ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k18_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: 0.8895
  • Qwk: 0.6907
  • Mse: 0.8895
  • Rmse: 0.9431

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 0.0282 2 2.2799 0.0370 2.2799 1.5099
No log 0.0563 4 1.5818 0.1626 1.5818 1.2577
No log 0.0845 6 1.4825 0.1120 1.4825 1.2176
No log 0.1127 8 1.5519 0.2208 1.5519 1.2457
No log 0.1408 10 1.8153 0.2624 1.8153 1.3473
No log 0.1690 12 2.0691 0.2322 2.0691 1.4384
No log 0.1972 14 1.9458 0.2603 1.9458 1.3949
No log 0.2254 16 1.4862 0.2103 1.4862 1.2191
No log 0.2535 18 1.5155 0.2139 1.5155 1.2311
No log 0.2817 20 1.3223 0.3172 1.3223 1.1499
No log 0.3099 22 1.2619 0.3133 1.2619 1.1233
No log 0.3380 24 1.4336 0.3684 1.4336 1.1973
No log 0.3662 26 1.4067 0.3366 1.4067 1.1861
No log 0.3944 28 1.2567 0.2679 1.2567 1.1210
No log 0.4225 30 1.1295 0.3769 1.1295 1.0628
No log 0.4507 32 1.0869 0.4262 1.0869 1.0425
No log 0.4789 34 1.0677 0.4319 1.0677 1.0333
No log 0.5070 36 1.1167 0.4037 1.1167 1.0567
No log 0.5352 38 1.1233 0.4862 1.1233 1.0599
No log 0.5634 40 1.1673 0.4699 1.1673 1.0804
No log 0.5915 42 1.1099 0.5205 1.1099 1.0535
No log 0.6197 44 1.0282 0.5377 1.0282 1.0140
No log 0.6479 46 1.0101 0.4896 1.0101 1.0050
No log 0.6761 48 1.0019 0.5062 1.0019 1.0010
No log 0.7042 50 1.0816 0.5295 1.0816 1.0400
No log 0.7324 52 1.3517 0.5006 1.3517 1.1626
No log 0.7606 54 1.3421 0.5018 1.3421 1.1585
No log 0.7887 56 1.1414 0.4546 1.1414 1.0683
No log 0.8169 58 1.0141 0.4760 1.0141 1.0070
No log 0.8451 60 1.0275 0.4381 1.0275 1.0137
No log 0.8732 62 1.0048 0.4767 1.0048 1.0024
No log 0.9014 64 1.1401 0.4785 1.1401 1.0678
No log 0.9296 66 1.6614 0.4400 1.6614 1.2890
No log 0.9577 68 1.7935 0.4299 1.7935 1.3392
No log 0.9859 70 1.5888 0.4588 1.5888 1.2605
No log 1.0141 72 1.1873 0.4927 1.1873 1.0896
No log 1.0423 74 0.9897 0.4291 0.9897 0.9948
No log 1.0704 76 0.9858 0.4491 0.9858 0.9929
No log 1.0986 78 1.0274 0.3975 1.0274 1.0136
No log 1.1268 80 1.1989 0.5195 1.1989 1.0949
No log 1.1549 82 1.3040 0.5200 1.3040 1.1420
No log 1.1831 84 1.2285 0.5227 1.2285 1.1084
No log 1.2113 86 1.0726 0.5204 1.0726 1.0356
No log 1.2394 88 0.9333 0.5872 0.9333 0.9661
No log 1.2676 90 0.8859 0.5717 0.8859 0.9412
No log 1.2958 92 0.8912 0.5979 0.8912 0.9441
No log 1.3239 94 1.0058 0.5728 1.0058 1.0029
No log 1.3521 96 1.1223 0.6172 1.1223 1.0594
