SEBIS/code_trans_t5_large_program_synthese_transfer_learning_finetune

The CodeTrans model is based on the t5-large model architecture . It has its own SentencePiece vocabulary model . It used transfer-learning pre-training on 7 unsupervised datasets in the software development domain . 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. 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,