ArabicNewSplits5_FineTuningAraBERT_run3_AugV5_k12_task2_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: 0.7155
  • Qwk: 0.5318
  • Mse: 0.7155
  • Rmse: 0.8459

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 0.0263 2 3.9463 -0.0024 3.9463 1.9865
No log 0.0526 4 2.4229 0.0265 2.4229 1.5566
No log 0.0789 6 1.2623 0.0678 1.2623 1.1235
No log 0.1053 8 1.0542 0.0678 1.0542 1.0267
No log 0.1316 10 1.1553 0.0532 1.1553 1.0748
No log 0.1579 12 0.8322 0.1411 0.8322 0.9122
No log 0.1842 14 0.8287 0.1464 0.8287 0.9103
No log 0.2105 16 0.9181 0.0708 0.9181 0.9582
No log 0.2368 18 0.8593 0.0630 0.8593 0.9270
No log 0.2632 20 0.9314 0.0346 0.9314 0.9651
No log 0.2895 22 0.9066 0.1154 0.9066 0.9521
No log 0.3158 24 0.9799 0.0346 0.9799 0.9899
No log 0.3421 26 1.2587 0.0241 1.2587 1.1219
No log 0.3684 28 1.5691 0.0579 1.5691 1.2526
No log 0.3947 30 2.0518 0.0855 2.0518 1.4324
No log 0.4211 32 2.0534 0.0904 2.0534 1.4330
No log 0.4474 34 1.5621 0.0943 1.5621 1.2498
No log 0.4737 36 1.3013 0.0602 1.3013 1.1407
No log 0.5 38 1.2063 0.0545 1.2063 1.0983
No log 0.5263 40 1.0997 0.0545 1.0997 1.0486
No log 0.5526 42 1.1098 0.0545 1.1098 1.0535
No log 0.5789 44 0.9604 0.0638 0.9604 0.9800
No log 0.6053 46 0.8638 0.0946 0.8638 0.9294
No log 0.6316 48 0.8490 0.1182 0.8490 0.9214
No log 0.6579 50 0.9736 0.1196 0.9736 0.9867
No log 0.6842 52 1.0662 0.0912 1.0662 1.0326
No log 0.7105 54 1.0351 0.1039 1.0351 1.0174
No log 0.7368 56 1.0747 0.1220 1.0747 1.0367
No log 0.7632 58 1.0560 0.1438 1.0560 1.0276
No log 0.7895 60 0.8781 0.1113 0.8781 0.9371
No log 0.8158 62 0.7994 0.2388 0.7994 0.8941
No log 0.8421 64 0.8046 0.2852 0.8046 0.8970
No log 0.8684 66 0.7566 0.3452 0.7566 0.8698
No log 0.8947 68 0.7255 0.4163 0.7255 0.8518
No log 0.9211 70 0.6912 0.4213 0.6912 0.8314
No log 0.9474 72 0.7233 0.3904 0.7233 0.8505
No log 0.9737 74 0.7638 0.2986 0.7638 0.8740
No log 1.0 76 0.7834 0.2915 0.7834 0.8851
No log 1.0263 78 0.7962 0.2899 0.7962 0.8923
No log 1.0526 80 0.8504 0.3467 0.8504 0.9222
No log 1.0789 82 1.0880 0.2994 1.0880 1.0431
No log 1.1053 84 1.4083 0.2524 1.4083 1.1867
No log 1.1316 86 1.4264 0.2524 1.4264 1.1943
No log 1.1579 88 1.4256 0.2668 1.4256 1.1940
No log 1.1842 90 1.1172 0.2491 1.1172 1.0570
No log 1.2105 92 0.7934 0.4298 0.7934 0.8907
No log 1.2368 94 0.7175 0.3880 0.7175 0.8470
No log 1.2632 96 0.7286 0.3626 0.7286 0.8536
No log 1.2895 98 0.7891 0.3690 0.7891 0.8883
No log 1.3158 100 0.7982 0.3374 0.7982 0.8934
No log 1.3421 102 0.7676 0.3334 0.7676 0.8761
No log 1.3684 104 0.8020 0.4060 0.8020 0.8955
