ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k10_task1_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: 0.9463
  • Qwk: 0.6423
  • Mse: 0.9463
  • Rmse: 0.9728

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 0.0426 2 6.8944 -0.0169 6.8944 2.6257
No log 0.0851 4 3.8887 0.0571 3.8887 1.9720
No log 0.1277 6 2.4780 0.1146 2.4780 1.5742
No log 0.1702 8 1.8315 0.1754 1.8315 1.3533
No log 0.2128 10 1.7146 0.1905 1.7146 1.3094
No log 0.2553 12 1.7617 0.1905 1.7617 1.3273
No log 0.2979 14 2.0241 0.1754 2.0241 1.4227
No log 0.3404 16 2.0670 0.1951 2.0670 1.4377
No log 0.3830 18 2.0819 0.2137 2.0819 1.4429
No log 0.4255 20 2.0155 0.2381 2.0155 1.4197
No log 0.4681 22 1.9095 0.3051 1.9095 1.3818
No log 0.5106 24 1.8580 0.2807 1.8580 1.3631
No log 0.5532 26 1.7563 0.2056 1.7563 1.3252
No log 0.5957 28 1.5677 0.1165 1.5677 1.2521
No log 0.6383 30 1.4202 0.2593 1.4202 1.1917
No log 0.6809 32 1.4374 0.3063 1.4374 1.1989
No log 0.7234 34 1.4611 0.2679 1.4611 1.2087
No log 0.7660 36 1.8992 0.2836 1.8992 1.3781
No log 0.8085 38 1.9674 0.2319 1.9674 1.4026
No log 0.8511 40 1.4549 0.3559 1.4549 1.2062
No log 0.8936 42 1.2801 0.3932 1.2801 1.1314
No log 0.9362 44 1.2449 0.3932 1.2449 1.1157
No log 0.9787 46 1.2277 0.3761 1.2277 1.1080
No log 1.0213 48 1.4493 0.4531 1.4493 1.2039
No log 1.0638 50 1.4998 0.4462 1.4998 1.2247
No log 1.1064 52 1.2346 0.3967 1.2346 1.1111
No log 1.1489 54 1.1690 0.3063 1.1690 1.0812
No log 1.1915 56 1.2176 0.2430 1.2176 1.1035
No log 1.2340 58 1.3803 0.1887 1.3803 1.1749
No log 1.2766 60 1.4227 0.2222 1.4227 1.1928
No log 1.3191 62 1.1863 0.2957 1.1863 1.0892
No log 1.3617 64 1.0028 0.5079 1.0028 1.0014
No log 1.4043 66 0.9687 0.5630 0.9687 0.9842
No log 1.4468 68 1.0830 0.4640 1.0830 1.0407
No log 1.4894 70 1.4500 0.4035 1.4500 1.2042
No log 1.5319 72 1.5075 0.4065 1.5075 1.2278
No log 1.5745 74 1.2700 0.5970 1.2700 1.1269
No log 1.6170 76 1.0486 0.6522 1.0486 1.0240
No log 1.6596 78 0.8839 0.6944 0.8839 0.9401
No log 1.7021 80 0.9916 0.6483 0.9916 0.9958
No log 1.7447 82 0.9336 0.6712 0.9336 0.9662
No log 1.7872 84 0.9605 0.6383 0.9605 0.9801
No log 1.8298 86 1.3849 0.4857 1.3849 1.1768
No log 1.8723 88 1.4608 0.4317 1.4608 1.2087
No log 1.9149 90 1.3535 0.5 1.3535 1.1634
No log 1.9574 92 1.1132 0.5802 1.1132 1.0551
No log 2.0 94 0.9092 0.6222 0.9092 0.9535
No log 2.0426 96 0.8818 0.6418 0.8818 0.9390
No log 2.0851 98 0.9453 0.6015 0.9453 0.9723
No log 2.1277 100 1.2634 0.5 1.2634 1.1240
No log 2.1702 102 1.3973 0.4507 1.3973 1.1821
