prxy5607 commited on
Commit
e3ec370
·
verified ·
1 Parent(s): 3fbad52

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 sha256:27e80962a32b65cdf490f1123a19b2a0e519ebe0317987d9596653551089795f
3
  size 34456
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:22f7a68be872681f3cf7fd2d4987fc22dbb157bb1cd24d56d33a5220c5d49c41
3
  size 34456
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:2747c1b1617ce7fb09d3496fa5273c58d168b03720429e8bac0fe48da77343dd
3
  size 73222
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ef71723ec8b5ab0a2e223ff107de12285d68f6974411adb0efb0f7b5b84be8f8
3
  size 73222
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:f11e323629e18414ec346af72baca7807ab7a3d0efec665a7c68c592061f99dc
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ff43a68fa68cfd5846fa92e937ec920fdd566be1ec55371d0f766003a53bf02
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": 11.5,
3
  "best_model_checkpoint": "miner_id_24/checkpoint-50",
4
- "epoch": 0.684931506849315,
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": 214.002,
1090
  "eval_steps_per_second": 53.935,
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": 2
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": 24118847078400.0,
1121
  "train_batch_size": 8,
1122
  "trial_name": null,
1123
  "trial_params": null
 
1
  {
2
  "best_metric": 11.5,
3
  "best_model_checkpoint": "miner_id_24/checkpoint-50",
4
+ "epoch": 0.91324200913242,
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": 214.002,
1090
  "eval_steps_per_second": 53.935,
1091
  "step": 150
1092
+ },
1093
+ {
1094
+ "epoch": 0.6894977168949772,
1095
+ "grad_norm": 0.0016246555605903268,
1096
+ "learning_rate": 1.553232954407171e-05,
1097
+ "loss": 46.0,
1098
+ "step": 151
1099
+ },
1100
+ {
1101
+ "epoch": 0.6940639269406392,
1102
+ "grad_norm": 0.0024152176920324564,
1103
+ "learning_rate": 1.4938160786375572e-05,
1104
+ "loss": 46.0,
1105
+ "step": 152
1106
+ },
1107
+ {
1108
+ "epoch": 0.6986301369863014,
1109
+ "grad_norm": 0.0022366135381162167,
1110
+ "learning_rate": 1.435357758543015e-05,
1111
+ "loss": 46.0,
1112
+ "step": 153
1113
+ },
1114
+ {
1115
+ "epoch": 0.7031963470319634,
1116
+ "grad_norm": 0.001883237506262958,
1117
+ "learning_rate": 1.3778739760445552e-05,
1118
+ "loss": 46.0,
1119
+ "step": 154
1120
+ },
1121
+ {
1122
+ "epoch": 0.7077625570776256,
1123
+ "grad_norm": 0.0017021014355123043,
1124
+ "learning_rate": 1.3213804466343421e-05,
1125
+ "loss": 46.0,
1126
+ "step": 155
1127
+ },
1128
+ {
1129
+ "epoch": 0.7123287671232876,
1130
+ "grad_norm": 0.002006731927394867,
1131
+ "learning_rate": 1.2658926150792322e-05,
1132
+ "loss": 46.0,
1133
+ "step": 156
1134
+ },
1135
+ {
1136
+ "epoch": 0.7168949771689498,
1137
+ "grad_norm": 0.002143180463463068,
1138
+ "learning_rate": 1.2114256511983274e-05,
1139