No log 1.3803 98 1.1681 0.6260 1.1681 1.0808
No log 1.4085 100 1.1879 0.6379 1.1879 1.0899
No log 1.4366 102 1.0572 0.6395 1.0572 1.0282
No log 1.4648 104 0.8404 0.6009 0.8404 0.9168
No log 1.4930 106 0.8867 0.6335 0.8867 0.9416
No log 1.5211 108 1.1850 0.6236 1.1850 1.0886
No log 1.5493 110 1.5866 0.5080 1.5866 1.2596
No log 1.5775 112 1.4348 0.5320 1.4348 1.1979
No log 1.6056 114 0.9776 0.6133 0.9776 0.9887
No log 1.6338 116 0.7623 0.6210 0.7623 0.8731
No log 1.6620 118 0.7494 0.6495 0.7494 0.8657
No log 1.6901 120 0.7496 0.6741 0.7496 0.8658
No log 1.7183 122 0.8282 0.6481 0.8282 0.9100
No log 1.7465 124 1.1345 0.6647 1.1345 1.0651
No log 1.7746 126 1.4199 0.5947 1.4199 1.1916
No log 1.8028 128 1.4758 0.5780 1.4758 1.2148
No log 1.8310 130 1.3693 0.5733 1.3693 1.1702
No log 1.8592 132 1.2738 0.5640 1.2738 1.1286
No log 1.8873 134 1.1284 0.5710 1.1284 1.0623
No log 1.9155 136 1.0526 0.6185 1.0526 1.0260
No log 1.9437 138 1.1309 0.5836 1.1309 1.0634
No log 1.9718 140 1.2399 0.5902 1.2399 1.1135
No log 2.0 142 1.1975 0.6069 1.1975 1.0943
No log 2.0282 144 1.2855 0.6170 1.2855 1.1338
No log 2.0563 146 1.2913 0.6200 1.2913 1.1364
No log 2.0845 148 1.2502 0.6157 1.2502 1.1181
No log 2.1127 150 1.0770 0.6770 1.0770 1.0378
No log 2.1408 152 0.8558 0.6749 0.8558 0.9251
No log 2.1690 154 0.9651 0.6764 0.9651 0.9824
No log 2.1972 156 1.1231 0.6543 1.1231 1.0598
No log 2.2254 158 1.2597 0.6361 1.2597 1.1224
No log 2.2535 160 1.1347 0.6487 1.1347 1.0652
No log 2.2817 162 0.9216 0.6868 0.9216 0.9600
No log 2.3099 164 0.8947 0.7098 0.8947 0.9459
No log 2.3380 166 0.8929 0.7129 0.8929 0.9450
No log 2.3662 168 0.9077 0.7129 0.9077 0.9527
No log 2.3944 170 1.2488 0.6321 1.2488 1.1175
No log 2.4225 172 1.2947 0.6226 1.2947 1.1378
No log 2.4507 174 1.3711 0.6051 1.3711 1.1709
No log 2.4789 176 1.1035 0.6643 1.1035 1.0505
No log 2.5070 178 0.9238 0.7007 0.9238 0.9611
No log 2.5352 180 0.8182 0.7103 0.8182 0.9045
No log 2.5634 182 0.8699 0.7060 0.8699 0.9327
No log 2.5915 184 0.9220 0.6963 0.9220 0.9602
No log 2.6197 186 0.9495 0.6804 0.9495 0.9744
No log 2.6479 188 1.0463 0.6295 1.0463 1.0229
No log 2.6761 190 0.9833 0.6677 0.9833 0.9916
No log 2.7042 192 0.8359 0.7180 0.8359 0.9143
No log 2.7324 194 0.8115 0.7129 0.8115 0.9008
No log 2.7606 196 0.8728 0.7200 0.8728 0.9342
No log 2.7887 198 1.0512 0.6762 1.0512 1.0253
No log 2.8169 200 1.2589 0.6016 1.2589 1.1220
