Training in progress, step 228, 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:
|
3 |
size 200068512
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:13a2250d36748bb7d399966be9e1ac96a9989a297e888397e3e7ebcf51fac95e
|
3 |
size 200068512
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 400361770
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:465489ed56c14e7c881e482d47c72f5a1c0e9572aadcab5d66cba1ebb7f9ff9f
|
3 |
size 400361770
|
last-checkpoint/rng_state_0.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14512
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b113f3c97acb6b80373cbd3c63d2c9966ff4fe4f9787a4fba50fe48a6ceff302
|
3 |
size 14512
|
last-checkpoint/rng_state_1.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14512
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7798188a3b0517541e640967d23618db3978bee71a27396e53ea24d979b35816
|
3 |
size 14512
|
last-checkpoint/scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b8b5a959d9459f2fc9422d29e6b89c56e276e4fcd74ca81bc84eb9dc629ceec0
|
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.
|
5 |
"eval_steps": 76,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -1095,6 +1095,546 @@
|
|
1095 |
"eval_samples_per_second": 3.689,
|
1096 |
"eval_steps_per_second": 0.922,
|
1097 |
"step": 152
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1098 |
}
|
1099 |
],
|
1100 |
"logging_steps": 1,
|
@@ -1114,7 +1654,7 @@
|
|
1114 |
"attributes": {}
|
1115 |
}
|
1116 |
},
|
1117 |
-
"total_flos":
|
1118 |
"train_batch_size": 2,
|
1119 |
"trial_name": null,
|
1120 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.14887365328109697,
|
5 |
"eval_steps": 76,
|
6 |
+
"global_step": 228,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
1095 |
"eval_samples_per_second": 3.689,
|
1096 |
"eval_steps_per_second": 0.922,
|
1097 |
"step": 152
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 0.09990205680705191,
|
1101 |
+
"grad_norm": 2.6223411560058594,
|
1102 |
+
"learning_rate": 0.00012876842744353112,
|
1103 |
+
"loss": 1.4696,
|
1104 |
+
"step": 153
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 0.10055501142670584,
|
1108 |
+
"grad_norm": 3.07543683052063,
|
1109 |
+
"learning_rate": 0.00012757699791343186,
|
1110 |
+
"loss": 1.4233,
|
1111 |
+
"step": 154
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 0.10120796604635977,
|
1115 |
+
"grad_norm": 3.1689348220825195,
|
1116 |
+
"learning_rate": 0.0001263813163162364,
|
1117 |
+
"loss": 1.6883,
|
1118 |
+
"step": 155
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 0.10186092066601371,
|
1122 |
+
"grad_norm": 3.1390719413757324,
|
1123 |
+
"learning_rate": 0.00012518156701278019,
|
1124 |
+
"loss": 1.9252,
|
1125 |
+
"step": 156
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 0.10251387528566765,
|
1129 |
+
"grad_norm": 2.6922318935394287,
|
1130 |
+
"learning_rate": 0.00012397793499109404,
|
1131 |
+
"loss": 1.4566,
|
1132 |
+
"step": 157
|
1133 |
+
},
|
1134 |
+
{
|
1135 |
+
"epoch": 0.10316682990532158,
|
1136 |
+
"grad_norm": 2.970062255859375,
|
1137 |
+
"learning_rate": 0.00012277060583788064,
|
1138 |
+
