ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k18_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: 1.6554
  • Qwk: 0.3407
  • Mse: 1.6554
  • Rmse: 1.2866

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 0.0235 2 6.7639 0.0242 6.7639 2.6007
No log 0.0471 4 4.3993 0.1074 4.3993 2.0974
No log 0.0706 6 3.7776 0.0 3.7776 1.9436
No log 0.0941 8 2.6710 0.0645 2.6710 1.6343
No log 0.1176 10 2.1941 0.0979 2.1941 1.4813
No log 0.1412 12 2.0863 0.1875 2.0863 1.4444
No log 0.1647 14 1.9030 0.2034 1.9030 1.3795
No log 0.1882 16 1.6838 0.1905 1.6838 1.2976
No log 0.2118 18 1.6188 0.1905 1.6188 1.2723
No log 0.2353 20 1.7015 0.1538 1.7015 1.3044
No log 0.2588 22 1.7806 0.0962 1.7806 1.3344
No log 0.2824 24 1.6662 0.1165 1.6662 1.2908
No log 0.3059 26 1.5738 0.1538 1.5738 1.2545
No log 0.3294 28 1.5226 0.2523 1.5226 1.2340
No log 0.3529 30 1.5857 0.2857 1.5857 1.2593
No log 0.3765 32 1.6401 0.2857 1.6401 1.2807
No log 0.4 34 1.6632 0.2679 1.6632 1.2897
No log 0.4235 36 1.5505 0.1524 1.5505 1.2452
No log 0.4471 38 1.5599 0.1333 1.5599 1.2490
No log 0.4706 40 1.5835 0.1346 1.5835 1.2584
No log 0.4941 42 1.5299 0.1698 1.5299 1.2369
No log 0.5176 44 1.5106 0.2037 1.5106 1.2290
No log 0.5412 46 1.4921 0.2037 1.4921 1.2215
No log 0.5647 48 1.5256 0.2202 1.5256 1.2351
No log 0.5882 50 1.4920 0.2202 1.4920 1.2215
No log 0.6118 52 1.5191 0.2364 1.5191 1.2325
No log 0.6353 54 1.5204 0.2703 1.5204 1.2330
No log 0.6588 56 1.6519 0.2807 1.6519 1.2853
No log 0.6824 58 1.6284 0.2957 1.6284 1.2761
No log 0.7059 60 1.4659 0.2385 1.4659 1.2107
No log 0.7294 62 1.5252 0.2385 1.5252 1.2350
No log 0.7529 64 1.6090 0.1852 1.6090 1.2685
No log 0.7765 66 1.6520 0.2523 1.6520 1.2853
No log 0.8 68 1.5172 0.3103 1.5172 1.2317
No log 0.8235 70 1.4500 0.3967 1.4500 1.2041
No log 0.8471 72 1.4402 0.4228 1.4402 1.2001
No log 0.8706 74 1.4248 0.4590 1.4248 1.1936
No log 0.8941 76 1.5604 0.2903 1.5604 1.2492
No log 0.9176 78 1.7363 0.2879 1.7363 1.3177
No log 0.9412 80 1.6933 0.3259 1.6933 1.3013
No log 0.9647 82 1.5574 0.2901 1.5574 1.2480
No log 0.9882 84 1.5435 0.2857 1.5435 1.2424
No log 1.0118 86 1.5829 0.3030 1.5829 1.2581
No log 1.0353 88 1.5854 0.3485 1.5854 1.2591
No log 1.0588 90 1.5977 0.3308 1.5977 1.2640
No log 1.0824 92 1.6683 0.3284 1.6683 1.2916
No log 1.1059 94 1.7043 0.2687 1.7043 1.3055
No log 1.1294 96 1.7026 0.2031 1.7026 1.3048
No log 1.1529 98 1.6868 0.3284 1.6868 1.2988
