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 671149168
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:13a268715f21c477d494755a86e152232186656011ab44b881216e8a35f77ae0
|
| 3 |
size 671149168
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 341314196
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93c9d9813fc7bbdfc149f4e9cbe159814d26aa3e6907b1ca2d1d507076a95222
|
| 3 |
size 341314196
|
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 sha256:84b69e59e07ef1ec71efc3ed6ad51d24bfafcb6c2e22ba9c9df4f3ec6adffec6
|
| 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:e1748c065d82adf475a51dba0ff56fd123a17810f07662718ca6d5704be8f9bd
|
| 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,
|
|
@@ -1089,6 +1089,364 @@
|
|
| 1089 |
"eval_samples_per_second": 8.828,
|
| 1090 |
"eval_steps_per_second": 2.207,
|
| 1091 |
"step": 150
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1092 |
}
|
| 1093 |
],
|
| 1094 |
"logging_steps": 1,
|
|
@@ -1112,12 +1470,12 @@
|
|
| 1112 |
"should_evaluate": false,
|
| 1113 |
"should_log": false,
|
| 1114 |
"should_save": true,
|
| 1115 |
-
"should_training_stop":
|
| 1116 |
},
|
| 1117 |
"attributes": {}
|
| 1118 |
}
|
| 1119 |
},
|
| 1120 |
-
"total_flos":
|
| 1121 |
"train_batch_size": 4,
|
| 1122 |
"trial_name": null,
|
| 1123 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.39835089445114136,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-200",
|
| 4 |
+
"epoch": 0.039219531326600644,
|
| 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": 8.828,
|
| 1090 |
"eval_steps_per_second": 2.207,
|
| 1091 |
"step": 150
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 0.02961074615158349,
|
| 1095 |
+
"grad_norm": 2.3103225231170654,
|
| 1096 |
+
"learning_rate": 2.6124736842105265e-05,
|
| 1097 |
+
"loss": 1.6545,
|
| 1098 |
+
"step": 151
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 0.029806843808216493,
|
| 1102 |
+
"grad_norm": 2.189096212387085,
|
| 1103 |
+
"learning_rate": 2.5591578947368422e-05,
|
| 1104 |
+
"loss": 1.242,
|
| 1105 |
+
"step": 152
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 0.030002941464849494,
|
| 1109 |
+
"grad_norm": 2.5252749919891357,
|
| 1110 |
+
"learning_rate": 2.5058421052631576e-05,
|
| 1111 |
+
"loss": 0.8876,
|
| 1112 |
+
"step": 153
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 0.030199039121482498,
|
| 1116 |
+
"grad_norm": 2.368947744369507,
|
| 1117 |
+
"learning_rate": 2.4525263157894737e-05,
|
| 1118 |
+
"loss": 0.5719,
|
| 1119 |
+
"step": 154
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 0.030395136778115502,
|
| 1123 |
+
"grad_norm": 3.339559555053711,
|
| 1124 |
+
"learning_rate": 2.3992105263157894e-05,
|
| 1125 |
+
"loss": 0.8108,
|
| 1126 |
+
"step": 155
|
| 1127 |
+
},
|
| 1128 |
+
{
|
| 1129 |
+
"epoch": 0.030591234434748506,
|
| 1130 |
+
"grad_norm": 3.459869384765625,
|
| 1131 |
+
"learning_rate": 2.345894736842105e-05,
|
| 1132 |
+
"loss": 0.9131,
|
| 1133 |
+
"step": 156
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"epoch": 0.030787332091381507,
|
| 1137 |
+
"grad_norm": 3.1462159156799316,
|
| 1138 |
+
"learning_rate": 2.292578947368421e-05,
|
| 1139 |
+
"loss": 0.6374,
|
| 1140 |
+
"step": 157
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 0.03098342974801451,
|
| 1144 |
+
"grad_norm": 3.2871663570404053,
|
| 1145 |
+
"learning_rate": 2.2392631578947366e-05,
|
| 1146 |
+
"loss": 0.5344,
