ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_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: 1.6973
  • Qwk: 0.3286
  • Mse: 1.6973
  • Rmse: 1.3028

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 6.8417 0.0239 6.8417 2.6157
No log 0.0656 4 4.7378 0.0690 4.7378 2.1767
No log 0.0984 6 3.1378 0.0988 3.1378 1.7714
No log 0.1311 8 2.8409 0.0633 2.8409 1.6855
No log 0.1639 10 2.1719 0.1324 2.1719 1.4737
No log 0.1967 12 1.7771 0.2182 1.7771 1.3331
No log 0.2295 14 1.6982 0.1538 1.6982 1.3032
No log 0.2623 16 1.7480 0.1481 1.7480 1.3221
No log 0.2951 18 2.1433 0.1493 2.1433 1.4640
No log 0.3279 20 2.5475 0.0662 2.5475 1.5961
No log 0.3607 22 2.7186 0.0513 2.7186 1.6488
No log 0.3934 24 2.4762 0.0261 2.4762 1.5736
No log 0.4262 26 2.3151 0.0268 2.3151 1.5215
No log 0.4590 28 2.4178 0.0 2.4178 1.5549
No log 0.4918 30 2.4516 0.0 2.4516 1.5658
No log 0.5246 32 2.3473 0.0 2.3473 1.5321
No log 0.5574 34 2.1635 0.125 2.1635 1.4709
No log 0.5902 36 1.8960 0.4160 1.8960 1.3769
No log 0.6230 38 1.6598 0.2545 1.6598 1.2884
No log 0.6557 40 1.5253 0.1524 1.5253 1.2350
No log 0.6885 42 1.4885 0.2056 1.4885 1.2200
No log 0.7213 44 1.6088 0.3276 1.6088 1.2684
No log 0.7541 46 1.6051 0.3130 1.6051 1.2669
No log 0.7869 48 1.5006 0.2342 1.5006 1.2250
No log 0.8197 50 1.4319 0.2018 1.4319 1.1966
No log 0.8525 52 1.3578 0.1714 1.3578 1.1652
No log 0.8852 54 1.3709 0.2264 1.3709 1.1709
No log 0.9180 56 1.3667 0.2264 1.3667 1.1690
No log 0.9508 58 1.1901 0.3423 1.1901 1.0909
No log 0.9836 60 1.1292 0.4961 1.1292 1.0626
No log 1.0164 62 2.0280 0.4444 2.0280 1.4241
No log 1.0492 64 2.0595 0.3926 2.0595 1.4351
No log 1.0820 66 1.3255 0.5255 1.3255 1.1513
No log 1.1148 68 1.1197 0.4576 1.1197 1.0582
No log 1.1475 70 1.1825 0.3684 1.1825 1.0874
No log 1.1803 72 1.3170 0.3478 1.3170 1.1476
No log 1.2131 74 1.3576 0.3333 1.3576 1.1652
No log 1.2459 76 1.3962 0.3186 1.3962 1.1816
No log 1.2787 78 1.3712 0.2202 1.3712 1.1710
No log 1.3115 80 1.4136 0.1905 1.4136 1.1890
No log 1.3443 82 1.4820 0.2778 1.4820 1.2174
No log 1.3770 84 1.5260 0.2430 1.5260 1.2353
No log 1.4098 86 1.4310 0.3540 1.4310 1.1962
No log 1.4426 88 1.3530 0.5581 1.3530 1.1632
No log 1.4754 90 1.4032 0.4593 1.4032 1.1845
No log 1.5082 92 1.5361 0.4173 1.5361 1.2394
No log 1.5410 94 1.7015 0.3776 1.7015 1.3044
No log 1.5738 96 1.8631 0.3333 1.8631 1.3649
No log 1.6066 98 1.9452 0.3108 1.9452 1.3947
No log 1.6393 100 2.2206 0.1905 2.2206 1.4902
No log 1.6721 102 2.4478 0.2000 2.4478 1.5645
