ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k2_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: 1.3076
  • Qwk: 0.2288
  • Mse: 1.3076
  • Rmse: 1.1435

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 0.1818 2 4.8149 -0.0214 4.8149 2.1943
No log 0.3636 4 2.6152 0.0274 2.6152 1.6172
No log 0.5455 6 1.8265 0.0683 1.8265 1.3515
No log 0.7273 8 1.6922 0.0222 1.6922 1.3008
No log 0.9091 10 1.1989 0.1176 1.1989 1.0950
No log 1.0909 12 1.2812 0.0439 1.2812 1.1319
No log 1.2727 14 1.4025 -0.0234 1.4025 1.1843
No log 1.4545 16 1.5191 -0.0029 1.5191 1.2325
No log 1.6364 18 1.4466 -0.0795 1.4466 1.2027
No log 1.8182 20 1.7521 -0.0126 1.7521 1.3237
No log 2.0 22 1.9764 -0.0061 1.9764 1.4058
No log 2.1818 24 1.8051 -0.0126 1.8051 1.3435
No log 2.3636 26 1.6007 0.0057 1.6007 1.2652
No log 2.5455 28 1.8773 -0.0202 1.8773 1.3701
No log 2.7273 30 2.1194 0.0277 2.1194 1.4558
No log 2.9091 32 1.9581 0.0504 1.9581 1.3993
No log 3.0909 34 1.5453 -0.0674 1.5453 1.2431
No log 3.2727 36 1.2999 0.0914 1.2999 1.1401
No log 3.4545 38 1.3539 0.2061 1.3539 1.1636
No log 3.6364 40 1.3417 0.1961 1.3417 1.1583
No log 3.8182 42 1.2802 0.1517 1.2802 1.1314
No log 4.0 44 1.4004 -0.0047 1.4004 1.1834
No log 4.1818 46 1.4426 0.0104 1.4426 1.2011
No log 4.3636 48 1.3499 0.0688 1.3499 1.1619
No log 4.5455 50 1.2453 0.1493 1.2453 1.1159
No log 4.7273 52 1.2752 0.2276 1.2752 1.1293
No log 4.9091 54 1.3036 0.2752 1.3036 1.1418
No log 5.0909 56 1.3080 0.2273 1.3080 1.1437
No log 5.2727 58 1.3025 0.1888 1.3025 1.1413
No log 5.4545 60 1.3554 0.2389 1.3554 1.1642
No log 5.6364 62 1.3768 0.1644 1.3768 1.1734
No log 5.8182 64 1.3706 0.2374 1.3706 1.1707
No log 6.0 66 1.3722 0.2454 1.3722 1.1714
No log 6.1818 68 1.3786 0.2559 1.3786 1.1741
No log 6.3636 70 1.4582 0.2784 1.4582 1.2076
No log 6.5455 72 1.3879 0.3481 1.3879 1.1781
No log 6.7273 74 1.2573 0.3281 1.2573 1.1213
No log 6.9091 76 1.2642 0.3699 1.2642 1.1244
No log 7.0909 78 1.1664 0.3165 1.1664 1.0800
No log 7.2727 80 1.2146 0.3400 1.2146 1.1021
No log 7.4545 82 1.5901 0.2764 1.5901 1.2610
No log 7.6364 84 1.6875 0.2074 1.6875 1.2991
No log 7.8182 86 1.3330 0.2846 1.3330 1.1546
No log 8.0 88 1.1789 0.2955 1.1789 1.0858
No log 8.1818 90 1.1634 0.1959 1.1634 1.0786
No log 8.3636 92 1.1401 0.2850 1.1401 1.0678
No log 8.5455 94 1.2421 0.2894 1.2421 1.1145
No log 8.7273 96 1.4736 0.3024 1.4736 1.2139
No log 8.9091 98 1.4869 0.2970 1.4869 1.2194
No log 9.0909 100 1.4700 0.2895 1.4700 1.2124
No log 9.2727 102 1.3069 0.2463 1.3069 1.1432
No log 9.4545 104 1.2080 0.2701 1.2080 1.0991
