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README.md

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 # Jam-sojm
+---
+license: bigscience-openrail-m
+datasets:
+- apcl/so13m
+---
 
-Jam-sojm 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. Jam-sojm model is trained on so13m and then jm52m for one epoch each after resetting the learning rate and decay.
+Jam-sojm 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. 
+
+
+## Datasets: [jm52m dataset](https://huggingface.co/datasets/apcl/jm52m) and [so13m dataset](https://huggingface.co/datasets/apcl/so13m)
+## Epochs: Two ( one with each dataset, with the the learning rate and decay reset in between)
+## Iterations : ~600,000