"loss": 1.4658,
|
1139 |
+
"step": 158
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 0.10381978452497552,
|
1143 |
+
"grad_norm": 3.3430395126342773,
|
1144 |
+
"learning_rate": 0.00012155976570989949,
|
1145 |
+
"loss": 1.1341,
|
1146 |
+
"step": 159
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 0.10447273914462944,
|
1150 |
+
"grad_norm": 3.108964204788208,
|
1151 |
+
"learning_rate": 0.0001203456013052634,
|
1152 |
+
"loss": 1.4,
|
1153 |
+
"step": 160
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 0.10512569376428338,
|
1157 |
+
"grad_norm": 2.5076346397399902,
|
1158 |
+
"learning_rate": 0.00011912829983465168,
|
1159 |
+
"loss": 1.2977,
|
1160 |
+
"step": 161
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 0.10577864838393732,
|
1164 |
+
"grad_norm": 2.782015085220337,
|
1165 |
+
"learning_rate": 0.00011790804899244452,
|
1166 |
+
"loss": 1.5569,
|
1167 |
+
"step": 162
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 0.10643160300359125,
|
1171 |
+
"grad_norm": 2.4178273677825928,
|
1172 |
+
"learning_rate": 0.00011668503692778239,
|
1173 |
+
"loss": 1.588,
|
1174 |
+
"step": 163
|
1175 |
+
},
|
1176 |
+
{
|
1177 |
+
"epoch": 0.10708455762324519,
|
1178 |
+
"grad_norm": 2.7303292751312256,
|
1179 |
+
"learning_rate": 0.0001154594522155557,
|
1180 |
+
"loss": 1.9145,
|
1181 |
+
"step": 164
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 0.10773751224289912,
|
1185 |
+
"grad_norm": 2.631848096847534,
|
1186 |
+
"learning_rate": 0.00011423148382732853,
|
1187 |
+
"loss": 1.9198,
|
1188 |
+
"step": 165
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 0.10839046686255305,
|
1192 |
+
"grad_norm": 2.4288294315338135,
|
1193 |
+
"learning_rate": 0.00011300132110220134,
|
1194 |
+
"loss": 1.9154,
|
1195 |
+
"step": 166
|
1196 |
+
},
|
1197 |
+
{
|
1198 |
+
"epoch": 0.10904342148220698,
|
1199 |
+
"grad_norm": 2.742737293243408,
|
1200 |
+
"learning_rate": 0.00011176915371761702,
|
1201 |
+
"loss": 1.8217,
|
1202 |
+
"step": 167
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 0.10969637610186092,
|
1206 |
+
"grad_norm": 2.437319278717041,
|
1207 |
+
"learning_rate": 0.00011053517166011471,
|
1208 |
+
"loss": 1.7938,
|
1209 |
+
"step": 168
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.11034933072151486,
|
1213 |
+
"grad_norm": 2.4741907119750977,
|
1214 |
+
"learning_rate": 0.00010929956519603594,
|
1215 |
+
"loss": 1.7694,
|
1216 |
+
"step": 169
|
1217 |
+
},
|
1218 |
+
{
|
1219 |
+
"epoch": 0.1110022853411688,
|
1220 |
+
"grad_norm": 3.3339791297912598,
|
1221 |
+
"learning_rate": 0.0001080625248421878,
|
1222 |
+
"loss": 1.9348,
|
1223 |
+
"step": 170
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 0.11165523996082272,
|
1227 |
+
"grad_norm": 3.3256616592407227,
|
1228 |
+
"learning_rate": 0.0001068242413364671,
|
1229 |
+
"loss": 1.8868,
|
1230 |
+
"step": 171
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 0.11230819458047665,
|
1234 |
+
"grad_norm": 2.873408317565918,
|
1235 |
+
"learning_rate": 0.00010558490560845107,
|
1236 |
+
"loss": 1.7327,
|
1237 |
+
"step": 172
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 0.11296114920013059,
