---
language:
- pt
license: apache-2.0
datasets:
- nicholasKluge/Pt-Corpus
model-index:
- name: Mistral-7B-v0.2-Base_ptbr
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: ENEM Challenge (No Images)
      type: eduagarcia/enem_challenge
      split: train
      args:
        num_few_shot: 3
    metrics:
    - type: acc
      value: 64.94
      name: accuracy
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=JJhooww/Mistral-7B-v0.2-Base_ptbr
      name: Open Portuguese LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BLUEX (No Images)
      type: eduagarcia-temp/BLUEX_without_images
      split: train
      args:
        num_few_shot: 3
    metrics:
    - type: acc
      value: 53.96
      name: accuracy
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=JJhooww/Mistral-7B-v0.2-Base_ptbr
      name: Open Portuguese LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: OAB Exams
      type: eduagarcia/oab_exams
      split: train
      args:
        num_few_shot: 3
    metrics:
    - type: acc
      value: 45.42
      name: accuracy
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=JJhooww/Mistral-7B-v0.2-Base_ptbr
      name: Open Portuguese LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Assin2 RTE
      type: assin2
      split: test
      args:
        num_few_shot: 15
    metrics:
    - type: f1_macro
      value: 90.11
      name: f1-macro
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=JJhooww/Mistral-7B-v0.2-Base_ptbr
      name: Open Portuguese LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Assin2 STS
      type: eduagarcia/portuguese_benchmark
      split: test
      args:
        num_few_shot: 15
    metrics:
    - type: pearson
      value: 72.51
      name: pearson
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=JJhooww/Mistral-7B-v0.2-Base_ptbr
      name: Open Portuguese LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: FaQuAD NLI
      type: ruanchaves/faquad-nli
      split: test
      args:
        num_few_shot: 15
    metrics:
    - type: f1_macro
      value: 69.04
      name: f1-macro
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=JJhooww/Mistral-7B-v0.2-Base_ptbr
      name: Open Portuguese LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HateBR Binary
      type: ruanchaves/hatebr
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: f1_macro
      value: 79.62
      name: f1-macro
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=JJhooww/Mistral-7B-v0.2-Base_ptbr
      name: Open Portuguese LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: PT Hate Speech Binary
      type: hate_speech_portuguese
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: f1_macro
      value: 58.52
      name: f1-macro
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=JJhooww/Mistral-7B-v0.2-Base_ptbr
      name: Open Portuguese LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: tweetSentBR
      type: eduagarcia/tweetsentbr_fewshot
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: f1_macro
      value: 62.32
      name: f1-macro
    source:
      url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=JJhooww/Mistral-7B-v0.2-Base_ptbr
      name: Open Portuguese LLM Leaderboard
---

É um modelo base pré-treinado com cerca de 1b tokens em portugues iniciado com os pesos oficiais do modelo, deve ser utilizado para fine tuning.

Obs: Aguardando [resultados oficiais](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
|                              | Mistral Base PTBR | Mistral Base | Melhoria |
|------------------------------|-------------------|--------------|----------|
| assin2_rte                   | 90,2              | 87,74        | 2,46     |
| assin2_sts                   | 72,45             | 67,05        | 5,4      |
| bluex                        | 53,27             | 53,27        | 0        |
| enem                         | 64,66             | 62,42        | 2,24     |
| faquad_nli                   | 68,11             | 47,63        | 20,48    |
| hatebr_offensive_binary      | 79,65             | 77,63        | 2,02     |
| oab_exams                    | 45,42             | 45,24        | 0,18     |
| portuguese_hate_speech_binary| 59,18             | 55,72        | 3,46     |
# 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/JJhooww/Mistral-7B-v0.2-Base_ptbr) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)

|          Metric          |  Value  |
|--------------------------|---------|
|Average                   |**66.27**|
|ENEM Challenge (No Images)|    64.94|
|BLUEX (No Images)         |    53.96|
|OAB Exams                 |    45.42|
|Assin2 RTE                |    90.11|
|Assin2 STS                |    72.51|
|FaQuAD NLI                |    69.04|
|HateBR Binary             |    79.62|
|PT Hate Speech Binary     |    58.52|
|tweetSentBR               |    62.32|