adammandic87 commited on
Commit
e2b33eb
·
verified ·
1 Parent(s): 44a6683

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:dbe0258f51cba9473425f5af36cbc1e58dfc7f320b17c7343e9d9db1d0d2636e
3
  size 25271744
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6bfe2098f3b50bce926c4cecd3f26cd6773e5ee4ffd2d3b05d33e33ff5eff73b
3
  size 25271744
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cf7cc924d2ad84a864c450c1a0fb17974279afe42a38df73fa8c5a110a6e8e94
3
  size 13685516
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e227ce70a6ab2206a06a67d7c12ebb5f97f79887f8f1fef297ac19191e10cf91
3
  size 13685516
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:6cd9f9263dbc26372a7918f84d2f4dd14b1a917732ead01427739fe885cff62d
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e04fa527497dbf08d5efbafc8a49772848a452a67202c3d456ab9b0e9af2d97
3
  size 14244
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:fd5d42bb0afda20ec4c83d38c6af1131541c335ecab229c74e7f418894f3c13b
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": 0.02478929102627665,
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": 61.234,
1090
  "eval_steps_per_second": 30.617,
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": false
1107
  },
1108
  "attributes": {}
1109
  }
1110
  },
1111
- "total_flos": 3945591264509952.0,
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": 0.03305238803503553,
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": 61.234,
1090
  "eval_steps_per_second": 30.617,
1091
  "step": 150
1092
+ },
1093
+ {
1094
+ "epoch": 0.024954552966451826,
1095
+ "grad_norm": 1.1631395816802979,
1096
+ "learning_rate": 3.106465908814342e-05,
1097
+ "loss": 1.8673,
1098
+ "step": 151
1099
+ },
1100
+ {
1101
+ "epoch": 0.025119814906627003,
1102
+ "grad_norm": 0.5590987205505371,
1103
+ "learning_rate": 2.9876321572751144e-05,
1104
+ "loss": 1.5469,
1105
+ "step": 152
1106
+ },
1107
+ {
1108
+ "epoch": 0.02528507684680218,
1109
+ "grad_norm": 0.49430692195892334,
1110
+ "learning_rate": 2.87071551708603e-05,
1111
+ "loss": 1.5041,
1112
+ "step": 153
1113
+ },
1114
+ {
1115
+ "epoch": 0.025450338786977358,
1116
+ "grad_norm": 0.539833128452301,
1117
+ "learning_rate": 2.7557479520891104e-05,
1118
+ "loss": 1.5439,
1119
+ "step": 154
1120
+ },
1121
+ {
1122
+ "epoch": 0.02561560072715254,
1123
+ "grad_norm": 0.5095410346984863,
1124
+ "learning_rate": 2.6427608932686843e-05,
1125
+ "loss": 1.6017,
1126
+ "step": 155
1127
+ },
1128
+ {
1129
+ "epoch": 0.025780862667327716,
1130
+ "grad_norm": 0.4884549379348755,
1131
+ "learning_rate": 2.5317852301584643e-05,
1132
+ "loss": 1.3461,
1133
+ "step": 156
1134
+ },
1135
+ {
1136
+ "epoch": 0.025946124607502893,
1137
+ "grad_norm": 0.4909934997558594,
1138
+ "learning_rate": 2.422851302396655e-05,