|
1241 |
+
"grad_norm": 2.9288012981414795,
|
1242 |
+
"learning_rate": 0.00010434470874995781,
|
1243 |
+
"loss": 1.9178,
|
1244 |
+
"step": 173
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 0.11361410381978453,
|
1248 |
+
"grad_norm": 3.4907095432281494,
|
1249 |
+
"learning_rate": 0.00010310384198558225,
|
1250 |
+
"loss": 1.5658,
|
1251 |
+
"step": 174
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 0.11426705843943846,
|
1255 |
+
"grad_norm": 2.5337088108062744,
|
1256 |
+
"learning_rate": 0.00010186249664321139,
|
1257 |
+
"loss": 0.9634,
|
1258 |
+
"step": 175
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 0.1149200130590924,
|
1262 |
+
"grad_norm": 3.862973690032959,
|
1263 |
+
"learning_rate": 0.00010062086412452352,
|
1264 |
+
"loss": 1.7911,
|
1265 |
+
"step": 176
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 0.11557296767874632,
|
1269 |
+
"grad_norm": 3.585923194885254,
|
1270 |
+
"learning_rate": 9.93791358754765e-05,
|
1271 |
+
"loss": 1.9018,
|
1272 |
+
"step": 177
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 0.11622592229840026,
|
1276 |
+
"grad_norm": 2.8271729946136475,
|
1277 |
+
"learning_rate": 9.813750335678866e-05,
|
1278 |
+
"loss": 1.5603,
|
1279 |
+
"step": 178
|
1280 |
+
},
|
1281 |
+
{
|
1282 |
+
"epoch": 0.1168788769180542,
|
1283 |
+
"grad_norm": 2.844407796859741,
|
1284 |
+
"learning_rate": 9.689615801441774e-05,
|
1285 |
+
"loss": 1.4833,
|
1286 |
+
"step": 179
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 0.11753183153770813,
|
1290 |
+
"grad_norm": 3.0475728511810303,
|
1291 |
+
"learning_rate": 9.56552912500422e-05,
|
1292 |
+
"loss": 1.4969,
|
1293 |
+
"step": 180
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 0.11818478615736207,
|
1297 |
+
"grad_norm": 3.360382318496704,
|
1298 |
+
"learning_rate": 9.441509439154895e-05,
|
1299 |
+
"loss": 1.7167,
|
1300 |
+
"step": 181
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 0.11883774077701599,
|
1304 |
+
"grad_norm": 2.9843080043792725,
|
1305 |
+
"learning_rate": 9.317575866353292e-05,
|
1306 |
+
"loss": 1.4516,
|
1307 |
+
"step": 182
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 0.11949069539666993,
|
1311 |
+
"grad_norm": 3.0425808429718018,
|
1312 |
+
"learning_rate": 9.193747515781224e-05,
|
1313 |
+
"loss": 1.2171,
|
1314 |
+
"step": 183
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 0.12014365001632386,
|
1318 |
+
"grad_norm": 3.03841495513916,
|
1319 |
+
"learning_rate": 9.070043480396404e-05,
|
1320 |
+
"loss": 1.2647,
|
1321 |
+
"step": 184
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 0.1207966046359778,
|
1325 |
+
"grad_norm": 2.7172021865844727,
|
1326 |
+
"learning_rate": 8.94648283398853e-05,
|
1327 |
+
"loss": 1.0993,
|
1328 |
+
"step": 185
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 0.12144955925563174,
|
1332 |
+
"grad_norm": 3.215526580810547,
|
1333 |
+
"learning_rate": 8.823084628238298e-05,
|
1334 |
+
"loss": 1.2345,
|
1335 |
+
"step": 186
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 0.12210251387528567,
|
1339 |
+
"grad_norm": 2.8291847705841064,
