ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k18_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: 1.2789
  • Qwk: 0.0904
  • Mse: 1.2789
  • Rmse: 1.1309

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 4.6577 -0.0020 4.6577 2.1582
No log 0.0769 4 2.5107 0.0643 2.5107 1.5845
No log 0.1154 6 2.0064 0.0290 2.0064 1.4165
No log 0.1538 8 1.4312 0.0586 1.4312 1.1963
No log 0.1923 10 1.3063 0.0500 1.3063 1.1429
No log 0.2308 12 1.2142 0.2632 1.2142 1.1019
No log 0.2692 14 1.1716 0.1814 1.1716 1.0824
No log 0.3077 16 1.2162 0.2369 1.2162 1.1028
No log 0.3462 18 1.4062 0.0497 1.4062 1.1858
No log 0.3846 20 1.4840 -0.0534 1.4840 1.2182
No log 0.4231 22 1.4912 0.0169 1.4912 1.2212
No log 0.4615 24 1.4124 0.0104 1.4124 1.1884
No log 0.5 26 1.5030 0.0019 1.5030 1.2260
No log 0.5385 28 1.5546 0.0 1.5546 1.2468
No log 0.5769 30 1.6351 0.0 1.6351 1.2787
No log 0.6154 32 1.5016 0.0 1.5016 1.2254
No log 0.6538 34 1.4104 0.0 1.4104 1.1876
No log 0.6923 36 1.3316 0.1106 1.3316 1.1540
No log 0.7308 38 1.1993 0.1753 1.1993 1.0951
No log 0.7692 40 1.1671 0.1935 1.1671 1.0803
No log 0.8077 42 1.1501 0.1875 1.1501 1.0724
No log 0.8462 44 1.1864 0.1852 1.1864 1.0892
No log 0.8846 46 1.4136 0.0587 1.4136 1.1889
No log 0.9231 48 1.6892 -0.0129 1.6892 1.2997
No log 0.9615 50 1.6810 0.0185 1.6810 1.2965
No log 1.0 52 1.8495 0.0161 1.8495 1.3600
No log 1.0385 54 1.7822 0.0915 1.7822 1.3350
No log 1.0769 56 1.6778 0.0878 1.6778 1.2953
No log 1.1154 58 1.4419 0.0714 1.4419 1.2008
No log 1.1538 60 1.3523 0.0342 1.3523 1.1629
No log 1.1923 62 1.2687 0.1927 1.2687 1.1264
No log 1.2308 64 1.2671 0.1927 1.2671 1.1257
No log 1.2692 66 1.2716 0.1634 1.2716 1.1276
No log 1.3077 68 1.2841 0.1523 1.2841 1.1332
No log 1.3462 70 1.2541 0.1995 1.2541 1.1199
No log 1.3846 72 1.4342 0.1761 1.4342 1.1976
No log 1.4231 74 1.5475 0.1765 1.5475 1.2440
No log 1.4615 76 1.3893 0.1395 1.3893 1.1787
No log 1.5 78 1.2010 0.2579 1.2010 1.0959
No log 1.5385 80 1.1795 0.2577 1.1795 1.0861
No log 1.5769 82 1.2296 0.2143 1.2296 1.1089
No log 1.6154 84 1.1804 0.2942 1.1804 1.0865
No log 1.6538 86 1.1540 0.3083 1.1540 1.0742
No log 1.6923 88 1.2274 0.2444 1.2274 1.1079
No log 1.7308 90 1.1914 0.2282 1.1914 1.0915
No log 1.7692 92 1.1667 0.2653 1.1667 1.0802
No log 1.8077 94 1.2373 0.3166 1.2373 1.1123
No log 1.8462 96 1.3391 0.3163 1.3391 1.1572
No log 1.8846 98 1.3547 0.2868 1.3547 1.1639
