leaderboard-pr-bot commited on
Commit
1414808
1 Parent(s): ce1fb6a

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 +118 -2
README.md CHANGED
@@ -1,7 +1,110 @@
1
  ---
2
- license: apache-2.0
3
  language:
4
  - en
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5
  ---
6
  # Model Card
7
  SAM (Small Agentic Model), a 7B model that demonstrates impressive reasoning abilities despite its smaller size. SAM-7B has outperformed existing SoTA models on various reasoning benchmarks, including GSM8k and ARC-C.
@@ -67,4 +170,17 @@ The model is not suitable for conversations and simple Q&A, it performs better i
67
  It does not have any moderation mechanisms. Therefore, the model is not suitable for production usage as it doesn't have guardrails for toxicity, societal bias, and language limitations. We would love to collaborate with the community to build safer and better models.
68
 
69
  ## The SuperAGI AI Team
70
- Anmol Gautam, Arkajit Datta, Rajat Chawla, Ayush Vatsal, Sukrit Chatterjee, Adarsh Jha, Abhijeet Sinha, Rakesh Krishna, Adarsh Deep, Ishaan Bhola, Mukunda NS, Nishant Gaurav.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
 
2
  language:
3
  - en
4
+ license: apache-2.0
5
+ model-index:
6
+ - name: SAM
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: 59.39
21
+ name: normalized accuracy
22
+ source:
23
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SuperAGI/SAM
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: 82.31
37
+ name: normalized accuracy
38
+ source:
39
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SuperAGI/SAM
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: 62.15
54
+ name: accuracy
55
+ source:
56
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SuperAGI/SAM
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: 52.64
71
+ source:
72
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SuperAGI/SAM
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: 76.4
87
+ name: accuracy
88
+ source:
89
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SuperAGI/SAM
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: 22.9
104
+ name: accuracy
105
+ source:
106
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=SuperAGI/SAM
107
+ name: Open LLM Leaderboard
108
  ---
109
  # Model Card
110
  SAM (Small Agentic Model), a 7B model that demonstrates impressive reasoning abilities despite its smaller size. SAM-7B has outperformed existing SoTA models on various reasoning benchmarks, including GSM8k and ARC-C.
 
170
  It does not have any moderation mechanisms. Therefore, the model is not suitable for production usage as it doesn't have guardrails for toxicity, societal bias, and language limitations. We would love to collaborate with the community to build safer and better models.
171
 
172
  ## The SuperAGI AI Team
173
+ Anmol Gautam, Arkajit Datta, Rajat Chawla, Ayush Vatsal, Sukrit Chatterjee, Adarsh Jha, Abhijeet Sinha, Rakesh Krishna, Adarsh Deep, Ishaan Bhola, Mukunda NS, Nishant Gaurav.
174
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
175
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_SuperAGI__SAM)
176
+
177
+ | Metric |Value|
178
+ |---------------------------------|----:|
179
+ |Avg. |59.30|
180
+ |AI2 Reasoning Challenge (25-Shot)|59.39|
181
+ |HellaSwag (10-Shot) |82.31|
182
+ |MMLU (5-Shot) |62.15|
183
+ |TruthfulQA (0-shot) |52.64|
184
+ |Winogrande (5-shot) |76.40|
185
+ |GSM8k (5-shot) |22.90|
186
+