ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k16_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: 1.2029
  • Qwk: 0.1314
  • Mse: 1.2029
  • Rmse: 1.0968

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 0.0435 2 4.5392 -0.0132 4.5392 2.1305
No log 0.0870 4 2.6144 0.0025 2.6144 1.6169
No log 0.1304 6 2.0477 -0.0634 2.0477 1.4310
No log 0.1739 8 2.4964 -0.0777 2.4964 1.5800
No log 0.2174 10 1.6546 0.0596 1.6546 1.2863
No log 0.2609 12 1.2478 0.1990 1.2478 1.1170
No log 0.3043 14 1.2637 -0.0010 1.2637 1.1241
No log 0.3478 16 1.3075 -0.0114 1.3075 1.1435
No log 0.3913 18 1.1879 0.2180 1.1879 1.0899
No log 0.4348 20 1.0978 0.3307 1.0978 1.0478
No log 0.4783 22 1.2352 0.1106 1.2352 1.1114
No log 0.5217 24 1.7188 0.1277 1.7188 1.3110
No log 0.5652 26 1.6947 0.1827 1.6947 1.3018
No log 0.6087 28 1.4720 0.1604 1.4720 1.2133
No log 0.6522 30 1.2747 0.1168 1.2747 1.1290
No log 0.6957 32 1.2740 0.1904 1.2740 1.1287
No log 0.7391 34 1.3932 0.1016 1.3932 1.1803
No log 0.7826 36 1.5722 0.0723 1.5722 1.2539
No log 0.8261 38 1.6145 0.0084 1.6145 1.2706
No log 0.8696 40 1.5704 0.0084 1.5704 1.2531
No log 0.9130 42 1.5551 0.0084 1.5551 1.2470
No log 0.9565 44 1.4364 0.0488 1.4364 1.1985
No log 1.0 46 1.2242 0.3135 1.2242 1.1065
No log 1.0435 48 1.1501 0.2678 1.1501 1.0724
No log 1.0870 50 1.2350 0.0918 1.2350 1.1113
No log 1.1304 52 1.2402 0.1080 1.2402 1.1136
No log 1.1739 54 1.2115 0.2188 1.2115 1.1007
No log 1.2174 56 1.2436 0.2188 1.2436 1.1152
No log 1.2609 58 1.2801 0.2188 1.2801 1.1314
No log 1.3043 60 1.3568 0.1246 1.3568 1.1648
No log 1.3478 62 1.3834 0.1085 1.3834 1.1762
No log 1.3913 64 1.3154 0.2123 1.3154 1.1469
No log 1.4348 66 1.2935 0.2310 1.2935 1.1373
No log 1.4783 68 1.3649 0.1251 1.3649 1.1683
No log 1.5217 70 1.5057 0.1499 1.5057 1.2271
No log 1.5652 72 1.5638 0.1499 1.5638 1.2505
No log 1.6087 74 1.3761 0.2695 1.3761 1.1731
No log 1.6522 76 1.2028 0.2831 1.2028 1.0967
No log 1.6957 78 1.1560 0.2318 1.1560 1.0752
No log 1.7391 80 1.2434 0.3478 1.2434 1.1151
No log 1.7826 82 1.2869 0.3227 1.2869 1.1344
No log 1.8261 84 1.4592 0.2378 1.4592 1.2080
No log 1.8696 86 1.2396 0.4078 1.2396 1.1134
No log 1.9130 88 1.1017 0.4841 1.1017 1.0496
No log 1.9565 90 1.1531 0.4716 1.1531 1.0738
No log 2.0 92 1.6415 0.1373 1.6415 1.2812
No log 2.0435 94 2.0876 0.0091 2.0876 1.4449
No log 2.0870 96 2.0196 0.0608 2.0196 1.4211
No log 2.1304 98 1.5143 0.1087 1.5143 1.2306
No log 2.1739 100 1.0257 0.3144 1.0257 1.0128
No log 2.2174 102 0.8991 0.4002 0.8991 0.9482
