ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k5_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: 0.5386
  • Qwk: 0.6337
  • Mse: 0.5386
  • Rmse: 0.7339

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 0.0714 2 4.2229 -0.0111 4.2229 2.0550
No log 0.1429 4 2.3099 0.0485 2.3099 1.5199
No log 0.2143 6 1.3402 0.1044 1.3402 1.1577
No log 0.2857 8 0.8728 0.1209 0.8728 0.9342
No log 0.3571 10 0.7155 0.2723 0.7155 0.8459
No log 0.4286 12 0.7602 0.2467 0.7602 0.8719
No log 0.5 14 0.7732 0.2673 0.7732 0.8793
No log 0.5714 16 0.7889 0.3461 0.7889 0.8882
No log 0.6429 18 0.7451 0.2490 0.7451 0.8632
No log 0.7143 20 0.6764 0.2379 0.6764 0.8224
No log 0.7857 22 1.2112 0.0602 1.2112 1.1006
No log 0.8571 24 2.1778 0.0815 2.1778 1.4757
No log 0.9286 26 2.2373 0.0725 2.2373 1.4958
No log 1.0 28 2.0287 0.1243 2.0287 1.4243
No log 1.0714 30 1.9513 0.1178 1.9513 1.3969
No log 1.1429 32 1.5288 0.1166 1.5288 1.2364
No log 1.2143 34 1.0441 0.0718 1.0441 1.0218
No log 1.2857 36 0.8310 0.2532 0.8310 0.9116
No log 1.3571 38 0.7131 0.3315 0.7131 0.8445
No log 1.4286 40 0.6887 0.1706 0.6887 0.8299
No log 1.5 42 0.6982 0.1633 0.6982 0.8356
No log 1.5714 44 0.6761 0.2010 0.6761 0.8222
No log 1.6429 46 0.6811 0.2855 0.6811 0.8253
No log 1.7143 48 0.6993 0.3683 0.6993 0.8362
No log 1.7857 50 0.8011 0.3056 0.8011 0.8951
No log 1.8571 52 0.9084 0.2111 0.9084 0.9531
No log 1.9286 54 1.1517 0.0946 1.1517 1.0732
No log 2.0 56 1.4800 0.1294 1.4800 1.2165
No log 2.0714 58 1.6194 0.0770 1.6194 1.2726
No log 2.1429 60 1.3218 0.1269 1.3218 1.1497
No log 2.2143 62 0.9282 0.2579 0.9282 0.9634
No log 2.2857 64 0.7696 0.2670 0.7696 0.8773
No log 2.3571 66 0.7216 0.3447 0.7216 0.8495
No log 2.4286 68 0.6756 0.4010 0.6756 0.8219
No log 2.5 70 0.6284 0.3985 0.6284 0.7927
No log 2.5714 72 0.6102 0.3866 0.6102 0.7811
No log 2.6429 74 0.5951 0.3620 0.5951 0.7714
No log 2.7143 76 0.6070 0.4684 0.6070 0.7791
No log 2.7857 78 0.6886 0.3578 0.6886 0.8298
No log 2.8571 80 0.7911 0.3571 0.7911 0.8895
No log 2.9286 82 0.8824 0.3028 0.8824 0.9394
No log 3.0 84 1.0433 0.3144 1.0433 1.0214
No log 3.0714 86 1.1247 0.2518 1.1247 1.0605
No log 3.1429 88 1.0985 0.3261 1.0985 1.0481
No log 3.2143 90 1.1067 0.3225 1.1067 1.0520
No log 3.2857 92 1.0200 0.3711 1.0200 1.0100
No log 3.3571 94 0.9557 0.3898 0.9557 0.9776
No log 3.4286 96 0.9415 0.3985 0.9415 0.9703
No log 3.5 98 0.9022 0.4538 0.9022 0.9499
No log 3.5714 100 0.9668 0.4094 0.9668 0.9832
No log 3.6429 102 1.0374 0.4119 1.0374 1.0185
No log 3.7143 104 0.8932 0.4461 0.8932 0.9451
No log 3.7857 106 0.8273 0.4446 0.8273 0.9096
