ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k12_task5_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: 0.9365
  • Qwk: 0.6179
  • Mse: 0.9365
  • Rmse: 0.9677

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: 10

Training results

Training Loss Epoch Step Validation Loss Qwk Mse Rmse
No log 0.0345 2 2.1899 -0.0074 2.1899 1.4798
No log 0.0690 4 1.8683 0.0233 1.8683 1.3669
No log 0.1034 6 2.2425 -0.0945 2.2425 1.4975
No log 0.1379 8 1.6998 0.0643 1.6998 1.3038
No log 0.1724 10 1.4406 0.1243 1.4406 1.2002
No log 0.2069 12 1.3859 0.1174 1.3859 1.1772
No log 0.2414 14 1.4194 0.3151 1.4194 1.1914
No log 0.2759 16 1.3819 0.2910 1.3819 1.1756
No log 0.3103 18 1.2983 0.2075 1.2983 1.1394
No log 0.3448 20 1.2794 0.1999 1.2794 1.1311
No log 0.3793 22 1.2589 0.2955 1.2589 1.1220
No log 0.4138 24 1.2931 0.3369 1.2931 1.1372
No log 0.4483 26 1.4068 0.3190 1.4068 1.1861
No log 0.4828 28 1.4125 0.2750 1.4125 1.1885
No log 0.5172 30 1.3076 0.3444 1.3076 1.1435
No log 0.5517 32 1.1780 0.3562 1.1780 1.0853
No log 0.5862 34 1.1755 0.3050 1.1755 1.0842
No log 0.6207 36 1.2360 0.1923 1.2360 1.1118
No log 0.6552 38 1.2729 0.1575 1.2729 1.1282
No log 0.6897 40 1.3011 0.1364 1.3011 1.1406
No log 0.7241 42 1.2843 0.1128 1.2843 1.1333
No log 0.7586 44 1.2497 0.1983 1.2497 1.1179
No log 0.7931 46 1.1883 0.2715 1.1883 1.0901
No log 0.8276 48 1.1438 0.2852 1.1438 1.0695
No log 0.8621 50 1.1068 0.3601 1.1068 1.0520
No log 0.8966 52 1.0911 0.4148 1.0911 1.0446
No log 0.9310 54 1.1061 0.4327 1.1061 1.0517
No log 0.9655 56 1.2012 0.4166 1.2012 1.0960
No log 1.0 58 1.3264 0.4017 1.3264 1.1517
No log 1.0345 60 1.2811 0.4293 1.2811 1.1319
No log 1.0690 62 1.1405 0.4107 1.1405 1.0680
No log 1.1034 64 1.0954 0.3735 1.0954 1.0466
No log 1.1379 66 1.0560 0.4797 1.0560 1.0276
No log 1.1724 68 1.0280 0.4787 1.0280 1.0139
No log 1.2069 70 1.0402 0.4811 1.0402 1.0199
No log 1.2414 72 1.0916 0.4703 1.0916 1.0448
No log 1.2759 74 1.2206 0.3807 1.2206 1.1048
No log 1.3103 76 1.2715 0.4057 1.2715 1.1276
No log 1.3448 78 1.2099 0.4678 1.2099 1.1000
No log 1.3793 80 1.0845 0.4666 1.0845 1.0414
No log 1.4138 82 1.1409 0.5345 1.1409 1.0681
No log 1.4483 84 1.4561 0.4253 1.4561 1.2067
No log 1.4828 86 1.6177 0.3658 1.6177 1.2719
No log 1.5172 88 1.4898 0.3961 1.4898 1.2206
No log 1.5517 90 1.1868 0.4947 1.1868 1.0894
No log 1.5862 92 1.0536 0.4688 1.0536 1.0265
No log 1.6207 94 0.9912 0.5209 0.9912 0.9956
No log 1.6552 96 1.0118 0.4935 1.0118 1.0059
No log 1.6897 98 1.0545 0.5282 1.0545 1.0269
No log 1.7241 100 1.1617 0.5442 1.1617 1.0778
No log 1.7586 102 1.3983 0.4802 1.3983 1.1825
No log 1.7931 104 1.4712 0.4677 1.4712 1.2129
No log 1.8276 106 1.2790 0.5297 1.2790 1.1309
No log 1.8621 108 1.0510 0.5498 1.0510 1.0252
