ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k16_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: 0.7459
  • Qwk: 0.6350
  • Mse: 0.7459
  • Rmse: 0.8637

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 0.0253 2 5.3392 -0.0006 5.3392 2.3107
No log 0.0506 4 3.3623 0.0701 3.3623 1.8336
No log 0.0759 6 1.9687 0.1294 1.9687 1.4031
No log 0.1013 8 1.5301 0.0913 1.5301 1.2370
No log 0.1266 10 1.5788 -0.0169 1.5788 1.2565
No log 0.1519 12 1.3183 0.1201 1.3183 1.1482
No log 0.1772 14 1.3101 0.1037 1.3101 1.1446
No log 0.2025 16 1.5863 -0.1097 1.5863 1.2595
No log 0.2278 18 2.1017 -0.0953 2.1017 1.4497
No log 0.2532 20 1.8610 -0.0037 1.8610 1.3642
No log 0.2785 22 1.3674 0.0678 1.3674 1.1693
No log 0.3038 24 1.1934 0.3378 1.1934 1.0924
No log 0.3291 26 1.1446 0.2773 1.1446 1.0699
No log 0.3544 28 1.1433 0.2939 1.1433 1.0692
No log 0.3797 30 1.1399 0.3185 1.1399 1.0677
No log 0.4051 32 1.1937 0.2245 1.1937 1.0926
No log 0.4304 34 1.2914 0.1737 1.2914 1.1364
No log 0.4557 36 1.2914 0.1481 1.2914 1.1364
No log 0.4810 38 1.1982 0.2469 1.1982 1.0946
No log 0.5063 40 1.1735 0.2694 1.1735 1.0833
No log 0.5316 42 1.2580 0.1194 1.2580 1.1216
No log 0.5570 44 1.7819 0.0298 1.7819 1.3349
No log 0.5823 46 2.0894 0.0480 2.0894 1.4455
No log 0.6076 48 2.0698 0.0806 2.0698 1.4387
No log 0.6329 50 1.7312 0.0817 1.7312 1.3158
No log 0.6582 52 1.2893 0.2251 1.2893 1.1355
No log 0.6835 54 1.0831 0.2850 1.0831 1.0407
No log 0.7089 56 1.0634 0.3358 1.0634 1.0312
No log 0.7342 58 1.0312 0.3013 1.0312 1.0155
No log 0.7595 60 1.1604 0.2152 1.1604 1.0772
No log 0.7848 62 1.4047 0.2257 1.4047 1.1852
No log 0.8101 64 1.4558 0.2491 1.4558 1.2066
No log 0.8354 66 1.3166 0.2468 1.3166 1.1474
No log 0.8608 68 1.1378 0.3167 1.1378 1.0667
No log 0.8861 70 1.0396 0.4062 1.0396 1.0196
No log 0.9114 72 1.0845 0.4077 1.0845 1.0414
No log 0.9367 74 1.3512 0.2791 1.3512 1.1624
No log 0.9620 76 1.3933 0.3228 1.3933 1.1804
No log 0.9873 78 1.3164 0.3428 1.3164 1.1474
No log 1.0127 80 1.1091 0.4700 1.1091 1.0531
No log 1.0380 82 0.8652 0.5179 0.8652 0.9302
No log 1.0633 84 0.8086 0.5318 0.8086 0.8992
No log 1.0886 86 0.8322 0.5070 0.8322 0.9123
No log 1.1139 88 0.8391 0.5296 0.8391 0.9160
No log 1.1392 90 0.8544 0.5329 0.8544 0.9243
No log 1.1646 92 0.8555 0.5020 0.8555 0.9249
No log 1.1899 94 0.9271 0.5239 0.9271 0.9629
No log 1.2152 96 1.1139 0.4755 1.1139 1.0554
No log 1.2405 98 1.5474 0.3593 1.5474 1.2439
No log 1.2658 100 1.7552 0.3153 1.7552 1.3248
No log 1.2911 102 1.4684 0.4217 1.4684 1.2118
No log 1.3165 104 1.1235 0.4447 1.1235 1.0599
No log 1.3418 106 0.8955 0.4986 0.8955 0.9463
No log 1.3671 108 0.8484 0.4524 0.8484 0.9211
No log 1.3924 110 0.8105 0.4985 0.8105 0.9003
No log 1.4177 112 0.7764 0.4809 0.7764 0.8811
No log 1.4430 114 0.7600 0.4965 0.7600 0.8718
No log 1.4684 116 0.7628 0.5789 0.7628 0.8734
