ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k15_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: 0.9658
  • Qwk: 0.6862
  • Mse: 0.9658
  • Rmse: 0.9827

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 0.0364 2 2.2453 0.0370 2.2453 1.4984
No log 0.0727 4 1.4327 0.2091 1.4327 1.1970
No log 0.1091 6 1.3899 0.1595 1.3899 1.1789
No log 0.1455 8 1.7154 0.2212 1.7154 1.3097
No log 0.1818 10 1.6875 0.1571 1.6875 1.2990
No log 0.2182 12 1.5447 0.1456 1.5447 1.2429
No log 0.2545 14 1.4835 0.1283 1.4835 1.2180
No log 0.2909 16 1.4502 0.1283 1.4502 1.2042
No log 0.3273 18 1.4372 0.0859 1.4372 1.1988
No log 0.3636 20 1.4336 0.0645 1.4336 1.1973
No log 0.4 22 1.4076 0.0859 1.4076 1.1864
No log 0.4364 24 1.3912 0.1071 1.3912 1.1795
No log 0.4727 26 1.3440 0.1071 1.3440 1.1593
No log 0.5091 28 1.3451 0.1343 1.3451 1.1598
No log 0.5455 30 1.3615 0.2632 1.3615 1.1668
No log 0.5818 32 1.3466 0.1865 1.3466 1.1604
No log 0.6182 34 1.3278 0.1931 1.3278 1.1523
No log 0.6545 36 1.4267 0.3055 1.4267 1.1945
No log 0.6909 38 1.6309 0.3294 1.6309 1.2771
No log 0.7273 40 1.6769 0.3182 1.6769 1.2950
No log 0.7636 42 1.3207 0.3603 1.3207 1.1492
No log 0.8 44 1.2401 0.2833 1.2401 1.1136
No log 0.8364 46 1.3308 0.3054 1.3308 1.1536
No log 0.8727 48 1.2311 0.3166 1.2311 1.1096
No log 0.9091 50 1.1445 0.3375 1.1445 1.0698
No log 0.9455 52 1.3741 0.3490 1.3741 1.1722
No log 0.9818 54 1.5550 0.3367 1.5550 1.2470
No log 1.0182 56 1.4816 0.2989 1.4816 1.2172
No log 1.0545 58 1.2843 0.2898 1.2843 1.1333
No log 1.0909 60 1.1899 0.3086 1.1899 1.0908
No log 1.1273 62 1.2334 0.2603 1.2334 1.1106
No log 1.1636 64 1.1775 0.2820 1.1775 1.0851
No log 1.2 66 1.1483 0.2667 1.1483 1.0716
No log 1.2364 68 1.2233 0.3056 1.2233 1.1060
No log 1.2727 70 1.3033 0.3691 1.3033 1.1416
No log 1.3091 72 1.3503 0.4742 1.3503 1.1620
No log 1.3455 74 1.3999 0.4227 1.3999 1.1832
No log 1.3818 76 1.3743 0.4019 1.3743 1.1723
No log 1.4182 78 1.2277 0.4384 1.2277 1.1080
No log 1.4545 80 1.1177 0.3778 1.1177 1.0572
No log 1.4909 82 1.0525 0.4460 1.0525 1.0259
No log 1.5273 84 1.0017 0.4818 1.0017 1.0008
No log 1.5636 86 0.9741 0.5267 0.9741 0.9870
No log 1.6 88 1.0266 0.5376 1.0266 1.0132
No log 1.6364 90 1.0700 0.5393 1.0700 1.0344
No log 1.6727 92 0.9774 0.5273 0.9774 0.9886
No log 1.7091 94 0.9599 0.5576 0.9599 0.9797
No log 1.7455 96 0.9649 0.5524 0.9649 0.9823
No log 1.7818 98 1.0923 0.5854 1.0923 1.0451
No log 1.8182 100 1.3236 0.4811 1.3236 1.1505
No log 1.8545 102 1.3186 0.4597 1.3186 1.1483
No log 1.8909 104 1.1309 0.5507 1.1309 1.0634
No log 1.9273 106 0.9688 0.5697 0.9688 0.9843