No log 1.7049 104 2.4654 0.3034 2.4654 1.5702
No log 1.7377 106 2.3853 0.3030 2.3853 1.5444
No log 1.7705 108 2.3647 0.2733 2.3647 1.5378
No log 1.8033 110 2.0989 0.2603 2.0989 1.4488
No log 1.8361 112 1.7357 0.3022 1.7357 1.3175
No log 1.8689 114 1.5838 0.3857 1.5838 1.2585
No log 1.9016 116 1.6605 0.3623 1.6605 1.2886
No log 1.9344 118 1.6732 0.3333 1.6732 1.2935
No log 1.9672 120 1.7003 0.3333 1.7003 1.3040
No log 2.0 122 1.6525 0.3333 1.6525 1.2855
No log 2.0328 124 1.6942 0.3165 1.6942 1.3016
No log 2.0656 126 1.6173 0.3429 1.6173 1.2717
No log 2.0984 128 1.4252 0.4818 1.4252 1.1938
No log 2.1311 130 1.4347 0.4638 1.4347 1.1978
No log 2.1639 132 1.6399 0.3597 1.6399 1.2806
No log 2.1967 134 1.8675 0.2695 1.8675 1.3666
No log 2.2295 136 1.8944 0.2429 1.8944 1.3764
No log 2.2623 138 1.7640 0.3358 1.7640 1.3281
No log 2.2951 140 1.6427 0.3913 1.6427 1.2817
No log 2.3279 142 1.7077 0.3913 1.7077 1.3068
No log 2.3607 144 1.9392 0.2695 1.9392 1.3925
No log 2.3934 146 2.0295 0.2361 2.0295 1.4246
No log 2.4262 148 2.0700 0.2098 2.0700 1.4388
No log 2.4590 150 1.9890 0.2676 1.9890 1.4103
No log 2.4918 152 1.7362 0.3478 1.7362 1.3177
No log 2.5246 154 1.5558 0.4029 1.5558 1.2473
No log 2.5574 156 1.4587 0.4478 1.4587 1.2078
No log 2.5902 158 1.4836 0.4848 1.4836 1.2180
No log 2.6230 160 1.3559 0.5312 1.3559 1.1644
No log 2.6557 162 1.3029 0.496 1.3029 1.1414
No log 2.6885 164 1.2901 0.5161 1.2901 1.1358
No log 2.7213 166 1.3494 0.5079 1.3494 1.1616
No log 2.7541 168 1.5458 0.3852 1.5458 1.2433
No log 2.7869 170 1.6500 0.3066 1.6500 1.2845
No log 2.8197 172 1.7069 0.3000 1.7069 1.3065
No log 2.8525 174 1.7593 0.3000 1.7593 1.3264
No log 2.8852 176 1.9542 0.2897 1.9542 1.3979
No log 2.9180 178 2.1757 0.2803 2.1757 1.4750
No log 2.9508 180 2.1209 0.2727 2.1209 1.4563
No log 2.9836 182 1.8072 0.3194 1.8072 1.3443
No log 3.0164 184 1.6423 0.3546 1.6423 1.2815
No log 3.0492 186 1.6399 0.3022 1.6399 1.2806
No log 3.0820 188 1.7197 0.2979 1.7197 1.3114
No log 3.1148 190 1.7860 0.2857 1.7860 1.3364
No log 3.1475 192 1.7037 0.2979 1.7037 1.3053
No log 3.1803 194 1.5368 0.3852 1.5368 1.2397
No log 3.2131 196 1.5519 0.3971 1.5519 1.2457
No log 3.2459 198 1.7202 0.3239 1.7202 1.3116
No log 3.2787 200 1.7498 0.3239 1.7498 1.3228
No log 3.3115 202 1.6350 0.3824 1.6350 1.2787
No log 3.3443 204 1.5413 0.4812 1.5413 1.2415
No log 3.3770 206 1.4418 0.5116 1.4418 1.2008
No log 3.4098 208 1.4437 0.4885 1.4437 1.2015
