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:
|
| 3 |
size 1001465824
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eca5105c36e37c5a5c118b64588325176750e10eb96a592bb1a1899e5212c452
|
| 3 |
size 1001465824
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 509176980
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a01eb7632a94fc2626b59c3805dbbadb1c366246557049b77abad06743c5181f
|
| 3 |
size 509176980
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40e49b115554e94d9d599d75e87da0cb27bfe4d5076601fb1b20c15fca8f678c
|
| 3 |
size 14244
|
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:d2d754412c61116546142914503e7369d0cc35d3c380a07e5218f595d76b6d96
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "miner_id_24/checkpoint-
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 50,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -1081,6 +1081,364 @@
|
|
| 1081 |
"eval_samples_per_second": 9.167,
|
| 1082 |
"eval_steps_per_second": 2.293,
|
| 1083 |
"step": 150
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1084 |
}
|
| 1085 |
],
|
| 1086 |
"logging_steps": 1,
|
|
@@ -1104,12 +1462,12 @@
|
|
| 1104 |
"should_evaluate": false,
|
| 1105 |
"should_log": false,
|
| 1106 |
"should_save": true,
|
| 1107 |
-
"should_training_stop":
|
| 1108 |
},
|
| 1109 |
"attributes": {}
|
| 1110 |
}
|
| 1111 |
},
|
| 1112 |
-
"total_flos":
|
| 1113 |
"train_batch_size": 8,
|
| 1114 |
"trial_name": null,
|
| 1115 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.45877861976623535,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-200",
|
| 4 |
+
"epoch": 0.15043249341857842,
|
| 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,
|
|
|
|
| 1081 |
"eval_samples_per_second": 9.167,
|
| 1082 |
"eval_steps_per_second": 2.293,
|
| 1083 |
"step": 150
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 0.1135765325310267,
|
| 1087 |
+
"grad_norm": 0.7089493274688721,
|
| 1088 |
+
"learning_rate": 1.553232954407171e-05,
|
| 1089 |
+
"loss": 0.5168,
|
| 1090 |
+
"step": 151
|
| 1091 |
+
},
|
| 1092 |
+
{
|
| 1093 |
+
"epoch": 0.1143286949981196,
|
| 1094 |
+
"grad_norm": 0.8152643442153931,
|
| 1095 |
+
"learning_rate": 1.4938160786375572e-05,
|
| 1096 |
+
"loss": 0.4799,
|
| 1097 |
+
"step": 152
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 0.11508085746521249,
|
| 1101 |
+
"grad_norm": 0.7512164115905762,
|
| 1102 |
+
"learning_rate": 1.435357758543015e-05,
|
| 1103 |
+
"loss": 0.5325,
|
| 1104 |
+
"step": 153
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 0.11583301993230538,
|
| 1108 |
+
"grad_norm": 0.7539132237434387,
|
| 1109 |
+
"learning_rate": 1.3778739760445552e-05,
|
| 1110 |
+
"loss": 0.4941,
|
| 1111 |
+
"step": 154
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 0.11658518239939827,
|
| 1115 |
+
"grad_norm": 0.7556098103523254,
|
| 1116 |
+
"learning_rate": 1.3213804466343421e-05,
|
| 1117 |
+
"loss": 0.4377,
|
| 1118 |
+
"step": 155
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 0.11733734486649117,
|
| 1122 |
+
"grad_norm": 0.7106052041053772,
|
| 1123 |
+
"learning_rate": 1.2658926150792322e-05,
|
| 1124 |
+
"loss": 0.4187,
|
| 1125 |
+
"step": 156
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 0.11808950733358406,
|
| 1129 |
+
"grad_norm": 0.728340208530426,
|
| 1130 |
+
"learning_rate": 1.2114256511983274e-05,
|
| 1131 |
+
"loss": 0.4832,
|
| 1132 |
+
"step": 157
|
| 1133 |
+
},
|
| 1134 |
+
{
|
| 1135 |
+
"epoch": 0.11884166980067695,
