ArabicNewSplits6_FineTuningAraBERT_run1_AugV5_k11_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: 0.8772
  • Qwk: 0.6168
  • Mse: 0.8772
  • Rmse: 0.9366

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 0.0364 2 5.3378 -0.0193 5.3378 2.3104
No log 0.0727 4 3.1438 0.0658 3.1438 1.7731
No log 0.1091 6 2.1845 -0.0026 2.1845 1.4780
No log 0.1455 8 1.8954 0.0264 1.8954 1.3767
No log 0.1818 10 1.5932 0.0320 1.5932 1.2622
No log 0.2182 12 1.6351 0.0341 1.6351 1.2787
No log 0.2545 14 1.2982 0.1700 1.2982 1.1394
No log 0.2909 16 1.1822 0.1445 1.1822 1.0873
No log 0.3273 18 1.2004 0.1681 1.2004 1.0956
No log 0.3636 20 1.1309 0.1740 1.1309 1.0634
No log 0.4 22 1.0880 0.3202 1.0880 1.0431
No log 0.4364 24 1.1461 0.3439 1.1461 1.0706
No log 0.4727 26 1.2337 0.2441 1.2337 1.1107
No log 0.5091 28 1.1821 0.3585 1.1821 1.0872
No log 0.5455 30 1.1893 0.3772 1.1893 1.0906
No log 0.5818 32 1.1561 0.3553 1.1561 1.0752
No log 0.6182 34 1.1913 0.3968 1.1913 1.0915
No log 0.6545 36 1.5611 0.3307 1.5611 1.2494
No log 0.6909 38 1.4818 0.3669 1.4818 1.2173
No log 0.7273 40 1.2579 0.4120 1.2579 1.1215
No log 0.7636 42 1.1256 0.3985 1.1256 1.0610
No log 0.8 44 1.0745 0.3442 1.0745 1.0366
No log 0.8364 46 1.1252 0.2734 1.1252 1.0607
No log 0.8727 48 1.1070 0.3666 1.1070 1.0522
No log 0.9091 50 1.0127 0.3547 1.0127 1.0063
No log 0.9455 52 1.0945 0.4003 1.0945 1.0462
No log 0.9818 54 1.2330 0.3607 1.2330 1.1104
No log 1.0182 56 1.5958 0.2245 1.5958 1.2632
No log 1.0545 58 1.6905 0.2437 1.6905 1.3002
No log 1.0909 60 1.7993 0.2399 1.7993 1.3414
No log 1.1273 62 1.4669 0.2754 1.4669 1.2111
No log 1.1636 64 1.0585 0.4306 1.0585 1.0288
No log 1.2 66 0.9545 0.4208 0.9545 0.9770
No log 1.2364 68 0.9726 0.4040 0.9726 0.9862
No log 1.2727 70 0.9553 0.4073 0.9553 0.9774
No log 1.3091 72 0.9131 0.4177 0.9131 0.9556
No log 1.3455 74 0.9002 0.4528 0.9002 0.9488
No log 1.3818 76 0.8594 0.4799 0.8594 0.9270
No log 1.4182 78 0.8258 0.5117 0.8258 0.9088
No log 1.4545 80 0.9147 0.4892 0.9147 0.9564
No log 1.4909 82 1.0884 0.3634 1.0884 1.0433
No log 1.5273 84 1.0696 0.3879 1.0696 1.0342
No log 1.5636 86 0.9266 0.5002 0.9266 0.9626
No log 1.6 88 0.8471 0.5418 0.8471 0.9204
No log 1.6364 90 0.9581 0.5079 0.9581 0.9789
No log 1.6727 92 0.9742 0.5246 0.9742 0.9870
No log 1.7091 94 0.8563 0.6092 0.8563 0.9254
No log 1.7455 96 0.7725 0.6331 0.7725 0.8789
No log 1.7818 98 0.7247 0.6202 0.7247 0.8513
No log 1.8182 100 0.7117 0.6387 0.7117 0.8436
No log 1.8545 102 0.7059 0.6438 0.7059 0.8402
No log 1.8909 104 0.7059 0.6493 0.7059 0.8402
No log 1.9273 106 0.7434 0.6196 0.7434 0.8622