No log 1.9231 100 1.2748 0.2733 1.2748 1.1291
No log 1.9615 102 1.3531 0.1983 1.3531 1.1632
No log 2.0 104 1.3728 0.2236 1.3728 1.1717
No log 2.0385 106 1.4548 0.2516 1.4548 1.2061
No log 2.0769 108 1.5958 0.2370 1.5958 1.2632
No log 2.1154 110 1.8070 0.1920 1.8070 1.3442
No log 2.1538 112 1.7736 0.2944 1.7736 1.3318
No log 2.1923 114 1.1955 0.3932 1.1955 1.0934
No log 2.2308 116 1.0597 0.3017 1.0597 1.0294
No log 2.2692 118 1.0731 0.2306 1.0731 1.0359
No log 2.3077 120 1.3914 0.3559 1.3914 1.1796
No log 2.3462 122 1.9337 0.1686 1.9337 1.3906
No log 2.3846 124 1.7470 0.2156 1.7470 1.3217
No log 2.4231 126 1.5553 0.3082 1.5553 1.2471
No log 2.4615 128 1.1217 0.2978 1.1217 1.0591
No log 2.5 130 1.0500 0.3069 1.0500 1.0247
No log 2.5385 132 1.0916 0.2195 1.0916 1.0448
No log 2.5769 134 1.0005 0.3018 1.0005 1.0002
No log 2.6154 136 0.9769 0.3237 0.9769 0.9884
No log 2.6538 138 1.0228 0.2496 1.0228 1.0113
No log 2.6923 140 1.3363 0.3631 1.3363 1.1560
No log 2.7308 142 1.4966 0.3835 1.4966 1.2234
No log 2.7692 144 1.6284 0.3396 1.6284 1.2761
No log 2.8077 146 1.5230 0.4019 1.5230 1.2341
No log 2.8462 148 1.2347 0.2212 1.2347 1.1112
No log 2.8846 150 1.0788 0.1775 1.0788 1.0387
No log 2.9231 152 1.0880 0.1920 1.0880 1.0431
No log 2.9615 154 1.2442 0.2958 1.2442 1.1155
No log 3.0 156 1.3502 0.3377 1.3502 1.1620
No log 3.0385 158 1.2891 0.3215 1.2891 1.1354
No log 3.0769 160 1.3196 0.3215 1.3196 1.1488
No log 3.1154 162 1.2836 0.3109 1.2836 1.1330
No log 3.1538 164 1.2267 0.2466 1.2267 1.1076
No log 3.1923 166 1.2401 0.2525 1.2401 1.1136
No log 3.2308 168 1.3588 0.3284 1.3588 1.1657
No log 3.2692 170 1.4245 0.3243 1.4245 1.1935
No log 3.3077 172 1.4135 0.2956 1.4135 1.1889
No log 3.3462 174 1.3270 0.2381 1.3270 1.1520
No log 3.3846 176 1.2882 0.1058 1.2882 1.1350
No log 3.4231 178 1.3316 0.2650 1.3316 1.1540
No log 3.4615 180 1.3596 0.2772 1.3596 1.1660
No log 3.5 182 1.4175 0.3243 1.4175 1.1906
No log 3.5385 184 1.3444 0.3243 1.3444 1.1595
No log 3.5769 186 1.2354 0.2799 1.2354 1.1115
No log 3.6154 188 1.1155 0.2650 1.1155 1.0562
No log 3.6538 190 1.0867 0.2381 1.0867 1.0424
No log 3.6923 192 1.2376 0.2895 1.2376 1.1125
No log 3.7308 194 1.3818 0.3487 1.3818 1.1755
No log 3.7692 196 1.5242 0.3358 1.5242 1.2346
No log 3.8077 198 1.3760 0.3026 1.3760 1.1730
No log 3.8462 200 1.1052 0.1557 1.1052 1.0513
No log 3.8846 202 0.9886 0.2673 0.9886 0.9943
