ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k14_task5_organization

This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0738
  • Qwk: 0.2003
  • Mse: 1.0738
  • Rmse: 1.0363

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 100

Training results

Training Loss Epoch Step Validation Loss Qwk Mse Rmse
No log 0.0303 2 4.0997 -0.0075 4.0997 2.0248
No log 0.0606 4 2.6078 -0.0465 2.6078 1.6149
No log 0.0909 6 1.6912 -0.0046 1.6912 1.3004
No log 0.1212 8 1.3730 0.0634 1.3730 1.1718
No log 0.1515 10 1.4730 -0.0492 1.4730 1.2137
No log 0.1818 12 1.5188 0.0775 1.5188 1.2324
No log 0.2121 14 1.3816 0.0661 1.3816 1.1754
No log 0.2424 16 1.4708 0.1238 1.4708 1.2128
No log 0.2727 18 1.1851 0.2734 1.1851 1.0886
No log 0.3030 20 1.1612 0.2687 1.1612 1.0776
No log 0.3333 22 1.3145 0.2495 1.3145 1.1465
No log 0.3636 24 1.4299 0.2371 1.4299 1.1958
No log 0.3939 26 1.2297 0.1121 1.2297 1.1089
No log 0.4242 28 1.1532 0.0336 1.1532 1.0739
No log 0.4545 30 1.1882 0.0603 1.1882 1.0900
No log 0.4848 32 1.3764 0.2117 1.3764 1.1732
No log 0.5152 34 1.7004 0.1745 1.7004 1.3040
No log 0.5455 36 1.4491 0.2178 1.4491 1.2038
No log 0.5758 38 1.2732 0.2085 1.2732 1.1284
No log 0.6061 40 1.2336 0.1817 1.2336 1.1107
No log 0.6364 42 1.4508 0.2539 1.4508 1.2045
No log 0.6667 44 2.1755 0.1423 2.1755 1.4750
No log 0.6970 46 1.8909 0.1409 1.8909 1.3751
No log 0.7273 48 1.2297 0.2279 1.2297 1.1089
No log 0.7576 50 1.0665 0.3066 1.0665 1.0327
No log 0.7879 52 1.0736 0.1837 1.0736 1.0361
No log 0.8182 54 1.0042 0.1465 1.0042 1.0021
No log 0.8485 56 1.1362 0.2199 1.1362 1.0659
No log 0.8788 58 1.4500 0.1234 1.4500 1.2041
No log 0.9091 60 1.4413 0.1660 1.4413 1.2005
No log 0.9394 62 1.2488 0.1709 1.2488 1.1175
No log 0.9697 64 1.2627 0.2234 1.2627 1.1237
No log 1.0 66 1.1775 0.2103 1.1775 1.0851
No log 1.0303 68 1.2136 0.1778 1.2136 1.1016
No log 1.0606 70 1.4376 0.1489 1.4376 1.1990
No log 1.0909 72 1.4784 0.1895 1.4784 1.2159
No log 1.1212 74 1.2403 0.2195 1.2403 1.1137
No log 1.1515 76 1.0613 0.2031 1.0613 1.0302
No log 1.1818 78 1.0766 0.2991 1.0766 1.0376
No log 1.2121 80 1.0728 0.3124 1.0728 1.0358
No log 1.2424 82 1.1041 0.2302 1.1041 1.0507
No log 1.2727 84 1.2437 0.2138 1.2437 1.1152
No log 1.3030 86 1.3529 0.3375 1.3529 1.1631
No log 1.3333 88 1.4277 0.3375 1.4277 1.1949
No log 1.3636 90 1.3265 0.3012 1.3265 1.1518
No log 1.3939 92 1.1545 0.2201 1.1545 1.0745
No log 1.4242 94 1.0782 0.2989 1.0782 1.0383
No log 1.4545 96 1.1165 0.2208 1.1165 1.0567