No log 2.2609 104 0.9778 0.3389 0.9778 0.9888
No log 2.3043 106 1.2039 0.1404 1.2039 1.0972
No log 2.3478 108 1.4502 0.2373 1.4502 1.2043
No log 2.3913 110 1.4162 0.2445 1.4162 1.1901
No log 2.4348 112 1.2399 0.2213 1.2399 1.1135
No log 2.4783 114 1.0548 0.2619 1.0548 1.0270
No log 2.5217 116 1.0567 0.3657 1.0567 1.0279
No log 2.5652 118 1.2290 0.4075 1.2290 1.1086
No log 2.6087 120 1.4256 0.4050 1.4256 1.1940
No log 2.6522 122 1.6953 0.1672 1.6953 1.3020
No log 2.6957 124 1.6456 0.1885 1.6456 1.2828
No log 2.7391 126 1.2541 0.4112 1.2541 1.1199
No log 2.7826 128 1.1299 0.4803 1.1299 1.0630
No log 2.8261 130 1.1623 0.4487 1.1623 1.0781
No log 2.8696 132 1.2953 0.3926 1.2953 1.1381
No log 2.9130 134 1.1062 0.3540 1.1062 1.0518
No log 2.9565 136 0.9814 0.2782 0.9814 0.9906
No log 3.0 138 0.9605 0.3122 0.9605 0.9801
No log 3.0435 140 0.9383 0.3122 0.9383 0.9686
No log 3.0870 142 0.9192 0.3463 0.9192 0.9588
No log 3.1304 144 0.9387 0.3069 0.9387 0.9689
No log 3.1739 146 0.9361 0.2997 0.9361 0.9675
No log 3.2174 148 0.9828 0.3492 0.9828 0.9913
No log 3.2609 150 1.1013 0.3528 1.1013 1.0494
No log 3.3043 152 1.2506 0.2870 1.2506 1.1183
No log 3.3478 154 1.3671 0.2544 1.3671 1.1692
No log 3.3913 156 1.6325 0.2632 1.6325 1.2777
No log 3.4348 158 1.6641 0.2574 1.6641 1.2900
No log 3.4783 160 1.6063 0.1704 1.6063 1.2674
No log 3.5217 162 1.4259 0.1698 1.4259 1.1941
No log 3.5652 164 1.1820 0.2015 1.1820 1.0872
No log 3.6087 166 1.1163 0.2432 1.1163 1.0565
No log 3.6522 168 1.1632 0.2313 1.1632 1.0785
No log 3.6957 170 1.4729 0.2512 1.4729 1.2136
No log 3.7391 172 1.7130 0.1149 1.7130 1.3088
No log 3.7826 174 1.7283 0.0841 1.7283 1.3147
No log 3.8261 176 1.6825 0.1961 1.6825 1.2971
No log 3.8696 178 1.5250 0.2789 1.5250 1.2349
No log 3.9130 180 1.2832 0.3136 1.2832 1.1328
No log 3.9565 182 1.2906 0.2634 1.2906 1.1360
No log 4.0 184 1.3170 0.2527 1.3170 1.1476
No log 4.0435 186 1.4300 0.3025 1.4300 1.1958
No log 4.0870 188 1.4174 0.2617 1.4174 1.1906
No log 4.1304 190 1.2390 0.2864 1.2390 1.1131
No log 4.1739 192 1.0971 0.2236 1.0971 1.0474
No log 4.2174 194 1.1667 0.2864 1.1667 1.0801
No log 4.2609 196 1.3769 0.2252 1.3769 1.1734
No log 4.3043 198 1.4032 0.1935 1.4032 1.1846
No log 4.3478 200 1.3006 0.1345 1.3006 1.1404
No log 4.3913 202 1.2641 0.2570 1.2641 1.1243
No log 4.4348 204 1.1539 0.1952 1.1539 1.0742
No log 4.4783 206 1.0315 0.2446 1.0315 1.0156
No log 4.5217 208 0.9838 0.2574 0.9838 0.9918
No log 4.5652 210 1.1298 0.3398 1.1298 1.0629
No log 4.6087 212 1.4697 0.3302 1.4697 1.2123
No log 4.6522 214 1.6553 0.2217 1.6553 1.2866