No log 1.4937 118 0.8533 0.5063 0.8533 0.9237
No log 1.5190 120 0.8787 0.5063 0.8787 0.9374
No log 1.5443 122 0.8223 0.5772 0.8223 0.9068
No log 1.5696 124 0.7681 0.5513 0.7681 0.8764
No log 1.5949 126 0.7794 0.5173 0.7794 0.8829
No log 1.6203 128 0.7482 0.5502 0.7482 0.8650
No log 1.6456 130 0.7273 0.6231 0.7273 0.8528
No log 1.6709 132 0.7727 0.6171 0.7727 0.8791
No log 1.6962 134 0.7301 0.6442 0.7301 0.8545
No log 1.7215 136 0.7667 0.5502 0.7667 0.8756
No log 1.7468 138 0.8315 0.5481 0.8315 0.9118
No log 1.7722 140 0.9626 0.5238 0.9626 0.9811
No log 1.7975 142 0.8811 0.5093 0.8811 0.9387
No log 1.8228 144 0.7758 0.5276 0.7758 0.8808
No log 1.8481 146 0.8239 0.5442 0.8239 0.9077
No log 1.8734 148 0.8042 0.5581 0.8042 0.8968
No log 1.8987 150 0.7514 0.5873 0.7514 0.8669
No log 1.9241 152 0.7218 0.5768 0.7218 0.8496
No log 1.9494 154 0.7188 0.5920 0.7188 0.8478
No log 1.9747 156 0.7699 0.6288 0.7699 0.8774
No log 2.0 158 0.7602 0.6120 0.7602 0.8719
No log 2.0253 160 0.6883 0.6456 0.6883 0.8297
No log 2.0506 162 0.7084 0.6484 0.7084 0.8417
No log 2.0759 164 0.7713 0.6501 0.7713 0.8782
No log 2.1013 166 0.8215 0.6268 0.8215 0.9064
No log 2.1266 168 0.7379 0.6550 0.7379 0.8590
No log 2.1519 170 0.7554 0.6343 0.7554 0.8691
No log 2.1772 172 0.7438 0.6703 0.7438 0.8625
No log 2.2025 174 0.8224 0.5900 0.8224 0.9069
No log 2.2278 176 0.9167 0.5944 0.9167 0.9575
No log 2.2532 178 0.9318 0.5782 0.9317 0.9653
No log 2.2785 180 0.8124 0.6135 0.8124 0.9013
No log 2.3038 182 0.7778 0.6085 0.7778 0.8819
No log 2.3291 184 0.7466 0.6180 0.7466 0.8641
No log 2.3544 186 0.7216 0.5881 0.7216 0.8495
No log 2.3797 188 0.7352 0.6160 0.7352 0.8575
No log 2.4051 190 0.6957 0.6689 0.6957 0.8341
No log 2.4304 192 0.7275 0.6548 0.7275 0.8529
No log 2.4557 194 0.7590 0.6592 0.7590 0.8712
No log 2.4810 196 0.6754 0.6640 0.6754 0.8218
No log 2.5063 198 0.6710 0.6578 0.6710 0.8191
No log 2.5316 200 0.6678 0.6569 0.6678 0.8172
No log 2.5570 202 0.6800 0.6752 0.6800 0.8247
No log 2.5823 204 0.7044 0.6681 0.7044 0.8393
No log 2.6076 206 0.7057 0.6721 0.7057 0.8400
No log 2.6329 208 0.6864 0.6525 0.6864 0.8285
No log 2.6582 210 0.6883 0.6352 0.6883 0.8296
No log 2.6835 212 0.6762 0.6581 0.6762 0.8223
No log 2.7089 214 0.7318 0.5993 0.7318 0.8554
No log 2.7342 216 0.8810 0.6051 0.8810 0.9386
No log 2.7595 218 0.8901 0.6155 0.8901 0.9434
No log 2.7848 220 0.7806 0.5969 0.7806 0.8835
No log 2.8101 222 0.7460 0.6276 0.7460 0.8637
No log 2.8354 224 0.6880 0.6792 0.6880 0.8295
No log 2.8608 226 0.6757 0.6432 0.6757 0.8220
No log 2.8861 228 0.7096 0.6692 0.7096 0.8424
No log 2.9114 230 0.8332 0.6212 0.8332 0.9128
No log 2.9367 232 0.8209 0.6675 0.8209 0.9060
No log 2.9620 234 0.7796 0.6607 0.7796 0.8830
No log 2.9873 236 0.7185 0.6664 0.7185 0.8477
No log 3.0127 238 0.6964 0.6776 0.6964 0.8345