No log 3.8571 108 0.6801 0.5129 0.6801 0.8247
No log 3.9286 110 0.6487 0.5636 0.6487 0.8054
No log 4.0 112 0.6353 0.5227 0.6353 0.7970
No log 4.0714 114 0.6289 0.5062 0.6289 0.7930
No log 4.1429 116 0.6401 0.4726 0.6401 0.8001
No log 4.2143 118 0.6134 0.4985 0.6134 0.7832
No log 4.2857 120 0.5965 0.5467 0.5965 0.7723
No log 4.3571 122 0.6215 0.5211 0.6215 0.7884
No log 4.4286 124 0.6938 0.4935 0.6938 0.8329
No log 4.5 126 0.7999 0.5163 0.7999 0.8944
No log 4.5714 128 0.7861 0.5306 0.7861 0.8866
No log 4.6429 130 0.7123 0.5098 0.7123 0.8440
No log 4.7143 132 0.6326 0.5443 0.6326 0.7954
No log 4.7857 134 0.6501 0.5724 0.6501 0.8063
No log 4.8571 136 0.6658 0.4704 0.6658 0.8159
No log 4.9286 138 0.6165 0.4158 0.6165 0.7852
No log 5.0 140 0.6108 0.4847 0.6108 0.7816
No log 5.0714 142 0.5957 0.4596 0.5957 0.7718
No log 5.1429 144 0.6589 0.5541 0.6589 0.8117
No log 5.2143 146 0.7255 0.5580 0.7255 0.8518
No log 5.2857 148 0.7419 0.5109 0.7419 0.8613
No log 5.3571 150 0.7418 0.5244 0.7418 0.8613
No log 5.4286 152 0.6960 0.5321 0.6960 0.8343
No log 5.5 154 0.6253 0.5662 0.6253 0.7907
No log 5.5714 156 0.5517 0.5994 0.5517 0.7428
No log 5.6429 158 0.5320 0.5942 0.5320 0.7294
No log 5.7143 160 0.5270 0.5850 0.5270 0.7259
No log 5.7857 162 0.5080 0.6215 0.5080 0.7127
No log 5.8571 164 0.5139 0.6112 0.5139 0.7169
No log 5.9286 166 0.5464 0.6005 0.5464 0.7392
No log 6.0 168 0.6428 0.5688 0.6428 0.8018
No log 6.0714 170 0.6739 0.5673 0.6739 0.8209
No log 6.1429 172 0.8640 0.4564 0.8640 0.9295
No log 6.2143 174 0.9368 0.4311 0.9368 0.9679
No log 6.2857 176 0.8808 0.4732 0.8808 0.9385
No log 6.3571 178 0.7184 0.5745 0.7184 0.8476
No log 6.4286 180 0.6163 0.5630 0.6163 0.7850
No log 6.5 182 0.5983 0.5984 0.5983 0.7735
No log 6.5714 184 0.5801 0.5244 0.5801 0.7617
No log 6.6429 186 0.5885 0.5214 0.5885 0.7671
No log 6.7143 188 0.6220 0.5082 0.6220 0.7887
No log 6.7857 190 0.6259 0.4887 0.6259 0.7911
No log 6.8571 192 0.6156 0.5330 0.6156 0.7846
No log 6.9286 194 0.5950 0.5814 0.5950 0.7714
No log 7.0 196 0.6011 0.6000 0.6011 0.7753
No log 7.0714 198 0.6049 0.5924 0.6049 0.7777
No log 7.1429 200 0.6004 0.6065 0.6004 0.7748
No log 7.2143 202 0.6049 0.5941 0.6049 0.7778
No log 7.2857 204 0.6348 0.5806 0.6348 0.7967
No log 7.3571 206 0.6549 0.5716 0.6549 0.8093
No log 7.4286 208 0.6773 0.5928 0.6773 0.8230
No log 7.5 210 0.6754 0.5819 0.6754 0.8218
No log 7.5714 212 0.6687 0.5981 0.6687 0.8177
No log 7.6429 214 0.6694 0.5796 0.6695 0.8182
No log 7.7143 216 0.6343 0.5811 0.6343 0.7964
No log 7.7857 218 0.5811 0.5866 0.5811 0.7623