No log 2.8451 202 1.1810 0.5952 1.1810 1.0867
No log 2.8732 204 1.1118 0.6165 1.1118 1.0544
No log 2.9014 206 1.0276 0.6317 1.0276 1.0137
No log 2.9296 208 0.8719 0.6795 0.8719 0.9337
No log 2.9577 210 0.9099 0.6798 0.9099 0.9539
No log 2.9859 212 1.2129 0.6570 1.2129 1.1013
No log 3.0141 214 1.3877 0.6129 1.3877 1.1780
No log 3.0423 216 1.1940 0.6668 1.1940 1.0927
No log 3.0704 218 0.9407 0.6877 0.9407 0.9699
No log 3.0986 220 0.8639 0.6922 0.8639 0.9295
No log 3.1268 222 1.0004 0.6634 1.0004 1.0002
No log 3.1549 224 0.9644 0.6618 0.9644 0.9820
No log 3.1831 226 0.7851 0.7123 0.7851 0.8860
No log 3.2113 228 0.7587 0.7143 0.7587 0.8710
No log 3.2394 230 0.8813 0.6947 0.8813 0.9388
No log 3.2676 232 0.9773 0.6755 0.9773 0.9886
No log 3.2958 234 1.0349 0.6591 1.0349 1.0173
No log 3.3239 236 1.1428 0.6338 1.1428 1.0690
No log 3.3521 238 1.0387 0.6413 1.0387 1.0192
No log 3.3803 240 0.8181 0.7002 0.8181 0.9045
No log 3.4085 242 0.7462 0.6854 0.7462 0.8639
No log 3.4366 244 0.7580 0.6785 0.7580 0.8707
No log 3.4648 246 0.8516 0.6894 0.8516 0.9228
No log 3.4930 248 0.8976 0.7018 0.8976 0.9474
No log 3.5211 250 0.8943 0.6932 0.8943 0.9457
No log 3.5493 252 0.8366 0.6854 0.8366 0.9147
No log 3.5775 254 0.9014 0.7020 0.9014 0.9494
No log 3.6056 256 0.9746 0.6824 0.9746 0.9872
No log 3.6338 258 1.0936 0.6340 1.0936 1.0458
No log 3.6620 260 1.0197 0.6582 1.0197 1.0098
No log 3.6901 262 0.8699 0.6957 0.8699 0.9327
No log 3.7183 264 0.8072 0.6893 0.8072 0.8984
No log 3.7465 266 0.8468 0.7027 0.8468 0.9202
No log 3.7746 268 0.9995 0.6566 0.9995 0.9997
No log 3.8028 270 1.0439 0.6555 1.0439 1.0217
No log 3.8310 272 0.8817 0.6982 0.8817 0.9390
No log 3.8592 274 0.7035 0.7161 0.7035 0.8387
No log 3.8873 276 0.6805 0.7291 0.6805 0.8250
No log 3.9155 278 0.6999 0.6977 0.6999 0.8366
No log 3.9437 280 0.8305 0.6807 0.8305 0.9113
No log 3.9718 282 1.0304 0.6648 1.0304 1.0151
No log 4.0 284 1.0189 0.6648 1.0189 1.0094
No log 4.0282 286 0.8684 0.6861 0.8684 0.9319
No log 4.0563 288 0.6933 0.6997 0.6933 0.8326
No log 4.0845 290 0.6589 0.7308 0.6589 0.8117
No log 4.1127 292 0.6889 0.7208 0.6889 0.8300
No log 4.1408 294 0.7857 0.6807 0.7857 0.8864
No log 4.1690 296 0.8806 0.6820 0.8806 0.9384
No log 4.1972 298 0.9035 0.6806 0.9035 0.9505
No log 4.2254 300 0.8820 0.6806 0.8820 0.9391
No log 4.2535 302 0.9168 0.6728 0.9168 0.9575
No log 4.2817 304 0.9265 0.6728 0.9265 0.9626