No log 1.4848 98 1.2426 0.3435 1.2426 1.1147
No log 1.5152 100 1.1720 0.2932 1.1720 1.0826
No log 1.5455 102 1.1344 0.2331 1.1344 1.0651
No log 1.5758 104 1.2246 0.2268 1.2246 1.1066
No log 1.6061 106 1.2687 0.2552 1.2687 1.1264
No log 1.6364 108 1.1770 0.1776 1.1770 1.0849
No log 1.6667 110 1.1348 0.2980 1.1348 1.0653
No log 1.6970 112 1.1572 0.2702 1.1572 1.0757
No log 1.7273 114 1.2508 0.25 1.2508 1.1184
No log 1.7576 116 1.2984 0.3012 1.2984 1.1395
No log 1.7879 118 1.4010 0.2205 1.4010 1.1836
No log 1.8182 120 1.3981 0.2216 1.3981 1.1824
No log 1.8485 122 1.2532 0.3261 1.2532 1.1195
No log 1.8788 124 1.1612 0.3624 1.1612 1.0776
No log 1.9091 126 1.1238 0.4053 1.1238 1.0601
No log 1.9394 128 1.1330 0.2519 1.1330 1.0644
No log 1.9697 130 1.1455 0.2445 1.1455 1.0703
No log 2.0 132 1.0872 0.4425 1.0872 1.0427
No log 2.0303 134 1.1599 0.2974 1.1599 1.0770
No log 2.0606 136 1.1300 0.3880 1.1300 1.0630
No log 2.0909 138 0.9947 0.3048 0.9947 0.9974
No log 2.1212 140 1.0231 0.3048 1.0231 1.0115
No log 2.1515 142 1.1460 0.3709 1.1460 1.0705
No log 2.1818 144 1.1697 0.3243 1.1697 1.0815
No log 2.2121 146 1.1501 0.2787 1.1501 1.0724
No log 2.2424 148 1.1206 0.3179 1.1206 1.0586
No log 2.2727 150 1.1363 0.3488 1.1363 1.0660
No log 2.3030 152 1.0298 0.3389 1.0298 1.0148
No log 2.3333 154 1.0285 0.2532 1.0285 1.0142
No log 2.3636 156 1.0746 0.2735 1.0746 1.0366
No log 2.3939 158 1.0192 0.3394 1.0192 1.0096
No log 2.4242 160 1.0490 0.3736 1.0490 1.0242
No log 2.4545 162 1.0904 0.3807 1.0904 1.0442
No log 2.4848 164 1.1609 0.3640 1.1609 1.0774
No log 2.5152 166 1.2093 0.3773 1.2093 1.0997
No log 2.5455 168 1.2486 0.3330 1.2486 1.1174
No log 2.5758 170 1.2760 0.2875 1.2760 1.1296
No log 2.6061 172 1.2659 0.2801 1.2659 1.1251
No log 2.6364 174 1.3523 0.2917 1.3523 1.1629
No log 2.6667 176 1.5108 0.1638 1.5108 1.2292
No log 2.6970 178 1.4305 0.2168 1.4305 1.1960
No log 2.7273 180 1.1611 0.2456 1.1611 1.0775
No log 2.7576 182 1.1671 0.2292 1.1671 1.0803
No log 2.7879 184 1.1445 0.1869 1.1445 1.0698
No log 2.8182 186 1.1305 0.1986 1.1305 1.0632
No log 2.8485 188 1.1375 0.3157 1.1375 1.0665
No log 2.8788 190 1.0864 0.2255 1.0864 1.0423
No log 2.9091 192 1.0902 0.3437 1.0902 1.0441
No log 2.9394 194 1.1056 0.3528 1.1056 1.0515
No log 2.9697 196 1.1339 0.3879 1.1339 1.0649
No log 3.0 198 1.1424 0.3669 1.1424 1.0688
No log 3.0303 200 1.1819 0.2169 1.1819 1.0872
No log 3.0606 202 1.1391 0.2519 1.1391 1.0673
No log 3.0909 204 1.0908 0.3049 1.0908 1.0444
