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rkoh
/
setfit-bert

Text Classification
setfit
Safetensors
sentence-transformers
bert
generated_from_setfit_trainer
Model card Files Community
rkoh commited on
Commit
17ef39e
·
verified ·
1 Parent(s): a50119d

Add SetFit model

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Files changed (4) hide show
  1. README.md +637 -1382
  2. config_setfit.json +8 -2
  3. model.safetensors +1 -1
  4. model_head.pkl +1 -1
README.md CHANGED
@@ -89,7 +89,7 @@ The model has been trained using an efficient few-shot learning technique that i
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  <!-- - **Sentence Transformer:** [Unknown](https://huggingface.co/unknown) -->
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  - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
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  - **Maximum Sequence Length:** 512 tokens
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- - **Number of Classes:** 1000 classes
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  <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
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  <!-- - **Language:** Unknown -->
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  <!-- - **License:** Unknown -->
@@ -150,1018 +150,23 @@ preds = model("(Repealed). Author: Michael E. Mason, CPA")
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  ### Training Set Metrics
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  | Training set | Min | Median | Max |
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  |:-------------|:----------|:-----------------|:--------------|
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- | Word count | tensor(1) | tensor(350.0160) | tensor(29510) |
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- | Label | Training Sample Count |
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- |:----------|:----------------------|
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1110
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1111
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1112
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1113
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1114
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1115
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1116
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1117
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1118
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1119
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1120
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1121
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1122
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1123
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1124
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1125
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1126
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1127
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1128
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1129
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1130
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1131
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1132
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1133
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1134
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1135
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1136
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1137
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1138
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1139
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1140
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1141
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1142
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1144
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1145
