aleegis12 commited on
Commit
88d6480
·
verified ·
1 Parent(s): e5d35bb

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 sha256:226c48cd81f3713dc0144a73a92b04254d284a67b522bfa8306615b9ae013638
3
  size 295488936
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ca3939609e886ccc676927578869eccb00681887f3eb295167929dafc55fde0
3
  size 295488936
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:8478f2a0c8c6e50b53a3679b37b2e9ee4869b83bb7dfd4cfa7ef6bb347deb6e1
3
  size 150486964
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0d7907f5f8cea14149cb5d986cf33528e46de25bfe7cbba8a14b3845aa708325
3
  size 150486964
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:e08e17fb486106d3f04812fa2061f613d68c7b6a7258c7efd26347a20562208b
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d92e1275346d063785d900e39ce895cb12be7de4470edb081c3cfa0d50ce460b
3
  size 14244
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d8ce05761f46e7cf72fb17a02e3a0ca15c9d25ce3babf590eeb40568923b8bac
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d2d754412c61116546142914503e7369d0cc35d3c380a07e5218f595d76b6d96
3
  size 1064
last-checkpoint/trainer_state.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
  "best_metric": 0.8301867842674255,
3
  "best_model_checkpoint": "miner_id_24/checkpoint-150",
4
- "epoch": 0.09417673834562863,
5
  "eval_steps": 50,
6
- "global_step": 150,
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": 31.716,
1090
  "eval_steps_per_second": 7.932,
1091
  "step": 150
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1092
  }
1093
  ],
1094
  "logging_steps": 1,
@@ -1103,7 +1461,7 @@
1103
  "early_stopping_threshold": 0.0
1104
  },
1105
  "attributes": {
1106
- "early_stopping_patience_counter": 0
1107
  }
1108
  },
1109
  "TrainerControl": {
@@ -1112,12 +1470,12 @@
1112
  "should_evaluate": false,
1113
  "should_log": false,
1114
  "should_save": true,
1115
- "should_training_stop": false
1116
  },
1117
  "attributes": {}
1118
  }
1119
  },
1120
- "total_flos": 4.306690363097088e+16,
1121
  "train_batch_size": 8,
1122
  "trial_name": null,
1123
  "trial_params": null
 
1
  {
2
  "best_metric": 0.8301867842674255,
3
  "best_model_checkpoint": "miner_id_24/checkpoint-150",
4
+ "epoch": 0.12556898446083817,
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": 31.716,
1090
  "eval_steps_per_second": 7.932,
1091
  "step": 150
1092
+ },
1093
+ {
1094
+ "epoch": 0.09480458326793283,
1095
+ "grad_norm": 0.2317795604467392,
1096
+ "learning_rate": 1.553232954407171e-05,
1097
+ "loss": 0.55,
1098
+ "step": 151
1099
+ },
1100
+ {
1101
+ "epoch": 0.095432428190237,
1102
+ "grad_norm": 0.23509512841701508,
1103
+ "learning_rate": 1.4938160786375572e-05,
1104
+ "loss": 0.5249,
1105
+ "step": 152
1106
+ },
1107
+ {
1108
+ "epoch": 0.0960602731125412,
1109
+ "grad_norm": 0.2779792249202728,
1110
+ "learning_rate": 1.435357758543015e-05,
1111
+ "loss": 0.5407,
1112
+ "step": 153
1113
+ },
1114
+ {
1115
+ "epoch": 0.0966881180348454,
1116
+ "grad_norm": 0.2548755705356598,
1117
