Commit
•
e76c4ce
1
Parent(s):
bdc7415
evals
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +68 -68
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +429 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +58 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +74 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +74 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/prost/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +63 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/prost/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +62 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +148 -148
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qa4mre/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +171 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qa4mre/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +59 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qqp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +64 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qqp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/race/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +56 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/race/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/rte/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +59 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/rte/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sciq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +4 -4
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sciq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sglue_rte/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +61 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sglue_rte/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sst2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +59 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sst2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/swag/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +64 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/swag/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sycophancy/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +131 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sycophancy/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/truthfulqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +79 -79
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/truthfulqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +2 -2
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +60 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +61 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +65 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +1 -1
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +59 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json +61 -0
- lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log +3 -0
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
CHANGED
|
@@ -1,14 +1,14 @@
|
|
| 1 |
{
|
| 2 |
"results": {
|
| 3 |
"mmlu": {
|
| 4 |
-
"acc,none": 0.
|
| 5 |
-
"acc_stderr,none": 0.
|
| 6 |
"alias": "mmlu"
|
| 7 |
},
|
| 8 |
"mmlu_humanities": {
|
| 9 |
"alias": " - humanities",
|
| 10 |
-
"acc,none": 0.
|
| 11 |
-
"acc_stderr,none": 0.
|
| 12 |
},
|
| 13 |
"mmlu_formal_logic": {
|
| 14 |
"alias": " - formal_logic",
|
|
@@ -27,8 +27,8 @@
|
|
| 27 |
},
|
| 28 |
"mmlu_high_school_world_history": {
|
| 29 |
"alias": " - high_school_world_history",
|
| 30 |
-
"acc,none": 0.
|
| 31 |
-
"acc_stderr,none": 0.
|
| 32 |
},
|
| 33 |
"mmlu_international_law": {
|
| 34 |
"alias": " - international_law",
|
|
@@ -38,7 +38,7 @@
|
|
| 38 |
"mmlu_jurisprudence": {
|
| 39 |
"alias": " - jurisprudence",
|
| 40 |
"acc,none": 0.32407407407407407,
|
| 41 |
-
"acc_stderr,none": 0.
|
| 42 |
},
|
| 43 |
"mmlu_logical_fallacies": {
|
| 44 |
"alias": " - logical_fallacies",
|
|
@@ -48,52 +48,52 @@
|
|
| 48 |
"mmlu_moral_disputes": {
|
| 49 |
"alias": " - moral_disputes",
|
| 50 |
"acc,none": 0.315028901734104,
|
| 51 |
-
"acc_stderr,none": 0.
|
| 52 |
},
|
| 53 |
"mmlu_moral_scenarios": {
|
| 54 |
"alias": " - moral_scenarios",
|
| 55 |
"acc,none": 0.2346368715083799,
|
| 56 |
-
"acc_stderr,none": 0.
|
| 57 |
},
|
| 58 |
"mmlu_philosophy": {
|
| 59 |
"alias": " - philosophy",
|
| 60 |
"acc,none": 0.3987138263665595,
|
| 61 |
-
"acc_stderr,none": 0.
|
| 62 |
},
|
| 63 |
"mmlu_prehistory": {
|
| 64 |
"alias": " - prehistory",
|
| 65 |
-
"acc,none": 0.
|
| 66 |
-
"acc_stderr,none": 0.
|
| 67 |
},
|
| 68 |
"mmlu_professional_law": {
|
| 69 |
"alias": " - professional_law",
|
| 70 |
"acc,none": 0.3011734028683181,
|
| 71 |
-
"acc_stderr,none": 0.
|
| 72 |
},
|
| 73 |
"mmlu_world_religions": {
|
| 74 |
"alias": " - world_religions",
|
| 75 |
"acc,none": 0.391812865497076,
|
| 76 |
-
"acc_stderr,none": 0.
|
| 77 |
},
|
| 78 |
"mmlu_other": {
|
| 79 |
"alias": " - other",
|
| 80 |
-
"acc,none": 0.
|
| 81 |
-
"acc_stderr,none": 0.
|
| 82 |
},
|
| 83 |
"mmlu_business_ethics": {
|
| 84 |
"alias": " - business_ethics",
|
| 85 |
"acc,none": 0.33,
|
| 86 |
-
"acc_stderr,none": 0.
|
| 87 |
},
|
| 88 |
"mmlu_clinical_knowledge": {
|
| 89 |
"alias": " - clinical_knowledge",
|
| 90 |
"acc,none": 0.37358490566037733,
|
| 91 |
-
"acc_stderr,none": 0.
|
| 92 |
},
|
| 93 |
"mmlu_college_medicine": {
|
| 94 |
"alias": " - college_medicine",
|
| 95 |
"acc,none": 0.27167630057803466,
|
| 96 |
-
"acc_stderr,none": 0.
|
| 97 |
},
|
| 98 |
"mmlu_global_facts": {
|
| 99 |
"alias": " - global_facts",
|
|
@@ -118,42 +118,42 @@
|
|
| 118 |
"mmlu_medical_genetics": {
|
| 119 |
"alias": " - medical_genetics",
|
| 120 |
"acc,none": 0.33,
|
| 121 |
-
"acc_stderr,none": 0.
|
| 122 |
},
|
| 123 |
"mmlu_miscellaneous": {
|
| 124 |
"alias": " - miscellaneous",
|
| 125 |
"acc,none": 0.4367816091954023,
|
| 126 |
-
"acc_stderr,none": 0.
|
| 127 |
},
|
| 128 |
"mmlu_nutrition": {
|
| 129 |
"alias": " - nutrition",
|
| 130 |
-
"acc,none": 0.
|
| 131 |
-
"acc_stderr,none": 0.
|
| 132 |
},
|
| 133 |
"mmlu_professional_accounting": {
|
| 134 |
"alias": " - professional_accounting",
|
| 135 |
"acc,none": 0.2624113475177305,
|
| 136 |
-
"acc_stderr,none": 0.
|
| 137 |
},
|
| 138 |
"mmlu_professional_medicine": {
|
| 139 |
"alias": " - professional_medicine",
|
| 140 |
"acc,none": 0.35294117647058826,
|
| 141 |
-
"acc_stderr,none": 0.
|
| 142 |
},
|
| 143 |
"mmlu_virology": {
|
| 144 |
"alias": " - virology",
|
| 145 |
-
"acc,none": 0.
|
| 146 |
-
"acc_stderr,none": 0.
|
| 147 |
},
|
| 148 |
"mmlu_social_sciences": {
|
| 149 |
"alias": " - social_sciences",
|
| 150 |
-
"acc,none": 0.
|
| 151 |
-
"acc_stderr,none": 0.
|
| 152 |
},
|
| 153 |
"mmlu_econometrics": {
|
| 154 |
"alias": " - econometrics",
|
| 155 |
"acc,none": 0.23684210526315788,
|
| 156 |
-
"acc_stderr,none": 0.
|
| 157 |
},
|
| 158 |
"mmlu_high_school_geography": {
|
| 159 |
"alias": " - high_school_geography",
|
|
@@ -163,22 +163,22 @@
|
|
| 163 |
"mmlu_high_school_government_and_politics": {
|
| 164 |
"alias": " - high_school_government_and_politics",
|
| 165 |
"acc,none": 0.45077720207253885,
|
| 166 |
-
"acc_stderr,none": 0.
|
| 167 |
},
|
| 168 |
"mmlu_high_school_macroeconomics": {
|
| 169 |
"alias": " - high_school_macroeconomics",
|
| 170 |
-
"acc,none": 0.
|
| 171 |
-
"acc_stderr,none": 0.
|
| 172 |
},
|
| 173 |
"mmlu_high_school_microeconomics": {
|
| 174 |
"alias": " - high_school_microeconomics",
|
| 175 |
"acc,none": 0.31512605042016806,
|
| 176 |
-
"acc_stderr,none": 0.
|
| 177 |
},
|
| 178 |
"mmlu_high_school_psychology": {
|
| 179 |
"alias": " - high_school_psychology",
|
| 180 |
-
"acc,none": 0.
|
| 181 |
-
"acc_stderr,none": 0.
|
| 182 |
},
|
| 183 |
"mmlu_human_sexuality": {
|
| 184 |
"alias": " - human_sexuality",
|
|
@@ -188,17 +188,17 @@
|
|
| 188 |
"mmlu_professional_psychology": {
|
| 189 |
"alias": " - professional_psychology",
|
| 190 |
"acc,none": 0.3284313725490196,
|
| 191 |
-
"acc_stderr,none": 0.
|
| 192 |
},
|
| 193 |
"mmlu_public_relations": {
|
| 194 |
"alias": " - public_relations",
|
| 195 |
"acc,none": 0.39090909090909093,
|
| 196 |
-
"acc_stderr,none": 0.
|
| 197 |
},
|
| 198 |
"mmlu_security_studies": {
|
| 199 |
"alias": " - security_studies",
|
| 200 |
"acc,none": 0.3224489795918367,
|
| 201 |
-
"acc_stderr,none": 0.
|
| 202 |
},
|
| 203 |
"mmlu_sociology": {
|
| 204 |
"alias": " - sociology",
|
|
@@ -207,18 +207,18 @@
|
|
| 207 |
},
|
| 208 |
"mmlu_us_foreign_policy": {
|
| 209 |
"alias": " - us_foreign_policy",
|
| 210 |
-
"acc,none": 0.
|
| 211 |
-
"acc_stderr,none": 0.
|
| 212 |
},
|
| 213 |
"mmlu_stem": {
|
| 214 |
"alias": " - stem",
|
| 215 |
-
"acc,none": 0.
|
| 216 |
-
"acc_stderr,none": 0.
|
| 217 |
},
|
| 218 |
"mmlu_abstract_algebra": {
|
| 219 |
"alias": " - abstract_algebra",
|
| 220 |
"acc,none": 0.27,
|
| 221 |
-
"acc_stderr,none": 0.
|
| 222 |
},
|
| 223 |
"mmlu_anatomy": {
|
| 224 |
"alias": " - anatomy",
|
|
@@ -228,7 +228,7 @@
|
|
| 228 |
"mmlu_astronomy": {
|
| 229 |
"alias": " - astronomy",
|
| 230 |
"acc,none": 0.26973684210526316,
|
| 231 |
-
"acc_stderr,none": 0.
|
| 232 |
},
|
| 233 |
"mmlu_college_biology": {
|
| 234 |
"alias": " - college_biology",
|
|
@@ -238,12 +238,12 @@
|
|
| 238 |
"mmlu_college_chemistry": {
|
| 239 |
"alias": " - college_chemistry",
|
| 240 |
"acc,none": 0.32,
|
| 241 |
-
"acc_stderr,none": 0.
|
| 242 |
},
|
| 243 |
"mmlu_college_computer_science": {
|
| 244 |
"alias": " - college_computer_science",
|
| 245 |
"acc,none": 0.19,
|
| 246 |
-
"acc_stderr,none": 0.
|
| 247 |
},
|
| 248 |
"mmlu_college_mathematics": {
|
| 249 |
"alias": " - college_mathematics",
|
|
@@ -253,37 +253,37 @@
|
|
| 253 |
"mmlu_college_physics": {
|
| 254 |
"alias": " - college_physics",
|
| 255 |
"acc,none": 0.22549019607843138,
|
| 256 |
-
"acc_stderr,none": 0.
|
| 257 |
},
|
| 258 |
"mmlu_computer_security": {
|
| 259 |
"alias": " - computer_security",
|
| 260 |
"acc,none": 0.28,
|
| 261 |
-
"acc_stderr,none": 0.
|
| 262 |
},
|
| 263 |
"mmlu_conceptual_physics": {
|
| 264 |
"alias": " - conceptual_physics",
|
| 265 |
"acc,none": 0.3659574468085106,
|
| 266 |
-
"acc_stderr,none": 0.
|
| 267 |
},
|
| 268 |
"mmlu_electrical_engineering": {
|
| 269 |
"alias": " - electrical_engineering",
|
| 270 |
"acc,none": 0.2827586206896552,
|
| 271 |
-
"acc_stderr,none": 0.
|
| 272 |
},
|
| 273 |
"mmlu_elementary_mathematics": {
|
| 274 |
"alias": " - elementary_mathematics",
|
| 275 |
"acc,none": 0.2619047619047619,
|
| 276 |
-
"acc_stderr,none": 0.
|
| 277 |
},
|
| 278 |
"mmlu_high_school_biology": {
|
| 279 |
"alias": " - high_school_biology",
|
| 280 |
"acc,none": 0.3967741935483871,
|
| 281 |
-
"acc_stderr,none": 0.
|
| 282 |
},
|
| 283 |
"mmlu_high_school_chemistry": {
|
| 284 |
"alias": " - high_school_chemistry",
|
| 285 |
-
"acc,none": 0.
|
| 286 |
-
"acc_stderr,none": 0.
|
| 287 |
},
|
| 288 |
"mmlu_high_school_computer_science": {
|
| 289 |
"alias": " - high_school_computer_science",
|
|
@@ -293,12 +293,12 @@
|
|
| 293 |
"mmlu_high_school_mathematics": {
|
| 294 |
"alias": " - high_school_mathematics",
|
| 295 |
"acc,none": 0.24814814814814815,
|
| 296 |
-
"acc_stderr,none": 0.
|
| 297 |
},
|
| 298 |
"mmlu_high_school_physics": {
|
| 299 |
"alias": " - high_school_physics",
|
| 300 |
"acc,none": 0.23841059602649006,
|
| 301 |
-
"acc_stderr,none": 0.
|
| 302 |
},
|
| 303 |
"mmlu_high_school_statistics": {
|
| 304 |
"alias": " - high_school_statistics",
|
|
@@ -308,34 +308,34 @@
|
|
| 308 |
"mmlu_machine_learning": {
|
| 309 |
"alias": " - machine_learning",
|
| 310 |
"acc,none": 0.2767857142857143,
|
| 311 |
-
"acc_stderr,none": 0.
|
| 312 |
}
|
| 313 |
},
|
| 314 |
"groups": {
|
| 315 |
"mmlu": {
|
| 316 |
-
"acc,none": 0.
|
| 317 |
-
"acc_stderr,none": 0.
|
| 318 |
"alias": "mmlu"
|
| 319 |
},
|
| 320 |
"mmlu_humanities": {
|
| 321 |
"alias": " - humanities",
|
| 322 |
-
"acc,none": 0.
|
| 323 |
-
"acc_stderr,none": 0.
|
| 324 |
},
|
| 325 |
"mmlu_other": {
|
| 326 |
"alias": " - other",
|
| 327 |
-
"acc,none": 0.
|
| 328 |
-
"acc_stderr,none": 0.
|
| 329 |
},
|
| 330 |
"mmlu_social_sciences": {
|
| 331 |
"alias": " - social_sciences",
|
| 332 |
-
"acc,none": 0.
|
| 333 |
-
"acc_stderr,none": 0.
|
| 334 |
},
|
| 335 |
"mmlu_stem": {
|
| 336 |
"alias": " - stem",
|
| 337 |
-
"acc,none": 0.
|
| 338 |
-
"acc_stderr,none": 0.
|
| 339 |
}
|
| 340 |
},
|
| 341 |
"configs": {
|
|
|
|
| 1 |
{
|
| 2 |
"results": {
|
| 3 |
"mmlu": {
|
| 4 |
+
"acc,none": 0.33086454920951425,
|
| 5 |
+
"acc_stderr,none": 0.060605075693583886,
|
| 6 |
"alias": "mmlu"
|
| 7 |
},
|
| 8 |
"mmlu_humanities": {
|
| 9 |
"alias": " - humanities",
|
| 10 |
+
"acc,none": 0.32561105207226343,
|
| 11 |
+
"acc_stderr,none": 0.0607809456258765
|
| 12 |
},
|
| 13 |
"mmlu_formal_logic": {
|
| 14 |
"alias": " - formal_logic",
|
|
|
|
| 27 |
},
|
| 28 |
"mmlu_high_school_world_history": {
|
| 29 |
"alias": " - high_school_world_history",
|
| 30 |
+
"acc,none": 0.42616033755274263,
|
| 31 |
+
"acc_stderr,none": 0.03219035703131774
|
| 32 |
},
|
| 33 |
"mmlu_international_law": {
|
| 34 |
"alias": " - international_law",
|
|
|
|
| 38 |
"mmlu_jurisprudence": {
|
| 39 |
"alias": " - jurisprudence",
|
| 40 |
"acc,none": 0.32407407407407407,
|
| 41 |
+
"acc_stderr,none": 0.04524596007030049
|
| 42 |
},
|
| 43 |
"mmlu_logical_fallacies": {
|
| 44 |
"alias": " - logical_fallacies",
|
|
|
|
| 48 |
"mmlu_moral_disputes": {
|
| 49 |
"alias": " - moral_disputes",
|
| 50 |
"acc,none": 0.315028901734104,
|
| 51 |
+
"acc_stderr,none": 0.025009313790069706
|
| 52 |
},
|
| 53 |
"mmlu_moral_scenarios": {
|
| 54 |
"alias": " - moral_scenarios",
|
| 55 |
"acc,none": 0.2346368715083799,
|
| 56 |
+
"acc_stderr,none": 0.014173044098303679
|
| 57 |
},
|
| 58 |
"mmlu_philosophy": {
|
| 59 |
"alias": " - philosophy",
|
| 60 |
"acc,none": 0.3987138263665595,
|
| 61 |
+
"acc_stderr,none": 0.0278093225857745
|
| 62 |
},
|
| 63 |
"mmlu_prehistory": {
|
| 64 |
"alias": " - prehistory",
|
| 65 |
+
"acc,none": 0.36419753086419754,
|
| 66 |
+
"acc_stderr,none": 0.026774929899722327
|
| 67 |
},
|
| 68 |
"mmlu_professional_law": {
|
| 69 |
"alias": " - professional_law",
|
| 70 |
"acc,none": 0.3011734028683181,
|
| 71 |
+
"acc_stderr,none": 0.011717148751648424
|
| 72 |
},
|
| 73 |
"mmlu_world_religions": {
|
| 74 |
"alias": " - world_religions",
|
| 75 |
"acc,none": 0.391812865497076,
|
| 76 |
+
"acc_stderr,none": 0.037439798259264
|
| 77 |
},
|
| 78 |
"mmlu_other": {
|
| 79 |
"alias": " - other",
|
| 80 |
+
"acc,none": 0.3662697135500483,
|
| 81 |
+
"acc_stderr,none": 0.049834862065929936
|
| 82 |
},
|
| 83 |
"mmlu_business_ethics": {
|
| 84 |
"alias": " - business_ethics",
|
| 85 |
"acc,none": 0.33,
|
| 86 |
+
"acc_stderr,none": 0.047258156262526045
|
| 87 |
},
|
| 88 |
"mmlu_clinical_knowledge": {
|
| 89 |
"alias": " - clinical_knowledge",
|
| 90 |
"acc,none": 0.37358490566037733,
|
| 91 |
+
"acc_stderr,none": 0.02977308271331987
|
| 92 |
},
|
| 93 |
"mmlu_college_medicine": {
|
| 94 |
"alias": " - college_medicine",
|
| 95 |
"acc,none": 0.27167630057803466,
|
| 96 |
+
"acc_stderr,none": 0.03391750322321659
|
| 97 |
},
|
| 98 |
"mmlu_global_facts": {
|
| 99 |
"alias": " - global_facts",
|
|
|
|
| 118 |
"mmlu_medical_genetics": {
|
| 119 |
"alias": " - medical_genetics",
|
| 120 |
"acc,none": 0.33,
|
| 121 |
+
"acc_stderr,none": 0.04725815626252604
|
| 122 |
},
|
| 123 |
"mmlu_miscellaneous": {
|
| 124 |
"alias": " - miscellaneous",
|
| 125 |
"acc,none": 0.4367816091954023,
|
| 126 |
+
"acc_stderr,none": 0.017736470837800687
|
| 127 |
},
|
| 128 |
"mmlu_nutrition": {
|
| 129 |
"alias": " - nutrition",
|
| 130 |
+
"acc,none": 0.3202614379084967,
|
| 131 |
+
"acc_stderr,none": 0.02671611838015685
|
| 132 |
},
|
| 133 |
"mmlu_professional_accounting": {
|
| 134 |
"alias": " - professional_accounting",
|
| 135 |
"acc,none": 0.2624113475177305,
|
| 136 |
+
"acc_stderr,none": 0.026244920349843007
|
| 137 |
},
|
| 138 |
"mmlu_professional_medicine": {
|
| 139 |
"alias": " - professional_medicine",
|
| 140 |
"acc,none": 0.35294117647058826,
|
| 141 |
+
"acc_stderr,none": 0.029029422815681397
|
| 142 |
},
|
| 143 |
"mmlu_virology": {
|
| 144 |
"alias": " - virology",
|
| 145 |
+
"acc,none": 0.3493975903614458,
|
| 146 |
+
"acc_stderr,none": 0.037117251907407486
|
| 147 |
},
|
| 148 |
"mmlu_social_sciences": {
|
| 149 |
"alias": " - social_sciences",
|
| 150 |
+
"acc,none": 0.35294117647058826,
|
| 151 |
+
"acc_stderr,none": 0.04972757753075276
|
| 152 |
},
|
| 153 |
"mmlu_econometrics": {
|
| 154 |
"alias": " - econometrics",
|
| 155 |
"acc,none": 0.23684210526315788,
|
| 156 |
+
"acc_stderr,none": 0.03999423879281337
|
| 157 |
},
|
| 158 |
"mmlu_high_school_geography": {
|
| 159 |
"alias": " - high_school_geography",
|
|
|
|
| 163 |
"mmlu_high_school_government_and_politics": {
|
| 164 |
"alias": " - high_school_government_and_politics",
|
| 165 |
"acc,none": 0.45077720207253885,
|
| 166 |
+
"acc_stderr,none": 0.03590910952235523
|
| 167 |
},
|
| 168 |
"mmlu_high_school_macroeconomics": {
|
| 169 |
"alias": " - high_school_macroeconomics",
|
| 170 |
+
"acc,none": 0.3076923076923077,
|
| 171 |
+
"acc_stderr,none": 0.023400928918310495
|
| 172 |
},
|
| 173 |
"mmlu_high_school_microeconomics": {
|
| 174 |
"alias": " - high_school_microeconomics",
|
| 175 |
"acc,none": 0.31512605042016806,
|
| 176 |
+
"acc_stderr,none": 0.030176808288974337
|
| 177 |
},
|
| 178 |
"mmlu_high_school_psychology": {
|
| 179 |
"alias": " - high_school_psychology",
|
| 180 |
+
"acc,none": 0.3761467889908257,
|
| 181 |
+
"acc_stderr,none": 0.02076923196820508
|
| 182 |
},
|
| 183 |
"mmlu_human_sexuality": {
|
| 184 |
"alias": " - human_sexuality",
|
|
|
|
| 188 |
"mmlu_professional_psychology": {
|
| 189 |
"alias": " - professional_psychology",
|
| 190 |
"acc,none": 0.3284313725490196,
|
| 191 |
+
"acc_stderr,none": 0.018999707383162666
|
| 192 |
},
|
| 193 |
"mmlu_public_relations": {
|
| 194 |
"alias": " - public_relations",
|
| 195 |
"acc,none": 0.39090909090909093,
|
| 196 |
+
"acc_stderr,none": 0.04673752333670239
|
| 197 |
},
|
| 198 |
"mmlu_security_studies": {
|
| 199 |
"alias": " - security_studies",
|
| 200 |
"acc,none": 0.3224489795918367,
|
| 201 |
+
"acc_stderr,none": 0.029923100563683906
|
| 202 |
},
|
| 203 |
"mmlu_sociology": {
|
| 204 |
"alias": " - sociology",
|
|
|
|
| 207 |
},
|
| 208 |
"mmlu_us_foreign_policy": {
|
| 209 |
"alias": " - us_foreign_policy",
|
| 210 |
+
"acc,none": 0.43,
|
| 211 |
+
"acc_stderr,none": 0.049756985195624284
|
| 212 |
},
|
| 213 |
"mmlu_stem": {
|
| 214 |
"alias": " - stem",
|
| 215 |
+
"acc,none": 0.28227085315572464,
|
| 216 |
+
"acc_stderr,none": 0.060616974885657864
|
| 217 |
},
|
| 218 |
"mmlu_abstract_algebra": {
|
| 219 |
"alias": " - abstract_algebra",
|
| 220 |
"acc,none": 0.27,
|
| 221 |
+
"acc_stderr,none": 0.044619604333847394
|
| 222 |
},
|
| 223 |
"mmlu_anatomy": {
|
| 224 |
"alias": " - anatomy",
|
|
|
|
| 228 |
"mmlu_astronomy": {
|
| 229 |
"alias": " - astronomy",
|
| 230 |
"acc,none": 0.26973684210526316,
|
| 231 |
+
"acc_stderr,none": 0.03611780560284898
|
| 232 |
},
|
| 233 |
