Upload folder using huggingface_hub
Browse files- model.safetensors +1 -1
- optimizer.pt +1 -1
- scheduler.pt +1 -1
- trainer_state.json +603 -3
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1615784368
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c97e63770e3735813765be2c9ba1d4ed42ce9f6d5cb1fe6436b55911b8fb122a
|
| 3 |
size 1615784368
|
optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3231643962
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1065d6ac0bb1bbe0b5d374b2d9de7bd167bcfd8d9ab60bcd6fb1e468ea7dc8c8
|
| 3 |
size 3231643962
|
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:da2ce3420af021e22f607bef056bacad267b44e24aab62c3270b61d3493433c9
|
| 3 |
size 1064
|
trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 1.
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -1207,6 +1207,606 @@
|
|
| 1207 |
"learning_rate": 0.0003799519807923169,
|
| 1208 |
"loss": 1.9875,
|
| 1209 |
"step": 1000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1210 |
}
|
| 1211 |
],
|
| 1212 |
"logging_steps": 5,
|
|
@@ -1214,7 +1814,7 @@
|
|
| 1214 |
"num_input_tokens_seen": 0,
|
| 1215 |
"num_train_epochs": 5,
|
| 1216 |
"save_steps": 500,
|
| 1217 |
-
"total_flos":
|
| 1218 |
"train_batch_size": 8,
|
| 1219 |
"trial_name": null,
|
| 1220 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.8,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 1500,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 1207 |
"learning_rate": 0.0003799519807923169,
|
| 1208 |
"loss": 1.9875,
|
| 1209 |
"step": 1000
|
| 1210 |
+
},
|
| 1211 |
+
{
|
| 1212 |
+
"epoch": 1.21,
|
| 1213 |
+
"learning_rate": 0.00037935174069627856,
|
| 1214 |
+
"loss": 2.0543,
|
| 1215 |
+
"step": 1005
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 1.21,
|
| 1219 |
+
"learning_rate": 0.0003787515006002401,
|
| 1220 |
+
"loss": 2.1018,
|
| 1221 |
+
"step": 1010
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 1.22,
|
| 1225 |
+
"learning_rate": 0.00037815126050420167,
|
| 1226 |
+
"loss": 2.1016,
|
| 1227 |
+
"step": 1015
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 1.22,
|
| 1231 |
+
"learning_rate": 0.00037755102040816323,
|
| 1232 |
+
"loss": 2.0779,
|
| 1233 |
+
"step": 1020
|
| 1234 |
+
},
|
| 1235 |
+
{
|
| 1236 |
+
"epoch": 1.23,
|
| 1237 |
+
"learning_rate": 0.0003769507803121249,
|
| 1238 |
+
"loss": 2.1172,
|
| 1239 |
+
"step": 1025
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 1.24,
|
| 1243 |
+
"learning_rate": 0.00037635054021608645,
|
| 1244 |
+
"loss": 2.0815,
|
| 1245 |
+
"step": 1030
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 1.24,
|
| 1249 |
+
"learning_rate": 0.000375750300120048,
|
| 1250 |
+
"loss": 2.0598,
|
| 1251 |
+
"step": 1035
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 1.25,
|
| 1255 |
+
"learning_rate": 0.00037515006002400956,
|
| 1256 |
+
"loss": 2.0456,
|
| 1257 |
+
"step": 1040
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 1.25,
|
| 1261 |
+
"learning_rate": 0.00037454981992797123,
|
| 1262 |
+
"loss": 2.1081,
|
| 1263 |
+
"step": 1045
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 1.26,
|
