aqweteddy leaderboard-pr-bot commited on
Commit
df87c81
1 Parent(s): 969f748

Adding Evaluation Results (#1)

Browse files

- Adding Evaluation Results (76840a36598496a1d9d8078e104ab9dc41c82200)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

Files changed (1) hide show
  1. README.md +118 -2
README.md CHANGED
@@ -1,7 +1,110 @@
1
  ---
2
- license: mit
3
  language:
4
  - en
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5
  ---
6
 
7
  ## Chat Vector
@@ -18,4 +121,17 @@ With the advancements in conversational AI, such as ChatGPT, this paper focuses
18
  * mistral 7b
19
  * chat vector
20
  * neural-chat
21
- * marconroni
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
 
2
  language:
3
  - en
4
+ license: mit
5
+ model-index:
6
+ - name: mistral_tv-neural-marconroni
7
+ results:
8
+ - task:
9
+ type: text-generation
10
+ name: Text Generation
11
+ dataset:
12
+ name: AI2 Reasoning Challenge (25-Shot)
13
+ type: ai2_arc
14
+ config: ARC-Challenge
15
+ split: test
16
+ args:
17
+ num_few_shot: 25
18
+ metrics:
19
+ - type: acc_norm
20
+ value: 69.2
21
+ name: normalized accuracy
22
+ source:
23
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aqweteddy/mistral_tv-neural-marconroni
24
+ name: Open LLM Leaderboard
25
+ - task:
26
+ type: text-generation
27
+ name: Text Generation
28
+ dataset:
29
+ name: HellaSwag (10-Shot)
30
+ type: hellaswag
31
+ split: validation
32
+ args:
33
+ num_few_shot: 10
34
+ metrics:
35
+ - type: acc_norm
36
+ value: 86.26
37
+ name: normalized accuracy
38
+ source:
39
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aqweteddy/mistral_tv-neural-marconroni
40
+ name: Open LLM Leaderboard
41
+ - task:
42
+ type: text-generation
43
+ name: Text Generation
44
+ dataset:
45
+ name: MMLU (5-Shot)
46
+ type: cais/mmlu
47
+ config: all
48
+ split: test
49
+ args:
50
+ num_few_shot: 5
51
+ metrics:
52
+ - type: acc
53
+ value: 65.07
54
+ name: accuracy
55
+ source:
56
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aqweteddy/mistral_tv-neural-marconroni
57
+ name: Open LLM Leaderboard
58
+ - task:
59
+ type: text-generation
60
+ name: Text Generation
61
+ dataset:
62
+ name: TruthfulQA (0-shot)
63
+ type: truthful_qa
64
+ config: multiple_choice
65
+ split: validation
66
+ args:
67
+ num_few_shot: 0
68
+ metrics:
69
+ - type: mc2
70
+ value: 60.03
71
+ source:
72
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aqweteddy/mistral_tv-neural-marconroni
73
+ name: Open LLM Leaderboard
74
+ - task:
75
+ type: text-generation
76
+ name: Text Generation
77
+ dataset:
78
+ name: Winogrande (5-shot)
79
+ type: winogrande
80
+ config: winogrande_xl
81
+ split: validation
82
+ args:
83
+ num_few_shot: 5
84
+ metrics:
85
+ - type: acc
86
+ value: 80.9
87
+ name: accuracy
88
+ source:
89
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aqweteddy/mistral_tv-neural-marconroni
90
+ name: Open LLM Leaderboard
91
+ - task:
92
+ type: text-generation
93
+ name: Text Generation
94
+ dataset:
95
+ name: GSM8k (5-shot)
96
+ type: gsm8k
97
+ config: main
98
+ split: test
99
+ args:
100
+ num_few_shot: 5
101
+ metrics:
102
+ - type: acc
103
+ value: 66.19
104
+ name: accuracy
105
+ source:
106
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aqweteddy/mistral_tv-neural-marconroni
107
+ name: Open LLM Leaderboard
108
  ---
109
 
110
  ## Chat Vector
 
121
  * mistral 7b
122
  * chat vector
123
  * neural-chat
124
+ * marconroni
125
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
126
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_aqweteddy__mistral_tv-neural-marconroni)
127
+
128
+ | Metric |Value|
129
+ |---------------------------------|----:|
130
+ |Avg. |71.27|
131
+ |AI2 Reasoning Challenge (25-Shot)|69.20|
132
+ |HellaSwag (10-Shot) |86.26|
133
+ |MMLU (5-Shot) |65.07|
134
+ |TruthfulQA (0-shot) |60.03|
135
+ |Winogrande (5-shot) |80.90|
136
+ |GSM8k (5-shot) |66.19|
137
+