ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k16_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: 1.0402
  • Qwk: 0.6059
  • Mse: 1.0402
  • Rmse: 1.0199

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 0.0317 2 2.2120 -0.0013 2.2120 1.4873
No log 0.0635 4 1.5739 0.1860 1.5739 1.2545
No log 0.0952 6 1.4948 0.1715 1.4948 1.2226
No log 0.1270 8 1.8701 -0.0516 1.8701 1.3675
No log 0.1587 10 1.7751 -0.0399 1.7751 1.3323
No log 0.1905 12 1.7177 0.1388 1.7177 1.3106
No log 0.2222 14 1.8417 0.2672 1.8417 1.3571
No log 0.2540 16 1.9530 0.2853 1.9530 1.3975
No log 0.2857 18 1.7393 0.2524 1.7393 1.3188
No log 0.3175 20 1.4694 0.1614 1.4694 1.2122
No log 0.3492 22 1.4451 0.1755 1.4451 1.2021
No log 0.3810 24 1.3547 0.2040 1.3547 1.1639
No log 0.4127 26 1.3046 0.2086 1.3046 1.1422
No log 0.4444 28 1.3080 0.2389 1.3080 1.1437
No log 0.4762 30 1.3439 0.2196 1.3439 1.1593
No log 0.5079 32 1.4155 0.2031 1.4155 1.1897
No log 0.5397 34 1.4718 0.2379 1.4718 1.2132
No log 0.5714 36 1.5903 0.3397 1.5903 1.2611
No log 0.6032 38 1.8594 0.2669 1.8594 1.3636
No log 0.6349 40 1.8778 0.2743 1.8778 1.3703
No log 0.6667 42 1.5281 0.3708 1.5281 1.2362
No log 0.6984 44 1.3758 0.3644 1.3758 1.1729
No log 0.7302 46 1.3242 0.3539 1.3242 1.1507
No log 0.7619 48 1.3144 0.3921 1.3144 1.1465
No log 0.7937 50 1.3734 0.4066 1.3734 1.1719
No log 0.8254 52 1.4154 0.3899 1.4154 1.1897
No log 0.8571 54 1.4352 0.4087 1.4352 1.1980
No log 0.8889 56 1.3993 0.4246 1.3993 1.1829
No log 0.9206 58 1.4697 0.4347 1.4697 1.2123
No log 0.9524 60 1.2667 0.4533 1.2667 1.1255
No log 0.9841 62 1.1407 0.4234 1.1407 1.0680
No log 1.0159 64 1.0956 0.4196 1.0956 1.0467
No log 1.0476 66 1.0949 0.5225 1.0949 1.0464
No log 1.0794 68 1.5579 0.4157 1.5579 1.2482
No log 1.1111 70 2.2960 0.2759 2.2960 1.5153
No log 1.1429 72 2.2629 0.3053 2.2629 1.5043
No log 1.1746 74 1.6782 0.3765 1.6782 1.2955
No log 1.2063 76 1.1970 0.4829 1.1970 1.0941
No log 1.2381 78 1.0438 0.4703 1.0438 1.0217
No log 1.2698 80 1.0236 0.4894 1.0236 1.0117
No log 1.3016 82 1.0405 0.4866 1.0405 1.0200
No log 1.3333 84 1.3020 0.4521 1.3020 1.1410
No log 1.3651 86 1.9034 0.3803 1.9034 1.3797
No log 1.3968 88 2.0699 0.3679 2.0699 1.4387
No log 1.4286 90 1.7384 0.3884 1.7384 1.3185
No log 1.4603 92 1.2660 0.4704 1.2660 1.1251
No log 1.4921 94 1.0845 0.4770 1.0845 1.0414
No log 1.5238 96 1.0846 0.4961 1.0846 1.0414
No log 1.5556 98 1.1875 0.5447 1.1875 1.0897
No log 1.5873 100 1.5690 0.4569 1.5690 1.2526