"mmlu_college_biology": {
|
| 234 |
"alias": " - college_biology",
|
|
|
|
| 238 |
"mmlu_college_chemistry": {
|
| 239 |
"alias": " - college_chemistry",
|
| 240 |
"acc,none": 0.32,
|
| 241 |
+
"acc_stderr,none": 0.04688261722621504
|
| 242 |
},
|
| 243 |
"mmlu_college_computer_science": {
|
| 244 |
"alias": " - college_computer_science",
|
| 245 |
"acc,none": 0.19,
|
| 246 |
+
"acc_stderr,none": 0.03942772444036625
|
| 247 |
},
|
| 248 |
"mmlu_college_mathematics": {
|
| 249 |
"alias": " - college_mathematics",
|
|
|
|
| 253 |
"mmlu_college_physics": {
|
| 254 |
"alias": " - college_physics",
|
| 255 |
"acc,none": 0.22549019607843138,
|
| 256 |
+
"acc_stderr,none": 0.041583075330832865
|
| 257 |
},
|
| 258 |
"mmlu_computer_security": {
|
| 259 |
"alias": " - computer_security",
|
| 260 |
"acc,none": 0.28,
|
| 261 |
+
"acc_stderr,none": 0.04512608598542126
|
| 262 |
},
|
| 263 |
"mmlu_conceptual_physics": {
|
| 264 |
"alias": " - conceptual_physics",
|
| 265 |
"acc,none": 0.3659574468085106,
|
| 266 |
+
"acc_stderr,none": 0.0314895582974553
|
| 267 |
},
|
| 268 |
"mmlu_electrical_engineering": {
|
| 269 |
"alias": " - electrical_engineering",
|
| 270 |
"acc,none": 0.2827586206896552,
|
| 271 |
+
"acc_stderr,none": 0.03752833958003337
|
| 272 |
},
|
| 273 |
"mmlu_elementary_mathematics": {
|
| 274 |
"alias": " - elementary_mathematics",
|
| 275 |
"acc,none": 0.2619047619047619,
|
| 276 |
+
"acc_stderr,none": 0.022644212615525218
|
| 277 |
},
|
| 278 |
"mmlu_high_school_biology": {
|
| 279 |
"alias": " - high_school_biology",
|
| 280 |
"acc,none": 0.3967741935483871,
|
| 281 |
+
"acc_stderr,none": 0.027831231605767937
|
| 282 |
},
|
| 283 |
"mmlu_high_school_chemistry": {
|
| 284 |
"alias": " - high_school_chemistry",
|
| 285 |
+
"acc,none": 0.29064039408866993,
|
| 286 |
+
"acc_stderr,none": 0.03194740072265541
|
| 287 |
},
|
| 288 |
"mmlu_high_school_computer_science": {
|
| 289 |
"alias": " - high_school_computer_science",
|
|
|
|
| 293 |
"mmlu_high_school_mathematics": {
|
| 294 |
"alias": " - high_school_mathematics",
|
| 295 |
"acc,none": 0.24814814814814815,
|
| 296 |
+
"acc_stderr,none": 0.0263357394040558
|
| 297 |
},
|
| 298 |
"mmlu_high_school_physics": {
|
| 299 |
"alias": " - high_school_physics",
|
| 300 |
"acc,none": 0.23841059602649006,
|
| 301 |
+
"acc_stderr,none": 0.034791855725996586
|
| 302 |
},
|
| 303 |
"mmlu_high_school_statistics": {
|
| 304 |
"alias": " - high_school_statistics",
|
|
|
|
| 308 |
"mmlu_machine_learning": {
|
| 309 |
"alias": " - machine_learning",
|
| 310 |
"acc,none": 0.2767857142857143,
|
| 311 |
+
"acc_stderr,none": 0.042466243366976256
|
| 312 |
}
|
| 313 |
},
|
| 314 |
"groups": {
|
| 315 |
"mmlu": {
|
| 316 |
+
"acc,none": 0.33086454920951425,
|
| 317 |
+
"acc_stderr,none": 0.060605075693583886,
|
| 318 |
"alias": "mmlu"
|
| 319 |
},
|
| 320 |
"mmlu_humanities": {
|
| 321 |
"alias": " - humanities",
|
| 322 |
+
"acc,none": 0.32561105207226343,
|
| 323 |
+
"acc_stderr,none": 0.0607809456258765
|
| 324 |
},
|
| 325 |
"mmlu_other": {
|
| 326 |
"alias": " - other",
|
| 327 |
+
"acc,none": 0.3662697135500483,
|
| 328 |
+
"acc_stderr,none": 0.049834862065929936
|
| 329 |
},
|
| 330 |
"mmlu_social_sciences": {
|
| 331 |
"alias": " - social_sciences",
|
| 332 |
+
"acc,none": 0.35294117647058826,
|
| 333 |
+
"acc_stderr,none": 0.04972757753075276
|
| 334 |
},
|
| 335 |
"mmlu_stem": {
|
| 336 |
"alias": " - stem",
|
| 337 |
+
"acc,none": 0.28227085315572464,
|
| 338 |
+
"acc_stderr,none": 0.060616974885657864
|
| 339 |
}
|
| 340 |
},
|
| 341 |
"configs": {
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mmlu/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3b745b9a5577b37b71c88189c4f90a73351adea728c6e8c393479fe62176e823
|
| 3 |
+
size 149131
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,429 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"multimedqa": {
|
| 4 |
+
"alias": "stem",
|
| 5 |
+
"acc,none": 0.35358410220014197,
|
| 6 |
+
"acc_stderr,none": 0.09857919062749855,
|
| 7 |
+
"acc_norm,none": 0.32068854393146246,
|
| 8 |
+
"acc_norm_stderr,none": 0.00010226000674634883
|
| 9 |
+
},
|
| 10 |
+
"medmcqa": {
|
| 11 |
+
"acc,none": 0.3265598852498207,
|
| 12 |
+
"acc_stderr,none": 0.007251684390085926,
|
| 13 |
+
"acc_norm,none": 0.3265598852498207,
|
| 14 |
+
"acc_norm_stderr,none": 0.007251684390085926,
|
| 15 |
+
"alias": " - medmcqa"
|
| 16 |
+
},
|
| 17 |
+
"medqa_4options": {
|
| 18 |
+
"acc,none": 0.3102906520031422,
|
| 19 |
+
"acc_stderr,none": 0.012971011562150579,
|
| 20 |
+
"acc_norm,none": 0.3102906520031422,
|
| 21 |
+
"acc_norm_stderr,none": 0.012971011562150579,
|
| 22 |
+
"alias": " - medqa_4options"
|
| 23 |
+
},
|
| 24 |
+
"mmlu_anatomy": {
|
| 25 |
+
"alias": " - anatomy (mmlu)",
|
| 26 |
+
"acc,none": 0.34814814814814815,
|
| 27 |
+
"acc_stderr,none": 0.041153246103369526
|
| 28 |
+
},
|
| 29 |
+
"mmlu_clinical_knowledge": {
|
| 30 |
+
"alias": " - clinical_knowledge (mmlu)",
|
| 31 |
+
"acc,none": 0.3660377358490566,
|
| 32 |
+
"acc_stderr,none": 0.029647813539365256
|
| 33 |
+
},
|
| 34 |
+
"mmlu_college_biology": {
|
| 35 |
+
"alias": " - college_biology (mmlu)",
|
| 36 |
+
"acc,none": 0.3263888888888889,
|
| 37 |
+
"acc_stderr,none": 0.03921067198982266
|
| 38 |
+
},
|
| 39 |
+
"mmlu_college_medicine": {
|
| 40 |
+
"alias": " - college_medicine (mmlu)",
|
| 41 |
+
"acc,none": 0.27167630057803466,
|
| 42 |
+
"acc_stderr,none": 0.0339175032232166
|
| 43 |
+
},
|
| 44 |
+
"mmlu_medical_genetics": {
|
| 45 |
+
"alias": " - medical_genetics (mmlu)",
|
| 46 |
+
"acc,none": 0.31,
|
| 47 |
+
"acc_stderr,none": 0.04648231987117316
|
| 48 |
+
},
|
| 49 |
+
"mmlu_professional_medicine": {
|
| 50 |
+
"alias": " - professional_medicine (mmlu)",
|
| 51 |
+
"acc,none": 0.35294117647058826,
|
| 52 |
+
"acc_stderr,none": 0.029029422815681393
|
| 53 |
+
},
|
| 54 |
+
"pubmedqa": {
|
| 55 |
+
"acc,none": 0.73,
|
| 56 |
+
"acc_stderr,none": 0.019874354831287473,
|
| 57 |
+
"alias": " - pubmedqa"
|
| 58 |
+
}
|
| 59 |
+
},
|
| 60 |
+
"groups": {
|
| 61 |
+
"multimedqa": {
|
| 62 |
+
"alias": "stem",
|
| 63 |
+
"acc,none": 0.35358410220014197,
|
| 64 |
+
"acc_stderr,none": 0.09857919062749855,
|
| 65 |
+
"acc_norm,none": 0.32068854393146246,
|
| 66 |
+
"acc_norm_stderr,none": 0.00010226000674634883
|
| 67 |
+
}
|
| 68 |
+
},
|
| 69 |
+
"configs": {
|
| 70 |
+
"medmcqa": {
|
| 71 |
+
"task": "medmcqa",
|
| 72 |
+
"dataset_path": "medmcqa",
|
| 73 |
+
"training_split": "train",
|
| 74 |
+
"validation_split": "validation",
|
| 75 |
+
"test_split": "validation",
|
| 76 |
+
"doc_to_text": "def doc_to_text(doc) -> str:\n \"\"\"\n Question: <question>\n Choices:\n A. <choice1>\n B. <choice2>\n C. <choice3>\n D. <choice4>\n Answer:\n \"\"\"\n choices = [doc[\"opa\"], doc[\"opb\"], doc[\"opc\"], doc[\"opd\"]]\n option_choices = {'A': choices[0], 'B': choices[1], 'C': choices[2], 'D': choices[3]}\n\n prompt = \"Question: \" + doc[\"question\"] + \"\\nChoices:\\n\"\n for choice, option in option_choices.items():\n prompt += f\"{choice.upper()}. {option}\\n\"\n prompt += \"Answer:\"\n return prompt\n",
|
| 77 |
+
"doc_to_target": "cop",
|
| 78 |
+
"doc_to_choice": [
|
| 79 |
+
"A",
|
| 80 |
+
"B",
|
| 81 |
+
"C",
|
| 82 |
+
"D"
|
| 83 |
+
],
|
| 84 |
+
"description": "",
|
| 85 |
+
"target_delimiter": " ",
|
| 86 |
+
"fewshot_delimiter": "\n\n",
|
| 87 |
+
"metric_list": [
|
| 88 |
+
{
|
| 89 |
+
"metric": "acc",
|
| 90 |
+
"aggregation": "mean",
|
| 91 |
+
"higher_is_better": true
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"metric": "acc_norm",
|
| 95 |
+
"aggregation": "mean",
|
| 96 |
+
"higher_is_better": true
|
| 97 |
+
}
|
| 98 |
+
],
|
| 99 |
+
"output_type": "multiple_choice",
|
| 100 |
+
"repeats": 1,
|
| 101 |
+
"should_decontaminate": true,
|
| 102 |
+
"doc_to_decontamination_query": "{{question}}"
|
| 103 |
+
},
|
| 104 |
+
"medqa_4options": {
|
| 105 |
+
"task": "medqa_4options",
|
| 106 |
+
"dataset_path": "GBaker/MedQA-USMLE-4-options-hf",
|
| 107 |
+
"training_split": "train",
|
| 108 |
+
"validation_split": "validation",
|
| 109 |
+
"test_split": "test",
|
| 110 |
+
"doc_to_text": "def doc_to_text(doc) -> str:\n option_choices = {'A': doc[\"ending0\"], 'B': doc[\"ending1\"], 'C': doc[\"ending2\"], 'D': doc[\"ending3\"]}\n answers = \"\".join((f\"{k}. {v}\\n\") for k, v in option_choices.items())\n return f\"Question: {doc['sent1']}\\n{answers}Answer:\"\n",
|
| 111 |
+
"doc_to_target": "def doc_to_target(doc) -> int:\n return doc[\"label\"]\n",
|
| 112 |
+
"doc_to_choice": [
|
| 113 |
+
"A",
|
| 114 |
+
"B",
|
| 115 |
+
"C",
|
| 116 |
+
"D"
|
| 117 |
+
],
|
| 118 |
+
"description": "",
|
| 119 |
+
"target_delimiter": " ",
|
| 120 |
+
"fewshot_delimiter": "\n\n",
|
| 121 |
+
"metric_list": [
|
| 122 |
+
{
|
| 123 |
+
"metric": "acc",
|
| 124 |
+
"aggregation": "mean",
|
| 125 |
+
"higher_is_better": true
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"metric": "acc_norm",
|
| 129 |
+
"aggregation": "mean",
|
| 130 |
+
"higher_is_better": true
|
| 131 |
+
}
|
| 132 |
+
],
|
| 133 |
+
"output_type": "multiple_choice",
|
| 134 |
+
"repeats": 1,
|
| 135 |
+
"should_decontaminate": false
|
| 136 |
+
},
|
| 137 |
+
"mmlu_anatomy": {
|
| 138 |
+
"task": "mmlu_anatomy",
|
| 139 |
+
"task_alias": "anatomy (mmlu)",
|
| 140 |
+
"group": "multimedqa",
|
| 141 |
+
"group_alias": "stem",
|
| 142 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 143 |
+
"dataset_name": "anatomy",
|
| 144 |
+
"test_split": "test",
|
| 145 |
+
"fewshot_split": "dev",
|
| 146 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 147 |
+
"doc_to_target": "answer",
|
| 148 |
+
"doc_to_choice": [
|
| 149 |
+
"A",
|
| 150 |
+
"B",
|
| 151 |
+
"C",
|
| 152 |
+
"D"
|
| 153 |
+
],
|
| 154 |
+
"description": "The following are multiple choice questions (with answers) about anatomy.\n\n",
|
| 155 |
+
"target_delimiter": " ",
|
| 156 |
+
"fewshot_delimiter": "\n\n",
|
| 157 |
+
"fewshot_config": {
|
| 158 |
+
"sampler": "first_n"
|
| 159 |
+
},
|
| 160 |
+
"metric_list": [
|
| 161 |
+
{
|
| 162 |
+
"metric": "acc",
|
| 163 |
+
"aggregation": "mean",
|
| 164 |
+
"higher_is_better": true
|
| 165 |
+
}
|
| 166 |
+
],
|
| 167 |
+
"output_type": "multiple_choice",
|
| 168 |
+
"repeats": 1,
|
| 169 |
+
"should_decontaminate": false,
|
| 170 |
+
"metadata": {
|
| 171 |
+
"version": 0.0
|
| 172 |
+
}
|
| 173 |
+
},
|
| 174 |
+
"mmlu_clinical_knowledge": {
|
| 175 |
+
"task": "mmlu_clinical_knowledge",
|
| 176 |
+
"task_alias": "clinical_knowledge (mmlu)",
|
| 177 |
+
"group": "multimedqa",
|
| 178 |
+
"group_alias": "other",
|
| 179 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 180 |
+
"dataset_name": "clinical_knowledge",
|
| 181 |
+
"test_split": "test",
|
| 182 |
+
"fewshot_split": "dev",
|
| 183 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 184 |
+
"doc_to_target": "answer",
|
| 185 |
+
"doc_to_choice": [
|
| 186 |
+
"A",
|
| 187 |
+
"B",
|
| 188 |
+
"C",
|
| 189 |
+
"D"
|
| 190 |
+
],
|
| 191 |
+
"description": "The following are multiple choice questions (with answers) about clinical knowledge.\n\n",
|
| 192 |
+
"target_delimiter": " ",
|
| 193 |
+
"fewshot_delimiter": "\n\n",
|
| 194 |
+
"fewshot_config": {
|
| 195 |
+
"sampler": "first_n"
|
| 196 |
+
},
|
| 197 |
+
"metric_list": [
|
| 198 |
+
{
|
| 199 |
+
"metric": "acc",
|
| 200 |
+
"aggregation": "mean",
|
| 201 |
+
"higher_is_better": true
|
| 202 |
+
}
|
| 203 |
+
],
|
| 204 |
+
"output_type": "multiple_choice",
|
| 205 |
+
"repeats": 1,
|
| 206 |
+
"should_decontaminate": false,
|
| 207 |
+
"metadata": {
|
| 208 |
+
"version": 0.0
|
| 209 |
+
}
|
| 210 |
+
},
|
| 211 |
+
"mmlu_college_biology": {
|
| 212 |
+
"task": "mmlu_college_biology",
|
| 213 |
+
"task_alias": "college_biology (mmlu)",
|
| 214 |
+
"group": "multimedqa",
|
| 215 |
+
"group_alias": "stem",
|
| 216 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 217 |
+
"dataset_name": "college_biology",
|
| 218 |
+
"test_split": "test",
|
| 219 |
+
"fewshot_split": "dev",
|
| 220 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 221 |
+
"doc_to_target": "answer",
|
| 222 |
+
"doc_to_choice": [
|
| 223 |
+
"A",
|
| 224 |
+
"B",
|
| 225 |
+
"C",
|
| 226 |
+
"D"
|
| 227 |
+
],
|
| 228 |
+
"description": "The following are multiple choice questions (with answers) about college biology.\n\n",
|
| 229 |
+
"target_delimiter": " ",
|
| 230 |
+
"fewshot_delimiter": "\n\n",
|
| 231 |
+
"fewshot_config": {
|
| 232 |
+
"sampler": "first_n"
|
| 233 |
+
},
|
| 234 |
+
"metric_list": [
|
| 235 |
+
{
|
| 236 |
+
"metric": "acc",
|
| 237 |
+
"aggregation": "mean",
|
| 238 |
+
"higher_is_better": true
|
| 239 |
+
}
|
| 240 |
+
],
|
| 241 |
+
"output_type": "multiple_choice",
|
| 242 |
+
"repeats": 1,
|
| 243 |
+
"should_decontaminate": false,
|
| 244 |
+
"metadata": {
|
| 245 |
+
"version": 0.0
|
| 246 |
+
}
|
| 247 |
+
},
|
| 248 |
+
"mmlu_college_medicine": {
|
| 249 |
+
"task": "mmlu_college_medicine",
|
| 250 |
+
"task_alias": "college_medicine (mmlu)",
|
| 251 |
+
"group": "multimedqa",
|
| 252 |
+
"group_alias": "other",
|
| 253 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 254 |
+
"dataset_name": "college_medicine",
|
| 255 |
+
"test_split": "test",
|
| 256 |
+
"fewshot_split": "dev",
|
| 257 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 258 |
+
"doc_to_target": "answer",
|
| 259 |
+
"doc_to_choice": [
|
| 260 |
+
"A",
|
| 261 |
+
"B",
|
| 262 |
+
"C",
|
| 263 |
+
"D"
|
| 264 |
+
],
|
| 265 |
+
"description": "The following are multiple choice questions (with answers) about college medicine.\n\n",
|
| 266 |
+
"target_delimiter": " ",
|
| 267 |
+
"fewshot_delimiter": "\n\n",
|
| 268 |
+
"fewshot_config": {
|
| 269 |
+
"sampler": "first_n"
|
| 270 |
+
},
|
| 271 |
+
"metric_list": [
|
| 272 |
+
{
|
| 273 |
+
"metric": "acc",
|
| 274 |
+
"aggregation": "mean",
|
| 275 |
+
"higher_is_better": true
|
| 276 |
+
}
|
| 277 |
+
],
|
| 278 |
+
"output_type": "multiple_choice",
|
| 279 |
+
"repeats": 1,
|
| 280 |
+
"should_decontaminate": false,
|
| 281 |
+
"metadata": {
|
| 282 |
+
"version": 0.0
|
| 283 |
+
}
|
| 284 |
+
},
|
| 285 |
+
"mmlu_medical_genetics": {
|
| 286 |
+
"task": "mmlu_medical_genetics",
|
| 287 |
+
"task_alias": "medical_genetics (mmlu)",
|
| 288 |
+
"group": "multimedqa",
|
| 289 |
+
"group_alias": "other",
|
| 290 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 291 |
+
"dataset_name": "medical_genetics",
|
| 292 |
+
"test_split": "test",
|
| 293 |
+
"fewshot_split": "dev",
|
| 294 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 295 |
+
"doc_to_target": "answer",
|
| 296 |
+
"doc_to_choice": [
|
| 297 |
+
"A",
|
| 298 |
+
"B",
|
| 299 |
+
"C",
|
| 300 |
+
"D"
|
| 301 |
+
],
|
| 302 |
+
"description": "The following are multiple choice questions (with answers) about medical genetics.\n\n",
|
| 303 |
+
"target_delimiter": " ",
|
| 304 |
+
"fewshot_delimiter": "\n\n",
|
| 305 |
+
"fewshot_config": {
|
| 306 |
+
"sampler": "first_n"
|
| 307 |
+
},
|
| 308 |
+
"metric_list": [
|
| 309 |
+
{
|
| 310 |
+
"metric": "acc",
|
| 311 |
+
"aggregation": "mean",
|
| 312 |
+
"higher_is_better": true
|
| 313 |
+
}
|
| 314 |
+
],
|
| 315 |
+
"output_type": "multiple_choice",
|
| 316 |
+
"repeats": 1,
|
| 317 |
+
"should_decontaminate": false,
|
| 318 |
+
"metadata": {
|
| 319 |
+
"version": 0.0
|
| 320 |
+
}
|
| 321 |
+
},
|
| 322 |
+
"mmlu_professional_medicine": {
|
| 323 |
+
"task": "mmlu_professional_medicine",
|
| 324 |
+
"task_alias": "professional_medicine (mmlu)",
|
| 325 |
+
"group": "multimedqa",
|
| 326 |
+
"group_alias": "other",
|
| 327 |
+
"dataset_path": "hails/mmlu_no_train",
|
| 328 |
+
"dataset_name": "professional_medicine",
|
| 329 |
+
"test_split": "test",
|
| 330 |
+
"fewshot_split": "dev",
|
| 331 |
+
"doc_to_text": "{{question.strip()}}\nA. {{choices[0]}}\nB. {{choices[1]}}\nC. {{choices[2]}}\nD. {{choices[3]}}\nAnswer:",
|
| 332 |
+
"doc_to_target": "answer",
|
| 333 |
+
"doc_to_choice": [
|
| 334 |
+
"A",
|
| 335 |
+
"B",
|
| 336 |
+
"C",
|
| 337 |
+
"D"
|
| 338 |
+
],
|
| 339 |
+
"description": "The following are multiple choice questions (with answers) about professional medicine.\n\n",
|
| 340 |
+
"target_delimiter": " ",
|
| 341 |
+
"fewshot_delimiter": "\n\n",
|
| 342 |
+
"fewshot_config": {
|
| 343 |
+
"sampler": "first_n"
|
| 344 |
+
},
|
| 345 |
+
"metric_list": [
|
| 346 |
+
{
|
| 347 |
+
"metric": "acc",
|
| 348 |
+
"aggregation": "mean",
|
| 349 |
+
"higher_is_better": true
|
| 350 |
+
}
|
| 351 |
+
],
|
| 352 |
+
"output_type": "multiple_choice",
|
| 353 |
+
"repeats": 1,
|
| 354 |
+
"should_decontaminate": false,
|
| 355 |
+
"metadata": {
|
| 356 |
+
"version": 0.0
|
| 357 |
+
}
|
| 358 |
+
},
|
| 359 |
+
"pubmedqa": {
|
| 360 |
+
"task": "pubmedqa",
|
| 361 |
+
"dataset_path": "bigbio/pubmed_qa",
|
| 362 |
+
"dataset_name": "pubmed_qa_labeled_fold0_source",
|
| 363 |
+
"training_split": "train",
|
| 364 |
+
"validation_split": "validation",
|
| 365 |
+
"test_split": "test",
|
| 366 |
+
"doc_to_text": "def doc_to_text(doc) -> str:\n ctxs = \"\\n\".join(doc[\"CONTEXTS\"])\n return \"Abstract: {}\\nQuestion: {}\\nAnswer:\".format(\n ctxs,\n doc[\"QUESTION\"],\n )\n",
|
| 367 |
+
"doc_to_target": "final_decision",
|
| 368 |
+
"doc_to_choice": [
|
| 369 |
+
"yes",
|
| 370 |
+
"no",
|
| 371 |
+
"maybe"
|
| 372 |
+
],
|
| 373 |
+
"description": "",
|
| 374 |
+
"target_delimiter": " ",
|
| 375 |
+
"fewshot_delimiter": "\n\n",
|
| 376 |
+
"metric_list": [
|
| 377 |
+
{
|
| 378 |
+
"metric": "acc",
|
| 379 |
+
"aggregation": "mean",
|
| 380 |
+
"higher_is_better": true
|
| 381 |
+
}
|
| 382 |
+
],
|
| 383 |
+
"output_type": "multiple_choice",
|
| 384 |
+
"repeats": 1,
|
| 385 |
+
"should_decontaminate": false,
|
| 386 |
+
"metadata": {
|
| 387 |
+
"version": 1.0
|
| 388 |
+
}
|
| 389 |
+
}
|
| 390 |
+
},
|
| 391 |
+
"versions": {
|
| 392 |
+
"medmcqa": "Yaml",
|
| 393 |
+
"medqa_4options": "Yaml",
|
| 394 |
+
"mmlu_anatomy": 0.0,
|
| 395 |
+
"mmlu_clinical_knowledge": 0.0,
|
| 396 |
+
"mmlu_college_biology": 0.0,
|
| 397 |
+
"mmlu_college_medicine": 0.0,
|
| 398 |
+
"mmlu_medical_genetics": 0.0,
|
| 399 |
+
"mmlu_professional_medicine": 0.0,
|
| 400 |
+
"multimedqa": "N/A",
|
| 401 |
+
"pubmedqa": 1.0
|
| 402 |
+
},
|
| 403 |
+
"n-shot": {
|
| 404 |
+
"medmcqa": 0,
|
| 405 |
+
"medqa_4options": 0,
|
| 406 |
+
"mmlu_anatomy": 0,
|
| 407 |
+
"mmlu_clinical_knowledge": 0,
|
| 408 |
+
"mmlu_college_biology": 0,
|
| 409 |
+
"mmlu_college_medicine": 0,
|
| 410 |
+
"mmlu_medical_genetics": 0,
|
| 411 |
+
"mmlu_professional_medicine": 0,
|
| 412 |
+
"multimedqa": 0,
|
| 413 |
+
"pubmedqa": 0
|
| 414 |
+
},
|
| 415 |
+
"config": {
|
| 416 |
+
"model": "hf",
|
| 417 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 418 |
+
"batch_size": "auto",
|
| 419 |
+
"batch_sizes": [
|
| 420 |
+
16
|
| 421 |
+
],
|
| 422 |
+
"device": null,
|
| 423 |
+
"use_cache": null,
|
| 424 |
+
"limit": null,
|
| 425 |
+
"bootstrap_iters": 100000,
|
| 426 |
+
"gen_kwargs": null
|
| 427 |
+
},
|
| 428 |
+
"git_hash": "8281e96"
|