No log 3.4426 210 1.5954 0.3731 1.5954 1.2631
No log 3.4754 212 1.6583 0.2878 1.6583 1.2877
No log 3.5082 214 1.6143 0.3429 1.6143 1.2706
No log 3.5410 216 1.4909 0.4148 1.4909 1.2210
No log 3.5738 218 1.4823 0.4091 1.4823 1.2175
No log 3.6066 220 1.5604 0.3358 1.5604 1.2492
No log 3.6393 222 1.7465 0.3022 1.7465 1.3215
No log 3.6721 224 1.7563 0.3022 1.7563 1.3252
No log 3.7049 226 1.6531 0.3165 1.6531 1.2857
No log 3.7377 228 1.6238 0.3066 1.6238 1.2743
No log 3.7705 230 1.5580 0.3817 1.5580 1.2482
No log 3.8033 232 1.4375 0.496 1.4375 1.1990
No log 3.8361 234 1.4879 0.4275 1.4879 1.2198
No log 3.8689 236 1.4615 0.5038 1.4615 1.2089
No log 3.9016 238 1.4027 0.4885 1.4027 1.1844
No log 3.9344 240 1.4455 0.4328 1.4455 1.2023
No log 3.9672 242 1.6591 0.3239 1.6591 1.2881
No log 4.0 244 1.9811 0.2621 1.9811 1.4075
No log 4.0328 246 1.9957 0.2069 1.9957 1.4127
No log 4.0656 248 1.7380 0.3121 1.7380 1.3183
No log 4.0984 250 1.4768 0.5 1.4768 1.2152
No log 4.1311 252 1.3648 0.5116 1.3648 1.1682
No log 4.1639 254 1.3423 0.5 1.3423 1.1586
No log 4.1967 256 1.4729 0.4296 1.4729 1.2136
No log 4.2295 258 1.4852 0.4328 1.4852 1.2187
No log 4.2623 260 1.2898 0.5312 1.2898 1.1357
No log 4.2951 262 1.1850 0.5806 1.1850 1.0886
No log 4.3279 264 1.2273 0.5323 1.2273 1.1078
No log 4.3607 266 1.3721 0.4885 1.3721 1.1714
No log 4.3934 268 1.3889 0.4848 1.3889 1.1785
No log 4.4262 270 1.3266 0.4733 1.3266 1.1518
No log 4.4590 272 1.3189 0.4733 1.3189 1.1484
No log 4.4918 274 1.5139 0.4148 1.5139 1.2304
No log 4.5246 276 1.6783 0.3121 1.6783 1.2955
No log 4.5574 278 1.6410 0.3309 1.6410 1.2810
No log 4.5902 280 1.5474 0.4806 1.5474 1.2439
No log 4.6230 282 1.5755 0.4882 1.5755 1.2552
No log 4.6557 284 1.6493 0.3937 1.6493 1.2842
No log 4.6885 286 1.7179 0.2878 1.7179 1.3107
No log 4.7213 288 1.7212 0.3121 1.7212 1.3120
No log 4.7541 290 1.5142 0.4118 1.5142 1.2305
No log 4.7869 292 1.4764 0.4328 1.4764 1.2151
No log 4.8197 294 1.6288 0.3309 1.6288 1.2763
No log 4.8525 296 1.8781 0.2394 1.8781 1.3704
No log 4.8852 298 1.8684 0.2394 1.8684 1.3669
No log 4.9180 300 1.6915 0.3188 1.6915 1.3006
No log 4.9508 302 1.6163 0.4328 1.6163 1.2713
No log 4.9836 304 1.6427 0.3382 1.6427 1.2817
No log 5.0164 306 1.6234 0.4 1.6234 1.2741
No log 5.0492 308 1.6859 0.3309 1.6859 1.2984
No log 5.0820 310 1.7668 0.2958 1.7668 1.3292
No log 5.1148 312 1.9410 0.2222 1.9410 1.3932
No log 5.1475 314 1.9042 0.2378 1.9042 1.3799
No log 5.1803 316 1.7662 0.2937 1.7662 1.3290