No log 1.6190 102 1.8949 0.4283 1.8949 1.3766
No log 1.6508 104 1.7893 0.4350 1.7893 1.3376
No log 1.6825 106 1.3702 0.4595 1.3702 1.1706
No log 1.7143 108 1.0782 0.5319 1.0782 1.0384
No log 1.7460 110 1.0039 0.5229 1.0039 1.0019
No log 1.7778 112 1.0136 0.5092 1.0136 1.0068
No log 1.8095 114 1.0946 0.4879 1.0946 1.0463
No log 1.8413 116 1.2126 0.4804 1.2126 1.1012
No log 1.8730 118 1.4224 0.4856 1.4224 1.1927
No log 1.9048 120 1.5076 0.4890 1.5076 1.2278
No log 1.9365 122 1.3436 0.4956 1.3436 1.1592
No log 1.9683 124 1.1612 0.4971 1.1612 1.0776
No log 2.0 126 1.1858 0.5120 1.1858 1.0890
No log 2.0317 128 1.3742 0.4973 1.3742 1.1723
No log 2.0635 130 1.4883 0.4603 1.4883 1.2200
No log 2.0952 132 1.5003 0.4567 1.5003 1.2249
No log 2.1270 134 1.4008 0.4809 1.4008 1.1836
No log 2.1587 136 1.3138 0.4701 1.3138 1.1462
No log 2.1905 138 1.4462 0.4413 1.4462 1.2026
No log 2.2222 140 1.4988 0.4563 1.4988 1.2242
No log 2.2540 142 1.4291 0.5024 1.4291 1.1954
No log 2.2857 144 1.1626 0.5388 1.1626 1.0783
No log 2.3175 146 0.9984 0.5943 0.9984 0.9992
No log 2.3492 148 1.0274 0.6008 1.0274 1.0136
No log 2.3810 150 1.1636 0.5482 1.1636 1.0787
No log 2.4127 152 1.1771 0.5417 1.1771 1.0849
No log 2.4444 154 1.2282 0.5372 1.2282 1.1082
No log 2.4762 156 1.1541 0.5909 1.1541 1.0743
No log 2.5079 158 1.1789 0.5831 1.1789 1.0858
No log 2.5397 160 1.3082 0.5652 1.3082 1.1438
No log 2.5714 162 1.1621 0.6023 1.1621 1.0780
No log 2.6032 164 1.1451 0.6015 1.1451 1.0701
No log 2.6349 166 1.0941 0.6064 1.0941 1.0460
No log 2.6667 168 1.1319 0.6038 1.1319 1.0639
No log 2.6984 170 1.0233 0.6200 1.0233 1.0116
No log 2.7302 172 1.0167 0.6266 1.0167 1.0083
No log 2.7619 174 1.0417 0.6266 1.0417 1.0206
No log 2.7937 176 1.2409 0.5924 1.2409 1.1140
No log 2.8254 178 1.3467 0.5691 1.3467 1.1605
No log 2.8571 180 1.2267 0.5815 1.2267 1.1076
No log 2.8889 182 1.0211 0.6396 1.0211 1.0105
No log 2.9206 184 1.0271 0.6430 1.0271 1.0135
No log 2.9524 186 1.0406 0.6243 1.0406 1.0201
No log 2.9841 188 1.1043 0.6132 1.1043 1.0509
No log 3.0159 190 1.2305 0.5446 1.2305 1.1093
No log 3.0476 192 1.2960 0.5311 1.2960 1.1384
No log 3.0794 194 1.2117 0.5334 1.2117 1.1008
No log 3.1111 196 1.0074 0.5711 1.0074 1.0037
No log 3.1429 198 0.9923 0.6037 0.9923 0.9961
No log 3.1746 200 1.1647 0.5738 1.1647 1.0792
No log 3.2063 202 1.4874 0.5080 1.4874 1.2196
No log 3.2381 204 1.4582 0.5080 1.4582 1.2076
No log 3.2698 206 1.1803 0.5370 1.1803 1.0864
No log 3.3016 208 0.9738 0.5943 0.9738 0.9868
