ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k12_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: 1.2337
  • Qwk: 0.5161
  • Mse: 1.2337
  • Rmse: 1.1107

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 0.0351 2 6.8942 0.0116 6.8942 2.6257
No log 0.0702 4 4.4220 0.0894 4.4220 2.1029
No log 0.1053 6 3.2594 0.0357 3.2594 1.8054
No log 0.1404 8 2.6970 0.0658 2.6970 1.6423
No log 0.1754 10 2.3389 0.1460 2.3389 1.5293
No log 0.2105 12 1.8358 0.1565 1.8358 1.3549
No log 0.2456 14 1.5858 0.1714 1.5858 1.2593
No log 0.2807 16 1.4972 0.2202 1.4972 1.2236
No log 0.3158 18 1.4868 0.2105 1.4868 1.2193
No log 0.3509 20 1.3908 0.4167 1.3908 1.1793
No log 0.3860 22 1.4142 0.3167 1.4142 1.1892
No log 0.4211 24 1.7158 0.1935 1.7158 1.3099
No log 0.4561 26 1.5753 0.3333 1.5753 1.2551
No log 0.4912 28 1.3564 0.4000 1.3564 1.1646
No log 0.5263 30 1.3360 0.3866 1.3360 1.1559
No log 0.5614 32 1.5726 0.3279 1.5726 1.2540
No log 0.5965 34 2.2301 0.2190 2.2301 1.4933
No log 0.6316 36 2.3010 0.1379 2.3010 1.5169
No log 0.6667 38 1.8259 0.3231 1.8259 1.3513
No log 0.7018 40 1.2604 0.4298 1.2604 1.1227
No log 0.7368 42 1.5373 0.4068 1.5373 1.2399
No log 0.7719 44 1.5869 0.3333 1.5869 1.2597
No log 0.8070 46 1.2941 0.3966 1.2941 1.1376
No log 0.8421 48 1.2781 0.3697 1.2781 1.1305
No log 0.8772 50 1.2737 0.3697 1.2737 1.1286
No log 0.9123 52 1.2469 0.4167 1.2469 1.1166
No log 0.9474 54 1.3488 0.2957 1.3488 1.1614
No log 0.9825 56 1.2451 0.4839 1.2451 1.1158
No log 1.0175 58 1.3274 0.5038 1.3274 1.1521
No log 1.0526 60 1.4859 0.4444 1.4859 1.2190
No log 1.0877 62 1.3775 0.4769 1.3775 1.1737
No log 1.1228 64 1.2215 0.4882 1.2215 1.1052
No log 1.1579 66 1.2108 0.4463 1.2108 1.1004
No log 1.1930 68 1.4212 0.3866 1.4212 1.1922
No log 1.2281 70 1.4293 0.3729 1.4293 1.1955
No log 1.2632 72 1.2374 0.4878 1.2374 1.1124
No log 1.2982 74 1.1875 0.4762 1.1875 1.0897
No log 1.3333 76 1.1853 0.5271 1.1853 1.0887
No log 1.3684 78 1.1953 0.48 1.1953 1.0933
No log 1.4035 80 1.2872 0.4370 1.2872 1.1345
No log 1.4386 82 1.3333 0.4715 1.3333 1.1547
No log 1.4737 84 1.1796 0.5 1.1796 1.0861
No log 1.5088 86 1.1652 0.5000 1.1652 1.0794
No log 1.5439 88 1.6497 0.3566 1.6497 1.2844
No log 1.5789 90 1.6617 0.3566 1.6617 1.2891
No log 1.6140 92 1.2303 0.3697 1.2303 1.1092
No log 1.6491 94 1.1979 0.4068 1.1979 1.0945
No log 1.6842 96 1.2605 0.4590 1.2605 1.1227
No log 1.7193 98 1.6358 0.3759 1.6358 1.2790
No log 1.7544 100 1.8067 0.2727 1.8067 1.3441
