Training in progress, step 200, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 59933632
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b72e0066f4b7f8f4b50f2c1fd4593bda4b1405a75ada0a5aae4b39d81807bcae
|
3 |
size 59933632
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 31822948
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:348f0f64ba5d7dbe1f8d90b14d6b4450c9c7b3a6afcbf7203fc037f06155a11c
|
3 |
size 31822948
|
last-checkpoint/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:599fcd51549b8b7134c0c9bf4976c30de4777ba09fca8ac41d8b170c633b1951
|
3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ca9a25c72339c898b564e0c464a3f6fc75bbeec408008928b7ed05533156b98c
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 0.
|
5 |
"eval_steps": 50,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -1089,6 +1089,364 @@
|
|
1089 |
"eval_samples_per_second": 27.322,
|
1090 |
"eval_steps_per_second": 13.661,
|
1091 |
"step": 150
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1092 |
}
|
1093 |
],
|
1094 |
"logging_steps": 1,
|
@@ -1103,12 +1461,12 @@
|
|
1103 |
"should_evaluate": false,
|
1104 |
"should_log": false,
|
1105 |
"should_save": true,
|
1106 |
-
"should_training_stop":
|
1107 |
},
|
1108 |
"attributes": {}
|
1109 |
}
|
1110 |
},
|
1111 |
-
"total_flos": 2.
|
1112 |
"train_batch_size": 2,
|
1113 |
"trial_name": null,
|
1114 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.012672665061462425,
|
5 |
"eval_steps": 50,
|
6 |
+
"global_step": 200,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
1089 |
"eval_samples_per_second": 27.322,
|
1090 |
"eval_steps_per_second": 13.661,
|
1091 |
"step": 150
|
1092 |
+
},
|
1093 |
+
{
|
1094 |
+
"epoch": 0.009567862121404131,
|
1095 |
+
"grad_norm": 0.6333056092262268,
|
1096 |
+
"learning_rate": 3.106465908814342e-05,
|
1097 |
+
"loss": 0.5005,
|
1098 |
+
"step": 151
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 0.009631225446711444,
|
1102 |
+
"grad_norm": 0.5589426159858704,
|
1103 |
+
"learning_rate": 2.9876321572751144e-05,
|
1104 |
+
"loss": 0.3283,
|
1105 |
+
"step": 152
|
1106 |
+
},
|
1107 |
+
{
|
1108 |
+
"epoch": 0.009694588772018755,
|
1109 |
+
"grad_norm": 0.6089442372322083,
|
1110 |
+
"learning_rate": 2.87071551708603e-05,
|
1111 |
+
"loss": 0.407,
|
1112 |
+
"step": 153
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 0.009757952097326068,
|
1116 |
+
"grad_norm": 0.6092202663421631,
|
1117 |
+
"learning_rate": 2.7557479520891104e-05,
|
1118 |
+
"loss": 0.3826,
|
1119 |
+
"step": 154
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.00982131542263338,
|
1123 |
+
"grad_norm": 0.7596146464347839,
|
1124 |
+
"learning_rate": 2.6427608932686843e-05,
|
1125 |
+
"loss": 0.3406,
|
1126 |
+
"step": 155
|
1127 |
+
},
|
1128 |
+
{
|
1129 |
+
"epoch": 0.009884678747940691,
|
1130 |
+
"grad_norm": 0.5944835543632507,
|
1131 |
+
"learning_rate": 2.5317852301584643e-05,
|
1132 |
+
"loss": 0.3796,
|
1133 |
+
"step": 156
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 0.009948042073248004,
|
1137 |
+
"grad_norm": 0.7699212431907654,
|
1138 |
+
"learning_rate": 2.422851302396655e-05,
|
1139 |
+
"loss": 0.3407,
|
1140 |
+
"step": 157
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 0.010011405398555316,
|
1144 |
+
"grad_norm": 0.640291690826416,
|
1145 |
+
