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add_sub_sorl_v1_abs30_K1_10K/metrics.json
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| 1029 |
},
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"MB": {
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| 1031 |
"accuracy": 1.0,
|
| 1032 |
-
"count":
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| 1033 |
},
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| 1034 |
"UB": {
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| 1035 |
-
"accuracy": 0.
|
| 1036 |
-
"count":
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| 1037 |
},
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"UD": {
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-
"accuracy": 0.
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-
"count":
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}
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}
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}
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},
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"summary": {
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-
"overall_accuracy": 0.
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| 1047 |
-
"
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-
"
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}
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},
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| 1051 |
"sorl_eval": {
|
|
@@ -1054,416 +1119,477 @@
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"K": 1,
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"mode": "sorl",
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"n_digits": 6,
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| 1057 |
-
"n_per_split":
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},
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"splits": {
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"add_S0": {
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"full_accuracy": 1.0,
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-
"
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"per_subtask": {
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"SA": {
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"accuracy": 1.0,
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-
"count":
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"SS": {
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"accuracy": 1.0,
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-
"count":
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}
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"add_S1": {
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"full_accuracy": 1.0,
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-
"
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"per_subtask": {
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"SA": {
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"accuracy": 1.0,
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-
"count":
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},
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"SC": {
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"accuracy": 1.0,
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-
"count":
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},
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"SS": {
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"accuracy": 1.0,
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-
"count":
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},
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"UC": {
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"accuracy": 1.0,
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-
"count":
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}
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}
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},
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"add_S2": {
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"full_accuracy": 1.0,
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-
"
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"per_subtask": {
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"SA": {
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"accuracy": 1.0,
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-
"count":
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},
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"SC": {
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"accuracy": 1.0,
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-
"count":
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},
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"SS": {
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"accuracy": 1.0,
|
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-
"count":
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},
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"UC": {
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"accuracy": 1.0,
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-
"count":
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},
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"US": {
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"accuracy": 1.0,
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-
"count":
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| 1119 |
}
|
| 1120 |
}
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},
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"add_S3": {
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"full_accuracy": 1.0,
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-
"
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"per_subtask": {
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"SA": {
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"accuracy": 1.0,
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-
"count":
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},
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"SC": {
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"accuracy": 1.0,
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-
"count":
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},
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"SS": {
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"accuracy": 1.0,
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-
"count":
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},
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"UC": {
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"accuracy": 1.0,
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-
"count":
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},
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"US": {
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"accuracy": 1.0,
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-
"count":
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| 1145 |
}
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}
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},
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"add_S4": {
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"full_accuracy": 1.0,
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-
"
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"per_subtask": {
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"SA": {
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"accuracy": 1.0,
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-
"count":
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},
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"SC": {
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"accuracy": 1.0,
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-
"count":
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},
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"SS": {
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"accuracy": 1.0,
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"count":
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},
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"UC": {
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"accuracy": 1.0,
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-
"count":
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},
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"US": {
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"accuracy": 1.0,
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-
"count":
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}
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}
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},
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"add_S5": {
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-
"full_accuracy": 0.
|
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-
"
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"per_subtask": {
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"SA": {
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"accuracy": 1.0,
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-
"count":
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},
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"SC": {
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"accuracy": 1.0,
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-
"count":
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},
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"UC": {
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-
"accuracy": 0.
