Upload results for model meta-llama/Meta-Llama-3.1-70B-Instruct
#697
by
ggbetz
- opened
data/meta-llama/Meta-Llama-3.1-70B-Instruct/cot/24-09-09-19:06:49_idx20/meta-llama__Meta-Llama-3.1-70B-Instruct/results_2024-09-09T21-47-07.178561.json
ADDED
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1 |
+
{
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2 |
+
"results": {
|
3 |
+
"quisquam-ipsum-3658_lsat-rc_cot": {
|
4 |
+
"acc,none": 0.828996282527881,
|
5 |
+
"acc_stderr,none": 0.022999143890850983,
|
6 |
+
"alias": "quisquam-ipsum-3658_lsat-rc_cot"
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7 |
+
},
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8 |
+
"quisquam-ipsum-3658_lsat-lr_cot": {
|
9 |
+
"acc,none": 0.7784313725490196,
|
10 |
+
"acc_stderr,none": 0.018407949229981378,
|
11 |
+
"alias": "quisquam-ipsum-3658_lsat-lr_cot"
|
12 |
+
},
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13 |
+
"quisquam-ipsum-3658_lsat-ar_cot": {
|
14 |
+
"acc,none": 0.2391304347826087,
|
15 |
+
"acc_stderr,none": 0.02818738529393395,
|
16 |
+
"alias": "quisquam-ipsum-3658_lsat-ar_cot"
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17 |
+
},
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18 |
+
"quisquam-ipsum-3658_logiqa_cot": {
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19 |
+
"acc,none": 0.4680511182108626,
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20 |
+
"acc_stderr,none": 0.019959128997125028,
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21 |
+
"alias": "quisquam-ipsum-3658_logiqa_cot"
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22 |
+
},
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23 |
+
"quisquam-ipsum-3658_logiqa2_cot": {
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24 |
+
"acc,none": 0.6902035623409669,
|
25 |
+
"acc_stderr,none": 0.01166644976869481,
|
26 |
+
"alias": "quisquam-ipsum-3658_logiqa2_cot"
|
27 |
+
}
|
28 |
+
},
|
29 |
+
"group_subtasks": {
|
30 |
+
"quisquam-ipsum-3658_logiqa2_cot": [],
|
31 |
+
"quisquam-ipsum-3658_logiqa_cot": [],
|
32 |
+
"quisquam-ipsum-3658_lsat-ar_cot": [],
|
33 |
+
"quisquam-ipsum-3658_lsat-lr_cot": [],
|
34 |
+
"quisquam-ipsum-3658_lsat-rc_cot": []
|
35 |
+
},
|
36 |
+
"configs": {
|
37 |
+
"quisquam-ipsum-3658_logiqa2_cot": {
|
38 |
+
"task": "quisquam-ipsum-3658_logiqa2_cot",
|
39 |
+
"group": "logikon-bench",
|
40 |
+
"dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
|
41 |
+
"dataset_kwargs": {
|
42 |
+
"data_files": {
|
43 |
+
"test": "data/meta-llama/Meta-Llama-3.1-70B-Instruct/quisquam-ipsum-3658-logiqa2.parquet"
|
44 |
+
}
|
45 |
+
},
|
46 |
+
"test_split": "test",
|
47 |
+
"doc_to_text": "def doc_to_text_cot(doc) -> str:\n \"\"\"\n Answer the following question about the given passage. [Base your answer on the reasoning below.]\n \n Passage: <passage>\n \n Question: <question>\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n [E. <choice5>]\n \n [Reasoning: <reasoning>]\n \n Answer:\n \"\"\"\n k = len(doc[\"options\"])\n choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n prompt = \"Answer the following question about the given passage. Base your answer on the reasoning below.\\n\\n\"\n prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n for choice, option in zip(choices, doc[\"options\"]):\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"\\n\"\n prompt += \"Reasoning: \" + doc[\"reasoning_trace\"] + \"\\n\\n\" \n prompt += \"Answer:\"\n return prompt\n",
