Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask4_grammar

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: 0.4946
  • Qwk: 0.5245
  • Mse: 0.4946
  • Rmse: 0.7033

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: 100

Training results

Training Loss Epoch Step Validation Loss Qwk Mse Rmse
No log 0.0187 2 4.6909 0.0067 4.6909 2.1658
No log 0.0374 4 3.3550 0.0504 3.3550 1.8317
No log 0.0561 6 1.8060 0.1151 1.8060 1.3439
No log 0.0748 8 0.9222 0.1800 0.9222 0.9603
No log 0.0935 10 0.8426 0.1258 0.8426 0.9180
No log 0.1121 12 0.8917 0.1169 0.8917 0.9443
No log 0.1308 14 1.0185 0.0879 1.0185 1.0092
No log 0.1495 16 1.0964 0.0863 1.0964 1.0471
No log 0.1682 18 0.9224 0.2409 0.9224 0.9604
No log 0.1869 20 0.8513 0.1995 0.8513 0.9227
No log 0.2056 22 0.7326 0.2205 0.7326 0.8559
No log 0.2243 24 0.6936 0.2493 0.6936 0.8328
No log 0.2430 26 0.6989 0.3637 0.6989 0.8360
No log 0.2617 28 0.7834 0.3652 0.7834 0.8851
No log 0.2804 30 0.6835 0.3956 0.6835 0.8267
No log 0.2991 32 0.6387 0.3739 0.6387 0.7992
No log 0.3178 34 0.7230 0.3301 0.7230 0.8503
No log 0.3364 36 0.7429 0.3196 0.7429 0.8619
No log 0.3551 38 0.6954 0.3338 0.6954 0.8339
No log 0.3738 40 0.6865 0.3419 0.6865 0.8286
No log 0.3925 42 0.6636 0.3361 0.6636 0.8146
No log 0.4112 44 0.6712 0.3367 0.6712 0.8193
No log 0.4299 46 0.7001 0.3346 0.7001 0.8367
No log 0.4486 48 0.7158 0.3153 0.7158 0.8461
No log 0.4673 50 0.6919 0.3314 0.6919 0.8318
No log 0.4860 52 0.6841 0.3344 0.6841 0.8271
No log 0.5047 54 0.6269 0.3067 0.6269 0.7917
No log 0.5234 56 0.6212 0.3513 0.6212 0.7881
No log 0.5421 58 0.6123 0.3793 0.6123 0.7825
No log 0.5607 60 0.5916 0.3094 0.5916 0.7692
No log 0.5794 62 0.6205 0.2840 0.6205 0.7877
No log 0.5981 64 0.5838 0.3333 0.5838 0.7641
No log 0.6168 66 0.5679 0.4087 0.5679 0.7536
No log 0.6355 68 0.5330 0.4381 0.5330 0.7301
No log 0.6542 70 0.5568 0.4050 0.5568 0.7462
No log 0.6729 72 0.5778 0.4466 0.5778 0.7601
No log 0.6916 74 0.7796 0.3016 0.7796 0.8830
No log 0.7103 76 0.8055 0.2610 0.8055 0.8975
No log 0.7290 78 0.8392 0.1976 0.8392 0.9161
No log 0.7477 80 0.8873 0.1131 0.8873 0.9419
No log 0.7664 82 0.9376 0.1404 0.9376 0.9683
No log 0.7850 84 1.0218 0.1780 1.0218 1.0109
No log 0.8037 86 0.9614 0.1926 0.9614 0.9805
No log 0.8224 88 0.7407 0.4210 0.7407 0.8606
No log 0.8411 90 0.5650 0.4620 0.5650 0.7516
No log 0.8598 92 0.5112 0.4219 0.5112 0.7150
