dabrown commited on
Commit
a99bc22
·
verified ·
1 Parent(s): c4a0f44

Training in progress, step 198, checkpoint

Browse files
last-checkpoint/adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:142409133f4ef71836708c2f670095faf0570a7ab4daeb8038d7f7f963054bec
3
  size 47724600
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6fd2957ad72dbe80039410eb3dd3a2b343a763ab7f13b17db987f5c307a58315
3
  size 47724600
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:28203c3131643953ac482a75cd59347cdd325d4f28396bccc7207dfe69f830d1
3
  size 25331516
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:be882b144435014759f56adacbff9c11068bb899e000714c3c0ffe736b79f026
3
  size 25331516
last-checkpoint/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ec77f997d555f33bab0c493fee05043cf60797177f7fe76d260efdf8c9393bda
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0157921b798a43101d6f6da7d127e9044252ba6ca86855a0d8a7ff62d6854164
3
  size 14244
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:ae4f1bd750c09fc9bb727cae976f56e1bbe0dff5c4d4e1a6eec209a810ae59b2
3
  size 1064
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:588b963689e2bc6a644ef6e066b36a07667462b36247fb966e7188944b9c91f2
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": 0.7575757575757576,
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 +1089,342 @@
1089
  "eval_samples_per_second": 23.186,
1090
  "eval_steps_per_second": 11.593,
1091
  "step": 150
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1092
  }
1093
  ],
1094
  "logging_steps": 1,
@@ -1103,12 +1439,12 @@
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": 2.13169452613632e+16,
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": 1.0,
5
  "eval_steps": 50,
6
+ "global_step": 198,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
 
1089
  "eval_samples_per_second": 23.186,
1090
  "eval_steps_per_second": 11.593,
1091
  "step": 150
1092
+ },
1093
+ {
1094
+ "epoch": 0.7626262626262627,
1095
+ "grad_norm": 9.661118507385254,
1096
+ "learning_rate": 2.9289321881345254e-05,
1097
+ "loss": 0.2918,
1098
+ "step": 151
1099
+ },
1100
+ {
1101
+ "epoch": 0.7676767676767676,
1102
+ "grad_norm": 10.700360298156738,
1103
+ "learning_rate": 2.8117631612207084e-05,
1104
+ "loss": 0.3913,
1105
+ "step": 152
1106
+ },
1107
+ {
1108
+ "epoch": 0.7727272727272727,
1109
+ "grad_norm": 9.030896186828613,
1110
+ "learning_rate": 2.6966013605133088e-05,
1111
+ "loss": 0.3069,
1112
+ "step": 153
1113
+ },
1114
+ {
1115
+ "epoch": 0.7777777777777778,
1116
+ "grad_norm": 14.797833442687988,
1117
+ "learning_rate": 2.5834789435204243e-05,
1118
+ "loss": 0.3008,
1119
+ "step": 154
1120
+ },
1121
+ {
1122
+ "epoch": 0.7828282828282829,
1123
+ "grad_norm": 14.041370391845703,
1124
+ "learning_rate": 2.4724274982774865e-05,
1125
+ "loss": 0.3847,
1126
+ "step": 155
1127
+ },
1128
+ {
1129
+ "epoch": 0.7878787878787878,
1130
+ "grad_norm": 13.21018123626709,
1131
+ "learning_rate": 2.3634780345266806e-05,
1132
+ "loss": 0.3623,
1133
+ "step": 156
1134
+ },
1135
+ {
1136
+ "epoch": 0.7929292929292929,
1137
+ "grad_norm": 12.600321769714355,
1138
+ "learning_rate": 2.2566609750578673e-05,
1139
+ "loss": 0.4142,
1140
+ "step": 157
1141
+ },
1142
+ {
1143
+ "epoch": 0.797979797979798,
1144
+ "grad_norm": 9.882135391235352,
1145
+ "learning_rate": 2.1520061472133902e-05,
1146
+ "loss": 0.2679,
1147
+ "step": 158
1148
+ },
1149
+ {
1150
+ "epoch": 0.803030303030303,
1151
+ "grad_norm": 11.879226684570312,
1152
+ "learning_rate": 2.04954277455917e-05,
1153
+ "loss": 0.3472,
1154
+ "step": 159
1155
+ },
1156
+ {
1157
+ "epoch": 0.8080808080808081,
1158
+ "grad_norm": 12.724488258361816,
1159
