Commit
•
9044672
1
Parent(s):
c6c13af
Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (5a9bcbc28f71a9932b5d15cea27211d73c6db2a9)
Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>
README.md
CHANGED
@@ -1,4 +1,5 @@
|
|
1 |
---
|
|
|
2 |
library_name: transformers
|
3 |
tags:
|
4 |
- experimental
|
@@ -8,7 +9,109 @@ datasets:
|
|
8 |
- jondurbin/gutenberg-dpo-v0.1
|
9 |
- jondurbin/truthy-dpo-v0.1
|
10 |
- flammenai/FlameMix-DPO-v1
|
11 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
12 |
---
|
13 |
|
14 |
# llama-3-sauce-v2-8B
|
@@ -143,4 +246,17 @@ dpo_trainer = DPOTrainer(
|
|
143 |
)
|
144 |
# Fine-tune model with DPO
|
145 |
dpo_trainer.train()
|
146 |
-
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
+
license: llama3
|
3 |
library_name: transformers
|
4 |
tags:
|
5 |
- experimental
|
|
|
9 |
- jondurbin/gutenberg-dpo-v0.1
|
10 |
- jondurbin/truthy-dpo-v0.1
|
11 |
- flammenai/FlameMix-DPO-v1
|
12 |
+
model-index:
|
13 |
+
- name: llama-3-sauce-v2-8B
|
14 |
+
results:
|
15 |
+
- task:
|
16 |
+
type: text-generation
|
17 |
+
name: Text Generation
|
18 |
+
dataset:
|
19 |
+
name: AI2 Reasoning Challenge (25-Shot)
|
20 |
+
type: ai2_arc
|
21 |
+
config: ARC-Challenge
|
22 |
+
split: test
|
23 |
+
args:
|
24 |
+
num_few_shot: 25
|
25 |
+
metrics:
|
26 |
+
- type: acc_norm
|
27 |
+
value: 65.61
|
28 |
+
name: normalized accuracy
|
29 |
+
source:
|
30 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-sauce-v2-8B
|
31 |
+
name: Open LLM Leaderboard
|
32 |
+
- task:
|
33 |
+
type: text-generation
|
34 |
+
name: Text Generation
|
35 |
+
dataset:
|
36 |
+
name: HellaSwag (10-Shot)
|
37 |
+
type: hellaswag
|
38 |
+
split: validation
|
39 |
+
args:
|
40 |
+
num_few_shot: 10
|
41 |
+
metrics:
|
42 |
+
- type: acc_norm
|
43 |
+
value: 83.11
|
44 |
+
name: normalized accuracy
|
45 |
+
source:
|
46 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-sauce-v2-8B
|
47 |
+
name: Open LLM Leaderboard
|
48 |
+
- task:
|
49 |
+
type: text-generation
|
50 |
+
name: Text Generation
|
51 |
+
dataset:
|
52 |
+
name: MMLU (5-Shot)
|
53 |
+
type: cais/mmlu
|
54 |
+
config: all
|
55 |
+
split: test
|
56 |
+
args:
|
57 |
+
num_few_shot: 5
|
58 |
+
metrics:
|
59 |
+
- type: acc
|
60 |
+
value: 67.98
|
61 |
+
name: accuracy
|
62 |
+
source:
|
63 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-sauce-v2-8B
|
64 |
+
name: Open LLM Leaderboard
|
65 |
+
- task:
|
66 |
+
type: text-generation
|
67 |
+
name: Text Generation
|
68 |
+
dataset:
|
69 |
+
name: TruthfulQA (0-shot)
|
70 |
+
type: truthful_qa
|
71 |
+
config: multiple_choice
|
72 |
+
split: validation
|
73 |
+
args:
|
74 |
+
num_few_shot: 0
|
75 |
+
metrics:
|
76 |
+
- type: mc2
|
77 |
+
value: 56.39
|
78 |
+
source:
|
79 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-sauce-v2-8B
|
80 |
+
name: Open LLM Leaderboard
|
81 |
+
- task:
|
82 |
+
type: text-generation
|
83 |
+
name: Text Generation
|
84 |
+
dataset:
|
85 |
+
name: Winogrande (5-shot)
|
86 |
+
type: winogrande
|
87 |
+
config: winogrande_xl
|
88 |
+
split: validation
|
89 |
+
args:
|
90 |
+
num_few_shot: 5
|
91 |
+
metrics:
|
92 |
+
- type: acc
|
93 |
+
value: 76.72
|
94 |
+
name: accuracy
|
95 |
+
source:
|
96 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-sauce-v2-8B
|
97 |
+
name: Open LLM Leaderboard
|
98 |
+
- task:
|
99 |
+
type: text-generation
|
100 |
+
name: Text Generation
|
101 |
+
dataset:
|
102 |
+
name: GSM8k (5-shot)
|
103 |
+
type: gsm8k
|
104 |
+
config: main
|
105 |
+
split: test
|
106 |
+
args:
|
107 |
+
num_few_shot: 5
|
108 |
+
metrics:
|
109 |
+
- type: acc
|
110 |
+
value: 72.48
|
111 |
+
name: accuracy
|
112 |
+
source:
|
113 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-sauce-v2-8B
|
114 |
+
name: Open LLM Leaderboard
|
115 |
---
|
116 |
|
117 |
# llama-3-sauce-v2-8B
|
|
|
246 |
)
|
247 |
# Fine-tune model with DPO
|
248 |
dpo_trainer.train()
|
249 |
+
```
|
250 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
251 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_nbeerbower__llama-3-sauce-v2-8B)
|
252 |
+
|
253 |
+
| Metric |Value|
|
254 |
+
|---------------------------------|----:|
|
255 |
+
|Avg. |70.38|
|
256 |
+
|AI2 Reasoning Challenge (25-Shot)|65.61|
|
257 |
+
|HellaSwag (10-Shot) |83.11|
|
258 |
+
|MMLU (5-Shot) |67.98|
|
259 |
+
|TruthfulQA (0-shot) |56.39|
|
260 |
+
|Winogrande (5-shot) |76.72|
|
261 |
+
|GSM8k (5-shot) |72.48|
|
262 |
+
|