|
1340 |
+
"learning_rate": 8.699867889779868e-05,
|
1341 |
+
"loss": 1.7698,
|
1342 |
+
"step": 187
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 0.1227554684949396,
|
1346 |
+
"grad_norm": 2.8613245487213135,
|
1347 |
+
"learning_rate": 8.57685161726715e-05,
|
1348 |
+
"loss": 1.9141,
|
1349 |
+
"step": 188
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 0.12340842311459353,
|
1353 |
+
"grad_norm": 2.358774185180664,
|
1354 |
+
"learning_rate": 8.454054778444431e-05,
|
1355 |
+
"loss": 1.7095,
|
1356 |
+
"step": 189
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 0.12406137773424747,
|
1360 |
+
"grad_norm": 2.2548892498016357,
|
1361 |
+
"learning_rate": 8.331496307221762e-05,
|
1362 |
+
"loss": 1.7769,
|
1363 |
+
"step": 190
|
1364 |
+
},
|
1365 |
+
{
|
1366 |
+
"epoch": 0.1247143323539014,
|
1367 |
+
"grad_norm": 2.9085566997528076,
|
1368 |
+
"learning_rate": 8.209195100755551e-05,
|
1369 |
+
"loss": 1.9351,
|
1370 |
+
"step": 191
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 0.12536728697355534,
|
1374 |
+
"grad_norm": 2.9980623722076416,
|
1375 |
+
"learning_rate": 8.087170016534835e-05,
|
1376 |
+
"loss": 2.0055,
|
1377 |
+
"step": 192
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 0.12602024159320926,
|
1381 |
+
"grad_norm": 2.8316338062286377,
|
1382 |
+
"learning_rate": 7.965439869473664e-05,
|
1383 |
+
"loss": 1.8518,
|
1384 |
+
"step": 193
|
1385 |
+
},
|
1386 |
+
{
|
1387 |
+
"epoch": 0.12667319621286321,
|
1388 |
+
"grad_norm": 2.983452081680298,
|
1389 |
+
"learning_rate": 7.84402342901005e-05,
|
1390 |
+
"loss": 1.996,
|
1391 |
+
"step": 194
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 0.12732615083251714,
|
1395 |
+
"grad_norm": 2.925206184387207,
|
1396 |
+
"learning_rate": 7.722939416211937e-05,
|
1397 |
+
"loss": 1.9398,
|
1398 |
+
"step": 195
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 0.12797910545217106,
|
1402 |
+
"grad_norm": 2.671654462814331,
|
1403 |
+
"learning_rate": 7.6022065008906e-05,
|
1404 |
+
"loss": 1.7095,
|
1405 |
+
"step": 196
|
1406 |
+
},
|
1407 |
+
{
|
1408 |
+
"epoch": 0.128632060071825,
|
1409 |
+
"grad_norm": 3.020463705062866,
|
1410 |
+
"learning_rate": 7.481843298721982e-05,
|
1411 |
+
"loss": 1.82,
|
1412 |
+
"step": 197
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 0.12928501469147893,
|
1416 |
+
"grad_norm": 2.837937593460083,
|
1417 |
+
"learning_rate": 7.361868368376364e-05,
|
1418 |
+
"loss": 1.5275,
|
1419 |
+
"step": 198
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 0.12993796931113288,
|
1423 |
+
"grad_norm": 3.599421739578247,
|
1424 |
+
"learning_rate": 7.242300208656814e-05,
|
1425 |
+
"loss": 1.2762,
|
1426 |
+
"step": 199
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 0.1305909239307868,
|
1430 |
+
"grad_norm": 3.3294129371643066,
|
1431 |
+
"learning_rate": 7.123157255646888e-05,
|
1432 |
+
"loss": 1.0834,
|
1433 |
+
"step": 200
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 0.13124387855044076,
|
1437 |
+
"grad_norm": 3.3265252113342285,
|
1438 |
+
"learning_rate": 7.004457879867986e-05,
|
1439 |
+
"loss": 1.8808,
|
1440 |
+
