Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask1_development

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: 0.4088
  • Qwk: 0.5376
  • Mse: 0.4088
  • Rmse: 0.6394

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 0.0213 2 3.9661 0.0006 3.9661 1.9915
No log 0.0426 4 2.8142 0.0570 2.8142 1.6775
No log 0.0638 6 1.3758 0.0502 1.3758 1.1729
No log 0.0851 8 0.8573 0.0440 0.8573 0.9259
No log 0.1064 10 0.7581 0.0668 0.7581 0.8707
No log 0.1277 12 0.7360 0.0830 0.7360 0.8579
No log 0.1489 14 0.6776 0.0832 0.6776 0.8232
No log 0.1702 16 0.6691 0.3161 0.6691 0.8180
No log 0.1915 18 0.6032 0.3937 0.6032 0.7767
No log 0.2128 20 0.5791 0.3812 0.5791 0.7610
No log 0.2340 22 0.6016 0.3765 0.6016 0.7757
No log 0.2553 24 0.6617 0.3275 0.6617 0.8135
No log 0.2766 26 0.6540 0.3498 0.6540 0.8087
No log 0.2979 28 0.5786 0.3889 0.5786 0.7607
No log 0.3191 30 0.5534 0.3950 0.5534 0.7439
No log 0.3404 32 0.6693 0.2150 0.6693 0.8181
No log 0.3617 34 0.6927 0.2867 0.6927 0.8323
No log 0.3830 36 0.5389 0.4632 0.5389 0.7341
No log 0.4043 38 0.5280 0.4822 0.5280 0.7266
No log 0.4255 40 0.5358 0.4835 0.5358 0.7320
No log 0.4468 42 0.4939 0.4966 0.4939 0.7028
No log 0.4681 44 0.4797 0.5075 0.4797 0.6926
No log 0.4894 46 0.4909 0.4695 0.4909 0.7006
No log 0.5106 48 0.4905 0.4695 0.4905 0.7004
No log 0.5319 50 0.4793 0.5410 0.4793 0.6923
No log 0.5532 52 0.5706 0.5437 0.5706 0.7554
No log 0.5745 54 0.5039 0.5471 0.5039 0.7098
No log 0.5957 56 0.4814 0.4922 0.4814 0.6938
No log 0.6170 58 0.4793 0.4941 0.4793 0.6923
No log 0.6383 60 0.4930 0.4755 0.4930 0.7021
No log 0.6596 62 0.5077 0.4415 0.5077 0.7125
No log 0.6809 64 0.5329 0.4281 0.5329 0.7300
No log 0.7021 66 0.4572 0.5173 0.4572 0.6762
No log 0.7234 68 0.4331 0.5397 0.4331 0.6581
No log 0.7447 70 0.4294 0.5499 0.4294 0.6553
No log 0.7660 72 0.4208 0.5787 0.4208 0.6487
No log 0.7872 74 0.4638 0.5604 0.4638 0.6810
No log 0.8085 76 0.4346 0.5684 0.4346 0.6592
No log 0.8298 78 0.4511 0.5609 0.4511 0.6716
No log 0.8511 80 0.4506 0.6079 0.4506 0.6713
No log 0.8723 82 0.4315 0.5578 0.4315 0.6569
No log 0.8936 84 0.4510 0.5739 0.4510 0.6716
No log 0.9149 86 0.6624 0.3852 0.6624 0.8139
No log 0.9362 88 0.7905 0.1659 0.7905 0.8891
No log 0.9574 90 0.7080 0.2767 0.7080 0.8414
No log 0.9787 92 0.5450 0.4255 0.5450 0.7382
No log 1.0 94 0.4271 0.5839 0.4271 0.6535
No log 1.0213 96 0.4668 0.6117 0.4668 0.6833
No log 1.0426 98 0.4931 0.6038 0.4931 0.7022
No log 1.0638 100 0.4532 0.6076 0.4532 0.6732
No log 1.0851 102 0.4919 0.6031 0.4919 0.7013
No log 1.1064 104 0.5006 0.5543 0.5006 0.7075
No log 1.1277 106 0.4613 0.5426 0.4613 0.6792
No log 1.1489 108 0.4891 0.5035 0.4891 0.6993
No log 1.1702 110 0.5031 0.4745 0.5031 0.7093
No log 1.1915 112 0.4780 0.4819 0.4780 0.6914
No log 1.2128 114 0.4851 0.4873 0.4851 0.6965