No log 1.9636 108 0.8196 0.6143 0.8196 0.9053
No log 2.0 110 0.8285 0.6059 0.8285 0.9102
No log 2.0364 112 0.7707 0.5534 0.7707 0.8779
No log 2.0727 114 0.7586 0.5259 0.7586 0.8710
No log 2.1091 116 0.8539 0.5151 0.8539 0.9241
No log 2.1455 118 0.9317 0.5687 0.9317 0.9653
No log 2.1818 120 0.9410 0.6201 0.9410 0.9701
No log 2.2182 122 0.8892 0.5937 0.8892 0.9430
No log 2.2545 124 0.8410 0.5873 0.8410 0.9170
No log 2.2909 126 0.8414 0.6028 0.8414 0.9173
No log 2.3273 128 0.8523 0.5727 0.8523 0.9232
No log 2.3636 130 0.9077 0.5841 0.9077 0.9527
No log 2.4 132 0.9911 0.5354 0.9911 0.9955
No log 2.4364 134 1.0162 0.5302 1.0162 1.0081
No log 2.4727 136 0.9816 0.5302 0.9816 0.9908
No log 2.5091 138 0.9414 0.5456 0.9414 0.9702
No log 2.5455 140 0.8831 0.6093 0.8831 0.9398
No log 2.5818 142 0.8606 0.5448 0.8606 0.9277
No log 2.6182 144 0.8385 0.5568 0.8385 0.9157
No log 2.6545 146 0.8026 0.6249 0.8026 0.8959
No log 2.6909 148 0.7972 0.6606 0.7972 0.8928
No log 2.7273 150 0.7637 0.6467 0.7637 0.8739
No log 2.7636 152 0.7405 0.6663 0.7405 0.8605
No log 2.8 154 0.7668 0.6366 0.7668 0.8757
No log 2.8364 156 0.8604 0.6125 0.8604 0.9276
No log 2.8727 158 0.9291 0.5961 0.9291 0.9639
No log 2.9091 160 0.8871 0.6204 0.8871 0.9419
No log 2.9455 162 0.8487 0.6093 0.8487 0.9212
No log 2.9818 164 0.7691 0.6475 0.7691 0.8770
No log 3.0182 166 0.7192 0.6861 0.7192 0.8480
No log 3.0545 168 0.7072 0.7198 0.7072 0.8410
No log 3.0909 170 0.7223 0.7146 0.7223 0.8499
No log 3.1273 172 0.7703 0.6595 0.7703 0.8777
No log 3.1636 174 0.8139 0.6187 0.8139 0.9022
No log 3.2 176 0.8317 0.6051 0.8317 0.9120
No log 3.2364 178 0.8828 0.6061 0.8828 0.9396
No log 3.2727 180 0.8817 0.6054 0.8817 0.9390
No log 3.3091 182 0.8642 0.5955 0.8642 0.9296
No log 3.3455 184 0.8422 0.6269 0.8422 0.9177
No log 3.3818 186 0.8558 0.6397 0.8558 0.9251
No log 3.4182 188 0.8877 0.6397 0.8877 0.9422
No log 3.4545 190 0.9604 0.6067 0.9604 0.9800
No log 3.4909 192 1.0654 0.5674 1.0654 1.0322
No log 3.5273 194 1.0699 0.5742 1.0699 1.0344
No log 3.5636 196 0.9917 0.5785 0.9917 0.9958
No log 3.6 198 0.8423 0.6142 0.8423 0.9178
No log 3.6364 200 0.7247 0.6566 0.7247 0.8513
No log 3.6727 202 0.7047 0.6475 0.7047 0.8395
No log 3.7091 204 0.7028 0.6623 0.7028 0.8383
No log 3.7455 206 0.7296 0.6338 0.7296 0.8542
No log 3.7818 208 0.7218 0.6636 0.7218 0.8496
No log 3.8182 210 0.7747 0.6487 0.7747 0.8802
No log 3.8545 212 0.8372 0.6082 0.8372 0.9150
No log 3.8909 214 0.9235 0.5710 0.9235 0.9610
No log 3.9273 216 0.9890 0.5556 0.9890 0.9945
No log 3.9636 218 0.9660 0.5656 0.9660 0.9829
