PEFT
code
instruct
falcon
Files changed (1) hide show
  1. README.md +118 -2
README.md CHANGED
@@ -1,4 +1,5 @@
1
  ---
 
2
  library_name: peft
3
  tags:
4
  - code
@@ -7,7 +8,109 @@ tags:
7
  datasets:
8
  - HuggingFaceH4/no_robots
9
  base_model: tiiuae/falcon-7b
10
- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
  ### Finetuning Overview:
@@ -49,4 +152,17 @@ With the utilization of [MonsterAPI](https://monsterapi.ai)'s [LLM finetuner](ht
49
 
50
  ![training loss](https://cdn-uploads.huggingface.co/production/uploads/63ba46aa0a9866b28cb19a14/6UJaDVRXBjV5Zq_xn_MGe.png)
51
 
52
- license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ license: apache-2.0
3
  library_name: peft
4
  tags:
5
  - code
 
8
  datasets:
9
  - HuggingFaceH4/no_robots
10
  base_model: tiiuae/falcon-7b
11
+ model-index:
12
+ - name: falcon_7b_norobots
13
+ results:
14
+ - task:
15
+ type: text-generation
16
+ name: Text Generation
17
+ dataset:
18
+ name: AI2 Reasoning Challenge (25-Shot)
19
+ type: ai2_arc
20
+ config: ARC-Challenge
21
+ split: test
22
+ args:
23
+ num_few_shot: 25
24
+ metrics:
25
+ - type: acc_norm
26
+ value: 47.87
27
+ name: normalized accuracy
28
+ source:
29
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=qblocks/falcon_7b_norobots
30
+ name: Open LLM Leaderboard
31
+ - task:
32
+ type: text-generation
33
+ name: Text Generation
34
+ dataset:
35
+ name: HellaSwag (10-Shot)
36
+ type: hellaswag
37
+ split: validation
38
+ args:
39
+ num_few_shot: 10
40
+ metrics:
41
+ - type: acc_norm
42
+ value: 77.92
43
+ name: normalized accuracy
44
+ source:
45
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=qblocks/falcon_7b_norobots
46
+ name: Open LLM Leaderboard
47
+ - task:
48
+ type: text-generation
49
+ name: Text Generation
50
+ dataset:
51
+ name: MMLU (5-Shot)
52
+ type: cais/mmlu
53
+ config: all
54
+ split: test
55
+ args:
56
+ num_few_shot: 5
57
+ metrics:
58
+ - type: acc
59
+ value: 27.94
60
+ name: accuracy
61
+ source:
62
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=qblocks/falcon_7b_norobots
63
+ name: Open LLM Leaderboard
64
+ - task:
65
+ type: text-generation
66
+ name: Text Generation
67
+ dataset:
68
+ name: TruthfulQA (0-shot)
69
+ type: truthful_qa
70
+ config: multiple_choice
71
+ split: validation
72
+ args:
73
+ num_few_shot: 0
74
+ metrics:
75
+ - type: mc2
76
+ value: 36.81
77
+ source:
78
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=qblocks/falcon_7b_norobots
79
+ name: Open LLM Leaderboard
80
+ - task:
81
+ type: text-generation
82
+ name: Text Generation
83
+ dataset:
84
+ name: Winogrande (5-shot)
85
+ type: winogrande
86
+ config: winogrande_xl
87
+ split: validation
88
+ args:
89
+ num_few_shot: 5
90
+ metrics:
91
+ - type: acc
92
+ value: 71.74
93
+ name: accuracy
94
+ source:
95
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=qblocks/falcon_7b_norobots
96
+ name: Open LLM Leaderboard
97
+ - task:
98
+ type: text-generation
99
+ name: Text Generation
100
+ dataset:
101
+ name: GSM8k (5-shot)
102
+ type: gsm8k
103
+ config: main
104
+ split: test
105
+ args:
106
+ num_few_shot: 5
107
+ metrics:
108
+ - type: acc
109
+ value: 4.47
110
+ name: accuracy
111
+ source:
112
+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=qblocks/falcon_7b_norobots
113
+ name: Open LLM Leaderboard
114
  ---
115
 
116
  ### Finetuning Overview:
 
152
 
153
  ![training loss](https://cdn-uploads.huggingface.co/production/uploads/63ba46aa0a9866b28cb19a14/6UJaDVRXBjV5Zq_xn_MGe.png)
154
 
155
+ license: apache-2.0
156
+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
157
+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_qblocks__falcon_7b_norobots)
158
+
159
+ | Metric |Value|
160
+ |---------------------------------|----:|
161
+ |Avg. |44.46|
162
+ |AI2 Reasoning Challenge (25-Shot)|47.87|
163
+ |HellaSwag (10-Shot) |77.92|
164
+ |MMLU (5-Shot) |27.94|
165
+ |TruthfulQA (0-shot) |36.81|
166
+ |Winogrande (5-shot) |71.74|
167
+ |GSM8k (5-shot) | 4.47|
168
+