Update README.md

README.md

@@ -14,8 +14,8 @@ tags:
 
 # Model Card for una-cybertron-7b-v2-bf16 (UNA: Uniform Neural Alignment)
 
-We strike back, introducing **Cybertron 7B v1** a 7B MistralAI based model, best on it's series. Trained on SFT, DPO and UNA (Unified Neural Alignment) on multiple datasets.
-  He scores **64.60**+ on HF LeaderBoard at least, we'll update the final test soon, .. and we have in the oven a few surprises for all the christmas, subscribe.
+We strike back, introducing **Cybertron 7B v2** a 7B MistralAI based model, best on it's series. Trained on SFT, DPO and UNA (Unified Neural Alignment) on multiple datasets.
+  He scores more than **64.60**+ on HF LeaderBoard at least, we'll update the final test soon, .. and we have in the oven a few surprises for all the christmas, subscribe.
 T
 * v1 Scoring **#1** at 2 December 2023 with 64.60
 * v2 Scoring **?** ..?
@@ -77,14 +77,14 @@ Answer：
 ## Evaluation (UNA-Cybertron-7B-v1-fp16)
 ```
 |    Tasks     |Version|Shots | Metric |Value |   |Stderr|
-|--------------|-------|------|--------qqqqqqqqqqqqqqqqqqqqq|-----:|---|-----:|
+|--------------|-------|------|--------|-----:|---|-----:|
 |arc_challenge |       | 25   |acc_norm|0.6817|±  |0.0136|
 |truthfulqa_mc2|       | 0    |acc     |0.6398|±  |0.0151|
 |hellaswag     |       | 10   |acc_norm|0.8492|±  |0.0036|
 |winogrande    |       | 0    |acc     |0.809 |±  |0.011 |
 |gsm8k         |       | 5    |acc     |0.2733|±  |0.0137|
 |mmlu          |       | 5    |acc     |0.6207|±  |0.1230|
-|              |average|      |acc     |**0.6456**|      |
+|              |average|      |acc     |0.6456|   |      |
 
 |      Groups      |Version|Filter|n-shot|Metric|Value |   |Stderr|
 |------------------|-------|------|-----:|------|-----:|---|-----:|
@@ -105,7 +105,7 @@ Answer：
 ### Citations
 If you find Cybertron, Juanako or any of our models useful, specially if you use it for your big brand.. cite please:
 ```
-@misc{unacybertron7a,
+@misc{unacybertron7b,
   title={Cybertron: Uniform Neural Alignment}, 
   author={Xavier Murias},
   year={2023},