tcapelle leaderboard-pr-bot commited on
Commit
ee11076
1 Parent(s): 31ba7c6

Adding Evaluation Results (#1)

Browse files

- Adding Evaluation Results (133802f61cf468ad7d63e9337375250775f5cdb3)


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

Files changed (1) hide show
  1. README.md +117 -0
README.md CHANGED
@@ -6,6 +6,109 @@ datasets:
6
  base_model: google/gemma-2b
7
  license_name: gemma-terms-of-use
8
  license_link: https://ai.google.dev/gemma/terms
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
9
  ---
10
 
11
  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/llm_surgery/gemma-zephyr)
@@ -31,3 +134,17 @@ This model has the same license as the [original Gemma model collection](https:/
31
 
32
  ## Compute provided by Lambda Labs - 8xA100 80GB node
33
  - Around 2 hours to train
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
6
  base_model: google/gemma-2b
7
  license_name: gemma-terms-of-use
8
  license_link: https://ai.google.dev/gemma/terms
9
+ model-index:
10
+ - name: gemma-2b-zephyr-sft
11
+ results:
12
+ - task:
13
+ type: text-generation
14
+ name: Text Generation
15
+ dataset:
16
+ name: AI2 Reasoning Challenge (25-Shot)
17
+ type: ai2_arc
18
+ config: ARC-Challenge
19
+ split: test
20
+ args:
21
+ num_few_shot: 25
22
+ metrics:
23
+ - type: acc_norm
24
+ value: 49.74
25
+ name: normalized accuracy
26
+ source:
27
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=wandb/gemma-2b-zephyr-sft
28
+ name: Open LLM Leaderboard
29
+ - task:
30
+ type: text-generation
31
+ name: Text Generation
32
+ dataset:
33
+ name: HellaSwag (10-Shot)
34
+ type: hellaswag
35
+ split: validation
36
+ args:
37
+ num_few_shot: 10
38
+ metrics:
39
+ - type: acc_norm
40
+ value: 72.38
41
+ name: normalized accuracy
42
+ source:
43
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=wandb/gemma-2b-zephyr-sft
44
+ name: Open LLM Leaderboard
45
+ - task:
46
+ type: text-generation
47
+ name: Text Generation
48
+ dataset:
49
+ name: MMLU (5-Shot)
50
+ type: cais/mmlu
51
+ config: all
52
+ split: test
53
+ args:
54
+ num_few_shot: 5
55
+ metrics:
56
+ - type: acc
57
+ value: 41.37
58
+ name: accuracy
59
+ source:
60
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=wandb/gemma-2b-zephyr-sft
61
+ name: Open LLM Leaderboard
62
+ - task:
63
+ type: text-generation
64
+ name: Text Generation
65
+ dataset:
66
+ name: TruthfulQA (0-shot)
67
+ type: truthful_qa
68
+ config: multiple_choice
69
+ split: validation
70
+ args:
71
+ num_few_shot: 0
72
+ metrics:
73
+ - type: mc2
74
+ value: 34.42
75
+ source:
76
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=wandb/gemma-2b-zephyr-sft
77
+ name: Open LLM Leaderboard
78
+ - task:
79
+ type: text-generation
80
+ name: Text Generation
81
+ dataset:
82
+ name: Winogrande (5-shot)
83
+ type: winogrande
84
+ config: winogrande_xl
85
+ split: validation
86
+ args:
87
+ num_few_shot: 5
88
+ metrics:
89
+ - type: acc
90
+ value: 66.93
91
+ name: accuracy
92
+ source:
93
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=wandb/gemma-2b-zephyr-sft
94
+ name: Open LLM Leaderboard
95
+ - task:
96
+ type: text-generation
97
+ name: Text Generation
98
+ dataset:
99
+ name: GSM8k (5-shot)
100
+ type: gsm8k
101
+ config: main
102
+ split: test
103
+ args:
104
+ num_few_shot: 5
105
+ metrics:
106
+ - type: acc
107
+ value: 18.27
108
+ name: accuracy
109
+ source:
110
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=wandb/gemma-2b-zephyr-sft
111
+ name: Open LLM Leaderboard
112
  ---
113
 
114
  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/llm_surgery/gemma-zephyr)
 
134
 
135
  ## Compute provided by Lambda Labs - 8xA100 80GB node
136
  - Around 2 hours to train
137
+
138
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
139
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_wandb__gemma-2b-zephyr-sft)
140
+
141
+ | Metric |Value|
142
+ |---------------------------------|----:|
143
+ |Avg. |47.18|
144
+ |AI2 Reasoning Challenge (25-Shot)|49.74|
145
+ |HellaSwag (10-Shot) |72.38|
146
+ |MMLU (5-Shot) |41.37|
147
+ |TruthfulQA (0-shot) |34.42|
148
+ |Winogrande (5-shot) |66.93|
149
+ |GSM8k (5-shot) |18.27|
150
+