SEBIS/code_trans_t5_base_code_documentation_generation_go_multitask

The CodeTrans model is based on the t5-base model . It has its own SentencePiece vocabulary model . The model is trained on tokenized go code functions . It could be used to generate the description for the go function or be fine-tuned on other go code tasks . It can be used on unparsed and untokenized go codes, but the performance should be better if the go code is tokenized . It was trained using the encoder-decoder architecture. It has a total of approximately 220M parameters and was trained on a single TPU Pod V3-8 for 340,000 steps in total, using sequence length 512 (batch size 4096,