ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k13_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: 1.6582
  • Qwk: 0.3788
  • Mse: 1.6582
  • Rmse: 1.2877

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 0.0328 2 6.9045 0.0179 6.9045 2.6276
No log 0.0656 4 4.7308 0.0821 4.7308 2.1751
No log 0.0984 6 3.5670 0.0106 3.5670 1.8887
No log 0.1311 8 2.5994 0.0946 2.5994 1.6123
No log 0.1639 10 2.0889 0.1440 2.0889 1.4453
No log 0.1967 12 1.9204 0.1964 1.9204 1.3858
No log 0.2295 14 1.9458 0.1622 1.9458 1.3949
No log 0.2623 16 2.0055 0.1964 2.0055 1.4161
No log 0.2951 18 2.1539 0.1345 2.1539 1.4676
No log 0.3279 20 2.1367 0.1197 2.1367 1.4618
No log 0.3607 22 2.1085 0.2326 2.1085 1.4521
No log 0.3934 24 2.7817 0.1026 2.7817 1.6679
No log 0.4262 26 2.9993 0.0602 2.9993 1.7318
No log 0.4590 28 2.0139 0.2406 2.0139 1.4191
No log 0.4918 30 1.6230 0.1667 1.6230 1.2740
No log 0.5246 32 1.6430 0.1869 1.6430 1.2818
No log 0.5574 34 1.6569 0.2018 1.6569 1.2872
No log 0.5902 36 1.5860 0.3902 1.5860 1.2594
No log 0.6230 38 1.7086 0.3721 1.7086 1.3071
No log 0.6557 40 1.7761 0.3284 1.7761 1.3327
No log 0.6885 42 1.6555 0.3664 1.6555 1.2867
No log 0.7213 44 1.5647 0.4122 1.5647 1.2509
No log 0.7541 46 1.5873 0.4 1.5873 1.2599
No log 0.7869 48 1.6085 0.3664 1.6085 1.2683
No log 0.8197 50 1.5448 0.3538 1.5448 1.2429
No log 0.8525 52 1.4727 0.3415 1.4727 1.2135
No log 0.8852 54 1.3439 0.3220 1.3439 1.1593
No log 0.9180 56 1.2570 0.3590 1.2570 1.1212
No log 0.9508 58 1.1435 0.5000 1.1435 1.0694
No log 0.9836 60 1.1378 0.5289 1.1378 1.0667
No log 1.0164 62 1.1635 0.4538 1.1635 1.0787
No log 1.0492 64 1.1847 0.4370 1.1847 1.0884
No log 1.0820 66 1.2784 0.5 1.2784 1.1307
No log 1.1148 68 1.2617 0.4390 1.2617 1.1233
No log 1.1475 70 1.2265 0.4262 1.2265 1.1075
No log 1.1803 72 1.2751 0.4426 1.2751 1.1292
No log 1.2131 74 1.4397 0.3684 1.4397 1.1999
No log 1.2459 76 1.6646 0.2364 1.6646 1.2902
No log 1.2787 78 1.6397 0.2364 1.6397 1.2805
No log 1.3115 80 1.3485 0.3826 1.3485 1.1612
No log 1.3443 82 1.1285 0.4667 1.1285 1.0623
No log 1.3770 84 1.0876 0.5323 1.0876 1.0429
No log 1.4098 86 1.1022 0.4959 1.1022 1.0499
No log 1.4426 88 1.3782 0.3509 1.3782 1.1740
No log 1.4754 90 1.7426 0.2883 1.7426 1.3201
No log 1.5082 92 2.0439 0.0526 2.0439 1.4297
No log 1.5410 94 2.0228 0.0862 2.0228 1.4222
No log 1.5738 96 1.4431 0.3363 1.4431 1.2013
No log 1.6066 98 1.2638 0.4615 1.2638 1.1242
