leaderboard-pr-bot commited on
Commit
53f5ae5
1 Parent(s): 682f658

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 +120 -3
README.md CHANGED
@@ -1,11 +1,114 @@
1
  ---
2
- license: other
3
- datasets:
4
- - ehartford/wizard_vicuna_70k_unfiltered
5
  language:
6
  - en
 
7
  tags:
8
  - uncensored
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
  ---
10
 
11
  This is [wizard-vicuna-13b](https://huggingface.co/junelee/wizard-vicuna-13b) trained with a subset of the dataset - responses that contained alignment / moralizing were removed. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for example with a RLHF LoRA.
@@ -34,3 +137,17 @@ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-le
34
  | Winogrande (5-shot) | 75.69 |
35
  | GSM8K (5-shot) | 8.64 |
36
  | DROP (3-shot) | 21.79 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
 
 
 
2
  language:
3
  - en
4
+ license: other
5
  tags:
6
  - uncensored
7
+ datasets:
8
+ - ehartford/wizard_vicuna_70k_unfiltered
9
+ model-index:
10
+ - name: Wizard-Vicuna-13B-Uncensored
11
+ results:
12
+ - task:
13
+ type: text-generation
14
+ name: Text Generation
15
+ dataset:
16
+ name: AI2 Reasoning Challenge (25-Shot)
17
+ type: ai2_arc
18
+ config: ARC-Challenge
19
+ split: test
20
+ args:
21
+ num_few_shot: 25
22
+ metrics:
23
+ - type: acc_norm
24
+ value: 58.96
25
+ name: normalized accuracy
26
+ source:
27
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/Wizard-Vicuna-13B-Uncensored
28
+ name: Open LLM Leaderboard
29
+ - task:
30
+ type: text-generation
31
+ name: Text Generation
32
+ dataset:
33
+ name: HellaSwag (10-Shot)
34
+ type: hellaswag
35
+ split: validation
36
+ args:
37
+ num_few_shot: 10
38
+ metrics:
39
+ - type: acc_norm
40
+ value: 81.95
41
+ name: normalized accuracy
42
+ source:
43
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/Wizard-Vicuna-13B-Uncensored
44
+ name: Open LLM Leaderboard
45
+ - task:
46
+ type: text-generation
47
+ name: Text Generation
48
+ dataset:
49
+ name: MMLU (5-Shot)
50
+ type: cais/mmlu
51
+ config: all
52
+ split: test
53
+ args:
54
+ num_few_shot: 5
55
+ metrics:
56
+ - type: acc
57
+ value: 47.92
58
+ name: accuracy
59
+ source:
60
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/Wizard-Vicuna-13B-Uncensored
61
+ name: Open LLM Leaderboard
62
+ - task:
63
+ type: text-generation
64
+ name: Text Generation
65
+ dataset:
66
+ name: TruthfulQA (0-shot)
67
+ type: truthful_qa
68
+ config: multiple_choice
69
+ split: validation
70
+ args:
71
+ num_few_shot: 0
72
+ metrics:
73
+ - type: mc2
74
+ value: 51.69
75
+ source:
76
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/Wizard-Vicuna-13B-Uncensored
77
+ name: Open LLM Leaderboard
78
+ - task:
79
+ type: text-generation
80
+ name: Text Generation
81
+ dataset:
82
+ name: Winogrande (5-shot)
83
+ type: winogrande
84
+ config: winogrande_xl
85
+ split: validation
86
+ args:
87
+ num_few_shot: 5
88
+ metrics:
89
+ - type: acc
90
+ value: 75.69
91
+ name: accuracy
92
+ source:
93
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/Wizard-Vicuna-13B-Uncensored
94
+ name: Open LLM Leaderboard
95
+ - task:
96
+ type: text-generation
97
+ name: Text Generation
98
+ dataset:
99
+ name: GSM8k (5-shot)
100
+ type: gsm8k
101
+ config: main
102
+ split: test
103
+ args:
104
+ num_few_shot: 5
105
+ metrics:
106
+ - type: acc
107
+ value: 8.64
108
+ name: accuracy
109
+ source:
110
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ehartford/Wizard-Vicuna-13B-Uncensored
111
+ name: Open LLM Leaderboard
112
  ---
113
 
114
  This is [wizard-vicuna-13b](https://huggingface.co/junelee/wizard-vicuna-13b) trained with a subset of the dataset - responses that contained alignment / moralizing were removed. The intent is to train a WizardLM that doesn't have alignment built-in, so that alignment (of any sort) can be added separately with for example with a RLHF LoRA.
 
137
  | Winogrande (5-shot) | 75.69 |
138
  | GSM8K (5-shot) | 8.64 |
139
  | DROP (3-shot) | 21.79 |
140
+
141
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
142
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__Wizard-Vicuna-13B-Uncensored)
143
+
144
+ | Metric |Value|
145
+ |---------------------------------|----:|
146
+ |Avg. |54.14|
147
+ |AI2 Reasoning Challenge (25-Shot)|58.96|
148
+ |HellaSwag (10-Shot) |81.95|
149
+ |MMLU (5-Shot) |47.92|
150
+ |TruthfulQA (0-shot) |51.69|
151
+ |Winogrande (5-shot) |75.69|
152
+ |GSM8k (5-shot) | 8.64|
153
+