ArabicNewSplits5_FineTuningAraBERT_run1_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: 0.6426
  • Qwk: 0.7175
  • Mse: 0.6426
  • Rmse: 0.8016

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 0.0317 2 5.3681 -0.0476 5.3681 2.3169
No log 0.0635 4 3.2253 0.0687 3.2253 1.7959
No log 0.0952 6 2.4011 -0.0386 2.4011 1.5496
No log 0.1270 8 2.3973 -0.1164 2.3973 1.5483
No log 0.1587 10 1.8465 -0.0122 1.8465 1.3588
No log 0.1905 12 1.6412 -0.0074 1.6412 1.2811
No log 0.2222 14 1.6727 -0.0074 1.6727 1.2933
No log 0.2540 16 1.4914 0.0243 1.4914 1.2212
No log 0.2857 18 1.3517 0.1857 1.3517 1.1626
No log 0.3175 20 1.2453 0.2589 1.2453 1.1159
No log 0.3492 22 1.3820 0.1552 1.3820 1.1756
No log 0.3810 24 1.8751 -0.0133 1.8751 1.3694
No log 0.4127 26 2.4822 -0.1072 2.4822 1.5755
No log 0.4444 28 3.3927 -0.1419 3.3927 1.8419
No log 0.4762 30 2.8127 -0.1404 2.8127 1.6771
No log 0.5079 32 1.6155 0.0825 1.6155 1.2710
No log 0.5397 34 1.3309 0.1288 1.3309 1.1537
No log 0.5714 36 1.4569 0.0712 1.4569 1.2070
No log 0.6032 38 1.4171 0.1036 1.4171 1.1904
No log 0.6349 40 1.4952 0.0884 1.4952 1.2228
No log 0.6667 42 1.5296 0.0884 1.5296 1.2368
No log 0.6984 44 1.5304 0.0884 1.5304 1.2371
No log 0.7302 46 1.4303 0.0908 1.4303 1.1960
No log 0.7619 48 1.3051 0.1824 1.3051 1.1424
No log 0.7937 50 1.4319 0.1070 1.4319 1.1966
No log 0.8254 52 1.4758 0.0585 1.4758 1.2148
No log 0.8571 54 1.4454 0.0654 1.4454 1.2023
No log 0.8889 56 1.3293 0.0942 1.3293 1.1530
No log 0.9206 58 1.3161 0.1398 1.3161 1.1472
No log 0.9524 60 1.5397 0.1300 1.5397 1.2409
No log 0.9841 62 1.6132 0.1447 1.6132 1.2701
No log 1.0159 64 1.6671 0.1737 1.6671 1.2912
No log 1.0476 66 1.8785 0.2148 1.8785 1.3706
No log 1.0794 68 1.7042 0.2057 1.7042 1.3055
No log 1.1111 70 1.3753 0.2829 1.3753 1.1727
No log 1.1429 72 1.0826 0.4033 1.0826 1.0405
No log 1.1746 74 1.0716 0.4403 1.0716 1.0352
No log 1.2063 76 1.1427 0.3709 1.1427 1.0690
No log 1.2381 78 1.2830 0.3588 1.2830 1.1327
No log 1.2698 80 1.6391 0.2860 1.6391 1.2803
No log 1.3016 82 2.0908 0.2429 2.0908 1.4459
No log 1.3333 84 2.0686 0.2574 2.0686 1.4383
No log 1.3651 86 1.6876 0.2804 1.6876 1.2991
No log 1.3968 88 1.2792 0.3360 1.2792 1.1310
No log 1.4286 90 1.0311 0.4647 1.0311 1.0155
No log 1.4603 92 0.8860 0.4435 0.8860 0.9413
No log 1.4921 94 0.8111 0.5402 0.8111 0.9006
No log 1.5238 96 0.8069 0.5024 0.8069 0.8983
No log 1.5556 98 0.7924 0.5308 0.7924 0.8902
No log 1.5873 100 0.7737 0.5817 0.7737 0.8796
