ArabicNewSplits5_FineTuningAraBERT_run3_AugV5_k9_task3_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: 0.5012
  • Qwk: 0.4350
  • Mse: 0.5012
  • Rmse: 0.7080

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 0.0370 2 3.2931 0.0026 3.2931 1.8147
No log 0.0741 4 1.7810 0.0168 1.7810 1.3345
No log 0.1111 6 1.2294 0.0 1.2294 1.1088
No log 0.1481 8 1.2086 0.0 1.2086 1.0993
No log 0.1852 10 1.2579 0.0 1.2579 1.1216
No log 0.2222 12 1.7949 0.0255 1.7949 1.3397
No log 0.2593 14 1.7416 0.0 1.7416 1.3197
No log 0.2963 16 1.5126 0.0 1.5126 1.2299
No log 0.3333 18 1.2193 0.0 1.2193 1.1042
No log 0.3704 20 1.2009 0.0 1.2009 1.0958
No log 0.4074 22 1.0378 0.0 1.0378 1.0187
No log 0.4444 24 1.0165 0.0038 1.0165 1.0082
No log 0.4815 26 1.1053 -0.0159 1.1053 1.0513
No log 0.5185 28 0.9916 0.0947 0.9916 0.9958
No log 0.5556 30 0.8094 0.3831 0.8094 0.8996
No log 0.5926 32 0.7136 0.3939 0.7136 0.8447
No log 0.6296 34 0.8758 0.1392 0.8758 0.9359
No log 0.6667 36 1.0693 0.0 1.0693 1.0340
No log 0.7037 38 1.1541 0.0 1.1541 1.0743
No log 0.7407 40 1.0248 0.0 1.0248 1.0123
No log 0.7778 42 0.9429 0.0345 0.9429 0.9710
No log 0.8148 44 0.7830 0.2333 0.7830 0.8849
No log 0.8519 46 0.7473 0.2281 0.7473 0.8644
No log 0.8889 48 0.8663 0.1276 0.8663 0.9308
No log 0.9259 50 0.8885 0.1333 0.8885 0.9426
No log 0.9630 52 1.2606 0.0632 1.2606 1.1228
No log 1.0 54 1.3286 0.0614 1.3286 1.1526
No log 1.0370 56 0.9895 0.1235 0.9895 0.9947
No log 1.0741 58 0.7747 0.2775 0.7747 0.8802
No log 1.1111 60 0.8471 0.2696 0.8471 0.9204
No log 1.1481 62 0.6192 0.3208 0.6192 0.7869
No log 1.1852 64 0.8220 0.3220 0.8220 0.9067
No log 1.2222 66 1.4131 0.1351 1.4131 1.1887
No log 1.2593 68 1.5084 0.0567 1.5084 1.2282
No log 1.2963 70 1.2552 0.0949 1.2552 1.1203
No log 1.3333 72 1.0078 0.2191 1.0078 1.0039
No log 1.3704 74 0.8760 0.2137 0.8760 0.9359
No log 1.4074 76 0.6232 0.3118 0.6232 0.7894
No log 1.4444 78 0.6311 0.2593 0.6311 0.7944
No log 1.4815 80 0.8801 0.1392 0.8801 0.9381
No log 1.5185 82 0.8118 0.2208 0.8118 0.9010
No log 1.5556 84 0.5155 0.1206 0.5155 0.7180
No log 1.5926 86 0.5261 -0.0081 0.5261 0.7253
No log 1.6296 88 0.5450 0.2000 0.5450 0.7383
No log 1.6667 90 0.8253 0.1416 0.8253 0.9085
No log 1.7037 92 0.9311 0.2000 0.9311 0.9649
No log 1.7407 94 1.0692 0.1181 1.0692 1.0340
No log 1.7778 96 0.7204 0.2239 0.7204 0.8488
No log 1.8148 98 0.5431 0.1895 0.5431 0.7370
No log 1.8519 100 0.5669 0.3103 0.5669 0.7529
No log 1.8889 102 0.9492 0.1347 0.9492 0.9743
No log 1.9259 104 0.9479 0.1290 0.9479 0.9736