|
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-
"count":
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},
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"US": {
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"accuracy": 1.0,
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-
"count":
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}
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}
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},
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"add_S6": {
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"full_accuracy": 1.0,
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-
"
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"per_subtask": {
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"SC": {
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"accuracy": 1.0,
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-
"count":
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| 1203 |
},
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"UC": {
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"accuracy": 1.0,
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| 1206 |
-
"count":
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| 1207 |
},
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"US": {
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| 1209 |
"accuracy": 1.0,
|
| 1210 |
-
"count":
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| 1211 |
}
|
| 1212 |
}
|
| 1213 |
},
|
| 1214 |
"add_random": {
|
| 1215 |
"full_accuracy": 1.0,
|
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| 1216 |
"n_examples": 200,
|
| 1217 |
"per_subtask": {
|
| 1218 |
"SA": {
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"accuracy": 1.0,
|
| 1220 |
-
"count":
|
| 1221 |
},
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"SC": {
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"accuracy": 1.0,
|
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-
"count":
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},
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"SS": {
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| 1227 |
"accuracy": 1.0,
|
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-
"count":
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| 1229 |
},
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"UC": {
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| 1231 |
"accuracy": 1.0,
|
| 1232 |
-
"count":
|
| 1233 |
},
|
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"US": {
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"accuracy": 1.0,
|
| 1236 |
-
"count":
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}
|
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}
|
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},
|
| 1240 |
"add_C3": {
|
| 1241 |
"full_accuracy": 1.0,
|
| 1242 |
-
"
|
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|
| 1243 |
"per_subtask": {
|
| 1244 |
"SA": {
|
| 1245 |
"accuracy": 1.0,
|
| 1246 |
-
"count":
|
| 1247 |
},
|
| 1248 |
"SC": {
|
| 1249 |
"accuracy": 1.0,
|
| 1250 |
-
"count":
|
| 1251 |
},
|
| 1252 |
"UC": {
|
| 1253 |
"accuracy": 1.0,
|
| 1254 |
-
"count":
|
| 1255 |
},
|
| 1256 |
"US": {
|
| 1257 |
"accuracy": 1.0,
|
| 1258 |
-
"count":
|
| 1259 |
}
|
| 1260 |
}
|
| 1261 |
},
|
| 1262 |
"add_C4": {
|
| 1263 |
"full_accuracy": 1.0,
|
| 1264 |
-
"
|
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| 1265 |
"per_subtask": {
|
| 1266 |
"SA": {
|
| 1267 |
"accuracy": 1.0,
|
| 1268 |
-
"count":
|
| 1269 |
},
|
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"SC": {
|
| 1271 |
"accuracy": 1.0,
