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SEBIS/code_trans_t5_small_source_code_summarization_sql_multitask_finetune

The SEBIS/code_trans_t5_small_source_code_summarization_sql_multitask_finetune model is a machine learning model.

About SEBIS/code_trans_t5_small_source_code_summarization_sql_multitask_finetune

The CodeTrans model is based on the t5-small 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, the performance should be better if the .sql code is tokenized . It was trained using the encoder-decoder architecture and was trained on a single TPU Pod V3-8 for 500,000 steps in total, using sequence length 512 (,
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