SEBIS/code_trans_t5_base_source_code_summarization_sql_multitask_finetune

The CodeTrans model is based on the t5-base model architecture . It has its own SentencePiece vocabulary model . It is then fine-tuned on the source code summarization task for the sql code snippets . This model is trained on tokenized sql code functions . It could be used to generate the description for the function . It can be used on . unparsed and untokenized . sql code . However, if the sql . code is tokenized, the performance should be better. 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,