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 639691872
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:489c464445b7d71c6bc0958673433d7a55eaa056f057a7c415b817cf452c7a43
|
3 |
size 639691872
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 325339796
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5d7fe452a53c6e6c6e32ddb798e96027abd9faaa9a643d96e286cd5e53fc77eb
|
3 |
size 325339796
|
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:ed4fa3443e28c3061ef70b82b3361b3c366300745782c921cc5ff4d66bdea1d8
|
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:f5efc880080e0854e5765c7a5ea108f46d0ccbf30b054c9bbb5a2162a1c5babf
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
-
"best_metric": 1.
|
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": 20.257,
|
1090 |
"eval_steps_per_second": 5.085,
|
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":
|
1121 |
"train_batch_size": 8,
|
1122 |
"trial_name": null,
|
1123 |
"trial_params": null
|
|
|
1 |
{
|
2 |
+
"best_metric": 1.4909777641296387,
|
3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-200",
|
4 |
+
"epoch": 0.1718213058419244,
|
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": 20.257,
|
1090 |
"eval_steps_per_second": 5.085,
|
1091 |
"step": 150
|
1092 |
+
},
|
1093 |
+
{
|
1094 |
+
"epoch": 0.12972508591065293,
|
1095 |
+
"grad_norm": 0.4515070617198944,
|
1096 |
+
"learning_rate": 2.5815263157894736e-05,
|
1097 |
+
"loss": 1.4754,
|
1098 |
+
"step": 151
|
1099 |
+
},
|
1100 |
+
{
|
1101 |
+
"epoch": 0.13058419243986255,
|
1102 |
+
"grad_norm": 0.3967503011226654,
|
1103 |
+
"learning_rate": 2.528842105263158e-05,
|
1104 |
+
"loss": 1.163,
|
1105 |
+
"step": 152
|
1106 |
+
},
|
1107 |
+
{
|
1108 |
+
"epoch": 0.13144329896907217,
|
1109 |
+
"grad_norm": 0.4591720998287201,
|
1110 |
+
"learning_rate": 2.4761578947368418e-05,
|
1111 |
+
"loss": 1.3497,
|
1112 |
+
"step": 153
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 0.1323024054982818,
|
1116 |
+
"grad_norm": 0.47611069679260254,
|
1117 |
+
"learning_rate": 2.423473684210526e-05,
|
1118 |
+
"loss": 1.2411,
|
1119 |
+
"step": 154
|
1120 |
+
},
|
1121 |
+
{
|
1122 |
+
"epoch": 0.1331615120274914,
|
1123 |
+
"grad_norm": 0.445859432220459,
|
1124 |
+
"learning_rate": 2.3707894736842103e-05,
|
1125 |
+
"loss": 1.3745,
|
1126 |
+
"step": 155
|
1127 |
+
},
|
1128 |
+
{
|
1129 |
+
"epoch": 0.13402061855670103,
|
1130 |
+
"grad_norm": 0.4517122507095337,
|
1131 |
+
"learning_rate": 2.3181052631578946e-05,
|
1132 |
+
"loss": 1.4243,
|
1133 |
+
"step": 156
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 0.13487972508591065,
|
1137 |
+
"grad_norm": 0.48769956827163696,
|
1138 |
+
"learning_rate": 2.265421052631579e-05,
|
1139 |
+
"loss": 1.4979,
|
1140 |
+
"step": 157
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 0.13573883161512026,
|
1144 |
+
"grad_norm": 0.3892180323600769,
|
1145 |
+
"learning_rate": 2.212736842105263e-05,
|
1146 |
+
"loss": 1.368,
|
1147 |
+
"step": 158
|
1148 |
+
},
|
1149 |
+
{
|
1150 |
+
"epoch": 0.13659793814432988,
|
1151 |
+
"grad_norm": 0.4427521228790283,
|
1152 |
+