| 1267 |
+
"learning_rate": 0.0003739495798319328,
|
| 1268 |
+
"loss": 2.0235,
|
| 1269 |
+
"step": 1050
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 1.27,
|
| 1273 |
+
"learning_rate": 0.00037334933973589434,
|
| 1274 |
+
"loss": 2.0866,
|
| 1275 |
+
"step": 1055
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 1.27,
|
| 1279 |
+
"learning_rate": 0.0003727490996398559,
|
| 1280 |
+
"loss": 2.0599,
|
| 1281 |
+
"step": 1060
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 1.28,
|
| 1285 |
+
"learning_rate": 0.00037214885954381757,
|
| 1286 |
+
"loss": 2.0281,
|
| 1287 |
+
"step": 1065
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 1.28,
|
| 1291 |
+
"learning_rate": 0.0003715486194477791,
|
| 1292 |
+
"loss": 2.0481,
|
| 1293 |
+
"step": 1070
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 1.29,
|
| 1297 |
+
"learning_rate": 0.0003709483793517407,
|
| 1298 |
+
"loss": 2.0223,
|
| 1299 |
+
"step": 1075
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 1.3,
|
| 1303 |
+
"learning_rate": 0.0003703481392557023,
|
| 1304 |
+
"loss": 2.0303,
|
| 1305 |
+
"step": 1080
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 1.3,
|
| 1309 |
+
"learning_rate": 0.0003697478991596639,
|
| 1310 |
+
"loss": 2.13,
|
| 1311 |
+
"step": 1085
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 1.31,
|
| 1315 |
+
"learning_rate": 0.00036914765906362546,
|
| 1316 |
+
"loss": 2.1372,
|
| 1317 |
+
"step": 1090
|
| 1318 |
+
},
|
| 1319 |
+
{
|
| 1320 |
+
"epoch": 1.31,
|
| 1321 |
+
"learning_rate": 0.000368547418967587,
|
| 1322 |
+
"loss": 2.0192,
|
| 1323 |
+
"step": 1095
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"epoch": 1.32,
|
| 1327 |
+
"learning_rate": 0.00036794717887154863,
|
| 1328 |
+
"loss": 2.0754,
|
| 1329 |
+
"step": 1100
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 1.33,
|
| 1333 |
+
"learning_rate": 0.00036734693877551024,
|
| 1334 |
+
"loss": 2.123,
|
| 1335 |
+
"step": 1105
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 1.33,
|
| 1339 |
+
"learning_rate": 0.0003667466986794718,
|
| 1340 |
+
"loss": 2.0884,
|
| 1341 |
+
"step": 1110
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 1.34,
|
| 1345 |
+
"learning_rate": 0.00036614645858343335,
|
| 1346 |
+
"loss": 2.0835,
|
| 1347 |
+
"step": 1115
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 1.34,
|
| 1351 |
+
"learning_rate": 0.00036554621848739496,
|
| 1352 |
+
"loss": 2.0276,
|
| 1353 |
+
"step": 1120
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 1.35,
|
| 1357 |
+
"learning_rate": 0.0003649459783913566,
|
| 1358 |
+
"loss": 2.0106,
|
| 1359 |
+
"step": 1125
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"epoch": 1.36,
|
| 1363 |
+
"learning_rate": 0.00036434573829531813,
|
| 1364 |
+
"loss": 1.9971,
|
| 1365 |
+
"step": 1130
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 1.36,
|
| 1369 |
+
"learning_rate": 0.0003637454981992797,
|
| 1370 |
+
"loss": 1.9734,
|
| 1371 |
+
"step": 1135
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 1.37,
|
| 1375 |
+
"learning_rate": 0.0003631452581032413,
|
| 1376 |
+
"loss": 2.0989,
