ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k14_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: 0.9317
  • Qwk: 0.6360
  • Mse: 0.9317
  • Rmse: 0.9652

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 0.0377 2 2.3199 -0.0013 2.3199 1.5231
No log 0.0755 4 1.5610 0.1710 1.5610 1.2494
No log 0.1132 6 1.6173 0.0634 1.6173 1.2717
No log 0.1509 8 1.7117 0.1631 1.7117 1.3083
No log 0.1887 10 1.5879 0.2512 1.5879 1.2601
No log 0.2264 12 1.5534 0.1383 1.5534 1.2464
No log 0.2642 14 1.5495 0.0827 1.5495 1.2448
No log 0.3019 16 1.5504 0.0674 1.5504 1.2451
No log 0.3396 18 1.6012 0.2131 1.6012 1.2654
No log 0.3774 20 1.7948 0.3158 1.7948 1.3397
No log 0.4151 22 1.8547 0.2952 1.8547 1.3619
No log 0.4528 24 1.7923 0.3158 1.7923 1.3388
No log 0.4906 26 1.7208 0.3760 1.7208 1.3118
No log 0.5283 28 1.5617 0.3519 1.5617 1.2497
No log 0.5660 30 1.3356 0.2292 1.3356 1.1557
No log 0.6038 32 1.2375 0.1985 1.2375 1.1124
No log 0.6415 34 1.2229 0.2035 1.2229 1.1058
No log 0.6792 36 1.2211 0.2497 1.2211 1.1050
No log 0.7170 38 1.3537 0.2072 1.3537 1.1635
No log 0.7547 40 1.8944 0.1563 1.8944 1.3764
No log 0.7925 42 2.1253 0.1219 2.1253 1.4579
No log 0.8302 44 1.8399 0.2381 1.8399 1.3564
No log 0.8679 46 1.4555 0.2866 1.4555 1.2064
No log 0.9057 48 1.2201 0.3981 1.2201 1.1046
No log 0.9434 50 1.1880 0.3265 1.1880 1.0900
No log 0.9811 52 1.2024 0.2957 1.2024 1.0965
No log 1.0189 54 1.2007 0.3223 1.2007 1.0957
No log 1.0566 56 1.2688 0.3143 1.2688 1.1264
No log 1.0943 58 1.3313 0.3310 1.3313 1.1538
No log 1.1321 60 1.3002 0.2832 1.3002 1.1402
No log 1.1698 62 1.2483 0.3293 1.2483 1.1173
No log 1.2075 64 1.2243 0.3215 1.2243 1.1065
No log 1.2453 66 1.1847 0.3769 1.1847 1.0884
No log 1.2830 68 1.2344 0.3802 1.2344 1.1111
No log 1.3208 70 1.2340 0.4025 1.2340 1.1109
No log 1.3585 72 1.1144 0.4274 1.1144 1.0556
No log 1.3962 74 1.0613 0.4337 1.0613 1.0302
No log 1.4340 76 1.0436 0.4292 1.0436 1.0215
No log 1.4717 78 1.1021 0.4677 1.1021 1.0498
No log 1.5094 80 1.4309 0.3862 1.4309 1.1962
No log 1.5472 82 1.6207 0.3545 1.6207 1.2731
No log 1.5849 84 1.5908 0.3350 1.5908 1.2613
No log 1.6226 86 1.4157 0.4036 1.4157 1.1898
No log 1.6604 88 1.2006 0.4190 1.2006 1.0957
No log 1.6981 90 1.0561 0.4696 1.0561 1.0277
No log 1.7358 92 1.0151 0.4630 1.0151 1.0075
No log 1.7736 94 1.0218 0.4900 1.0218 1.0108
No log 1.8113 96 1.0592 0.4777 1.0592 1.0292
No log 1.8491 98 1.2029 0.4240 1.2029 1.0968
No log 1.8868 100 1.1950 0.4538 1.1950 1.0932
No log 1.9245 102 0.9900 0.5600 0.9900 0.9950