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1146
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1147
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1148
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1149
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1150
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1151
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1153
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1154
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1155
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1156
- | tensor(4) | 1 |
1157
 
1158
  ### Training Hyperparameters
1159
  - batch_size: (32, 32)
1160
- - num_epochs: (3, 3)
1161
  - max_steps: -1
1162
  - sampling_strategy: oversampling
1163
  - num_iterations: 20
1164
- - body_learning_rate: (2e-05, 2e-05)
1165
  - head_learning_rate: 0.01
1166
  - loss: CosineSimilarityLoss
1167
  - distance_metric: cosine_distance
@@ -1177,382 +182,632 @@ preds = model("(Repealed). Author: Michael E. Mason, CPA")
1177
  ### Training Results
1178
  | Epoch | Step | Training Loss | Validation Loss |
1179
  |:------:|:----:|:-------------:|:---------------:|
1180
- | 0.0008 | 1 | 0.0641 | - |
1181
- | 0.008 | 10 | 0.0831 | - |
1182
- | 0.016 | 20 | 0.0955 | - |
1183
- | 0.024 | 30 | 0.08 | - |
1184
- | 0.032 | 40 | 0.0729 | - |
1185
- | 0.04 | 50 | 0.063 | - |
1186
- | 0.048 | 60 | 0.0581 | - |
1187
- | 0.056 | 70 | 0.0622 | - |
1188
- | 0.064 | 80 | 0.0432 | - |
1189
- | 0.072 | 90 | 0.032 | - |
1190
- | 0.08 | 100 | 0.0381 | - |
1191
- | 0.088 | 110 | 0.0423 | - |
1192
- | 0.096 | 120 | 0.0312 | - |
1193
- | 0.104 | 130 | 0.0289 | - |
1194
- | 0.112 | 140 | 0.0487 | - |
1195
- | 0.12 | 150 | 0.0346 | - |
1196
- | 0.128 | 160 | 0.0185 | - |
1197
- | 0.136 | 170 | 0.0319 | - |
1198
- | 0.144 | 180 | 0.0168 | - |
1199
- | 0.152 | 190 | 0.0223 | - |
1200
- | 0.16 | 200 | 0.0144 | - |
1201
- | 0.168 | 210 | 0.0089 | - |
1202
- | 0.176 | 220 | 0.0161 | - |
1203
- | 0.184 | 230 | 0.0047 | - |
1204
- | 0.192 | 240 | 0.0066 | - |
1205
- | 0.2 | 250 | 0.0202 | - |
1206
- | 0.208 | 260 | 0.0062 | - |
1207
- | 0.216 | 270 | 0.0031 | - |
1208
- | 0.224 | 280 | 0.012 | - |
1209
- | 0.232 | 290 | 0.0023 | - |
1210
- | 0.24 | 300 | 0.0016 | - |
1211
- | 0.248 | 310 | 0.0195 | - |
1212
- | 0.256 | 320 | 0.0045 | - |
1213
- | 0.264 | 330 | 0.0092 | - |
1214
- | 0.272 | 340 | 0.0055 | - |
1215
- | 0.28 | 350 | 0.0025 | - |
1216
- | 0.288 | 360 | 0.001 | - |
1217
- | 0.296 | 370 | 0.0044 | - |
1218
- | 0.304 | 380 | 0.0073 | - |
1219
- | 0.312 | 390 | 0.0054 | - |
1220
- | 0.32 | 400 | 0.0009 | - |
1221
- | 0.328 | 410 | 0.0006 | - |
1222
- | 0.336 | 420 | 0.0037 | - |
1223
- | 0.344 | 430 | 0.001 | - |
1224
- | 0.352 | 440 | 0.0009 | - |
1225
- | 0.36 | 450 | 0.005 | - |
1226
- | 0.368 | 460 | 0.0036 | - |
1227
- | 0.376 | 470 | 0.0042 | - |
1228
- | 0.384 | 480 | 0.0006 | - |
1229
- | 0.392 | 490 | 0.0017 | - |
1230
- | 0.4 | 500 | 0.0079 | - |
1231
- | 0.408 | 510 | 0.0015 | - |
1232
- | 0.416 | 520 | 0.001 | - |
1233
- | 0.424 | 530 | 0.0005 | - |
1234
- | 0.432 | 540 | 0.0009 | - |
1235
- | 0.44 | 550 | 0.0002 | - |
1236
- | 0.448 | 560 | 0.0034 | - |
1237
- | 0.456 | 570 | 0.0002 | - |
1238
- | 0.464 | 580 | 0.0035 | - |
1239
- | 0.472 | 590 | 0.0002 | - |
1240
- | 0.48 | 600 | 0.0003 | - |
1241
- | 0.488 | 610 | 0.0003 | - |
1242
- | 0.496 | 620 | 0.0002 | - |
1243
- | 0.504 | 630 | 0.0034 | - |
1244
- | 0.512 | 640 | 0.0033 | - |
1245
- | 0.52 | 650 | 0.0029 | - |
1246
- | 0.528 | 660 | 0.0002 | - |
1247
- | 0.536 | 670 | 0.0002 | - |
1248
- | 0.544 | 680 | 0.0051 | - |
1249
- | 0.552 | 690 | 0.0028 | - |
1250
- | 0.56 | 700 | 0.0023 | - |
1251
- | 0.568 | 710 | 0.0003 | - |
1252
- | 0.576 | 720 | 0.0003 | - |
1253
- | 0.584 | 730 | 0.0004 | - |
1254
- | 0.592 | 740 | 0.0001 | - |
1255
- | 0.6 | 750 | 0.0018 | - |
1256
- | 0.608 | 760 | 0.0007 | - |
1257
- | 0.616 | 770 | 0.0006 | - |
1258
- | 0.624 | 780 | 0.0025 | - |
1259
- | 0.632 | 790 | 0.0006 | - |
1260
- | 0.64 | 800 | 0.0002 | - |
