ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k5_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: 1.0217
  • Qwk: 0.3705
  • Mse: 1.0217
  • Rmse: 1.0108

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 0.1111 2 4.6730 0.0010 4.6730 2.1617
No log 0.2222 4 2.6605 0.0159 2.6605 1.6311
No log 0.3333 6 2.0411 -0.0303 2.0411 1.4287
No log 0.4444 8 2.4235 -0.0229 2.4235 1.5567
No log 0.5556 10 2.0029 -0.0289 2.0029 1.4153
No log 0.6667 12 1.6008 -0.0313 1.6008 1.2652
No log 0.7778 14 1.4723 0.0203 1.4723 1.2134
No log 0.8889 16 1.4301 0.0291 1.4301 1.1958
No log 1.0 18 1.4615 0.0485 1.4615 1.2089
No log 1.1111 20 1.5237 0.0741 1.5237 1.2344
No log 1.2222 22 1.7009 0.1091 1.7009 1.3042
No log 1.3333 24 1.6337 0.1253 1.6337 1.2782
No log 1.4444 26 1.2859 0.1560 1.2859 1.1340
No log 1.5556 28 1.2808 0.1671 1.2808 1.1317
No log 1.6667 30 1.5004 0.1892 1.5004 1.2249
No log 1.7778 32 1.7429 0.0727 1.7429 1.3202
No log 1.8889 34 1.7479 0.0996 1.7479 1.3221
No log 2.0 36 1.5596 0.1169 1.5596 1.2488
No log 2.1111 38 1.3607 0.1016 1.3607 1.1665
No log 2.2222 40 1.2305 0.2054 1.2305 1.1093
No log 2.3333 42 1.1294 0.2223 1.1294 1.0627
No log 2.4444 44 1.1376 0.2268 1.1376 1.0666
No log 2.5556 46 1.2147 0.1601 1.2147 1.1021
No log 2.6667 48 1.5213 0.1196 1.5213 1.2334
No log 2.7778 50 1.9622 0.1360 1.9622 1.4008
No log 2.8889 52 2.1331 0.1184 2.1331 1.4605
No log 3.0 54 2.0671 0.1263 2.0671 1.4377
No log 3.1111 56 1.7847 0.1152 1.7847 1.3359
No log 3.2222 58 1.3835 0.2371 1.3835 1.1762
No log 3.3333 60 1.1761 0.1927 1.1761 1.0845
No log 3.4444 62 1.1478 0.2579 1.1478 1.0714
No log 3.5556 64 1.1493 0.2733 1.1493 1.0720
No log 3.6667 66 1.2363 0.2374 1.2363 1.1119
No log 3.7778 68 1.2999 0.2644 1.2999 1.1401
No log 3.8889 70 1.4305 0.2495 1.4305 1.1960
No log 4.0 72 1.6176 0.1828 1.6176 1.2718
No log 4.1111 74 1.8203 0.1408 1.8203 1.3492
No log 4.2222 76 1.5610 0.2070 1.5610 1.2494
No log 4.3333 78 1.3699 0.2876 1.3699 1.1704
No log 4.4444 80 1.4023 0.2181 1.4023 1.1842
No log 4.5556 82 1.4341 0.2454 1.4341 1.1975
No log 4.6667 84 1.3171 0.2459 1.3171 1.1476
No log 4.7778 86 1.1571 0.2062 1.1571 1.0757
No log 4.8889 88 1.1424 0.2199 1.1424 1.0688
No log 5.0 90 1.2011 0.3011 1.2011 1.0959
No log 5.1111 92 1.4289 0.2650 1.4289 1.1954
No log 5.2222 94 1.5132 0.2702 1.5132 1.2301
No log 5.3333 96 1.4693 0.2903 1.4693 1.2121
No log 5.4444 98 1.2615 0.2750 1.2615 1.1232
No log 5.5556 100 1.1117 0.2265 1.1117 1.0544
No log 5.6667 102 1.1340 0.2395 1.1340 1.0649
No log 5.7778 104 1.2995 0.2459 1.2995 1.1400
