Commit
90d1dc0
1 Parent(s): d3e8342

Adding Evaluation Results (#1)

Browse files

- Adding Evaluation Results (f8073219890c4feae228a7cf435ce67cc92652ed)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

Files changed (1) hide show
  1. README.md +110 -1
README.md CHANGED
@@ -1,7 +1,102 @@
1
  ---
2
- license: apache-2.0
3
  language:
4
  - en
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5
  ---
6
 
7
  # Mistral7B-PairRM-SPPO-ExPO
@@ -48,3 +143,17 @@ Evaluation results on the **MT-Bench** benchmark (you can find the evaluation ou
48
  | `allenai/tulu-2-dpo-13b` | 7.00 | **7.26** |
49
  | `allenai/tulu-2-dpo-70b` | 7.79 | **8.03** |
50
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
 
2
  language:
3
  - en
4
+ license: apache-2.0
5
+ model-index:
6
+ - name: Mistral7B-PairRM-SPPO-ExPO
7
+ results:
8
+ - task:
9
+ type: text-generation
10
+ name: Text Generation
11
+ dataset:
12
+ name: IFEval (0-Shot)
13
+ type: HuggingFaceH4/ifeval
14
+ args:
15
+ num_few_shot: 0
16
+ metrics:
17
+ - type: inst_level_strict_acc and prompt_level_strict_acc
18
+ value: 36.73
19
+ name: strict accuracy
20
+ source:
21
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=chujiezheng/Mistral7B-PairRM-SPPO-ExPO
22
+ name: Open LLM Leaderboard
23
+ - task:
24
+ type: text-generation
25
+ name: Text Generation
26
+ dataset:
27
+ name: BBH (3-Shot)
28
+ type: BBH
29
+ args:
30
+ num_few_shot: 3
31
+ metrics:
32
+ - type: acc_norm
33
+ value: 13.68
34
+ name: normalized accuracy
35
+ source:
36
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=chujiezheng/Mistral7B-PairRM-SPPO-ExPO
37
+ name: Open LLM Leaderboard
38
+ - task:
39
+ type: text-generation
40
+ name: Text Generation
41
+ dataset:
42
+ name: MATH Lvl 5 (4-Shot)
43
+ type: hendrycks/competition_math
44
+ args:
45
+ num_few_shot: 4
46
+ metrics:
47
+ - type: exact_match
48
+ value: 0.91
49
+ name: exact match
50
+ source:
51
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=chujiezheng/Mistral7B-PairRM-SPPO-ExPO
52
+ name: Open LLM Leaderboard
53
+ - task:
54
+ type: text-generation
55
+ name: Text Generation
56
+ dataset:
57
+ name: GPQA (0-shot)
58
+ type: Idavidrein/gpqa
59
+ args:
60
+ num_few_shot: 0
61
+ metrics:
62
+ - type: acc_norm
63
+ value: 3.58
64
+ name: acc_norm
65
+ source:
66
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=chujiezheng/Mistral7B-PairRM-SPPO-ExPO
67
+ name: Open LLM Leaderboard
68
+ - task:
69
+ type: text-generation
70
+ name: Text Generation
71
+ dataset:
72
+ name: MuSR (0-shot)
73
+ type: TAUR-Lab/MuSR
74
+ args:
75
+ num_few_shot: 0
76
+ metrics:
77
+ - type: acc_norm
78
+ value: 8.66
79
+ name: acc_norm
80
+ source:
81
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=chujiezheng/Mistral7B-PairRM-SPPO-ExPO
82
+ name: Open LLM Leaderboard
83
+ - task:
84
+ type: text-generation
85
+ name: Text Generation
86
+ dataset:
87
+ name: MMLU-PRO (5-shot)
88
+ type: TIGER-Lab/MMLU-Pro
89
+ config: main
90
+ split: test
91
+ args:
92
+ num_few_shot: 5
93
+ metrics:
94
+ - type: acc
95
+ value: 17.24
96
+ name: accuracy
97
+ source:
98
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=chujiezheng/Mistral7B-PairRM-SPPO-ExPO
99
+ name: Open LLM Leaderboard
100
  ---
101
 
102
  # Mistral7B-PairRM-SPPO-ExPO
 
143
  | `allenai/tulu-2-dpo-13b` | 7.00 | **7.26** |
144
  | `allenai/tulu-2-dpo-70b` | 7.79 | **8.03** |
145
 
146
+
147
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
148
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_chujiezheng__Mistral7B-PairRM-SPPO-ExPO)
149
+
150
+ | Metric |Value|
151
+ |-------------------|----:|
152
+ |Avg. |13.47|
153
+ |IFEval (0-Shot) |36.73|
154
+ |BBH (3-Shot) |13.68|
155
+ |MATH Lvl 5 (4-Shot)| 0.91|
156
+ |GPQA (0-shot) | 3.58|
157
+ |MuSR (0-shot) | 8.66|
158
+ |MMLU-PRO (5-shot) |17.24|
159
+