|
| 1272 |
-
"count":
|
| 1273 |
},
|
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"UC": {
|
| 1275 |
"accuracy": 1.0,
|
| 1276 |
-
"count":
|
| 1277 |
},
|
| 1278 |
"US": {
|
| 1279 |
"accuracy": 1.0,
|
| 1280 |
-
"count":
|
| 1281 |
}
|
| 1282 |
}
|
| 1283 |
},
|
| 1284 |
"add_C5": {
|
| 1285 |
"full_accuracy": 1.0,
|
| 1286 |
-
"
|
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|
| 1287 |
"per_subtask": {
|
| 1288 |
"SA": {
|
| 1289 |
"accuracy": 1.0,
|
| 1290 |
-
"count":
|
| 1291 |
},
|
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"SC": {
|
| 1293 |
"accuracy": 1.0,
|
| 1294 |
-
"count":
|
| 1295 |
},
|
| 1296 |
"UC": {
|
| 1297 |
"accuracy": 1.0,
|
| 1298 |
-
"count":
|
| 1299 |
},
|
| 1300 |
"US": {
|
| 1301 |
"accuracy": 1.0,
|
| 1302 |
-
"count":
|
| 1303 |
}
|
| 1304 |
}
|
| 1305 |
},
|
| 1306 |
"add_C6": {
|
| 1307 |
"full_accuracy": 1.0,
|
| 1308 |
-
"
|
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|
| 1309 |
"per_subtask": {
|
| 1310 |
"SC": {
|
| 1311 |
"accuracy": 1.0,
|
| 1312 |
-
"count":
|
| 1313 |
},
|
| 1314 |
"UC": {
|
| 1315 |
"accuracy": 1.0,
|
| 1316 |
-
"count":
|
| 1317 |
},
|
| 1318 |
"US": {
|
| 1319 |
"accuracy": 1.0,
|
| 1320 |
-
"count":
|
| 1321 |
}
|
| 1322 |
}
|
| 1323 |
},
|
| 1324 |
"sub_M0": {
|
| 1325 |
"full_accuracy": 1.0,
|
| 1326 |
-
"
|
|
|
|
| 1327 |
"per_subtask": {
|
| 1328 |
"MD": {
|
| 1329 |
"accuracy": 1.0,
|
| 1330 |
-
"count":
|
| 1331 |
},
|
| 1332 |
"ME": {
|
| 1333 |
"accuracy": 1.0,
|
| 1334 |
-
"count":
|
| 1335 |
}
|
| 1336 |
}
|
| 1337 |
},
|
| 1338 |
"sub_M1": {
|
| 1339 |
"full_accuracy": 1.0,
|
| 1340 |
-
"
|
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|
| 1341 |
"per_subtask": {
|
| 1342 |
"MD": {
|
| 1343 |
"accuracy": 1.0,
|
| 1344 |
-
"count":
|
| 1345 |
},
|
| 1346 |
"MB": {
|
| 1347 |
"accuracy": 1.0,
|
| 1348 |
-
"count":
|
| 1349 |
},
|
| 1350 |
"ME": {
|
| 1351 |
"accuracy": 1.0,
|
| 1352 |
-
"count":
|
| 1353 |
},
|
| 1354 |
"UB": {
|
| 1355 |
"accuracy": 1.0,
|
| 1356 |
-
"count":
|
| 1357 |
}
|
| 1358 |
}
|
| 1359 |
},
|
| 1360 |
"sub_M2": {
|
| 1361 |
"full_accuracy": 1.0,
|
| 1362 |
-
"
|
|
|
|
| 1363 |
"per_subtask": {
|
| 1364 |
"MD": {
|
| 1365 |
"accuracy": 1.0,
|
| 1366 |
-
"count":
|
| 1367 |
},
|
| 1368 |
"MB": {
|
| 1369 |
"accuracy": 1.0,
|
| 1370 |
-
"count":
|
| 1371 |
},
|
| 1372 |
"ME": {
|
| 1373 |
"accuracy": 1.0,
|
| 1374 |
-
"count":
|
| 1375 |
},
|
| 1376 |
"UB": {
|
| 1377 |
"accuracy": 1.0,
|
| 1378 |
-
"count":
|
| 1379 |
},
|
| 1380 |
"UD": {
|
| 1381 |
"accuracy": 1.0,
|
| 1382 |
-
"count":
|
| 1383 |
}
|
| 1384 |
}
|
| 1385 |
},
|
| 1386 |
"sub_M3": {
|
| 1387 |
"full_accuracy": 1.0,
|
| 1388 |
-
"
|
|
|
|
| 1389 |
"per_subtask": {
|
| 1390 |
"MD": {
|
| 1391 |
"accuracy": 1.0,
|
| 1392 |
-
"count":
|
| 1393 |
},
|
| 1394 |
"MB": {
|
| 1395 |
"accuracy": 1.0,
|
| 1396 |
-
"count":
|
| 1397 |
},
|
| 1398 |
"ME": {
|
| 1399 |
"accuracy": 1.0,
|
| 1400 |
-
"count":
|
| 1401 |
},
|
| 1402 |
"UB": {
|
| 1403 |
"accuracy": 1.0,
|
| 1404 |
-
"count":
|
| 1405 |
},
|
| 1406 |
"UD": {
|
| 1407 |
"accuracy": 1.0,
|
| 1408 |
-
"count":
|
| 1409 |
}
|
| 1410 |
}
|
| 1411 |
},
|
| 1412 |
"sub_M4": {
|
| 1413 |
"full_accuracy": 1.0,
|
| 1414 |
-
"
|
|
|
|
| 1415 |
"per_subtask": {
|
| 1416 |
"MD": {
|
| 1417 |
"accuracy": 1.0,
|
| 1418 |
-
"count":
|
| 1419 |
},
|
| 1420 |
"MB": {
|
| 1421 |
"accuracy": 1.0,
|
| 1422 |
-
"count":
|
| 1423 |
},
|
| 1424 |
"UB": {
|
| 1425 |
"accuracy": 1.0,
|
| 1426 |
-
"count":
|
| 1427 |
},
|
| 1428 |
"UD": {
|
| 1429 |
"accuracy": 1.0,
|
| 1430 |
-
"count":
|
| 1431 |
}
|
| 1432 |
}
|
| 1433 |
},
|
| 1434 |
"sub_M5": {
|
| 1435 |
-
"full_accuracy": 0.