|
| 1147 |
+
"step": 158
|
| 1148 |
+
},
|
| 1149 |
+
{
|
| 1150 |
+
"epoch": 0.031179527404647515,
|
| 1151 |
+
"grad_norm": 3.710097551345825,
|
| 1152 |
+
"learning_rate": 2.1859473684210527e-05,
|
| 1153 |
+
"loss": 0.6659,
|
| 1154 |
+
"step": 159
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 0.03137562506128052,
|
| 1158 |
+
"grad_norm": 4.066810607910156,
|
| 1159 |
+
"learning_rate": 2.132631578947368e-05,
|
| 1160 |
+
"loss": 0.8895,
|
| 1161 |
+
"step": 160
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 0.031571722717913524,
|
| 1165 |
+
"grad_norm": 5.886650562286377,
|
| 1166 |
+
"learning_rate": 2.0793157894736842e-05,
|
| 1167 |
+
"loss": 0.6039,
|
| 1168 |
+
"step": 161
|
| 1169 |
+
},
|
| 1170 |
+
{
|
| 1171 |
+
"epoch": 0.03176782037454652,
|
| 1172 |
+
"grad_norm": 4.538609027862549,
|
| 1173 |
+
"learning_rate": 2.026e-05,
|
| 1174 |
+
"loss": 0.6759,
|
| 1175 |
+
"step": 162
|
| 1176 |
+
},
|
| 1177 |
+
{
|
| 1178 |
+
"epoch": 0.031963918031179525,
|
| 1179 |
+
"grad_norm": 3.765707492828369,
|
| 1180 |
+
"learning_rate": 1.9726842105263157e-05,
|
| 1181 |
+
"loss": 0.6326,
|
| 1182 |
+
"step": 163
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 0.03216001568781253,
|
| 1186 |
+
"grad_norm": 6.490860462188721,
|
| 1187 |
+
"learning_rate": 1.9193684210526314e-05,
|
| 1188 |
+
"loss": 0.7506,
|
| 1189 |
+
"step": 164
|
| 1190 |
+
},
|
| 1191 |
+
{
|
| 1192 |
+
"epoch": 0.03235611334444553,
|
| 1193 |
+
"grad_norm": 6.850986003875732,
|
| 1194 |
+
"learning_rate": 1.866052631578947e-05,
|
| 1195 |
+
"loss": 1.5781,
|
| 1196 |
+
"step": 165
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 0.03255221100107854,
|
| 1200 |
+
"grad_norm": 5.435571670532227,
|
| 1201 |
+
"learning_rate": 1.8127368421052632e-05,
|
| 1202 |
+
"loss": 1.3103,
|
| 1203 |
+
"step": 166
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"epoch": 0.03274830865771154,
|
| 1207 |
+
"grad_norm": 5.9961981773376465,
|
| 1208 |
+
"learning_rate": 1.759421052631579e-05,
|
| 1209 |
+
"loss": 0.7405,
|
| 1210 |
+
"step": 167
|
| 1211 |
+
},
|
| 1212 |
+
{
|
| 1213 |
+
"epoch": 0.032944406314344546,
|
| 1214 |
+
"grad_norm": 4.871255397796631,
|
| 1215 |
+
"learning_rate": 1.7061052631578947e-05,
|
| 1216 |
+
"loss": 0.4652,
|
| 1217 |
+
"step": 168
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 0.03314050397097755,
|
| 1221 |
+
"grad_norm": 4.8815813064575195,
|
| 1222 |
+
"learning_rate": 1.6527894736842104e-05,
|
| 1223 |
+
"loss": 0.618,
|
| 1224 |
+
"step": 169
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 0.03333660162761055,
|
| 1228 |
+
"grad_norm": 4.750624179840088,
|
| 1229 |
+
"learning_rate": 1.599473684210526e-05,
|
| 1230 |
+
"loss": 0.6856,
|
| 1231 |
+
"step": 170
|
| 1232 |
+
},
|
| 1233 |
+
{
|
| 1234 |
+
"epoch": 0.03353269928424355,
|
| 1235 |
+
"grad_norm": 7.770633220672607,
|
| 1236 |
+
"learning_rate": 1.546157894736842e-05,
|
| 1237 |
+
"loss": 0.8443,
|
| 1238 |
+
"step": 171
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 0.033728796940876556,
|
| 1242 |
+
"grad_norm": 6.323868751525879,
|
| 1243 |
+
"learning_rate": 1.4928421052631576e-05,
|
| 1244 |
+
"loss": 0.9987,
|
| 1245 |
+
"step": 172
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 0.03392489459750956,
|
| 1249 |
+
"grad_norm": 5.9244704246521,
|
| 1250 |
+
"learning_rate": 1.4395263157894735e-05,
|
| 1251 |
+
"loss": 0.604,
|
| 1252 |
+