No log 4.3099 306 0.9260 0.6583 0.9260 0.9623
No log 4.3380 308 0.8763 0.6762 0.8763 0.9361
No log 4.3662 310 0.7927 0.6967 0.7927 0.8903
No log 4.3944 312 0.8300 0.6793 0.8300 0.9110
No log 4.4225 314 0.9434 0.6603 0.9434 0.9713
No log 4.4507 316 1.1180 0.6542 1.1180 1.0574
No log 4.4789 318 1.1418 0.6320 1.1418 1.0686
No log 4.5070 320 1.0291 0.6512 1.0291 1.0144
No log 4.5352 322 0.8639 0.6703 0.8639 0.9294
No log 4.5634 324 0.7983 0.6873 0.7983 0.8935
No log 4.5915 326 0.7720 0.6741 0.7720 0.8786
No log 4.6197 328 0.8519 0.6458 0.8519 0.9230
No log 4.6479 330 1.0198 0.6218 1.0198 1.0098
No log 4.6761 332 1.0996 0.5691 1.0996 1.0486
No log 4.7042 334 1.0584 0.5820 1.0584 1.0288
No log 4.7324 336 0.9490 0.6430 0.9490 0.9742
No log 4.7606 338 0.8070 0.6668 0.8070 0.8983
No log 4.7887 340 0.6968 0.7080 0.6968 0.8347
No log 4.8169 342 0.6905 0.7177 0.6905 0.8309
No log 4.8451 344 0.7776 0.7130 0.7776 0.8818
No log 4.8732 346 0.9854 0.6733 0.9854 0.9927
No log 4.9014 348 1.2085 0.6398 1.2085 1.0993
No log 4.9296 350 1.2199 0.6209 1.2199 1.1045
No log 4.9577 352 1.0428 0.6508 1.0428 1.0212
No log 4.9859 354 0.8203 0.6854 0.8203 0.9057
No log 5.0141 356 0.7465 0.6956 0.7465 0.8640
No log 5.0423 358 0.7612 0.6842 0.7612 0.8725
No log 5.0704 360 0.8501 0.6575 0.8501 0.9220
No log 5.0986 362 0.9992 0.6696 0.9992 0.9996
No log 5.1268 364 1.0525 0.6743 1.0525 1.0259
No log 5.1549 366 1.0181 0.6688 1.0181 1.0090
No log 5.1831 368 0.9661 0.6752 0.9661 0.9829
No log 5.2113 370 0.9917 0.6589 0.9917 0.9959
No log 5.2394 372 1.0743 0.6369 1.0743 1.0365
No log 5.2676 374 1.1307 0.6132 1.1307 1.0633
No log 5.2958 376 1.1281 0.6101 1.1281 1.0621
No log 5.3239 378 1.0769 0.6215 1.0769 1.0377
No log 5.3521 380 1.0346 0.6330 1.0346 1.0172
No log 5.3803 382 1.0474 0.6626 1.0474 1.0234
No log 5.4085 384 1.0448 0.6757 1.0448 1.0222
No log 5.4366 386 1.0896 0.6688 1.0896 1.0438
No log 5.4648 388 1.0435 0.6937 1.0435 1.0215
No log 5.4930 390 0.9165 0.7050 0.9165 0.9573
No log 5.5211 392 0.8775 0.7007 0.8775 0.9368
No log 5.5493 394 0.8522 0.7022 0.8522 0.9231
No log 5.5775 396 0.8370 0.7037 0.8370 0.9149
No log 5.6056 398 0.7942 0.6873 0.7942 0.8912
No log 5.6338 400 0.8204 0.7037 0.8204 0.9058
No log 5.6620 402 0.8180 0.7037 0.8180 0.9044
No log 5.6901 404 0.8833 0.6975 0.8833 0.9399
No log 5.7183 406 0.9505 0.6736 0.9505 0.9749
