ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k11_task1_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: 1.1660
  • Qwk: 0.4918
  • Mse: 1.1660
  • Rmse: 1.0798

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 0.0385 2 6.7768 0.0239 6.7768 2.6032
No log 0.0769 4 4.2529 0.0500 4.2529 2.0623
No log 0.1154 6 3.3655 -0.0117 3.3655 1.8345
No log 0.1538 8 2.9377 0.0519 2.9377 1.7140
No log 0.1923 10 1.9862 0.1579 1.9862 1.4093
No log 0.2308 12 1.9502 0.2385 1.9502 1.3965
No log 0.2692 14 2.2998 -0.0923 2.2998 1.5165
No log 0.3077 16 2.4824 -0.0426 2.4824 1.5756
No log 0.3462 18 2.4137 -0.0432 2.4137 1.5536
No log 0.3846 20 2.1199 0.1186 2.1199 1.4560
No log 0.4231 22 2.1059 0.1345 2.1059 1.4512
No log 0.4615 24 2.2241 0.0448 2.2241 1.4913
No log 0.5 26 2.3479 0.0556 2.3479 1.5323
No log 0.5385 28 2.0874 0.1240 2.0874 1.4448
No log 0.5769 30 2.0408 0.1875 2.0408 1.4286
No log 0.6154 32 1.9313 0.1746 1.9313 1.3897
No log 0.6538 34 1.7721 0.2105 1.7721 1.3312
No log 0.6923 36 1.6613 0.2523 1.6613 1.2889
No log 0.7308 38 1.5963 0.2202 1.5963 1.2635
No log 0.7692 40 1.5318 0.2342 1.5318 1.2377
No log 0.8077 42 1.5438 0.3761 1.5438 1.2425
No log 0.8462 44 1.4441 0.3793 1.4441 1.2017
No log 0.8846 46 1.5416 0.4194 1.5416 1.2416
No log 0.9231 48 1.5365 0.4603 1.5365 1.2396
No log 0.9615 50 1.4173 0.4390 1.4173 1.1905
No log 1.0 52 1.2227 0.4370 1.2227 1.1058
No log 1.0385 54 1.1484 0.4237 1.1484 1.0716
No log 1.0769 56 1.2303 0.4706 1.2303 1.1092
No log 1.1154 58 1.1589 0.4500 1.1589 1.0765
No log 1.1538 60 1.1953 0.4320 1.1953 1.0933
No log 1.1923 62 1.1745 0.48 1.1745 1.0837
No log 1.2308 64 1.2509 0.4687 1.2509 1.1184
No log 1.2692 66 1.3343 0.4341 1.3343 1.1551
No log 1.3077 68 1.4447 0.4062 1.4447 1.2020
No log 1.3462 70 1.5259 0.3906 1.5259 1.2353
No log 1.3846 72 1.4552 0.3387 1.4552 1.2063
No log 1.4231 74 1.6284 0.3390 1.6284 1.2761
No log 1.4615 76 1.6705 0.1818 1.6705 1.2925
No log 1.5 78 1.5313 0.2832 1.5313 1.2374
No log 1.5385 80 1.3121 0.4034 1.3121 1.1455
No log 1.5769 82 1.2062 0.4590 1.2062 1.0983
No log 1.6154 84 1.3385 0.5 1.3385 1.1569
No log 1.6538 86 1.8075 0.2857 1.8075 1.3444
No log 1.6923 88 1.6065 0.3969 1.6065 1.2675
No log 1.7308 90 1.3121 0.5224 1.3121 1.1455
No log 1.7692 92 1.1609 0.4925 1.1609 1.0775
No log 1.8077 94 1.1784 0.4925 1.1784 1.0855
No log 1.8462 96 1.2634 0.4853 1.2634 1.1240
No log 1.8846 98 1.2153 0.4962 1.2153 1.1024
No log 1.9231 100 1.2681 0.4962 1.2681 1.1261
