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 226530600
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2b9481b60263b028ec8d6e576d27b74021df87e631d5a33c5c5fcd5876c03c8f
|
3 |
size 226530600
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 115354708
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:734ab2cd6dd4512cef7ddae12bf01dc567ac9b6368afaa3fac5210d774abf095
|
3 |
size 115354708
|
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:dbb09a6aa8d206a1ec51579c5b25d6675729dab3a0fc5e72ace229d9bde69b69
|
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:d703f9adb617aa1ec13556a7b7482c741f765121a5a04f3cafdcfbce6ed485ee
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "miner_id_24/checkpoint-
|
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": 43.989,
|
1090 |
"eval_steps_per_second": 10.997,
|
1091 |
"step": 150
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1092 |
}
|
1093 |
],
|
1094 |
"logging_steps": 1,
|
@@ -1112,12 +1470,12 @@
|
|
1112 |
"should_evaluate": false,
|
1113 |
"should_log": false,
|
1114 |
"should_save": true,
|
1115 |
-
"should_training_stop":
|
1116 |
},
|
1117 |
"attributes": {}
|
1118 |
}
|
1119 |
},
|
1120 |
-
"total_flos": 1.
|
1121 |
"train_batch_size": 4,
|
1122 |
"trial_name": null,
|
1123 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.5769926309585571,
|
3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-200",
|
4 |
+
"epoch": 0.7532956685499058,
|
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": 43.989,
|
1090 |
"eval_steps_per_second": 10.997,
|
1091 |
"step": 150
|
1092 |
+
},
|
1093 |
+
{
|
1094 |
+
"epoch": 0.568738229755179,
|
1095 |
+
"grad_norm": 0.19955414533615112,
|
1096 |
+
"learning_rate": 2.6253684210526317e-05,
|
1097 |
+
"loss": 0.5705,
|
1098 |
+
"step": 151
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 0.5725047080979284,
|
1102 |
+
"grad_norm": 0.24504195153713226,
|
1103 |
+
"learning_rate": 2.5717894736842106e-05,
|
1104 |
+
"loss": 0.7473,
|
1105 |
+
"step": 152
|
1106 |
+
},
|
1107 |
+
{
|
1108 |
+
"epoch": 0.576271186440678,
|
1109 |
+
"grad_norm": 0.27941247820854187,
|
1110 |
+
"learning_rate": 2.518210526315789e-05,
|
1111 |
+
"loss": 0.6658,
|
1112 |
+
"step": 153
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 0.5800376647834274,
|
1116 |
+
"grad_norm": 0.24577289819717407,
|
1117 |
+
"learning_rate": 2.4646315789473683e-05,
|
1118 |
+
"loss": 0.7071,
|
1119 |
+
"step": 154
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.583804143126177,
|
1123 |
+
"grad_norm": 0.2300121784210205,
|
1124 |
+
"learning_rate": 2.411052631578947e-05,
|
1125 |
+
"loss": 0.6006,
|
1126 |
+
"step": 155
|
1127 |
+
},
|
1128 |
+
{
|
1129 |
+
"epoch": 0.5875706214689266,
|
1130 |
+
"grad_norm": 0.24530534446239471,
|
1131 |
+
"learning_rate": 2.357473684210526e-05,
|
1132 |
+
"loss": 0.618,
|
1133 |
+
"step": 156
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 0.591337099811676,
|
1137 |
+
"grad_norm": 0.25975605845451355,
|
1138 |
+
"learning_rate": 2.3038947368421052e-05,
|
1139 |
+
"loss": 0.6039,
|
1140 |
+
"step": 157
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 0.5951035781544256,
|
1144 |
+
"grad_norm": 0.26106777787208557,
|
1145 |
+
"learning_rate": 2.250315789473684e-05,
|
1146 |
