ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k2_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: 0.8463
  • Qwk: 0.4242
  • Mse: 0.8463
  • Rmse: 0.9199

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 0.2222 2 4.6611 -0.0132 4.6611 2.1590
No log 0.4444 4 2.8839 -0.0233 2.8839 1.6982
No log 0.6667 6 1.6576 0.0372 1.6576 1.2875
No log 0.8889 8 1.5754 0.0372 1.5754 1.2551
No log 1.1111 10 1.2487 0.2278 1.2487 1.1175
No log 1.3333 12 1.1588 0.2142 1.1588 1.0765
No log 1.5556 14 1.1591 0.1482 1.1591 1.0766
No log 1.7778 16 1.1665 0.3663 1.1665 1.0800
No log 2.0 18 1.2615 0.0776 1.2615 1.1232
No log 2.2222 20 1.2770 0.0838 1.2770 1.1300
No log 2.4444 22 1.3426 0.0426 1.3426 1.1587
No log 2.6667 24 1.2832 0.0512 1.2832 1.1328
No log 2.8889 26 1.2647 0.0838 1.2647 1.1246
No log 3.1111 28 1.1501 0.2886 1.1501 1.0724
No log 3.3333 30 1.1653 0.1935 1.1653 1.0795
No log 3.5556 32 1.1212 0.2991 1.1212 1.0588
No log 3.7778 34 1.1653 0.1136 1.1653 1.0795
No log 4.0 36 1.4015 0.2112 1.4015 1.1838
No log 4.2222 38 1.4656 0.2471 1.4656 1.2106
No log 4.4444 40 1.2101 0.2242 1.2101 1.1001
No log 4.6667 42 1.0996 0.2709 1.0996 1.0486
No log 4.8889 44 1.0924 0.4031 1.0924 1.0452
No log 5.1111 46 1.2047 0.2772 1.2047 1.0976
No log 5.3333 48 1.1399 0.3256 1.1399 1.0677
No log 5.5556 50 1.0694 0.2877 1.0694 1.0341
No log 5.7778 52 1.1973 0.2368 1.1973 1.0942
No log 6.0 54 1.2785 0.3006 1.2785 1.1307
No log 6.2222 56 1.1825 0.3716 1.1825 1.0874
No log 6.4444 58 1.0231 0.4660 1.0231 1.0115
No log 6.6667 60 1.0184 0.4515 1.0184 1.0092
No log 6.8889 62 0.9606 0.4835 0.9606 0.9801
No log 7.1111 64 1.1235 0.4384 1.1235 1.0600
No log 7.3333 66 1.2295 0.3605 1.2295 1.1088
No log 7.5556 68 0.9477 0.5011 0.9477 0.9735
No log 7.7778 70 1.0520 0.4988 1.0520 1.0257
No log 8.0 72 1.1078 0.4758 1.1078 1.0525
No log 8.2222 74 0.9455 0.3779 0.9455 0.9723
No log 8.4444 76 0.9336 0.4982 0.9336 0.9662
No log 8.6667 78 0.9588 0.5131 0.9588 0.9792
No log 8.8889 80 0.9487 0.4982 0.9487 0.9740
No log 9.1111 82 0.9485 0.4747 0.9485 0.9739
No log 9.3333 84 0.9952 0.4630 0.9952 0.9976
No log 9.5556 86 0.9488 0.4847 0.9488 0.9741
No log 9.7778 88 1.0591 0.4554 1.0591 1.0291
No log 10.0 90 1.1812 0.4035 1.1812 1.0868
No log 10.2222 92 0.9458 0.4832 0.9458 0.9725
No log 10.4444 94 1.0657 0.4534 1.0657 1.0323
No log 10.6667 96 0.9813 0.4088 0.9813 0.9906
No log 10.8889 98 0.9574 0.4848 0.9574 0.9785
No log 11.1111 100 1.1947 0.3792 1.1947 1.0930