No log 4.0 220 0.8642 0.5705 0.8642 0.9296
No log 4.0364 222 0.7626 0.6482 0.7626 0.8733
No log 4.0727 224 0.7227 0.6804 0.7227 0.8501
No log 4.1091 226 0.7138 0.6846 0.7138 0.8449
No log 4.1455 228 0.7303 0.6827 0.7303 0.8546
No log 4.1818 230 0.7413 0.6575 0.7413 0.8610
No log 4.2182 232 0.7792 0.6473 0.7792 0.8827
No log 4.2545 234 0.8363 0.5973 0.8363 0.9145
No log 4.2909 236 0.8941 0.5893 0.8941 0.9456
No log 4.3273 238 0.9843 0.5774 0.9843 0.9921
No log 4.3636 240 0.9917 0.5721 0.9917 0.9958
No log 4.4 242 0.8870 0.5785 0.8870 0.9418
No log 4.4364 244 0.7893 0.6575 0.7893 0.8885
No log 4.4727 246 0.7449 0.6671 0.7449 0.8631
No log 4.5091 248 0.7378 0.6747 0.7378 0.8589
No log 4.5455 250 0.7478 0.6663 0.7478 0.8647
No log 4.5818 252 0.8051 0.6500 0.8051 0.8973
No log 4.6182 254 0.8476 0.6151 0.8476 0.9206
No log 4.6545 256 0.9069 0.5698 0.9069 0.9523
No log 4.6909 258 0.9463 0.5998 0.9463 0.9728
No log 4.7273 260 0.9908 0.6104 0.9908 0.9954
No log 4.7636 262 1.0491 0.5777 1.0491 1.0243
No log 4.8 264 1.1351 0.5483 1.1351 1.0654
No log 4.8364 266 1.2018 0.5222 1.2018 1.0962
No log 4.8727 268 1.2209 0.5252 1.2209 1.1049
No log 4.9091 270 1.2027 0.5286 1.2027 1.0967
No log 4.9455 272 1.1323 0.5390 1.1323 1.0641
No log 4.9818 274 1.0284 0.5495 1.0284 1.0141
No log 5.0182 276 0.9071 0.5944 0.9071 0.9524
No log 5.0545 278 0.8279 0.6767 0.8279 0.9099
No log 5.0909 280 0.7770 0.6562 0.7770 0.8815
No log 5.1273 282 0.7601 0.6456 0.7601 0.8719
No log 5.1636 284 0.7688 0.6571 0.7688 0.8768
No log 5.2 286 0.7926 0.6361 0.7926 0.8903
No log 5.2364 288 0.8442 0.6242 0.8442 0.9188
No log 5.2727 290 0.9090 0.5739 0.9090 0.9534
No log 5.3091 292 0.9183 0.5762 0.9183 0.9583
No log 5.3455 294 0.8796 0.6225 0.8796 0.9379
No log 5.3818 296 0.8553 0.6067 0.8553 0.9248
No log 5.4182 298 0.8597 0.6058 0.8597 0.9272
No log 5.4545 300 0.8444 0.6094 0.8444 0.9189
No log 5.4909 302 0.8670 0.5926 0.8670 0.9311
No log 5.5273 304 0.8743 0.5912 0.8743 0.9350
No log 5.5636 306 0.8985 0.5678 0.8985 0.9479
No log 5.6 308 0.8884 0.5718 0.8884 0.9426
No log 5.6364 310 0.8576 0.5780 0.8576 0.9261
No log 5.6727 312 0.8199 0.5768 0.8199 0.9055
No log 5.7091 314 0.7870 0.5974 0.7870 0.8871
No log 5.7455 316 0.8109 0.5919 0.8109 0.9005
No log 5.7818 318 0.8449 0.5768 0.8449 0.9192
No log 5.8182 320 0.8973 0.5706 0.8973 0.9473
No log 5.8545 322 0.9126 0.5617 0.9126 0.9553
No log 5.8909 324 0.8525 0.5733 0.8525 0.9233
No log 5.9273 326 0.7959 0.6110 0.7959 0.8921
No log 5.9636 328 0.7869 0.6246 0.7869 0.8871
No log 6.0 330 0.8073 0.6071 0.8073 0.8985
