ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k15_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: 1.3600
  • Qwk: 0.2512
  • Mse: 1.3600
  • Rmse: 1.1662

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 0.0455 2 4.6087 0.0010 4.6087 2.1468
No log 0.0909 4 2.5724 -0.0019 2.5724 1.6039
No log 0.1364 6 1.9306 -0.0233 1.9306 1.3895
No log 0.1818 8 1.4330 0.0049 1.4330 1.1971
No log 0.2273 10 1.2337 0.1482 1.2337 1.1107
No log 0.2727 12 1.1956 0.2053 1.1956 1.0934
No log 0.3182 14 1.4167 0.0376 1.4167 1.1902
No log 0.3636 16 1.3460 0.0408 1.3460 1.1602
No log 0.4091 18 1.2523 0.0759 1.2523 1.1191
No log 0.4545 20 1.2759 0.1335 1.2759 1.1295
No log 0.5 22 1.3487 0.1671 1.3487 1.1613
No log 0.5455 24 1.4324 0.0934 1.4324 1.1968
No log 0.5909 26 1.4241 0.0731 1.4241 1.1934
No log 0.6364 28 1.3913 0.0639 1.3913 1.1795
No log 0.6818 30 1.5502 0.0758 1.5502 1.2451
No log 0.7273 32 1.6269 0.0858 1.6269 1.2755
No log 0.7727 34 1.4851 0.0865 1.4851 1.2186
No log 0.8182 36 1.3097 0.1168 1.3097 1.1444
No log 0.8636 38 1.2071 0.1753 1.2071 1.0987
No log 0.9091 40 1.1943 0.1979 1.1943 1.0928
No log 0.9545 42 1.1832 0.2188 1.1832 1.0878
No log 1.0 44 1.1670 0.2647 1.1670 1.0803
No log 1.0455 46 1.1723 0.2319 1.1723 1.0827
No log 1.0909 48 1.1501 0.2970 1.1501 1.0724
No log 1.1364 50 1.2479 0.125 1.2479 1.1171
No log 1.1818 52 1.2770 0.1046 1.2770 1.1301
No log 1.2273 54 1.1574 0.2343 1.1574 1.0758
No log 1.2727 56 1.0510 0.3804 1.0510 1.0252
No log 1.3182 58 1.0362 0.3596 1.0362 1.0179
No log 1.3636 60 1.0793 0.2995 1.0793 1.0389
No log 1.4091 62 1.1671 0.0970 1.1671 1.0803
No log 1.4545 64 1.1132 0.1780 1.1132 1.0551
No log 1.5 66 1.0441 0.3374 1.0441 1.0218
No log 1.5455 68 1.0681 0.3584 1.0681 1.0335
No log 1.5909 70 1.0868 0.3443 1.0868 1.0425
No log 1.6364 72 1.2061 0.3382 1.2061 1.0982
No log 1.6818 74 1.4195 0.2738 1.4195 1.1914
No log 1.7273 76 1.3714 0.2367 1.3714 1.1711
No log 1.7727 78 1.0364 0.2230 1.0364 1.0181
No log 1.8182 80 0.9803 0.4461 0.9803 0.9901
No log 1.8636 82 0.9838 0.4221 0.9838 0.9919
No log 1.9091 84 1.0472 0.2200 1.0472 1.0234
No log 1.9545 86 1.1750 0.1379 1.1750 1.0840
No log 2.0 88 1.3117 0.0692 1.3117 1.1453
No log 2.0455 90 1.4091 0.2032 1.4091 1.1871
No log 2.0909 92 1.2563 0.3413 1.2563 1.1209
No log 2.1364 94 0.9750 0.4142 0.9750 0.9874
No log 2.1818 96 0.9517 0.4599 0.9517 0.9756
No log 2.2273 98 0.9494 0.4120 0.9494 0.9744
