ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k18_task5_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: 1.4173
  • Qwk: 0.2203
  • Mse: 1.4173
  • Rmse: 1.1905

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 0.0465 2 4.0158 0.0034 4.0158 2.0039
No log 0.0930 4 2.2748 0.0271 2.2748 1.5083
No log 0.1395 6 1.6688 0.0329 1.6688 1.2918
No log 0.1860 8 1.2346 0.0967 1.2346 1.1111
No log 0.2326 10 1.1925 0.0731 1.1925 1.0920
No log 0.2791 12 1.1109 0.2150 1.1109 1.0540
No log 0.3256 14 1.0932 0.1884 1.0932 1.0456
No log 0.3721 16 1.2148 0.0380 1.2148 1.1022
No log 0.4186 18 1.2750 0.0 1.2750 1.1292
No log 0.4651 20 1.1496 0.0760 1.1496 1.0722
No log 0.5116 22 1.1357 0.1379 1.1357 1.0657
No log 0.5581 24 1.1803 0.1333 1.1803 1.0864
No log 0.6047 26 1.1167 0.1981 1.1167 1.0568
No log 0.6512 28 1.1559 0.0445 1.1559 1.0751
No log 0.6977 30 1.2187 0.0445 1.2187 1.1039
No log 0.7442 32 1.2232 0.0445 1.2232 1.1060
No log 0.7907 34 1.1709 0.1643 1.1709 1.0821
No log 0.8372 36 1.1800 0.0792 1.1800 1.0863
No log 0.8837 38 1.3732 -0.0296 1.3732 1.1719
No log 0.9302 40 1.6117 0.0143 1.6117 1.2695
No log 0.9767 42 1.7119 0.0143 1.7119 1.3084
No log 1.0233 44 1.5533 0.0 1.5533 1.2463
No log 1.0698 46 1.4371 -0.0148 1.4371 1.1988
No log 1.1163 48 1.1990 0.0701 1.1990 1.0950
No log 1.1628 50 1.0921 0.2239 1.0921 1.0450
No log 1.2093 52 1.2033 0.0102 1.2033 1.0969
No log 1.2558 54 1.2896 -0.1560 1.2896 1.1356
No log 1.3023 56 1.4626 -0.0326 1.4626 1.2094
No log 1.3488 58 1.3772 -0.0022 1.3772 1.1735
No log 1.3953 60 1.2187 0.1361 1.2187 1.1040
No log 1.4419 62 1.2426 0.0374 1.2426 1.1147
No log 1.4884 64 1.2838 0.0999 1.2838 1.1330
No log 1.5349 66 1.2161 0.0700 1.2161 1.1028
No log 1.5814 68 1.1278 0.2692 1.1278 1.0620
No log 1.6279 70 1.1283 0.1725 1.1283 1.0622
No log 1.6744 72 1.0934 0.2366 1.0934 1.0456
No log 1.7209 74 1.0742 0.1783 1.0742 1.0364
No log 1.7674 76 1.1562 0.1389 1.1562 1.0752
No log 1.8140 78 1.4371 -0.0641 1.4371 1.1988
No log 1.8605 80 1.4812 -0.0641 1.4812 1.2171
No log 1.9070 82 1.4368 -0.0641 1.4368 1.1987
No log 1.9535 84 1.2691 -0.0091 1.2691 1.1266
No log 2.0 86 1.2183 0.0542 1.2183 1.1038
No log 2.0465 88 1.2777 0.0188 1.2777 1.1304
No log 2.0930 90 1.4962 -0.1067 1.4962 1.2232
No log 2.1395 92 1.5524 -0.0747 1.5524 1.2460
No log 2.1860 94 1.3421 0.0587 1.3421 1.1585
No log 2.2326 96 1.1766 0.0164 1.1766 1.0847
No log 2.2791 98 1.1748 0.0164 1.1748 1.0839