"learning_rate": 2.1600526315789474e-05,
|
1153 |
+
"loss": 1.6416,
|
1154 |
+
"step": 159
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 0.13745704467353953,
|
1158 |
+
"grad_norm": 0.41149961948394775,
|
1159 |
+
"learning_rate": 2.1073684210526313e-05,
|
1160 |
+
"loss": 1.3097,
|
1161 |
+
"step": 160
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 0.13831615120274915,
|
1165 |
+
"grad_norm": 0.44827204942703247,
|
1166 |
+
"learning_rate": 2.0546842105263155e-05,
|
1167 |
+
"loss": 1.488,
|
1168 |
+
"step": 161
|
1169 |
+
},
|
1170 |
+
{
|
1171 |
+
"epoch": 0.13917525773195877,
|
1172 |
+
"grad_norm": 0.4299844801425934,
|
1173 |
+
"learning_rate": 2.002e-05,
|
1174 |
+
"loss": 1.4034,
|
1175 |
+
"step": 162
|
1176 |
+
},
|
1177 |
+
{
|
1178 |
+
"epoch": 0.1400343642611684,
|
1179 |
+
"grad_norm": 0.4039885997772217,
|
1180 |
+
"learning_rate": 1.949315789473684e-05,
|
1181 |
+
"loss": 1.3447,
|
1182 |
+
"step": 163
|
1183 |
+
},
|
1184 |
+
{
|
1185 |
+
"epoch": 0.140893470790378,
|
1186 |
+
"grad_norm": 0.43283891677856445,
|
1187 |
+
"learning_rate": 1.8966315789473683e-05,
|
1188 |
+
"loss": 1.3755,
|
1189 |
+
"step": 164
|
1190 |
+
},
|
1191 |
+
{
|
1192 |
+
"epoch": 0.14175257731958762,
|
1193 |
+
"grad_norm": 0.4442145526409149,
|
1194 |
+
"learning_rate": 1.8439473684210522e-05,
|
1195 |
+
"loss": 1.6471,
|
1196 |
+
"step": 165
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 0.14261168384879724,
|
1200 |
+
"grad_norm": 0.42544904351234436,
|
1201 |
+
"learning_rate": 1.791263157894737e-05,
|
1202 |
+
"loss": 1.5591,
|
1203 |
+
"step": 166
|
1204 |
+
},
|
1205 |
+
{
|
1206 |
+
"epoch": 0.14347079037800686,
|
1207 |
+
"grad_norm": 0.4591159522533417,
|
1208 |
+
"learning_rate": 1.738578947368421e-05,
|
1209 |
+
"loss": 1.4695,
|
1210 |
+
"step": 167
|
1211 |
+
},
|
1212 |
+
{
|
1213 |
+
"epoch": 0.14432989690721648,
|
1214 |
+
"grad_norm": 0.4475899636745453,
|
1215 |
+
"learning_rate": 1.685894736842105e-05,
|
1216 |
+
"loss": 1.7011,
|
1217 |
+
"step": 168
|
1218 |
+
},
|
1219 |
+
{
|
1220 |
+
"epoch": 0.14518900343642613,
|
1221 |
+
"grad_norm": 0.3987146019935608,
|
1222 |
+
"learning_rate": 1.6332105263157893e-05,
|
1223 |
+
"loss": 1.3711,
|
1224 |
+
"step": 169
|
1225 |
+
},
|
1226 |
+
{
|
1227 |
+
"epoch": 0.14604810996563575,
|
1228 |
+
"grad_norm": 0.4292147159576416,
|
1229 |
+
"learning_rate": 1.5805263157894735e-05,
|
1230 |
+
"loss": 1.5364,
|
1231 |
+
"step": 170
|
1232 |
+
},
|
1233 |
+
{
|
1234 |
+
"epoch": 0.14690721649484537,
|
1235 |
+
"grad_norm": 0.4621577262878418,
|
1236 |
+
"learning_rate": 1.5278421052631578e-05,
|
1237 |
+
"loss": 1.5781,
|
1238 |
+
"step": 171
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 0.14776632302405499,
|
1242 |
+
"grad_norm": 0.4481081962585449,
|
1243 |
+
"learning_rate": 1.4751578947368419e-05,
|
1244 |
+
"loss": 1.5406,
|
1245 |
+
"step": 172
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 0.1486254295532646,
|
1249 |
+
"grad_norm": 0.4390103220939636,
|
1250 |
+
"learning_rate": 1.4224736842105262e-05,
|
1251 |
+
"loss": 1.549,
|
1252 |
+
"step": 173
|
1253 |
+
},
|
1254 |
+
{
|
1255 |
+