|
| 1136 |
+
"grad_norm": 0.7109206318855286,
|
| 1137 |
+
"learning_rate": 1.157994445715706e-05,
|
| 1138 |
+
"loss": 0.4654,
|
| 1139 |
+
"step": 158
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 0.11959383226776985,
|
| 1143 |
+
"grad_norm": 0.671646773815155,
|
| 1144 |
+
"learning_rate": 1.1056136061894384e-05,
|
| 1145 |
+
"loss": 0.4605,
|
| 1146 |
+
"step": 159
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 0.12034599473486272,
|
| 1150 |
+
"grad_norm": 0.6720251441001892,
|
| 1151 |
+
"learning_rate": 1.0542974530180327e-05,
|
| 1152 |
+
"loss": 0.4786,
|
| 1153 |
+
"step": 160
|
| 1154 |
+
},
|
| 1155 |
+
{
|
| 1156 |
+
"epoch": 0.12109815720195562,
|
| 1157 |
+
"grad_norm": 0.5881407260894775,
|
| 1158 |
+
"learning_rate": 1.0040600155253765e-05,
|
| 1159 |
+
"loss": 0.4256,
|
| 1160 |
+
"step": 161
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 0.12185031966904851,
|
| 1164 |
+
"grad_norm": 0.6694319844245911,
|
| 1165 |
+
"learning_rate": 9.549150281252633e-06,
|
| 1166 |
+
"loss": 0.4899,
|
| 1167 |
+
"step": 162
|
| 1168 |
+
},
|
| 1169 |
+
{
|
| 1170 |
+
"epoch": 0.1226024821361414,
|
| 1171 |
+
"grad_norm": 0.6806572079658508,
|
| 1172 |
+
"learning_rate": 9.068759265665384e-06,
|
| 1173 |
+
"loss": 0.4852,
|
| 1174 |
+
"step": 163
|
| 1175 |
+
},
|
| 1176 |
+
{
|
| 1177 |
+
"epoch": 0.1233546446032343,
|
| 1178 |
+
"grad_norm": 0.6066625118255615,
|
| 1179 |
+
"learning_rate": 8.599558442598998e-06,
|
| 1180 |
+
"loss": 0.4217,
|
| 1181 |
+
"step": 164
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"epoch": 0.12410680707032719,
|
| 1185 |
+
"grad_norm": 0.6672861576080322,
|
| 1186 |
+
"learning_rate": 8.141676086873572e-06,
|
| 1187 |
+
"loss": 0.4459,
|
| 1188 |
+
"step": 165
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 0.12485896953742008,
|
| 1192 |
+
"grad_norm": 0.6781712174415588,
|
| 1193 |
+
"learning_rate": 7.695237378953223e-06,
|
| 1194 |
+
"loss": 0.448,
|
| 1195 |
+
"step": 166
|
| 1196 |
+
},
|
| 1197 |
+
{
|
| 1198 |
+
"epoch": 0.125611132004513,
|
| 1199 |
+
"grad_norm": 0.7649991512298584,
|
| 1200 |
+
"learning_rate": 7.260364370723044e-06,
|
| 1201 |
+
"loss": 0.5125,
|
| 1202 |
+
"step": 167
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 0.12636329447160588,
|
| 1206 |
+
"grad_norm": 0.7905286550521851,
|
| 1207 |
+
"learning_rate": 6.837175952121306e-06,
|
| 1208 |
+
"loss": 0.5049,
|
| 1209 |
+
"step": 168
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 0.12711545693869875,
|
| 1213 |
+
"grad_norm": 0.8272511959075928,
|
| 1214 |
+
"learning_rate": 6.425787818636131e-06,
|
| 1215 |
+
"loss": 0.4586,
|
| 1216 |
+
"step": 169
|
| 1217 |
+
},
|
| 1218 |
+
{
|
| 1219 |
+
"epoch": 0.12786761940579164,
|
| 1220 |
+
"grad_norm": 0.6807718276977539,
|
| 1221 |
+
"learning_rate": 6.026312439675552e-06,
|
| 1222 |
+
"loss": 0.4412,
|
| 1223 |
+
"step": 170
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 0.12861978187288453,
|
| 1227 |
+
"grad_norm": 0.7143257856369019,
|
| 1228 |
+
"learning_rate": 5.6388590278194096e-06,
|
| 1229 |
+
"loss": 0.4461,
|
| 1230 |
+
"step": 171
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 0.12937194433997742,
|
| 1234 |
+
"grad_norm": 0.6964743137359619,
|
| 1235 |
+
"learning_rate": 5.263533508961827e-06,
|
| 1236 |
+
"loss": 0.4459,
|
| 1237 |
+
"step": 172
|
| 1238 |
+
},
|
| 1239 |
+
{
|
| 1240 |
+
"epoch": 0.13012410680707032,
|
| 1241 |
+
"grad_norm": 0.7276827692985535,
|
