Files changed (1) hide show
  1. README.md +127 -10
README.md CHANGED
@@ -1,16 +1,119 @@
1
  ---
2
- license: apache-2.0
3
- datasets:
4
- - argilla/distilabel-intel-orca-dpo-pairs
5
  language:
6
- - en
 
7
  tags:
8
- - distilabel
9
- - dpo
10
- - rlaif
11
- - rlhf
12
- - merge
13
- - mergekit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
14
  ---
15
  # ⚗️ distilabeled Marcoro14 7B Slerp
16
 
@@ -75,3 +178,17 @@ We'd like to thank the amazing open community and in particular:
75
  * The Intel team for publishing a great open dataset and show how well it worked in the first place
76
  * Teknium and NousResearch for their awesome work and models.
77
  * Maxime for sharing such great resources.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
 
 
 
2
  language:
3
+ - en
4
+ license: apache-2.0
5
  tags:
6
+ - distilabel
7
+ - dpo
8
+ - rlaif
9
+ - rlhf
10
+ - merge
11
+ - mergekit
12
+ datasets:
13
+ - argilla/distilabel-intel-orca-dpo-pairs
14
+ model-index:
15
+ - name: distilabeled-Marcoro14-7B-slerp-full
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: 70.65
30
+ name: normalized accuracy
31
+ source:
32
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/distilabeled-Marcoro14-7B-slerp-full
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: 87.55
46
+ name: normalized accuracy
47
+ source:
48
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/distilabeled-Marcoro14-7B-slerp-full
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: 65.33
63
+ name: accuracy
64
+ source:
65
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/distilabeled-Marcoro14-7B-slerp-full
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: 64.21
80
+ source:
81
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/distilabeled-Marcoro14-7B-slerp-full
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: 82.0
96
+ name: accuracy
97
+ source:
98
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/distilabeled-Marcoro14-7B-slerp-full
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: 70.66
113
+ name: accuracy
114
+ source:
115
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=argilla/distilabeled-Marcoro14-7B-slerp-full
116
+ name: Open LLM Leaderboard
117
  ---
118
  # ⚗️ distilabeled Marcoro14 7B Slerp
119
 
 
178
  * The Intel team for publishing a great open dataset and show how well it worked in the first place
179
  * Teknium and NousResearch for their awesome work and models.
180
  * Maxime for sharing such great resources.
181
+
182
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
183
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_argilla__distilabeled-Marcoro14-7B-slerp-full)
184
+
185
+ | Metric |Value|
186
+ |---------------------------------|----:|
187
+ |Avg. |73.40|
188
+ |AI2 Reasoning Challenge (25-Shot)|70.65|
189
+ |HellaSwag (10-Shot) |87.55|
190
+ |MMLU (5-Shot) |65.33|
191
+ |TruthfulQA (0-shot) |64.21|
192
+ |Winogrande (5-shot) |82.00|
193
+ |GSM8k (5-shot) |70.66|
194
+