No log 2.2128 104 1.5098 0.4306 1.5098 1.2287
No log 2.2553 106 1.6026 0.3586 1.6026 1.2659
No log 2.2979 108 1.4548 0.4255 1.4548 1.2062
No log 2.3404 110 1.2397 0.5571 1.2397 1.1134
No log 2.3830 112 1.2531 0.5401 1.2531 1.1194
No log 2.4255 114 1.2921 0.5441 1.2921 1.1367
No log 2.4681 116 1.3070 0.5606 1.3070 1.1432
No log 2.5106 118 1.1154 0.5736 1.1154 1.0561
No log 2.5532 120 0.9289 0.5806 0.9289 0.9638
No log 2.5957 122 0.8536 0.6716 0.8536 0.9239
No log 2.6383 124 0.7875 0.7234 0.7875 0.8874
No log 2.6809 126 0.7671 0.6620 0.7671 0.8758
No log 2.7234 128 1.0194 0.5865 1.0194 1.0097
No log 2.7660 130 1.3404 0.4113 1.3404 1.1578
No log 2.8085 132 1.2924 0.4366 1.2924 1.1368
No log 2.8511 134 1.1457 0.5630 1.1457 1.0704
No log 2.8936 136 1.1021 0.5672 1.1021 1.0498
No log 2.9362 138 1.0498 0.5672 1.0498 1.0246
No log 2.9787 140 1.1310 0.5588 1.1310 1.0635
No log 3.0213 142 1.1998 0.5294 1.1998 1.0954
No log 3.0638 144 1.2836 0.4928 1.2836 1.1329
No log 3.1064 146 1.4836 0.4255 1.4836 1.2180
No log 3.1489 148 1.4921 0.4255 1.4921 1.2215
No log 3.1915 150 1.2162 0.5672 1.2162 1.1028
No log 3.2340 152 1.1424 0.5672 1.1424 1.0688
No log 3.2766 154 1.0570 0.5606 1.0570 1.0281
No log 3.3191 156 1.0415 0.5469 1.0415 1.0205
No log 3.3617 158 0.9517 0.6316 0.9517 0.9755
No log 3.4043 160 0.8334 0.6377 0.8334 0.9129
No log 3.4468 162 0.7979 0.6621 0.7979 0.8933
No log 3.4894 164 1.0488 0.5882 1.0488 1.0241
No log 3.5319 166 1.3457 0.4604 1.3457 1.1600
No log 3.5745 168 1.2259 0.5481 1.2259 1.1072
No log 3.6170 170 0.9567 0.6197 0.9567 0.9781
No log 3.6596 172 0.7544 0.6755 0.7544 0.8685
No log 3.7021 174 0.7634 0.6980 0.7634 0.8737
No log 3.7447 176 0.8659 0.6277 0.8659 0.9305
No log 3.7872 178 1.0997 0.5606 1.0997 1.0487
No log 3.8298 180 1.1870 0.5606 1.1870 1.0895
No log 3.8723 182 1.1351 0.5606 1.1351 1.0654
No log 3.9149 184 0.9954 0.5985 0.9954 0.9977
No log 3.9574 186 0.9431 0.6187 0.9431 0.9711
No log 4.0 188 0.8398 0.6241 0.8398 0.9164
No log 4.0426 190 0.8679 0.6241 0.8679 0.9316
No log 4.0851 192 0.9786 0.6187 0.9786 0.9892
No log 4.1277 194 1.0609 0.5612 1.0609 1.0300
No log 4.1702 196 0.9298 0.6056 0.9298 0.9643
No log 4.2128 198 0.8053 0.6944 0.8053 0.8974
No log 4.2553 200 0.8005 0.6944 0.8005 0.8947
No log 4.2979 202 0.9158 0.6197 0.9158 0.9570
No log 4.3404 204 0.8015 0.6763 0.8015 0.8953
No log 4.3830 206 0.7647 0.7042 0.7647 0.8745
No log 4.4255 208 0.7856 0.7050 0.7856 0.8863
No log 4.4681 210 0.8093 0.6765 0.8093 0.8996