No log 1.8966 110 0.9375 0.5625 0.9375 0.9682
No log 1.9310 112 0.9097 0.5739 0.9097 0.9538
No log 1.9655 114 0.9542 0.6164 0.9542 0.9768
No log 2.0 116 1.1390 0.5642 1.1390 1.0672
No log 2.0345 118 1.1898 0.5502 1.1898 1.0908
No log 2.0690 120 1.0652 0.5828 1.0652 1.0321
No log 2.1034 122 0.9159 0.6164 0.9159 0.9570
No log 2.1379 124 0.8619 0.6127 0.8619 0.9284
No log 2.1724 126 0.8926 0.6172 0.8926 0.9448
No log 2.2069 128 1.0400 0.5998 1.0400 1.0198
No log 2.2414 130 1.2470 0.5415 1.2470 1.1167
No log 2.2759 132 1.3895 0.5232 1.3895 1.1788
No log 2.3103 134 1.2488 0.5346 1.2488 1.1175
No log 2.3448 136 1.0270 0.5969 1.0270 1.0134
No log 2.3793 138 0.9553 0.6003 0.9553 0.9774
No log 2.4138 140 0.9726 0.5912 0.9726 0.9862
No log 2.4483 142 1.0557 0.5779 1.0557 1.0275
No log 2.4828 144 1.1735 0.5889 1.1735 1.0833
No log 2.5172 146 1.2337 0.5606 1.2337 1.1107
No log 2.5517 148 1.1802 0.5690 1.1802 1.0864
No log 2.5862 150 1.1298 0.5901 1.1298 1.0629
No log 2.6207 152 1.1439 0.5789 1.1439 1.0695
No log 2.6552 154 1.1361 0.5734 1.1361 1.0659
No log 2.6897 156 1.0051 0.6420 1.0051 1.0025
No log 2.7241 158 0.9727 0.6278 0.9727 0.9863
No log 2.7586 160 0.9433 0.6329 0.9433 0.9712
No log 2.7931 162 0.8660 0.5891 0.8660 0.9306
No log 2.8276 164 0.8694 0.5983 0.8694 0.9324
No log 2.8621 166 1.0042 0.6117 1.0042 1.0021
No log 2.8966 168 1.1472 0.5394 1.1472 1.0711
No log 2.9310 170 1.5109 0.4996 1.5109 1.2292
No log 2.9655 172 1.6384 0.4675 1.6384 1.2800
No log 3.0 174 1.4066 0.5185 1.4066 1.1860
No log 3.0345 176 1.1749 0.5543 1.1749 1.0839
No log 3.0690 178 1.0274 0.5989 1.0274 1.0136
No log 3.1034 180 1.0514 0.5935 1.0514 1.0254
No log 3.1379 182 1.1139 0.5985 1.1139 1.0554
No log 3.1724 184 1.1208 0.6084 1.1208 1.0587
No log 3.2069 186 1.0525 0.6120 1.0525 1.0259
No log 3.2414 188 0.9657 0.6532 0.9657 0.9827
No log 3.2759 190 0.9919 0.6247 0.9919 0.9959
No log 3.3103 192 1.0102 0.6410 1.0102 1.0051
No log 3.3448 194 1.1319 0.6052 1.1319 1.0639
No log 3.3793 196 1.2961 0.5483 1.2961 1.1384
No log 3.4138 198 1.2333 0.5244 1.2333 1.1105
No log 3.4483 200 1.0457 0.5127 1.0457 1.0226
No log 3.4828 202 0.9613 0.5319 0.9613 0.9805
No log 3.5172 204 0.9583 0.5310 0.9583 0.9789
No log 3.5517 206 1.0712 0.5428 1.0712 1.0350
No log 3.5862 208 1.1968 0.5302 1.1968 1.0940
No log 3.6207 210 1.1994 0.5480 1.1994 1.0952
No log 3.6552 212 1.0892 0.5430 1.0892 1.0436
No log 3.6897 214 0.9056 0.5944 0.9056 0.9516
No log 3.7241 216 0.7937 0.6417 0.7937 0.8909
No log 3.7586 218 0.7703 0.6385 0.7703 0.8777
No log 3.7931 220 0.8127 0.6427 0.8127 0.9015
No log 3.8276 222 0.8932 0.6014 0.8932 0.9451
No log 3.8621 224 0.9878 0.5946 0.9878 0.9939
No log 3.8966 226 1.0362 0.5784 1.0362 1.0180
No log 3.9310 228 1.1552 0.5648 1.1552 1.0748
