Commit
•
c7f5560
1
Parent(s):
a5390a4
Adding the Open Portuguese LLM Leaderboard Evaluation Results (#1)
Browse files- Adding the Open Portuguese LLM Leaderboard Evaluation Results (6c294787208832c22d52b45b0604133686731858)
Co-authored-by: Open PT LLM Leaderboard PR Bot <leaderboard-pt-pr-bot@users.noreply.huggingface.co>
README.md
CHANGED
@@ -1,4 +1,8 @@
|
|
1 |
---
|
|
|
|
|
|
|
|
|
2 |
library_name: peft
|
3 |
tags:
|
4 |
- Phi-2B
|
@@ -6,16 +10,133 @@ tags:
|
|
6 |
- Bode
|
7 |
- LLM
|
8 |
- Alpaca
|
9 |
-
license: mit
|
10 |
-
language:
|
11 |
-
- pt
|
12 |
-
- en
|
13 |
metrics:
|
14 |
- accuracy
|
15 |
- f1
|
16 |
- precision
|
17 |
- recall
|
18 |
pipeline_tag: text-generation
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
19 |
---
|
20 |
|
21 |
# Phi-Bode
|
@@ -110,4 +231,20 @@ Se você deseja utilizar o Phi-Bode em sua pesquisa, cite-o da seguinte maneira:
|
|
110 |
doi = { 10.57967/hf/1880 },
|
111 |
publisher = { Hugging Face }
|
112 |
}
|
113 |
-
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- pt
|
4 |
+
- en
|
5 |
+
license: mit
|
6 |
library_name: peft
|
7 |
tags:
|
8 |
- Phi-2B
|
|
|
10 |
- Bode
|
11 |
- LLM
|
12 |
- Alpaca
|
|
|
|
|
|
|
|
|
13 |
metrics:
|
14 |
- accuracy
|
15 |
- f1
|
16 |
- precision
|
17 |
- recall
|
18 |
pipeline_tag: text-generation
|
19 |
+
model-index:
|
20 |
+
- name: Phi-Bode
|
21 |
+
results:
|
22 |
+
- task:
|
23 |
+
type: text-generation
|
24 |
+
name: Text Generation
|
25 |
+
dataset:
|
26 |
+
name: ENEM Challenge (No Images)
|
27 |
+
type: eduagarcia/enem_challenge
|
28 |
+
split: train
|
29 |
+
args:
|
30 |
+
num_few_shot: 3
|
31 |
+
metrics:
|
32 |
+
- type: acc
|
33 |
+
value: 33.94
|
34 |
+
name: accuracy
|
35 |
+
source:
|
36 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/Phi-Bode
|
37 |
+
name: Open Portuguese LLM Leaderboard
|
38 |
+
- task:
|
39 |
+
type: text-generation
|
40 |
+
name: Text Generation
|
41 |
+
dataset:
|
42 |
+
name: BLUEX (No Images)
|
43 |
+
type: eduagarcia-temp/BLUEX_without_images
|
44 |
+
split: train
|
45 |
+
args:
|
46 |
+
num_few_shot: 3
|
47 |
+
metrics:
|
48 |
+
- type: acc
|
49 |
+
value: 25.31
|
50 |
+
name: accuracy
|
51 |
+
source:
|
52 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/Phi-Bode
|
53 |
+
name: Open Portuguese LLM Leaderboard
|
54 |
+
- task:
|
55 |
+
type: text-generation
|
56 |
+
name: Text Generation
|
57 |
+
dataset:
|
58 |
+
name: OAB Exams
|
59 |
+
type: eduagarcia/oab_exams
|
60 |
+
split: train
|
61 |
+
args:
|
62 |
+
num_few_shot: 3
|
63 |
+
metrics:
|
64 |
+
- type: acc
|
65 |
+
value: 28.56
|
66 |
+
name: accuracy
|
67 |
+
source:
|
68 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/Phi-Bode
|
69 |
+
name: Open Portuguese LLM Leaderboard
|
70 |
+
- task:
|
71 |
+
type: text-generation
|
72 |
+
name: Text Generation
|
73 |
+
dataset:
|
74 |
+
name: Assin2 RTE
|
75 |
+
type: assin2
|
76 |
+
split: test
|
77 |
+
args:
|
78 |
+
num_few_shot: 15
|
79 |
+
metrics:
|
80 |
+
- type: f1_macro
|
81 |
+
value: 68.1
|
82 |
+
name: f1-macro
|
83 |
+
- type: pearson
|
84 |
+
value: 30.57
|
85 |
+
name: pearson
|
86 |
+
source:
|
87 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/Phi-Bode
|
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: 43.97
|
101 |
+
name: f1-macro
|
102 |
+
source:
|
103 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/Phi-Bode
|
104 |
+
name: Open Portuguese LLM Leaderboard
|
105 |
+
- task:
|
106 |
+
type: text-generation
|
107 |
+
name: Text Generation
|
108 |
+
dataset:
|
109 |
+
name: HateBR Binary
|
110 |
+
type: eduagarcia/portuguese_benchmark
|
111 |
+
split: test
|
112 |
+
args:
|
113 |
+
num_few_shot: 25
|
114 |
+
metrics:
|
115 |
+
- type: f1_macro
|
116 |
+
value: 60.51
|
117 |
+
name: f1-macro
|
118 |
+
- type: f1_macro
|
119 |
+
value: 54.6
|
120 |
+
name: f1-macro
|
121 |
+
source:
|
122 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/Phi-Bode
|
123 |
+
name: Open Portuguese LLM Leaderboard
|
124 |
+
- task:
|
125 |
+
type: text-generation
|
126 |
+
name: Text Generation
|
127 |
+
dataset:
|
128 |
+
name: tweetSentBR
|
129 |
+
type: eduagarcia-temp/tweetsentbr
|
130 |
+
split: test
|
131 |
+
args:
|
132 |
+
num_few_shot: 25
|
133 |
+
metrics:
|
134 |
+
- type: f1_macro
|
135 |
+
value: 46.78
|
136 |
+
name: f1-macro
|
137 |
+
source:
|
138 |
+
url: https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard?query=recogna-nlp/Phi-Bode
|
139 |
+
name: Open Portuguese LLM Leaderboard
|
140 |
---
|
141 |
|
142 |
# Phi-Bode
|
|
|
231 |
doi = { 10.57967/hf/1880 },
|
232 |
publisher = { Hugging Face }
|
233 |
}
|
234 |
+
```
|
235 |
+
# [Open Portuguese LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/eduagarcia/open_pt_llm_leaderboard)
|
236 |
+
Detailed results can be found [here](https://huggingface.co/datasets/eduagarcia-temp/llm_pt_leaderboard_raw_results/tree/main/recogna-nlp/Phi-Bode)
|
237 |
+
|
238 |
+
| Metric | Value |
|
239 |
+
|--------------------------|---------|
|
240 |
+
|Average |**43.59**|
|
241 |
+
|ENEM Challenge (No Images)| 33.94|
|
242 |
+
|BLUEX (No Images) | 25.31|
|
243 |
+
|OAB Exams | 28.56|
|
244 |
+
|Assin2 RTE | 68.10|
|
245 |
+
|Assin2 STS | 30.57|
|
246 |
+
|FaQuAD NLI | 43.97|
|
247 |
+
|HateBR Binary | 60.51|
|
248 |
+
|PT Hate Speech Binary | 54.60|
|
249 |
+
|tweetSentBR | 46.78|
|
250 |
+
|