No log 4.5106 212 0.8084 0.6957 0.8084 0.8991
No log 4.5532 214 0.8924 0.6519 0.8924 0.9447
No log 4.5957 216 0.8334 0.6763 0.8334 0.9129
No log 4.6383 218 0.7167 0.7260 0.7167 0.8466
No log 4.6809 220 0.6847 0.7682 0.6847 0.8275
No log 4.7234 222 0.7397 0.6944 0.7397 0.8601
No log 4.7660 224 0.9362 0.6043 0.9362 0.9676
No log 4.8085 226 1.1693 0.5468 1.1693 1.0813
No log 4.8511 228 1.1678 0.5468 1.1678 1.0807
No log 4.8936 230 1.1204 0.5839 1.1204 1.0585
No log 4.9362 232 0.9331 0.6143 0.9331 0.9660
No log 4.9787 234 0.8416 0.6757 0.8416 0.9174
No log 5.0213 236 0.8266 0.6980 0.8266 0.9092
No log 5.0638 238 0.9170 0.6528 0.9170 0.9576
No log 5.1064 240 0.9888 0.6 0.9888 0.9944
No log 5.1489 242 0.8756 0.6536 0.8756 0.9357
No log 5.1915 244 0.6809 0.7368 0.6809 0.8252
No log 5.2340 246 0.6618 0.7260 0.6618 0.8135
No log 5.2766 248 0.6484 0.7075 0.6484 0.8053
No log 5.3191 250 0.6700 0.7333 0.6700 0.8185
No log 5.3617 252 0.7221 0.7383 0.7221 0.8498
No log 5.4043 254 0.7687 0.7383 0.7687 0.8768
No log 5.4468 256 0.7415 0.7383 0.7415 0.8611
No log 5.4894 258 0.6436 0.7692 0.6436 0.8022
No log 5.5319 260 0.6131 0.7771 0.6131 0.7830
No log 5.5745 262 0.6834 0.7516 0.6834 0.8267
No log 5.6170 264 0.8453 0.7375 0.8453 0.9194
No log 5.6596 266 1.1770 0.6026 1.1770 1.0849
No log 5.7021 268 1.3406 0.5166 1.3406 1.1578
No log 5.7447 270 1.2218 0.5522 1.2218 1.1054
No log 5.7872 272 0.9811 0.6571 0.9811 0.9905
No log 5.8298 274 0.8178 0.7034 0.8178 0.9043
No log 5.8723 276 0.8138 0.7114 0.8138 0.9021
No log 5.9149 278 0.7791 0.72 0.7791 0.8826
No log 5.9574 280 0.7396 0.7843 0.7396 0.8600
No log 6.0 282 0.8398 0.7034 0.8398 0.9164
No log 6.0426 284 1.1451 0.5612 1.1451 1.0701
No log 6.0851 286 1.3022 0.5235 1.3022 1.1411
No log 6.1277 288 1.1860 0.5987 1.1860 1.0891
No log 6.1702 290 0.9689 0.6538 0.9689 0.9843
No log 6.2128 292 0.8472 0.6621 0.8472 0.9204
No log 6.2553 294 0.7959 0.6573 0.7959 0.8921
No log 6.2979 296 0.7290 0.7568 0.7290 0.8538
No log 6.3404 298 0.7327 0.7483 0.7327 0.8560
No log 6.3830 300 0.7478 0.7273 0.7478 0.8648
No log 6.4255 302 0.7094 0.7273 0.7094 0.8422
No log 6.4681 304 0.6497 0.7755 0.6497 0.8061
No log 6.5106 306 0.6247 0.7651 0.6247 0.7904
No log 6.5532 308 0.6409 0.7403 0.6409 0.8006
No log 6.5957 310 0.5998 0.7516 0.5998 0.7744
No log 6.6383 312 0.5408 0.7975 0.5408 0.7354
No log 6.6809 314 0.5715 0.8025 0.5715 0.7560
No log 6.7234 316 0.6765 0.72 0.6765 0.8225
No log 6.7660 318 0.7767 0.6901 0.7767 0.8813
