File size: 14,474 Bytes
d48f2bf dcb9a53 d48f2bf dcb9a53 d48f2bf a545a4b dcb9a53 d48f2bf a477325 d48f2bf 00ca6e1 d48f2bf d474da6 d48f2bf d474da6 d48f2bf d474da6 d48f2bf d474da6 d48f2bf dcb9a53 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 |
---
language:
- pt
- en
license: cc
tags:
- text-generation-inference
- transformers
- mistral
- gguf
- brazil
- brasil
- portuguese
base_model: mistralai/Mistral-7B-Instruct-v0.2
metrics:
- name: assin2_rte f1_macro
type: assin2_rte
value: 90.13
- name: assin2_rte acc
type: assin2_rte
value: 90.16
- name: assin2_sts pearson
type: assin2_sts
value: 71.51
- name: assin2_sts mse
type: assin2_sts
value: 68.03
- name: bluex acc
type: bluex
value: 47.98
- name: enem acc
type: enem
value: 58.43
- name: faquad_nli f1_macro
type: faquad_nli
value: 64.24
- name: faquad_nli acc
type: faquad_nli
value: 67.69
- name: hatebr_offensive_binary f1_macro
type: hatebr_offensive_binary
value: 83.61
- name: hatebr_offensive_binary acc
type: hatebr_offensive_binary
value: 83.71
- name: oab_exams acc
type: oab_exams
value: 38.41
- name: portuguese_hate_speech_binary f1_macro
type: portuguese_hate_speech_binary
value: 61.87
- name: portuguese_hate_speech_binary acc
type: portuguese_hate_speech_binary
value: 63.22
pipeline_tag: text-generation
model-index:
- name: CabraMistral7b
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: 60.81
name: accuracy
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=nicolasdec/CabraMistral7b
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: 46.87
name: accuracy
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=nicolasdec/CabraMistral7b
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: 38.59
name: accuracy
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=nicolasdec/CabraMistral7b
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: 90.27
name: f1-macro
- type: pearson
value: 72.25
name: pearson
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=nicolasdec/CabraMistral7b
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: 64.35
name: f1-macro
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=nicolasdec/CabraMistral7b
name: Open Portuguese LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HateBR Binary
type: eduagarcia/portuguese_benchmark
split: test
args:
num_few_shot: 25
metrics:
- type: f1_macro
value: 83.15
name: f1-macro
- type: f1_macro
value: 64.82
name: f1-macro
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=nicolasdec/CabraMistral7b
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: 64.8
name: f1-macro
source:
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=nicolasdec/CabraMistral7b
name: Open Portuguese LLM Leaderboard
---
# Cabra Mistral 7b v2
<img src="https://uploads-ssl.webflow.com/65f77c0240ae1c68f8192771/660b1a4d574293d8a1ce48ca_cabra1.png" width="400" height="400">
Esse modelo é um finetune do [Mistral 7b Instruct 0.2](https://huggingface.co/mistralai/mistral-7b-instruct-v0.2) com o dataset interno Cabra 10k. Esse modelo é optimizado para português. Ele apresenta melhoria em varios benchmarks brasileiros em comparação com o modelo base.
**Exprimente o nosso demo aqui: [CabraChat](https://huggingface.co/spaces/nicolasdec/CabraChat).**
**Conheça os nossos outros modelos: [Cabra](https://huggingface.co/collections/botbot-ai/models-6604c2069ceef04f834ba99b).**
## Detalhes do Modelo
### Modelo: Mistral 7b Instruct 0.2
Mistral-7B-v0.1 é um modelo de transformador, com as seguintes escolhas arquitetônicas:
- Grouped-Query Attention
- Sliding-Window Attention
- Byte-fallback BPE tokenizer
### dataset: Cabra 10k
Dataset interno para finetuning. Vamos lançar em breve.
### Quantização / GGUF
Colocamos diversas versões (GGUF) quantanizadas no branch "quantanization".