1261
- | 0.648 | 810 | 0.0001 | - |
1262
- | 0.656 | 820 | 0.0002 | - |
1263
- | 0.664 | 830 | 0.0033 | - |
1264
- | 0.672 | 840 | 0.0003 | - |
1265
- | 0.68 | 850 | 0.0002 | - |
1266
- | 0.688 | 860 | 0.0001 | - |
1267
- | 0.696 | 870 | 0.0029 | - |
1268
- | 0.704 | 880 | 0.0001 | - |
1269
- | 0.712 | 890 | 0.0002 | - |
1270
- | 0.72 | 900 | 0.0001 | - |
1271
- | 0.728 | 910 | 0.0001 | - |
1272
- | 0.736 | 920 | 0.0002 | - |
1273
- | 0.744 | 930 | 0.0038 | - |
1274
- | 0.752 | 940 | 0.0032 | - |
1275
- | 0.76 | 950 | 0.0007 | - |
1276
- | 0.768 | 960 | 0.0002 | - |
1277
- | 0.776 | 970 | 0.0021 | - |
1278
- | 0.784 | 980 | 0.0008 | - |
1279
- | 0.792 | 990 | 0.0003 | - |
1280
- | 0.8 | 1000 | 0.0002 | - |
1281
- | 0.808 | 1010 | 0.0001 | - |
1282
- | 0.816 | 1020 | 0.0001 | - |
1283
- | 0.824 | 1030 | 0.0002 | - |
1284
- | 0.832 | 1040 | 0.0002 | - |
1285
- | 0.84 | 1050 | 0.0002 | - |
1286
- | 0.848 | 1060 | 0.0026 | - |
1287
- | 0.856 | 1070 | 0.0001 | - |
1288
- | 0.864 | 1080 | 0.0001 | - |
1289
- | 0.872 | 1090 | 0.0001 | - |
1290
- | 0.88 | 1100 | 0.0001 | - |
1291
- | 0.888 | 1110 | 0.0001 | - |
1292
- | 0.896 | 1120 | 0.0001 | - |
1293
- | 0.904 | 1130 | 0.0001 | - |
1294
- | 0.912 | 1140 | 0.0001 | - |
1295
- | 0.92 | 1150 | 0.0001 | - |
1296
- | 0.928 | 1160 | 0.0001 | - |
1297
- | 0.936 | 1170 | 0.0001 | - |
1298
- | 0.944 | 1180 | 0.0001 | - |
1299
- | 0.952 | 1190 | 0.0001 | - |
1300
- | 0.96 | 1200 | 0.0001 | - |
1301
- | 0.968 | 1210 | 0.0001 | - |
1302
- | 0.976 | 1220 | 0.0001 | - |
1303
- | 0.984 | 1230 | 0.0029 | - |
1304
- | 0.992 | 1240 | 0.0001 | - |
1305
- | 1.0 | 1250 | 0.0001 | 0.0290 |
1306
- | 1.008 | 1260 | 0.0001 | - |
1307
- | 1.016 | 1270 | 0.0001 | - |
1308
- | 1.024 | 1280 | 0.0033 | - |
1309
- | 1.032 | 1290 | 0.0001 | - |
1310
- | 1.04 | 1300 | 0.0002 | - |
1311
- | 1.048 | 1310 | 0.0001 | - |
1312
- | 1.056 | 1320 | 0.0001 | - |
1313
- | 1.064 | 1330 | 0.0001 | - |
1314
- | 1.072 | 1340 | 0.0001 | - |
1315
- | 1.08 | 1350 | 0.0001 | - |
1316
- | 1.088 | 1360 | 0.0001 | - |
1317
- | 1.096 | 1370 | 0.0001 | - |
1318
- | 1.104 | 1380 | 0.0001 | - |
1319
- | 1.112 | 1390 | 0.0001 | - |
1320
- | 1.12 | 1400 | 0.0019 | - |
1321
- | 1.1280 | 1410 | 0.0002 | - |
1322
- | 1.1360 | 1420 | 0.0001 | - |
1323
- | 1.144 | 1430 | 0.0007 | - |
1324
- | 1.152 | 1440 | 0.0001 | - |
1325
- | 1.16 | 1450 | 0.0001 | - |
1326
- | 1.168 | 1460 | 0.0002 | - |
1327
- | 1.176 | 1470 | 0.0001 | - |
1328
- | 1.184 | 1480 | 0.0001 | - |
1329
- | 1.192 | 1490 | 0.0001 | - |
1330
- | 1.2 | 1500 | 0.0001 | - |
1331
- | 1.208 | 1510 | 0.0001 | - |
1332
- | 1.216 | 1520 | 0.0001 | - |
1333
- | 1.224 | 1530 | 0.0001 | - |
1334
- | 1.232 | 1540 | 0.0001 | - |
1335
- | 1.24 | 1550 | 0.0 | - |
1336
- | 1.248 | 1560 | 0.0001 | - |
1337
- | 1.256 | 1570 | 0.0 | - |
1338
- | 1.264 | 1580 | 0.0001 | - |
1339
- | 1.272 | 1590 | 0.0001 | - |
1340
- | 1.28 | 1600 | 0.0001 | - |
1341
- | 1.288 | 1610 | 0.0001 | - |
1342
- | 1.296 | 1620 | 0.0001 | - |
1343
- | 1.304 | 1630 | 0.0 | - |
1344
- | 1.312 | 1640 | 0.0001 | - |
1345
- | 1.32 | 1650 | 0.0001 | - |
1346
- | 1.328 | 1660 | 0.0 | - |
1347
- | 1.336 | 1670 | 0.0001 | - |
1348
- | 1.3440 | 1680 | 0.0001 | - |
1349
- | 1.3520 | 1690 | 0.0 | - |
1350
- | 1.3600 | 1700 | 0.0001 | - |
1351
- | 1.3680 | 1710 | 0.0 | - |
1352
- | 1.376 | 1720 | 0.0 | - |
1353
- | 1.384 | 1730 | 0.0001 | - |
1354
- | 1.392 | 1740 | 0.0 | - |
1355
- | 1.4 | 1750 | 0.0001 | - |
1356
- | 1.408 | 1760 | 0.0001 | - |
1357
- | 1.416 | 1770 | 0.0 | - |
1358
- | 1.424 | 1780 | 0.0001 | - |
1359
- | 1.432 | 1790 | 0.0001 | - |
1360
- | 1.44 | 1800 | 0.0001 | - |
1361
- | 1.448 | 1810 | 0.0001 | - |
1362
- | 1.456 | 1820 | 0.0001 | - |
1363
- | 1.464 | 1830 | 0.0001 | - |
1364
- | 1.472 | 1840 | 0.0 | - |
1365
- | 1.48 | 1850 | 0.0 | - |
1366
- | 1.488 | 1860 | 0.0001 | - |
1367
- | 1.496 | 1870 | 0.0001 | - |
1368
- | 1.504 | 1880 | 0.0 | - |
1369
- | 1.512 | 1890 | 0.0 | - |
1370
- | 1.52 | 1900 | 0.0001 | - |
1371
- | 1.528 | 1910 | 0.0001 | - |
1372