+
"loss": 0.5157,
|
1147 |
+
"step": 158
|
1148 |
+
},
|
1149 |
+
{
|
1150 |
+
"epoch": 0.5988700564971752,
|
1151 |
+
"grad_norm": 0.2734393775463104,
|
1152 |
+
"learning_rate": 2.196736842105263e-05,
|
1153 |
+
"loss": 0.6128,
|
1154 |
+
"step": 159
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 0.6026365348399246,
|
1158 |
+
"grad_norm": 0.2958735227584839,
|
1159 |
+
"learning_rate": 2.1431578947368418e-05,
|
1160 |
+
"loss": 0.6668,
|
1161 |
+
"step": 160
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 0.6064030131826742,
|
1165 |
+
"grad_norm": 0.32622960209846497,
|
1166 |
+
"learning_rate": 2.089578947368421e-05,
|
1167 |
+
"loss": 0.73,
|
1168 |
+
"step": 161
|
1169 |
+
},
|
1170 |
+
{
|
1171 |
+
"epoch": 0.6101694915254238,
|
1172 |
+
"grad_norm": 0.29832321405410767,
|
1173 |
+
"learning_rate": 2.036e-05,
|
1174 |
+
"loss": 0.648,
|
1175 |
+
"step": 162
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 0.6139359698681732,
|
1179 |
+
"grad_norm": 0.3251093626022339,
|
1180 |
+
"learning_rate": 1.9824210526315787e-05,
|
1181 |
+
"loss": 0.6642,
|
1182 |
+
"step": 163
|
1183 |
+
},
|
1184 |
+
{
|
1185 |
+
"epoch": 0.6177024482109228,
|
1186 |
+
"grad_norm": 0.30713552236557007,
|
1187 |
+
"learning_rate": 1.928842105263158e-05,
|
1188 |
+
"loss": 0.5635,
|
1189 |
+
"step": 164
|
1190 |
+
},
|
1191 |
+
{
|
1192 |
+
"epoch": 0.6214689265536724,
|
1193 |
+
"grad_norm": 0.36056530475616455,
|
1194 |
+
"learning_rate": 1.8752631578947367e-05,
|
1195 |
+
"loss": 0.7228,
|
1196 |
+
"step": 165
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 0.6252354048964218,
|
1200 |
+
"grad_norm": 0.3532079756259918,
|
1201 |
+
"learning_rate": 1.8216842105263156e-05,
|
1202 |
+
"loss": 0.5366,
|
1203 |
+
"step": 166
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 0.6290018832391714,
|
1207 |
+
"grad_norm": 0.3571911156177521,
|
1208 |
+
"learning_rate": 1.7681052631578948e-05,
|
1209 |
+
"loss": 0.6532,
|
1210 |
+
"step": 167
|
1211 |
+
},
|
1212 |
+
{
|
1213 |
+
"epoch": 0.632768361581921,
|
1214 |
+
"grad_norm": 0.35912466049194336,
|
1215 |
+
"learning_rate": 1.7145263157894736e-05,
|
1216 |
+
"loss": 0.5445,
|
1217 |
+
"step": 168
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 0.6365348399246704,
|
1221 |
+
"grad_norm": 0.36368894577026367,
|
1222 |
+
"learning_rate": 1.6609473684210525e-05,
|
1223 |
+
"loss": 0.5491,
|
1224 |
+
"step": 169
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 0.64030131826742,
|
1228 |
+
"grad_norm": 0.34409135580062866,
|
1229 |
+
"learning_rate": 1.6073684210526313e-05,
|
1230 |
+
"loss": 0.4394,
|
1231 |
+
"step": 170
|
1232 |
+
},
|
1233 |
+
{
|
1234 |
+
"epoch": 0.6440677966101694,
|
1235 |
+
"grad_norm": 0.38495466113090515,
|
1236 |
+
"learning_rate": 1.5537894736842105e-05,
|
1237 |
+
"loss": 0.6512,
|
1238 |
+
"step": 171
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 0.647834274952919,
|
1242 |
+
"grad_norm": 0.3448059558868408,
|
1243 |
+
"learning_rate": 1.5002105263157892e-05,
|
1244 |
+
"loss": 0.4943,
|
1245 |
+
"step": 172
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 0.6516007532956686,
|
1249 |
+
"grad_norm": 0.36092063784599304,
|
1250 |
+
"learning_rate": 1.4466315789473684e-05,
|
1251 |
+
"loss": 0.5685,
|