No log 9.6364 106 1.2201 0.3065 1.2201 1.1046
No log 9.8182 108 1.2376 0.2424 1.2376 1.1125
No log 10.0 110 1.3303 0.2309 1.3303 1.1534
No log 10.1818 112 1.4496 0.3083 1.4496 1.2040
No log 10.3636 114 1.4144 0.2509 1.4144 1.1893
No log 10.5455 116 1.4084 0.2514 1.4084 1.1868
No log 10.7273 118 1.4537 0.2201 1.4537 1.2057
No log 10.9091 120 1.4915 0.1358 1.4915 1.2213
No log 11.0909 122 1.6116 0.1923 1.6116 1.2695
No log 11.2727 124 1.6057 0.1843 1.6057 1.2672
No log 11.4545 126 1.4093 0.1159 1.4093 1.1871
No log 11.6364 128 1.3109 0.1860 1.3109 1.1449
No log 11.8182 130 1.2820 0.2231 1.2820 1.1323
No log 12.0 132 1.2696 0.2132 1.2696 1.1267
No log 12.1818 134 1.3214 0.1825 1.3214 1.1495
No log 12.3636 136 1.3967 0.2003 1.3967 1.1818
No log 12.5455 138 1.4054 0.1913 1.4054 1.1855
No log 12.7273 140 1.3839 0.2011 1.3839 1.1764
No log 12.9091 142 1.3277 0.2322 1.3277 1.1523
No log 13.0909 144 1.3346 0.2322 1.3346 1.1552
No log 13.2727 146 1.3988 0.2491 1.3988 1.1827
No log 13.4545 148 1.5309 0.1408 1.5309 1.2373
No log 13.6364 150 1.4736 0.1649 1.4736 1.2139
No log 13.8182 152 1.4190 0.1867 1.4190 1.1912
No log 14.0 154 1.3287 0.2020 1.3287 1.1527
No log 14.1818 156 1.2871 0.2271 1.2871 1.1345
No log 14.3636 158 1.3342 0.1430 1.3342 1.1551
No log 14.5455 160 1.3896 0.0711 1.3896 1.1788
No log 14.7273 162 1.4170 0.0685 1.4170 1.1904
No log 14.9091 164 1.3722 0.0500 1.3722 1.1714
No log 15.0909 166 1.3743 0.1037 1.3743 1.1723
No log 15.2727 168 1.4137 0.1338 1.4137 1.1890
No log 15.4545 170 1.3534 0.1968 1.3534 1.1634
No log 15.6364 172 1.3043 0.2199 1.3043 1.1421
No log 15.8182 174 1.3274 0.1176 1.3274 1.1521
No log 16.0 176 1.3173 0.1176 1.3173 1.1477
No log 16.1818 178 1.2766 0.2658 1.2766 1.1299
No log 16.3636 180 1.3106 0.2121 1.3106 1.1448
No log 16.5455 182 1.4535 0.2069 1.4535 1.2056
No log 16.7273 184 1.5280 0.2113 1.5280 1.2361
No log 16.9091 186 1.4371 0.2765 1.4371 1.1988
No log 17.0909 188 1.2771 0.2712 1.2771 1.1301
No log 17.2727 190 1.2076 0.2925 1.2076 1.0989
No log 17.4545 192 1.1916 0.2676 1.1916 1.0916
No log 17.6364 194 1.2207 0.2838 1.2207 1.1049
No log 17.8182 196 1.3416 0.2563 1.3416 1.1583
No log 18.0 198 1.4222 0.2880 1.4222 1.1926
No log 18.1818 200 1.4503 0.3332 1.4503 1.2043
No log 18.3636 202 1.3704 0.3432 1.3704 1.1706
No log 18.5455 204 1.3494 0.3249 1.3494 1.1616
No log 18.7273 206 1.3867 0.2668 1.3867 1.1776
No log 18.9091 208 1.4452 0.1481 1.4452 1.2022
No log 19.0909 210 1.5197 0.1888 1.5197 1.2328
No log 19.2727 212 1.5100 0.2092 1.5100 1.2288