"epoch": 0.14948453608247422,
|
1256 |
+
"grad_norm": 0.41087478399276733,
|
1257 |
+
"learning_rate": 1.3697894736842106e-05,
|
1258 |
+
"loss": 1.4282,
|
1259 |
+
"step": 174
|
1260 |
+
},
|
1261 |
+
{
|
1262 |
+
"epoch": 0.15034364261168384,
|
1263 |
+
"grad_norm": 0.4323715269565582,
|
1264 |
+
"learning_rate": 1.3171052631578945e-05,
|
1265 |
+
"loss": 1.421,
|
1266 |
+
"step": 175
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 0.15120274914089346,
|
1270 |
+
"grad_norm": 0.4265320897102356,
|
1271 |
+
"learning_rate": 1.264421052631579e-05,
|
1272 |
+
"loss": 1.4488,
|
1273 |
+
"step": 176
|
1274 |
+
},
|
1275 |
+
{
|
1276 |
+
"epoch": 0.15206185567010308,
|
1277 |
+
"grad_norm": 0.4511622190475464,
|
1278 |
+
"learning_rate": 1.211736842105263e-05,
|
1279 |
+
"loss": 1.5736,
|
1280 |
+
"step": 177
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 0.15292096219931273,
|
1284 |
+
"grad_norm": 0.417791485786438,
|
1285 |
+
"learning_rate": 1.1590526315789473e-05,
|
1286 |
+
"loss": 1.4141,
|
1287 |
+
"step": 178
|
1288 |
+
},
|
1289 |
+
{
|
1290 |
+
"epoch": 0.15378006872852235,
|
1291 |
+
"grad_norm": 0.4172487258911133,
|
1292 |
+
"learning_rate": 1.1063684210526316e-05,
|
1293 |
+
"loss": 1.3984,
|
1294 |
+
"step": 179
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 0.15463917525773196,
|
1298 |
+
"grad_norm": 0.42654547095298767,
|
1299 |
+
"learning_rate": 1.0536842105263156e-05,
|
1300 |
+
"loss": 1.4239,
|
1301 |
+
"step": 180
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 0.15549828178694158,
|
1305 |
+
"grad_norm": 0.4155035614967346,
|
1306 |
+
"learning_rate": 1.001e-05,
|
1307 |
+
"loss": 1.51,
|
1308 |
+
"step": 181
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 0.1563573883161512,
|
1312 |
+
"grad_norm": 0.39767947793006897,
|
1313 |
+
"learning_rate": 9.483157894736842e-06,
|
1314 |
+
"loss": 1.4256,
|
1315 |
+
"step": 182
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 0.15721649484536082,
|
1319 |
+
"grad_norm": 0.4175090789794922,
|
1320 |
+
"learning_rate": 8.956315789473684e-06,
|
1321 |
+
"loss": 1.3716,
|
1322 |
+
"step": 183
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 0.15807560137457044,
|
1326 |
+
"grad_norm": 0.44680315256118774,
|
1327 |
+
"learning_rate": 8.429473684210525e-06,
|
1328 |
+
"loss": 1.5732,
|
1329 |
+
"step": 184
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 0.15893470790378006,
|
1333 |
+
"grad_norm": 0.4153236150741577,
|
1334 |
+
"learning_rate": 7.902631578947368e-06,
|
1335 |
+
"loss": 1.5334,
|
1336 |
+
"step": 185
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 0.15979381443298968,
|
1340 |
+
"grad_norm": 0.4097844660282135,
|
1341 |
+
"learning_rate": 7.3757894736842095e-06,
|
1342 |
+
"loss": 1.4617,
|
1343 |
+
"step": 186
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 0.16065292096219932,
|
1347 |
+
"grad_norm": 0.44263848662376404,
|
1348 |
+
"learning_rate": 6.848947368421053e-06,
|
1349 |
+
"loss": 1.5138,
|
1350 |
+
"step": 187
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 0.16151202749140894,
|
1354 |
+
"grad_norm": 0.3853647708892822,
|