No log 11.3333 102 1.0234 0.4866 1.0234 1.0116
No log 11.5556 104 0.8565 0.4728 0.8565 0.9255
No log 11.7778 106 0.8909 0.4201 0.8909 0.9439
No log 12.0 108 0.9674 0.4368 0.9674 0.9836
No log 12.2222 110 0.9211 0.4201 0.9211 0.9597
No log 12.4444 112 0.9117 0.5216 0.9117 0.9548
No log 12.6667 114 0.9818 0.4964 0.9818 0.9909
No log 12.8889 116 0.9258 0.4002 0.9258 0.9622
No log 13.1111 118 0.9643 0.4166 0.9643 0.9820
No log 13.3333 120 0.9723 0.4378 0.9723 0.9860
No log 13.5556 122 0.8968 0.4076 0.8968 0.9470
No log 13.7778 124 0.8852 0.3892 0.8852 0.9409
No log 14.0 126 0.8653 0.3631 0.8653 0.9302
No log 14.2222 128 0.8949 0.4919 0.8949 0.9460
No log 14.4444 130 0.8766 0.3631 0.8766 0.9362
No log 14.6667 132 0.8889 0.3211 0.8889 0.9428
No log 14.8889 134 0.9460 0.4255 0.9460 0.9726
No log 15.1111 136 1.0380 0.4758 1.0380 1.0188
No log 15.3333 138 0.9529 0.4003 0.9529 0.9762
No log 15.5556 140 0.8934 0.3237 0.8934 0.9452
No log 15.7778 142 0.9012 0.3652 0.9012 0.9493
No log 16.0 144 0.9298 0.2972 0.9298 0.9642
No log 16.2222 146 1.0336 0.4405 1.0336 1.0166
No log 16.4444 148 1.0257 0.4186 1.0257 1.0127
No log 16.6667 150 0.9556 0.3073 0.9556 0.9775
No log 16.8889 152 0.9076 0.3270 0.9076 0.9527
No log 17.1111 154 0.9002 0.3478 0.9002 0.9488
No log 17.3333 156 0.9580 0.3887 0.9580 0.9788
No log 17.5556 158 0.9879 0.4302 0.9879 0.9939
No log 17.7778 160 1.0064 0.4487 1.0064 1.0032
No log 18.0 162 0.9450 0.4289 0.9450 0.9721
No log 18.2222 164 0.8992 0.4050 0.8992 0.9483
No log 18.4444 166 0.8944 0.4768 0.8944 0.9457
No log 18.6667 168 0.8998 0.3191 0.8998 0.9486
No log 18.8889 170 0.9619 0.3667 0.9619 0.9808
No log 19.1111 172 0.9843 0.3409 0.9843 0.9921
No log 19.3333 174 0.9326 0.3186 0.9326 0.9657
No log 19.5556 176 0.9152 0.3165 0.9152 0.9567
No log 19.7778 178 0.9446 0.3667 0.9446 0.9719
No log 20.0 180 0.9584 0.3945 0.9584 0.9790
No log 20.2222 182 0.9138 0.4699 0.9138 0.9559
No log 20.4444 184 0.9338 0.4699 0.9338 0.9663
No log 20.6667 186 0.9288 0.4370 0.9288 0.9637
No log 20.8889 188 0.9425 0.4022 0.9425 0.9708
No log 21.1111 190 1.0175 0.4508 1.0175 1.0087
No log 21.3333 192 1.0035 0.4098 1.0035 1.0017
No log 21.5556 194 0.9134 0.3165 0.9134 0.9557
No log 21.7778 196 0.8695 0.3380 0.8695 0.9324
No log 22.0 198 0.8556 0.3819 0.8556 0.9250
No log 22.2222 200 0.8638 0.4401 0.8638 0.9294
No log 22.4444 202 0.8865 0.5256 0.8865 0.9416
No log 22.6667 204 0.8794 0.5256 0.8794 0.9377
