Update README.md

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 datasets:
 - fblgit/tree-of-knowledge
 - Open-Orca/SlimOrca-Dedup
-- HuggingFaceH4/ultrafeedback_binarized
+- allenai/ultrafeedback_binarized_cleaned
 library_name: transformers
 tags:
 - juanako
@@ -15,18 +15,20 @@ tags:
 # Model Card for una-cybertron-7b-v2-bf16 (UNA: Uniform Neural Alignment)
 
 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.
+He scores [EXACTLY](https://huggingface.co/datasets/open-llm-leaderboard/details_fblgit__una-cybertron-7b-v2-bf16)  **#1** with **69.67**+ score on HF LeaderBoard board, **#8** ALL SIZES top score.
 
-* v1 Scoring **#1** at 2 December 2023 with 64.60
-* v2 Scoring **?** ..?
+c* v1 Scoring **#1** at 2 December 2023 with 69.49
+* v2 Scoring **#1** at 5 December 2023 with 69.43
 
   
 | Model | Average | ARC (25-s) | HellaSwag (10-s) | MMLU (5-s) | TruthfulQA (MC) (0-s) | Winogrande (5-s) | GSM8K (5-s) |
 | --- | --- | --- | --- | --- | --- | --- | --- |
 | [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) | 60.97 | 59.98  | 83.31  | 64.16  | 42.15 | 78.37 | 37.83 |
+| [Intel/neural-chat-7b-v3-2](https://huggingface.co/Intel/neural-chat-7b-v3-2) | 68.29 | 67.49  | 83.92  | 63.55  | 59.68 | 79.95 | 55.12 |
+| [Intel/neural-chat-7b-v3-2](https://huggingface.co/chargoddard/loyal-piano-m7) | 68.29 | 67.49  | 83.92  | 63.55  | 59.68 | 79.95 | 55.12 |
 | [perlthoughts/Chupacabra-7B-v2](https://huggingface.co/perlthoughts/Chupacabra-7B-v2) | 63.54 | 66.47 | 85.17 | 64.49  | 57.6 | 79.16 | 28.35 |
-| [fblgit/una-cybertron-7b-v1-fp16](https://huggingface.co/fblgit/una-cybertron-7b-v1-fp16) | **64.60** | **68.17** | 85.14 | 62.07  | **63.98** | **80.9** | 27.34 |
-| [fblgit/una-cybertron-7b-v2-bf16](https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16) | **6?.?0** | **68.17** | **85.?4** | 62.07  | **6?.98** | **80.9** | **?0.34** |
+| [fblgit/una-cybertron-7b-v1-fp16](https://huggingface.co/fblgit/una-cybertron-7b-v1-fp16) | **69.49** | **68.43** | **85.85** | 63.34  | **63.28** | **80.90** | **55.12** |
+| [fblgit/una-cybertron-7b-v2-bf16](https://huggingface.co/fblgit/una-cybertron-7b-v2-bf16) | **69.67** | **68.26** | **85.?4** | 63.23  | **64.63** | **81.37** | **55.04** |
 
 The model excels in mathematics, logic, reasoning, overall very smart.
 
@@ -74,26 +76,6 @@ Question：Explain QKV
 Answer：
 ```
 
-## Evaluation (UNA-Cybertron-7B-v1-fp16)
-```
-|    Tasks     |Version|Shots | Metric |Value |   |Stderr|
-|--------------|-------|------|--------|-----:|---|-----:|
-|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|   |      |
-
-|      Groups      |Version|Filter|n-shot|Metric|Value |   |Stderr|
-|------------------|-------|------|-----:|------|-----:|---|-----:|
-|mmlu              |N/A    |none  |     0|acc   |0.6207|_  |0.1230|
-| - humanities     |N/A    |none  |     5|acc   |0.5675|_  |0.1125|
-| - other          |N/A    |none  |     5|acc   |0.6933|_  |0.1108|
-| - social_sciences|N/A    |none  |     5|acc   |0.7270|_  |0.0666|
-| - stem           |N/A    |none  |     5|acc   |0.5249|_  |0.1311|
-```
 
 ### Framework versions