No log 3.3333 210 0.9462 0.5927 0.9462 0.9727
No log 3.3651 212 1.0453 0.5369 1.0453 1.0224
No log 3.3968 214 1.3290 0.5537 1.3290 1.1528
No log 3.4286 216 1.6923 0.5152 1.6923 1.3009
No log 3.4603 218 1.7083 0.5021 1.7083 1.3070
No log 3.4921 220 1.3839 0.5312 1.3839 1.1764
No log 3.5238 222 1.0466 0.6451 1.0466 1.0231
No log 3.5556 224 0.9776 0.6155 0.9776 0.9888
No log 3.5873 226 1.0524 0.6167 1.0524 1.0259
No log 3.6190 228 1.1608 0.5824 1.1608 1.0774
No log 3.6508 230 1.1404 0.5638 1.1404 1.0679
No log 3.6825 232 1.0854 0.5712 1.0854 1.0418
No log 3.7143 234 1.1803 0.5465 1.1803 1.0864
No log 3.7460 236 1.1580 0.5465 1.1580 1.0761
No log 3.7778 238 1.1214 0.5736 1.1214 1.0590
No log 3.8095 240 1.0683 0.5883 1.0683 1.0336
No log 3.8413 242 0.9657 0.6590 0.9657 0.9827
No log 3.8730 244 0.8597 0.6751 0.8597 0.9272
No log 3.9048 246 0.8396 0.6882 0.8396 0.9163
No log 3.9365 248 0.8937 0.6479 0.8937 0.9454
No log 3.9683 250 1.0429 0.6320 1.0429 1.0212
No log 4.0 252 1.2507 0.5990 1.2507 1.1184
No log 4.0317 254 1.3799 0.5536 1.3799 1.1747
No log 4.0635 256 1.3194 0.5663 1.3194 1.1486
No log 4.0952 258 1.1252 0.5476 1.1252 1.0607
No log 4.1270 260 1.0384 0.5574 1.0384 1.0190
No log 4.1587 262 1.0661 0.5653 1.0661 1.0325
No log 4.1905 264 1.2097 0.5781 1.2097 1.0999
No log 4.2222 266 1.2345 0.5694 1.2345 1.1111
No log 4.2540 268 1.0925 0.5747 1.0925 1.0452
No log 4.2857 270 0.9403 0.6137 0.9403 0.9697
No log 4.3175 272 0.9125 0.6095 0.9125 0.9552
No log 4.3492 274 0.9802 0.5819 0.9802 0.9901
No log 4.3810 276 1.0776 0.5736 1.0776 1.0381
No log 4.4127 278 1.2417 0.5915 1.2417 1.1143
No log 4.4444 280 1.2516 0.5915 1.2516 1.1188
No log 4.4762 282 1.1669 0.5805 1.1669 1.0802
No log 4.5079 284 1.0799 0.5560 1.0799 1.0392
No log 4.5397 286 1.0418 0.5560 1.0418 1.0207
No log 4.5714 288 0.9701 0.5877 0.9701 0.9849
No log 4.6032 290 0.9685 0.5925 0.9685 0.9841
No log 4.6349 292 1.0722 0.5723 1.0722 1.0355
No log 4.6667 294 1.1662 0.5918 1.1662 1.0799
No log 4.6984 296 1.1910 0.5981 1.1910 1.0913
No log 4.7302 298 1.0907 0.5997 1.0907 1.0444
No log 4.7619 300 1.0231 0.5618 1.0231 1.0115
No log 4.7937 302 1.0009 0.5628 1.0009 1.0005
No log 4.8254 304 1.0914 0.5543 1.0914 1.0447
No log 4.8571 306 1.1810 0.5559 1.1810 1.0867
No log 4.8889 308 1.2776 0.5463 1.2776 1.1303
No log 4.9206 310 1.3004 0.5445 1.3004 1.1403
No log 4.9524 312 1.2156 0.5589 1.2156 1.1026
No log 4.9841 314 1.0349 0.5937 1.0349 1.0173
