aychang/roberta-base-imdb

A simple base roBERTa model trained on the "imDB" dataset trained on a benchmark dataset . The model is described as a simple minimal language model . The training procedure is called "sentiment-analysis" and the results are based on the data from the "IMDB" model . For example, the model was trained using a simple model called a model for a simple question-ansist question-answering question . The results are published in the form of "Sentiment-Analysis" and "Intended Use of the Model" by using a pipeline and a tool called "P pipeline-analysis", or "Pipeline-analysis," to test your knowledge of the results,