ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k4_task2_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: 1.2732
  • Qwk: 0.3004
  • Mse: 1.2732
  • Rmse: 1.1284

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 0.1333 2 4.6387 -0.0132 4.6387 2.1538
No log 0.2667 4 3.4697 -0.0119 3.4697 1.8627
No log 0.4 6 1.8473 0.0504 1.8473 1.3591
No log 0.5333 8 1.5607 0.0227 1.5607 1.2493
No log 0.6667 10 1.6511 0.0082 1.6511 1.2850
No log 0.8 12 1.6908 -0.0064 1.6908 1.3003
No log 0.9333 14 1.5828 -0.0277 1.5828 1.2581
No log 1.0667 16 1.3686 0.0961 1.3686 1.1699
No log 1.2 18 1.5185 0.1533 1.5185 1.2323
No log 1.3333 20 1.5982 0.0504 1.5982 1.2642
No log 1.4667 22 1.5629 0.0772 1.5629 1.2502
No log 1.6 24 1.5336 0.0905 1.5336 1.2384
No log 1.7333 26 1.5278 0.0905 1.5278 1.2360
No log 1.8667 28 1.8552 0.0946 1.8552 1.3621
No log 2.0 30 1.8364 0.1202 1.8364 1.3551
No log 2.1333 32 1.6756 0.2002 1.6756 1.2944
No log 2.2667 34 1.8821 0.0972 1.8821 1.3719
No log 2.4 36 1.9304 0.1147 1.9304 1.3894
No log 2.5333 38 1.5921 0.2638 1.5921 1.2618
No log 2.6667 40 1.1573 0.2516 1.1573 1.0758
No log 2.8 42 1.1019 0.2467 1.1019 1.0497
No log 2.9333 44 1.2262 0.2516 1.2262 1.1073
No log 3.0667 46 1.5889 0.2005 1.5889 1.2605
No log 3.2 48 1.9585 0.1995 1.9585 1.3995
No log 3.3333 50 1.9105 0.2060 1.9105 1.3822
No log 3.4667 52 1.4605 0.0796 1.4605 1.2085
No log 3.6 54 1.2494 0.2439 1.2494 1.1178
No log 3.7333 56 1.1659 0.2432 1.1659 1.0798
No log 3.8667 58 1.1465 0.2672 1.1465 1.0707
No log 4.0 60 1.2522 0.3075 1.2522 1.1190
No log 4.1333 62 1.7916 0.1913 1.7916 1.3385
No log 4.2667 64 2.2053 0.1188 2.2053 1.4850
No log 4.4 66 2.3862 0.1393 2.3862 1.5447
No log 4.5333 68 1.8249 0.2049 1.8249 1.3509
No log 4.6667 70 1.5075 0.3184 1.5075 1.2278
No log 4.8 72 1.2182 0.2464 1.2182 1.1037
No log 4.9333 74 1.1606 0.2561 1.1606 1.0773
No log 5.0667 76 1.1812 0.2871 1.1812 1.0868
No log 5.2 78 1.2700 0.2864 1.2700 1.1269
No log 5.3333 80 1.3254 0.2202 1.3254 1.1513
No log 5.4667 82 1.3166 0.2690 1.3166 1.1474
No log 5.6 84 1.3980 0.2607 1.3980 1.1824
No log 5.7333 86 1.4704 0.2982 1.4704 1.2126
No log 5.8667 88 1.6627 0.2429 1.6627 1.2894
No log 6.0 90 1.6842 0.2256 1.6842 1.2978
No log 6.1333 92 1.3750 0.3496 1.3750 1.1726
No log 6.2667 94 1.1467 0.3399 1.1467 1.0708
No log 6.4 96 1.1091 0.2925 1.1091 1.0531
No log 6.5333 98 1.3070 0.3737 1.3070 1.1433
No log 6.6667 100 1.7268 0.2336 1.7268 1.3141
No log 6.8 102 1.6630 0.2132 1.6630 1.2896
No log 6.9333 104 1.2172 0.4420 1.2172 1.1033
No log 7.0667 106 1.1101 0.3162 1.1101 1.0536
No log 7.2 108 1.1675 0.3596 1.1675 1.0805