No log 1.9623 104 0.9042 0.5815 0.9042 0.9509
No log 2.0 106 0.8841 0.5580 0.8841 0.9403
No log 2.0377 108 0.9096 0.5986 0.9096 0.9537
No log 2.0755 110 1.0753 0.5549 1.0753 1.0370
No log 2.1132 112 1.2314 0.4913 1.2314 1.1097
No log 2.1509 114 1.1825 0.5279 1.1825 1.0874
No log 2.1887 116 1.1675 0.5279 1.1675 1.0805
No log 2.2264 118 1.1286 0.5471 1.1286 1.0623
No log 2.2642 120 1.0948 0.5499 1.0948 1.0463
No log 2.3019 122 1.1691 0.5219 1.1691 1.0812
No log 2.3396 124 1.1690 0.5014 1.1690 1.0812
No log 2.3774 126 1.1521 0.4981 1.1521 1.0733
No log 2.4151 128 1.2728 0.4796 1.2728 1.1282
No log 2.4528 130 1.4093 0.4874 1.4093 1.1871
No log 2.4906 132 1.3750 0.4737 1.3750 1.1726
No log 2.5283 134 1.1442 0.5013 1.1442 1.0697
No log 2.5660 136 0.9217 0.5662 0.9217 0.9600
No log 2.6038 138 0.8811 0.5447 0.8811 0.9387
No log 2.6415 140 0.8988 0.5277 0.8988 0.9480
No log 2.6792 142 0.8819 0.5342 0.8819 0.9391
No log 2.7170 144 0.9165 0.5492 0.9165 0.9574
No log 2.7547 146 1.1311 0.4963 1.1311 1.0635
No log 2.7925 148 1.4186 0.5011 1.4186 1.1910
No log 2.8302 150 1.4697 0.5078 1.4697 1.2123
No log 2.8679 152 1.2772 0.5196 1.2772 1.1302
No log 2.9057 154 0.9857 0.5661 0.9857 0.9928
No log 2.9434 156 0.7822 0.6413 0.7822 0.8844
No log 2.9811 158 0.7641 0.5985 0.7641 0.8741
No log 3.0189 160 0.7951 0.5955 0.7951 0.8917
No log 3.0566 162 0.7764 0.5866 0.7764 0.8811
No log 3.0943 164 0.7509 0.6250 0.7509 0.8665
No log 3.1321 166 0.7991 0.6653 0.7991 0.8939
No log 3.1698 168 0.9743 0.5925 0.9743 0.9871
No log 3.2075 170 1.0654 0.5562 1.0654 1.0322
No log 3.2453 172 1.0254 0.5874 1.0254 1.0126
No log 3.2830 174 0.9631 0.5793 0.9631 0.9814
No log 3.3208 176 0.8818 0.6208 0.8818 0.9391
No log 3.3585 178 0.8667 0.6274 0.8667 0.9310
No log 3.3962 180 0.8612 0.6178 0.8612 0.9280
No log 3.4340 182 0.8844 0.5783 0.8844 0.9404
No log 3.4717 184 0.9119 0.5692 0.9119 0.9549
No log 3.5094 186 1.0106 0.5555 1.0106 1.0053
No log 3.5472 188 1.0808 0.5470 1.0808 1.0396
No log 3.5849 190 1.0951 0.5576 1.0951 1.0465
No log 3.6226 192 1.0761 0.5470 1.0761 1.0374
No log 3.6604 194 0.9834 0.5804 0.9834 0.9917
No log 3.6981 196 0.8832 0.5806 0.8832 0.9398
No log 3.7358 198 0.8749 0.5541 0.8749 0.9353
No log 3.7736 200 0.9304 0.5641 0.9304 0.9645
No log 3.8113 202 0.9760 0.5732 0.9760 0.9879
No log 3.8491 204 1.0971 0.5478 1.0971 1.0474
No log 3.8868 206 1.2896 0.5585 1.2896 1.1356
No log 3.9245 208 1.3972 0.5449 1.3972 1.1820
No log 3.9623 210 1.3784 0.5497 1.3784 1.1740