1355 |
+
"learning_rate": 6.322105263157895e-06,
|
1356 |
+
"loss": 1.3983,
|
1357 |
+
"step": 188
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 0.16237113402061856,
|
1361 |
+
"grad_norm": 0.4370990991592407,
|
1362 |
+
"learning_rate": 5.7952631578947365e-06,
|
1363 |
+
"loss": 1.4268,
|
1364 |
+
"step": 189
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 0.16323024054982818,
|
1368 |
+
"grad_norm": 0.437597393989563,
|
1369 |
+
"learning_rate": 5.268421052631578e-06,
|
1370 |
+
"loss": 1.3218,
|
1371 |
+
"step": 190
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 0.1640893470790378,
|
1375 |
+
"grad_norm": 0.49196720123291016,
|
1376 |
+
"learning_rate": 4.741578947368421e-06,
|
1377 |
+
"loss": 1.5127,
|
1378 |
+
"step": 191
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 0.16494845360824742,
|
1382 |
+
"grad_norm": 0.450184166431427,
|
1383 |
+
"learning_rate": 4.2147368421052626e-06,
|
1384 |
+
"loss": 1.3564,
|
1385 |
+
"step": 192
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 0.16580756013745704,
|
1389 |
+
"grad_norm": 0.5065258145332336,
|
1390 |
+
"learning_rate": 3.6878947368421047e-06,
|
1391 |
+
"loss": 1.6407,
|
1392 |
+
"step": 193
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 0.16666666666666666,
|
1396 |
+
"grad_norm": 0.5404831767082214,
|
1397 |
+
"learning_rate": 3.1610526315789474e-06,
|
1398 |
+
"loss": 1.6031,
|
1399 |
+
"step": 194
|
1400 |
+
},
|
1401 |
+
{
|
1402 |
+
"epoch": 0.16752577319587628,
|
1403 |
+
"grad_norm": 0.5111208558082581,
|
1404 |
+
"learning_rate": 2.634210526315789e-06,
|
1405 |
+
"loss": 1.4117,
|
1406 |
+
"step": 195
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 0.16838487972508592,
|
1410 |
+
"grad_norm": 0.628701388835907,
|
1411 |
+
"learning_rate": 2.1073684210526313e-06,
|
1412 |
+
"loss": 1.563,
|
1413 |
+
"step": 196
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 0.16924398625429554,
|
1417 |
+
"grad_norm": 0.591088056564331,
|
1418 |
+
"learning_rate": 1.5805263157894737e-06,
|
1419 |
+
"loss": 1.4572,
|
1420 |
+
"step": 197
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 0.17010309278350516,
|
1424 |
+
"grad_norm": 0.6137686371803284,
|
1425 |
+
"learning_rate": 1.0536842105263156e-06,
|
1426 |
+
"loss": 1.473,
|
1427 |
+
"step": 198
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 0.17096219931271478,
|
1431 |
+
"grad_norm": 0.787673830986023,
|
1432 |
+
"learning_rate": 5.268421052631578e-07,
|
1433 |
+
"loss": 1.5638,
|
1434 |
+
"step": 199
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 0.1718213058419244,
|
1438 |
+
"grad_norm": 0.8384268283843994,
|
1439 |
+
"learning_rate": 0.0,
|
1440 |
+
"loss": 1.466,
|
1441 |
+
"step": 200
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 0.1718213058419244,
|
1445 |
+
"eval_loss": 1.4909777641296387,
|
1446 |
+
"eval_runtime": 24.2168,
|
1447 |
+
"eval_samples_per_second": 20.234,
|
1448 |
+
"eval_steps_per_second": 5.079,
|
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": 5.9886658387968e+16,
|
1479 |
"train_batch_size": 8,
|
1480 |
"trial_name": null,
|
1481 |
"trial_params": null
|