No log 3.9655 230 1.1126 0.5574 1.1126 1.0548
No log 4.0 232 1.0171 0.5796 1.0171 1.0085
No log 4.0345 234 0.9691 0.5747 0.9691 0.9844
No log 4.0690 236 0.9361 0.5999 0.9361 0.9675
No log 4.1034 238 0.9237 0.6084 0.9237 0.9611
No log 4.1379 240 0.9257 0.5881 0.9257 0.9621
No log 4.1724 242 0.9672 0.5770 0.9672 0.9835
No log 4.2069 244 1.0430 0.5476 1.0430 1.0213
No log 4.2414 246 1.0507 0.5532 1.0507 1.0250
No log 4.2759 248 1.0209 0.5553 1.0209 1.0104
No log 4.3103 250 1.0857 0.5691 1.0857 1.0419
No log 4.3448 252 1.1996 0.5737 1.1996 1.0953
No log 4.3793 254 1.1533 0.5737 1.1533 1.0739
No log 4.4138 256 1.0591 0.5771 1.0591 1.0291
No log 4.4483 258 0.9504 0.5685 0.9504 0.9749
No log 4.4828 260 0.9209 0.5966 0.9209 0.9596
No log 4.5172 262 0.9579 0.5820 0.9579 0.9787
No log 4.5517 264 1.0511 0.5691 1.0511 1.0252
No log 4.5862 266 1.0921 0.5748 1.0921 1.0451
No log 4.6207 268 1.0904 0.5725 1.0904 1.0442
No log 4.6552 270 1.0303 0.5736 1.0303 1.0151
No log 4.6897 272 0.9311 0.6040 0.9311 0.9649
No log 4.7241 274 0.8596 0.6322 0.8596 0.9271
No log 4.7586 276 0.8897 0.6175 0.8897 0.9433
No log 4.7931 278 1.0069 0.5688 1.0069 1.0034
No log 4.8276 280 1.1197 0.5351 1.1197 1.0582
No log 4.8621 282 1.3203 0.5092 1.3203 1.1491
No log 4.8966 284 1.4416 0.5135 1.4416 1.2007
No log 4.9310 286 1.3638 0.5258 1.3638 1.1678
No log 4.9655 288 1.1563 0.5714 1.1563 1.0753
No log 5.0 290 0.9885 0.6077 0.9885 0.9942
No log 5.0345 292 0.8853 0.6146 0.8853 0.9409
No log 5.0690 294 0.8733 0.6133 0.8733 0.9345
No log 5.1034 296 0.9288 0.6229 0.9288 0.9637
No log 5.1379 298 0.9454 0.6068 0.9454 0.9723
No log 5.1724 300 0.9263 0.6068 0.9263 0.9625
No log 5.2069 302 0.9472 0.6068 0.9472 0.9733
No log 5.2414 304 0.9493 0.6147 0.9493 0.9743
No log 5.2759 306 0.9571 0.6147 0.9571 0.9783
No log 5.3103 308 0.9484 0.6130 0.9484 0.9739
No log 5.3448 310 0.9598 0.6097 0.9598 0.9797
No log 5.3793 312 1.0282 0.5872 1.0282 1.0140
No log 5.4138 314 1.1247 0.5814 1.1247 1.0605
No log 5.4483 316 1.1954 0.5715 1.1954 1.0934
No log 5.4828 318 1.1727 0.5648 1.1727 1.0829
No log 5.5172 320 1.1209 0.5746 1.1209 1.0587
No log 5.5517 322 0.9960 0.6250 0.9960 0.9980
No log 5.5862 324 0.8961 0.6306 0.8961 0.9466
No log 5.6207 326 0.8503 0.6347 0.8503 0.9221
No log 5.6552 328 0.8638 0.6316 0.8638 0.9294
No log 5.6897 330 0.9083 0.6217 0.9083 0.9530
No log 5.7241 332 1.0062 0.5757 1.0062 1.0031
No log 5.7586 334 1.1241 0.5487 1.1241 1.0602
No log 5.7931 336 1.1630 0.5581 1.1630 1.0784
No log 5.8276 338 1.1937 0.5409 1.1937 1.0926
No log 5.8621 340 1.1606 0.5503 1.1606 1.0773
No log 5.8966 342 1.0539 0.5860 1.0539 1.0266
No log 5.9310 344 0.9769 0.6068 0.9769 0.9884
No log 5.9655 346 0.9633 0.6083 0.9633 0.9815
No log 6.0 348 0.9973 0.6087 0.9973 0.9986
No log 6.0345 350 1.0120 0.6087 1.0120 1.0060