No log 7.8571 220 0.5723 0.5901 0.5723 0.7565
No log 7.9286 222 0.6591 0.4912 0.6591 0.8118
No log 8.0 224 0.7210 0.5006 0.7210 0.8491
No log 8.0714 226 0.6835 0.4976 0.6835 0.8267
No log 8.1429 228 0.5968 0.5219 0.5968 0.7725
No log 8.2143 230 0.5445 0.5681 0.5445 0.7379
No log 8.2857 232 0.5580 0.5918 0.5580 0.7470
No log 8.3571 234 0.6171 0.5657 0.6171 0.7856
No log 8.4286 236 0.6795 0.5664 0.6795 0.8243
No log 8.5 238 0.7019 0.5893 0.7019 0.8378
No log 8.5714 240 0.6858 0.6166 0.6858 0.8281
No log 8.6429 242 0.6657 0.5826 0.6657 0.8159
No log 8.7143 244 0.6448 0.5855 0.6448 0.8030
No log 8.7857 246 0.6278 0.5627 0.6278 0.7923
No log 8.8571 248 0.5996 0.5870 0.5996 0.7743
No log 8.9286 250 0.5593 0.5783 0.5593 0.7479
No log 9.0 252 0.5448 0.5724 0.5448 0.7381
No log 9.0714 254 0.5496 0.5667 0.5496 0.7414
No log 9.1429 256 0.5347 0.5864 0.5347 0.7312
No log 9.2143 258 0.5351 0.6015 0.5351 0.7315
No log 9.2857 260 0.5489 0.5905 0.5489 0.7409
No log 9.3571 262 0.5361 0.5875 0.5361 0.7322
No log 9.4286 264 0.5260 0.5899 0.5260 0.7253
No log 9.5 266 0.5255 0.5962 0.5255 0.7249
No log 9.5714 268 0.5167 0.5937 0.5167 0.7188
No log 9.6429 270 0.5205 0.6019 0.5205 0.7215
No log 9.7143 272 0.5151 0.6019 0.5151 0.7177
No log 9.7857 274 0.5037 0.6289 0.5037 0.7097
No log 9.8571 276 0.5024 0.6137 0.5024 0.7088
No log 9.9286 278 0.5049 0.6235 0.5049 0.7106
No log 10.0 280 0.5138 0.6100 0.5138 0.7168
No log 10.0714 282 0.5263 0.6168 0.5263 0.7255
No log 10.1429 284 0.5343 0.6020 0.5343 0.7310
No log 10.2143 286 0.5490 0.5651 0.5490 0.7410
No log 10.2857 288 0.5938 0.5084 0.5938 0.7706
No log 10.3571 290 0.6117 0.5084 0.6117 0.7821
No log 10.4286 292 0.5926 0.5303 0.5926 0.7698
No log 10.5 294 0.5583 0.5931 0.5583 0.7472
No log 10.5714 296 0.5274 0.6158 0.5274 0.7262
No log 10.6429 298 0.5536 0.5859 0.5536 0.7441
No log 10.7143 300 0.5814 0.5576 0.5814 0.7625
No log 10.7857 302 0.6096 0.5406 0.6096 0.7807
No log 10.8571 304 0.6273 0.5462 0.6273 0.7920
No log 10.9286 306 0.6541 0.5694 0.6541 0.8087
No log 11.0 308 0.6373 0.5731 0.6373 0.7983
No log 11.0714 310 0.6377 0.5530 0.6377 0.7986
No log 11.1429 312 0.6690 0.5293 0.6690 0.8179
No log 11.2143 314 0.6456 0.5321 0.6456 0.8035
No log 11.2857 316 0.6030 0.5595 0.6030 0.7765
No log 11.3571 318 0.5755 0.5743 0.5755 0.7586
No log 11.4286 320 0.5382 0.6268 0.5382 0.7336
No log 11.5 322 0.5224 0.6370 0.5224 0.7228
No log 11.5714 324 0.5211 0.6024 0.5211 0.7219
No log 11.6429 326 0.5157 0.5796 0.5157 0.7181
No log 11.7143 328 0.5097 0.6281 0.5097 0.7140