+ "loss": 46.0,
1140
+ "step": 157
1141
+ },
1142
+ {
1143
+ "epoch": 0.7214611872146118,
1144
+ "grad_norm": 0.002227270510047674,
1145
+ "learning_rate": 1.157994445715706e-05,
1146
+ "loss": 46.0,
1147
+ "step": 158
1148
+ },
1149
+ {
1150
+ "epoch": 0.726027397260274,
1151
+ "grad_norm": 0.002338178688660264,
1152
+ "learning_rate": 1.1056136061894384e-05,
1153
+ "loss": 46.0,
1154
+ "step": 159
1155
+ },
1156
+ {
1157
+ "epoch": 0.730593607305936,
1158
+ "grad_norm": 0.0018493178067728877,
1159
+ "learning_rate": 1.0542974530180327e-05,
1160
+ "loss": 46.0,
1161
+ "step": 160
1162
+ },
1163
+ {
1164
+ "epoch": 0.7351598173515982,
1165
+ "grad_norm": 0.0017571522621437907,
1166
+ "learning_rate": 1.0040600155253765e-05,
1167
+ "loss": 46.0,
1168
+ "step": 161
1169
+ },
1170
+ {
1171
+ "epoch": 0.7397260273972602,
1172
+ "grad_norm": 0.0012979201273992658,
1173
+ "learning_rate": 9.549150281252633e-06,
1174
+ "loss": 46.0,
1175
+ "step": 162
1176
+ },
1177
+ {
1178
+ "epoch": 0.7442922374429224,
1179
+ "grad_norm": 0.0019268484320491552,
1180
+ "learning_rate": 9.068759265665384e-06,
1181
+ "loss": 46.0,
1182
+ "step": 163
1183
+ },
1184
+ {
1185
+ "epoch": 0.7488584474885844,
1186
+ "grad_norm": 0.0016492760041728616,
1187
+ "learning_rate": 8.599558442598998e-06,
1188
+ "loss": 46.0,
1189
+ "step": 164
1190
+ },
1191
+ {
1192
+ "epoch": 0.7534246575342466,
1193
+ "grad_norm": 0.001206071232445538,
1194
+ "learning_rate": 8.141676086873572e-06,
1195
+ "loss": 46.0,
1196
+ "step": 165
1197
+ },
1198
+ {
1199
+ "epoch": 0.7579908675799086,
1200
+ "grad_norm": 0.0030437924433499575,
1201
+ "learning_rate": 7.695237378953223e-06,
1202
+ "loss": 46.0,
1203
+ "step": 166
1204
+ },
1205
+ {
1206
+ "epoch": 0.7625570776255708,
1207
+ "grad_norm": 0.0017631108639761806,
1208
+ "learning_rate": 7.260364370723044e-06,
1209
+ "loss": 46.0,
1210
+ "step": 167
1211
+ },
1212
+ {
1213
+ "epoch": 0.7671232876712328,
1214
+ "grad_norm": 0.0020195937249809504,
1215
+ "learning_rate": 6.837175952121306e-06,
1216
+ "loss": 46.0,
1217
+ "step": 168
1218
+ },
1219
+ {
1220
+ "epoch": 0.771689497716895,
1221
+ "grad_norm": 0.0029804224614053965,
1222
+ "learning_rate": 6.425787818636131e-06,
1223
+ "loss": 46.0,
1224
+ "step": 169
1225
+ },
1226
+ {
1227
+ "epoch": 0.776255707762557,
1228
+ "grad_norm": 0.0028333389200270176,
1229
+ "learning_rate": 6.026312439675552e-06,
1230
+ "loss": 46.0,
1231
+ "step": 170
1232
+ },
1233
+ {
1234
+ "epoch": 0.7808219178082192,
1235
+ "grad_norm": 0.0019646144937723875,
1236
+ "learning_rate": 5.6388590278194096e-06,
1237
+ "loss": 46.0,
1238
+ "step": 171
1239
+ },
1240
+ {
1241
+ "epoch": 0.7853881278538812,
1242
+ "grad_norm": 0.001494067837484181,
1243
+ "learning_rate": 5.263533508961827e-06,
1244
+ "loss": 46.0,
1245
+ "step": 172
1246
+ },
1247
+ {
1248
