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Adding Evaluation Results

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This is an automated PR created with https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr

The purpose of this PR is to add evaluation results from the Open LLM Leaderboard to your model card.

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  1. README.md +152 -39
README.md CHANGED
@@ -7,16 +7,16 @@ language:
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  - vi
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  - ms
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  - lo
 
 
 
 
 
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  datasets:
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  - cerebras/SlimPajama-627B
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  - Skywork/SkyPile-150B
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  - allenai/MADLAD-400
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  - cc100
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- tags:
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- - multilingual
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- - sea
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- - sailor
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- license: apache-2.0
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  base_model: Qwen/Qwen1.5-1.8B
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  model-index:
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  - name: Sailor-1.8B
@@ -27,117 +27,217 @@ model-index:
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  name: XQuAD-Thai
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  type: XQuAD-Thai
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  metrics:
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- - name: EM (3-Shot)
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- type: EM (3-Shot)
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  value: 32.72
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- - name: F1 (3-Shot)
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- type: F1 (3-Shot)
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  value: 48.66
 
36
  - task:
37
  type: text-generation
38
  dataset:
39
  name: TyDiQA-Indonesian
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  type: TyDiQA-Indonesian
41
  metrics:
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- - name: EM (3-Shot)
43
- type: EM (3-Shot)
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  value: 40.88
45
- - name: F1 (3-Shot)
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- type: F1 (3-Shot)
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  value: 65.37
 
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  - task:
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  type: text-generation
50
  dataset:
51
  name: XQuAD-Vietnamese
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  type: XQuAD-Vietnamese
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  metrics:
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- - name: EM (3-Shot)
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- type: EM (3-Shot)
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  value: 34.22
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- - name: F1 (3-Shot)
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- type: F1 (3-Shot)
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  value: 53.35
 
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  - task:
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  type: text-generation
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  dataset:
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  name: XCOPA-Thai
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  type: XCOPA-Thai
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  metrics:
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- - name: EM (3-Shot)
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- type: EM (3-Shot)
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  value: 53.8
 
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  - task:
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  type: text-generation
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  dataset:
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  name: XCOPA-Indonesian
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  type: XCOPA-Indonesian
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  metrics:
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- - name: EM (3-Shot)
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- type: EM (3-Shot)
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- value: 64.20
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  - task:
79
  type: text-generation
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  dataset:
81
  name: XCOPA-Vietnamese
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  type: XCOPA-Vietnamese
83
  metrics:
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- - name: EM (3-Shot)
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- type: EM (3-Shot)
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- value: 63.20
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  - task:
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  type: text-generation
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  dataset:
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  name: M3Exam-Thai
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  type: M3Exam-Thai
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  metrics:
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- - name: EM (3-Shot)
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- type: EM (3-Shot)
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  value: 25.38
 
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  - task:
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  type: text-generation
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  dataset:
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  name: M3Exam-Indonesian
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  type: M3Exam-Indonesian
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  metrics:
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- - name: EM (3-Shot)
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- type: EM (3-Shot)
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- value: 28.30
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  - task:
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  type: text-generation
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  dataset:
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  name: M3Exam-Vietnamese
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  type: M3Exam-Vietnamese
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  metrics:
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- - name: EM (3-Shot)
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- type: EM (3-Shot)
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  value: 34.71
 
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  - task:
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  type: text-generation
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  dataset:
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  name: BELEBELE-Thai
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  type: BELEBELE-Thai
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  metrics:
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- - name: EM (3-Shot)
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- type: EM (3-Shot)
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  value: 34.22
 
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  - task:
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  type: text-generation
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  dataset:
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  name: BELEBELE-Indonesian
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  type: BELEBELE-Indonesian
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  metrics:
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- - name: EM (3-Shot)
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- type: EM (3-Shot)
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  value: 34.89
 
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  - task:
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  type: text-generation
134
  dataset:
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  name: BELEBELE-Vietnamese
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  type: BELEBELE-Vietnamese
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  metrics:
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- - name: EM (3-Shot)
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- type: EM (3-Shot)
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  value: 35.33
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
141
  ---
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  <div align="center">
@@ -210,4 +310,17 @@ No restrict on the research and the commercial use, but should comply with the [
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  # Contact Us
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- If you have any questions, please raise an issue or contact us at [doulx@sea.com](mailto:doulx@sea.com) or [liuqian@sea.com](mailto:liuqian@sea.com).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7
  - vi
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  - ms
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  - lo
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+ license: apache-2.0
11
+ tags:
12
+ - multilingual
13
+ - sea
14
+ - sailor
15
  datasets:
16
  - cerebras/SlimPajama-627B
17
  - Skywork/SkyPile-150B
18
  - allenai/MADLAD-400
19
  - cc100
 
 
 
 
 
20
  base_model: Qwen/Qwen1.5-1.8B
21
  model-index:
22
  - name: Sailor-1.8B
 
27
  name: XQuAD-Thai
28
  type: XQuAD-Thai
29
  metrics:
30
+ - type: EM (3-Shot)
 
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  value: 32.72
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+ name: EM (3-Shot)
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+ - type: F1 (3-Shot)
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  value: 48.66
35
+ name: F1 (3-Shot)
36
  - task:
37
  type: text-generation
38
  dataset:
39
  name: TyDiQA-Indonesian
40
  type: TyDiQA-Indonesian
41
  metrics:
42
+ - type: EM (3-Shot)
 