No log 19.4545 214 1.4096 0.2800 1.4096 1.1873
No log 19.6364 216 1.3544 0.2701 1.3544 1.1638
No log 19.8182 218 1.3700 0.2654 1.3700 1.1705
No log 20.0 220 1.4389 0.2444 1.4389 1.1996
No log 20.1818 222 1.4292 0.2037 1.4292 1.1955
No log 20.3636 224 1.3185 0.2481 1.3185 1.1483
No log 20.5455 226 1.2544 0.2783 1.2544 1.1200
No log 20.7273 228 1.2701 0.2811 1.2701 1.1270
No log 20.9091 230 1.3800 0.2956 1.3800 1.1747
No log 21.0909 232 1.5250 0.1966 1.5250 1.2349
No log 21.2727 234 1.4805 0.2461 1.4805 1.2168
No log 21.4545 236 1.3151 0.2712 1.3151 1.1468
No log 21.6364 238 1.2151 0.2783 1.2151 1.1023
No log 21.8182 240 1.1754 0.2754 1.1754 1.0841
No log 22.0 242 1.1615 0.2692 1.1615 1.0777
No log 22.1818 244 1.1817 0.2231 1.1817 1.0870
No log 22.3636 246 1.1833 0.2231 1.1833 1.0878
No log 22.5455 248 1.2417 0.2623 1.2417 1.1143
No log 22.7273 250 1.2693 0.2739 1.2693 1.1266
No log 22.9091 252 1.3587 0.3080 1.3587 1.1656
No log 23.0909 254 1.4721 0.2720 1.4721 1.2133
No log 23.2727 256 1.4179 0.3116 1.4179 1.1908
No log 23.4545 258 1.2652 0.3127 1.2652 1.1248
No log 23.6364 260 1.1877 0.2754 1.1877 1.0898
No log 23.8182 262 1.1727 0.2477 1.1727 1.0829
No log 24.0 264 1.1547 0.2477 1.1547 1.0746
No log 24.1818 266 1.1442 0.2360 1.1442 1.0697
No log 24.3636 268 1.1634 0.2692 1.1634 1.0786
No log 24.5455 270 1.1941 0.2539 1.1941 1.0928
No log 24.7273 272 1.2627 0.2015 1.2627 1.1237
No log 24.9091 274 1.3010 0.2235 1.3010 1.1406
No log 25.0909 276 1.2977 0.2532 1.2977 1.1392
No log 25.2727 278 1.2605 0.2909 1.2605 1.1227
No log 25.4545 280 1.1970 0.3157 1.1970 1.0941
No log 25.6364 282 1.1819 0.3292 1.1819 1.0871
No log 25.8182 284 1.2126 0.3326 1.2126 1.1012
No log 26.0 286 1.2919 0.3081 1.2919 1.1366
No log 26.1818 288 1.3228 0.3326 1.3228 1.1501
No log 26.3636 290 1.3149 0.3715 1.3149 1.1467
No log 26.5455 292 1.2120 0.3146 1.2120 1.1009
No log 26.7273 294 1.1378 0.2811 1.1378 1.0667
No log 26.9091 296 1.1295 0.2783 1.1295 1.0628
No log 27.0909 298 1.1537 0.2783 1.1537 1.0741
No log 27.2727 300 1.2441 0.2773 1.2441 1.1154
No log 27.4545 302 1.3448 0.2663 1.3448 1.1597
No log 27.6364 304 1.3990 0.2191 1.3990 1.1828
No log 27.8182 306 1.4002 0.2191 1.4002 1.1833
No log 28.0 308 1.3759 0.1892 1.3759 1.1730
No log 28.1818 310 1.2882 0.2110 1.2882 1.1350
No log 28.3636 312 1.1982 0.2893 1.1982 1.0946
No log 28.5455 314 1.1610 0.2360 1.1610 1.0775
No log 28.7273 316 1.1634 0.2401 1.1634 1.0786
No log 28.9091 318 1.2224 0.2673 1.2224 1.1056
No log 29.0909 320 1.3165 0.2235 1.3165 1.1474
No log 29.2727 322 1.3153 0.2864 1.3153 1.1469
