Text Generation
Transformers
Safetensors
llama
conversational
Eval Results
Inference Endpoints
text-generation-inference
Locutusque leaderboard-pr-bot commited on
Commit
cf9909d
1 Parent(s): 690c973

Adding Evaluation Results (#2)

Browse files

- Adding Evaluation Results (4908576e259efb77e48d4a551fa7cb890060ca0e)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

Files changed (1) hide show
  1. README.md +119 -3
README.md CHANGED
@@ -1,6 +1,7 @@
1
  ---
2
- library_name: transformers
3
  license: other
 
 
4
  datasets:
5
  - mlabonne/orpo-dpo-mix-40k
6
  - Open-Orca/SlimOrca-Dedup
@@ -8,7 +9,109 @@ datasets:
8
  - microsoft/orca-math-word-problems-200k
9
  - m-a-p/Code-Feedback
10
  - MaziyarPanahi/WizardLM_evol_instruct_V2_196k
11
- base_model: meta-llama/Meta-Llama-3-8B
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  ---
13
 
14
  # llama-3-neural-chat-v1-8b
@@ -77,4 +180,17 @@ Conversational AI.
77
  | - agieval_sat_en_without_passage| 1|none | 0|acc |0.4175|± |0.0344|
78
  | | |none | 0|acc_norm |0.3738|± |0.0338|
79
  | - agieval_sat_math | 1|none | 0|acc |0.4227|± |0.0334|
80
- | | |none | 0|acc_norm |0.3682|± |0.0326|
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
 
2
  license: other
3
+ library_name: transformers
4
+ base_model: meta-llama/Meta-Llama-3-8B
5
  datasets:
6
  - mlabonne/orpo-dpo-mix-40k
7
  - Open-Orca/SlimOrca-Dedup
 
9
  - microsoft/orca-math-word-problems-200k
10
  - m-a-p/Code-Feedback
11
  - MaziyarPanahi/WizardLM_evol_instruct_V2_196k
12
+ model-index:
13
+ - name: llama-3-neural-chat-v1-8b
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: 60.84
28
+ name: normalized accuracy
29
+ source:
30
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b
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: 84.13
44
+ name: normalized accuracy
45
+ source:
46
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b
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: 64.69
61
+ name: accuracy
62
+ source:
63
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b
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: 56.34
78
+ source:
79
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b
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: 78.22
94
+ name: accuracy
95
+ source:
96
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b
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: 54.81
111
+ name: accuracy
112
+ source:
113
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Locutusque/llama-3-neural-chat-v1-8b
114
+ name: Open LLM Leaderboard
115
  ---
116
 
117
  # llama-3-neural-chat-v1-8b
 
180
  | - agieval_sat_en_without_passage| 1|none | 0|acc |0.4175|± |0.0344|
181
  | | |none | 0|acc_norm |0.3738|± |0.0338|
182
  | - agieval_sat_math | 1|none | 0|acc |0.4227|± |0.0334|
183
+ | | |none | 0|acc_norm |0.3682|± |0.0326|
184
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
185
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Locutusque__llama-3-neural-chat-v1-8b)
186
+
187
+ | Metric |Value|
188
+ |---------------------------------|----:|
189
+ |Avg. |66.50|
190
+ |AI2 Reasoning Challenge (25-Shot)|60.84|
191
+ |HellaSwag (10-Shot) |84.13|
192
+ |MMLU (5-Shot) |64.69|
193
+ |TruthfulQA (0-shot) |56.34|
194
+ |Winogrande (5-shot) |78.22|
195
+ |GSM8k (5-shot) |54.81|
196
+