|
48 |
+
"doc_to_target": "{{answer}}",
|
49 |
+
"doc_to_choice": "{{options}}",
|
50 |
+
"description": "",
|
51 |
+
"target_delimiter": " ",
|
52 |
+
"fewshot_delimiter": "\n\n",
|
53 |
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"num_fewshot": 0,
|
54 |
+
"metric_list": [
|
55 |
+
{
|
56 |
+
"metric": "acc",
|
57 |
+
"aggregation": "mean",
|
58 |
+
"higher_is_better": true
|
59 |
+
}
|
60 |
+
],
|
61 |
+
"output_type": "multiple_choice",
|
62 |
+
"repeats": 1,
|
63 |
+
"should_decontaminate": false,
|
64 |
+
"metadata": {
|
65 |
+
"version": 0.0
|
66 |
+
}
|
67 |
+
},
|
68 |
+
"quisquam-ipsum-3658_logiqa_cot": {
|
69 |
+
"task": "quisquam-ipsum-3658_logiqa_cot",
|
70 |
+
"group": "logikon-bench",
|
71 |
+
"dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
|
72 |
+
"dataset_kwargs": {
|
73 |
+
"data_files": {
|
74 |
+
"test": "data/meta-llama/Meta-Llama-3.1-70B-Instruct/quisquam-ipsum-3658-logiqa.parquet"
|
75 |
+
}
|
76 |
+
},
|
77 |
+
"test_split": "test",
|
78 |
+
"doc_to_text": "def doc_to_text_cot(doc) -> str:\n \"\"\"\n Answer the following question about the given passage. [Base your answer on the reasoning below.]\n \n Passage: <passage>\n \n Question: <question>\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n [E. <choice5>]\n \n [Reasoning: <reasoning>]\n \n Answer:\n \"\"\"\n k = len(doc[\"options\"])\n choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n prompt = \"Answer the following question about the given passage. Base your answer on the reasoning below.\\n\\n\"\n prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n for choice, option in zip(choices, doc[\"options\"]):\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"\\n\"\n prompt += \"Reasoning: \" + doc[\"reasoning_trace\"] + \"\\n\\n\" \n prompt += \"Answer:\"\n return prompt\n",
|
79 |
+
"doc_to_target": "{{answer}}",
|
80 |
+
"doc_to_choice": "{{options}}",
|
81 |
+
"description": "",
|
82 |
+
"target_delimiter": " ",
|
83 |
+
"fewshot_delimiter": "\n\n",
|
84 |
+
"num_fewshot": 0,
|
85 |
+
"metric_list": [
|
86 |
+
{
|
87 |
+
"metric": "acc",
|
88 |
+
"aggregation": "mean",
|
89 |
+
"higher_is_better": true
|
90 |
+
}
|
91 |
+
],
|
92 |
+
"output_type": "multiple_choice",
|
93 |
+
"repeats": 1,
|
94 |
+
"should_decontaminate": false,
|
95 |
+
"metadata": {
|
96 |
+
"version": 0.0
|
97 |
+
}
|
98 |
+
},
|
99 |
+
"quisquam-ipsum-3658_lsat-ar_cot": {
|
100 |
+
"task": "quisquam-ipsum-3658_lsat-ar_cot",
|
101 |
+
"group": "logikon-bench",
|
102 |
+
"dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
|
103 |
+
"dataset_kwargs": {
|
104 |
+
"data_files": {
|
105 |
+
"test": "data/meta-llama/Meta-Llama-3.1-70B-Instruct/quisquam-ipsum-3658-lsat-ar.parquet"