No log 1.1765 100 1.7228 0.3382 1.7228 1.3126
No log 1.2 102 1.8033 0.2519 1.8033 1.3429
No log 1.2235 104 1.9835 0.3088 1.9835 1.4084
No log 1.2471 106 1.9702 0.3088 1.9702 1.4037
No log 1.2706 108 1.7492 0.2171 1.7492 1.3226
No log 1.2941 110 1.6645 0.2353 1.6645 1.2902
No log 1.3176 112 1.6180 0.3016 1.6180 1.2720
No log 1.3412 114 1.6635 0.3382 1.6635 1.2897
No log 1.3647 116 1.8017 0.2774 1.8017 1.3423
No log 1.3882 118 1.8369 0.2519 1.8369 1.3553
No log 1.4118 120 1.7275 0.3359 1.7275 1.3144
No log 1.4353 122 1.7008 0.3407 1.7008 1.3041
No log 1.4588 124 1.7958 0.2794 1.7958 1.3401
No log 1.4824 126 1.8054 0.2576 1.8054 1.3436
No log 1.5059 128 1.7421 0.2326 1.7421 1.3199
No log 1.5294 130 1.7937 0.2985 1.7937 1.3393
No log 1.5529 132 1.9416 0.2695 1.9416 1.3934
No log 1.5765 134 2.0072 0.2695 2.0072 1.4167
No log 1.6 136 1.8837 0.3121 1.8837 1.3725
No log 1.6235 138 1.9858 0.2270 1.9858 1.4092
No log 1.6471 140 1.9926 0.2394 1.9926 1.4116
No log 1.6706 142 1.7886 0.3309 1.7886 1.3374
No log 1.6941 144 1.6845 0.3478 1.6845 1.2979
No log 1.7176 146 1.7799 0.3309 1.7799 1.3341
No log 1.7412 148 1.8521 0.3188 1.8521 1.3609
No log 1.7647 150 1.9159 0.2899 1.9159 1.3842
No log 1.7882 152 1.8382 0.3111 1.8382 1.3558
No log 1.8118 154 1.7202 0.2748 1.7202 1.3115
No log 1.8353 156 1.6054 0.3360 1.6054 1.2670
No log 1.8588 158 1.5186 0.352 1.5186 1.2323
No log 1.8824 160 1.5498 0.3704 1.5498 1.2449
No log 1.9059 162 1.7171 0.3358 1.7171 1.3104
No log 1.9294 164 1.8601 0.2734 1.8601 1.3639
No log 1.9529 166 1.9642 0.2446 1.9642 1.4015
No log 1.9765 168 1.9749 0.2446 1.9749 1.4053
No log 2.0 170 1.8440 0.3043 1.8440 1.3579
No log 2.0235 172 1.8399 0.3043 1.8399 1.3564
No log 2.0471 174 2.0909 0.1857 2.0909 1.4460
No log 2.0706 176 2.1531 0.1702 2.1531 1.4674
No log 2.0941 178 2.0037 0.2128 2.0037 1.4155
No log 2.1176 180 1.9725 0.2553 1.9725 1.4045
No log 2.1412 182 1.8122 0.3380 1.8122 1.3462
No log 2.1647 184 1.6727 0.3212 1.6727 1.2933
No log 2.1882 186 1.5278 0.3676 1.5278 1.2361
No log 2.2118 188 1.4734 0.4060 1.4734 1.2138
No log 2.2353 190 1.6826 0.3478 1.6826 1.2972
No log 2.2588 192 2.1595 0.1806 2.1595 1.4695
No log 2.2824 194 2.2219 0.1806 2.2219 1.4906
No log 2.3059 196 1.9518 0.3066 1.9518 1.3971
No log 2.3294 198 1.6083 0.3459 1.6083 1.2682
No log 2.3529 200 1.5219 0.3252 1.5219 1.2336
No log 2.3765 202 1.5611 0.3150 1.5611 1.2495
No log 2.4 204 1.6527 0.3231 1.6527 1.2856
