ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k6_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: 1.1639
  • Qwk: 0.0980
  • Mse: 1.1639
  • Rmse: 1.0788

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 0.1111 2 4.5909 0.0010 4.5909 2.1426
No log 0.2222 4 2.6316 0.0426 2.6316 1.6222
No log 0.3333 6 2.1548 0.0879 2.1548 1.4679
No log 0.4444 8 1.8800 0.0198 1.8800 1.3711
No log 0.5556 10 1.9055 -0.0492 1.9055 1.3804
No log 0.6667 12 1.6197 -0.0061 1.6197 1.2727
No log 0.7778 14 1.5143 0.0331 1.5143 1.2306
No log 0.8889 16 1.5349 0.0082 1.5349 1.2389
No log 1.0 18 1.4552 0.0297 1.4552 1.2063
No log 1.1111 20 1.3219 0.0918 1.3219 1.1498
No log 1.2222 22 1.2962 0.1495 1.2962 1.1385
No log 1.3333 24 1.3356 0.1845 1.3356 1.1557
No log 1.4444 26 1.4387 0.1502 1.4387 1.1995
No log 1.5556 28 1.4388 0.1279 1.4388 1.1995
No log 1.6667 30 1.4168 0.1396 1.4168 1.1903
No log 1.7778 32 1.3277 0.1387 1.3277 1.1522
No log 1.8889 34 1.3205 0.1118 1.3205 1.1491
No log 2.0 36 1.2946 0.1059 1.2946 1.1378
No log 2.1111 38 1.3113 0.3019 1.3113 1.1451
No log 2.2222 40 1.4296 0.1501 1.4296 1.1957
No log 2.3333 42 1.5130 0.1364 1.5130 1.2300
No log 2.4444 44 1.5160 0.1689 1.5160 1.2313
No log 2.5556 46 1.3871 0.0156 1.3871 1.1777
No log 2.6667 48 1.3058 0.2105 1.3058 1.1427
No log 2.7778 50 1.2884 0.1898 1.2884 1.1351
No log 2.8889 52 1.2691 0.1950 1.2691 1.1265
No log 3.0 54 1.2310 0.2410 1.2310 1.1095
No log 3.1111 56 1.2108 0.2779 1.2108 1.1004
No log 3.2222 58 1.1830 0.3081 1.1830 1.0877
No log 3.3333 60 1.2417 0.1455 1.2417 1.1143
No log 3.4444 62 1.4674 0.0588 1.4674 1.2114
No log 3.5556 64 1.4909 0.0967 1.4909 1.2210
No log 3.6667 66 1.2633 0.1363 1.2633 1.1240
No log 3.7778 68 1.1849 0.2567 1.1849 1.0885
No log 3.8889 70 1.2087 0.2970 1.2087 1.0994
No log 4.0 72 1.4393 0.1855 1.4393 1.1997
No log 4.1111 74 1.3820 0.1280 1.3820 1.1756
No log 4.2222 76 1.3226 0.1493 1.3226 1.1501
No log 4.3333 78 1.3612 0.0314 1.3612 1.1667
No log 4.4444 80 1.1886 0.2244 1.1886 1.0902
No log 4.5556 82 1.2311 0.2275 1.2311 1.1096
No log 4.6667 84 1.3720 0.3867 1.3720 1.1713
No log 4.7778 86 1.2772 0.3467 1.2772 1.1301
No log 4.8889 88 1.0877 0.3982 1.0877 1.0429
No log 5.0 90 1.1192 0.4167 1.1192 1.0579
No log 5.1111 92 1.3333 0.3699 1.3333 1.1547
No log 5.2222 94 1.2835 0.3478 1.2835 1.1329
No log 5.3333 96 1.1923 0.2418 1.1923 1.0919
No log 5.4444 98 1.2103 0.2634 1.2103 1.1002
No log 5.5556 100 1.0950 0.3046 1.0950 1.0464
