ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k11_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: 1.0648
  • Qwk: 0.2424
  • Mse: 1.0648
  • Rmse: 1.0319

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 0.0513 2 4.4530 -0.0191 4.4530 2.1102
No log 0.1026 4 2.6052 0.0141 2.6052 1.6141
No log 0.1538 6 2.9782 -0.1052 2.9782 1.7258
No log 0.2051 8 3.0674 -0.1182 3.0674 1.7514
No log 0.2564 10 1.9982 -0.0017 1.9982 1.4136
No log 0.3077 12 1.8491 -0.0017 1.8491 1.3598
No log 0.3590 14 1.8580 0.0372 1.8580 1.3631
No log 0.4103 16 1.6887 0.0372 1.6887 1.2995
No log 0.4615 18 1.5986 0.0372 1.5986 1.2644
No log 0.5128 20 1.5593 0.0372 1.5593 1.2487
No log 0.5641 22 1.3758 0.1838 1.3758 1.1729
No log 0.6154 24 1.2593 0.1262 1.2593 1.1222
No log 0.6667 26 1.5558 0.1141 1.5558 1.2473
No log 0.7179 28 2.7991 -0.0325 2.7991 1.6731
No log 0.7692 30 3.2963 -0.0310 3.2963 1.8156
No log 0.8205 32 2.4233 0.0215 2.4233 1.5567
No log 0.8718 34 1.4623 0.1021 1.4623 1.2093
No log 0.9231 36 1.2351 0.1556 1.2351 1.1113
No log 0.9744 38 1.2159 0.1732 1.2159 1.1027
No log 1.0256 40 1.2198 0.1271 1.2198 1.1044
No log 1.0769 42 1.3326 0.1711 1.3326 1.1544
No log 1.1282 44 1.6220 0.1109 1.6220 1.2736
No log 1.1795 46 1.6213 0.1109 1.6213 1.2733
No log 1.2308 48 1.4906 0.1460 1.4906 1.2209
No log 1.2821 50 1.3852 0.1858 1.3852 1.1770
No log 1.3333 52 1.3537 0.1619 1.3537 1.1635
No log 1.3846 54 1.3418 0.2388 1.3418 1.1584
No log 1.4359 56 1.2888 0.1655 1.2888 1.1352
No log 1.4872 58 1.2838 0.1852 1.2838 1.1331
No log 1.5385 60 1.4337 0.2690 1.4337 1.1974
No log 1.5897 62 1.3877 0.3340 1.3877 1.1780
No log 1.6410 64 1.2077 0.2391 1.2077 1.0989
No log 1.6923 66 1.1165 0.2814 1.1165 1.0566
No log 1.7436 68 1.1041 0.2918 1.1041 1.0508
No log 1.7949 70 1.2030 0.2881 1.2030 1.0968
No log 1.8462 72 1.1640 0.2760 1.1640 1.0789
No log 1.8974 74 1.1185 0.2777 1.1185 1.0576
No log 1.9487 76 1.1475 0.2891 1.1475 1.0712
No log 2.0 78 1.2467 0.2457 1.2467 1.1165
No log 2.0513 80 1.2324 0.2062 1.2324 1.1101
No log 2.1026 82 1.2166 0.1743 1.2166 1.1030
No log 2.1538 84 1.2454 0.1979 1.2454 1.1160
No log 2.2051 86 1.1585 0.2734 1.1585 1.0763
No log 2.2564 88 1.0672 0.3056 1.0672 1.0330
No log 2.3077 90 1.1819 0.3330 1.1819 1.0872
No log 2.3590 92 1.2535 0.3595 1.2535 1.1196
No log 2.4103 94 1.3331 0.3042 1.3331 1.1546
No log 2.4615 96 1.4754 0.2430 1.4754 1.2146
No log 2.5128 98 1.4603 0.2717 1.4603 1.2084
No log 2.5641 100 1.3016 0.3192 1.3016 1.1409
No log 2.6154 102 1.0860 0.2991 1.0860 1.0421
No log 2.6667 104 1.1586 0.3165 1.1586 1.0764
No log 2.7179 106 1.1175 0.3455 1.1175 1.0571