No log 2.4235 206 1.8407 0.3485 1.8407 1.3567
No log 2.4471 208 2.0006 0.2748 2.0006 1.4144
No log 2.4706 210 1.9620 0.2923 1.9620 1.4007
No log 2.4941 212 1.7331 0.3485 1.7331 1.3165
No log 2.5176 214 1.5127 0.384 1.5127 1.2299
No log 2.5412 216 1.4825 0.384 1.4825 1.2176
No log 2.5647 218 1.5899 0.3876 1.5899 1.2609
No log 2.5882 220 1.8909 0.2920 1.8909 1.3751
No log 2.6118 222 2.0469 0.2590 2.0469 1.4307
No log 2.6353 224 2.0438 0.2590 2.0438 1.4296
No log 2.6588 226 1.9703 0.2590 1.9703 1.4037
No log 2.6824 228 1.9786 0.2590 1.9786 1.4066
No log 2.7059 230 1.7611 0.3111 1.7611 1.3271
No log 2.7294 232 1.6148 0.3664 1.6148 1.2707
No log 2.7529 234 1.5673 0.3438 1.5673 1.2519
No log 2.7765 236 1.5906 0.3651 1.5906 1.2612
No log 2.8 238 1.6316 0.3101 1.6316 1.2773
No log 2.8235 240 1.7738 0.3158 1.7738 1.3318
No log 2.8471 242 1.9933 0.2774 1.9933 1.4118
No log 2.8706 244 2.0029 0.2899 2.0029 1.4152
No log 2.8941 246 1.8535 0.2920 1.8535 1.3614
No log 2.9176 248 1.6775 0.3504 1.6775 1.2952
No log 2.9412 250 1.6123 0.3676 1.6123 1.2698
No log 2.9647 252 1.7519 0.3143 1.7519 1.3236
No log 2.9882 254 1.9578 0.2899 1.9578 1.3992
No log 3.0118 256 2.1277 0.2411 2.1277 1.4587
No log 3.0353 258 1.9359 0.3066 1.9359 1.3914
No log 3.0588 260 1.5879 0.3780 1.5879 1.2601
No log 3.0824 262 1.4521 0.3590 1.4521 1.2050
No log 3.1059 264 1.4623 0.3333 1.4623 1.2093
No log 3.1294 266 1.5233 0.3802 1.5233 1.2342
No log 3.1529 268 1.7169 0.3101 1.7169 1.3103
No log 3.1765 270 2.0474 0.2609 2.0474 1.4309
No log 3.2 272 2.2200 0.2254 2.2200 1.4900
No log 3.2235 274 2.1399 0.2270 2.1399 1.4628
No log 3.2471 276 2.0179 0.2628 2.0179 1.4205
No log 3.2706 278 1.9029 0.2571 1.9029 1.3795
No log 3.2941 280 1.8716 0.2571 1.8716 1.3681
No log 3.3176 282 1.9814 0.2734 1.9814 1.4076
No log 3.3412 284 2.0899 0.2695 2.0899 1.4456
No log 3.3647 286 1.9649 0.2609 1.9649 1.4018
No log 3.3882 288 1.7232 0.3158 1.7232 1.3127
No log 3.4118 290 1.5342 0.4 1.5342 1.2386
No log 3.4353 292 1.5189 0.4062 1.5189 1.2324
No log 3.4588 294 1.5364 0.3817 1.5364 1.2395
No log 3.4824 296 1.6101 0.3676 1.6101 1.2689
No log 3.5059 298 1.6917 0.2920 1.6917 1.3007
No log 3.5294 300 1.6771 0.3407 1.6771 1.2950
No log 3.5529 302 1.6882 0.3759 1.6882 1.2993
No log 3.5765 304 1.6241 0.3759 1.6241 1.2744
No log 3.6 306 1.5840 0.3881 1.5840 1.2586
No log 3.6235 308 1.5995 0.3704 1.5995 1.2647
