Commit
•
48928a2
1
Parent(s):
19f7e3e
Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (be680895fcf96f3c50a72be7d38282f7c680f364)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
CHANGED
@@ -1,4 +1,7 @@
|
|
1 |
---
|
|
|
|
|
|
|
2 |
tags:
|
3 |
- merge
|
4 |
- mergekit
|
@@ -11,9 +14,109 @@ tags:
|
|
11 |
base_model:
|
12 |
- maywell/PiVoT-0.1-Evil-a
|
13 |
- mlabonne/NeuralOmniBeagle-7B-v2
|
14 |
-
|
15 |
-
|
16 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
17 |
---
|
18 |
|
19 |
# Konstanta-7B
|
@@ -67,4 +170,17 @@ pipeline = transformers.pipeline(
|
|
67 |
|
68 |
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
|
69 |
print(outputs[0]["generated_text"])
|
70 |
-
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
license: apache-2.0
|
5 |
tags:
|
6 |
- merge
|
7 |
- mergekit
|
|
|
14 |
base_model:
|
15 |
- maywell/PiVoT-0.1-Evil-a
|
16 |
- mlabonne/NeuralOmniBeagle-7B-v2
|
17 |
+
model-index:
|
18 |
+
- name: Konstanta-7B
|
19 |
+
results:
|
20 |
+
- task:
|
21 |
+
type: text-generation
|
22 |
+
name: Text Generation
|
23 |
+
dataset:
|
24 |
+
name: AI2 Reasoning Challenge (25-Shot)
|
25 |
+
type: ai2_arc
|
26 |
+
config: ARC-Challenge
|
27 |
+
split: test
|
28 |
+
args:
|
29 |
+
num_few_shot: 25
|
30 |
+
metrics:
|
31 |
+
- type: acc_norm
|
32 |
+
value: 70.05
|
33 |
+
name: normalized accuracy
|
34 |
+
source:
|
35 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-7B
|
36 |
+
name: Open LLM Leaderboard
|
37 |
+
- task:
|
38 |
+
type: text-generation
|
39 |
+
name: Text Generation
|
40 |
+
dataset:
|
41 |
+
name: HellaSwag (10-Shot)
|
42 |
+
type: hellaswag
|
43 |
+
split: validation
|
44 |
+
args:
|
45 |
+
num_few_shot: 10
|
46 |
+
metrics:
|
47 |
+
- type: acc_norm
|
48 |
+
value: 87.5
|
49 |
+
name: normalized accuracy
|
50 |
+
source:
|
51 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-7B
|
52 |
+
name: Open LLM Leaderboard
|
53 |
+
- task:
|
54 |
+
type: text-generation
|
55 |
+
name: Text Generation
|
56 |
+
dataset:
|
57 |
+
name: MMLU (5-Shot)
|
58 |
+
type: cais/mmlu
|
59 |
+
config: all
|
60 |
+
split: test
|
61 |
+
args:
|
62 |
+
num_few_shot: 5
|
63 |
+
metrics:
|
64 |
+
- type: acc
|
65 |
+
value: 65.06
|
66 |
+
name: accuracy
|
67 |
+
source:
|
68 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-7B
|
69 |
+
name: Open LLM Leaderboard
|
70 |
+
- task:
|
71 |
+
type: text-generation
|
72 |
+
name: Text Generation
|
73 |
+
dataset:
|
74 |
+
name: TruthfulQA (0-shot)
|
75 |
+
type: truthful_qa
|
76 |
+
config: multiple_choice
|
77 |
+
split: validation
|
78 |
+
args:
|
79 |
+
num_few_shot: 0
|
80 |
+
metrics:
|
81 |
+
- type: mc2
|
82 |
+
value: 65.43
|
83 |
+
source:
|
84 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-7B
|
85 |
+
name: Open LLM Leaderboard
|
86 |
+
- task:
|
87 |
+
type: text-generation
|
88 |
+
name: Text Generation
|
89 |
+
dataset:
|
90 |
+
name: Winogrande (5-shot)
|
91 |
+
type: winogrande
|
92 |
+
config: winogrande_xl
|
93 |
+
split: validation
|
94 |
+
args:
|
95 |
+
num_few_shot: 5
|
96 |
+
metrics:
|
97 |
+
- type: acc
|
98 |
+
value: 82.16
|
99 |
+
name: accuracy
|
100 |
+
source:
|
101 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-7B
|
102 |
+
name: Open LLM Leaderboard
|
103 |
+
- task:
|
104 |
+
type: text-generation
|
105 |
+
name: Text Generation
|
106 |
+
dataset:
|
107 |
+
name: GSM8k (5-shot)
|
108 |
+
type: gsm8k
|
109 |
+
config: main
|
110 |
+
split: test
|
111 |
+
args:
|
112 |
+
num_few_shot: 5
|
113 |
+
metrics:
|
114 |
+
- type: acc
|
115 |
+
value: 71.04
|
116 |
+
name: accuracy
|
117 |
+
source:
|
118 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Inv/Konstanta-7B
|
119 |
+
name: Open LLM Leaderboard
|
120 |
---
|
121 |
|
122 |
# Konstanta-7B
|
|
|
170 |
|
171 |
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
|
172 |
print(outputs[0]["generated_text"])
|
173 |
+
```
|
174 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
175 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Inv__Konstanta-7B)
|
176 |
+
|
177 |
+
| Metric |Value|
|
178 |
+
|---------------------------------|----:|
|
179 |
+
|Avg. |73.54|
|
180 |
+
|AI2 Reasoning Challenge (25-Shot)|70.05|
|
181 |
+
|HellaSwag (10-Shot) |87.50|
|
182 |
+
|MMLU (5-Shot) |65.06|
|
183 |
+
|TruthfulQA (0-shot) |65.43|
|
184 |
+
|Winogrande (5-shot) |82.16|
|
185 |
+
|GSM8k (5-shot) |71.04|
|
186 |
+
|