Files changed (1) hide show
  1. README.md +119 -2
README.md CHANGED
@@ -1,9 +1,112 @@
1
  ---
2
- base_model: []
3
  tags:
4
  - mergekit
5
  - merge
6
- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
7
  ---
8
  This is a merge of pre-trained language models created based on DARE using [mergekit](https://github.com/cg123/mergekit).
9
 
@@ -32,3 +135,17 @@ inputs = tokenizer(text, return_tensors="pt")
32
  outputs = model.generate(**inputs, max_new_tokens=256)
33
  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
34
  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ license: apache-2.0
3
  tags:
4
  - mergekit
5
  - merge
6
+ base_model: []
7
+ model-index:
8
+ - name: supermario_v2
9
+ results:
10
+ - task:
11
+ type: text-generation
12
+ name: Text Generation
13
+ dataset:
14
+ name: AI2 Reasoning Challenge (25-Shot)
15
+ type: ai2_arc
16
+ config: ARC-Challenge
17
+ split: test
18
+ args:
19
+ num_few_shot: 25
20
+ metrics:
21
+ - type: acc_norm
22
+ value: 72.95
23
+ name: normalized accuracy
24
+ source:
25
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vanillaOVO/supermario_v2
26
+ name: Open LLM Leaderboard
27
+ - task:
28
+ type: text-generation
29
+ name: Text Generation
30
+ dataset:
31
+ name: HellaSwag (10-Shot)
32
+ type: hellaswag
33
+ split: validation
34
+ args:
35
+ num_few_shot: 10
36
+ metrics:
37
+ - type: acc_norm
38
+ value: 88.53
39
+ name: normalized accuracy
40
+ source:
41
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vanillaOVO/supermario_v2
42
+ name: Open LLM Leaderboard
43
+ - task:
44
+ type: text-generation
45
+ name: Text Generation
46
+ dataset:
47
+ name: MMLU (5-Shot)
48
+ type: cais/mmlu
49
+ config: all
50
+ split: test
51
+ args:
52
+ num_few_shot: 5
53
+ metrics:
54
+ - type: acc
55
+ value: 64.99
56
+ name: accuracy
57
+ source:
58
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vanillaOVO/supermario_v2
59
+ name: Open LLM Leaderboard
60
+ - task:
61
+ type: text-generation
62
+ name: Text Generation
63
+ dataset:
64
+ name: TruthfulQA (0-shot)
65
+ type: truthful_qa
66
+ config: multiple_choice
67
+ split: validation
68
+ args:
69
+ num_few_shot: 0
70
+ metrics:
71
+ - type: mc2
72
+ value: 71.22
73
+ source:
74
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vanillaOVO/supermario_v2
75
+ name: Open LLM Leaderboard
76
+ - task:
77
+ type: text-generation
78
+ name: Text Generation
79
+ dataset:
80
+ name: Winogrande (5-shot)
81
+ type: winogrande
82
+ config: winogrande_xl
83
+ split: validation
84
+ args:
85
+ num_few_shot: 5
86
+ metrics:
87
+ - type: acc
88
+ value: 83.9
89
+ name: accuracy
90
+ source:
91
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vanillaOVO/supermario_v2
92
+ name: Open LLM Leaderboard
93
+ - task:
94
+ type: text-generation
95
+ name: Text Generation
96
+ dataset:
97
+ name: GSM8k (5-shot)
98
+ type: gsm8k
99
+ config: main
100
+ split: test
101
+ args:
102
+ num_few_shot: 5
103
+ metrics:
104
+ - type: acc
105
+ value: 71.34
106
+ name: accuracy
107
+ source:
108
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=vanillaOVO/supermario_v2
109
+ name: Open LLM Leaderboard
110
  ---
111
  This is a merge of pre-trained language models created based on DARE using [mergekit](https://github.com/cg123/mergekit).
112
 
 
135
  outputs = model.generate(**inputs, max_new_tokens=256)
136
  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
137
  ```
138
+
139
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
140
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_vanillaOVO__supermario_v2)
141
+
142
+ | Metric |Value|
143
+ |---------------------------------|----:|
144
+ |Avg. |75.49|
145
+ |AI2 Reasoning Challenge (25-Shot)|72.95|
146
+ |HellaSwag (10-Shot) |88.53|
147
+ |MMLU (5-Shot) |64.99|
148
+ |TruthfulQA (0-shot) |71.22|
149
+ |Winogrande (5-shot) |83.90|
150
+ |GSM8k (5-shot) |71.34|
151
+