|
| 1377 |
+
"step": 1140
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 1.37,
|
| 1381 |
+
"learning_rate": 0.0003625450180072029,
|
| 1382 |
+
"loss": 2.0539,
|
| 1383 |
+
"step": 1145
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 1.38,
|
| 1387 |
+
"learning_rate": 0.00036194477791116447,
|
| 1388 |
+
"loss": 1.9613,
|
| 1389 |
+
"step": 1150
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 1.39,
|
| 1393 |
+
"learning_rate": 0.000361344537815126,
|
| 1394 |
+
"loss": 2.0324,
|
| 1395 |
+
"step": 1155
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 1.39,
|
| 1399 |
+
"learning_rate": 0.00036074429771908764,
|
| 1400 |
+
"loss": 2.0144,
|
| 1401 |
+
"step": 1160
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 1.4,
|
| 1405 |
+
"learning_rate": 0.00036014405762304925,
|
| 1406 |
+
"loss": 2.0124,
|
| 1407 |
+
"step": 1165
|
| 1408 |
+
},
|
| 1409 |
+
{
|
| 1410 |
+
"epoch": 1.4,
|
| 1411 |
+
"learning_rate": 0.0003595438175270108,
|
| 1412 |
+
"loss": 2.0638,
|
| 1413 |
+
"step": 1170
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 1.41,
|
| 1417 |
+
"learning_rate": 0.00035894357743097236,
|
| 1418 |
+
"loss": 2.0049,
|
| 1419 |
+
"step": 1175
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 1.42,
|
| 1423 |
+
"learning_rate": 0.000358343337334934,
|
| 1424 |
+
"loss": 2.0731,
|
| 1425 |
+
"step": 1180
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 1.42,
|
| 1429 |
+
"learning_rate": 0.0003577430972388956,
|
| 1430 |
+
"loss": 2.0804,
|
| 1431 |
+
"step": 1185
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 1.43,
|
| 1435 |
+
"learning_rate": 0.00035714285714285714,
|
| 1436 |
+
"loss": 2.0652,
|
| 1437 |
+
"step": 1190
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 1.43,
|
| 1441 |
+
"learning_rate": 0.00035654261704681875,
|
| 1442 |
+
"loss": 1.9836,
|
| 1443 |
+
"step": 1195
|
| 1444 |
+
},
|
| 1445 |
+
{
|
| 1446 |
+
"epoch": 1.44,
|
| 1447 |
+
"learning_rate": 0.0003559423769507803,
|
| 1448 |
+
"loss": 2.0288,
|
| 1449 |
+
"step": 1200
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 1.45,
|
| 1453 |
+
"learning_rate": 0.0003553421368547419,
|
| 1454 |
+
"loss": 1.9811,
|
| 1455 |
+
"step": 1205
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 1.45,
|
| 1459 |
+
"learning_rate": 0.0003547418967587035,
|
| 1460 |
+
"loss": 1.9923,
|
| 1461 |
+
"step": 1210
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 1.46,
|
| 1465 |
+
"learning_rate": 0.0003541416566626651,
|
| 1466 |
+
"loss": 2.0066,
|
| 1467 |
+
"step": 1215
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"epoch": 1.46,
|
| 1471 |
+
"learning_rate": 0.00035354141656662665,
|
| 1472 |
+
"loss": 1.992,
|
| 1473 |
+
"step": 1220
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 1.47,
|
| 1477 |
+
"learning_rate": 0.00035294117647058826,
|
| 1478 |
+
"loss": 2.0675,
|
| 1479 |
+
"step": 1225
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 1.48,
|
| 1483 |
+
"learning_rate": 0.0003523409363745498,
|
| 1484 |
+
"loss": 2.0066,
|
| 1485 |
+
"step": 1230
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 1.48,
|
