Adding the Open Portuguese LLM Leaderboard Evaluation Results
#1
by
leaderboard-pt-pr-bot
- opened
README.md
CHANGED
@@ -1,8 +1,155 @@
|
|
1 |
---
|
2 |
-
license: mit
|
3 |
language: pt
|
|
|
4 |
base_model: mistralai/Mistral-7B-Instruct-v0.1
|
5 |
pipeline_tag: text-generation
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
6 |
---
|
7 |
|
8 |
|
@@ -201,4 +348,23 @@ llm.create_chat_completion(
|
|
201 |
## Carbon Footprint - Environmental Concerns
|
202 |
A pegada de Carbono deste subprojeto consumiu 6 de horas de computação acumuladas em GPUs em hardware do tipo NVIDIA RTX 3070 e CPU Intel Xeon E5. Toda energia consumida foi de origem solar, com produção de 0.0g de CO2 ou gases de efeitos estufa.
|
203 |
|
204 |
-
The Carbon footprint of this subproject consumed 6 hours of computing accumulated on hardware as NVIDIA RTX 3070 GPUs (100W-270W) and Intel Xeon E5 CPU (100W). All energy consumed was of solar origin, producing 0.0g of CO2 or greenhouse gases.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
|
|
2 |
language: pt
|
3 |
+
license: mit
|
4 |
base_model: mistralai/Mistral-7B-Instruct-v0.1
|
5 |
pipeline_tag: text-generation
|
6 |
+
model-index:
|
7 |
+
- name: bluearara-7B-instruct-v02
|
8 |
+
results:
|
9 |
+
- task:
|
10 |
+
type: text-generation
|
11 |
+
name: Text Generation
|
12 |
+
dataset:
|
13 |
+
name: ENEM Challenge (No Images)
|
14 |
+
type: eduagarcia/enem_challenge
|
15 |
+
split: train
|
16 |
+
args:
|
17 |
+
num_few_shot: 3
|
18 |
+
metrics:
|
19 |
+
- type: acc
|
20 |
+
value: 28.48
|
21 |
+
name: accuracy
|
22 |
+
source:
|
23 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=fernandosola/bluearara-7B-instruct-v02
|
24 |
+
name: Open Portuguese LLM Leaderboard
|
25 |
+
- task:
|
26 |
+
type: text-generation
|
27 |
+
name: Text Generation
|
28 |
+
dataset:
|
29 |
+
name: BLUEX (No Images)
|
30 |
+
type: eduagarcia-temp/BLUEX_without_images
|
31 |
+
split: train
|
32 |
+
args:
|
33 |
+
num_few_shot: 3
|
34 |
+
metrics:
|
35 |
+
- type: acc
|
36 |
+
value: 21.84
|
37 |
+
name: accuracy
|
38 |
+
source:
|
39 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=fernandosola/bluearara-7B-instruct-v02
|
40 |
+
name: Open Portuguese LLM Leaderboard
|
41 |
+
- task:
|
42 |
+
type: text-generation
|
43 |
+
name: Text Generation
|
44 |
+
dataset:
|
45 |
+
name: OAB Exams
|
46 |
+
type: eduagarcia/oab_exams
|
47 |
+
split: train
|
48 |
+
args:
|
49 |
+
num_few_shot: 3
|
50 |
+
metrics:
|
51 |
+
- type: acc
|
52 |
+
value: 27.84
|
53 |
+
name: accuracy
|
54 |
+
source:
|
55 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=fernandosola/bluearara-7B-instruct-v02
|
56 |
+
name: Open Portuguese LLM Leaderboard
|
57 |
+
- task:
|
58 |
+
type: text-generation
|
59 |
+
name: Text Generation
|
60 |
+
dataset:
|
61 |
+
name: Assin2 RTE
|
62 |
+
type: assin2
|
63 |
+
split: test
|
64 |
+
args:
|
65 |
+
num_few_shot: 15
|
66 |
+
metrics:
|
67 |
+
- type: f1_macro
|
68 |
+
value: 56.04
|
69 |
+
name: f1-macro
|
70 |
+
source:
|
71 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=fernandosola/bluearara-7B-instruct-v02
|
72 |
+
name: Open Portuguese LLM Leaderboard
|
73 |
+
- task:
|
74 |
+
type: text-generation
|
75 |
+
name: Text Generation
|
76 |
+
dataset:
|
77 |
+
name: Assin2 STS
|
78 |
+
type: eduagarcia/portuguese_benchmark
|
79 |
+
split: test
|
80 |
+
args:
|
81 |
+
num_few_shot: 15
|
82 |
+
metrics:
|
83 |
+
- type: pearson
|
84 |
+
value: 21.3
|
85 |
+
name: pearson
|
86 |
