leaderboard-pr-bot
commited on
Commit
•
39a082b
1
Parent(s):
6ba7b5a
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
@@ -4,6 +4,109 @@ tags:
|
|
4 |
- moe
|
5 |
- DPO
|
6 |
- RL-TUNED
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
7 |
---
|
8 |
|
9 |
* [DPO Trainer](https://huggingface.co/docs/trl/main/en/dpo_trainer) with dataset jondurbin/truthy-dpo-v0.1 to improve [cloudyu/Mixtral_34Bx2_MoE_60B]
|
@@ -11,4 +114,17 @@ tags:
|
|
11 |
DPO Trainer
|
12 |
TRL supports the DPO Trainer for training language models from preference data, as described in the paper Direct Preference Optimization: Your Language Model is Secretly a Reward Model by Rafailov et al., 2023.
|
13 |
```
|
14 |
-
* Metrics NOT test!
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
4 |
- moe
|
5 |
- DPO
|
6 |
- RL-TUNED
|
7 |
+
model-index:
|
8 |
+
- name: Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B
|
9 |
+
results:
|
10 |
+
- task:
|
11 |
+
type: text-generation
|
12 |
+
name: Text Generation
|
13 |
+
dataset:
|
14 |
+
name: AI2 Reasoning Challenge (25-Shot)
|
15 |
+
type: ai2_arc
|
16 |
+
config: ARC-Challenge
|
17 |
+
split: test
|
18 |
+
args:
|
19 |
+
num_few_shot: 25
|
20 |
+
metrics:
|
21 |
+
- type: acc_norm
|
22 |
+
value: 71.25
|
23 |
+
name: normalized accuracy
|
24 |
+
source:
|
25 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cloudyu/Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B
|
26 |
+
name: Open LLM Leaderboard
|
27 |
+
- task:
|
28 |
+
type: text-generation
|
29 |
+
name: Text Generation
|
30 |
+
dataset:
|
31 |
+
name: HellaSwag (10-Shot)
|
32 |
+
type: hellaswag
|
33 |
+
split: validation
|
34 |
+
args:
|
35 |
+
num_few_shot: 10
|
36 |
+
metrics:
|
37 |
+
- type: acc_norm
|
38 |
+
value: 85.24
|
39 |
+
name: normalized accuracy
|
40 |
+
source:
|
41 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cloudyu/Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B
|
42 |
+
name: Open LLM Leaderboard
|
43 |
+
- task:
|
44 |
+
type: text-generation
|
45 |
+
name: Text Generation
|
46 |
+
dataset:
|
47 |
+
name: MMLU (5-Shot)
|
48 |
+
type: cais/mmlu
|
49 |
+
config: all
|
50 |
+
split: test
|
51 |
+
args:
|
52 |
+
num_few_shot: 5
|
53 |
+
metrics:
|
54 |
+
- type: acc
|
55 |
+
value: 77.28
|
56 |
+
name: accuracy
|
57 |
+
source:
|
58 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cloudyu/Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B
|
59 |
+
name: Open LLM Leaderboard
|
60 |
+
- task:
|
61 |
+
type: text-generation
|
62 |
+
name: Text Generation
|
63 |
+
dataset:
|
64 |
+
name: TruthfulQA (0-shot)
|
65 |
+
type: truthful_qa
|
66 |
+
config: multiple_choice
|
67 |
+
split: validation
|
68 |
+
args:
|
69 |
+
num_few_shot: 0
|
70 |
+
metrics:
|
71 |
+
- type: mc2
|
72 |
+
value: 66.74
|
73 |
+
source:
|
74 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cloudyu/Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B
|
75 |
+
name: Open LLM Leaderboard
|
76 |
+
- task:
|
77 |
+
type: text-generation
|
78 |
+
name: Text Generation
|
79 |
+
dataset:
|
80 |
+
name: Winogrande (5-shot)
|
81 |
+
type: winogrande
|
82 |
+
config: winogrande_xl
|
83 |
+
split: validation
|
84 |
+
args:
|
85 |
+
num_few_shot: 5
|
86 |
+
metrics:
|
87 |
+
- type: acc
|
88 |
+
value: 84.29
|
89 |
+
name: accuracy
|
90 |
+
source:
|
91 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cloudyu/Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B
|
92 |
+
name: Open LLM Leaderboard
|
93 |
+
- task:
|
94 |
+
type: text-generation
|
95 |
+
name: Text Generation
|
96 |
+
dataset:
|
97 |
+
name: GSM8k (5-shot)
|
98 |
+
type: gsm8k
|
99 |
+
config: main
|
100 |
+
split: test
|
101 |
+
args:
|
102 |
+
num_few_shot: 5
|
103 |
+
metrics:
|
104 |
+
- type: acc
|
105 |
+
value: 74.07
|
106 |
+
name: accuracy
|
107 |
+
source:
|
108 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=cloudyu/Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B
|
109 |
+
name: Open LLM Leaderboard
|
110 |
---
|
111 |
|
112 |
* [DPO Trainer](https://huggingface.co/docs/trl/main/en/dpo_trainer) with dataset jondurbin/truthy-dpo-v0.1 to improve [cloudyu/Mixtral_34Bx2_MoE_60B]
|
|
|
114 |
DPO Trainer
|
115 |
TRL supports the DPO Trainer for training language models from preference data, as described in the paper Direct Preference Optimization: Your Language Model is Secretly a Reward Model by Rafailov et al., 2023.
|
116 |
```
|
117 |
+
* Metrics NOT test!
|
118 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
119 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_cloudyu__Truthful_DPO_cloudyu_Mixtral_34Bx2_MoE_60B)
|
120 |
+
|
121 |
+
| Metric |Value|
|
122 |
+
|---------------------------------|----:|
|
123 |
+
|Avg. |76.48|
|
124 |
+
|AI2 Reasoning Challenge (25-Shot)|71.25|
|
125 |
+
|HellaSwag (10-Shot) |85.24|
|
126 |
+
|MMLU (5-Shot) |77.28|
|
127 |
+
|TruthfulQA (0-shot) |66.74|
|
128 |
+
|Winogrande (5-shot) |84.29|
|
129 |
+
|GSM8k (5-shot) |74.07|
|
130 |
+
|