No log 11.7857 330 0.5134 0.6529 0.5134 0.7165
No log 11.8571 332 0.5240 0.6059 0.5240 0.7239
No log 11.9286 334 0.5267 0.6322 0.5267 0.7258
No log 12.0 336 0.5686 0.6039 0.5686 0.7541
No log 12.0714 338 0.6362 0.5943 0.6362 0.7976
No log 12.1429 340 0.6724 0.5825 0.6724 0.8200
No log 12.2143 342 0.7089 0.5902 0.7089 0.8419
No log 12.2857 344 0.6826 0.5924 0.6826 0.8262
No log 12.3571 346 0.6546 0.5944 0.6546 0.8091
No log 12.4286 348 0.6636 0.5545 0.6636 0.8146
No log 12.5 350 0.6608 0.5462 0.6608 0.8129
No log 12.5714 352 0.6373 0.5730 0.6373 0.7983
No log 12.6429 354 0.6346 0.6182 0.6346 0.7966
No log 12.7143 356 0.6136 0.6332 0.6136 0.7833
No log 12.7857 358 0.5953 0.6469 0.5953 0.7715
No log 12.8571 360 0.5648 0.6177 0.5648 0.7515
No log 12.9286 362 0.5649 0.5729 0.5649 0.7516
No log 13.0 364 0.5553 0.6029 0.5553 0.7452
No log 13.0714 366 0.5892 0.5363 0.5892 0.7676
No log 13.1429 368 0.5850 0.5824 0.5850 0.7649
No log 13.2143 370 0.5564 0.6523 0.5564 0.7459
No log 13.2857 372 0.5815 0.5793 0.5815 0.7626
No log 13.3571 374 0.6368 0.5745 0.6368 0.7980
No log 13.4286 376 0.6307 0.5724 0.6307 0.7942
No log 13.5 378 0.5904 0.5906 0.5904 0.7683
No log 13.5714 380 0.5792 0.6545 0.5792 0.7610
No log 13.6429 382 0.5664 0.5814 0.5664 0.7526
No log 13.7143 384 0.5459 0.6171 0.5459 0.7389
No log 13.7857 386 0.5466 0.5422 0.5466 0.7394
No log 13.8571 388 0.5464 0.5763 0.5464 0.7392
No log 13.9286 390 0.5683 0.5344 0.5683 0.7539
No log 14.0 392 0.6000 0.5308 0.6000 0.7746
No log 14.0714 394 0.6245 0.5975 0.6245 0.7903
No log 14.1429 396 0.6519 0.6241 0.6519 0.8074
No log 14.2143 398 0.6265 0.6444 0.6265 0.7915
No log 14.2857 400 0.6046 0.6168 0.6046 0.7776
No log 14.3571 402 0.5780 0.5708 0.5780 0.7602
No log 14.4286 404 0.5605 0.6070 0.5605 0.7486
No log 14.5 406 0.5408 0.5988 0.5408 0.7354
No log 14.5714 408 0.5342 0.6122 0.5342 0.7309
No log 14.6429 410 0.5365 0.5877 0.5365 0.7325
No log 14.7143 412 0.5850 0.5645 0.5850 0.7648
No log 14.7857 414 0.6336 0.5445 0.6336 0.7960
No log 14.8571 416 0.5967 0.5619 0.5967 0.7725
No log 14.9286 418 0.5478 0.5642 0.5478 0.7401
No log 15.0 420 0.5487 0.5721 0.5487 0.7407
No log 15.0714 422 0.5335 0.6333 0.5335 0.7304
No log 15.1429 424 0.5340 0.6153 0.5340 0.7307
No log 15.2143 426 0.5473 0.6071 0.5473 0.7398
No log 15.2857 428 0.5613 0.5743 0.5613 0.7492
No log 15.3571 430 0.5425 0.5841 0.5425 0.7366
No log 15.4286 432 0.5221 0.6480 0.5221 0.7226
No log 15.5 434 0.5223 0.6480 0.5223 0.7227
No log 15.5714 436 0.5338 0.5978 0.5338 0.7306
No log 15.6429 438 0.5898 0.5506 0.5898 0.7680