No log 2.2727 100 1.1648 0.3949 1.1648 1.0793
No log 2.3182 102 1.6720 0.2479 1.6720 1.2931
No log 2.3636 104 1.6659 0.2891 1.6659 1.2907
No log 2.4091 106 1.3175 0.3694 1.3175 1.1478
No log 2.4545 108 1.0047 0.3953 1.0047 1.0023
No log 2.5 110 1.0098 0.3369 1.0098 1.0049
No log 2.5455 112 1.0537 0.1490 1.0537 1.0265
No log 2.5909 114 1.1725 0.2015 1.1725 1.0828
No log 2.6364 116 1.4222 0.0153 1.4222 1.1925
No log 2.6818 118 1.4652 0.0253 1.4652 1.2105
No log 2.7273 120 1.3337 0.1122 1.3337 1.1549
No log 2.7727 122 1.1054 0.1722 1.1054 1.0514
No log 2.8182 124 1.0963 0.3145 1.0963 1.0470
No log 2.8636 126 1.1056 0.2360 1.1056 1.0515
No log 2.9091 128 1.1990 0.1371 1.1990 1.0950
No log 2.9545 130 1.3150 0.2050 1.3150 1.1467
No log 3.0 132 1.3408 0.2222 1.3408 1.1579
No log 3.0455 134 1.3246 0.2221 1.3246 1.1509
No log 3.0909 136 1.3812 0.3162 1.3812 1.1752
No log 3.1364 138 1.4487 0.3525 1.4487 1.2036
No log 3.1818 140 1.3958 0.3159 1.3958 1.1814
No log 3.2273 142 1.3396 0.2863 1.3396 1.1574
No log 3.2727 144 1.2894 0.2611 1.2894 1.1355
No log 3.3182 146 1.2037 0.2671 1.2037 1.0971
No log 3.3636 148 1.1662 0.2925 1.1662 1.0799
No log 3.4091 150 1.1828 0.2246 1.1828 1.0876
No log 3.4545 152 1.2831 0.2606 1.2831 1.1328
No log 3.5 154 1.2796 0.3131 1.2796 1.1312
No log 3.5455 156 1.1948 0.3415 1.1948 1.0931
No log 3.5909 158 1.3320 0.3413 1.3320 1.1541
No log 3.6364 160 1.5762 0.2128 1.5762 1.2555
No log 3.6818 162 1.5817 0.1631 1.5817 1.2577
No log 3.7273 164 1.3896 0.3398 1.3896 1.1788
No log 3.7727 166 1.1470 0.3232 1.1470 1.0710
No log 3.8182 168 1.1249 0.2514 1.1249 1.0606
No log 3.8636 170 1.1028 0.2508 1.1028 1.0501
No log 3.9091 172 1.2112 0.2100 1.2112 1.1006
No log 3.9545 174 1.3822 0.1943 1.3822 1.1757
No log 4.0 176 1.6497 0.1559 1.6497 1.2844
No log 4.0455 178 1.8516 0.1525 1.8516 1.3607
No log 4.0909 180 1.8475 0.1775 1.8475 1.3592
No log 4.1364 182 1.5660 0.3283 1.5660 1.2514
No log 4.1818 184 1.2111 0.3540 1.2111 1.1005
No log 4.2273 186 1.0918 0.2997 1.0918 1.0449
No log 4.2727 188 1.1859 0.3540 1.1859 1.0890
No log 4.3182 190 1.3747 0.3590 1.3747 1.1725
No log 4.3636 192 1.5118 0.2619 1.5118 1.2295
No log 4.4091 194 1.4330 0.3814 1.4330 1.1971
No log 4.4545 196 1.1726 0.3540 1.1726 1.0828
No log 4.5 198 0.9560 0.4217 0.9560 0.9777
No log 4.5455 200 0.9405 0.4781 0.9405 0.9698
No log 4.5909 202 0.9498 0.4658 0.9498 0.9746
No log 4.6364 204 1.0526 0.3917 1.0526 1.0260