No log 1.9630 106 0.5643 0.3103 0.5643 0.7512
No log 2.0 108 0.4484 0.3826 0.4484 0.6696
No log 2.0370 110 0.4899 0.3939 0.4899 0.7000
No log 2.0741 112 0.4898 0.4350 0.4898 0.6999
No log 2.1111 114 0.6354 0.2762 0.6354 0.7971
No log 2.1481 116 0.6102 0.2746 0.6102 0.7812
No log 2.1852 118 0.5762 0.1628 0.5762 0.7591
No log 2.2222 120 0.5529 0.2109 0.5529 0.7436
No log 2.2593 122 0.5151 0.4620 0.5151 0.7177
No log 2.2963 124 0.8937 0.1803 0.8937 0.9453
No log 2.3333 126 1.2535 0.1399 1.2535 1.1196
No log 2.3704 128 0.7751 0.1691 0.7751 0.8804
No log 2.4074 130 0.5185 0.4483 0.5185 0.7201
No log 2.4444 132 0.8170 0.1644 0.8170 0.9039
No log 2.4815 134 0.7728 0.2287 0.7728 0.8791
No log 2.5185 136 0.5167 0.4157 0.5167 0.7188
No log 2.5556 138 0.8932 0.2065 0.8932 0.9451
No log 2.5926 140 0.9523 0.2121 0.9523 0.9759
No log 2.6296 142 0.5763 0.3398 0.5763 0.7592
No log 2.6667 144 0.5403 0.5025 0.5403 0.7350
No log 2.7037 146 0.7852 0.2829 0.7852 0.8861
No log 2.7407 148 0.6384 0.3559 0.6384 0.7990
No log 2.7778 150 0.4647 0.4455 0.4647 0.6817
No log 2.8148 152 0.5190 0.48 0.5190 0.7204
No log 2.8519 154 0.6585 0.3939 0.6585 0.8115
No log 2.8889 156 0.5063 0.4526 0.5063 0.7115
No log 2.9259 158 0.4326 0.4743 0.4326 0.6577
No log 2.9630 160 0.4730 0.52 0.4730 0.6877
No log 3.0 162 0.4395 0.4762 0.4395 0.6629
No log 3.0370 164 0.4178 0.4350 0.4178 0.6464
No log 3.0741 166 0.6388 0.3585 0.6388 0.7993
No log 3.1111 168 1.0100 0.2727 1.0100 1.0050
No log 3.1481 170 0.8639 0.2409 0.8639 0.9295
No log 3.1852 172 0.5100 0.4400 0.5100 0.7141
No log 3.2222 174 0.4581 0.4526 0.4581 0.6768
No log 3.2593 176 0.4872 0.5183 0.4872 0.6980
No log 3.2963 178 0.4853 0.4652 0.4853 0.6966
No log 3.3333 180 0.4788 0.4652 0.4788 0.6920
No log 3.3704 182 0.5403 0.4171 0.5403 0.7351
No log 3.4074 184 0.5566 0.4171 0.5566 0.7460
No log 3.4444 186 0.5051 0.3684 0.5051 0.7107
No log 3.4815 188 0.5089 0.4051 0.5089 0.7133
No log 3.5185 190 0.6481 0.3831 0.6481 0.8050
No log 3.5556 192 0.7214 0.3607 0.7214 0.8493
No log 3.5926 194 0.5818 0.3231 0.5818 0.7628
No log 3.6296 196 0.5181 0.4475 0.5181 0.7198
No log 3.6667 198 0.5226 0.4043 0.5226 0.7229
No log 3.7037 200 0.5334 0.4043 0.5334 0.7304
No log 3.7407 202 0.5225 0.4091 0.5225 0.7229
No log 3.7778 204 0.6007 0.3149 0.6007 0.7750
No log 3.8148 206 0.7047 0.2762 0.7047 0.8395
No log 3.8519 208 0.5933 0.3043 0.5933 0.7702
No log 3.8889 210 0.5572 0.3846 0.5572 0.7464
No log 3.9259 212 0.5761 0.3191 0.5761 0.7590
No log 3.9630 214 0.6300 0.2821 0.6300 0.7937