No log 4.6957 216 1.5817 0.1051 1.5817 1.2576
No log 4.7391 218 1.3477 0.1031 1.3477 1.1609
No log 4.7826 220 1.1472 0.1219 1.1472 1.0711
No log 4.8261 222 1.0066 0.2761 1.0066 1.0033
No log 4.8696 224 0.9602 0.3271 0.9602 0.9799
No log 4.9130 226 0.9673 0.2871 0.9673 0.9835
No log 4.9565 228 1.0336 0.3584 1.0336 1.0167
No log 5.0 230 1.3019 0.2701 1.3019 1.1410
No log 5.0435 232 1.5647 0.3371 1.5647 1.2509
No log 5.0870 234 1.5615 0.3572 1.5615 1.2496
No log 5.1304 236 1.2731 0.2903 1.2731 1.1283
No log 5.1739 238 1.0604 0.3394 1.0604 1.0298
No log 5.2174 240 1.0277 0.3572 1.0277 1.0138
No log 5.2609 242 1.0332 0.3572 1.0332 1.0165
No log 5.3043 244 1.0896 0.3182 1.0896 1.0439
No log 5.3478 246 1.1936 0.2664 1.1936 1.0925
No log 5.3913 248 1.3544 0.2632 1.3544 1.1638
No log 5.4348 250 1.3202 0.1886 1.3202 1.1490
No log 5.4783 252 1.1636 0.2131 1.1636 1.0787
No log 5.5217 254 1.0955 0.2927 1.0955 1.0467
No log 5.5652 256 1.0594 0.3217 1.0594 1.0293
No log 5.6087 258 1.1166 0.2743 1.1166 1.0567
No log 5.6522 260 1.3774 0.2009 1.3774 1.1736
No log 5.6957 262 1.5096 0.3173 1.5096 1.2287
No log 5.7391 264 1.4655 0.3157 1.4655 1.2106
No log 5.7826 266 1.3159 0.2359 1.3159 1.1471
No log 5.8261 268 1.1554 0.2743 1.1554 1.0749
No log 5.8696 270 1.1776 0.2367 1.1776 1.0852
No log 5.9130 272 1.2518 0.1935 1.2518 1.1188
No log 5.9565 274 1.2169 0.1935 1.2169 1.1032
No log 6.0 276 1.1153 0.2402 1.1153 1.0561
No log 6.0435 278 1.1287 0.2475 1.1287 1.0624
No log 6.0870 280 1.2534 0.2617 1.2534 1.1195
No log 6.1304 282 1.4693 0.2632 1.4693 1.2121
No log 6.1739 284 1.6402 0.3219 1.6402 1.2807
No log 6.2174 286 1.5983 0.3383 1.5983 1.2642
No log 6.2609 288 1.3257 0.2903 1.3257 1.1514
No log 6.3043 290 1.1478 0.3438 1.1478 1.0714
No log 6.3478 292 1.0507 0.2998 1.0507 1.0250
No log 6.3913 294 1.1047 0.2930 1.1047 1.0510
No log 6.4348 296 1.2789 0.2586 1.2789 1.1309
No log 6.4783 298 1.3120 0.2173 1.3120 1.1454
No log 6.5217 300 1.2591 0.1745 1.2591 1.1221
No log 6.5652 302 1.1680 0.1538 1.1680 1.0808
No log 6.6087 304 1.1659 0.1538 1.1659 1.0797
No log 6.6522 306 1.1209 0.1696 1.1209 1.0587
No log 6.6957 308 1.2066 0.1637 1.2066 1.0985
No log 6.7391 310 1.2638 0.1440 1.2638 1.1242
No log 6.7826 312 1.3769 0.1345 1.3769 1.1734
No log 6.8261 314 1.3734 0.1345 1.3734 1.1719
No log 6.8696 316 1.2693 0.1031 1.2693 1.1266
No log 6.9130 318 1.1633 0.1440 1.1633 1.0786
No log 6.9565 320 1.0853 0.1853 1.0853 1.0418
No log 7.0 322 1.1152 0.1596 1.1152 1.0560
No log 7.0435 324 1.1855 0.1889 1.1855 1.0888