No log 5.8889 106 1.6454 0.2392 1.6454 1.2827
No log 6.0 108 1.9134 0.1225 1.9134 1.3833
No log 6.1111 110 2.2268 0.1058 2.2268 1.4923
No log 6.2222 112 1.8742 0.1225 1.8742 1.3690
No log 6.3333 114 1.3423 0.2140 1.3423 1.1586
No log 6.4444 116 1.1898 0.2085 1.1898 1.0908
No log 6.5556 118 1.1190 0.2785 1.1190 1.0578
No log 6.6667 120 1.0870 0.2369 1.0870 1.0426
No log 6.7778 122 1.0575 0.2471 1.0575 1.0284
No log 6.8889 124 1.0437 0.2355 1.0437 1.0216
No log 7.0 126 1.0472 0.2509 1.0472 1.0233
No log 7.1111 128 1.0552 0.2965 1.0552 1.0272
No log 7.2222 130 1.1036 0.3036 1.1036 1.0505
No log 7.3333 132 1.1505 0.2939 1.1505 1.0726
No log 7.4444 134 1.1336 0.2939 1.1336 1.0647
No log 7.5556 136 1.0525 0.3674 1.0526 1.0259
No log 7.6667 138 1.0821 0.3734 1.0821 1.0402
No log 7.7778 140 1.0078 0.2793 1.0078 1.0039
No log 7.8889 142 1.2211 0.2690 1.2211 1.1050
No log 8.0 144 1.9269 0.1584 1.9269 1.3881
No log 8.1111 146 2.2621 0.1774 2.2621 1.5040
No log 8.2222 148 2.0336 0.2127 2.0336 1.4260
No log 8.3333 150 1.4482 0.2119 1.4482 1.2034
No log 8.4444 152 1.0374 0.3516 1.0374 1.0186
No log 8.5556 154 1.0575 0.2946 1.0575 1.0284
No log 8.6667 156 1.0837 0.3108 1.0837 1.0410
No log 8.7778 158 1.2308 0.2825 1.2308 1.1094
No log 8.8889 160 1.4438 0.2733 1.4438 1.2016
No log 9.0 162 1.5001 0.2516 1.5001 1.2248
No log 9.1111 164 1.3264 0.2191 1.3264 1.1517
No log 9.2222 166 1.0865 0.3433 1.0865 1.0423
No log 9.3333 168 1.0477 0.2792 1.0477 1.0236
No log 9.4444 170 1.0323 0.2503 1.0323 1.0160
No log 9.5556 172 1.0139 0.3527 1.0139 1.0069
No log 9.6667 174 1.0974 0.3759 1.0974 1.0476
No log 9.7778 176 1.1556 0.3887 1.1556 1.0750
No log 9.8889 178 1.1829 0.3679 1.1829 1.0876
No log 10.0 180 1.1425 0.3197 1.1425 1.0689
No log 10.1111 182 1.0441 0.3476 1.0441 1.0218
No log 10.2222 184 0.9909 0.3301 0.9909 0.9955
No log 10.3333 186 0.9878 0.3541 0.9878 0.9939
No log 10.4444 188 1.0096 0.3529 1.0096 1.0048
No log 10.5556 190 1.0215 0.3433 1.0215 1.0107
No log 10.6667 192 1.0321 0.3572 1.0321 1.0159
No log 10.7778 194 1.0225 0.3637 1.0225 1.0112
No log 10.8889 196 1.0336 0.3355 1.0336 1.0167
No log 11.0 198 1.1204 0.3100 1.1204 1.0585
No log 11.1111 200 1.2223 0.3323 1.2223 1.1056
No log 11.2222 202 1.1844 0.3050 1.1844 1.0883
No log 11.3333 204 1.0486 0.2963 1.0486 1.0240
No log 11.4444 206 0.9936 0.3500 0.9936 0.9968
No log 11.5556 208 0.9912 0.2947 0.9912 0.9956
No log 11.6667 210 1.0223 0.3584 1.0223 1.0111
No log 11.7778 212 1.0183 0.4030 1.0183 1.0091
No log 11.8889 214 0.9840 0.4476 0.9840 0.9920
No log 12.0 216 0.9337 0.4007 0.9337 0.9663