No log 1.6393 100 1.2910 0.4202 1.2910 1.1362
No log 1.6721 102 1.3129 0.4677 1.3129 1.1458
No log 1.7049 104 1.3345 0.4252 1.3345 1.1552
No log 1.7377 106 1.4578 0.3937 1.4578 1.2074
No log 1.7705 108 1.5232 0.3622 1.5232 1.2342
No log 1.8033 110 1.5734 0.3459 1.5734 1.2544
No log 1.8361 112 1.5366 0.3433 1.5366 1.2396
No log 1.8689 114 1.6340 0.3407 1.6340 1.2783
No log 1.9016 116 1.7493 0.2791 1.7493 1.3226
No log 1.9344 118 1.6394 0.3359 1.6394 1.2804
No log 1.9672 120 1.3848 0.4031 1.3848 1.1768
No log 2.0 122 1.2960 0.4833 1.2960 1.1384
No log 2.0328 124 1.2718 0.4615 1.2718 1.1278
No log 2.0656 126 1.2468 0.5124 1.2468 1.1166
No log 2.0984 128 1.2841 0.5289 1.2841 1.1332
No log 2.1311 130 1.3311 0.5161 1.3311 1.1537
No log 2.1639 132 1.3971 0.4186 1.3971 1.1820
No log 2.1967 134 1.5211 0.3788 1.5211 1.2333
No log 2.2295 136 1.7091 0.2923 1.7091 1.3073
No log 2.2623 138 1.7274 0.2812 1.7274 1.3143
No log 2.2951 140 1.5976 0.3256 1.5976 1.2640
No log 2.3279 142 1.4291 0.4154 1.4291 1.1954
No log 2.3607 144 1.4722 0.3759 1.4722 1.2133
No log 2.3934 146 1.6263 0.3382 1.6263 1.2753
No log 2.4262 148 1.8716 0.2628 1.8716 1.3681
No log 2.4590 150 1.9830 0.2778 1.9830 1.4082
No log 2.4918 152 1.7986 0.3000 1.7986 1.3411
No log 2.5246 154 1.5456 0.3636 1.5456 1.2432
No log 2.5574 156 1.5037 0.3969 1.5037 1.2262
No log 2.5902 158 1.5745 0.3259 1.5745 1.2548
No log 2.6230 160 1.6800 0.3088 1.6800 1.2961
No log 2.6557 162 1.6483 0.3459 1.6483 1.2839
No log 2.6885 164 1.5715 0.3307 1.5715 1.2536
No log 2.7213 166 1.4777 0.3651 1.4777 1.2156
No log 2.7541 168 1.5218 0.3520 1.5218 1.2336
No log 2.7869 170 1.7444 0.2344 1.7444 1.3207
No log 2.8197 172 1.8455 0.2171 1.8455 1.3585
No log 2.8525 174 1.8160 0.2171 1.8160 1.3476
No log 2.8852 176 1.6155 0.3307 1.6155 1.2710
No log 2.9180 178 1.6134 0.2581 1.6134 1.2702
No log 2.9508 180 1.6300 0.272 1.6300 1.2767
No log 2.9836 182 1.6896 0.3231 1.6896 1.2998
No log 3.0164 184 1.8521 0.3008 1.8521 1.3609
No log 3.0492 186 1.8610 0.2707 1.8610 1.3642
No log 3.0820 188 1.7418 0.3008 1.7418 1.3198
No log 3.1148 190 1.6239 0.3504 1.6239 1.2743
No log 3.1475 192 1.7261 0.3235 1.7261 1.3138
No log 3.1803 194 1.8231 0.2963 1.8231 1.3502
No log 3.2131 196 1.9156 0.2707 1.9156 1.3841
No log 3.2459 198 1.7826 0.3359 1.7826 1.3351
No log 3.2787 200 1.6089 0.4062 1.6089 1.2684
No log 3.3115 202 1.5471 0.4032 1.5471 1.2438