No log 1.9636 108 0.9287 0.5480 0.9287 0.9637
No log 2.0 110 0.9155 0.5850 0.9155 0.9568
No log 2.0364 112 0.9439 0.5528 0.9439 0.9716
No log 2.0727 114 0.9965 0.5027 0.9965 0.9983
No log 2.1091 116 1.1356 0.5003 1.1356 1.0657
No log 2.1455 118 1.2031 0.5105 1.2031 1.0969
No log 2.1818 120 1.0027 0.5802 1.0027 1.0013
No log 2.2182 122 0.9428 0.5791 0.9428 0.9710
No log 2.2545 124 0.9734 0.5802 0.9734 0.9866
No log 2.2909 126 0.9158 0.5917 0.9158 0.9570
No log 2.3273 128 0.9891 0.5589 0.9891 0.9945
No log 2.3636 130 1.2393 0.5295 1.2393 1.1133
No log 2.4 132 1.4200 0.5169 1.4200 1.1916
No log 2.4364 134 1.2798 0.5746 1.2798 1.1313
No log 2.4727 136 1.0010 0.5939 1.0010 1.0005
No log 2.5091 138 0.9602 0.6077 0.9602 0.9799
No log 2.5455 140 1.0535 0.6364 1.0535 1.0264
No log 2.5818 142 1.3492 0.5312 1.3492 1.1615
No log 2.6182 144 1.5619 0.4976 1.5619 1.2497
No log 2.6545 146 1.6355 0.4474 1.6355 1.2789
No log 2.6909 148 1.4750 0.4739 1.4750 1.2145
No log 2.7273 150 1.2620 0.5587 1.2620 1.1234
No log 2.7636 152 1.0937 0.5867 1.0937 1.0458
No log 2.8 154 0.9934 0.6267 0.9934 0.9967
No log 2.8364 156 0.9719 0.6273 0.9719 0.9859
No log 2.8727 158 1.0746 0.6451 1.0746 1.0367
No log 2.9091 160 1.1260 0.6354 1.1260 1.0611
No log 2.9455 162 1.0244 0.6364 1.0244 1.0121
No log 2.9818 164 0.8993 0.6449 0.8993 0.9483
No log 3.0182 166 0.9877 0.6093 0.9877 0.9938
No log 3.0545 168 1.0669 0.6121 1.0669 1.0329
No log 3.0909 170 1.2198 0.6002 1.2198 1.1045
No log 3.1273 172 1.2913 0.5697 1.2913 1.1363
No log 3.1636 174 1.1909 0.6339 1.1909 1.0913
No log 3.2 176 0.9149 0.6963 0.9149 0.9565
No log 3.2364 178 0.7903 0.6863 0.7903 0.8890
No log 3.2727 180 0.7730 0.6829 0.7730 0.8792
No log 3.3091 182 0.8216 0.6954 0.8216 0.9064
No log 3.3455 184 0.8956 0.6793 0.8956 0.9463
No log 3.3818 186 0.8932 0.6669 0.8932 0.9451
No log 3.4182 188 0.8398 0.6722 0.8398 0.9164
No log 3.4545 190 0.9343 0.6130 0.9343 0.9666
No log 3.4909 192 1.1841 0.5861 1.1841 1.0881
No log 3.5273 194 1.4000 0.5046 1.4000 1.1832
No log 3.5636 196 1.3887 0.5125 1.3887 1.1784
No log 3.6 198 1.1908 0.5690 1.1908 1.0912
No log 3.6364 200 0.9456 0.5933 0.9456 0.9724
No log 3.6727 202 0.8591 0.6175 0.8591 0.9269
No log 3.7091 204 0.8710 0.6234 0.8710 0.9333
No log 3.7455 206 0.9551 0.6091 0.9551 0.9773
No log 3.7818 208 1.1267 0.6158 1.1267 1.0615
No log 3.8182 210 1.3735 0.5587 1.3735 1.1720
No log 3.8545 212 1.4552 0.5690 1.4552 1.2063
No log 3.8909 214 1.2720 0.6295 1.2720 1.1278
No log 3.9273 216 0.9987 0.6579 0.9987 0.9993
No log 3.9636 218 0.8241 0.6775 0.8241 0.9078
