leaderboard-pr-bot commited on
Commit
bd38d11
1 Parent(s): aca3f0b

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 +109 -1
README.md CHANGED
@@ -5,6 +5,101 @@ tags:
5
  - mergekit
6
  - MTSAIR/MultiVerse_70B
7
  - davidkim205/Rhea-72b-v0.5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8
  ---
9
 
10
  # TW3-JRGL-v2
@@ -37,4 +132,17 @@ Le_Triomphant-ECE-TW3 is a merge of the following models using [mergekit](https:
37
  * [davidkim205/Rhea-72b-v0.5](https://huggingface.co/davidkim205/Rhea-72b-v0.5)
38
  * [MTSAIR/MultiVerse_70B](https://huggingface.co/MTSAIR/MultiVerse_70B)
39
 
40
- ## 🧩 Configuration
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5
  - mergekit
6
  - MTSAIR/MultiVerse_70B
7
  - davidkim205/Rhea-72b-v0.5
8
+ model-index:
9
+ - name: TW3-JRGL-v2
10
+ results:
11
+ - task:
12
+ type: text-generation
13
+ name: Text Generation
14
+ dataset:
15
+ name: IFEval (0-Shot)
16
+ type: HuggingFaceH4/ifeval
17
+ args:
18
+ num_few_shot: 0
19
+ metrics:
20
+ - type: inst_level_strict_acc and prompt_level_strict_acc
21
+ value: 3.1
22
+ name: strict accuracy
23
+ source:
24
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/TW3-JRGL-v2
25
+ name: Open LLM Leaderboard
26
+ - task:
27
+ type: text-generation
28
+ name: Text Generation
29
+ dataset:
30
+ name: BBH (3-Shot)
31
+ type: BBH
32
+ args:
33
+ num_few_shot: 3
34
+ metrics:
35
+ - type: acc_norm
36
+ value: 4.11
37
+ name: normalized accuracy
38
+ source:
39
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/TW3-JRGL-v2
40
+ name: Open LLM Leaderboard
41
+ - task:
42
+ type: text-generation
43
+ name: Text Generation
44
+ dataset:
45
+ name: MATH Lvl 5 (4-Shot)
46
+ type: hendrycks/competition_math
47
+ args:
48
+ num_few_shot: 4
49
+ metrics:
50
+ - type: exact_match
51
+ value: 5.21
52
+ name: exact match
53
+ source:
54
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/TW3-JRGL-v2
55
+ name: Open LLM Leaderboard
56
+ - task:
57
+ type: text-generation
58
+ name: Text Generation
59
+ dataset:
60
+ name: GPQA (0-shot)
61
+ type: Idavidrein/gpqa
62
+ args:
63
+ num_few_shot: 0
64
+ metrics:
65
+ - type: acc_norm
66
+ value: 0.78
67
+ name: acc_norm
68
+ source:
69
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/TW3-JRGL-v2
70
+ name: Open LLM Leaderboard
71
+ - task:
72
+ type: text-generation
73
+ name: Text Generation
74
+ dataset:
75
+ name: MuSR (0-shot)
76
+ type: TAUR-Lab/MuSR
77
+ args:
78
+ num_few_shot: 0
79
+ metrics:
80
+ - type: acc_norm
81
+ value: 12.38
82
+ name: acc_norm
83
+ source:
84
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/TW3-JRGL-v2
85
+ name: Open LLM Leaderboard
86
+ - task:
87
+ type: text-generation
88
+ name: Text Generation
89
+ dataset:
90
+ name: MMLU-PRO (5-shot)
91
+ type: TIGER-Lab/MMLU-Pro
92
+ config: main
93
+ split: test
94
+ args:
95
+ num_few_shot: 5
96
+ metrics:
97
+ - type: acc
98
+ value: 1.85
99
+ name: accuracy
100
+ source:
101
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/TW3-JRGL-v2
102
+ name: Open LLM Leaderboard
103
  ---
104
 
105
  # TW3-JRGL-v2
 
132
  * [davidkim205/Rhea-72b-v0.5](https://huggingface.co/davidkim205/Rhea-72b-v0.5)
133
  * [MTSAIR/MultiVerse_70B](https://huggingface.co/MTSAIR/MultiVerse_70B)
134
 
135
+ ## 🧩 Configuration
136
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
137
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_paloalma__TW3-JRGL-v2)
138
+
139
+ | Metric |Value|
140
+ |-------------------|----:|
141
+ |Avg. | 4.57|
142
+ |IFEval (0-Shot) | 3.10|
143
+ |BBH (3-Shot) | 4.11|
144
+ |MATH Lvl 5 (4-Shot)| 5.21|
145
+ |GPQA (0-shot) | 0.78|
146
+ |MuSR (0-shot) |12.38|
147
+ |MMLU-PRO (5-shot) | 1.85|
148
+