Update README.md

README.md

@@ -3,14 +3,14 @@ license: bigscience-openrail-m
 datasets:
 - apcl/so13m
 ---
-# 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. 
+# 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. 
 
 ---
 
-## Jam-so Training Details
+## Jam_so Training Details
 
-- We trained the jam model using the training procedures from Daniel Grittner's [NanoGPT-LoRA](https://github.com/danielgrittner/nanoGPT-LoRA)
+- We trained the jam_so model using the training procedures from Daniel Grittner's [NanoGPT-LoRA](https://github.com/danielgrittner/nanoGPT-LoRA)
   
 - The dataset used to train our model is our own dataset [so13m dataset](https://huggingface.co/datasets/apcl/so13m), processed from 13 million StackOverflow posts picked from a [Stack Exchange data dump](https://archive.org/details/stackexchange)  for posts between January 2014 and December 2022.
 
@@ -35,6 +35,6 @@ We train our models using a single NVidia A5000 GPUs.
 ---
 ## Jam Projects
 
-Current projects using the JAM pre-trained model can be found at our Github repository:
+Current projects using the jam_so pre-trained model can be found at our Github repository:
 
 https://github.com/apcl-research/jam