No log 1.7895 102 1.5562 0.3759 1.5562 1.2475
No log 1.8246 104 1.4254 0.4122 1.4254 1.1939
No log 1.8596 106 1.4108 0.4242 1.4108 1.1878
No log 1.8947 108 1.8575 0.2273 1.8575 1.3629
No log 1.9298 110 2.5217 -0.1270 2.5217 1.5880
No log 1.9649 112 2.5406 -0.0938 2.5406 1.5939
No log 2.0 114 2.3179 -0.0606 2.3179 1.5225
No log 2.0351 116 1.6833 0.4060 1.6833 1.2974
No log 2.0702 118 1.1141 0.4538 1.1141 1.0555
No log 2.1053 120 1.1626 0.528 1.1626 1.0782
No log 2.1404 122 1.0705 0.5323 1.0705 1.0346
No log 2.1754 124 1.1163 0.4921 1.1163 1.0565
No log 2.2105 126 1.7252 0.2615 1.7252 1.3135
No log 2.2456 128 2.2553 -0.0157 2.2553 1.5018
No log 2.2807 130 2.2364 0.0 2.2364 1.4955
No log 2.3158 132 2.1352 0.0909 2.1352 1.4612
No log 2.3509 134 2.2332 0.0462 2.2332 1.4944
No log 2.3860 136 2.2389 0.0462 2.2389 1.4963
No log 2.4211 138 2.0119 0.0896 2.0119 1.4184
No log 2.4561 140 1.6270 0.3582 1.6270 1.2755
No log 2.4912 142 1.4379 0.4733 1.4379 1.1991
No log 2.5263 144 1.5382 0.3846 1.5382 1.2402
No log 2.5614 146 1.7133 0.2857 1.7133 1.3089
No log 2.5965 148 1.6132 0.3465 1.6132 1.2701
No log 2.6316 150 1.3372 0.5041 1.3372 1.1564
No log 2.6667 152 1.0640 0.5920 1.0640 1.0315
No log 2.7018 154 0.9552 0.5938 0.9552 0.9773
No log 2.7368 156 0.8923 0.6222 0.8923 0.9446
No log 2.7719 158 1.0511 0.6241 1.0511 1.0252
No log 2.8070 160 1.2616 0.5507 1.2616 1.1232
No log 2.8421 162 1.1366 0.5522 1.1366 1.0661
No log 2.8772 164 1.1134 0.5469 1.1134 1.0552
No log 2.9123 166 1.2481 0.5312 1.2481 1.1172
No log 2.9474 168 1.3701 0.4640 1.3701 1.1705
No log 2.9825 170 1.3445 0.4628 1.3445 1.1595
No log 3.0175 172 1.3169 0.2909 1.3169 1.1476
No log 3.0526 174 1.3122 0.3063 1.3122 1.1455
No log 3.0877 176 1.4021 0.4677 1.4021 1.1841
No log 3.1228 178 1.7002 0.3538 1.7002 1.3039
No log 3.1579 180 1.8821 0.1818 1.8821 1.3719
No log 3.1930 182 1.8352 0.2074 1.8352 1.3547
No log 3.2281 184 1.5086 0.3969 1.5086 1.2283
No log 3.2632 186 1.3713 0.4733 1.3713 1.1710
No log 3.2982 188 1.4483 0.5 1.4483 1.2035
No log 3.3333 190 1.3460 0.5191 1.3460 1.1602
No log 3.3684 192 1.1701 0.56 1.1701 1.0817
No log 3.4035 194 1.1809 0.375 1.1809 1.0867
No log 3.4386 196 1.1847 0.375 1.1847 1.0884
No log 3.4737 198 1.1184 0.3894 1.1184 1.0575
No log 3.5088 200 1.1001 0.4444 1.1001 1.0489
No log 3.5439 202 1.0347 0.4667 1.0347 1.0172
No log 3.5789 204 1.0003 0.5323 1.0003 1.0002
No log 3.6140 206 0.9810 0.5323 0.9810 0.9905