+ "learning_rate": 1.3778739760445552e-05,
1118
+ "loss": 0.702,
1119
+ "step": 154
1120
+ },
1121
+ {
1122
+ "epoch": 0.09731596295714959,
1123
+ "grad_norm": 0.28282254934310913,
1124
+ "learning_rate": 1.3213804466343421e-05,
1125
+ "loss": 0.7475,
1126
+ "step": 155
1127
+ },
1128
+ {
1129
+ "epoch": 0.09794380787945378,
1130
+ "grad_norm": 0.2646379768848419,
1131
+ "learning_rate": 1.2658926150792322e-05,
1132
+ "loss": 0.7023,
1133
+ "step": 156
1134
+ },
1135
+ {
1136
+ "epoch": 0.09857165280175796,
1137
+ "grad_norm": 0.2654716372489929,
1138
+ "learning_rate": 1.2114256511983274e-05,
1139
+ "loss": 0.6547,
1140
+ "step": 157
1141
+ },
1142
+ {
1143
+ "epoch": 0.09919949772406216,
1144
+ "grad_norm": 0.26182040572166443,
1145
+ "learning_rate": 1.157994445715706e-05,
1146
+ "loss": 0.6721,
1147
+ "step": 158
1148
+ },
1149
+ {
1150
+ "epoch": 0.09982734264636635,
1151
+ "grad_norm": 0.32432517409324646,
1152
+ "learning_rate": 1.1056136061894384e-05,
1153
+ "loss": 0.8435,
1154
+ "step": 159
1155
+ },
1156
+ {
1157
+ "epoch": 0.10045518756867054,
1158
+ "grad_norm": 0.31359827518463135,
1159
+ "learning_rate": 1.0542974530180327e-05,
1160
+ "loss": 0.7421,
1161
+ "step": 160
1162
+ },
1163
+ {
1164
+ "epoch": 0.10108303249097472,
1165
+ "grad_norm": 0.29712405800819397,
1166
+ "learning_rate": 1.0040600155253765e-05,
1167
+ "loss": 0.6999,
1168
+ "step": 161
1169
+ },
1170
+ {
1171
+ "epoch": 0.10171087741327892,
1172
+ "grad_norm": 0.32419276237487793,
1173
+ "learning_rate": 9.549150281252633e-06,
1174
+ "loss": 0.7901,
1175
+ "step": 162
1176
+ },
1177
+ {
1178
+ "epoch": 0.10233872233558311,
1179
+ "grad_norm": 0.29091787338256836,
1180
+ "learning_rate": 9.068759265665384e-06,
1181
+ "loss": 0.7202,
1182
+ "step": 163
1183
+ },
1184
+ {
1185
+ "epoch": 0.1029665672578873,
1186
+ "grad_norm": 0.3498837351799011,
1187
+ "learning_rate": 8.599558442598998e-06,
1188
+ "loss": 0.888,
1189
+ "step": 164
1190
+ },
1191
+ {
1192
+ "epoch": 0.1035944121801915,
1193
+ "grad_norm": 0.33074867725372314,
1194
+ "learning_rate": 8.141676086873572e-06,
1195
+ "loss": 0.7871,
1196
+ "step": 165
1197
+ },
1198
+ {
1199
+ "epoch": 0.10422225710249568,
1200
+ "grad_norm": 0.36717310547828674,
1201
+ "learning_rate": 7.695237378953223e-06,
1202
+ "loss": 0.9063,
1203
+ "step": 166
1204
+ },
1205
+ {
1206
+ "epoch": 0.10485010202479987,
1207
+ "grad_norm": 0.3641189932823181,
1208
+ "learning_rate": 7.260364370723044e-06,
1209
+ "loss": 0.7957,
1210
+ "step": 167
1211
+ },
1212
+ {
1213
+ "epoch": 0.10547794694710406,
1214
+ "grad_norm": 0.35571953654289246,
1215
+ "learning_rate": 6.837175952121306e-06,
1216
+ "loss": 0.8116,
1217
+ "step": 168
1218
+ },
1219
+ {
1220
+ "epoch": 0.10610579186940826,
1221
+ "grad_norm": 0.3522847890853882,
1222
+ "learning_rate": 6.425787818636131e-06,
1223
+ "loss": 0.8232,
1224
+ "step": 169
1225
+ },
1226
+ {
1227
+ "epoch": 0.10673363679171245,
1228
+ "grad_norm": 0.36481091380119324,
1229
+ "learning_rate": 6.026312439675552e-06,
1230
+ "loss": 0.8195,
1231
+ "step": 170
1232
+ },
1233
+ {