1139
+ "loss": 1.4771,
1140
+ "step": 157
1141
+ },
1142
+ {
1143
+ "epoch": 0.02611138654767807,
1144
+ "grad_norm": 0.6615016460418701,
1145
+ "learning_rate": 2.315988891431412e-05,
1146
+ "loss": 1.6216,
1147
+ "step": 158
1148
+ },
1149
+ {
1150
+ "epoch": 0.026276648487853247,
1151
+ "grad_norm": 0.5424089431762695,
1152
+ "learning_rate": 2.2112272123788768e-05,
1153
+ "loss": 1.4016,
1154
+ "step": 159
1155
+ },
1156
+ {
1157
+ "epoch": 0.026441910428028424,
1158
+ "grad_norm": 0.4783364236354828,
1159
+ "learning_rate": 2.1085949060360654e-05,
1160
+ "loss": 1.2278,
1161
+ "step": 160
1162
+ },
1163
+ {
1164
+ "epoch": 0.0266071723682036,
1165
+ "grad_norm": 0.4361153841018677,
1166
+ "learning_rate": 2.008120031050753e-05,
1167
+ "loss": 1.5001,
1168
+ "step": 161
1169
+ },
1170
+ {
1171
+ "epoch": 0.026772434308378782,
1172
+ "grad_norm": 0.4618135392665863,
1173
+ "learning_rate": 1.9098300562505266e-05,
1174
+ "loss": 1.5697,
1175
+ "step": 162
1176
+ },
1177
+ {
1178
+ "epoch": 0.02693769624855396,
1179
+ "grad_norm": 0.5692691206932068,
1180
+ "learning_rate": 1.8137518531330767e-05,
1181
+ "loss": 1.7622,
1182
+ "step": 163
1183
+ },
1184
+ {
1185
+ "epoch": 0.027102958188729136,
1186
+ "grad_norm": 0.7295346856117249,
1187
+ "learning_rate": 1.7199116885197995e-05,
1188
+ "loss": 1.8002,
1189
+ "step": 164
1190
+ },
1191
+ {
1192
+ "epoch": 0.027268220128904314,
1193
+ "grad_norm": 0.6334387063980103,
1194
+ "learning_rate": 1.6283352173747145e-05,
1195
+ "loss": 1.3173,
1196
+ "step": 165
1197
+ },
1198
+ {
1199
+ "epoch": 0.02743348206907949,
1200
+ "grad_norm": 0.5129164457321167,
1201
+ "learning_rate": 1.5390474757906446e-05,
1202
+ "loss": 1.1693,
1203
+ "step": 166
1204
+ },
1205
+ {
1206
+ "epoch": 0.027598744009254668,
1207
+ "grad_norm": 0.56026291847229,
1208
+ "learning_rate": 1.4520728741446089e-05,
1209
+ "loss": 1.4209,
1210
+ "step": 167
1211
+ },
1212
+ {
1213
+ "epoch": 0.027764005949429845,
1214
+ "grad_norm": 0.692166805267334,
1215
+ "learning_rate": 1.3674351904242611e-05,
1216
+ "loss": 1.315,
1217
+ "step": 168
1218
+ },
1219
+ {
1220
+ "epoch": 0.027929267889605022,
1221
+ "grad_norm": 0.595594048500061,
1222
+ "learning_rate": 1.2851575637272262e-05,
1223
+ "loss": 1.4176,
1224
+ "step": 169
1225
+ },
1226
+ {
1227
+ "epoch": 0.028094529829780203,
1228
+ "grad_norm": 0.36242327094078064,
1229
+ "learning_rate": 1.2052624879351104e-05,
1230
+ "loss": 1.6176,
1231
+ "step": 170
1232
+ },
1233
+ {
1234
+ "epoch": 0.02825979176995538,
1235
+ "grad_norm": 0.4128834307193756,
1236
+ "learning_rate": 1.1277718055638819e-05,
1237
+ "loss": 1.4342,
1238
+ "step": 171
1239
+ },
1240
+ {
1241
+ "epoch": 0.028425053710130557,
1242
+ "grad_norm": 0.533230185508728,
1243
+ "learning_rate": 1.0527067017923654e-05,
