SEBIS/code_trans_t5_small_program_synthese_multitask_finetune

The CodeTrans model is based on the t5-small model architecture . It has its own SentencePiece vocabulary model . It used multi-task training on 13 supervised tasks in the software development domain and 7 unsupervised datasets . It is then fine-tuned on the program synthesis task for the lisp inspired DSL code . The model could be used to generate lisp-inspired DSL code given the human language description tasks . It was first released in this repository by Ahmed Elnaggar | LinkedIn and Wei Ding | LinkedIn . The code documentation tasks can be downloaded on Link. It has a total of approximately 220M parameters and was trained using the encoder-decoder architecture,