No log 3.1212 206 1.1156 0.3753 1.1156 1.0562
No log 3.1515 208 1.1221 0.2195 1.1221 1.0593
No log 3.1818 210 1.1677 0.2063 1.1677 1.0806
No log 3.2121 212 1.2223 0.2388 1.2223 1.1056
No log 3.2424 214 1.2350 0.2804 1.2350 1.1113
No log 3.2727 216 1.2595 0.3164 1.2595 1.1223
No log 3.3030 218 1.2630 0.3115 1.2630 1.1238
No log 3.3333 220 1.2185 0.2721 1.2185 1.1039
No log 3.3636 222 1.2231 0.2343 1.2231 1.1060
No log 3.3939 224 1.2644 0.2481 1.2644 1.1244
No log 3.4242 226 1.2606 0.2388 1.2606 1.1228
No log 3.4545 228 1.2827 0.2601 1.2827 1.1326
No log 3.4848 230 1.2912 0.2982 1.2912 1.1363
No log 3.5152 232 1.2788 0.2246 1.2788 1.1308
No log 3.5455 234 1.4616 0.1831 1.4616 1.2090
No log 3.5758 236 1.4247 0.2241 1.4247 1.1936
No log 3.6061 238 1.2526 0.2060 1.2526 1.1192
No log 3.6364 240 1.2476 0.2851 1.2476 1.1170
No log 3.6667 242 1.2701 0.2076 1.2701 1.1270
No log 3.6970 244 1.1975 0.2228 1.1975 1.0943
No log 3.7273 246 1.1430 0.0914 1.1430 1.0691
No log 3.7576 248 1.2046 0.1893 1.2046 1.0976
No log 3.7879 250 1.2527 0.2557 1.2527 1.1193
No log 3.8182 252 1.2267 0.1649 1.2267 1.1076
No log 3.8485 254 1.2422 0.2788 1.2422 1.1145
No log 3.8788 256 1.2679 0.1801 1.2679 1.1260
No log 3.9091 258 1.2203 0.2898 1.2203 1.1047
No log 3.9394 260 1.1750 0.2483 1.1750 1.0840
No log 3.9697 262 1.1311 0.2857 1.1311 1.0635
No log 4.0 264 1.0764 0.2097 1.0764 1.0375
No log 4.0303 266 1.1224 0.1546 1.1224 1.0594
No log 4.0606 268 1.1393 0.1886 1.1393 1.0674
No log 4.0909 270 1.0758 0.2356 1.0758 1.0372
No log 4.1212 272 1.0520 0.2723 1.0520 1.0257
No log 4.1515 274 1.0726 0.2723 1.0726 1.0356
No log 4.1818 276 1.1223 0.3714 1.1223 1.0594
No log 4.2121 278 1.1848 0.3319 1.1848 1.0885
No log 4.2424 280 1.2398 0.2964 1.2398 1.1135
No log 4.2727 282 1.2591 0.3065 1.2591 1.1221
No log 4.3030 284 1.2327 0.3081 1.2327 1.1103
No log 4.3333 286 1.1998 0.3081 1.1998 1.0954
No log 4.3636 288 1.1620 0.3409 1.1620 1.0780
No log 4.3939 290 1.1223 0.1788 1.1223 1.0594
No log 4.4242 292 1.1308 0.2028 1.1308 1.0634
No log 4.4545 294 1.1337 0.1788 1.1337 1.0647
No log 4.4848 296 1.1576 0.2219 1.1576 1.0759
No log 4.5152 298 1.2044 0.3012 1.2044 1.0974
No log 4.5455 300 1.2307 0.3012 1.2307 1.1094
No log 4.5758 302 1.1864 0.2681 1.1864 1.0892
No log 4.6061 304 1.1314 0.2612 1.1314 1.0637
No log 4.6364 306 1.0913 0.2265 1.0913 1.0446
No log 4.6667 308 1.0749 0.2063 1.0749 1.0368
No log 4.6970 310 1.0928 0.2300 1.0928 1.0454
No log 4.7273 312 1.1136 0.2798 1.1136 1.0553