No log 3.0380 240 0.7393 0.6288 0.7393 0.8599
No log 3.0633 242 0.8039 0.5811 0.8039 0.8966
No log 3.0886 244 0.7467 0.5811 0.7467 0.8641
No log 3.1139 246 0.7155 0.6401 0.7155 0.8459
No log 3.1392 248 0.7107 0.6446 0.7107 0.8430
No log 3.1646 250 0.7237 0.6391 0.7237 0.8507
No log 3.1899 252 0.8010 0.6209 0.8010 0.8950
No log 3.2152 254 0.7424 0.6248 0.7424 0.8616
No log 3.2405 256 0.6718 0.6775 0.6718 0.8196
No log 3.2658 258 0.6852 0.6449 0.6852 0.8277
No log 3.2911 260 0.6960 0.6610 0.6960 0.8342
No log 3.3165 262 0.7238 0.6347 0.7238 0.8508
No log 3.3418 264 0.7145 0.6440 0.7145 0.8453
No log 3.3671 266 0.6898 0.6790 0.6898 0.8305
No log 3.3924 268 0.6962 0.6759 0.6962 0.8344
No log 3.4177 270 0.7853 0.6703 0.7853 0.8862
No log 3.4430 272 0.8837 0.6267 0.8837 0.9401
No log 3.4684 274 0.8365 0.6283 0.8365 0.9146
No log 3.4937 276 0.7226 0.6732 0.7226 0.8501
No log 3.5190 278 0.7452 0.6829 0.7452 0.8632
No log 3.5443 280 0.7568 0.6863 0.7568 0.8699
No log 3.5696 282 0.7372 0.7060 0.7372 0.8586
No log 3.5949 284 0.7638 0.6941 0.7638 0.8740
No log 3.6203 286 0.6844 0.6833 0.6844 0.8273
No log 3.6456 288 0.6906 0.6921 0.6906 0.8310
No log 3.6709 290 0.7709 0.6732 0.7709 0.8780
No log 3.6962 292 0.7299 0.6713 0.7299 0.8544
No log 3.7215 294 0.6445 0.6691 0.6445 0.8028
No log 3.7468 296 0.6414 0.6993 0.6414 0.8009
No log 3.7722 298 0.6360 0.6722 0.6360 0.7975
No log 3.7975 300 0.7197 0.7028 0.7197 0.8484
No log 3.8228 302 0.7820 0.6921 0.7820 0.8843
No log 3.8481 304 0.7125 0.7028 0.7125 0.8441
No log 3.8734 306 0.6624 0.7105 0.6624 0.8139
No log 3.8987 308 0.6585 0.7023 0.6585 0.8115
No log 3.9241 310 0.7046 0.6800 0.7046 0.8394
No log 3.9494 312 0.7052 0.6571 0.7052 0.8398
No log 3.9747 314 0.7824 0.6303 0.7824 0.8846
No log 4.0 316 0.9384 0.5403 0.9384 0.9687
No log 4.0253 318 1.2207 0.4770 1.2207 1.1049
No log 4.0506 320 1.1849 0.4829 1.1849 1.0886
No log 4.0759 322 0.9060 0.5386 0.9060 0.9519
No log 4.1013 324 0.7851 0.6190 0.7851 0.8860
No log 4.1266 326 0.8031 0.5995 0.8031 0.8961
No log 4.1519 328 0.9885 0.5260 0.9885 0.9942
No log 4.1772 330 1.0429 0.5311 1.0429 1.0212
No log 4.2025 332 0.9668 0.5488 0.9668 0.9832
No log 4.2278 334 0.7924 0.5800 0.7924 0.8902
No log 4.2532 336 0.6568 0.6672 0.6568 0.8104
No log 4.2785 338 0.6433 0.6815 0.6433 0.8020
No log 4.3038 340 0.6520 0.6782 0.6520 0.8075
No log 4.3291 342 0.7203 0.6750 0.7203 0.8487
No log 4.3544 344 0.8032 0.6477 0.8032 0.8962
No log 4.3797 346 0.7856 0.6684 0.7856 0.8864
No log 4.4051 348 0.7812 0.6609 0.7812 0.8838
No log 4.4304 350 0.7658 0.6664 0.7658 0.8751
No log 4.4557 352 0.7937 0.6739 0.7937 0.8909
No log 4.4810 354 0.8848 0.6384 0.8848 0.9407
No log 4.5063 356 1.0304 0.4958 1.0304 1.0151
No log 4.5316 358 1.0813 0.4979 1.0813 1.0399
No log 4.5570 360 1.1837 0.4409 1.1837 1.0880
