ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k2_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: 1.0372
  • Qwk: 0.5714
  • Mse: 1.0372
  • Rmse: 1.0184

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 6.8578 0.0308 6.8578 2.6187
No log 0.4444 4 4.6217 0.0455 4.6217 2.1498
No log 0.6667 6 3.2807 0.0546 3.2807 1.8113
No log 0.8889 8 3.5359 -0.0108 3.5359 1.8804
No log 1.1111 10 2.7983 -0.0444 2.7983 1.6728
No log 1.3333 12 2.0670 0.1176 2.0670 1.4377
No log 1.5556 14 1.7257 0.2037 1.7257 1.3136
No log 1.7778 16 1.7476 0.25 1.7476 1.3220
No log 2.0 18 1.9238 0.2992 1.9238 1.3870
No log 2.2222 20 1.8263 0.3692 1.8263 1.3514
No log 2.4444 22 1.5323 0.4127 1.5323 1.2379
No log 2.6667 24 1.3259 0.2364 1.3259 1.1515
No log 2.8889 26 1.6415 0.2182 1.6415 1.2812
No log 3.1111 28 1.4552 0.2982 1.4552 1.2063
No log 3.3333 30 1.0870 0.5271 1.0870 1.0426
No log 3.5556 32 1.2188 0.5493 1.2188 1.1040
No log 3.7778 34 1.1263 0.5775 1.1263 1.0613
No log 4.0 36 1.0219 0.6074 1.0219 1.0109
No log 4.2222 38 0.9976 0.6519 0.9976 0.9988
No log 4.4444 40 1.1445 0.5548 1.1445 1.0698
No log 4.6667 42 1.1721 0.5963 1.1721 1.0827
No log 4.8889 44 0.9559 0.6479 0.9559 0.9777
No log 5.1111 46 1.1124 0.5985 1.1124 1.0547
No log 5.3333 48 1.0382 0.6119 1.0382 1.0189
No log 5.5556 50 0.8116 0.7 0.8116 0.9009
No log 5.7778 52 0.8416 0.7183 0.8416 0.9174
No log 6.0 54 0.8945 0.6815 0.8945 0.9458
No log 6.2222 56 0.9174 0.6423 0.9174 0.9578
No log 6.4444 58 1.0776 0.5263 1.0776 1.0381
No log 6.6667 60 1.1476 0.5224 1.1476 1.0712
No log 6.8889 62 0.9633 0.6377 0.9633 0.9815
No log 7.1111 64 0.9754 0.6761 0.9754 0.9876
No log 7.3333 66 1.0304 0.6241 1.0304 1.0151
No log 7.5556 68 0.9863 0.6519 0.9863 0.9931
No log 7.7778 70 1.0885 0.5736 1.0885 1.0433
No log 8.0 72 1.4353 0.4252 1.4353 1.1980
No log 8.2222 74 1.3511 0.4567 1.3511 1.1624
No log 8.4444 76 1.0689 0.5161 1.0689 1.0339
No log 8.6667 78 1.0222 0.576 1.0222 1.0110
No log 8.8889 80 0.9871 0.6047 0.9871 0.9936
No log 9.1111 82 1.0996 0.5954 1.0996 1.0486
No log 9.3333 84 1.2094 0.5802 1.2094 1.0997
No log 9.5556 86 1.3074 0.5 1.3074 1.1434
No log 9.7778 88 1.3668 0.4733 1.3668 1.1691
No log 10.0 90 1.0939 0.6154 1.0939 1.0459
No log 10.2222 92 0.9013 0.7299 0.9013 0.9494
No log 10.4444 94 0.8712 0.7391 0.8712 0.9334
No log 10.6667 96 1.0158 0.5735 1.0158 1.0079
No log 10.8889 98 1.1644 0.4928 1.1644 1.0791
No log 11.1111 100 1.2251 0.5106 1.2251 1.1069
No log 11.3333 102 1.0808 0.5594 1.0808 1.0396
No log 11.5556 104 0.8490 0.6806 0.8490 0.9214
No log 11.7778 106 0.8732 0.6806 0.8732 0.9345
No log 12.0 108 0.9510 0.6619 0.9510 0.9752
No log 12.2222 110 1.2357 0.4853 1.2357 1.1116
No log 12.4444 112 1.2942 0.4511 1.2942 1.1376
No log 12.6667 114 1.0644 0.6119 1.0644 1.0317