No log 6.8085 320 0.7329 0.6906 0.7329 0.8561
No log 6.8511 322 0.7082 0.7042 0.7082 0.8415
No log 6.8936 324 0.7283 0.7042 0.7283 0.8534
No log 6.9362 326 0.6625 0.7483 0.6625 0.8139
No log 6.9787 328 0.6029 0.76 0.6029 0.7764
No log 7.0213 330 0.5855 0.7564 0.5855 0.7652
No log 7.0638 332 0.5501 0.7758 0.5501 0.7417
No log 7.1064 334 0.6354 0.7308 0.6354 0.7971
No log 7.1489 336 0.7769 0.6939 0.7769 0.8814
No log 7.1915 338 0.7405 0.6939 0.7405 0.8605
No log 7.2340 340 0.7116 0.7027 0.7116 0.8436
No log 7.2766 342 0.6685 0.6939 0.6685 0.8176
No log 7.3191 344 0.7271 0.6897 0.7271 0.8527
No log 7.3617 346 0.8351 0.6277 0.8351 0.9139
No log 7.4043 348 0.9277 0.6143 0.9277 0.9632
No log 7.4468 350 0.9925 0.5942 0.9925 0.9963
No log 7.4894 352 1.0253 0.6015 1.0253 1.0126
No log 7.5319 354 0.9834 0.6370 0.9834 0.9917
No log 7.5745 356 0.9139 0.6571 0.9139 0.9560
No log 7.6170 358 0.9031 0.6897 0.9031 0.9503
No log 7.6596 360 0.8261 0.7123 0.8261 0.9089
No log 7.7021 362 0.8526 0.6800 0.8526 0.9233
No log 7.7447 364 0.8906 0.6711 0.8906 0.9437
No log 7.7872 366 0.8954 0.6575 0.8954 0.9462
No log 7.8298 368 0.9488 0.6286 0.9488 0.9741
No log 7.8723 370 0.9421 0.6316 0.9421 0.9706
No log 7.9149 372 0.9253 0.6131 0.9253 0.9619
No log 7.9574 374 0.8532 0.6434 0.8532 0.9237
No log 8.0 376 0.7708 0.7114 0.7708 0.8780
No log 8.0426 378 0.7225 0.7532 0.7225 0.8500
No log 8.0851 380 0.6414 0.75 0.6414 0.8009
No log 8.1277 382 0.6642 0.7582 0.6642 0.8150
No log 8.1702 384 0.7912 0.6667 0.7912 0.8895
No log 8.2128 386 0.8338 0.6761 0.8338 0.9131
No log 8.2553 388 0.8080 0.7172 0.8080 0.8989
No log 8.2979 390 0.7933 0.7211 0.7933 0.8907
No log 8.3404 392 0.8090 0.6939 0.8090 0.8995
No log 8.3830 394 0.9274 0.6800 0.9274 0.9630
No log 8.4255 396 0.9392 0.64 0.9392 0.9691
No log 8.4681 398 0.9382 0.6069 0.9382 0.9686
No log 8.5106 400 0.8847 0.6324 0.8847 0.9406
No log 8.5532 402 0.9644 0.6176 0.9644 0.9820
No log 8.5957 404 1.0821 0.5882 1.0821 1.0403
No log 8.6383 406 1.1504 0.5578 1.1504 1.0726
No log 8.6809 408 1.0441 0.5816 1.0441 1.0218
No log 8.7234 410 1.0351 0.5816 1.0351 1.0174
No log 8.7660 412 1.1376 0.5493 1.1376 1.0666
No log 8.8085 414 1.1298 0.5532 1.1298 1.0629
No log 8.8511 416 1.1312 0.5532 1.1312 1.0636
No log 8.8936 418 0.9871 0.6423 0.9871 0.9936
No log 8.9362 420 0.8486 0.6849 0.8486 0.9212
No log 8.9787 422 0.8020 0.6759 0.8020 0.8956
No log 9.0213 424 0.8220 0.6324 0.8220 0.9066
No log 9.0638 426 0.9087 0.6423 0.9087 0.9532