"learning_rate": 2.315988891431412e-05,
|
1146 |
+
"loss": 0.2453,
|
1147 |
+
"step": 158
|
1148 |
+
},
|
1149 |
+
{
|
1150 |
+
"epoch": 0.010074768723862629,
|
1151 |
+
"grad_norm": 0.6129955649375916,
|
1152 |
+
"learning_rate": 2.2112272123788768e-05,
|
1153 |
+
"loss": 0.5138,
|
1154 |
+
"step": 159
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 0.01013813204916994,
|
1158 |
+
"grad_norm": 0.633854329586029,
|
1159 |
+
"learning_rate": 2.1085949060360654e-05,
|
1160 |
+
"loss": 0.2867,
|
1161 |
+
"step": 160
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 0.010201495374477253,
|
1165 |
+
"grad_norm": 0.5275560021400452,
|
1166 |
+
"learning_rate": 2.008120031050753e-05,
|
1167 |
+
"loss": 0.497,
|
1168 |
+
"step": 161
|
1169 |
+
},
|
1170 |
+
{
|
1171 |
+
"epoch": 0.010264858699784565,
|
1172 |
+
"grad_norm": 0.5423012971878052,
|
1173 |
+
"learning_rate": 1.9098300562505266e-05,
|
1174 |
+
"loss": 0.3148,
|
1175 |
+
"step": 162
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 0.010328222025091876,
|
1179 |
+
"grad_norm": 0.6173859238624573,
|
1180 |
+
"learning_rate": 1.8137518531330767e-05,
|
1181 |
+
"loss": 0.4203,
|
1182 |
+
"step": 163
|
1183 |
+
},
|
1184 |
+
{
|
1185 |
+
"epoch": 0.010391585350399189,
|
1186 |
+
"grad_norm": 0.5317500829696655,
|
1187 |
+
"learning_rate": 1.7199116885197995e-05,
|
1188 |
+
"loss": 0.3832,
|
1189 |
+
"step": 164
|
1190 |
+
},
|
1191 |
+
{
|
1192 |
+
"epoch": 0.010454948675706502,
|
1193 |
+
"grad_norm": 0.7663280963897705,
|
1194 |
+
"learning_rate": 1.6283352173747145e-05,
|
1195 |
+
"loss": 0.4067,
|
1196 |
+
"step": 165
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 0.010518312001013812,
|
1200 |
+
"grad_norm": 0.721696138381958,
|
1201 |
+
"learning_rate": 1.5390474757906446e-05,
|
1202 |
+
"loss": 0.5179,
|
1203 |
+
"step": 166
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 0.010581675326321125,
|
1207 |
+
"grad_norm": 0.5552138686180115,
|
1208 |
+
"learning_rate": 1.4520728741446089e-05,
|
1209 |
+
"loss": 0.3094,
|
1210 |
+
"step": 167
|
1211 |
+
},
|
1212 |
+
{
|
1213 |
+
"epoch": 0.010645038651628438,
|
1214 |
+
"grad_norm": 0.9579009413719177,
|
1215 |
+
"learning_rate": 1.3674351904242611e-05,
|
1216 |
+
"loss": 0.5804,
|
1217 |
+
"step": 168
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 0.01070840197693575,
|
1221 |
+
"grad_norm": 0.6748710870742798,
|
1222 |
+
"learning_rate": 1.2851575637272262e-05,
|
1223 |
+
"loss": 0.3898,
|
1224 |
+
"step": 169
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 0.010771765302243061,
|
1228 |
+
"grad_norm": 0.4435841143131256,
|
1229 |
+
"learning_rate": 1.2052624879351104e-05,
|
1230 |
+
"loss": 0.2155,
|
1231 |
+
"step": 170
|
1232 |
+
},
|
1233 |
+
{
|
1234 |
+
"epoch": 0.010835128627550374,
|
1235 |
+
"grad_norm": 0.5674950480461121,
|
1236 |
+
"learning_rate": 1.1277718055638819e-05,
|
1237 |
+
"loss": 0.4185,
|
1238 |
+
"step": 171
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 0.010898491952857687,
|
1242 |
+
"grad_norm": 0.6614958047866821,
|
1243 |
+
"learning_rate": 1.0527067017923654e-05,
|
1244 |
+
"loss": 0.3382,
|
1245 |
+
"step": 172
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 0.010961855278164997,
|
1249 |
+
"grad_norm": 0.6172627806663513,
|
1250 |
+
"learning_rate": 9.80087698670411e-06,
|