No log 1.6190 102 0.7248 0.5847 0.7248 0.8514
No log 1.6508 104 0.7218 0.5786 0.7218 0.8496
No log 1.6825 106 0.7830 0.5943 0.7830 0.8849
No log 1.7143 108 0.9105 0.5459 0.9105 0.9542
No log 1.7460 110 0.9560 0.5744 0.9560 0.9777
No log 1.7778 112 0.8757 0.5670 0.8757 0.9358
No log 1.8095 114 0.7373 0.5504 0.7373 0.8587
No log 1.8413 116 0.6449 0.5932 0.6449 0.8031
No log 1.8730 118 0.5899 0.6672 0.5899 0.7680
No log 1.9048 120 0.5736 0.6839 0.5736 0.7573
No log 1.9365 122 0.5656 0.6816 0.5656 0.7520
No log 1.9683 124 0.5681 0.6527 0.5681 0.7537
No log 2.0 126 0.5767 0.6604 0.5767 0.7594
No log 2.0317 128 0.5939 0.6404 0.5939 0.7707
No log 2.0635 130 0.5903 0.6569 0.5903 0.7683
No log 2.0952 132 0.6101 0.6666 0.6101 0.7811
No log 2.1270 134 0.6157 0.6692 0.6157 0.7847
No log 2.1587 136 0.5710 0.6717 0.5710 0.7556
No log 2.1905 138 0.6208 0.6880 0.6208 0.7879
No log 2.2222 140 0.6334 0.6652 0.6334 0.7959
No log 2.2540 142 0.5943 0.6858 0.5943 0.7709
No log 2.2857 144 0.5865 0.6961 0.5865 0.7659
No log 2.3175 146 0.5418 0.7370 0.5418 0.7361
No log 2.3492 148 0.5146 0.7316 0.5146 0.7173
No log 2.3810 150 0.5546 0.7339 0.5546 0.7447
No log 2.4127 152 0.5570 0.7118 0.5570 0.7463
No log 2.4444 154 0.5945 0.7233 0.5945 0.7711
No log 2.4762 156 0.5585 0.7246 0.5585 0.7473
No log 2.5079 158 0.5266 0.7498 0.5266 0.7257
No log 2.5397 160 0.6476 0.7283 0.6476 0.8047
No log 2.5714 162 0.7600 0.6454 0.7600 0.8718
No log 2.6032 164 0.6772 0.7119 0.6772 0.8229
No log 2.6349 166 0.6198 0.6999 0.6198 0.7873
No log 2.6667 168 0.5447 0.7510 0.5447 0.7380
No log 2.6984 170 0.5688 0.6990 0.5688 0.7542
No log 2.7302 172 0.6030 0.7179 0.6030 0.7765
No log 2.7619 174 0.5754 0.7363 0.5754 0.7585
No log 2.7937 176 0.5998 0.7238 0.5998 0.7745
No log 2.8254 178 0.7116 0.6511 0.7116 0.8436
No log 2.8571 180 0.6837 0.6480 0.6837 0.8268
No log 2.8889 182 0.5720 0.7441 0.5720 0.7563
No log 2.9206 184 0.6311 0.7190 0.6311 0.7944
No log 2.9524 186 0.8523 0.6457 0.8523 0.9232
No log 2.9841 188 1.0074 0.5276 1.0074 1.0037
No log 3.0159 190 0.9778 0.5679 0.9778 0.9889
No log 3.0476 192 0.8686 0.6227 0.8686 0.9320
No log 3.0794 194 0.7872 0.6645 0.7872 0.8872
No log 3.1111 196 0.7205 0.7185 0.7205 0.8488
No log 3.1429 198 0.7554 0.6850 0.7554 0.8692
No log 3.1746 200 0.8529 0.6035 0.8529 0.9235
No log 3.2063 202 0.9469 0.5636 0.9469 0.9731
No log 3.2381 204 0.8802 0.5932 0.8802 0.9382
No log 3.2698 206 0.8139 0.6249 0.8139 0.9021