No log 4.0 216 0.7006 0.3171 0.7006 0.8370
No log 4.0370 218 0.6121 0.3061 0.6121 0.7824
No log 4.0741 220 0.5362 0.3797 0.5362 0.7322
No log 4.1111 222 0.5543 0.4343 0.5543 0.7445
No log 4.1481 224 0.4996 0.2663 0.4996 0.7069
No log 4.1852 226 0.6540 0.3769 0.6540 0.8087
No log 4.2222 228 0.6647 0.3663 0.6647 0.8153
No log 4.2593 230 0.5296 0.3369 0.5296 0.7277
No log 4.2963 232 0.5155 0.3878 0.5155 0.7180
No log 4.3333 234 0.4979 0.3831 0.4979 0.7056
No log 4.3704 236 0.5154 0.3905 0.5154 0.7179
No log 4.4074 238 0.5304 0.4233 0.5304 0.7283
No log 4.4444 240 0.5091 0.4051 0.5091 0.7135
No log 4.4815 242 0.6698 0.4439 0.6698 0.8184
No log 4.5185 244 0.6408 0.4439 0.6408 0.8005
No log 4.5556 246 0.4808 0.4286 0.4808 0.6934
No log 4.5926 248 0.5789 0.4812 0.5789 0.7608
No log 4.6296 250 0.5656 0.5229 0.5656 0.7521
No log 4.6667 252 0.4467 0.5862 0.4467 0.6683
No log 4.7037 254 0.4781 0.3862 0.4781 0.6915
No log 4.7407 256 0.6049 0.4185 0.6049 0.7778
No log 4.7778 258 0.6305 0.4234 0.6305 0.7940
No log 4.8148 260 0.5191 0.4462 0.5191 0.7205
No log 4.8519 262 0.4493 0.3548 0.4493 0.6703
No log 4.8889 264 0.4581 0.3548 0.4581 0.6769
No log 4.9259 266 0.4632 0.3548 0.4632 0.6806
No log 4.9630 268 0.4987 0.3862 0.4987 0.7062
No log 5.0 270 0.6452 0.3514 0.6452 0.8032
No log 5.0370 272 0.8247 0.3811 0.8247 0.9082
No log 5.0741 274 0.6794 0.3455 0.6794 0.8242
No log 5.1111 276 0.4818 0.4098 0.4818 0.6941
No log 5.1481 278 0.4666 0.4627 0.4666 0.6831
No log 5.1852 280 0.5385 0.4444 0.5385 0.7338
No log 5.2222 282 0.5119 0.5349 0.5119 0.7155
No log 5.2593 284 0.4803 0.4573 0.4803 0.6931
No log 5.2963 286 0.5760 0.375 0.5760 0.7589
No log 5.3333 288 0.7009 0.4239 0.7009 0.8372
No log 5.3704 290 0.6427 0.4118 0.6427 0.8017
No log 5.4074 292 0.5131 0.4286 0.5131 0.7163
No log 5.4444 294 0.5584 0.3585 0.5584 0.7473
No log 5.4815 296 0.5605 0.3623 0.5605 0.7487
No log 5.5185 298 0.5423 0.3295 0.5423 0.7364
No log 5.5556 300 0.6810 0.2475 0.6810 0.8252
No log 5.5926 302 0.7067 0.2963 0.7067 0.8407
No log 5.6296 304 0.6015 0.3333 0.6015 0.7755
No log 5.6667 306 0.5592 0.4162 0.5592 0.7478
No log 5.7037 308 0.5177 0.3708 0.5177 0.7195
No log 5.7407 310 0.5064 0.3778 0.5064 0.7116
No log 5.7778 312 0.4943 0.4475 0.4943 0.7031
No log 5.8148 314 0.5605 0.375 0.5605 0.7487
No log 5.8519 316 0.6947 0.3305 0.6947 0.8335
No log 5.8889 318 0.7181 0.3305 0.7181 0.8474
No log 5.9259 320 0.5647 0.3263 0.5647 0.7515
No log 5.9630 322 0.4795 0.4894 0.4795 0.6925
No log 6.0 324 0.5360 0.4343 0.5360 0.7321
