AI가 움직이고 미래가 업데이트됩니다.Deberta_Human_Value_Detector
This is a fine-tuned Deberta model to detect human values in arguments. The model is part of the ensemble that was the best-performing system in the SemEval2023 task: Detecting Human Values in arguments It was trained and tested on a dataset of 9324 annotated arguments. The whole ensemble system achieved a F1-Score of 0.56 in the competiton. This model achieves a F1-Score of 0.55. Code for retraining the ensemble is accessible in this repo This model is built on custom code. So the inference api cannot be used directly. To use the model please follow the steps below... To make a prediction and map the the outputs to the correct labels. During the competiton a threshold of 0.25 was used to binarize the output.
번역 준비 중입니다. 원문을 표시합니다.
This is a fine-tuned Deberta model to detect human values in arguments. The model is part of the ensemble that was the best-performing system in the SemEval2023 task: Detecting Human Values in arguments It was trained and tested on a dataset of 9324 annotated arguments. The whole ensemble system achieved a F1-Score of 0.56 in the competiton. This model achieves a F1-Score of 0.55. Code for retraining the ensemble is accessible in this repo This model is built on custom code. So the inference api cannot be used directly. To use the model please follow the steps below... To make a prediction and map the the outputs to the correct labels. During the competiton a threshold of 0.25 was used to binarize the output.