No log 3.3016 208 0.7552 0.6722 0.7552 0.8690
No log 3.3333 210 0.6780 0.6985 0.6780 0.8234
No log 3.3651 212 0.6194 0.7294 0.6194 0.7870
No log 3.3968 214 0.6056 0.7358 0.6056 0.7782
No log 3.4286 216 0.5996 0.7219 0.5996 0.7743
No log 3.4603 218 0.5996 0.7214 0.5996 0.7744
No log 3.4921 220 0.6322 0.7395 0.6322 0.7951
No log 3.5238 222 0.6439 0.7265 0.6439 0.8024
No log 3.5556 224 0.6159 0.7143 0.6159 0.7848
No log 3.5873 226 0.5605 0.7226 0.5605 0.7486
No log 3.6190 228 0.5337 0.7300 0.5337 0.7306
No log 3.6508 230 0.5436 0.7398 0.5436 0.7373
No log 3.6825 232 0.5816 0.7456 0.5816 0.7626
No log 3.7143 234 0.6235 0.7334 0.6235 0.7896
No log 3.7460 236 0.6107 0.7355 0.6107 0.7815
No log 3.7778 238 0.5432 0.7608 0.5432 0.7370
No log 3.8095 240 0.5068 0.7534 0.5068 0.7119
No log 3.8413 242 0.5086 0.7503 0.5086 0.7131
No log 3.8730 244 0.5269 0.7756 0.5269 0.7259
No log 3.9048 246 0.5073 0.7466 0.5073 0.7123
No log 3.9365 248 0.5339 0.7433 0.5339 0.7307
No log 3.9683 250 0.6607 0.7219 0.6607 0.8128
No log 4.0 252 0.7048 0.7304 0.7048 0.8395
No log 4.0317 254 0.6287 0.7371 0.6287 0.7929
No log 4.0635 256 0.5380 0.7429 0.5380 0.7335
No log 4.0952 258 0.5161 0.7546 0.5161 0.7184
No log 4.1270 260 0.5214 0.7604 0.5214 0.7221
No log 4.1587 262 0.5570 0.7379 0.5570 0.7463
No log 4.1905 264 0.5979 0.7228 0.5979 0.7732
No log 4.2222 266 0.6901 0.7118 0.6901 0.8307
No log 4.2540 268 0.7164 0.7118 0.7164 0.8464
No log 4.2857 270 0.7404 0.7138 0.7404 0.8605
No log 4.3175 272 0.7576 0.6783 0.7576 0.8704
No log 4.3492 274 0.8438 0.6197 0.8438 0.9186
No log 4.3810 276 0.8571 0.6202 0.8571 0.9258
No log 4.4127 278 0.7794 0.6504 0.7794 0.8828
No log 4.4444 280 0.6718 0.7142 0.6718 0.8196
No log 4.4762 282 0.6199 0.7319 0.6199 0.7873
No log 4.5079 284 0.6107 0.7340 0.6107 0.7815
No log 4.5397 286 0.6218 0.7381 0.6218 0.7886
No log 4.5714 288 0.6582 0.7374 0.6582 0.8113
No log 4.6032 290 0.6868 0.7151 0.6868 0.8288
No log 4.6349 292 0.7479 0.6796 0.7479 0.8648
No log 4.6667 294 0.7179 0.6876 0.7179 0.8473
No log 4.6984 296 0.6505 0.7290 0.6505 0.8065
No log 4.7302 298 0.6060 0.7295 0.6060 0.7785
No log 4.7619 300 0.6199 0.7295 0.6199 0.7873
No log 4.7937 302 0.6569 0.7300 0.6569 0.8105
No log 4.8254 304 0.6416 0.7226 0.6416 0.8010
No log 4.8571 306 0.6190 0.7326 0.6190 0.7868
No log 4.8889 308 0.6205 0.7284 0.6205 0.7877
No log 4.9206 310 0.5968 0.7247 0.5968 0.7725
No log 4.9524 312 0.5891 0.7363 0.5891 0.7675
No log 4.9841 314 0.6165 0.7324 0.6165 0.7852
