None, Neg, Pos) with different aspects and target_entities.This approach was inspired by this paper: [https://aclanthology.org/N19-1035.pdf]