No log 15.7143 440 0.5980 0.5528 0.5980 0.7733
No log 15.7857 442 0.5731 0.5567 0.5731 0.7571
No log 15.8571 444 0.5515 0.6184 0.5515 0.7426
No log 15.9286 446 0.5422 0.6485 0.5422 0.7364
No log 16.0 448 0.5540 0.6446 0.5540 0.7443
No log 16.0714 450 0.5611 0.6502 0.5611 0.7491
No log 16.1429 452 0.5581 0.6256 0.5581 0.7470
No log 16.2143 454 0.5454 0.6409 0.5454 0.7385
No log 16.2857 456 0.5215 0.6566 0.5215 0.7222
No log 16.3571 458 0.5026 0.6702 0.5026 0.7089
No log 16.4286 460 0.4996 0.6683 0.4996 0.7068
No log 16.5 462 0.5299 0.6173 0.5299 0.7279
No log 16.5714 464 0.5469 0.5779 0.5469 0.7395
No log 16.6429 466 0.5291 0.6025 0.5291 0.7274
No log 16.7143 468 0.5430 0.5841 0.5430 0.7369
No log 16.7857 470 0.5869 0.5512 0.5869 0.7661
No log 16.8571 472 0.6283 0.4937 0.6283 0.7927
No log 16.9286 474 0.5889 0.5352 0.5889 0.7674
No log 17.0 476 0.5175 0.6263 0.5175 0.7194
No log 17.0714 478 0.4924 0.5903 0.4924 0.7017
No log 17.1429 480 0.4923 0.6081 0.4923 0.7016
No log 17.2143 482 0.4913 0.6588 0.4913 0.7009
No log 17.2857 484 0.4922 0.6410 0.4922 0.7015
No log 17.3571 486 0.4983 0.6026 0.4983 0.7059
No log 17.4286 488 0.4957 0.6610 0.4957 0.7041
No log 17.5 490 0.5000 0.6500 0.5000 0.7071
No log 17.5714 492 0.5136 0.6026 0.5136 0.7167
No log 17.6429 494 0.5395 0.5998 0.5395 0.7345
No log 17.7143 496 0.5320 0.5961 0.5320 0.7294
No log 17.7857 498 0.5112 0.6356 0.5112 0.7150
0.419 17.8571 500 0.5194 0.6356 0.5194 0.7207
0.419 17.9286 502 0.5159 0.6197 0.5159 0.7183
0.419 18.0 504 0.5085 0.6149 0.5085 0.7131
0.419 18.0714 506 0.5162 0.6747 0.5162 0.7185
0.419 18.1429 508 0.5298 0.6494 0.5298 0.7279
0.419 18.2143 510 0.5366 0.6446 0.5366 0.7325
0.419 18.2857 512 0.5354 0.6602 0.5354 0.7317
0.419 18.3571 514 0.5362 0.6499 0.5362 0.7323
0.419 18.4286 516 0.5321 0.6328 0.5321 0.7294
0.419 18.5 518 0.5387 0.6211 0.5387 0.7340
0.419 18.5714 520 0.5352 0.6116 0.5352 0.7316
0.419 18.6429 522 0.5216 0.6674 0.5216 0.7222
0.419 18.7143 524 0.5212 0.6251 0.5212 0.7220
0.419 18.7857 526 0.5109 0.6364 0.5109 0.7148
0.419 18.8571 528 0.5048 0.6261 0.5048 0.7105
0.419 18.9286 530 0.5107 0.6526 0.5107 0.7147
0.419 19.0 532 0.5525 0.5858 0.5525 0.7433
0.419 19.0714 534 0.5798 0.5538 0.5798 0.7615
0.419 19.1429 536 0.5798 0.5382 0.5798 0.7614
0.419 19.2143 538 0.5612 0.5941 0.5612 0.7491
0.419 19.2857 540 0.5386 0.6337 0.5386 0.7339

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
3
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/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k5_task2_organization

Finetuned
(4040)
this model