- | 1.536 | 1920 | 0.0001 | - |
1373
- | 1.544 | 1930 | 0.0 | - |
1374
- | 1.552 | 1940 | 0.0 | - |
1375
- | 1.56 | 1950 | 0.0001 | - |
1376
- | 1.568 | 1960 | 0.0001 | - |
1377
- | 1.576 | 1970 | 0.0001 | - |
1378
- | 1.584 | 1980 | 0.0 | - |
1379
- | 1.592 | 1990 | 0.0 | - |
1380
- | 1.6 | 2000 | 0.0 | - |
1381
- | 1.608 | 2010 | 0.0 | - |
1382
- | 1.616 | 2020 | 0.0 | - |
1383
- | 1.624 | 2030 | 0.0 | - |
1384
- | 1.6320 | 2040 | 0.0001 | - |
1385
- | 1.6400 | 2050 | 0.0 | - |
1386
- | 1.6480 | 2060 | 0.0 | - |
1387
- | 1.6560 | 2070 | 0.0 | - |
1388
- | 1.6640 | 2080 | 0.0 | - |
1389
- | 1.6720 | 2090 | 0.0 | - |
1390
- | 1.6800 | 2100 | 0.0 | - |
1391
- | 1.688 | 2110 | 0.0 | - |
1392
- | 1.696 | 2120 | 0.0 | - |
1393
- | 1.704 | 2130 | 0.0001 | - |
1394
- | 1.712 | 2140 | 0.0 | - |
1395
- | 1.72 | 2150 | 0.0 | - |
1396
- | 1.728 | 2160 | 0.0 | - |
1397
- | 1.736 | 2170 | 0.0 | - |
1398
- | 1.744 | 2180 | 0.0 | - |
1399
- | 1.752 | 2190 | 0.0 | - |
1400
- | 1.76 | 2200 | 0.0001 | - |
1401
- | 1.768 | 2210 | 0.0 | - |
1402
- | 1.776 | 2220 | 0.0 | - |
1403
- | 1.784 | 2230 | 0.0 | - |
1404
- | 1.792 | 2240 | 0.0 | - |
1405
- | 1.8 | 2250 | 0.0 | - |
1406
- | 1.808 | 2260 | 0.0 | - |
1407
- | 1.8160 | 2270 | 0.0 | - |
1408
- | 1.8240 | 2280 | 0.0 | - |
1409
- | 1.8320 | 2290 | 0.0 | - |
1410
- | 1.8400 | 2300 | 0.0 | - |
1411
- | 1.8480 | 2310 | 0.0 | - |
1412
- | 1.8560 | 2320 | 0.0 | - |
1413
- | 1.8640 | 2330 | 0.0 | - |
1414
- | 1.8720 | 2340 | 0.0 | - |
1415
- | 1.88 | 2350 | 0.0 | - |
1416
- | 1.888 | 2360 | 0.0 | - |
1417
- | 1.896 | 2370 | 0.0 | - |
1418
- | 1.904 | 2380 | 0.0 | - |
1419
- | 1.912 | 2390 | 0.0 | - |
1420
- | 1.92 | 2400 | 0.0 | - |
1421
- | 1.928 | 2410 | 0.0 | - |
1422
- | 1.936 | 2420 | 0.0 | - |
1423
- | 1.944 | 2430 | 0.0 | - |
1424
- | 1.952 | 2440 | 0.0 | - |
1425
- | 1.96 | 2450 | 0.0 | - |
1426
- | 1.968 | 2460 | 0.0 | - |
1427
- | 1.976 | 2470 | 0.0 | - |
1428
- | 1.984 | 2480 | 0.0 | - |
1429
- | 1.992 | 2490 | 0.0 | - |
1430
- | 2.0 | 2500 | 0.0 | 0.0224 |
1431
- | 2.008 | 2510 | 0.0 | - |
1432
- | 2.016 | 2520 | 0.0 | - |
1433
- | 2.024 | 2530 | 0.0 | - |
1434
- | 2.032 | 2540 | 0.0 | - |
1435
- | 2.04 | 2550 | 0.0 | - |
1436
- | 2.048 | 2560 | 0.0 | - |
1437
- | 2.056 | 2570 | 0.0 | - |
1438
- | 2.064 | 2580 | 0.0 | - |
1439
- | 2.072 | 2590 | 0.0 | - |
1440
- | 2.08 | 2600 | 0.0 | - |
1441
- | 2.088 | 2610 | 0.0 | - |
1442
- | 2.096 | 2620 | 0.0 | - |
1443
- | 2.104 | 2630 | 0.0001 | - |
1444
- | 2.112 | 2640 | 0.0 | - |
1445
- | 2.12 | 2650 | 0.0 | - |
1446
- | 2.128 | 2660 | 0.0 | - |
1447
- | 2.136 | 2670 | 0.0 | - |
1448
- | 2.144 | 2680 | 0.0 | - |
1449
- | 2.152 | 2690 | 0.0 | - |
1450
- | 2.16 | 2700 | 0.0 | - |
1451
- | 2.168 | 2710 | 0.0 | - |
1452
- | 2.176 | 2720 | 0.0 | - |
1453
- | 2.184 | 2730 | 0.0032 | - |
1454
- | 2.192 | 2740 | 0.0001 | - |
1455
- | 2.2 | 2750 | 0.0 | - |
1456
- | 2.208 | 2760 | 0.0 | - |
1457
- | 2.216 | 2770 | 0.0 | - |
1458
- | 2.224 | 2780 | 0.0 | - |
1459
- | 2.232 | 2790 | 0.0 | - |
1460
- | 2.24 | 2800 | 0.0 | - |
1461
- | 2.248 | 2810 | 0.0 | - |
1462
- | 2.2560 | 2820 | 0.0 | - |
1463
- | 2.2640 | 2830 | 0.0 | - |
1464
- | 2.2720 | 2840 | 0.0 | - |
1465
- | 2.2800 | 2850 | 0.0 | - |
1466
- | 2.288 | 2860 | 0.0 | - |
1467
- | 2.296 | 2870 | 0.0 | - |
1468
- | 2.304 | 2880 | 0.0 | - |
1469
- | 2.312 | 2890 | 0.0 | - |
1470
- | 2.32 | 2900 | 0.0 | - |
1471
- | 2.328 | 2910 | 0.0 | - |
1472
- | 2.336 | 2920 | 0.0 | - |
1473
- | 2.344 | 2930 | 0.0 | - |
1474
- | 2.352 | 2940 | 0.0 | - |
1475
- | 2.36 | 2950 | 0.0011 | - |
1476
- | 2.368 | 2960 | 0.0 | - |
1477
- | 2.376 | 2970 | 0.0 | - |
1478
- | 2.384 | 2980 | 0.0 | - |
1479
- | 2.392 | 2990 | 0.0 | - |
1480
- | 2.4 | 3000 | 0.0 | - |
1481
- | 2.408 | 3010 | 0.0 | - |
1482
- | 2.416 | 3020 | 0.0 | - |
1483
- | 2.424 | 3030 | 0.0 | - |
1484
- | 2.432 | 3040 | 0.0 | - |
1485
- | 2.44 | 3050 | 0.0 | - |
1486
- | 2.448 | 3060 | 0.0 | - |
1487
- | 2.456 | 3070 | 0.0 | - |
1488
- | 2.464 | 3080 | 0.0 | - |
1489
- | 2.472 | 3090 | 0.0 | - |