No log 5.6667 102 0.9911 0.3834 0.9911 0.9955
No log 5.7778 104 1.0312 0.2976 1.0312 1.0155
No log 5.8889 106 1.1158 0.3325 1.1158 1.0563
No log 6.0 108 1.3200 0.2757 1.3200 1.1489
No log 6.1111 110 1.4388 0.3026 1.4388 1.1995
No log 6.2222 112 1.2375 0.3136 1.2375 1.1124
No log 6.3333 114 0.9966 0.1977 0.9966 0.9983
No log 6.4444 116 1.0231 0.2871 1.0231 1.0115
No log 6.5556 118 1.0294 0.3205 1.0294 1.0146
No log 6.6667 120 1.0046 0.3237 1.0046 1.0023
No log 6.7778 122 1.1582 0.3540 1.1582 1.0762
No log 6.8889 124 1.4659 0.3667 1.4659 1.2107
No log 7.0 126 1.6674 0.2691 1.6674 1.2913
No log 7.1111 128 1.5963 0.3116 1.5963 1.2634
No log 7.2222 130 1.3107 0.3824 1.3107 1.1448
No log 7.3333 132 1.0748 0.2637 1.0748 1.0367
No log 7.4444 134 1.0198 0.3729 1.0198 1.0099
No log 7.5556 136 1.0453 0.3979 1.0453 1.0224
No log 7.6667 138 1.1221 0.3758 1.1221 1.0593
No log 7.7778 140 1.3765 0.3706 1.3765 1.1733
No log 7.8889 142 1.4434 0.3620 1.4434 1.2014
No log 8.0 144 1.2476 0.3536 1.2476 1.1170
No log 8.1111 146 1.1072 0.4236 1.1072 1.0522
No log 8.2222 148 1.1204 0.3764 1.1204 1.0585
No log 8.3333 150 1.1503 0.2716 1.1503 1.0725
No log 8.4444 152 1.1524 0.2409 1.1524 1.0735
No log 8.5556 154 1.2318 0.2141 1.2318 1.1099
No log 8.6667 156 1.2683 0.2141 1.2683 1.1262
No log 8.7778 158 1.3557 0.1801 1.3557 1.1643
No log 8.8889 160 1.2905 0.1989 1.2905 1.1360
No log 9.0 162 1.1698 0.2417 1.1698 1.0816
No log 9.1111 164 1.1026 0.2528 1.1026 1.0500
No log 9.2222 166 1.1109 0.2512 1.1109 1.0540
No log 9.3333 168 1.2046 0.3528 1.2046 1.0975
No log 9.4444 170 1.5024 0.3404 1.5024 1.2257
No log 9.5556 172 1.5841 0.3667 1.5841 1.2586
No log 9.6667 174 1.4057 0.3324 1.4057 1.1856
No log 9.7778 176 1.1594 0.3237 1.1594 1.0768
No log 9.8889 178 1.0531 0.2432 1.0531 1.0262
No log 10.0 180 1.0693 0.2965 1.0693 1.0341
No log 10.1111 182 1.0539 0.2822 1.0539 1.0266
No log 10.2222 184 1.1260 0.2065 1.1260 1.0611
No log 10.3333 186 1.2724 0.1801 1.2724 1.1280
No log 10.4444 188 1.4703 0.3005 1.4703 1.2125
No log 10.5556 190 1.4864 0.3595 1.4864 1.2192
No log 10.6667 192 1.3475 0.3293 1.3475 1.1608
No log 10.7778 194 1.1755 0.3365 1.1755 1.0842
No log 10.8889 196 1.0817 0.3624 1.0817 1.0401
No log 11.0 198 1.1336 0.3294 1.1336 1.0647
No log 11.1111 200 1.2318 0.375 1.2318 1.1099
No log 11.2222 202 1.3285 0.3545 1.3285 1.1526
No log 11.3333 204 1.2536 0.2337 1.2536 1.1197
No log 11.4444 206 1.1830 0.2693 1.1830 1.0877
No log 11.5556 208 1.1563 0.2693 1.1563 1.0753