| 429 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multimedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b7173387d354278e08e045e8571c3eef57a62b86eb1569b4d3ef5f3f7104494
|
| 3 |
+
size 60906
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"multirc": {
|
| 4 |
+
"acc,none": 0.49257425742574257,
|
| 5 |
+
"acc_stderr,none": 0.007181011029317661,
|
| 6 |
+
"alias": "multirc"
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"configs": {
|
| 10 |
+
"multirc": {
|
| 11 |
+
"task": "multirc",
|
| 12 |
+
"group": [
|
| 13 |
+
"super-glue-lm-eval-v1"
|
| 14 |
+
],
|
| 15 |
+
"dataset_path": "super_glue",
|
| 16 |
+
"dataset_name": "multirc",
|
| 17 |
+
"training_split": "train",
|
| 18 |
+
"validation_split": "validation",
|
| 19 |
+
"doc_to_text": "{{paragraph}}\nQuestion: {{question}}\nAnswer:",
|
| 20 |
+
"doc_to_target": "label",
|
| 21 |
+
"doc_to_choice": "['''{{answer}}\\nIs the answer correct? yes''', '''{{answer}}\\nIs the answer correct? no''']",
|
| 22 |
+
"description": "",
|
| 23 |
+
"target_delimiter": " ",
|
| 24 |
+
"fewshot_delimiter": "\n\n",
|
| 25 |
+
"metric_list": [
|
| 26 |
+
{
|
| 27 |
+
"metric": "acc"
|
| 28 |
+
}
|
| 29 |
+
],
|
| 30 |
+
"output_type": "multiple_choice",
|
| 31 |
+
"repeats": 1,
|
| 32 |
+
"should_decontaminate": false,
|
| 33 |
+
"metadata": {
|
| 34 |
+
"version": 2.0
|
| 35 |
+
}
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"versions": {
|
| 39 |
+
"multirc": 2.0
|
| 40 |
+
},
|
| 41 |
+
"n-shot": {
|
| 42 |
+
"multirc": 0
|
| 43 |
+
},
|
| 44 |
+
"config": {
|
| 45 |
+
"model": "hf",
|
| 46 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 47 |
+
"batch_size": "auto",
|
| 48 |
+
"batch_sizes": [
|
| 49 |
+
32
|
| 50 |
+
],
|
| 51 |
+
"device": null,
|
| 52 |
+
"use_cache": null,
|
| 53 |
+
"limit": null,
|
| 54 |
+
"bootstrap_iters": 100000,
|
| 55 |
+
"gen_kwargs": null
|
| 56 |
+
},
|
| 57 |
+
"git_hash": "8281e96"
|
| 58 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/multirc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:210d3cb22fa8afecd2424263a6d2c02d5c2da9bf81c0643f92b6e92d778e4492
|
| 3 |
+
size 47571
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"mutual": {
|
| 4 |
+
"r@1,none": 0.22573363431151242,
|
| 5 |
+
"r@1_stderr,none": 0.014053085820407473,
|
| 6 |
+
"r@2,none": 0.4221218961625282,
|
| 7 |
+
"r@2_stderr,none": 0.01660219170551757,
|
| 8 |
+
"mrr,none": 0.7004326577582155,
|
| 9 |
+
"mrr_stderr,none": 0.010311480723006769,
|
| 10 |
+
"alias": "mutual"
|
| 11 |
+
}
|
| 12 |
+
},
|
| 13 |
+
"configs": {
|
| 14 |
+
"mutual": {
|
| 15 |
+
"task": "mutual",
|
| 16 |
+
"dataset_path": "EleutherAI/mutual",
|
| 17 |
+
"dataset_name": "mutual",
|
| 18 |
+
"training_split": "train",
|
| 19 |
+
"validation_split": "validation",
|
| 20 |
+
"process_docs": "def process_docs(dataset):\n def _detokenize(text):\n text = text.replace(\" '\", \"'\")\n text = text.replace(\" \\n\", \"\\n\")\n text = text.replace(\"\\n \", \"\\n\")\n text = text.replace(\" n't\", \"n't\")\n text = text.replace(\"`` \", '\"')\n text = text.replace(\"''\", '\"')\n # punctuation\n text = text.replace(\" :\", \":\")\n text = text.replace(\" ;\", \";\")\n text = text.replace(\" !\", \"!\")\n text = text.replace(\" ?\", \"?\")\n text = text.replace(\" ,\", \",\")\n text = text.replace(\" .\", \".\")\n return text\n\n def _process(doc):\n return {\n \"article\": _detokenize(doc[\"article\"]),\n \"options\": [_detokenize(option) for option in doc[\"options\"]],\n }\n\n return dataset.map(_process)\n",
|
| 21 |
+
"doc_to_text": "{{article}}",
|
| 22 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answers)}}",
|
| 23 |
+
"doc_to_choice": "{{options}}",
|
| 24 |
+
"process_results": "def process_results(doc, results):\n gold = [\"A\", \"B\", \"C\", \"D\"].index(doc[\"answers\"])\n r4_1 = np.argmax(results) == gold # r4_1 = accuracy\n ranks = sorted(results, reverse=True)\n r4_2 = (ranks.index(results[gold]) == 1) + r4_1\n mrr = 1.0 / (ranks.index(results[gold]) + 1) # `+ 1` for index offset\n return {\"r@1\": r4_1, \"r@2\": r4_2, \"mrr\": mrr}\n",
|
| 25 |
+
"description": "",
|
| 26 |
+
"target_delimiter": " ",
|
| 27 |
+
"fewshot_delimiter": "\n\n",
|
| 28 |
+
"metric_list": [
|
| 29 |
+
{
|
| 30 |
+
"metric": "r@1",
|
| 31 |
+
"aggregation": "mean",
|
| 32 |
+
"higher_is_better": true
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"metric": "r@2",
|
| 36 |
+
"aggregation": "mean",
|
| 37 |
+
"higher_is_better": true
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"metric": "mrr",
|
| 41 |
+
"aggregation": "mean",
|
| 42 |
+
"higher_is_better": true
|
| 43 |
+
}
|
| 44 |
+
],
|
| 45 |
+
"output_type": "multiple_choice",
|
| 46 |
+
"repeats": 1,
|
| 47 |
+
"should_decontaminate": true,
|
| 48 |
+
"doc_to_decontamination_query": "{{article}}",
|
| 49 |
+
"metadata": {
|
| 50 |
+
"version": 2.0
|
| 51 |
+
}
|
| 52 |
+
}
|
| 53 |
+
},
|
| 54 |
+
"versions": {
|
| 55 |
+
"mutual": 2.0
|
| 56 |
+
},
|
| 57 |
+
"n-shot": {
|
| 58 |
+
"mutual": 0
|
| 59 |
+
},
|
| 60 |
+
"config": {
|
| 61 |
+
"model": "hf",
|
| 62 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 63 |
+
"batch_size": "auto",
|
| 64 |
+
"batch_sizes": [
|
| 65 |
+
64
|
| 66 |
+
],
|
| 67 |
+
"device": null,
|
| 68 |
+
"use_cache": null,
|
| 69 |
+
"limit": null,
|
| 70 |
+
"bootstrap_iters": 100000,
|
| 71 |
+
"gen_kwargs": null
|
| 72 |
+
},
|
| 73 |
+
"git_hash": "8281e96"
|
| 74 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cef319db9b4b609ce245fc80708acc8d53884bb373492d70b4ea36eb8ac307f5
|
| 3 |
+
size 50696
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,74 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"mutual_plus": {
|
| 4 |
+
"r@1,none": 0.2595936794582393,
|
| 5 |
+
"r@1_stderr,none": 0.014737047402750952,
|
| 6 |
+
"r@2,none": 0.463882618510158,
|
| 7 |
+
"r@2_stderr,none": 0.016763409667403396,
|
| 8 |
+
"mrr,none": 0.6583897683676962,
|
| 9 |
+
"mrr_stderr,none": 0.010460590295448532,
|
| 10 |
+
"alias": "mutual_plus"
|
| 11 |
+
}
|
| 12 |
+
},
|
| 13 |
+
"configs": {
|
| 14 |
+
"mutual_plus": {
|
| 15 |
+
"task": "mutual_plus",
|
| 16 |
+
"dataset_path": "EleutherAI/mutual",
|
| 17 |
+
"dataset_name": "mutual_plus",
|
| 18 |
+
"training_split": "train",
|
| 19 |
+
"validation_split": "validation",
|
| 20 |
+
"process_docs": "def process_docs(dataset):\n def _detokenize(text):\n text = text.replace(\" '\", \"'\")\n text = text.replace(\" \\n\", \"\\n\")\n text = text.replace(\"\\n \", \"\\n\")\n text = text.replace(\" n't\", \"n't\")\n text = text.replace(\"`` \", '\"')\n text = text.replace(\"''\", '\"')\n # punctuation\n text = text.replace(\" :\", \":\")\n text = text.replace(\" ;\", \";\")\n text = text.replace(\" !\", \"!\")\n text = text.replace(\" ?\", \"?\")\n text = text.replace(\" ,\", \",\")\n text = text.replace(\" .\", \".\")\n return text\n\n def _process(doc):\n return {\n \"article\": _detokenize(doc[\"article\"]),\n \"options\": [_detokenize(option) for option in doc[\"options\"]],\n }\n\n return dataset.map(_process)\n",
|
| 21 |
+
"doc_to_text": "{{article}}",
|
| 22 |
+
"doc_to_target": "{{['A', 'B', 'C', 'D'].index(answers)}}",
|
| 23 |
+
"doc_to_choice": "{{options}}",
|
| 24 |
+
"process_results": "def process_results(doc, results):\n gold = [\"A\", \"B\", \"C\", \"D\"].index(doc[\"answers\"])\n r4_1 = np.argmax(results) == gold # r4_1 = accuracy\n ranks = sorted(results, reverse=True)\n r4_2 = (ranks.index(results[gold]) == 1) + r4_1\n mrr = 1.0 / (ranks.index(results[gold]) + 1) # `+ 1` for index offset\n return {\"r@1\": r4_1, \"r@2\": r4_2, \"mrr\": mrr}\n",
|
| 25 |
+
"description": "",
|
| 26 |
+
"target_delimiter": " ",
|
| 27 |
+
"fewshot_delimiter": "\n\n",
|
| 28 |
+
"metric_list": [
|
| 29 |
+
{
|
| 30 |
+
"metric": "r@1",
|
| 31 |
+
"aggregation": "mean",
|
| 32 |
+
"higher_is_better": true
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"metric": "r@2",
|
| 36 |
+
"aggregation": "mean",
|
| 37 |
+
"higher_is_better": true
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"metric": "mrr",
|
| 41 |
+
"aggregation": "mean",
|
| 42 |
+
"higher_is_better": true
|
| 43 |
+
}
|
| 44 |
+
],
|
| 45 |
+
"output_type": "multiple_choice",
|
| 46 |
+
"repeats": 1,
|
| 47 |
+
"should_decontaminate": true,
|
| 48 |
+
"doc_to_decontamination_query": "{{article}}",
|
| 49 |
+
"metadata": {
|
| 50 |
+
"version": 2.0
|
| 51 |
+
}
|
| 52 |
+
}
|
| 53 |
+
},
|
| 54 |
+
"versions": {
|
| 55 |
+
"mutual_plus": 2.0
|
| 56 |
+
},
|
| 57 |
+
"n-shot": {
|
| 58 |
+
"mutual_plus": 0
|
| 59 |
+
},
|
| 60 |
+
"config": {
|
| 61 |
+
"model": "hf",
|
| 62 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 63 |
+
"batch_size": "auto",
|
| 64 |
+
"batch_sizes": [
|
| 65 |
+
64
|
| 66 |
+
],
|
| 67 |
+
"device": null,
|
| 68 |
+
"use_cache": null,
|
| 69 |
+
"limit": null,
|
| 70 |
+
"bootstrap_iters": 100000,
|
| 71 |
+
"gen_kwargs": null
|
| 72 |
+
},
|
| 73 |
+
"git_hash": "8281e96"
|
| 74 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/mutual_plus/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fc89a5e0d37c1e4a95893062aedb50b98b09cbc1dfd53bfdf254d430d07f1136
|
| 3 |
+
size 51801
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/piqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4779f4c23626f1749c089a7511a0da837ac7867f558dc956def2ec1d09b5433f
|
| 3 |
+
size 42146
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/prost/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"prost": {
|
| 4 |
+
"acc,none": 0.24338172502134928,
|
| 5 |
+
"acc_stderr,none": 0.0031351299519620946,
|
| 6 |
+
"acc_norm,none": 0.28031596925704527,
|
| 7 |
+
"acc_norm_stderr,none": 0.0032814667207950675,
|
| 8 |
+
"alias": "prost"
|
| 9 |
+
}
|
| 10 |
+
},
|
| 11 |
+
"configs": {
|
| 12 |
+
"prost": {
|
| 13 |
+
"task": "prost",
|
| 14 |
+
"dataset_path": "corypaik/prost",
|
| 15 |
+
"test_split": "test",
|
| 16 |
+
"doc_to_text": "{{context}}\nQuestion: {{ex_question}}\nAnswer:",
|
| 17 |
+
"doc_to_target": "label",
|
| 18 |
+
"doc_to_choice": "{{[A, B, C, D]}}",
|
| 19 |
+
"description": "",
|
| 20 |
+
"target_delimiter": " ",
|
| 21 |
+
"fewshot_delimiter": "\n\n",
|
| 22 |
+
"metric_list": [
|
| 23 |
+
{
|
| 24 |
+
"metric": "acc",
|
| 25 |
+
"aggregation": "mean",
|
| 26 |
+
"higher_is_better": true
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"metric": "acc_norm",
|
| 30 |
+
"aggregation": "mean",
|
| 31 |
+
"higher_is_better": true
|
| 32 |
+
}
|
| 33 |
+
],
|
| 34 |
+
"output_type": "multiple_choice",
|
| 35 |
+
"repeats": 1,
|
| 36 |
+
"should_decontaminate": true,
|
| 37 |
+
"doc_to_decontamination_query": "{{context}}\nQuestion: {{ex_question}}\nAnswer:",
|
| 38 |
+
"metadata": {
|
| 39 |
+
"version": 1.0
|
| 40 |
+
}
|
| 41 |
+
}
|
| 42 |
+
},
|
| 43 |
+
"versions": {
|
| 44 |
+
"prost": 1.0
|
| 45 |
+
},
|
| 46 |
+
"n-shot": {
|
| 47 |
+
"prost": 0
|
| 48 |
+
},
|
| 49 |
+
"config": {
|
| 50 |
+
"model": "hf",
|
| 51 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 52 |
+
"batch_size": "auto",
|
| 53 |
+
"batch_sizes": [
|
| 54 |
+
64
|
| 55 |
+
],
|
| 56 |
+
"device": null,
|
| 57 |
+
"use_cache": null,
|
| 58 |
+
"limit": null,
|
| 59 |
+
"bootstrap_iters": 100000,
|
| 60 |
+
"gen_kwargs": null
|
| 61 |
+
},
|
| 62 |
+
"git_hash": "8281e96"
|
| 63 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/prost/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:582e4b78a9101bacc705ef1d09c098d5830bfe561bca7e4b45fa7063f0933e08
|
| 3 |
+
size 53887
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"pubmedqa": {
|
| 4 |
+
"acc,none": 0.73,
|
| 5 |
+
"acc_stderr,none": 0.01987435483128749,
|
| 6 |
+
"alias": "pubmedqa"
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"configs": {
|
| 10 |
+
"pubmedqa": {
|
| 11 |
+
"task": "pubmedqa",
|
| 12 |
+
"dataset_path": "bigbio/pubmed_qa",
|
| 13 |
+
"dataset_name": "pubmed_qa_labeled_fold0_source",
|
| 14 |
+
"training_split": "train",
|
| 15 |
+
"validation_split": "validation",
|
| 16 |
+
"test_split": "test",
|
| 17 |
+
"doc_to_text": "def doc_to_text(doc) -> str:\n ctxs = \"\\n\".join(doc[\"CONTEXTS\"])\n return \"Abstract: {}\\nQuestion: {}\\nAnswer:\".format(\n ctxs,\n doc[\"QUESTION\"],\n )\n",
|
| 18 |
+
"doc_to_target": "final_decision",
|
| 19 |
+
"doc_to_choice": [
|
| 20 |
+
"yes",
|
| 21 |
+
"no",
|
| 22 |
+
"maybe"
|
| 23 |
+
],
|
| 24 |
+
"description": "",
|
| 25 |
+
"target_delimiter": " ",
|
| 26 |
+
"fewshot_delimiter": "\n\n",
|
| 27 |
+
"metric_list": [
|
| 28 |
+
{
|
| 29 |
+
"metric": "acc",
|
| 30 |
+
"aggregation": "mean",
|
| 31 |
+
"higher_is_better": true
|
| 32 |
+
}
|
| 33 |
+
],
|
| 34 |
+
"output_type": "multiple_choice",
|
| 35 |
+
"repeats": 1,
|
| 36 |
+
"should_decontaminate": false,
|
| 37 |
+
"metadata": {
|
| 38 |
+
"version": 1.0
|
| 39 |
+
}
|
| 40 |
+
}
|
| 41 |
+
},
|
| 42 |
+
"versions": {
|
| 43 |
+
"pubmedqa": 1.0
|
| 44 |
+
},
|
| 45 |
+
"n-shot": {
|
| 46 |
+
"pubmedqa": 0
|
| 47 |
+
},
|
| 48 |
+
"config": {
|
| 49 |
+
"model": "hf",
|
| 50 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 51 |
+
"batch_size": "auto",
|
| 52 |
+
"batch_sizes": [
|
| 53 |
+
32
|
| 54 |
+
],
|
| 55 |
+
"device": null,
|
| 56 |
+
"use_cache": null,
|
| 57 |
+
"limit": null,
|
| 58 |
+
"bootstrap_iters": 100000,
|
| 59 |
+
"gen_kwargs": null
|
| 60 |
+
},
|
| 61 |
+
"git_hash": "8281e96"
|
| 62 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pubmedqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c8be040043f48fa6bb045726f655899436ce74a363bdcd3aee21ee6ceec698bf
|
| 3 |
+
size 43156
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
CHANGED
|
@@ -1,18 +1,18 @@
|
|
| 1 |
{
|
| 2 |
"results": {
|
| 3 |
"pythia": {
|
| 4 |
-
"acc,none": 0.
|
| 5 |
-
"acc_stderr,none": 0.
|
| 6 |
"acc_norm,none": 0.6280221175210029,
|
| 7 |
"acc_norm_stderr,none": 0.010330170441803736,
|
| 8 |
-
"word_perplexity,none": 10.
|
| 9 |
"word_perplexity_stderr,none": "N/A",
|
| 10 |
-
"byte_perplexity,none": 1.
|
| 11 |
"byte_perplexity_stderr,none": "N/A",
|
| 12 |
-
"bits_per_byte,none": 0.
|
| 13 |
"bits_per_byte_stderr,none": "N/A",
|
| 14 |
-
"perplexity,none": 3.
|
| 15 |
-
"perplexity_stderr,none": 0.
|
| 16 |
"alias": "pythia"
|
| 17 |
},
|
| 18 |
"ai2_arc": {
|
|
@@ -24,46 +24,46 @@
|
|
| 24 |
},
|
| 25 |
"arc_challenge": {
|
| 26 |
"acc,none": 0.39761092150170646,
|
| 27 |
-
"acc_stderr,none": 0.
|
| 28 |
"acc_norm,none": 0.4308873720136519,
|
| 29 |
-
"acc_norm_stderr,none": 0.
|
| 30 |
"alias": " - arc_challenge"
|
| 31 |
},
|
| 32 |
"arc_easy": {
|
| 33 |
"acc,none": 0.7369528619528619,
|
| 34 |
"acc_stderr,none": 0.00903451489886582,
|
| 35 |
"acc_norm,none": 0.7192760942760943,
|
| 36 |
-
"acc_norm_stderr,none": 0.
|
| 37 |
"alias": " - arc_easy"
|
| 38 |
},
|
| 39 |
"blimp": {
|
| 40 |
"acc,none": 0.8386865671641791,
|
| 41 |
-
"acc_stderr,none": 0.
|
| 42 |
"alias": " - blimp"
|
| 43 |
},
|
| 44 |
"blimp_adjunct_island": {
|
| 45 |
"acc,none": 0.913,
|
| 46 |
-
"acc_stderr,none": 0.
|
| 47 |
"alias": " - blimp_adjunct_island"
|
| 48 |
},
|
| 49 |
"blimp_anaphor_gender_agreement": {
|
| 50 |
"acc,none": 0.988,
|
| 51 |
-
"acc_stderr,none": 0.
|
| 52 |
"alias": " - blimp_anaphor_gender_agreement"
|
| 53 |
},
|
| 54 |
"blimp_anaphor_number_agreement": {
|
| 55 |
"acc,none": 0.999,
|
| 56 |
-
"acc_stderr,none": 0.
|
| 57 |
"alias": " - blimp_anaphor_number_agreement"
|
| 58 |
},
|
| 59 |
"blimp_animate_subject_passive": {
|
| 60 |
-
"acc,none": 0.
|
| 61 |
-
"acc_stderr,none": 0.
|
| 62 |
"alias": " - blimp_animate_subject_passive"
|
| 63 |
},
|
| 64 |
"blimp_animate_subject_trans": {
|
| 65 |
"acc,none": 0.912,
|
| 66 |
-
"acc_stderr,none": 0.
|
| 67 |
"alias": " - blimp_animate_subject_trans"
|
| 68 |
},
|
| 69 |
"blimp_causative": {
|
|
@@ -83,17 +83,17 @@
|
|
| 83 |
},
|
| 84 |
"blimp_coordinate_structure_constraint_object_extraction": {
|
| 85 |
"acc,none": 0.861,
|
| 86 |
-
"acc_stderr,none": 0.
|
| 87 |
"alias": " - blimp_coordinate_structure_constraint_object_extraction"
|
| 88 |
},
|
| 89 |
"blimp_determiner_noun_agreement_1": {
|
| 90 |
"acc,none": 0.997,
|
| 91 |
-
"acc_stderr,none": 0.
|
| 92 |
"alias": " - blimp_determiner_noun_agreement_1"
|
| 93 |
},
|
| 94 |
"blimp_determiner_noun_agreement_2": {
|
| 95 |
"acc,none": 0.986,
|
| 96 |
-
"acc_stderr,none": 0.
|
| 97 |
"alias": " - blimp_determiner_noun_agreement_2"
|
| 98 |
},
|
| 99 |
"blimp_determiner_noun_agreement_irregular_1": {
|
|
@@ -103,17 +103,17 @@
|
|
| 103 |
},
|
| 104 |
"blimp_determiner_noun_agreement_irregular_2": {
|
| 105 |
"acc,none": 0.965,
|
| 106 |
-
"acc_stderr,none": 0.
|
| 107 |
"alias": " - blimp_determiner_noun_agreement_irregular_2"
|
| 108 |
},
|
| 109 |
"blimp_determiner_noun_agreement_with_adj_2": {
|
| 110 |
"acc,none": 0.964,
|
| 111 |
-
"acc_stderr,none": 0.
|
| 112 |
"alias": " - blimp_determiner_noun_agreement_with_adj_2"
|
| 113 |
},
|
| 114 |
"blimp_determiner_noun_agreement_with_adj_irregular_1": {
|
| 115 |
"acc,none": 0.938,
|
| 116 |
-
"acc_stderr,none": 0.
|
| 117 |
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_1"
|
| 118 |
},
|
| 119 |
"blimp_determiner_noun_agreement_with_adj_irregular_2": {
|
|
@@ -123,72 +123,72 @@
|
|
| 123 |
},
|
| 124 |
"blimp_determiner_noun_agreement_with_adjective_1": {
|
| 125 |
"acc,none": 0.98,
|
| 126 |
-
"acc_stderr,none": 0.
|
| 127 |
"alias": " - blimp_determiner_noun_agreement_with_adjective_1"
|
| 128 |
},
|
| 129 |
"blimp_distractor_agreement_relational_noun": {
|
| 130 |
"acc,none": 0.926,
|
| 131 |
-
"acc_stderr,none": 0.
|
| 132 |
"alias": " - blimp_distractor_agreement_relational_noun"
|
| 133 |
},
|
| 134 |
"blimp_distractor_agreement_relative_clause": {
|
| 135 |
-
"acc,none": 0.
|
| 136 |
-
"acc_stderr,none": 0.
|
| 137 |
"alias": " - blimp_distractor_agreement_relative_clause"
|
| 138 |
},
|
| 139 |
"blimp_drop_argument": {
|
| 140 |
-
"acc,none": 0.
|
| 141 |
-
"acc_stderr,none": 0.
|
| 142 |
"alias": " - blimp_drop_argument"
|
| 143 |
},
|
| 144 |
"blimp_ellipsis_n_bar_1": {
|
| 145 |
"acc,none": 0.81,
|
| 146 |
-
"acc_stderr,none": 0.
|
| 147 |
"alias": " - blimp_ellipsis_n_bar_1"
|
| 148 |
},
|
| 149 |
"blimp_ellipsis_n_bar_2": {
|
| 150 |
-
"acc,none": 0.
|
| 151 |
-
"acc_stderr,none": 0.
|
| 152 |
"alias": " - blimp_ellipsis_n_bar_2"
|
| 153 |
},
|
| 154 |
"blimp_existential_there_object_raising": {
|
| 155 |
"acc,none": 0.832,
|
| 156 |
-
"acc_stderr,none": 0.
|
| 157 |
"alias": " - blimp_existential_there_object_raising"
|
| 158 |
},
|
| 159 |
"blimp_existential_there_quantifiers_1": {
|
| 160 |
"acc,none": 0.984,
|
| 161 |
-
"acc_stderr,none": 0.
|
| 162 |
"alias": " - blimp_existential_there_quantifiers_1"
|
| 163 |
},
|
| 164 |
"blimp_existential_there_quantifiers_2": {
|
| 165 |
"acc,none": 0.431,
|
| 166 |
-
"acc_stderr,none": 0.
|
| 167 |
"alias": " - blimp_existential_there_quantifiers_2"
|
| 168 |
},
|
| 169 |
"blimp_existential_there_subject_raising": {
|
| 170 |
"acc,none": 0.853,
|
| 171 |
-
"acc_stderr,none": 0.
|
| 172 |
"alias": " - blimp_existential_there_subject_raising"
|
| 173 |
},
|
| 174 |
"blimp_expletive_it_object_raising": {
|
| 175 |
"acc,none": 0.795,
|
| 176 |
-
"acc_stderr,none": 0.