No log 1.9615 102 1.4452 0.4493 1.4452 1.2021
No log 2.0 104 1.4110 0.4412 1.4110 1.1878
No log 2.0385 106 1.4356 0.4672 1.4356 1.1982
No log 2.0769 108 1.5726 0.4380 1.5726 1.2540
No log 2.1154 110 1.3439 0.4511 1.3439 1.1593
No log 2.1538 112 1.4356 0.4697 1.4356 1.1982
No log 2.1923 114 1.6991 0.3609 1.6991 1.3035
No log 2.2308 116 1.2892 0.4697 1.2892 1.1354
No log 2.2692 118 1.1971 0.5147 1.1971 1.0941
No log 2.3077 120 1.5491 0.4394 1.5491 1.2446
No log 2.3462 122 1.3952 0.4394 1.3952 1.1812
No log 2.3846 124 1.0737 0.6074 1.0737 1.0362
No log 2.4231 126 0.9869 0.6 0.9869 0.9934
No log 2.4615 128 1.1301 0.5802 1.1301 1.0631
No log 2.5 130 1.2446 0.5075 1.2446 1.1156
No log 2.5385 132 1.1110 0.5909 1.1110 1.0541
No log 2.5769 134 0.9340 0.6043 0.9340 0.9664
No log 2.6154 136 0.9790 0.6176 0.9790 0.9894
No log 2.6538 138 1.2339 0.5294 1.2339 1.1108
No log 2.6923 140 1.1611 0.5294 1.1611 1.0776
No log 2.7308 142 1.2925 0.5185 1.2925 1.1369
No log 2.7692 144 1.5896 0.4286 1.5896 1.2608
No log 2.8077 146 1.4368 0.4818 1.4368 1.1987
No log 2.8462 148 1.4032 0.5037 1.4032 1.1845
No log 2.8846 150 1.1698 0.5294 1.1698 1.0816
No log 2.9231 152 1.2224 0.5373 1.2224 1.1056
No log 2.9615 154 1.1825 0.5735 1.1825 1.0874
No log 3.0 156 1.3288 0.5075 1.3288 1.1527
No log 3.0385 158 1.4445 0.4672 1.4445 1.2019
No log 3.0769 160 1.3164 0.5152 1.3164 1.1474
No log 3.1154 162 1.3114 0.4962 1.3114 1.1452
No log 3.1538 164 1.1843 0.5714 1.1843 1.0883
No log 3.1923 166 1.0038 0.5496 1.0038 1.0019
No log 3.2308 168 1.1298 0.5455 1.1298 1.0629
No log 3.2692 170 1.4274 0.4559 1.4274 1.1947
No log 3.3077 172 1.3642 0.5303 1.3642 1.1680
No log 3.3462 174 1.3808 0.4697 1.3808 1.1751
No log 3.3846 176 1.4584 0.4776 1.4584 1.2076
No log 3.4231 178 1.2866 0.5344 1.2866 1.1343
No log 3.4615 180 1.2491 0.5077 1.2491 1.1176
No log 3.5 182 1.2187 0.5077 1.2187 1.1040
No log 3.5385 184 1.1119 0.4882 1.1119 1.0545
No log 3.5769 186 1.1542 0.5312 1.1542 1.0743
No log 3.6154 188 1.3605 0.5077 1.3605 1.1664
No log 3.6538 190 1.4460 0.4545 1.4460 1.2025
No log 3.6923 192 1.2079 0.4923 1.2079 1.0991
No log 3.7308 194 1.0932 0.5538 1.0932 1.0456
No log 3.7692 196 1.1813 0.5191 1.1813 1.0869
No log 3.8077 198 1.3132 0.5077 1.3132 1.1460
No log 3.8462 200 1.3438 0.5077 1.3438 1.1592
No log 3.8846 202 1.1653 0.5116 1.1653 1.0795
No log 3.9231 204 1.0802 0.5625 1.0802 1.0393
No log 3.9615 206 1.0827 0.5469 1.0827 1.0405
No log 4.0 208 1.2187 0.4806 1.2187 1.1039