No log 2.7692 108 1.0915 0.2654 1.0915 1.0447
No log 2.8205 110 1.3555 0.1891 1.3555 1.1642
No log 2.8718 112 1.3795 0.1848 1.3795 1.1745
No log 2.9231 114 1.1931 0.2984 1.1931 1.0923
No log 2.9744 116 1.1215 0.2622 1.1215 1.0590
No log 3.0256 118 1.1428 0.2732 1.1428 1.0690
No log 3.0769 120 1.2264 0.2895 1.2264 1.1074
No log 3.1282 122 1.2205 0.2919 1.2205 1.1047
No log 3.1795 124 1.1297 0.2877 1.1297 1.0629
No log 3.2308 126 1.1476 0.3846 1.1476 1.0713
No log 3.2821 128 1.1103 0.3870 1.1103 1.0537
No log 3.3333 130 1.0989 0.3262 1.0989 1.0483
No log 3.3846 132 1.1575 0.2806 1.1575 1.0759
No log 3.4359 134 1.1042 0.2685 1.1042 1.0508
No log 3.4872 136 1.0694 0.2871 1.0694 1.0341
No log 3.5385 138 1.1003 0.2993 1.1003 1.0490
No log 3.5897 140 1.1221 0.2712 1.1221 1.0593
No log 3.6410 142 1.4418 0.2292 1.4418 1.2008
No log 3.6923 144 1.5965 0.2489 1.5965 1.2635
No log 3.7436 146 1.3691 0.3050 1.3691 1.1701
No log 3.7949 148 1.2720 0.3254 1.2720 1.1278
No log 3.8462 150 1.2930 0.3175 1.2930 1.1371
No log 3.8974 152 1.1884 0.3036 1.1884 1.0901
No log 3.9487 154 1.2426 0.3404 1.2426 1.1147
No log 4.0 156 1.3072 0.2574 1.3072 1.1433
No log 4.0513 158 1.1592 0.3665 1.1592 1.0767
No log 4.1026 160 1.0503 0.3648 1.0503 1.0248
No log 4.1538 162 1.0472 0.3458 1.0472 1.0233
No log 4.2051 164 1.0568 0.3059 1.0568 1.0280
No log 4.2564 166 1.0767 0.2730 1.0767 1.0376
No log 4.3077 168 1.0601 0.2730 1.0601 1.0296
No log 4.3590 170 1.0310 0.4159 1.0310 1.0154
No log 4.4103 172 1.0568 0.3724 1.0568 1.0280
No log 4.4615 174 1.0875 0.3811 1.0875 1.0429
No log 4.5128 176 1.1750 0.3753 1.1750 1.0840
No log 4.5641 178 1.2254 0.3994 1.2254 1.1070
No log 4.6154 180 1.1661 0.3374 1.1661 1.0799
No log 4.6667 182 1.2196 0.3165 1.2196 1.1044
No log 4.7179 184 1.1431 0.3061 1.1431 1.0692
No log 4.7692 186 1.0443 0.4160 1.0443 1.0219
No log 4.8205 188 1.0927 0.3595 1.0927 1.0453
No log 4.8718 190 1.2537 0.3275 1.2537 1.1197
No log 4.9231 192 1.3027 0.2353 1.3027 1.1413
No log 4.9744 194 1.1689 0.3601 1.1689 1.0812
No log 5.0256 196 1.0648 0.3010 1.0648 1.0319
No log 5.0769 198 1.0854 0.3655 1.0854 1.0418
No log 5.1282 200 1.0820 0.3193 1.0820 1.0402
No log 5.1795 202 1.0663 0.3490 1.0663 1.0326
No log 5.2308 204 1.0549 0.3881 1.0549 1.0271
No log 5.2821 206 1.0543 0.3555 1.0543 1.0268
No log 5.3333 208 1.0514 0.3463 1.0514 1.0254
No log 5.3846 210 1.0245 0.4708 1.0245 1.0122
No log 5.4359 212 1.1716 0.3765 1.1716 1.0824
No log 5.4872 214 1.5543 0.1929 1.5543 1.2467
No log 5.5385 216 1.5992 0.1815 1.5992 1.2646
No log 5.5897 218 1.3037 0.3002 1.3037 1.1418