1244
+ "loss": 1.6252,
1245
+ "step": 172
1246
+ },
1247
+ {
1248
+ "epoch": 0.028590315650305734,
1249
+ "grad_norm": 0.5379830598831177,
1250
+ "learning_rate": 9.80087698670411e-06,
1251
+ "loss": 1.3614,
1252
+ "step": 173
1253
+ },
1254
+ {
1255
+ "epoch": 0.02875557759048091,
1256
+ "grad_norm": 0.5856308341026306,
1257
+ "learning_rate": 9.09934649508375e-06,
1258
+ "loss": 1.4459,
1259
+ "step": 174
1260
+ },
1261
+ {
1262
+ "epoch": 0.02892083953065609,
1263
+ "grad_norm": 0.5911732316017151,
1264
+ "learning_rate": 8.422667334494249e-06,
1265
+ "loss": 1.4906,
1266
+ "step": 175
1267
+ },
1268
+ {
1269
+ "epoch": 0.029086101470831266,
1270
+ "grad_norm": 0.8282976150512695,
1271
+ "learning_rate": 7.771024502261526e-06,
1272
+ "loss": 1.81,
1273
+ "step": 176
1274
+ },
1275
+ {
1276
+ "epoch": 0.029251363411006447,
1277
+ "grad_norm": 0.5876789689064026,
1278
+ "learning_rate": 7.144596151029303e-06,
1279
+ "loss": 1.4096,
1280
+ "step": 177
1281
+ },
1282
+ {
1283
+ "epoch": 0.029416625351181624,
1284
+ "grad_norm": 0.5349177122116089,
1285
+ "learning_rate": 6.543553540053926e-06,
1286
+ "loss": 1.4491,
1287
+ "step": 178
1288
+ },
1289
+ {
1290
+ "epoch": 0.0295818872913568,
1291
+ "grad_norm": 0.6630465388298035,
1292
+ "learning_rate": 5.968060988383883e-06,
1293
+ "loss": 1.3134,
1294
+ "step": 179
1295
+ },
1296
+ {
1297
+ "epoch": 0.029747149231531978,
1298
+ "grad_norm": 0.6198413968086243,
1299
+ "learning_rate": 5.418275829936537e-06,
1300
+ "loss": 1.746,
1301
+ "step": 180
1302
+ },
1303
+ {
1304
+ "epoch": 0.029912411171707155,
1305
+ "grad_norm": 0.4724350571632385,
1306
+ "learning_rate": 4.8943483704846475e-06,
1307
+ "loss": 1.4524,
1308
+ "step": 181
1309
+ },
1310
+ {
1311
+ "epoch": 0.030077673111882332,
1312
+ "grad_norm": 0.5511718988418579,
1313
+ "learning_rate": 4.3964218465642355e-06,
1314
+ "loss": 1.395,
1315
+ "step": 182
1316
+ },
1317
+ {
1318
+ "epoch": 0.03024293505205751,
1319
+ "grad_norm": 0.6854819059371948,
1320
+ "learning_rate": 3.924632386315186e-06,
1321
+ "loss": 1.6976,
1322
+ "step": 183
1323
+ },
1324
+ {
1325
+ "epoch": 0.03040819699223269,
1326
+ "grad_norm": 0.5091037750244141,
1327
+ "learning_rate": 3.4791089722651436e-06,
1328
+ "loss": 1.2758,
1329
+ "step": 184
1330
+ },
1331
+ {
1332
+ "epoch": 0.030573458932407867,
1333
+ "grad_norm": 0.5180460810661316,
1334
+ "learning_rate": 3.059973406066963e-06,
1335
+ "loss": 1.4986,
1336
+ "step": 185
1337
+ },
1338
+ {
1339
+ "epoch": 0.030738720872583045,
1340
+ "grad_norm": 0.8126318454742432,
1341
+ "learning_rate": 2.667340275199426e-06,
1342
+ "loss": 1.7087,
1343
+ "step": 186
1344
+ },
1345
+ {
1346
+ "epoch": 0.030903982812758222,
1347
+ "grad_norm": 0.567361056804657,
1348
+ "learning_rate": 2.3013169216400733e-06,
1349