No log 4.7576 314 1.0637 0.2388 1.0637 1.0314
No log 4.7879 316 1.0668 0.3069 1.0668 1.0329
No log 4.8182 318 1.0969 0.3680 1.0969 1.0473
No log 4.8485 320 1.2251 0.3556 1.2251 1.1069
No log 4.8788 322 1.2642 0.3761 1.2642 1.1244
No log 4.9091 324 1.1716 0.3046 1.1716 1.0824
No log 4.9394 326 1.1381 0.2105 1.1381 1.0668
No log 4.9697 328 1.1529 0.3409 1.1529 1.0737
No log 5.0 330 1.1403 0.3409 1.1403 1.0678
No log 5.0303 332 1.1331 0.3409 1.1331 1.0645
No log 5.0606 334 1.1047 0.3103 1.1047 1.0510
No log 5.0909 336 1.1009 0.2323 1.1009 1.0492
No log 5.1212 338 1.1055 0.1546 1.1055 1.0514
No log 5.1515 340 1.1349 0.1649 1.1349 1.0653
No log 5.1818 342 1.1294 0.2579 1.1294 1.0627
No log 5.2121 344 1.1295 0.3350 1.1295 1.0628
No log 5.2424 346 1.1379 0.3753 1.1379 1.0667
No log 5.2727 348 1.1216 0.2857 1.1216 1.0590
No log 5.3030 350 1.1309 0.1818 1.1309 1.0634
No log 5.3333 352 1.2636 0.3197 1.2636 1.1241
No log 5.3636 354 1.2587 0.2480 1.2587 1.1219
No log 5.3939 356 1.1431 0.2049 1.1431 1.0691
No log 5.4242 358 1.0972 0.2857 1.0972 1.0475
No log 5.4545 360 1.0885 0.3045 1.0885 1.0433
No log 5.4848 362 1.0969 0.3861 1.0969 1.0473
No log 5.5152 364 1.1447 0.3662 1.1447 1.0699
No log 5.5455 366 1.1628 0.3554 1.1628 1.0783
No log 5.5758 368 1.1877 0.3231 1.1877 1.0898
No log 5.6061 370 1.1662 0.3049 1.1662 1.0799
No log 5.6364 372 1.1976 0.3608 1.1976 1.0943
No log 5.6667 374 1.2137 0.2794 1.2137 1.1017
No log 5.6970 376 1.1880 0.2250 1.1880 1.0899
No log 5.7273 378 1.1006 0.1727 1.1006 1.0491
No log 5.7576 380 1.0660 0.1504 1.0660 1.0325
No log 5.7879 382 1.0762 0.2108 1.0762 1.0374
No log 5.8182 384 1.1035 0.2463 1.1035 1.0505
No log 5.8485 386 1.2098 0.2541 1.2098 1.0999
No log 5.8788 388 1.3949 0.2539 1.3949 1.1811
No log 5.9091 390 1.4492 0.2551 1.4492 1.2038
No log 5.9394 392 1.3660 0.2993 1.3660 1.1688
No log 5.9697 394 1.1816 0.3341 1.1816 1.0870
No log 6.0 396 1.0729 0.2347 1.0729 1.0358
No log 6.0303 398 1.1074 0.2440 1.1074 1.0523
No log 6.0606 400 1.1174 0.2514 1.1174 1.0571
No log 6.0909 402 1.0755 0.2147 1.0755 1.0371
No log 6.1212 404 1.0949 0.2605 1.0949 1.0464
No log 6.1515 406 1.1234 0.2632 1.1234 1.0599
No log 6.1818 408 1.0918 0.2674 1.0918 1.0449
No log 6.2121 410 1.0659 0.2166 1.0659 1.0324
No log 6.2424 412 1.1638 0.2311 1.1638 1.0788
No log 6.2727 414 1.1926 0.2311 1.1926 1.0921
No log 6.3030 416 1.1183 0.2714 1.1183 1.0575
No log 6.3333 418 1.0409 0.2279 1.0409 1.0202
No log 6.3636 420 1.0417 0.2954 1.0417 1.0206