No log 12.8889 116 0.9928 0.6370 0.9928 0.9964
No log 13.1111 118 0.9832 0.6119 0.9832 0.9916
No log 13.3333 120 1.0916 0.5926 1.0916 1.0448
No log 13.5556 122 1.1692 0.5612 1.1692 1.0813
No log 13.7778 124 1.0298 0.6043 1.0298 1.0148
No log 14.0 126 0.9028 0.6569 0.9028 0.9501
No log 14.2222 128 0.9548 0.6061 0.9548 0.9771
No log 14.4444 130 1.1279 0.5426 1.1279 1.0620
No log 14.6667 132 1.1766 0.5191 1.1766 1.0847
No log 14.8889 134 1.3029 0.4848 1.3029 1.1414
No log 15.1111 136 1.2368 0.5113 1.2368 1.1121
No log 15.3333 138 1.0217 0.5312 1.0217 1.0108
No log 15.5556 140 0.9483 0.5909 0.9483 0.9738
No log 15.7778 142 0.9784 0.5426 0.9784 0.9891
No log 16.0 144 1.0258 0.5312 1.0258 1.0128
No log 16.2222 146 1.2456 0.4925 1.2456 1.1161
No log 16.4444 148 1.3073 0.4776 1.3073 1.1434
No log 16.6667 150 1.2174 0.5 1.2174 1.1034
No log 16.8889 152 1.0491 0.5354 1.0491 1.0242
No log 17.1111 154 0.9968 0.544 0.9968 0.9984
No log 17.3333 156 1.0457 0.5354 1.0457 1.0226
No log 17.5556 158 1.1955 0.5426 1.1955 1.0934
No log 17.7778 160 1.1900 0.5426 1.1900 1.0909
No log 18.0 162 1.1020 0.5426 1.1020 1.0498
No log 18.2222 164 0.9908 0.5469 0.9908 0.9954
No log 18.4444 166 0.8777 0.6222 0.8777 0.9368
No log 18.6667 168 0.7850 0.7 0.7850 0.8860
No log 18.8889 170 0.8044 0.7246 0.8044 0.8969
No log 19.1111 172 0.8168 0.6667 0.8168 0.9038
No log 19.3333 174 0.8802 0.5581 0.8802 0.9382
No log 19.5556 176 0.9137 0.5625 0.9137 0.9559
No log 19.7778 178 0.8881 0.6202 0.8881 0.9424
No log 20.0 180 0.8947 0.6615 0.8947 0.9459
No log 20.2222 182 0.9134 0.6567 0.9134 0.9557
No log 20.4444 184 0.8783 0.625 0.8783 0.9372
No log 20.6667 186 0.9476 0.5649 0.9476 0.9735
No log 20.8889 188 1.0936 0.5455 1.0936 1.0457
No log 21.1111 190 1.0584 0.5802 1.0584 1.0288
No log 21.3333 192 0.9328 0.5954 0.9328 0.9658
No log 21.5556 194 0.9221 0.6154 0.9221 0.9603
No log 21.7778 196 0.9273 0.5954 0.9273 0.9630
No log 22.0 198 1.0601 0.5778 1.0601 1.0296
No log 22.2222 200 1.1689 0.4925 1.1689 1.0811
No log 22.4444 202 1.1396 0.5185 1.1396 1.0675
No log 22.6667 204 0.9748 0.6176 0.9748 0.9873
No log 22.8889 206 0.9039 0.6316 0.9039 0.9507
No log 23.1111 208 0.9200 0.6316 0.9200 0.9592
No log 23.3333 210 1.0144 0.5606 1.0144 1.0072
No log 23.5556 212 1.0499 0.5538 1.0499 1.0247
No log 23.7778 214 0.9493 0.5954 0.9493 0.9743
No log 24.0 216 0.8873 0.5954 0.8873 0.9419
No log 24.2222 218 0.8757 0.6 0.8757 0.9358
No log 24.4444 220 0.9017 0.6316 0.9017 0.9496
No log 24.6667 222 0.9555 0.5954 0.9555 0.9775
No log 24.8889 224 1.0284 0.5909 1.0284 1.0141
No log 25.1111 226 0.9799 0.5954 0.9799 0.9899
No log 25.3333 228 0.8939 0.6047 0.8939 0.9455
No log 25.5556 230 0.8485 0.6119 0.8485 0.9211
No log 25.7778 232 0.8125 0.6667 0.8125 0.9014
No log 26.0 234 0.8890 0.6316 0.8890 0.9429