No log 1.2340 116 0.4726 0.5470 0.4726 0.6875
No log 1.2553 118 0.4432 0.5399 0.4432 0.6657
No log 1.2766 120 0.4471 0.5840 0.4471 0.6687
No log 1.2979 122 0.4497 0.5659 0.4497 0.6706
No log 1.3191 124 0.5107 0.5062 0.5107 0.7146
No log 1.3404 126 0.4501 0.5327 0.4501 0.6709
No log 1.3617 128 0.4368 0.5911 0.4368 0.6609
No log 1.3830 130 0.4683 0.5990 0.4683 0.6844
No log 1.4043 132 0.6832 0.5579 0.6832 0.8266
No log 1.4255 134 0.7875 0.4894 0.7875 0.8874
No log 1.4468 136 0.6340 0.5699 0.6340 0.7962
No log 1.4681 138 0.5137 0.5868 0.5137 0.7167
No log 1.4894 140 0.4678 0.5620 0.4678 0.6840
No log 1.5106 142 0.4385 0.5585 0.4385 0.6622
No log 1.5319 144 0.4237 0.6041 0.4237 0.6509
No log 1.5532 146 0.4305 0.5749 0.4305 0.6562
No log 1.5745 148 0.5813 0.5527 0.5813 0.7624
No log 1.5957 150 0.6819 0.4978 0.6819 0.8258
No log 1.6170 152 0.7632 0.5356 0.7632 0.8736
No log 1.6383 154 0.6873 0.5606 0.6873 0.8290
No log 1.6596 156 0.5527 0.6069 0.5527 0.7434
No log 1.6809 158 0.4914 0.6235 0.4914 0.7010
No log 1.7021 160 0.4513 0.5698 0.4513 0.6718
No log 1.7234 162 0.4922 0.5259 0.4922 0.7016
No log 1.7447 164 0.5357 0.4956 0.5357 0.7319
No log 1.7660 166 0.6366 0.4833 0.6366 0.7979
No log 1.7872 168 0.6920 0.4236 0.6920 0.8319
No log 1.8085 170 0.5774 0.4567 0.5774 0.7599
No log 1.8298 172 0.4541 0.4634 0.4541 0.6739
No log 1.8511 174 0.4664 0.4809 0.4664 0.6829
No log 1.8723 176 0.4637 0.5181 0.4637 0.6810
No log 1.8936 178 0.4448 0.5077 0.4448 0.6669
No log 1.9149 180 0.4541 0.4803 0.4541 0.6739
No log 1.9362 182 0.4787 0.4465 0.4787 0.6919
No log 1.9574 184 0.4791 0.4509 0.4791 0.6922
No log 1.9787 186 0.4859 0.4643 0.4859 0.6970
No log 2.0 188 0.4916 0.4921 0.4916 0.7011
No log 2.0213 190 0.5040 0.5278 0.5040 0.7099
No log 2.0426 192 0.4947 0.5283 0.4947 0.7034
No log 2.0638 194 0.4736 0.5391 0.4736 0.6882
No log 2.0851 196 0.4618 0.4665 0.4618 0.6796
No log 2.1064 198 0.4611 0.4778 0.4611 0.6790
No log 2.1277 200 0.4483 0.5074 0.4483 0.6696
No log 2.1489 202 0.4489 0.5480 0.4489 0.6700
No log 2.1702 204 0.4656 0.5593 0.4656 0.6823
No log 2.1915 206 0.4482 0.5474 0.4482 0.6695
No log 2.2128 208 0.4487 0.5227 0.4487 0.6699
No log 2.2340 210 0.5469 0.4400 0.5469 0.7395
No log 2.2553 212 0.7247 0.3853 0.7247 0.8513
No log 2.2766 214 0.6856 0.3684 0.6856 0.8280
No log 2.2979 216 0.5270 0.3905 0.5270 0.7259
No log 2.3191 218 0.4537 0.4889 0.4537 0.6736
No log 2.3404 220 0.4555 0.5166 0.4555 0.6749
No log 2.3617 222 0.4364 0.5333 0.4364 0.6606
No log 2.3830 224 0.4357 0.5555 0.4357 0.6600
No log 2.4043 226 0.5339 0.5511 0.5339 0.7307
No log 2.4255 228 0.6457 0.5215 0.6457 0.8036
No log 2.4468 230 0.6696 0.5236 0.6696 0.8183
No log 2.4681 232 0.6229 0.5307 0.6229 0.7892
No log 2.4894 234 0.5367 0.5788 0.5367 0.7326