No log 6.3939 422 1.0503 0.3398 1.0503 1.0248
No log 6.4242 424 1.0461 0.1953 1.0461 1.0228
No log 6.4545 426 1.0313 0.2721 1.0313 1.0155
No log 6.4848 428 1.0241 0.2721 1.0241 1.0120
No log 6.5152 430 1.0030 0.1616 1.0030 1.0015
No log 6.5455 432 0.9974 0.1767 0.9974 0.9987
No log 6.5758 434 0.9985 0.2528 0.9985 0.9993
No log 6.6061 436 1.0431 0.2929 1.0431 1.0213
No log 6.6364 438 1.1055 0.3290 1.1055 1.0514
No log 6.6667 440 1.1462 0.3191 1.1462 1.0706
No log 6.6970 442 1.1460 0.3390 1.1460 1.0705
No log 6.7273 444 1.1394 0.3662 1.1394 1.0674
No log 6.7576 446 1.1234 0.3103 1.1234 1.0599
No log 6.7879 448 1.1158 0.3310 1.1158 1.0563
No log 6.8182 450 1.0824 0.2562 1.0824 1.0404
No log 6.8485 452 1.0710 0.2562 1.0710 1.0349
No log 6.8788 454 1.0233 0.2360 1.0233 1.0116
No log 6.9091 456 0.9958 0.3056 0.9958 0.9979
No log 6.9394 458 0.9988 0.3056 0.9988 0.9994
No log 6.9697 460 1.0327 0.3268 1.0327 1.0162
No log 7.0 462 1.0955 0.3807 1.0955 1.0466
No log 7.0303 464 1.1703 0.3649 1.1703 1.0818
No log 7.0606 466 1.1312 0.3844 1.1312 1.0636
No log 7.0909 468 1.0589 0.3572 1.0589 1.0290
No log 7.1212 470 1.0248 0.3097 1.0248 1.0123
No log 7.1515 472 1.0646 0.3250 1.0646 1.0318
No log 7.1818 474 1.0746 0.2807 1.0746 1.0366
No log 7.2121 476 1.0914 0.2669 1.0914 1.0447
No log 7.2424 478 1.1057 0.2255 1.1057 1.0515
No log 7.2727 480 1.1203 0.1693 1.1203 1.0584
No log 7.3030 482 1.1261 0.1812 1.1261 1.0612
No log 7.3333 484 1.1233 0.2654 1.1233 1.0599
No log 7.3636 486 1.1429 0.3732 1.1429 1.0691
No log 7.3939 488 1.1251 0.3732 1.1251 1.0607
No log 7.4242 490 1.1030 0.3463 1.1030 1.0502
No log 7.4545 492 1.1154 0.3621 1.1154 1.0561
No log 7.4848 494 1.1340 0.3103 1.1340 1.0649
No log 7.5152 496 1.1288 0.3399 1.1288 1.0624
No log 7.5455 498 1.1201 0.3124 1.1201 1.0584
0.3276 7.5758 500 1.1081 0.3124 1.1081 1.0527
0.3276 7.6061 502 1.1158 0.2321 1.1158 1.0563
0.3276 7.6364 504 1.1575 0.2087 1.1575 1.0759
0.3276 7.6667 506 1.1858 0.2519 1.1858 1.0889
0.3276 7.6970 508 1.2180 0.3207 1.2180 1.1037
0.3276 7.7273 510 1.2349 0.2882 1.2349 1.1113
0.3276 7.7576 512 1.1802 0.3207 1.1802 1.0864
0.3276 7.7879 514 1.1455 0.3357 1.1455 1.0703
0.3276 7.8182 516 1.1076 0.3089 1.1076 1.0524
0.3276 7.8485 518 1.1125 0.2628 1.1125 1.0548
0.3276 7.8788 520 1.0688 0.1808 1.0688 1.0338
0.3276 7.9091 522 1.0655 0.2147 1.0655 1.0322
0.3276 7.9394 524 1.0738 0.2003 1.0738 1.0363

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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