Update README.md

README.md

@@ -58,13 +58,13 @@ Our approach ensures that the model retains its original strengths while acquiri
 - **License:** APACHE 2.0
 - **Contact:** [Website](https://vago-solutions.de/#Kontakt) [David Golchinfar](mailto:golchinfar@vago-solutions.de)
 
-###Training Dataset
+### Training Dataset:
 
 SauerkrautLM-7b-HerO was trained with mix of German data augmentation and translated data. 
 We found, that only a simple translation of training data can lead to unnatural German phrasings. 
 Data augmentation techniques were used to grant grammatical, syntactical correctness and a more natural German wording in our training data. 
 
-###Merge Procedure
+### Merge Procedure:
 
 SauerkrautLM-7b-HerO was merged on 1 A100 with [mergekit](https://github.com/cg123/mergekit).
 The merged model contains [OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) and [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca).
@@ -72,7 +72,7 @@ We applied the gradient SLURP method.
 
 
 
-###Prompt Template
+### Prompt Template:
 ```
 <|im_start|>system
 Du bist Sauerkraut-HerO, ein großes Sprachmodell, das höflich und kompetent antwortet. Schreibe deine Gedanken Schritt für Schritt auf, um Probleme sinnvoll zu lösen.
@@ -86,7 +86,7 @@ Bitte erkläre mir, wie die Zusammenführung von Modellen durch bestehende Spitz
 <|im_start|>assistant
 ```
 ## Evaluation
-###MT-Bench (German)
+### MT-Bench (German):
 ```
 ########## First turn ########## 
                                                            score 
@@ -145,7 +145,7 @@ SauerkrautLM-3b-v1                                  2.581250
 open_llama_3b_v2                                    1.456250 
 Llama-2-7b                                          1.181250 
 ```
-###MT-Bench (English)
+### MT-Bench (English):
 ```
 ########## First turn ########## 
                                                            score 
@@ -173,20 +173,20 @@ neural-chat-7b-v3-1                                 6.812500
 ```
 
 
-###Language Model evaluation Harness
+### Language Model evaluation Harness:
 Compared to Aleph Alpha Luminous Models:
 ![Harness](images/luminouscompare.PNG "SauerkrautLM-7b-HerO Harness")
 
 *performed with newest Language Model Evaluation Harness
-###BBH
+### BBH:
 ![BBH](images/bbh.PNG "SauerkrautLM-7b-HerO BBH")
 *performed with newest Language Model Evaluation Harness
-###GPT4ALL
+### GPT4ALL:
 Compared to Aleph Alpha Luminous Models, LeoLM and EM_German:
 ![GPT4ALL diagram](images/gpt4alldiagram.PNG "SauerkrautLM-7b-HerO GPT4ALL Diagram")
 
 ![GPT4ALL table](images/gpt4alltable.PNG "SauerkrautLM-7b-HerO GPT4ALL Table")
-###Additional German Benchmark results
+### Additional German Benchmark results:
 ![GermanBenchmarks](images/germanbench.PNG "SauerkrautLM-7b-HerO German Benchmarks")
 *performed with newest Language Model Evaluation Harness
 ## Disclaimer