No log 6.0370 326 0.5416 0.4462 0.5416 0.7359
No log 6.0741 328 0.4908 0.4536 0.4908 0.7006
No log 6.1111 330 0.5188 0.4222 0.5188 0.7203
No log 6.1481 332 0.6384 0.3561 0.6384 0.7990
No log 6.1852 334 0.6213 0.3561 0.6213 0.7882
No log 6.2222 336 0.5161 0.3708 0.5161 0.7184
No log 6.2593 338 0.4748 0.4607 0.4748 0.6890
No log 6.2963 340 0.4769 0.4607 0.4769 0.6906
No log 6.3333 342 0.4758 0.3810 0.4758 0.6898
No log 6.3704 344 0.4895 0.3609 0.4895 0.6996
No log 6.4074 346 0.5155 0.3953 0.5155 0.7180
No log 6.4444 348 0.5807 0.3369 0.5807 0.7620
No log 6.4815 350 0.5735 0.3591 0.5735 0.7573
No log 6.5185 352 0.5873 0.3591 0.5873 0.7664
No log 6.5556 354 0.5396 0.3591 0.5396 0.7346
No log 6.5926 356 0.4912 0.4483 0.4912 0.7009
No log 6.6296 358 0.4849 0.4483 0.4849 0.6963
No log 6.6667 360 0.5130 0.4222 0.5130 0.7163
No log 6.7037 362 0.5145 0.4222 0.5145 0.7173
No log 6.7407 364 0.5229 0.3829 0.5229 0.7231
No log 6.7778 366 0.4984 0.4350 0.4984 0.7060
No log 6.8148 368 0.4873 0.4725 0.4873 0.6980
No log 6.8519 370 0.4890 0.4725 0.4890 0.6993
No log 6.8889 372 0.5092 0.4162 0.5092 0.7136
No log 6.9259 374 0.5902 0.3641 0.5902 0.7682
No log 6.9630 376 0.7379 0.3115 0.7379 0.8590
No log 7.0 378 0.7628 0.3651 0.7628 0.8734
No log 7.0370 380 0.6646 0.3208 0.6646 0.8152
No log 7.0741 382 0.5514 0.3990 0.5514 0.7426
No log 7.1111 384 0.5838 0.4171 0.5838 0.7641
No log 7.1481 386 0.6837 0.2275 0.6837 0.8269
No log 7.1852 388 0.6857 0.2632 0.6857 0.8281
No log 7.2222 390 0.6118 0.4118 0.6118 0.7822
No log 7.2593 392 0.5476 0.3730 0.5476 0.7400
No log 7.2963 394 0.5605 0.3617 0.5605 0.7487
No log 7.3333 396 0.5733 0.3402 0.5733 0.7572
No log 7.3704 398 0.5410 0.3617 0.5410 0.7355
No log 7.4074 400 0.5140 0.4400 0.5140 0.7169
No log 7.4444 402 0.5094 0.4694 0.5094 0.7137
No log 7.4815 404 0.5026 0.4975 0.5026 0.7090
No log 7.5185 406 0.5000 0.4105 0.5000 0.7071
No log 7.5556 408 0.5042 0.3730 0.5042 0.7101
No log 7.5926 410 0.4985 0.3730 0.4985 0.7061
No log 7.6296 412 0.4918 0.3730 0.4918 0.7013
No log 7.6667 414 0.4848 0.4348 0.4848 0.6963
No log 7.7037 416 0.4861 0.4725 0.4861 0.6972
No log 7.7407 418 0.4822 0.4023 0.4822 0.6944
No log 7.7778 420 0.4896 0.3778 0.4896 0.6997
No log 7.8148 422 0.5182 0.3258 0.5182 0.7199
No log 7.8519 424 0.5330 0.3149 0.5330 0.7301
No log 7.8889 426 0.5227 0.3149 0.5227 0.7230
No log 7.9259 428 0.5083 0.3661 0.5083 0.7130
No log 7.9630 430 0.4826 0.3778 0.4826 0.6947
No log 8.0 432 0.4753 0.3778 0.4753 0.6894
No log 8.0370 434 0.4714 0.4413 0.4714 0.6866