No log 7.3333 110 1.4808 0.1745 1.4808 1.2169
No log 7.4667 112 1.5570 0.2270 1.5570 1.2478
No log 7.6 114 1.3654 0.2266 1.3654 1.1685
No log 7.7333 116 1.2026 0.3231 1.2026 1.0966
No log 7.8667 118 1.1882 0.2947 1.1882 1.0900
No log 8.0 120 1.3026 0.2964 1.3027 1.1413
No log 8.1333 122 1.7009 0.2435 1.7009 1.3042
No log 8.2667 124 1.8050 0.1582 1.8050 1.3435
No log 8.4 126 1.4809 0.2679 1.4809 1.2169
No log 8.5333 128 1.1355 0.3480 1.1355 1.0656
No log 8.6667 130 1.0843 0.3741 1.0843 1.0413
No log 8.8 132 1.1732 0.3761 1.1732 1.0831
No log 8.9333 134 1.2577 0.3512 1.2577 1.1215
No log 9.0667 136 1.2582 0.3512 1.2582 1.1217
No log 9.2 138 1.3736 0.3451 1.3736 1.1720
No log 9.3333 140 1.2748 0.3570 1.2748 1.1291
No log 9.4667 142 1.1715 0.3902 1.1715 1.0824
No log 9.6 144 1.1813 0.3902 1.1813 1.0869
No log 9.7333 146 1.1389 0.3960 1.1389 1.0672
No log 9.8667 148 1.1759 0.4191 1.1759 1.0844
No log 10.0 150 1.3434 0.3766 1.3434 1.1591
No log 10.1333 152 1.3032 0.3650 1.3032 1.1416
No log 10.2667 154 1.1262 0.4191 1.1262 1.0612
No log 10.4 156 1.0610 0.3826 1.0610 1.0300
No log 10.5333 158 1.0370 0.3782 1.0370 1.0183
No log 10.6667 160 1.0846 0.3948 1.0846 1.0414
No log 10.8 162 1.2655 0.3490 1.2655 1.1249
No log 10.9333 164 1.3396 0.3722 1.3396 1.1574
No log 11.0667 166 1.1972 0.3354 1.1972 1.0941
No log 11.2 168 1.0343 0.3312 1.0343 1.0170
No log 11.3333 170 1.0308 0.3741 1.0308 1.0153
No log 11.4667 172 1.1362 0.4018 1.1362 1.0659
No log 11.6 174 1.2405 0.3233 1.2405 1.1138
No log 11.7333 176 1.2316 0.3454 1.2316 1.1098
No log 11.8667 178 1.1403 0.3330 1.1403 1.0679
No log 12.0 180 1.0480 0.4102 1.0480 1.0237
No log 12.1333 182 1.0799 0.3859 1.0799 1.0392
No log 12.2667 184 1.2222 0.2944 1.2222 1.1055
No log 12.4 186 1.2476 0.3004 1.2476 1.1169
No log 12.5333 188 1.2075 0.3254 1.2075 1.0988
No log 12.6667 190 1.1608 0.4122 1.1608 1.0774
No log 12.8 192 1.0637 0.4176 1.0637 1.0314
No log 12.9333 194 1.0208 0.3902 1.0208 1.0104
No log 13.0667 196 1.0406 0.3678 1.0406 1.0201
No log 13.2 198 1.1566 0.3949 1.1566 1.0755
No log 13.3333 200 1.3621 0.3219 1.3621 1.1671
No log 13.4667 202 1.3419 0.3168 1.3419 1.1584
No log 13.6 204 1.1662 0.3431 1.1662 1.0799
No log 13.7333 206 1.0896 0.3707 1.0896 1.0438
No log 13.8667 208 1.0714 0.3707 1.0714 1.0351
No log 14.0 210 1.1376 0.3215 1.1376 1.0666
No log 14.1333 212 1.1890 0.3839 1.1890 1.0904
No log 14.2667 214 1.3203 0.3304 1.3203 1.1491
No log 14.4 216 1.4305 0.3019 1.4305 1.1960
No log 14.5333 218 1.2809 0.3622 1.2809 1.1318
No log 14.6667 220 1.1417 0.4139 1.1417 1.0685
No log 14.8 222 1.0977 0.3952 1.0977 1.0477
No log 14.9333 224 1.1633 0.4139 1.1633 1.0786