"step": 173
|
| 1253 |
+
},
|
| 1254 |
+
{
|
| 1255 |
+
"epoch": 0.034120992254142564,
|
| 1256 |
+
"grad_norm": 3.8045401573181152,
|
| 1257 |
+
"learning_rate": 1.3862105263157895e-05,
|
| 1258 |
+
"loss": 0.4685,
|
| 1259 |
+
"step": 174
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 0.03431708991077557,
|
| 1263 |
+
"grad_norm": 3.9982945919036865,
|
| 1264 |
+
"learning_rate": 1.3328947368421052e-05,
|
| 1265 |
+
"loss": 0.4076,
|
| 1266 |
+
"step": 175
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 0.03451318756740857,
|
| 1270 |
+
"grad_norm": 4.927398204803467,
|
| 1271 |
+
"learning_rate": 1.2795789473684211e-05,
|
| 1272 |
+
"loss": 0.513,
|
| 1273 |
+
"step": 176
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 0.03470928522404157,
|
| 1277 |
+
"grad_norm": 6.403942584991455,
|
| 1278 |
+
"learning_rate": 1.2262631578947368e-05,
|
| 1279 |
+
"loss": 0.7918,
|
| 1280 |
+
"step": 177
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 0.034905382880674574,
|
| 1284 |
+
"grad_norm": 4.0845417976379395,
|
| 1285 |
+
"learning_rate": 1.1729473684210526e-05,
|
| 1286 |
+
"loss": 0.549,
|
| 1287 |
+
"step": 178
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 0.03510148053730758,
|
| 1291 |
+
"grad_norm": 4.9574971199035645,
|
| 1292 |
+
"learning_rate": 1.1196315789473683e-05,
|
| 1293 |
+
"loss": 0.6709,
|
| 1294 |
+
"step": 179
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 0.03529757819394058,
|
| 1298 |
+
"grad_norm": 5.515444278717041,
|
| 1299 |
+
"learning_rate": 1.066315789473684e-05,
|
| 1300 |
+
"loss": 0.4168,
|
| 1301 |
+
"step": 180
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 0.035493675850573586,
|
| 1305 |
+
"grad_norm": 4.872923374176025,
|
| 1306 |
+
"learning_rate": 1.013e-05,
|
| 1307 |
+
"loss": 0.5236,
|
| 1308 |
+
"step": 181
|
| 1309 |
+
},
|
| 1310 |
+
{
|
| 1311 |
+
"epoch": 0.03568977350720659,
|
| 1312 |
+
"grad_norm": 4.204654216766357,
|
| 1313 |
+
"learning_rate": 9.596842105263157e-06,
|
| 1314 |
+
"loss": 0.3943,
|
| 1315 |
+
"step": 182
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"epoch": 0.035885871163839594,
|
| 1319 |
+
"grad_norm": 7.92236328125,
|
| 1320 |
+
"learning_rate": 9.063684210526316e-06,
|
| 1321 |
+
"loss": 0.6719,
|
| 1322 |
+
"step": 183
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 0.0360819688204726,
|
| 1326 |
+
"grad_norm": 4.694291114807129,
|
| 1327 |
+
"learning_rate": 8.530526315789473e-06,
|
| 1328 |
+
"loss": 0.6745,
|
| 1329 |
+
"step": 184
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 0.036278066477105596,
|
| 1333 |
+
"grad_norm": 10.582623481750488,
|
| 1334 |
+
"learning_rate": 7.99736842105263e-06,
|
| 1335 |
+
"loss": 1.2978,
|
| 1336 |
+
"step": 185
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 0.0364741641337386,
|
| 1340 |
+
"grad_norm": 5.439732074737549,
|
| 1341 |
+
"learning_rate": 7.464210526315788e-06,
|
| 1342 |
+
"loss": 0.634,
|
| 1343 |
+
"step": 186
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 0.036670261790371604,
|
| 1347 |
+
"grad_norm": 4.565162181854248,
|
| 1348 |
+
"learning_rate": 6.931052631578947e-06,
|
| 1349 |
+
"loss": 0.3873,
|
| 1350 |
+
"step": 187
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"epoch": 0.03686635944700461,
|
| 1354 |
+
"grad_norm": 10.923154830932617,
|
| 1355 |
+
"learning_rate": 6.3978947368421055e-06,
|
| 1356 |
+
"loss": 0.9619,
|
| 1357 |
+
"step": 188
