Update README.md
Browse files
README.md
CHANGED
@@ -3,146 +3,135 @@ license: llama2
|
|
3 |
license_name: deepseek
|
4 |
license_link: LICENSE
|
5 |
datasets:
|
|
|
6 |
- ise-uiuc/Magicoder-Evol-Instruct-110K
|
7 |
library_name: transformers
|
8 |
pipeline_tag: text-generation
|
9 |
tags:
|
10 |
- code
|
11 |
model-index:
|
12 |
-
|
13 |
-
|
14 |
-
|
15 |
-
|
16 |
-
|
17 |
-
|
18 |
-
|
19 |
-
|
20 |
-
|
21 |
-
|
22 |
-
|
23 |
-
|
24 |
-
|
25 |
-
-
|
26 |
-
|
27 |
-
|
28 |
-
|
29 |
-
|
30 |
-
|
31 |
-
|
32 |
-
|
33 |
-
|
34 |
-
|
35 |
-
|
36 |
-
|
37 |
-
|
38 |
-
|
39 |
-
|
40 |
-
|
41 |
-
|
42 |
-
|
43 |
-
|
44 |
-
|
45 |
-
|
46 |
-
|
47 |
-
|
48 |
-
|
49 |
-
|
50 |
-
|
51 |
-
|
52 |
-
|
53 |
-
|
54 |
-
|
55 |
-
|
56 |
-
|
57 |
-
|
58 |
-
-
|
59 |
-
|
60 |
-
|
61 |
-
|
62 |
-
|
63 |
-
|
64 |
-
|
65 |
-
|
66 |
-
|
67 |
-
|
68 |
-
|
69 |
-
|
70 |
-
|
71 |
-
|
72 |
-
|
73 |
-
|
74 |
-
|
75 |
-
|
76 |
-
|
77 |
-
|
78 |
-
|
79 |
-
|
80 |
-
|
81 |
-
|
82 |
-
|
83 |
-
|
84 |
-
|
85 |
-
|
86 |
-
|
87 |
-
|
88 |
-
|
89 |
-
|
90 |
-
|
91 |
-
|
92 |
-
|
93 |
-
|
94 |
-
|
95 |
-
|
96 |
-
|
97 |
-
|
98 |
-
|
99 |
-
|
100 |
-
|
101 |
-
|
102 |
-
|
103 |
-
|
104 |
-
|
105 |
-
|
106 |
-
|
107 |
-
|
108 |
-
|
109 |
-
|
110 |
-
|
111 |
-
|
112 |
-
|
113 |
-
|
114 |
-
|
115 |
-
|
116 |
-
|
117 |
-
|
118 |
-
|
119 |
-
|
120 |
-
|
121 |
-
|
122 |
-
|
123 |
-
|
124 |
-
|
125 |
-
|
126 |
-
|
127 |
-
|
128 |
-
|
129 |
-
|
130 |
-
|
131 |
-
|
132 |
-
|
133 |
-
|
134 |
-
|
135 |
-
- task:
|
136 |
-
type: text-generation
|
137 |
-
dataset:
|
138 |
-
type: nuprl/MultiPL-E
|
139 |
-
name: MultiPL-HumanEval (Average for non-python languages)
|
140 |
-
metrics:
|
141 |
-
- name: pass@1
|
142 |
-
type: pass@1
|
143 |
-
value: 0.529
|
144 |
-
verified: false
|
145 |
-
|
146 |
---
|
147 |
<div align="center">
|
148 |
<img src="https://huggingface.co/wyt2000/InverseCoder-CL-7B/resolve/main/assets/logo.png" style="zoom:25%;" />
|
@@ -155,8 +144,7 @@ model-index:
|
|
155 |
InverseCoder is a series of code LLMs instruction-tuned by generating data from itself through Inverse-Instruct.
|
156 |
|
157 |
## Models
|
158 |
-
| | Base Model
|
159 |
-
| --- |
|
160 |
-
| 7B | [codellama/CodeLlama-7b-Python-hf](https://huggingface.co/codellama/CodeLlama-7b-Python-hf)
|
161 |
-
| 6.7B | [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) | [wyt2000/InverseCoder-DS-6.7B](https://huggingface.co/wyt2000/InverseCoder-DS-6.7B) |
|
162 |
-
|
|
|
3 |
license_name: deepseek
|
4 |
license_link: LICENSE
|
5 |
datasets:
|
6 |
+
- wyt2000/InverseCoder-CL-7B-Evol-Instruct-90K
|
7 |
- ise-uiuc/Magicoder-Evol-Instruct-110K
|
8 |
library_name: transformers
|
9 |
pipeline_tag: text-generation
|
10 |
tags:
|
11 |
- code
|
12 |
model-index:
|
13 |
+
- name: InverseCoder-CL-7B
|
14 |
+
results:
|
15 |
+
- task:
|
16 |
+
type: text-generation
|
17 |
+
dataset:
|
18 |
+
type: openai_humaneval
|
19 |
+
name: HumanEval
|
20 |
+
metrics:
|
21 |
+
- name: pass@1
|
22 |
+
type: pass@1
|
23 |
+
value: 0.762
|
24 |
+
verified: false
|
25 |
+
- task:
|
26 |
+
type: text-generation
|
27 |
+
dataset:
|
28 |
+
type: openai_humaneval
|
29 |
+
name: HumanEval(+)
|
30 |
+
metrics:
|
31 |
+
- name: pass@1
|
32 |
+
type: pass@1
|
33 |
+
value: 0.72
|
34 |
+
verified: false
|
35 |
+
- task:
|
36 |
+
type: text-generation
|
37 |
+
dataset:
|
38 |
+
type: mbpp
|
39 |
+
name: MBPP
|
40 |
+
metrics:
|
41 |
+
- name: pass@1
|
42 |
+
type: pass@1
|
43 |
+
value: 0.706
|