No log 29.4545 324 1.3083 0.3349 1.3083 1.1438
No log 29.6364 326 1.2257 0.3115 1.2257 1.1071
No log 29.8182 328 1.1891 0.3019 1.1891 1.0904
No log 30.0 330 1.1878 0.3019 1.1878 1.0899
No log 30.1818 332 1.2321 0.3464 1.2321 1.1100
No log 30.3636 334 1.3177 0.3191 1.3177 1.1479
No log 30.5455 336 1.3598 0.3243 1.3598 1.1661
No log 30.7273 338 1.3845 0.2885 1.3845 1.1766
No log 30.9091 340 1.3309 0.3348 1.3309 1.1536
No log 31.0909 342 1.2829 0.3725 1.2829 1.1327
No log 31.2727 344 1.2565 0.3211 1.2565 1.1210
No log 31.4545 346 1.2773 0.2801 1.2773 1.1302
No log 31.6364 348 1.3380 0.1764 1.3380 1.1567
No log 31.8182 350 1.4183 0.1554 1.4183 1.1909
No log 32.0 352 1.4325 0.1891 1.4325 1.1969
No log 32.1818 354 1.3618 0.1611 1.3618 1.1669
No log 32.3636 356 1.2672 0.3069 1.2672 1.1257
No log 32.5455 358 1.2406 0.3069 1.2406 1.1138
No log 32.7273 360 1.2207 0.2754 1.2207 1.1048
No log 32.9091 362 1.2316 0.3019 1.2316 1.1098
No log 33.0909 364 1.2412 0.3043 1.2412 1.1141
No log 33.2727 366 1.2789 0.3285 1.2789 1.1309
No log 33.4545 368 1.3394 0.3491 1.3394 1.1573
No log 33.6364 370 1.3227 0.2397 1.3227 1.1501
No log 33.8182 372 1.2677 0.2810 1.2677 1.1259
No log 34.0 374 1.2133 0.2522 1.2133 1.1015
No log 34.1818 376 1.2010 0.2522 1.2010 1.0959
No log 34.3636 378 1.2133 0.2801 1.2133 1.1015
No log 34.5455 380 1.2323 0.3091 1.2323 1.1101
No log 34.7273 382 1.2401 0.3249 1.2401 1.1136
No log 34.9091 384 1.2534 0.3310 1.2534 1.1195
No log 35.0909 386 1.2668 0.3415 1.2668 1.1255
No log 35.2727 388 1.2618 0.3400 1.2618 1.1233
No log 35.4545 390 1.2702 0.3584 1.2702 1.1270
No log 35.6364 392 1.2684 0.3451 1.2684 1.1262
No log 35.8182 394 1.2257 0.2871 1.2257 1.1071
No log 36.0 396 1.2157 0.2871 1.2157 1.1026
No log 36.1818 398 1.2159 0.2871 1.2159 1.1027
No log 36.3636 400 1.2354 0.3144 1.2354 1.1115
No log 36.5455 402 1.2358 0.3289 1.2358 1.1117
No log 36.7273 404 1.2476 0.3091 1.2476 1.1170
No log 36.9091 406 1.2807 0.3359 1.2807 1.1317
No log 37.0909 408 1.2595 0.3268 1.2595 1.1223
No log 37.2727 410 1.2324 0.3136 1.2324 1.1102
No log 37.4545 412 1.2356 0.3091 1.2356 1.1116
No log 37.6364 414 1.2939 0.2999 1.2939 1.1375
No log 37.8182 416 1.3515 0.2164 1.3515 1.1625
No log 38.0 418 1.3697 0.2775 1.3697 1.1703
No log 38.1818 420 1.3372 0.2875 1.3372 1.1564
No log 38.3636 422 1.2986 0.3430 1.2986 1.1395
No log 38.5455 424 1.2829 0.3310 1.2829 1.1327
No log 38.7273 426 1.2885 0.3415 1.2885 1.1351
No log 38.9091 428 1.3080 0.3478 1.3080 1.1437
No log 39.0909 430 1.3258 0.2889 1.3258 1.1514
