bedio leaderboard-pr-bot commited on
Commit
f93746d
1 Parent(s): 0f04c5a

Adding Evaluation Results (#1)

Browse files

- Adding Evaluation Results (4b12ef1f75feb02327ab04ec75e2e7e11a0f7c30)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

Files changed (1) hide show
  1. README.md +109 -1
README.md CHANGED
@@ -1,6 +1,101 @@
1
  ---
2
  library_name: transformers
3
  tags: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
4
  ---
5
 
6
  # Model Card for Model ID
@@ -196,4 +291,17 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
196
 
197
  ## Model Card Contact
198
 
199
- [More Information Needed]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  library_name: transformers
3
  tags: []
4
+ model-index:
5
+ - name: ldm_soup_Llama-3.1-8B-Inst
6
+ results:
7
+ - task:
8
+ type: text-generation
9
+ name: Text Generation
10
+ dataset:
11
+ name: IFEval (0-Shot)
12
+ type: HuggingFaceH4/ifeval
13
+ args:
14
+ num_few_shot: 0
15
+ metrics:
16
+ - type: inst_level_strict_acc and prompt_level_strict_acc
17
+ value: 80.33
18
+ name: strict accuracy
19
+ source:
20
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst
21
+ name: Open LLM Leaderboard
22
+ - task:
23
+ type: text-generation
24
+ name: Text Generation
25
+ dataset:
26
+ name: BBH (3-Shot)
27
+ type: BBH
28
+ args:
29
+ num_few_shot: 3
30
+ metrics:
31
+ - type: acc_norm
32
+ value: 31.1
33
+ name: normalized accuracy
34
+ source:
35
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst
36
+ name: Open LLM Leaderboard
37
+ - task:
38
+ type: text-generation
39
+ name: Text Generation
40
+ dataset:
41
+ name: MATH Lvl 5 (4-Shot)
42
+ type: hendrycks/competition_math
43
+ args:
44
+ num_few_shot: 4
45
+ metrics:
46
+ - type: exact_match
47
+ value: 11.56
48
+ name: exact match
49
+ source:
50
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst
51
+ name: Open LLM Leaderboard
52
+ - task:
53
+ type: text-generation
54
+ name: Text Generation
55
+ dataset:
56
+ name: GPQA (0-shot)
57
+ type: Idavidrein/gpqa
58
+ args:
59
+ num_few_shot: 0
60
+ metrics:
61
+ - type: acc_norm
62
+ value: 5.26
63
+ name: acc_norm
64
+ source:
65
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst
66
+ name: Open LLM Leaderboard
67
+ - task:
68
+ type: text-generation
69
+ name: Text Generation
70
+ dataset:
71
+ name: MuSR (0-shot)
72
+ type: TAUR-Lab/MuSR
73
+ args:
74
+ num_few_shot: 0
75
+ metrics:
76
+ - type: acc_norm
77
+ value: 11.52
78
+ name: acc_norm
79
+ source:
80
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst
81
+ name: Open LLM Leaderboard
82
+ - task:
83
+ type: text-generation
84
+ name: Text Generation
85
+ dataset:
86
+ name: MMLU-PRO (5-shot)
87
+ type: TIGER-Lab/MMLU-Pro
88
+ config: main
89
+ split: test
90
+ args:
91
+ num_few_shot: 5
92
+ metrics:
93
+ - type: acc
94
+ value: 32.07
95
+ name: accuracy
96
+ source:
97
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DeepAutoAI/ldm_soup_Llama-3.1-8B-Inst
98
+ name: Open LLM Leaderboard
99
  ---
100
 
101
  # Model Card for Model ID
 
291
 
292
  ## Model Card Contact
293
 
294
+ [More Information Needed]
295
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
296
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_DeepAutoAI__ldm_soup_Llama-3.1-8B-Inst)
297
+
298
+ | Metric |Value|
299
+ |-------------------|----:|
300
+ |Avg. |28.64|
301
+ |IFEval (0-Shot) |80.33|
302
+ |BBH (3-Shot) |31.10|
303
+ |MATH Lvl 5 (4-Shot)|11.56|
304
+ |GPQA (0-shot) | 5.26|
305
+ |MuSR (0-shot) |11.52|
306
+ |MMLU-PRO (5-shot) |32.07|
307
+