No log 5.6410 220 1.0894 0.3950 1.0894 1.0437
No log 5.6923 222 1.2366 0.2568 1.2366 1.1120
No log 5.7436 224 1.2416 0.2885 1.2416 1.1143
No log 5.7949 226 1.0825 0.3262 1.0825 1.0404
No log 5.8462 228 1.0582 0.3430 1.0582 1.0287
No log 5.8974 230 1.1035 0.2838 1.1035 1.0505
No log 5.9487 232 1.0914 0.3172 1.0914 1.0447
No log 6.0 234 1.0604 0.2995 1.0604 1.0297
No log 6.0513 236 1.0607 0.3607 1.0607 1.0299
No log 6.1026 238 1.1025 0.3052 1.1025 1.0500
No log 6.1538 240 1.0591 0.2699 1.0591 1.0291
No log 6.2051 242 1.0021 0.3399 1.0021 1.0010
No log 6.2564 244 1.0260 0.3300 1.0260 1.0129
No log 6.3077 246 1.0195 0.3565 1.0195 1.0097
No log 6.3590 248 1.0193 0.2012 1.0193 1.0096
No log 6.4103 250 1.1734 0.3348 1.1734 1.0833
No log 6.4615 252 1.4523 0.2981 1.4523 1.2051
No log 6.5128 254 1.5151 0.2778 1.5151 1.2309
No log 6.5641 256 1.2829 0.2961 1.2829 1.1326
No log 6.6154 258 1.0671 0.3329 1.0671 1.0330
No log 6.6667 260 1.1112 0.2955 1.1112 1.0541
No log 6.7179 262 1.1124 0.3187 1.1124 1.0547
No log 6.7692 264 1.0487 0.3059 1.0487 1.0241
No log 6.8205 266 1.1732 0.3395 1.1732 1.0832
No log 6.8718 268 1.5765 0.3121 1.5765 1.2556
No log 6.9231 270 1.7210 0.2628 1.7210 1.3119
No log 6.9744 272 1.5053 0.3191 1.5053 1.2269
No log 7.0256 274 1.1814 0.3307 1.1814 1.0869
No log 7.0769 276 1.0341 0.3194 1.0341 1.0169
No log 7.1282 278 1.0173 0.3486 1.0173 1.0086
No log 7.1795 280 0.9932 0.3014 0.9932 0.9966
No log 7.2308 282 1.0147 0.3665 1.0147 1.0073
No log 7.2821 284 1.0575 0.3624 1.0575 1.0283
No log 7.3333 286 1.1288 0.3267 1.1288 1.0624
No log 7.3846 288 1.0896 0.3521 1.0896 1.0439
No log 7.4359 290 1.0382 0.3846 1.0382 1.0189
No log 7.4872 292 1.0528 0.3418 1.0528 1.0261
No log 7.5385 294 1.0696 0.3505 1.0696 1.0342
No log 7.5897 296 1.1505 0.3280 1.1505 1.0726
No log 7.6410 298 1.2832 0.2961 1.2832 1.1328
No log 7.6923 300 1.2402 0.3202 1.2402 1.1136
No log 7.7436 302 1.0985 0.3519 1.0985 1.0481
No log 7.7949 304 1.0383 0.3537 1.0383 1.0189
No log 7.8462 306 1.0411 0.3537 1.0411 1.0204
No log 7.8974 308 1.0471 0.3205 1.0471 1.0233
No log 7.9487 310 1.0604 0.3205 1.0604 1.0298
No log 8.0 312 1.0658 0.3205 1.0658 1.0324
No log 8.0513 314 1.0597 0.2697 1.0597 1.0294
No log 8.1026 316 1.0687 0.3179 1.0687 1.0338
No log 8.1538 318 1.1059 0.2432 1.1059 1.0516
No log 8.2051 320 1.0982 0.2891 1.0982 1.0480
No log 8.2564 322 1.0621 0.2495 1.0621 1.0306
No log 8.3077 324 1.0727 0.2169 1.0727 1.0357
No log 8.3590 326 1.0718 0.2259 1.0718 1.0353
No log 8.4103 328 1.0983 0.2624 1.0983 1.0480
No log 8.4615 330 1.0725 0.2259 1.0725 1.0356
No log 8.5128 332 1.0303 0.3539 1.0303 1.0150