No log 12.1111 218 0.8898 0.4830 0.8898 0.9433
No log 12.2222 220 0.8558 0.4910 0.8558 0.9251
No log 12.3333 222 0.8796 0.4694 0.8796 0.9379
No log 12.4444 224 0.8932 0.4694 0.8932 0.9451
No log 12.5556 226 0.8996 0.4369 0.8996 0.9485
No log 12.6667 228 0.8574 0.4257 0.8574 0.9260
No log 12.7778 230 0.8777 0.3762 0.8777 0.9369
No log 12.8889 232 0.8920 0.3762 0.8920 0.9445
No log 13.0 234 0.9084 0.3230 0.9084 0.9531
No log 13.1111 236 0.9413 0.3803 0.9413 0.9702
No log 13.2222 238 1.0424 0.4431 1.0424 1.0210
No log 13.3333 240 1.4491 0.3405 1.4491 1.2038
No log 13.4444 242 1.7432 0.2479 1.7432 1.3203
No log 13.5556 244 1.5354 0.3956 1.5354 1.2391
No log 13.6667 246 1.1372 0.4376 1.1372 1.0664
No log 13.7778 248 0.9438 0.4023 0.9438 0.9715
No log 13.8889 250 0.9405 0.4575 0.9405 0.9698
No log 14.0 252 0.9265 0.4603 0.9265 0.9626
No log 14.1111 254 0.8943 0.3974 0.8943 0.9457
No log 14.2222 256 0.9662 0.4120 0.9662 0.9829
No log 14.3333 258 1.0609 0.4581 1.0609 1.0300
No log 14.4444 260 1.0540 0.4347 1.0540 1.0267
No log 14.5556 262 0.9473 0.3859 0.9473 0.9733
No log 14.6667 264 0.9235 0.4160 0.9235 0.9610
No log 14.7778 266 0.9555 0.4636 0.9555 0.9775
No log 14.8889 268 0.9646 0.4798 0.9646 0.9822
No log 15.0 270 0.9709 0.4626 0.9709 0.9853
No log 15.1111 272 0.9796 0.4483 0.9796 0.9897
No log 15.2222 274 0.9559 0.4667 0.9559 0.9777
No log 15.3333 276 0.9269 0.4590 0.9269 0.9628
No log 15.4444 278 0.8971 0.4197 0.8971 0.9471
No log 15.5556 280 0.8911 0.3866 0.8911 0.9440
No log 15.6667 282 0.9067 0.4367 0.9067 0.9522
No log 15.7778 284 0.9039 0.3769 0.9039 0.9508
No log 15.8889 286 0.8841 0.3616 0.8841 0.9403
No log 16.0 288 0.8678 0.3933 0.8678 0.9316
No log 16.1111 290 0.8614 0.3705 0.8614 0.9281
No log 16.2222 292 0.8679 0.3991 0.8679 0.9316
No log 16.3333 294 0.8807 0.3671 0.8807 0.9385
No log 16.4444 296 0.9256 0.4082 0.9256 0.9621
No log 16.5556 298 1.0114 0.4259 1.0114 1.0057
No log 16.6667 300 1.0490 0.3363 1.0490 1.0242
No log 16.7778 302 0.9974 0.4645 0.9974 0.9987
No log 16.8889 304 0.9594 0.4406 0.9594 0.9795
No log 17.0 306 0.9798 0.4347 0.9798 0.9899
No log 17.1111 308 0.9343 0.4372 0.9343 0.9666
No log 17.2222 310 0.9156 0.4045 0.9156 0.9569
No log 17.3333 312 0.9340 0.4459 0.9340 0.9665
No log 17.4444 314 0.9482 0.4663 0.9482 0.9738
No log 17.5556 316 1.0075 0.3976 1.0075 1.0038
No log 17.6667 318 1.0220 0.3976 1.0220 1.0109
No log 17.7778 320 0.9917 0.3850 0.9917 0.9958
No log 17.8889 322 0.9705 0.3625 0.9705 0.9851
No log 18.0 324 0.9887 0.3891 0.9887 0.9943
