sujalgawas commited on
Commit
b50564e
·
verified ·
1 Parent(s): eb3c153

Training in progress, step 1200, checkpoint

Browse files
last-checkpoint/adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:47ede7c685c4cf2a44431641bbe68a34d9f802e8687f0815dd32ac6b485ba701
3
  size 14764744
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:04344c1d1217c1158115c3b0929c1cf08a3369d5b27d880cb55a5627a0758da5
3
  size 14764744
last-checkpoint/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:84faa572c4eb5bc6dd91c7c16c399ec0f47a06a254293a79c4c40bc096e724b7
3
  size 29614667
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8a50a473d9696eda62ce8fc8006e74e0eacfd768f1e3ac189552cbbf09b3ebc6
3
  size 29614667
last-checkpoint/rng_state_0.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:787e2ea174d158f4e96070eeff49589d8fa83d2d3249c84689dcdfb8dc3f30e6
3
  size 14917
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b0dd483bc226b1bbb74ce1edb1ca54fa292eaa7d36ca7dd3fa4f5dc0358a386c
3
  size 14917
last-checkpoint/rng_state_1.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:64b69f01f980cdba0e54bde1be1ffecd2dd3368d7455083782e53272ee6c7659
3
  size 14917
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ab1e3f6b235da786bb29a07f4bd9aff1a3dcf320087ad886f22075df665f7bf
3
  size 14917
last-checkpoint/scaler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:14ae2a2128444abab378aa06c09a61a84665f758fcc19fc46f5789b0bc1b5665
3
  size 1383
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:18783150ac09b6b81cea5af47876a10bfe5f36c3d76aca4ffce5382bdfaf7b28
3
  size 1383
last-checkpoint/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:458efd6e56e53523ef1da1191c603dc16e272c67a29ec753d749f5877c5d56ac
3
  size 1465
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5e22ced5d47ecc95b81d09635f35a609202e47f5e060c6d8daac35d19ea2334
3
  size 1465
last-checkpoint/trainer_state.json CHANGED
@@ -2,9 +2,9 @@
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
- "epoch": 0.17224303492227533,
6
  "eval_steps": 100,
7
- "global_step": 1000,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
@@ -1118,6 +1118,228 @@
1118
  "eval_samples_per_second": 4.527,
1119
  "eval_steps_per_second": 1.132,
1120
  "step": 1000
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1121
  }
1122
  ],
1123
  "logging_steps": 10,
@@ -1137,7 +1359,7 @@
1137
  "attributes": {}
1138
  }
1139
  },
1140
- "total_flos": 1.645082202729349e+17,
1141
  "train_batch_size": 2,
1142
  "trial_name": null,
1143
  "trial_params": null
 
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
+ "epoch": 0.2066916419067304,
6
  "eval_steps": 100,
7
+ "global_step": 1200,
8
  "is_hyper_param_search": false,
9
  "is_local_process_zero": true,
10
  "is_world_process_zero": true,
 