No log 0.8785 94 0.5244 0.3832 0.5244 0.7241
No log 0.8972 96 0.5448 0.3759 0.5448 0.7381
No log 0.9159 98 0.5472 0.3533 0.5472 0.7397
No log 0.9346 100 0.5826 0.3699 0.5826 0.7633
No log 0.9533 102 0.6793 0.4322 0.6793 0.8242
No log 0.9720 104 0.7808 0.4309 0.7808 0.8836
No log 0.9907 106 0.7082 0.4691 0.7082 0.8415
No log 1.0093 108 0.6321 0.4551 0.6321 0.7950
No log 1.0280 110 0.5119 0.4712 0.5119 0.7154
No log 1.0467 112 0.4803 0.4973 0.4803 0.6931
No log 1.0654 114 0.4714 0.5047 0.4714 0.6866
No log 1.0841 116 0.4958 0.5252 0.4958 0.7042
No log 1.1028 118 0.6300 0.5123 0.6300 0.7937
No log 1.1215 120 0.6902 0.5153 0.6902 0.8308
No log 1.1402 122 0.6344 0.5549 0.6344 0.7965
No log 1.1589 124 0.5181 0.6337 0.5181 0.7198
No log 1.1776 126 0.5060 0.6224 0.5060 0.7113
No log 1.1963 128 0.5268 0.6368 0.5268 0.7258
No log 1.2150 130 0.5112 0.6431 0.5112 0.7150
No log 1.2336 132 0.4970 0.6516 0.4970 0.7049
No log 1.2523 134 0.4880 0.6287 0.4880 0.6986
No log 1.2710 136 0.5088 0.6221 0.5088 0.7133
No log 1.2897 138 0.5693 0.5806 0.5693 0.7545
No log 1.3084 140 0.6024 0.5615 0.6024 0.7762
No log 1.3271 142 0.6086 0.5236 0.6086 0.7801
No log 1.3458 144 0.4797 0.5731 0.4797 0.6926
No log 1.3645 146 0.4482 0.5821 0.4482 0.6695
No log 1.3832 148 0.4818 0.5926 0.4818 0.6941
No log 1.4019 150 0.4787 0.5917 0.4787 0.6918
No log 1.4206 152 0.4551 0.5398 0.4551 0.6746
No log 1.4393 154 0.5331 0.4403 0.5331 0.7301
No log 1.4579 156 0.6580 0.4073 0.6580 0.8112
No log 1.4766 158 0.7586 0.3895 0.7586 0.8710
No log 1.4953 160 0.7507 0.4276 0.7507 0.8664
No log 1.5140 162 0.6379 0.4460 0.6379 0.7987
No log 1.5327 164 0.5549 0.4837 0.5549 0.7449
No log 1.5514 166 0.4786 0.6031 0.4786 0.6918
No log 1.5701 168 0.4632 0.6238 0.4632 0.6806
No log 1.5888 170 0.4807 0.6470 0.4807 0.6933
No log 1.6075 172 0.4879 0.6186 0.4879 0.6985
No log 1.6262 174 0.6092 0.5360 0.6092 0.7805
No log 1.6449 176 0.7225 0.3810 0.7225 0.8500
No log 1.6636 178 0.7457 0.3395 0.7457 0.8635
No log 1.6822 180 0.6915 0.4367 0.6915 0.8316
No log 1.7009 182 0.5971 0.5079 0.5971 0.7727
No log 1.7196 184 0.4874 0.5671 0.4874 0.6981
No log 1.7383 186 0.4545 0.5565 0.4545 0.6742
No log 1.7570 188 0.4996 0.5464 0.4996 0.7068
No log 1.7757 190 0.4844 0.5489 0.4844 0.6960
No log 1.7944 192 0.4610 0.5210 0.4610 0.6789
No log 1.8131 194 0.4881 0.5564 0.4881 0.6986
No log 1.8318 196 0.5238 0.5738 0.5238 0.7238
No log 1.8505 198 0.5021 0.5872 0.5021 0.7086
