SEBIS/code_trans_t5_base_source_code_summarization_csharp_multitask

The CodeTrans model is based on the t5-base model architecture . It used multi-task training on 13 supervised tasks in the software development domain and 7 unsupervised datasets . The model could be used to generate the description for the csharp function or be fine-tuned on other csharp code tasks . It can be used on unparsed and untokenized csharp codes . It has a total of approximately 220M parameters and was trained using the encoder-decoder architecture . The optimizer used is AdaFactor with inverse square root learning rate schedule for pre-training . The training procedure was trained on a single TPU Pod V3-8 for 160,000,