No log 4.0385 210 1.5149 0.3881 1.5149 1.2308
No log 4.0769 212 1.4981 0.4148 1.4981 1.2240
No log 4.1154 214 1.5252 0.3885 1.5252 1.2350
No log 4.1538 216 1.3696 0.4478 1.3696 1.1703
No log 4.1923 218 1.3372 0.4511 1.3372 1.1564
No log 4.2308 220 1.5631 0.3546 1.5631 1.2502
No log 4.2692 222 1.6403 0.3768 1.6403 1.2807
No log 4.3077 224 1.4745 0.4733 1.4745 1.2143
No log 4.3462 226 1.3445 0.3871 1.3445 1.1595
No log 4.3846 228 1.3437 0.3871 1.3437 1.1592
No log 4.4231 230 1.3144 0.4127 1.3144 1.1465
No log 4.4615 232 1.3422 0.5077 1.3422 1.1585
No log 4.5 234 1.3682 0.5077 1.3682 1.1697
No log 4.5385 236 1.5403 0.4118 1.5403 1.2411
No log 4.5769 238 1.6863 0.3504 1.6863 1.2986
No log 4.6154 240 1.5256 0.4 1.5256 1.2351
No log 4.6538 242 1.3087 0.4806 1.3087 1.1440
No log 4.6923 244 1.2955 0.4806 1.2955 1.1382
No log 4.7308 246 1.3949 0.4545 1.3949 1.1810
No log 4.7692 248 1.6765 0.3382 1.6765 1.2948
No log 4.8077 250 1.7293 0.3382 1.7293 1.3150
No log 4.8462 252 1.4448 0.4427 1.4448 1.2020
No log 4.8846 254 1.1810 0.4882 1.1810 1.0868
No log 4.9231 256 1.1155 0.5909 1.1154 1.0561
No log 4.9615 258 1.2461 0.5077 1.2461 1.1163
No log 5.0 260 1.6672 0.3768 1.6672 1.2912
No log 5.0385 262 1.8350 0.3121 1.8350 1.3546
No log 5.0769 264 1.6282 0.3556 1.6282 1.2760
No log 5.1154 266 1.3580 0.4545 1.3580 1.1653
No log 5.1538 268 1.2544 0.5077 1.2544 1.1200
No log 5.1923 270 1.2401 0.5156 1.2401 1.1136
No log 5.2308 272 1.1833 0.4628 1.1833 1.0878
No log 5.2692 274 1.1959 0.4333 1.1959 1.0936
No log 5.3077 276 1.3023 0.4882 1.3023 1.1412
No log 5.3462 278 1.3522 0.5077 1.3522 1.1628
No log 5.3846 280 1.2672 0.4806 1.2672 1.1257
No log 5.4231 282 1.0707 0.5323 1.0707 1.0347
No log 5.4615 284 0.9782 0.5778 0.9782 0.9890
No log 5.5 286 0.9893 0.6000 0.9893 0.9946
No log 5.5385 288 0.9390 0.5926 0.9390 0.9690
No log 5.5769 290 1.0576 0.5736 1.0576 1.0284
No log 5.6154 292 1.3724 0.5191 1.3724 1.1715
No log 5.6538 294 1.5160 0.4651 1.5160 1.2312
No log 5.6923 296 1.4240 0.4806 1.4240 1.1933
No log 5.7308 298 1.2506 0.5082 1.2506 1.1183
No log 5.7692 300 1.1180 0.4348 1.1180 1.0573
No log 5.8077 302 1.0897 0.5323 1.0897 1.0439
No log 5.8462 304 1.0106 0.5574 1.0106 1.0053
No log 5.8846 306 1.0444 0.5512 1.0444 1.0219
No log 5.9231 308 1.2711 0.5191 1.2711 1.1274
No log 5.9615 310 1.3702 0.4531 1.3702 1.1705
No log 6.0 312 1.3010 0.4677 1.3010 1.1406
No log 6.0385 314 1.1930 0.48 1.1930 1.0923
No log 6.0769 316 1.1271 0.5079 1.1271 1.0617