No log 1.3947 106 0.7694 0.3730 0.7694 0.8772
No log 1.4211 108 0.6836 0.3942 0.6836 0.8268
No log 1.4474 110 0.6244 0.4434 0.6244 0.7902
No log 1.4737 112 0.6160 0.4587 0.6160 0.7848
No log 1.5 114 0.6205 0.4486 0.6205 0.7877
No log 1.5263 116 0.6399 0.4193 0.6399 0.7999
No log 1.5526 118 0.6843 0.3972 0.6843 0.8272
No log 1.5789 120 0.6984 0.4091 0.6984 0.8357
No log 1.6053 122 0.6412 0.4186 0.6412 0.8007
No log 1.6316 124 0.6426 0.4307 0.6426 0.8016
No log 1.6579 126 0.6886 0.4191 0.6886 0.8298
No log 1.6842 128 0.7267 0.4266 0.7267 0.8525
No log 1.7105 130 0.7327 0.4242 0.7327 0.8560
No log 1.7368 132 0.7036 0.4547 0.7036 0.8388
No log 1.7632 134 0.7222 0.4286 0.7222 0.8498
No log 1.7895 136 0.7247 0.4394 0.7247 0.8513
No log 1.8158 138 0.7303 0.3947 0.7303 0.8546
No log 1.8421 140 0.7509 0.3505 0.7509 0.8665
No log 1.8684 142 0.7536 0.4056 0.7536 0.8681
No log 1.8947 144 0.8105 0.4180 0.8105 0.9003
No log 1.9211 146 0.9514 0.3212 0.9514 0.9754
No log 1.9474 148 0.9555 0.3200 0.9555 0.9775
No log 1.9737 150 0.8546 0.3611 0.8546 0.9244
No log 2.0 152 0.7381 0.4305 0.7381 0.8591
No log 2.0263 154 0.6678 0.3844 0.6678 0.8172
No log 2.0526 156 0.6579 0.3520 0.6579 0.8111
No log 2.0789 158 0.6776 0.4328 0.6776 0.8232
No log 2.1053 160 0.7652 0.4010 0.7652 0.8748
No log 2.1316 162 0.8254 0.3947 0.8254 0.9085
No log 2.1579 164 0.7446 0.4331 0.7446 0.8629
No log 2.1842 166 0.6635 0.4840 0.6635 0.8145
No log 2.2105 168 0.6502 0.4435 0.6502 0.8063
No log 2.2368 170 0.6484 0.4090 0.6484 0.8052
No log 2.2632 172 0.6571 0.4755 0.6571 0.8106
No log 2.2895 174 0.6827 0.4465 0.6827 0.8262
No log 2.3158 176 0.7008 0.4483 0.7008 0.8371
No log 2.3421 178 0.7033 0.4640 0.7033 0.8386
No log 2.3684 180 0.7207 0.4453 0.7207 0.8489
No log 2.3947 182 0.7139 0.4766 0.7139 0.8449
No log 2.4211 184 0.7422 0.4770 0.7422 0.8615
No log 2.4474 186 0.7458 0.4788 0.7458 0.8636
No log 2.4737 188 0.7784 0.4463 0.7784 0.8823
No log 2.5 190 0.8496 0.4332 0.8496 0.9217
No log 2.5263 192 0.7534 0.4547 0.7534 0.8680
No log 2.5526 194 0.6928 0.5114 0.6928 0.8323
No log 2.5789 196 0.7039 0.4788 0.7039 0.8390
No log 2.6053 198 0.8166 0.4301 0.8166 0.9036
No log 2.6316 200 0.8532 0.4318 0.8532 0.9237
No log 2.6579 202 0.7785 0.3962 0.7785 0.8824
No log 2.6842 204 0.6925 0.5130 0.6925 0.8321
No log 2.7105 206 0.7116 0.4945 0.7116 0.8436
No log 2.7368 208 0.7418 0.5093 0.7418 0.8613
No log 2.7632 210 0.7838 0.4890 0.7838 0.8853
No log 2.7895 212 0.7766 0.5160 0.7766 0.8812
No log 2.8158 214 0.7382 0.4758 0.7382 0.8592
