ibivibiv leaderboard-pr-bot commited on
Commit
6843611
1 Parent(s): 6ee0b7c

Adding Evaluation Results (#1)

Browse files

- Adding Evaluation Results (9d866be630c50f2a3ad130ea1351b54b700f266b)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

Files changed (1) hide show
  1. README.md +120 -4
README.md CHANGED
@@ -1,10 +1,113 @@
1
  ---
 
 
 
2
  library_name: transformers
3
  tags:
4
  - moe
5
- license: apache-2.0
6
- language:
7
- - en
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8
  ---
9
 
10
  # Model Card for Model ID
@@ -200,4 +303,17 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
200
 
201
  ## Model Card Contact
202
 
203
- [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ language:
3
+ - en
4
+ license: apache-2.0
5
  library_name: transformers
6
  tags:
7
  - moe
8
+ model-index:
9
+ - name: multimaster-7b-v3
10
+ results:
11
+ - task:
12
+ type: text-generation
13
+ name: Text Generation
14
+ dataset:
15
+ name: AI2 Reasoning Challenge (25-Shot)
16
+ type: ai2_arc
17
+ config: ARC-Challenge
18
+ split: test
19
+ args:
20
+ num_few_shot: 25
21
+ metrics:
22
+ - type: acc_norm
23
+ value: 70.39
24
+ name: normalized accuracy
25
+ source:
26
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibivibiv/multimaster-7b-v3
27
+ name: Open LLM Leaderboard
28
+ - task:
29
+ type: text-generation
30
+ name: Text Generation
31
+ dataset:
32
+ name: HellaSwag (10-Shot)
33
+ type: hellaswag
34
+ split: validation
35
+ args:
36
+ num_few_shot: 10
37
+ metrics:
38
+ - type: acc_norm
39
+ value: 87.65
40
+ name: normalized accuracy
41
+ source:
42
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibivibiv/multimaster-7b-v3
43
+ name: Open LLM Leaderboard
44
+ - task:
45
+ type: text-generation
46
+ name: Text Generation
47
+ dataset:
48
+ name: MMLU (5-Shot)
49
+ type: cais/mmlu
50
+ config: all
51
+ split: test
52
+ args:
53
+ num_few_shot: 5
54
+ metrics:
55
+ - type: acc
56
+ value: 65.07
57
+ name: accuracy
58
+ source:
59
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibivibiv/multimaster-7b-v3
60
+ name: Open LLM Leaderboard
61
+ - task:
62
+ type: text-generation
63
+ name: Text Generation
64
+ dataset:
65
+ name: TruthfulQA (0-shot)
66
+ type: truthful_qa
67
+ config: multiple_choice
68
+ split: validation
69
+ args:
70
+ num_few_shot: 0
71
+ metrics:
72
+ - type: mc2
73
+ value: 59.7
74
+ source:
75
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibivibiv/multimaster-7b-v3
76
+ name: Open LLM Leaderboard
77
+ - task:
78
+ type: text-generation
79
+ name: Text Generation
80
+ dataset:
81
+ name: Winogrande (5-shot)
82
+ type: winogrande
83
+ config: winogrande_xl
84
+ split: validation
85
+ args:
86
+ num_few_shot: 5
87
+ metrics:
88
+ - type: acc
89
+ value: 84.06
90
+ name: accuracy
91
+ source:
92
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibivibiv/multimaster-7b-v3
93
+ name: Open LLM Leaderboard
94
+ - task:
95
+ type: text-generation
96
+ name: Text Generation
97
+ dataset:
98
+ name: GSM8k (5-shot)
99
+ type: gsm8k
100
+ config: main
101
+ split: test
102
+ args:
103
+ num_few_shot: 5
104
+ metrics:
105
+ - type: acc
106
+ value: 71.57
107
+ name: accuracy
108
+ source:
109
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ibivibiv/multimaster-7b-v3
110
+ name: Open LLM Leaderboard
111
  ---
112
 
113
  # Model Card for Model ID
 
303
 
304
  ## Model Card Contact
305
 
306
+ [More Information Needed]
307
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
308
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ibivibiv__multimaster-7b-v3)
309
+
310
+ | Metric |Value|
311
+ |---------------------------------|----:|
312
+ |Avg. |73.07|
313
+ |AI2 Reasoning Challenge (25-Shot)|70.39|
314
+ |HellaSwag (10-Shot) |87.65|
315
+ |MMLU (5-Shot) |65.07|
316
+ |TruthfulQA (0-shot) |59.70|
317
+ |Winogrande (5-shot) |84.06|
318
+ |GSM8k (5-shot) |71.57|
319
+