No log 4.0 212 1.1937 0.5583 1.1937 1.0926
No log 4.0377 214 1.0033 0.6303 1.0033 1.0017
No log 4.0755 216 0.9125 0.6356 0.9125 0.9552
No log 4.1132 218 0.9243 0.6341 0.9243 0.9614
No log 4.1509 220 1.0128 0.6159 1.0128 1.0064
No log 4.1887 222 1.1080 0.6060 1.1080 1.0526
No log 4.2264 224 1.1927 0.5794 1.1927 1.0921
No log 4.2642 226 1.2326 0.5715 1.2326 1.1102
No log 4.3019 228 1.1412 0.5794 1.1412 1.0683
No log 4.3396 230 1.0646 0.6323 1.0646 1.0318
No log 4.3774 232 0.9939 0.6196 0.9939 0.9969
No log 4.4151 234 0.8936 0.5944 0.8936 0.9453
No log 4.4528 236 0.8774 0.6057 0.8774 0.9367
No log 4.4906 238 0.9057 0.5753 0.9057 0.9517
No log 4.5283 240 0.9862 0.5791 0.9862 0.9931
No log 4.5660 242 1.1603 0.5360 1.1603 1.0772
No log 4.6038 244 1.3522 0.5653 1.3522 1.1628
No log 4.6415 246 1.3666 0.5697 1.3666 1.1690
No log 4.6792 248 1.3419 0.5666 1.3419 1.1584
No log 4.7170 250 1.2671 0.5840 1.2671 1.1257
No log 4.7547 252 1.1395 0.5970 1.1395 1.0675
No log 4.7925 254 1.0406 0.5954 1.0406 1.0201
No log 4.8302 256 0.9410 0.6059 0.9410 0.9700
No log 4.8679 258 0.8650 0.6094 0.8650 0.9301
No log 4.9057 260 0.8233 0.6395 0.8233 0.9074
No log 4.9434 262 0.7923 0.6692 0.7923 0.8901
No log 4.9811 264 0.8245 0.6436 0.8245 0.9080
No log 5.0189 266 0.9339 0.5956 0.9339 0.9664
No log 5.0566 268 1.0383 0.5721 1.0383 1.0190
No log 5.0943 270 1.0584 0.5675 1.0584 1.0288
No log 5.1321 272 1.0076 0.5897 1.0076 1.0038
No log 5.1698 274 0.9508 0.5933 0.9508 0.9751
No log 5.2075 276 0.8830 0.6400 0.8830 0.9397
No log 5.2453 278 0.8391 0.6597 0.8391 0.9160
No log 5.2830 280 0.8516 0.6825 0.8516 0.9228
No log 5.3208 282 0.9247 0.6097 0.9247 0.9616
No log 5.3585 284 1.0422 0.5957 1.0422 1.0209
No log 5.3962 286 1.1691 0.5832 1.1691 1.0812
No log 5.4340 288 1.1813 0.5656 1.1813 1.0869
No log 5.4717 290 1.1153 0.5768 1.1153 1.0561
No log 5.5094 292 1.0406 0.5768 1.0406 1.0201
No log 5.5472 294 0.9453 0.5731 0.9453 0.9722
No log 5.5849 296 0.9166 0.5769 0.9166 0.9574
No log 5.6226 298 0.8991 0.5958 0.8991 0.9482
No log 5.6604 300 0.9067 0.5901 0.9067 0.9522
No log 5.6981 302 0.9204 0.5959 0.9204 0.9594
No log 5.7358 304 0.9718 0.5907 0.9718 0.9858
No log 5.7736 306 1.0746 0.5858 1.0746 1.0366
No log 5.8113 308 1.2088 0.5592 1.2088 1.0994
No log 5.8491 310 1.3283 0.5313 1.3283 1.1525
No log 5.8868 312 1.3506 0.5196 1.3506 1.1621
No log 5.9245 314 1.2879 0.5230 1.2879 1.1349
No log 5.9623 316 1.1675 0.5426 1.1675 1.0805
No log 6.0 318 1.0812 0.5629 1.0812 1.0398
No log 6.0377 320 1.0252 0.5568 1.0252 1.0125