No log 3.9231 204 0.9989 0.2947 0.9989 0.9995
No log 3.9615 206 1.2790 0.3559 1.2790 1.1309
No log 4.0 208 2.0378 0.1209 2.0378 1.4275
No log 4.0385 210 2.3205 0.0672 2.3205 1.5233
No log 4.0769 212 2.1642 0.0942 2.1642 1.4711
No log 4.1154 214 1.8181 0.2960 1.8181 1.3484
No log 4.1538 216 1.2739 0.3384 1.2739 1.1287
No log 4.1923 218 1.0418 0.3924 1.0418 1.0207
No log 4.2308 220 1.0354 0.3225 1.0354 1.0175
No log 4.2692 222 1.1240 0.3261 1.1240 1.0602
No log 4.3077 224 1.3552 0.3375 1.3552 1.1641
No log 4.3462 226 1.5743 0.2847 1.5743 1.2547
No log 4.3846 228 1.4377 0.2815 1.4377 1.1991
No log 4.4231 230 1.2151 0.2634 1.2151 1.1023
No log 4.4615 232 1.1626 0.2743 1.1626 1.0782
No log 4.5 234 1.2057 0.3001 1.2057 1.0980
No log 4.5385 236 1.2580 0.3372 1.2580 1.1216
No log 4.5769 238 1.2355 0.3341 1.2355 1.1115
No log 4.6154 240 1.1980 0.3094 1.1980 1.0945
No log 4.6538 242 1.0878 0.2154 1.0878 1.0430
No log 4.6923 244 1.0697 0.2654 1.0697 1.0343
No log 4.7308 246 1.1388 0.2978 1.1388 1.0671
No log 4.7692 248 1.3252 0.3402 1.3252 1.1512
No log 4.8077 250 1.5906 0.3829 1.5906 1.2612
No log 4.8462 252 1.5476 0.3418 1.5476 1.2440
No log 4.8846 254 1.3812 0.3261 1.3812 1.1753
No log 4.9231 256 1.2965 0.3357 1.2965 1.1387
No log 4.9615 258 1.2659 0.3357 1.2659 1.1251
No log 5.0 260 1.3059 0.3357 1.3059 1.1428
No log 5.0385 262 1.2814 0.3357 1.2814 1.1320
No log 5.0769 264 1.2195 0.2864 1.2195 1.1043
No log 5.1154 266 1.1839 0.2864 1.1839 1.0881
No log 5.1538 268 1.2549 0.3115 1.2549 1.1202
No log 5.1923 270 1.3743 0.3357 1.3743 1.1723
No log 5.2308 272 1.3353 0.3115 1.3353 1.1556
No log 5.2692 274 1.2700 0.2367 1.2700 1.1269
No log 5.3077 276 1.1989 0.2535 1.1989 1.0949
No log 5.3462 278 1.1819 0.2152 1.1819 1.0872
No log 5.3846 280 1.2113 0.2250 1.2113 1.1006
No log 5.4231 282 1.2619 0.2424 1.2619 1.1234
No log 5.4615 284 1.2544 0.2424 1.2544 1.1200
No log 5.5 286 1.2897 0.2980 1.2897 1.1357
No log 5.5385 288 1.2291 0.3024 1.2291 1.1086
No log 5.5769 290 1.1682 0.2791 1.1682 1.0809
No log 5.6154 292 1.2319 0.3158 1.2319 1.1099
No log 5.6538 294 1.3126 0.3225 1.3126 1.1457
No log 5.6923 296 1.3985 0.3225 1.3985 1.1826
No log 5.7308 298 1.3571 0.3093 1.3571 1.1649
No log 5.7692 300 1.2409 0.2184 1.2409 1.1140
No log 5.8077 302 1.2296 0.1596 1.2296 1.1089
No log 5.8462 304 1.2615 0.1596 1.2615 1.1231
No log 5.8846 306 1.2840 0.2037 1.2840 1.1331