No log 3.6471 310 1.5998 0.3704 1.5998 1.2648
No log 3.6706 312 1.7748 0.3043 1.7748 1.3322
No log 3.6941 314 2.1032 0.2128 2.1032 1.4502
No log 3.7176 316 2.1839 0.2113 2.1839 1.4778
No log 3.7412 318 1.9167 0.2920 1.9167 1.3845
No log 3.7647 320 1.5195 0.3704 1.5195 1.2327
No log 3.7882 322 1.2465 0.4923 1.2465 1.1165
No log 3.8118 324 1.1894 0.4839 1.1894 1.0906
No log 3.8353 326 1.2321 0.496 1.2321 1.1100
No log 3.8588 328 1.3843 0.4496 1.3843 1.1766
No log 3.8824 330 1.6472 0.3582 1.6472 1.2834
No log 3.9059 332 1.7915 0.3088 1.7915 1.3385
No log 3.9294 334 1.8024 0.3088 1.8024 1.3426
No log 3.9529 336 1.6864 0.3259 1.6864 1.2986
No log 3.9765 338 1.5096 0.3881 1.5096 1.2287
No log 4.0 340 1.3273 0.4194 1.3273 1.1521
No log 4.0235 342 1.2927 0.4754 1.2927 1.1370
No log 4.0471 344 1.3180 0.4463 1.3180 1.1480
No log 4.0706 346 1.4058 0.4032 1.4058 1.1857
No log 4.0941 348 1.5580 0.3664 1.5580 1.2482
No log 4.1176 350 1.7506 0.3259 1.7506 1.3231
No log 4.1412 352 1.8108 0.3259 1.8108 1.3457
No log 4.1647 354 1.7590 0.3259 1.7590 1.3263
No log 4.1882 356 1.5910 0.3852 1.5910 1.2613
No log 4.2118 358 1.5084 0.4265 1.5084 1.2282
No log 4.2353 360 1.5543 0.4265 1.5543 1.2467
No log 4.2588 362 1.7218 0.3382 1.7218 1.3122
No log 4.2824 364 2.0216 0.2628 2.0216 1.4218
No log 4.3059 366 2.1596 0.1884 2.1596 1.4696
No log 4.3294 368 2.0750 0.2353 2.0750 1.4405
No log 4.3529 370 1.7197 0.3704 1.7197 1.3114
No log 4.3765 372 1.4025 0.4091 1.4025 1.1843
No log 4.4 374 1.3256 0.4409 1.3256 1.1513
No log 4.4235 376 1.3571 0.4286 1.3571 1.1650
No log 4.4471 378 1.4326 0.4211 1.4326 1.1969
No log 4.4706 380 1.5561 0.3556 1.5561 1.2474
No log 4.4941 382 1.6401 0.3259 1.6401 1.2806
No log 4.5176 384 1.5490 0.3382 1.5490 1.2446
No log 4.5412 386 1.4868 0.3824 1.4868 1.2194
No log 4.5647 388 1.5929 0.3259 1.5929 1.2621
No log 4.5882 390 1.8636 0.3088 1.8636 1.3651
No log 4.6118 392 1.9299 0.2878 1.9299 1.3892
No log 4.6353 394 1.8029 0.2920 1.8029 1.3427
No log 4.6588 396 1.6960 0.2920 1.6960 1.3023
No log 4.6824 398 1.5678 0.3259 1.5678 1.2521
No log 4.7059 400 1.4990 0.4265 1.4990 1.2243
No log 4.7294 402 1.4548 0.4328 1.4548 1.2061
No log 4.7529 404 1.5374 0.4265 1.5374 1.2399
No log 4.7765 406 1.6780 0.2920 1.6780 1.2954
No log 4.8 408 1.7603 0.2920 1.7603 1.3268
No log 4.8235 410 1.6814 0.3088 1.6814 1.2967
No log 4.8471 412 1.5929 0.3759 1.5929 1.2621
No log 4.8706 414 1.5692 0.3759 1.5692 1.2527