"step": 201
|
1441 |
+
},
|
1442 |
+
{
|
1443 |
+
"epoch": 0.13189683317009468,
|
1444 |
+
"grad_norm": 3.3643386363983154,
|
1445 |
+
"learning_rate": 6.886220383446814e-05,
|
1446 |
+
"loss": 1.5511,
|
1447 |
+
"step": 202
|
1448 |
+
},
|
1449 |
+
{
|
1450 |
+
"epoch": 0.1325497877897486,
|
1451 |
+
"grad_norm": 2.6517298221588135,
|
1452 |
+
"learning_rate": 6.768462997293413e-05,
|
1453 |
+
"loss": 1.5762,
|
1454 |
+
"step": 203
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 0.13320274240940255,
|
1458 |
+
"grad_norm": 3.111353874206543,
|
1459 |
+
"learning_rate": 6.651203878290139e-05,
|
1460 |
+
"loss": 1.4893,
|
1461 |
+
"step": 204
|
1462 |
+
},
|
1463 |
+
{
|
1464 |
+
"epoch": 0.13385569702905648,
|
1465 |
+
"grad_norm": 2.823064088821411,
|
1466 |
+
"learning_rate": 6.534461106492093e-05,
|
1467 |
+
"loss": 1.658,
|
1468 |
+
"step": 205
|
1469 |
+
},
|
1470 |
+
{
|
1471 |
+
"epoch": 0.13450865164871043,
|
1472 |
+
"grad_norm": 2.825458526611328,
|
1473 |
+
"learning_rate": 6.418252682339361e-05,
|
1474 |
+
"loss": 1.6023,
|
1475 |
+
"step": 206
|
1476 |
+
},
|
1477 |
+
{
|
1478 |
+
"epoch": 0.13516160626836435,
|
1479 |
+
"grad_norm": 2.8322906494140625,
|
1480 |
+
"learning_rate": 6.30259652388155e-05,
|
1481 |
+
"loss": 1.4659,
|
1482 |
+
"step": 207
|
1483 |
+
},
|
1484 |
+
{
|
1485 |
+
"epoch": 0.13581456088801827,
|
1486 |
+
"grad_norm": 2.5433881282806396,
|
1487 |
+
"learning_rate": 6.187510464015022e-05,
|
1488 |
+
"loss": 1.3384,
|
1489 |
+
"step": 208
|
1490 |
+
},
|
1491 |
+
{
|
1492 |
+
"epoch": 0.13646751550767222,
|
1493 |
+
"grad_norm": 3.240464925765991,
|
1494 |
+
"learning_rate": 6.0730122477332675e-05,
|
1495 |
+
"loss": 0.9005,
|
1496 |
+
"step": 209
|
1497 |
+
},
|
1498 |
+
{
|
1499 |
+
"epoch": 0.13712047012732614,
|
1500 |
+
"grad_norm": 3.5450103282928467,
|
1501 |
+
"learning_rate": 5.9591195293908174e-05,
|
1502 |
+
"loss": 1.3865,
|
1503 |
+
"step": 210
|
1504 |
+
},
|
1505 |
+
{
|
1506 |
+
"epoch": 0.1377734247469801,
|
1507 |
+
"grad_norm": 2.67393159866333,
|
1508 |
+
"learning_rate": 5.845849869981137e-05,
|
1509 |
+
"loss": 1.2309,
|
1510 |
+
"step": 211
|
1511 |
+
},
|
1512 |
+
{
|
1513 |
+
"epoch": 0.13842637936663402,
|
1514 |
+
"grad_norm": 3.3300986289978027,
|
1515 |
+
"learning_rate": 5.733220734428919e-05,
|
1516 |
+
"loss": 1.9498,
|
1517 |
+
"step": 212
|
1518 |
+
},
|
1519 |
+
{
|
1520 |
+
"epoch": 0.13907933398628794,
|
1521 |
+
"grad_norm": 2.3089957237243652,
|
1522 |
+
"learning_rate": 5.621249488897176e-05,
|
1523 |
+
"loss": 1.7914,
|
1524 |
+
"step": 213
|
1525 |
+
},
|
1526 |
+
{
|
1527 |
+
"epoch": 0.1397322886059419,
|
1528 |
+
"grad_norm": 2.3583531379699707,
|
1529 |
+
"learning_rate": 5.509953398109594e-05,
|
1530 |
+
"loss": 1.6828,
|
1531 |
+
"step": 214
|
1532 |
+
},
|
1533 |
+
{
|
1534 |
+
"epoch": 0.1403852432255958,
|
1535 |
+
"grad_norm": 2.0636346340179443,
|
1536 |
+
"learning_rate": 5.399349622688479e-05,
|
1537 |
+
"loss": 1.7596,
|
1538 |
+
"step": 215
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 0.14103819784524976,
|
1542 |
+
"grad_norm": 2.3721492290496826,
|
1543 |
+