1490
- | 2.48 | 3100 | 0.0 | - |
1491
- | 2.488 | 3110 | 0.0 | - |
1492
- | 2.496 | 3120 | 0.0 | - |
1493
- | 2.504 | 3130 | 0.0 | - |
1494
- | 2.512 | 3140 | 0.0 | - |
1495
- | 2.52 | 3150 | 0.0 | - |
1496
- | 2.528 | 3160 | 0.0 | - |
1497
- | 2.536 | 3170 | 0.0 | - |
1498
- | 2.544 | 3180 | 0.0 | - |
1499
- | 2.552 | 3190 | 0.0 | - |
1500
- | 2.56 | 3200 | 0.0 | - |
1501
- | 2.568 | 3210 | 0.0 | - |
1502
- | 2.576 | 3220 | 0.0 | - |
1503
- | 2.584 | 3230 | 0.0 | - |
1504
- | 2.592 | 3240 | 0.0 | - |
1505
- | 2.6 | 3250 | 0.0 | - |
1506
- | 2.608 | 3260 | 0.0 | - |
1507
- | 2.616 | 3270 | 0.0 | - |
1508
- | 2.624 | 3280 | 0.0 | - |
1509
- | 2.632 | 3290 | 0.0 | - |
1510
- | 2.64 | 3300 | 0.0 | - |
1511
- | 2.648 | 3310 | 0.0 | - |
1512
- | 2.656 | 3320 | 0.0 | - |
1513
- | 2.664 | 3330 | 0.0 | - |
1514
- | 2.672 | 3340 | 0.0 | - |
1515
- | 2.68 | 3350 | 0.0 | - |
1516
- | 2.6880 | 3360 | 0.0 | - |
1517
- | 2.6960 | 3370 | 0.0 | - |
1518
- | 2.7040 | 3380 | 0.0 | - |
1519
- | 2.7120 | 3390 | 0.0 | - |
1520
- | 2.7200 | 3400 | 0.0 | - |
1521
- | 2.7280 | 3410 | 0.0 | - |
1522
- | 2.7360 | 3420 | 0.0 | - |
1523
- | 2.7440 | 3430 | 0.0 | - |
1524
- | 2.752 | 3440 | 0.0 | - |
1525
- | 2.76 | 3450 | 0.0 | - |
1526
- | 2.768 | 3460 | 0.0 | - |
1527
- | 2.776 | 3470 | 0.0 | - |
1528
- | 2.784 | 3480 | 0.0 | - |
1529
- | 2.792 | 3490 | 0.0 | - |
1530
- | 2.8 | 3500 | 0.0 | - |
1531
- | 2.808 | 3510 | 0.0 | - |
1532
- | 2.816 | 3520 | 0.0 | - |
1533
- | 2.824 | 3530 | 0.0 | - |
1534
- | 2.832 | 3540 | 0.0 | - |
1535
- | 2.84 | 3550 | 0.0 | - |
1536
- | 2.848 | 3560 | 0.0 | - |
1537
- | 2.856 | 3570 | 0.0 | - |
1538
- | 2.864 | 3580 | 0.0 | - |
1539
- | 2.872 | 3590 | 0.0 | - |
1540
- | 2.88 | 3600 | 0.0 | - |
1541
- | 2.888 | 3610 | 0.0 | - |
1542
- | 2.896 | 3620 | 0.0 | - |
1543
- | 2.904 | 3630 | 0.0 | - |
1544
- | 2.912 | 3640 | 0.0 | - |
1545
- | 2.92 | 3650 | 0.0 | - |
1546
- | 2.928 | 3660 | 0.0 | - |
1547
- | 2.936 | 3670 | 0.0 | - |
1548
- | 2.944 | 3680 | 0.0 | - |
1549
- | 2.952 | 3690 | 0.0 | - |
1550
- | 2.96 | 3700 | 0.0 | - |
1551
- | 2.968 | 3710 | 0.0 | - |
1552
- | 2.976 | 3720 | 0.0 | - |
1553
- | 2.984 | 3730 | 0.0 | - |
1554
- | 2.992 | 3740 | 0.0 | - |
1555
- | 3.0 | 3750 | 0.0 | 0.0221 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1556
 
1557
  ### Framework Versions
1558
  - Python: 3.10.12
 
89
  <!-- - **Sentence Transformer:** [Unknown](https://huggingface.co/unknown) -->
90
  - **Classification head:** a [LogisticRegression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html) instance
91
  - **Maximum Sequence Length:** 512 tokens
92
+ - **Number of Classes:** 5000 classes
93
  <!-- - **Training Dataset:** [Unknown](https://huggingface.co/datasets/unknown) -->
94
  <!-- - **Language:** Unknown -->
95
  <!-- - **License:** Unknown -->
 
150
  ### Training Set Metrics
151
  | Training set | Min | Median | Max |
152
  |:-------------|:----------|:-----------------|:--------------|
153
+ | Word count | tensor(1) | tensor(370.1842) | tensor(52538) |
154
 
155
+ | Label | Training Sample Count |
156
+ |:-------------------------------|:----------------------|
157
+ | Purpose - Regulatory Objective | 0 |
158
+ | Scope and Applicability | 0 |
159
+ | Authority and Legal Basis | 0 |
160
+ | Administrative Details | 0 |
161
+ | Non-Purpose | 0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
162
 
163
  ### Training Hyperparameters
164
  - batch_size: (32, 32)
165
+ - num_epochs: (1, 1)
166
  - max_steps: -1
167
  - sampling_strategy: oversampling
168
  - num_iterations: 20
169
+ - body_learning_rate: (2e-05, 1e-05)
170
  - head_learning_rate: 0.01
171
  - loss: CosineSimilarityLoss
172
  - distance_metric: cosine_distance
 
182
  ### Training Results
183
  | Epoch | Step | Training Loss | Validation Loss |
184
  |:------:|:----:|:-------------:|:---------------:|
185
+ | 0.0002 | 1 | 0.1006 | - |
186
+ | 0.0016 | 10 | 0.0759 | - |
187
+ | 0.0032 | 20 | 0.0767 | - |
188
+ | 0.0048 | 30 | 0.0852 | - |
189
+ | 0.0064 | 40 | 0.0765 | - |