|
| 1436 |
-
"
|
|
|
|
| 1437 |
"per_subtask": {
|
| 1438 |
"MD": {
|
| 1439 |
"accuracy": 1.0,
|
| 1440 |
-
"count":
|
| 1441 |
},
|
| 1442 |
"MB": {
|
| 1443 |
"accuracy": 1.0,
|
| 1444 |
-
"count":
|
| 1445 |
},
|
| 1446 |
"UB": {
|
| 1447 |
-
"accuracy": 0.
|
| 1448 |
-
"count":
|
| 1449 |
},
|
| 1450 |
"UD": {
|
| 1451 |
"accuracy": 1.0,
|
| 1452 |
-
"count":
|
| 1453 |
}
|
| 1454 |
}
|
| 1455 |
},
|
| 1456 |
"sub_random": {
|
| 1457 |
"full_accuracy": 1.0,
|
|
|
|
| 1458 |
"n_examples": 200,
|
| 1459 |
"per_subtask": {
|
| 1460 |
"MD": {
|
| 1461 |
"accuracy": 1.0,
|
| 1462 |
-
"count":
|
| 1463 |
},
|
| 1464 |
"MB": {
|
| 1465 |
"accuracy": 1.0,
|
| 1466 |
-
"count":
|
| 1467 |
},
|
| 1468 |
"ME": {
|
| 1469 |
"accuracy": 1.0,
|
|
@@ -1471,85 +1597,89 @@
|
|
| 1471 |
},
|
| 1472 |
"UB": {
|
| 1473 |
"accuracy": 1.0,
|
| 1474 |
-
"count":
|
| 1475 |
},
|
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"UD": {
|
| 1477 |
"accuracy": 1.0,
|
| 1478 |
-
"count":
|
| 1479 |
}
|
| 1480 |
}
|
| 1481 |
},
|
| 1482 |
"sub_B3": {
|
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"full_accuracy": 1.0,
|
| 1484 |
-
"
|
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"per_subtask": {
|
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"MD": {
|
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"accuracy": 1.0,
|
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-
"count":
|
| 1489 |
},
|
| 1490 |
"MB": {
|
| 1491 |
"accuracy": 1.0,
|
| 1492 |
-
"count":
|
| 1493 |
},
|
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"UB": {
|
| 1495 |
"accuracy": 1.0,
|
| 1496 |
-
"count":
|
| 1497 |
},
|
| 1498 |
"UD": {
|
| 1499 |
"accuracy": 1.0,
|
| 1500 |
-
"count":
|
| 1501 |
}
|
| 1502 |
}
|
| 1503 |
},
|
| 1504 |
"sub_B4": {
|
| 1505 |
"full_accuracy": 1.0,
|
| 1506 |
-
"
|
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|
|
| 1507 |
"per_subtask": {
|
| 1508 |
"MD": {
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| 1497 |
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| 1501 |
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| 1516 |
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| 1520 |
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| 1524 |
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| 1528 |
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| 1529 |
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| 1531 |
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| 1532 |
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| 1533 |
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| 1534 |
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| 1543 |
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| 1551 |
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| 1554 |
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| 1555 |
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| 1556 |
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| 1557 |
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| 1559 |
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| 1560 |
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| 1565 |
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| 1566 |
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| 1569 |
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| 1570 |
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| 1572 |
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| 1574 |
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| 1575 |
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| 1576 |
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| 1577 |
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| 1578 |
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| 1579 |
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| 1580 |
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| 1581 |
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| 1583 |
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| 1585 |
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| 1587 |
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| 1588 |
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| 1589 |
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| 1590 |
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| 1592 |
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| 1593 |
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| 1594 |
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| 1595 |
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|
|
|
| 1597 |
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| 1598 |
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| 1599 |
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| 1600 |
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| 1601 |
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| 1602 |
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| 1603 |
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| 1604 |
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| 1605 |
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| 1606 |
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| 1607 |
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| 1608 |
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| 1610 |
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| 1611 |
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| 1620 |
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| 1624 |
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| 1627 |
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| 1628 |
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| 1629 |
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| 1630 |
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| 1631 |
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| 1633 |
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| 1634 |
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| 1637 |
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| 1638 |
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| 1639 |
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| 1642 |
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| 1643 |
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| 1644 |
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| 1647 |
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| 1650 |
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| 1651 |
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| 1652 |
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| 1653 |
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| 1655 |
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| 1656 |
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| 1675 |
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| 1676 |
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| 1677 |
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