1251 |
+
"loss": 0.2709,
|
1252 |
+
"step": 173
|
1253 |
+
},
|
1254 |
+
{
|
1255 |
+
"epoch": 0.01102521860347231,
|
1256 |
+
"grad_norm": 0.6699212789535522,
|
1257 |
+
"learning_rate": 9.09934649508375e-06,
|
1258 |
+
"loss": 0.3927,
|
1259 |
+
"step": 174
|
1260 |
+
},
|
1261 |
+
{
|
1262 |
+
"epoch": 0.011088581928779623,
|
1263 |
+
"grad_norm": 0.6174507141113281,
|
1264 |
+
"learning_rate": 8.422667334494249e-06,
|
1265 |
+
"loss": 0.3937,
|
1266 |
+
"step": 175
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 0.011151945254086934,
|
1270 |
+
"grad_norm": 1.5301414728164673,
|
1271 |
+
"learning_rate": 7.771024502261526e-06,
|
1272 |
+
"loss": 0.2859,
|
1273 |
+
"step": 176
|
1274 |
+
},
|
1275 |
+
{
|
1276 |
+
"epoch": 0.011215308579394246,
|
1277 |
+
"grad_norm": 0.6501045823097229,
|
1278 |
+
"learning_rate": 7.144596151029303e-06,
|
1279 |
+
"loss": 0.4025,
|
1280 |
+
"step": 177
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 0.011278671904701559,
|
1284 |
+
"grad_norm": 0.8940390348434448,
|
1285 |
+
"learning_rate": 6.543553540053926e-06,
|
1286 |
+
"loss": 0.3392,
|
1287 |
+
"step": 178
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 0.011342035230008872,
|
1291 |
+
"grad_norm": 0.5241157412528992,
|
1292 |
+
"learning_rate": 5.968060988383883e-06,
|
1293 |
+
"loss": 0.3524,
|
1294 |
+
"step": 179
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 0.011405398555316183,
|
1298 |
+
"grad_norm": 0.44170692563056946,
|
1299 |
+
"learning_rate": 5.418275829936537e-06,
|
1300 |
+
"loss": 0.3085,
|
1301 |
+
"step": 180
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 0.011468761880623495,
|
1305 |
+
"grad_norm": 0.5839574933052063,
|
1306 |
+
"learning_rate": 4.8943483704846475e-06,
|
1307 |
+
"loss": 0.4545,
|
1308 |
+
"step": 181
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 0.011532125205930808,
|
1312 |
+
"grad_norm": 0.768035352230072,
|
1313 |
+
"learning_rate": 4.3964218465642355e-06,
|
1314 |
+
"loss": 0.3086,
|
1315 |
+
"step": 182
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 0.011595488531238119,
|
1319 |
+
"grad_norm": 0.39008185267448425,
|
1320 |
+
"learning_rate": 3.924632386315186e-06,
|
1321 |
+
"loss": 0.2691,
|
1322 |
+
"step": 183
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 0.011658851856545431,
|
1326 |
+
"grad_norm": 0.5092243552207947,
|
1327 |
+
"learning_rate": 3.4791089722651436e-06,
|
1328 |
+
"loss": 0.3891,
|
1329 |
+
"step": 184
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 0.011722215181852744,
|
1333 |
+
"grad_norm": 0.6592461466789246,
|
1334 |
+
"learning_rate": 3.059973406066963e-06,
|
1335 |
+
"loss": 0.3093,
|
1336 |
+
"step": 185
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 0.011785578507160055,
|
1340 |
+
"grad_norm": 0.7416530251502991,
|
1341 |
+
"learning_rate": 2.667340275199426e-06,
|
1342 |
+
"loss": 0.3265,
|
1343 |
+
"step": 186
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 0.011848941832467368,
|
1347 |
+
"grad_norm": 0.9776325821876526,
|
1348 |
+
"learning_rate": 2.3013169216400733e-06,
|
1349 |
+
"loss": 0.3259,
|
1350 |
+
"step": 187
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 0.01191230515777468,
|
1354 |
+
"grad_norm": 0.668077290058136,
|
1355 |
+
"learning_rate": 1.9620034125190644e-06,
|
1356 |
+
"loss": 0.3664,