1234
+ "epoch": 0.10736148171401663,
1235
+ "grad_norm": 0.34471359848976135,
1236
+ "learning_rate": 5.6388590278194096e-06,
1237
+ "loss": 0.7798,
1238
+ "step": 171
1239
+ },
1240
+ {
1241
+ "epoch": 0.10798932663632083,
1242
+ "grad_norm": 0.343343585729599,
1243
+ "learning_rate": 5.263533508961827e-06,
1244
+ "loss": 0.7824,
1245
+ "step": 172
1246
+ },
1247
+ {
1248
+ "epoch": 0.10861717155862502,
1249
+ "grad_norm": 0.3544749617576599,
1250
+ "learning_rate": 4.900438493352055e-06,
1251
+ "loss": 0.8236,
1252
+ "step": 173
1253
+ },
1254
+ {
1255
+ "epoch": 0.10924501648092921,
1256
+ "grad_norm": 0.38760459423065186,
1257
+ "learning_rate": 4.549673247541875e-06,
1258
+ "loss": 0.7756,
1259
+ "step": 174
1260
+ },
1261
+ {
1262
+ "epoch": 0.10987286140323341,
1263
+ "grad_norm": 0.3799603581428528,
1264
+ "learning_rate": 4.2113336672471245e-06,
1265
+ "loss": 0.8512,
1266
+ "step": 175
1267
+ },
1268
+ {
1269
+ "epoch": 0.11050070632553759,
1270
+ "grad_norm": 0.39610785245895386,
1271
+ "learning_rate": 3.885512251130763e-06,
1272
+ "loss": 0.6284,
1273
+ "step": 176
1274
+ },
1275
+ {
1276
+ "epoch": 0.11112855124784178,
1277
+ "grad_norm": 0.4424748420715332,
1278
+ "learning_rate": 3.5722980755146517e-06,
1279
+ "loss": 0.7852,
1280
+ "step": 177
1281
+ },
1282
+ {
1283
+ "epoch": 0.11175639617014597,
1284
+ "grad_norm": 0.4629611372947693,
1285
+ "learning_rate": 3.271776770026963e-06,
1286
+ "loss": 0.8857,
1287
+ "step": 178
1288
+ },
1289
+ {
1290
+ "epoch": 0.11238424109245017,
1291
+ "grad_norm": 0.4276205897331238,
1292
+ "learning_rate": 2.9840304941919415e-06,
1293
+ "loss": 0.8421,
1294
+ "step": 179
1295
+ },
1296
+ {
1297
+ "epoch": 0.11301208601475436,
1298
+ "grad_norm": 0.516444742679596,
1299
+ "learning_rate": 2.7091379149682685e-06,
1300
+ "loss": 0.7521,
1301
+ "step": 180
1302
+ },
1303
+ {
1304
+ "epoch": 0.11363993093705854,
1305
+ "grad_norm": 0.43327686190605164,
1306
+ "learning_rate": 2.4471741852423237e-06,
1307
+ "loss": 0.6802,
1308
+ "step": 181
1309
+ },
1310
+ {
1311
+ "epoch": 0.11426777585936274,
1312
+ "grad_norm": 0.48601460456848145,
1313
+ "learning_rate": 2.1982109232821178e-06,
1314
+ "loss": 0.7673,
1315
+ "step": 182
1316
+ },
1317
+ {
1318
+ "epoch": 0.11489562078166693,
1319
+ "grad_norm": 0.5008496642112732,
1320
+ "learning_rate": 1.962316193157593e-06,
1321
+ "loss": 0.7807,
1322
+ "step": 183
1323
+ },
1324
+ {
1325
+ "epoch": 0.11552346570397112,
1326
+ "grad_norm": 0.6235164403915405,
1327
+ "learning_rate": 1.7395544861325718e-06,
1328
+ "loss": 0.8758,
1329
+ "step": 184
1330
+ },
1331
+ {
1332
+ "epoch": 0.1161513106262753,
1333
+ "grad_norm": 0.581714928150177,
1334
+ "learning_rate": 1.5299867030334814e-06,
1335
+ "loss": 0.7932,
1336
+ "step": 185
1337
+ },
1338
+ {
1339
+ "epoch": 0.1167791555485795,
1340
+ "grad_norm": 0.5634011626243591,
1341
+ "learning_rate": 1.333670137599713e-06,
1342
+ "loss": 0.9109,
1343
+ "step": 186
1344
+ },
1345
+ {
1346
+ "epoch": 0.11740700047088369,
1347
+ "grad_norm": 0.627421498298645,
1348