No log 3.6491 208 1.0987 0.5323 1.0987 1.0482
No log 3.6842 210 1.3324 0.4463 1.3324 1.1543
No log 3.7193 212 1.3820 0.4167 1.3820 1.1756
No log 3.7544 214 1.1999 0.4463 1.1999 1.0954
No log 3.7895 216 1.0285 0.5203 1.0285 1.0142
No log 3.8246 218 0.9575 0.5645 0.9575 0.9785
No log 3.8596 220 0.9674 0.5645 0.9674 0.9836
No log 3.8947 222 0.9883 0.5289 0.9883 0.9942
No log 3.9298 224 1.1069 0.4959 1.1069 1.0521
No log 3.9649 226 1.2620 0.5 1.2620 1.1234
No log 4.0 228 1.2518 0.5039 1.2518 1.1188
No log 4.0351 230 1.1492 0.512 1.1492 1.0720
No log 4.0702 232 1.0935 0.5161 1.0935 1.0457
No log 4.1053 234 1.1149 0.5161 1.1149 1.0559
No log 4.1404 236 1.2767 0.4921 1.2767 1.1299
No log 4.1754 238 1.3641 0.4688 1.3641 1.1679
No log 4.2105 240 1.2920 0.48 1.2920 1.1366
No log 4.2456 242 1.1385 0.4833 1.1385 1.0670
No log 4.2807 244 1.0951 0.4746 1.0951 1.0465
No log 4.3158 246 1.0445 0.5042 1.0445 1.0220
No log 4.3509 248 1.0634 0.4874 1.0634 1.0312
No log 4.3860 250 1.1231 0.5 1.1231 1.0597
No log 4.4211 252 1.2396 0.4921 1.2396 1.1134
No log 4.4561 254 1.1812 0.4921 1.1812 1.0868
No log 4.4912 256 1.1565 0.5197 1.1565 1.0754
No log 4.5263 258 1.2400 0.5156 1.2400 1.1136
No log 4.5614 260 1.4150 0.4394 1.4150 1.1895
No log 4.5965 262 1.4123 0.4580 1.4123 1.1884
No log 4.6316 264 1.2947 0.4715 1.2947 1.1379
No log 4.6667 266 1.2374 0.3826 1.2374 1.1124
No log 4.7018 268 1.2979 0.2545 1.2979 1.1392
No log 4.7368 270 1.3354 0.1852 1.3354 1.1556
No log 4.7719 272 1.3389 0.4274 1.3389 1.1571
No log 4.8070 274 1.3557 0.4839 1.3557 1.1644
No log 4.8421 276 1.3127 0.5354 1.3127 1.1457
No log 4.8772 278 1.2777 0.5354 1.2777 1.1303
No log 4.9123 280 1.2577 0.5354 1.2577 1.1215
No log 4.9474 282 1.2617 0.5354 1.2617 1.1233
No log 4.9825 284 1.3407 0.5197 1.3407 1.1579
No log 5.0175 286 1.3783 0.5039 1.3783 1.1740
No log 5.0526 288 1.3627 0.5079 1.3627 1.1673
No log 5.0877 290 1.2784 0.5354 1.2784 1.1307
No log 5.1228 292 1.2632 0.5354 1.2632 1.1239
No log 5.1579 294 1.3350 0.4885 1.3350 1.1554
No log 5.1930 296 1.3477 0.4769 1.3477 1.1609
No log 5.2281 298 1.3602 0.4769 1.3602 1.1663
No log 5.2632 300 1.3386 0.5156 1.3386 1.1570
No log 5.2982 302 1.3522 0.5116 1.3522 1.1628
No log 5.3333 304 1.3817 0.4769 1.3817 1.1755
No log 5.3684 306 1.2999 0.5156 1.2999 1.1401
No log 5.4035 308 1.1790 0.5538 1.1790 1.0858
No log 5.4386 310 1.2023 0.5538 1.2023 1.0965
No log 5.4737 312 1.2867 0.5231 1.2867 1.1343
No log 5.5088 314 1.2878 0.5231 1.2878 1.1348