No log 18.1111 326 0.9296 0.3390 0.9296 0.9642
No log 18.2222 328 0.9125 0.3723 0.9125 0.9552
No log 18.3333 330 0.9193 0.3678 0.9193 0.9588
No log 18.4444 332 0.9021 0.4004 0.9021 0.9498
No log 18.5556 334 0.8876 0.3821 0.8876 0.9421
No log 18.6667 336 0.8847 0.3681 0.8847 0.9406
No log 18.7778 338 0.8969 0.4218 0.8969 0.9470
No log 18.8889 340 0.9083 0.4681 0.9083 0.9530
No log 19.0 342 0.8849 0.4822 0.8849 0.9407
No log 19.1111 344 0.8794 0.4396 0.8794 0.9377
No log 19.2222 346 0.8982 0.3859 0.8982 0.9477
No log 19.3333 348 0.8872 0.4176 0.8872 0.9419
No log 19.4444 350 0.8728 0.4045 0.8728 0.9342
No log 19.5556 352 0.8814 0.4141 0.8814 0.9388
No log 19.6667 354 0.9143 0.3868 0.9143 0.9562
No log 19.7778 356 0.9007 0.4381 0.9007 0.9491
No log 19.8889 358 0.8859 0.3885 0.8859 0.9412
No log 20.0 360 0.8867 0.3885 0.8867 0.9417
No log 20.1111 362 0.8910 0.4277 0.8910 0.9439
No log 20.2222 364 0.8787 0.4418 0.8787 0.9374
No log 20.3333 366 0.8633 0.4079 0.8633 0.9291
No log 20.4444 368 0.8672 0.4598 0.8672 0.9312
No log 20.5556 370 0.8915 0.4435 0.8915 0.9442
No log 20.6667 372 0.8945 0.4212 0.8945 0.9458
No log 20.7778 374 0.8921 0.4624 0.8921 0.9445
No log 20.8889 376 0.8885 0.4180 0.8885 0.9426
No log 21.0 378 0.9303 0.3744 0.9303 0.9645
No log 21.1111 380 0.9272 0.4140 0.9272 0.9629
No log 21.2222 382 0.9300 0.3615 0.9300 0.9644
No log 21.3333 384 0.9903 0.4212 0.9903 0.9952
No log 21.4444 386 1.0626 0.3843 1.0626 1.0308
No log 21.5556 388 1.0197 0.4155 1.0197 1.0098
No log 21.6667 390 0.9260 0.3194 0.9260 0.9623
No log 21.7778 392 0.9662 0.5326 0.9662 0.9830
No log 21.8889 394 1.0127 0.4337 1.0127 1.0064
No log 22.0 396 0.9951 0.4337 0.9951 0.9975
No log 22.1111 398 0.9305 0.4166 0.9305 0.9646
No log 22.2222 400 0.8663 0.3925 0.8663 0.9308
No log 22.3333 402 1.0286 0.4698 1.0286 1.0142
No log 22.4444 404 1.3997 0.3295 1.3997 1.1831
No log 22.5556 406 1.5548 0.3084 1.5548 1.2469
No log 22.6667 408 1.4292 0.3210 1.4292 1.1955
No log 22.7778 410 1.1770 0.4461 1.1770 1.0849
No log 22.8889 412 0.9182 0.4212 0.9182 0.9582
No log 23.0 414 0.8435 0.4282 0.8435 0.9184
No log 23.1111 416 0.8946 0.5080 0.8946 0.9458
No log 23.2222 418 0.8981 0.4631 0.8981 0.9477
No log 23.3333 420 0.8423 0.3896 0.8423 0.9177
No log 23.4444 422 0.8216 0.5010 0.8216 0.9064
No log 23.5556 424 0.9630 0.4283 0.9630 0.9813
No log 23.6667 426 1.1464 0.4539 1.1464 1.0707
No log 23.7778 428 1.1684 0.4330 1.1684 1.0809
No log 23.8889 430 1.0426 0.4403 1.0426 1.0211
No log 24.0 432 0.9256 0.4191 0.9256 0.9621
No log 24.1111 434 0.8632 0.4155 0.8632 0.9291
