Update README.md

README.md

@@ -285,7 +285,7 @@ Evaluations on Brazilian Portuguese benchmarks were performed using a [Portugues
 |                       | **ASSIN2 RTE** | **ASSIN2 STS** | **BLUEX** | **ENEM** | **FAQUAD NLI** | **HateBR** | **PT Hate Speech** | **OAB Exams** | **TweetSentBR** | 
 |-----------------------|----------------|----------------|-----------|----------|----------------|------------|--------------------|---------------|-----------------|
 | **Mula-4x160-v0.1**   | 33.57          | 11.35          | 25.17     | 21.34    | 43.97          | 41.50      | 22.99              | 25.06         | 11.24           |
-| **Mula-8x160-v0.1**   | 33.51          | 0              | 20.17     | 19.94    | 43.97          | 33.33      | 42.69              | 24.37         | 24.60           |
+| **Mula-8x160-v0.1**   | 22.38          | 4.73           | 21.28     | 20.50    | 43.97          | 33.33      | 40.21              | 26.65         | 18.46           |
 
 ## Cite as 🤗
 
@@ -308,22 +308,3 @@ Mula-8x160-v0.1 is licensed under the Apache License, Version 2.0. See the [LICE
 ## Acknowledgements
 
 The authors gratefully acknowledge the granted access to the [Marvin cluster](https://www.hpc.uni-bonn.de/en/systems/marvin) hosted by the [University of Bonn](https://www.uni-bonn.de/en) along with the support provided by its High Performance Computing & Analytics Lab.
-
-
-# Open Portuguese LLM Leaderboard Evaluation Results  
-
-Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/MulaBR/Mula-8x160-v0.1) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
-
-|          Metric          |  Value  |
-|--------------------------|---------|
-|Average                   |**25.72**|
-|ENEM Challenge (No Images)|    20.50|
-|BLUEX (No Images)         |    21.28|
-|OAB Exams                 |    26.65|
-|Assin2 RTE                |    22.38|
-|Assin2 STS                |     4.73|
-|FaQuAD NLI                |    43.97|
-|HateBR Binary             |    33.33|
-|PT Hate Speech Binary     |    40.21|
-|tweetSentBR               |    18.46|
-