No log 5.0159 316 0.9203 0.6390 0.9203 0.9593
No log 5.0476 318 0.8862 0.6362 0.8862 0.9414
No log 5.0794 320 0.9232 0.6399 0.9232 0.9608
No log 5.1111 322 1.0049 0.5790 1.0049 1.0024
No log 5.1429 324 1.0347 0.5998 1.0347 1.0172
No log 5.1746 326 0.9746 0.6050 0.9746 0.9872
No log 5.2063 328 0.8592 0.6455 0.8592 0.9269
No log 5.2381 330 0.7942 0.6381 0.7942 0.8912
No log 5.2698 332 0.7765 0.6470 0.7765 0.8812
No log 5.3016 334 0.7866 0.6491 0.7866 0.8869
No log 5.3333 336 0.8292 0.6481 0.8292 0.9106
No log 5.3651 338 0.9358 0.6474 0.9358 0.9673
No log 5.3968 340 0.9972 0.6721 0.9972 0.9986
No log 5.4286 342 0.9456 0.6645 0.9456 0.9724
No log 5.4603 344 0.9071 0.6669 0.9071 0.9524
No log 5.4921 346 0.8602 0.6556 0.8602 0.9274
No log 5.5238 348 0.8348 0.6520 0.8348 0.9137
No log 5.5556 350 0.8470 0.6127 0.8470 0.9203
No log 5.5873 352 0.8774 0.5858 0.8774 0.9367
No log 5.6190 354 0.9402 0.6079 0.9402 0.9696
No log 5.6508 356 0.9888 0.6158 0.9888 0.9944
No log 5.6825 358 0.9950 0.6526 0.9950 0.9975
No log 5.7143 360 0.9799 0.6867 0.9799 0.9899
No log 5.7460 362 0.9605 0.6858 0.9605 0.9801
No log 5.7778 364 0.9735 0.6921 0.9735 0.9867
No log 5.8095 366 0.9825 0.6931 0.9825 0.9912
No log 5.8413 368 0.9717 0.6931 0.9717 0.9858
No log 5.8730 370 1.0153 0.6919 1.0153 1.0076
No log 5.9048 372 1.0960 0.6414 1.0960 1.0469
No log 5.9365 374 1.1627 0.5736 1.1627 1.0783
No log 5.9683 376 1.1214 0.5572 1.1214 1.0589
No log 6.0 378 1.0421 0.5768 1.0421 1.0208
No log 6.0317 380 1.0265 0.6158 1.0265 1.0131
No log 6.0635 382 1.0272 0.6142 1.0272 1.0135
No log 6.0952 384 0.9767 0.6321 0.9767 0.9883
No log 6.1270 386 0.9185 0.6369 0.9185 0.9584
No log 6.1587 388 0.9236 0.6240 0.9236 0.9611
No log 6.1905 390 0.9629 0.6065 0.9629 0.9813
No log 6.2222 392 1.0573 0.6099 1.0573 1.0282
No log 6.2540 394 1.1041 0.5916 1.1041 1.0507
No log 6.2857 396 1.0877 0.6119 1.0877 1.0429
No log 6.3175 398 1.0416 0.6095 1.0416 1.0206
No log 6.3492 400 1.0179 0.5960 1.0179 1.0089
No log 6.3810 402 0.9342 0.6061 0.9342 0.9665
No log 6.4127 404 0.8838 0.6218 0.8838 0.9401
No log 6.4444 406 0.8864 0.6332 0.8864 0.9415
No log 6.4762 408 0.9033 0.6204 0.9033 0.9504
No log 6.5079 410 0.9180 0.6107 0.9180 0.9581
No log 6.5397 412 0.9299 0.6107 0.9299 0.9643
No log 6.5714 414 0.9611 0.6107 0.9611 0.9804
No log 6.6032 416 1.0015 0.6177 1.0015 1.0008
No log 6.6349 418 0.9601 0.6205 0.9601 0.9798
No log 6.6667 420 0.9221 0.6153 0.9221 0.9602
No log 6.6984 422 0.9079 0.6280 0.9079 0.9529