No log 11.6667 210 1.1386 0.2664 1.1386 1.0670
No log 11.7778 212 1.0487 0.3165 1.0487 1.0241
No log 11.8889 214 1.0241 0.2673 1.0241 1.0120
No log 12.0 216 1.0397 0.3165 1.0397 1.0196
No log 12.1111 218 1.0442 0.3547 1.0442 1.0218
No log 12.2222 220 1.1068 0.2844 1.1068 1.0520
No log 12.3333 222 1.2119 0.3136 1.2119 1.1009
No log 12.4444 224 1.2517 0.3047 1.2517 1.1188
No log 12.5556 226 1.2658 0.3621 1.2658 1.1251
No log 12.6667 228 1.2580 0.3429 1.2580 1.1216
No log 12.7778 230 1.2436 0.3621 1.2436 1.1152
No log 12.8889 232 1.1151 0.3491 1.1151 1.0560
No log 13.0 234 1.0642 0.3154 1.0642 1.0316
No log 13.1111 236 1.1236 0.2745 1.1236 1.0600
No log 13.2222 238 1.2899 0.2132 1.2899 1.1357
No log 13.3333 240 1.3998 0.2704 1.3998 1.1831
No log 13.4444 242 1.4100 0.2985 1.4100 1.1874
No log 13.5556 244 1.2562 0.3155 1.2562 1.1208
No log 13.6667 246 1.1059 0.2604 1.1059 1.0516
No log 13.7778 248 1.0433 0.2678 1.0433 1.0214
No log 13.8889 250 1.0441 0.2678 1.0441 1.0218
No log 14.0 252 1.0686 0.1969 1.0686 1.0337
No log 14.1111 254 1.2406 0.3461 1.2406 1.1138
No log 14.2222 256 1.3861 0.3431 1.3861 1.1773
No log 14.3333 258 1.3604 0.3418 1.3604 1.1664
No log 14.4444 260 1.2057 0.3726 1.2057 1.0980
No log 14.5556 262 1.0513 0.4031 1.0513 1.0254
No log 14.6667 264 0.9978 0.3408 0.9978 0.9989
No log 14.7778 266 1.0044 0.3117 1.0044 1.0022
No log 14.8889 268 1.0863 0.3864 1.0863 1.0423
No log 15.0 270 1.2368 0.3277 1.2368 1.1121
No log 15.1111 272 1.2501 0.2807 1.2501 1.1181
No log 15.2222 274 1.2606 0.2122 1.2606 1.1228
No log 15.3333 276 1.1610 0.1943 1.1610 1.0775
No log 15.4444 278 1.0571 0.3243 1.0571 1.0282
No log 15.5556 280 1.0469 0.3144 1.0469 1.0232
No log 15.6667 282 1.1107 0.3579 1.1107 1.0539
No log 15.7778 284 1.1205 0.3579 1.1205 1.0585
No log 15.8889 286 1.0857 0.3908 1.0857 1.0420
No log 16.0 288 1.0819 0.3816 1.0819 1.0401
No log 16.1111 290 1.1108 0.3667 1.1108 1.0540
No log 16.2222 292 1.1749 0.3978 1.1749 1.0839
No log 16.3333 294 1.1759 0.3488 1.1759 1.0844
No log 16.4444 296 1.1995 0.2037 1.1995 1.0952
No log 16.5556 298 1.2013 0.1692 1.2013 1.0960
No log 16.6667 300 1.2382 0.1991 1.2382 1.1127
No log 16.7778 302 1.2207 0.2424 1.2207 1.1049
No log 16.8889 304 1.1421 0.2570 1.1421 1.0687
No log 17.0 306 1.0664 0.2454 1.0664 1.0327
No log 17.1111 308 1.0722 0.2343 1.0722 1.0355
No log 17.2222 310 1.1484 0.3072 1.1484 1.0716
No log 17.3333 312 1.2564 0.2931 1.2564 1.1209
No log 17.4444 314 1.2311 0.2931 1.2311 1.1095