No log 6.0364 332 0.8212 0.6043 0.8212 0.9062
No log 6.0727 334 0.8375 0.6068 0.8375 0.9151
No log 6.1091 336 0.8494 0.6224 0.8494 0.9216
No log 6.1455 338 0.8509 0.6210 0.8509 0.9224
No log 6.1818 340 0.8512 0.6114 0.8512 0.9226
No log 6.2182 342 0.8826 0.6056 0.8826 0.9394
No log 6.2545 344 0.9362 0.5969 0.9362 0.9676
No log 6.2909 346 0.9534 0.5956 0.9534 0.9764
No log 6.3273 348 0.9465 0.5874 0.9465 0.9729
No log 6.3636 350 0.9037 0.5837 0.9037 0.9506
No log 6.4 352 0.8743 0.5958 0.8743 0.9350
No log 6.4364 354 0.8651 0.6059 0.8651 0.9301
No log 6.4727 356 0.8710 0.6059 0.8710 0.9333
No log 6.5091 358 0.8614 0.6073 0.8614 0.9281
No log 6.5455 360 0.8726 0.6107 0.8726 0.9341
No log 6.5818 362 0.8832 0.5932 0.8832 0.9398
No log 6.6182 364 0.8850 0.5797 0.8850 0.9407
No log 6.6545 366 0.8857 0.5932 0.8857 0.9411
No log 6.6909 368 0.8621 0.6073 0.8621 0.9285
No log 6.7273 370 0.8575 0.6063 0.8575 0.9260
No log 6.7636 372 0.8724 0.6045 0.8724 0.9340
No log 6.8 374 0.8842 0.5923 0.8842 0.9403
No log 6.8364 376 0.8872 0.5923 0.8872 0.9419
No log 6.8727 378 0.8821 0.5910 0.8821 0.9392
No log 6.9091 380 0.8725 0.5923 0.8725 0.9341
No log 6.9455 382 0.8732 0.6002 0.8732 0.9344
No log 6.9818 384 0.8446 0.6235 0.8446 0.9190
No log 7.0182 386 0.8284 0.6273 0.8284 0.9102
No log 7.0545 388 0.8250 0.6244 0.8250 0.9083
No log 7.0909 390 0.8124 0.6238 0.8124 0.9014
No log 7.1273 392 0.7891 0.6381 0.7891 0.8883
No log 7.1636 394 0.7721 0.6201 0.7721 0.8787
No log 7.2 396 0.7939 0.6370 0.7939 0.8910
No log 7.2364 398 0.8467 0.6403 0.8467 0.9202
No log 7.2727 400 0.8908 0.6381 0.8908 0.9438
No log 7.3091 402 0.9031 0.6094 0.9031 0.9503
No log 7.3455 404 0.9296 0.6094 0.9296 0.9642
No log 7.3818 406 0.9277 0.6123 0.9277 0.9632
No log 7.4182 408 0.9003 0.6136 0.9003 0.9489
No log 7.4545 410 0.8961 0.6144 0.8961 0.9466
No log 7.4909 412 0.9108 0.6233 0.9108 0.9544
No log 7.5273 414 0.9012 0.6276 0.9012 0.9493
No log 7.5636 416 0.9124 0.6288 0.9124 0.9552
No log 7.6 418 0.9280 0.6223 0.9280 0.9633
No log 7.6364 420 0.9197 0.5999 0.9197 0.9590
No log 7.6727 422 0.9069 0.6050 0.9069 0.9523
No log 7.7091 424 0.8909 0.5976 0.8909 0.9439
No log 7.7455 426 0.8760 0.5840 0.8760 0.9360
No log 7.7818 428 0.8550 0.5979 0.8550 0.9246
No log 7.8182 430 0.8345 0.6186 0.8345 0.9135
No log 7.8545 432 0.8319 0.6039 0.8319 0.9121
No log 7.8909 434 0.8310 0.5948 0.8310 0.9116
No log 7.9273 436 0.8516 0.5990 0.8516 0.9228
No log 7.9636 438 0.8985 0.5830 0.8985 0.9479
No log 8.0 440 0.9537 0.5658 0.9537 0.9766
No log 8.0364 442 0.9717 0.5879 0.9717 0.9858