| 1242 |
+
"learning_rate": 4.900438493352055e-06,
|
| 1243 |
+
"loss": 0.4059,
|
| 1244 |
+
"step": 173
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 0.1308762692741632,
|
| 1248 |
+
"grad_norm": 0.8058905005455017,
|
| 1249 |
+
"learning_rate": 4.549673247541875e-06,
|
| 1250 |
+
"loss": 0.528,
|
| 1251 |
+
"step": 174
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 0.1316284317412561,
|
| 1255 |
+
"grad_norm": 0.7103945016860962,
|
| 1256 |
+
"learning_rate": 4.2113336672471245e-06,
|
| 1257 |
+
"loss": 0.4412,
|
| 1258 |
+
"step": 175
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 0.132380594208349,
|
| 1262 |
+
"grad_norm": 0.9015325307846069,
|
| 1263 |
+
"learning_rate": 3.885512251130763e-06,
|
| 1264 |
+
"loss": 0.4474,
|
| 1265 |
+
"step": 176
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 0.1331327566754419,
|
| 1269 |
+
"grad_norm": 0.7199760675430298,
|
| 1270 |
+
"learning_rate": 3.5722980755146517e-06,
|
| 1271 |
+
"loss": 0.4662,
|
| 1272 |
+
"step": 177
|
| 1273 |
+
},
|
| 1274 |
+
{
|
| 1275 |
+
"epoch": 0.13388491914253478,
|
| 1276 |
+
"grad_norm": 0.6755868792533875,
|
| 1277 |
+
"learning_rate": 3.271776770026963e-06,
|
| 1278 |
+
"loss": 0.4488,
|
| 1279 |
+
"step": 178
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"epoch": 0.13463708160962767,
|
| 1283 |
+
"grad_norm": 0.6957080960273743,
|
| 1284 |
+
"learning_rate": 2.9840304941919415e-06,
|
| 1285 |
+
"loss": 0.4241,
|
| 1286 |
+
"step": 179
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 0.13538924407672057,
|
| 1290 |
+
"grad_norm": 0.6734219193458557,
|
| 1291 |
+
"learning_rate": 2.7091379149682685e-06,
|
| 1292 |
+
"loss": 0.4173,
|
| 1293 |
+
"step": 180
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 0.13614140654381346,
|
| 1297 |
+
"grad_norm": 0.703787624835968,
|
| 1298 |
+
"learning_rate": 2.4471741852423237e-06,
|
| 1299 |
+
"loss": 0.4186,
|
| 1300 |
+
"step": 181
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 0.13689356901090635,
|
| 1304 |
+
"grad_norm": 0.9635581970214844,
|
| 1305 |
+
"learning_rate": 2.1982109232821178e-06,
|
| 1306 |
+
"loss": 0.487,
|
| 1307 |
+
"step": 182
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 0.13764573147799924,
|
| 1311 |
+
"grad_norm": 0.7471837401390076,
|
| 1312 |
+
"learning_rate": 1.962316193157593e-06,
|
| 1313 |
+
"loss": 0.4835,
|
| 1314 |
+
"step": 183
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"epoch": 0.13839789394509214,
|
| 1318 |
+
"grad_norm": 0.7544340491294861,
|
| 1319 |
+
"learning_rate": 1.7395544861325718e-06,
|
| 1320 |
+
"loss": 0.4855,
|
| 1321 |
+
"step": 184
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 0.13915005641218503,
|
| 1325 |
+
"grad_norm": 0.9971836805343628,
|
| 1326 |
+
"learning_rate": 1.5299867030334814e-06,
|
| 1327 |
+
"loss": 0.43,
|
| 1328 |
+
"step": 185
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 0.13990221887927792,
|
| 1332 |
+
"grad_norm": 0.7035056352615356,
|
| 1333 |
+
"learning_rate": 1.333670137599713e-06,
|
| 1334 |
+
"loss": 0.423,
|
| 1335 |
+
"step": 186
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 0.14065438134637082,
|
| 1339 |
+
"grad_norm": 0.7129049897193909,
|
| 1340 |
+
"learning_rate": 1.1506584608200367e-06,
|
| 1341 |
+
"loss": 0.4472,
|
| 1342 |
+
"step": 187
|
| 1343 |
+
},
|
| 1344 |
+
{
|
| 1345 |
+
"epoch": 0.1414065438134637,
|
| 1346 |
+
"grad_norm": 0.814771294593811,
|
| 1347 |
+
"learning_rate": 9.810017062595322e-07,