|
1357 |
+
"step": 188
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 0.011975668483081993,
|
1361 |
+
"grad_norm": 0.677909791469574,
|
1362 |
+
"learning_rate": 1.6494925127617634e-06,
|
1363 |
+
"loss": 0.3525,
|
1364 |
+
"step": 189
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 0.012039031808389304,
|
1368 |
+
"grad_norm": 0.7730016708374023,
|
1369 |
+
"learning_rate": 1.3638696597277679e-06,
|
1370 |
+
"loss": 0.385,
|
1371 |
+
"step": 190
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 0.012102395133696616,
|
1375 |
+
"grad_norm": 0.3925216495990753,
|
1376 |
+
"learning_rate": 1.1052129398531507e-06,
|
1377 |
+
"loss": 0.2316,
|
1378 |
+
"step": 191
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 0.012165758459003929,
|
1382 |
+
"grad_norm": 0.5705835223197937,
|
1383 |
+
"learning_rate": 8.735930673024806e-07,
|
1384 |
+
"loss": 0.3251,
|
1385 |
+
"step": 192
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 0.01222912178431124,
|
1389 |
+
"grad_norm": 0.6721336841583252,
|
1390 |
+
"learning_rate": 6.690733646361857e-07,
|
1391 |
+
"loss": 0.3518,
|
1392 |
+
"step": 193
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 0.012292485109618553,
|
1396 |
+
"grad_norm": 0.4080224931240082,
|
1397 |
+
"learning_rate": 4.917097454988584e-07,
|
1398 |
+
"loss": 0.373,
|
1399 |
+
"step": 194
|
1400 |
+
},
|
1401 |
+
{
|
1402 |
+
"epoch": 0.012355848434925865,
|
1403 |
+
"grad_norm": 0.45140305161476135,
|
1404 |
+
"learning_rate": 3.415506993330153e-07,
|
1405 |
+
"loss": 0.3109,
|
1406 |
+
"step": 195
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 0.012419211760233176,
|
1410 |
+
"grad_norm": 0.5861942768096924,
|
1411 |
+
"learning_rate": 2.1863727812254653e-07,
|
1412 |
+
"loss": 0.4429,
|
1413 |
+
"step": 196
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 0.012482575085540489,
|
1417 |
+
"grad_norm": 0.6811448335647583,
|
1418 |
+
"learning_rate": 1.230030851695263e-07,
|
1419 |
+
"loss": 0.3463,
|
1420 |
+
"step": 197
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 0.012545938410847801,
|
1424 |
+
"grad_norm": 0.6060794591903687,
|
1425 |
+
"learning_rate": 5.467426590739511e-08,
|
1426 |
+
"loss": 0.4508,
|
1427 |
+
"step": 198
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 0.012609301736155114,
|
1431 |
+
"grad_norm": 0.542587399482727,
|
1432 |
+
"learning_rate": 1.3669500753099585e-08,
|
1433 |
+
"loss": 0.3189,
|
1434 |
+
"step": 199
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 0.012672665061462425,
|
1438 |
+
"grad_norm": 0.4969688951969147,
|
1439 |
+
"learning_rate": 0.0,
|
1440 |
+
"loss": 0.2483,
|
1441 |
+
"step": 200
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 0.012672665061462425,
|
1445 |
+
"eval_loss": 0.36642253398895264,
|
1446 |
+
"eval_runtime": 243.7079,
|
1447 |
+
"eval_samples_per_second": 27.27,
|
1448 |
+
"eval_steps_per_second": 13.635,
|
1449 |
+
"step": 200
|
1450 |
}
|
1451 |
],
|
1452 |
"logging_steps": 1,
|
|
|
1461 |
"should_evaluate": false,
|
1462 |
"should_log": false,
|
1463 |
"should_save": true,
|
1464 |
+
"should_training_stop": true
|
1465 |
},
|
1466 |
"attributes": {}
|
1467 |
}
|
1468 |
},
|
1469 |
+
"total_flos": 2.737284494603059e+16,
|
1470 |
"train_batch_size": 2,
|
1471 |
"trial_name": null,
|
1472 |
"trial_params": null
|