Update README.md

README.md

@@ -64,13 +64,13 @@ AGIEval 31.95
 GPT4All 70.81
 TruthfulQA 48.39
 ```
-
+```
 Loss or Increase:
 Avg. -0.44
 AGIEval -2.31
 GPT4All -1.33
 TruthfulQA +1.90
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+```
 
 Example of loss:
 [Steelskull/Etheria-55b-v0.1](https://huggingface.co/Steelskull/Etheria-55b-v0.1)
@@ -96,7 +96,7 @@ TruthfulQA 56.31
 Winogrande 82.79
 GSM8k 65.43
 ```
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+```
 Merge Loss (Yi-34B-200K-DARE-megamerge-v8 compared to Etheria-55b-v0.1):
 Avg. -7.87
 AI2 Reasoning Challenge -2.65
@@ -105,7 +105,7 @@ MMLU -3.37
 TruthfulQA +0.15
 Winogrande -6.70
 GSM8k -30.25
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+```
 In the example comparing Etheria-55b-v0.1 and Yi-34B-200K-DARE-megamerge-v8, there is a significant decrease in performance across all metrics, with the average score decreasing by 7.87 points. The most notable is in the GSM8k benchmark, where Yi-34B-200K-DARE-megamerge-v8 outperforms Etheria-55b-v0.1 by 30.25 points.
 
 This method is still in active development, and I am currently tweaking the algorithm to improve the layer selection process,