No log 1.8692 200 0.4610 0.5851 0.4610 0.6790
No log 1.8879 202 0.5161 0.5477 0.5161 0.7184
No log 1.9065 204 0.4841 0.5699 0.4841 0.6958
No log 1.9252 206 0.4415 0.6101 0.4415 0.6644
No log 1.9439 208 0.5044 0.5768 0.5044 0.7102
No log 1.9626 210 0.5646 0.5234 0.5646 0.7514
No log 1.9813 212 0.5393 0.5046 0.5393 0.7344
No log 2.0 214 0.4874 0.4772 0.4874 0.6982
No log 2.0187 216 0.4948 0.4653 0.4948 0.7034
No log 2.0374 218 0.5073 0.4489 0.5073 0.7122
No log 2.0561 220 0.5328 0.3936 0.5328 0.7299
No log 2.0748 222 0.5639 0.3794 0.5639 0.7509
No log 2.0935 224 0.5730 0.3673 0.5730 0.7570
No log 2.1121 226 0.5888 0.3276 0.5888 0.7673
No log 2.1308 228 0.5698 0.3870 0.5698 0.7548
No log 2.1495 230 0.5221 0.4694 0.5221 0.7226
No log 2.1682 232 0.4869 0.5875 0.4869 0.6978
No log 2.1869 234 0.4779 0.6017 0.4779 0.6913
No log 2.2056 236 0.4587 0.6373 0.4587 0.6773
No log 2.2243 238 0.4770 0.6463 0.4770 0.6906
No log 2.2430 240 0.5380 0.5828 0.5380 0.7335
No log 2.2617 242 0.5793 0.5720 0.5793 0.7611
No log 2.2804 244 0.5067 0.5982 0.5067 0.7118
No log 2.2991 246 0.4665 0.5676 0.4665 0.6830
No log 2.3178 248 0.4592 0.5578 0.4592 0.6777
No log 2.3364 250 0.4638 0.5404 0.4638 0.6810
No log 2.3551 252 0.5172 0.5472 0.5172 0.7191
No log 2.3738 254 0.6020 0.4921 0.6020 0.7759
No log 2.3925 256 0.6448 0.4939 0.6448 0.8030
No log 2.4112 258 0.5623 0.5591 0.5623 0.7499
No log 2.4299 260 0.4486 0.6020 0.4486 0.6698
No log 2.4486 262 0.4297 0.5698 0.4297 0.6555
No log 2.4673 264 0.4221 0.6116 0.4221 0.6497
No log 2.4860 266 0.4321 0.6420 0.4321 0.6573
No log 2.5047 268 0.5164 0.6357 0.5164 0.7186
No log 2.5234 270 0.5749 0.5900 0.5749 0.7582
No log 2.5421 272 0.4987 0.6262 0.4987 0.7062
No log 2.5607 274 0.4699 0.6288 0.4699 0.6855
No log 2.5794 276 0.5253 0.6040 0.5253 0.7248
No log 2.5981 278 0.5125 0.5980 0.5125 0.7159
No log 2.6168 280 0.4667 0.6513 0.4667 0.6832
No log 2.6355 282 0.4391 0.6185 0.4391 0.6627
No log 2.6542 284 0.4485 0.6706 0.4485 0.6697
No log 2.6729 286 0.5413 0.6169 0.5413 0.7358
No log 2.6916 288 0.7172 0.5152 0.7172 0.8469
No log 2.7103 290 0.7016 0.5329 0.7016 0.8376
No log 2.7290 292 0.5335 0.6034 0.5335 0.7304
No log 2.7477 294 0.4575 0.6415 0.4575 0.6764
No log 2.7664 296 0.4277 0.6038 0.4277 0.6540
No log 2.7850 298 0.4262 0.6193 0.4262 0.6528
No log 2.8037 300 0.4214 0.6108 0.4214 0.6492
No log 2.8224 302 0.4229 0.6507 0.4229 0.6503
