Commit
•
bdd31cf
1
Parent(s):
59b1af1
Adding Evaluation Results (#10)
Browse files- Adding Evaluation Results (a053b485ed61758e2ca4acb5ed6bb3a33c5d272d)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
CHANGED
@@ -1,11 +1,11 @@
|
|
1 |
---
|
2 |
license: apache-2.0
|
3 |
-
base_model: Intel/neural-chat-7b-v3-1
|
4 |
tags:
|
5 |
- LLMs
|
6 |
- mistral
|
7 |
- math
|
8 |
- Intel
|
|
|
9 |
model-index:
|
10 |
- name: neural-chat-7b-v3-3
|
11 |
results:
|
@@ -13,8 +13,8 @@ model-index:
|
|
13 |
type: Large Language Model
|
14 |
name: Large Language Model
|
15 |
dataset:
|
16 |
-
type: meta-math/MetaMathQA
|
17 |
name: meta-math/MetaMathQA
|
|
|
18 |
metrics:
|
19 |
- type: ARC (25-shot)
|
20 |
value: 66.89
|
@@ -40,6 +40,106 @@ model-index:
|
|
40 |
value: 61.11
|
41 |
name: GSM8K (5-shot)
|
42 |
verified: true
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
43 |
---
|
44 |
|
45 |
## Model Details: Neural-Chat-v3-3
|
@@ -243,4 +343,17 @@ Here are a couple of useful links to learn more about Intel's AI software:
|
|
243 |
|
244 |
## Disclaimer
|
245 |
|
246 |
-
The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model. Please cosult an attorney before using this model for commercial purposes.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
---
|
2 |
license: apache-2.0
|
|
|
3 |
tags:
|
4 |
- LLMs
|
5 |
- mistral
|
6 |
- math
|
7 |
- Intel
|
8 |
+
base_model: Intel/neural-chat-7b-v3-1
|
9 |
model-index:
|
10 |
- name: neural-chat-7b-v3-3
|
11 |
results:
|
|
|
13 |
type: Large Language Model
|
14 |
name: Large Language Model
|
15 |
dataset:
|
|
|
16 |
name: meta-math/MetaMathQA
|
17 |
+
type: meta-math/MetaMathQA
|
18 |
metrics:
|
19 |
- type: ARC (25-shot)
|
20 |
value: 66.89
|
|
|
40 |
value: 61.11
|
41 |
name: GSM8K (5-shot)
|
42 |
verified: true
|
43 |
+
- task:
|
44 |
+
type: text-generation
|
45 |
+
name: Text Generation
|
46 |
+
dataset:
|
47 |
+
name: AI2 Reasoning Challenge (25-Shot)
|
48 |
+
type: ai2_arc
|
49 |
+
config: ARC-Challenge
|
50 |
+
split: test
|
51 |
+
args:
|
52 |
+
num_few_shot: 25
|
53 |
+
metrics:
|
54 |
+
- type: acc_norm
|
55 |
+
value: 66.89
|
56 |
+
name: normalized accuracy
|
57 |
+
source:
|
58 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Intel/neural-chat-7b-v3-3
|
59 |
+
name: Open LLM Leaderboard
|
60 |
+
- task:
|
61 |
+
type: text-generation
|
62 |
+
name: Text Generation
|
63 |
+
dataset:
|
64 |
+
name: HellaSwag (10-Shot)
|
65 |
+
type: hellaswag
|
66 |
+
split: validation
|
67 |
+
args:
|
68 |
+
num_few_shot: 10
|
69 |
+
metrics:
|
70 |
+
- type: acc_norm
|
71 |
+
value: 85.26
|
72 |
+
name: normalized accuracy
|
73 |
+
source:
|
74 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Intel/neural-chat-7b-v3-3
|
75 |
+
name: Open LLM Leaderboard
|
76 |
+
- task:
|
77 |
+
type: text-generation
|
78 |
+
name: Text Generation
|
79 |
+
dataset:
|
80 |
+
name: MMLU (5-Shot)
|
81 |
+
type: cais/mmlu
|
82 |
+
config: all
|
83 |
+
split: test
|
84 |
+
args:
|
85 |
+
num_few_shot: 5
|
86 |
+
metrics:
|
87 |
+
- type: acc
|
88 |
+
value: 63.07
|
89 |
+
name: accuracy
|
90 |
+
source:
|
91 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Intel/neural-chat-7b-v3-3
|
92 |
+
name: Open LLM Leaderboard
|
93 |
+
- task:
|
94 |
+
type: text-generation
|
95 |
+
name: Text Generation
|
96 |
+
dataset:
|
97 |
+
name: TruthfulQA (0-shot)
|
98 |
+
type: truthful_qa
|
99 |
+
config: multiple_choice
|
100 |
+
split: validation
|
101 |
+
args:
|
102 |
+
num_few_shot: 0
|
103 |
+
metrics:
|
104 |
+
- type: mc2
|
105 |
+
value: 63.01
|
106 |
+
source:
|
107 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Intel/neural-chat-7b-v3-3
|
108 |
+
name: Open LLM Leaderboard
|
109 |
+
- task:
|
110 |
+
type: text-generation
|
111 |
+
name: Text Generation
|
112 |
+
dataset:
|
113 |
+
name: Winogrande (5-shot)
|
114 |
+
type: winogrande
|
115 |
+
config: winogrande_xl
|
116 |
+
split: validation
|
117 |
+
args:
|
118 |
+
num_few_shot: 5
|
119 |
+
metrics:
|
120 |
+
- type: acc
|
121 |
+
value: 79.64
|
122 |
+
name: accuracy
|
123 |
+
source:
|
124 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Intel/neural-chat-7b-v3-3
|
125 |
+
name: Open LLM Leaderboard
|
126 |
+
- task:
|
127 |
+
type: text-generation
|
128 |
+
name: Text Generation
|
129 |
+
dataset:
|
130 |
+
name: GSM8k (5-shot)
|
131 |
+
type: gsm8k
|
132 |
+
config: main
|
133 |
+
split: test
|
134 |
+
args:
|
135 |
+
num_few_shot: 5
|
136 |
+
metrics:
|
137 |
+
- type: acc
|
138 |
+
value: 61.11
|
139 |
+
name: accuracy
|
140 |
+
source:
|
141 |
+
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Intel/neural-chat-7b-v3-3
|
142 |
+
name: Open LLM Leaderboard
|
143 |
---
|
144 |
|
145 |
## Model Details: Neural-Chat-v3-3
|
|
|
343 |
|
344 |
## Disclaimer
|
345 |
|
346 |
+
The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model. Please cosult an attorney before using this model for commercial purposes.
|
347 |
+
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
|
348 |
+
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Intel__neural-chat-7b-v3-3)
|
349 |
+
|
350 |
+
| Metric |Value|
|
351 |
+
|---------------------------------|----:|
|
352 |
+
|Avg. |69.83|
|
353 |
+
|AI2 Reasoning Challenge (25-Shot)|66.89|
|
354 |
+
|HellaSwag (10-Shot) |85.26|
|
355 |
+
|MMLU (5-Shot) |63.07|
|
356 |
+
|TruthfulQA (0-shot) |63.01|
|
357 |
+
|Winogrande (5-shot) |79.64|
|
358 |
+
|GSM8k (5-shot) |61.11|
|
359 |
+
|