No log 6.0755 322 1.0190 0.5578 1.0190 1.0095
No log 6.1132 324 1.0311 0.5568 1.0311 1.0154
No log 6.1509 326 1.0871 0.5699 1.0871 1.0426
No log 6.1887 328 1.1366 0.5653 1.1366 1.0661
No log 6.2264 330 1.1199 0.5699 1.1199 1.0582
No log 6.2642 332 1.0643 0.5629 1.0643 1.0317
No log 6.3019 334 1.0167 0.5757 1.0167 1.0083
No log 6.3396 336 0.9629 0.5999 0.9629 0.9813
No log 6.3774 338 0.9639 0.6117 0.9639 0.9818
No log 6.4151 340 0.9897 0.5946 0.9897 0.9948
No log 6.4528 342 1.0097 0.5933 1.0097 1.0049
No log 6.4906 344 0.9737 0.5969 0.9737 0.9868
No log 6.5283 346 0.9737 0.5969 0.9737 0.9868
No log 6.5660 348 1.0068 0.6012 1.0068 1.0034
No log 6.6038 350 1.0530 0.5527 1.0530 1.0262
No log 6.6415 352 1.0491 0.5573 1.0491 1.0242
No log 6.6792 354 1.0052 0.5930 1.0052 1.0026
No log 6.7170 356 0.9528 0.6223 0.9528 0.9761
No log 6.7547 358 0.9331 0.6339 0.9331 0.9660
No log 6.7925 360 0.9349 0.6165 0.9349 0.9669
No log 6.8302 362 0.9769 0.5976 0.9769 0.9884
No log 6.8679 364 0.9957 0.5745 0.9957 0.9978
No log 6.9057 366 0.9884 0.5963 0.9884 0.9942
No log 6.9434 368 0.9497 0.6290 0.9497 0.9745
No log 6.9811 370 0.9248 0.6180 0.9248 0.9617
No log 7.0189 372 0.8836 0.6204 0.8836 0.9400
No log 7.0566 374 0.8842 0.6303 0.8842 0.9403
No log 7.0943 376 0.8907 0.6324 0.8907 0.9437
No log 7.1321 378 0.9094 0.6438 0.9094 0.9536
No log 7.1698 380 0.9013 0.6438 0.9013 0.9494
No log 7.2075 382 0.8630 0.6480 0.8630 0.9290
No log 7.2453 384 0.8746 0.6454 0.8746 0.9352
No log 7.2830 386 0.8941 0.6329 0.8941 0.9456
No log 7.3208 388 0.9037 0.6340 0.9037 0.9506
No log 7.3585 390 0.9208 0.6215 0.9208 0.9596
No log 7.3962 392 0.9381 0.6215 0.9381 0.9685
No log 7.4340 394 0.9374 0.6215 0.9374 0.9682
No log 7.4717 396 0.9142 0.6340 0.9142 0.9562
No log 7.5094 398 0.8902 0.6290 0.8902 0.9435
No log 7.5472 400 0.8862 0.6254 0.8862 0.9414
No log 7.5849 402 0.9136 0.6290 0.9136 0.9558
No log 7.6226 404 0.9386 0.6340 0.9386 0.9688
No log 7.6604 406 0.9645 0.6345 0.9645 0.9821
No log 7.6981 408 0.9866 0.6221 0.9866 0.9933
No log 7.7358 410 0.9828 0.6221 0.9828 0.9914
No log 7.7736 412 0.9717 0.6221 0.9717 0.9858
No log 7.8113 414 0.9482 0.6250 0.9482 0.9738
No log 7.8491 416 0.9180 0.6099 0.9180 0.9581
No log 7.8868 418 0.8859 0.6034 0.8859 0.9412
No log 7.9245 420 0.8739 0.6268 0.8739 0.9348
No log 7.9623 422 0.8717 0.6268 0.8717 0.9337
No log 8.0 424 0.8507 0.6371 0.8507 0.9224
No log 8.0377 426 0.8444 0.6300 0.8444 0.9189
No log 8.0755 428 0.8529 0.6300 0.8529 0.9235
