aychang/bert-base-cased-trec-coarse

A simple base BERT model trained on the "trec" dataset . The model is a minimal language model that is trained on a benchmark dataset . This is a simple language model trained using a simple model . The training procedure is described as "One V100Hyperparameters and Training Args" The model was trained on TREC 6-class task with training parameters . The results are based on the training parameters of the model and the data used to train the model . For example, the model was modeled by AutoModelForQuestionAnswering.com and the tokenizer.com . The tokenizer is used to test the model's accuracy and accuracy of the results . The data is,