Adding Evaluation Results

#32
Files changed (1) hide show
  1. README.md +126 -9
README.md CHANGED
@@ -1,19 +1,123 @@
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 +167,17 @@ 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: AI2 Reasoning Challenge (25-Shot)
26
+ type: ai2_arc
27
+ config: ARC-Challenge
28
+ split: test
29
+ args:
30
+ num_few_shot: 25
31
+ metrics:
32
+ - type: acc_norm
33
+ value: 36.09
34
+ name: normalized accuracy
35
+ source:
36
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-Chat-v1.0
37
+ name: Open LLM Leaderboard
38
+ - task:
39
+ type: text-generation
40
+ name: Text Generation
41
+ dataset:
42
+ name: HellaSwag (10-Shot)
43
+ type: hellaswag
44
+ split: validation
45
+ args:
46
+ num_few_shot: 10
47
+ metrics:
48
+ - type: acc_norm
49
+ value: 61.1
50
+ name: normalized accuracy
51
+ source:
52
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-Chat-v1.0
53
+ name: Open LLM Leaderboard
54
+ - task:
55
+ type: text-generation
56
+ name: Text Generation
57
+ dataset:
58
+ name: MMLU (5-Shot)
59
+ type: cais/mmlu
60
+ config: all
61
+ split: test
62
+ args:
63
+ num_few_shot: 5
64
+ metrics:
65
+ - type: acc
66
+ value: 25.39
67
+ name: accuracy
68
+ source:
69
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-Chat-v1.0
70
+ name: Open LLM Leaderboard
71
+ - task:
72
+ type: text-generation
73
+ name: Text Generation
74
+ dataset:
75
+ name: TruthfulQA (0-shot)
76
+ type: truthful_qa
77
+ config: multiple_choice
78
+ split: validation
79
+ args:
80
+ num_few_shot: 0
81
+ metrics:
82
+ - type: mc2
83
+ value: 37.48
84
+ source:
85
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-Chat-v1.0
86
+ name: Open LLM Leaderboard
87
+ - task:
88
+ type: text-generation
89
+ name: Text Generation
90
+ dataset:
91
+ name: Winogrande (5-shot)
92
+ type: winogrande
93
+ config: winogrande_xl
94
+ split: validation
95
+ args:
96
+ num_few_shot: 5
97
+ metrics:
98
+ - type: acc
99
+ value: 61.25
100
+ name: accuracy
101
+ source:
102
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-Chat-v1.0
103
+ name: Open LLM Leaderboard
104
+ - task:
105
+ type: text-generation
106
+ name: Text Generation
107
+ dataset:
108
+ name: GSM8k (5-shot)
109
+ type: gsm8k
110
+ config: main
111
+ split: test
112
+ args:
113
+ num_few_shot: 5
114
+ metrics:
115
+ - type: acc
116
+ value: 2.35
117
+ name: accuracy
118
+ source:
119
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TinyLlama/TinyLlama-1.1B-Chat-v1.0
120
+ name: Open LLM Leaderboard
121
  ---
122
  <div align="center">
123
 
 
167
  # How many helicopters can a human eat in one sitting?</s>
168
  # <|assistant|>
169
  # ...
170
+ ```
171
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
172
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_TinyLlama__TinyLlama-1.1B-Chat-v1.0)
173
+
174
+ | Metric |Value|
175
+ |---------------------------------|----:|
176
+ |Avg. |37.28|
177
+ |AI2 Reasoning Challenge (25-Shot)|36.09|
178
+ |HellaSwag (10-Shot) |61.10|
179
+ |MMLU (5-Shot) |25.39|
180
+ |TruthfulQA (0-shot) |37.48|
181
+ |Winogrande (5-shot) |61.25|
182
+ |GSM8k (5-shot) | 2.35|
183
+