No log 26.2222 236 0.9098 0.6370 0.9098 0.9539
No log 26.4444 238 0.8438 0.6667 0.8438 0.9186
No log 26.6667 240 0.8046 0.6667 0.8046 0.8970
No log 26.8889 242 0.8473 0.6818 0.8473 0.9205
No log 27.1111 244 0.9046 0.6094 0.9046 0.9511
No log 27.3333 246 0.9694 0.6094 0.9694 0.9846
No log 27.5556 248 1.0056 0.5873 1.0056 1.0028
No log 27.7778 250 1.0334 0.5873 1.0334 1.0165
No log 28.0 252 1.0315 0.5873 1.0315 1.0156
No log 28.2222 254 0.9804 0.6202 0.9804 0.9902
No log 28.4444 256 0.9546 0.6202 0.9546 0.9770
No log 28.6667 258 1.0404 0.5865 1.0404 1.0200
No log 28.8889 260 1.1532 0.5373 1.1532 1.0739
No log 29.1111 262 1.1176 0.5564 1.1176 1.0572
No log 29.3333 264 1.0926 0.5821 1.0926 1.0453
No log 29.5556 266 1.1013 0.5606 1.1013 1.0494
No log 29.7778 268 1.1030 0.5496 1.1030 1.0502
No log 30.0 270 1.0210 0.6142 1.0210 1.0104
No log 30.2222 272 0.9717 0.6094 0.9717 0.9858
No log 30.4444 274 0.9738 0.6094 0.9738 0.9868
No log 30.6667 276 0.9616 0.6260 0.9616 0.9806
No log 30.8889 278 0.9633 0.6963 0.9633 0.9815
No log 31.1111 280 0.9606 0.6716 0.9606 0.9801
No log 31.3333 282 0.9379 0.6716 0.9379 0.9685
No log 31.5556 284 0.9334 0.6716 0.9334 0.9661
No log 31.7778 286 0.9352 0.6190 0.9352 0.9670
No log 32.0 288 0.9707 0.5827 0.9707 0.9853
No log 32.2222 290 1.0338 0.5669 1.0338 1.0168
No log 32.4444 292 1.0297 0.5938 1.0297 1.0147
No log 32.6667 294 0.9832 0.544 0.9832 0.9915
No log 32.8889 296 0.9643 0.5323 0.9643 0.9820
No log 33.1111 298 0.9312 0.5891 0.9312 0.9650
No log 33.3333 300 0.9164 0.6154 0.9164 0.9573
No log 33.5556 302 0.9306 0.592 0.9306 0.9647
No log 33.7778 304 0.9819 0.5873 0.9819 0.9909
No log 34.0 306 1.0094 0.5873 1.0094 1.0047
No log 34.2222 308 0.9971 0.5760 0.9971 0.9986
No log 34.4444 310 1.0044 0.5484 1.0044 1.0022
No log 34.6667 312 1.0053 0.5760 1.0053 1.0026
No log 34.8889 314 0.9868 0.5873 0.9868 0.9934
No log 35.1111 316 0.9805 0.5873 0.9805 0.9902
No log 35.3333 318 0.9673 0.5873 0.9673 0.9835
No log 35.5556 320 0.9584 0.5873 0.9584 0.9790
No log 35.7778 322 0.9660 0.5760 0.9660 0.9829
No log 36.0 324 0.9680 0.5873 0.9680 0.9839
No log 36.2222 326 0.9527 0.5873 0.9527 0.9760
No log 36.4444 328 0.9191 0.5827 0.9191 0.9587
No log 36.6667 330 0.9086 0.6094 0.9086 0.9532
No log 36.8889 332 0.8846 0.6094 0.8846 0.9405
No log 37.1111 334 0.8593 0.6567 0.8593 0.9270
No log 37.3333 336 0.8706 0.6212 0.8706 0.9330
No log 37.5556 338 0.9002 0.6107 0.9002 0.9488
No log 37.7778 340 0.9242 0.5873 0.9242 0.9614
No log 38.0 342 0.9843 0.6142 0.9843 0.9921
No log 38.2222 344 1.0059 0.6142 1.0059 1.0029
No log 38.4444 346 0.9725 0.6142 0.9725 0.9862
No log 38.6667 348 0.9276 0.5984 0.9276 0.9631
No log 38.8889 350 0.9264 0.5984 0.9264 0.9625
No log 39.1111 352 0.9287 0.5984 0.9287 0.9637
No log 39.3333 354 0.9142 0.6154 0.9142 0.9561