No log 17.5556 316 1.1095 0.2714 1.1095 1.0533
No log 17.6667 318 1.0496 0.3517 1.0496 1.0245
No log 17.7778 320 1.0576 0.3897 1.0576 1.0284
No log 17.8889 322 1.1291 0.3870 1.1291 1.0626
No log 18.0 324 1.2394 0.3301 1.2394 1.1133
No log 18.1111 326 1.2576 0.3301 1.2576 1.1214
No log 18.2222 328 1.1806 0.3474 1.1806 1.0865
No log 18.3333 330 1.1573 0.3292 1.1573 1.0758
No log 18.4444 332 1.2258 0.3501 1.2258 1.1072
No log 18.5556 334 1.2613 0.3243 1.2613 1.1231
No log 18.6667 336 1.2163 0.2931 1.2163 1.1029
No log 18.7778 338 1.1390 0.2291 1.1390 1.0672
No log 18.8889 340 1.0419 0.2551 1.0419 1.0208
No log 19.0 342 1.0180 0.2865 1.0180 1.0090
No log 19.1111 344 1.0599 0.3489 1.0599 1.0295
No log 19.2222 346 1.2061 0.3187 1.2061 1.0982
No log 19.3333 348 1.3410 0.3113 1.3410 1.1580
No log 19.4444 350 1.3566 0.2870 1.3566 1.1647
No log 19.5556 352 1.2729 0.2037 1.2729 1.1282
No log 19.6667 354 1.2635 0.2037 1.2635 1.1240
No log 19.7778 356 1.2491 0.1745 1.2491 1.1176
No log 19.8889 358 1.2438 0.1745 1.2438 1.1153
No log 20.0 360 1.3018 0.2037 1.3018 1.1410
No log 20.1111 362 1.3097 0.2037 1.3097 1.1444
No log 20.2222 364 1.2592 0.1944 1.2592 1.1221
No log 20.3333 366 1.1952 0.1741 1.1952 1.0933
No log 20.4444 368 1.2035 0.2348 1.2035 1.0971
No log 20.5556 370 1.3346 0.2647 1.3346 1.1552
No log 20.6667 372 1.4056 0.3113 1.4056 1.1856
No log 20.7778 374 1.4358 0.3093 1.4358 1.1983
No log 20.8889 376 1.3472 0.2586 1.3472 1.1607
No log 21.0 378 1.2391 0.2424 1.2391 1.1132
No log 21.1111 380 1.1411 0.1795 1.1411 1.0682
No log 21.2222 382 1.1377 0.1952 1.1377 1.0666
No log 21.3333 384 1.1263 0.2108 1.1263 1.0613
No log 21.4444 386 1.1283 0.2009 1.1283 1.0622
No log 21.5556 388 1.1902 0.2424 1.1902 1.0910
No log 21.6667 390 1.2832 0.2037 1.2832 1.1328
No log 21.7778 392 1.3285 0.2037 1.3285 1.1526
No log 21.8889 394 1.2971 0.2037 1.2971 1.1389
No log 22.0 396 1.2454 0.1745 1.2454 1.1160
No log 22.1111 398 1.1827 0.1379 1.1827 1.0875
No log 22.2222 400 1.1506 0.1952 1.1506 1.0727
No log 22.3333 402 1.1399 0.1853 1.1399 1.0676
No log 22.4444 404 1.1973 0.2570 1.1973 1.0942
No log 22.5556 406 1.2980 0.2844 1.2980 1.1393
No log 22.6667 408 1.4173 0.3006 1.4173 1.1905
No log 22.7778 410 1.4319 0.3006 1.4319 1.1966
No log 22.8889 412 1.3616 0.2817 1.3616 1.1669
No log 23.0 414 1.2204 0.1053 1.2204 1.1047
No log 23.1111 416 1.1694 0.1582 1.1694 1.0814
No log 23.2222 418 1.1942 0.1148 1.1942 1.0928
No log 23.3333 420 1.1838 0.1582 1.1838 1.0880