No log 24.2222 436 0.8431 0.4308 0.8431 0.9182
No log 24.3333 438 0.8432 0.4175 0.8432 0.9183
No log 24.4444 440 0.8635 0.4308 0.8635 0.9292
No log 24.5556 442 0.9019 0.3985 0.9019 0.9497
No log 24.6667 444 0.9141 0.3942 0.9141 0.9561
No log 24.7778 446 0.9073 0.4197 0.9073 0.9525
No log 24.8889 448 0.8984 0.4118 0.8984 0.9478
No log 25.0 450 0.8942 0.3974 0.8942 0.9456
No log 25.1111 452 0.9011 0.3965 0.9011 0.9493
No log 25.2222 454 0.9335 0.4042 0.9335 0.9662
No log 25.3333 456 0.9503 0.4042 0.9503 0.9748
No log 25.4444 458 0.9707 0.3759 0.9707 0.9853
No log 25.5556 460 1.0442 0.4101 1.0442 1.0219
No log 25.6667 462 1.1025 0.3449 1.1025 1.0500
No log 25.7778 464 1.0870 0.3744 1.0870 1.0426
No log 25.8889 466 1.0175 0.3790 1.0175 1.0087
No log 26.0 468 0.9382 0.4175 0.9382 0.9686
No log 26.1111 470 0.8908 0.4118 0.8908 0.9438
No log 26.2222 472 0.8658 0.3700 0.8658 0.9305
No log 26.3333 474 0.8663 0.3564 0.8663 0.9308
No log 26.4444 476 0.8578 0.3957 0.8578 0.9262
No log 26.5556 478 0.8367 0.4583 0.8367 0.9147
No log 26.6667 480 0.8703 0.4774 0.8703 0.9329
No log 26.7778 482 0.9543 0.4497 0.9543 0.9769
No log 26.8889 484 1.0527 0.4101 1.0527 1.0260
No log 27.0 486 1.0458 0.4101 1.0458 1.0226
No log 27.1111 488 0.9797 0.3846 0.9797 0.9898
No log 27.2222 490 0.8937 0.4406 0.8937 0.9454
No log 27.3333 492 0.8923 0.4221 0.8923 0.9446
No log 27.4444 494 0.9035 0.3478 0.9035 0.9505
No log 27.5556 496 0.9138 0.3478 0.9138 0.9559
No log 27.6667 498 0.9158 0.3478 0.9158 0.9570
0.3136 27.7778 500 0.9051 0.4075 0.9051 0.9514
0.3136 27.8889 502 0.9040 0.3762 0.9040 0.9508
0.3136 28.0 504 0.9117 0.3855 0.9117 0.9548
0.3136 28.1111 506 0.9287 0.3657 0.9287 0.9637
0.3136 28.2222 508 0.9236 0.4212 0.9236 0.9610
0.3136 28.3333 510 0.8997 0.4042 0.8997 0.9485
0.3136 28.4444 512 0.8898 0.4696 0.8898 0.9433
0.3136 28.5556 514 0.8761 0.4826 0.8761 0.9360
0.3136 28.6667 516 0.8708 0.4220 0.8708 0.9332
0.3136 28.7778 518 0.8676 0.3927 0.8676 0.9314
0.3136 28.8889 520 0.8735 0.4504 0.8735 0.9346
0.3136 29.0 522 0.8735 0.4401 0.8735 0.9346
0.3136 29.1111 524 0.8772 0.4397 0.8772 0.9366
0.3136 29.2222 526 0.8921 0.4626 0.8921 0.9445
0.3136 29.3333 528 0.8984 0.4197 0.8984 0.9478
0.3136 29.4444 530 0.8984 0.4294 0.8984 0.9478
0.3136 29.5556 532 0.9196 0.3657 0.9196 0.9590
0.3136 29.6667 534 0.9891 0.3106 0.9891 0.9946
0.3136 29.7778 536 1.0508 0.2734 1.0508 1.0251
0.3136 29.8889 538 1.0725 0.2644 1.0725 1.0356
0.3136 30.0 540 1.0217 0.3705 1.0217 1.0108

Framework versions

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