|
| 177 |
"alias": " - blimp_expletive_it_object_raising"
|
| 178 |
},
|
| 179 |
"blimp_inchoative": {
|
| 180 |
"acc,none": 0.686,
|
| 181 |
-
"acc_stderr,none": 0.
|
| 182 |
"alias": " - blimp_inchoative"
|
| 183 |
},
|
| 184 |
"blimp_intransitive": {
|
| 185 |
"acc,none": 0.851,
|
| 186 |
-
"acc_stderr,none": 0.
|
| 187 |
"alias": " - blimp_intransitive"
|
| 188 |
},
|
| 189 |
"blimp_irregular_past_participle_adjectives": {
|
| 190 |
"acc,none": 0.939,
|
| 191 |
-
"acc_stderr,none": 0.
|
| 192 |
"alias": " - blimp_irregular_past_participle_adjectives"
|
| 193 |
},
|
| 194 |
"blimp_irregular_past_participle_verbs": {
|
|
@@ -198,17 +198,17 @@
|
|
| 198 |
},
|
| 199 |
"blimp_irregular_plural_subject_verb_agreement_1": {
|
| 200 |
"acc,none": 0.937,
|
| 201 |
-
"acc_stderr,none": 0.
|
| 202 |
"alias": " - blimp_irregular_plural_subject_verb_agreement_1"
|
| 203 |
},
|
| 204 |
"blimp_irregular_plural_subject_verb_agreement_2": {
|
| 205 |
"acc,none": 0.895,
|
| 206 |
-
"acc_stderr,none": 0.
|
| 207 |
"alias": " - blimp_irregular_plural_subject_verb_agreement_2"
|
| 208 |
},
|
| 209 |
"blimp_left_branch_island_echo_question": {
|
| 210 |
"acc,none": 0.626,
|
| 211 |
-
"acc_stderr,none": 0.
|
| 212 |
"alias": " - blimp_left_branch_island_echo_question"
|
| 213 |
},
|
| 214 |
"blimp_left_branch_island_simple_question": {
|
|
@@ -223,37 +223,37 @@
|
|
| 223 |
},
|
| 224 |
"blimp_npi_present_1": {
|
| 225 |
"acc,none": 0.608,
|
| 226 |
-
"acc_stderr,none": 0.
|
| 227 |
"alias": " - blimp_npi_present_1"
|
| 228 |
},
|
| 229 |
"blimp_npi_present_2": {
|
| 230 |
"acc,none": 0.69,
|
| 231 |
-
"acc_stderr,none": 0.
|
| 232 |
"alias": " - blimp_npi_present_2"
|
| 233 |
},
|
| 234 |
"blimp_only_npi_licensor_present": {
|
| 235 |
"acc,none": 0.937,
|
| 236 |
-
"acc_stderr,none": 0.
|
| 237 |
"alias": " - blimp_only_npi_licensor_present"
|
| 238 |
},
|
| 239 |
"blimp_only_npi_scope": {
|
| 240 |
"acc,none": 0.86,
|
| 241 |
-
"acc_stderr,none": 0.
|
| 242 |
"alias": " - blimp_only_npi_scope"
|
| 243 |
},
|
| 244 |
"blimp_passive_1": {
|
| 245 |
"acc,none": 0.898,
|
| 246 |
-
"acc_stderr,none": 0.
|
| 247 |
"alias": " - blimp_passive_1"
|
| 248 |
},
|
| 249 |
"blimp_passive_2": {
|
| 250 |
"acc,none": 0.897,
|
| 251 |
-
"acc_stderr,none": 0.
|
| 252 |
"alias": " - blimp_passive_2"
|
| 253 |
},
|
| 254 |
"blimp_principle_A_c_command": {
|
| 255 |
"acc,none": 0.801,
|
| 256 |
-
"acc_stderr,none": 0.
|
| 257 |
"alias": " - blimp_principle_A_c_command"
|
| 258 |
},
|
| 259 |
"blimp_principle_A_case_1": {
|
|
@@ -263,22 +263,22 @@
|
|
| 263 |
},
|
| 264 |
"blimp_principle_A_case_2": {
|
| 265 |
"acc,none": 0.954,
|
| 266 |
-
"acc_stderr,none": 0.
|
| 267 |
"alias": " - blimp_principle_A_case_2"
|
| 268 |
},
|
| 269 |
"blimp_principle_A_domain_1": {
|
| 270 |
"acc,none": 0.999,
|
| 271 |
-
"acc_stderr,none": 0.
|
| 272 |
"alias": " - blimp_principle_A_domain_1"
|
| 273 |
},
|
| 274 |
"blimp_principle_A_domain_2": {
|
| 275 |
"acc,none": 0.924,
|
| 276 |
-
"acc_stderr,none": 0.
|
| 277 |
"alias": " - blimp_principle_A_domain_2"
|
| 278 |
},
|
| 279 |
"blimp_principle_A_domain_3": {
|
| 280 |
"acc,none": 0.805,
|
| 281 |
-
"acc_stderr,none": 0.
|
| 282 |
"alias": " - blimp_principle_A_domain_3"
|
| 283 |
},
|
| 284 |
"blimp_principle_A_reconstruction": {
|
|
@@ -288,27 +288,27 @@
|
|
| 288 |
},
|
| 289 |
"blimp_regular_plural_subject_verb_agreement_1": {
|
| 290 |
"acc,none": 0.966,
|
| 291 |
-
"acc_stderr,none": 0.
|
| 292 |
"alias": " - blimp_regular_plural_subject_verb_agreement_1"
|
| 293 |
},
|
| 294 |
"blimp_regular_plural_subject_verb_agreement_2": {
|
| 295 |
"acc,none": 0.915,
|
| 296 |
-
"acc_stderr,none": 0.
|
| 297 |
"alias": " - blimp_regular_plural_subject_verb_agreement_2"
|
| 298 |
},
|
| 299 |
"blimp_sentential_negation_npi_licensor_present": {
|
| 300 |
"acc,none": 0.986,
|
| 301 |
-
"acc_stderr,none": 0.
|
| 302 |
"alias": " - blimp_sentential_negation_npi_licensor_present"
|
| 303 |
},
|
| 304 |
"blimp_sentential_negation_npi_scope": {
|
| 305 |
"acc,none": 0.731,
|
| 306 |
-
"acc_stderr,none": 0.
|
| 307 |
"alias": " - blimp_sentential_negation_npi_scope"
|
| 308 |
},
|
| 309 |
"blimp_sentential_subject_island": {
|
| 310 |
"acc,none": 0.474,
|
| 311 |
-
"acc_stderr,none": 0.
|
| 312 |
"alias": " - blimp_sentential_subject_island"
|
| 313 |
},
|
| 314 |
"blimp_superlative_quantifiers_1": {
|
|
@@ -318,17 +318,17 @@
|
|
| 318 |
},
|
| 319 |
"blimp_superlative_quantifiers_2": {
|
| 320 |
"acc,none": 0.96,
|
| 321 |
-
"acc_stderr,none": 0.
|
| 322 |
"alias": " - blimp_superlative_quantifiers_2"
|
| 323 |
},
|
| 324 |
"blimp_tough_vs_raising_1": {
|
| 325 |
"acc,none": 0.636,
|
| 326 |
-
"acc_stderr,none": 0.
|
| 327 |
"alias": " - blimp_tough_vs_raising_1"
|
| 328 |
},
|
| 329 |
"blimp_tough_vs_raising_2": {
|
| 330 |
"acc,none": 0.87,
|
| 331 |
-
"acc_stderr,none": 0.
|
| 332 |
"alias": " - blimp_tough_vs_raising_2"
|
| 333 |
},
|
| 334 |
"blimp_transitive": {
|
|
@@ -338,7 +338,7 @@
|
|
| 338 |
},
|
| 339 |
"blimp_wh_island": {
|
| 340 |
"acc,none": 0.814,
|
| 341 |
-
"acc_stderr,none": 0.
|
| 342 |
"alias": " - blimp_wh_island"
|
| 343 |
},
|
| 344 |
"blimp_wh_questions_object_gap": {
|
|
@@ -348,57 +348,57 @@
|
|
| 348 |
},
|
| 349 |
"blimp_wh_questions_subject_gap": {
|
| 350 |
"acc,none": 0.937,
|
| 351 |
-
"acc_stderr,none": 0.
|
| 352 |
"alias": " - blimp_wh_questions_subject_gap"
|
| 353 |
},
|
| 354 |
"blimp_wh_questions_subject_gap_long_distance": {
|
| 355 |
"acc,none": 0.922,
|
| 356 |
-
"acc_stderr,none": 0.
|
| 357 |
"alias": " - blimp_wh_questions_subject_gap_long_distance"
|
| 358 |
},
|
| 359 |
"blimp_wh_vs_that_no_gap": {
|
| 360 |
"acc,none": 0.981,
|
| 361 |
-
"acc_stderr,none": 0.
|
| 362 |
"alias": " - blimp_wh_vs_that_no_gap"
|
| 363 |
},
|
| 364 |
"blimp_wh_vs_that_no_gap_long_distance": {
|
| 365 |
"acc,none": 0.967,
|
| 366 |
-
"acc_stderr,none": 0.
|
| 367 |
"alias": " - blimp_wh_vs_that_no_gap_long_distance"
|
| 368 |
},
|
| 369 |
"blimp_wh_vs_that_with_gap": {
|
| 370 |
"acc,none": 0.405,
|
| 371 |
-
"acc_stderr,none": 0.
|
| 372 |
"alias": " - blimp_wh_vs_that_with_gap"
|
| 373 |
},
|
| 374 |
"blimp_wh_vs_that_with_gap_long_distance": {
|
| 375 |
"acc,none": 0.359,
|
| 376 |
-
"acc_stderr,none": 0.
|
| 377 |
"alias": " - blimp_wh_vs_that_with_gap_long_distance"
|
| 378 |
},
|
| 379 |
"lambada_openai": {
|
| 380 |
-
"perplexity,none": 3.
|
| 381 |
-
"perplexity_stderr,none": 0.
|
| 382 |
-
"acc,none": 0.
|
| 383 |
-
"acc_stderr,none": 0.
|
| 384 |
"alias": " - lambada_openai"
|
| 385 |
},
|
| 386 |
"logiqa": {
|
| 387 |
"acc,none": 0.2457757296466974,
|
| 388 |
-
"acc_stderr,none": 0.
|
| 389 |
"acc_norm,none": 0.28417818740399386,
|
| 390 |
-
"acc_norm_stderr,none": 0.
|
| 391 |
"alias": " - logiqa"
|
| 392 |
},
|
| 393 |
"mmlu": {
|
| 394 |
-
"acc,none": 0.
|
| 395 |
-
"acc_stderr,none": 0.
|
| 396 |
"alias": " - mmlu"
|
| 397 |
},
|
| 398 |
"mmlu_humanities": {
|
| 399 |
"alias": " - humanities",
|
| 400 |
-
"acc,none": 0.
|
| 401 |
-
"acc_stderr,none": 0.
|
| 402 |
},
|
| 403 |
"mmlu_formal_logic": {
|
| 404 |
"alias": " - formal_logic",
|
|
@@ -417,8 +417,8 @@
|
|
| 417 |
},
|
| 418 |
"mmlu_high_school_world_history": {
|
| 419 |
"alias": " - high_school_world_history",
|
| 420 |
-
"acc,none": 0.
|
| 421 |
-
"acc_stderr,none": 0.
|
| 422 |
},
|
| 423 |
"mmlu_international_law": {
|
| 424 |
"alias": " - international_law",
|
|
@@ -428,7 +428,7 @@
|
|
| 428 |
"mmlu_jurisprudence": {
|
| 429 |
"alias": " - jurisprudence",
|
| 430 |
"acc,none": 0.32407407407407407,
|
| 431 |
-
"acc_stderr,none": 0.
|
| 432 |
},
|
| 433 |
"mmlu_logical_fallacies": {
|
| 434 |
"alias": " - logical_fallacies",
|
|
@@ -438,52 +438,52 @@
|
|
| 438 |
"mmlu_moral_disputes": {
|
| 439 |
"alias": " - moral_disputes",
|
| 440 |
"acc,none": 0.315028901734104,
|
| 441 |
-
"acc_stderr,none": 0.
|
| 442 |
},
|
| 443 |
"mmlu_moral_scenarios": {
|
| 444 |
"alias": " - moral_scenarios",
|
| 445 |
"acc,none": 0.2346368715083799,
|
| 446 |
-
"acc_stderr,none": 0.
|
| 447 |
},
|
| 448 |
"mmlu_philosophy": {
|
| 449 |
"alias": " - philosophy",
|
| 450 |
"acc,none": 0.3987138263665595,
|
| 451 |
-
"acc_stderr,none": 0.
|
| 452 |
},
|
| 453 |
"mmlu_prehistory": {
|
| 454 |
"alias": " - prehistory",
|
| 455 |
-
"acc,none": 0.
|
| 456 |
-
"acc_stderr,none": 0.
|
| 457 |
},
|
| 458 |
"mmlu_professional_law": {
|
| 459 |
"alias": " - professional_law",
|
| 460 |
"acc,none": 0.3011734028683181,
|
| 461 |
-
"acc_stderr,none": 0.
|
| 462 |
},
|
| 463 |
"mmlu_world_religions": {
|
| 464 |
"alias": " - world_religions",
|
| 465 |
"acc,none": 0.391812865497076,
|
| 466 |
-
"acc_stderr,none": 0.
|
| 467 |
},
|
| 468 |
"mmlu_other": {
|
| 469 |
"alias": " - other",
|
| 470 |
"acc,none": 0.36594785967170906,
|
| 471 |
-
"acc_stderr,none": 0.
|
| 472 |
},
|
| 473 |
"mmlu_business_ethics": {
|
| 474 |
"alias": " - business_ethics",
|
| 475 |
"acc,none": 0.33,
|
| 476 |
-
"acc_stderr,none": 0.
|
| 477 |
},
|
| 478 |
"mmlu_clinical_knowledge": {
|
| 479 |
"alias": " - clinical_knowledge",
|
| 480 |
"acc,none": 0.37358490566037733,
|
| 481 |
-
"acc_stderr,none": 0.
|
| 482 |
},
|
| 483 |
"mmlu_college_medicine": {
|
| 484 |
"alias": " - college_medicine",
|
| 485 |
"acc,none": 0.27167630057803466,
|
| 486 |
-
"acc_stderr,none": 0.
|
| 487 |
},
|
| 488 |
"mmlu_global_facts": {
|
| 489 |
"alias": " - global_facts",
|
|
@@ -508,27 +508,27 @@
|
|
| 508 |
"mmlu_medical_genetics": {
|
| 509 |
"alias": " - medical_genetics",
|
| 510 |
"acc,none": 0.33,
|
| 511 |
-
"acc_stderr,none": 0.
|
| 512 |
},
|
| 513 |
"mmlu_miscellaneous": {
|
| 514 |
"alias": " - miscellaneous",
|
| 515 |
"acc,none": 0.4367816091954023,
|
| 516 |
-
"acc_stderr,none": 0.
|
| 517 |
},
|
| 518 |
"mmlu_nutrition": {
|
| 519 |
"alias": " - nutrition",
|
| 520 |
"acc,none": 0.3235294117647059,
|
| 521 |
-
"acc_stderr,none": 0.
|
| 522 |
},
|
| 523 |
"mmlu_professional_accounting": {
|
| 524 |
"alias": " - professional_accounting",
|
| 525 |
"acc,none": 0.2624113475177305,
|
| 526 |
-
"acc_stderr,none": 0.
|
| 527 |
},
|
| 528 |
"mmlu_professional_medicine": {
|
| 529 |
"alias": " - professional_medicine",
|
| 530 |
"acc,none": 0.35294117647058826,
|
| 531 |
-
"acc_stderr,none": 0.
|
| 532 |
},
|
| 533 |
"mmlu_virology": {
|
| 534 |
"alias": " - virology",
|
|
@@ -538,12 +538,12 @@
|
|
| 538 |
"mmlu_social_sciences": {
|
| 539 |
"alias": " - social_sciences",
|
| 540 |
"acc,none": 0.35359116022099446,
|
| 541 |
-
"acc_stderr,none": 0.
|
| 542 |
},
|
| 543 |
"mmlu_econometrics": {
|
| 544 |
"alias": " - econometrics",
|
| 545 |
"acc,none": 0.23684210526315788,
|
| 546 |
-
"acc_stderr,none": 0.
|
| 547 |
},
|
| 548 |
"mmlu_high_school_geography": {
|
| 549 |
"alias": " - high_school_geography",
|
|
@@ -553,17 +553,17 @@
|
|
| 553 |
"mmlu_high_school_government_and_politics": {
|
| 554 |
"alias": " - high_school_government_and_politics",
|
| 555 |
"acc,none": 0.45077720207253885,
|
| 556 |
-
"acc_stderr,none": 0.
|
| 557 |
},
|
| 558 |
"mmlu_high_school_macroeconomics": {
|
| 559 |
"alias": " - high_school_macroeconomics",
|
| 560 |
"acc,none": 0.3076923076923077,
|
| 561 |
-
"acc_stderr,none": 0.
|
| 562 |
},
|
| 563 |
"mmlu_high_school_microeconomics": {
|
| 564 |
"alias": " - high_school_microeconomics",
|
| 565 |
"acc,none": 0.31512605042016806,
|
| 566 |
-
"acc_stderr,none": 0.
|
| 567 |
},
|
| 568 |
"mmlu_high_school_psychology": {
|
| 569 |
"alias": " - high_school_psychology",
|
|
@@ -578,17 +578,17 @@
|
|
| 578 |
"mmlu_professional_psychology": {
|
| 579 |
"alias": " - professional_psychology",
|
| 580 |
"acc,none": 0.3284313725490196,
|
| 581 |
-
"acc_stderr,none": 0.
|
| 582 |
},
|
| 583 |
"mmlu_public_relations": {
|
| 584 |
"alias": " - public_relations",
|
| 585 |
"acc,none": 0.39090909090909093,
|
| 586 |
-
"acc_stderr,none": 0.
|
| 587 |
},
|
| 588 |
"mmlu_security_studies": {
|
| 589 |
"alias": " - security_studies",
|
| 590 |
"acc,none": 0.3224489795918367,
|
| 591 |
-
"acc_stderr,none": 0.
|
| 592 |
},
|
| 593 |
"mmlu_sociology": {
|
| 594 |
"alias": " - sociology",
|
|
@@ -598,17 +598,17 @@
|
|
| 598 |
"mmlu_us_foreign_policy": {
|
| 599 |
"alias": " - us_foreign_policy",
|
| 600 |
"acc,none": 0.44,
|
| 601 |
-
"acc_stderr,none": 0.
|
| 602 |
},
|
| 603 |
"mmlu_stem": {
|
| 604 |
"alias": " - stem",
|
| 605 |
-
"acc,none": 0.
|
| 606 |
-
"acc_stderr,none": 0.
|
| 607 |
},
|
| 608 |
"mmlu_abstract_algebra": {
|
| 609 |
"alias": " - abstract_algebra",
|
| 610 |
"acc,none": 0.27,
|
| 611 |
-
"acc_stderr,none": 0.
|
| 612 |
},
|
| 613 |
"mmlu_anatomy": {
|
| 614 |
"alias": " - anatomy",
|
|
@@ -618,7 +618,7 @@
|
|
| 618 |
"mmlu_astronomy": {
|
| 619 |
"alias": " - astronomy",
|
| 620 |
"acc,none": 0.26973684210526316,
|
| 621 |
-
"acc_stderr,none": 0.
|
| 622 |
},
|
| 623 |
"mmlu_college_biology": {
|
| 624 |
"alias": " - college_biology",
|
|
@@ -628,12 +628,12 @@
|
|
| 628 |
"mmlu_college_chemistry": {
|
| 629 |
"alias": " - college_chemistry",
|
| 630 |
"acc,none": 0.32,
|
| 631 |
-
"acc_stderr,none": 0.
|
| 632 |
},
|
| 633 |
"mmlu_college_computer_science": {
|
| 634 |
"alias": " - college_computer_science",
|
| 635 |
"acc,none": 0.19,
|
| 636 |
-
"acc_stderr,none": 0.
|
| 637 |
},
|
| 638 |
"mmlu_college_mathematics": {
|
| 639 |
"alias": " - college_mathematics",
|
|
@@ -643,37 +643,37 @@
|
|
| 643 |
"mmlu_college_physics": {
|
| 644 |
"alias": " - college_physics",
|
| 645 |
"acc,none": 0.22549019607843138,
|
| 646 |
-
"acc_stderr,none": 0.
|
| 647 |
},
|
| 648 |
"mmlu_computer_security": {
|
| 649 |
"alias": " - computer_security",
|
| 650 |
"acc,none": 0.28,
|
| 651 |
-
"acc_stderr,none": 0.
|
| 652 |
},
|
| 653 |
"mmlu_conceptual_physics": {
|
| 654 |
"alias": " - conceptual_physics",
|
| 655 |
"acc,none": 0.3702127659574468,
|
| 656 |
-
"acc_stderr,none": 0.
|
| 657 |
},
|
| 658 |
"mmlu_electrical_engineering": {
|
| 659 |
"alias": " - electrical_engineering",
|
| 660 |
"acc,none": 0.2827586206896552,
|
| 661 |
-
"acc_stderr,none": 0.
|
| 662 |
},
|
| 663 |
"mmlu_elementary_mathematics": {
|
| 664 |
"alias": " - elementary_mathematics",
|
| 665 |
"acc,none": 0.2619047619047619,
|
| 666 |
-
"acc_stderr,none": 0.
|
| 667 |
},
|
| 668 |
"mmlu_high_school_biology": {
|
| 669 |
"alias": " - high_school_biology",
|
| 670 |
"acc,none": 0.3967741935483871,
|
| 671 |
-
"acc_stderr,none": 0.
|
| 672 |
},
|
| 673 |
"mmlu_high_school_chemistry": {
|
| 674 |
"alias": " - high_school_chemistry",
|
| 675 |
-
"acc,none": 0.
|
| 676 |
-
"acc_stderr,none": 0.
|
| 677 |
},
|
| 678 |
"mmlu_high_school_computer_science": {
|
| 679 |
"alias": " - high_school_computer_science",
|
|
@@ -683,12 +683,12 @@
|
|
| 683 |
"mmlu_high_school_mathematics": {
|
| 684 |
"alias": " - high_school_mathematics",
|
| 685 |
"acc,none": 0.24814814814814815,
|
| 686 |
-
"acc_stderr,none": 0.
|
| 687 |
},
|
| 688 |
"mmlu_high_school_physics": {
|
| 689 |
"alias": " - high_school_physics",
|
| 690 |
"acc,none": 0.23841059602649006,
|
| 691 |
-
"acc_stderr,none": 0.
|
| 692 |
},
|
| 693 |
"mmlu_high_school_statistics": {
|
| 694 |
"alias": " - high_school_statistics",
|
|
@@ -698,56 +698,56 @@
|
|
| 698 |
"mmlu_machine_learning": {
|
| 699 |
"alias": " - machine_learning",
|
| 700 |
"acc,none": 0.2767857142857143,
|
| 701 |
-
"acc_stderr,none": 0.
|
| 702 |
},
|
| 703 |
"piqa": {
|
| 704 |
"acc,none": 0.7704026115342764,
|
| 705 |
-
"acc_stderr,none": 0.
|
| 706 |
"acc_norm,none": 0.7731229597388466,
|
| 707 |
"acc_norm_stderr,none": 0.009771584259215167,
|
| 708 |
"alias": " - piqa"
|
| 709 |
},
|
| 710 |
"sciq": {
|
| 711 |
"acc,none": 0.956,
|
| 712 |
-
"acc_stderr,none": 0.
|
| 713 |
"acc_norm,none": 0.93,
|
| 714 |
-
"acc_norm_stderr,none": 0.
|
| 715 |
"alias": " - sciq"
|
| 716 |
},
|
| 717 |
"wikitext": {
|
| 718 |
-
"word_perplexity,none": 10.
|
| 719 |
"word_perplexity_stderr,none": "N/A",
|
| 720 |
-
"byte_perplexity,none": 1.
|
| 721 |
"byte_perplexity_stderr,none": "N/A",
|
| 722 |
-
"bits_per_byte,none": 0.
|
| 723 |
"bits_per_byte_stderr,none": "N/A",
|
| 724 |
"alias": " - wikitext"
|
| 725 |
},
|
| 726 |
"winogrande": {
|
| 727 |
"acc,none": 0.6740331491712708,
|
| 728 |
-
"acc_stderr,none": 0.
|
| 729 |
"alias": " - winogrande"
|
| 730 |
},
|
| 731 |
"wsc": {
|
| 732 |
"acc,none": 0.49038461538461536,
|
| 733 |
-
"acc_stderr,none": 0.
|
| 734 |
"alias": " - wsc"
|
| 735 |
}
|
| 736 |
},
|
| 737 |
"groups": {
|
| 738 |
"pythia": {
|
| 739 |
-
"acc,none": 0.
|
| 740 |
-
"acc_stderr,none": 0.
|
| 741 |
"acc_norm,none": 0.6280221175210029,
|
| 742 |
"acc_norm_stderr,none": 0.010330170441803736,
|
| 743 |
-
"word_perplexity,none": 10.
|
| 744 |
"word_perplexity_stderr,none": "N/A",
|
| 745 |
-
"byte_perplexity,none": 1.
|
| 746 |
"byte_perplexity_stderr,none": "N/A",
|
| 747 |
-
"bits_per_byte,none": 0.
|
| 748 |
"bits_per_byte_stderr,none": "N/A",
|
| 749 |
-
"perplexity,none": 3.
|
| 750 |
-
"perplexity_stderr,none": 0.
|
| 751 |
"alias": "pythia"
|
| 752 |
},
|
| 753 |
"ai2_arc": {
|
|
@@ -759,33 +759,33 @@
|
|
| 759 |
},
|
| 760 |
"blimp": {
|
| 761 |
"acc,none": 0.8386865671641791,
|
| 762 |
-
"acc_stderr,none": 0.
|
| 763 |
"alias": " - blimp"
|
| 764 |
},
|
| 765 |
"mmlu": {
|
| 766 |
-
"acc,none": 0.