### Exemplo
```
<s> [INST] who is Elon Musk? [/INST]Elon Musk é um empreendedor, inventor e capitalista americano. Ele é o fundador, CEO e CTO da SpaceX, CEO da Neuralink e fundador do The Boring Company. Musk também é o proprietário do Twitter.</s>
```
### Paramentros de trainamento
```
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 3
```
### Framework
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu118
- Datasets 2.14.6
- Tokenizers 0.15.2
## Uso
O modelo é destinado, por agora, a fins de pesquisa. As áreas e tarefas de pesquisa possíveis incluem:
- Pesquisa sobre modelos gerativos.
- Investigação e compreensão das limitações e viéses de modelos gerativos.
**Proibido para uso comercial. Somente Pesquisa.**
### Evals
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr |
|-----------------------------|---------|----------------------|--------|----------|--------|---------|
| assin2_rte | 1.1 | all | 15 | f1_macro | 0.9013 | ± 0.0043 |
| | | all | 15 | acc | 0.9016 | ± 0.0043 |
| assin2_sts | 1.1 | all | 15 | pearson | 0.7151 | ± 0.0074 |
| | | all | 15 | mse | 0.6803 | ± N/A |
| bluex | 1.1 | all | 3 | acc | 0.4798 | ± 0.0107 |
| | | exam_id__USP_2019 | 3 | acc | 0.375 | ± 0.044 |
| | | exam_id__USP_2021 | 3 | acc | 0.3462 | ± 0.0382 |
| | | exam_id__USP_2020 | 3 | acc | 0.4107 | ± 0.0379 |
| | | exam_id__UNICAMP_2018| 3 | acc | 0.4815 | ± 0.0392 |
| | | exam_id__UNICAMP_2020| 3 | acc | 0.4727 | ± 0.0389 |
| | | exam_id__UNICAMP_2021_1| 3 | acc | 0.413 | ± 0.0418 |
| | | exam_id__UNICAMP_2019| 3 | acc | 0.42 | ± 0.0404 |
| | | exam_id__UNICAMP_2022| 3 | acc | 0.5897 | ± 0.0456 |
| | | exam_id__USP_2022 | 3 | acc | 0.449 | ± 0.041 |
| | | exam_id__USP_2024 | 3 | acc | 0.6341 | ± 0.0434 |
| | | exam_id__UNICAMP_2024| 3 | acc | 0.6 | ± 0.0422 |
| | | exam_id__USP_2023 | 3 | acc | 0.5455 | ± 0.0433 |
| | | exam_id__UNICAMP_2023| 3 | acc | 0.5349 | ± 0.044 |
| | | exam_id__USP_2018 | 3 | acc | 0.4815 | ± 0.0393 |
| | | exam_id__UNICAMP_2021_2| 3 | acc | 0.5098 | ± 0.0403 |
| enem | 1.1 | all | 3 | acc | 0.5843 | ± 0.0075 |
| | | exam_id__2010 | 3 | acc | 0.5726 | ± 0.0264 |
| | | exam_id__2009 | 3 | acc | 0.6 | ± 0.0264 |
| | | exam_id__2014 | 3 | acc | 0.633 | ± 0.0268 |
| | | exam_id__2022 | 3 | acc | 0.6165 | ± 0.0243 |
| | | exam_id__2012 | 3 | acc | 0.569 | ± 0.0265 |
| | | exam_id__2013 | 3 | acc | 0.5833 | ± 0.0274 |
| | | exam_id__2016_2 | 3 | acc | 0.5203 | ± 0.026 |
| | | exam_id__2011 | 3 | acc | 0.6325 | ± 0.0257 |