No log 5.2131 318 1.5807 0.4328 1.5807 1.2572
No log 5.2459 320 1.5526 0.4697 1.5526 1.2460
No log 5.2787 322 1.6436 0.3382 1.6436 1.2820
No log 5.3115 324 1.7006 0.3358 1.7006 1.3041
No log 5.3443 326 1.7250 0.3188 1.7250 1.3134
No log 5.3770 328 1.6664 0.3358 1.6664 1.2909
No log 5.4098 330 1.4664 0.4394 1.4664 1.2109
No log 5.4426 332 1.3524 0.4806 1.3524 1.1629
No log 5.4754 334 1.3714 0.4806 1.3714 1.1711
No log 5.5082 336 1.5186 0.4462 1.5186 1.2323
No log 5.5410 338 1.6669 0.3235 1.6669 1.2911
No log 5.5738 340 1.6092 0.3556 1.6092 1.2686
No log 5.6066 342 1.4302 0.4848 1.4302 1.1959
No log 5.6393 344 1.4649 0.4580 1.4649 1.2103
No log 5.6721 346 1.6683 0.3259 1.6683 1.2916
No log 5.7049 348 1.7769 0.2143 1.7769 1.3330
No log 5.7377 350 1.8174 0.2143 1.8174 1.3481
No log 5.7705 352 1.9002 0.1986 1.9002 1.3785
No log 5.8033 354 1.9119 0.1972 1.9119 1.3827
No log 5.8361 356 1.7336 0.3043 1.7336 1.3167
No log 5.8689 358 1.4941 0.4274 1.4941 1.2223
No log 5.9016 360 1.5116 0.2478 1.5116 1.2295
No log 5.9344 362 1.3659 0.4138 1.3659 1.1687
No log 5.9672 364 1.4541 0.5152 1.4541 1.2059
No log 6.0 366 1.6998 0.2734 1.6998 1.3038
No log 6.0328 368 1.7708 0.2734 1.7708 1.3307
No log 6.0656 370 1.5611 0.3664 1.5611 1.2495
No log 6.0984 372 1.3230 0.5000 1.3230 1.1502
No log 6.1311 374 1.2711 0.5238 1.2711 1.1274
No log 6.1639 376 1.3569 0.4724 1.3569 1.1649
No log 6.1967 378 1.5603 0.3459 1.5603 1.2491
No log 6.2295 380 1.6751 0.3066 1.6751 1.2942
No log 6.2623 382 1.6145 0.3407 1.6145 1.2706
No log 6.2951 384 1.6626 0.3099 1.6626 1.2894
No log 6.3279 386 1.7420 0.2778 1.7420 1.3198
No log 6.3607 388 1.6936 0.2774 1.6936 1.3014
No log 6.3934 390 1.6364 0.3485 1.6364 1.2792
No log 6.4262 392 1.6639 0.3664 1.6639 1.2899
No log 6.4590 394 1.6319 0.4 1.6319 1.2774
No log 6.4918 396 1.6621 0.3609 1.6621 1.2892
No log 6.5246 398 1.8101 0.2714 1.8101 1.3454
No log 6.5574 400 2.0347 0.1972 2.0347 1.4264
No log 6.5902 402 2.0315 0.1986 2.0315 1.4253
No log 6.6230 404 1.7865 0.2714 1.7865 1.3366
No log 6.6557 406 1.5614 0.4211 1.5614 1.2496
No log 6.6885 408 1.5297 0.4511 1.5297 1.2368
No log 6.7213 410 1.6479 0.3188 1.6479 1.2837
No log 6.7541 412 1.7690 0.3043 1.7690 1.3300
No log 6.7869 414 1.9336 0.2128 1.9336 1.3905
No log 6.8197 416 1.9029 0.2098 1.9029 1.3795
No log 6.8525 418 1.7164 0.3043 1.7164 1.3101
No log 6.8852 420 1.5579 0.4776 1.5579 1.2482
No log 6.9180 422 1.6228 0.4234 1.6228 1.2739
No log 6.9508 424 1.8788 0.2222 1.8788 1.3707