No log 6.7302 424 0.8927 0.6440 0.8927 0.9448
No log 6.7619 426 0.9128 0.6378 0.9128 0.9554
No log 6.7937 428 0.9724 0.6393 0.9724 0.9861
No log 6.8254 430 1.0299 0.6243 1.0299 1.0148
No log 6.8571 432 1.1146 0.5988 1.1146 1.0558
No log 6.8889 434 1.2012 0.5849 1.2012 1.0960
No log 6.9206 436 1.2265 0.5828 1.2265 1.1075
No log 6.9524 438 1.1669 0.5727 1.1669 1.0802
No log 6.9841 440 1.0754 0.5846 1.0754 1.0370
No log 7.0159 442 1.0147 0.6170 1.0147 1.0073
No log 7.0476 444 0.9780 0.6277 0.9780 0.9889
No log 7.0794 446 0.9799 0.6262 0.9799 0.9899
No log 7.1111 448 1.0384 0.6219 1.0384 1.0190
No log 7.1429 450 1.0926 0.5954 1.0926 1.0453
No log 7.1746 452 1.1659 0.5865 1.1659 1.0798
No log 7.2063 454 1.2454 0.5718 1.2454 1.1160
No log 7.2381 456 1.2728 0.5719 1.2728 1.1282
No log 7.2698 458 1.2436 0.5862 1.2436 1.1152
No log 7.3016 460 1.1706 0.5661 1.1706 1.0820
No log 7.3333 462 1.0931 0.5838 1.0931 1.0455
No log 7.3651 464 1.0274 0.5839 1.0274 1.0136
No log 7.3968 466 0.9867 0.6087 0.9867 0.9934
No log 7.4286 468 0.9824 0.5808 0.9824 0.9912
No log 7.4603 470 1.0059 0.5711 1.0059 1.0029
No log 7.4921 472 1.0315 0.5758 1.0315 1.0156
No log 7.5238 474 1.0532 0.5848 1.0532 1.0263
No log 7.5556 476 1.0410 0.5947 1.0410 1.0203
No log 7.5873 478 0.9894 0.5863 0.9894 0.9947
No log 7.6190 480 0.9371 0.5901 0.9371 0.9680
No log 7.6508 482 0.8917 0.5938 0.8917 0.9443
No log 7.6825 484 0.8912 0.6009 0.8912 0.9440
No log 7.7143 486 0.8952 0.6009 0.8952 0.9462
No log 7.7460 488 0.9088 0.6111 0.9088 0.9533
No log 7.7778 490 0.9539 0.6262 0.9539 0.9767
No log 7.8095 492 1.0050 0.6082 1.0050 1.0025
No log 7.8413 494 1.0308 0.5959 1.0308 1.0153
No log 7.8730 496 1.0380 0.5959 1.0380 1.0188
No log 7.9048 498 1.0624 0.5981 1.0624 1.0307
0.3385 7.9365 500 1.0816 0.6094 1.0816 1.0400
0.3385 7.9683 502 1.0933 0.6068 1.0933 1.0456
0.3385 8.0 504 1.0700 0.5917 1.0700 1.0344
0.3385 8.0317 506 1.0653 0.5817 1.0653 1.0321
0.3385 8.0635 508 1.0318 0.5887 1.0318 1.0158
0.3385 8.0952 510 0.9965 0.5782 0.9965 0.9982
0.3385 8.1270 512 0.9802 0.5878 0.9802 0.9901
0.3385 8.1587 514 0.9898 0.5887 0.9898 0.9949
0.3385 8.1905 516 0.9820 0.6109 0.9820 0.9910
0.3385 8.2222 518 1.0037 0.6014 1.0037 1.0018
0.3385 8.2540 520 1.0290 0.6103 1.0290 1.0144
0.3385 8.2857 522 1.0339 0.6007 1.0339 1.0168
0.3385 8.3175 524 1.0193 0.6127 1.0193 1.0096
0.3385 8.3492 526 1.0188 0.6001 1.0188 1.0094
0.3385 8.3810 528 1.0161 0.5981 1.0161 1.0080
0.3385 8.4127 530 1.0135 0.5981 1.0135 1.0067