No log 5.9231 308 1.3539 0.3071 1.3539 1.1636
No log 5.9615 310 1.3454 0.3243 1.3454 1.1599
No log 6.0 312 1.3085 0.3003 1.3085 1.1439
No log 6.0385 314 1.2379 0.2958 1.2379 1.1126
No log 6.0769 316 1.2112 0.3068 1.2112 1.1005
No log 6.1154 318 1.3347 0.3277 1.3347 1.1553
No log 6.1538 320 1.3699 0.2895 1.3699 1.1704
No log 6.1923 322 1.2147 0.2696 1.2147 1.1021
No log 6.2308 324 1.1164 0.2152 1.1164 1.0566
No log 6.2692 326 1.1214 0.2535 1.1214 1.0590
No log 6.3077 328 1.2323 0.2037 1.2323 1.1101
No log 6.3462 330 1.4560 0.2512 1.4560 1.2066
No log 6.3846 332 1.5850 0.3185 1.5850 1.2590
No log 6.4231 334 1.5504 0.3185 1.5504 1.2451
No log 6.4615 336 1.4920 0.3487 1.4920 1.2215
No log 6.5 338 1.3253 0.2895 1.3253 1.1512
No log 6.5385 340 1.2143 0.3115 1.2143 1.1019
No log 6.5769 342 1.1467 0.2978 1.1467 1.0708
No log 6.6154 344 1.1358 0.2978 1.1358 1.0657
No log 6.6538 346 1.1796 0.2837 1.1796 1.0861
No log 6.6923 348 1.3063 0.2173 1.3063 1.1429
No log 6.7308 350 1.3856 0.1345 1.3856 1.1771
No log 6.7692 352 1.3495 0.1031 1.3495 1.1617
No log 6.8077 354 1.2181 0.1538 1.2181 1.1037
No log 6.8462 356 1.0919 0.1541 1.0919 1.0449
No log 6.8846 358 1.0426 0.1662 1.0426 1.0211
No log 6.9231 360 1.0279 0.1820 1.0279 1.0138
No log 6.9615 362 1.0528 0.1911 1.0528 1.0261
No log 7.0 364 1.1604 0.2837 1.1604 1.0772
No log 7.0385 366 1.2286 0.3357 1.2286 1.1084
No log 7.0769 368 1.3072 0.2676 1.3072 1.1433
No log 7.1154 370 1.1962 0.2696 1.1962 1.0937
No log 7.1538 372 1.0886 0.2009 1.0886 1.0434
No log 7.1923 374 1.0800 0.1701 1.0800 1.0392
No log 7.2308 376 1.1260 0.2152 1.1260 1.0611
No log 7.2692 378 1.2307 0.2184 1.2307 1.1094
No log 7.3077 380 1.2698 0.2696 1.2698 1.1269
No log 7.3462 382 1.2545 0.2696 1.2545 1.1200
No log 7.3846 384 1.1776 0.2837 1.1776 1.0852
No log 7.4231 386 1.1576 0.2884 1.1576 1.0759
No log 7.4615 388 1.2056 0.3024 1.2056 1.0980
No log 7.5 390 1.2460 0.2693 1.2460 1.1162
No log 7.5385 392 1.3173 0.2833 1.3173 1.1477
No log 7.5769 394 1.2687 0.1943 1.2687 1.1263
No log 7.6154 396 1.1473 0.2152 1.1473 1.0711
No log 7.6538 398 1.0654 0.1814 1.0654 1.0322
No log 7.6923 400 1.0656 0.1919 1.0656 1.0323
No log 7.7308 402 1.1491 0.1795 1.1491 1.0720
No log 7.7692 404 1.3100 0.2173 1.3100 1.1445
No log 7.8077 406 1.3569 0.2736 1.3569 1.1649
No log 7.8462 408 1.3224 0.2736 1.3224 1.1500
No log 7.8846 410 1.1726 0.2463 1.1726 1.0829