190
+ | 0.008 | 50 | 0.078 | - |
191
+ | 0.0096 | 60 | 0.0734 | - |
192
+ | 0.0112 | 70 | 0.0687 | - |
193
+ | 0.0128 | 80 | 0.0566 | - |
194
+ | 0.0144 | 90 | 0.065 | - |
195
+ | 0.016 | 100 | 0.0583 | - |
196
+ | 0.0176 | 110 | 0.0584 | - |
197
+ | 0.0192 | 120 | 0.0466 | - |
198
+ | 0.0208 | 130 | 0.0661 | - |
199
+ | 0.0224 | 140 | 0.0583 | - |
200
+ | 0.024 | 150 | 0.0494 | - |
201
+ | 0.0256 | 160 | 0.0451 | - |
202
+ | 0.0272 | 170 | 0.0443 | - |
203
+ | 0.0288 | 180 | 0.0409 | - |
204
+ | 0.0304 | 190 | 0.0513 | - |
205
+ | 0.032 | 200 | 0.0415 | - |
206
+ | 0.0336 | 210 | 0.0413 | - |
207
+ | 0.0352 | 220 | 0.0478 | - |
208
+ | 0.0368 | 230 | 0.0319 | - |
209
+ | 0.0384 | 240 | 0.0273 | - |
210
+ | 0.04 | 250 | 0.0418 | - |
211
+ | 0.0416 | 260 | 0.0415 | - |
212
+ | 0.0432 | 270 | 0.0454 | - |
213
+ | 0.0448 | 280 | 0.0333 | - |
214
+ | 0.0464 | 290 | 0.0341 | - |
215
+ | 0.048 | 300 | 0.0504 | - |
216
+ | 0.0496 | 310 | 0.0296 | - |
217
+ | 0.0512 | 320 | 0.0293 | - |
218
+ | 0.0528 | 330 | 0.0263 | - |
219
+ | 0.0544 | 340 | 0.0292 | - |
220
+ | 0.056 | 350 | 0.0394 | - |
221
+ | 0.0576 | 360 | 0.0246 | - |
222
+ | 0.0592 | 370 | 0.0419 | - |
223
+ | 0.0608 | 380 | 0.0251 | - |
224
+ | 0.0624 | 390 | 0.02 | - |
225
+ | 0.064 | 400 | 0.0397 | - |
226
+ | 0.0656 | 410 | 0.0151 | - |
227
+ | 0.0672 | 420 | 0.0312 | - |
228
+ | 0.0688 | 430 | 0.0336 | - |
229
+ | 0.0704 | 440 | 0.0194 | - |
230
+ | 0.072 | 450 | 0.0251 | - |
231
+ | 0.0736 | 460 | 0.0167 | - |
232
+ | 0.0752 | 470 | 0.0203 | - |
233
+ | 0.0768 | 480 | 0.0158 | - |
234
+ | 0.0784 | 490 | 0.0165 | - |
235
+ | 0.08 | 500 | 0.0181 | - |
236
+ | 0.0816 | 510 | 0.0153 | - |
237
+ | 0.0832 | 520 | 0.0301 | - |
238
+ | 0.0848 | 530 | 0.0243 | - |
239
+ | 0.0864 | 540 | 0.0271 | - |
240
+ | 0.088 | 550 | 0.0185 | - |
241
+ | 0.0896 | 560 | 0.0221 | - |
242
+ | 0.0912 | 570 | 0.0171 | - |
243
+ | 0.0928 | 580 | 0.0284 | - |
244
+ | 0.0944 | 590 | 0.0335 | - |
245
+ | 0.096 | 600 | 0.0163 | - |
246
+ | 0.0976 | 610 | 0.0199 | - |
247
+ | 0.0992 | 620 | 0.0212 | - |
248
+ | 0.1008 | 630 | 0.0253 | - |
249
+ | 0.1024 | 640 | 0.0173 | - |
250
+ | 0.104 | 650 | 0.0376 | - |
251
+ | 0.1056 | 660 | 0.0135 | - |
252
+ | 0.1072 | 670 | 0.0216 | - |
253
+ | 0.1088 | 680 | 0.0279 | - |
254
+ | 0.1104 | 690 | 0.0126 | - |
255
+ | 0.112 | 700 | 0.0144 | - |
256
+ | 0.1136 | 710 | 0.0149 | - |
257
+ | 0.1152 | 720 | 0.0186 | - |
258
+ | 0.1168 | 730 | 0.0084 | - |
259
+ | 0.1184 | 740 | 0.0231 | - |
260
+ | 0.12 | 750 | 0.0152 | - |
261
+ | 0.1216 | 760 | 0.0174 | - |
262
+ | 0.1232 | 770 | 0.0235 | - |
263
+ | 0.1248 | 780 | 0.0144 | - |
264
+ | 0.1264 | 790 | 0.0081 | - |
265
+ | 0.128 | 800 | 0.0209 | - |
266
+ | 0.1296 | 810 | 0.014 | - |
267
+ | 0.1312 | 820 | 0.0208 | - |
268
+ | 0.1328 | 830 | 0.0146 | - |
269
+ | 0.1344 | 840 | 0.0159 | - |
270
+ | 0.136 | 850 | 0.0119 | - |
271
+ | 0.1376 | 860 | 0.0251 | - |
272
+ | 0.1392 | 870 | 0.0153 | - |
273
+ | 0.1408 | 880 | 0.0077 | - |
274
+ | 0.1424 | 890 | 0.0136 | - |
275
+ | 0.144 | 900 | 0.0131 | - |
276
+ | 0.1456 | 910 | 0.0058 | - |
277
+ | 0.1472 | 920 | 0.0146 | - |
278
+ | 0.1488 | 930 | 0.0186 | - |
279
+ | 0.1504 | 940 | 0.014 | - |
280
+ | 0.152 | 950 | 0.0127 | - |
281
+ | 0.1536 | 960 | 0.0074 | - |
282
+ | 0.1552 | 970 | 0.0246 | - |
283
+ | 0.1568 | 980 | 0.0137 | - |
284
+ | 0.1584 | 990 | 0.0061 | - |
285
+ | 0.16 | 1000 | 0.0067 | - |
286
+ | 0.1616 | 1010 | 0.0125 | - |
287
+ | 0.1632 | 1020 | 0.01 | - |
288
+ | 0.1648 | 1030 | 0.0116 | - |
289
+ | 0.1664 | 1040 | 0.0098 | - |
290
+ | 0.168 | 1050 | 0.0116 | - |
291
+ | 0.1696 | 1060 | 0.0051 | - |
292
+ | 0.1712 | 1070 | 0.0014 | - |
293
+ | 0.1728 | 1080 | 0.0056 | - |
294
+ | 0.1744 | 1090 | 0.0009 | - |
295
+ | 0.176 | 1100 | 0.0074 | - |
296
+ | 0.1776 | 1110 | 0.0019 | - |
297
+ | 0.1792 | 1120 | 0.0022 | - |
298
+ | 0.1808 | 1130 | 0.0063 | - |
299
+ | 0.1824 | 1140 | 0.0059 | - |
300
+ | 0.184 | 1150 | 0.0065 | - |
301
+ | 0.1856 | 1160 | 0.0151 | - |
302
+ | 0.1872 | 1170 | 0.0034 | - |
