leaderboard-pr-bot commited on
Commit
0f1220f
1 Parent(s): 9f13a48

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 +121 -5
README.md CHANGED
@@ -1,16 +1,119 @@
1
  ---
2
- license: apache-2.0
3
- datasets:
4
- - argilla/OpenHermes2.5-dpo-binarized-alpha
5
  language:
6
  - en
7
- pipeline_tag: text-generation
8
  tags:
9
  - merge
10
  - dpo
11
  - conversation
12
  - text-generation-inference
13
  - Kukedlc/NeuTrixOmniBe-7B-model-remix
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
14
  ---
15
 
16
  DPO Finetuned Kukedlc/NeuTrixOmniBe-7B-model-remix using argilla/OpenHermes2.5-dpo-binarized-alpha
@@ -19,4 +122,17 @@ argilla dpo binarized pairs is a dataset built on top of: https://huggingface.co
19
 
20
  Thx for the great data sources.
21
 
22
- GGUF: https://huggingface.co/eren23/dpo-binarized-NeutrixOmnibe-7B-GGUF
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
 
 
 
2
  language:
3
  - en
4
+ license: apache-2.0
5
  tags:
6
  - merge
7
  - dpo
8
  - conversation
9
  - text-generation-inference
10
  - Kukedlc/NeuTrixOmniBe-7B-model-remix
11
+ datasets:
12
+ - argilla/OpenHermes2.5-dpo-binarized-alpha
13
+ pipeline_tag: text-generation
14
+ model-index:
15
+ - name: dpo-binarized-NeutrixOmnibe-7B
16
+ results:
17
+ - task:
18
+ type: text-generation
19
+ name: Text Generation
20
+ dataset:
21
+ name: AI2 Reasoning Challenge (25-Shot)
22
+ type: ai2_arc
23
+ config: ARC-Challenge
24
+ split: test
25
+ args:
26
+ num_few_shot: 25
27
+ metrics:
28
+ - type: acc_norm
29
+ value: 72.78
30
+ name: normalized accuracy
31
+ source:
32
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/dpo-binarized-NeutrixOmnibe-7B
33
+ name: Open LLM Leaderboard
34
+ - task:
35
+ type: text-generation
36
+ name: Text Generation
37
+ dataset:
38
+ name: HellaSwag (10-Shot)
39
+ type: hellaswag
40
+ split: validation
41
+ args:
42
+ num_few_shot: 10
43
+ metrics:
44
+ - type: acc_norm
45
+ value: 89.05
46
+ name: normalized accuracy
47
+ source:
48
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/dpo-binarized-NeutrixOmnibe-7B
49
+ name: Open LLM Leaderboard
50
+ - task:
51
+ type: text-generation
52
+ name: Text Generation
53
+ dataset:
54
+ name: MMLU (5-Shot)
55
+ type: cais/mmlu
56
+ config: all
57
+ split: test
58
+ args:
59
+ num_few_shot: 5
60
+ metrics:
61
+ - type: acc
62
+ value: 64.6
63
+ name: accuracy
64
+ source:
65
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/dpo-binarized-NeutrixOmnibe-7B
66
+ name: Open LLM Leaderboard
67
+ - task:
68
+ type: text-generation
69
+ name: Text Generation
70
+ dataset:
71
+ name: TruthfulQA (0-shot)
72
+ type: truthful_qa
73
+ config: multiple_choice
74
+ split: validation
75
+ args:
76
+ num_few_shot: 0
77
+ metrics:
78
+ - type: mc2
79
+ value: 76.9
80
+ source:
81
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/dpo-binarized-NeutrixOmnibe-7B
82
+ name: Open LLM Leaderboard
83
+ - task:
84
+ type: text-generation
85
+ name: Text Generation
86
+ dataset:
87
+ name: Winogrande (5-shot)
88
+ type: winogrande
89
+ config: winogrande_xl
90
+ split: validation
91
+ args:
92
+ num_few_shot: 5
93
+ metrics:
94
+ - type: acc
95
+ value: 85.08
96
+ name: accuracy
97
+ source:
98
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/dpo-binarized-NeutrixOmnibe-7B
99
+ name: Open LLM Leaderboard
100
+ - task:
101
+ type: text-generation
102
+ name: Text Generation
103
+ dataset:
104
+ name: GSM8k (5-shot)
105
+ type: gsm8k
106
+ config: main
107
+ split: test
108
+ args:
109
+ num_few_shot: 5
110
+ metrics:
111
+ - type: acc
112
+ value: 69.45
113
+ name: accuracy
114
+ source:
115
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/dpo-binarized-NeutrixOmnibe-7B
116
+ name: Open LLM Leaderboard
117
  ---
118
 
119
  DPO Finetuned Kukedlc/NeuTrixOmniBe-7B-model-remix using argilla/OpenHermes2.5-dpo-binarized-alpha
 
122
 
123
  Thx for the great data sources.
124
 
125
+ GGUF: https://huggingface.co/eren23/dpo-binarized-NeutrixOmnibe-7B-GGUF
126
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
127
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_eren23__dpo-binarized-NeutrixOmnibe-7B)
128
+
129
+ | Metric |Value|
130
+ |---------------------------------|----:|
131
+ |Avg. |76.31|
132
+ |AI2 Reasoning Challenge (25-Shot)|72.78|
133
+ |HellaSwag (10-Shot) |89.05|
134
+ |MMLU (5-Shot) |64.60|
135
+ |TruthfulQA (0-shot) |76.90|
136
+ |Winogrande (5-shot) |85.08|
137
+ |GSM8k (5-shot) |69.45|
138
+