No log 15.0667 226 1.2192 0.3111 1.2192 1.1042
No log 15.2 228 1.2030 0.3410 1.2030 1.0968
No log 15.3333 230 1.1568 0.3798 1.1568 1.0756
No log 15.4667 232 1.1621 0.3798 1.1621 1.0780
No log 15.6 234 1.2693 0.3026 1.2693 1.1266
No log 15.7333 236 1.1874 0.3798 1.1874 1.0897
No log 15.8667 238 1.1433 0.3976 1.1433 1.0693
No log 16.0 240 1.1103 0.4156 1.1103 1.0537
No log 16.1333 242 1.0872 0.3767 1.0872 1.0427
No log 16.2667 244 1.1613 0.3672 1.1613 1.0776
No log 16.4 246 1.2633 0.3188 1.2633 1.1240
No log 16.5333 248 1.3342 0.2890 1.3342 1.1551
No log 16.6667 250 1.1906 0.3382 1.1906 1.0911
No log 16.8 252 1.1196 0.3941 1.1196 1.0581
No log 16.9333 254 1.0562 0.4297 1.0562 1.0277
No log 17.0667 256 1.0841 0.3868 1.0841 1.0412
No log 17.2 258 1.2331 0.3701 1.2331 1.1105
No log 17.3333 260 1.2397 0.3467 1.2397 1.1134
No log 17.4667 262 1.1326 0.4055 1.1326 1.0643
No log 17.6 264 1.0830 0.3691 1.0830 1.0406
No log 17.7333 266 1.0990 0.3735 1.0990 1.0483
No log 17.8667 268 1.1734 0.3856 1.1734 1.0832
No log 18.0 270 1.1450 0.3935 1.1450 1.0701
No log 18.1333 272 1.1663 0.4125 1.1663 1.0799
No log 18.2667 274 1.2475 0.4186 1.2475 1.1169
No log 18.4 276 1.2421 0.3778 1.2421 1.1145
No log 18.5333 278 1.2476 0.3772 1.2476 1.1170
No log 18.6667 280 1.2205 0.3730 1.2205 1.1048
No log 18.8 282 1.1098 0.3675 1.1098 1.0535
No log 18.9333 284 1.0790 0.3448 1.0790 1.0388
No log 19.0667 286 1.0822 0.3418 1.0822 1.0403
No log 19.2 288 1.1282 0.3602 1.1282 1.0622
No log 19.3333 290 1.2204 0.3339 1.2204 1.1047
No log 19.4667 292 1.2505 0.3395 1.2505 1.1183
No log 19.6 294 1.2391 0.3772 1.2391 1.1132
No log 19.7333 296 1.1866 0.3704 1.1866 1.0893
No log 19.8667 298 1.1210 0.3913 1.1210 1.0588
No log 20.0 300 1.1192 0.3797 1.1192 1.0579
No log 20.1333 302 1.1301 0.3832 1.1301 1.0630
No log 20.2667 304 1.1829 0.3768 1.1829 1.0876
No log 20.4 306 1.2852 0.3188 1.2852 1.1337
No log 20.5333 308 1.2508 0.3497 1.2508 1.1184
No log 20.6667 310 1.1702 0.3467 1.1702 1.0818
No log 20.8 312 1.1682 0.3606 1.1682 1.0808
No log 20.9333 314 1.2441 0.3719 1.2441 1.1154
No log 21.0667 316 1.3524 0.3462 1.3524 1.1629
No log 21.2 318 1.4332 0.2490 1.4332 1.1972
No log 21.3333 320 1.4024 0.3309 1.4024 1.1842
No log 21.4667 322 1.2674 0.3410 1.2674 1.1258
No log 21.6 324 1.1691 0.4021 1.1691 1.0812
No log 21.7333 326 1.1664 0.4021 1.1664 1.0800
No log 21.8667 328 1.2379 0.3410 1.2379 1.1126
No log 22.0 330 1.2314 0.3410 1.2314 1.1097
No log 22.1333 332 1.1950 0.3497 1.1950 1.0931
No log 22.2667 334 1.1623 0.3798 1.1623 1.0781
No log 22.4 336 1.1486 0.3798 1.1486 1.0717
No log 22.5333 338 1.1552 0.4009 1.1552 1.0748