No log 4.0 220 0.8343 0.6555 0.8343 0.9134
No log 4.0364 222 0.9790 0.6213 0.9790 0.9895
No log 4.0727 224 1.1424 0.6044 1.1424 1.0688
No log 4.1091 226 1.1005 0.5921 1.1005 1.0490
No log 4.1455 228 0.9005 0.6114 0.9005 0.9490
No log 4.1818 230 0.7905 0.6159 0.7905 0.8891
No log 4.2182 232 0.8231 0.6086 0.8231 0.9073
No log 4.2545 234 0.9425 0.6167 0.9425 0.9708
No log 4.2909 236 1.0982 0.5819 1.0982 1.0480
No log 4.3273 238 1.1524 0.5808 1.1524 1.0735
No log 4.3636 240 1.1241 0.5808 1.1241 1.0603
No log 4.4 242 1.1047 0.5965 1.1047 1.0510
No log 4.4364 244 1.1673 0.5850 1.1673 1.0804
No log 4.4727 246 1.2871 0.5518 1.2871 1.1345
No log 4.5091 248 1.2995 0.5370 1.2995 1.1400
No log 4.5455 250 1.1759 0.5619 1.1759 1.0844
No log 4.5818 252 1.1688 0.5745 1.1688 1.0811
No log 4.6182 254 1.1699 0.5745 1.1699 1.0816
No log 4.6545 256 1.2243 0.5544 1.2243 1.1065
No log 4.6909 258 1.1866 0.5505 1.1866 1.0893
No log 4.7273 260 1.1148 0.5664 1.1148 1.0558
No log 4.7636 262 1.0288 0.6117 1.0288 1.0143
No log 4.8 264 1.0790 0.5976 1.0790 1.0387
No log 4.8364 266 1.2702 0.5541 1.2702 1.1270
No log 4.8727 268 1.4952 0.5058 1.4952 1.2228
No log 4.9091 270 1.5313 0.5111 1.5313 1.2375
No log 4.9455 272 1.3882 0.5117 1.3882 1.1782
No log 4.9818 274 1.1208 0.6183 1.1208 1.0587
No log 5.0182 276 0.8694 0.6605 0.8694 0.9324
No log 5.0545 278 0.7892 0.6617 0.7892 0.8883
No log 5.0909 280 0.8076 0.6538 0.8076 0.8987
No log 5.1273 282 0.9115 0.6440 0.9115 0.9547
No log 5.1636 284 1.1190 0.5958 1.1190 1.0578
No log 5.2 286 1.2911 0.5364 1.2911 1.1363
No log 5.2364 288 1.2797 0.5483 1.2797 1.1312
No log 5.2727 290 1.1161 0.6090 1.1161 1.0565
No log 5.3091 292 0.9271 0.6540 0.9271 0.9629
No log 5.3455 294 0.8617 0.6958 0.8617 0.9283
No log 5.3818 296 0.8925 0.6754 0.8925 0.9447
No log 5.4182 298 0.9179 0.6745 0.9179 0.9581
No log 5.4545 300 0.9724 0.6759 0.9724 0.9861
No log 5.4909 302 0.9997 0.6538 0.9997 0.9998
No log 5.5273 304 0.9698 0.6538 0.9698 0.9848
No log 5.5636 306 0.9926 0.6618 0.9926 0.9963
No log 5.6 308 1.1338 0.6440 1.1338 1.0648
No log 5.6364 310 1.2425 0.6056 1.2425 1.1147
No log 5.6727 312 1.3660 0.5115 1.3660 1.1688
No log 5.7091 314 1.3476 0.4799 1.3476 1.1609
No log 5.7455 316 1.2585 0.5324 1.2585 1.1218
No log 5.7818 318 1.1409 0.5702 1.1409 1.0681
No log 5.8182 320 1.1374 0.5638 1.1374 1.0665
No log 5.8545 322 1.1939 0.5308 1.1939 1.0926
No log 5.8909 324 1.3106 0.4937 1.3106 1.1448
No log 5.9273 326 1.2935 0.5232 1.2935 1.1373
No log 5.9636 328 1.2683 0.5232 1.2683 1.1262
No log 6.0 330 1.2526 0.5459 1.2526 1.1192