| | | exam_id__2023 | 3 | acc | 0.5778 | ± 0.0246 |
| | | exam_id__2016 | 3 | acc | 0.595 | ± 0.0258 |
| | | exam_id__2017 | 3 | acc | 0.5517 | ± 0.0267 |
| | | exam_id__2015 | 3 | acc | 0.563 | ± 0.0261 |
| faquad_nli | 1.1 | all | 15 | f1_macro | 0.6424 | ± 0.0138 |
| | | all | 15 | acc | 0.6769 | ± 0.013 |
| hatebr_offensive_binary | 1 | all | 25 | f1_macro | 0.8361 | ± 0.007 |
| | | all | 25 | acc | 0.8371 | ± 0.007 |
| oab_exams | 1.5 | all | 3 | acc | 0.3841 | ± 0.006 |
| | | exam_id__2011-03 | 3 | acc | 0.3636 | ± 0.0279 |
| | | exam_id__2014-14 | 3 | acc | 0.475 | ± 0.0323 |
| | | exam_id__2016-21 | 3 | acc | 0.4125 | ± 0.0318 |
| | | exam_id__2012-06a | 3 | acc | 0.3875 | ± 0.0313 |
| | | exam_id__2014-13 | 3 | acc | 0.325 | ± 0.0303 |
| | | exam_id__2015-16 | 3 | acc | 0.425 | ± 0.032 |
| | | exam_id__2010-02 | 3 | acc | 0.4 | ± 0.0283 |
| | | exam_id__2012-08 | 3 | acc | 0.3875 | ± 0.0314 |
| | | exam_id__2011-05 | 3 | acc | 0.375 | ± 0.0312 |
| | | exam_id__2017-22 | 3 | acc | 0.4 | ± 0.0316 |
| | | exam_id__2018-25 | 3 | acc | 0.4125 | ± 0.0318 |
| | | exam_id__2012-09 | 3 | acc | 0.3636 | ± 0.0317 |
| | | exam_id__2017-24 | 3 | acc | 0.3375 | ± 0.0304 |
| | | exam_id__2016-20a | 3 | acc | 0.3125 | ± 0.0299 |
| | | exam_id__2012-06 | 3 | acc | 0.425 | ± 0.0318 |
| | | exam_id__2013-12 | 3 | acc | 0.4375 | ± 0.0321 |
| | | exam_id__2016-20 | 3 | acc | 0.45 | ± 0.0322 |
| | | exam_id__2013-11 | 3 | acc | 0.4 | ± 0.0316 |
| | | exam_id__2015-17 | 3 | acc | 0.4231 | ± 0.0323 |
| | | exam_id__2015-18 | 3 | acc | 0.4 | ± 0.0316 |
| | | exam_id__2017-23 | 3 | acc | 0.35 | ± 0.0308 |
| | | exam_id__2010-01 | 3 | acc | 0.2471 | ± 0.0271 |
| | | exam_id__2011-04 | 3 | acc | 0.375 | ± 0.0313 |
| | | exam_id__2016-19 | 3 | acc | 0.4103 | ± 0.0321 |
| | | exam_id__2013-10 | 3 | acc | 0.3375 | ± 0.0305 |
| | | exam_id__2012-07 | 3 | acc | 0.3625 | ± 0.031 |
| | | exam_id__2014-15 | 3 | acc | 0.3846 | ± 0.0318 |
| portuguese_hate_speech_binary | 1 | all | 25 | f1_macro | 0.6187 | ± 0.0119 |
| | | all | 25 | acc | 0.6322 | ± 0.0117 |
# [Open Portuguese LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/nicolasdec/CabraMistral7b)
| Metric | Value |
|--------------------------|--------|
|Average |**65.1**|
|ENEM Challenge (No Images)| 60.81|
|BLUEX (No Images) | 46.87|
|OAB Exams | 38.59|
|Assin2 RTE | 90.27|
|Assin2 STS | 72.25|
|FaQuAD NLI | 64.35|
|HateBR Binary | 83.15|
|PT Hate Speech Binary | 64.82|
|tweetSentBR | 64.80|
|