leaderboard-pr-bot commited on
Commit
551c391
1 Parent(s): 4610e3f

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 +117 -1
README.md CHANGED
@@ -15,6 +15,109 @@ base_model:
15
  - Locutusque/TinyMistral-248M-Instruct
16
  - jtatman/tinymistral-v2-pycoder-instuct-248m
17
  - Locutusque/TinyMistral-248M-v2-Instruct
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
18
  ---
19
 
20
  # TinyMistral-248Mx4-MOE
@@ -132,4 +235,17 @@ messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in
132
  prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
133
  outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
134
  print(outputs[0]["generated_text"])
135
- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
15
  - Locutusque/TinyMistral-248M-Instruct
16
  - jtatman/tinymistral-v2-pycoder-instuct-248m
17
  - Locutusque/TinyMistral-248M-v2-Instruct
18
+ model-index:
19
+ - name: TinyMistral-248Mx4-MOE
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: 29.52
34
+ name: normalized accuracy
35
+ source:
36
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=222gate/TinyMistral-248Mx4-MOE
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: 25.71
50
+ name: normalized accuracy
51
+ source:
52
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=222gate/TinyMistral-248Mx4-MOE
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: 24.82
67
+ name: accuracy
68
+ source:
69
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=222gate/TinyMistral-248Mx4-MOE
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: 48.66
84
+ source:
85
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=222gate/TinyMistral-248Mx4-MOE
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: 51.78
100
+ name: accuracy
101
+ source:
102
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=222gate/TinyMistral-248Mx4-MOE
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: 0.0
117
+ name: accuracy
118
+ source:
119
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=222gate/TinyMistral-248Mx4-MOE
120
+ name: Open LLM Leaderboard
121
  ---
122
 
123
  # TinyMistral-248Mx4-MOE
 
235
  prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
236
  outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
237
  print(outputs[0]["generated_text"])
238
+ ```
239
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
240
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_222gate__TinyMistral-248Mx4-MOE)
241
+
242
+ | Metric |Value|
243
+ |---------------------------------|----:|
244
+ |Avg. |30.08|
245
+ |AI2 Reasoning Challenge (25-Shot)|29.52|
246
+ |HellaSwag (10-Shot) |25.71|
247
+ |MMLU (5-Shot) |24.82|
248
+ |TruthfulQA (0-shot) |48.66|
249
+ |Winogrande (5-shot) |51.78|
250
+ |GSM8k (5-shot) | 0.00|
251
+