0.3385 8.4444 532 1.0026 0.5878 1.0026 1.0013
0.3385 8.4762 534 0.9907 0.5878 0.9907 0.9954
0.3385 8.5079 536 0.9846 0.5878 0.9846 0.9923
0.3385 8.5397 538 0.9875 0.5747 0.9875 0.9937
0.3385 8.5714 540 1.0002 0.5853 1.0002 1.0001
0.3385 8.6032 542 1.0215 0.5975 1.0215 1.0107
0.3385 8.6349 544 1.0332 0.6072 1.0332 1.0164
0.3385 8.6667 546 1.0274 0.6072 1.0274 1.0136
0.3385 8.6984 548 1.0382 0.6183 1.0382 1.0189
0.3385 8.7302 550 1.0577 0.6094 1.0577 1.0285
0.3385 8.7619 552 1.0612 0.6094 1.0612 1.0302
0.3385 8.7937 554 1.0696 0.6094 1.0696 1.0342
0.3385 8.8254 556 1.0574 0.6094 1.0574 1.0283
0.3385 8.8571 558 1.0383 0.6183 1.0383 1.0190
0.3385 8.8889 560 1.0349 0.6167 1.0349 1.0173
0.3385 8.9206 562 1.0216 0.6072 1.0216 1.0107
0.3385 8.9524 564 1.0115 0.6054 1.0115 1.0057
0.3385 8.9841 566 1.0043 0.6054 1.0043 1.0022
0.3385 9.0159 568 0.9868 0.5955 0.9868 0.9934
0.3385 9.0476 570 0.9809 0.6145 0.9809 0.9904
0.3385 9.0794 572 0.9888 0.5955 0.9888 0.9944
0.3385 9.1111 574 1.0082 0.6054 1.0082 1.0041
0.3385 9.1429 576 1.0376 0.6059 1.0376 1.0186
0.3385 9.1746 578 1.0604 0.6077 1.0604 1.0298
0.3385 9.2063 580 1.0833 0.6077 1.0833 1.0408
0.3385 9.2381 582 1.0908 0.6094 1.0908 1.0444
0.3385 9.2698 584 1.0963 0.6094 1.0963 1.0470
0.3385 9.3016 586 1.0940 0.6094 1.0940 1.0460
0.3385 9.3333 588 1.0835 0.6077 1.0835 1.0409
0.3385 9.3651 590 1.0703 0.6077 1.0703 1.0346
0.3385 9.3968 592 1.0653 0.6077 1.0653 1.0321
0.3385 9.4286 594 1.0609 0.6059 1.0609 1.0300
0.3385 9.4603 596 1.0547 0.6059 1.0547 1.0270
0.3385 9.4921 598 1.0455 0.6059 1.0455 1.0225
0.3385 9.5238 600 1.0390 0.6059 1.0390 1.0193
0.3385 9.5556 602 1.0277 0.6054 1.0277 1.0138
0.3385 9.5873 604 1.0207 0.6054 1.0207 1.0103
0.3385 9.6190 606 1.0171 0.6179 1.0171 1.0085
0.3385 9.6508 608 1.0185 0.6179 1.0185 1.0092
0.3385 9.6825 610 1.0231 0.6179 1.0231 1.0115
0.3385 9.7143 612 1.0228 0.6179 1.0228 1.0113
0.3385 9.7460 614 1.0241 0.6179 1.0241 1.0120
0.3385 9.7778 616 1.0254 0.6179 1.0254 1.0126
0.3385 9.8095 618 1.0253 0.6179 1.0253 1.0126
0.3385 9.8413 620 1.0265 0.6179 1.0265 1.0132
0.3385 9.8730 622 1.0299 0.6181 1.0299 1.0148
0.3385 9.9048 624 1.0340 0.6059 1.0340 1.0168
0.3385 9.9365 626 1.0368 0.6059 1.0368 1.0182
0.3385 9.9683 628 1.0391 0.6059 1.0391 1.0194
0.3385 10.0 630 1.0402 0.6059 1.0402 1.0199

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/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k16_task5_organization

Finetuned
(4040)
this model