ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k14_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: 1.6186
  • Qwk: 0.3582
  • Mse: 1.6186
  • Rmse: 1.2722

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 0.0303 2 6.9567 0.0242 6.9567 2.6376
No log 0.0606 4 4.6941 0.0602 4.6941 2.1666
No log 0.0909 6 3.3017 0.0111 3.3017 1.8171
No log 0.1212 8 2.6325 0.1549 2.6325 1.6225
No log 0.1515 10 1.8019 0.2373 1.8019 1.3423
No log 0.1818 12 2.1239 0.0945 2.1239 1.4574
No log 0.2121 14 2.3805 0.1143 2.3805 1.5429
No log 0.2424 16 2.2690 0.0310 2.2690 1.5063
No log 0.2727 18 2.0271 0.1463 2.0271 1.4238
No log 0.3030 20 1.7223 0.2143 1.7223 1.3124
No log 0.3333 22 1.6617 0.2281 1.6617 1.2891
No log 0.3636 24 2.0441 0.2171 2.0441 1.4297
No log 0.3939 26 1.9881 0.25 1.9881 1.4100
No log 0.4242 28 1.5926 0.2314 1.5926 1.2620
No log 0.4545 30 1.3289 0.3158 1.3289 1.1528
No log 0.4848 32 1.4678 0.2593 1.4678 1.2115
No log 0.5152 34 1.4871 0.2075 1.4871 1.2195
No log 0.5455 36 1.4787 0.2727 1.4787 1.2160
No log 0.5758 38 1.5852 0.2632 1.5852 1.2590
No log 0.6061 40 1.5905 0.2333 1.5905 1.2611
No log 0.6364 42 1.6253 0.3065 1.6253 1.2749
No log 0.6667 44 1.7447 0.3385 1.7447 1.3209
No log 0.6970 46 2.0983 0.0458 2.0983 1.4486
No log 0.7273 48 3.0672 -0.0902 3.0672 1.7513
No log 0.7576 50 3.4204 -0.2411 3.4204 1.8494
No log 0.7879 52 2.4391 -0.0813 2.4391 1.5618
No log 0.8182 54 1.5614 0.25 1.5614 1.2496
No log 0.8485 56 1.2838 0.3590 1.2838 1.1331
No log 0.8788 58 1.2701 0.3276 1.2701 1.1270
No log 0.9091 60 1.2254 0.4071 1.2254 1.1070
No log 0.9394 62 1.3377 0.3717 1.3377 1.1566
No log 0.9697 64 1.5106 0.3802 1.5106 1.2291
No log 1.0 66 1.5563 0.3906 1.5563 1.2475
No log 1.0303 68 1.4032 0.4098 1.4032 1.1845
No log 1.0606 70 1.3817 0.3667 1.3817 1.1755
No log 1.0909 72 1.3366 0.3636 1.3366 1.1561
No log 1.1212 74 1.4014 0.4252 1.4014 1.1838
No log 1.1515 76 1.7605 0.3111 1.7605 1.3268
No log 1.1818 78 1.8134 0.3111 1.8134 1.3466
No log 1.2121 80 1.5203 0.3934 1.5203 1.2330
No log 1.2424 82 1.3307 0.2857 1.3307 1.1536
No log 1.2727 84 1.3491 0.2906 1.3491 1.1615
No log 1.3030 86 1.2958 0.2807 1.2958 1.1383
No log 1.3333 88 1.2966 0.3393 1.2966 1.1387
No log 1.3636 90 1.9258 0.2162 1.9258 1.3877
No log 1.3939 92 3.4151 -0.4480 3.4151 1.8480
No log 1.4242 94 3.6357 -0.4000 3.6357 1.9068
No log 1.4545 96 2.7047 -0.0976 2.7047 1.6446
No log 1.4848 98 1.7287 0.2203 1.7287 1.3148
No log 1.5152 100 1.5254 0.3167 1.5254 1.2351
No log 1.5455 102 1.6240 0.2975 1.6240 1.2744
