Hugging Face's logo

zelk12
/
MT1-gemma-2-9B

Text Generation
Transformers
Safetensors
gemma2
mergekit
Merge
conversational
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Community
1

Adding Evaluation Results

#1
by zelk12 - opened
base: refs/heads/main
←
from: refs/pr/1
Discussion Files changed
+112
-4
Files changed (1) hide show
  1. README.md +112 -4
README.md CHANGED
@@ -1,12 +1,106 @@
1
  ---
2
- base_model:
3
- - zelk12/MT1-GB-gemma-2-9B
4
- - zelk12/MT1-IMMMU-gemma-2-9B
5
  library_name: transformers
6
  tags:
7
  - mergekit
8
  - merge
9
-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10
  ---
11
  # merge
12
 
@@ -37,3 +131,17 @@ dtype: bfloat16
37
  parameters:
38
  t: 0.5
39
  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
 
 
 
2
  library_name: transformers
3
  tags:
4
  - mergekit
5
  - merge
6
+ base_model:
7
+ - zelk12/MT1-GB-gemma-2-9B
8
+ - zelk12/MT1-IMMMU-gemma-2-9B
9
+ model-index:
10
+ - name: MT1-gemma-2-9B
11
+ results:
12
+ - task:
13
+ type: text-generation
14
+ name: Text Generation
15
+ dataset:
16
+ name: IFEval (0-Shot)
17
+ type: HuggingFaceH4/ifeval
18
+ args:
19
+ num_few_shot: 0
20
+ metrics:
21
+ - type: inst_level_strict_acc and prompt_level_strict_acc
22
+ value: 79.47
23
+ name: strict accuracy
24
+ source:
25
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT1-gemma-2-9B
26
+ name: Open LLM Leaderboard
27
+ - task:
28
+ type: text-generation
29
+ name: Text Generation
30
+ dataset:
31
+ name: BBH (3-Shot)
32
+ type: BBH
33
+ args:
34
+ num_few_shot: 3
35
+ metrics:
36
+ - type: acc_norm
37
+ value: 44.16
38
+ name: normalized accuracy
39
+ source:
40
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT1-gemma-2-9B
41
+ name: Open LLM Leaderboard
42
+ - task:
43
+ type: text-generation
44
+ name: Text Generation
45
+ dataset:
46
+ name: MATH Lvl 5 (4-Shot)
47
+ type: hendrycks/competition_math
48
+ args:
49
+ num_few_shot: 4
50
+ metrics:
51
+ - type: exact_match
52
+ value: 13.37
53
+ name: exact match
54
+ source:
55
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT1-gemma-2-9B
56
+ name: Open LLM Leaderboard
57
+ - task:
58
+ type: text-generation
59
+ name: Text Generation
60
+ dataset:
61
+ name: GPQA (0-shot)
62
+ type: Idavidrein/gpqa
63
+ args:
64
+ num_few_shot: 0
65
+ metrics:
66
+ - type: acc_norm
67
+ value: 12.75
68
+ name: acc_norm
69
+ source:
70
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT1-gemma-2-9B
71
+ name: Open LLM Leaderboard
72
+ - task:
73
+ type: text-generation
74
+ name: Text Generation
75
+ dataset:
76
+ name: MuSR (0-shot)
77
+ type: TAUR-Lab/MuSR
78
+ args:
79
+ num_few_shot: 0
80
+ metrics:
81
+ - type: acc_norm
82
+ value: 13.16
83
+ name: acc_norm
84
+ source:
85
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT1-gemma-2-9B
86
+ name: Open LLM Leaderboard
87
+ - task:
88
+ type: text-generation
89
+ name: Text Generation
90
+ dataset:
91
+ name: MMLU-PRO (5-shot)
92
+ type: TIGER-Lab/MMLU-Pro
93
+ config: main
94
+ split: test
95
+ args:
96
+ num_few_shot: 5
97
+ metrics:
98
+ - type: acc
99
+ value: 37.31
100
+ name: accuracy
101
+ source:
102
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=zelk12/MT1-gemma-2-9B
103
+ name: Open LLM Leaderboard
104
  ---
105
  # merge
106
 
 
131
  parameters:
132
  t: 0.5
133
  ```
134
+
135
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
136
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_zelk12__MT1-gemma-2-9B)
137
+
138
+ | Metric |Value|
139
+ |-------------------|----:|
140
+ |Avg. |33.37|
141
+ |IFEval (0-Shot) |79.47|
142
+ |BBH (3-Shot) |44.16|
143
+ |MATH Lvl 5 (4-Shot)|13.37|
144
+ |GPQA (0-shot) |12.75|
145
+ |MuSR (0-shot) |13.16|
146
+ |MMLU-PRO (5-shot) |37.31|
147
+