No log 8.0727 444 0.9635 0.5881 0.9635 0.9816
No log 8.1091 446 0.9578 0.6155 0.9578 0.9787
No log 8.1455 448 0.9463 0.6132 0.9463 0.9728
No log 8.1818 450 0.9420 0.5888 0.9420 0.9706
No log 8.2182 452 0.9504 0.5749 0.9504 0.9749
No log 8.2545 454 0.9522 0.5679 0.9522 0.9758
No log 8.2909 456 0.9507 0.5580 0.9507 0.9750
No log 8.3273 458 0.9482 0.5429 0.9482 0.9738
No log 8.3636 460 0.9506 0.5440 0.9506 0.9750
No log 8.4 462 0.9425 0.5544 0.9425 0.9708
No log 8.4364 464 0.9298 0.5544 0.9298 0.9643
No log 8.4727 466 0.9094 0.5544 0.9094 0.9536
No log 8.5091 468 0.8880 0.5544 0.8880 0.9423
No log 8.5455 470 0.8596 0.5582 0.8596 0.9272
No log 8.5818 472 0.8496 0.6036 0.8496 0.9218
No log 8.6182 474 0.8444 0.6339 0.8444 0.9189
No log 8.6545 476 0.8556 0.6345 0.8556 0.9250
No log 8.6909 478 0.8832 0.6079 0.8832 0.9398
No log 8.7273 480 0.9227 0.6076 0.9227 0.9606
No log 8.7636 482 0.9452 0.6037 0.9452 0.9722
No log 8.8 484 0.9367 0.6149 0.9367 0.9678
No log 8.8364 486 0.9174 0.6162 0.9174 0.9578
No log 8.8727 488 0.8943 0.6175 0.8943 0.9457
No log 8.9091 490 0.8665 0.6079 0.8665 0.9309
No log 8.9455 492 0.8456 0.6391 0.8456 0.9195
No log 8.9818 494 0.8412 0.6406 0.8412 0.9172
No log 9.0182 496 0.8365 0.6406 0.8365 0.9146
No log 9.0545 498 0.8460 0.6473 0.8460 0.9198
0.4503 9.0909 500 0.8634 0.6345 0.8634 0.9292
0.4503 9.1273 502 0.8833 0.6003 0.8833 0.9398
0.4503 9.1636 504 0.8939 0.5917 0.8939 0.9454
0.4503 9.2 506 0.8961 0.5917 0.8961 0.9466
0.4503 9.2364 508 0.8996 0.5917 0.8996 0.9485
0.4503 9.2727 510 0.8877 0.5917 0.8877 0.9422
0.4503 9.3091 512 0.8760 0.6092 0.8760 0.9360
0.4503 9.3455 514 0.8682 0.6187 0.8682 0.9317
0.4503 9.3818 516 0.8645 0.6187 0.8645 0.9298
0.4503 9.4182 518 0.8627 0.6187 0.8627 0.9288
0.4503 9.4545 520 0.8652 0.6187 0.8652 0.9302
0.4503 9.4909 522 0.8670 0.6142 0.8670 0.9311
0.4503 9.5273 524 0.8613 0.6142 0.8613 0.9281
0.4503 9.5636 526 0.8553 0.6218 0.8553 0.9248
0.4503 9.6 528 0.8558 0.6263 0.8558 0.9251
0.4503 9.6364 530 0.8600 0.6168 0.8600 0.9274
0.4503 9.6727 532 0.8645 0.6168 0.8645 0.9298
0.4503 9.7091 534 0.8702 0.6168 0.8702 0.9329
0.4503 9.7455 536 0.8749 0.6168 0.8749 0.9354
0.4503 9.7818 538 0.8766 0.6168 0.8766 0.9363
0.4503 9.8182 540 0.8759 0.6168 0.8759 0.9359
0.4503 9.8545 542 0.8766 0.6168 0.8766 0.9363
0.4503 9.8909 544 0.8759 0.6168 0.8759 0.9359
0.4503 9.9273 546 0.8766 0.6168 0.8766 0.9363
0.4503 9.9636 548 0.8769 0.6168 0.8769 0.9365
0.4503 10.0 550 0.8772 0.6168 0.8772 0.9366

Framework versions

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