No log 2.5106 236 0.5040 0.5810 0.5040 0.7099
No log 2.5319 238 0.4577 0.5682 0.4577 0.6765
No log 2.5532 240 0.4783 0.5195 0.4783 0.6916
No log 2.5745 242 0.4666 0.4917 0.4666 0.6831
No log 2.5957 244 0.4885 0.4597 0.4885 0.6989
No log 2.6170 246 0.4939 0.4501 0.4939 0.7028
No log 2.6383 248 0.4492 0.5435 0.4492 0.6703
No log 2.6596 250 0.4392 0.5359 0.4392 0.6628
No log 2.6809 252 0.5860 0.5539 0.5860 0.7655
No log 2.7021 254 0.5884 0.5417 0.5884 0.7671
No log 2.7234 256 0.4743 0.5152 0.4743 0.6887
No log 2.7447 258 0.4565 0.5130 0.4565 0.6756
No log 2.7660 260 0.5037 0.3659 0.5037 0.7097
No log 2.7872 262 0.5783 0.2961 0.5783 0.7605
No log 2.8085 264 0.5960 0.3071 0.5960 0.7720
No log 2.8298 266 0.5651 0.3744 0.5651 0.7517
No log 2.8511 268 0.4834 0.5467 0.4834 0.6952
No log 2.8723 270 0.4120 0.6208 0.4120 0.6418
No log 2.8936 272 0.4382 0.6142 0.4382 0.6620
No log 2.9149 274 0.4525 0.6080 0.4525 0.6727
No log 2.9362 276 0.4681 0.6217 0.4681 0.6841
No log 2.9574 278 0.5913 0.5677 0.5913 0.7689
No log 2.9787 280 0.6915 0.4377 0.6915 0.8316
No log 3.0 282 0.8460 0.3413 0.8460 0.9198
No log 3.0213 284 0.8891 0.2589 0.8891 0.9429
No log 3.0426 286 0.7502 0.3368 0.7502 0.8662
No log 3.0638 288 0.5640 0.4077 0.5640 0.7510
No log 3.0851 290 0.6634 0.3049 0.6634 0.8145
No log 3.1064 292 0.6560 0.3207 0.6560 0.8099
No log 3.1277 294 0.5246 0.5175 0.5246 0.7243
No log 3.1489 296 0.4454 0.5169 0.4454 0.6674
No log 3.1702 298 0.4860 0.4285 0.4860 0.6971
No log 3.1915 300 0.5543 0.5088 0.5543 0.7445
No log 3.2128 302 0.5703 0.5592 0.5703 0.7552
No log 3.2340 304 0.6814 0.5316 0.6814 0.8255
No log 3.2553 306 0.5497 0.5704 0.5497 0.7414
No log 3.2766 308 0.4852 0.5788 0.4852 0.6966
No log 3.2979 310 0.4808 0.5853 0.4808 0.6934
No log 3.3191 312 0.4876 0.6232 0.4876 0.6983
No log 3.3404 314 0.4442 0.5722 0.4442 0.6665
No log 3.3617 316 0.4602 0.5201 0.4602 0.6784
No log 3.3830 318 0.5018 0.4900 0.5018 0.7084
No log 3.4043 320 0.4665 0.5059 0.4665 0.6830
No log 3.4255 322 0.4330 0.5721 0.4330 0.6580
No log 3.4468 324 0.4265 0.5661 0.4265 0.6531
No log 3.4681 326 0.4309 0.5708 0.4309 0.6565
No log 3.4894 328 0.4452 0.5651 0.4452 0.6672
No log 3.5106 330 0.4438 0.5648 0.4438 0.6662
No log 3.5319 332 0.4198 0.5478 0.4198 0.6479
No log 3.5532 334 0.4053 0.5411 0.4053 0.6366
No log 3.5745 336 0.4120 0.5259 0.4120 0.6419
No log 3.5957 338 0.4094 0.5385 0.4094 0.6398
No log 3.6170 340 0.4232 0.5686 0.4232 0.6505
No log 3.6383 342 0.4051 0.5656 0.4051 0.6365
No log 3.6596 344 0.4120 0.5688 0.4120 0.6419
No log 3.6809 346 0.4502 0.5418 0.4502 0.6710
No log 3.7021 348 0.4652 0.5069 0.4652 0.6820
No log 3.7234 350 0.4670 0.5426 0.4670 0.6834
No log 3.7447 352 0.5051 0.5283 0.5051 0.7107
No log 3.7660 354 0.4791 0.5605 0.4791 0.6921
No log 3.7872 356 0.4123 0.5928 0.4123 0.6421
