Adding Evaluation Results
#2
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -7,16 +7,16 @@ language:
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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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license: apache-2.0
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base_model: Qwen/Qwen1.5-0.5B
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model-index:
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- name: Sailor-0.5B
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name: XQuAD-Thai
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type: XQuAD-Thai
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metrics:
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type: EM (3-Shot)
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value: 15.84
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value: 27.58
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- task:
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type: text-generation
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dataset:
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name: TyDiQA-Indonesian
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type: TyDiQA-Indonesian
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metrics:
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type: EM (3-Shot)
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value: 30.44
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value: 54.74
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- task:
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type: text-generation
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dataset:
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name: XQuAD-Vietnamese
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type: XQuAD-Vietnamese
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metrics:
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type: EM (3-Shot)
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value: 21.13
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value: 40.57
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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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- 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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- task:
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type: text-generation
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dataset:
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name: XCOPA-Vietnamese
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type: XCOPA-Vietnamese
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metrics:
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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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-
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type: EM (3-Shot)
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value: 24.41
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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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-
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type: EM (3-Shot)
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value: 26.15
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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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-
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type: EM (3-Shot)
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value: 30.91
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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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-
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type: EM (3-Shot)
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value: 32.22
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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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-
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type: EM (3-Shot)
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value: 30.89
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- task:
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type: text-generation
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dataset:
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name: BELEBELE-Vietnamese
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type: BELEBELE-Vietnamese
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metrics:
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-
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type: EM (3-Shot)
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value: 32.33
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---
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<div align="center">
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@@ -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).
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|
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- vi
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8 |
- ms
|
9 |
- lo
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10 |
+
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
|
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- cc100
|
|
|
|
|
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base_model: Qwen/Qwen1.5-0.5B
|
21 |
model-index:
|
22 |
- name: Sailor-0.5B
|
|
|
27 |
name: XQuAD-Thai
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28 |
type: XQuAD-Thai
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29 |
metrics:
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+
- type: EM (3-Shot)
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value: 15.84
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+
name: EM (3-Shot)
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+
- type: F1 (3-Shot)
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value: 27.58
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35 |
+
name: F1 (3-Shot)
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36 |
- task:
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type: text-generation
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38 |
dataset:
|
39 |
name: TyDiQA-Indonesian
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type: TyDiQA-Indonesian
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metrics:
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+
- type: EM (3-Shot)
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value: 30.44
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+
name: EM (3-Shot)
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+
- type: F1 (3-Shot)
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value: 54.74
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+
name: F1 (3-Shot)
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- task:
|
49 |
type: text-generation
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50 |
dataset:
|
51 |
name: XQuAD-Vietnamese
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52 |
type: XQuAD-Vietnamese
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53 |
metrics:
|
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+
- type: EM (3-Shot)
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value: 21.13
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+
name: EM (3-Shot)
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+
- type: F1 (3-Shot)
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value: 40.57
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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: 51.0
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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:
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name: XCOPA-Indonesian
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type: XCOPA-Indonesian
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metrics:
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+
- type: EM (3-Shot)
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value: 58.2
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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:
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name: XCOPA-Vietnamese
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type: XCOPA-Vietnamese
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metrics:
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+
- type: EM (3-Shot)
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value: 58.0
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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:
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name: M3Exam-Thai
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type: M3Exam-Thai
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metrics:
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- type: EM (3-Shot)
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value: 24.41
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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:
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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: 26.15
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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:
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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: 30.91
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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:
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name: BELEBELE-Thai
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type: BELEBELE-Thai
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metrics:
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+
- type: EM (3-Shot)
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value: 32.22
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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:
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name: BELEBELE-Indonesian
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type: BELEBELE-Indonesian
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metrics:
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+
- type: EM (3-Shot)
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value: 30.89
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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:
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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: 32.33
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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: 29.69
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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-0.5B
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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: 45.82
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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-0.5B
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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: 25.62
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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-0.5B
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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: 40.76
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sail/Sailor-0.5B
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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: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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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: 55.33
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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-0.5B
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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: GSM8k (5-shot)
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type: gsm8k
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config: main
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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: 1.06
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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-0.5B
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name: Open LLM Leaderboard
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---
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<div align="center">
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# Contact Us
|
312 |
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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).
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_sail__Sailor-0.5B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |33.05|
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|AI2 Reasoning Challenge (25-Shot)|29.69|
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|HellaSwag (10-Shot) |45.82|
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|MMLU (5-Shot) |25.62|
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|TruthfulQA (0-shot) |40.76|
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|Winogrande (5-shot) |55.33|
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|GSM8k (5-shot) | 1.06|
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