|
| 1348 |
+
"loss": 0.4676,
|
| 1349 |
+
"step": 188
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 0.1421587062805566,
|
| 1353 |
+
"grad_norm": 0.7424513697624207,
|
| 1354 |
+
"learning_rate": 8.247462563808817e-07,
|
| 1355 |
+
"loss": 0.4547,
|
| 1356 |
+
"step": 189
|
| 1357 |
+
},
|
| 1358 |
+
{
|
| 1359 |
+
"epoch": 0.1429108687476495,
|
| 1360 |
+
"grad_norm": 0.7497536540031433,
|
| 1361 |
+
"learning_rate": 6.819348298638839e-07,
|
| 1362 |
+
"loss": 0.4955,
|
| 1363 |
+
"step": 190
|
| 1364 |
+
},
|
| 1365 |
+
{
|
| 1366 |
+
"epoch": 0.1436630312147424,
|
| 1367 |
+
"grad_norm": 0.7454956769943237,
|
| 1368 |
+
"learning_rate": 5.526064699265753e-07,
|
| 1369 |
+
"loss": 0.4338,
|
| 1370 |
+
"step": 191
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 0.14441519368183528,
|
| 1374 |
+
"grad_norm": 0.7977428436279297,
|
| 1375 |
+
"learning_rate": 4.367965336512403e-07,
|
| 1376 |
+
"loss": 0.481,
|
| 1377 |
+
"step": 192
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 0.14516735614892817,
|
| 1381 |
+
"grad_norm": 0.76697838306427,
|
| 1382 |
+
"learning_rate": 3.3453668231809286e-07,
|
| 1383 |
+
"loss": 0.4755,
|
| 1384 |
+
"step": 193
|
| 1385 |
+
},
|
| 1386 |
+
{
|
| 1387 |
+
"epoch": 0.14591951861602107,
|
| 1388 |
+
"grad_norm": 0.9032694101333618,
|
| 1389 |
+
"learning_rate": 2.458548727494292e-07,
|
| 1390 |
+
"loss": 0.4117,
|
| 1391 |
+
"step": 194
|
| 1392 |
+
},
|
| 1393 |
+
{
|
| 1394 |
+
"epoch": 0.14667168108311396,
|
| 1395 |
+
"grad_norm": 0.8770331740379333,
|
| 1396 |
+
"learning_rate": 1.7077534966650766e-07,
|
| 1397 |
+
"loss": 0.4844,
|
| 1398 |
+
"step": 195
|
| 1399 |
+
},
|
| 1400 |
+
{
|
| 1401 |
+
"epoch": 0.14742384355020685,
|
| 1402 |
+
"grad_norm": 0.9377506375312805,
|
| 1403 |
+
"learning_rate": 1.0931863906127327e-07,
|
| 1404 |
+
"loss": 0.4144,
|
| 1405 |
+
"step": 196
|
| 1406 |
+
},
|
| 1407 |
+
{
|
| 1408 |
+
"epoch": 0.14817600601729974,
|
| 1409 |
+
"grad_norm": 0.8423154354095459,
|
| 1410 |
+
"learning_rate": 6.150154258476315e-08,
|
| 1411 |
+
"loss": 0.4245,
|
| 1412 |
+
"step": 197
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 0.14892816848439264,
|
| 1416 |
+
"grad_norm": 0.8456916809082031,
|
| 1417 |
+
"learning_rate": 2.7337132953697554e-08,
|
| 1418 |
+
"loss": 0.4682,
|
| 1419 |
+
"step": 198
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 0.14968033095148553,
|
| 1423 |
+
"grad_norm": 0.8283889889717102,
|
| 1424 |
+
"learning_rate": 6.834750376549792e-09,
|
| 1425 |
+
"loss": 0.3841,
|
| 1426 |
+
"step": 199
|
| 1427 |
+
},
|
| 1428 |
+
{
|
| 1429 |
+
"epoch": 0.15043249341857842,
|
| 1430 |
+
"grad_norm": 1.1375845670700073,
|
| 1431 |
+
"learning_rate": 0.0,
|
| 1432 |
+
"loss": 0.4198,
|
| 1433 |
+
"step": 200
|
| 1434 |
+
},
|
| 1435 |
+
{
|
| 1436 |
+
"epoch": 0.15043249341857842,
|
| 1437 |
+
"eval_loss": 0.45877861976623535,
|
| 1438 |
+
"eval_runtime": 244.7763,
|
| 1439 |
+
"eval_samples_per_second": 9.147,
|
| 1440 |
+
"eval_steps_per_second": 2.288,
|
| 1441 |
+
"step": 200
|
| 1442 |
}
|
| 1443 |
],
|
| 1444 |
"logging_steps": 1,
|
|
|
|
| 1462 |
"should_evaluate": false,
|
| 1463 |
"should_log": false,
|
| 1464 |
"should_save": true,
|
| 1465 |
+
"should_training_stop": true
|
| 1466 |
},
|
| 1467 |
"attributes": {}
|
| 1468 |
}
|
| 1469 |
},
|
| 1470 |
+
"total_flos": 5.216495638413312e+17,
|
| 1471 |
"train_batch_size": 8,
|
| 1472 |
"trial_name": null,
|
| 1473 |
"trial_params": null
|