leaderboard-pr-bot
commited on
Commit
•
18d9288
1
Parent(s):
c9c5826
Adding Evaluation Results
Browse filesThis 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
README.md
CHANGED
@@ -1,25 +1,120 @@
|
|
1 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2 |
license: other
|
3 |
-
|
4 |
-
|
5 |
base_model: Qwen/Qwen2-72B-Instruct
|
6 |
datasets:
|
7 |
-
|
8 |
-
|
9 |
-
|
10 |
-
|
11 |
-
|
12 |
-
- fr
|
13 |
-
- de
|
14 |
-
- es
|
15 |
-
- it
|
16 |
-
- pt
|
17 |
-
- ru
|
18 |
-
- zh
|
19 |
-
- ja
|
20 |
pipeline_tag: text-generation
|
21 |
-
|
22 |
-
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
23 |
---
|
24 |
|
25 |
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6491e00e057b0928b3e07b75/u8B-5bEeroN549uxUIisV.png)
|
@@ -58,4 +153,17 @@ Sample Packing was done for 16k tokens rather than the 8k tokens used in our pre
|
|
58 |
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
|
59 |
|
60 |
## Safety
|
61 |
-
...
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
- fr
|
5 |
+
- de
|
6 |
+
- es
|
7 |
+
- it
|
8 |
+
- pt
|
9 |
+
- ru
|
10 |
+
- zh
|
11 |
+
- ja
|
12 |
license: other
|
13 |
+
tags:
|
14 |
+
- chat
|
15 |
base_model: Qwen/Qwen2-72B-Instruct
|
16 |
datasets:
|
17 |
+
- Doctor-Shotgun/C2-Stheno
|
18 |
+
- anthracite-org/kalo-opus-instruct-22k-no-refusal
|
19 |
+
- anthracite-org/nopm_claude_writing_fixed
|
20 |
+
license_name: tongyi-qianwen
|
21 |
+
license_link: https://huggingface.co/anthracite-org/magnum-v2-72b/blob/main/LICENSE
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
22 |
pipeline_tag: text-generation
|
23 |
+
model-index:
|
24 |
+
- name: magnum-v2-72b
|
25 |
+
results:
|
26 |
+
- task:
|
27 |
+
type: text-generation
|
28 |
+
name: Text Generation
|
29 |
+
dataset:
|
30 |
+
name: IFEval (0-Shot)
|
31 |
+
type: HuggingFaceH4/ifeval
|
32 |
+
args:
|
33 |
+
num_few_shot: 0
|
34 |
+
metrics:
|
35 |
+
- type: inst_level_strict_acc and prompt_level_strict_acc
|
36 |
+
value: 75.6
|
37 |
+
name: strict accuracy
|
38 |
+
source:
|
39 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v2-72b
|
40 |
+
name: Open LLM Leaderboard
|
41 |
+
- task:
|
42 |
+
type: text-generation
|
43 |
+
name: Text Generation
|
44 |
+
dataset:
|
45 |
+
name: BBH (3-Shot)
|
46 |
+
type: BBH
|
47 |
+
args:
|
48 |
+
num_few_shot: 3
|
49 |
+
metrics:
|
50 |
+
- type: acc_norm
|
51 |
+
value: 57.85
|
52 |
+
name: normalized accuracy
|
53 |
+
source:
|
54 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v2-72b
|
55 |
+
name: Open LLM Leaderboard
|
56 |
+
- task:
|
57 |
+
type: text-generation
|
58 |
+
name: Text Generation
|
59 |
+
dataset:
|
60 |
+
name: MATH Lvl 5 (4-Shot)
|
61 |
+
type: hendrycks/competition_math
|
62 |
+
args:
|
63 |
+
num_few_shot: 4
|
64 |
+
metrics:
|
65 |
+
- type: exact_match
|
66 |
+
value: 31.65
|
67 |
+
name: exact match
|
68 |
+
source:
|
69 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v2-72b
|
70 |
+
name: Open LLM Leaderboard
|
71 |
+
- task:
|
72 |
+
type: text-generation
|
73 |
+
name: Text Generation
|
74 |
+
dataset:
|
75 |
+
name: GPQA (0-shot)
|
76 |
+
type: Idavidrein/gpqa
|
77 |
+
args:
|
78 |
+
num_few_shot: 0
|
79 |
+
metrics:
|
80 |
+
- type: acc_norm
|
81 |
+
value: 18.12
|
82 |
+
name: acc_norm
|
83 |
+
source:
|
84 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v2-72b
|
85 |
+
name: Open LLM Leaderboard
|
86 |
+
- task:
|
87 |
+
type: text-generation
|
88 |
+
name: Text Generation
|
89 |
+
dataset:
|
90 |
+
name: MuSR (0-shot)
|
91 |
+
type: TAUR-Lab/MuSR
|
92 |
+
args:
|
93 |
+
num_few_shot: 0
|
94 |
+
metrics:
|
95 |
+
- type: acc_norm
|
96 |
+
value: 14.18
|
97 |
+
name: acc_norm
|
98 |
+
source:
|
99 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v2-72b
|
100 |
+
name: Open LLM Leaderboard
|
101 |
+
- task:
|
102 |
+
type: text-generation
|
103 |
+
name: Text Generation
|
104 |
+
dataset:
|
105 |
+
name: MMLU-PRO (5-shot)
|
106 |
+
type: TIGER-Lab/MMLU-Pro
|
107 |
+
config: main
|
108 |
+
split: test
|
109 |
+
args:
|
110 |
+
num_few_shot: 5
|
111 |
+
metrics:
|
112 |
+
- type: acc
|
113 |
+
value: 49.51
|
114 |
+
name: accuracy
|
115 |
+
source:
|
116 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=anthracite-org/magnum-v2-72b
|
117 |
+
name: Open LLM Leaderboard
|
118 |
---
|
119 |
|
120 |
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6491e00e057b0928b3e07b75/u8B-5bEeroN549uxUIisV.png)
|
|
|
153 |
[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
|
154 |
|
155 |
## Safety
|
156 |
+
...
|
157 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
|
158 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_anthracite-org__magnum-v2-72b)
|
159 |
+
|
160 |
+
| Metric |Value|
|
161 |
+
|-------------------|----:|
|
162 |
+
|Avg. |41.15|
|
163 |
+
|IFEval (0-Shot) |75.60|
|
164 |
+
|BBH (3-Shot) |57.85|
|
165 |
+
|MATH Lvl 5 (4-Shot)|31.65|
|
166 |
+
|GPQA (0-shot) |18.12|
|
167 |
+
|MuSR (0-shot) |14.18|
|
168 |
+
|MMLU-PRO (5-shot) |49.51|
|
169 |
+
|