+ "epoch": 0.7899543378995434,
1249
+ "grad_norm": 0.001787397894077003,
1250
+ "learning_rate": 4.900438493352055e-06,
1251
+ "loss": 46.0,
1252
+ "step": 173
1253
+ },
1254
+ {
1255
+ "epoch": 0.7945205479452054,
1256
+ "grad_norm": 0.0018085706979036331,
1257
+ "learning_rate": 4.549673247541875e-06,
1258
+ "loss": 46.0,
1259
+ "step": 174
1260
+ },
1261
+ {
1262
+ "epoch": 0.7990867579908676,
1263
+ "grad_norm": 0.0016939383931457996,
1264
+ "learning_rate": 4.2113336672471245e-06,
1265
+ "loss": 46.0,
1266
+ "step": 175
1267
+ },
1268
+ {
1269
+ "epoch": 0.8036529680365296,
1270
+ "grad_norm": 0.0023503373377025127,
1271
+ "learning_rate": 3.885512251130763e-06,
1272
+ "loss": 46.0,
1273
+ "step": 176
1274
+ },
1275
+ {
1276
+ "epoch": 0.8082191780821918,
1277
+ "grad_norm": 0.0023100164253264666,
1278
+ "learning_rate": 3.5722980755146517e-06,
1279
+ "loss": 46.0,
1280
+ "step": 177
1281
+ },
1282
+ {
1283
+ "epoch": 0.8127853881278538,
1284
+ "grad_norm": 0.0022537049371749163,
1285
+ "learning_rate": 3.271776770026963e-06,
1286
+ "loss": 46.0,
1287
+ "step": 178
1288
+ },
1289
+ {
1290
+ "epoch": 0.817351598173516,
1291
+ "grad_norm": 0.001496356911957264,
1292
+ "learning_rate": 2.9840304941919415e-06,
1293
+ "loss": 46.0,
1294
+ "step": 179
1295
+ },
1296
+ {
1297
+ "epoch": 0.821917808219178,
1298
+ "grad_norm": 0.0018099151784554124,
1299
+ "learning_rate": 2.7091379149682685e-06,
1300
+ "loss": 46.0,
1301
+ "step": 180
1302
+ },
1303
+ {
1304
+ "epoch": 0.8264840182648402,
1305
+ "grad_norm": 0.0019824227783828974,
1306
+ "learning_rate": 2.4471741852423237e-06,
1307
+ "loss": 46.0,
1308
+ "step": 181
1309
+ },
1310
+ {
1311
+ "epoch": 0.8310502283105022,
1312
+ "grad_norm": 0.0019860207103192806,
1313
+ "learning_rate": 2.1982109232821178e-06,
1314
+ "loss": 46.0,
1315
+ "step": 182
1316
+ },
1317
+ {
1318
+ "epoch": 0.8356164383561644,
1319
+ "grad_norm": 0.002394198440015316,
1320
+ "learning_rate": 1.962316193157593e-06,
1321
+ "loss": 46.0,
1322
+ "step": 183
1323
+ },
1324
+ {
1325
+ "epoch": 0.8401826484018264,
1326
+ "grad_norm": 0.0029320509638637304,
1327
+ "learning_rate": 1.7395544861325718e-06,
1328
+ "loss": 46.0,
1329
+ "step": 184
1330
+ },
1331
+ {
1332
+ "epoch": 0.8447488584474886,
1333
+ "grad_norm": 0.0021977091673761606,
1334
+ "learning_rate": 1.5299867030334814e-06,
1335
+ "loss": 46.0,
1336
+ "step": 185
1337
+ },
1338
+ {
1339
+ "epoch": 0.8493150684931506,
1340
+ "grad_norm": 0.0016943442169576883,
1341
+ "learning_rate": 1.333670137599713e-06,
1342
+ "loss": 46.0,
1343
+ "step": 186
1344
+ },
1345
+ {
1346
+ "epoch": 0.8538812785388128,
1347
+ "grad_norm": 0.0016096079489216208,
1348
+ "learning_rate": 1.1506584608200367e-06,
1349
+ "loss": 46.0,
1350
+ "step": 187
1351
+ },
1352
+ {
1353
+ "epoch": 0.8584474885844748,
1354
+ "grad_norm": 0.0022538485936820507,