No log 3.8085 358 0.3877 0.5926 0.3877 0.6226
No log 3.8298 360 0.3934 0.5989 0.3934 0.6273
No log 3.8511 362 0.3935 0.5523 0.3935 0.6273
No log 3.8723 364 0.4069 0.5750 0.4069 0.6379
No log 3.8936 366 0.4524 0.5934 0.4524 0.6726
No log 3.9149 368 0.5945 0.5394 0.5945 0.7711
No log 3.9362 370 0.6755 0.5534 0.6755 0.8219
No log 3.9574 372 0.6053 0.5956 0.6053 0.7780
No log 3.9787 374 0.4928 0.6326 0.4928 0.7020
No log 4.0 376 0.4880 0.6508 0.4880 0.6986
No log 4.0213 378 0.4584 0.6462 0.4584 0.6771
No log 4.0426 380 0.4568 0.6149 0.4568 0.6758
No log 4.0638 382 0.4601 0.5931 0.4601 0.6783
No log 4.0851 384 0.4218 0.5833 0.4218 0.6495
No log 4.1064 386 0.4170 0.5574 0.4170 0.6458
No log 4.1277 388 0.4103 0.5575 0.4103 0.6406
No log 4.1489 390 0.4059 0.5597 0.4059 0.6371
No log 4.1702 392 0.4462 0.5944 0.4462 0.6680
No log 4.1915 394 0.4308 0.6010 0.4308 0.6563
No log 4.2128 396 0.4690 0.5524 0.4690 0.6848
No log 4.2340 398 0.4814 0.5282 0.4814 0.6938
No log 4.2553 400 0.5534 0.5092 0.5534 0.7439
No log 4.2766 402 0.6290 0.5354 0.6290 0.7931
No log 4.2979 404 0.6553 0.5475 0.6553 0.8095
No log 4.3191 406 0.5146 0.6036 0.5146 0.7174
No log 4.3404 408 0.5226 0.6054 0.5226 0.7229
No log 4.3617 410 0.6431 0.5968 0.6431 0.8020
No log 4.3830 412 0.6137 0.5980 0.6137 0.7834
No log 4.4043 414 0.6730 0.5499 0.6730 0.8204
No log 4.4255 416 0.5656 0.5738 0.5656 0.7521
No log 4.4468 418 0.4316 0.6334 0.4316 0.6570
No log 4.4681 420 0.4480 0.5767 0.4480 0.6693
No log 4.4894 422 0.4281 0.5523 0.4281 0.6543
No log 4.5106 424 0.4249 0.5525 0.4249 0.6518
No log 4.5319 426 0.4029 0.5712 0.4029 0.6348
No log 4.5532 428 0.4092 0.6486 0.4092 0.6397
No log 4.5745 430 0.4363 0.6061 0.4363 0.6606
No log 4.5957 432 0.4401 0.5857 0.4401 0.6634
No log 4.6170 434 0.4174 0.6027 0.4174 0.6460
No log 4.6383 436 0.4183 0.5956 0.4183 0.6467
No log 4.6596 438 0.3976 0.6053 0.3976 0.6305
No log 4.6809 440 0.4289 0.6319 0.4289 0.6549
No log 4.7021 442 0.5079 0.6080 0.5079 0.7126
No log 4.7234 444 0.5477 0.5795 0.5477 0.7401
No log 4.7447 446 0.5512 0.5918 0.5512 0.7424
No log 4.7660 448 0.5499 0.6019 0.5499 0.7415
No log 4.7872 450 0.4962 0.5989 0.4962 0.7044
No log 4.8085 452 0.4837 0.6148 0.4837 0.6955
No log 4.8298 454 0.4119 0.6346 0.4119 0.6418
No log 4.8511 456 0.4047 0.5990 0.4047 0.6362
No log 4.8723 458 0.4108 0.5605 0.4108 0.6409
No log 4.8936 460 0.4426 0.4997 0.4426 0.6653
No log 4.9149 462 0.5077 0.4524 0.5077 0.7125
No log 4.9362 464 0.4933 0.5046 0.4933 0.7024
No log 4.9574 466 0.4723 0.5452 0.4723 0.6872
No log 4.9787 468 0.4308 0.5926 0.4308 0.6564
No log 5.0 470 0.4272 0.5785 0.4272 0.6536
No log 5.0213 472 0.4132 0.5911 0.4132 0.6428
No log 5.0426 474 0.4730 0.6206 0.4730 0.6877
No log 5.0638 476 0.5411 0.5917 0.5411 0.7356
No log 5.0851 478 0.4614 0.6025 0.4614 0.6792