1252 |
+
"step": 173
|
1253 |
+
},
|
1254 |
+
{
|
1255 |
+
"epoch": 0.655367231638418,
|
1256 |
+
"grad_norm": 0.37616080045700073,
|
1257 |
+
"learning_rate": 1.3930526315789474e-05,
|
1258 |
+
"loss": 0.5859,
|
1259 |
+
"step": 174
|
1260 |
+
},
|
1261 |
+
{
|
1262 |
+
"epoch": 0.6591337099811676,
|
1263 |
+
"grad_norm": 0.3933235704898834,
|
1264 |
+
"learning_rate": 1.3394736842105261e-05,
|
1265 |
+
"loss": 0.5828,
|
1266 |
+
"step": 175
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 0.6629001883239172,
|
1270 |
+
"grad_norm": 0.42634278535842896,
|
1271 |
+
"learning_rate": 1.2858947368421053e-05,
|
1272 |
+
"loss": 0.605,
|
1273 |
+
"step": 176
|
1274 |
+
},
|
1275 |
+
{
|
1276 |
+
"epoch": 0.6666666666666666,
|
1277 |
+
"grad_norm": 0.3862863779067993,
|
1278 |
+
"learning_rate": 1.2323157894736842e-05,
|
1279 |
+
"loss": 0.5609,
|
1280 |
+
"step": 177
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 0.6704331450094162,
|
1284 |
+
"grad_norm": 0.4162931740283966,
|
1285 |
+
"learning_rate": 1.178736842105263e-05,
|
1286 |
+
"loss": 0.6204,
|
1287 |
+
"step": 178
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 0.6741996233521658,
|
1291 |
+
"grad_norm": 0.36133626103401184,
|
1292 |
+
"learning_rate": 1.125157894736842e-05,
|
1293 |
+
"loss": 0.455,
|
1294 |
+
"step": 179
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 0.6779661016949152,
|
1298 |
+
"grad_norm": 0.4119521379470825,
|
1299 |
+
"learning_rate": 1.0715789473684209e-05,
|
1300 |
+
"loss": 0.4619,
|
1301 |
+
"step": 180
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 0.6817325800376648,
|
1305 |
+
"grad_norm": 0.42595550417900085,
|
1306 |
+
"learning_rate": 1.018e-05,
|
1307 |
+
"loss": 0.5468,
|
1308 |
+
"step": 181
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 0.6854990583804144,
|
1312 |
+
"grad_norm": 0.4045557379722595,
|
1313 |
+
"learning_rate": 9.64421052631579e-06,
|
1314 |
+
"loss": 0.6256,
|
1315 |
+
"step": 182
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 0.6892655367231638,
|
1319 |
+
"grad_norm": 0.39754652976989746,
|
1320 |
+
"learning_rate": 9.108421052631578e-06,
|
1321 |
+
"loss": 0.3705,
|
1322 |
+
"step": 183
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 0.6930320150659134,
|
1326 |
+
"grad_norm": 0.40420177578926086,
|
1327 |
+
"learning_rate": 8.572631578947368e-06,
|
1328 |
+
"loss": 0.5937,
|
1329 |
+
"step": 184
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 0.696798493408663,
|
1333 |
+
"grad_norm": 0.4251862168312073,
|
1334 |
+
"learning_rate": 8.036842105263157e-06,
|
1335 |
+
"loss": 0.5046,
|
1336 |
+
"step": 185
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 0.7005649717514124,
|
1340 |
+
"grad_norm": 0.48561224341392517,
|
1341 |
+
"learning_rate": 7.501052631578946e-06,
|
1342 |
+
"loss": 0.5133,
|
1343 |
+
"step": 186
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 0.704331450094162,
|
1347 |
+
"grad_norm": 0.487111359834671,
|
1348 |
+
"learning_rate": 6.965263157894737e-06,
|
1349 |
+
"loss": 0.587,
|
1350 |
+
"step": 187
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 0.7080979284369114,
|
1354 |
+
"grad_norm": 0.45947694778442383,
|
1355 |
+
"learning_rate": 6.4294736842105265e-06,
|
1356 |
+
"loss": 0.592,
|
1357 |
+
