leaderboard-pr-bot
commited on
Commit
•
adf1a5b
1
Parent(s):
6b6e2a6
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
@@ -25,11 +25,114 @@ datasets:
|
|
25 |
- Intel/orca_dpo_pairs
|
26 |
- unalignment/toxic-dpo-v0.1
|
27 |
- jondurbin/truthy-dpo-v0.1
|
28 |
-
- allenai/ultrafeedback_binarized_cleaned
|
29 |
- Squish42/bluemoon-fandom-1-1-rp-cleaned
|
30 |
- LDJnr/Capybara
|
31 |
- JULIELab/EmoBank
|
32 |
- kingbri/PIPPA-shareGPT
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
33 |
---
|
34 |
|
35 |
# A bagel, with everything (except DPO)
|
@@ -433,4 +536,17 @@ I am not a lawyer, so I can't help determine if this is actually commercially vi
|
|
433 |
- If the dataset was released under a permissive license, but actually includes OpenAI generated data, does that ToS supersede the license?
|
434 |
- Does the dataset fall completely under fair use anyways, since the model isn't really capable of reproducing the entire training set verbatim?
|
435 |
|
436 |
-
Use your best judgement and seek legal advice if you are concerned about the terms. In any case, by using this model, you agree to completely indemnify me.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
25 |
- Intel/orca_dpo_pairs
|
26 |
- unalignment/toxic-dpo-v0.1
|
27 |
- jondurbin/truthy-dpo-v0.1
|
28 |
+
- allenai/ultrafeedback_binarized_cleaned
|
29 |
- Squish42/bluemoon-fandom-1-1-rp-cleaned
|
30 |
- LDJnr/Capybara
|
31 |
- JULIELab/EmoBank
|
32 |
- kingbri/PIPPA-shareGPT
|
33 |
+
model-index:
|
34 |
+
- name: bagel-8x7b-v0.2
|
35 |
+
results:
|
36 |
+
- task:
|
37 |
+
type: text-generation
|
38 |
+
name: Text Generation
|
39 |
+
dataset:
|
40 |
+
name: AI2 Reasoning Challenge (25-Shot)
|
41 |
+
type: ai2_arc
|
42 |
+
config: ARC-Challenge
|
43 |
+
split: test
|
44 |
+
args:
|
45 |
+
num_few_shot: 25
|
46 |
+
metrics:
|
47 |
+
- type: acc_norm
|
48 |
+
value: 68.26
|
49 |
+
name: normalized accuracy
|
50 |
+
source:
|
51 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jondurbin/bagel-8x7b-v0.2
|
52 |
+
name: Open LLM Leaderboard
|
53 |
+
- task:
|
54 |
+
type: text-generation
|
55 |
+
name: Text Generation
|
56 |
+
dataset:
|
57 |
+
name: HellaSwag (10-Shot)
|
58 |
+
type: hellaswag
|
59 |
+
split: validation
|
60 |
+
args:
|
61 |
+
num_few_shot: 10
|
62 |
+
metrics:
|
63 |
+
- type: acc_norm
|
64 |
+
value: 86.32
|
65 |
+
name: normalized accuracy
|
66 |
+
source:
|
67 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jondurbin/bagel-8x7b-v0.2
|
68 |
+
name: Open LLM Leaderboard
|
69 |
+
- task:
|
70 |
+
type: text-generation
|
71 |
+
name: Text Generation
|
72 |
+
dataset:
|
73 |
+
name: MMLU (5-Shot)
|
74 |
+
type: cais/mmlu
|
75 |
+
config: all
|
76 |
+
split: test
|
77 |
+
args:
|
78 |
+
num_few_shot: 5
|
79 |
+
metrics:
|
80 |
+
- type: acc
|
81 |
+
value: 70.4
|
82 |
+
name: accuracy
|
83 |
+
source:
|
84 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jondurbin/bagel-8x7b-v0.2
|
85 |
+
name: Open LLM Leaderboard
|
86 |
+
- task:
|
87 |
+
type: text-generation
|
88 |
+
name: Text Generation
|
89 |
+
dataset:
|
90 |
+
name: TruthfulQA (0-shot)
|
91 |
+
type: truthful_qa
|
92 |
+
config: multiple_choice
|
93 |
+
split: validation
|
94 |
+
args:
|
95 |
+
num_few_shot: 0
|
96 |
+
metrics:
|
97 |
+
- type: mc2
|
98 |
+
value: 60.03
|
99 |
+
source:
|
100 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jondurbin/bagel-8x7b-v0.2
|
101 |
+
name: Open LLM Leaderboard
|
102 |
+
- task:
|
103 |
+
type: text-generation
|
104 |
+
name: Text Generation
|
105 |
+
dataset:
|
106 |
+
name: Winogrande (5-shot)
|
107 |
+
type: winogrande
|
108 |
+
config: winogrande_xl
|
109 |
+
split: validation
|
110 |
+
args:
|
111 |
+
num_few_shot: 5
|
112 |
+
metrics:
|
113 |
+
- type: acc
|
114 |
+
value: 81.29
|
115 |
+
name: accuracy
|
116 |
+
source:
|
117 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jondurbin/bagel-8x7b-v0.2
|
118 |
+
name: Open LLM Leaderboard
|
119 |
+
- task:
|
120 |
+
type: text-generation
|
121 |
+
name: Text Generation
|
122 |
+
dataset:
|
123 |
+
name: GSM8k (5-shot)
|
124 |
+
type: gsm8k
|
125 |
+
config: main
|
126 |
+
split: test
|
127 |
+
args:
|
128 |
+
num_few_shot: 5
|
129 |
+
metrics:
|
130 |
+
- type: acc
|
131 |
+
value: 4.7
|
132 |
+
name: accuracy
|
133 |
+
source:
|
134 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jondurbin/bagel-8x7b-v0.2
|
135 |
+
name: Open LLM Leaderboard
|
136 |
---
|
137 |
|
138 |
# A bagel, with everything (except DPO)
|
|
|
536 |
- If the dataset was released under a permissive license, but actually includes OpenAI generated data, does that ToS supersede the license?
|
537 |
- Does the dataset fall completely under fair use anyways, since the model isn't really capable of reproducing the entire training set verbatim?
|
538 |
|
539 |
+
Use your best judgement and seek legal advice if you are concerned about the terms. In any case, by using this model, you agree to completely indemnify me.
|
540 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
541 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_jondurbin__bagel-8x7b-v0.2)
|
542 |
+
|
543 |
+
| Metric |Value|
|
544 |
+
|---------------------------------|----:|
|
545 |
+
|Avg. |61.83|
|
546 |
+
|AI2 Reasoning Challenge (25-Shot)|68.26|
|
547 |
+
|HellaSwag (10-Shot) |86.32|
|
548 |
+
|MMLU (5-Shot) |70.40|
|
549 |
+
|TruthfulQA (0-shot) |60.03|
|
550 |
+
|Winogrande (5-shot) |81.29|
|
551 |
+
|GSM8k (5-shot) | 4.70|
|
552 |
+
|