No log 6.1154 318 1.1759 0.5354 1.1759 1.0844
No log 6.1538 320 1.2792 0.5271 1.2792 1.1310
No log 6.1923 322 1.2015 0.5271 1.2015 1.0961
No log 6.2308 324 1.1248 0.5271 1.1248 1.0605
No log 6.2692 326 1.0731 0.5271 1.0731 1.0359
No log 6.3077 328 1.1166 0.5271 1.1166 1.0567
No log 6.3462 330 1.2715 0.5496 1.2715 1.1276
No log 6.3846 332 1.4206 0.4741 1.4206 1.1919
No log 6.4231 334 1.3970 0.5469 1.3970 1.1819
No log 6.4615 336 1.2668 0.5079 1.2668 1.1255
No log 6.5 338 1.1387 0.4878 1.1387 1.0671
No log 6.5385 340 1.1072 0.4754 1.1072 1.0522
No log 6.5769 342 1.1509 0.4882 1.1509 1.0728
No log 6.6154 344 1.1874 0.4882 1.1874 1.0897
No log 6.6538 346 1.1680 0.4687 1.1680 1.0807
No log 6.6923 348 1.1747 0.4806 1.1747 1.0838
No log 6.7308 350 1.0669 0.5323 1.0669 1.0329
No log 6.7692 352 1.0317 0.5714 1.0317 1.0157
No log 6.8077 354 1.1874 0.5077 1.1874 1.0897
No log 6.8462 356 1.4436 0.5068 1.4436 1.2015
No log 6.8846 358 1.3684 0.5 1.3684 1.1698
No log 6.9231 360 1.2101 0.4806 1.2101 1.1000
No log 6.9615 362 1.1253 0.5156 1.1253 1.0608
No log 7.0 364 1.2055 0.4882 1.2055 1.0980
No log 7.0385 366 1.3461 0.5077 1.3461 1.1602
No log 7.0769 368 1.2823 0.4687 1.2823 1.1324
No log 7.1154 370 1.3079 0.5077 1.3079 1.1436
No log 7.1538 372 1.3080 0.4733 1.3080 1.1437
No log 7.1923 374 1.3950 0.4478 1.3950 1.1811
No log 7.2308 376 1.3589 0.4545 1.3589 1.1657
No log 7.2692 378 1.3107 0.4603 1.3107 1.1449
No log 7.3077 380 1.3297 0.4603 1.3297 1.1531
No log 7.3462 382 1.3393 0.4882 1.3393 1.1573
No log 7.3846 384 1.2267 0.48 1.2267 1.1076
No log 7.4231 386 1.1820 0.5079 1.1820 1.0872
No log 7.4615 388 1.2908 0.4733 1.2908 1.1361
No log 7.5 390 1.2723 0.5077 1.2723 1.1280
No log 7.5385 392 1.4027 0.4412 1.4027 1.1843
No log 7.5769 394 1.3833 0.4412 1.3833 1.1762
No log 7.6154 396 1.2401 0.5271 1.2401 1.1136
No log 7.6538 398 1.1438 0.5323 1.1438 1.0695
No log 7.6923 400 1.1415 0.5082 1.1415 1.0684
No log 7.7308 402 1.1943 0.5041 1.1943 1.0928
No log 7.7692 404 1.2498 0.4921 1.2498 1.1179
No log 7.8077 406 1.2602 0.5039 1.2602 1.1226
No log 7.8462 408 1.2627 0.4844 1.2627 1.1237
No log 7.8846 410 1.2375 0.4806 1.2375 1.1124
No log 7.9231 412 1.1854 0.4844 1.1854 1.0888
No log 7.9615 414 1.1527 0.4921 1.1527 1.0737
No log 8.0 416 1.1844 0.512 1.1844 1.0883
No log 8.0385 418 1.3034 0.4806 1.3034 1.1417
No log 8.0769 420 1.5267 0.4242 1.5267 1.2356
No log 8.1154 422 1.5518 0.4 1.5518 1.2457
No log 8.1538 424 1.4431 0.4409 1.4431 1.2013
No log 8.1923 426 1.3424 0.4553 1.3424 1.1586
