leaderboard-pr-bot
commited on
Commit
•
3b043a5
1
Parent(s):
4eff02a
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
@@ -1,5 +1,108 @@
|
|
1 |
---
|
2 |
license: apache-2.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
---
|
4 |
|
5 |
# apricot-wildflower-20
|
@@ -29,4 +132,17 @@ inputs = tokenizer(text, return_tensors="pt")
|
|
29 |
outputs = model.generate(**inputs, max_new_tokens=128)
|
30 |
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
|
31 |
# Hello my name is Katie and I am a 20 year old student from the UK. I am currently studying for a degree in English Literature and Creative Writing at the University of Leeds. I am a huge fan of the Harry Potter series and have been since I was 10 years old. I have read the books countless times and have seen the films many times too. I am a huge fan of the Harry Potter fandom and have been a member of the Harry Potter forums for a few years now. I am also a member of the Harry Potter fan club and have been for a few years now. I
|
32 |
-
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
license: apache-2.0
|
3 |
+
model-index:
|
4 |
+
- name: apricot-wildflower-20
|
5 |
+
results:
|
6 |
+
- task:
|
7 |
+
type: text-generation
|
8 |
+
name: Text Generation
|
9 |
+
dataset:
|
10 |
+
name: AI2 Reasoning Challenge (25-Shot)
|
11 |
+
type: ai2_arc
|
12 |
+
config: ARC-Challenge
|
13 |
+
split: test
|
14 |
+
args:
|
15 |
+
num_few_shot: 25
|
16 |
+
metrics:
|
17 |
+
- type: acc_norm
|
18 |
+
value: 59.64
|
19 |
+
name: normalized accuracy
|
20 |
+
source:
|
21 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=crumb/apricot-wildflower-20
|
22 |
+
name: Open LLM Leaderboard
|
23 |
+
- task:
|
24 |
+
type: text-generation
|
25 |
+
name: Text Generation
|
26 |
+
dataset:
|
27 |
+
name: HellaSwag (10-Shot)
|
28 |
+
type: hellaswag
|
29 |
+
split: validation
|
30 |
+
args:
|
31 |
+
num_few_shot: 10
|
32 |
+
metrics:
|
33 |
+
- type: acc_norm
|
34 |
+
value: 81.76
|
35 |
+
name: normalized accuracy
|
36 |
+
source:
|
37 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=crumb/apricot-wildflower-20
|
38 |
+
name: Open LLM Leaderboard
|
39 |
+
- task:
|
40 |
+
type: text-generation
|
41 |
+
name: Text Generation
|
42 |
+
dataset:
|
43 |
+
name: MMLU (5-Shot)
|
44 |
+
type: cais/mmlu
|
45 |
+
config: all
|
46 |
+
split: test
|
47 |
+
args:
|
48 |
+
num_few_shot: 5
|
49 |
+
metrics:
|
50 |
+
- type: acc
|
51 |
+
value: 63.38
|
52 |
+
name: accuracy
|
53 |
+
source:
|
54 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=crumb/apricot-wildflower-20
|
55 |
+
name: Open LLM Leaderboard
|
56 |
+
- task:
|
57 |
+
type: text-generation
|
58 |
+
name: Text Generation
|
59 |
+
dataset:
|
60 |
+
name: TruthfulQA (0-shot)
|
61 |
+
type: truthful_qa
|
62 |
+
config: multiple_choice
|
63 |
+
split: validation
|
64 |
+
args:
|
65 |
+
num_few_shot: 0
|
66 |
+
metrics:
|
67 |
+
- type: mc2
|
68 |
+
value: 41.76
|
69 |
+
source:
|
70 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=crumb/apricot-wildflower-20
|
71 |
+
name: Open LLM Leaderboard
|
72 |
+
- task:
|
73 |
+
type: text-generation
|
74 |
+
name: Text Generation
|
75 |
+
dataset:
|
76 |
+
name: Winogrande (5-shot)
|
77 |
+
type: winogrande
|
78 |
+
config: winogrande_xl
|
79 |
+
split: validation
|
80 |
+
args:
|
81 |
+
num_few_shot: 5
|
82 |
+
metrics:
|
83 |
+
- type: acc
|
84 |
+
value: 77.9
|
85 |
+
name: accuracy
|
86 |
+
source:
|
87 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=crumb/apricot-wildflower-20
|
88 |
+
name: Open LLM Leaderboard
|
89 |
+
- task:
|
90 |
+
type: text-generation
|
91 |
+
name: Text Generation
|
92 |
+
dataset:
|
93 |
+
name: GSM8k (5-shot)
|
94 |
+
type: gsm8k
|
95 |
+
config: main
|
96 |
+
split: test
|
97 |
+
args:
|
98 |
+
num_few_shot: 5
|
99 |
+
metrics:
|
100 |
+
- type: acc
|
101 |
+
value: 33.97
|
102 |
+
name: accuracy
|
103 |
+
source:
|
104 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=crumb/apricot-wildflower-20
|
105 |
+
name: Open LLM Leaderboard
|
106 |
---
|
107 |
|
108 |
# apricot-wildflower-20
|
|
|
132 |
outputs = model.generate(**inputs, max_new_tokens=128)
|
133 |
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
|
134 |
# Hello my name is Katie and I am a 20 year old student from the UK. I am currently studying for a degree in English Literature and Creative Writing at the University of Leeds. I am a huge fan of the Harry Potter series and have been since I was 10 years old. I have read the books countless times and have seen the films many times too. I am a huge fan of the Harry Potter fandom and have been a member of the Harry Potter forums for a few years now. I am also a member of the Harry Potter fan club and have been for a few years now. I
|
135 |
+
```
|
136 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
137 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_crumb__apricot-wildflower-20)
|
138 |
+
|
139 |
+
| Metric |Value|
|
140 |
+
|---------------------------------|----:|
|
141 |
+
|Avg. |59.74|
|
142 |
+
|AI2 Reasoning Challenge (25-Shot)|59.64|
|
143 |
+
|HellaSwag (10-Shot) |81.76|
|
144 |
+
|MMLU (5-Shot) |63.38|
|
145 |
+
|TruthfulQA (0-shot) |41.76|
|
146 |
+
|Winogrande (5-shot) |77.90|
|
147 |
+
|GSM8k (5-shot) |33.97|
|
148 |
+
|