No log 22.6667 340 1.1659 0.4009 1.1659 1.0798
No log 22.8 342 1.1761 0.4009 1.1761 1.0845
No log 22.9333 344 1.1383 0.4226 1.1383 1.0669
No log 23.0667 346 1.1241 0.4226 1.1241 1.0602
No log 23.2 348 1.2272 0.3918 1.2272 1.1078
No log 23.3333 350 1.3769 0.3585 1.3769 1.1734
No log 23.4667 352 1.4777 0.2321 1.4777 1.2156
No log 23.6 354 1.4214 0.3098 1.4214 1.1922
No log 23.7333 356 1.2157 0.4260 1.2157 1.1026
No log 23.8667 358 1.0952 0.3634 1.0952 1.0465
No log 24.0 360 1.0520 0.3056 1.0520 1.0257
No log 24.1333 362 1.1173 0.3887 1.1173 1.0570
No log 24.2667 364 1.2529 0.3959 1.2529 1.1193
No log 24.4 366 1.2727 0.3872 1.2727 1.1281
No log 24.5333 368 1.1507 0.4226 1.1507 1.0727
No log 24.6667 370 1.0521 0.3407 1.0521 1.0257
No log 24.8 372 1.0377 0.3441 1.0377 1.0187
No log 24.9333 374 1.0755 0.3862 1.0755 1.0370
No log 25.0667 376 1.2685 0.3872 1.2685 1.1263
No log 25.2 378 1.4239 0.2666 1.4239 1.1933
No log 25.3333 380 1.3698 0.2418 1.3698 1.1704
No log 25.4667 382 1.1803 0.4226 1.1803 1.0864
No log 25.6 384 1.0758 0.3694 1.0758 1.0372
No log 25.7333 386 1.0800 0.3353 1.0800 1.0392
No log 25.8667 388 1.1612 0.4015 1.1612 1.0776
No log 26.0 390 1.3012 0.3959 1.3012 1.1407
No log 26.1333 392 1.3451 0.3548 1.3451 1.1598
No log 26.2667 394 1.2461 0.3701 1.2461 1.1163
No log 26.4 396 1.1987 0.4015 1.1987 1.0948
No log 26.5333 398 1.1153 0.3459 1.1153 1.0561
No log 26.6667 400 1.0782 0.3855 1.0782 1.0383
No log 26.8 402 1.0725 0.3720 1.0725 1.0356
No log 26.9333 404 1.0992 0.3459 1.0992 1.0484
No log 27.0667 406 1.1278 0.3682 1.1278 1.0620
No log 27.2 408 1.1746 0.3497 1.1746 1.0838
No log 27.3333 410 1.1871 0.3719 1.1871 1.0896
No log 27.4667 412 1.1145 0.3682 1.1145 1.0557
No log 27.6 414 1.0560 0.3531 1.0560 1.0276
No log 27.7333 416 1.0356 0.3395 1.0356 1.0176
No log 27.8667 418 1.0426 0.3450 1.0426 1.0211
No log 28.0 420 1.0637 0.3415 1.0637 1.0314
No log 28.1333 422 1.1141 0.3375 1.1141 1.0555
No log 28.2667 424 1.1793 0.3897 1.1793 1.0860
No log 28.4 426 1.2656 0.3377 1.2656 1.1250
No log 28.5333 428 1.3953 0.3496 1.3953 1.1812
No log 28.6667 430 1.3711 0.3103 1.3711 1.1710
No log 28.8 432 1.2102 0.3701 1.2102 1.1001
No log 28.9333 434 1.0862 0.3519 1.0862 1.0422
No log 29.0667 436 1.0350 0.3490 1.0350 1.0173
No log 29.2 438 1.0363 0.3541 1.0363 1.0180
No log 29.3333 440 1.0855 0.3948 1.0855 1.0419
No log 29.4667 442 1.1579 0.3719 1.1579 1.0760
No log 29.6 444 1.2051 0.3410 1.2051 1.0978
No log 29.7333 446 1.2408 0.3612 1.2408 1.1139
No log 29.8667 448 1.2923 0.3660 1.2923 1.1368
No log 30.0 450 1.2811 0.3612 1.2811 1.1319
No log 30.1333 452 1.3339 0.3127 1.3339 1.1550