44 |
+
verified: false
|
45 |
+
- task:
|
46 |
+
type: text-generation
|
47 |
+
dataset:
|
48 |
+
type: mbpp
|
49 |
+
name: MBPP(+)
|
50 |
+
metrics:
|
51 |
+
- name: pass@1
|
52 |
+
type: pass@1
|
53 |
+
value: 0.601
|
54 |
+
verified: false
|
55 |
+
- task:
|
56 |
+
type: text-generation
|
57 |
+
dataset:
|
58 |
+
type: ds1000
|
59 |
+
name: DS-1000 (Overall Completion)
|
60 |
+
metrics:
|
61 |
+
- name: pass@1
|
62 |
+
type: pass@1
|
63 |
+
value: 0.399
|
64 |
+
verified: false
|
65 |
+
- task:
|
66 |
+
type: text-generation
|
67 |
+
dataset:
|
68 |
+
type: nuprl/MultiPL-E
|
69 |
+
name: MultiPL-HumanEval (Java)
|
70 |
+
metrics:
|
71 |
+
- name: pass@1
|
72 |
+
type: pass@1
|
73 |
+
value: 0.487
|
74 |
+
verified: false
|
75 |
+
- task:
|
76 |
+
type: text-generation
|
77 |
+
dataset:
|
78 |
+
type: nuprl/MultiPL-E
|
79 |
+
name: MultiPL-HumanEval (JavaScript)
|
80 |
+
metrics:
|
81 |
+
- name: pass@1
|
82 |
+
type: pass@1
|
83 |
+
value: 0.619
|
84 |
+
verified: false
|
85 |
+
- task:
|
86 |
+
type: text-generation
|
87 |
+
dataset:
|
88 |
+
type: nuprl/MultiPL-E
|
89 |
+
name: MultiPL-HumanEval (C++)
|
90 |
+
metrics:
|
91 |
+
- name: pass@1
|
92 |
+
type: pass@1
|
93 |
+
value: 0.526
|
94 |
+
verified: false
|
95 |
+
- task:
|
96 |
+
type: text-generation
|
97 |
+
dataset:
|
98 |
+
type: nuprl/MultiPL-E
|
99 |
+
name: MultiPL-HumanEval (PHP)
|
100 |
+
metrics:
|
101 |
+
- name: pass@1
|
102 |
+
type: pass@1
|
103 |
+
value: 0.552
|
104 |
+
verified: false
|
105 |
+
- task:
|
106 |
+
type: text-generation
|
107 |
+
dataset:
|
108 |
+
type: nuprl/MultiPL-E
|
109 |
+
name: MultiPL-HumanEval (Swift)
|
110 |
+
metrics:
|
111 |
+
- name: pass@1
|
112 |
+
type: pass@1
|
113 |
+
value: 0.53
|
114 |
+
verified: false
|
115 |
+
- task:
|
116 |
+
type: text-generation
|
117 |
+
dataset:
|
118 |
+
type: nuprl/MultiPL-E
|
119 |
+
name: MultiPL-HumanEval (Rust)
|
120 |
+
metrics:
|
121 |
+
- name: pass@1
|
122 |
+
type: pass@1
|
123 |
+
value: 0.461
|
124 |
+
verified: false
|
125 |
+
- task:
|
126 |
+
type: text-generation
|
127 |
+
dataset:
|
128 |
+
type: nuprl/MultiPL-E
|
129 |
+
name: MultiPL-HumanEval (Average for non-python languages)
|
130 |
+
metrics:
|
131 |
+
- name: pass@1
|
132 |
+
type: pass@1
|
133 |
+
value: 0.529
|
134 |
+
verified: false
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
135 |
---
|
136 |
<div align="center">
|
137 |
<img src="https://huggingface.co/wyt2000/InverseCoder-CL-7B/resolve/main/assets/logo.png" style="zoom:25%;" />
|
|
|
144 |
InverseCoder is a series of code LLMs instruction-tuned by generating data from itself through Inverse-Instruct.
|
145 |
|
146 |
## Models
|
147 |
+
| | Base Model | InverseCoder | Dataset |
|
148 |
+
| --- | ---------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ |
|
149 |
+
| 7B | [codellama/CodeLlama-7b-Python-hf](https://huggingface.co/codellama/CodeLlama-7b-Python-hf) | [wyt2000/InverseCoder-CL-7B](https://huggingface.co/wyt2000/InverseCoder-CL-7B) | [wyt2000/InverseCoder-CL-7B-Evol-Instruct-90K](https://huggingface.co/datasets/wyt2000/InverseCoder-DS-6.7B-Evol-Instruct-90K) |
|
150 |
+
| 6.7B | [deepseek-ai/deepseek-coder-6.7b-base](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-base) | [wyt2000/InverseCoder-DS-6.7B](https://huggingface.co/wyt2000/InverseCoder-DS-6.7B) | [wyt2000/InverseCoder-DS-6.7B-Evol-Instruct-90K](https://huggingface.co/datasets/wyt2000/InverseCoder-DS-6.7B-Evol-Instruct-90K) |
|
|