No log 4.5823 362 1.1301 0.4732 1.1301 1.0630
No log 4.6076 364 0.9393 0.5466 0.9393 0.9692
No log 4.6329 366 0.7597 0.5824 0.7597 0.8716
No log 4.6582 368 0.6698 0.6632 0.6698 0.8184
No log 4.6835 370 0.6793 0.6674 0.6793 0.8242
No log 4.7089 372 0.7758 0.6350 0.7758 0.8808
No log 4.7342 374 0.9169 0.5890 0.9169 0.9576
No log 4.7595 376 0.8724 0.5952 0.8724 0.9340
No log 4.7848 378 0.7104 0.6555 0.7104 0.8429
No log 4.8101 380 0.6439 0.7000 0.6439 0.8024
No log 4.8354 382 0.6440 0.6704 0.6440 0.8025
No log 4.8608 384 0.6638 0.6672 0.6638 0.8147
No log 4.8861 386 0.7176 0.6444 0.7176 0.8471
No log 4.9114 388 0.7291 0.6203 0.7291 0.8538
No log 4.9367 390 0.7787 0.5618 0.7787 0.8824
No log 4.9620 392 0.7839 0.5663 0.7839 0.8854
No log 4.9873 394 0.7636 0.6255 0.7636 0.8738
No log 5.0127 396 0.7974 0.6099 0.7974 0.8930
No log 5.0380 398 1.0441 0.5395 1.0441 1.0218
No log 5.0633 400 1.1438 0.5387 1.1438 1.0695
No log 5.0886 402 0.9744 0.5767 0.9744 0.9871
No log 5.1139 404 0.8213 0.5847 0.8213 0.9063
No log 5.1392 406 0.8513 0.5664 0.8513 0.9227
No log 5.1646 408 0.8127 0.5570 0.8127 0.9015
No log 5.1899 410 0.7949 0.5582 0.7949 0.8916
No log 5.2152 412 0.8695 0.5209 0.8695 0.9324
No log 5.2405 414 0.8229 0.5717 0.8229 0.9072
No log 5.2658 416 0.6770 0.7015 0.6770 0.8228
No log 5.2911 418 0.6120 0.7099 0.6120 0.7823
No log 5.3165 420 0.6238 0.7071 0.6238 0.7898
No log 5.3418 422 0.6568 0.7074 0.6568 0.8104
No log 5.3671 424 0.6928 0.6929 0.6928 0.8323
No log 5.3924 426 0.6996 0.6703 0.6996 0.8364
No log 5.4177 428 0.7370 0.6754 0.7370 0.8585
No log 5.4430 430 0.8709 0.5691 0.8709 0.9332
No log 5.4684 432 0.8705 0.5331 0.8705 0.9330
No log 5.4937 434 0.7326 0.6463 0.7326 0.8559
No log 5.5190 436 0.6725 0.7105 0.6725 0.8201
No log 5.5443 438 0.6993 0.6846 0.6993 0.8362
No log 5.5696 440 0.8494 0.6032 0.8494 0.9216
No log 5.5949 442 0.9076 0.5434 0.9076 0.9527
No log 5.6203 444 0.9135 0.5424 0.9135 0.9558
No log 5.6456 446 0.8438 0.5919 0.8438 0.9186
No log 5.6709 448 0.9036 0.5605 0.9036 0.9506
No log 5.6962 450 0.9445 0.5681 0.9445 0.9719
No log 5.7215 452 0.8537 0.5930 0.8537 0.9240
No log 5.7468 454 0.6908 0.6791 0.6908 0.8311
No log 5.7722 456 0.6370 0.6850 0.6370 0.7981
No log 5.7975 458 0.6596 0.6888 0.6596 0.8122
No log 5.8228 460 0.8235 0.6180 0.8235 0.9075
No log 5.8481 462 0.8996 0.5681 0.8996 0.9485
No log 5.8734 464 0.8208 0.6196 0.8208 0.9060
No log 5.8987 466 0.6927 0.6791 0.6927 0.8323
No log 5.9241 468 0.6437 0.7051 0.6437 0.8023
No log 5.9494 470 0.6526 0.6817 0.6526 0.8078
No log 5.9747 472 0.6757 0.6284 0.6757 0.8220
No log 6.0 474 0.7165 0.6221 0.7165 0.8465
No log 6.0253 476 0.7011 0.6417 0.7011 0.8373
No log 6.0506 478 0.6602 0.6532 0.6602 0.8125
No log 6.0759 480 0.6424 0.6817 0.6424 0.8015
No log 6.1013 482 0.6357 0.6979 0.6357 0.7973
No log 6.1266 484 0.6354 0.6979 0.6354 0.7971