No log 2.8421 216 0.7893 0.4360 0.7893 0.8884
No log 2.8684 218 0.8135 0.4412 0.8135 0.9020
No log 2.8947 220 0.7801 0.4530 0.7801 0.8832
No log 2.9211 222 0.7370 0.4867 0.7370 0.8585
No log 2.9474 224 0.7830 0.4629 0.7830 0.8849
No log 2.9737 226 0.8047 0.4266 0.8047 0.8970
No log 3.0 228 0.7564 0.5038 0.7564 0.8697
No log 3.0263 230 0.7406 0.4761 0.7406 0.8606
No log 3.0526 232 0.8057 0.4402 0.8057 0.8976
No log 3.0789 234 0.8367 0.4040 0.8367 0.9147
No log 3.1053 236 0.7892 0.4680 0.7892 0.8884
No log 3.1316 238 0.7148 0.4915 0.7148 0.8455
No log 3.1579 240 0.7225 0.4243 0.7225 0.8500
No log 3.1842 242 0.7743 0.3778 0.7743 0.8799
No log 3.2105 244 0.7387 0.4305 0.7387 0.8595
No log 3.2368 246 0.7123 0.4677 0.7123 0.8440
No log 3.2632 248 0.7255 0.4414 0.7255 0.8518
No log 3.2895 250 0.7524 0.4427 0.7524 0.8674
No log 3.3158 252 0.7659 0.4488 0.7659 0.8752
No log 3.3421 254 0.7462 0.4254 0.7462 0.8638
No log 3.3684 256 0.7293 0.4738 0.7293 0.8540
No log 3.3947 258 0.7706 0.4531 0.7706 0.8778
No log 3.4211 260 0.8738 0.4213 0.8738 0.9347
No log 3.4474 262 0.8529 0.4326 0.8529 0.9235
No log 3.4737 264 0.7645 0.4323 0.7645 0.8743
No log 3.5 266 0.7453 0.5200 0.7453 0.8633
No log 3.5263 268 0.7875 0.4656 0.7875 0.8874
No log 3.5526 270 0.7668 0.4623 0.7668 0.8757
No log 3.5789 272 0.7728 0.4716 0.7728 0.8791
No log 3.6053 274 0.7189 0.5049 0.7189 0.8479
No log 3.6316 276 0.7005 0.5129 0.7005 0.8370
No log 3.6579 278 0.7115 0.4937 0.7115 0.8435
No log 3.6842 280 0.7350 0.4824 0.7350 0.8573
No log 3.7105 282 0.7406 0.4805 0.7406 0.8606
No log 3.7368 284 0.7376 0.5075 0.7376 0.8588
No log 3.7632 286 0.7968 0.4267 0.7968 0.8926
No log 3.7895 288 0.8288 0.4361 0.8288 0.9104
No log 3.8158 290 0.8076 0.4304 0.8076 0.8987
No log 3.8421 292 0.7580 0.4739 0.7580 0.8706
No log 3.8684 294 0.7486 0.4870 0.7486 0.8652
No log 3.8947 296 0.8205 0.4226 0.8205 0.9058
No log 3.9211 298 0.8572 0.4290 0.8572 0.9259
No log 3.9474 300 0.8123 0.4698 0.8123 0.9013
No log 3.9737 302 0.7694 0.4865 0.7694 0.8771
No log 4.0 304 0.7500 0.5068 0.7500 0.8660
No log 4.0263 306 0.8101 0.4482 0.8101 0.9001
No log 4.0526 308 0.8521 0.4722 0.8521 0.9231
No log 4.0789 310 0.8222 0.4540 0.8222 0.9068
No log 4.1053 312 0.7667 0.5032 0.7667 0.8756
No log 4.1316 314 0.7595 0.4476 0.7595 0.8715
No log 4.1579 316 0.7890 0.5086 0.7890 0.8882
No log 4.1842 318 0.7716 0.4982 0.7716 0.8784
No log 4.2105 320 0.7452 0.4971 0.7452 0.8633
No log 4.2368 322 0.7458 0.5012 0.7458 0.8636
No log 4.2632 324 0.7594 0.5073 0.7594 0.8714