No log 1.5758 104 1.6915 0.2645 1.6915 1.3006
No log 1.6061 106 1.7110 0.2240 1.7110 1.3081
No log 1.6364 108 1.6342 0.272 1.6342 1.2783
No log 1.6667 110 1.6206 0.2656 1.6206 1.2730
No log 1.6970 112 1.8060 0.1875 1.8060 1.3439
No log 1.7273 114 1.9603 0.1168 1.9603 1.4001
No log 1.7576 116 1.9517 0.1295 1.9517 1.3970
No log 1.7879 118 1.7944 0.2353 1.7944 1.3396
No log 1.8182 120 1.8667 0.2336 1.8667 1.3663
No log 1.8485 122 2.0678 0.1277 2.0678 1.4380
No log 1.8788 124 2.1809 0.1259 2.1809 1.4768
No log 1.9091 126 1.8812 0.2590 1.8812 1.3716
No log 1.9394 128 1.6640 0.3650 1.6640 1.2900
No log 1.9697 130 1.6513 0.3235 1.6513 1.2850
No log 2.0 132 1.7924 0.2754 1.7924 1.3388
No log 2.0303 134 1.7719 0.2857 1.7719 1.3311
No log 2.0606 136 1.7572 0.2609 1.7572 1.3256
No log 2.0909 138 1.8922 0.2029 1.8922 1.3756
No log 2.1212 140 1.7768 0.25 1.7768 1.3330
No log 2.1515 142 1.5972 0.3308 1.5972 1.2638
No log 2.1818 144 1.7323 0.2837 1.7323 1.3162
No log 2.2121 146 2.2787 0.2041 2.2787 1.5095
No log 2.2424 148 2.4873 0.1633 2.4873 1.5771
No log 2.2727 150 2.2193 0.2449 2.2193 1.4897
No log 2.3030 152 1.8572 0.2920 1.8572 1.3628
No log 2.3333 154 1.8229 0.3188 1.8229 1.3501
No log 2.3636 156 1.8052 0.3188 1.8052 1.3436
No log 2.3939 158 1.7272 0.3212 1.7272 1.3142
No log 2.4242 160 1.4529 0.3939 1.4529 1.2054
No log 2.4545 162 1.2089 0.5312 1.2089 1.0995
No log 2.4848 164 1.2292 0.5312 1.2292 1.1087
No log 2.5152 166 1.5626 0.3704 1.5626 1.2500
No log 2.5455 168 1.9689 0.2857 1.9689 1.4032
No log 2.5758 170 2.0950 0.2639 2.0950 1.4474
No log 2.6061 172 1.7710 0.3286 1.7710 1.3308
No log 2.6364 174 1.3487 0.4062 1.3487 1.1613
No log 2.6667 176 1.3139 0.4252 1.3139 1.1462
No log 2.6970 178 1.5970 0.3704 1.5970 1.2637
No log 2.7273 180 2.0103 0.2394 2.0103 1.4179
No log 2.7576 182 2.0862 0.2394 2.0862 1.4444
No log 2.7879 184 1.9091 0.2899 1.9091 1.3817
No log 2.8182 186 1.6437 0.3704 1.6437 1.2821
No log 2.8485 188 1.5987 0.3731 1.5987 1.2644
No log 2.8788 190 1.7297 0.3134 1.7297 1.3152
No log 2.9091 192 1.8315 0.3134 1.8315 1.3533
No log 2.9394 194 1.7372 0.3333 1.7372 1.3180
No log 2.9697 196 1.5673 0.3939 1.5673 1.2519
No log 3.0 198 1.4247 0.3810 1.4247 1.1936
No log 3.0303 200 1.4123 0.3937 1.4123 1.1884
No log 3.0606 202 1.5052 0.4091 1.5052 1.2269
No log 3.0909 204 1.6707 0.3407 1.6707 1.2925
No log 3.1212 206 1.6496 0.3407 1.6496 1.2844
No log 3.1515 208 1.5669 0.3609 1.5669 1.2517
No log 3.1818 210 1.6475 0.3609 1.6475 1.2836
