Update README.md

README.md

@@ -5,14 +5,14 @@ datasets:
 - apcl/jm52m
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-# Jam-sojm
-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
+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 Training Details
+## Jam_sojm Training Details
 
-- We trained the jam-sojm model using the training procedures from Daniel Grittner's [NanoGPT-LoRA](https://github.com/danielgrittner/nanoGPT-LoRA)
+- We trained the jam_sojm model using the training procedures from Daniel Grittner's [NanoGPT-LoRA](https://github.com/danielgrittner/nanoGPT-LoRA)
   
 - The datasets used to train our model are our own datasets [so13m dataset](https://huggingface.co/datasets/apcl/so13m) and [jm52m dataset](https://huggingface.co/datasets/apcl/jm52m).