303
+ | 0.1888 | 1180 | 0.0033 | - |
304
+ | 0.1904 | 1190 | 0.0085 | - |
305
+ | 0.192 | 1200 | 0.0041 | - |
306
+ | 0.1936 | 1210 | 0.0084 | - |
307
+ | 0.1952 | 1220 | 0.004 | - |
308
+ | 0.1968 | 1230 | 0.0148 | - |
309
+ | 0.1984 | 1240 | 0.0111 | - |
310
+ | 0.2 | 1250 | 0.0125 | - |
311
+ | 0.2016 | 1260 | 0.0086 | - |
312
+ | 0.2032 | 1270 | 0.0042 | - |
313
+ | 0.2048 | 1280 | 0.0041 | - |
314
+ | 0.2064 | 1290 | 0.0078 | - |
315
+ | 0.208 | 1300 | 0.0042 | - |
316
+ | 0.2096 | 1310 | 0.0078 | - |
317
+ | 0.2112 | 1320 | 0.0065 | - |
318
+ | 0.2128 | 1330 | 0.0079 | - |
319
+ | 0.2144 | 1340 | 0.0157 | - |
320
+ | 0.216 | 1350 | 0.0086 | - |
321
+ | 0.2176 | 1360 | 0.0057 | - |
322
+ | 0.2192 | 1370 | 0.0025 | - |
323
+ | 0.2208 | 1380 | 0.0057 | - |
324
+ | 0.2224 | 1390 | 0.0051 | - |
325
+ | 0.224 | 1400 | 0.0054 | - |
326
+ | 0.2256 | 1410 | 0.0048 | - |
327
+ | 0.2272 | 1420 | 0.01 | - |
328
+ | 0.2288 | 1430 | 0.0087 | - |
329
+ | 0.2304 | 1440 | 0.0053 | - |
330
+ | 0.232 | 1450 | 0.0046 | - |
331
+ | 0.2336 | 1460 | 0.004 | - |
332
+ | 0.2352 | 1470 | 0.0062 | - |
333
+ | 0.2368 | 1480 | 0.0088 | - |
334
+ | 0.2384 | 1490 | 0.0093 | - |
335
+ | 0.24 | 1500 | 0.0005 | - |
336
+ | 0.2416 | 1510 | 0.0074 | - |
337
+ | 0.2432 | 1520 | 0.0042 | - |
338
+ | 0.2448 | 1530 | 0.0072 | - |
339
+ | 0.2464 | 1540 | 0.0007 | - |
340
+ | 0.248 | 1550 | 0.005 | - |
341
+ | 0.2496 | 1560 | 0.002 | - |
342
+ | 0.2512 | 1570 | 0.001 | - |
343
+ | 0.2528 | 1580 | 0.0062 | - |
344
+ | 0.2544 | 1590 | 0.0004 | - |
345
+ | 0.256 | 1600 | 0.0009 | - |
346
+ | 0.2576 | 1610 | 0.0041 | - |
347
+ | 0.2592 | 1620 | 0.0119 | - |
348
+ | 0.2608 | 1630 | 0.0011 | - |
349
+ | 0.2624 | 1640 | 0.0104 | - |
350
+ | 0.264 | 1650 | 0.0037 | - |
351
+ | 0.2656 | 1660 | 0.0005 | - |
352
+ | 0.2672 | 1670 | 0.004 | - |
353
+ | 0.2688 | 1680 | 0.0036 | - |
354
+ | 0.2704 | 1690 | 0.0037 | - |
355
+ | 0.272 | 1700 | 0.0013 | - |
356
+ | 0.2736 | 1710 | 0.0004 | - |
357
+ | 0.2752 | 1720 | 0.0006 | - |
358
+ | 0.2768 | 1730 | 0.0065 | - |
359
+ | 0.2784 | 1740 | 0.0033 | - |
360
+ | 0.28 | 1750 | 0.0009 | - |
361
+ | 0.2816 | 1760 | 0.0117 | - |
362
+ | 0.2832 | 1770 | 0.0033 | - |
363
+ | 0.2848 | 1780 | 0.0032 | - |
364
+ | 0.2864 | 1790 | 0.0037 | - |
365
+ | 0.288 | 1800 | 0.0022 | - |
366
+ | 0.2896 | 1810 | 0.0011 | - |
367
+ | 0.2912 | 1820 | 0.0006 | - |
368
+ | 0.2928 | 1830 | 0.0007 | - |
369
+ | 0.2944 | 1840 | 0.0054 | - |
370
+ | 0.296 | 1850 | 0.0007 | - |
371
+ | 0.2976 | 1860 | 0.0035 | - |
372
+ | 0.2992 | 1870 | 0.0038 | - |
373
+ | 0.3008 | 1880 | 0.0075 | - |
374
+ | 0.3024 | 1890 | 0.0017 | - |
375
+ | 0.304 | 1900 | 0.0005 | - |
376
+ | 0.3056 | 1910 | 0.0002 | - |
377
+ | 0.3072 | 1920 | 0.0002 | - |
378
+ | 0.3088 | 1930 | 0.0002 | - |
379
+ | 0.3104 | 1940 | 0.0033 | - |
380
+ | 0.312 | 1950 | 0.0085 | - |
381
+ | 0.3136 | 1960 | 0.0004 | - |
382
+ | 0.3152 | 1970 | 0.0005 | - |
383
+ | 0.3168 | 1980 | 0.0002 | - |
384
+ | 0.3184 | 1990 | 0.003 | - |
385
+ | 0.32 | 2000 | 0.0007 | - |
386
+ | 0.3216 | 2010 | 0.0009 | - |
387
+ | 0.3232 | 2020 | 0.0003 | - |
388
+ | 0.3248 | 2030 | 0.0012 | - |
389
+ | 0.3264 | 2040 | 0.0086 | - |
390
+ | 0.328 | 2050 | 0.001 | - |
391
+ | 0.3296 | 2060 | 0.0009 | - |
392
+ | 0.3312 | 2070 | 0.0029 | - |
393
+ | 0.3328 | 2080 | 0.0033 | - |
394
+ | 0.3344 | 2090 | 0.0005 | - |
395
+ | 0.336 | 2100 | 0.0003 | - |
396
+ | 0.3376 | 2110 | 0.0033 | - |
397
+ | 0.3392 | 2120 | 0.0029 | - |
398
+ | 0.3408 | 2130 | 0.0001 | - |
399
+ | 0.3424 | 2140 | 0.0057 | - |
400
+ | 0.344 | 2150 | 0.0001 | - |
401
+ | 0.3456 | 2160 | 0.0002 | - |
402
+ | 0.3472 | 2170 | 0.004 | - |
403
+ | 0.3488 | 2180 | 0.002 | - |
404
+ | 0.3504 | 2190 | 0.0073 | - |
405
+ | 0.352 | 2200 | 0.0004 | - |
406
+ | 0.3536 | 2210 | 0.0006 | - |
407
+ | 0.3552 | 2220 | 0.0004 | - |
408
+ | 0.3568 | 2230 | 0.0032 | - |
409
+ | 0.3584 | 2240 | 0.007 | - |
410
+ | 0.36 | 2250 | 0.0096 | - |
411
+ | 0.3616 | 2260 | 0.0032 | - |
412
+ | 0.3632 | 2270 | 0.0006 | - |