"learning_rate": 5.2894552165087916e-05,
|
1544 |
+
"loss": 1.8535,
|
1545 |
+
"step": 216
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 0.14169115246490369,
|
1549 |
+
"grad_norm": 2.338106632232666,
|
1550 |
+
"learning_rate": 5.1802871240686234e-05,
|
1551 |
+
"loss": 1.8166,
|
1552 |
+
"step": 217
|
1553 |
+
},
|
1554 |
+
{
|
1555 |
+
"epoch": 0.14234410708455764,
|
1556 |
+
"grad_norm": 2.8886420726776123,
|
1557 |
+
"learning_rate": 5.0718621778765476e-05,
|
1558 |
+
"loss": 1.8643,
|
1559 |
+
"step": 218
|
1560 |
+
},
|
1561 |
+
{
|
1562 |
+
"epoch": 0.14299706170421156,
|
1563 |
+
"grad_norm": 2.71232533454895,
|
1564 |
+
"learning_rate": 4.9641970958562366e-05,
|
1565 |
+
"loss": 1.5456,
|
1566 |
+
"step": 219
|
1567 |
+
},
|
1568 |
+
{
|
1569 |
+
"epoch": 0.14365001632386548,
|
1570 |
+
"grad_norm": 3.262185573577881,
|
1571 |
+
"learning_rate": 4.8573084787687326e-05,
|
1572 |
+
"loss": 1.6296,
|
1573 |
+
"step": 220
|
1574 |
+
},
|
1575 |
+
{
|
1576 |
+
"epoch": 0.14430297094351943,
|
1577 |
+
"grad_norm": 2.6300837993621826,
|
1578 |
+
"learning_rate": 4.751212807652806e-05,
|
1579 |
+
"loss": 1.6135,
|
1580 |
+
"step": 221
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 0.14495592556317335,
|
1584 |
+
"grad_norm": 3.008484363555908,
|
1585 |
+
"learning_rate": 4.6459264412837454e-05,
|
1586 |
+
"loss": 1.7263,
|
1587 |
+
"step": 222
|
1588 |
+
},
|
1589 |
+
{
|
1590 |
+
"epoch": 0.1456088801828273,
|
1591 |
+
"grad_norm": 2.9057788848876953,
|
1592 |
+
"learning_rate": 4.5414656136510334e-05,
|
1593 |
+
"loss": 1.2964,
|
1594 |
+
"step": 223
|
1595 |
+
},
|
1596 |
+
{
|
1597 |
+
"epoch": 0.14626183480248123,
|
1598 |
+
"grad_norm": 2.710711717605591,
|
1599 |
+
"learning_rate": 4.437846431455249e-05,
|
1600 |
+
"loss": 1.2502,
|
1601 |
+
"step": 224
|
1602 |
+
},
|
1603 |
+
{
|
1604 |
+
"epoch": 0.14691478942213515,
|
1605 |
+
"grad_norm": 2.6256871223449707,
|
1606 |
+
"learning_rate": 4.335084871624572e-05,
|
1607 |
+
"loss": 0.9017,
|
1608 |
+
"step": 225
|
1609 |
+
},
|
1610 |
+
{
|
1611 |
+
"epoch": 0.1475677440417891,
|
1612 |
+
"grad_norm": 3.905369997024536,
|
1613 |
+
"learning_rate": 4.2331967788513295e-05,
|
1614 |
+
"loss": 2.0128,
|
1615 |
+
"step": 226
|
1616 |
+
},
|
1617 |
+
{
|
1618 |
+
"epoch": 0.14822069866144302,
|
1619 |
+
"grad_norm": 3.0856714248657227,
|
1620 |
+
"learning_rate": 4.132197863148925e-05,
|
1621 |
+
"loss": 1.7455,
|
1622 |
+
"step": 227
|
1623 |
+
},
|
1624 |
+
{
|
1625 |
+
"epoch": 0.14887365328109697,
|
1626 |
+
"grad_norm": 3.04111385345459,
|
1627 |
+
"learning_rate": 4.0321036974295156e-05,
|
1628 |
+
"loss": 1.7097,
|
1629 |
+
"step": 228
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 0.14887365328109697,
|
1633 |
+
"eval_loss": NaN,
|
1634 |
+
"eval_runtime": 702.6357,
|
1635 |
+
"eval_samples_per_second": 3.672,
|
1636 |
+
"eval_steps_per_second": 0.918,
|
1637 |
+
"step": 228
|
1638 |
}
|
1639 |
],
|
1640 |
"logging_steps": 1,
|
|
|
1654 |
"attributes": {}
|
1655 |
}
|
1656 |
},
|
1657 |
+
"total_flos": 6.994076271252603e+17,
|
1658 |
"train_batch_size": 2,
|
1659 |
"trial_name": null,
|
1660 |
"trial_params": null
|