No log 2.3256 100 1.3960 0.0464 1.3960 1.1815
No log 2.3721 102 1.7946 -0.1843 1.7946 1.3396
No log 2.4186 104 1.9849 -0.3093 1.9849 1.4089
No log 2.4651 106 1.9655 -0.1443 1.9655 1.4020
No log 2.5116 108 1.7718 -0.0788 1.7718 1.3311
No log 2.5581 110 1.5684 -0.0167 1.5684 1.2524
No log 2.6047 112 1.6681 -0.0688 1.6681 1.2915
No log 2.6512 114 1.8767 -0.1179 1.8767 1.3699
No log 2.6977 116 2.0265 -0.1122 2.0265 1.4235
No log 2.7442 118 2.0327 -0.1111 2.0327 1.4257
No log 2.7907 120 2.0568 -0.1154 2.0568 1.4342
No log 2.8372 122 1.8257 -0.0655 1.8257 1.3512
No log 2.8837 124 1.5250 -0.0735 1.5250 1.2349
No log 2.9302 126 1.7056 -0.1078 1.7056 1.3060
No log 2.9767 128 2.0799 -0.2156 2.0799 1.4422
No log 3.0233 130 2.3604 -0.2661 2.3604 1.5364
No log 3.0698 132 2.2817 -0.1571 2.2817 1.5105
No log 3.1163 134 2.0215 -0.1658 2.0215 1.4218
No log 3.1628 136 1.9382 -0.1254 1.9382 1.3922
No log 3.2093 138 1.8794 -0.0892 1.8794 1.3709
No log 3.2558 140 1.8790 -0.0849 1.8790 1.3708
No log 3.3023 142 1.7651 -0.0762 1.7651 1.3286
No log 3.3488 144 1.5874 0.0294 1.5874 1.2599
No log 3.3953 146 1.5857 0.0294 1.5857 1.2593
No log 3.4419 148 1.6410 0.0279 1.6410 1.2810
No log 3.4884 150 1.7296 -0.0267 1.7296 1.3151
No log 3.5349 152 1.7572 -0.0757 1.7572 1.3256
No log 3.5814 154 1.7626 -0.0397 1.7626 1.3276
No log 3.6279 156 1.7589 -0.0508 1.7589 1.3262
No log 3.6744 158 1.7225 -0.0709 1.7225 1.3124
No log 3.7209 160 1.7571 -0.0514 1.7571 1.3256
No log 3.7674 162 1.8652 0.0726 1.8652 1.3657
No log 3.8140 164 1.9178 0.0402 1.9178 1.3849
No log 3.8605 166 1.8296 0.0400 1.8296 1.3526
No log 3.9070 168 1.8390 0.0562 1.8390 1.3561
No log 3.9535 170 1.8316 0.1342 1.8316 1.3534
No log 4.0 172 1.6492 0.2105 1.6492 1.2842
No log 4.0465 174 1.5041 0.1282 1.5041 1.2264
No log 4.0930 176 1.4473 0.1198 1.4473 1.2030
No log 4.1395 178 1.4441 0.0270 1.4441 1.2017
No log 4.1860 180 1.5250 0.0809 1.5250 1.2349
No log 4.2326 182 1.7949 0.1525 1.7949 1.3397
No log 4.2791 184 1.8869 0.2098 1.8869 1.3736
No log 4.3256 186 1.7513 0.1663 1.7513 1.3234
No log 4.3721 188 1.5116 0.2342 1.5116 1.2295
No log 4.4186 190 1.4053 0.0946 1.4053 1.1854
No log 4.4651 192 1.4701 0.1911 1.4701 1.2125
No log 4.5116 194 1.4924 0.1423 1.4924 1.2216
No log 4.5581 196 1.4566 0.1423 1.4566 1.2069
No log 4.6047 198 1.3964 0.0602 1.3964 1.1817
No log 4.6512 200 1.3917 0.1110 1.3917 1.1797