No log 2.8411 304 0.4155 0.6093 0.4155 0.6446
No log 2.8598 306 0.4679 0.6349 0.4679 0.6840
No log 2.8785 308 0.4657 0.6356 0.4657 0.6824
No log 2.8972 310 0.4787 0.6208 0.4787 0.6919
No log 2.9159 312 0.5411 0.6151 0.5411 0.7356
No log 2.9346 314 0.4876 0.6108 0.4876 0.6983
No log 2.9533 316 0.4206 0.6204 0.4206 0.6485
No log 2.9720 318 0.4224 0.6200 0.4224 0.6499
No log 2.9907 320 0.4367 0.6026 0.4367 0.6608
No log 3.0093 322 0.5085 0.5390 0.5085 0.7131
No log 3.0280 324 0.5996 0.5456 0.5996 0.7743
No log 3.0467 326 0.5840 0.5655 0.5840 0.7642
No log 3.0654 328 0.5168 0.6144 0.5168 0.7189
No log 3.0841 330 0.4641 0.6322 0.4641 0.6813
No log 3.1028 332 0.4594 0.6770 0.4594 0.6778
No log 3.1215 334 0.4794 0.6916 0.4794 0.6924
No log 3.1402 336 0.5288 0.6577 0.5288 0.7272
No log 3.1589 338 0.5831 0.6389 0.5831 0.7636
No log 3.1776 340 0.5270 0.6524 0.5270 0.7260
No log 3.1963 342 0.4278 0.6609 0.4278 0.6541
No log 3.2150 344 0.4226 0.6493 0.4226 0.6501
No log 3.2336 346 0.4175 0.6672 0.4175 0.6461
No log 3.2523 348 0.4628 0.6565 0.4628 0.6803
No log 3.2710 350 0.4828 0.6549 0.4828 0.6948
No log 3.2897 352 0.4547 0.6548 0.4547 0.6743
No log 3.3084 354 0.4429 0.6153 0.4429 0.6655
No log 3.3271 356 0.4685 0.5639 0.4685 0.6845
No log 3.3458 358 0.4661 0.5507 0.4661 0.6827
No log 3.3645 360 0.4614 0.5829 0.4614 0.6792
No log 3.3832 362 0.4663 0.5402 0.4663 0.6829
No log 3.4019 364 0.4685 0.5632 0.4685 0.6844
No log 3.4206 366 0.4967 0.6130 0.4967 0.7048
No log 3.4393 368 0.5437 0.6385 0.5437 0.7373
No log 3.4579 370 0.6294 0.5986 0.6294 0.7934
No log 3.4766 372 0.6688 0.5647 0.6688 0.8178
No log 3.4953 374 0.5939 0.6051 0.5939 0.7706
No log 3.5140 376 0.5189 0.6785 0.5189 0.7204
No log 3.5327 378 0.4826 0.6946 0.4826 0.6947
No log 3.5514 380 0.5590 0.6266 0.5590 0.7476
No log 3.5701 382 0.6080 0.6000 0.6080 0.7797
No log 3.5888 384 0.4495 0.6764 0.4495 0.6705
No log 3.6075 386 0.4134 0.6896 0.4134 0.6430
No log 3.6262 388 0.4689 0.6340 0.4689 0.6847
No log 3.6449 390 0.4628 0.6472 0.4628 0.6803
No log 3.6636 392 0.4298 0.6543 0.4298 0.6556
No log 3.6822 394 0.4038 0.6282 0.4038 0.6355
No log 3.7009 396 0.4084 0.6316 0.4084 0.6390
No log 3.7196 398 0.4341 0.6564 0.4341 0.6589
No log 3.7383 400 0.4665 0.6413 0.4665 0.6830
No log 3.7570 402 0.5091 0.6188 0.5091 0.7135
No log 3.7757 404 0.5099 0.6542 0.5099 0.7141
No log 3.7944 406 0.5958 0.6279 0.5958 0.7719
