leaderboard-pr-bot commited on
Commit
0a070cb
1 Parent(s): c738ee4

Adding Evaluation Results

Browse files

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.

If you encounter any issues, please report them to https://huggingface.co/spaces/Weyaxi/open-llm-leaderboard-results-pr/discussions

Files changed (1) hide show
  1. README.md +120 -5
README.md CHANGED
@@ -1,8 +1,110 @@
1
  ---
2
- language: "en" # Example: en
3
- license: "apache-2.0" #"cc-by-4.0" # Example: apache-2.0 or any license from https://hf.co/docs/hub/repositories-licenses
4
- library_name: "transformers" # Optional. Example: keras or any library from https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Libraries.ts
5
-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6
  ---
7
 
8
  This is the Digital Socrates 13B (DS-13B) model described in our paper: <b>Digital Socrates: Evaluating LLMs through explanation critiques</b> (arXiv link: https://arxiv.org/abs/2311.09613).
@@ -123,4 +225,17 @@ Explanation score: 2
123
  # More details about Digital Socrates ...
124
  For more details about Digital Socrates, please refer to our:
125
  * 📄Paper: https://arxiv.org/abs/2311.09613
126
- * 💻Dataset: https://allenai.org/data/digital-socrates
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ language: en
3
+ license: apache-2.0
4
+ library_name: transformers
5
+ model-index:
6
+ - name: digital-socrates-13b
7
+ results:
8
+ - task:
9
+ type: text-generation
10
+ name: Text Generation
11
+ dataset:
12
+ name: AI2 Reasoning Challenge (25-Shot)
13
+ type: ai2_arc
14
+ config: ARC-Challenge
15
+ split: test
16
+ args:
17
+ num_few_shot: 25
18
+ metrics:
19
+ - type: acc_norm
20
+ value: 58.36
21
+ name: normalized accuracy
22
+ source:
23
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=allenai/digital-socrates-13b
24
+ name: Open LLM Leaderboard
25
+ - task:
26
+ type: text-generation
27
+ name: Text Generation
28
+ dataset:
29
+ name: HellaSwag (10-Shot)
30
+ type: hellaswag
31
+ split: validation
32
+ args:
33
+ num_few_shot: 10
34
+ metrics:
35
+ - type: acc_norm
36
+ value: 80.14
37
+ name: normalized accuracy
38
+ source:
39
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=allenai/digital-socrates-13b
40
+ name: Open LLM Leaderboard
41
+ - task:
42
+ type: text-generation
43
+ name: Text Generation
44
+ dataset:
45
+ name: MMLU (5-Shot)
46
+ type: cais/mmlu
47
+ config: all
48
+ split: test
49
+ args:
50
+ num_few_shot: 5
51
+ metrics:
52
+ - type: acc
53
+ value: 57.01
54
+ name: accuracy
55
+ source:
56
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=allenai/digital-socrates-13b
57
+ name: Open LLM Leaderboard
58
+ - task:
59
+ type: text-generation
60
+ name: Text Generation
61
+ dataset:
62
+ name: TruthfulQA (0-shot)
63
+ type: truthful_qa
64
+ config: multiple_choice
65
+ split: validation
66
+ args:
67
+ num_few_shot: 0
68
+ metrics:
69
+ - type: mc2
70
+ value: 44.47
71
+ source:
72
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=allenai/digital-socrates-13b
73
+ name: Open LLM Leaderboard
74
+ - task:
75
+ type: text-generation
76
+ name: Text Generation
77
+ dataset:
78
+ name: Winogrande (5-shot)
79
+ type: winogrande
80
+ config: winogrande_xl
81
+ split: validation
82
+ args:
83
+ num_few_shot: 5
84
+ metrics:
85
+ - type: acc
86
+ value: 74.59
87
+ name: accuracy
88
+ source:
89
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=allenai/digital-socrates-13b
90
+ name: Open LLM Leaderboard
91
+ - task:
92
+ type: text-generation
93
+ name: Text Generation
94
+ dataset:
95
+ name: GSM8k (5-shot)
96
+ type: gsm8k
97
+ config: main
98
+ split: test
99
+ args:
100
+ num_few_shot: 5
101
+ metrics:
102
+ - type: acc
103
+ value: 29.49
104
+ name: accuracy
105
+ source:
106
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=allenai/digital-socrates-13b
107
+ name: Open LLM Leaderboard
108
  ---
109
 
110
  This is the Digital Socrates 13B (DS-13B) model described in our paper: <b>Digital Socrates: Evaluating LLMs through explanation critiques</b> (arXiv link: https://arxiv.org/abs/2311.09613).
 
225
  # More details about Digital Socrates ...
226
  For more details about Digital Socrates, please refer to our:
227
  * 📄Paper: https://arxiv.org/abs/2311.09613
228
+ * 💻Dataset: https://allenai.org/data/digital-socrates
229
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
230
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_allenai__digital-socrates-13b)
231
+
232
+ | Metric |Value|
233
+ |---------------------------------|----:|
234
+ |Avg. |57.34|
235
+ |AI2 Reasoning Challenge (25-Shot)|58.36|
236
+ |HellaSwag (10-Shot) |80.14|
237
+ |MMLU (5-Shot) |57.01|
238
+ |TruthfulQA (0-shot) |44.47|
239
+ |Winogrande (5-shot) |74.59|
240
+ |GSM8k (5-shot) |29.49|
241
+