+ "learning_rate": 1.9492994687243714e-05,
1160
+ "loss": 0.361,
1161
+ "step": 160
1162
+ },
1163
+ {
1164
+ "epoch": 0.8131313131313131,
1165
+ "grad_norm": 12.550914764404297,
1166
+ "learning_rate": 1.851304221411967e-05,
1167
+ "loss": 0.4241,
1168
+ "step": 161
1169
+ },
1170
+ {
1171
+ "epoch": 0.8181818181818182,
1172
+ "grad_norm": 16.152448654174805,
1173
+ "learning_rate": 1.7555843965823992e-05,
1174
+ "loss": 0.4147,
1175
+ "step": 162
1176
+ },
1177
+ {
1178
+ "epoch": 0.8232323232323232,
1179
+ "grad_norm": 11.693159103393555,
1180
+ "learning_rate": 1.6621667228125302e-05,
1181
+ "loss": 0.4261,
1182
+ "step": 163
1183
+ },
1184
+ {
1185
+ "epoch": 0.8282828282828283,
1186
+ "grad_norm": 11.59165096282959,
1187
+ "learning_rate": 1.57107728583203e-05,
1188
+ "loss": 0.3764,
1189
+ "step": 164
1190
+ },
1191
+ {
1192
+ "epoch": 0.8333333333333334,
1193
+ "grad_norm": 21.655597686767578,
1194
+ "learning_rate": 1.4823415212392377e-05,
1195
+ "loss": 0.305,
1196
+ "step": 165
1197
+ },
1198
+ {
1199
+ "epoch": 0.8383838383838383,
1200
+ "grad_norm": 9.225619316101074,
1201
+ "learning_rate": 1.3959842073986085e-05,
1202
+ "loss": 0.2656,
1203
+ "step": 166
1204
+ },
1205
+ {
1206
+ "epoch": 0.8434343434343434,
1207
+ "grad_norm": 10.11462116241455,
1208
+ "learning_rate": 1.3120294585216353e-05,
1209
+ "loss": 0.3298,
1210
+ "step": 167
1211
+ },
1212
+ {
1213
+ "epoch": 0.8484848484848485,
1214
+ "grad_norm": 12.122771263122559,
1215
+ "learning_rate": 1.230500717933285e-05,
1216
+ "loss": 0.3734,
1217
+ "step": 168
1218
+ },
1219
+ {
1220
+ "epoch": 0.8535353535353535,
1221
+ "grad_norm": 13.203550338745117,
1222
+ "learning_rate": 1.1514207515257147e-05,
1223
+ "loss": 0.2908,
1224
+ "step": 169
1225
+ },
1226
+ {
1227
+ "epoch": 0.8585858585858586,
1228
+ "grad_norm": 10.409919738769531,
1229
+ "learning_rate": 1.0748116414011888e-05,
1230
+ "loss": 0.2437,
1231
+ "step": 170
1232
+ },
1233
+ {
1234
+ "epoch": 0.8636363636363636,
1235
+ "grad_norm": 12.256322860717773,
1236
+ "learning_rate": 1.0006947797059219e-05,
1237
+ "loss": 0.3154,
1238
+ "step": 171
1239
+ },
1240
+ {
1241
+ "epoch": 0.8686868686868687,
1242
+ "grad_norm": 12.224120140075684,
1243
+ "learning_rate": 9.29090862656593e-06,
1244
+ "loss": 0.3863,
1245
+ "step": 172
1246
+ },
1247
+ {
1248
+ "epoch": 0.8737373737373737,
1249
+ "grad_norm": 16.545303344726562,
1250
+ "learning_rate": 8.600198847611729e-06,
1251
+ "loss": 0.2737,
1252
+ "step": 173
1253
+ },
1254
+ {
1255
+ "epoch": 0.8787878787878788,
1256
+ "grad_norm": 17.211322784423828,
1257
+ "learning_rate": 7.935011332357112e-06,
1258
+ "loss": 0.38,
1259
+ "step": 174
1260
+ },
1261
+ {
1262
+ "epoch": 0.8838383838383839,
1263
+ "grad_norm": 12.975410461425781,
1264
+ "learning_rate": 7.295531826186264e-06,
1265
+ "loss": 0.3809,
1266
+ "step": 175
1267
+ },
1268
+ {
1269
+ "epoch": 0.8888888888888888,
1270
+ "grad_norm": 17.656003952026367,
1271
+ "learning_rate": 6.681938895839746e-06,
1272
+ "loss": 0.3591,
1273
+ "step": 176
1274
+ },
1275
+ {
1276
+ "epoch": 0.8939393939393939,
1277
+ "grad_norm": 10.347539901733398,
1278
+ "learning_rate": 6.094403879552213e-06,
1279
+ "loss": 0.2775,
1280
+ "step": 177
1281
+ },
1282
+ {
1283
+ "epoch": 0.898989898989899,
1284
+ "grad_norm": 11.597780227661133,
1285
+ "learning_rate": 5.533090839208133e-06,
1286
+ "loss": 0.3635,
1287
+ "step": 178
1288
+ },
1289
+ {
1290
+ "epoch": 0.9040404040404041,
1291
+ "grad_norm": 14.497785568237305,
1292
+ "learning_rate": 4.998156514529595e-06,
1293
+ "loss": 0.436,
1294
+ "step": 179
1295
+ },
1296
+ {
1297
+ "epoch": 0.9090909090909091,
1298
+ "grad_norm": 12.996254920959473,
1299
+ "learning_rate": 4.489750279308757e-06,