No log 8.0741 436 0.4728 0.4545 0.4728 0.6876
No log 8.1111 438 0.4759 0.4413 0.4759 0.6898
No log 8.1481 440 0.4862 0.4350 0.4862 0.6972
No log 8.1852 442 0.4915 0.4350 0.4915 0.7011
No log 8.2222 444 0.5148 0.3661 0.5148 0.7175
No log 8.2593 446 0.5325 0.3661 0.5325 0.7297
No log 8.2963 448 0.5498 0.3548 0.5498 0.7415
No log 8.3333 450 0.5302 0.3661 0.5302 0.7282
No log 8.3704 452 0.5032 0.4222 0.5032 0.7094
No log 8.4074 454 0.5010 0.4350 0.5010 0.7078
No log 8.4444 456 0.4962 0.4350 0.4962 0.7044
No log 8.4815 458 0.5026 0.3953 0.5026 0.7090
No log 8.5185 460 0.5063 0.3953 0.5063 0.7116
No log 8.5556 462 0.5133 0.3371 0.5133 0.7164
No log 8.5926 464 0.5143 0.3371 0.5143 0.7172
No log 8.6296 466 0.5043 0.3953 0.5043 0.7101
No log 8.6667 468 0.4913 0.3953 0.4913 0.7009
No log 8.7037 470 0.4765 0.3609 0.4765 0.6903
No log 8.7407 472 0.4701 0.3609 0.4701 0.6856
No log 8.7778 474 0.4714 0.3609 0.4714 0.6866
No log 8.8148 476 0.4748 0.3609 0.4748 0.6890
No log 8.8519 478 0.4786 0.3609 0.4786 0.6918
No log 8.8889 480 0.4892 0.3953 0.4892 0.6994
No log 8.9259 482 0.4982 0.3953 0.4982 0.7058
No log 8.9630 484 0.5124 0.3953 0.5124 0.7158
No log 9.0 486 0.5246 0.3258 0.5246 0.7243
No log 9.0370 488 0.5172 0.3953 0.5172 0.7192
No log 9.0741 490 0.4997 0.3953 0.4997 0.7069
No log 9.1111 492 0.4908 0.4350 0.4908 0.7006
No log 9.1481 494 0.4881 0.4350 0.4881 0.6986
No log 9.1852 496 0.4896 0.4350 0.4896 0.6997
No log 9.2222 498 0.4963 0.4350 0.4963 0.7045
0.3994 9.2593 500 0.5061 0.4350 0.5061 0.7114
0.3994 9.2963 502 0.5238 0.3258 0.5238 0.7238
0.3994 9.3333 504 0.5457 0.3149 0.5457 0.7387
0.3994 9.3704 506 0.5655 0.3043 0.5655 0.7520
0.3994 9.4074 508 0.5733 0.3043 0.5733 0.7572
0.3994 9.4444 510 0.5744 0.3043 0.5744 0.7579
0.3994 9.4815 512 0.5831 0.3684 0.5831 0.7636
0.3994 9.5185 514 0.5802 0.3797 0.5802 0.7617
0.3994 9.5556 516 0.5704 0.3043 0.5704 0.7552
0.3994 9.5926 518 0.5520 0.3149 0.5520 0.7429
0.3994 9.6296 520 0.5362 0.3258 0.5362 0.7323
0.3994 9.6667 522 0.5215 0.3258 0.5215 0.7221
0.3994 9.7037 524 0.5127 0.4350 0.5127 0.7160
0.3994 9.7407 526 0.5075 0.4350 0.5075 0.7124
0.3994 9.7778 528 0.5042 0.4350 0.5042 0.7100
0.3994 9.8148 530 0.5031 0.4350 0.5031 0.7093
0.3994 9.8519 532 0.5025 0.4350 0.5025 0.7089
0.3994 9.8889 534 0.5010 0.4350 0.5010 0.7078
0.3994 9.9259 536 0.5013 0.4350 0.5013 0.7080
0.3994 9.9630 538 0.5013 0.4350 0.5013 0.7080
0.3994 10.0 540 0.5012 0.4350 0.5012 0.7080

Framework versions

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