No log 6.0364 332 1.2491 0.5492 1.2491 1.1176
No log 6.0727 334 1.2125 0.5868 1.2125 1.1012
No log 6.1091 336 1.1700 0.5917 1.1700 1.0817
No log 6.1455 338 1.0700 0.6123 1.0700 1.0344
No log 6.1818 340 1.0194 0.6294 1.0194 1.0096
No log 6.2182 342 1.0340 0.6468 1.0340 1.0168
No log 6.2545 344 1.1091 0.5876 1.1091 1.0532
No log 6.2909 346 1.2132 0.5567 1.2132 1.1014
No log 6.3273 348 1.2734 0.5282 1.2734 1.1284
No log 6.3636 350 1.2512 0.5254 1.2512 1.1186
No log 6.4 352 1.1657 0.5522 1.1657 1.0797
No log 6.4364 354 1.0870 0.6088 1.0870 1.0426
No log 6.4727 356 1.0618 0.6224 1.0618 1.0305
No log 6.5091 358 1.0779 0.6286 1.0779 1.0382
No log 6.5455 360 1.0322 0.6622 1.0322 1.0160
No log 6.5818 362 0.9907 0.6655 0.9907 0.9953
No log 6.6182 364 1.0007 0.6558 1.0007 1.0004
No log 6.6545 366 1.0116 0.6528 1.0116 1.0058
No log 6.6909 368 1.0633 0.6262 1.0633 1.0311
No log 6.7273 370 1.0699 0.6176 1.0699 1.0344
No log 6.7636 372 1.0713 0.6176 1.0713 1.0350
No log 6.8 374 1.0316 0.6499 1.0316 1.0157
No log 6.8364 376 1.0466 0.6499 1.0466 1.0230
No log 6.8727 378 1.0468 0.6589 1.0468 1.0231
No log 6.9091 380 1.0005 0.6551 1.0005 1.0003
No log 6.9455 382 0.9899 0.6645 0.9899 0.9950
No log 6.9818 384 0.9911 0.6731 0.9911 0.9955
No log 7.0182 386 1.0260 0.6521 1.0260 1.0129
No log 7.0545 388 1.0608 0.6280 1.0608 1.0300
No log 7.0909 390 1.1223 0.5982 1.1223 1.0594
No log 7.1273 392 1.1541 0.5971 1.1541 1.0743
No log 7.1636 394 1.1347 0.6127 1.1347 1.0652
No log 7.2 396 1.0622 0.6300 1.0622 1.0307
No log 7.2364 398 0.9518 0.6698 0.9518 0.9756
No log 7.2727 400 0.8318 0.6816 0.8318 0.9120
No log 7.3091 402 0.7913 0.6851 0.7913 0.8896
No log 7.3455 404 0.8102 0.6805 0.8102 0.9001
No log 7.3818 406 0.8697 0.6807 0.8697 0.9326
No log 7.4182 408 0.9992 0.6792 0.9992 0.9996
No log 7.4545 410 1.1143 0.6141 1.1143 1.0556
No log 7.4909 412 1.1546 0.5966 1.1546 1.0745
No log 7.5273 414 1.1511 0.6014 1.1511 1.0729
No log 7.5636 416 1.1183 0.6014 1.1183 1.0575
No log 7.6 418 1.0913 0.5997 1.0913 1.0446
No log 7.6364 420 1.0383 0.6335 1.0383 1.0189
No log 7.6727 422 1.0328 0.6351 1.0328 1.0163
No log 7.7091 424 1.0162 0.6351 1.0162 1.0080
No log 7.7455 426 0.9807 0.6590 0.9807 0.9903
No log 7.7818 428 0.9959 0.6409 0.9959 0.9979
No log 7.8182 430 1.0336 0.6300 1.0336 1.0167
No log 7.8545 432 1.1087 0.6024 1.1087 1.0530
No log 7.8909 434 1.1974 0.5860 1.1974 1.0943
No log 7.9273 436 1.2110 0.5860 1.2110 1.1004
No log 7.9636 438 1.1648 0.5973 1.1648 1.0793
No log 8.0 440 1.1009 0.6014 1.1009 1.0493
No log 8.0364 442 1.0642 0.6211 1.0642 1.0316
No log 8.0727 444 1.0374 0.6280 1.0374 1.0185