"step": 188
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 0.711864406779661,
|
1361 |
+
"grad_norm": 0.5125983357429504,
|
1362 |
+
"learning_rate": 5.893684210526315e-06,
|
1363 |
+
"loss": 0.4986,
|
1364 |
+
"step": 189
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 0.7156308851224106,
|
1368 |
+
"grad_norm": 0.4144290089607239,
|
1369 |
+
"learning_rate": 5.3578947368421044e-06,
|
1370 |
+
"loss": 0.3933,
|
1371 |
+
"step": 190
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 0.71939736346516,
|
1375 |
+
"grad_norm": 0.502846896648407,
|
1376 |
+
"learning_rate": 4.822105263157895e-06,
|
1377 |
+
"loss": 0.422,
|
1378 |
+
"step": 191
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 0.7231638418079096,
|
1382 |
+
"grad_norm": 0.47996261715888977,
|
1383 |
+
"learning_rate": 4.286315789473684e-06,
|
1384 |
+
"loss": 0.5033,
|
1385 |
+
"step": 192
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 0.7269303201506592,
|
1389 |
+
"grad_norm": 0.4302833378314972,
|
1390 |
+
"learning_rate": 3.750526315789473e-06,
|
1391 |
+
"loss": 0.3569,
|
1392 |
+
"step": 193
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 0.7306967984934086,
|
1396 |
+
"grad_norm": 0.47998151183128357,
|
1397 |
+
"learning_rate": 3.2147368421052633e-06,
|
1398 |
+
"loss": 0.3189,
|
1399 |
+
"step": 194
|
1400 |
+
},
|
1401 |
+
{
|
1402 |
+
"epoch": 0.7344632768361582,
|
1403 |
+
"grad_norm": 0.6263414025306702,
|
1404 |
+
"learning_rate": 2.6789473684210522e-06,
|
1405 |
+
"loss": 0.5123,
|
1406 |
+
"step": 195
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 0.7382297551789078,
|
1410 |
+
"grad_norm": 0.5459735989570618,
|
1411 |
+
"learning_rate": 2.143157894736842e-06,
|
1412 |
+
"loss": 0.4023,
|
1413 |
+
"step": 196
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 0.7419962335216572,
|
1417 |
+
"grad_norm": 0.6983940601348877,
|
1418 |
+
"learning_rate": 1.6073684210526316e-06,
|
1419 |
+
"loss": 0.6275,
|
1420 |
+
"step": 197
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 0.7457627118644068,
|
1424 |
+
"grad_norm": 0.667293906211853,
|
1425 |
+
"learning_rate": 1.071578947368421e-06,
|
1426 |
+
"loss": 0.5608,
|
1427 |
+
"step": 198
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 0.7495291902071564,
|
1431 |
+
"grad_norm": 0.9229950904846191,
|
1432 |
+
"learning_rate": 5.357894736842105e-07,
|
1433 |
+
"loss": 0.4369,
|
1434 |
+
"step": 199
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 0.7532956685499058,
|
1438 |
+
"grad_norm": 1.6464707851409912,
|
1439 |
+
"learning_rate": 0.0,
|
1440 |
+
"loss": 0.4719,
|
1441 |
+
"step": 200
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 0.7532956685499058,
|
1445 |
+
"eval_loss": 0.5769926309585571,
|
1446 |
+
"eval_runtime": 2.5481,
|
1447 |
+
"eval_samples_per_second": 43.954,
|
1448 |
+
"eval_steps_per_second": 10.989,
|
1449 |
+
"step": 200
|
1450 |
}
|
1451 |
],
|
1452 |
"logging_steps": 1,
|
|
|
1470 |
"should_evaluate": false,
|
1471 |
"should_log": false,
|
1472 |
"should_save": true,
|
1473 |
+
"should_training_stop": true
|
1474 |
},
|
1475 |
"attributes": {}
|
1476 |
}
|
1477 |
},
|
1478 |
+
"total_flos": 1.3771034188578816e+16,
|
1479 |
"train_batch_size": 4,
|
1480 |
"trial_name": null,
|
1481 |
"trial_params": null
|