+ "loss": 1.5864,
1350
+ "step": 187
1351
+ },
1352
+ {
1353
+ "epoch": 0.0310692447529334,
1354
+ "grad_norm": 0.6181171536445618,
1355
+ "learning_rate": 1.9620034125190644e-06,
1356
+ "loss": 1.6582,
1357
+ "step": 188
1358
+ },
1359
+ {
1360
+ "epoch": 0.031234506693108576,
1361
+ "grad_norm": 0.4644870460033417,
1362
+ "learning_rate": 1.6494925127617634e-06,
1363
+ "loss": 1.3485,
1364
+ "step": 189
1365
+ },
1366
+ {
1367
+ "epoch": 0.03139976863328375,
1368
+ "grad_norm": 0.6458631753921509,
1369
+ "learning_rate": 1.3638696597277679e-06,
1370
+ "loss": 1.6619,
1371
+ "step": 190
1372
+ },
1373
+ {
1374
+ "epoch": 0.031565030573458934,
1375
+ "grad_norm": 0.6136733293533325,
1376
+ "learning_rate": 1.1052129398531507e-06,
1377
+ "loss": 1.453,
1378
+ "step": 191
1379
+ },
1380
+ {
1381
+ "epoch": 0.03173029251363411,
1382
+ "grad_norm": 0.5048571825027466,
1383
+ "learning_rate": 8.735930673024806e-07,
1384
+ "loss": 1.7202,
1385
+ "step": 192
1386
+ },
1387
+ {
1388
+ "epoch": 0.03189555445380929,
1389
+ "grad_norm": 0.4640374481678009,
1390
+ "learning_rate": 6.690733646361857e-07,
1391
+ "loss": 1.4326,
1392
+ "step": 193
1393
+ },
1394
+ {
1395
+ "epoch": 0.03206081639398446,
1396
+ "grad_norm": 0.8511689901351929,
1397
+ "learning_rate": 4.917097454988584e-07,
1398
+ "loss": 1.701,
1399
+ "step": 194
1400
+ },
1401
+ {
1402
+ "epoch": 0.03222607833415964,
1403
+ "grad_norm": 0.6593170166015625,
1404
+ "learning_rate": 3.415506993330153e-07,
1405
+ "loss": 1.2468,
1406
+ "step": 195
1407
+ },
1408
+ {
1409
+ "epoch": 0.03239134027433482,
1410
+ "grad_norm": 0.5053160190582275,
1411
+ "learning_rate": 2.1863727812254653e-07,
1412
+ "loss": 1.7233,
1413
+ "step": 196
1414
+ },
1415
+ {
1416
+ "epoch": 0.03255660221451,
1417
+ "grad_norm": 0.5864344239234924,
1418
+ "learning_rate": 1.230030851695263e-07,
1419
+ "loss": 1.5125,
1420
+ "step": 197
1421
+ },
1422
+ {
1423
+ "epoch": 0.03272186415468518,
1424
+ "grad_norm": 0.5440968871116638,
1425
+ "learning_rate": 5.467426590739511e-08,
1426
+ "loss": 1.5666,
1427
+ "step": 198
1428
+ },
1429
+ {
1430
+ "epoch": 0.03288712609486035,
1431
+ "grad_norm": 0.47717025876045227,
1432
+ "learning_rate": 1.3669500753099585e-08,
1433
+ "loss": 1.458,
1434
+ "step": 199
1435
+ },
1436
+ {
1437
+ "epoch": 0.03305238803503553,
1438
+ "grad_norm": 0.5752529501914978,
1439
+ "learning_rate": 0.0,
1440
+ "loss": 1.4294,
1441
+ "step": 200
1442
+ },
1443
+ {
1444
+ "epoch": 0.03305238803503553,
1445
+ "eval_loss": 1.540518879890442,
1446
+ "eval_runtime": 42.0573,
1447
+ "eval_samples_per_second": 60.584,
1448
+ "eval_steps_per_second": 30.292,
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": 5243735554129920.0,
1470
  "train_batch_size": 2,
1471
  "trial_name": null,
1472
  "trial_params": null