413
+ | 0.3648 | 2280 | 0.0002 | - |
414
+ | 0.3664 | 2290 | 0.0032 | - |
415
+ | 0.368 | 2300 | 0.0002 | - |
416
+ | 0.3696 | 2310 | 0.0025 | - |
417
+ | 0.3712 | 2320 | 0.0002 | - |
418
+ | 0.3728 | 2330 | 0.0053 | - |
419
+ | 0.3744 | 2340 | 0.0017 | - |
420
+ | 0.376 | 2350 | 0.0013 | - |
421
+ | 0.3776 | 2360 | 0.0001 | - |
422
+ | 0.3792 | 2370 | 0.0032 | - |
423
+ | 0.3808 | 2380 | 0.0002 | - |
424
+ | 0.3824 | 2390 | 0.0019 | - |
425
+ | 0.384 | 2400 | 0.0015 | - |
426
+ | 0.3856 | 2410 | 0.0009 | - |
427
+ | 0.3872 | 2420 | 0.0006 | - |
428
+ | 0.3888 | 2430 | 0.0032 | - |
429
+ | 0.3904 | 2440 | 0.0033 | - |
430
+ | 0.392 | 2450 | 0.0003 | - |
431
+ | 0.3936 | 2460 | 0.0003 | - |
432
+ | 0.3952 | 2470 | 0.0016 | - |
433
+ | 0.3968 | 2480 | 0.0065 | - |
434
+ | 0.3984 | 2490 | 0.0011 | - |
435
+ | 0.4 | 2500 | 0.0032 | - |
436
+ | 0.4016 | 2510 | 0.0045 | - |
437
+ | 0.4032 | 2520 | 0.0001 | - |
438
+ | 0.4048 | 2530 | 0.0004 | - |
439
+ | 0.4064 | 2540 | 0.0001 | - |
440
+ | 0.408 | 2550 | 0.0027 | - |
441
+ | 0.4096 | 2560 | 0.0032 | - |
442
+ | 0.4112 | 2570 | 0.0034 | - |
443
+ | 0.4128 | 2580 | 0.0057 | - |
444
+ | 0.4144 | 2590 | 0.0029 | - |
445
+ | 0.416 | 2600 | 0.0008 | - |
446
+ | 0.4176 | 2610 | 0.0002 | - |
447
+ | 0.4192 | 2620 | 0.0033 | - |
448
+ | 0.4208 | 2630 | 0.0004 | - |
449
+ | 0.4224 | 2640 | 0.0057 | - |
450
+ | 0.424 | 2650 | 0.0001 | - |
451
+ | 0.4256 | 2660 | 0.0048 | - |
452
+ | 0.4272 | 2670 | 0.0043 | - |
453
+ | 0.4288 | 2680 | 0.0011 | - |
454
+ | 0.4304 | 2690 | 0.0053 | - |
455
+ | 0.432 | 2700 | 0.0001 | - |
456
+ | 0.4336 | 2710 | 0.0045 | - |
457
+ | 0.4352 | 2720 | 0.0032 | - |
458
+ | 0.4368 | 2730 | 0.0034 | - |
459
+ | 0.4384 | 2740 | 0.0031 | - |
460
+ | 0.44 | 2750 | 0.0065 | - |
461
+ | 0.4416 | 2760 | 0.0013 | - |
462
+ | 0.4432 | 2770 | 0.0027 | - |
463
+ | 0.4448 | 2780 | 0.0014 | - |
464
+ | 0.4464 | 2790 | 0.0036 | - |
465
+ | 0.448 | 2800 | 0.0009 | - |
466
+ | 0.4496 | 2810 | 0.0053 | - |
467
+ | 0.4512 | 2820 | 0.0001 | - |
468
+ | 0.4528 | 2830 | 0.0005 | - |
469
+ | 0.4544 | 2840 | 0.0006 | - |
470
+ | 0.456 | 2850 | 0.0015 | - |
471
+ | 0.4576 | 2860 | 0.0028 | - |
472
+ | 0.4592 | 2870 | 0.0006 | - |
473
+ | 0.4608 | 2880 | 0.0001 | - |
474
+ | 0.4624 | 2890 | 0.0024 | - |
475
+ | 0.464 | 2900 | 0.0012 | - |
476
+ | 0.4656 | 2910 | 0.0003 | - |
477
+ | 0.4672 | 2920 | 0.0028 | - |
478
+ | 0.4688 | 2930 | 0.0022 | - |
479
+ | 0.4704 | 2940 | 0.0002 | - |
480
+ | 0.472 | 2950 | 0.0006 | - |
481
+ | 0.4736 | 2960 | 0.0002 | - |
482
+ | 0.4752 | 2970 | 0.0034 | - |
483
+ | 0.4768 | 2980 | 0.0032 | - |
484
+ | 0.4784 | 2990 | 0.0001 | - |
485
+ | 0.48 | 3000 | 0.0001 | - |
486
+ | 0.4816 | 3010 | 0.0003 | - |
487
+ | 0.4832 | 3020 | 0.0001 | - |
488
+ | 0.4848 | 3030 | 0.0011 | - |
489
+ | 0.4864 | 3040 | 0.0001 | - |
490
+ | 0.488 | 3050 | 0.0003 | - |
491
+ | 0.4896 | 3060 | 0.0031 | - |
492
+ | 0.4912 | 3070 | 0.0032 | - |
493
+ | 0.4928 | 3080 | 0.0028 | - |
494
+ | 0.4944 | 3090 | 0.0032 | - |
495
+ | 0.496 | 3100 | 0.0002 | - |
496
+ | 0.4976 | 3110 | 0.0001 | - |
497
+ | 0.4992 | 3120 | 0.0008 | - |
498
+ | 0.5008 | 3130 | 0.0028 | - |
499
+ | 0.5024 | 3140 | 0.0001 | - |
500
+ | 0.504 | 3150 | 0.0001 | - |
501
+ | 0.5056 | 3160 | 0.0001 | - |
502
+ | 0.5072 | 3170 | 0.0007 | - |
503
+ | 0.5088 | 3180 | 0.0054 | - |
504
+ | 0.5104 | 3190 | 0.0001 | - |
505
+ | 0.512 | 3200 | 0.0001 | - |
506
+ | 0.5136 | 3210 | 0.0001 | - |
507
+ | 0.5152 | 3220 | 0.0001 | - |
508
+ | 0.5168 | 3230 | 0.0027 | - |
509
+ | 0.5184 | 3240 | 0.0001 | - |
510
+ | 0.52 | 3250 | 0.0028 | - |
511
+ | 0.5216 | 3260 | 0.0001 | - |
512
+ | 0.5232 | 3270 | 0.0001 | - |
513
+ | 0.5248 | 3280 | 0.0007 | - |
514
+ | 0.5264 | 3290 | 0.0001 | - |
515
+ | 0.528 | 3300 | 0.0001 | - |
516
+ | 0.5296 | 3310 | 0.0001 | - |
517
+ | 0.5312 | 3320 | 0.0001 | - |
518
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811
 
812
  ### Framework Versions
813
  - Python: 3.10.12
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