No log 4.6818 206 1.3722 0.3723 1.3722 1.1714
No log 4.7273 208 1.6918 0.1951 1.6918 1.3007
No log 4.7727 210 1.7217 0.1183 1.7217 1.3121
No log 4.8182 212 1.5589 0.1896 1.5589 1.2486
No log 4.8636 214 1.3771 0.2207 1.3771 1.1735
No log 4.9091 216 1.1631 0.1910 1.1631 1.0785
No log 4.9545 218 1.0251 0.1935 1.0251 1.0125
No log 5.0 220 1.0098 0.2939 1.0098 1.0049
No log 5.0455 222 1.0472 0.2327 1.0472 1.0233
No log 5.0909 224 1.2090 0.3308 1.2090 1.0995
No log 5.1364 226 1.3271 0.3502 1.3271 1.1520
No log 5.1818 228 1.3733 0.3364 1.3733 1.1719
No log 5.2273 230 1.4623 0.3423 1.4623 1.2093
No log 5.2727 232 1.4685 0.375 1.4685 1.2118
No log 5.3182 234 1.3277 0.3233 1.3277 1.1523
No log 5.3636 236 1.2552 0.3398 1.2552 1.1203
No log 5.4091 238 1.2543 0.3398 1.2543 1.1200
No log 5.4545 240 1.1595 0.3770 1.1595 1.0768
No log 5.5 242 1.1682 0.3770 1.1682 1.0808
No log 5.5455 244 1.2929 0.3474 1.2929 1.1370
No log 5.5909 246 1.3528 0.3207 1.3528 1.1631
No log 5.6364 248 1.3325 0.3146 1.3325 1.1543
No log 5.6818 250 1.3440 0.3146 1.3440 1.1593
No log 5.7273 252 1.3895 0.2931 1.3895 1.1788
No log 5.7727 254 1.3586 0.3554 1.3586 1.1656
No log 5.8182 256 1.3094 0.3089 1.3094 1.1443
No log 5.8636 258 1.2254 0.2883 1.2254 1.1070
No log 5.9091 260 1.2430 0.2826 1.2430 1.1149
No log 5.9545 262 1.3089 0.3303 1.3089 1.1441
No log 6.0 264 1.4166 0.3227 1.4166 1.1902
No log 6.0455 266 1.3950 0.3416 1.3950 1.1811
No log 6.0909 268 1.2629 0.2755 1.2629 1.1238
No log 6.1364 270 1.2140 0.2930 1.2140 1.1018
No log 6.1818 272 1.2128 0.3046 1.2128 1.1013
No log 6.2273 274 1.1759 0.2878 1.1759 1.0844
No log 6.2727 276 1.1725 0.2878 1.1725 1.0828
No log 6.3182 278 1.1498 0.2878 1.1498 1.0723
No log 6.3636 280 1.2508 0.3563 1.2508 1.1184
No log 6.4091 282 1.5574 0.2958 1.5574 1.2480
No log 6.4545 284 1.8120 0.1970 1.8120 1.3461
No log 6.5 286 1.8212 0.1664 1.8212 1.3495
No log 6.5455 288 1.6247 0.2975 1.6247 1.2746
No log 6.5909 290 1.5249 0.2872 1.5249 1.2349
No log 6.6364 292 1.4684 0.3024 1.4684 1.2118
No log 6.6818 294 1.3563 0.3025 1.3563 1.1646
No log 6.7273 296 1.2582 0.3433 1.2582 1.1217
No log 6.7727 298 1.1327 0.2317 1.1327 1.0643
No log 6.8182 300 1.0572 0.2121 1.0572 1.0282
No log 6.8636 302 1.0727 0.2317 1.0727 1.0357
No log 6.9091 304 1.1679 0.3776 1.1679 1.0807
No log 6.9545 306 1.2331 0.3821 1.2331 1.1104
No log 7.0 308 1.2618 0.3658 1.2618 1.1233
No log 7.0455 310 1.2120 0.3897 1.2120 1.1009