|
106 |
+
}
|
107 |
+
},
|
108 |
+
"test_split": "test",
|
109 |
+
"doc_to_text": "def doc_to_text_cot(doc) -> str:\n \"\"\"\n Answer the following question about the given passage. [Base your answer on the reasoning below.]\n \n Passage: <passage>\n \n Question: <question>\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n [E. <choice5>]\n \n [Reasoning: <reasoning>]\n \n Answer:\n \"\"\"\n k = len(doc[\"options\"])\n choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n prompt = \"Answer the following question about the given passage. Base your answer on the reasoning below.\\n\\n\"\n prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n for choice, option in zip(choices, doc[\"options\"]):\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"\\n\"\n prompt += \"Reasoning: \" + doc[\"reasoning_trace\"] + \"\\n\\n\" \n prompt += \"Answer:\"\n return prompt\n",
|
110 |
+
"doc_to_target": "{{answer}}",
|
111 |
+
"doc_to_choice": "{{options}}",
|
112 |
+
"description": "",
|
113 |
+
"target_delimiter": " ",
|
114 |
+
"fewshot_delimiter": "\n\n",
|
115 |
+
"num_fewshot": 0,
|
116 |
+
"metric_list": [
|
117 |
+
{
|
118 |
+
"metric": "acc",
|
119 |
+
"aggregation": "mean",
|
120 |
+
"higher_is_better": true
|
121 |
+
}
|
122 |
+
],
|
123 |
+
"output_type": "multiple_choice",
|
124 |
+
"repeats": 1,
|
125 |
+
"should_decontaminate": false,
|
126 |
+
"metadata": {
|
127 |
+
"version": 0.0
|
128 |
+
}
|
129 |
+
},
|
130 |
+
"quisquam-ipsum-3658_lsat-lr_cot": {
|
131 |
+
"task": "quisquam-ipsum-3658_lsat-lr_cot",
|
132 |
+
"group": "logikon-bench",
|
133 |
+
"dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
|
134 |
+
"dataset_kwargs": {
|
135 |
+
"data_files": {
|
136 |
+
"test": "data/meta-llama/Meta-Llama-3.1-70B-Instruct/quisquam-ipsum-3658-lsat-lr.parquet"
|
137 |
+
}
|
138 |
+
},
|
139 |
+
"test_split": "test",
|
140 |
+
"doc_to_text": "def doc_to_text_cot(doc) -> str:\n \"\"\"\n Answer the following question about the given passage. [Base your answer on the reasoning below.]\n \n Passage: <passage>\n \n Question: <question>\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n [E. <choice5>]\n \n [Reasoning: <reasoning>]\n \n Answer:\n \"\"\"\n k = len(doc[\"options\"])\n choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n prompt = \"Answer the following question about the given passage. Base your answer on the reasoning below.\\n\\n\"\n prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n for choice, option in zip(choices, doc[\"options\"]):\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"\\n\"\n prompt += \"Reasoning: \" + doc[\"reasoning_trace\"] + \"\\n\\n\" \n prompt += \"Answer:\"\n return prompt\n",
|
141 |
+
"doc_to_target": "{{answer}}",
|
142 |
+
"doc_to_choice": "{{options}}",
|
143 |
+
"description": "",
|
144 |
+
"target_delimiter": " ",
|
145 |
+
"fewshot_delimiter": "\n\n",
|
146 |
+
"num_fewshot": 0,
|
147 |
+
"metric_list": [
|
148 |
+
{
|
149 |
+
"metric": "acc",
|
150 |
+
"aggregation": "mean",
|
151 |
+
"higher_is_better": true
|
