Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,112 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model:
|
3 |
+
- ReadyArt/Forgotten-Transgression-24B-v4.1
|
4 |
+
---
|
5 |
+
vllm (pretrained=/root/autodl-tmp/Forgotten-Transgression-24B-v4.1,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
|
6 |
+
|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
|
7 |
+
|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
|
8 |
+
|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.924|± |0.0168|
|
9 |
+
| | |strict-match | 5|exact_match|↑ |0.920|± |0.0172|
|
10 |
+
|
11 |
+
vllm (pretrained=/root/autodl-tmp/Forgotten-Transgression-24B-v4.1,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
|
12 |
+
|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
|
13 |
+
|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
|
14 |
+
|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.922|± |0.0120|
|
15 |
+
| | |strict-match | 5|exact_match|↑ |0.914|± |0.0126|
|
16 |
+
|
17 |
+
vllm (pretrained=/root/autodl-tmp/Forgotten-Transgression-24B-v4.1,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
|
18 |
+
| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
|
19 |
+
|------------------|------:|------|------|------|---|-----:|---|-----:|
|
20 |
+
|mmlu | 2|none | |acc |↑ |0.8012|± |0.0129|
|
21 |
+
| - humanities | 2|none | |acc |↑ |0.8205|± |0.0253|
|
22 |
+
| - other | 2|none | |acc |↑ |0.8103|± |0.0269|
|
23 |
+
| - social sciences| 2|none | |acc |↑ |0.8667|± |0.0246|
|
24 |
+
| - stem | 2|none | |acc |↑ |0.7404|± |0.0248|
|
25 |
+
|
26 |
+
|
27 |
+
vllm (pretrained=/root/autodl-tmp/85-512,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
|
28 |
+
|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
|
29 |
+
|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
|
30 |
+
|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.908|± |0.0183|
|
31 |
+
| | |strict-match | 5|exact_match|↑ |0.904|± |0.0187|
|
32 |
+
|
33 |
+
vllm (pretrained=/root/autodl-tmp/85-512,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
|
34 |
+
|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
|
35 |
+
|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
|
36 |
+
|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.902|± |0.0133|
|
37 |
+
| | |strict-match | 5|exact_match|↑ |0.894|± |0.0138|
|
38 |
+
|
39 |
+
vllm (pretrained=/root/autodl-tmp/85-512,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
|
40 |
+
| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
|
41 |
+
|------------------|------:|------|------|------|---|-----:|---|-----:|
|
42 |
+
|mmlu | 2|none | |acc |↑ |0.8000|± |0.0130|
|
43 |
+
| - humanities | 2|none | |acc |↑ |0.8205|± |0.0255|
|
44 |
+
| - other | 2|none | |acc |↑ |0.8051|± |0.0276|
|
45 |
+
| - social sciences| 2|none | |acc |↑ |0.8667|± |0.0246|
|
46 |
+
| - stem | 2|none | |acc |↑ |0.7404|± |0.0247|
|
47 |
+
|
48 |
+
|
49 |
+
vllm (pretrained=/root/autodl-tmp/857-512,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
|
50 |
+
|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
|
51 |
+
|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
|
52 |
+
|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.904|± |0.0187|
|
53 |
+
| | |strict-match | 5|exact_match|↑ |0.904|± |0.0187|
|
54 |
+
|
55 |
+
vllm (pretrained=/root/autodl-tmp/857-512,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
|
56 |
+
|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
|
57 |
+
|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
|
58 |
+
|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.896|± |0.0137|
|
59 |
+
| | |strict-match | 5|exact_match|↑ |0.892|± |0.0139|
|
60 |
+
|
61 |
+
vllm (pretrained=/root/autodl-tmp/857-512,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
|
62 |
+
| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
|
63 |
+
|------------------|------:|------|------|------|---|-----:|---|-----:|
|
64 |
+
|mmlu | 2|none | |acc |↑ |0.7942|± |0.0130|
|
65 |
+
| - humanities | 2|none | |acc |↑ |0.8308|± |0.0254|
|
66 |
+
| - other | 2|none | |acc |↑ |0.7897|± |0.0278|
|
67 |
+
| - social sciences| 2|none | |acc |↑ |0.8667|± |0.0245|
|
68 |
+
| - stem | 2|none | |acc |↑ |0.7263|± |0.0249|
|
69 |
+
|
70 |
+
|
71 |
+
vllm (pretrained=/root/autodl-tmp/86-512,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
|
72 |
+
|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
|
73 |
+
|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
|
74 |
+
|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.916|± |0.0176|
|
75 |
+
| | |strict-match | 5|exact_match|↑ |0.912|± |0.0180|
|
76 |
+
|
77 |
+
vllm (pretrained=/root/autodl-tmp/86-512,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
|
78 |
+
|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
|
79 |
+
|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
|
80 |
+
|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.914|± |0.0126|
|
81 |
+
| | |strict-match | 5|exact_match|↑ |0.902|± |0.0133|
|
82 |
+
|
83 |
+
vllm (pretrained=/root/autodl-tmp/86-512,add_bos_token=true,max_model_len=4096,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
|
84 |
+
| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
|
85 |
+
|------------------|------:|------|------|------|---|-----:|---|-----:|
|
86 |
+
|mmlu | 2|none | |acc |↑ |0.8012|± |0.0129|
|
87 |
+
| - humanities | 2|none | |acc |↑ |0.8462|± |0.0244|
|
88 |
+
| - other | 2|none | |acc |↑ |0.8051|± |0.0269|
|
89 |
+
| - social sciences| 2|none | |acc |↑ |0.8667|± |0.0249|
|
90 |
+
| - stem | 2|none | |acc |↑ |0.7263|± |0.0253|
|
91 |
+
|
92 |
+
|
93 |
+
vllm (pretrained=/root/autodl-tmp/863-512,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 250.0, num_fewshot: 5, batch_size: auto
|
94 |
+
|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
|
95 |
+
|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
|
96 |
+
|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.908|± |0.0183|
|
97 |
+
| | |strict-match | 5|exact_match|↑ |0.896|± |0.0193|
|
98 |
+
|
99 |
+
vllm (pretrained=/root/autodl-tmp/863-512,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 500.0, num_fewshot: 5, batch_size: auto
|
100 |
+
|Tasks|Version| Filter |n-shot| Metric | |Value| |Stderr|
|
101 |
+
|-----|------:|----------------|-----:|-----------|---|----:|---|-----:|
|
102 |
+
|gsm8k| 3|flexible-extract| 5|exact_match|↑ |0.906|± |0.0131|
|
103 |
+
| | |strict-match | 5|exact_match|↑ |0.892|± |0.0139|
|
104 |
+
|
105 |
+
vllm (pretrained=/root/autodl-tmp/863-512,add_bos_token=true,max_model_len=3096,dtype=bfloat16), gen_kwargs: (None), limit: 15.0, num_fewshot: None, batch_size: 1
|
106 |
+
| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
|
107 |
+
|------------------|------:|------|------|------|---|-----:|---|-----:|
|
108 |
+
|mmlu | 2|none | |acc |↑ |0.7988|± |0.0130|
|
109 |
+
| - humanities | 2|none | |acc |↑ |0.8308|± |0.0259|
|
110 |
+
| - other | 2|none | |acc |↑ |0.8205|± |0.0261|
|
111 |
+
| - social sciences| 2|none | |acc |↑ |0.8611|± |0.0244|
|
112 |
+
| - stem | 2|none | |acc |↑ |0.7228|± |0.0253|
|