No log 3.8131 408 0.6455 0.6095 0.6455 0.8034
No log 3.8318 410 0.5262 0.6232 0.5262 0.7254
No log 3.8505 412 0.4311 0.6495 0.4311 0.6566
No log 3.8692 414 0.4412 0.6336 0.4412 0.6642
No log 3.8879 416 0.4283 0.6049 0.4283 0.6544
No log 3.9065 418 0.4452 0.5769 0.4452 0.6672
No log 3.9252 420 0.4954 0.5872 0.4954 0.7039
No log 3.9439 422 0.5485 0.5954 0.5485 0.7406
No log 3.9626 424 0.5847 0.6058 0.5847 0.7646
No log 3.9813 426 0.4560 0.6836 0.4560 0.6753
No log 4.0 428 0.4409 0.6695 0.4409 0.6640
No log 4.0187 430 0.5017 0.6337 0.5017 0.7083
No log 4.0374 432 0.5970 0.6133 0.5970 0.7726
No log 4.0561 434 0.6838 0.5644 0.6838 0.8269
No log 4.0748 436 0.6351 0.5812 0.6351 0.7969
No log 4.0935 438 0.4993 0.6536 0.4993 0.7066
No log 4.1121 440 0.4587 0.6345 0.4587 0.6773
No log 4.1308 442 0.4994 0.6431 0.4994 0.7067
No log 4.1495 444 0.6705 0.6142 0.6705 0.8188
No log 4.1682 446 0.7197 0.6162 0.7197 0.8484
No log 4.1869 448 0.5529 0.6450 0.5529 0.7435
No log 4.2056 450 0.4448 0.6703 0.4448 0.6669
No log 4.2243 452 0.4174 0.6355 0.4174 0.6461
No log 4.2430 454 0.4297 0.6438 0.4297 0.6555
No log 4.2617 456 0.5314 0.6442 0.5314 0.7290
No log 4.2804 458 0.5980 0.5995 0.5980 0.7733
No log 4.2991 460 0.5239 0.6088 0.5239 0.7238
No log 4.3178 462 0.4698 0.6219 0.4698 0.6854
No log 4.3364 464 0.4848 0.6170 0.4848 0.6963
No log 4.3551 466 0.4880 0.5750 0.4880 0.6986
No log 4.3738 468 0.5079 0.6204 0.5079 0.7127
No log 4.3925 470 0.5434 0.5999 0.5434 0.7371
No log 4.4112 472 0.4981 0.6239 0.4981 0.7058
No log 4.4299 474 0.4921 0.6309 0.4921 0.7015
No log 4.4486 476 0.4660 0.6424 0.4660 0.6826
No log 4.4673 478 0.4366 0.6050 0.4366 0.6607
No log 4.4860 480 0.4717 0.6322 0.4717 0.6868
No log 4.5047 482 0.5668 0.6115 0.5668 0.7529
No log 4.5234 484 0.5440 0.6297 0.5440 0.7376
No log 4.5421 486 0.4823 0.5895 0.4823 0.6945
No log 4.5607 488 0.4709 0.6113 0.4709 0.6862
No log 4.5794 490 0.4921 0.6169 0.4921 0.7015
No log 4.5981 492 0.5569 0.6156 0.5569 0.7462
No log 4.6168 494 0.5460 0.6325 0.5460 0.7389
No log 4.6355 496 0.5375 0.6419 0.5375 0.7332
No log 4.6542 498 0.4752 0.6239 0.4752 0.6893
0.5152 4.6729 500 0.4713 0.6180 0.4713 0.6865
0.5152 4.6916 502 0.5551 0.6099 0.5551 0.7450
0.5152 4.7103 504 0.6524 0.6019 0.6524 0.8077
0.5152 4.7290 506 0.5678 0.6216 0.5678 0.7535
0.5152 4.7477 508 0.4535 0.6230 0.4535 0.6734
0.5152 4.7664 510 0.4542 0.6517 0.4542 0.6739