No log 7.0870 326 1.2450 0.2213 1.2450 1.1158
No log 7.1304 328 1.2107 0.2512 1.2107 1.1003
No log 7.1739 330 1.0909 0.3046 1.0909 1.0445
No log 7.2174 332 1.0593 0.2857 1.0593 1.0292
No log 7.2609 334 1.1187 0.2602 1.1187 1.0577
No log 7.3043 336 1.2518 0.2512 1.2518 1.1189
No log 7.3478 338 1.3570 0.2815 1.3570 1.1649
No log 7.3913 340 1.2896 0.2512 1.2896 1.1356
No log 7.4348 342 1.0702 0.2250 1.0702 1.0345
No log 7.4783 344 1.0311 0.2417 1.0311 1.0154
No log 7.5217 346 1.1570 0.2348 1.1570 1.0757
No log 7.5652 348 1.2662 0.2586 1.2662 1.1253
No log 7.6087 350 1.3178 0.2479 1.3178 1.1480
No log 7.6522 352 1.2701 0.2317 1.2701 1.1270
No log 7.6957 354 1.2136 0.2278 1.2136 1.1016
No log 7.7391 356 1.0983 0.2046 1.0983 1.0480
No log 7.7826 358 0.9794 0.2219 0.9794 0.9896
No log 7.8261 360 0.9578 0.2219 0.9578 0.9787
No log 7.8696 362 1.0577 0.2884 1.0577 1.0284
No log 7.9130 364 1.2212 0.2725 1.2212 1.1051
No log 7.9565 366 1.2612 0.2586 1.2612 1.1230
No log 8.0 368 1.1840 0.1896 1.1840 1.0881
No log 8.0435 370 1.1137 0.2108 1.1137 1.0553
No log 8.0870 372 1.1028 0.1417 1.1028 1.0502
No log 8.1304 374 1.1177 0.1076 1.1177 1.0572
No log 8.1739 376 1.1774 0.1440 1.1774 1.0851
No log 8.2174 378 1.1361 0.2195 1.1361 1.0659
No log 8.2609 380 1.0240 0.2650 1.0240 1.0119
No log 8.3043 382 0.8850 0.3217 0.8850 0.9408
No log 8.3478 384 0.8449 0.4665 0.8449 0.9192
No log 8.3913 386 0.8725 0.3753 0.8725 0.9341
No log 8.4348 388 0.9889 0.2654 0.9889 0.9944
No log 8.4783 390 1.2072 0.2330 1.2072 1.0987
No log 8.5217 392 1.3014 0.2956 1.3014 1.1408
No log 8.5652 394 1.3158 0.2678 1.3158 1.1471
No log 8.6087 396 1.2944 0.1889 1.2944 1.1377
No log 8.6522 398 1.2360 0.2046 1.2360 1.1117
No log 8.6957 400 1.1788 0.1379 1.1788 1.0857
No log 8.7391 402 1.1893 0.1379 1.1893 1.0905
No log 8.7826 404 1.1982 0.1185 1.1982 1.0946
No log 8.8261 406 1.2300 0.1500 1.2300 1.1091
No log 8.8696 408 1.2433 0.2184 1.2433 1.1151
No log 8.9130 410 1.2045 0.3115 1.2045 1.0975
No log 8.9565 412 1.2186 0.3115 1.2186 1.1039
No log 9.0 414 1.1260 0.2978 1.1260 1.0611
No log 9.0435 416 1.0312 0.1808 1.0312 1.0155
No log 9.0870 418 1.0507 0.1808 1.0507 1.0250
No log 9.1304 420 1.1099 0.1903 1.1099 1.0535
No log 9.1739 422 1.1134 0.1903 1.1134 1.0552
No log 9.2174 424 1.1689 0.1750 1.1689 1.0811
No log 9.2609 426 1.2286 0.2586 1.2286 1.1084
No log 9.3043 428 1.2082 0.1440 1.2082 1.0992
No log 9.3478 430 1.1264 0.1952 1.1264 1.0613
No log 9.3913 432 1.0672 0.1417 1.0672 1.0331
No log 9.4348 434 1.0777 0.1417 1.0777 1.0381