No log 8.5641 334 1.0385 0.3908 1.0385 1.0191
No log 8.6154 336 1.0330 0.3392 1.0330 1.0164
No log 8.6667 338 1.0423 0.3493 1.0423 1.0209
No log 8.7179 340 1.0329 0.3493 1.0329 1.0163
No log 8.7692 342 1.0467 0.3345 1.0467 1.0231
No log 8.8205 344 1.0489 0.3957 1.0489 1.0242
No log 8.8718 346 0.9967 0.3796 0.9967 0.9983
No log 8.9231 348 0.9724 0.4081 0.9724 0.9861
No log 8.9744 350 0.9663 0.3948 0.9663 0.9830
No log 9.0256 352 0.9677 0.4628 0.9677 0.9837
No log 9.0769 354 1.0103 0.4482 1.0103 1.0051
No log 9.1282 356 1.0061 0.4482 1.0061 1.0030
No log 9.1795 358 0.9786 0.4548 0.9786 0.9892
No log 9.2308 360 0.9997 0.3243 0.9997 0.9999
No log 9.2821 362 1.0167 0.3149 1.0167 1.0083
No log 9.3333 364 0.9958 0.2730 0.9958 0.9979
No log 9.3846 366 1.0284 0.4002 1.0284 1.0141
No log 9.4359 368 1.0690 0.3396 1.0690 1.0339
No log 9.4872 370 1.0442 0.3695 1.0442 1.0219
No log 9.5385 372 1.0630 0.2795 1.0630 1.0310
No log 9.5897 374 1.1207 0.3218 1.1207 1.0586
No log 9.6410 376 1.0987 0.2748 1.0987 1.0482
No log 9.6923 378 1.0544 0.2358 1.0544 1.0269
No log 9.7436 380 1.0571 0.2306 1.0571 1.0281
No log 9.7949 382 1.0726 0.2505 1.0726 1.0357
No log 9.8462 384 1.1339 0.2611 1.1339 1.0648
No log 9.8974 386 1.1079 0.2920 1.1079 1.0526
No log 9.9487 388 1.0548 0.2851 1.0548 1.0270
No log 10.0 390 1.0409 0.2505 1.0409 1.0202
No log 10.0513 392 1.0315 0.2555 1.0315 1.0156
No log 10.1026 394 1.0174 0.2697 1.0174 1.0087
No log 10.1538 396 1.0231 0.2764 1.0231 1.0115
No log 10.2051 398 1.0413 0.3157 1.0413 1.0204
No log 10.2564 400 1.0294 0.2766 1.0294 1.0146
No log 10.3077 402 1.0180 0.3014 1.0180 1.0090
No log 10.3590 404 1.0176 0.3137 1.0176 1.0088
No log 10.4103 406 1.0377 0.2966 1.0377 1.0187
No log 10.4615 408 1.0418 0.2682 1.0418 1.0207
No log 10.5128 410 1.0519 0.3415 1.0519 1.0256
No log 10.5641 412 1.1120 0.3275 1.1120 1.0545
No log 10.6154 414 1.1307 0.2654 1.1307 1.0633
No log 10.6667 416 1.0949 0.3729 1.0949 1.0464
No log 10.7179 418 1.0506 0.2629 1.0506 1.0250
No log 10.7692 420 1.0814 0.2637 1.0814 1.0399
No log 10.8205 422 1.1315 0.3415 1.1315 1.0637
No log 10.8718 424 1.0961 0.3736 1.0961 1.0469
No log 10.9231 426 1.0294 0.2697 1.0294 1.0146
No log 10.9744 428 1.0135 0.2550 1.0135 1.0067
No log 11.0256 430 1.0107 0.2697 1.0107 1.0053
No log 11.0769 432 1.0468 0.4023 1.0468 1.0231
No log 11.1282 434 1.0587 0.3972 1.0587 1.0289
No log 11.1795 436 1.0029 0.3059 1.0029 1.0014
No log 11.2308 438 1.0037 0.3663 1.0037 1.0018
No log 11.2821 440 1.0085 0.3762 1.0085 1.0043
No log 11.3333 442 0.9980 0.2871 0.9980 0.9990
No log 11.3846 444 1.0322 0.3981 1.0322 1.0160