| 1489 |
+
"learning_rate": 0.0003517406962785114,
|
| 1490 |
+
"loss": 2.0111,
|
| 1491 |
+
"step": 1235
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 1.49,
|
| 1495 |
+
"learning_rate": 0.000351140456182473,
|
| 1496 |
+
"loss": 1.9843,
|
| 1497 |
+
"step": 1240
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 1.49,
|
| 1501 |
+
"learning_rate": 0.0003505402160864346,
|
| 1502 |
+
"loss": 2.0322,
|
| 1503 |
+
"step": 1245
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"epoch": 1.5,
|
| 1507 |
+
"learning_rate": 0.00034993997599039615,
|
| 1508 |
+
"loss": 2.0266,
|
| 1509 |
+
"step": 1250
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"epoch": 1.51,
|
| 1513 |
+
"learning_rate": 0.00034933973589435776,
|
| 1514 |
+
"loss": 2.0346,
|
| 1515 |
+
"step": 1255
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 1.51,
|
| 1519 |
+
"learning_rate": 0.0003487394957983193,
|
| 1520 |
+
"loss": 1.9676,
|
| 1521 |
+
"step": 1260
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 1.52,
|
| 1525 |
+
"learning_rate": 0.00034813925570228093,
|
| 1526 |
+
"loss": 2.0872,
|
| 1527 |
+
"step": 1265
|
| 1528 |
+
},
|
| 1529 |
+
{
|
| 1530 |
+
"epoch": 1.52,
|
| 1531 |
+
"learning_rate": 0.0003475390156062425,
|
| 1532 |
+
"loss": 1.9265,
|
| 1533 |
+
"step": 1270
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"epoch": 1.53,
|
| 1537 |
+
"learning_rate": 0.0003469387755102041,
|
| 1538 |
+
"loss": 2.0074,
|
| 1539 |
+
"step": 1275
|
| 1540 |
+
},
|
| 1541 |
+
{
|
| 1542 |
+
"epoch": 1.54,
|
| 1543 |
+
"learning_rate": 0.00034633853541416566,
|
| 1544 |
+
"loss": 2.0108,
|
| 1545 |
+
"step": 1280
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 1.54,
|
| 1549 |
+
"learning_rate": 0.00034573829531812727,
|
| 1550 |
+
"loss": 1.9766,
|
| 1551 |
+
"step": 1285
|
| 1552 |
+
},
|
| 1553 |
+
{
|
| 1554 |
+
"epoch": 1.55,
|
| 1555 |
+
"learning_rate": 0.0003451380552220889,
|
| 1556 |
+
"loss": 1.9319,
|
| 1557 |
+
"step": 1290
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 1.55,
|
| 1561 |
+
"learning_rate": 0.00034453781512605044,
|
| 1562 |
+
"loss": 2.0803,
|
| 1563 |
+
"step": 1295
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 1.56,
|
| 1567 |
+
"learning_rate": 0.000343937575030012,
|
| 1568 |
+
"loss": 2.0196,
|
| 1569 |
+
"step": 1300
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 1.57,
|
| 1573 |
+
"learning_rate": 0.0003433373349339736,
|
| 1574 |
+
"loss": 2.0166,
|
| 1575 |
+
"step": 1305
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 1.57,
|
| 1579 |
+
"learning_rate": 0.0003427370948379352,
|
| 1580 |
+
"loss": 2.0094,
|
| 1581 |
+
"step": 1310
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 1.58,
|
| 1585 |
+
"learning_rate": 0.0003421368547418968,
|
| 1586 |
+
"loss": 1.9954,
|
| 1587 |
+
"step": 1315
|
| 1588 |
+
},
|
| 1589 |
+
{
|
| 1590 |
+
"epoch": 1.58,
|
| 1591 |
+
"learning_rate": 0.00034153661464585833,
|
| 1592 |
+
"loss": 1.9782,
|
| 1593 |
+
"step": 1320
|
| 1594 |
+
},
|
| 1595 |
+
{
|
| 1596 |
+
"epoch": 1.59,
|
| 1597 |
+
"learning_rate": 0.00034093637454981994,
|
| 1598 |
+
"loss": 2.0126,
