leaderboard-pr-bot commited on
Commit
080036b
1 Parent(s): 5c2d310

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 +110 -2
README.md CHANGED
@@ -1,9 +1,104 @@
1
  ---
 
2
  tags:
3
  - yi
4
  - moe
5
  - DPO
6
- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7
  ---
8
 
9
 
@@ -12,4 +107,17 @@ license: apache-2.0
12
 
13
  * [DPO Trainer](https://huggingface.co/docs/trl/main/en/dpo_trainer)
14
 
15
- * metrics not test!
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ license: apache-2.0
3
  tags:
4
  - yi
5
  - moe
6
  - DPO
7
+ model-index:
8
+ - name: Yi-34Bx2-MoE-60B-DPO
9
+ results:
10
+ - task:
11
+ type: text-generation
12
+ name: Text Generation
13
+ dataset:
14
+ name: IFEval (0-Shot)
15
+ type: HuggingFaceH4/ifeval
16
+ args:
17
+ num_few_shot: 0
18
+ metrics:
19
+ - type: inst_level_strict_acc and prompt_level_strict_acc
20
+ value: 53.19
21
+ name: strict accuracy
22
+ source:
23
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cloudyu/Yi-34Bx2-MoE-60B-DPO
24
+ name: Open LLM Leaderboard
25
+ - task:
26
+ type: text-generation
27
+ name: Text Generation
28
+ dataset:
29
+ name: BBH (3-Shot)
30
+ type: BBH
31
+ args:
32
+ num_few_shot: 3
33
+ metrics:
34
+ - type: acc_norm
35
+ value: 31.26
36
+ name: normalized accuracy
37
+ source:
38
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cloudyu/Yi-34Bx2-MoE-60B-DPO
39
+ name: Open LLM Leaderboard
40
+ - task:
41
+ type: text-generation
42
+ name: Text Generation
43
+ dataset:
44
+ name: MATH Lvl 5 (4-Shot)
45
+ type: hendrycks/competition_math
46
+ args:
47
+ num_few_shot: 4
48
+ metrics:
49
+ - type: exact_match
50
+ value: 6.19
51
+ name: exact match
52
+ source:
53
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cloudyu/Yi-34Bx2-MoE-60B-DPO
54
+ name: Open LLM Leaderboard
55
+ - task:
56
+ type: text-generation
57
+ name: Text Generation
58
+ dataset:
59
+ name: GPQA (0-shot)
60
+ type: Idavidrein/gpqa
61
+ args:
62
+ num_few_shot: 0
63
+ metrics:
64
+ - type: acc_norm
65
+ value: 9.62
66
+ name: acc_norm
67
+ source:
68
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cloudyu/Yi-34Bx2-MoE-60B-DPO
69
+ name: Open LLM Leaderboard
70
+ - task:
71
+ type: text-generation
72
+ name: Text Generation
73
+ dataset:
74
+ name: MuSR (0-shot)
75
+ type: TAUR-Lab/MuSR
76
+ args:
77
+ num_few_shot: 0
78
+ metrics:
79
+ - type: acc_norm
80
+ value: 14.32
81
+ name: acc_norm
82
+ source:
83
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cloudyu/Yi-34Bx2-MoE-60B-DPO
84
+ name: Open LLM Leaderboard
85
+ - task:
86
+ type: text-generation
87
+ name: Text Generation
88
+ dataset:
89
+ name: MMLU-PRO (5-shot)
90
+ type: TIGER-Lab/MMLU-Pro
91
+ config: main
92
+ split: test
93
+ args:
94
+ num_few_shot: 5
95
+ metrics:
96
+ - type: acc
97
+ value: 40.85
98
+ name: accuracy
99
+ source:
100
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=cloudyu/Yi-34Bx2-MoE-60B-DPO
101
+ name: Open LLM Leaderboard
102
  ---
103
 
104
 
 
107
 
108
  * [DPO Trainer](https://huggingface.co/docs/trl/main/en/dpo_trainer)
109
 
110
+ * metrics not test!
111
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
112
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_cloudyu__Yi-34Bx2-MoE-60B-DPO)
113
+
114
+ | Metric |Value|
115
+ |-------------------|----:|
116
+ |Avg. |25.91|
117
+ |IFEval (0-Shot) |53.19|
118
+ |BBH (3-Shot) |31.26|
119
+ |MATH Lvl 5 (4-Shot)| 6.19|
120
+ |GPQA (0-shot) | 9.62|
121
+ |MuSR (0-shot) |14.32|
122
+ |MMLU-PRO (5-shot) |40.85|
123
+