Update README.md

README.md

@@ -27,7 +27,6 @@ Despite being trained on only 72 billion tokens of text, the models outperform m
 # Benchmarks 
 
 **Pretrained (Temperature 0)**
-
 |**Benchmark**|**TinyCodeLM 150M** |**TinyCodeLM 400M** |
 | :--------------------- | -----------------: | -----------------: |
 |  HumanEval, pass@1 |    6.1   |      6.7  |
@@ -35,7 +34,6 @@ Despite being trained on only 72 billion tokens of text, the models outperform m
 
 
 **Edit Sequence / Instruction Tuned (Temperature-Tuned)**
-
 |**Benchmark** |**TinyCodeLM 150M** |**TinyCodeLM 400M** |
 | :----------- | -----------------: | -----------------: |
 |  HumanEval, pass@1   | 12.8   | 13.4  |
@@ -47,7 +45,7 @@ Despite being trained on only 72 billion tokens of text, the models outperform m
 # Citation
 
 ```
-@misc{piterbarg2024training,
+@misc{piterbarg2024editseq,
       title={Training Language Models on Synthetic Edit Sequences Improves Code Synthesis}, 
       author={Ulyana Piterbarg and Lerrel Pinto and Rob Fergus},
       year={2024},