No log 4.8941 416 1.6749 0.3212 1.6749 1.2942
No log 4.9176 418 1.7405 0.3333 1.7405 1.3193
No log 4.9412 420 1.7080 0.3504 1.7080 1.3069
No log 4.9647 422 1.6880 0.3504 1.6880 1.2992
No log 4.9882 424 1.7155 0.3382 1.7155 1.3098
No log 5.0118 426 1.7031 0.3382 1.7031 1.3050
No log 5.0353 428 1.8265 0.3022 1.8265 1.3515
No log 5.0588 430 1.8110 0.3022 1.8110 1.3457
No log 5.0824 432 1.6594 0.3556 1.6594 1.2882
No log 5.1059 434 1.5113 0.4211 1.5113 1.2293
No log 5.1294 436 1.3946 0.3750 1.3946 1.1809
No log 5.1529 438 1.4368 0.4186 1.4368 1.1987
No log 5.1765 440 1.6457 0.3556 1.6457 1.2829
No log 5.2 442 1.8795 0.2899 1.8795 1.3709
No log 5.2235 444 2.0894 0.2590 2.0894 1.4455
No log 5.2471 446 2.0391 0.2590 2.0391 1.4280
No log 5.2706 448 1.8321 0.2920 1.8321 1.3536
No log 5.2941 450 1.8018 0.2920 1.8018 1.3423
No log 5.3176 452 1.6978 0.3582 1.6978 1.3030
No log 5.3412 454 1.6481 0.3459 1.6481 1.2838
No log 5.3647 456 1.6012 0.4 1.6012 1.2654
No log 5.3882 458 1.6584 0.3788 1.6584 1.2878
No log 5.4118 460 1.7362 0.3259 1.7362 1.3176
No log 5.4353 462 1.8704 0.2920 1.8704 1.3676
No log 5.4588 464 1.8779 0.2899 1.8779 1.3704
No log 5.4824 466 1.7196 0.3235 1.7196 1.3113
No log 5.5059 468 1.6011 0.3704 1.6011 1.2653
No log 5.5294 470 1.6267 0.3529 1.6267 1.2754
No log 5.5529 472 1.7479 0.2920 1.7479 1.3221
No log 5.5765 474 1.8088 0.2920 1.8088 1.3449
No log 5.6 476 1.8721 0.2920 1.8721 1.3683
No log 5.6235 478 1.7942 0.2920 1.7942 1.3395
No log 5.6471 480 1.6027 0.4122 1.6027 1.2660
No log 5.6706 482 1.4474 0.4252 1.4474 1.2031
No log 5.6941 484 1.4092 0.4531 1.4092 1.1871
No log 5.7176 486 1.4679 0.4328 1.4679 1.2116
No log 5.7412 488 1.6654 0.3529 1.6654 1.2905
No log 5.7647 490 1.9103 0.2734 1.9103 1.3821
No log 5.7882 492 2.0428 0.2411 2.0428 1.4293
No log 5.8118 494 1.9643 0.2714 1.9643 1.4015
No log 5.8353 496 1.7270 0.3382 1.7270 1.3142
No log 5.8588 498 1.6239 0.3582 1.6239 1.2743
0.4106 5.8824 500 1.6016 0.3582 1.6016 1.2656
0.4106 5.9059 502 1.4867 0.3910 1.4867 1.2193
0.4106 5.9294 504 1.4562 0.4211 1.4562 1.2067
0.4106 5.9529 506 1.5011 0.4030 1.5011 1.2252
0.4106 5.9765 508 1.6149 0.3407 1.6149 1.2708
0.4106 6.0 510 1.6857 0.3088 1.6857 1.2984
0.4106 6.0235 512 1.6756 0.3088 1.6756 1.2944
0.4106 6.0471 514 1.7377 0.2920 1.7377 1.3182
0.4106 6.0706 516 1.6554 0.3407 1.6554 1.2866

Framework versions

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