No log 7.0909 312 1.1346 0.4345 1.1346 1.0652
No log 7.1364 314 1.1381 0.4348 1.1381 1.0668
No log 7.1818 316 1.2817 0.3742 1.2817 1.1321
No log 7.2273 318 1.3133 0.3718 1.3133 1.1460
No log 7.2727 320 1.2169 0.2402 1.2169 1.1031
No log 7.3182 322 1.1142 0.2621 1.1142 1.0556
No log 7.3636 324 1.0655 0.2822 1.0655 1.0322
No log 7.4091 326 1.0808 0.2801 1.0808 1.0396
No log 7.4545 328 1.2400 0.4440 1.2400 1.1136
No log 7.5 330 1.3479 0.2961 1.3479 1.1610
No log 7.5455 332 1.2840 0.3718 1.2840 1.1332
No log 7.5909 334 1.1418 0.2522 1.1418 1.0686
No log 7.6364 336 1.1117 0.2673 1.1117 1.0544
No log 7.6818 338 1.1292 0.2522 1.1292 1.0627
No log 7.7273 340 1.1863 0.2263 1.1863 1.0892
No log 7.7727 342 1.2349 0.2108 1.2349 1.1113
No log 7.8182 344 1.2816 0.3699 1.2816 1.1321
No log 7.8636 346 1.2652 0.3934 1.2652 1.1248
No log 7.9091 348 1.1548 0.3023 1.1548 1.0746
No log 7.9545 350 1.0523 0.2723 1.0523 1.0258
No log 8.0 352 1.0454 0.2813 1.0454 1.0224
No log 8.0455 354 1.0797 0.2290 1.0797 1.0391
No log 8.0909 356 1.1609 0.1902 1.1609 1.0774
No log 8.1364 358 1.2727 0.1379 1.2727 1.1282
No log 8.1818 360 1.2731 0.1219 1.2731 1.1283
No log 8.2273 362 1.1886 0.1053 1.1886 1.0902
No log 8.2727 364 1.1033 0.2322 1.1033 1.0504
No log 8.3182 366 1.0218 0.2503 1.0218 1.0108
No log 8.3636 368 1.0061 0.2822 1.0061 1.0030
No log 8.4091 370 1.0581 0.3281 1.0581 1.0286
No log 8.4545 372 1.2784 0.3922 1.2784 1.1307
No log 8.5 374 1.4279 0.2804 1.4279 1.1950
No log 8.5455 376 1.4146 0.2804 1.4146 1.1894
No log 8.5909 378 1.2631 0.3943 1.2631 1.1239
No log 8.6364 380 1.0828 0.3667 1.0828 1.0406
No log 8.6818 382 0.9903 0.2843 0.9903 0.9952
No log 8.7273 384 0.9955 0.2967 0.9955 0.9977
No log 8.7727 386 1.0411 0.2640 1.0411 1.0203
No log 8.8182 388 1.1229 0.2219 1.1229 1.0597
No log 8.8636 390 1.2489 0.2714 1.2489 1.1175
No log 8.9091 392 1.3214 0.2956 1.3214 1.1495
No log 8.9545 394 1.2793 0.2927 1.2793 1.1310
No log 9.0 396 1.2529 0.2108 1.2529 1.1193
No log 9.0455 398 1.2296 0.2108 1.2296 1.1089
No log 9.0909 400 1.1887 0.2164 1.1887 1.0903
No log 9.1364 402 1.2012 0.2164 1.2012 1.0960
No log 9.1818 404 1.2618 0.2108 1.2618 1.1233
No log 9.2273 406 1.3252 0.2418 1.3252 1.1512
No log 9.2727 408 1.3381 0.2481 1.3381 1.1567
No log 9.3182 410 1.2707 0.1995 1.2707 1.1272
No log 9.3636 412 1.2172 0.2357 1.2172 1.1033
No log 9.4091 414 1.1558 0.2371 1.1558 1.0751
No log 9.4545 416 1.1843 0.2654 1.1843 1.0883