No log 6.9836 426 2.0193 0.2098 2.0193 1.4210
No log 7.0164 428 1.8596 0.2378 1.8596 1.3637
No log 7.0492 430 1.6038 0.3731 1.6038 1.2664
No log 7.0820 432 1.4917 0.4688 1.4917 1.2214
No log 7.1148 434 1.5724 0.3939 1.5724 1.2539
No log 7.1475 436 1.8316 0.2378 1.8316 1.3534
No log 7.1803 438 1.9286 0.2098 1.9286 1.3887
No log 7.2131 440 1.8702 0.2378 1.8702 1.3676
No log 7.2459 442 1.7413 0.2676 1.7413 1.3196
No log 7.2787 444 1.5432 0.4848 1.5432 1.2422
No log 7.3115 446 1.3723 0.5156 1.3723 1.1714
No log 7.3443 448 1.3409 0.5039 1.3409 1.1580
No log 7.3770 450 1.4064 0.5156 1.4064 1.1859
No log 7.4098 452 1.6242 0.3504 1.6242 1.2744
No log 7.4426 454 1.7866 0.2553 1.7866 1.3366
No log 7.4754 456 1.7380 0.2676 1.7380 1.3183
No log 7.5082 458 1.5251 0.3881 1.5251 1.2349
No log 7.5410 460 1.3567 0.5385 1.3567 1.1648
No log 7.5738 462 1.2636 0.5469 1.2636 1.1241
No log 7.6066 464 1.2875 0.5426 1.2875 1.1347
No log 7.6393 466 1.3891 0.4848 1.3891 1.1786
No log 7.6721 468 1.4442 0.4427 1.4442 1.2017
No log 7.7049 470 1.5490 0.3609 1.5490 1.2446
No log 7.7377 472 1.4974 0.4242 1.4974 1.2237
No log 7.7705 474 1.4685 0.4776 1.4685 1.2118
No log 7.8033 476 1.4783 0.4593 1.4783 1.2159
No log 7.8361 478 1.5477 0.4234 1.5477 1.2441
No log 7.8689 480 1.6910 0.3662 1.6910 1.3004
No log 7.9016 482 1.7176 0.3043 1.7176 1.3106
No log 7.9344 484 1.5953 0.4211 1.5953 1.2631
No log 7.9672 486 1.4582 0.4769 1.4582 1.2076
No log 8.0 488 1.3458 0.5197 1.3458 1.1601
No log 8.0328 490 1.3260 0.4882 1.3260 1.1515
No log 8.0656 492 1.4487 0.4848 1.4487 1.2036
No log 8.0984 494 1.7095 0.3022 1.7095 1.3075
No log 8.1311 496 1.8596 0.2254 1.8596 1.3637
No log 8.1639 498 1.7716 0.2553 1.7716 1.3310
0.4244 8.1967 500 1.5654 0.4 1.5654 1.2512
0.4244 8.2295 502 1.4371 0.5231 1.4371 1.1988
0.4244 8.2623 504 1.4187 0.5397 1.4187 1.1911
0.4244 8.2951 506 1.5152 0.4444 1.5152 1.2310
0.4244 8.3279 508 1.5619 0.3846 1.5619 1.2497
0.4244 8.3607 510 1.4812 0.4806 1.4812 1.2171
0.4244 8.3934 512 1.4198 0.4848 1.4198 1.1915
0.4244 8.4262 514 1.4476 0.4776 1.4476 1.2032
0.4244 8.4590 516 1.6277 0.3741 1.6277 1.2758
0.4244 8.4918 518 1.9233 0.2254 1.9233 1.3868
0.4244 8.5246 520 1.9630 0.2098 1.9630 1.4011
0.4244 8.5574 522 1.8404 0.2553 1.8404 1.3566
0.4244 8.5902 524 1.6973 0.3286 1.6973 1.3028

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_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k14_task1_organization

Finetuned
(4019)
this model