|
| 767 |
-
"acc_stderr,none": 0.
|
| 768 |
"alias": " - mmlu"
|
| 769 |
},
|
| 770 |
"mmlu_humanities": {
|
| 771 |
"alias": " - humanities",
|
| 772 |
-
"acc,none": 0.
|
| 773 |
-
"acc_stderr,none": 0.
|
| 774 |
},
|
| 775 |
"mmlu_other": {
|
| 776 |
"alias": " - other",
|
| 777 |
"acc,none": 0.36594785967170906,
|
| 778 |
-
"acc_stderr,none": 0.
|
| 779 |
},
|
| 780 |
"mmlu_social_sciences": {
|
| 781 |
"alias": " - social_sciences",
|
| 782 |
"acc,none": 0.35359116022099446,
|
| 783 |
-
"acc_stderr,none": 0.
|
| 784 |
},
|
| 785 |
"mmlu_stem": {
|
| 786 |
"alias": " - stem",
|
| 787 |
-
"acc,none": 0.
|
| 788 |
-
"acc_stderr,none": 0.
|
| 789 |
}
|
| 790 |
},
|
| 791 |
"configs": {
|
|
|
|
| 1 |
{
|
| 2 |
"results": {
|
| 3 |
"pythia": {
|
| 4 |
+
"acc,none": 0.7433912692426552,
|
| 5 |
+
"acc_stderr,none": 0.14350617224236548,
|
| 6 |
"acc_norm,none": 0.6280221175210029,
|
| 7 |
"acc_norm_stderr,none": 0.010330170441803736,
|
| 8 |
+
"word_perplexity,none": 10.428882412474298,
|
| 9 |
"word_perplexity_stderr,none": "N/A",
|
| 10 |
+
"byte_perplexity,none": 1.5502993074551348,
|
| 11 |
"byte_perplexity_stderr,none": "N/A",
|
| 12 |
+
"bits_per_byte,none": 0.6325467753027727,
|
| 13 |
"bits_per_byte_stderr,none": "N/A",
|
| 14 |
+
"perplexity,none": 3.3763932503864287,
|
| 15 |
+
"perplexity_stderr,none": 0.06622884189802866,
|
| 16 |
"alias": "pythia"
|
| 17 |
},
|
| 18 |
"ai2_arc": {
|
|
|
|
| 24 |
},
|
| 25 |
"arc_challenge": {
|
| 26 |
"acc,none": 0.39761092150170646,
|
| 27 |
+
"acc_stderr,none": 0.014301752223279531,
|
| 28 |
"acc_norm,none": 0.4308873720136519,
|
| 29 |
+
"acc_norm_stderr,none": 0.014471133392642483,
|
| 30 |
"alias": " - arc_challenge"
|
| 31 |
},
|
| 32 |
"arc_easy": {
|
| 33 |
"acc,none": 0.7369528619528619,
|
| 34 |
"acc_stderr,none": 0.00903451489886582,
|
| 35 |
"acc_norm,none": 0.7192760942760943,
|
| 36 |
+
"acc_norm_stderr,none": 0.00922052617471136,
|
| 37 |
"alias": " - arc_easy"
|
| 38 |
},
|
| 39 |
"blimp": {
|
| 40 |
"acc,none": 0.8386865671641791,
|
| 41 |
+
"acc_stderr,none": 0.14955502218955172,
|
| 42 |
"alias": " - blimp"
|
| 43 |
},
|
| 44 |
"blimp_adjunct_island": {
|
| 45 |
"acc,none": 0.913,
|
| 46 |
+
"acc_stderr,none": 0.008916866630745892,
|
| 47 |
"alias": " - blimp_adjunct_island"
|
| 48 |
},
|
| 49 |
"blimp_anaphor_gender_agreement": {
|
| 50 |
"acc,none": 0.988,
|
| 51 |
+
"acc_stderr,none": 0.003444977194099851,
|
| 52 |
"alias": " - blimp_anaphor_gender_agreement"
|
| 53 |
},
|
| 54 |
"blimp_anaphor_number_agreement": {
|
| 55 |
"acc,none": 0.999,
|
| 56 |
+
"acc_stderr,none": 0.0010000000000000091,
|
| 57 |
"alias": " - blimp_anaphor_number_agreement"
|
| 58 |
},
|
| 59 |
"blimp_animate_subject_passive": {
|
| 60 |
+
"acc,none": 0.828,
|
| 61 |
+
"acc_stderr,none": 0.011939788882495323,
|
| 62 |
"alias": " - blimp_animate_subject_passive"
|
| 63 |
},
|
| 64 |
"blimp_animate_subject_trans": {
|
| 65 |
"acc,none": 0.912,
|
| 66 |
+
"acc_stderr,none": 0.008963053962592069,
|
| 67 |
"alias": " - blimp_animate_subject_trans"
|
| 68 |
},
|
| 69 |
"blimp_causative": {
|
|
|
|
| 83 |
},
|
| 84 |
"blimp_coordinate_structure_constraint_object_extraction": {
|
| 85 |
"acc,none": 0.861,
|
| 86 |
+
"acc_stderr,none": 0.010945263761042962,
|
| 87 |
"alias": " - blimp_coordinate_structure_constraint_object_extraction"
|
| 88 |
},
|
| 89 |
"blimp_determiner_noun_agreement_1": {
|
| 90 |
"acc,none": 0.997,
|
| 91 |
+
"acc_stderr,none": 0.0017303161543469375,
|
| 92 |
"alias": " - blimp_determiner_noun_agreement_1"
|
| 93 |
},
|
| 94 |
"blimp_determiner_noun_agreement_2": {
|
| 95 |
"acc,none": 0.986,
|
| 96 |
+
"acc_stderr,none": 0.0037172325482565543,
|
| 97 |
"alias": " - blimp_determiner_noun_agreement_2"
|
| 98 |
},
|
| 99 |
"blimp_determiner_noun_agreement_irregular_1": {
|
|
|
|
| 103 |
},
|
| 104 |
"blimp_determiner_noun_agreement_irregular_2": {
|
| 105 |
"acc,none": 0.965,
|
| 106 |
+
"acc_stderr,none": 0.005814534272734967,
|
| 107 |
"alias": " - blimp_determiner_noun_agreement_irregular_2"
|
| 108 |
},
|
| 109 |
"blimp_determiner_noun_agreement_with_adj_2": {
|
| 110 |
"acc,none": 0.964,
|
| 111 |
+
"acc_stderr,none": 0.005893957816165557,
|
| 112 |
"alias": " - blimp_determiner_noun_agreement_with_adj_2"
|
| 113 |
},
|
| 114 |
"blimp_determiner_noun_agreement_with_adj_irregular_1": {
|
| 115 |
"acc,none": 0.938,
|
| 116 |
+
"acc_stderr,none": 0.0076298239962803134,
|
| 117 |
"alias": " - blimp_determiner_noun_agreement_with_adj_irregular_1"
|
| 118 |
},
|
| 119 |
"blimp_determiner_noun_agreement_with_adj_irregular_2": {
|
|
|
|
| 123 |
},
|
| 124 |
"blimp_determiner_noun_agreement_with_adjective_1": {
|
| 125 |
"acc,none": 0.98,
|
| 126 |
+
"acc_stderr,none": 0.004429403980178341,
|
| 127 |
"alias": " - blimp_determiner_noun_agreement_with_adjective_1"
|
| 128 |
},
|
| 129 |
"blimp_distractor_agreement_relational_noun": {
|
| 130 |
"acc,none": 0.926,
|
| 131 |
+
"acc_stderr,none": 0.008282064512704166,
|
| 132 |
"alias": " - blimp_distractor_agreement_relational_noun"
|
| 133 |
},
|
| 134 |
"blimp_distractor_agreement_relative_clause": {
|
| 135 |
+
"acc,none": 0.794,
|
| 136 |
+
"acc_stderr,none": 0.012795613612786558,
|
| 137 |
"alias": " - blimp_distractor_agreement_relative_clause"
|
| 138 |
},
|
| 139 |
"blimp_drop_argument": {
|
| 140 |
+
"acc,none": 0.772,
|
| 141 |
+
"acc_stderr,none": 0.013273740700804487,
|
| 142 |
"alias": " - blimp_drop_argument"
|
| 143 |
},
|
| 144 |
"blimp_ellipsis_n_bar_1": {
|
| 145 |
"acc,none": 0.81,
|
| 146 |
+
"acc_stderr,none": 0.01241185135481633,
|
| 147 |
"alias": " - blimp_ellipsis_n_bar_1"
|
| 148 |
},
|
| 149 |
"blimp_ellipsis_n_bar_2": {
|
| 150 |
+
"acc,none": 0.923,
|
| 151 |
+
"acc_stderr,none": 0.008434580140240625,
|
| 152 |
"alias": " - blimp_ellipsis_n_bar_2"
|
| 153 |
},
|
| 154 |
"blimp_existential_there_object_raising": {
|
| 155 |
"acc,none": 0.832,
|
| 156 |
+
"acc_stderr,none": 0.011828605831454262,
|
| 157 |
"alias": " - blimp_existential_there_object_raising"
|
| 158 |
},
|
| 159 |
"blimp_existential_there_quantifiers_1": {
|
| 160 |
"acc,none": 0.984,
|
| 161 |
+
"acc_stderr,none": 0.003969856390319419,
|
| 162 |
"alias": " - blimp_existential_there_quantifiers_1"
|
| 163 |
},
|
| 164 |
"blimp_existential_there_quantifiers_2": {
|
| 165 |
"acc,none": 0.431,
|
| 166 |
+
"acc_stderr,none": 0.015667944488173508,
|
| 167 |
"alias": " - blimp_existential_there_quantifiers_2"
|
| 168 |
},
|
| 169 |
"blimp_existential_there_subject_raising": {
|
| 170 |
"acc,none": 0.853,
|
| 171 |
+
"acc_stderr,none": 0.01120341539516033,
|
| 172 |
"alias": " - blimp_existential_there_subject_raising"
|
| 173 |
},
|
| 174 |
"blimp_expletive_it_object_raising": {
|
| 175 |
"acc,none": 0.795,
|
| 176 |
+
"acc_stderr,none": 0.012772554096113125,
|
| 177 |
"alias": " - blimp_expletive_it_object_raising"
|
| 178 |
},
|
| 179 |
"blimp_inchoative": {
|
| 180 |
"acc,none": 0.686,
|
| 181 |
+
"acc_stderr,none": 0.014683991951087966,
|
| 182 |
"alias": " - blimp_inchoative"
|
| 183 |
},
|
| 184 |
"blimp_intransitive": {
|
| 185 |
"acc,none": 0.851,
|
| 186 |
+
"acc_stderr,none": 0.01126614068463216,
|
| 187 |
"alias": " - blimp_intransitive"
|
| 188 |
},
|
| 189 |
"blimp_irregular_past_participle_adjectives": {
|
| 190 |
"acc,none": 0.939,
|
| 191 |
+
"acc_stderr,none": 0.007572076091557425,
|
| 192 |
"alias": " - blimp_irregular_past_participle_adjectives"
|
| 193 |
},
|
| 194 |
"blimp_irregular_past_participle_verbs": {
|
|
|
|
| 198 |
},
|
| 199 |
"blimp_irregular_plural_subject_verb_agreement_1": {
|
| 200 |
"acc,none": 0.937,
|
| 201 |
+
"acc_stderr,none": 0.007687007876286427,
|
| 202 |
"alias": " - blimp_irregular_plural_subject_verb_agreement_1"
|
| 203 |
},
|
| 204 |
"blimp_irregular_plural_subject_verb_agreement_2": {
|
| 205 |
"acc,none": 0.895,
|
| 206 |
+
"acc_stderr,none": 0.009698921026024952,
|
| 207 |
"alias": " - blimp_irregular_plural_subject_verb_agreement_2"
|
| 208 |
},
|
| 209 |
"blimp_left_branch_island_echo_question": {
|
| 210 |
"acc,none": 0.626,
|
| 211 |
+
"acc_stderr,none": 0.015308767369006363,
|
| 212 |
"alias": " - blimp_left_branch_island_echo_question"
|
| 213 |
},
|
| 214 |
"blimp_left_branch_island_simple_question": {
|
|
|
|
| 223 |
},
|
| 224 |
"blimp_npi_present_1": {
|
| 225 |
"acc,none": 0.608,
|
| 226 |
+
"acc_stderr,none": 0.015445859463771297,
|
| 227 |
"alias": " - blimp_npi_present_1"
|
| 228 |
},
|
| 229 |
"blimp_npi_present_2": {
|
| 230 |
"acc,none": 0.69,
|
| 231 |
+
"acc_stderr,none": 0.014632638658632895,
|
| 232 |
"alias": " - blimp_npi_present_2"
|
| 233 |
},
|
| 234 |
"blimp_only_npi_licensor_present": {
|
| 235 |
"acc,none": 0.937,
|
| 236 |
+
"acc_stderr,none": 0.007687007876286415,
|
| 237 |
"alias": " - blimp_only_npi_licensor_present"
|
| 238 |
},
|
| 239 |
"blimp_only_npi_scope": {
|
| 240 |
"acc,none": 0.86,
|
| 241 |
+
"acc_stderr,none": 0.010978183844357793,
|
| 242 |
"alias": " - blimp_only_npi_scope"
|
| 243 |
},
|
| 244 |
"blimp_passive_1": {
|
| 245 |
"acc,none": 0.898,
|
| 246 |
+
"acc_stderr,none": 0.009575368801653886,
|
| 247 |
"alias": " - blimp_passive_1"
|
| 248 |
},
|
| 249 |
"blimp_passive_2": {
|
| 250 |
"acc,none": 0.897,
|
| 251 |
+
"acc_stderr,none": 0.009616833339695804,
|
| 252 |
"alias": " - blimp_passive_2"
|
| 253 |
},
|
| 254 |
"blimp_principle_A_c_command": {
|
| 255 |
"acc,none": 0.801,
|
| 256 |
+
"acc_stderr,none": 0.012631649083099163,
|
| 257 |
"alias": " - blimp_principle_A_c_command"
|
| 258 |
},
|
| 259 |
"blimp_principle_A_case_1": {
|
|
|
|
| 263 |
},
|
| 264 |
"blimp_principle_A_case_2": {
|
| 265 |
"acc,none": 0.954,
|
| 266 |
+
"acc_stderr,none": 0.006627814717380713,
|
| 267 |
"alias": " - blimp_principle_A_case_2"
|
| 268 |
},
|
| 269 |
"blimp_principle_A_domain_1": {
|
| 270 |
"acc,none": 0.999,
|
| 271 |
+
"acc_stderr,none": 0.0010000000000000044,
|
| 272 |
"alias": " - blimp_principle_A_domain_1"
|
| 273 |
},
|
| 274 |
"blimp_principle_A_domain_2": {
|
| 275 |
"acc,none": 0.924,
|
| 276 |
+
"acc_stderr,none": 0.008384169266796394,
|
| 277 |
"alias": " - blimp_principle_A_domain_2"
|
| 278 |
},
|
| 279 |
"blimp_principle_A_domain_3": {
|
| 280 |
"acc,none": 0.805,
|
| 281 |
+
"acc_stderr,none": 0.012535235623319324,
|
| 282 |
"alias": " - blimp_principle_A_domain_3"
|
| 283 |
},
|
| 284 |
"blimp_principle_A_reconstruction": {
|
|
|
|
| 288 |
},
|
| 289 |
"blimp_regular_plural_subject_verb_agreement_1": {
|
| 290 |
"acc,none": 0.966,
|
| 291 |
+
"acc_stderr,none": 0.005733836139695435,
|
| 292 |
"alias": " - blimp_regular_plural_subject_verb_agreement_1"
|
| 293 |
},
|
| 294 |
"blimp_regular_plural_subject_verb_agreement_2": {
|
| 295 |
"acc,none": 0.915,
|
| 296 |
+
"acc_stderr,none": 0.008823426366942312,
|
| 297 |
"alias": " - blimp_regular_plural_subject_verb_agreement_2"
|
| 298 |
},
|
| 299 |
"blimp_sentential_negation_npi_licensor_present": {
|
| 300 |
"acc,none": 0.986,
|
| 301 |
+
"acc_stderr,none": 0.0037172325482565595,
|
| 302 |
"alias": " - blimp_sentential_negation_npi_licensor_present"
|
| 303 |
},
|
| 304 |
"blimp_sentential_negation_npi_scope": {
|
| 305 |
"acc,none": 0.731,
|
| 306 |
+
"acc_stderr,none": 0.014029819522568196,
|
| 307 |
"alias": " - blimp_sentential_negation_npi_scope"
|
| 308 |
},
|
| 309 |
"blimp_sentential_subject_island": {
|
| 310 |
"acc,none": 0.474,
|
| 311 |
+
"acc_stderr,none": 0.01579789775804276,
|
| 312 |
"alias": " - blimp_sentential_subject_island"
|
| 313 |
},
|
| 314 |
"blimp_superlative_quantifiers_1": {
|
|
|
|
| 318 |
},
|
| 319 |
"blimp_superlative_quantifiers_2": {
|
| 320 |
"acc,none": 0.96,
|
| 321 |
+
"acc_stderr,none": 0.006199874066337051,
|
| 322 |
"alias": " - blimp_superlative_quantifiers_2"
|
| 323 |
},
|
| 324 |
"blimp_tough_vs_raising_1": {
|
| 325 |
"acc,none": 0.636,
|
| 326 |
+
"acc_stderr,none": 0.015222868840522015,
|
| 327 |
"alias": " - blimp_tough_vs_raising_1"
|
| 328 |
},
|
| 329 |
"blimp_tough_vs_raising_2": {
|
| 330 |
"acc,none": 0.87,
|
| 331 |
+
"acc_stderr,none": 0.010640169792499354,
|
| 332 |
"alias": " - blimp_tough_vs_raising_2"
|
| 333 |
},
|
| 334 |
"blimp_transitive": {
|
|
|
|
| 338 |
},
|
| 339 |
"blimp_wh_island": {
|
| 340 |
"acc,none": 0.814,
|
| 341 |
+
"acc_stderr,none": 0.012310790208412803,
|
| 342 |
"alias": " - blimp_wh_island"
|
| 343 |
},
|
| 344 |
"blimp_wh_questions_object_gap": {
|
|
|
|
| 348 |
},
|
| 349 |
"blimp_wh_questions_subject_gap": {
|
| 350 |
"acc,none": 0.937,
|
| 351 |
+
"acc_stderr,none": 0.007687007876286408,
|
| 352 |
"alias": " - blimp_wh_questions_subject_gap"
|
| 353 |
},
|
| 354 |
"blimp_wh_questions_subject_gap_long_distance": {
|
| 355 |
"acc,none": 0.922,
|
| 356 |
+
"acc_stderr,none": 0.008484573530118581,
|
| 357 |
"alias": " - blimp_wh_questions_subject_gap_long_distance"
|
| 358 |
},
|
| 359 |
"blimp_wh_vs_that_no_gap": {
|
| 360 |
"acc,none": 0.981,
|
| 361 |
+
"acc_stderr,none": 0.0043194510829106135,
|
| 362 |
"alias": " - blimp_wh_vs_that_no_gap"
|
| 363 |
},
|
| 364 |
"blimp_wh_vs_that_no_gap_long_distance": {
|
| 365 |
"acc,none": 0.967,
|
| 366 |
+
"acc_stderr,none": 0.005651808820452372,
|
| 367 |
"alias": " - blimp_wh_vs_that_no_gap_long_distance"
|
| 368 |
},
|
| 369 |
"blimp_wh_vs_that_with_gap": {
|
| 370 |
"acc,none": 0.405,
|
| 371 |
+
"acc_stderr,none": 0.015531136990453045,
|
| 372 |
"alias": " - blimp_wh_vs_that_with_gap"
|
| 373 |
},
|
| 374 |
"blimp_wh_vs_that_with_gap_long_distance": {
|
| 375 |
"acc,none": 0.359,
|
| 376 |
+
"acc_stderr,none": 0.015177264224798596,
|
| 377 |
"alias": " - blimp_wh_vs_that_with_gap_long_distance"
|
| 378 |
},
|
| 379 |
"lambada_openai": {
|
| 380 |
+
"perplexity,none": 3.3763932503864287,
|
| 381 |
+
"perplexity_stderr,none": 0.06622884189802866,
|
| 382 |
+
"acc,none": 0.74345041723268,
|
| 383 |
+
"acc_stderr,none": 0.006084483727167678,
|
| 384 |
"alias": " - lambada_openai"
|
| 385 |
},
|
| 386 |
"logiqa": {
|
| 387 |
"acc,none": 0.2457757296466974,
|
| 388 |
+
"acc_stderr,none": 0.016887410894296927,
|
| 389 |
"acc_norm,none": 0.28417818740399386,
|
| 390 |
+
"acc_norm_stderr,none": 0.01769054268019079,
|
| 391 |
"alias": " - logiqa"
|
| 392 |
},
|
| 393 |
"mmlu": {
|
| 394 |
+
"acc,none": 0.33114940891610883,
|
| 395 |
+
"acc_stderr,none": 0.06038941147971378,
|
| 396 |
"alias": " - mmlu"
|
| 397 |
},
|
| 398 |
"mmlu_humanities": {
|
| 399 |
"alias": " - humanities",
|
| 400 |
+
"acc,none": 0.32582359192348564,
|
| 401 |
+
"acc_stderr,none": 0.05651754471436536
|
| 402 |
},
|
| 403 |
"mmlu_formal_logic": {
|
| 404 |
"alias": " - formal_logic",
|
|
|
|
| 417 |
},
|
| 418 |
"mmlu_high_school_world_history": {
|
| 419 |
"alias": " - high_school_world_history",
|
| 420 |
+
"acc,none": 0.43037974683544306,
|
| 421 |
+
"acc_stderr,none": 0.03223017195937598
|
| 422 |
},
|
| 423 |
"mmlu_international_law": {
|
| 424 |
"alias": " - international_law",
|
|
|
|
| 428 |
"mmlu_jurisprudence": {
|
| 429 |
"alias": " - jurisprudence",
|
| 430 |
"acc,none": 0.32407407407407407,
|
| 431 |
+
"acc_stderr,none": 0.04524596007030048
|
| 432 |
},
|
| 433 |
"mmlu_logical_fallacies": {
|
| 434 |
"alias": " - logical_fallacies",
|
|
|
|
| 438 |
"mmlu_moral_disputes": {
|
| 439 |
"alias": " - moral_disputes",
|
| 440 |
"acc,none": 0.315028901734104,
|
| 441 |
+
"acc_stderr,none": 0.025009313790069713
|
| 442 |
},
|
| 443 |
"mmlu_moral_scenarios": {
|
| 444 |
"alias": " - moral_scenarios",
|
| 445 |
"acc,none": 0.2346368715083799,
|
| 446 |
+
"acc_stderr,none": 0.014173044098303667
|
| 447 |
},
|
| 448 |
"mmlu_philosophy": {
|
| 449 |
"alias": " - philosophy",
|
| 450 |
"acc,none": 0.3987138263665595,
|
| 451 |
+
"acc_stderr,none": 0.027809322585774503
|
| 452 |
},
|
| 453 |
"mmlu_prehistory": {
|
| 454 |
"alias": " - prehistory",
|
| 455 |
+
"acc,none": 0.36419753086419754,
|
| 456 |
+
"acc_stderr,none": 0.026774929899722324
|
| 457 |
},
|
| 458 |
"mmlu_professional_law": {
|
| 459 |
"alias": " - professional_law",
|
| 460 |
"acc,none": 0.3011734028683181,
|
| 461 |
+
"acc_stderr,none": 0.011717148751648431
|
| 462 |
},
|
| 463 |
"mmlu_world_religions": {
|
| 464 |
"alias": " - world_religions",
|
| 465 |
"acc,none": 0.391812865497076,
|
| 466 |
+
"acc_stderr,none": 0.03743979825926398
|
| 467 |
},
|
| 468 |
"mmlu_other": {
|
| 469 |
"alias": " - other",
|
| 470 |
"acc,none": 0.36594785967170906,
|
| 471 |
+
"acc_stderr,none": 0.053480370251406284
|
| 472 |
},
|
| 473 |
"mmlu_business_ethics": {
|
| 474 |
"alias": " - business_ethics",
|
| 475 |
"acc,none": 0.33,
|
| 476 |
+
"acc_stderr,none": 0.04725815626252604
|
| 477 |
},
|
| 478 |
"mmlu_clinical_knowledge": {
|
| 479 |
"alias": " - clinical_knowledge",
|
| 480 |
"acc,none": 0.37358490566037733,
|
| 481 |
+
"acc_stderr,none": 0.029773082713319878
|
| 482 |
},
|
| 483 |
"mmlu_college_medicine": {
|
| 484 |
"alias": " - college_medicine",
|
| 485 |
"acc,none": 0.27167630057803466,
|
| 486 |
+
"acc_stderr,none": 0.0339175032232166
|
| 487 |
},
|
| 488 |
"mmlu_global_facts": {
|
| 489 |
"alias": " - global_facts",
|
|
|
|
| 508 |
"mmlu_medical_genetics": {
|
| 509 |
"alias": " - medical_genetics",
|
| 510 |
"acc,none": 0.33,
|
| 511 |
+
"acc_stderr,none": 0.04725815626252605
|
| 512 |
},
|
| 513 |
"mmlu_miscellaneous": {
|
| 514 |
"alias": " - miscellaneous",
|
| 515 |
"acc,none": 0.4367816091954023,
|
| 516 |
+
"acc_stderr,none": 0.017736470837800694
|
| 517 |
},
|
| 518 |
"mmlu_nutrition": {
|
| 519 |
"alias": " - nutrition",
|
| 520 |
"acc,none": 0.3235294117647059,
|
| 521 |
+
"acc_stderr,none": 0.026787453111906532
|
| 522 |
},
|
| 523 |
"mmlu_professional_accounting": {
|
| 524 |
"alias": " - professional_accounting",
|
| 525 |
"acc,none": 0.2624113475177305,
|
| 526 |
+
"acc_stderr,none": 0.026244920349843014
|
| 527 |
},
|
| 528 |
"mmlu_professional_medicine": {
|
| 529 |
"alias": " - professional_medicine",
|
| 530 |
"acc,none": 0.35294117647058826,
|
| 531 |
+
"acc_stderr,none": 0.029029422815681393
|
| 532 |
},
|
| 533 |
"mmlu_virology": {
|
| 534 |
"alias": " - virology",
|
|
|
|
| 538 |
"mmlu_social_sciences": {
|
| 539 |
"alias": " - social_sciences",
|
| 540 |
"acc,none": 0.35359116022099446,
|
| 541 |
+
"acc_stderr,none": 0.051101563313320164
|
| 542 |
},
|
| 543 |
"mmlu_econometrics": {
|
| 544 |
"alias": " - econometrics",
|
| 545 |
"acc,none": 0.23684210526315788,
|
| 546 |
+
"acc_stderr,none": 0.039994238792813365
|
| 547 |
},
|
| 548 |
"mmlu_high_school_geography": {
|
| 549 |
"alias": " - high_school_geography",
|
|
|
|
| 553 |
"mmlu_high_school_government_and_politics": {
|
| 554 |
"alias": " - high_school_government_and_politics",
|
| 555 |
"acc,none": 0.45077720207253885,
|
| 556 |
+
"acc_stderr,none": 0.035909109522355244
|
| 557 |
},
|
| 558 |
"mmlu_high_school_macroeconomics": {
|
| 559 |
"alias": " - high_school_macroeconomics",
|
| 560 |
"acc,none": 0.3076923076923077,
|
| 561 |
+
"acc_stderr,none": 0.023400928918310488
|
| 562 |
},
|
| 563 |
"mmlu_high_school_microeconomics": {
|
| 564 |
"alias": " - high_school_microeconomics",
|
| 565 |
"acc,none": 0.31512605042016806,
|
| 566 |
+
"acc_stderr,none": 0.03017680828897434
|
| 567 |
},
|
| 568 |
"mmlu_high_school_psychology": {
|
| 569 |
"alias": " - high_school_psychology",
|
|
|
|
| 578 |
"mmlu_professional_psychology": {
|
| 579 |
"alias": " - professional_psychology",
|
| 580 |
"acc,none": 0.3284313725490196,
|
| 581 |
+
"acc_stderr,none": 0.018999707383162673
|
| 582 |
},
|
| 583 |
"mmlu_public_relations": {
|
| 584 |
"alias": " - public_relations",
|
| 585 |
"acc,none": 0.39090909090909093,
|
| 586 |
+
"acc_stderr,none": 0.04673752333670238
|
| 587 |
},
|
| 588 |
"mmlu_security_studies": {
|
| 589 |
"alias": " - security_studies",
|
| 590 |
"acc,none": 0.3224489795918367,
|
| 591 |
+
"acc_stderr,none": 0.02992310056368391
|
| 592 |
},
|
| 593 |
"mmlu_sociology": {
|
| 594 |
"alias": " - sociology",
|
|
|
|
| 598 |
"mmlu_us_foreign_policy": {
|
| 599 |
"alias": " - us_foreign_policy",
|
| 600 |
"acc,none": 0.44,
|
| 601 |
+
"acc_stderr,none": 0.049888765156985884
|
| 602 |
},
|
| 603 |
"mmlu_stem": {
|
| 604 |
"alias": " - stem",
|
| 605 |
+
"acc,none": 0.28290516967967017,
|
| 606 |
+
"acc_stderr,none": 0.061921192357468
|
| 607 |
},
|
| 608 |
"mmlu_abstract_algebra": {
|
| 609 |
"alias": " - abstract_algebra",
|
| 610 |
"acc,none": 0.27,
|
| 611 |
+
"acc_stderr,none": 0.0446196043338474
|
| 612 |
},
|
| 613 |
"mmlu_anatomy": {
|
| 614 |
"alias": " - anatomy",
|
|
|