No log 39.2727 432 1.3661 0.2032 1.3661 1.1688
No log 39.4545 434 1.3933 0.1618 1.3933 1.1804
No log 39.6364 436 1.3515 0.1753 1.3515 1.1625
No log 39.8182 438 1.2853 0.2951 1.2853 1.1337
No log 40.0 440 1.2400 0.3289 1.2400 1.1135
No log 40.1818 442 1.2377 0.3289 1.2377 1.1125
No log 40.3636 444 1.2540 0.3343 1.2540 1.1198
No log 40.5455 446 1.2913 0.3243 1.2913 1.1363
No log 40.7273 448 1.3624 0.2029 1.3624 1.1672
No log 40.9091 450 1.3737 0.2029 1.3737 1.1721
No log 41.0909 452 1.3436 0.3064 1.3436 1.1591
No log 41.2727 454 1.2978 0.3173 1.2978 1.1392
No log 41.4545 456 1.2453 0.3157 1.2453 1.1159
No log 41.6364 458 1.2230 0.3019 1.2230 1.1059
No log 41.8182 460 1.2099 0.2970 1.2099 1.1000
No log 42.0 462 1.2017 0.2970 1.2017 1.0962
No log 42.1818 464 1.2053 0.3335 1.2053 1.0979
No log 42.3636 466 1.2363 0.3091 1.2363 1.1119
No log 42.5455 468 1.2877 0.2999 1.2877 1.1348
No log 42.7273 470 1.3060 0.2579 1.3060 1.1428
No log 42.9091 472 1.2783 0.2933 1.2783 1.1306
No log 43.0909 474 1.2571 0.3065 1.2571 1.1212
No log 43.2727 476 1.2579 0.3214 1.2579 1.1216
No log 43.4545 478 1.2789 0.3404 1.2789 1.1309
No log 43.6364 480 1.2961 0.3064 1.2961 1.1384
No log 43.8182 482 1.3303 0.2898 1.3303 1.1534
No log 44.0 484 1.3587 0.3022 1.3587 1.1657
No log 44.1818 486 1.3585 0.2677 1.3585 1.1655
No log 44.3636 488 1.3066 0.3085 1.3066 1.1431
No log 44.5455 490 1.2372 0.2976 1.2372 1.1123
No log 44.7273 492 1.1994 0.2997 1.1994 1.0952
No log 44.9091 494 1.1938 0.2877 1.1938 1.0926
No log 45.0909 496 1.1935 0.2877 1.1935 1.0925
No log 45.2727 498 1.1997 0.2877 1.1997 1.0953
0.2787 45.4545 500 1.2235 0.3157 1.2235 1.1061
0.2787 45.6364 502 1.2668 0.3375 1.2668 1.1255
0.2787 45.8182 504 1.2616 0.3375 1.2616 1.1232
0.2787 46.0 506 1.2725 0.3617 1.2725 1.1281
0.2787 46.1818 508 1.2821 0.2999 1.2821 1.1323
0.2787 46.3636 510 1.2674 0.2999 1.2674 1.1258
0.2787 46.5455 512 1.2599 0.2999 1.2599 1.1225
0.2787 46.7273 514 1.2253 0.3231 1.2253 1.1069
0.2787 46.9091 516 1.1765 0.2850 1.1765 1.0847
0.2787 47.0909 518 1.1639 0.2792 1.1639 1.0788
0.2787 47.2727 520 1.1765 0.2850 1.1765 1.0847
0.2787 47.4545 522 1.1988 0.2850 1.1988 1.0949
0.2787 47.6364 524 1.2472 0.3231 1.2472 1.1168
0.2787 47.8182 526 1.3187 0.3243 1.3187 1.1483
0.2787 48.0 528 1.4337 0.1621 1.4337 1.1974
0.2787 48.1818 530 1.5101 0.0992 1.5101 1.2288
0.2787 48.3636 532 1.5025 0.1028 1.5025 1.2258
0.2787 48.5455 534 1.4257 0.1979 1.4257 1.1940
0.2787 48.7273 536 1.3076 0.2288 1.3076 1.1435

Framework versions

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