No log 3.2121 212 1.5771 0.3609 1.5771 1.2558
No log 3.2424 214 1.5209 0.3780 1.5209 1.2332
No log 3.2727 216 1.5256 0.3566 1.5256 1.2352
No log 3.3030 218 1.5901 0.3731 1.5901 1.2610
No log 3.3333 220 1.6836 0.3529 1.6836 1.2975
No log 3.3636 222 1.5854 0.3759 1.5854 1.2591
No log 3.3939 224 1.4673 0.4 1.4673 1.2113
No log 3.4242 226 1.4639 0.3511 1.4639 1.2099
No log 3.4545 228 1.6759 0.2985 1.6759 1.2946
No log 3.4848 230 2.0121 0.2774 2.0121 1.4185
No log 3.5152 232 1.9528 0.2815 1.9528 1.3974
No log 3.5455 234 1.6786 0.3158 1.6786 1.2956
No log 3.5758 236 1.4829 0.3710 1.4829 1.2177
No log 3.6061 238 1.4839 0.3710 1.4839 1.2182
No log 3.6364 240 1.5609 0.4252 1.5609 1.2494
No log 3.6667 242 1.7683 0.3008 1.7683 1.3298
No log 3.6970 244 2.0743 0.2128 2.0743 1.4403
No log 3.7273 246 2.1647 0.1831 2.1647 1.4713
No log 3.7576 248 2.0529 0.2128 2.0529 1.4328
No log 3.7879 250 1.8799 0.2754 1.8799 1.3711
No log 3.8182 252 1.8432 0.2878 1.8432 1.3576
No log 3.8485 254 1.9238 0.2714 1.9238 1.3870
No log 3.8788 256 1.8754 0.2837 1.8754 1.3695
No log 3.9091 258 1.8791 0.2837 1.8791 1.3708
No log 3.9394 260 2.0123 0.2714 2.0123 1.4186
No log 3.9697 262 2.1031 0.1831 2.1031 1.4502
No log 4.0 264 1.9268 0.2446 1.9268 1.3881
No log 4.0303 266 1.7615 0.3235 1.7615 1.3272
No log 4.0606 268 1.6376 0.3704 1.6376 1.2797
No log 4.0909 270 1.7005 0.3704 1.7005 1.3040
No log 4.1212 272 1.8218 0.2754 1.8218 1.3497
No log 4.1515 274 1.8560 0.3022 1.8560 1.3623
No log 4.1818 276 1.8287 0.3043 1.8287 1.3523
No log 4.2121 278 1.9491 0.2676 1.9491 1.3961
No log 4.2424 280 2.0333 0.2676 2.0333 1.4259
No log 4.2727 282 1.9863 0.2676 1.9863 1.4094
No log 4.3030 284 1.8408 0.2714 1.8408 1.3568
No log 4.3333 286 1.7651 0.3704 1.7651 1.3286
No log 4.3636 288 1.8071 0.3188 1.8071 1.3443
No log 4.3939 290 1.9144 0.2878 1.9144 1.3836
No log 4.4242 292 1.8202 0.3043 1.8202 1.3491
No log 4.4545 294 1.6701 0.3582 1.6701 1.2923
No log 4.4848 296 1.6361 0.3582 1.6361 1.2791
No log 4.5152 298 1.5927 0.3582 1.5927 1.2620
No log 4.5455 300 1.6373 0.3582 1.6373 1.2796
No log 4.5758 302 1.6281 0.3704 1.6281 1.2760
No log 4.6061 304 1.5555 0.3731 1.5555 1.2472
No log 4.6364 306 1.6266 0.3407 1.6266 1.2754
No log 4.6667 308 1.8861 0.3188 1.8861 1.3733
No log 4.6970 310 2.0843 0.2238 2.0843 1.4437
No log 4.7273 312 2.0698 0.2238 2.0698 1.4387
No log 4.7576 314 1.8468 0.3043 1.8468 1.3590
No log 4.7879 316 1.5401 0.4154 1.5401 1.2410
No log 4.8182 318 1.5080 0.4186 1.5080 1.2280