43
  value: 40.88
44
+ name: EM (3-Shot)
45
+ - type: F1 (3-Shot)
46
  value: 65.37
47
+ name: F1 (3-Shot)
48
  - task:
49
  type: text-generation
50
  dataset:
51
  name: XQuAD-Vietnamese
52
  type: XQuAD-Vietnamese
53
  metrics:
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+ - type: EM (3-Shot)
 
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  value: 34.22
56
+ name: EM (3-Shot)
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+ - type: F1 (3-Shot)
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  value: 53.35
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+ name: F1 (3-Shot)
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  - task:
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  type: text-generation
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  dataset:
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  name: XCOPA-Thai
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  type: XCOPA-Thai
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  metrics:
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+ - type: EM (3-Shot)
 
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  value: 53.8
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+ name: EM (3-Shot)
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  - task:
70
  type: text-generation
71
  dataset:
72
  name: XCOPA-Indonesian
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  type: XCOPA-Indonesian
74
  metrics:
75
+ - type: EM (3-Shot)
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+ value: 64.2
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+ name: EM (3-Shot)
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  - task:
79
  type: text-generation
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  dataset:
81
  name: XCOPA-Vietnamese
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  type: XCOPA-Vietnamese
83
  metrics:
84
+ - type: EM (3-Shot)
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+ value: 63.2
86
+ name: EM (3-Shot)
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  - task:
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  type: text-generation
89
  dataset:
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  name: M3Exam-Thai
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  type: M3Exam-Thai
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  metrics:
93
+ - type: EM (3-Shot)
 
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  value: 25.38
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+ name: EM (3-Shot)
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  - task:
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  type: text-generation
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  dataset:
99
  name: M3Exam-Indonesian
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  type: M3Exam-Indonesian
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  metrics:
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+ - type: EM (3-Shot)
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+ value: 28.3
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+ name: EM (3-Shot)
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  - task:
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  type: text-generation
107
  dataset:
108
  name: M3Exam-Vietnamese
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  type: M3Exam-Vietnamese
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  metrics:
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+ - type: EM (3-Shot)
 
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  value: 34.71
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+ name: EM (3-Shot)
114
  - task:
115
  type: text-generation
116
  dataset:
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  name: BELEBELE-Thai
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  type: BELEBELE-Thai
119
  metrics:
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+ - type: EM (3-Shot)
 
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  value: 34.22
122
+ name: EM (3-Shot)
123
  - task:
124
  type: text-generation
125
  dataset:
126
  name: BELEBELE-Indonesian
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  type: BELEBELE-Indonesian
128
  metrics:
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+ - type: EM (3-Shot)
 
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  value: 34.89
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+ name: EM (3-Shot)
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  - task:
133
  type: text-generation
134
  dataset:
135
  name: BELEBELE-Vietnamese
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  type: BELEBELE-Vietnamese
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  metrics:
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+ - type: EM (3-Shot)
 
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  value: 35.33
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+ name: EM (3-Shot)
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: AI2 Reasoning Challenge (25-Shot)
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+ type: ai2_arc
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+ config: ARC-Challenge
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+ split: test
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+ args:
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+ num_few_shot: 25
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+ metrics:
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+ - type: acc_norm
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+ value: 33.11
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sail/Sailor-1.8B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: HellaSwag (10-Shot)
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+ type: hellaswag
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+ split: validation
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+ args:
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+ num_few_shot: 10
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+ metrics:
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+ - type: acc_norm
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+ value: 57.06
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sail/Sailor-1.8B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MMLU (5-Shot)
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+ type: cais/mmlu
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+ config: all
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 30.44
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sail/Sailor-1.8B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: TruthfulQA (0-shot)
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+ type: truthful_qa
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+ config: multiple_choice
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+ split: validation
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: mc2
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+ value: 37.81
204
+ source:
205
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sail/Sailor-1.8B
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
209
+ name: Text Generation
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+ dataset:
211
+ name: Winogrande (5-shot)
212
+ type: winogrande
213
+ config: winogrande_xl
214
+ split: validation
215
+ args:
216
+ num_few_shot: 5
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+ metrics:
218
+ - type: acc
219
+ value: 58.41
220
+ name: accuracy
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+ source:
222
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sail/Sailor-1.8B
223
+ name: Open LLM Leaderboard
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+ - task:
225
+ type: text-generation
226
+ name: Text Generation
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+ dataset:
228
+ name: GSM8k (5-shot)
229
+ type: gsm8k
230
+ config: main
231
+ split: test
232
+ args:
233
+ num_few_shot: 5
234
+ metrics:
235
+ - type: acc
236
+ value: 2.73
237
+ name: accuracy
238
+ source:
239
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sail/Sailor-1.8B
240
+ name: Open LLM Leaderboard
241
  ---
242
 
243
  <div align="center">
 
310
 
311
  # Contact Us
312
 
313
+ If you have any questions, please raise an issue or contact us at [doulx@sea.com](mailto:doulx@sea.com) or [liuqian@sea.com](mailto:liuqian@sea.com).
314
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
315
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_sail__Sailor-1.8B)
316
+
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+ | Metric |Value|
318
+ |---------------------------------|----:|
319
+ |Avg. |36.59|
320
+ |AI2 Reasoning Challenge (25-Shot)|33.11|
321
+ |HellaSwag (10-Shot) |57.06|
322
+ |MMLU (5-Shot) |30.44|
323
+ |TruthfulQA (0-shot) |37.81|
324
+ |Winogrande (5-shot) |58.41|
325
+ |GSM8k (5-shot) | 2.73|
326
+