1118
  "eval_samples_per_second": 4.527,
1119
  "eval_steps_per_second": 1.132,
1120
  "step": 1000
1121
+ },
1122
+ {
1123
+ "entropy": 0.8927131168544292,
1124
+ "epoch": 0.1739654652714981,
1125
+ "grad_norm": 0.30148547887802124,
1126
+ "learning_rate": 1.6524285222183948e-05,
1127
+ "loss": 0.8974312782287598,
1128
+ "mean_token_accuracy": 0.8002020284533501,
1129
+ "num_tokens": 13944590.0,
1130
+ "step": 1010
1131
+ },
1132
+ {
1133
+ "entropy": 0.8714240893721581,
1134
+ "epoch": 0.17568789562072085,
1135
+ "grad_norm": 0.32693004608154297,
1136
+ "learning_rate": 1.6489838098518775e-05,
1137
+ "loss": 0.8826124191284179,
1138
+ "mean_token_accuracy": 0.8055419594049453,
1139
+ "num_tokens": 14088537.0,
1140
+ "step": 1020
1141
+ },
1142
+ {
1143
+ "entropy": 0.8926309160888195,
1144
+ "epoch": 0.17741032596994358,
1145
+ "grad_norm": 0.32023537158966064,
1146
+ "learning_rate": 1.64553909748536e-05,
1147
+ "loss": 0.9113988876342773,
1148
+ "mean_token_accuracy": 0.7987354248762131,
1149
+ "num_tokens": 14224374.0,
1150
+ "step": 1030
1151
+ },
1152
+ {
1153
+ "entropy": 0.8674004882574081,
1154
+ "epoch": 0.17913275631916634,
1155
+ "grad_norm": 0.28465598821640015,
1156
+ "learning_rate": 1.6420943851188428e-05,
1157
+ "loss": 0.8814109802246094,
1158
+ "mean_token_accuracy": 0.8047246292233468,
1159
+ "num_tokens": 14360301.0,
1160
+ "step": 1040
1161
+ },
1162
+ {
1163
+ "entropy": 0.9156268492341042,
1164
+ "epoch": 0.1808551866683891,
1165
+ "grad_norm": 0.2746152877807617,
1166
+ "learning_rate": 1.6386496727523255e-05,
1167
+ "loss": 0.9329729080200195,
1168
+ "mean_token_accuracy": 0.7970086365938187,
1169
+ "num_tokens": 14497957.0,
1170
+ "step": 1050
1171
+ },
1172
+ {
1173
+ "entropy": 0.8696728102862835,
1174
+ "epoch": 0.18257761701761185,
1175
+ "grad_norm": 0.3130994737148285,
1176
+ "learning_rate": 1.635204960385808e-05,
1177
+ "loss": 0.8681984901428222,
1178
+ "mean_token_accuracy": 0.8039918035268784,
1179
+ "num_tokens": 14636779.0,
1180
+ "step": 1060
1181
+ },
1182
+ {
1183
+ "entropy": 0.9261205658316612,
1184
+ "epoch": 0.1843000473668346,
1185
+ "grad_norm": 0.3177715539932251,
1186
+ "learning_rate": 1.6317602480192905e-05,
1187
+ "loss": 0.9432561874389649,
1188
+ "mean_token_accuracy": 0.79266317486763,
1189
+ "num_tokens": 14775357.0,
1190
+ "step": 1070
1191
+ },
1192
+ {
1193
+ "entropy": 0.8939791619777679,
1194
+ "epoch": 0.18602247771605734,
1195
+ "grad_norm": 0.3282929062843323,
1196
+ "learning_rate": 1.628315535652773e-05,
1197
+ "loss": 0.9121170043945312,
1198
+ "mean_token_accuracy": 0.7999403312802315,
1199
+ "num_tokens": 14914329.0,
1200
+ "step": 1080
1201
+ },
1202
+ {
1203
+ "entropy": 0.9411349311470986,
1204
+ "epoch": 0.1877449080652801,
1205
+ "grad_norm": 0.33822765946388245,
1206
+ "learning_rate": 1.624870823286256e-05,
1207
+ "loss": 0.9574422836303711,
1208
+ "mean_token_accuracy": 0.7887647718191146,
1209
+ "num_tokens": 15050944.0,
1210
+ "step": 1090
1211
+ },
1212
+ {
1213
+ "entropy": 0.9062761172652245,
1214
+ "epoch": 0.18946733841450286,
1215
+ "grad_norm": 0.3344680070877075,
1216
+ "learning_rate": 1.6214261109197382e-05,
1217
+ "loss": 0.9132010459899902,
1218
+ "mean_token_accuracy": 0.7973324447870255,
1219
+ "num_tokens": 15191456.0,
1220
+ "step": 1100
1221
+ },
1222
+ {
1223
+ "epoch": 0.18946733841450286,
1224
+ "eval_entropy": 0.9062020365742001,
1225
+ "eval_loss": 0.9168528914451599,
1226
+ "eval_mean_token_accuracy": 0.7978820896388855,
1227
+ "eval_num_tokens": 15191456.0,
1228
+ "eval_runtime": 2284.6786,
1229
+ "eval_samples_per_second": 4.517,
1230
+ "eval_steps_per_second": 1.13,
1231
+ "step": 1100
1232
+ },
1233
+ {
1234
+ "entropy": 0.8828578740358353,
1235