No log 8.1091 446 0.9903 0.6647 0.9903 0.9951
No log 8.1455 448 0.9216 0.6849 0.9216 0.9600
No log 8.1818 450 0.8973 0.6891 0.8973 0.9473
No log 8.2182 452 0.8906 0.6891 0.8906 0.9437
No log 8.2545 454 0.9199 0.6972 0.9199 0.9591
No log 8.2909 456 0.9493 0.6672 0.9493 0.9743
No log 8.3273 458 0.9990 0.6555 0.9990 0.9995
No log 8.3636 460 1.0251 0.6301 1.0251 1.0125
No log 8.4 462 1.0550 0.6236 1.0550 1.0271
No log 8.4364 464 1.0422 0.6236 1.0422 1.0209
No log 8.4727 466 1.0156 0.6399 1.0156 1.0077
No log 8.5091 468 0.9581 0.6663 0.9581 0.9788
No log 8.5455 470 0.9195 0.6918 0.9195 0.9589
No log 8.5818 472 0.9076 0.6918 0.9076 0.9527
No log 8.6182 474 0.9243 0.6918 0.9243 0.9614
No log 8.6545 476 0.9455 0.6842 0.9455 0.9724
No log 8.6909 478 0.9831 0.6583 0.9831 0.9915
No log 8.7273 480 1.0018 0.6343 1.0018 1.0009
No log 8.7636 482 1.0067 0.6361 1.0067 1.0034
No log 8.8 484 1.0108 0.6361 1.0108 1.0054
No log 8.8364 486 1.0221 0.6361 1.0221 1.0110
No log 8.8727 488 1.0390 0.6067 1.0390 1.0193
No log 8.9091 490 1.0511 0.6067 1.0511 1.0252
No log 8.9455 492 1.0655 0.5982 1.0655 1.0322
No log 8.9818 494 1.0681 0.6071 1.0681 1.0335
No log 9.0182 496 1.0422 0.6155 1.0422 1.0209
No log 9.0545 498 1.0350 0.6155 1.0350 1.0173
0.3527 9.0909 500 1.0312 0.6155 1.0312 1.0155
0.3527 9.1273 502 1.0441 0.6155 1.0441 1.0218
0.3527 9.1636 504 1.0439 0.6155 1.0439 1.0217
0.3527 9.2 506 1.0406 0.6155 1.0406 1.0201
0.3527 9.2364 508 1.0259 0.6168 1.0259 1.0129
0.3527 9.2727 510 1.0251 0.6168 1.0251 1.0124
0.3527 9.3091 512 1.0225 0.6168 1.0225 1.0112
0.3527 9.3455 514 1.0112 0.6341 1.0112 1.0056
0.3527 9.3818 516 0.9892 0.6639 0.9892 0.9946
0.3527 9.4182 518 0.9736 0.6815 0.9736 0.9867
0.3527 9.4545 520 0.9666 0.6781 0.9666 0.9832
0.3527 9.4909 522 0.9708 0.6781 0.9708 0.9853
0.3527 9.5273 524 0.9804 0.6722 0.9804 0.9901
0.3527 9.5636 526 0.9841 0.6722 0.9841 0.9920
0.3527 9.6 528 0.9917 0.6697 0.9917 0.9959
0.3527 9.6364 530 0.9939 0.6535 0.9939 0.9969
0.3527 9.6727 532 0.9927 0.6697 0.9927 0.9964
0.3527 9.7091 534 0.9899 0.6697 0.9899 0.9949
0.3527 9.7455 536 0.9823 0.6804 0.9823 0.9911
0.3527 9.7818 538 0.9723 0.6862 0.9723 0.9861
0.3527 9.8182 540 0.9657 0.6862 0.9657 0.9827
0.3527 9.8545 542 0.9650 0.6862 0.9650 0.9824
0.3527 9.8909 544 0.9661 0.6862 0.9661 0.9829
0.3527 9.9273 546 0.9665 0.6862 0.9665 0.9831
0.3527 9.9636 548 0.9659 0.6862 0.9659 0.9828
0.3527 10.0 550 0.9658 0.6862 0.9658 0.9827

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_FineTuningAraBERT_run3_AugV5_k15_task5_organization

Finetuned
(4040)
this model