No log 4.2895 326 0.7619 0.5052 0.7619 0.8729
No log 4.3158 328 0.7649 0.4870 0.7649 0.8746
No log 4.3421 330 0.7804 0.4970 0.7804 0.8834
No log 4.3684 332 0.8059 0.4945 0.8059 0.8977
No log 4.3947 334 0.8563 0.4686 0.8563 0.9254
No log 4.4211 336 0.8747 0.4682 0.8747 0.9353
No log 4.4474 338 0.8727 0.4677 0.8727 0.9342
No log 4.4737 340 0.8430 0.5036 0.8430 0.9181
No log 4.5 342 0.8403 0.5235 0.8403 0.9167
No log 4.5263 344 0.8673 0.4939 0.8673 0.9313
No log 4.5526 346 0.9008 0.4232 0.9008 0.9491
No log 4.5789 348 0.8792 0.4354 0.8792 0.9376
No log 4.6053 350 0.8235 0.5098 0.8235 0.9075
No log 4.6316 352 0.7734 0.5179 0.7734 0.8794
No log 4.6579 354 0.7352 0.5120 0.7352 0.8574
No log 4.6842 356 0.7144 0.5269 0.7144 0.8452
No log 4.7105 358 0.7055 0.5122 0.7055 0.8399
No log 4.7368 360 0.7035 0.4905 0.7035 0.8388
No log 4.7632 362 0.6870 0.5281 0.6870 0.8289
No log 4.7895 364 0.7118 0.4931 0.7118 0.8437
No log 4.8158 366 0.7576 0.4898 0.7576 0.8704
No log 4.8421 368 0.7684 0.4941 0.7684 0.8766
No log 4.8684 370 0.7510 0.5027 0.7510 0.8666
No log 4.8947 372 0.7333 0.4831 0.7333 0.8563
No log 4.9211 374 0.6888 0.5292 0.6888 0.8299
No log 4.9474 376 0.6614 0.5596 0.6614 0.8133
No log 4.9737 378 0.6590 0.5351 0.6590 0.8118
No log 5.0 380 0.6693 0.5317 0.6693 0.8181
No log 5.0263 382 0.6973 0.4860 0.6973 0.8351
No log 5.0526 384 0.7008 0.5003 0.7008 0.8371
No log 5.0789 386 0.6750 0.5470 0.6750 0.8216
No log 5.1053 388 0.6684 0.5488 0.6684 0.8176
No log 5.1316 390 0.6717 0.5243 0.6717 0.8196
No log 5.1579 392 0.6784 0.5303 0.6784 0.8237
No log 5.1842 394 0.6828 0.5308 0.6828 0.8263
No log 5.2105 396 0.6982 0.5341 0.6982 0.8356
No log 5.2368 398 0.7052 0.5341 0.7052 0.8397
No log 5.2632 400 0.7233 0.4974 0.7233 0.8505
No log 5.2895 402 0.7420 0.5080 0.7420 0.8614
No log 5.3158 404 0.7700 0.5214 0.7700 0.8775
No log 5.3421 406 0.7627 0.5286 0.7627 0.8733
No log 5.3684 408 0.7371 0.5120 0.7371 0.8586
No log 5.3947 410 0.6968 0.5175 0.6968 0.8348
No log 5.4211 412 0.6544 0.5411 0.6544 0.8090
No log 5.4474 414 0.6285 0.5596 0.6285 0.7928
No log 5.4737 416 0.6128 0.5516 0.6128 0.7828
No log 5.5 418 0.5952 0.5632 0.5952 0.7715
No log 5.5263 420 0.6016 0.5332 0.6016 0.7756
No log 5.5526 422 0.6104 0.5415 0.6104 0.7813
No log 5.5789 424 0.6242 0.54 0.6242 0.7901
No log 5.6053 426 0.6413 0.5357 0.6413 0.8008
No log 5.6316 428 0.6643 0.5656 0.6643 0.8151
No log 5.6579 430 0.6931 0.54 0.6931 0.8326
No log 5.6842 432 0.7302 0.5127 0.7302 0.8545
No log 5.7105 434 0.7934 0.5072 0.7934 0.8907
No log 5.7368 436 0.8165 0.4937 0.8165 0.9036