No log 23.4444 422 1.1872 0.1582 1.1872 1.0896
No log 23.5556 424 1.2208 0.1952 1.2208 1.1049
No log 23.6667 426 1.2195 0.25 1.2195 1.1043
No log 23.7778 428 1.1903 0.1853 1.1903 1.0910
No log 23.8889 430 1.1595 0.1541 1.1595 1.0768
No log 24.0 432 1.1517 0.1480 1.1517 1.0732
No log 24.1111 434 1.1788 0.1480 1.1788 1.0857
No log 24.2222 436 1.2334 0.1053 1.2334 1.1106
No log 24.3333 438 1.2255 0.1479 1.2255 1.1070
No log 24.4444 440 1.2803 0.1379 1.2803 1.1315
No log 24.5556 442 1.3194 0.1379 1.3194 1.1487
No log 24.6667 444 1.2833 0.1379 1.2833 1.1328
No log 24.7778 446 1.1947 0.1541 1.1947 1.0930
No log 24.8889 448 1.1518 0.1480 1.1518 1.0732
No log 25.0 450 1.1365 0.1645 1.1365 1.0661
No log 25.1111 452 1.1702 0.1480 1.1702 1.0818
No log 25.2222 454 1.2322 0.1538 1.2322 1.1100
No log 25.3333 456 1.2827 0.1379 1.2827 1.1326
No log 25.4444 458 1.2906 0.1379 1.2906 1.1360
No log 25.5556 460 1.2466 0.1379 1.2466 1.1165
No log 25.6667 462 1.2246 0.1441 1.2246 1.1066
No log 25.7778 464 1.1969 0.1441 1.1969 1.0940
No log 25.8889 466 1.1573 0.1853 1.1573 1.0758
No log 26.0 468 1.0954 0.2290 1.0954 1.0466
No log 26.1111 470 1.0630 0.2188 1.0630 1.0310
No log 26.2222 472 1.0494 0.2188 1.0494 1.0244
No log 26.3333 474 1.0768 0.2587 1.0768 1.0377
No log 26.4444 476 1.1617 0.1903 1.1617 1.0778
No log 26.5556 478 1.2895 0.2424 1.2895 1.1355
No log 26.6667 480 1.3490 0.2941 1.3490 1.1615
No log 26.7778 482 1.2979 0.2457 1.2979 1.1392
No log 26.8889 484 1.1856 0.2195 1.1856 1.0889
No log 27.0 486 1.0759 0.2621 1.0759 1.0372
No log 27.1111 488 1.0464 0.2605 1.0464 1.0229
No log 27.2222 490 1.0629 0.2290 1.0629 1.0310
No log 27.3333 492 1.1189 0.1961 1.1189 1.0578
No log 27.4444 494 1.2386 0.1379 1.2386 1.1129
No log 27.5556 496 1.3307 0.2278 1.3307 1.1536
No log 27.6667 498 1.3407 0.2278 1.3407 1.1579
0.3017 27.7778 500 1.2803 0.1991 1.2803 1.1315
0.3017 27.8889 502 1.2134 0.2141 1.2134 1.1015
0.3017 28.0 504 1.1330 0.1853 1.1330 1.0644
0.3017 28.1111 506 1.0979 0.2164 1.0979 1.0478
0.3017 28.2222 508 1.1210 0.2263 1.1210 1.0588
0.3017 28.3333 510 1.1745 0.2439 1.1745 1.0837
0.3017 28.4444 512 1.1997 0.2141 1.1997 1.0953
0.3017 28.5556 514 1.1894 0.1991 1.1894 1.0906
0.3017 28.6667 516 1.1816 0.1991 1.1816 1.0870
0.3017 28.7778 518 1.1871 0.1944 1.1871 1.0896
0.3017 28.8889 520 1.1899 0.1379 1.1899 1.0908
0.3017 29.0 522 1.1639 0.0980 1.1639 1.0788

Framework versions

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