No log 5.7465 408 0.9490 0.6928 0.9490 0.9742
No log 5.7746 410 1.0163 0.6726 1.0163 1.0081
No log 5.8028 412 1.0909 0.6517 1.0909 1.0445
No log 5.8310 414 1.0595 0.6666 1.0595 1.0293
No log 5.8592 416 0.9378 0.6728 0.9378 0.9684
No log 5.8873 418 0.8473 0.7112 0.8473 0.9205
No log 5.9155 420 0.8151 0.7303 0.8151 0.9028
No log 5.9437 422 0.8276 0.7090 0.8276 0.9097
No log 5.9718 424 0.8818 0.6829 0.8818 0.9390
No log 6.0 426 0.9561 0.6712 0.9561 0.9778
No log 6.0282 428 0.9661 0.6672 0.9661 0.9829
No log 6.0563 430 0.9138 0.6801 0.9138 0.9559
No log 6.0845 432 0.9269 0.6885 0.9269 0.9627
No log 6.1127 434 1.0388 0.6644 1.0388 1.0192
No log 6.1408 436 1.0860 0.6594 1.0860 1.0421
No log 6.1690 438 1.0209 0.6873 1.0209 1.0104
No log 6.1972 440 0.9143 0.7064 0.9143 0.9562
No log 6.2254 442 0.8795 0.7164 0.8795 0.9378
No log 6.2535 444 0.8765 0.7191 0.8765 0.9362
No log 6.2817 446 0.8860 0.7051 0.8860 0.9413
No log 6.3099 448 0.8858 0.7044 0.8858 0.9412
No log 6.3380 450 0.8291 0.7158 0.8291 0.9105
No log 6.3662 452 0.7551 0.7202 0.7551 0.8690
No log 6.3944 454 0.7347 0.7166 0.7347 0.8572
No log 6.4225 456 0.7571 0.7128 0.7571 0.8701
No log 6.4507 458 0.7872 0.7143 0.7872 0.8872
No log 6.4789 460 0.8759 0.6985 0.8759 0.9359
No log 6.5070 462 0.9126 0.6964 0.9126 0.9553
No log 6.5352 464 0.9086 0.6960 0.9086 0.9532
No log 6.5634 466 0.8957 0.6967 0.8957 0.9464
No log 6.5915 468 0.8383 0.7022 0.8383 0.9156
No log 6.6197 470 0.8394 0.7022 0.8394 0.9162
No log 6.6479 472 0.8715 0.7102 0.8715 0.9335
No log 6.6761 474 0.8790 0.7084 0.8790 0.9375
No log 6.7042 476 0.8762 0.7084 0.8762 0.9361
No log 6.7324 478 0.8428 0.7081 0.8428 0.9180
No log 6.7606 480 0.8160 0.6965 0.8160 0.9033
No log 6.7887 482 0.8383 0.6923 0.8383 0.9156
No log 6.8169 484 0.8670 0.6923 0.8670 0.9312
No log 6.8451 486 0.8724 0.6958 0.8724 0.9340
No log 6.8732 488 0.8556 0.6958 0.8556 0.9250
No log 6.9014 490 0.8863 0.6958 0.8863 0.9414
No log 6.9296 492 0.8884 0.6958 0.8884 0.9426
No log 6.9577 494 0.8539 0.6883 0.8539 0.9241
No log 6.9859 496 0.8077 0.6836 0.8077 0.8987
No log 7.0141 498 0.7782 0.6836 0.7782 0.8821
0.3717 7.0423 500 0.7782 0.6800 0.7782 0.8821
0.3717 7.0704 502 0.8362 0.6842 0.8362 0.9144
0.3717 7.0986 504 0.9130 0.6921 0.9130 0.9555
0.3717 7.1268 506 0.9253 0.6921 0.9253 0.9619
0.3717 7.1549 508 0.9317 0.6903 0.9317 0.9652
0.3717 7.1831 510 0.8946 0.6853 0.8946 0.9458