No log 5.7632 438 0.8243 0.4755 0.8243 0.9079
No log 5.7895 440 0.7791 0.5098 0.7791 0.8827
No log 5.8158 442 0.7384 0.5348 0.7384 0.8593
No log 5.8421 444 0.7317 0.5348 0.7317 0.8554
No log 5.8684 446 0.7374 0.5176 0.7374 0.8587
No log 5.8947 448 0.7380 0.5211 0.7380 0.8591
No log 5.9211 450 0.7265 0.5222 0.7265 0.8524
No log 5.9474 452 0.7228 0.5222 0.7228 0.8502
No log 5.9737 454 0.7257 0.5330 0.7257 0.8519
No log 6.0 456 0.7114 0.5164 0.7114 0.8435
No log 6.0263 458 0.7033 0.5192 0.7033 0.8386
No log 6.0526 460 0.6964 0.5405 0.6964 0.8345
No log 6.0789 462 0.6894 0.5078 0.6894 0.8303
No log 6.1053 464 0.6929 0.5020 0.6929 0.8324
No log 6.1316 466 0.6958 0.5078 0.6958 0.8341
No log 6.1579 468 0.6996 0.5267 0.6996 0.8364
No log 6.1842 470 0.7402 0.5036 0.7402 0.8603
No log 6.2105 472 0.8281 0.4910 0.8281 0.9100
No log 6.2368 474 0.8883 0.4547 0.8883 0.9425
No log 6.2632 476 0.8889 0.4547 0.8889 0.9428
No log 6.2895 478 0.8309 0.5135 0.8309 0.9115
No log 6.3158 480 0.7646 0.5190 0.7646 0.8744
No log 6.3421 482 0.7304 0.5150 0.7304 0.8546
No log 6.3684 484 0.7358 0.5020 0.7358 0.8578
No log 6.3947 486 0.7437 0.4963 0.7437 0.8624
No log 6.4211 488 0.7412 0.4969 0.7412 0.8609
No log 6.4474 490 0.7241 0.4942 0.7241 0.8509
No log 6.4737 492 0.7151 0.5384 0.7151 0.8457
No log 6.5 494 0.7016 0.5262 0.7016 0.8376
No log 6.5263 496 0.6921 0.4959 0.6921 0.8320
No log 6.5526 498 0.6870 0.4907 0.6870 0.8289
0.4555 6.5789 500 0.6791 0.4829 0.6791 0.8241
0.4555 6.6053 502 0.6659 0.5127 0.6659 0.8160
0.4555 6.6316 504 0.6776 0.5309 0.6776 0.8232
0.4555 6.6579 506 0.6937 0.5397 0.6937 0.8329
0.4555 6.6842 508 0.7162 0.5068 0.7162 0.8463
0.4555 6.7105 510 0.7291 0.5230 0.7291 0.8538
0.4555 6.7368 512 0.7153 0.5429 0.7153 0.8457
0.4555 6.7632 514 0.7027 0.5313 0.7027 0.8383
0.4555 6.7895 516 0.6972 0.5255 0.6972 0.8350
0.4555 6.8158 518 0.6879 0.5220 0.6879 0.8294
0.4555 6.8421 520 0.6928 0.5133 0.6928 0.8323
0.4555 6.8684 522 0.7020 0.5285 0.7020 0.8379
0.4555 6.8947 524 0.7206 0.5269 0.7206 0.8489
0.4555 6.9211 526 0.7301 0.5168 0.7301 0.8545
0.4555 6.9474 528 0.7205 0.5080 0.7205 0.8488
0.4555 6.9737 530 0.7052 0.5325 0.7052 0.8398
0.4555 7.0 532 0.6937 0.5279 0.6937 0.8329
0.4555 7.0263 534 0.6877 0.5384 0.6877 0.8293
0.4555 7.0526 536 0.6881 0.5370 0.6881 0.8295
0.4555 7.0789 538 0.6963 0.5338 0.6963 0.8344
0.4555 7.1053 540 0.7123 0.5154 0.7123 0.8440
0.4555 7.1316 542 0.7163 0.5154 0.7163 0.8463
0.4555 7.1579 544 0.7052 0.5371 0.7052 0.8398
0.4555 7.1842 546 0.6951 0.5354 0.6951 0.8337
