leaderboard-pr-bot commited on
Commit
184866e
1 Parent(s): c9c724d

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 +120 -4
README.md CHANGED
@@ -1,13 +1,116 @@
1
  ---
 
 
 
2
  library_name: transformers
3
  tags:
4
  - code
5
- license: gemma
6
  datasets:
7
  - LimYeri/LeetCode_with_Solutions
8
- language:
9
- - en
10
  pipeline_tag: text-generation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
  # CodeMind
@@ -109,4 +212,17 @@ print(result)
109
  ## Ethical Considerations
110
  - The model should be used as a supportive tool for learning and problem-solving, not as a substitute for human expertise and critical thinking.
111
  - Users should be aware that the model's responses are generated based on patterns in the training data and may not always be accurate, complete, or up to date.
112
- - The model should not be relied upon for making critical decisions or solving real-world problems without thorough validation and testing.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ language:
3
+ - en
4
+ license: gemma
5
  library_name: transformers
6
  tags:
7
  - code
 
8
  datasets:
9
  - LimYeri/LeetCode_with_Solutions
 
 
10
  pipeline_tag: text-generation
11
+ model-index:
12
+ - name: CodeMind-Gemma-7B-QLoRA-4bit
13
+ results:
14
+ - task:
15
+ type: text-generation
16
+ name: Text Generation
17
+ dataset:
18
+ name: AI2 Reasoning Challenge (25-Shot)
19
+ type: ai2_arc
20
+ config: ARC-Challenge
21
+ split: test
22
+ args:
23
+ num_few_shot: 25
24
+ metrics:
25
+ - type: acc_norm
26
+ value: 23.21
27
+ name: normalized accuracy
28
+ source:
29
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LimYeri/CodeMind-Gemma-7B-QLoRA-4bit
30
+ name: Open LLM Leaderboard
31
+ - task:
32
+ type: text-generation
33
+ name: Text Generation
34
+ dataset:
35
+ name: HellaSwag (10-Shot)
36
+ type: hellaswag
37
+ split: validation
38
+ args:
39
+ num_few_shot: 10
40
+ metrics:
41
+ - type: acc_norm
42
+ value: 31.17
43
+ name: normalized accuracy
44
+ source:
45
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LimYeri/CodeMind-Gemma-7B-QLoRA-4bit
46
+ name: Open LLM Leaderboard
47
+ - task:
48
+ type: text-generation
49
+ name: Text Generation
50
+ dataset:
51
+ name: MMLU (5-Shot)
52
+ type: cais/mmlu
53
+ config: all
54
+ split: test
55
+ args:
56
+ num_few_shot: 5
57
+ metrics:
58
+ - type: acc
59
+ value: 23.12
60
+ name: accuracy
61
+ source:
62
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LimYeri/CodeMind-Gemma-7B-QLoRA-4bit
63
+ name: Open LLM Leaderboard
64
+ - task:
65
+ type: text-generation
66
+ name: Text Generation
67
+ dataset:
68
+ name: TruthfulQA (0-shot)
69
+ type: truthful_qa
70
+ config: multiple_choice
71
+ split: validation
72
+ args:
73
+ num_few_shot: 0
74
+ metrics:
75
+ - type: mc2
76
+ value: 0.0
77
+ source:
78
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LimYeri/CodeMind-Gemma-7B-QLoRA-4bit
79
+ name: Open LLM Leaderboard
80
+ - task:
81
+ type: text-generation
82
+ name: Text Generation
83
+ dataset:
84
+ name: Winogrande (5-shot)
85
+ type: winogrande
86
+ config: winogrande_xl
87
+ split: validation
88
+ args:
89
+ num_few_shot: 5
90
+ metrics:
91
+ - type: acc
92
+ value: 60.3
93
+ name: accuracy
94
+ source:
95
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LimYeri/CodeMind-Gemma-7B-QLoRA-4bit
96
+ name: Open LLM Leaderboard
97
+ - task:
98
+ type: text-generation
99
+ name: Text Generation
100
+ dataset:
101
+ name: GSM8k (5-shot)
102
+ type: gsm8k
103
+ config: main
104
+ split: test
105
+ args:
106
+ num_few_shot: 5
107
+ metrics:
108
+ - type: acc
109
+ value: 0.0
110
+ name: accuracy
111
+ source:
112
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=LimYeri/CodeMind-Gemma-7B-QLoRA-4bit
113
+ name: Open LLM Leaderboard
114
  ---
115
 
116
  # CodeMind
 
212
  ## Ethical Considerations
213
  - The model should be used as a supportive tool for learning and problem-solving, not as a substitute for human expertise and critical thinking.
214
  - Users should be aware that the model's responses are generated based on patterns in the training data and may not always be accurate, complete, or up to date.
215
+ - The model should not be relied upon for making critical decisions or solving real-world problems without thorough validation and testing.
216
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
217
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_LimYeri__CodeMind-Gemma-7B-QLoRA-4bit)
218
+
219
+ | Metric |Value|
220
+ |---------------------------------|----:|
221
+ |Avg. |22.97|
222
+ |AI2 Reasoning Challenge (25-Shot)|23.21|
223
+ |HellaSwag (10-Shot) |31.17|
224
+ |MMLU (5-Shot) |23.12|
225
+ |TruthfulQA (0-shot) | 0.00|
226
+ |Winogrande (5-shot) |60.30|
227
+ |GSM8k (5-shot) | 0.00|
228
+