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 # Jam-so
-Jam-so is a GPT2-like model for research in fine-grained Java analysis. It is intended for fine-grained analysis of Java source code at the level of methods, statements, and variables, as a foundation for downstream tasks like code completion, comment generation, and automated bug repair. This model is trained on so13m only and trained for one epoch, which is ∼300,000 iterations.
+Jam-so is a GPT2-like model for research in fine-grained Java analysis. It is intended for fine-grained analysis of Java source code at the level of methods, statements, and variables, as a foundation for downstream tasks like code completion, comment generation, and automated bug repair. This model is trained on [so13m dataset](https://huggingface.co/datasets/apcl/so13m) and trained for one epoch, which is ∼300,000 iterations.