Model: TucanoBR/Tucano-2b4-Instruct
Author: TucanoBR
Pipeline: text-generation
Library: transformers
Tags: transformers, pytorch, safetensors, llama, text-generation, text-generation-inference, conversational, pt, dataset:nicholasKluge/instruct-aira-dataset-v3, dataset:cnmoro/GPT4-500k-Augmented-PTBR-Clean, dataset:rhaymison/orca-math-portuguese-64k, dataset:nicholasKluge/reward-aira-dataset, arxiv:2411.07854, base_model:TucanoBR/Tucano-2b4, base_model:finetune:TucanoBR/Tucano-2b4, license:apache-2.0, model-index, co2_eq_emissions, endpoints_compatible, deploy:azure, region:us
Base models (finetune): id: TucanoBR/Tucano-2b4
Card metadata: language: pt
license: apache-2.0
library_name: transformers
tags: text-generation-inference
datasets: nicholasKluge/instruct-aira-dataset-v3, cnmoro/GPT4-500k-Augmented-PTBR-Clean, rhaymison/orca-math-portuguese-64k, nicholasKluge/reward-aira-dataset
metrics: perplexity
pipeline_tag: text-generation
widget: text: <instruction>Cite algumas bandas de rock brasileiras famosas.</instruction>
example_title: Exemplo, text: <instruction>Invente uma história sobre um encanador com poderes mágicos.</instruction>
example_title: Exemplo, text: <instruction>Qual cidade é a capital do estado do Rio Grande do Sul?</instruction>
example_title: Exemplo, text: <instruction>Diga o nome de uma maravilha culinária característica da cosinha Portuguesa?</instruction>
example_title: Exemplo
inference: parameters: repetition_penalty: 1.2
temperature: 0.1
top_k: 50
top_p: 1
max_new_tokens: 150
co2_eq_emissions: emissions: 42270
source: CodeCarbon
training_type: pre-training
geographical_location: Germany
hardware_used: NVIDIA A100-SXM4-80GB
model-index: name: Tucano-2b4-Instruct
results: task: type: text-generation
name: Text Generation
dataset: name: CALAME-PT
type: NOVA-vision-language/calame-pt
split: all
args: num_few_shot: 0
metrics: type: acc
value: 57.66
name: accuracy
verified: no
source: url: https://huggingface.co/datasets/NOVA-vision-language/calame-pt
name: Context-Aware LAnguage Modeling Evaluation for Portuguese, task: type: text-generation
name: Text Generation
dataset: name: LAMBADA-PT
type: TucanoBR/lambada-pt
split: train
args: num_few_shot: 0
metrics: type: acc
value: 39.92
name: accuracy
verified: no
source: url: https://huggingface.co/datasets/TucanoBR/lambada-pt
name: LAMBADA-PT, 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: 20.43
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
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: 22.81
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
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: 24.83
name: accuracy
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
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: 43.39
name: f1-macro
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
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: 10
metrics: type: pearson
value: 6.31
name: pearson
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
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: 43.97
name: f1-macro
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
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: 27.7
name: f1-macro
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
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: 29.18
name: f1-macro
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
name: Open Portuguese LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: tweetSentBR
type: eduagarcia-temp/tweetsentbr
split: test
args: num_few_shot: 25
metrics: type: f1_macro
value: 43.11
name: f1-macro
verified: no
source: url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard
name: Open Portuguese LLM Leaderboard, task: type: text-generation
name: Text Generation
dataset: name: ARC-Challenge (PT)
type: arc_pt
args: num_few_shot: 25
metrics: type: acc_norm
value: 32.05
name: normalized accuracy
verified: no
source: url: https://github.com/nlp-uoregon/mlmm-evaluation
name: Evaluation Framework for Multilingual Large Language Models, task: type: text-generation
name: Text Generation
dataset: name: HellaSwag (PT)
type: hellaswag_pt
args: num_few_shot: 10
metrics: type: acc_norm
value: 48.28
name: normalized accuracy
verified: no
source: url: https://github.com/nlp-uoregon/mlmm-evaluation
name: Evaluation Framework for Multilingual Large Language Models, task: type: text-generation
name: Text Generation
dataset: name: TruthfulQA (PT)
type: truthfulqa_pt
args: num_few_shot: 0
metrics: type: mc2
value: 38.44
name: bleurt
verified: no
source: url: https://github.com/nlp-uoregon/mlmm-evaluation
name: Evaluation Framework for Multilingual Large Language Models, task: type: text-generation
name: Text Generation
dataset: name: Alpaca-Eval (PT)
type: alpaca_eval_pt
args: num_few_shot: 0
metrics: type: lc_winrate
value: 13
name: length controlled winrate
verified: no
source: url: https://github.com/tatsu-lab/alpaca_eval
name: AlpacaEval
base_model: TucanoBR/Tucano-2b4
Likes: 5 | All-time downloads: 10833
Created: 2024-11-07 14:00:04