Update README.md

README.md

@@ -17,18 +17,7 @@ Dataset Entry Rows:
 <br>General: 8.7K
 <br>Total: 28.15K
 
-This is after heavy filtering of ~500K Rows and Entries of scraped sites and datasets.
-<br> V2 will see this further reduced down to ~10K after I do a second round of cleaning.
-
-Applicable Formats:
-
-ShareGPT / Vicuna
-<br>Alpaca
-
-V1 is trained on 50/50 for these two formats. 
-<br>I am working on converting to either for v2.
-
-Once V2 is Completed, I will also train a 70B variant of this.
+This is after heavy filtering of ~500K Rows and Entries from randomly selected scraped sites and datasets.
 
 v1 is simply an experimental release. V2 will be the main product?
 <br>Goals:
@@ -41,26 +30,23 @@ v1 is simply an experimental release. V2 will be the main product?
 
 I recommend keeping Repetition Penalty below 1.1, preferably at 1 as Hesperus begins breaking down at 1.2 Rep Pen and might output nonsense outputs.
 
+![Format](https://i.gyazo.com/b22ba269e509c8a62276cbd5bde5acef.png)
+
 Prompt Format:
 ```
-- sharegpt
+- sharegpt (recommended!)
 User:
-GPT:
+GPT: 
 ```
 ```
-- alpaca
+- alpaca (less recommended)
 ###Instruction:
 Your instruction or question here.
 For roleplay purposes, I suggest the following - Write <CHAR NAME>'s next reply in a chat between <YOUR NAME> and <CHAR NAME>. Write a single reply only.
 ###Response:
 ```
 
-***
-
-This model was trained from scratch on the Hesperus dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.5134
-
-***
+V1 is trained on 50/50 for these two formats. 
+<br>I am working on converting to either for v2.
 
-<br>
+Once V2 is Completed, I will also train a 70B variant of this.