djuna commited on
Commit
d06cc2e
1 Parent(s): db20da9

Adding Evaluation Results (#2)

Browse files

- Adding Evaluation Results (335ba8faeb0222299d79fe4c15151291852dd002)

Files changed (1) hide show
  1. README.md +113 -5
README.md CHANGED
@@ -1,15 +1,109 @@
1
  ---
 
 
 
 
2
  base_model:
3
  - arcee-ai/SuperNova-Medius
4
  - huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
5
  - allura-org/TQ2.5-14B-Aletheia-v1
6
  - EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
7
  - v000000/Qwen2.5-Lumen-14B
8
- library_name: transformers
9
- tags:
10
- - mergekit
11
- - merge
12
-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
13
  ---
14
  # merge
15
 
@@ -65,3 +159,17 @@ models:
65
  density: 0.45
66
 
67
  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ library_name: transformers
3
+ tags:
4
+ - mergekit
5
+ - merge
6
  base_model:
7
  - arcee-ai/SuperNova-Medius
8
  - huihui-ai/Qwen2.5-14B-Instruct-abliterated-v2
9
  - allura-org/TQ2.5-14B-Aletheia-v1
10
  - EVA-UNIT-01/EVA-Qwen2.5-14B-v0.2
11
  - v000000/Qwen2.5-Lumen-14B
12
+ model-index:
13
+ - name: Q2.5-Veltha-14B-0.5
14
+ results:
15
+ - task:
16
+ type: text-generation
17
+ name: Text Generation
18
+ dataset:
19
+ name: IFEval (0-Shot)
20
+ type: HuggingFaceH4/ifeval
21
+ args:
22
+ num_few_shot: 0
23
+ metrics:
24
+ - type: inst_level_strict_acc and prompt_level_strict_acc
25
+ value: 77.96
26
+ name: strict accuracy
27
+ source:
28
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Veltha-14B-0.5
29
+ name: Open LLM Leaderboard
30
+ - task:
31
+ type: text-generation
32
+ name: Text Generation
33
+ dataset:
34
+ name: BBH (3-Shot)
35
+ type: BBH
36
+ args:
37
+ num_few_shot: 3
38
+ metrics:
39
+ - type: acc_norm
40
+ value: 50.32
41
+ name: normalized accuracy
42
+ source:
43
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Veltha-14B-0.5
44
+ name: Open LLM Leaderboard
45
+ - task:
46
+ type: text-generation
47
+ name: Text Generation
48
+ dataset:
49
+ name: MATH Lvl 5 (4-Shot)
50
+ type: hendrycks/competition_math
51
+ args:
52
+ num_few_shot: 4
53
+ metrics:
54
+ - type: exact_match
55
+ value: 33.84
56
+ name: exact match
57
+ source:
58
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Veltha-14B-0.5
59
+ name: Open LLM Leaderboard
60
+ - task:
61
+ type: text-generation
62
+ name: Text Generation
63
+ dataset:
64
+ name: GPQA (0-shot)
65
+ type: Idavidrein/gpqa
66
+ args:
67
+ num_few_shot: 0
68
+ metrics:
69
+ - type: acc_norm
70
+ value: 15.77
71
+ name: acc_norm
72
+ source:
73
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Veltha-14B-0.5
74
+ name: Open LLM Leaderboard
75
+ - task:
76
+ type: text-generation
77
+ name: Text Generation
78
+ dataset:
79
+ name: MuSR (0-shot)
80
+ type: TAUR-Lab/MuSR
81
+ args:
82
+ num_few_shot: 0
83
+ metrics:
84
+ - type: acc_norm
85
+ value: 14.17
86
+ name: acc_norm
87
+ source:
88
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Veltha-14B-0.5
89
+ name: Open LLM Leaderboard
90
+ - task:
91
+ type: text-generation
92
+ name: Text Generation
93
+ dataset:
94
+ name: MMLU-PRO (5-shot)
95
+ type: TIGER-Lab/MMLU-Pro
96
+ config: main
97
+ split: test
98
+ args:
99
+ num_few_shot: 5
100
+ metrics:
101
+ - type: acc
102
+ value: 47.72
103
+ name: accuracy
104
+ source:
105
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=djuna/Q2.5-Veltha-14B-0.5
106
+ name: Open LLM Leaderboard
107
  ---
108
  # merge
109
 
 
159
  density: 0.45
160
 
161
  ```
162
+
163
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
164
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/djuna__Q2.5-Veltha-14B-0.5-details)
165
+
166
+ | Metric |Value|
167
+ |-------------------|----:|
168
+ |Avg. |39.96|
169
+ |IFEval (0-Shot) |77.96|
170
+ |BBH (3-Shot) |50.32|
171
+ |MATH Lvl 5 (4-Shot)|33.84|
172
+ |GPQA (0-shot) |15.77|
173
+ |MuSR (0-shot) |14.17|
174
+ |MMLU-PRO (5-shot) |47.72|
175
+