1355
+ "learning_rate": 9.810017062595322e-07,
1356
+ "loss": 46.0,
1357
+ "step": 188
1358
+ },
1359
+ {
1360
+ "epoch": 0.863013698630137,
1361
+ "grad_norm": 0.0024424379225820303,
1362
+ "learning_rate": 8.247462563808817e-07,
1363
+ "loss": 46.0,
1364
+ "step": 189
1365
+ },
1366
+ {
1367
+ "epoch": 0.867579908675799,
1368
+ "grad_norm": 0.0024484707973897457,
1369
+ "learning_rate": 6.819348298638839e-07,
1370
+ "loss": 46.0,
1371
+ "step": 190
1372
+ },
1373
+ {
1374
+ "epoch": 0.8721461187214612,
1375
+ "grad_norm": 0.002073577605187893,
1376
+ "learning_rate": 5.526064699265753e-07,
1377
+ "loss": 46.0,
1378
+ "step": 191
1379
+ },
1380
+ {
1381
+ "epoch": 0.8767123287671232,
1382
+ "grad_norm": 0.0019777289126068354,
1383
+ "learning_rate": 4.367965336512403e-07,
1384
+ "loss": 46.0,
1385
+ "step": 192
1386
+ },
1387
+ {
1388
+ "epoch": 0.8812785388127854,
1389
+ "grad_norm": 0.0020637470297515392,
1390
+ "learning_rate": 3.3453668231809286e-07,
1391
+ "loss": 46.0,
1392
+ "step": 193
1393
+ },
1394
+ {
1395
+ "epoch": 0.8858447488584474,
1396
+ "grad_norm": 0.0022960191126912832,
1397
+ "learning_rate": 2.458548727494292e-07,
1398
+ "loss": 46.0,
1399
+ "step": 194
1400
+ },
1401
+ {
1402
+ "epoch": 0.8904109589041096,
1403
+ "grad_norm": 0.0016642585396766663,
1404
+ "learning_rate": 1.7077534966650766e-07,
1405
+ "loss": 46.0,
1406
+ "step": 195
1407
+ },
1408
+ {
1409
+ "epoch": 0.8949771689497716,
1410
+ "grad_norm": 0.0018069585785269737,
1411
+ "learning_rate": 1.0931863906127327e-07,
1412
+ "loss": 46.0,
1413
+ "step": 196
1414
+ },
1415
+ {
1416
+ "epoch": 0.8995433789954338,
1417
+ "grad_norm": 0.0015459221322089434,
1418
+ "learning_rate": 6.150154258476315e-08,
1419
+ "loss": 46.0,
1420
+ "step": 197
1421
+ },
1422
+ {
1423
+ "epoch": 0.9041095890410958,
1424
+ "grad_norm": 0.0014378676423802972,
1425
+ "learning_rate": 2.7337132953697554e-08,
1426
+ "loss": 46.0,
1427
+ "step": 198
1428
+ },
1429
+ {
1430
+ "epoch": 0.908675799086758,
1431
+ "grad_norm": 0.002209464553743601,
1432
+ "learning_rate": 6.834750376549792e-09,
1433
+ "loss": 46.0,
1434
+ "step": 199
1435
+ },
1436
+ {
1437
+ "epoch": 0.91324200913242,
1438
+ "grad_norm": 0.00240969262085855,
1439
+ "learning_rate": 0.0,
1440
+ "loss": 46.0,
1441
+ "step": 200
1442
+ },
1443
+ {
1444
+ "epoch": 0.91324200913242,
1445
+ "eval_loss": 11.5,
1446
+ "eval_runtime": 1.7254,
1447
+ "eval_samples_per_second": 213.862,
1448
+ "eval_steps_per_second": 53.9,
1449
+ "step": 200
1450
  }
1451
  ],
1452
  "logging_steps": 1,
 
1461
  "early_stopping_threshold": 0.0
1462
  },
1463
  "attributes": {
1464
+ "early_stopping_patience_counter": 3
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": 32158462771200.0,
1479
  "train_batch_size": 8,
1480
  "trial_name": null,
1481
  "trial_params": null