No log 9.5 418 1.2697 0.1995 1.2697 1.1268
No log 9.5455 420 1.3431 0.2354 1.3431 1.1589
No log 9.5909 422 1.3237 0.2173 1.3237 1.1505
No log 9.6364 424 1.2632 0.1795 1.2632 1.1239
No log 9.6818 426 1.1981 0.1048 1.1981 1.0946
No log 9.7273 428 1.1816 0.1048 1.1816 1.0870
No log 9.7727 430 1.2086 0.1795 1.2086 1.0994
No log 9.8182 432 1.2701 0.2761 1.2701 1.1270
No log 9.8636 434 1.2642 0.2980 1.2642 1.1244
No log 9.9091 436 1.2842 0.3697 1.2842 1.1332
No log 9.9545 438 1.2658 0.3679 1.2658 1.1251
No log 10.0 440 1.1812 0.2696 1.1812 1.0868
No log 10.0455 442 1.0917 0.2164 1.0917 1.0449
No log 10.0909 444 1.0852 0.2164 1.0852 1.0417
No log 10.1364 446 1.1238 0.2164 1.1238 1.0601
No log 10.1818 448 1.1499 0.3072 1.1499 1.0723
No log 10.2273 450 1.1550 0.2683 1.1550 1.0747
No log 10.2727 452 1.2222 0.2424 1.2222 1.1055
No log 10.3182 454 1.2358 0.2931 1.2358 1.1116
No log 10.3636 456 1.1878 0.2837 1.1878 1.0899
No log 10.4091 458 1.1895 0.3115 1.1895 1.0906
No log 10.4545 460 1.2119 0.3243 1.2119 1.1009
No log 10.5 462 1.1768 0.3187 1.1768 1.0848
No log 10.5455 464 1.1467 0.3072 1.1467 1.0709
No log 10.5909 466 1.2149 0.3087 1.2149 1.1022
No log 10.6364 468 1.2360 0.3339 1.2360 1.1118
No log 10.6818 470 1.1328 0.4151 1.1328 1.0644
No log 10.7273 472 1.0941 0.3669 1.0941 1.0460
No log 10.7727 474 1.0845 0.3171 1.0845 1.0414
No log 10.8182 476 1.1109 0.3669 1.1109 1.0540
No log 10.8636 478 1.1158 0.3446 1.1158 1.0563
No log 10.9091 480 1.0927 0.3446 1.0927 1.0453
No log 10.9545 482 1.1411 0.3446 1.1411 1.0682
No log 11.0 484 1.1288 0.3446 1.1288 1.0624
No log 11.0455 486 1.0518 0.3545 1.0518 1.0256
No log 11.0909 488 0.9946 0.2276 0.9946 0.9973
No log 11.1364 490 0.9266 0.2503 0.9266 0.9626
No log 11.1818 492 0.9132 0.2658 0.9132 0.9556
No log 11.2273 494 0.9430 0.2708 0.9430 0.9711
No log 11.2727 496 1.0370 0.3343 1.0370 1.0183
No log 11.3182 498 1.1959 0.3324 1.1959 1.0936
0.3558 11.3636 500 1.3612 0.3730 1.3612 1.1667
0.3558 11.4091 502 1.3702 0.3730 1.3702 1.1705
0.3558 11.4545 504 1.2471 0.3501 1.2471 1.1167
0.3558 11.5 506 1.1223 0.3908 1.1223 1.0594
0.3558 11.5455 508 1.0821 0.3809 1.0821 1.0403
0.3558 11.5909 510 1.0787 0.3289 1.0787 1.0386
0.3558 11.6364 512 1.1539 0.2558 1.1539 1.0742
0.3558 11.6818 514 1.2801 0.3488 1.2801 1.1314
0.3558 11.7273 516 1.3869 0.2512 1.3869 1.1776
0.3558 11.7727 518 1.3600 0.2512 1.3600 1.1662

Framework versions

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