Pretergeek leaderboard-pr-bot commited on
Commit
012ebea
1 Parent(s): 37ad7ea

Adding Evaluation Results (#1)

Browse files

- Adding Evaluation Results (9e60d7aeb40d21d113768fc1b28ffdbbaa0ddb92)


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

Files changed (1) hide show
  1. README.md +109 -1
README.md CHANGED
@@ -1,5 +1,100 @@
1
  ---
2
  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  ---
4
 
5
  This model was created as an experiment on using LoRA extraction to replicate [Openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106) using [Mistral-7B-v0.2](https://huggingface.co/mistral-community/Mistral-7B-v0.2) as a base model instead of the original [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1).
@@ -12,4 +107,17 @@ Openchat-3.5-0106 is an excellent model but was based on Mistral-7B-v0.1 which h
12
  This is the result. This model is not meant for use, it was created to test if this method is viable for replacing the base model of fine-tuned models (when tokenizer and weights have not been changed too much). I am uploading here for evaluation. I don't expect this model to match the original OpenChat-3.5-0106 since I used a LoRA with rank 512, so it won't be equivalent to a full fine-tuning. I have been able to extract LoRAs with higher rank, but currently I don't have the resources to merge them with the model as the memory requirements exceed what I have at my disposal.
13
  If you would like to help my work, check my Ko-Fi and/or Patreon:
14
  * https://ko-fi.com/pretergeek
15
- * https://patreon.com/Pretergeek
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: apache-2.0
3
+ model-index:
4
+ - name: openchat-3.5-0106_Rebased_Mistral-7B-v0.2
5
+ results:
6
+ - task:
7
+ type: text-generation
8
+ name: Text Generation
9
+ dataset:
10
+ name: IFEval (0-Shot)
11
+ type: HuggingFaceH4/ifeval
12
+ args:
13
+ num_few_shot: 0
14
+ metrics:
15
+ - type: inst_level_strict_acc and prompt_level_strict_acc
16
+ value: 37.06
17
+ name: strict accuracy
18
+ source:
19
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Pretergeek/openchat-3.5-0106_Rebased_Mistral-7B-v0.2
20
+ name: Open LLM Leaderboard
21
+ - task:
22
+ type: text-generation
23
+ name: Text Generation
24
+ dataset:
25
+ name: BBH (3-Shot)
26
+ type: BBH
27
+ args:
28
+ num_few_shot: 3
29
+ metrics:
30
+ - type: acc_norm
31
+ value: 10.91
32
+ name: normalized accuracy
33
+ source:
34
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Pretergeek/openchat-3.5-0106_Rebased_Mistral-7B-v0.2
35
+ name: Open LLM Leaderboard
36
+ - task:
37
+ type: text-generation
38
+ name: Text Generation
39
+ dataset:
40
+ name: MATH Lvl 5 (4-Shot)
41
+ type: hendrycks/competition_math
42
+ args:
43
+ num_few_shot: 4
44
+ metrics:
45
+ - type: exact_match
46
+ value: 3.85
47
+ name: exact match
48
+ source:
49
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Pretergeek/openchat-3.5-0106_Rebased_Mistral-7B-v0.2
50
+ name: Open LLM Leaderboard
51
+ - task:
52
+ type: text-generation
53
+ name: Text Generation
54
+ dataset:
55
+ name: GPQA (0-shot)
56
+ type: Idavidrein/gpqa
57
+ args:
58
+ num_few_shot: 0
59
+ metrics:
60
+ - type: acc_norm
61
+ value: 2.91
62
+ name: acc_norm
63
+ source:
64
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Pretergeek/openchat-3.5-0106_Rebased_Mistral-7B-v0.2
65
+ name: Open LLM Leaderboard
66
+ - task:
67
+ type: text-generation
68
+ name: Text Generation
69
+ dataset:
70
+ name: MuSR (0-shot)
71
+ type: TAUR-Lab/MuSR
72
+ args:
73
+ num_few_shot: 0
74
+ metrics:
75
+ - type: acc_norm
76
+ value: 20.57
77
+ name: acc_norm
78
+ source:
79
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Pretergeek/openchat-3.5-0106_Rebased_Mistral-7B-v0.2
80
+ name: Open LLM Leaderboard
81
+ - task:
82
+ type: text-generation
83
+ name: Text Generation
84
+ dataset:
85
+ name: MMLU-PRO (5-shot)
86
+ type: TIGER-Lab/MMLU-Pro
87
+ config: main
88
+ split: test
89
+ args:
90
+ num_few_shot: 5
91
+ metrics:
92
+ - type: acc
93
+ value: 20.33
94
+ name: accuracy
95
+ source:
96
+ url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Pretergeek/openchat-3.5-0106_Rebased_Mistral-7B-v0.2
97
+ name: Open LLM Leaderboard
98
  ---
99
 
100
  This model was created as an experiment on using LoRA extraction to replicate [Openchat-3.5-0106](https://huggingface.co/openchat/openchat-3.5-0106) using [Mistral-7B-v0.2](https://huggingface.co/mistral-community/Mistral-7B-v0.2) as a base model instead of the original [Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1).
 
107
  This is the result. This model is not meant for use, it was created to test if this method is viable for replacing the base model of fine-tuned models (when tokenizer and weights have not been changed too much). I am uploading here for evaluation. I don't expect this model to match the original OpenChat-3.5-0106 since I used a LoRA with rank 512, so it won't be equivalent to a full fine-tuning. I have been able to extract LoRAs with higher rank, but currently I don't have the resources to merge them with the model as the memory requirements exceed what I have at my disposal.
108
  If you would like to help my work, check my Ko-Fi and/or Patreon:
109
  * https://ko-fi.com/pretergeek
110
+ * https://patreon.com/Pretergeek
111
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
112
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Pretergeek__openchat-3.5-0106_Rebased_Mistral-7B-v0.2)
113
+
114
+ | Metric |Value|
115
+ |-------------------|----:|
116
+ |Avg. |15.94|
117
+ |IFEval (0-Shot) |37.06|
118
+ |BBH (3-Shot) |10.91|
119
+ |MATH Lvl 5 (4-Shot)| 3.85|
120
+ |GPQA (0-shot) | 2.91|
121
+ |MuSR (0-shot) |20.57|
122
+ |MMLU-PRO (5-shot) |20.33|
123
+