No log 9.1064 428 1.0355 0.5985 1.0355 1.0176
No log 9.1489 430 1.0430 0.6164 1.0430 1.0213
No log 9.1915 432 0.9412 0.6711 0.9412 0.9702
No log 9.2340 434 0.8364 0.6803 0.8364 0.9146
No log 9.2766 436 0.8024 0.6803 0.8024 0.8958
No log 9.3191 438 0.8528 0.6803 0.8528 0.9235
No log 9.3617 440 0.9374 0.6621 0.9374 0.9682
No log 9.4043 442 0.9411 0.6069 0.9411 0.9701
No log 9.4468 444 0.9137 0.6043 0.9137 0.9559
No log 9.4894 446 0.7946 0.6713 0.7946 0.8914
No log 9.5319 448 0.7333 0.7285 0.7333 0.8563
No log 9.5745 450 0.8270 0.7011 0.8270 0.9094
No log 9.6170 452 0.8243 0.75 0.8243 0.9079
No log 9.6596 454 0.7771 0.75 0.7771 0.8815
No log 9.7021 456 0.8373 0.7030 0.8373 0.9150
No log 9.7447 458 0.9117 0.6294 0.9117 0.9548
No log 9.7872 460 0.9241 0.6475 0.9241 0.9613
No log 9.8298 462 0.9043 0.6475 0.9043 0.9509
No log 9.8723 464 0.9271 0.6475 0.9271 0.9628
No log 9.9149 466 0.8695 0.6475 0.8695 0.9325
No log 9.9574 468 0.8186 0.6377 0.8186 0.9048
No log 10.0 470 0.7622 0.6763 0.7622 0.8731
No log 10.0426 472 0.7283 0.6809 0.7283 0.8534
No log 10.0851 474 0.6714 0.7347 0.6714 0.8194
No log 10.1277 476 0.6771 0.7347 0.6771 0.8229
No log 10.1702 478 0.6345 0.7682 0.6345 0.7965
No log 10.2128 480 0.6311 0.7785 0.6311 0.7944
No log 10.2553 482 0.6395 0.7815 0.6395 0.7997
No log 10.2979 484 0.6584 0.7733 0.6584 0.8114
No log 10.3404 486 0.6645 0.7682 0.6645 0.8151
No log 10.3830 488 0.6610 0.7682 0.6610 0.8130
No log 10.4255 490 0.6654 0.7671 0.6654 0.8157
No log 10.4681 492 0.6938 0.7413 0.6938 0.8329
No log 10.5106 494 0.7257 0.7101 0.7257 0.8519
No log 10.5532 496 0.7880 0.7050 0.7880 0.8877
No log 10.5957 498 0.8245 0.6857 0.8245 0.9080
0.4397 10.6383 500 0.8099 0.6993 0.8099 0.9000
0.4397 10.6809 502 0.8239 0.7013 0.8239 0.9077
0.4397 10.7234 504 0.7769 0.6933 0.7769 0.8814
0.4397 10.7660 506 0.7221 0.7183 0.7221 0.8498
0.4397 10.8085 508 0.7440 0.7015 0.7440 0.8626
0.4397 10.8511 510 0.8094 0.7101 0.8094 0.8997
0.4397 10.8936 512 0.8488 0.6667 0.8488 0.9213
0.4397 10.9362 514 0.8258 0.6769 0.8258 0.9087
0.4397 10.9787 516 0.8242 0.6357 0.8242 0.9079
0.4397 11.0213 518 0.7619 0.7111 0.7619 0.8729
0.4397 11.0638 520 0.7293 0.7518 0.7293 0.8540
0.4397 11.1064 522 0.8498 0.6713 0.8498 0.9219
0.4397 11.1489 524 1.0602 0.6027 1.0602 1.0297
0.4397 11.1915 526 1.2395 0.5493 1.2395 1.1133
0.4397 11.2340 528 1.1530 0.5674 1.1530 1.0738
0.4397 11.2766 530 0.9463 0.6423 0.9463 0.9728

Framework versions

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