0.4555 7.2105 548 0.6901 0.5243 0.6901 0.8308
0.4555 7.2368 550 0.6882 0.5243 0.6882 0.8296
0.4555 7.2632 552 0.6925 0.5427 0.6925 0.8322
0.4555 7.2895 554 0.7033 0.5381 0.7033 0.8386
0.4555 7.3158 556 0.7097 0.5234 0.7097 0.8424
0.4555 7.3421 558 0.7253 0.5222 0.7253 0.8516
0.4555 7.3684 560 0.7290 0.5222 0.7290 0.8538
0.4555 7.3947 562 0.7402 0.5330 0.7402 0.8604
0.4555 7.4211 564 0.7289 0.5211 0.7289 0.8537
0.4555 7.4474 566 0.7162 0.5222 0.7162 0.8463
0.4555 7.4737 568 0.6998 0.5239 0.6998 0.8365
0.4555 7.5 570 0.6798 0.5351 0.6798 0.8245
0.4555 7.5263 572 0.6711 0.5364 0.6711 0.8192
0.4555 7.5526 574 0.6773 0.5338 0.6773 0.8230
0.4555 7.5789 576 0.6861 0.5397 0.6861 0.8283
0.4555 7.6053 578 0.6907 0.5653 0.6907 0.8311
0.4555 7.6316 580 0.6854 0.5653 0.6854 0.8279
0.4555 7.6579 582 0.6779 0.5411 0.6779 0.8233
0.4555 7.6842 584 0.6780 0.5411 0.6780 0.8234
0.4555 7.7105 586 0.6819 0.5471 0.6819 0.8258
0.4555 7.7368 588 0.6738 0.5425 0.6738 0.8209
0.4555 7.7632 590 0.6728 0.5367 0.6728 0.8203
0.4555 7.7895 592 0.6802 0.5320 0.6802 0.8247
0.4555 7.8158 594 0.6866 0.5320 0.6866 0.8286
0.4555 7.8421 596 0.6879 0.5320 0.6879 0.8294
0.4555 7.8684 598 0.6940 0.5367 0.6940 0.8331
0.4555 7.8947 600 0.7025 0.5245 0.7025 0.8382
0.4555 7.9211 602 0.7130 0.5089 0.7130 0.8444
0.4555 7.9474 604 0.7246 0.5147 0.7246 0.8512
0.4555 7.9737 606 0.7309 0.5147 0.7309 0.8549
0.4555 8.0 608 0.7232 0.5089 0.7232 0.8504
0.4555 8.0263 610 0.7093 0.5267 0.7093 0.8422
0.4555 8.0526 612 0.6956 0.5133 0.6956 0.8340
0.4555 8.0789 614 0.6945 0.5100 0.6945 0.8334
0.4555 8.1053 616 0.6916 0.5039 0.6916 0.8316
0.4555 8.1316 618 0.6856 0.5039 0.6856 0.8280
0.4555 8.1579 620 0.6830 0.5144 0.6830 0.8264
0.4555 8.1842 622 0.6870 0.5320 0.6870 0.8288
0.4555 8.2105 624 0.6976 0.5279 0.6976 0.8352
0.4555 8.2368 626 0.7117 0.5297 0.7117 0.8436
0.4555 8.2632 628 0.7256 0.5200 0.7256 0.8518
0.4555 8.2895 630 0.7273 0.5200 0.7273 0.8528
0.4555 8.3158 632 0.7384 0.5179 0.7384 0.8593
0.4555 8.3421 634 0.7496 0.5235 0.7496 0.8658
0.4555 8.3684 636 0.7586 0.5224 0.7586 0.8710
0.4555 8.3947 638 0.7639 0.5137 0.7639 0.8740
0.4555 8.4211 640 0.7575 0.5224 0.7575 0.8703
0.4555 8.4474 642 0.7592 0.5224 0.7592 0.8713
0.4555 8.4737 644 0.7640 0.5153 0.7640 0.8741
0.4555 8.5 646 0.7548 0.5224 0.7548 0.8688
0.4555 8.5263 648 0.7380 0.5266 0.7380 0.8591
0.4555 8.5526 650 0.7285 0.5592 0.7285 0.8536
0.4555 8.5789 652 0.7209 0.5564 0.7209 0.8491
0.4555 8.6053 654 0.7188 0.5320 0.7188 0.8478
0.4555 8.6316 656 0.7170 0.5444 0.7170 0.8468