No log 39.5556 356 0.9123 0.6190 0.9123 0.9551
No log 39.7778 358 0.9326 0.6202 0.9326 0.9657
No log 40.0 360 0.9645 0.6154 0.9645 0.9821
No log 40.2222 362 0.9648 0.6154 0.9648 0.9822
No log 40.4444 364 0.9482 0.6202 0.9482 0.9738
No log 40.6667 366 0.9453 0.6202 0.9453 0.9723
No log 40.8889 368 0.9336 0.6202 0.9336 0.9662
No log 41.1111 370 0.9372 0.6406 0.9372 0.9681
No log 41.3333 372 0.9740 0.6202 0.9740 0.9869
No log 41.5556 374 1.0083 0.5827 1.0083 1.0041
No log 41.7778 376 1.0308 0.5827 1.0308 1.0153
No log 42.0 378 1.0337 0.5827 1.0337 1.0167
No log 42.2222 380 1.0117 0.5827 1.0117 1.0058
No log 42.4444 382 0.9971 0.5873 0.9971 0.9985
No log 42.6667 384 1.0066 0.544 1.0066 1.0033
No log 42.8889 386 1.0057 0.5802 1.0057 1.0028
No log 43.1111 388 0.9981 0.5758 0.9981 0.9990
No log 43.3333 390 0.9821 0.5891 0.9821 0.9910
No log 43.5556 392 0.9874 0.6260 0.9874 0.9937
No log 43.7778 394 1.0097 0.6142 1.0097 1.0048
No log 44.0 396 1.0231 0.5938 1.0231 1.0115
No log 44.2222 398 1.0417 0.5938 1.0417 1.0206
No log 44.4444 400 1.0072 0.6154 1.0072 1.0036
No log 44.6667 402 0.9862 0.6094 0.9862 0.9931
No log 44.8889 404 0.9685 0.6094 0.9685 0.9841
No log 45.1111 406 0.9565 0.6094 0.9566 0.9780
No log 45.3333 408 0.9448 0.6094 0.9448 0.9720
No log 45.5556 410 0.9401 0.6364 0.9401 0.9696
No log 45.7778 412 0.9430 0.6308 0.9430 0.9711
No log 46.0 414 0.9659 0.6154 0.9659 0.9828
No log 46.2222 416 1.0272 0.6165 1.0272 1.0135
No log 46.4444 418 1.0475 0.5865 1.0475 1.0235
No log 46.6667 420 0.9952 0.6212 0.9952 0.9976
No log 46.8889 422 0.9054 0.6154 0.9054 0.9515
No log 47.1111 424 0.8488 0.6316 0.8488 0.9213
No log 47.3333 426 0.8370 0.6466 0.8370 0.9149
No log 47.5556 428 0.8243 0.6815 0.8243 0.9079
No log 47.7778 430 0.8262 0.6815 0.8262 0.9090
No log 48.0 432 0.8450 0.6512 0.8450 0.9192
No log 48.2222 434 0.8670 0.6406 0.8670 0.9311
No log 48.4444 436 0.8801 0.6032 0.8801 0.9381
No log 48.6667 438 0.8908 0.5938 0.8908 0.9438
No log 48.8889 440 0.8981 0.5873 0.8981 0.9477
No log 49.1111 442 0.9232 0.6406 0.9232 0.9609
No log 49.3333 444 0.9472 0.6406 0.9472 0.9732
No log 49.5556 446 0.9463 0.6406 0.9463 0.9728
No log 49.7778 448 0.9080 0.6094 0.9080 0.9529
No log 50.0 450 0.8695 0.6466 0.8695 0.9325
No log 50.2222 452 0.8573 0.6567 0.8573 0.9259
No log 50.4444 454 0.8667 0.6466 0.8667 0.9310
No log 50.6667 456 0.8876 0.6269 0.8876 0.9421
No log 50.8889 458 0.9230 0.6107 0.9230 0.9607
No log 51.1111 460 0.9771 0.6212 0.9771 0.9885
No log 51.3333 462 0.9836 0.6107 0.9836 0.9918
No log 51.5556 464 0.9622 0.6154 0.9622 0.9809
No log 51.7778 466 0.9743 0.5891 0.9743 0.9871
No log 52.0 468 0.9789 0.5891 0.9789 0.9894
No log 52.2222 470 0.9755 0.6094 0.9755 0.9877
No log 52.4444 472 0.9827 0.6094 0.9827 0.9913