+ "epoch": 0.19118976876372562,
1236
+ "grad_norm": 0.31287097930908203,
1237
+ "learning_rate": 1.617981398553221e-05,
1238
+ "loss": 0.8892689704895019,
1239
+ "mean_token_accuracy": 0.8019500032067299,
1240
+ "num_tokens": 15329187.0,
1241
+ "step": 1110
1242
+ },
1243
+ {
1244
+ "entropy": 0.8584744602441787,
1245
+ "epoch": 0.19291219911294838,
1246
+ "grad_norm": 0.33894848823547363,
1247
+ "learning_rate": 1.6145366861867035e-05,
1248
+ "loss": 0.8761276245117188,
1249
+ "mean_token_accuracy": 0.8069836989045143,
1250
+ "num_tokens": 15463428.0,
1251
+ "step": 1120
1252
+ },
1253
+ {
1254
+ "entropy": 0.8959764569997788,
1255
+ "epoch": 0.1946346294621711,
1256
+ "grad_norm": 0.335448294878006,
1257
+ "learning_rate": 1.6110919738201862e-05,
1258
+ "loss": 0.914846134185791,
1259
+ "mean_token_accuracy": 0.7979757830500602,
1260
+ "num_tokens": 15598833.0,
1261
+ "step": 1130
1262
+ },
1263
+ {
1264
+ "entropy": 0.8600837841629982,
1265
+ "epoch": 0.19635705981139387,
1266
+ "grad_norm": 0.36168724298477173,
1267
+ "learning_rate": 1.6076472614536685e-05,
1268
+ "loss": 0.874116325378418,
1269
+ "mean_token_accuracy": 0.8072359189391136,
1270
+ "num_tokens": 15735190.0,
1271
+ "step": 1140
1272
+ },
1273
+ {
1274
+ "entropy": 0.8260842703282834,
1275
+ "epoch": 0.19807949016061663,
1276
+ "grad_norm": 0.3406086266040802,
1277
+ "learning_rate": 1.6042025490871512e-05,
1278
+ "loss": 0.846173095703125,
1279
+ "mean_token_accuracy": 0.8120132207870483,
1280
+ "num_tokens": 15873365.0,
1281
+ "step": 1150
1282
+ },
1283
+ {
1284
+ "entropy": 0.8754205822944641,
1285
+ "epoch": 0.1998019205098394,
1286
+ "grad_norm": 0.3090217709541321,
1287
+ "learning_rate": 1.600757836720634e-05,
1288
+ "loss": 0.8730321884155273,
1289
+ "mean_token_accuracy": 0.8036265060305595,
1290
+ "num_tokens": 16012267.0,
1291
+ "step": 1160
1292
+ },
1293
+ {
1294
+ "entropy": 0.8644778996706008,
1295
+ "epoch": 0.20152435085906215,
1296
+ "grad_norm": 0.3449987769126892,
1297
+ "learning_rate": 1.5973131243541165e-05,
1298
+ "loss": 0.8761721611022949,
1299
+ "mean_token_accuracy": 0.8046121463179589,
1300
+ "num_tokens": 16153551.0,
1301
+ "step": 1170
1302
+ },
1303
+ {
1304
+ "entropy": 0.8786791607737541,
1305
+ "epoch": 0.20324678120828488,
1306
+ "grad_norm": 0.32610586285591125,
1307
+ "learning_rate": 1.5938684119875992e-05,
1308
+ "loss": 0.8917497634887696,
1309
+ "mean_token_accuracy": 0.8018891140818596,
1310
+ "num_tokens": 16290644.0,
1311
+ "step": 1180
1312
+ },
1313
+ {
1314
+ "entropy": 0.8934277132153511,
1315
+ "epoch": 0.20496921155750764,
1316
+ "grad_norm": 0.3260601758956909,
1317
+ "learning_rate": 1.590423699621082e-05,
1318
+ "loss": 0.9085002899169922,
1319
+ "mean_token_accuracy": 0.7983957454562187,
1320
+ "num_tokens": 16428870.0,
1321
+ "step": 1190
1322
+ },
1323
+ {
1324
+ "entropy": 0.8712983086705208,
1325
+ "epoch": 0.2066916419067304,
1326
+ "grad_norm": 0.3234138786792755,
1327
+ "learning_rate": 1.5869789872545646e-05,
1328
+ "loss": 0.8846115112304688,
1329
+ "mean_token_accuracy": 0.8027477219700814,
1330
+ "num_tokens": 16570837.0,
1331
+ "step": 1200
1332
+ },
1333
+ {
1334
+ "epoch": 0.2066916419067304,
1335
+ "eval_entropy": 0.9033433407002389,
1336
+ "eval_loss": 0.9155807495117188,
1337
+ "eval_mean_token_accuracy": 0.7982669015902505,
1338
+ "eval_num_tokens": 16570837.0,
1339
+ "eval_runtime": 2278.3123,
1340
+ "eval_samples_per_second": 4.53,
1341
+ "eval_steps_per_second": 1.133,
1342
+ "step": 1200
1343
  }
1344
  ],
1345
  "logging_steps": 10,
 
1359
  "attributes": {}
1360
  }
1361
  },
1362
+ "total_flos": 1.9741542298157056e+17,
1363
  "train_batch_size": 2,
1364
  "trial_name": null,
1365
  "trial_params": null