0.3717 7.2113 512 0.8684 0.6942 0.8684 0.9319
0.3717 7.2394 514 0.8691 0.6859 0.8691 0.9322
0.3717 7.2676 516 0.8837 0.6859 0.8837 0.9401
0.3717 7.2958 518 0.8953 0.6823 0.8953 0.9462
0.3717 7.3239 520 0.9464 0.6756 0.9464 0.9728
0.3717 7.3521 522 1.0017 0.6664 1.0017 1.0008
0.3717 7.3803 524 0.9960 0.6664 0.9960 0.9980
0.3717 7.4085 526 0.9520 0.6798 0.9520 0.9757
0.3717 7.4366 528 0.8840 0.6937 0.8840 0.9402
0.3717 7.4648 530 0.8313 0.6759 0.8313 0.9118
0.3717 7.4930 532 0.8333 0.6759 0.8333 0.9128
0.3717 7.5211 534 0.8304 0.6759 0.8304 0.9113
0.3717 7.5493 536 0.8382 0.6749 0.8382 0.9155
0.3717 7.5775 538 0.8479 0.6836 0.8479 0.9208
0.3717 7.6056 540 0.8527 0.6842 0.8527 0.9234
0.3717 7.6338 542 0.8816 0.6824 0.8816 0.9389
0.3717 7.6620 544 0.9408 0.6870 0.9408 0.9700
0.3717 7.6901 546 1.0303 0.6560 1.0303 1.0151
0.3717 7.7183 548 1.0761 0.6444 1.0761 1.0374
0.3717 7.7465 550 1.0622 0.6499 1.0622 1.0306
0.3717 7.7746 552 1.0042 0.6540 1.0042 1.0021
0.3717 7.8028 554 0.9235 0.6644 0.9235 0.9610
0.3717 7.8310 556 0.8334 0.6822 0.8334 0.9129
0.3717 7.8592 558 0.7801 0.6705 0.7801 0.8832
0.3717 7.8873 560 0.7582 0.6705 0.7582 0.8707
0.3717 7.9155 562 0.7522 0.6797 0.7522 0.8673
0.3717 7.9437 564 0.7625 0.6886 0.7625 0.8732
0.3717 7.9718 566 0.7999 0.6998 0.7999 0.8943
0.3717 8.0 568 0.8750 0.6907 0.8750 0.9354
0.3717 8.0282 570 0.9731 0.6818 0.9731 0.9864
0.3717 8.0563 572 1.0807 0.6514 1.0807 1.0396
0.3717 8.0845 574 1.1530 0.6296 1.1530 1.0738
0.3717 8.1127 576 1.1569 0.6259 1.1569 1.0756
0.3717 8.1408 578 1.1116 0.6364 1.1116 1.0543
0.3717 8.1690 580 1.0792 0.6352 1.0792 1.0388
0.3717 8.1972 582 1.0186 0.6934 1.0186 1.0093
0.3717 8.2254 584 0.9471 0.6989 0.9471 0.9732
0.3717 8.2535 586 0.9007 0.6969 0.9007 0.9490
0.3717 8.2817 588 0.8499 0.6907 0.8499 0.9219
0.3717 8.3099 590 0.8417 0.6907 0.8417 0.9175
0.3717 8.3380 592 0.8515 0.6907 0.8515 0.9228
0.3717 8.3662 594 0.8798 0.6907 0.8798 0.9380
0.3717 8.3944 596 0.8913 0.6907 0.8913 0.9441
0.3717 8.4225 598 0.9149 0.6969 0.9149 0.9565
0.3717 8.4507 600 0.9235 0.6969 0.9235 0.9610
0.3717 8.4789 602 0.9282 0.6969 0.9282 0.9634
0.3717 8.5070 604 0.9474 0.7026 0.9474 0.9734
0.3717 8.5352 606 0.9839 0.7022 0.9839 0.9919
0.3717 8.5634 608 1.0190 0.6728 1.0190 1.0094
0.3717 8.5915 610 1.0130 0.6728 1.0130 1.0065
0.3717 8.6197 612 0.9947 0.6704 0.9947 0.9974
0.3717 8.6479 614 0.9479 0.7007 0.9479 0.9736