No log 22.8889 206 0.8814 0.4694 0.8814 0.9388
No log 23.1111 208 0.9086 0.4131 0.9086 0.9532
No log 23.3333 210 0.8783 0.4165 0.8783 0.9372
No log 23.5556 212 0.8660 0.3936 0.8660 0.9306
No log 23.7778 214 0.8383 0.4318 0.8383 0.9156
No log 24.0 216 0.8450 0.5327 0.8450 0.9192
No log 24.2222 218 0.8516 0.5322 0.8516 0.9228
No log 24.4444 220 0.9234 0.4638 0.9234 0.9609
No log 24.6667 222 1.0707 0.4498 1.0707 1.0347
No log 24.8889 224 1.0682 0.4328 1.0682 1.0335
No log 25.1111 226 0.9777 0.4638 0.9777 0.9888
No log 25.3333 228 0.9215 0.4572 0.9215 0.9600
No log 25.5556 230 0.9103 0.3412 0.9103 0.9541
No log 25.7778 232 0.9325 0.3716 0.9325 0.9656
No log 26.0 234 1.0316 0.4007 1.0316 1.0157
No log 26.2222 236 1.1597 0.3537 1.1597 1.0769
No log 26.4444 238 1.1979 0.3025 1.1979 1.0945
No log 26.6667 240 1.1384 0.3771 1.1384 1.0670
No log 26.8889 242 1.0326 0.3954 1.0326 1.0162
No log 27.1111 244 0.9750 0.3042 0.9750 0.9874
No log 27.3333 246 0.9924 0.3486 0.9924 0.9962
No log 27.5556 248 0.9785 0.3486 0.9785 0.9892
No log 27.7778 250 0.9502 0.3506 0.9502 0.9748
No log 28.0 252 0.9541 0.3979 0.9541 0.9768
No log 28.2222 254 0.9311 0.3874 0.9311 0.9649
No log 28.4444 256 0.9100 0.4405 0.9100 0.9539
No log 28.6667 258 0.8910 0.4534 0.8910 0.9439
No log 28.8889 260 0.8799 0.4143 0.8799 0.9380
No log 29.1111 262 0.8787 0.4948 0.8787 0.9374
No log 29.3333 264 0.8723 0.5431 0.8723 0.9339
No log 29.5556 266 0.8658 0.5184 0.8658 0.9305
No log 29.7778 268 0.8717 0.4820 0.8717 0.9336
No log 30.0 270 0.8959 0.3936 0.8959 0.9465
No log 30.2222 272 0.9424 0.3478 0.9424 0.9708
No log 30.4444 274 0.9511 0.3349 0.9511 0.9753
No log 30.6667 276 0.9358 0.3478 0.9358 0.9673
No log 30.8889 278 0.9585 0.3528 0.9585 0.9791
No log 31.1111 280 0.9313 0.4375 0.9313 0.9650
No log 31.3333 282 0.8775 0.4934 0.8775 0.9368
No log 31.5556 284 0.8761 0.5439 0.8761 0.9360
No log 31.7778 286 0.8901 0.5376 0.8901 0.9434
No log 32.0 288 0.8742 0.5370 0.8742 0.9350
No log 32.2222 290 0.8787 0.5259 0.8787 0.9374
No log 32.4444 292 0.9219 0.4166 0.9219 0.9601
No log 32.6667 294 0.9052 0.4293 0.9052 0.9514
No log 32.8889 296 0.8734 0.4429 0.8734 0.9346
No log 33.1111 298 0.8688 0.4429 0.8688 0.9321
No log 33.3333 300 0.8541 0.3998 0.8541 0.9242
No log 33.5556 302 0.8639 0.4356 0.8639 0.9294
No log 33.7778 304 0.8632 0.4512 0.8632 0.9291
No log 34.0 306 0.8767 0.4587 0.8767 0.9363
No log 34.2222 308 0.8926 0.4747 0.8926 0.9448