No log 3.3443 204 1.5430 0.3934 1.5430 1.2422
No log 3.3770 206 1.7354 0.2992 1.7354 1.3173
No log 3.4098 208 1.8235 0.2344 1.8235 1.3504
No log 3.4426 210 1.8012 0.2769 1.8012 1.3421
No log 3.4754 212 1.7482 0.3053 1.7482 1.3222
No log 3.5082 214 1.8621 0.2462 1.8621 1.3646
No log 3.5410 216 1.9699 0.2205 1.9699 1.4035
No log 3.5738 218 2.0849 0.1600 2.0849 1.4439
No log 3.6066 220 2.1546 -0.0174 2.1546 1.4678
No log 3.6393 222 1.9152 0.1452 1.9152 1.3839
No log 3.6721 224 1.6226 0.3385 1.6226 1.2738
No log 3.7049 226 1.4015 0.4580 1.4015 1.1838
No log 3.7377 228 1.4279 0.3731 1.4279 1.1949
No log 3.7705 230 1.4971 0.3824 1.4971 1.2236
No log 3.8033 232 1.6686 0.3382 1.6686 1.2918
No log 3.8361 234 1.9141 0.2105 1.9141 1.3835
No log 3.8689 236 1.9726 0.1818 1.9726 1.4045
No log 3.9016 238 1.8920 0.2290 1.8920 1.3755
No log 3.9344 240 1.6564 0.2636 1.6564 1.2870
No log 3.9672 242 1.4332 0.3876 1.4332 1.1972
No log 4.0 244 1.3307 0.4715 1.3307 1.1536
No log 4.0328 246 1.3610 0.4426 1.3610 1.1666
No log 4.0656 248 1.5313 0.3910 1.5313 1.2375
No log 4.0984 250 1.8203 0.3333 1.8203 1.3492
No log 4.1311 252 2.0283 0.2128 2.0283 1.4242
No log 4.1639 254 2.1327 0.1119 2.1327 1.4604
No log 4.1967 256 2.0888 0.1304 2.0888 1.4453
No log 4.2295 258 1.9603 0.1746 1.9603 1.4001
No log 4.2623 260 1.8487 0.1818 1.8487 1.3597
No log 4.2951 262 1.7450 0.2982 1.7450 1.3210
No log 4.3279 264 1.6753 0.3276 1.6753 1.2943
No log 4.3607 266 1.6669 0.3898 1.6669 1.2911
No log 4.3934 268 1.7214 0.3866 1.7214 1.3120
No log 4.4262 270 1.8883 0.1985 1.8883 1.3741
No log 4.4590 272 2.1104 0.1630 2.1104 1.4527
No log 4.4918 274 2.2681 0.0580 2.2681 1.5060
No log 4.5246 276 2.2822 0.0310 2.2822 1.5107
No log 4.5574 278 2.1880 0.0 2.1880 1.4792
No log 4.5902 280 2.0074 0.1463 2.0074 1.4168
No log 4.6230 282 1.8814 0.1695 1.8814 1.3716
No log 4.6557 284 1.8298 0.2333 1.8298 1.3527
No log 4.6885 286 1.8432 0.1920 1.8432 1.3577
No log 4.7213 288 1.8589 0.2556 1.8589 1.3634
No log 4.7541 290 1.8437 0.3088 1.8437 1.3578
No log 4.7869 292 1.8626 0.3043 1.8626 1.3648
No log 4.8197 294 1.9446 0.2302 1.9446 1.3945
No log 4.8525 296 1.9275 0.2464 1.9275 1.3884
No log 4.8852 298 1.8574 0.3043 1.8574 1.3629
No log 4.9180 300 1.7239 0.3235 1.7239 1.3130
No log 4.9508 302 1.6010 0.4060 1.6010 1.2653
No log 4.9836 304 1.6468 0.4328 1.6468 1.2833
No log 5.0164 306 1.7866 0.3333 1.7866 1.3366