1300
+ "loss": 0.3239,
1301
+ "step": 180
1302
+ },
1303
+ {
1304
+ "epoch": 0.9141414141414141,
1305
+ "grad_norm": 35.80766296386719,
1306
+ "learning_rate": 4.008014099696922e-06,
1307
+ "loss": 0.5281,
1308
+ "step": 181
1309
+ },
1310
+ {
1311
+ "epoch": 0.9191919191919192,
1312
+ "grad_norm": 50.79511260986328,
1313
+ "learning_rate": 3.5530824945623542e-06,
1314
+ "loss": 0.4338,
1315
+ "step": 182
1316
+ },
1317
+ {
1318
+ "epoch": 0.9242424242424242,
1319
+ "grad_norm": 31.98566246032715,
1320
+ "learning_rate": 3.1250824979274675e-06,
1321
+ "loss": 0.4195,
1322
+ "step": 183
1323
+ },
1324
+ {
1325
+ "epoch": 0.9292929292929293,
1326
+ "grad_norm": 14.075968742370605,
1327
+ "learning_rate": 2.7241336234962944e-06,
1328
+ "loss": 0.4469,
1329
+ "step": 184
1330
+ },
1331
+ {
1332
+ "epoch": 0.9343434343434344,
1333
+ "grad_norm": 15.213479042053223,
1334
+ "learning_rate": 2.3503478312815298e-06,
1335
+ "loss": 0.3303,
1336
+ "step": 185
1337
+ },
1338
+ {
1339
+ "epoch": 0.9393939393939394,
1340
+ "grad_norm": 14.08496379852295,
1341
+ "learning_rate": 2.003829496341325e-06,
1342
+ "loss": 0.352,
1343
+ "step": 186
1344
+ },
1345
+ {
1346
+ "epoch": 0.9444444444444444,
1347
+ "grad_norm": 17.063922882080078,
1348
+ "learning_rate": 1.684675379633649e-06,
1349
+ "loss": 0.4462,
1350
+ "step": 187
1351
+ },
1352
+ {
1353
+ "epoch": 0.9494949494949495,
1354
+ "grad_norm": 9.787590980529785,
1355
+ "learning_rate": 1.3929746009971433e-06,
1356
+ "loss": 0.2868,
1357
+ "step": 188
1358
+ },
1359
+ {
1360
+ "epoch": 0.9545454545454546,
1361
+ "grad_norm": 23.884563446044922,
1362
+ "learning_rate": 1.1288086142653864e-06,
1363
+ "loss": 0.4657,
1364
+ "step": 189
1365
+ },
1366
+ {
1367
+ "epoch": 0.9595959595959596,
1368
+ "grad_norm": 13.69776725769043,
1369
+ "learning_rate": 8.922511845219971e-07,
1370
+ "loss": 0.2993,
1371
+ "step": 190
1372
+ },
1373
+ {
1374
+ "epoch": 0.9646464646464646,
1375
+ "grad_norm": 12.410402297973633,
1376
+ "learning_rate": 6.833683675025904e-07,
1377
+ "loss": 0.402,
1378
+ "step": 191
1379
+ },
1380
+ {
1381
+ "epoch": 0.9696969696969697,
1382
+ "grad_norm": 10.721906661987305,
1383
+ "learning_rate": 5.022184911495864e-07,
1384
+ "loss": 0.2896,
1385
+ "step": 192
1386
+ },
1387
+ {
1388
+ "epoch": 0.9747474747474747,
1389
+ "grad_norm": 12.637495994567871,
1390
+ "learning_rate": 3.488521393248401e-07,
1391
+ "loss": 0.3491,
1392
+ "step": 193
1393
+ },
1394
+ {
1395
+ "epoch": 0.9797979797979798,
1396
+ "grad_norm": 12.802627563476562,
1397
+ "learning_rate": 2.2331213768468363e-07,
1398
+ "loss": 0.4633,
1399
+ "step": 194
1400
+ },
1401
+ {
1402
+ "epoch": 0.9848484848484849,
1403
+ "grad_norm": 19.49329948425293,
1404
+ "learning_rate": 1.2563354172142606e-07,
1405
+ "loss": 0.4523,
1406
+ "step": 195
1407
+ },
1408
+ {
1409
+ "epoch": 0.98989898989899,
1410
+ "grad_norm": 16.25078773498535,
1411
+ "learning_rate": 5.584362697453882e-08,
1412
+ "loss": 0.5107,
1413
+ "step": 196
1414
+ },
1415
+ {
1416
+ "epoch": 0.9949494949494949,
1417
+ "grad_norm": 11.172027587890625,
1418
+ "learning_rate": 1.3961881414292778e-08,
1419
+ "loss": 0.3854,
1420
+ "step": 197
1421
+ },
1422
+ {
1423
+ "epoch": 1.0,
1424
+ "grad_norm": 29.771207809448242,
1425
+ "learning_rate": 0.0,
1426
+ "loss": 0.7279,
1427
+ "step": 198
1428
  }
1429
  ],
1430
  "logging_steps": 1,
 
1439
  "should_evaluate": false,
1440
  "should_log": false,
1441
  "should_save": true,
1442
+ "should_training_stop": true
1443
  },
1444
  "attributes": {}
1445
  }
1446
  },
1447
+ "total_flos": 2.812060362394829e+16,
1448
  "train_batch_size": 2,
1449
  "trial_name": null,
1450
  "trial_params": null