+
source:
|
87 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=fernandosola/bluearara-7B-instruct-v02
|
88 |
+
name: Open Portuguese LLM Leaderboard
|
89 |
+
- task:
|
90 |
+
type: text-generation
|
91 |
+
name: Text Generation
|
92 |
+
dataset:
|
93 |
+
name: FaQuAD NLI
|
94 |
+
type: ruanchaves/faquad-nli
|
95 |
+
split: test
|
96 |
+
args:
|
97 |
+
num_few_shot: 15
|
98 |
+
metrics:
|
99 |
+
- type: f1_macro
|
100 |
+
value: 45.33
|
101 |
+
name: f1-macro
|
102 |
+
source:
|
103 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=fernandosola/bluearara-7B-instruct-v02
|
104 |
+
name: Open Portuguese LLM Leaderboard
|
105 |
+
- task:
|
106 |
+
type: text-generation
|
107 |
+
name: Text Generation
|
108 |
+
dataset:
|
109 |
+
name: HateBR Binary
|
110 |
+
type: ruanchaves/hatebr
|
111 |
+
split: test
|
112 |
+
args:
|
113 |
+
num_few_shot: 25
|
114 |
+
metrics:
|
115 |
+
- type: f1_macro
|
116 |
+
value: 84.14
|
117 |
+
name: f1-macro
|
118 |
+
source:
|
119 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=fernandosola/bluearara-7B-instruct-v02
|
120 |
+
name: Open Portuguese LLM Leaderboard
|
121 |
+
- task:
|
122 |
+
type: text-generation
|
123 |
+
name: Text Generation
|
124 |
+
dataset:
|
125 |
+
name: PT Hate Speech Binary
|
126 |
+
type: hate_speech_portuguese
|
127 |
+
split: test
|
128 |
+
args:
|
129 |
+
num_few_shot: 25
|
130 |
+
metrics:
|
131 |
+
- type: f1_macro
|
132 |
+
value: 52.17
|
133 |
+
name: f1-macro
|
134 |
+
source:
|
135 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=fernandosola/bluearara-7B-instruct-v02
|
136 |
+
name: Open Portuguese LLM Leaderboard
|
137 |
+
- task:
|
138 |
+
type: text-generation
|
139 |
+
name: Text Generation
|
140 |
+
dataset:
|
141 |
+
name: tweetSentBR
|
142 |
+
type: eduagarcia/tweetsentbr_fewshot
|
143 |
+
split: test
|
144 |
+
args:
|
145 |
+
num_few_shot: 25
|
146 |
+
metrics:
|
147 |
+
- type: f1_macro
|
148 |
+
value: 66.91
|
149 |
+
name: f1-macro
|
150 |
+
source:
|
151 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=fernandosola/bluearara-7B-instruct-v02
|
152 |
+
name: Open Portuguese LLM Leaderboard
|
153 |
---
|
154 |
|
155 |
|
|
|
348 |
## Carbon Footprint - Environmental Concerns
|
349 |
A pegada de Carbono deste subprojeto consumiu 6 de horas de computação acumuladas em GPUs em hardware do tipo NVIDIA RTX 3070 e CPU Intel Xeon E5. Toda energia consumida foi de origem solar, com produção de 0.0g de CO2 ou gases de efeitos estufa.
|
350 |
|
351 |
+
The Carbon footprint of this subproject consumed 6 hours of computing accumulated on hardware as NVIDIA RTX 3070 GPUs (100W-270W) and Intel Xeon E5 CPU (100W). All energy consumed was of solar origin, producing 0.0g of CO2 or greenhouse gases.
|
352 |
+
|
353 |
+
|
354 |
+
# Open Portuguese LLM Leaderboard Evaluation Results
|
355 |
+
|
356 |
+
Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/fernandosola/bluearara-7B-instruct-v02) and on the [🚀 Open Portuguese LLM Leaderboard](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
|
357 |
+
|
358 |
+
| Metric | Value |
|
359 |
+
|--------------------------|---------|
|
360 |
+
|Average |**44.89**|
|
361 |
+
|ENEM Challenge (No Images)| 28.48|
|
362 |
+
|BLUEX (No Images) | 21.84|
|
363 |
+
|OAB Exams | 27.84|
|
364 |
+
|Assin2 RTE | 56.04|
|
365 |
+
|Assin2 STS | 21.30|
|
366 |
+
|FaQuAD NLI | 45.33|
|
367 |
+
|HateBR Binary | 84.14|
|
368 |
+
|PT Hate Speech Binary | 52.17|
|
369 |
+
|tweetSentBR | 66.91|
|
370 |
+
|