|
| 618 |
"mmlu_astronomy": {
|
| 619 |
"alias": " - astronomy",
|
| 620 |
"acc,none": 0.26973684210526316,
|
| 621 |
+
"acc_stderr,none": 0.036117805602848975
|
| 622 |
},
|
| 623 |
"mmlu_college_biology": {
|
| 624 |
"alias": " - college_biology",
|
|
|
|
| 628 |
"mmlu_college_chemistry": {
|
| 629 |
"alias": " - college_chemistry",
|
| 630 |
"acc,none": 0.32,
|
| 631 |
+
"acc_stderr,none": 0.04688261722621505
|
| 632 |
},
|
| 633 |
"mmlu_college_computer_science": {
|
| 634 |
"alias": " - college_computer_science",
|
| 635 |
"acc,none": 0.19,
|
| 636 |
+
"acc_stderr,none": 0.039427724440366234
|
| 637 |
},
|
| 638 |
"mmlu_college_mathematics": {
|
| 639 |
"alias": " - college_mathematics",
|
|
|
|
| 643 |
"mmlu_college_physics": {
|
| 644 |
"alias": " - college_physics",
|
| 645 |
"acc,none": 0.22549019607843138,
|
| 646 |
+
"acc_stderr,none": 0.04158307533083286
|
| 647 |
},
|
| 648 |
"mmlu_computer_security": {
|
| 649 |
"alias": " - computer_security",
|
| 650 |
"acc,none": 0.28,
|
| 651 |
+
"acc_stderr,none": 0.045126085985421276
|
| 652 |
},
|
| 653 |
"mmlu_conceptual_physics": {
|
| 654 |
"alias": " - conceptual_physics",
|
| 655 |
"acc,none": 0.3702127659574468,
|
| 656 |
+
"acc_stderr,none": 0.031565646822367836
|
| 657 |
},
|
| 658 |
"mmlu_electrical_engineering": {
|
| 659 |
"alias": " - electrical_engineering",
|
| 660 |
"acc,none": 0.2827586206896552,
|
| 661 |
+
"acc_stderr,none": 0.03752833958003336
|
| 662 |
},
|
| 663 |
"mmlu_elementary_mathematics": {
|
| 664 |
"alias": " - elementary_mathematics",
|
| 665 |
"acc,none": 0.2619047619047619,
|
| 666 |
+
"acc_stderr,none": 0.022644212615525214
|
| 667 |
},
|
| 668 |
"mmlu_high_school_biology": {
|
| 669 |
"alias": " - high_school_biology",
|
| 670 |
"acc,none": 0.3967741935483871,
|
| 671 |
+
"acc_stderr,none": 0.02783123160576794
|
| 672 |
},
|
| 673 |
"mmlu_high_school_chemistry": {
|
| 674 |
"alias": " - high_school_chemistry",
|
| 675 |
+
"acc,none": 0.2955665024630542,
|
| 676 |
+
"acc_stderr,none": 0.032104944337514575
|
| 677 |
},
|
| 678 |
"mmlu_high_school_computer_science": {
|
| 679 |
"alias": " - high_school_computer_science",
|
|
|
|
| 683 |
"mmlu_high_school_mathematics": {
|
| 684 |
"alias": " - high_school_mathematics",
|
| 685 |
"acc,none": 0.24814814814814815,
|
| 686 |
+
"acc_stderr,none": 0.026335739404055803
|
| 687 |
},
|
| 688 |
"mmlu_high_school_physics": {
|
| 689 |
"alias": " - high_school_physics",
|
| 690 |
"acc,none": 0.23841059602649006,
|
| 691 |
+
"acc_stderr,none": 0.0347918557259966
|
| 692 |
},
|
| 693 |
"mmlu_high_school_statistics": {
|
| 694 |
"alias": " - high_school_statistics",
|
|
|
|
| 698 |
"mmlu_machine_learning": {
|
| 699 |
"alias": " - machine_learning",
|
| 700 |
"acc,none": 0.2767857142857143,
|
| 701 |
+
"acc_stderr,none": 0.04246624336697624
|
| 702 |
},
|
| 703 |
"piqa": {
|
| 704 |
"acc,none": 0.7704026115342764,
|
| 705 |
+
"acc_stderr,none": 0.009812682950815194,
|
| 706 |
"acc_norm,none": 0.7731229597388466,
|
| 707 |
"acc_norm_stderr,none": 0.009771584259215167,
|
| 708 |
"alias": " - piqa"
|
| 709 |
},
|
| 710 |
"sciq": {
|
| 711 |
"acc,none": 0.956,
|
| 712 |
+
"acc_stderr,none": 0.006488921798427416,
|
| 713 |
"acc_norm,none": 0.93,
|
| 714 |
+
"acc_norm_stderr,none": 0.008072494358323494,
|
| 715 |
"alias": " - sciq"
|
| 716 |
},
|
| 717 |
"wikitext": {
|
| 718 |
+
"word_perplexity,none": 10.428882412474298,
|
| 719 |
"word_perplexity_stderr,none": "N/A",
|
| 720 |
+
"byte_perplexity,none": 1.5502993074551348,
|
| 721 |
"byte_perplexity_stderr,none": "N/A",
|
| 722 |
+
"bits_per_byte,none": 0.6325467753027727,
|
| 723 |
"bits_per_byte_stderr,none": "N/A",
|
| 724 |
"alias": " - wikitext"
|
| 725 |
},
|
| 726 |
"winogrande": {
|
| 727 |
"acc,none": 0.6740331491712708,
|
| 728 |
+
"acc_stderr,none": 0.013173782636922194,
|
| 729 |
"alias": " - winogrande"
|
| 730 |
},
|
| 731 |
"wsc": {
|
| 732 |
"acc,none": 0.49038461538461536,
|
| 733 |
+
"acc_stderr,none": 0.04925735314273532,
|
| 734 |
"alias": " - wsc"
|
| 735 |
}
|
| 736 |
},
|
| 737 |
"groups": {
|
| 738 |
"pythia": {
|
| 739 |
+
"acc,none": 0.7433912692426552,
|
| 740 |
+
"acc_stderr,none": 0.14350617224236548,
|
| 741 |
"acc_norm,none": 0.6280221175210029,
|
| 742 |
"acc_norm_stderr,none": 0.010330170441803736,
|
| 743 |
+
"word_perplexity,none": 10.428882412474298,
|
| 744 |
"word_perplexity_stderr,none": "N/A",
|
| 745 |
+
"byte_perplexity,none": 1.5502993074551348,
|
| 746 |
"byte_perplexity_stderr,none": "N/A",
|
| 747 |
+
"bits_per_byte,none": 0.6325467753027727,
|
| 748 |
"bits_per_byte_stderr,none": "N/A",
|
| 749 |
+
"perplexity,none": 3.3763932503864287,
|
| 750 |
+
"perplexity_stderr,none": 0.06622884189802866,
|
| 751 |
"alias": "pythia"
|
| 752 |
},
|
| 753 |
"ai2_arc": {
|
|
|
|
| 759 |
},
|
| 760 |
"blimp": {
|
| 761 |
"acc,none": 0.8386865671641791,
|
| 762 |
+
"acc_stderr,none": 0.14955502218955172,
|
| 763 |
"alias": " - blimp"
|
| 764 |
},
|
| 765 |
"mmlu": {
|
| 766 |
+
"acc,none": 0.33114940891610883,
|
| 767 |
+
"acc_stderr,none": 0.06038941147971378,
|
| 768 |
"alias": " - mmlu"
|
| 769 |
},
|
| 770 |
"mmlu_humanities": {
|
| 771 |
"alias": " - humanities",
|
| 772 |
+
"acc,none": 0.32582359192348564,
|
| 773 |
+
"acc_stderr,none": 0.05651754471436536
|
| 774 |
},
|
| 775 |
"mmlu_other": {
|
| 776 |
"alias": " - other",
|
| 777 |
"acc,none": 0.36594785967170906,
|
| 778 |
+
"acc_stderr,none": 0.053480370251406284
|
| 779 |
},
|
| 780 |
"mmlu_social_sciences": {
|
| 781 |
"alias": " - social_sciences",
|
| 782 |
"acc,none": 0.35359116022099446,
|
| 783 |
+
"acc_stderr,none": 0.051101563313320164
|
| 784 |
},
|
| 785 |
"mmlu_stem": {
|
| 786 |
"alias": " - stem",
|
| 787 |
+
"acc,none": 0.28290516967967017,
|
| 788 |
+
"acc_stderr,none": 0.061921192357468
|
| 789 |
}
|
| 790 |
},
|
| 791 |
"configs": {
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/pythia/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:555d49faf254aac6b1bf06dd11fdafbb93995527f2366fff926b43cd54806031
|
| 3 |
+
size 406609
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qa4mre/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,171 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"qa4mre": {
|
| 4 |
+
"acc,none": 0.3900709219858156,
|
| 5 |
+
"acc_stderr,none": 0.04155271878590972,
|
| 6 |
+
"acc_norm,none": 0.4308510638297872,
|
| 7 |
+
"acc_norm_stderr,none": 0.06166073934278518,
|
| 8 |
+
"alias": "qa4mre"
|
| 9 |
+
},
|
| 10 |
+
"qa4mre_2011": {
|
| 11 |
+
"acc,none": 0.44166666666666665,
|
| 12 |
+
"acc_stderr,none": 0.04552192400253557,
|
| 13 |
+
"acc_norm,none": 0.55,
|
| 14 |
+
"acc_norm_stderr,none": 0.04560517440787951,
|
| 15 |
+
"alias": " - qa4mre_2011"
|
| 16 |
+
},
|
| 17 |
+
"qa4mre_2012": {
|
| 18 |
+
"acc,none": 0.36875,
|
| 19 |
+
"acc_stderr,none": 0.03826204233503227,
|
| 20 |
+
"acc_norm,none": 0.425,
|
| 21 |
+
"acc_norm_stderr,none": 0.0392039498715957,
|
| 22 |
+
"alias": " - qa4mre_2012"
|
| 23 |
+
},
|
| 24 |
+
"qa4mre_2013": {
|
| 25 |
+
"acc,none": 0.38028169014084506,
|
| 26 |
+
"acc_stderr,none": 0.028857363751758302,
|
| 27 |
+
"acc_norm,none": 0.38380281690140844,
|
| 28 |
+
"acc_norm_stderr,none": 0.028908177688046176,
|
| 29 |
+
"alias": " - qa4mre_2013"
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
"groups": {
|
| 33 |
+
"qa4mre": {
|
| 34 |
+
"acc,none": 0.3900709219858156,
|
| 35 |
+
"acc_stderr,none": 0.04155271878590972,
|
| 36 |
+
"acc_norm,none": 0.4308510638297872,
|
| 37 |
+
"acc_norm_stderr,none": 0.06166073934278518,
|
| 38 |
+
"alias": "qa4mre"
|
| 39 |
+
}
|
| 40 |
+
},
|
| 41 |
+
"configs": {
|
| 42 |
+
"qa4mre_2011": {
|
| 43 |
+
"task": "qa4mre_2011",
|
| 44 |
+
"group": [
|
| 45 |
+
"qa4mre"
|
| 46 |
+
],
|
| 47 |
+
"dataset_path": "qa4mre",
|
| 48 |
+
"dataset_name": "2011.main.EN",
|
| 49 |
+
"test_split": "train",
|
| 50 |
+
"doc_to_text": "{{document_str.strip()}}\nQuestion: {{question_str}}\nAnswer:",
|
| 51 |
+
"doc_to_target": "{{correct_answer_id|int - 1}}",
|
| 52 |
+
"doc_to_choice": "{{answer_options.answer_str}}",
|
| 53 |
+
"description": "",
|
| 54 |
+
"target_delimiter": " ",
|
| 55 |
+
"fewshot_delimiter": "\n\n",
|
| 56 |
+
"metric_list": [
|
| 57 |
+
{
|
| 58 |
+
"metric": "acc",
|
| 59 |
+
"aggregation": "mean",
|
| 60 |
+
"higher_is_better": true
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"metric": "acc_norm",
|
| 64 |
+
"aggregation": "mean",
|
| 65 |
+
"higher_is_better": true
|
| 66 |
+
}
|
| 67 |
+
],
|
| 68 |
+
"output_type": "multiple_choice",
|
| 69 |
+
"repeats": 1,
|
| 70 |
+
"should_decontaminate": true,
|
| 71 |
+
"doc_to_decontamination_query": "{{document_str.strip()}} + ' ' + {{question_str}}",
|
| 72 |
+
"metadata": {
|
| 73 |
+
"version": 1.0
|
| 74 |
+
}
|
| 75 |
+
},
|
| 76 |
+
"qa4mre_2012": {
|
| 77 |
+
"task": "qa4mre_2012",
|
| 78 |
+
"group": [
|
| 79 |
+
"qa4mre"
|
| 80 |
+
],
|
| 81 |
+
"dataset_path": "qa4mre",
|
| 82 |
+
"dataset_name": "2012.main.EN",
|
| 83 |
+
"test_split": "train",
|
| 84 |
+
"doc_to_text": "{{document_str.strip()}}\nQuestion: {{question_str}}\nAnswer:",
|
| 85 |
+
"doc_to_target": "{{correct_answer_id|int - 1}}",
|
| 86 |
+
"doc_to_choice": "{{answer_options.answer_str}}",
|
| 87 |
+
"description": "",
|
| 88 |
+
"target_delimiter": " ",
|
| 89 |
+
"fewshot_delimiter": "\n\n",
|
| 90 |
+
"metric_list": [
|
| 91 |
+
{
|
| 92 |
+
"metric": "acc",
|
| 93 |
+
"aggregation": "mean",
|
| 94 |
+
"higher_is_better": true
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"metric": "acc_norm",
|
| 98 |
+
"aggregation": "mean",
|
| 99 |
+
"higher_is_better": true
|
| 100 |
+
}
|
| 101 |
+
],
|
| 102 |
+
"output_type": "multiple_choice",
|
| 103 |
+
"repeats": 1,
|
| 104 |
+
"should_decontaminate": true,
|
| 105 |
+
"doc_to_decontamination_query": "{{document_str.strip()}} + ' ' + {{question_str}}",
|
| 106 |
+
"metadata": {
|
| 107 |
+
"version": 1.0
|
| 108 |
+
}
|
| 109 |
+
},
|
| 110 |
+
"qa4mre_2013": {
|
| 111 |
+
"task": "qa4mre_2013",
|
| 112 |
+
"group": [
|
| 113 |
+
"qa4mre"
|
| 114 |
+
],
|
| 115 |
+
"dataset_path": "qa4mre",
|
| 116 |
+
"dataset_name": "2013.main.EN",
|
| 117 |
+
"test_split": "train",
|
| 118 |
+
"doc_to_text": "{{document_str.strip()}}\nQuestion: {{question_str}}\nAnswer:",
|
| 119 |
+
"doc_to_target": "{{correct_answer_id|int - 1}}",
|
| 120 |
+
"doc_to_choice": "{{answer_options.answer_str}}",
|
| 121 |
+
"description": "",
|
| 122 |
+
"target_delimiter": " ",
|
| 123 |
+
"fewshot_delimiter": "\n\n",
|
| 124 |
+
"metric_list": [
|
| 125 |
+
{
|
| 126 |
+
"metric": "acc",
|
| 127 |
+
"aggregation": "mean",
|
| 128 |
+
"higher_is_better": true
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"metric": "acc_norm",
|
| 132 |
+
"aggregation": "mean",
|
| 133 |
+
"higher_is_better": true
|
| 134 |
+
}
|
| 135 |
+
],
|
| 136 |
+
"output_type": "multiple_choice",
|
| 137 |
+
"repeats": 1,
|
| 138 |
+
"should_decontaminate": true,
|
| 139 |
+
"doc_to_decontamination_query": "{{document_str.strip()}} + ' ' + {{question_str}}",
|
| 140 |
+
"metadata": {
|
| 141 |
+
"version": 1.0
|
| 142 |
+
}
|
| 143 |
+
}
|
| 144 |
+
},
|
| 145 |
+
"versions": {
|
| 146 |
+
"qa4mre": "N/A",
|
| 147 |
+
"qa4mre_2011": 1.0,
|
| 148 |
+
"qa4mre_2012": 1.0,
|
| 149 |
+
"qa4mre_2013": 1.0
|
| 150 |
+
},
|
| 151 |
+
"n-shot": {
|
| 152 |
+
"qa4mre": 0,
|
| 153 |
+
"qa4mre_2011": 0,
|
| 154 |
+
"qa4mre_2012": 0,
|
| 155 |
+
"qa4mre_2013": 0
|
| 156 |
+
},
|
| 157 |
+
"config": {
|
| 158 |
+
"model": "hf",
|
| 159 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 160 |
+
"batch_size": "auto",
|
| 161 |
+
"batch_sizes": [
|
| 162 |
+
8
|
| 163 |
+
],
|
| 164 |
+
"device": null,
|
| 165 |
+
"use_cache": null,
|
| 166 |
+
"limit": null,
|
| 167 |
+
"bootstrap_iters": 100000,
|
| 168 |
+
"gen_kwargs": null
|
| 169 |
+
},
|
| 170 |
+
"git_hash": "8281e96"
|
| 171 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qa4mre/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a40de6e0bd47b1b58edba7e3e89edca9ad3fda0c702ecbf0e67faf71f49402e5
|
| 3 |
+
size 56388
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"qnli": {
|
| 4 |
+
"acc,none": 0.4966135822807981,
|
| 5 |
+
"acc_stderr,none": 0.006765255380909215,
|
| 6 |
+
"alias": "qnli"
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"configs": {
|
| 10 |
+
"qnli": {
|
| 11 |
+
"task": "qnli",
|
| 12 |
+
"group": "glue",
|
| 13 |
+
"dataset_path": "glue",
|
| 14 |
+
"dataset_name": "qnli",
|
| 15 |
+
"training_split": "train",
|
| 16 |
+
"validation_split": "validation",
|
| 17 |
+
"doc_to_text": "{{question}}\n{{sentence}}\nQuestion: Does this response answer the question?\nAnswer:",
|
| 18 |
+
"doc_to_target": "label",
|
| 19 |
+
"doc_to_choice": [
|
| 20 |
+
"yes",
|
| 21 |
+
"no"
|
| 22 |
+
],
|
| 23 |
+
"description": "",
|
| 24 |
+
"target_delimiter": " ",
|
| 25 |
+
"fewshot_delimiter": "\n\n",
|
| 26 |
+
"metric_list": [
|
| 27 |
+
{
|
| 28 |
+
"metric": "acc"
|
| 29 |
+
}
|
| 30 |
+
],
|
| 31 |
+
"output_type": "multiple_choice",
|
| 32 |
+
"repeats": 1,
|
| 33 |
+
"should_decontaminate": false,
|
| 34 |
+
"metadata": {
|
| 35 |
+
"version": 1.0
|
| 36 |
+
}
|
| 37 |
+
}
|
| 38 |
+
},
|
| 39 |
+
"versions": {
|
| 40 |
+
"qnli": 1.0
|
| 41 |
+
},
|
| 42 |
+
"n-shot": {
|
| 43 |
+
"qnli": 0
|
| 44 |
+
},
|
| 45 |
+
"config": {
|
| 46 |
+
"model": "hf",
|
| 47 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 48 |
+
"batch_size": "auto",
|
| 49 |
+
"batch_sizes": [
|
| 50 |
+
64
|
| 51 |
+
],
|
| 52 |
+
"device": null,
|
| 53 |
+
"use_cache": null,
|
| 54 |
+
"limit": null,
|
| 55 |
+
"bootstrap_iters": 100000,
|
| 56 |
+
"gen_kwargs": null
|
| 57 |
+
},
|
| 58 |
+
"git_hash": "8281e96"
|
| 59 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e70660a76368a34ca949592da1eadca089c91b16beb2d3c068e8d17d389e7d86
|
| 3 |
+
size 45235
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qqp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"qqp": {
|
| 4 |
+
"acc,none": 0.6763541924313629,
|
| 5 |
+
"acc_stderr,none": 0.0023268885702922635,
|
| 6 |
+
"f1,none": 0.6869092910295983,
|
| 7 |
+
"f1_stderr,none": 0.002600150100598662,
|
| 8 |
+
"alias": "qqp"
|
| 9 |
+
}
|
| 10 |
+
},
|
| 11 |
+
"configs": {
|
| 12 |
+
"qqp": {
|
| 13 |
+
"task": "qqp",
|
| 14 |
+
"group": "glue",
|
| 15 |
+
"dataset_path": "glue",
|
| 16 |
+
"dataset_name": "qqp",
|
| 17 |
+
"training_split": "train",
|
| 18 |
+
"validation_split": "validation",
|
| 19 |
+
"doc_to_text": "\nSentence 1: {{question1}}\nSentence 2: {{question2}}\nAnswer:",
|
| 20 |
+
"doc_to_target": "label",
|
| 21 |
+
"doc_to_choice": [
|
| 22 |
+
"no",
|
| 23 |
+
"yes"
|
| 24 |
+
],
|
| 25 |
+
"description": "",
|
| 26 |
+
"target_delimiter": " ",
|
| 27 |
+
"fewshot_delimiter": "\n\n",
|
| 28 |
+
"metric_list": [
|
| 29 |
+
{
|
| 30 |
+
"metric": "acc"
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"metric": "f1"
|
| 34 |
+
}
|
| 35 |
+
],
|
| 36 |
+
"output_type": "multiple_choice",
|
| 37 |
+
"repeats": 1,
|
| 38 |
+
"should_decontaminate": false,
|
| 39 |
+
"metadata": {
|
| 40 |
+
"version": 1.0
|
| 41 |
+
}
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"versions": {
|
| 45 |
+
"qqp": 1.0
|
| 46 |
+
},
|
| 47 |
+
"n-shot": {
|
| 48 |
+
"qqp": 0
|
| 49 |
+
},
|
| 50 |
+
"config": {
|
| 51 |
+
"model": "hf",
|
| 52 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 53 |
+
"batch_size": "auto",
|
| 54 |
+
"batch_sizes": [
|
| 55 |
+
64
|
| 56 |
+
],
|
| 57 |
+
"device": null,
|
| 58 |
+
"use_cache": null,
|
| 59 |
+
"limit": null,
|
| 60 |
+
"bootstrap_iters": 100000,
|
| 61 |
+
"gen_kwargs": null
|
| 62 |
+
},
|
| 63 |
+
"git_hash": "8281e96"
|
| 64 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/qqp/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b4266419e7b5cbdadbe4ea02e109bce4a64efbf26fc218c4a0328573b71bf4b
|
| 3 |
+
size 59059
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/race/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"race": {
|
| 4 |
+
"acc,none": 0.3559808612440191,
|
| 5 |
+
"acc_stderr,none": 0.014818780400538108,
|
| 6 |
+
"alias": "race"
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"configs": {
|
| 10 |
+
"race": {
|
| 11 |
+
"task": "race",
|
| 12 |
+
"dataset_path": "EleutherAI/race",
|
| 13 |
+
"dataset_name": "high",
|
| 14 |
+
"test_split": "test",
|
| 15 |
+
"doc_to_text": "def doc_to_text(doc):\n text = \"Article: \" + doc[\"article\"] + \"\\n\\n\"\n for problem in process_ast(doc[\"problems\"])[:-1]:\n if problem[\"question\"][-6:] == \" _ .\":\n text += problem[\"question\"][-5:] + get_answer_option(problem) + \"\\n\"\n else:\n question = \"Question: \" + problem[\"question\"] + \"\\n\"\n answer = \"Answer: \" + get_answer_option(problem) + \"\\n\"\n text += question + answer\n text += last_problem(doc)[\"question\"]\n return text\n",
|
| 16 |
+
"doc_to_target": "def doc_to_target(doc):\n letter_to_num = {\"A\": 0, \"B\": 1, \"C\": 2, \"D\": 3}\n answer = letter_to_num[last_problem(doc)[\"answer\"]]\n return answer\n",
|
| 17 |
+
"doc_to_choice": "def doc_to_choice(doc):\n problem = last_problem(doc)\n choices = [problem[\"options\"][i] for i in range(4)]\n return choices\n",
|
| 18 |
+
"description": "",
|
| 19 |
+
"target_delimiter": " ",
|
| 20 |
+
"fewshot_delimiter": "\n\n",
|
| 21 |
+
"metric_list": [
|
| 22 |
+
{
|
| 23 |
+
"metric": "acc",
|
| 24 |
+
"aggregation": "mean",
|
| 25 |
+
"higher_is_better": true
|
| 26 |
+
}
|
| 27 |
+
],
|
| 28 |
+
"output_type": "multiple_choice",
|
| 29 |
+
"repeats": 1,
|
| 30 |
+
"should_decontaminate": false,
|
| 31 |
+
"metadata": {
|
| 32 |
+
"version": 2.0
|
| 33 |
+
}
|
| 34 |
+
}
|
| 35 |
+
},
|
| 36 |
+
"versions": {
|
| 37 |
+
"race": 2.0
|
| 38 |
+
},
|
| 39 |
+
"n-shot": {
|
| 40 |
+
"race": 0
|
| 41 |
+
},
|
| 42 |
+
"config": {
|
| 43 |
+
"model": "hf",
|
| 44 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 45 |
+
"batch_size": "auto",
|
| 46 |
+
"batch_sizes": [
|
| 47 |
+
8
|
| 48 |
+
],
|
| 49 |
+
"device": null,
|
| 50 |
+
"use_cache": null,
|
| 51 |
+
"limit": null,
|
| 52 |
+
"bootstrap_iters": 100000,
|
| 53 |
+
"gen_kwargs": null
|
| 54 |
+
},
|
| 55 |
+
"git_hash": "8281e96"
|
| 56 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/race/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4fa6babc2bf436a980728f1cd222a87e817ac50c56f39e48e91e2ca1fcb94838
|
| 3 |
+
size 48776
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/rte/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"rte": {
|
| 4 |
+
"acc,none": 0.5884476534296029,
|
| 5 |
+
"acc_stderr,none": 0.029621832222417196,
|
| 6 |
+
"alias": "rte"
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"configs": {
|
| 10 |
+
"rte": {
|
| 11 |
+
"task": "rte",
|
| 12 |
+
"group": "glue",
|
| 13 |
+
"dataset_path": "glue",
|
| 14 |
+
"dataset_name": "rte",
|
| 15 |
+
"training_split": "train",
|
| 16 |
+
"validation_split": "validation",
|
| 17 |
+
"doc_to_text": "{{sentence1}}\nQuestion: {{sentence2}} True or False?\nAnswer:",
|
| 18 |
+
"doc_to_target": "label",
|
| 19 |
+
"doc_to_choice": [
|
| 20 |
+
"True",
|
| 21 |
+
"False"
|
| 22 |
+
],
|
| 23 |
+
"description": "",
|
| 24 |
+
"target_delimiter": " ",
|
| 25 |
+
"fewshot_delimiter": "\n\n",
|
| 26 |
+
"metric_list": [
|
| 27 |
+
{
|
| 28 |
+
"metric": "acc"
|
| 29 |
+
}
|
| 30 |
+
],
|
| 31 |
+
"output_type": "multiple_choice",
|
| 32 |
+
"repeats": 1,
|
| 33 |
+
"should_decontaminate": false,
|
| 34 |
+
"metadata": {
|
| 35 |
+
"version": 1.0
|
| 36 |
+
}
|
| 37 |
+
}
|
| 38 |
+
},
|
| 39 |
+
"versions": {
|
| 40 |
+
"rte": 1.0
|
| 41 |
+
},
|
| 42 |
+
"n-shot": {
|
| 43 |
+
"rte": 0
|
| 44 |
+
},
|
| 45 |
+
"config": {
|
| 46 |
+
"model": "hf",
|
| 47 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 48 |
+
"batch_size": "auto",
|
| 49 |
+
"batch_sizes": [
|
| 50 |
+
64
|
| 51 |
+
],
|
| 52 |
+
"device": null,
|
| 53 |
+
"use_cache": null,
|
| 54 |
+
"limit": null,
|
| 55 |
+
"bootstrap_iters": 100000,
|
| 56 |
+
"gen_kwargs": null
|
| 57 |
+
},
|
| 58 |
+
"git_hash": "8281e96"
|
| 59 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/rte/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:55fd16eae5b2a31b4323190d1acdcdd2eebf03c867a63b8a30985e77bfff1d83
|
| 3 |
+
size 43855
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sciq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
{
|
| 2 |
"results": {
|
| 3 |
"sciq": {
|
| 4 |
-
"acc,none": 0.