+ "learning_rate": 1.1506584608200367e-06,
1349
+ "loss": 0.8334,
1350
+ "step": 187
1351
+ },
1352
+ {
1353
+ "epoch": 0.11803484539318788,
1354
+ "grad_norm": 0.882683515548706,
1355
+ "learning_rate": 9.810017062595322e-07,
1356
+ "loss": 0.8584,
1357
+ "step": 188
1358
+ },
1359
+ {
1360
+ "epoch": 0.11866269031549208,
1361
+ "grad_norm": 0.7387759685516357,
1362
+ "learning_rate": 8.247462563808817e-07,
1363
+ "loss": 0.8658,
1364
+ "step": 189
1365
+ },
1366
+ {
1367
+ "epoch": 0.11929053523779626,
1368
+ "grad_norm": 0.7666494846343994,
1369
+ "learning_rate": 6.819348298638839e-07,
1370
+ "loss": 1.0099,
1371
+ "step": 190
1372
+ },
1373
+ {
1374
+ "epoch": 0.11991838016010045,
1375
+ "grad_norm": 0.7859662771224976,
1376
+ "learning_rate": 5.526064699265753e-07,
1377
+ "loss": 0.9175,
1378
+ "step": 191
1379
+ },
1380
+ {
1381
+ "epoch": 0.12054622508240465,
1382
+ "grad_norm": 0.8232308030128479,
1383
+ "learning_rate": 4.367965336512403e-07,
1384
+ "loss": 0.9784,
1385
+ "step": 192
1386
+ },
1387
+ {
1388
+ "epoch": 0.12117407000470884,
1389
+ "grad_norm": 0.7969563603401184,
1390
+ "learning_rate": 3.3453668231809286e-07,
1391
+ "loss": 0.8614,
1392
+ "step": 193
1393
+ },
1394
+ {
1395
+ "epoch": 0.12180191492701303,
1396
+ "grad_norm": 0.9747658967971802,
1397
+ "learning_rate": 2.458548727494292e-07,
1398
+ "loss": 0.9497,
1399
+ "step": 194
1400
+ },
1401
+ {
1402
+ "epoch": 0.12242975984931721,
1403
+ "grad_norm": 0.8652091026306152,
1404
+ "learning_rate": 1.7077534966650766e-07,
1405
+ "loss": 0.941,
1406
+ "step": 195
1407
+ },
1408
+ {
1409
+ "epoch": 0.1230576047716214,
1410
+ "grad_norm": 1.0952799320220947,
1411
+ "learning_rate": 1.0931863906127327e-07,
1412
+ "loss": 1.3195,
1413
+ "step": 196
1414
+ },
1415
+ {
1416
+ "epoch": 0.1236854496939256,
1417
+ "grad_norm": 1.0180470943450928,
1418
+ "learning_rate": 6.150154258476315e-08,
1419
+ "loss": 1.047,
1420
+ "step": 197
1421
+ },
1422
+ {
1423
+ "epoch": 0.1243132946162298,
1424
+ "grad_norm": 1.1498470306396484,
1425
+ "learning_rate": 2.7337132953697554e-08,
1426
+ "loss": 1.1476,
1427
+ "step": 198
1428
+ },
1429
+ {
1430
+ "epoch": 0.12494113953853399,
1431
+ "grad_norm": 1.3460142612457275,
1432
+ "learning_rate": 6.834750376549792e-09,
1433
+ "loss": 0.9823,
1434
+ "step": 199
1435
+ },
1436
+ {
1437
+ "epoch": 0.12556898446083817,
1438
+ "grad_norm": 1.7192878723144531,
1439
+ "learning_rate": 0.0,
1440
+ "loss": 0.9939,
1441
+ "step": 200
1442
+ },
1443
+ {
1444
+ "epoch": 0.12556898446083817,
1445
+ "eval_loss": 0.8316019177436829,
1446
+ "eval_runtime": 84.2744,
1447
+ "eval_samples_per_second": 31.836,
1448
+ "eval_steps_per_second": 7.962,
1449
+ "step": 200
1450
  }
1451
  ],
1452
  "logging_steps": 1,
 
1461
  "early_stopping_threshold": 0.0
1462
  },
1463
  "attributes": {
1464
+ "early_stopping_patience_counter": 1
1465
  }
1466
  },
1467
  "TrainerControl": {
 
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": 5.742253817462784e+16,
1479
  "train_batch_size": 8,
1480
  "trial_name": null,
1481
  "trial_params": null