No log 34.4444 310 0.9064 0.4747 0.9064 0.9521
No log 34.6667 312 0.9136 0.4454 0.9136 0.9558
No log 34.8889 314 0.9290 0.4237 0.9290 0.9638
No log 35.1111 316 0.9472 0.3771 0.9472 0.9733
No log 35.3333 318 0.9602 0.3756 0.9602 0.9799
No log 35.5556 320 0.9882 0.3854 0.9882 0.9941
No log 35.7778 322 1.0122 0.3860 1.0122 1.0061
No log 36.0 324 1.0493 0.3390 1.0493 1.0244
No log 36.2222 326 1.0546 0.3830 1.0546 1.0269
No log 36.4444 328 1.0530 0.4166 1.0530 1.0262
No log 36.6667 330 1.0218 0.4289 1.0218 1.0108
No log 36.8889 332 0.9642 0.4236 0.9642 0.9819
No log 37.1111 334 0.9246 0.4871 0.9246 0.9615
No log 37.3333 336 0.9092 0.4996 0.9092 0.9535
No log 37.5556 338 0.8935 0.4996 0.8935 0.9452
No log 37.7778 340 0.8846 0.5220 0.8846 0.9405
No log 38.0 342 0.9031 0.4435 0.9031 0.9503
No log 38.2222 344 0.9317 0.4390 0.9317 0.9653
No log 38.4444 346 0.9181 0.4470 0.9181 0.9582
No log 38.6667 348 0.9131 0.4563 0.9131 0.9556
No log 38.8889 350 0.8705 0.4412 0.8705 0.9330
No log 39.1111 352 0.8828 0.4615 0.8828 0.9396
No log 39.3333 354 0.9004 0.4372 0.9004 0.9489
No log 39.5556 356 0.8847 0.4490 0.8847 0.9406
No log 39.7778 358 0.8564 0.4840 0.8564 0.9254
No log 40.0 360 0.8512 0.5562 0.8512 0.9226
No log 40.2222 362 0.8679 0.5756 0.8679 0.9316
No log 40.4444 364 0.8708 0.5220 0.8708 0.9332
No log 40.6667 366 0.8883 0.5094 0.8883 0.9425
No log 40.8889 368 0.8745 0.4812 0.8745 0.9351
No log 41.1111 370 0.8602 0.4601 0.8602 0.9275
No log 41.3333 372 0.8731 0.4527 0.8731 0.9344
No log 41.5556 374 0.8520 0.4726 0.8520 0.9230
No log 41.7778 376 0.8385 0.4318 0.8385 0.9157
No log 42.0 378 0.8642 0.3931 0.8642 0.9296
No log 42.2222 380 0.8963 0.3762 0.8963 0.9467
No log 42.4444 382 0.8780 0.3667 0.8780 0.9370
No log 42.6667 384 0.8511 0.4031 0.8511 0.9225
No log 42.8889 386 0.8346 0.3970 0.8346 0.9135
No log 43.1111 388 0.8272 0.5043 0.8272 0.9095
No log 43.3333 390 0.8326 0.5287 0.8326 0.9125
No log 43.5556 392 0.8658 0.4646 0.8658 0.9305
No log 43.7778 394 0.8809 0.4829 0.8809 0.9385
No log 44.0 396 0.8605 0.5152 0.8605 0.9277
No log 44.2222 398 0.8454 0.5895 0.8454 0.9195
No log 44.4444 400 0.8407 0.5735 0.8407 0.9169
No log 44.6667 402 0.8403 0.4996 0.8403 0.9167
No log 44.8889 404 0.8563 0.4293 0.8563 0.9254
No log 45.1111 406 0.9045 0.3908 0.9045 0.9510
No log 45.3333 408 0.9366 0.3918 0.9366 0.9678
No log 45.5556 410 0.9469 0.3918 0.9469 0.9731
No log 45.7778 412 0.9396 0.3918 0.9396 0.9693