No log 9.4783 436 1.1117 0.1750 1.1117 1.0544
No log 9.5217 438 1.1291 0.2439 1.1291 1.0626
No log 9.5652 440 1.1076 0.2439 1.1076 1.0524
No log 9.6087 442 1.0772 0.2439 1.0772 1.0379
No log 9.6522 444 1.1110 0.2439 1.1110 1.0541
No log 9.6957 446 1.1072 0.1846 1.1072 1.0522
No log 9.7391 448 1.0584 0.1480 1.0584 1.0288
No log 9.7826 450 1.0355 0.1645 1.0355 1.0176
No log 9.8261 452 1.0844 0.1750 1.0844 1.0413
No log 9.8696 454 1.2107 0.2553 1.2107 1.1003
No log 9.9130 456 1.2892 0.2707 1.2892 1.1354
No log 9.9565 458 1.2531 0.3433 1.2531 1.1194
No log 10.0 460 1.0939 0.2837 1.0939 1.0459
No log 10.0435 462 1.0292 0.3023 1.0292 1.0145
No log 10.0870 464 1.0794 0.2291 1.0794 1.0389
No log 10.1304 466 1.1702 0.1991 1.1702 1.0818
No log 10.1739 468 1.2384 0.1592 1.2384 1.1128
No log 10.2174 470 1.2424 0.1031 1.2424 1.1146
No log 10.2609 472 1.2259 0.0454 1.2259 1.1072
No log 10.3043 474 1.2069 0.0904 1.2069 1.0986
No log 10.3478 476 1.1624 0.1316 1.1624 1.0782
No log 10.3913 478 1.2126 0.1991 1.2126 1.1012
No log 10.4348 480 1.2176 0.2278 1.2176 1.1034
No log 10.4783 482 1.3145 0.2870 1.3145 1.1465
No log 10.5217 484 1.3001 0.2870 1.3001 1.1402
No log 10.5652 486 1.3289 0.3332 1.3289 1.1528
No log 10.6087 488 1.2368 0.2725 1.2368 1.1121
No log 10.6522 490 1.1117 0.1541 1.1117 1.0544
No log 10.6957 492 1.0247 0.1649 1.0247 1.0123
No log 10.7391 494 1.0233 0.1649 1.0233 1.0116
No log 10.7826 496 1.0247 0.1649 1.0247 1.0123
No log 10.8261 498 1.0879 0.1585 1.0879 1.0430
0.397 10.8696 500 1.2421 0.1316 1.2421 1.1145
0.397 10.9130 502 1.3193 0.2195 1.3193 1.1486
0.397 10.9565 504 1.3265 0.1316 1.3265 1.1517
0.397 11.0 506 1.3356 0.1316 1.3356 1.1557
0.397 11.0435 508 1.3610 0.0887 1.3610 1.1666
0.397 11.0870 510 1.3867 0.0887 1.3867 1.1776
0.397 11.1304 512 1.3798 0.1497 1.3798 1.1746
0.397 11.1739 514 1.3254 0.0798 1.3254 1.1513
0.397 11.2174 516 1.2646 0.0541 1.2646 1.1245
0.397 11.2609 518 1.2185 0.0541 1.2185 1.1038
0.397 11.3043 520 1.1613 0.1479 1.1613 1.0776
0.397 11.3478 522 1.1411 0.1541 1.1411 1.0682
0.397 11.3913 524 1.1351 0.1853 1.1351 1.0654
0.397 11.4348 526 1.1924 0.1696 1.1924 1.0920
0.397 11.4783 528 1.2822 0.2519 1.2822 1.1324
0.397 11.5217 530 1.3609 0.2173 1.3609 1.1666
0.397 11.5652 532 1.3422 0.1126 1.3422 1.1585
0.397 11.6087 534 1.3196 0.0098 1.3196 1.1487
0.397 11.6522 536 1.2945 0.0454 1.2945 1.1378
0.397 11.6957 538 1.2651 0.0454 1.2651 1.1248
0.397 11.7391 540 1.2029 0.1314 1.2029 1.0968

Framework versions

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