No log 5.1064 480 0.4207 0.5840 0.4207 0.6486
No log 5.1277 482 0.4282 0.5737 0.4282 0.6544
No log 5.1489 484 0.5156 0.5876 0.5156 0.7181
No log 5.1702 486 0.5548 0.5716 0.5548 0.7448
No log 5.1915 488 0.4640 0.6395 0.4640 0.6812
No log 5.2128 490 0.4520 0.6008 0.4520 0.6723
No log 5.2340 492 0.4696 0.6422 0.4696 0.6852
No log 5.2553 494 0.5115 0.6101 0.5115 0.7152
No log 5.2766 496 0.5953 0.5710 0.5953 0.7716
No log 5.2979 498 0.5338 0.6147 0.5338 0.7306
0.4408 5.3191 500 0.4227 0.5767 0.4227 0.6502
0.4408 5.3404 502 0.4154 0.5858 0.4154 0.6445
0.4408 5.3617 504 0.4910 0.6080 0.4910 0.7007
0.4408 5.3830 506 0.6428 0.5427 0.6428 0.8017
0.4408 5.4043 508 0.5662 0.5934 0.5662 0.7525
0.4408 5.4255 510 0.4544 0.6087 0.4544 0.6741
0.4408 5.4468 512 0.4561 0.5974 0.4561 0.6753
0.4408 5.4681 514 0.5265 0.5743 0.5265 0.7256
0.4408 5.4894 516 0.6612 0.5555 0.6612 0.8131
0.4408 5.5106 518 0.5593 0.6011 0.5593 0.7479
0.4408 5.5319 520 0.4783 0.6292 0.4783 0.6916
0.4408 5.5532 522 0.4702 0.5976 0.4702 0.6857
0.4408 5.5745 524 0.4426 0.6160 0.4426 0.6653
0.4408 5.5957 526 0.4581 0.6378 0.4581 0.6769
0.4408 5.6170 528 0.5307 0.5955 0.5307 0.7285
0.4408 5.6383 530 0.5133 0.6090 0.5133 0.7164
0.4408 5.6596 532 0.4372 0.6279 0.4372 0.6612
0.4408 5.6809 534 0.4346 0.6228 0.4346 0.6592
0.4408 5.7021 536 0.4987 0.5880 0.4987 0.7062
0.4408 5.7234 538 0.6290 0.5233 0.6290 0.7931
0.4408 5.7447 540 0.5660 0.5294 0.5660 0.7523
0.4408 5.7660 542 0.4648 0.6267 0.4648 0.6818
0.4408 5.7872 544 0.4184 0.6184 0.4184 0.6468
0.4408 5.8085 546 0.4122 0.6284 0.4122 0.6420
0.4408 5.8298 548 0.4384 0.6273 0.4384 0.6621
0.4408 5.8511 550 0.5868 0.5337 0.5868 0.7660
0.4408 5.8723 552 0.7145 0.5199 0.7145 0.8453
0.4408 5.8936 554 0.5561 0.5821 0.5561 0.7457
0.4408 5.9149 556 0.4488 0.6387 0.4488 0.6700
0.4408 5.9362 558 0.4575 0.6300 0.4575 0.6764
0.4408 5.9574 560 0.5166 0.6150 0.5166 0.7188
0.4408 5.9787 562 0.7070 0.5283 0.7070 0.8408
0.4408 6.0 564 0.6845 0.5256 0.6845 0.8273
0.4408 6.0213 566 0.4975 0.5945 0.4975 0.7054
0.4408 6.0426 568 0.4445 0.5716 0.4445 0.6667
0.4408 6.0638 570 0.4293 0.5760 0.4293 0.6552
0.4408 6.0851 572 0.4427 0.6201 0.4427 0.6653
0.4408 6.1064 574 0.5550 0.5536 0.5550 0.7450
0.4408 6.1277 576 0.5314 0.5714 0.5314 0.7290
0.4408 6.1489 578 0.4474 0.5914 0.4474 0.6689
0.4408 6.1702 580 0.4070 0.6072 0.4070 0.6380
0.4408 6.1915 582 0.4053 0.5952 0.4053 0.6366
0.4408 6.2128 584 0.4212 0.6040 0.4212 0.6490
0.4408 6.2340 586 0.5671 0.5313 0.5671 0.7531
0.4408 6.2553 588 0.6355 0.4988 0.6355 0.7972
0.4408 6.2766 590 0.5195 0.5689 0.5195 0.7208
0.4408 6.2979 592 0.4083 0.5654 0.4083 0.6390
0.4408 6.3191 594 0.4088 0.5376 0.4088 0.6394

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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