SEBIS/code_trans_t5_large_code_documentation_generation_php_multitask

The CodeTrans model is based on the t5-large model architecture . It has its own SentencePiece vocabulary model . It was trained on a single TPU Pod V3-8 for 240,000 steps in total, using sequence length 512 (batch size 4096) It has a total of approximately 220M parameters and was trained using the encoder-decoder architecture . The model could be used to generate the description for the php function or be fine-tuned on other php code tasks . It can be used on unparsed and untokenized PHP code . It works best with tokenized php code functions: it works best on tokenized PHP functions . The training data,