No log 6.1519 486 0.6500 0.6832 0.6500 0.8063
No log 6.1772 488 0.7445 0.6135 0.7445 0.8629
No log 6.2025 490 0.7687 0.6157 0.7687 0.8768
No log 6.2278 492 0.6939 0.6500 0.6939 0.8330
No log 6.2532 494 0.6306 0.6683 0.6306 0.7941
No log 6.2785 496 0.6299 0.6440 0.6299 0.7937
No log 6.3038 498 0.6175 0.6867 0.6175 0.7858
0.4876 6.3291 500 0.6491 0.6610 0.6491 0.8057
0.4876 6.3544 502 0.7137 0.6116 0.7137 0.8448
0.4876 6.3797 504 0.8058 0.6356 0.8058 0.8977
0.4876 6.4051 506 0.7783 0.6676 0.7783 0.8822
0.4876 6.4304 508 0.6727 0.6848 0.6727 0.8202
0.4876 6.4557 510 0.6340 0.7095 0.6340 0.7963
0.4876 6.4810 512 0.6406 0.7095 0.6406 0.8004
0.4876 6.5063 514 0.6681 0.6735 0.6681 0.8174
0.4876 6.5316 516 0.6977 0.6436 0.6977 0.8353
0.4876 6.5570 518 0.7114 0.6353 0.7114 0.8434
0.4876 6.5823 520 0.6642 0.6841 0.6642 0.8150
0.4876 6.6076 522 0.6496 0.6841 0.6496 0.8060
0.4876 6.6329 524 0.6447 0.7084 0.6447 0.8029
0.4876 6.6582 526 0.7221 0.6914 0.7221 0.8498
0.4876 6.6835 528 0.8400 0.6695 0.8400 0.9165
0.4876 6.7089 530 0.8738 0.6677 0.8738 0.9348
0.4876 6.7342 532 0.7508 0.6648 0.7508 0.8665
0.4876 6.7595 534 0.6464 0.6971 0.6464 0.8040
0.4876 6.7848 536 0.6284 0.6798 0.6284 0.7927
0.4876 6.8101 538 0.6308 0.6798 0.6308 0.7942
0.4876 6.8354 540 0.6477 0.6868 0.6477 0.8048
0.4876 6.8608 542 0.7173 0.6546 0.7173 0.8469
0.4876 6.8861 544 0.8235 0.6509 0.8235 0.9075
0.4876 6.9114 546 0.9207 0.6392 0.9207 0.9596
0.4876 6.9367 548 0.8370 0.6704 0.8370 0.9149
0.4876 6.9620 550 0.6621 0.7163 0.6621 0.8137
0.4876 6.9873 552 0.6027 0.6846 0.6027 0.7763
0.4876 7.0127 554 0.6354 0.6964 0.6354 0.7971
0.4876 7.0380 556 0.6080 0.6807 0.6080 0.7798
0.4876 7.0633 558 0.6222 0.7327 0.6222 0.7888
0.4876 7.0886 560 0.7493 0.6551 0.7493 0.8656
0.4876 7.1139 562 0.7616 0.6351 0.7616 0.8727
0.4876 7.1392 564 0.6700 0.6591 0.6700 0.8185
0.4876 7.1646 566 0.6218 0.7076 0.6218 0.7885
0.4876 7.1899 568 0.6138 0.6951 0.6138 0.7835
0.4876 7.2152 570 0.6155 0.7160 0.6155 0.7845
0.4876 7.2405 572 0.6632 0.7077 0.6632 0.8143
0.4876 7.2658 574 0.7650 0.6760 0.7650 0.8747
0.4876 7.2911 576 0.8404 0.6937 0.8404 0.9167
0.4876 7.3165 578 0.7892 0.6714 0.7892 0.8884
0.4876 7.3418 580 0.6961 0.6866 0.6961 0.8344
0.4876 7.3671 582 0.6656 0.6972 0.6656 0.8158
0.4876 7.3924 584 0.6719 0.6867 0.6719 0.8197
0.4876 7.4177 586 0.6995 0.6646 0.6995 0.8364
0.4876 7.4430 588 0.6959 0.6494 0.6959 0.8342
0.4876 7.4684 590 0.7541 0.6429 0.7541 0.8684
0.4876 7.4937 592 0.7537 0.6329 0.7537 0.8682
0.4876 7.5190 594 0.7187 0.6365 0.7187 0.8477
0.4876 7.5443 596 0.7459 0.6350 0.7459 0.8637

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
3
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/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run3_AugV5_k16_task1_organization

Finetuned
(4040)
this model