Update

README.md

@@ -16,7 +16,7 @@ DCLM-1B is a 1.4 billion parameter language model trained on the DCLM-Baseline d
 Here are the evaluation results for DCLM-1B on various tasks (using [llm-foundry](https://github.com/mosaicml/llm-foundry) eval suite), compared to recently released small models on key benchmarks.
 As described in the paper, Core accuracy is the average of centered accuracy on
 22 tasks (including HellaSwag and ARC-E), Extended is centered accuracy averaged
-over 53 tasks.  We evaluate the models using llm-foundry.
+over 53 tasks.
 
 
 | Model                             | Params | Tokens | Open dataset? | Core  | MMLU     | Extended |