No log 6.0690 352 0.9651 0.6083 0.9651 0.9824
No log 6.1034 354 0.9463 0.5978 0.9463 0.9728
No log 6.1379 356 0.9100 0.6006 0.9100 0.9539
No log 6.1724 358 0.9179 0.6141 0.9179 0.9580
No log 6.2069 360 0.9647 0.5975 0.9647 0.9822
No log 6.2414 362 0.9646 0.6069 0.9646 0.9822
No log 6.2759 364 0.9324 0.6214 0.9324 0.9656
No log 6.3103 366 0.8753 0.6390 0.8753 0.9356
No log 6.3448 368 0.8244 0.6354 0.8244 0.9080
No log 6.3793 370 0.8242 0.6354 0.8242 0.9078
No log 6.4138 372 0.8763 0.6304 0.8763 0.9361
No log 6.4483 374 0.9562 0.5957 0.9562 0.9779
No log 6.4828 376 1.0936 0.5566 1.0936 1.0458
No log 6.5172 378 1.1548 0.5536 1.1548 1.0746
No log 6.5517 380 1.1336 0.5537 1.1336 1.0647
No log 6.5862 382 1.0794 0.5758 1.0794 1.0390
No log 6.6207 384 1.0550 0.5664 1.0550 1.0271
No log 6.6552 386 1.0677 0.5664 1.0677 1.0333
No log 6.6897 388 1.0522 0.5563 1.0522 1.0258
No log 6.7241 390 1.0727 0.5713 1.0727 1.0357
No log 6.7586 392 1.1249 0.5554 1.1249 1.0606
No log 6.7931 394 1.2061 0.5137 1.2061 1.0982
No log 6.8276 396 1.1796 0.5151 1.1796 1.0861
No log 6.8621 398 1.1379 0.5455 1.1379 1.0667
No log 6.8966 400 1.0627 0.5616 1.0627 1.0309
No log 6.9310 402 0.9818 0.5881 0.9818 0.9909
No log 6.9655 404 0.9574 0.5784 0.9574 0.9785
No log 7.0 406 0.9574 0.5784 0.9574 0.9784
No log 7.0345 408 0.9765 0.5784 0.9765 0.9882
No log 7.0690 410 1.0291 0.5843 1.0291 1.0144
No log 7.1034 412 1.0826 0.5689 1.0826 1.0405
No log 7.1379 414 1.1052 0.5724 1.1052 1.0513
No log 7.1724 416 1.0915 0.5611 1.0915 1.0448
No log 7.2069 418 1.0611 0.5656 1.0611 1.0301
No log 7.2414 420 1.0024 0.5781 1.0024 1.0012
No log 7.2759 422 0.9807 0.5841 0.9807 0.9903
No log 7.3103 424 0.9697 0.5925 0.9697 0.9847
No log 7.3448 426 0.9478 0.6120 0.9478 0.9735
No log 7.3793 428 0.9552 0.6002 0.9552 0.9773
No log 7.4138 430 1.0020 0.5843 1.0020 1.0010
No log 7.4483 432 1.0742 0.5680 1.0742 1.0365
No log 7.4828 434 1.1176 0.5534 1.1176 1.0572
No log 7.5172 436 1.1077 0.5534 1.1077 1.0525
No log 7.5517 438 1.0577 0.5713 1.0577 1.0285
No log 7.5862 440 1.0032 0.5865 1.0032 1.0016
No log 7.6207 442 0.9433 0.6046 0.9433 0.9712
No log 7.6552 444 0.9223 0.6276 0.9223 0.9604
No log 7.6897 446 0.9427 0.6162 0.9427 0.9709
No log 7.7241 448 0.9588 0.6018 0.9588 0.9792
No log 7.7586 450 1.0053 0.5817 1.0053 1.0026
No log 7.7931 452 1.0789 0.5792 1.0789 1.0387
No log 7.8276 454 1.1256 0.5802 1.1256 1.0610
No log 7.8621 456 1.1408 0.5715 1.1408 1.0681
No log 7.8966 458 1.1296 0.5802 1.1296 1.0628
No log 7.9310 460 1.0795 0.5781 1.0795 1.0390
No log 7.9655 462 1.0221 0.5827 1.0221 1.0110
No log 8.0 464 0.9447 0.6051 0.9447 0.9720
No log 8.0345 466 0.9026 0.6444 0.9026 0.9501
No log 8.0690 468 0.9042 0.6444 0.9042 0.9509
No log 8.1034 470 0.9318 0.6179 0.9318 0.9653