No log 52.6667 474 0.9926 0.6094 0.9926 0.9963
No log 52.8889 476 1.0043 0.6094 1.0043 1.0022
No log 53.1111 478 1.0301 0.6142 1.0301 1.0149
No log 53.3333 480 1.0343 0.5891 1.0343 1.0170
No log 53.5556 482 1.0293 0.6107 1.0293 1.0146
No log 53.7778 484 1.0151 0.6212 1.0151 1.0075
No log 54.0 486 0.9688 0.6212 0.9688 0.9843
No log 54.2222 488 0.9502 0.6357 0.9502 0.9748
No log 54.4444 490 0.9379 0.5984 0.9379 0.9684
No log 54.6667 492 0.9535 0.5984 0.9535 0.9765
No log 54.8889 494 0.9750 0.5984 0.9750 0.9874
No log 55.1111 496 0.9916 0.5984 0.9916 0.9958
No log 55.3333 498 0.9865 0.5873 0.9865 0.9932
0.2429 55.5556 500 0.9727 0.5873 0.9727 0.9863
0.2429 55.7778 502 0.9593 0.5984 0.9593 0.9794
0.2429 56.0 504 0.9707 0.576 0.9707 0.9852
0.2429 56.2222 506 0.9866 0.6047 0.9866 0.9933
0.2429 56.4444 508 0.9968 0.6047 0.9968 0.9984
0.2429 56.6667 510 1.0032 0.6047 1.0032 1.0016
0.2429 56.8889 512 0.9776 0.6462 0.9776 0.9887
0.2429 57.1111 514 0.9509 0.6357 0.9509 0.9752
0.2429 57.3333 516 0.9477 0.5984 0.9477 0.9735
0.2429 57.5556 518 0.9670 0.6357 0.9670 0.9833
0.2429 57.7778 520 0.9884 0.6357 0.9884 0.9942
0.2429 58.0 522 0.9984 0.6094 0.9984 0.9992
0.2429 58.2222 524 1.0130 0.5827 1.0130 1.0065
0.2429 58.4444 526 1.0086 0.5714 1.0086 1.0043
0.2429 58.6667 528 1.0058 0.5984 1.0058 1.0029
0.2429 58.8889 530 0.9785 0.5984 0.9785 0.9892
0.2429 59.1111 532 0.9550 0.5984 0.9550 0.9772
0.2429 59.3333 534 0.9669 0.5984 0.9669 0.9833
0.2429 59.5556 536 0.9943 0.6094 0.9943 0.9971
0.2429 59.7778 538 1.0226 0.6357 1.0226 1.0112
0.2429 60.0 540 1.0603 0.6154 1.0603 1.0297
0.2429 60.2222 542 1.0610 0.6154 1.0610 1.0300
0.2429 60.4444 544 1.0345 0.6154 1.0345 1.0171
0.2429 60.6667 546 0.9843 0.6462 0.9843 0.9921
0.2429 60.8889 548 0.9503 0.6202 0.9503 0.9749
0.2429 61.1111 550 0.9233 0.5984 0.9233 0.9609
0.2429 61.3333 552 0.9201 0.5984 0.9201 0.9592
0.2429 61.5556 554 0.9175 0.6094 0.9175 0.9579
0.2429 61.7778 556 0.9242 0.6412 0.9242 0.9614
0.2429 62.0 558 0.9362 0.6412 0.9362 0.9676
0.2429 62.2222 560 0.9371 0.6412 0.9371 0.9680
0.2429 62.4444 562 0.9530 0.6412 0.9530 0.9762
0.2429 62.6667 564 0.9636 0.6412 0.9636 0.9816
0.2429 62.8889 566 0.9769 0.6202 0.9769 0.9884
0.2429 63.1111 568 0.9882 0.5938 0.9882 0.9941
0.2429 63.3333 570 1.0103 0.5827 1.0103 1.0051
0.2429 63.5556 572 1.0249 0.5827 1.0249 1.0124
0.2429 63.7778 574 1.0286 0.5714 1.0286 1.0142
0.2429 64.0 576 1.0293 0.5714 1.0293 1.0146
0.2429 64.2222 578 1.0372 0.5714 1.0372 1.0184

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
6
Safetensors
Model size
135M params
Tensor type
F32
·
Inference Providers NEW
This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Model tree for MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k2_task1_organization

Finetuned
(4222)
this model