No log 5.5439 316 1.2033 0.5538 1.2033 1.0969
No log 5.5789 318 1.1702 0.5581 1.1702 1.0818
No log 5.6140 320 1.1728 0.5538 1.1728 1.0829
No log 5.6491 322 1.2870 0.4848 1.2870 1.1345
No log 5.6842 324 1.2903 0.4848 1.2903 1.1359
No log 5.7193 326 1.1171 0.5581 1.1171 1.0569
No log 5.7544 328 0.9919 0.5397 0.9919 0.9959
No log 5.7895 330 1.0320 0.5397 1.0320 1.0159
No log 5.8246 332 1.1541 0.5197 1.1541 1.0743
No log 5.8596 334 1.2034 0.512 1.2034 1.0970
No log 5.8947 336 1.2129 0.512 1.2129 1.1013
No log 5.9298 338 1.1729 0.512 1.1729 1.0830
No log 5.9649 340 1.1640 0.5039 1.1640 1.0789
No log 6.0 342 1.0952 0.5116 1.0952 1.0465
No log 6.0351 344 1.1129 0.5038 1.1129 1.0549
No log 6.0702 346 1.1898 0.5038 1.1898 1.0908
No log 6.1053 348 1.2770 0.5038 1.2770 1.1300
No log 6.1404 350 1.4488 0.4296 1.4488 1.2036
No log 6.1754 352 1.5407 0.4179 1.5407 1.2412
No log 6.2105 354 1.6569 0.3852 1.6569 1.2872
No log 6.2456 356 1.4739 0.4511 1.4739 1.2141
No log 6.2807 358 1.3187 0.4697 1.3187 1.1484
No log 6.3158 360 1.2059 0.5303 1.2059 1.0981
No log 6.3509 362 1.1279 0.5344 1.1279 1.0620
No log 6.3860 364 1.1241 0.5303 1.1241 1.0603
No log 6.4211 366 1.2662 0.4885 1.2662 1.1253
No log 6.4561 368 1.5291 0.4148 1.5291 1.2366
No log 6.4912 370 1.5294 0.4148 1.5294 1.2367
No log 6.5263 372 1.2888 0.5 1.2888 1.1353
No log 6.5614 374 1.0720 0.5385 1.0720 1.0354
No log 6.5965 376 1.0610 0.5271 1.0610 1.0300
No log 6.6316 378 1.1525 0.5385 1.1525 1.0735
No log 6.6667 380 1.3214 0.4923 1.3214 1.1495
No log 6.7018 382 1.3484 0.4923 1.3484 1.1612
No log 6.7368 384 1.2580 0.4878 1.2580 1.1216
No log 6.7719 386 1.1936 0.5 1.1936 1.0925
No log 6.8070 388 1.1741 0.4961 1.1741 1.0836
No log 6.8421 390 1.3179 0.4885 1.3179 1.1480
No log 6.8772 392 1.3219 0.4885 1.3219 1.1497
No log 6.9123 394 1.1773 0.5303 1.1773 1.0850
No log 6.9474 396 1.0330 0.5303 1.0330 1.0163
No log 6.9825 398 1.0303 0.5303 1.0303 1.0151
No log 7.0175 400 1.1521 0.5303 1.1521 1.0734
No log 7.0526 402 1.3026 0.5152 1.3026 1.1413
No log 7.0877 404 1.2099 0.5191 1.2099 1.1000
No log 7.1228 406 1.1032 0.5271 1.1032 1.0503
No log 7.1579 408 1.0235 0.5669 1.0235 1.0117
No log 7.1930 410 1.0233 0.56 1.0233 1.0116
No log 7.2281 412 1.0289 0.5714 1.0289 1.0144
No log 7.2632 414 1.0172 0.5645 1.0172 1.0085
No log 7.2982 416 1.0290 0.5873 1.0290 1.0144
No log 7.3333 418 1.0866 0.5385 1.0866 1.0424
No log 7.3684 420 1.0691 0.5581 1.0691 1.0340
