---
library_name: peft
model-index:
- name: gembode-7b-it
  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: 49.34
      name: accuracy
    source:
      url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/gembode-7b-it
      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: 36.58
      name: accuracy
    source:
      url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/gembode-7b-it
      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: 34.76
      name: accuracy
    source:
      url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/gembode-7b-it
      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: 79.09
      name: f1-macro
    source:
      url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/gembode-7b-it
      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: 64.95
      name: pearson
    source:
      url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/gembode-7b-it
      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: 64.67
      name: f1-macro
    source:
      url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/gembode-7b-it
      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: 86.27
      name: f1-macro
    source:
      url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/gembode-7b-it
      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: 63.61
      name: f1-macro
    source:
      url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/gembode-7b-it
      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: 66.17
      name: f1-macro
    source:
      url: https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/gembode-7b-it
      name: Open Portuguese LLM Leaderboard
---
# gembode-7b-it

<!--- PROJECT LOGO -->
<p align="center">
  <img src="https://huggingface.co./recogna-nlp/GemBode-2b-it/resolve/main/gembode.jpg" alt="Phi-Bode Logo" width="400" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
</p>

GemmBode é um modelo de linguagem ajustado para o idioma português, desenvolvido a partir do modelo Gemma-7b-it fornecido pela [Google](https://huggingface.co./google/gemma-7b-it).

## Características Principais

- **Modelo Base:** Gemma-7b-it, criado pela Google, com 7 bilhões de parâmetros.
- **Dataset para Fine-tuning:** [UltraAlpaca](https://huggingface.co./datasets/recogna-nlp/ultra-alpaca-ptbr)
- **Treinamento:** O treinamento foi realizado a partir do fine-tuning, com QLoRA do gemma-7b-it.


# Resultados da avaliação do Open Portuguese LLM Leaderboard

Detailed results can be found [here](https://huggingface.co./datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/recogna-nlp/gembode-7b-it) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co./spaces/eduagarcia/open_pt_llm_leaderboard)

|          Metric          | Value  |
|--------------------------|--------|
|Average                   |**60.6**|
|ENEM Challenge (No Images)|   49.34|
|BLUEX (No Images)         |   36.58|
|OAB Exams                 |   34.76|
|Assin2 RTE                |   79.09|
|Assin2 STS                |   64.95|
|FaQuAD NLI                |   64.67|
|HateBR Binary             |   86.27|
|PT Hate Speech Binary     |   63.61|
|tweetSentBR               |   66.17|