No log 46.0 414 0.9205 0.3913 0.9205 0.9594
No log 46.2222 416 0.9123 0.4257 0.9123 0.9552
No log 46.4444 418 0.9131 0.4257 0.9131 0.9555
No log 46.6667 420 0.8921 0.4257 0.8921 0.9445
No log 46.8889 422 0.8797 0.3866 0.8797 0.9379
No log 47.1111 424 0.8440 0.4889 0.8440 0.9187
No log 47.3333 426 0.8312 0.5596 0.8312 0.9117
No log 47.5556 428 0.8292 0.5359 0.8292 0.9106
No log 47.7778 430 0.8283 0.4907 0.8283 0.9101
No log 48.0 432 0.8224 0.5259 0.8224 0.9069
No log 48.2222 434 0.8131 0.4757 0.8131 0.9017
No log 48.4444 436 0.8112 0.4768 0.8112 0.9007
No log 48.6667 438 0.8187 0.4628 0.8187 0.9048
No log 48.8889 440 0.8380 0.5259 0.8380 0.9154
No log 49.1111 442 0.8658 0.4889 0.8658 0.9305
No log 49.3333 444 0.8979 0.3954 0.8979 0.9476
No log 49.5556 446 0.9236 0.4167 0.9236 0.9610
No log 49.7778 448 0.9064 0.4078 0.9064 0.9520
No log 50.0 450 0.8743 0.4690 0.8743 0.9350
No log 50.2222 452 0.8569 0.4724 0.8569 0.9257
No log 50.4444 454 0.8561 0.4505 0.8561 0.9253
No log 50.6667 456 0.8680 0.4820 0.8680 0.9317
No log 50.8889 458 0.8854 0.4690 0.8854 0.9410
No log 51.1111 460 0.9136 0.4034 0.9136 0.9558
No log 51.3333 462 0.9078 0.4295 0.9078 0.9528
No log 51.5556 464 0.8764 0.4295 0.8764 0.9362
No log 51.7778 466 0.8573 0.4595 0.8573 0.9259
No log 52.0 468 0.8533 0.4377 0.8533 0.9238
No log 52.2222 470 0.8567 0.4377 0.8567 0.9256
No log 52.4444 472 0.8580 0.4377 0.8580 0.9263
No log 52.6667 474 0.8638 0.4241 0.8638 0.9294
No log 52.8889 476 0.8784 0.3602 0.8784 0.9372
No log 53.1111 478 0.8743 0.3506 0.8743 0.9350
No log 53.3333 480 0.8680 0.4240 0.8680 0.9317
No log 53.5556 482 0.8558 0.4240 0.8558 0.9251
No log 53.7778 484 0.8419 0.4646 0.8419 0.9175
No log 54.0 486 0.8339 0.5027 0.8339 0.9132
No log 54.2222 488 0.8246 0.4884 0.8246 0.9081
No log 54.4444 490 0.8277 0.4373 0.8277 0.9098
No log 54.6667 492 0.8480 0.5201 0.8480 0.9209
No log 54.8889 494 0.8600 0.5201 0.8600 0.9273
No log 55.1111 496 0.8660 0.5374 0.8660 0.9306
No log 55.3333 498 0.8761 0.5014 0.8761 0.9360
0.2541 55.5556 500 0.8824 0.5014 0.8824 0.9394
0.2541 55.7778 502 0.8809 0.5014 0.8809 0.9386
0.2541 56.0 504 0.8721 0.4840 0.8721 0.9339
0.2541 56.2222 506 0.8711 0.4202 0.8711 0.9333
0.2541 56.4444 508 0.8525 0.4470 0.8525 0.9233
0.2541 56.6667 510 0.8463 0.4242 0.8463 0.9199

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/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k2_task2_organization

Finetuned
(4019)
this model