0.4555 8.6579 658 0.7164 0.5549 0.7164 0.8464
0.4555 8.6842 660 0.7193 0.5592 0.7193 0.8481
0.4555 8.7105 662 0.7282 0.5266 0.7282 0.8534
0.4555 8.7368 664 0.7439 0.5235 0.7439 0.8625
0.4555 8.7632 666 0.7676 0.4796 0.7676 0.8761
0.4555 8.7895 668 0.7762 0.4834 0.7762 0.8810
0.4555 8.8158 670 0.7734 0.4834 0.7734 0.8794
0.4555 8.8421 672 0.7649 0.4796 0.7649 0.8746
0.4555 8.8684 674 0.7494 0.5153 0.7494 0.8657
0.4555 8.8947 676 0.7300 0.5179 0.7300 0.8544
0.4555 8.9211 678 0.7119 0.5635 0.7119 0.8437
0.4555 8.9474 680 0.6994 0.5608 0.6994 0.8363
0.4555 8.9737 682 0.6946 0.5564 0.6946 0.8334
0.4555 9.0 684 0.6911 0.5564 0.6911 0.8313
0.4555 9.0263 686 0.6891 0.5564 0.6891 0.8301
0.4555 9.0526 688 0.6866 0.5564 0.6866 0.8286
0.4555 9.0789 690 0.6863 0.5624 0.6863 0.8284
0.4555 9.1053 692 0.6891 0.5683 0.6891 0.8301
0.4555 9.1316 694 0.6957 0.5562 0.6957 0.8341
0.4555 9.1579 696 0.7024 0.5330 0.7024 0.8381
0.4555 9.1842 698 0.7115 0.5374 0.7115 0.8435
0.4555 9.2105 700 0.7163 0.5374 0.7163 0.8463
0.4555 9.2368 702 0.7205 0.5235 0.7205 0.8488
0.4555 9.2632 704 0.7206 0.5235 0.7206 0.8489
0.4555 9.2895 706 0.7181 0.5374 0.7181 0.8474
0.4555 9.3158 708 0.7171 0.5318 0.7171 0.8468
0.4555 9.3421 710 0.7167 0.5318 0.7167 0.8466
0.4555 9.3684 712 0.7161 0.5318 0.7161 0.8462
0.4555 9.3947 714 0.7148 0.5318 0.7148 0.8454
0.4555 9.4211 716 0.7125 0.5330 0.7125 0.8441
0.4555 9.4474 718 0.7070 0.5547 0.7070 0.8409
0.4555 9.4737 720 0.7042 0.5635 0.7042 0.8392
0.4555 9.5 722 0.7035 0.5635 0.7035 0.8387
0.4555 9.5263 724 0.7042 0.5635 0.7042 0.8391
0.4555 9.5526 726 0.7048 0.5619 0.7048 0.8395
0.4555 9.5789 728 0.7059 0.5547 0.7059 0.8402
0.4555 9.6053 730 0.7070 0.5473 0.7070 0.8409
0.4555 9.6316 732 0.7073 0.5473 0.7073 0.8410
0.4555 9.6579 734 0.7068 0.5473 0.7068 0.8407
0.4555 9.6842 736 0.7068 0.5473 0.7068 0.8407
0.4555 9.7105 738 0.7079 0.5473 0.7079 0.8414
0.4555 9.7368 740 0.7090 0.5473 0.7090 0.8420
0.4555 9.7632 742 0.7109 0.5473 0.7109 0.8431
0.4555 9.7895 744 0.7123 0.5330 0.7123 0.8440
0.4555 9.8158 746 0.7136 0.5330 0.7136 0.8447
0.4555 9.8421 748 0.7143 0.5318 0.7143 0.8451
0.4555 9.8684 750 0.7152 0.5318 0.7152 0.8457
0.4555 9.8947 752 0.7158 0.5318 0.7158 0.8460
0.4555 9.9211 754 0.7158 0.5318 0.7158 0.8460
0.4555 9.9474 756 0.7158 0.5318 0.7158 0.8460
0.4555 9.9737 758 0.7156 0.5318 0.7156 0.8459
0.4555 10.0 760 0.7155 0.5318 0.7155 0.8459

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/ArabicNewSplits5_FineTuningAraBERT_run3_AugV5_k12_task2_organization

Finetuned
(4040)
this model