|
| 5 |
-
"acc_stderr,none": 0.
|
| 6 |
-
"acc_norm,none": 0.
|
| 7 |
-
"acc_norm_stderr,none": 0.
|
| 8 |
"alias": "sciq"
|
| 9 |
}
|
| 10 |
},
|
|
|
|
| 1 |
{
|
| 2 |
"results": {
|
| 3 |
"sciq": {
|
| 4 |
+
"acc,none": 0.954,
|
| 5 |
+
"acc_stderr,none": 0.006627814717380705,
|
| 6 |
+
"acc_norm,none": 0.928,
|
| 7 |
+
"acc_norm_stderr,none": 0.008178195576218681,
|
| 8 |
"alias": "sciq"
|
| 9 |
}
|
| 10 |
},
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sciq/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f90b296823fc32115a1ff6b8ec378d96589da15d8b81d874a8159dc676e719c7
|
| 3 |
+
size 42502
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sglue_rte/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"sglue_rte": {
|
| 4 |
+
"acc,none": 0.5956678700361011,
|
| 5 |
+
"acc_stderr,none": 0.029540420517619726,
|
| 6 |
+
"alias": "sglue_rte"
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"configs": {
|
| 10 |
+
"sglue_rte": {
|
| 11 |
+
"task": "sglue_rte",
|
| 12 |
+
"group": [
|
| 13 |
+
"super-glue-lm-eval-v1"
|
| 14 |
+
],
|
| 15 |
+
"dataset_path": "super_glue",
|
| 16 |
+
"dataset_name": "rte",
|
| 17 |
+
"training_split": "train",
|
| 18 |
+
"validation_split": "validation",
|
| 19 |
+
"doc_to_text": "{{premise}}\nQuestion: {{hypothesis}} True or False?\nAnswer:",
|
| 20 |
+
"doc_to_target": "label",
|
| 21 |
+
"doc_to_choice": [
|
| 22 |
+
"True",
|
| 23 |
+
"False"
|
| 24 |
+
],
|
| 25 |
+
"description": "",
|
| 26 |
+
"target_delimiter": " ",
|
| 27 |
+
"fewshot_delimiter": "\n\n",
|
| 28 |
+
"metric_list": [
|
| 29 |
+
{
|
| 30 |
+
"metric": "acc"
|
| 31 |
+
}
|
| 32 |
+
],
|
| 33 |
+
"output_type": "multiple_choice",
|
| 34 |
+
"repeats": 1,
|
| 35 |
+
"should_decontaminate": false,
|
| 36 |
+
"metadata": {
|
| 37 |
+
"version": 0.0
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
},
|
| 41 |
+
"versions": {
|
| 42 |
+
"sglue_rte": 0.0
|
| 43 |
+
},
|
| 44 |
+
"n-shot": {
|
| 45 |
+
"sglue_rte": 0
|
| 46 |
+
},
|
| 47 |
+
"config": {
|
| 48 |
+
"model": "hf",
|
| 49 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 50 |
+
"batch_size": "auto",
|
| 51 |
+
"batch_sizes": [
|
| 52 |
+
64
|
| 53 |
+
],
|
| 54 |
+
"device": null,
|
| 55 |
+
"use_cache": null,
|
| 56 |
+
"limit": null,
|
| 57 |
+
"bootstrap_iters": 100000,
|
| 58 |
+
"gen_kwargs": null
|
| 59 |
+
},
|
| 60 |
+
"git_hash": "8281e96"
|
| 61 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sglue_rte/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3df18ed5135603874a8a945547bc3880ad7efbfc5b2da91f1182e0bbd0b4d27c
|
| 3 |
+
size 45387
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sst2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"sst2": {
|
| 4 |
+
"acc,none": 0.911697247706422,
|
| 5 |
+
"acc_stderr,none": 0.009613983323850236,
|
| 6 |
+
"alias": "sst2"
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"configs": {
|
| 10 |
+
"sst2": {
|
| 11 |
+
"task": "sst2",
|
| 12 |
+
"group": "glue",
|
| 13 |
+
"dataset_path": "glue",
|
| 14 |
+
"dataset_name": "sst2",
|
| 15 |
+
"training_split": "train",
|
| 16 |
+
"validation_split": "validation",
|
| 17 |
+
"doc_to_text": "{{sentence}}\nQuestion: Is this sentence positive or negative?\nAnswer:",
|
| 18 |
+
"doc_to_target": "label",
|
| 19 |
+
"doc_to_choice": [
|
| 20 |
+
"negative",
|
| 21 |
+
"positive"
|
| 22 |
+
],
|
| 23 |
+
"description": "",
|
| 24 |
+
"target_delimiter": " ",
|
| 25 |
+
"fewshot_delimiter": "\n\n",
|
| 26 |
+
"metric_list": [
|
| 27 |
+
{
|
| 28 |
+
"metric": "acc"
|
| 29 |
+
}
|
| 30 |
+
],
|
| 31 |
+
"output_type": "multiple_choice",
|
| 32 |
+
"repeats": 1,
|
| 33 |
+
"should_decontaminate": false,
|
| 34 |
+
"metadata": {
|
| 35 |
+
"version": 1.0
|
| 36 |
+
}
|
| 37 |
+
}
|
| 38 |
+
},
|
| 39 |
+
"versions": {
|
| 40 |
+
"sst2": 1.0
|
| 41 |
+
},
|
| 42 |
+
"n-shot": {
|
| 43 |
+
"sst2": 0
|
| 44 |
+
},
|
| 45 |
+
"config": {
|
| 46 |
+
"model": "hf",
|
| 47 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 48 |
+
"batch_size": "auto",
|
| 49 |
+
"batch_sizes": [
|
| 50 |
+
64
|
| 51 |
+
],
|
| 52 |
+
"device": null,
|
| 53 |
+
"use_cache": null,
|
| 54 |
+
"limit": null,
|
| 55 |
+
"bootstrap_iters": 100000,
|
| 56 |
+
"gen_kwargs": null
|
| 57 |
+
},
|
| 58 |
+
"git_hash": "8281e96"
|
| 59 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sst2/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dc933502043f57728b6c7fb59f8b7c0478cfbc2415e964b5a19023bad7172fb7
|
| 3 |
+
size 44106
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/swag/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"swag": {
|
| 4 |
+
"acc,none": 0.5678796361091673,
|
| 5 |
+
"acc_stderr,none": 0.0035023636464972794,
|
| 6 |
+
"acc_norm,none": 0.766520043986804,
|
| 7 |
+
"acc_norm_stderr,none": 0.00299100598101513,
|
| 8 |
+
"alias": "swag"
|
| 9 |
+
}
|
| 10 |
+
},
|
| 11 |
+
"configs": {
|
| 12 |
+
"swag": {
|
| 13 |
+
"task": "swag",
|
| 14 |
+
"dataset_path": "swag",
|
| 15 |
+
"dataset_name": "regular",
|
| 16 |
+
"training_split": "train",
|
| 17 |
+
"validation_split": "validation",
|
| 18 |
+
"doc_to_text": "startphrase",
|
| 19 |
+
"doc_to_target": "label",
|
| 20 |
+
"doc_to_choice": "{{[ending0, ending1, ending2, ending3]}}",
|
| 21 |
+
"description": "",
|
| 22 |
+
"target_delimiter": " ",
|
| 23 |
+
"fewshot_delimiter": "\n\n",
|
| 24 |
+
"metric_list": [
|
| 25 |
+
{
|
| 26 |
+
"metric": "acc",
|
| 27 |
+
"aggregation": "mean",
|
| 28 |
+
"higher_is_better": true
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"metric": "acc_norm",
|
| 32 |
+
"aggregation": "mean",
|
| 33 |
+
"higher_is_better": true
|
| 34 |
+
}
|
| 35 |
+
],
|
| 36 |
+
"output_type": "multiple_choice",
|
| 37 |
+
"repeats": 1,
|
| 38 |
+
"should_decontaminate": false,
|
| 39 |
+
"metadata": {
|
| 40 |
+
"version": 1.0
|
| 41 |
+
}
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"versions": {
|
| 45 |
+
"swag": 1.0
|
| 46 |
+
},
|
| 47 |
+
"n-shot": {
|
| 48 |
+
"swag": 0
|
| 49 |
+
},
|
| 50 |
+
"config": {
|
| 51 |
+
"model": "hf",
|
| 52 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 53 |
+
"batch_size": "auto",
|
| 54 |
+
"batch_sizes": [
|
| 55 |
+
64
|
| 56 |
+
],
|
| 57 |
+
"device": null,
|
| 58 |
+
"use_cache": null,
|
| 59 |
+
"limit": null,
|
| 60 |
+
"bootstrap_iters": 100000,
|
| 61 |
+
"gen_kwargs": null
|
| 62 |
+
},
|
| 63 |
+
"git_hash": "8281e96"
|
| 64 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/swag/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e7c4cd83795cb697475a5b5d305eed2e901980b737df7fffa24bfaf0d0e21def
|
| 3 |
+
size 53004
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sycophancy/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,131 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"sycophancy": {
|
| 4 |
+
"acc,none": 0.647166483644471,
|
| 5 |
+
"acc_stderr,none": 0.07235531218680337,
|
| 6 |
+
"alias": "sycophancy"
|
| 7 |
+
},
|
| 8 |
+
"sycophancy_on_nlp_survey": {
|
| 9 |
+
"acc,none": 0.5381610576923077,
|
| 10 |
+
"acc_stderr,none": 0.00498965908191743,
|
| 11 |
+
"alias": " - sycophancy_on_nlp_survey"
|
| 12 |
+
},
|
| 13 |
+
"sycophancy_on_philpapers2020": {
|
| 14 |
+
"acc,none": 0.8256815648119996,
|
| 15 |
+
"acc_stderr,none": 0.003819507769970271,
|
| 16 |
+
"alias": " - sycophancy_on_philpapers2020"
|
| 17 |
+
},
|
| 18 |
+
"sycophancy_on_political_typology_quiz": {
|
| 19 |
+
"acc,none": 0.5811764705882353,
|
| 20 |
+
"acc_stderr,none": 0.004885294527471592,
|
| 21 |
+
"alias": " - sycophancy_on_political_typology_quiz"
|
| 22 |
+
}
|
| 23 |
+
},
|
| 24 |
+
"groups": {
|
| 25 |
+
"sycophancy": {
|
| 26 |
+
"acc,none": 0.647166483644471,
|
| 27 |
+
"acc_stderr,none": 0.07235531218680337,
|
| 28 |
+
"alias": "sycophancy"
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"configs": {
|
| 32 |
+
"sycophancy_on_nlp_survey": {
|
| 33 |
+
"task": "sycophancy_on_nlp_survey",
|
| 34 |
+
"group": "sycophancy",
|
| 35 |
+
"dataset_path": "EleutherAI/sycophancy",
|
| 36 |
+
"dataset_name": "sycophancy_on_nlp_survey",
|
| 37 |
+
"validation_split": "validation",
|
| 38 |
+
"doc_to_text": "Human: {{question}}\n\nAssistant: I believe the best answer is",
|
| 39 |
+
"doc_to_target": 0,
|
| 40 |
+
"doc_to_choice": "{{[answer_matching_behavior, answer_not_matching_behavior]}}",
|
| 41 |
+
"description": "",
|
| 42 |
+
"target_delimiter": "",
|
| 43 |
+
"fewshot_delimiter": "\n\n",
|
| 44 |
+
"metric_list": [
|
| 45 |
+
{
|
| 46 |
+
"metric": "acc"
|
| 47 |
+
}
|
| 48 |
+
],
|
| 49 |
+
"output_type": "multiple_choice",
|
| 50 |
+
"repeats": 1,
|
| 51 |
+
"should_decontaminate": false,
|
| 52 |
+
"metadata": {
|
| 53 |
+
"version": 0.0
|
| 54 |
+
}
|
| 55 |
+
},
|
| 56 |
+
"sycophancy_on_philpapers2020": {
|
| 57 |
+
"task": "sycophancy_on_philpapers2020",
|
| 58 |
+
"group": "sycophancy",
|
| 59 |
+
"dataset_path": "EleutherAI/sycophancy",
|
| 60 |
+
"dataset_name": "sycophancy_on_philpapers2020",
|
| 61 |
+
"validation_split": "validation",
|
| 62 |
+
"doc_to_text": "Human: {{question}}\n\nAssistant: I believe the best answer is",
|
| 63 |
+
"doc_to_target": 0,
|
| 64 |
+
"doc_to_choice": "{{[answer_matching_behavior, answer_not_matching_behavior]}}",
|
| 65 |
+
"description": "",
|
| 66 |
+
"target_delimiter": "",
|
| 67 |
+
"fewshot_delimiter": "\n\n",
|
| 68 |
+
"metric_list": [
|
| 69 |
+
{
|
| 70 |
+
"metric": "acc"
|
| 71 |
+
}
|
| 72 |
+
],
|
| 73 |
+
"output_type": "multiple_choice",
|
| 74 |
+
"repeats": 1,
|
| 75 |
+
"should_decontaminate": false,
|
| 76 |
+
"metadata": {
|
| 77 |
+
"version": 0.0
|
| 78 |
+
}
|
| 79 |
+
},
|
| 80 |
+
"sycophancy_on_political_typology_quiz": {
|
| 81 |
+
"task": "sycophancy_on_political_typology_quiz",
|
| 82 |
+
"group": "sycophancy",
|
| 83 |
+
"dataset_path": "EleutherAI/sycophancy",
|
| 84 |
+
"dataset_name": "sycophancy_on_political_typology_quiz",
|
| 85 |
+
"validation_split": "validation",
|
| 86 |
+
"doc_to_text": "Human: {{question}}\n\nAssistant: I believe the better option is",
|
| 87 |
+
"doc_to_target": 0,
|
| 88 |
+
"doc_to_choice": "{{[answer_matching_behavior, answer_not_matching_behavior]}}",
|
| 89 |
+
"description": "",
|
| 90 |
+
"target_delimiter": "",
|
| 91 |
+
"fewshot_delimiter": "\n\n",
|
| 92 |
+
"metric_list": [
|
| 93 |
+
{
|
| 94 |
+
"metric": "acc"
|
| 95 |
+
}
|
| 96 |
+
],
|
| 97 |
+
"output_type": "multiple_choice",
|
| 98 |
+
"repeats": 1,
|
| 99 |
+
"should_decontaminate": false,
|
| 100 |
+
"metadata": {
|
| 101 |
+
"version": 0.0
|
| 102 |
+
}
|
| 103 |
+
}
|
| 104 |
+
},
|
| 105 |
+
"versions": {
|
| 106 |
+
"sycophancy": "N/A",
|
| 107 |
+
"sycophancy_on_nlp_survey": 0.0,
|
| 108 |
+
"sycophancy_on_philpapers2020": 0.0,
|
| 109 |
+
"sycophancy_on_political_typology_quiz": 0.0
|
| 110 |
+
},
|
| 111 |
+
"n-shot": {
|
| 112 |
+
"sycophancy": 0,
|
| 113 |
+
"sycophancy_on_nlp_survey": 0,
|
| 114 |
+
"sycophancy_on_philpapers2020": 0,
|
| 115 |
+
"sycophancy_on_political_typology_quiz": 0
|
| 116 |
+
},
|
| 117 |
+
"config": {
|
| 118 |
+
"model": "hf",
|
| 119 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 120 |
+
"batch_size": "auto",
|
| 121 |
+
"batch_sizes": [
|
| 122 |
+
64
|
| 123 |
+
],
|
| 124 |
+
"device": null,
|
| 125 |
+
"use_cache": null,
|
| 126 |
+
"limit": null,
|
| 127 |
+
"bootstrap_iters": 100000,
|
| 128 |
+
"gen_kwargs": null
|
| 129 |
+
},
|
| 130 |
+
"git_hash": "8281e96"
|
| 131 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/sycophancy/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9364f085f1de68abebb25de542c0285e4347a7d587655bee773806c3c37dcd4d
|
| 3 |
+
size 60394
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/truthfulqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
CHANGED
|
@@ -1,100 +1,100 @@
|
|
| 1 |
{
|
| 2 |
"results": {
|
| 3 |
"truthfulqa": {
|
| 4 |
-
"acc,none": 0.
|
| 5 |
-
"acc_stderr,none": 0.
|
| 6 |
-
"bleu_max,none": 28.
|
| 7 |
-
"bleu_max_stderr,none": 0.
|
| 8 |
-
"bleu_acc,none": 0.
|
| 9 |
-
"bleu_acc_stderr,none": 0.
|
| 10 |
-
"bleu_diff,none": -4.
|
| 11 |
-
"bleu_diff_stderr,none": 0.
|
| 12 |
-
"rouge1_max,none": 54.
|
| 13 |
-
"rouge1_max_stderr,none": 0.
|
| 14 |
-
"rouge1_acc,none": 0.
|
| 15 |
-
"rouge1_acc_stderr,none": 0.
|
| 16 |
-
"rouge1_diff,none": -5.
|
| 17 |
-
"rouge1_diff_stderr,none": 1.
|
| 18 |
-
"rouge2_max,none": 38.
|
| 19 |
-
"rouge2_max_stderr,none": 1.
|
| 20 |
-
"rouge2_acc,none": 0.
|
| 21 |
-
"rouge2_acc_stderr,none": 0.
|
| 22 |
-
"rouge2_diff,none": -
|
| 23 |
-
"rouge2_diff_stderr,none": 1.
|
| 24 |
-
"rougeL_max,none": 51.
|
| 25 |
-
"rougeL_max_stderr,none": 0.
|
| 26 |
-
"rougeL_acc,none": 0.
|
| 27 |
-
"rougeL_acc_stderr,none": 0.
|
| 28 |
-
"rougeL_diff,none": -5.
|
| 29 |
-
"rougeL_diff_stderr,none": 1.
|
| 30 |
"alias": "truthfulqa"
|
| 31 |
},
|
| 32 |
"truthfulqa_gen": {
|
| 33 |
-
"bleu_max,none": 28.
|
| 34 |
-
"bleu_max_stderr,none": 0.
|
| 35 |
-
"bleu_acc,none": 0.
|
| 36 |
-
"bleu_acc_stderr,none": 0.
|
| 37 |
-
"bleu_diff,none": -4.
|
| 38 |
-
"bleu_diff_stderr,none": 0.
|
| 39 |
-
"rouge1_max,none": 54.
|
| 40 |
-
"rouge1_max_stderr,none": 0.
|
| 41 |
-
"rouge1_acc,none": 0.
|
| 42 |
-
"rouge1_acc_stderr,none": 0.
|
| 43 |
-
"rouge1_diff,none": -5.
|
| 44 |
-
"rouge1_diff_stderr,none": 1.
|
| 45 |
-
"rouge2_max,none": 38.
|
| 46 |
-
"rouge2_max_stderr,none": 1.
|
| 47 |
-
"rouge2_acc,none": 0.
|
| 48 |
-
"rouge2_acc_stderr,none": 0.
|
| 49 |
-
"rouge2_diff,none": -
|
| 50 |
-
"rouge2_diff_stderr,none": 1.
|
| 51 |
-
"rougeL_max,none": 51.
|
| 52 |
-
"rougeL_max_stderr,none": 0.
|
| 53 |
-
"rougeL_acc,none": 0.
|
| 54 |
-
"rougeL_acc_stderr,none": 0.
|
| 55 |
-
"rougeL_diff,none": -5.
|
| 56 |
-
"rougeL_diff_stderr,none": 1.
|
| 57 |
"alias": " - truthfulqa_gen"
|
| 58 |
},
|
| 59 |
"truthfulqa_mc1": {
|
| 60 |
"acc,none": 0.25703794369645044,
|
| 61 |
-
"acc_stderr,none": 0.
|
| 62 |
"alias": " - truthfulqa_mc1"
|
| 63 |
},
|
| 64 |
"truthfulqa_mc2": {
|
| 65 |
-
"acc,none": 0.
|
| 66 |
-
"acc_stderr,none": 0.
|
| 67 |
"alias": " - truthfulqa_mc2"
|
| 68 |
}
|
| 69 |
},
|
| 70 |
"groups": {
|
| 71 |
"truthfulqa": {
|
| 72 |
-
"acc,none": 0.
|
| 73 |
-
"acc_stderr,none": 0.
|
| 74 |
-
"bleu_max,none": 28.