No log 7.9231 412 1.1089 0.2377 1.1089 1.0531
No log 7.9615 414 1.1531 0.2220 1.1531 1.0738
No log 8.0 416 1.3199 0.2817 1.3199 1.1489
No log 8.0385 418 1.5057 0.2815 1.5057 1.2271
No log 8.0769 420 1.4827 0.2289 1.4827 1.2176
No log 8.1154 422 1.3491 0.2087 1.3491 1.1615
No log 8.1538 424 1.2046 0.1316 1.2046 1.0975
No log 8.1923 426 1.1425 0.1048 1.1425 1.0689
No log 8.2308 428 1.1389 0.0948 1.1389 1.0672
No log 8.2692 430 1.1758 0.0880 1.1758 1.0844
No log 8.3077 432 1.2748 0.1637 1.2748 1.1291
No log 8.3462 434 1.3727 0.2484 1.3727 1.1716
No log 8.3846 436 1.3723 0.2484 1.3723 1.1715
No log 8.4231 438 1.3574 0.2761 1.3574 1.1651
No log 8.4615 440 1.3244 0.2761 1.3244 1.1508
No log 8.5 442 1.2957 0.2238 1.2957 1.1383
No log 8.5385 444 1.3438 0.2761 1.3438 1.1592
No log 8.5769 446 1.4323 0.2512 1.4323 1.1968
No log 8.6154 448 1.3717 0.2373 1.3717 1.1712
No log 8.6538 450 1.2708 0.2484 1.2708 1.1273
No log 8.6923 452 1.2603 0.2484 1.2603 1.1226
No log 8.7308 454 1.2535 0.2761 1.2535 1.1196
No log 8.7692 456 1.3324 0.2910 1.3324 1.1543
No log 8.8077 458 1.3134 0.3093 1.3134 1.1461
No log 8.8462 460 1.3261 0.3093 1.3261 1.1516
No log 8.8846 462 1.3299 0.2844 1.3299 1.1532
No log 8.9231 464 1.3301 0.2817 1.3301 1.1533
No log 8.9615 466 1.2945 0.2484 1.2945 1.1378
No log 9.0 468 1.2298 0.0980 1.2298 1.1090
No log 9.0385 470 1.2370 0.0980 1.2370 1.1122
No log 9.0769 472 1.2716 0.1894 1.2716 1.1277
No log 9.1154 474 1.2891 0.2278 1.2891 1.1354
No log 9.1538 476 1.2799 0.2553 1.2799 1.1313
No log 9.1923 478 1.1983 0.2348 1.1983 1.0947
No log 9.2308 480 1.1807 0.1148 1.1807 1.0866
No log 9.2692 482 1.2594 0.2278 1.2594 1.1222
No log 9.3077 484 1.4357 0.2704 1.4357 1.1982
No log 9.3462 486 1.4763 0.2941 1.4763 1.2150
No log 9.3846 488 1.3935 0.2870 1.3935 1.1805
No log 9.4231 490 1.4116 0.2201 1.4116 1.1881
No log 9.4615 492 1.4288 0.1708 1.4288 1.1953
No log 9.5 494 1.4067 0.2201 1.4067 1.1861
No log 9.5385 496 1.4281 0.2457 1.4281 1.1950
No log 9.5769 498 1.3919 0.2489 1.3919 1.1798
0.381 9.6154 500 1.3379 0.3363 1.3379 1.1567
0.381 9.6538 502 1.2957 0.2870 1.2957 1.1383
0.381 9.6923 504 1.4281 0.2964 1.4281 1.1950
0.381 9.7308 506 1.5195 0.2731 1.5195 1.2327
0.381 9.7692 508 1.4301 0.1844 1.4301 1.1959
0.381 9.8077 510 1.2789 0.0904 1.2789 1.1309

Framework versions

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