0.3717 8.6761 616 0.8917 0.6889 0.8917 0.9443
0.3717 8.7042 618 0.8494 0.6925 0.8494 0.9216
0.3717 8.7324 620 0.8340 0.6925 0.8340 0.9132
0.3717 8.7606 622 0.8295 0.6925 0.8295 0.9108
0.3717 8.7887 624 0.8433 0.6925 0.8433 0.9183
0.3717 8.8169 626 0.8526 0.6925 0.8526 0.9234
0.3717 8.8451 628 0.8673 0.6907 0.8673 0.9313
0.3717 8.8732 630 0.8990 0.6969 0.8990 0.9482
0.3717 8.9014 632 0.9240 0.7026 0.9240 0.9612
0.3717 8.9296 634 0.9448 0.7102 0.9448 0.9720
0.3717 8.9577 636 0.9754 0.7084 0.9754 0.9876
0.3717 8.9859 638 1.0027 0.7050 1.0027 1.0014
0.3717 9.0141 640 1.0363 0.6741 1.0363 1.0180
0.3717 9.0423 642 1.0579 0.6610 1.0579 1.0285
0.3717 9.0704 644 1.0538 0.6523 1.0538 1.0266
0.3717 9.0986 646 1.0316 0.6759 1.0316 1.0157
0.3717 9.1268 648 1.0020 0.6688 1.0020 1.0010
0.3717 9.1549 650 0.9841 0.6688 0.9841 0.9920
0.3717 9.1831 652 0.9648 0.6893 0.9648 0.9823
0.3717 9.2113 654 0.9431 0.6928 0.9431 0.9711
0.3717 9.2394 656 0.9275 0.6871 0.9275 0.9631
0.3717 9.2676 658 0.9180 0.6889 0.9180 0.9581
0.3717 9.2958 660 0.9106 0.6889 0.9106 0.9542
0.3717 9.3239 662 0.8954 0.6907 0.8954 0.9463
0.3717 9.3521 664 0.8915 0.6907 0.8915 0.9442
0.3717 9.3803 666 0.8899 0.6907 0.8899 0.9434
0.3717 9.4085 668 0.9007 0.6889 0.9007 0.9490
0.3717 9.4366 670 0.9052 0.6871 0.9052 0.9514
0.3717 9.4648 672 0.9052 0.6871 0.9052 0.9514
0.3717 9.4930 674 0.9079 0.6871 0.9079 0.9528
0.3717 9.5211 676 0.9093 0.6871 0.9093 0.9536
0.3717 9.5493 678 0.9050 0.6889 0.9050 0.9513
0.3717 9.5775 680 0.9028 0.6889 0.9028 0.9502
0.3717 9.6056 682 0.9016 0.6889 0.9016 0.9495
0.3717 9.6338 684 0.9043 0.6889 0.9043 0.9509
0.3717 9.6620 686 0.9112 0.6871 0.9112 0.9545
0.3717 9.6901 688 0.9136 0.6871 0.9136 0.9558
0.3717 9.7183 690 0.9105 0.6871 0.9105 0.9542
0.3717 9.7465 692 0.9037 0.6871 0.9037 0.9506
0.3717 9.7746 694 0.9012 0.6871 0.9012 0.9493
0.3717 9.8028 696 0.8977 0.6889 0.8977 0.9475
0.3717 9.8310 698 0.8951 0.6889 0.8951 0.9461
0.3717 9.8592 700 0.8942 0.6889 0.8942 0.9456
0.3717 9.8873 702 0.8922 0.6889 0.8922 0.9446
0.3717 9.9155 704 0.8900 0.6907 0.8900 0.9434
0.3717 9.9437 706 0.8900 0.6907 0.8900 0.9434
0.3717 9.9718 708 0.8898 0.6907 0.8898 0.9433
0.3717 10.0 710 0.8895 0.6907 0.8895 0.9431

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
2
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_k18_task5_organization

Finetuned
(4040)
this model