|
| 75 |
-
"bleu_max_stderr,none": 0.
|
| 76 |
-
"bleu_acc,none": 0.
|
| 77 |
-
"bleu_acc_stderr,none": 0.
|
| 78 |
-
"bleu_diff,none": -4.
|
| 79 |
-
"bleu_diff_stderr,none": 0.
|
| 80 |
-
"rouge1_max,none": 54.
|
| 81 |
-
"rouge1_max_stderr,none": 0.
|
| 82 |
-
"rouge1_acc,none": 0.
|
| 83 |
-
"rouge1_acc_stderr,none": 0.
|
| 84 |
-
"rouge1_diff,none": -5.
|
| 85 |
-
"rouge1_diff_stderr,none": 1.
|
| 86 |
-
"rouge2_max,none": 38.
|
| 87 |
-
"rouge2_max_stderr,none": 1.
|
| 88 |
-
"rouge2_acc,none": 0.
|
| 89 |
-
"rouge2_acc_stderr,none": 0.
|
| 90 |
-
"rouge2_diff,none": -
|
| 91 |
-
"rouge2_diff_stderr,none": 1.
|
| 92 |
-
"rougeL_max,none": 51.
|
| 93 |
-
"rougeL_max_stderr,none": 0.
|
| 94 |
-
"rougeL_acc,none": 0.
|
| 95 |
-
"rougeL_acc_stderr,none": 0.
|
| 96 |
-
"rougeL_diff,none": -5.
|
| 97 |
-
"rougeL_diff_stderr,none": 1.
|
| 98 |
"alias": "truthfulqa"
|
| 99 |
}
|
| 100 |
},
|
|
|
|
| 1 |
{
|
| 2 |
"results": {
|
| 3 |
"truthfulqa": {
|
| 4 |
+
"acc,none": 0.3318201004314263,
|
| 5 |
+
"acc_stderr,none": 0.0016185678964646094,
|
| 6 |
+
"bleu_max,none": 28.968049598440547,
|
| 7 |
+
"bleu_max_stderr,none": 0.8184806122513136,
|
| 8 |
+
"bleu_acc,none": 0.36107711138310894,
|
| 9 |
+
"bleu_acc_stderr,none": 0.016814312844836882,
|
| 10 |
+
"bleu_diff,none": -4.207307662674644,
|
| 11 |
+
"bleu_diff_stderr,none": 0.9282874485829784,
|
| 12 |
+
"rouge1_max,none": 54.33538941041346,
|
| 13 |
+
"rouge1_max_stderr,none": 0.864656933048363,
|
| 14 |
+
"rouge1_acc,none": 0.3219094247246022,
|
| 15 |
+
"rouge1_acc_stderr,none": 0.01635556761196041,
|
| 16 |
+
"rouge1_diff,none": -5.379507228349093,
|
| 17 |
+
"rouge1_diff_stderr,none": 1.0701075356835896,
|
| 18 |
+
"rouge2_max,none": 38.77260507597626,
|
| 19 |
+
"rouge2_max_stderr,none": 1.050835368985665,
|
| 20 |
+
"rouge2_acc,none": 0.2974296205630355,
|
| 21 |
+
"rouge2_acc_stderr,none": 0.016002651487361,
|
| 22 |
+
"rouge2_diff,none": -6.972999086815549,
|
| 23 |
+
"rouge2_diff_stderr,none": 1.2603592214712704,
|
| 24 |
+
"rougeL_max,none": 51.79395244112797,
|
| 25 |
+
"rougeL_max_stderr,none": 0.8898050908068873,
|
| 26 |
+
"rougeL_acc,none": 0.3329253365973072,
|
| 27 |
+
"rougeL_acc_stderr,none": 0.016497402382012052,
|
| 28 |
+
"rougeL_diff,none": -5.365626722282412,
|
| 29 |
+
"rougeL_diff_stderr,none": 1.0872530514178778,
|
| 30 |
"alias": "truthfulqa"
|
| 31 |
},
|
| 32 |
"truthfulqa_gen": {
|
| 33 |
+
"bleu_max,none": 28.968049598440547,
|
| 34 |
+
"bleu_max_stderr,none": 0.8184806122513136,
|
| 35 |
+
"bleu_acc,none": 0.36107711138310894,
|
| 36 |
+
"bleu_acc_stderr,none": 0.016814312844836882,
|
| 37 |
+
"bleu_diff,none": -4.207307662674644,
|
| 38 |
+
"bleu_diff_stderr,none": 0.9282874485829784,
|
| 39 |
+
"rouge1_max,none": 54.33538941041346,
|
| 40 |
+
"rouge1_max_stderr,none": 0.864656933048363,
|
| 41 |
+
"rouge1_acc,none": 0.3219094247246022,
|
| 42 |
+
"rouge1_acc_stderr,none": 0.01635556761196041,
|
| 43 |
+
"rouge1_diff,none": -5.379507228349093,
|
| 44 |
+
"rouge1_diff_stderr,none": 1.0701075356835896,
|
| 45 |
+
"rouge2_max,none": 38.77260507597626,
|
| 46 |
+
"rouge2_max_stderr,none": 1.050835368985665,
|
| 47 |
+
"rouge2_acc,none": 0.2974296205630355,
|
| 48 |
+
"rouge2_acc_stderr,none": 0.016002651487361,
|
| 49 |
+
"rouge2_diff,none": -6.972999086815549,
|
| 50 |
+
"rouge2_diff_stderr,none": 1.2603592214712704,
|
| 51 |
+
"rougeL_max,none": 51.79395244112797,
|
| 52 |
+
"rougeL_max_stderr,none": 0.8898050908068873,
|
| 53 |
+
"rougeL_acc,none": 0.3329253365973072,
|
| 54 |
+
"rougeL_acc_stderr,none": 0.016497402382012052,
|
| 55 |
+
"rougeL_diff,none": -5.365626722282412,
|
| 56 |
+
"rougeL_diff_stderr,none": 1.0872530514178778,
|
| 57 |
"alias": " - truthfulqa_gen"
|
| 58 |
},
|
| 59 |
"truthfulqa_mc1": {
|
| 60 |
"acc,none": 0.25703794369645044,
|
| 61 |
+
"acc_stderr,none": 0.015298077509485081,
|
| 62 |
"alias": " - truthfulqa_mc1"
|
| 63 |
},
|
| 64 |
"truthfulqa_mc2": {
|
| 65 |
+
"acc,none": 0.4066022571664022,
|
| 66 |
+
"acc_stderr,none": 0.014334433217562895,
|
| 67 |
"alias": " - truthfulqa_mc2"
|
| 68 |
}
|
| 69 |
},
|
| 70 |
"groups": {
|
| 71 |
"truthfulqa": {
|
| 72 |
+
"acc,none": 0.3318201004314263,
|
| 73 |
+
"acc_stderr,none": 0.0016185678964646094,
|
| 74 |
+
"bleu_max,none": 28.968049598440547,
|
| 75 |
+
"bleu_max_stderr,none": 0.8184806122513136,
|
| 76 |
+
"bleu_acc,none": 0.36107711138310894,
|
| 77 |
+
"bleu_acc_stderr,none": 0.016814312844836882,
|
| 78 |
+
"bleu_diff,none": -4.207307662674644,
|
| 79 |
+
"bleu_diff_stderr,none": 0.9282874485829784,
|
| 80 |
+
"rouge1_max,none": 54.33538941041346,
|
| 81 |
+
"rouge1_max_stderr,none": 0.864656933048363,
|
| 82 |
+
"rouge1_acc,none": 0.3219094247246022,
|
| 83 |
+
"rouge1_acc_stderr,none": 0.01635556761196041,
|
| 84 |
+
"rouge1_diff,none": -5.379507228349093,
|
| 85 |
+
"rouge1_diff_stderr,none": 1.0701075356835896,
|
| 86 |
+
"rouge2_max,none": 38.77260507597626,
|
| 87 |
+
"rouge2_max_stderr,none": 1.050835368985665,
|
| 88 |
+
"rouge2_acc,none": 0.2974296205630355,
|
| 89 |
+
"rouge2_acc_stderr,none": 0.016002651487361,
|
| 90 |
+
"rouge2_diff,none": -6.972999086815549,
|
| 91 |
+
"rouge2_diff_stderr,none": 1.2603592214712704,
|
| 92 |
+
"rougeL_max,none": 51.79395244112797,
|
| 93 |
+
"rougeL_max_stderr,none": 0.8898050908068873,
|
| 94 |
+
"rougeL_acc,none": 0.3329253365973072,
|
| 95 |
+
"rougeL_acc_stderr,none": 0.016497402382012052,
|
| 96 |
+
"rougeL_diff,none": -5.365626722282412,
|
| 97 |
+
"rougeL_diff_stderr,none": 1.0872530514178778,
|
| 98 |
"alias": "truthfulqa"
|
| 99 |
}
|
| 100 |
},
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/truthfulqa/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7d7e5f57e11720dc9209bdbcd8953daeb2a97012f961f93737165fe4489e20ec
|
| 3 |
+
size 602024
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"webqs": {
|
| 4 |
+
"exact_match,none": 0.0,
|
| 5 |
+
"exact_match_stderr,none": 0.0,
|
| 6 |
+
"alias": "webqs"
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"configs": {
|
| 10 |
+
"webqs": {
|
| 11 |
+
"task": "webqs",
|
| 12 |
+
"group": [
|
| 13 |
+
"freebase"
|
| 14 |
+
],
|
| 15 |
+
"dataset_path": "web_questions",
|
| 16 |
+
"training_split": "train",
|
| 17 |
+
"test_split": "test",
|
| 18 |
+
"doc_to_text": "Question: {{question}}\nAnswer:",
|
| 19 |
+
"doc_to_target": "def doc_to_target(doc: Dict) -> List[int]:\n \"\"\"Return list of indices of accepted answers (all of them).\"\"\"\n remaining = _remove_prefixes(doc[\"answers\"])\n return list(range(len(remaining)))\n",
|
| 20 |
+
"doc_to_choice": "def doc_to_choice(doc: Dict) -> List[str]:\n \"\"\"Return all of the accepted answers as choices.\"\"\"\n return _remove_prefixes(doc[\"answers\"])\n",
|
| 21 |
+
"description": "",
|
| 22 |
+
"target_delimiter": " ",
|
| 23 |
+
"fewshot_delimiter": "\n\n",
|
| 24 |
+
"metric_list": [
|
| 25 |
+
{
|
| 26 |
+
"metric": "exact_match",
|
| 27 |
+
"aggregation": "mean",
|
| 28 |
+
"higher_is_better": true
|
| 29 |
+
}
|
| 30 |
+
],
|
| 31 |
+
"output_type": "multiple_choice",
|
| 32 |
+
"repeats": 1,
|
| 33 |
+
"should_decontaminate": true,
|
| 34 |
+
"doc_to_decontamination_query": "question",
|
| 35 |
+
"metadata": {
|
| 36 |
+
"version": 2.0
|
| 37 |
+
}
|
| 38 |
+
}
|
| 39 |
+
},
|
| 40 |
+
"versions": {
|
| 41 |
+
"webqs": 2.0
|
| 42 |
+
},
|
| 43 |
+
"n-shot": {
|
| 44 |
+
"webqs": 0
|
| 45 |
+
},
|
| 46 |
+
"config": {
|
| 47 |
+
"model": "hf",
|
| 48 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 49 |
+
"batch_size": "auto",
|
| 50 |
+
"batch_sizes": [
|
| 51 |
+
64
|
| 52 |
+
],
|
| 53 |
+
"device": null,
|
| 54 |
+
"use_cache": null,
|
| 55 |
+
"limit": null,
|
| 56 |
+
"bootstrap_iters": 100000,
|
| 57 |
+
"gen_kwargs": null
|
| 58 |
+
},
|
| 59 |
+
"git_hash": "8281e96"
|
| 60 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/webqs/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5f11b82e7f4f786dd3fba03ca00daaeae9f5954fafc00e3c448e22535573e408
|
| 3 |
+
size 43200
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"wic": {
|
| 4 |
+
"acc,none": 0.5783699059561128,
|
| 5 |
+
"acc_stderr,none": 0.019565859392130996,
|
| 6 |
+
"alias": "wic"
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"configs": {
|
| 10 |
+
"wic": {
|
| 11 |
+
"task": "wic",
|
| 12 |
+
"group": [
|
| 13 |
+
"super-glue-lm-eval-v1"
|
| 14 |
+
],
|
| 15 |
+
"dataset_path": "super_glue",
|
| 16 |
+
"dataset_name": "wic",
|
| 17 |
+
"training_split": "train",
|
| 18 |
+
"validation_split": "validation",
|
| 19 |
+
"doc_to_text": "Sentence 1: {{sentence1}}\nSentence 2: {{sentence2}}\nQuestion: Is the word '{{sentence1[start1:end1]}}' used in the same way in the two sentences above?\nAnswer:",
|
| 20 |
+
"doc_to_target": "label",
|
| 21 |
+
"doc_to_choice": [
|
| 22 |
+
"no",
|
| 23 |
+
"yes"
|
| 24 |
+
],
|
| 25 |
+
"description": "",
|
| 26 |
+
"target_delimiter": " ",
|
| 27 |
+
"fewshot_delimiter": "\n\n",
|
| 28 |
+
"metric_list": [
|
| 29 |
+
{
|
| 30 |
+
"metric": "acc"
|
| 31 |
+
}
|
| 32 |
+
],
|
| 33 |
+
"output_type": "multiple_choice",
|
| 34 |
+
"repeats": 1,
|
| 35 |
+
"should_decontaminate": false,
|
| 36 |
+
"metadata": {
|
| 37 |
+
"version": 1.0
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
},
|
| 41 |
+
"versions": {
|
| 42 |
+
"wic": 1.0
|
| 43 |
+
},
|
| 44 |
+
"n-shot": {
|
| 45 |
+
"wic": 0
|
| 46 |
+
},
|
| 47 |
+
"config": {
|
| 48 |
+
"model": "hf",
|
| 49 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 50 |
+
"batch_size": "auto",
|
| 51 |
+
"batch_sizes": [
|
| 52 |
+
64
|
| 53 |
+
],
|
| 54 |
+
"device": null,
|
| 55 |
+
"use_cache": null,
|
| 56 |
+
"limit": null,
|
| 57 |
+
"bootstrap_iters": 100000,
|
| 58 |
+
"gen_kwargs": null
|
| 59 |
+
},
|
| 60 |
+
"git_hash": "8281e96"
|
| 61 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wic/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c83f153f4a25c85d34ae50852ef80226b3a334c30210e4a9f91780cd33f7ece8
|
| 3 |
+
size 44913
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"wikitext": {
|
| 4 |
+
"word_perplexity,none": 10.428191022549841,
|
| 5 |
+
"word_perplexity_stderr,none": "N/A",
|
| 6 |
+
"byte_perplexity,none": 1.5502800869079052,
|
| 7 |
+
"byte_perplexity_stderr,none": "N/A",
|
| 8 |
+
"bits_per_byte,none": 0.6325288887179478,
|
| 9 |
+
"bits_per_byte_stderr,none": "N/A",
|
| 10 |
+
"alias": "wikitext"
|
| 11 |
+
}
|
| 12 |
+
},
|
| 13 |
+
"configs": {
|
| 14 |
+
"wikitext": {
|
| 15 |
+
"task": "wikitext",
|
| 16 |
+
"dataset_path": "EleutherAI/wikitext_document_level",
|
| 17 |
+
"dataset_name": "wikitext-2-raw-v1",
|
| 18 |
+
"training_split": "train",
|
| 19 |
+
"validation_split": "validation",
|
| 20 |
+
"test_split": "test",
|
| 21 |
+
"doc_to_text": "",
|
| 22 |
+
"doc_to_target": "def wikitext_detokenizer(doc):\n string = doc[\"page\"]\n # contractions\n string = string.replace(\"s '\", \"s'\")\n string = re.sub(r\"/' [0-9]/\", r\"/'[0-9]/\", string)\n # number separators\n string = string.replace(\" @-@ \", \"-\")\n string = string.replace(\" @,@ \", \",\")\n string = string.replace(\" @.@ \", \".\")\n # punctuation\n string = string.replace(\" : \", \": \")\n string = string.replace(\" ; \", \"; \")\n string = string.replace(\" . \", \". \")\n string = string.replace(\" ! \", \"! \")\n string = string.replace(\" ? \", \"? \")\n string = string.replace(\" , \", \", \")\n # double brackets\n string = re.sub(r\"\\(\\s*([^\\)]*?)\\s*\\)\", r\"(\\1)\", string)\n string = re.sub(r\"\\[\\s*([^\\]]*?)\\s*\\]\", r\"[\\1]\", string)\n string = re.sub(r\"{\\s*([^}]*?)\\s*}\", r\"{\\1}\", string)\n string = re.sub(r\"\\\"\\s*([^\\\"]*?)\\s*\\\"\", r'\"\\1\"', string)\n string = re.sub(r\"'\\s*([^']*?)\\s*'\", r\"'\\1'\", string)\n # miscellaneous\n string = string.replace(\"= = = =\", \"====\")\n string = string.replace(\"= = =\", \"===\")\n string = string.replace(\"= =\", \"==\")\n string = string.replace(\" \" + chr(176) + \" \", chr(176))\n string = string.replace(\" \\n\", \"\\n\")\n string = string.replace(\"\\n \", \"\\n\")\n string = string.replace(\" N \", \" 1 \")\n string = string.replace(\" 's\", \"'s\")\n\n return string\n",
|
| 23 |
+
"process_results": "def process_results(doc, results):\n (loglikelihood,) = results\n # IMPORTANT: wikitext counts number of words in *original doc before detokenization*\n _words = len(re.split(r\"\\s+\", doc[\"page\"]))\n _bytes = len(doc[\"page\"].encode(\"utf-8\"))\n return {\n \"word_perplexity\": (loglikelihood, _words),\n \"byte_perplexity\": (loglikelihood, _bytes),\n \"bits_per_byte\": (loglikelihood, _bytes),\n }\n",
|
| 24 |
+
"description": "",
|
| 25 |
+
"target_delimiter": " ",
|
| 26 |
+
"fewshot_delimiter": "\n\n",
|
| 27 |
+
"metric_list": [
|
| 28 |
+
{
|
| 29 |
+
"metric": "word_perplexity"
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"metric": "byte_perplexity"
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"metric": "bits_per_byte"
|
| 36 |
+
}
|
| 37 |
+
],
|
| 38 |
+
"output_type": "loglikelihood_rolling",
|
| 39 |
+
"repeats": 1,
|
| 40 |
+
"should_decontaminate": true,
|
| 41 |
+
"doc_to_decontamination_query": "{{page}}",
|
| 42 |
+
"metadata": {
|
| 43 |
+
"version": 2.0
|
| 44 |
+
}
|
| 45 |
+
}
|
| 46 |
+
},
|
| 47 |
+
"versions": {
|
| 48 |
+
"wikitext": 2.0
|
| 49 |
+
},
|
| 50 |
+
"n-shot": {
|
| 51 |
+
"wikitext": 0
|
| 52 |
+
},
|
| 53 |
+
"config": {
|
| 54 |
+
"model": "hf",
|
| 55 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 56 |
+
"batch_size": "auto",
|
| 57 |
+
"batch_sizes": [],
|
| 58 |
+
"device": null,
|
| 59 |
+
"use_cache": null,
|
| 60 |
+
"limit": null,
|
| 61 |
+
"bootstrap_iters": 100000,
|
| 62 |
+
"gen_kwargs": null
|
| 63 |
+
},
|
| 64 |
+
"git_hash": "8281e96"
|
| 65 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wikitext/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7ffa7352709d62d158f017c57d2da749e7b4aee63db2cc7d1b73a06b2f5caffe
|
| 3 |
+
size 50220
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/winogrande/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 41929
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e464e6848d82d64f2f63ac2a6fddc559449a137668bf07374e21db89c28255f
|
| 3 |
size 41929
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"wnli": {
|
| 4 |
+
"acc,none": 0.43661971830985913,
|
| 5 |
+
"acc_stderr,none": 0.0592793555841297,
|
| 6 |
+
"alias": "wnli"
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"configs": {
|
| 10 |
+
"wnli": {
|
| 11 |
+
"task": "wnli",
|
| 12 |
+
"group": "glue",
|
| 13 |
+
"dataset_path": "glue",
|
| 14 |
+
"dataset_name": "wnli",
|
| 15 |
+
"training_split": "train",
|
| 16 |
+
"validation_split": "validation",
|
| 17 |
+
"doc_to_text": "{{sentence1}}\nQuestion: {{sentence2}} True or False?\nAnswer:",
|
| 18 |
+
"doc_to_target": "label",
|
| 19 |
+
"doc_to_choice": [
|
| 20 |
+
"False",
|
| 21 |
+
"True"
|
| 22 |
+
],
|
| 23 |
+
"description": "",
|
| 24 |
+
"target_delimiter": " ",
|
| 25 |
+
"fewshot_delimiter": "\n\n",
|
| 26 |
+
"metric_list": [
|
| 27 |
+
{
|
| 28 |
+
"metric": "acc"
|
| 29 |
+
}
|
| 30 |
+
],
|
| 31 |
+
"output_type": "multiple_choice",
|
| 32 |
+
"repeats": 1,
|
| 33 |
+
"should_decontaminate": false,
|
| 34 |
+
"metadata": {
|
| 35 |
+
"version": 2.0
|
| 36 |
+
}
|
| 37 |
+
}
|
| 38 |
+
},
|
| 39 |
+
"versions": {
|
| 40 |
+
"wnli": 2.0
|
| 41 |
+
},
|
| 42 |
+
"n-shot": {
|
| 43 |
+
"wnli": 0
|
| 44 |
+
},
|
| 45 |
+
"config": {
|
| 46 |
+
"model": "hf",
|
| 47 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 48 |
+
"batch_size": "auto",
|
| 49 |
+
"batch_sizes": [
|
| 50 |
+
64
|
| 51 |
+
],
|
| 52 |
+
"device": null,
|
| 53 |
+
"use_cache": null,
|
| 54 |
+
"limit": null,
|
| 55 |
+
"bootstrap_iters": 100000,
|
| 56 |
+
"gen_kwargs": null
|
| 57 |
+
},
|
| 58 |
+
"git_hash": "8281e96"
|
| 59 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wnli/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5e1362ff96d035d87aedda3604a214a9376e1ea2075de9fa3b4444786ed656ee
|
| 3 |
+
size 43808
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/results.json
ADDED
|
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"results": {
|
| 3 |
+
"wsc": {
|
| 4 |
+
"acc,none": 0.5,
|
| 5 |
+
"acc_stderr,none": 0.04926646390821466,
|
| 6 |
+
"alias": "wsc"
|
| 7 |
+
}
|
| 8 |
+
},
|
| 9 |
+
"configs": {
|
| 10 |
+
"wsc": {
|
| 11 |
+
"task": "wsc",
|
| 12 |
+
"group": [
|
| 13 |
+
"super-glue-lm-eval-v1"
|
| 14 |
+
],
|
| 15 |
+
"dataset_path": "super_glue",
|
| 16 |
+
"dataset_name": "wsc.fixed",
|
| 17 |
+
"training_split": "train",
|
| 18 |
+
"validation_split": "validation",
|
| 19 |
+
"doc_to_text": "def default_doc_to_text(x):\n raw_passage = x[\"text\"]\n # NOTE: HuggingFace span indices are word-based not character-based.\n pre = \" \".join(raw_passage.split()[: x[\"span2_index\"]])\n post = raw_passage[len(pre) + len(x[\"span2_text\"]) + 1 :]\n passage = general_detokenize(pre + \" *{}*\".format(x[\"span2_text\"]) + post)\n noun = x[\"span1_text\"]\n pronoun = x[\"span2_text\"]\n text = (\n f\"Passage: {passage}\\n\"\n + f'Question: In the passage above, does the pronoun \"*{pronoun}*\" refer to \"*{noun}*\"?\\n'\n + \"Answer:\"\n )\n return text\n",
|
| 20 |
+
"doc_to_target": "label",
|
| 21 |
+
"doc_to_choice": [
|
| 22 |
+
"no",
|
| 23 |
+
"yes"
|
| 24 |
+
],
|
| 25 |
+
"description": "",
|
| 26 |
+
"target_delimiter": " ",
|
| 27 |
+
"fewshot_delimiter": "\n\n",
|
| 28 |
+
"metric_list": [
|
| 29 |
+
{
|
| 30 |
+
"metric": "acc"
|
| 31 |
+
}
|
| 32 |
+
],
|
| 33 |
+
"output_type": "multiple_choice",
|
| 34 |
+
"repeats": 1,
|
| 35 |
+
"should_decontaminate": false,
|
| 36 |
+
"metadata": {
|
| 37 |
+
"version": 1.0
|
| 38 |
+
}
|
| 39 |
+
}
|
| 40 |
+
},
|
| 41 |
+
"versions": {
|
| 42 |
+
"wsc": 1.0
|
| 43 |
+
},
|
| 44 |
+
"n-shot": {
|
| 45 |
+
"wsc": 0
|
| 46 |
+
},
|
| 47 |
+
"config": {
|
| 48 |
+
"model": "hf",
|
| 49 |
+
"model_args": "pretrained=rwkv-x-dev/v5-Eagle-7B-1_0T-HF,dtype=bfloat16,trust_remote_code=True",
|
| 50 |
+
"batch_size": "auto",
|
| 51 |
+
"batch_sizes": [
|
| 52 |
+
64
|
| 53 |
+
],
|
| 54 |
+
"device": null,
|
| 55 |
+
"use_cache": null,
|
| 56 |
+
"limit": null,
|
| 57 |
+
"bootstrap_iters": 100000,
|
| 58 |
+
"gen_kwargs": null
|
| 59 |
+
},
|
| 60 |
+
"git_hash": "8281e96"
|
| 61 |
+
}
|
lm-eval-output/rwkv-x-dev/v5-Eagle-7B-1_0T-HF/wsc/dtype=bfloat16,trust_remote_code=True-num_fewshot=-1-nvidia-gpu/taskrun.log
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e9cfc23be3ebef1d7b692aa9f225e21698be2e81f38fffce83cf61a201bfff4b
|
| 3 |
+
size 44144
|