SEBIS/code_trans_t5_large_code_documentation_generation_javascript_multitask

The CodeTrans model is based on the t5-large model architecture . It has its own SentencePiece vocabulary model . The model could be used to generate the description for the javascript function or be fine-tuned on other javascript code tasks . It can be used on unparsed and untokenized javascript code . It works best with tokenized javascript functions . It was trained on a single TPU Pod V3-8 for 120,000 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 optimizer used is AdaFactor with inverse square root learning rate,