No log 4.6977 202 1.4722 0.1110 1.4722 1.2133
No log 4.7442 204 1.5527 0.1423 1.5527 1.2461
No log 4.7907 206 1.5580 0.1027 1.5580 1.2482
No log 4.8372 208 1.5547 0.1027 1.5547 1.2469
No log 4.8837 210 1.5379 0.1423 1.5379 1.2401
No log 4.9302 212 1.4935 0.1904 1.4935 1.2221
No log 4.9767 214 1.3986 0.1943 1.3986 1.1826
No log 5.0233 216 1.3692 0.2126 1.3692 1.1701
No log 5.0698 218 1.4618 0.2239 1.4618 1.2090
No log 5.1163 220 1.4239 0.2203 1.4239 1.1933
No log 5.1628 222 1.4044 0.2203 1.4044 1.1851
No log 5.2093 224 1.4201 0.1886 1.4201 1.1917
No log 5.2558 226 1.5313 0.2062 1.5313 1.2375
No log 5.3023 228 1.7123 0.2058 1.7123 1.3086
No log 5.3488 230 1.7435 0.2159 1.7435 1.3204
No log 5.3953 232 1.7344 0.1847 1.7344 1.3170
No log 5.4419 234 1.7113 0.2389 1.7113 1.3082
No log 5.4884 236 1.5943 0.1461 1.5943 1.2627
No log 5.5349 238 1.5300 0.1911 1.5300 1.2369
No log 5.5814 240 1.3800 0.1052 1.3800 1.1748
No log 5.6279 242 1.2858 0.1052 1.2858 1.1340
No log 5.6744 244 1.2331 0.0401 1.2331 1.1104
No log 5.7209 246 1.2292 0.0401 1.2292 1.1087
No log 5.7674 248 1.2115 0.0401 1.2115 1.1007
No log 5.8140 250 1.1719 0.0556 1.1719 1.0825
No log 5.8605 252 1.2124 0.0155 1.2124 1.1011
No log 5.9070 254 1.3383 0.0781 1.3383 1.1568
No log 5.9535 256 1.5361 0.1880 1.5361 1.2394
No log 6.0 258 1.5969 0.2417 1.5969 1.2637
No log 6.0465 260 1.5606 0.1966 1.5606 1.2493
No log 6.0930 262 1.4927 0.1966 1.4927 1.2217
No log 6.1395 264 1.4304 0.1886 1.4304 1.1960
No log 6.1860 266 1.4096 0.1886 1.4096 1.1873
No log 6.2326 268 1.3993 0.1886 1.3993 1.1829
No log 6.2791 270 1.4090 0.2203 1.4090 1.1870
No log 6.3256 272 1.4105 0.2203 1.4105 1.1876
No log 6.3721 274 1.4330 0.2602 1.4330 1.1971
No log 6.4186 276 1.4609 0.2877 1.4609 1.2087
No log 6.4651 278 1.5520 0.2771 1.5520 1.2458
No log 6.5116 280 1.5514 0.2952 1.5514 1.2455
No log 6.5581 282 1.4028 0.1202 1.4028 1.1844
No log 6.6047 284 1.3340 0.0833 1.3340 1.1550
No log 6.6512 286 1.3384 0.0833 1.3384 1.1569
No log 6.6977 288 1.3951 0.1816 1.3951 1.1812
No log 6.7442 290 1.4149 0.2260 1.4149 1.1895
No log 6.7907 292 1.3530 0.2455 1.3530 1.1632
No log 6.8372 294 1.3136 0.2203 1.3136 1.1461
No log 6.8837 296 1.2733 0.2143 1.2733 1.1284
No log 6.9302 298 1.2451 0.1816 1.2451 1.1159
No log 6.9767 300 1.2722 0.1886 1.2722 1.1279
No log 7.0233 302 1.3315 0.2506 1.3315 1.1539
No log 7.0698 304 1.4601 0.2690 1.4601 1.2084
No log 7.1163 306 1.5579 0.2731 1.5579 1.2482