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"epoch": 0.03706245710363761,
|
| 1361 |
+
"grad_norm": 8.07060718536377,
|
| 1362 |
+
"learning_rate": 5.864736842105263e-06,
|
| 1363 |
+
"loss": 1.0734,
|
| 1364 |
+
"step": 189
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 0.03725855476027062,
|
| 1368 |
+
"grad_norm": 9.65943431854248,
|
| 1369 |
+
"learning_rate": 5.33157894736842e-06,
|
| 1370 |
+
"loss": 0.8327,
|
| 1371 |
+
"step": 190
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 0.03745465241690362,
|
| 1375 |
+
"grad_norm": 9.011460304260254,
|
| 1376 |
+
"learning_rate": 4.7984210526315785e-06,
|
| 1377 |
+
"loss": 0.7958,
|
| 1378 |
+
"step": 191
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 0.03765075007353662,
|
| 1382 |
+
"grad_norm": 6.413729190826416,
|
| 1383 |
+
"learning_rate": 4.265263157894737e-06,
|
| 1384 |
+
"loss": 0.9088,
|
| 1385 |
+
"step": 192
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 0.03784684773016962,
|
| 1389 |
+
"grad_norm": 9.666573524475098,
|
| 1390 |
+
"learning_rate": 3.732105263157894e-06,
|
| 1391 |
+
"loss": 0.7458,
|
| 1392 |
+
"step": 193
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 0.038042945386802626,
|
| 1396 |
+
"grad_norm": 7.883395195007324,
|
| 1397 |
+
"learning_rate": 3.1989473684210527e-06,
|
| 1398 |
+
"loss": 0.941,
|
| 1399 |
+
"step": 194
|
| 1400 |
+
},
|
| 1401 |
+
{
|
| 1402 |
+
"epoch": 0.03823904304343563,
|
| 1403 |
+
"grad_norm": 28.49505043029785,
|
| 1404 |
+
"learning_rate": 2.66578947368421e-06,
|
| 1405 |
+
"loss": 1.0965,
|
| 1406 |
+
"step": 195
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 0.038435140700068635,
|
| 1410 |
+
"grad_norm": 12.433637619018555,
|
| 1411 |
+
"learning_rate": 2.1326315789473684e-06,
|
| 1412 |
+
"loss": 1.1695,
|
| 1413 |
+
"step": 196
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 0.03863123835670164,
|
| 1417 |
+
"grad_norm": 35.15449523925781,
|
| 1418 |
+
"learning_rate": 1.5994736842105264e-06,
|
| 1419 |
+
"loss": 1.1924,
|
| 1420 |
+
"step": 197
|
| 1421 |
+
},
|
| 1422 |
+
{
|
| 1423 |
+
"epoch": 0.03882733601333464,
|
| 1424 |
+
"grad_norm": 7.140585899353027,
|
| 1425 |
+
"learning_rate": 1.0663157894736842e-06,
|
| 1426 |
+
"loss": 0.5003,
|
| 1427 |
+
"step": 198
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 0.03902343366996765,
|
| 1431 |
+
"grad_norm": 14.044109344482422,
|
| 1432 |
+
"learning_rate": 5.331578947368421e-07,
|
| 1433 |
+
"loss": 0.8794,
|
| 1434 |
+
"step": 199
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 0.039219531326600644,
|
| 1438 |
+
"grad_norm": 20.123004913330078,
|
| 1439 |
+
"learning_rate": 0.0,
|
| 1440 |
+
"loss": 1.5286,
|
| 1441 |
+
"step": 200
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 0.039219531326600644,
|
| 1445 |
+
"eval_loss": 0.39835089445114136,
|
| 1446 |
+
"eval_runtime": 243.2048,
|
| 1447 |
+
"eval_samples_per_second": 8.832,
|
| 1448 |
+
"eval_steps_per_second": 2.208,
|
| 1449 |
+
"step": 200
|
| 1450 |
}
|
| 1451 |
],
|
| 1452 |
"logging_steps": 1,
|
|
|
|
| 1470 |
"should_evaluate": false,
|
| 1471 |
"should_log": false,
|
| 1472 |
"should_save": true,
|
| 1473 |
+
"should_training_stop": true
|
| 1474 |
},
|
| 1475 |
"attributes": {}
|
| 1476 |
}
|
| 1477 |
},
|
| 1478 |
+
"total_flos": 7.56641048863703e+16,
|
| 1479 |
"train_batch_size": 4,
|
| 1480 |
"trial_name": null,
|
| 1481 |
"trial_params": null
|