Update README.md

README.md

@@ -281,9 +281,9 @@ Evaluations on benchmarks were performed using the [Language Model Evaluation Ha
 
 Evaluations on Brazilian Portuguese benchmarks were performed using a [Portuguese implementation of the EleutherAI LM Evaluation Harness](https://github.com/eduagarcia/lm-evaluation-harness-pt) (created by [Eduardo Garcia](https://github.com/eduagarcia/lm-evaluation-harness-pt)).
 
-|                       | **ASSIN2 RTE** | **ASSIN2 STS** | **BLUEX** | **ENEM** | **FAQUAD NLI** | **HateBR** | **OAB Exams** |
-|-----------------------|----------------|----------------|-----------|----------|----------------|------------|---------------|
-| **Mula-4x160-v0.1**   | 33.55          | 8.88           | 20.58     | 20.08    | 43.97          | 33.65      | 22.92         |
+|                       | **ASSIN2 RTE** | **ASSIN2 STS** | **BLUEX** | **ENEM** | **FAQUAD NLI** | **HateBR** | **OAB Exams** | **TweetSentBR** |
+|-----------------------|----------------|----------------|-----------|----------|----------------|------------|---------------|-----------------|
+| **Mula-4x160-v0.1**   | 33.57          | 11.35          | 25.17     | 21.34    | 43.97          | 41.50      | 25.06         | 11.24           |
 
 ## Cite as 🤗
 
@@ -301,22 +301,3 @@ Evaluations on Brazilian Portuguese benchmarks were performed using a [Portugues
 ## License
 
 Mula-4x160-v0.1 is licensed under the Apache License, Version 2.0. See the [LICENSE](LICENSE) file for more details.
-
-
-# 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-4x160-v0.1) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
-
-|          Metric          |  Value  |
-|--------------------------|---------|
-|Average                   |**26.24**|
-|ENEM Challenge (No Images)|    21.34|
-|BLUEX (No Images)         |    25.17|
-|OAB Exams                 |    25.06|
-|Assin2 RTE                |    33.57|
-|Assin2 STS                |    11.35|
-|FaQuAD NLI                |    43.97|
-|HateBR Binary             |    41.50|
-|PT Hate Speech Binary     |    22.99|
-|tweetSentBR               |    11.24|
-