|
| 1599 |
+
"step": 1325
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 1.6,
|
| 1603 |
+
"learning_rate": 0.00034033613445378155,
|
| 1604 |
+
"loss": 1.9949,
|
| 1605 |
+
"step": 1330
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 1.6,
|
| 1609 |
+
"learning_rate": 0.0003397358943577431,
|
| 1610 |
+
"loss": 1.9744,
|
| 1611 |
+
"step": 1335
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 1.61,
|
| 1615 |
+
"learning_rate": 0.00033913565426170467,
|
| 1616 |
+
"loss": 2.0246,
|
| 1617 |
+
"step": 1340
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"epoch": 1.61,
|
| 1621 |
+
"learning_rate": 0.0003385354141656663,
|
| 1622 |
+
"loss": 1.9461,
|
| 1623 |
+
"step": 1345
|
| 1624 |
+
},
|
| 1625 |
+
{
|
| 1626 |
+
"epoch": 1.62,
|
| 1627 |
+
"learning_rate": 0.0003379351740696279,
|
| 1628 |
+
"loss": 1.9792,
|
| 1629 |
+
"step": 1350
|
| 1630 |
+
},
|
| 1631 |
+
{
|
| 1632 |
+
"epoch": 1.63,
|
| 1633 |
+
"learning_rate": 0.00033733493397358945,
|
| 1634 |
+
"loss": 1.9813,
|
| 1635 |
+
"step": 1355
|
| 1636 |
+
},
|
| 1637 |
+
{
|
| 1638 |
+
"epoch": 1.63,
|
| 1639 |
+
"learning_rate": 0.000336734693877551,
|
| 1640 |
+
"loss": 2.0243,
|
| 1641 |
+
"step": 1360
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 1.64,
|
| 1645 |
+
"learning_rate": 0.0003361344537815126,
|
| 1646 |
+
"loss": 1.9371,
|
| 1647 |
+
"step": 1365
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 1.64,
|
| 1651 |
+
"learning_rate": 0.0003355342136854742,
|
| 1652 |
+
"loss": 2.0438,
|
| 1653 |
+
"step": 1370
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 1.65,
|
| 1657 |
+
"learning_rate": 0.0003349339735894358,
|
| 1658 |
+
"loss": 1.9632,
|
| 1659 |
+
"step": 1375
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 1.66,
|
| 1663 |
+
"learning_rate": 0.00033433373349339734,
|
| 1664 |
+
"loss": 2.0137,
|
| 1665 |
+
"step": 1380
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 1.66,
|
| 1669 |
+
"learning_rate": 0.000333733493397359,
|
| 1670 |
+
"loss": 1.9849,
|
| 1671 |
+
"step": 1385
|
| 1672 |
+
},
|
| 1673 |
+
{
|
| 1674 |
+
"epoch": 1.67,
|
| 1675 |
+
"learning_rate": 0.00033313325330132056,
|
| 1676 |
+
"loss": 1.9578,
|
| 1677 |
+
"step": 1390
|
| 1678 |
+
},
|
| 1679 |
+
{
|
| 1680 |
+
"epoch": 1.67,
|
| 1681 |
+
"learning_rate": 0.0003325330132052821,
|
| 1682 |
+
"loss": 1.942,
|
| 1683 |
+
"step": 1395
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 1.68,
|
| 1687 |
+
"learning_rate": 0.0003319327731092437,
|
| 1688 |
+
"loss": 1.9424,
|
| 1689 |
+
"step": 1400
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 1.69,
|
| 1693 |
+
"learning_rate": 0.0003313325330132053,
|
| 1694 |
+
"loss": 2.0015,
|
| 1695 |
+
"step": 1405
|
| 1696 |
+
},
|
| 1697 |
+
{
|
| 1698 |
+
"epoch": 1.69,
|
| 1699 |
+
"learning_rate": 0.0003307322929171669,
|
| 1700 |
+
"loss": 2.0385,
|
| 1701 |
+
"step": 1410
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 1.7,
|
| 1705 |
+
"learning_rate": 0.00033013205282112846,
|
| 1706 |
+
"loss": 2.019,
|
| 1707 |
+
"step": 1415
|
| 1708 |
+
},
|
| 1709 |
+
{
|
| 1710 |
+
"epoch": 1.7,
|