No log 4.8485 320 1.6551 0.3284 1.6551 1.2865
No log 4.8788 322 1.7568 0.3259 1.7568 1.3254
No log 4.9091 324 1.7780 0.3235 1.7780 1.3334
No log 4.9394 326 1.9830 0.2553 1.9830 1.4082
No log 4.9697 328 2.0009 0.2286 2.0009 1.4145
No log 5.0 330 1.8031 0.3043 1.8031 1.3428
No log 5.0303 332 1.5794 0.3759 1.5794 1.2567
No log 5.0606 334 1.5267 0.4275 1.5267 1.2356
No log 5.0909 336 1.6793 0.3433 1.6793 1.2959
No log 5.1212 338 1.9863 0.2143 1.9863 1.4094
No log 5.1515 340 2.4199 0.0972 2.4199 1.5556
No log 5.1818 342 2.6152 0.0423 2.6152 1.6171
No log 5.2121 344 2.5607 0.0423 2.5607 1.6002
No log 5.2424 346 2.3134 0.1702 2.3134 1.5210
No log 5.2727 348 1.9421 0.2774 1.9421 1.3936
No log 5.3030 350 1.6630 0.3910 1.6630 1.2896
No log 5.3333 352 1.6222 0.3939 1.6222 1.2737
No log 5.3636 354 1.7508 0.3407 1.7508 1.3232
No log 5.3939 356 1.9540 0.2143 1.9540 1.3979
No log 5.4242 358 1.9580 0.2143 1.9580 1.3993
No log 5.4545 360 1.9312 0.2319 1.9312 1.3897
No log 5.4848 362 1.8687 0.2794 1.8687 1.3670
No log 5.5152 364 1.7613 0.3259 1.7613 1.3271
No log 5.5455 366 1.6040 0.3817 1.6040 1.2665
No log 5.5758 368 1.5713 0.4341 1.5713 1.2535
No log 5.6061 370 1.5912 0.3910 1.5912 1.2614
No log 5.6364 372 1.6794 0.3582 1.6794 1.2959
No log 5.6667 374 1.6897 0.3582 1.6897 1.2999
No log 5.6970 376 1.6027 0.3910 1.6027 1.2660
No log 5.7273 378 1.4462 0.4286 1.4462 1.2026
No log 5.7576 380 1.4196 0.4390 1.4196 1.1915
No log 5.7879 382 1.4489 0.4390 1.4489 1.2037
No log 5.8182 384 1.5247 0.4567 1.5247 1.2348
No log 5.8485 386 1.5258 0.4567 1.5258 1.2352
No log 5.8788 388 1.4295 0.4567 1.4295 1.1956
No log 5.9091 390 1.2492 0.4800 1.2492 1.1177
No log 5.9394 392 1.1690 0.4839 1.1690 1.0812
No log 5.9697 394 1.2089 0.4882 1.2089 1.0995
No log 6.0 396 1.3919 0.4427 1.3919 1.1798
No log 6.0303 398 1.7106 0.3852 1.7106 1.3079
No log 6.0606 400 1.8499 0.2676 1.8499 1.3601
No log 6.0909 402 1.8823 0.2590 1.8823 1.3720
No log 6.1212 404 1.7265 0.3284 1.7265 1.3140
No log 6.1515 406 1.5837 0.4308 1.5837 1.2584
No log 6.1818 408 1.4884 0.4341 1.4884 1.2200
No log 6.2121 410 1.4904 0.4308 1.4904 1.2208
No log 6.2424 412 1.5321 0.4122 1.5321 1.2378
No log 6.2727 414 1.6131 0.3881 1.6131 1.2701
No log 6.3030 416 1.6890 0.3529 1.6890 1.2996
No log 6.3333 418 1.6802 0.3529 1.6802 1.2962
No log 6.3636 420 1.5378 0.4091 1.5378 1.2401
No log 6.3939 422 1.3782 0.4688 1.3782 1.1740
No log 6.4242 424 1.3181 0.4531 1.3181 1.1481
No log 6.4545 426 1.2373 0.4603 1.2373 1.1123