No log 5.0492 308 1.8655 0.3066 1.8655 1.3658
No log 5.0820 310 1.9520 0.2899 1.9520 1.3971
No log 5.1148 312 1.8790 0.2878 1.8790 1.3708
No log 5.1475 314 1.7288 0.3556 1.7288 1.3148
No log 5.1803 316 1.6327 0.3609 1.6327 1.2778
No log 5.2131 318 1.5979 0.3817 1.5979 1.2641
No log 5.2459 320 1.6429 0.3846 1.6429 1.2818
No log 5.2787 322 1.7164 0.3664 1.7164 1.3101
No log 5.3115 324 1.8091 0.3259 1.8091 1.3450
No log 5.3443 326 1.8813 0.3212 1.8813 1.3716
No log 5.3770 328 1.9186 0.3043 1.9186 1.3851
No log 5.4098 330 1.8341 0.2941 1.8341 1.3543
No log 5.4426 332 1.7440 0.3235 1.7440 1.3206
No log 5.4754 334 1.7463 0.3235 1.7463 1.3215
No log 5.5082 336 1.7874 0.2941 1.7874 1.3370
No log 5.5410 338 1.8700 0.3043 1.8700 1.3675
No log 5.5738 340 1.9646 0.2302 1.9646 1.4016
No log 5.6066 342 1.9047 0.2774 1.9047 1.3801
No log 5.6393 344 1.7464 0.3206 1.7464 1.3215
No log 5.6721 346 1.6323 0.4320 1.6323 1.2776
No log 5.7049 348 1.6295 0.3876 1.6295 1.2765
No log 5.7377 350 1.7014 0.3111 1.7014 1.3044
No log 5.7705 352 1.7891 0.2754 1.7891 1.3376
No log 5.8033 354 1.8725 0.2270 1.8725 1.3684
No log 5.8361 356 1.9163 0.2270 1.9163 1.3843
No log 5.8689 358 1.7899 0.2411 1.7899 1.3379
No log 5.9016 360 1.6905 0.3022 1.6905 1.3002
No log 5.9344 362 1.6173 0.3188 1.6173 1.2717
No log 5.9672 364 1.6481 0.3358 1.6481 1.2838
No log 6.0 366 1.6570 0.3609 1.6570 1.2872
No log 6.0328 368 1.6916 0.3664 1.6916 1.3006
No log 6.0656 370 1.6549 0.3664 1.6549 1.2864
No log 6.0984 372 1.6066 0.3910 1.6066 1.2675
No log 6.1311 374 1.4868 0.3910 1.4868 1.2193
No log 6.1639 376 1.4516 0.4179 1.4516 1.2048
No log 6.1967 378 1.6025 0.3796 1.6025 1.2659
No log 6.2295 380 1.6887 0.3796 1.6887 1.2995
No log 6.2623 382 1.8210 0.2535 1.8210 1.3494
No log 6.2951 384 1.8605 0.2734 1.8605 1.3640
No log 6.3279 386 1.7869 0.2707 1.7869 1.3368
No log 6.3607 388 1.6904 0.3206 1.6904 1.3002
No log 6.3934 390 1.6657 0.3333 1.6657 1.2906
No log 6.4262 392 1.6692 0.2857 1.6692 1.2920
No log 6.4590 394 1.6516 0.3158 1.6516 1.2852
No log 6.4918 396 1.6818 0.3281 1.6818 1.2968
No log 6.5246 398 1.7369 0.3125 1.7369 1.3179
No log 6.5574 400 1.7350 0.3385 1.7350 1.3172
No log 6.5902 402 1.6880 0.3175 1.6880 1.2992
No log 6.6230 404 1.5753 0.3770 1.5753 1.2551
No log 6.6557 406 1.4728 0.3967 1.4728 1.2136
No log 6.6885 408 1.3995 0.3934 1.3995 1.1830
No log 6.7213 410 1.3728 0.4228 1.3728 1.1717