No log 8.1379 472 0.9790 0.6069 0.9790 0.9894
No log 8.1724 474 1.0370 0.5815 1.0370 1.0183
No log 8.2069 476 1.0813 0.5770 1.0813 1.0399
No log 8.2414 478 1.1153 0.5604 1.1153 1.0561
No log 8.2759 480 1.1311 0.5628 1.1311 1.0635
No log 8.3103 482 1.1247 0.5628 1.1247 1.0605
No log 8.3448 484 1.0929 0.5781 1.0929 1.0454
No log 8.3793 486 1.0317 0.5905 1.0317 1.0157
No log 8.4138 488 0.9863 0.6056 0.9863 0.9931
No log 8.4483 490 0.9520 0.6115 0.9520 0.9757
No log 8.4828 492 0.9262 0.6240 0.9262 0.9624
No log 8.5172 494 0.9304 0.6240 0.9304 0.9646
No log 8.5517 496 0.9647 0.6069 0.9647 0.9822
No log 8.5862 498 0.9812 0.6011 0.9812 0.9906
0.3087 8.6207 500 1.0059 0.5885 1.0059 1.0030
0.3087 8.6552 502 1.0206 0.5885 1.0206 1.0102
0.3087 8.6897 504 1.0523 0.5848 1.0523 1.0258
0.3087 8.7241 506 1.0639 0.5758 1.0639 1.0315
0.3087 8.7586 508 1.0439 0.5907 1.0439 1.0217
0.3087 8.7931 510 1.0192 0.5839 1.0192 1.0096
0.3087 8.8276 512 0.9775 0.5912 0.9775 0.9887
0.3087 8.8621 514 0.9347 0.5985 0.9347 0.9668
0.3087 8.8966 516 0.9235 0.5985 0.9235 0.9610
0.3087 8.9310 518 0.9346 0.5985 0.9346 0.9667
0.3087 8.9655 520 0.9412 0.5985 0.9412 0.9702
0.3087 9.0 522 0.9473 0.5985 0.9473 0.9733
0.3087 9.0345 524 0.9503 0.5985 0.9503 0.9748
0.3087 9.0690 526 0.9647 0.5971 0.9647 0.9822
0.3087 9.1034 528 0.9841 0.5925 0.9841 0.9920
0.3087 9.1379 530 1.0043 0.6001 1.0043 1.0021
0.3087 9.1724 532 1.0138 0.6001 1.0138 1.0069
0.3087 9.2069 534 1.0217 0.6001 1.0217 1.0108
0.3087 9.2414 536 1.0120 0.6001 1.0120 1.0060
0.3087 9.2759 538 0.9962 0.6001 0.9962 0.9981
0.3087 9.3103 540 0.9767 0.5991 0.9767 0.9883
0.3087 9.3448 542 0.9693 0.6005 0.9693 0.9845
0.3087 9.3793 544 0.9568 0.6005 0.9568 0.9782
0.3087 9.4138 546 0.9486 0.6051 0.9486 0.9739
0.3087 9.4483 548 0.9412 0.6179 0.9412 0.9702
0.3087 9.4828 550 0.9406 0.6179 0.9406 0.9699
0.3087 9.5172 552 0.9380 0.6179 0.9380 0.9685
0.3087 9.5517 554 0.9313 0.6179 0.9313 0.9650
0.3087 9.5862 556 0.9198 0.6179 0.9198 0.9590
0.3087 9.6207 558 0.9165 0.6179 0.9165 0.9574
0.3087 9.6552 560 0.9139 0.6179 0.9139 0.9560
0.3087 9.6897 562 0.9153 0.6225 0.9153 0.9567
0.3087 9.7241 564 0.9199 0.6179 0.9199 0.9591
0.3087 9.7586 566 0.9266 0.6179 0.9266 0.9626
0.3087 9.7931 568 0.9287 0.6179 0.9287 0.9637
0.3087 9.8276 570 0.9311 0.6179 0.9311 0.9649
0.3087 9.8621 572 0.9315 0.6179 0.9315 0.9651
0.3087 9.8966 574 0.9331 0.6179 0.9331 0.9660
0.3087 9.9310 576 0.9344 0.6179 0.9344 0.9667
0.3087 9.9655 578 0.9356 0.6179 0.9356 0.9673
0.3087 10.0 580 0.9365 0.6179 0.9365 0.9677

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
4
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/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k12_task5_organization

Finetuned
(4041)
this model