leaderboard-pr-bot commited on
Commit
aeea9bf
1 Parent(s): 76246ca

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 +113 -5
README.md CHANGED
@@ -1,11 +1,106 @@
1
  ---
2
- license: llama3
3
- datasets:
4
- - arcee-ai/EvolKit-20k
5
  language:
6
  - en
7
- base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
8
  library_name: transformers
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
  ---
10
  <div align="center">
11
  <img src="https://i.ibb.co/r072p7j/eopi-ZVu-SQ0-G-Cav78-Byq-Tg.png" alt="Llama-3.1-SuperNova-Lite" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); max-width: 100%; height: auto;">
@@ -33,4 +128,17 @@ We will be submitting this model to the OpenLLM Leaderboard for a more conclusiv
33
  The script used for evaluation can be found inside this repository under /eval.sh, or click [here](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite/blob/main/eval.sh)
34
 
35
  # note
36
- This readme will be edited regularly on September 10, 2024 (the day of release). After the final readme is in place we will remove this note.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
 
 
 
2
  language:
3
  - en
4
+ license: llama3
5
  library_name: transformers
6
+ base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
7
+ datasets:
8
+ - arcee-ai/EvolKit-20k
9
+ model-index:
10
+ - name: Llama-3.1-SuperNova-Lite
11
+ results:
12
+ - task:
13
+ type: text-generation
14
+ name: Text Generation
15
+ dataset:
16
+ name: IFEval (0-Shot)
17
+ type: HuggingFaceH4/ifeval
18
+ args:
19
+ num_few_shot: 0
20
+ metrics:
21
+ - type: inst_level_strict_acc and prompt_level_strict_acc
22
+ value: 80.17
23
+ name: strict accuracy
24
+ source:
25
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=arcee-ai/Llama-3.1-SuperNova-Lite
26
+ name: Open LLM Leaderboard
27
+ - task:
28
+ type: text-generation
29
+ name: Text Generation
30
+ dataset:
31
+ name: BBH (3-Shot)
32
+ type: BBH
33
+ args:
34
+ num_few_shot: 3
35
+ metrics:
36
+ - type: acc_norm
37
+ value: 31.57
38
+ name: normalized accuracy
39
+ source:
40
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=arcee-ai/Llama-3.1-SuperNova-Lite
41
+ name: Open LLM Leaderboard
42
+ - task:
43
+ type: text-generation
44
+ name: Text Generation
45
+ dataset:
46
+ name: MATH Lvl 5 (4-Shot)
47
+ type: hendrycks/competition_math
48
+ args:
49
+ num_few_shot: 4
50
+ metrics:
51
+ - type: exact_match
52
+ value: 15.48
53
+ name: exact match
54
+ source:
55
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=arcee-ai/Llama-3.1-SuperNova-Lite
56
+ name: Open LLM Leaderboard
57
+ - task:
58
+ type: text-generation
59
+ name: Text Generation
60
+ dataset:
61
+ name: GPQA (0-shot)
62
+ type: Idavidrein/gpqa
63
+ args:
64
+ num_few_shot: 0
65
+ metrics:
66
+ - type: acc_norm
67
+ value: 7.49
68
+ name: acc_norm
69
+ source:
70
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=arcee-ai/Llama-3.1-SuperNova-Lite
71
+ name: Open LLM Leaderboard
72
+ - task:
73
+ type: text-generation
74
+ name: Text Generation
75
+ dataset:
76
+ name: MuSR (0-shot)
77
+ type: TAUR-Lab/MuSR
78
+ args:
79
+ num_few_shot: 0
80
+ metrics:
81
+ - type: acc_norm
82
+ value: 11.67
83
+ name: acc_norm
84
+ source:
85
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=arcee-ai/Llama-3.1-SuperNova-Lite
86
+ name: Open LLM Leaderboard
87
+ - task:
88
+ type: text-generation
89
+ name: Text Generation
90
+ dataset:
91
+ name: MMLU-PRO (5-shot)
92
+ type: TIGER-Lab/MMLU-Pro
93
+ config: main
94
+ split: test
95
+ args:
96
+ num_few_shot: 5
97
+ metrics:
98
+ - type: acc
99
+ value: 31.97
100
+ name: accuracy
101
+ source:
102
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=arcee-ai/Llama-3.1-SuperNova-Lite
103
+ name: Open LLM Leaderboard
104
  ---
105
  <div align="center">
106
  <img src="https://i.ibb.co/r072p7j/eopi-ZVu-SQ0-G-Cav78-Byq-Tg.png" alt="Llama-3.1-SuperNova-Lite" style="border-radius: 10px; box-shadow: 0 4px 8px 0 rgba(0, 0, 0, 0.2), 0 6px 20px 0 rgba(0, 0, 0, 0.19); max-width: 100%; height: auto;">
 
128
  The script used for evaluation can be found inside this repository under /eval.sh, or click [here](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite/blob/main/eval.sh)
129
 
130
  # note
131
+ This readme will be edited regularly on September 10, 2024 (the day of release). After the final readme is in place we will remove this note.
132
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
133
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_arcee-ai__Llama-3.1-SuperNova-Lite)
134
+
135
+ | Metric |Value|
136
+ |-------------------|----:|
137
+ |Avg. |29.73|
138
+ |IFEval (0-Shot) |80.17|
139
+ |BBH (3-Shot) |31.57|
140
+ |MATH Lvl 5 (4-Shot)|15.48|
141
+ |GPQA (0-shot) | 7.49|
142
+ |MuSR (0-shot) |11.67|
143
+ |MMLU-PRO (5-shot) |31.97|
144
+