152 |
+
}
|
153 |
+
],
|
154 |
+
"output_type": "multiple_choice",
|
155 |
+
"repeats": 1,
|
156 |
+
"should_decontaminate": false,
|
157 |
+
"metadata": {
|
158 |
+
"version": 0.0
|
159 |
+
}
|
160 |
+
},
|
161 |
+
"quisquam-ipsum-3658_lsat-rc_cot": {
|
162 |
+
"task": "quisquam-ipsum-3658_lsat-rc_cot",
|
163 |
+
"group": "logikon-bench",
|
164 |
+
"dataset_path": "cot-leaderboard/cot-eval-traces-2.0",
|
165 |
+
"dataset_kwargs": {
|
166 |
+
"data_files": {
|
167 |
+
"test": "data/meta-llama/Meta-Llama-3.1-70B-Instruct/quisquam-ipsum-3658-lsat-rc.parquet"
|
168 |
+
}
|
169 |
+
},
|
170 |
+
"test_split": "test",
|
171 |
+
"doc_to_text": "def doc_to_text_cot(doc) -> str:\n \"\"\"\n Answer the following question about the given passage. [Base your answer on the reasoning below.]\n \n Passage: <passage>\n \n Question: <question>\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n [E. <choice5>]\n \n [Reasoning: <reasoning>]\n \n Answer:\n \"\"\"\n k = len(doc[\"options\"])\n choices = [\"a\", \"b\", \"c\", \"d\", \"e\"][:k]\n prompt = \"Answer the following question about the given passage. Base your answer on the reasoning below.\\n\\n\"\n prompt = \"Passage: \" + doc[\"passage\"] + \"\\n\\n\"\n prompt += \"Question: \" + doc[\"question\"] + \"\\n\"\n for choice, option in zip(choices, doc[\"options\"]):\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"\\n\"\n prompt += \"Reasoning: \" + doc[\"reasoning_trace\"] + \"\\n\\n\" \n prompt += \"Answer:\"\n return prompt\n",
|
172 |
+
"doc_to_target": "{{answer}}",
|
173 |
+
"doc_to_choice": "{{options}}",
|
174 |
+
"description": "",
|
175 |
+
"target_delimiter": " ",
|
176 |
+
"fewshot_delimiter": "\n\n",
|
177 |
+
"num_fewshot": 0,
|
178 |
+
"metric_list": [
|
179 |
+
{
|
180 |
+
"metric": "acc",
|
181 |
+
"aggregation": "mean",
|
182 |
+
"higher_is_better": true
|
183 |
+
}
|
184 |
+
],
|
185 |
+
"output_type": "multiple_choice",
|
186 |
+
"repeats": 1,
|
187 |
+
"should_decontaminate": false,
|
188 |
+
"metadata": {
|
189 |
+
"version": 0.0
|
190 |
+
}
|
191 |
+
}
|
192 |
+
},
|
193 |
+
"versions": {
|
194 |
+
"quisquam-ipsum-3658_logiqa2_cot": 0.0,
|
195 |
+
"quisquam-ipsum-3658_logiqa_cot": 0.0,
|
196 |
+
"quisquam-ipsum-3658_lsat-ar_cot": 0.0,
|
197 |
+
"quisquam-ipsum-3658_lsat-lr_cot": 0.0,
|
198 |
+
"quisquam-ipsum-3658_lsat-rc_cot": 0.0
|
199 |
+
},
|
200 |
+
"n-shot": {
|
201 |
+
"quisquam-ipsum-3658_logiqa2_cot": 0,
|
202 |
+
"quisquam-ipsum-3658_logiqa_cot": 0,
|
203 |
+
"quisquam-ipsum-3658_lsat-ar_cot": 0,
|
204 |
+
"quisquam-ipsum-3658_lsat-lr_cot": 0,
|
205 |
+
"quisquam-ipsum-3658_lsat-rc_cot": 0
|
206 |
+
},
|
207 |
+
"higher_is_better": {
|
208 |
+
"quisquam-ipsum-3658_logiqa2_cot": {
|
209 |
+
"acc": true
|
210 |
+
},
|
211 |
+
"quisquam-ipsum-3658_logiqa_cot": {
|
212 |
+
"acc": true
|
213 |
+
},
|
214 |
+
"quisquam-ipsum-3658_lsat-ar_cot": {
|
215 |
+
"acc": true
|
216 |
+
},
|
217 |
+
"quisquam-ipsum-3658_lsat-lr_cot": {
|
218 |
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"acc": true
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