No log 8.1132 430 0.8621 0.6300 0.8621 0.9285
No log 8.1509 432 0.8641 0.6300 0.8641 0.9296
No log 8.1887 434 0.8480 0.6300 0.8480 0.9209
No log 8.2264 436 0.8509 0.6300 0.8509 0.9224
No log 8.2642 438 0.8735 0.6268 0.8735 0.9346
No log 8.3019 440 0.9024 0.6175 0.9024 0.9500
No log 8.3396 442 0.9163 0.6229 0.9163 0.9573
No log 8.3774 444 0.9370 0.6453 0.9370 0.9680
No log 8.4151 446 0.9513 0.6453 0.9513 0.9754
No log 8.4528 448 0.9602 0.6453 0.9602 0.9799
No log 8.4906 450 0.9777 0.6453 0.9777 0.9888
No log 8.5283 452 1.0085 0.6237 1.0085 1.0042
No log 8.5660 454 1.0356 0.6114 1.0356 1.0176
No log 8.6038 456 1.0463 0.5992 1.0463 1.0229
No log 8.6415 458 1.0466 0.5992 1.0466 1.0230
No log 8.6792 460 1.0418 0.5992 1.0418 1.0207
No log 8.7170 462 1.0334 0.5992 1.0334 1.0166
No log 8.7547 464 1.0118 0.5992 1.0118 1.0059
No log 8.7925 466 0.9818 0.6066 0.9818 0.9909
No log 8.8302 468 0.9651 0.6093 0.9651 0.9824
No log 8.8679 470 0.9504 0.6093 0.9504 0.9749
No log 8.9057 472 0.9332 0.6071 0.9332 0.9660
No log 8.9434 474 0.9307 0.6071 0.9307 0.9647
No log 8.9811 476 0.9326 0.6071 0.9326 0.9657
No log 9.0189 478 0.9270 0.6071 0.9270 0.9628
No log 9.0566 480 0.9339 0.6236 0.9339 0.9664
No log 9.0943 482 0.9381 0.6236 0.9381 0.9686
No log 9.1321 484 0.9342 0.6360 0.9342 0.9665
No log 9.1698 486 0.9238 0.6360 0.9238 0.9612
No log 9.2075 488 0.9203 0.6360 0.9203 0.9593
No log 9.2453 490 0.9219 0.6360 0.9219 0.9601
No log 9.2830 492 0.9316 0.6360 0.9316 0.9652
No log 9.3208 494 0.9406 0.6453 0.9406 0.9699
No log 9.3585 496 0.9432 0.6453 0.9432 0.9712
No log 9.3962 498 0.9414 0.6360 0.9414 0.9703
0.3123 9.4340 500 0.9444 0.6360 0.9444 0.9718
0.3123 9.4717 502 0.9454 0.6360 0.9454 0.9723
0.3123 9.5094 504 0.9457 0.6236 0.9457 0.9725
0.3123 9.5472 506 0.9456 0.6236 0.9456 0.9724
0.3123 9.5849 508 0.9429 0.6360 0.9429 0.9710
0.3123 9.6226 510 0.9382 0.6360 0.9382 0.9686
0.3123 9.6604 512 0.9357 0.6360 0.9357 0.9673
0.3123 9.6981 514 0.9330 0.6360 0.9330 0.9659
0.3123 9.7358 516 0.9332 0.6360 0.9332 0.9660
0.3123 9.7736 518 0.9336 0.6360 0.9336 0.9662
0.3123 9.8113 520 0.9337 0.6360 0.9337 0.9663
0.3123 9.8491 522 0.9340 0.6360 0.9340 0.9664
0.3123 9.8868 524 0.9330 0.6360 0.9330 0.9659
0.3123 9.9245 526 0.9317 0.6360 0.9317 0.9652
0.3123 9.9623 528 0.9317 0.6360 0.9317 0.9653
0.3123 10.0 530 0.9317 0.6360 0.9317 0.9652

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/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k14_task5_organization

Finetuned
(4023)
this model