No log 7.1628 308 1.5942 0.2845 1.5942 1.2626
No log 7.2093 310 1.6040 0.3172 1.6040 1.2665
No log 7.2558 312 1.4768 0.2075 1.4768 1.2153
No log 7.3023 314 1.3606 0.2203 1.3606 1.1665
No log 7.3488 316 1.2386 0.0811 1.2386 1.1129
No log 7.3953 318 1.1997 0.0464 1.1997 1.0953
No log 7.4419 320 1.2462 0.1198 1.2462 1.1163
No log 7.4884 322 1.4446 0.2446 1.4446 1.2019
No log 7.5349 324 1.5684 0.3291 1.5684 1.2524
No log 7.5814 326 1.5017 0.2686 1.5017 1.2255
No log 7.6279 328 1.4543 0.2686 1.4543 1.2059
No log 7.6744 330 1.3891 0.2341 1.3891 1.1786
No log 7.7209 332 1.2804 0.1697 1.2804 1.1315
No log 7.7674 334 1.2328 0.1622 1.2328 1.1103
No log 7.8140 336 1.2383 0.1622 1.2383 1.1128
No log 7.8605 338 1.2579 0.1697 1.2579 1.1216
No log 7.9070 340 1.2273 0.1622 1.2273 1.1078
No log 7.9535 342 1.2632 0.1961 1.2632 1.1239
No log 8.0 344 1.4100 0.3107 1.4100 1.1874
No log 8.0465 346 1.5107 0.2915 1.5107 1.2291
No log 8.0930 348 1.5884 0.2869 1.5884 1.2603
No log 8.1395 350 1.4936 0.2292 1.4936 1.2221
No log 8.1860 352 1.3335 0.1744 1.3335 1.1548
No log 8.2326 354 1.2769 0.1142 1.2769 1.1300
No log 8.2791 356 1.2335 0.0833 1.2335 1.1106
No log 8.3256 358 1.2600 0.0833 1.2600 1.1225
No log 8.3721 360 1.2913 0.1473 1.2913 1.1364
No log 8.4186 362 1.3304 0.2506 1.3304 1.1534
No log 8.4651 364 1.3713 0.2795 1.3713 1.1710
No log 8.5116 366 1.4654 0.3336 1.4654 1.2105
No log 8.5581 368 1.6045 0.3053 1.6045 1.2667
No log 8.6047 370 1.6447 0.3084 1.6447 1.2825
No log 8.6512 372 1.5284 0.3365 1.5284 1.2363
No log 8.6977 374 1.3155 0.1142 1.3155 1.1470
No log 8.7442 376 1.1636 0.0587 1.1636 1.0787
No log 8.7907 378 1.1878 0.0587 1.1878 1.0899
No log 8.8372 380 1.2641 0.1552 1.2641 1.1243
No log 8.8837 382 1.3758 0.3072 1.3758 1.1730
No log 8.9302 384 1.4634 0.3072 1.4634 1.2097
No log 8.9767 386 1.4040 0.2795 1.4040 1.1849
No log 9.0233 388 1.3510 0.2143 1.3510 1.1623
No log 9.0698 390 1.3074 0.1473 1.3074 1.1434
No log 9.1163 392 1.3014 0.1473 1.3014 1.1408
No log 9.1628 394 1.3674 0.1816 1.3674 1.1694
No log 9.2093 396 1.4239 0.2143 1.4239 1.1933
No log 9.2558 398 1.4139 0.1961 1.4139 1.1891
No log 9.3023 400 1.3397 0.0833 1.3397 1.1574
No log 9.3488 402 1.2867 0.0401 1.2867 1.1343
No log 9.3953 404 1.2532 0.0401 1.2532 1.1195
No log 9.4419 406 1.3141 0.0401 1.3141 1.1464
No log 9.4884 408 1.4660 0.2126 1.4660 1.2108
No log 9.5349 410 1.5809 0.2292 1.5809 1.2573