No log 7.4035 422 1.0363 0.5714 1.0363 1.0180
No log 7.4386 424 1.1161 0.5669 1.1161 1.0565
No log 7.4737 426 1.2269 0.5426 1.2269 1.1077
No log 7.5088 428 1.2084 0.5426 1.2084 1.0993
No log 7.5439 430 1.2109 0.5469 1.2109 1.1004
No log 7.5789 432 1.2153 0.5469 1.2153 1.1024
No log 7.6140 434 1.1695 0.5354 1.1695 1.0814
No log 7.6491 436 1.1471 0.5354 1.1471 1.0710
No log 7.6842 438 1.1712 0.5538 1.1712 1.0822
No log 7.7193 440 1.2001 0.5538 1.2001 1.0955
No log 7.7544 442 1.2057 0.5426 1.2057 1.0981
No log 7.7895 444 1.1790 0.5197 1.1790 1.0858
No log 7.8246 446 1.1972 0.5238 1.1972 1.0942
No log 7.8596 448 1.3122 0.5156 1.3122 1.1455
No log 7.8947 450 1.3331 0.5156 1.3331 1.1546
No log 7.9298 452 1.2395 0.5039 1.2395 1.1133
No log 7.9649 454 1.1199 0.4878 1.1199 1.0582
No log 8.0 456 1.0655 0.4918 1.0655 1.0322
No log 8.0351 458 1.0756 0.4839 1.0756 1.0371
No log 8.0702 460 1.1572 0.5312 1.1572 1.0757
No log 8.1053 462 1.2597 0.4961 1.2597 1.1224
No log 8.1404 464 1.3954 0.4961 1.3954 1.1813
No log 8.1754 466 1.4137 0.4688 1.4137 1.1890
No log 8.2105 468 1.3111 0.4961 1.3111 1.1450
No log 8.2456 470 1.2189 0.4960 1.2189 1.1040
No log 8.2807 472 1.2180 0.5 1.2180 1.1036
No log 8.3158 474 1.2515 0.5039 1.2515 1.1187
No log 8.3509 476 1.2435 0.512 1.2435 1.1151
No log 8.3860 478 1.2206 0.512 1.2206 1.1048
No log 8.4211 480 1.1859 0.5 1.1859 1.0890
No log 8.4561 482 1.1528 0.5124 1.1528 1.0737
No log 8.4912 484 1.1430 0.5124 1.1430 1.0691
No log 8.5263 486 1.1709 0.4715 1.1709 1.0821
No log 8.5614 488 1.2572 0.4961 1.2572 1.1212
No log 8.5965 490 1.2315 0.4961 1.2315 1.1097
No log 8.6316 492 1.1732 0.5344 1.1732 1.0831
No log 8.6667 494 1.1915 0.5344 1.1915 1.0916
No log 8.7018 496 1.2150 0.5231 1.2150 1.1023
No log 8.7368 498 1.1643 0.56 1.1643 1.0790
0.3755 8.7719 500 1.1624 0.5238 1.1624 1.0781
0.3755 8.8070 502 1.2043 0.5231 1.2043 1.0974
0.3755 8.8421 504 1.2328 0.5231 1.2328 1.1103
0.3755 8.8772 506 1.1866 0.5231 1.1866 1.0893
0.3755 8.9123 508 1.1318 0.5156 1.1318 1.0638
0.3755 8.9474 510 1.0878 0.56 1.0878 1.0430
0.3755 8.9825 512 1.1137 0.5203 1.1137 1.0553
0.3755 9.0175 514 1.1841 0.5556 1.1841 1.0882
0.3755 9.0526 516 1.2676 0.5231 1.2676 1.1259
0.3755 9.0877 518 1.2651 0.5231 1.2651 1.1248
0.3755 9.1228 520 1.2699 0.5231 1.2699 1.1269
0.3755 9.1579 522 1.2172 0.5161 1.2172 1.1033
0.3755 9.1930 524 1.2337 0.5161 1.2337 1.1107

Framework versions

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