SEBIS/code_trans_t5_small_source_code_summarization_csharp_transfer_learning_finetune

The CodeTrans model is based on the t5-small 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 source code summarization task for the csharp code snippets . The model could be used to generate the description for a csharp function . It can be used on unparsed and untokenized csharp codes, but the performance should be better if the code is tokenized . It was trained using the encoder-decoder architecture and was trained on a single TPU Pod V3-8 for 500,000,