Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
@@ -1,8 +1,7 @@
|
|
1 |
---
|
2 |
-
|
3 |
-
-
|
4 |
-
|
5 |
-
- arcee-ai/Llama-3.1-SuperNova-Lite
|
6 |
tags:
|
7 |
- merge
|
8 |
- mergekit
|
@@ -10,10 +9,106 @@ tags:
|
|
10 |
- yuvraj17/Llama-3-8B-spectrum-25
|
11 |
- ruggsea/Llama3-stanford-encyclopedia-philosophy-QA
|
12 |
- arcee-ai/Llama-3.1-SuperNova-Lite
|
13 |
-
|
14 |
-
|
15 |
-
-
|
|
|
16 |
pipeline_tag: text-generation
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
17 |
---
|
18 |
|
19 |
# Llama3-8B-SuperNova-Spectrum-dare_ties
|
@@ -180,4 +275,17 @@ Average: 43.91%
|
|
180 |
|
181 |
## Special thanks & Reference
|
182 |
- Maxime Labonne for their easy-to-use colab-notebook [Merging LLMs with MergeKit](https://github.com/mlabonne/llm-course/blob/main/Mergekit.ipynb), [Blog](https://towardsdatascience.com/merge-large-language-models-with-mergekit-2118fb392b54) and [LLM-AutoEva Notebookl](https://github.com/mlabonne/llm-autoeval)
|
183 |
-
- Authors of [Mergekit](https://github.com/arcee-ai/mergekit)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
license: apache-2.0
|
|
|
5 |
tags:
|
6 |
- merge
|
7 |
- mergekit
|
|
|
9 |
- yuvraj17/Llama-3-8B-spectrum-25
|
10 |
- ruggsea/Llama3-stanford-encyclopedia-philosophy-QA
|
11 |
- arcee-ai/Llama-3.1-SuperNova-Lite
|
12 |
+
base_model:
|
13 |
+
- yuvraj17/Llama-3-8B-spectrum-25
|
14 |
+
- ruggsea/Llama3-stanford-encyclopedia-philosophy-QA
|
15 |
+
- arcee-ai/Llama-3.1-SuperNova-Lite
|
16 |
pipeline_tag: text-generation
|
17 |
+
model-index:
|
18 |
+
- name: Llama3-8B-SuperNova-Spectrum-dare_ties
|
19 |
+
results:
|
20 |
+
- task:
|
21 |
+
type: text-generation
|
22 |
+
name: Text Generation
|
23 |
+
dataset:
|
24 |
+
name: IFEval (0-Shot)
|
25 |
+
type: HuggingFaceH4/ifeval
|
26 |
+
args:
|
27 |
+
num_few_shot: 0
|
28 |
+
metrics:
|
29 |
+
- type: inst_level_strict_acc and prompt_level_strict_acc
|
30 |
+
value: 40.13
|
31 |
+
name: strict accuracy
|
32 |
+
source:
|
33 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties
|
34 |
+
name: Open LLM Leaderboard
|
35 |
+
- task:
|
36 |
+
type: text-generation
|
37 |
+
name: Text Generation
|
38 |
+
dataset:
|
39 |
+
name: BBH (3-Shot)
|
40 |
+
type: BBH
|
41 |
+
args:
|
42 |
+
num_few_shot: 3
|
43 |
+
metrics:
|
44 |
+
- type: acc_norm
|
45 |
+
value: 23.49
|
46 |
+
name: normalized accuracy
|
47 |
+
source:
|
48 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties
|
49 |
+
name: Open LLM Leaderboard
|
50 |
+
- task:
|
51 |
+
type: text-generation
|
52 |
+
name: Text Generation
|
53 |
+
dataset:
|
54 |
+
name: MATH Lvl 5 (4-Shot)
|
55 |
+
type: hendrycks/competition_math
|
56 |
+
args:
|
57 |
+
num_few_shot: 4
|
58 |
+
metrics:
|
59 |
+
- type: exact_match
|
60 |
+
value: 7.4
|
61 |
+
name: exact match
|
62 |
+
source:
|
63 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties
|
64 |
+
name: Open LLM Leaderboard
|
65 |
+
- task:
|
66 |
+
type: text-generation
|
67 |
+
name: Text Generation
|
68 |
+
dataset:
|
69 |
+
name: GPQA (0-shot)
|
70 |
+
type: Idavidrein/gpqa
|
71 |
+
args:
|
72 |
+
num_few_shot: 0
|
73 |
+
metrics:
|
74 |
+
- type: acc_norm
|
75 |
+
value: 3.36
|
76 |
+
name: acc_norm
|
77 |
+
source:
|
78 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties
|
79 |
+
name: Open LLM Leaderboard
|
80 |
+
- task:
|
81 |
+
type: text-generation
|
82 |
+
name: Text Generation
|
83 |
+
dataset:
|
84 |
+
name: MuSR (0-shot)
|
85 |
+
type: TAUR-Lab/MuSR
|
86 |
+
args:
|
87 |
+
num_few_shot: 0
|
88 |
+
metrics:
|
89 |
+
- type: acc_norm
|
90 |
+
value: 11.0
|
91 |
+
name: acc_norm
|
92 |
+
source:
|
93 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties
|
94 |
+
name: Open LLM Leaderboard
|
95 |
+
- task:
|
96 |
+
type: text-generation
|
97 |
+
name: Text Generation
|
98 |
+
dataset:
|
99 |
+
name: MMLU-PRO (5-shot)
|
100 |
+
type: TIGER-Lab/MMLU-Pro
|
101 |
+
config: main
|
102 |
+
split: test
|
103 |
+
args:
|
104 |
+
num_few_shot: 5
|
105 |
+
metrics:
|
106 |
+
- type: acc
|
107 |
+
value: 28.6
|
108 |
+
name: accuracy
|
109 |
+
source:
|
110 |
+
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=yuvraj17/Llama3-8B-SuperNova-Spectrum-dare_ties
|
111 |
+
name: Open LLM Leaderboard
|
112 |
---
|
113 |
|
114 |
# Llama3-8B-SuperNova-Spectrum-dare_ties
|
|
|
275 |
|
276 |
## Special thanks & Reference
|
277 |
- Maxime Labonne for their easy-to-use colab-notebook [Merging LLMs with MergeKit](https://github.com/mlabonne/llm-course/blob/main/Mergekit.ipynb), [Blog](https://towardsdatascience.com/merge-large-language-models-with-mergekit-2118fb392b54) and [LLM-AutoEva Notebookl](https://github.com/mlabonne/llm-autoeval)
|
278 |
+
- Authors of [Mergekit](https://github.com/arcee-ai/mergekit)
|
279 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
|
280 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_yuvraj17__Llama3-8B-SuperNova-Spectrum-dare_ties)
|
281 |
+
|
282 |
+
| Metric |Value|
|
283 |
+
|-------------------|----:|
|
284 |
+
|Avg. |19.00|
|
285 |
+
|IFEval (0-Shot) |40.13|
|
286 |
+
|BBH (3-Shot) |23.49|
|
287 |
+
|MATH Lvl 5 (4-Shot)| 7.40|
|
288 |
+
|GPQA (0-shot) | 3.36|
|
289 |
+
|MuSR (0-shot) |11.00|
|
290 |
+
|MMLU-PRO (5-shot) |28.60|
|
291 |
+
|