No log 6.7541 412 1.3988 0.4355 1.3988 1.1827
No log 6.7869 414 1.4504 0.4127 1.4504 1.2043
No log 6.8197 416 1.5043 0.4094 1.5043 1.2265
No log 6.8525 418 1.6080 0.3307 1.6080 1.2681
No log 6.8852 420 1.6983 0.3308 1.6983 1.3032
No log 6.9180 422 1.6633 0.3609 1.6633 1.2897
No log 6.9508 424 1.5842 0.3636 1.5842 1.2586
No log 6.9836 426 1.5497 0.3817 1.5497 1.2449
No log 7.0164 428 1.6268 0.3281 1.6268 1.2755
No log 7.0492 430 1.7474 0.2769 1.7474 1.3219
No log 7.0820 432 1.8468 0.2519 1.8468 1.3590
No log 7.1148 434 1.8575 0.2519 1.8575 1.3629
No log 7.1475 436 1.7373 0.2946 1.7373 1.3181
No log 7.1803 438 1.5880 0.3465 1.5880 1.2602
No log 7.2131 440 1.4779 0.4320 1.4779 1.2157
No log 7.2459 442 1.4569 0.4390 1.4569 1.2070
No log 7.2787 444 1.5063 0.4320 1.5063 1.2273
No log 7.3115 446 1.6359 0.3492 1.6359 1.2790
No log 7.3443 448 1.7278 0.3200 1.7278 1.3145
No log 7.3770 450 1.7437 0.3065 1.7437 1.3205
No log 7.4098 452 1.7277 0.3115 1.7277 1.3144
No log 7.4426 454 1.6217 0.3115 1.6217 1.2734
No log 7.4754 456 1.5139 0.3471 1.5139 1.2304
No log 7.5082 458 1.5550 0.3252 1.5550 1.2470
No log 7.5410 460 1.7142 0.2880 1.7142 1.3093
No log 7.5738 462 1.9082 0.2326 1.9082 1.3814
No log 7.6066 464 2.0034 0.1692 2.0034 1.4154
No log 7.6393 466 1.9934 0.2031 1.9934 1.4119
No log 7.6721 468 1.9303 0.2656 1.9303 1.3894
No log 7.7049 470 1.8366 0.3125 1.8366 1.3552
No log 7.7377 472 1.8446 0.3411 1.8446 1.3582
No log 7.7705 474 1.8959 0.3206 1.8959 1.3769
No log 7.8033 476 1.8475 0.3333 1.8475 1.3592
No log 7.8361 478 1.8085 0.3459 1.8085 1.3448
No log 7.8689 480 1.8241 0.3182 1.8241 1.3506
No log 7.9016 482 1.7944 0.3459 1.7944 1.3396
No log 7.9344 484 1.7846 0.3259 1.7846 1.3359
No log 7.9672 486 1.7624 0.3529 1.7624 1.3275
No log 8.0 488 1.6909 0.3582 1.6909 1.3003
No log 8.0328 490 1.6941 0.3796 1.6941 1.3016
No log 8.0656 492 1.6905 0.3796 1.6905 1.3002
No log 8.0984 494 1.6932 0.3650 1.6932 1.3012
No log 8.1311 496 1.6130 0.3817 1.6130 1.2700
No log 8.1639 498 1.5177 0.4252 1.5177 1.2320
0.3978 8.1967 500 1.5858 0.4 1.5858 1.2593
0.3978 8.2295 502 1.7173 0.3333 1.7173 1.3105
0.3978 8.2623 504 1.7905 0.2941 1.7905 1.3381
0.3978 8.2951 506 1.7664 0.3284 1.7664 1.3291
0.3978 8.3279 508 1.7399 0.3433 1.7399 1.3191
0.3978 8.3607 510 1.6582 0.3788 1.6582 1.2877

Framework versions

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