leaderboard-pr-bot commited on
Commit
526c80b
1 Parent(s): fe8a4ea

Adding Evaluation Results

Browse files

This 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

Files changed (1) hide show
  1. README.md +118 -9
README.md CHANGED
@@ -1,19 +1,115 @@
1
  ---
 
 
2
  license: apache-2.0
3
  datasets:
4
  - cerebras/SlimPajama-627B
5
  - bigcode/starcoderdata
6
  - HuggingFaceH4/ultrachat_200k
7
  - HuggingFaceH4/ultrafeedback_binarized
8
- language:
9
- - en
10
  widget:
11
- - example_title: Fibonacci (Python)
12
- messages:
13
- - role: system
14
- content: You are a chatbot who can help code!
15
- - role: user
16
- content: Write me a function to calculate the first 10 digits of the fibonacci sequence in Python and print it out to the CLI.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
17
  ---
18
  <div align="center">
19
 
@@ -63,4 +159,17 @@ print(outputs[0]["generated_text"])
63
  # How many helicopters can a human eat in one sitting?</s>
64
  # <|assistant|>
65
  # ...
66
- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ language:
3
+ - en
4
  license: apache-2.0
5
  datasets:
6
  - cerebras/SlimPajama-627B
7
  - bigcode/starcoderdata
8
  - HuggingFaceH4/ultrachat_200k
9
  - HuggingFaceH4/ultrafeedback_binarized
 
 
10
  widget:
11
+ - example_title: Fibonacci (Python)
12
+ messages:
13
+ - role: system
14
+ content: You are a chatbot who can help code!
15
+ - role: user
16
+ content: Write me a function to calculate the first 10 digits of the fibonacci
17
+ sequence in Python and print it out to the CLI.
18
+ model-index:
19
+ - name: TinyLlama-1.1B-Chat-v1.0
20
+ results:
21
+ - task:
22
+ type: text-generation
23
+ name: Text Generation
24
+ dataset:
25
+ name: IFEval (0-Shot)
26
+ type: HuggingFaceH4/ifeval
27
+ args:
28
+ num_few_shot: 0
29
+ metrics:
30
+ - type: inst_level_strict_acc and prompt_level_strict_acc
31
+ value: 5.96
32
+ name: strict accuracy
33
+ source:
34
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-Chat-v1.0
35
+ name: Open LLM Leaderboard
36
+ - task:
37
+ type: text-generation
38
+ name: Text Generation
39
+ dataset:
40
+ name: BBH (3-Shot)
41
+ type: BBH
42
+ args:
43
+ num_few_shot: 3
44
+ metrics:
45
+ - type: acc_norm
46
+ value: 4.01
47
+ name: normalized accuracy
48
+ source:
49
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-Chat-v1.0
50
+ name: Open LLM Leaderboard
51
+ - task:
52
+ type: text-generation
53
+ name: Text Generation
54
+ dataset:
55
+ name: MATH Lvl 5 (4-Shot)
56
+ type: hendrycks/competition_math
57
+ args:
58
+ num_few_shot: 4
59
+ metrics:
60
+ - type: exact_match
61
+ value: 0.83
62
+ name: exact match
63
+ source:
64
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-Chat-v1.0
65
+ name: Open LLM Leaderboard
66
+ - task:
67
+ type: text-generation
68
+ name: Text Generation
69
+ dataset:
70
+ name: GPQA (0-shot)
71
+ type: Idavidrein/gpqa
72
+ args:
73
+ num_few_shot: 0
74
+ metrics:
75
+ - type: acc_norm
76
+ value: 0.0
77
+ name: acc_norm
78
+ source:
79
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-Chat-v1.0
80
+ name: Open LLM Leaderboard
81
+ - task:
82
+ type: text-generation
83
+ name: Text Generation
84
+ dataset:
85
+ name: MuSR (0-shot)
86
+ type: TAUR-Lab/MuSR
87
+ args:
88
+ num_few_shot: 0
89
+ metrics:
90
+ - type: acc_norm
91
+ value: 4.31
92
+ name: acc_norm
93
+ source:
94
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-Chat-v1.0
95
+ name: Open LLM Leaderboard
96
+ - task:
97
+ type: text-generation
98
+ name: Text Generation
99
+ dataset:
100
+ name: MMLU-PRO (5-shot)
101
+ type: TIGER-Lab/MMLU-Pro
102
+ config: main
103
+ split: test
104
+ args:
105
+ num_few_shot: 5
106
+ metrics:
107
+ - type: acc
108
+ value: 1.12
109
+ name: accuracy
110
+ source:
111
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-Chat-v1.0
112
+ name: Open LLM Leaderboard
113
  ---
114
  <div align="center">
115
 
 
159
  # How many helicopters can a human eat in one sitting?</s>
160
  # <|assistant|>
161
  # ...
162
+ ```
163
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
164
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_TinyLlama__TinyLlama-1.1B-Chat-v1.0)
165
+
166
+ | Metric |Value|
167
+ |-------------------|----:|
168
+ |Avg. | 2.71|
169
+ |IFEval (0-Shot) | 5.96|
170
+ |BBH (3-Shot) | 4.01|
171
+ |MATH Lvl 5 (4-Shot)| 0.83|
172
+ |GPQA (0-shot) | 0.00|
173
+ |MuSR (0-shot) | 4.31|
174
+ |MMLU-PRO (5-shot) | 1.12|
175
+