No log 9.5814 412 1.5841 0.2292 1.5841 1.2586
No log 9.6279 414 1.4739 0.2239 1.4739 1.2140
No log 9.6744 416 1.3543 0.0811 1.3543 1.1638
No log 9.7209 418 1.3587 0.0433 1.3587 1.1656
No log 9.7674 420 1.4305 0.1473 1.4305 1.1960
No log 9.8140 422 1.4515 0.0864 1.4515 1.2048
No log 9.8605 424 1.4288 0.0342 1.4288 1.1953
No log 9.9070 426 1.4479 0.1579 1.4479 1.2033
No log 9.9535 428 1.4027 0.1288 1.4027 1.1844
No log 10.0 430 1.3702 0.1032 1.3702 1.1706
No log 10.0465 432 1.3702 0.1354 1.3702 1.1706
No log 10.0930 434 1.4261 0.1850 1.4261 1.1942
No log 10.1395 436 1.5612 0.2638 1.5612 1.2495
No log 10.1860 438 1.6822 0.2448 1.6822 1.2970
No log 10.2326 440 1.6520 0.2406 1.6520 1.2853
No log 10.2791 442 1.5118 0.2568 1.5118 1.2295
No log 10.3256 444 1.3427 0.1703 1.3428 1.1588
No log 10.3721 446 1.2836 0.1388 1.2836 1.1329
No log 10.4186 448 1.2133 0.0390 1.2133 1.1015
No log 10.4651 450 1.1985 0.0390 1.1985 1.0947
No log 10.5116 452 1.2548 0.0760 1.2548 1.1202
No log 10.5581 454 1.3263 0.1562 1.3263 1.1517
No log 10.6047 456 1.4613 0.2239 1.4613 1.2089
No log 10.6512 458 1.5457 0.2239 1.5457 1.2433
No log 10.6977 460 1.5332 0.2239 1.5332 1.2382
No log 10.7442 462 1.4256 0.2075 1.4256 1.1940
No log 10.7907 464 1.3619 0.0907 1.3619 1.1670
No log 10.8372 466 1.3427 0.1202 1.3427 1.1588
No log 10.8837 468 1.3685 0.1886 1.3685 1.1698
No log 10.9302 470 1.3409 0.1142 1.3409 1.1580
No log 10.9767 472 1.3150 0.0760 1.3150 1.1467
No log 11.0233 474 1.3662 0.2075 1.3662 1.1688
No log 11.0698 476 1.4299 0.2424 1.4299 1.1958
No log 11.1163 478 1.4766 0.2795 1.4766 1.2152
No log 11.1628 480 1.4034 0.2203 1.4034 1.1846
No log 11.2093 482 1.3017 0.1473 1.3017 1.1409
No log 11.2558 484 1.3029 0.1473 1.3029 1.1415
No log 11.3023 486 1.3273 0.1473 1.3273 1.1521
No log 11.3488 488 1.3937 0.2506 1.3937 1.1805
No log 11.3953 490 1.4422 0.2506 1.4422 1.2009
No log 11.4419 492 1.4778 0.2837 1.4778 1.2157
No log 11.4884 494 1.4486 0.2506 1.4486 1.2036
No log 11.5349 496 1.3810 0.2506 1.3810 1.1752
No log 11.5814 498 1.4061 0.2424 1.4061 1.1858
0.3525 11.6279 500 1.4555 0.2522 1.4555 1.2064
0.3525 11.6744 502 1.4663 0.2522 1.4663 1.2109
0.3525 11.7209 504 1.3918 0.2522 1.3918 1.1797
0.3525 11.7674 506 1.3950 0.2239 1.3950 1.1811
0.3525 11.8140 508 1.4212 0.2126 1.4212 1.1921
0.3525 11.8605 510 1.4173 0.2203 1.4173 1.1905

Framework versions

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