No log 6.4848 428 1.2502 0.4603 1.2502 1.1181
No log 6.5152 430 1.2847 0.4409 1.2847 1.1335
No log 6.5455 432 1.4139 0.4462 1.4139 1.1891
No log 6.5758 434 1.5411 0.4211 1.5411 1.2414
No log 6.6061 436 1.4751 0.4427 1.4751 1.2145
No log 6.6364 438 1.5092 0.4427 1.5092 1.2285
No log 6.6667 440 1.5574 0.4427 1.5574 1.2480
No log 6.6970 442 1.5809 0.3939 1.5809 1.2574
No log 6.7273 444 1.6091 0.3664 1.6091 1.2685
No log 6.7576 446 1.6168 0.3664 1.6168 1.2715
No log 6.7879 448 1.6170 0.3939 1.6170 1.2716
No log 6.8182 450 1.5286 0.4242 1.5286 1.2364
No log 6.8485 452 1.4927 0.4242 1.4927 1.2218
No log 6.8788 454 1.5656 0.4060 1.5656 1.2512
No log 6.9091 456 1.6789 0.3433 1.6789 1.2957
No log 6.9394 458 1.6497 0.3459 1.6497 1.2844
No log 6.9697 460 1.5338 0.4 1.5338 1.2385
No log 7.0 462 1.3880 0.4496 1.3880 1.1781
No log 7.0303 464 1.2312 0.4444 1.2312 1.1096
No log 7.0606 466 1.1467 0.4640 1.1467 1.0708
No log 7.0909 468 1.1254 0.4444 1.1254 1.0608
No log 7.1212 470 1.2335 0.4844 1.2335 1.1106
No log 7.1515 472 1.3270 0.4531 1.3270 1.1520
No log 7.1818 474 1.4251 0.4462 1.4251 1.1938
No log 7.2121 476 1.4088 0.4496 1.4088 1.1869
No log 7.2424 478 1.4188 0.4462 1.4188 1.1911
No log 7.2727 480 1.3854 0.4615 1.3854 1.1770
No log 7.3030 482 1.4324 0.4615 1.4324 1.1968
No log 7.3333 484 1.5602 0.4242 1.5602 1.2491
No log 7.3636 486 1.7010 0.3881 1.7010 1.3042
No log 7.3939 488 1.6883 0.4211 1.6883 1.2993
No log 7.4242 490 1.6211 0.4242 1.6211 1.2732
No log 7.4545 492 1.4931 0.4462 1.4931 1.2219
No log 7.4848 494 1.3806 0.4531 1.3806 1.1750
No log 7.5152 496 1.3005 0.4531 1.3005 1.1404
No log 7.5455 498 1.3290 0.4806 1.3290 1.1528
0.4424 7.5758 500 1.4855 0.4275 1.4855 1.2188
0.4424 7.6061 502 1.7570 0.2774 1.7570 1.3255
0.4424 7.6364 504 1.8744 0.2754 1.8744 1.3691
0.4424 7.6667 506 1.7754 0.2754 1.7754 1.3324
0.4424 7.6970 508 1.5303 0.4242 1.5303 1.2371
0.4424 7.7273 510 1.3370 0.4409 1.3370 1.1563
0.4424 7.7576 512 1.3183 0.4298 1.3183 1.1482
0.4424 7.7879 514 1.3350 0.4320 1.3350 1.1554
0.4424 7.8182 516 1.4535 0.4688 1.4535 1.2056
0.4424 7.8485 518 1.6714 0.3582 1.6714 1.2928
0.4424 7.8788 520 1.8174 0.3043 1.8174 1.3481
0.4424 7.9091 522 1.8982 0.2754 1.8982 1.3777
0.4424 7.9394 524 1.8205 0.2774 1.8205 1.3493
0.4424 7.9697 526 1.6186 0.3582 1.6186 1.2722

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
-
Safetensors
Model size
0.1B params
Tensor type
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k14_task1_organization

Finetuned
(4019)
this model