0.5152 4.7850 512 0.5111 0.6368 0.5111 0.7149
0.5152 4.8037 514 0.4801 0.6459 0.4801 0.6929
0.5152 4.8224 516 0.4818 0.6476 0.4818 0.6941
0.5152 4.8411 518 0.5343 0.6469 0.5343 0.7309
0.5152 4.8598 520 0.4977 0.6306 0.4977 0.7055
0.5152 4.8785 522 0.5100 0.6358 0.5100 0.7141
0.5152 4.8972 524 0.6145 0.6005 0.6145 0.7839
0.5152 4.9159 526 0.6761 0.5857 0.6761 0.8222
0.5152 4.9346 528 0.5247 0.6878 0.5247 0.7243
0.5152 4.9533 530 0.4911 0.6990 0.4911 0.7008
0.5152 4.9720 532 0.4745 0.6669 0.4745 0.6888
0.5152 4.9907 534 0.4599 0.6855 0.4599 0.6781
0.5152 5.0093 536 0.6473 0.6019 0.6473 0.8046
0.5152 5.0280 538 0.7257 0.5849 0.7257 0.8519
0.5152 5.0467 540 0.5479 0.6201 0.5479 0.7402
0.5152 5.0654 542 0.4119 0.6353 0.4119 0.6418
0.5152 5.0841 544 0.4255 0.6308 0.4255 0.6523
0.5152 5.1028 546 0.4255 0.6243 0.4255 0.6523
0.5152 5.1215 548 0.4230 0.6337 0.4230 0.6504
0.5152 5.1402 550 0.4778 0.6636 0.4778 0.6912
0.5152 5.1589 552 0.5074 0.6614 0.5074 0.7123
0.5152 5.1776 554 0.5727 0.6121 0.5727 0.7568
0.5152 5.1963 556 0.6526 0.5814 0.6526 0.8078
0.5152 5.2150 558 0.6055 0.6377 0.6055 0.7781
0.5152 5.2336 560 0.6056 0.6369 0.6056 0.7782
0.5152 5.2523 562 0.7271 0.6123 0.7271 0.8527
0.5152 5.2710 564 0.7510 0.5707 0.7510 0.8666
0.5152 5.2897 566 0.6316 0.5895 0.6316 0.7947
0.5152 5.3084 568 0.4594 0.6470 0.4594 0.6778
0.5152 5.3271 570 0.4248 0.6600 0.4248 0.6518
0.5152 5.3458 572 0.4238 0.6409 0.4238 0.6510
0.5152 5.3645 574 0.4787 0.6259 0.4787 0.6919
0.5152 5.3832 576 0.5882 0.5796 0.5882 0.7669
0.5152 5.4019 578 0.5628 0.5983 0.5628 0.7502
0.5152 5.4206 580 0.4385 0.6573 0.4385 0.6622
0.5152 5.4393 582 0.4253 0.6364 0.4253 0.6521
0.5152 5.4579 584 0.4358 0.6150 0.4358 0.6602
0.5152 5.4766 586 0.4464 0.6277 0.4464 0.6682
0.5152 5.4953 588 0.4953 0.6450 0.4953 0.7037
0.5152 5.5140 590 0.6014 0.6147 0.6014 0.7755
0.5152 5.5327 592 0.6139 0.6052 0.6139 0.7835
0.5152 5.5514 594 0.5179 0.6410 0.5179 0.7196
0.5152 5.5701 596 0.4847 0.6447 0.4847 0.6962
0.5152 5.5888 598 0.5227 0.6324 0.5227 0.7230
0.5152 5.6075 600 0.6672 0.5594 0.6672 0.8168
0.5152 5.6262 602 0.6386 0.5335 0.6386 0.7991
0.5152 5.6449 604 0.5325 0.5382 0.5325 0.7297
0.5152 5.6636 606 0.5288 0.5100 0.5288 0.7272
0.5152 5.6822 608 0.4946 0.5245 0.4946 0.7033

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/Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask4_grammar

Finetuned
(4019)
this model