AI正在发生 未来正在更新ruRoberta-large-ru-go-emotions
This is ruRoberta-large model finetuned on ru_go_emotions dataset for multilabel classification. Model can be used to extract all emotions from text or detect certain emotions. Thresholds are selected on validation set by maximizing f1 macro over all labels. The quality of the model varies greatly across all classes (look at the table with metrics below). There are classes like amusement, gratitude, where the model shows high recognition quality, and classes that pose difficulties for the model - grief, relief, that do have much fewer examples in the training data. Also ONNX version of model and INT8 quantized model is available. information about them is posted in the last sections.
译文尚未就绪，显示来源原文
This is ruRoberta-large model finetuned on ru_go_emotions dataset for multilabel classification. Model can be used to extract all emotions from text or detect certain emotions. Thresholds are selected on validation set by maximizing f1 macro over all labels. The quality of the model varies greatly across all classes (look at the table with metrics below). There are classes like amusement, gratitude, where the model shows high recognition quality, and classes that pose difficulties for the model - grief, relief, that do have much fewer examples in the training data. Also ONNX version of model and INT8 quantized model is available. information about them is posted in the last sections.