Steelskull leaderboard-pr-bot commited on
Commit
e5dd0dd
1 Parent(s): c3db2c1

Adding Evaluation Results (#2)

Browse files

- Adding Evaluation Results (6c165b5702fde0faea87ae28c37fbf235ec6015a)


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

Files changed (1) hide show
  1. README.md +117 -1
README.md CHANGED
@@ -1,5 +1,108 @@
1
  ---
2
  license: llama3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  ---
4
 
5
  <!DOCTYPE html>
@@ -144,4 +247,17 @@ In humans, protist diseases are caused by protozoa.< / s ><|end_of_text|></code>
144
  </div>
145
  </div>
146
  </body>
147
- </html>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: llama3
3
+ model-index:
4
+ - name: llama-3-cat-8b-instruct-v1
5
+ results:
6
+ - task:
7
+ type: text-generation
8
+ name: Text Generation
9
+ dataset:
10
+ name: AI2 Reasoning Challenge (25-Shot)
11
+ type: ai2_arc
12
+ config: ARC-Challenge
13
+ split: test
14
+ args:
15
+ num_few_shot: 25
16
+ metrics:
17
+ - type: acc_norm
18
+ value: 59.04
19
+ name: normalized accuracy
20
+ source:
21
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheSkullery/llama-3-cat-8b-instruct-v1
22
+ name: Open LLM Leaderboard
23
+ - task:
24
+ type: text-generation
25
+ name: Text Generation
26
+ dataset:
27
+ name: HellaSwag (10-Shot)
28
+ type: hellaswag
29
+ split: validation
30
+ args:
31
+ num_few_shot: 10
32
+ metrics:
33
+ - type: acc_norm
34
+ value: 79.2
35
+ name: normalized accuracy
36
+ source:
37
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheSkullery/llama-3-cat-8b-instruct-v1
38
+ name: Open LLM Leaderboard
39
+ - task:
40
+ type: text-generation
41
+ name: Text Generation
42
+ dataset:
43
+ name: MMLU (5-Shot)
44
+ type: cais/mmlu
45
+ config: all
46
+ split: test
47
+ args:
48
+ num_few_shot: 5
49
+ metrics:
50
+ - type: acc
51
+ value: 62.99
52
+ name: accuracy
53
+ source:
54
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheSkullery/llama-3-cat-8b-instruct-v1
55
+ name: Open LLM Leaderboard
56
+ - task:
57
+ type: text-generation
58
+ name: Text Generation
59
+ dataset:
60
+ name: TruthfulQA (0-shot)
61
+ type: truthful_qa
62
+ config: multiple_choice
63
+ split: validation
64
+ args:
65
+ num_few_shot: 0
66
+ metrics:
67
+ - type: mc2
68
+ value: 50.8
69
+ source:
70
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheSkullery/llama-3-cat-8b-instruct-v1
71
+ name: Open LLM Leaderboard
72
+ - task:
73
+ type: text-generation
74
+ name: Text Generation
75
+ dataset:
76
+ name: Winogrande (5-shot)
77
+ type: winogrande
78
+ config: winogrande_xl
79
+ split: validation
80
+ args:
81
+ num_few_shot: 5
82
+ metrics:
83
+ - type: acc
84
+ value: 75.93
85
+ name: accuracy
86
+ source:
87
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheSkullery/llama-3-cat-8b-instruct-v1
88
+ name: Open LLM Leaderboard
89
+ - task:
90
+ type: text-generation
91
+ name: Text Generation
92
+ dataset:
93
+ name: GSM8k (5-shot)
94
+ type: gsm8k
95
+ config: main
96
+ split: test
97
+ args:
98
+ num_few_shot: 5
99
+ metrics:
100
+ - type: acc
101
+ value: 60.5
102
+ name: accuracy
103
+ source:
104
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TheSkullery/llama-3-cat-8b-instruct-v1
105
+ name: Open LLM Leaderboard
106
  ---
107
 
108
  <!DOCTYPE html>
 
247
  </div>
248
  </div>
249
  </body>
250
+ </html>
251
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
252
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_TheSkullery__llama-3-cat-8b-instruct-v1)
253
+
254
+ | Metric |Value|
255
+ |---------------------------------|----:|
256
+ |Avg. |64.74|
257
+ |AI2 Reasoning Challenge (25-Shot)|59.04|
258
+ |HellaSwag (10-Shot) |79.20|
259
+ |MMLU (5-Shot) |62.99|
260
+ |TruthfulQA (0-shot) |50.80|
261
+ |Winogrande (5-shot) |75.93|
262
+ |GSM8k (5-shot) |60.50|
263
+