| 1711 |
+
"learning_rate": 0.00032953181272509,
|
| 1712 |
+
"loss": 1.99,
|
| 1713 |
+
"step": 1420
|
| 1714 |
+
},
|
| 1715 |
+
{
|
| 1716 |
+
"epoch": 1.71,
|
| 1717 |
+
"learning_rate": 0.0003289315726290516,
|
| 1718 |
+
"loss": 1.9583,
|
| 1719 |
+
"step": 1425
|
| 1720 |
+
},
|
| 1721 |
+
{
|
| 1722 |
+
"epoch": 1.72,
|
| 1723 |
+
"learning_rate": 0.00032833133253301324,
|
| 1724 |
+
"loss": 1.9645,
|
| 1725 |
+
"step": 1430
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 1.72,
|
| 1729 |
+
"learning_rate": 0.0003277310924369748,
|
| 1730 |
+
"loss": 2.0095,
|
| 1731 |
+
"step": 1435
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 1.73,
|
| 1735 |
+
"learning_rate": 0.00032713085234093635,
|
| 1736 |
+
"loss": 1.9755,
|
| 1737 |
+
"step": 1440
|
| 1738 |
+
},
|
| 1739 |
+
{
|
| 1740 |
+
"epoch": 1.73,
|
| 1741 |
+
"learning_rate": 0.00032653061224489796,
|
| 1742 |
+
"loss": 1.8859,
|
| 1743 |
+
"step": 1445
|
| 1744 |
+
},
|
| 1745 |
+
{
|
| 1746 |
+
"epoch": 1.74,
|
| 1747 |
+
"learning_rate": 0.00032593037214885957,
|
| 1748 |
+
"loss": 1.9807,
|
| 1749 |
+
"step": 1450
|
| 1750 |
+
},
|
| 1751 |
+
{
|
| 1752 |
+
"epoch": 1.75,
|
| 1753 |
+
"learning_rate": 0.00032533013205282113,
|
| 1754 |
+
"loss": 1.9688,
|
| 1755 |
+
"step": 1455
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"epoch": 1.75,
|
| 1759 |
+
"learning_rate": 0.0003247298919567827,
|
| 1760 |
+
"loss": 1.9898,
|
| 1761 |
+
"step": 1460
|
| 1762 |
+
},
|
| 1763 |
+
{
|
| 1764 |
+
"epoch": 1.76,
|
| 1765 |
+
"learning_rate": 0.0003241296518607443,
|
| 1766 |
+
"loss": 1.9136,
|
| 1767 |
+
"step": 1465
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 1.76,
|
| 1771 |
+
"learning_rate": 0.0003235294117647059,
|
| 1772 |
+
"loss": 1.9058,
|
| 1773 |
+
"step": 1470
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 1.77,
|
| 1777 |
+
"learning_rate": 0.00032292917166866747,
|
| 1778 |
+
"loss": 2.001,
|
| 1779 |
+
"step": 1475
|
| 1780 |
+
},
|
| 1781 |
+
{
|
| 1782 |
+
"epoch": 1.78,
|
| 1783 |
+
"learning_rate": 0.000322328931572629,
|
| 1784 |
+
"loss": 1.9529,
|
| 1785 |
+
"step": 1480
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 1.78,
|
| 1789 |
+
"learning_rate": 0.00032172869147659063,
|
| 1790 |
+
"loss": 1.9859,
|
| 1791 |
+
"step": 1485
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"epoch": 1.79,
|
| 1795 |
+
"learning_rate": 0.00032112845138055224,
|
| 1796 |
+
"loss": 1.9973,
|
| 1797 |
+
"step": 1490
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"epoch": 1.79,
|
| 1801 |
+
"learning_rate": 0.0003205282112845138,
|
| 1802 |
+
"loss": 1.9371,
|
| 1803 |
+
"step": 1495
|
| 1804 |
+
},
|
| 1805 |
+
{
|
| 1806 |
+
"epoch": 1.8,
|
| 1807 |
+
"learning_rate": 0.0003199279711884754,
|
| 1808 |
+
"loss": 1.949,
|
| 1809 |
+
"step": 1500
|
| 1810 |
}
|
| 1811 |
],
|
| 1812 |
"logging_steps": 5,
|
|
|
|
| 1814 |
"num_input_tokens_seen": 0,
|
| 1815 |
"num_train_epochs": 5,
|
| 1816 |
"save_steps": 500,
|
| 1817 |
+
"total_flos": 2.968978939416576e+16,
|
| 1818 |
"train_batch_size": 8,
|
| 1819 |
"trial_name": null,
|
| 1820 |
"trial_params": null
|