No log 8.2308 428 1.3616 0.4553 1.3616 1.1669
No log 8.2692 430 1.4336 0.4409 1.4336 1.1973
No log 8.3077 432 1.5794 0.4211 1.5794 1.2568
No log 8.3462 434 1.6985 0.3459 1.6985 1.3033
No log 8.3846 436 1.7549 0.3088 1.7549 1.3247
No log 8.4231 438 1.5817 0.3664 1.5817 1.2577
No log 8.4615 440 1.3287 0.4531 1.3287 1.1527
No log 8.5 442 1.2319 0.5197 1.2319 1.1099
No log 8.5385 444 1.2889 0.4923 1.2889 1.1353
No log 8.5769 446 1.4848 0.4462 1.4848 1.2185
No log 8.6154 448 1.6311 0.3459 1.6311 1.2772
No log 8.6538 450 1.6961 0.3459 1.6961 1.3024
No log 8.6923 452 1.5806 0.3385 1.5806 1.2572
No log 8.7308 454 1.4437 0.4651 1.4437 1.2015
No log 8.7692 456 1.3984 0.4409 1.3984 1.1825
No log 8.8077 458 1.4581 0.384 1.4581 1.2075
No log 8.8462 460 1.5040 0.4094 1.5040 1.2264
No log 8.8846 462 1.5293 0.4094 1.5293 1.2366
No log 8.9231 464 1.4470 0.4651 1.4470 1.2029
No log 8.9615 466 1.2939 0.4603 1.2939 1.1375
No log 9.0 468 1.2337 0.5161 1.2337 1.1107
No log 9.0385 470 1.2582 0.4882 1.2582 1.1217
No log 9.0769 472 1.3910 0.4923 1.3910 1.1794
No log 9.1154 474 1.4915 0.4030 1.4915 1.2213
No log 9.1538 476 1.3680 0.5 1.3680 1.1696
No log 9.1923 478 1.2109 0.5 1.2109 1.1004
No log 9.2308 480 1.1920 0.5 1.1920 1.0918
No log 9.2692 482 1.2448 0.4882 1.2448 1.1157
No log 9.3077 484 1.3528 0.4882 1.3528 1.1631
No log 9.3462 486 1.4754 0.4462 1.4754 1.2146
No log 9.3846 488 1.5117 0.4122 1.5117 1.2295
No log 9.4231 490 1.4345 0.4806 1.4345 1.1977
No log 9.4615 492 1.3189 0.4882 1.3189 1.1485
No log 9.5 494 1.2316 0.512 1.2316 1.1098
No log 9.5385 496 1.1994 0.5366 1.1994 1.0952
No log 9.5769 498 1.2268 0.5366 1.2268 1.1076
0.3746 9.6154 500 1.2877 0.512 1.2877 1.1348
0.3746 9.6538 502 1.3814 0.4688 1.3814 1.1753
0.3746 9.6923 504 1.4024 0.4806 1.4024 1.1842
0.3746 9.7308 506 1.3705 0.5077 1.3705 1.1707
0.3746 9.7692 508 1.2127 0.5271 1.2127 1.1012
0.3746 9.8077 510 1.0863 0.6107 1.0863 1.0422
0.3746 9.8462 512 1.0720 0.6107 1.0720 1.0354
0.3746 9.8846 514 1.2174 0.5191 1.2174 1.1034
0.3746 9.9231 516 1.2740 0.5077 1.2740 1.1287
0.3746 9.9615 518 1.3052 0.4961 1.3052 1.1424
0.3746 10.0 520 1.3630 0.5156 1.3630 1.1675
0.3746 10.0385 522 1.3458 0.5041 1.3458 1.1601
0.3746 10.0769 524 1.3404 0.4793 1.3404 1.1577
0.3746 10.1154 526 1.2909 0.4793 1.2909 1.1362
0.3746 10.1538 528 1.2198 0.4793 1.2198 1.1044
0.3746 10.1923 530 1.1660 0.4918 1.1660 1.0798

Framework versions

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