Files changed (1) hide show
  1. README.md +109 -0
README.md CHANGED
@@ -6,6 +6,101 @@ base_model:
6
  datasets:
7
  - jondurbin/gutenberg-dpo-v0.1
8
  - nbeerbower/gutenberg2-dpo
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
  ---
10
  ![image/png](https://huggingface.co/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B/resolve/main/doppel-header?download=true)
11
 
@@ -20,3 +115,17 @@ Features an increased sequence length from Lyra4-Gutenberg-12B.
20
  [ORPO Finetuned](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html) using 2x RTX 3090 for 3 epochs.
21
 
22
  Training data was formatted with ChatML.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6
  datasets:
7
  - jondurbin/gutenberg-dpo-v0.1
8
  - nbeerbower/gutenberg2-dpo
9
+ model-index:
10
+ - name: Lyra4-Gutenberg2-12B
11
+ results:
12
+ - task:
13
+ type: text-generation
14
+ name: Text Generation
15
+ dataset:
16
+ name: IFEval (0-Shot)
17
+ type: HuggingFaceH4/ifeval
18
+ args:
19
+ num_few_shot: 0
20
+ metrics:
21
+ - type: inst_level_strict_acc and prompt_level_strict_acc
22
+ value: 25.85
23
+ name: strict accuracy
24
+ source:
25
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Lyra4-Gutenberg2-12B
26
+ name: Open LLM Leaderboard
27
+ - task:
28
+ type: text-generation
29
+ name: Text Generation
30
+ dataset:
31
+ name: BBH (3-Shot)
32
+ type: BBH
33
+ args:
34
+ num_few_shot: 3
35
+ metrics:
36
+ - type: acc_norm
37
+ value: 33.73
38
+ name: normalized accuracy
39
+ source:
40
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Lyra4-Gutenberg2-12B
41
+ name: Open LLM Leaderboard
42
+ - task:
43
+ type: text-generation
44
+ name: Text Generation
45
+ dataset:
46
+ name: MATH Lvl 5 (4-Shot)
47
+ type: hendrycks/competition_math
48
+ args:
49
+ num_few_shot: 4
50
+ metrics:
51
+ - type: exact_match
52
+ value: 10.5
53
+ name: exact match
54
+ source:
55
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Lyra4-Gutenberg2-12B
56
+ name: Open LLM Leaderboard
57
+ - task:
58
+ type: text-generation
59
+ name: Text Generation
60
+ dataset:
61
+ name: GPQA (0-shot)
62
+ type: Idavidrein/gpqa
63
+ args:
64
+ num_few_shot: 0
65
+ metrics:
66
+ - type: acc_norm
67
+ value: 8.39
68
+ name: acc_norm
69
+ source:
70
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Lyra4-Gutenberg2-12B
71
+ name: Open LLM Leaderboard
72
+ - task:
73
+ type: text-generation
74
+ name: Text Generation
75
+ dataset:
76
+ name: MuSR (0-shot)
77
+ type: TAUR-Lab/MuSR
78
+ args:
79
+ num_few_shot: 0
80
+ metrics:
81
+ - type: acc_norm
82
+ value: 11.49
83
+ name: acc_norm
84
+ source:
85
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Lyra4-Gutenberg2-12B
86
+ name: Open LLM Leaderboard
87
+ - task:
88
+ type: text-generation
89
+ name: Text Generation
90
+ dataset:
91
+ name: MMLU-PRO (5-shot)
92
+ type: TIGER-Lab/MMLU-Pro
93
+ config: main
94
+ split: test
95
+ args:
96
+ num_few_shot: 5
97
+ metrics:
98
+ - type: acc
99
+ value: 28.51
100
+ name: accuracy
101
+ source:
102
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Lyra4-Gutenberg2-12B
103
+ name: Open LLM Leaderboard
104
  ---
105
  ![image/png](https://huggingface.co/nbeerbower/Mistral-Small-Gutenberg-Doppel-22B/resolve/main/doppel-header?download=true)
106
 
 
115
  [ORPO Finetuned](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html) using 2x RTX 3090 for 3 epochs.
116
 
117
  Training data was formatted with ChatML.
118
+
119
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
120
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_nbeerbower__Lyra4-Gutenberg2-12B)
121
+
122
+ | Metric |Value|
123
+ |-------------------|----:|
124
+ |Avg. |19.74|
125
+ |IFEval (0-Shot) |25.85|
126
+ |BBH (3-Shot) |33.73|
127
+ |MATH Lvl 5 (4-Shot)|10.50|
128
+ |GPQA (0-shot) | 8.39|
129
+ |MuSR (0-shot) |11.49|
130
+ |MMLU-PRO (5-shot) |28.51|
131
+