No log 30.2667 454 1.2889 0.3612 1.2889 1.1353
No log 30.4 456 1.1878 0.3137 1.1878 1.0899
No log 30.5333 458 1.0944 0.3877 1.0944 1.0461
No log 30.6667 460 1.0624 0.3579 1.0624 1.0307
No log 30.8 462 1.0602 0.4048 1.0602 1.0297
No log 30.9333 464 1.1102 0.3534 1.1102 1.0536
No log 31.0667 466 1.2097 0.3612 1.2097 1.0999
No log 31.2 468 1.2600 0.3523 1.2600 1.1225
No log 31.3333 470 1.2599 0.3523 1.2599 1.1225
No log 31.4667 472 1.2241 0.3612 1.2241 1.1064
No log 31.6 474 1.1561 0.3923 1.1561 1.0752
No log 31.7333 476 1.1075 0.3731 1.1075 1.0524
No log 31.8667 478 1.1162 0.3531 1.1162 1.0565
No log 32.0 480 1.1543 0.3385 1.1543 1.0744
No log 32.1333 482 1.2401 0.3612 1.2401 1.1136
No log 32.2667 484 1.3125 0.3133 1.3125 1.1457
No log 32.4 486 1.2494 0.3612 1.2494 1.1178
No log 32.5333 488 1.1414 0.3534 1.1414 1.0684
No log 32.6667 490 1.0884 0.3617 1.0884 1.0433
No log 32.8 492 1.0975 0.3531 1.0975 1.0476
No log 32.9333 494 1.1295 0.3843 1.1295 1.0628
No log 33.0667 496 1.2116 0.3701 1.2116 1.1007
No log 33.2 498 1.2424 0.3701 1.2424 1.1146
0.2673 33.3333 500 1.2709 0.3238 1.2709 1.1273
0.2673 33.4667 502 1.2440 0.3701 1.2440 1.1153
0.2673 33.6 504 1.1809 0.3701 1.1809 1.0867
0.2673 33.7333 506 1.1285 0.3939 1.1285 1.0623
0.2673 33.8667 508 1.1269 0.3939 1.1269 1.0615
0.2673 34.0 510 1.1685 0.3701 1.1685 1.0810
0.2673 34.1333 512 1.2190 0.3612 1.2190 1.1041
0.2673 34.2667 514 1.2106 0.3701 1.2106 1.1003
0.2673 34.4 516 1.1627 0.3404 1.1627 1.0783
0.2673 34.5333 518 1.1187 0.3363 1.1187 1.0577
0.2673 34.6667 520 1.0868 0.3694 1.0868 1.0425
0.2673 34.8 522 1.1025 0.3393 1.1025 1.0500
0.2673 34.9333 524 1.1332 0.3393 1.1332 1.0645
0.2673 35.0667 526 1.1874 0.3546 1.1874 1.0897
0.2673 35.2 528 1.2398 0.3633 1.2398 1.1135
0.2673 35.3333 530 1.2523 0.3633 1.2523 1.1191
0.2673 35.4667 532 1.2351 0.3584 1.2351 1.1114
0.2673 35.6 534 1.2782 0.3449 1.2782 1.1306
0.2673 35.7333 536 1.3466 0.2564 1.3466 1.1604
0.2673 35.8667 538 1.3441 0.2489 1.3441 1.1593
0.2673 36.0 540 1.3261 0.2631 1.3261 1.1516
0.2673 36.1333 542 1.2753 0.3471 1.2753 1.1293
0.2673 36.2667 544 1.2313 0.3415 1.2313 1.1096
0.2673 36.4 546 1.2289 0.3415 1.2289 1.1085
0.2673 36.5333 548 1.2395 0.3415 1.2395 1.1133
0.2673 36.6667 550 1.2231 0.3415 1.2231 1.1060
0.2673 36.8 552 1.2260 0.3471 1.2260 1.1072
0.2673 36.9333 554 1.3105 0.2704 1.3105 1.1448
0.2673 37.0667 556 1.4105 0.1863 1.4105 1.1876
0.2673 37.2 558 1.3872 0.2350 1.3872 1.1778
0.2673 37.3333 560 1.3131 0.2922 1.3131 1.1459
0.2673 37.4667 562 1.2732 0.3004 1.2732 1.1284

Framework versions

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