No log 11.4359 446 1.0412 0.4076 1.0412 1.0204
No log 11.4872 448 1.0267 0.3059 1.0267 1.0133
No log 11.5385 450 1.0025 0.3250 1.0025 1.0012
No log 11.5897 452 0.9948 0.2966 0.9948 0.9974
No log 11.6410 454 0.9951 0.3458 0.9951 0.9976
No log 11.6923 456 0.9930 0.3554 0.9930 0.9965
No log 11.7436 458 0.9892 0.3346 0.9892 0.9946
No log 11.7949 460 1.0140 0.3476 1.0140 1.0070
No log 11.8462 462 1.0179 0.3476 1.0179 1.0089
No log 11.8974 464 1.0035 0.3199 1.0035 1.0018
No log 11.9487 466 0.9905 0.3390 0.9905 0.9952
No log 12.0 468 0.9986 0.3338 0.9986 0.9993
No log 12.0513 470 0.9937 0.3668 0.9937 0.9968
No log 12.1026 472 0.9947 0.3541 0.9947 0.9973
No log 12.1538 474 1.0086 0.3639 1.0086 1.0043
No log 12.2051 476 1.0221 0.3113 1.0221 1.0110
No log 12.2564 478 1.0421 0.3301 1.0421 1.0208
No log 12.3077 480 1.0649 0.3250 1.0649 1.0319
No log 12.3590 482 1.0962 0.3213 1.0962 1.0470
No log 12.4103 484 1.1378 0.3389 1.1378 1.0667
No log 12.4615 486 1.1327 0.3207 1.1327 1.0643
No log 12.5128 488 1.0557 0.3126 1.0557 1.0275
No log 12.5641 490 1.0215 0.4064 1.0215 1.0107
No log 12.6154 492 1.0083 0.3747 1.0083 1.0041
No log 12.6667 494 1.0176 0.3541 1.0176 1.0088
No log 12.7179 496 1.0525 0.3149 1.0525 1.0259
No log 12.7692 498 1.0905 0.2640 1.0905 1.0443
0.3255 12.8205 500 1.0472 0.3476 1.0472 1.0233
0.3255 12.8718 502 1.0011 0.4122 1.0011 1.0005
0.3255 12.9231 504 1.0037 0.3858 1.0037 1.0018
0.3255 12.9744 506 0.9981 0.4122 0.9981 0.9991
0.3255 13.0256 508 1.0670 0.3624 1.0670 1.0329
0.3255 13.0769 510 1.1473 0.2757 1.1473 1.0711
0.3255 13.1282 512 1.0831 0.3314 1.0831 1.0407
0.3255 13.1795 514 1.0449 0.3287 1.0449 1.0222
0.3255 13.2308 516 1.0230 0.3338 1.0230 1.0114
0.3255 13.2821 518 0.9940 0.3541 0.9940 0.9970
0.3255 13.3333 520 0.9841 0.3497 0.9841 0.9920
0.3255 13.3846 522 0.9745 0.3256 0.9745 0.9872
0.3255 13.4359 524 0.9864 0.3529 0.9864 0.9932
0.3255 13.4872 526 1.0044 0.3321 1.0044 1.0022
0.3255 13.5385 528 1.0023 0.3321 1.0023 1.0011
0.3255 13.5897 530 1.0013 0.2892 1.0013 1.0007
0.3255 13.6410 532 1.0021 0.3086 1.0021 1.0010
0.3255 13.6923 534 1.0070 0.3639 1.0070 1.0035
0.3255 13.7436 536 1.0198 0.3639 1.0198 1.0098
0.3255 13.7949 538 1.0453 0.3346 1.0453 1.0224
0.3255 13.8462 540 1.0909 0.3199 1.0909 1.0445
0.3255 13.8974 542 1.1346 0.2942 1.1346 1.0652
0.3255 13.9487 544 1.0902 0.3154 1.0902 1.0441
0.3255 14.0 546 1.0648 0.2424 1.0648 1.0319

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
2
Safetensors
Model size
135M params
Tensor type
F32
ยท
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k11_task2_organization

Finetuned
(4005)
this model