No log 5.0159 316 0.6111 0.7218 0.6111 0.7818
No log 5.0476 318 0.6058 0.7200 0.6058 0.7783
No log 5.0794 320 0.5960 0.7133 0.5960 0.7720
No log 5.1111 322 0.5740 0.7490 0.5740 0.7576
No log 5.1429 324 0.5666 0.7490 0.5666 0.7528
No log 5.1746 326 0.5636 0.7453 0.5636 0.7507
No log 5.2063 328 0.5849 0.7410 0.5849 0.7648
No log 5.2381 330 0.5898 0.7451 0.5898 0.7680
No log 5.2698 332 0.5844 0.7451 0.5844 0.7644
No log 5.3016 334 0.6019 0.7507 0.6019 0.7758
No log 5.3333 336 0.6459 0.7061 0.6459 0.8037
No log 5.3651 338 0.7611 0.6966 0.7611 0.8724
No log 5.3968 340 0.8269 0.6811 0.8269 0.9093
No log 5.4286 342 0.7891 0.6871 0.7891 0.8883
No log 5.4603 344 0.6944 0.7004 0.6944 0.8333
No log 5.4921 346 0.6078 0.7320 0.6078 0.7796
No log 5.5238 348 0.5799 0.7343 0.5799 0.7615
No log 5.5556 350 0.5813 0.7313 0.5813 0.7624
No log 5.5873 352 0.5803 0.7280 0.5803 0.7618
No log 5.6190 354 0.5808 0.7374 0.5808 0.7621
No log 5.6508 356 0.5968 0.7226 0.5968 0.7725
No log 5.6825 358 0.6287 0.7297 0.6287 0.7929
No log 5.7143 360 0.6199 0.7297 0.6199 0.7873
No log 5.7460 362 0.5836 0.7228 0.5836 0.7640
No log 5.7778 364 0.5533 0.7487 0.5533 0.7439
No log 5.8095 366 0.5516 0.7530 0.5516 0.7427
No log 5.8413 368 0.5553 0.7338 0.5553 0.7452
No log 5.8730 370 0.5990 0.7346 0.5990 0.7739
No log 5.9048 372 0.6855 0.7258 0.6855 0.8279
No log 5.9365 374 0.7306 0.7073 0.7306 0.8548
No log 5.9683 376 0.6987 0.7389 0.6987 0.8359
No log 6.0 378 0.6296 0.7278 0.6296 0.7935
No log 6.0317 380 0.5869 0.7251 0.5869 0.7661
No log 6.0635 382 0.5502 0.7400 0.5502 0.7417
No log 6.0952 384 0.5410 0.7518 0.5410 0.7355
No log 6.1270 386 0.5564 0.7418 0.5564 0.7459
No log 6.1587 388 0.5923 0.7398 0.5923 0.7696
No log 6.1905 390 0.6576 0.7171 0.6576 0.8109
No log 6.2222 392 0.6653 0.7132 0.6653 0.8157
No log 6.2540 394 0.6299 0.7400 0.6299 0.7937
No log 6.2857 396 0.6414 0.7337 0.6414 0.8008
No log 6.3175 398 0.6472 0.7317 0.6472 0.8045
No log 6.3492 400 0.6528 0.7311 0.6528 0.8079
No log 6.3810 402 0.6138 0.7202 0.6138 0.7835
No log 6.4127 404 0.6155 0.7238 0.6155 0.7845
No log 6.4444 406 0.6322 0.7222 0.6322 0.7951
No log 6.4762 408 0.6723 0.7016 0.6723 0.8199
No log 6.5079 410 0.7127 0.6876 0.7127 0.8442
No log 6.5397 412 0.7275 0.6788 0.7275 0.8529
No log 6.5714 414 0.6883 0.6977 0.6883 0.8296
No log 6.6032 416 0.6892 0.6878 0.6892 0.8302
No log 6.6349 418 0.7284 0.7076 0.7284 0.8535
No log 6.6667 420 0.7910 0.6959 0.7910 0.8894
No log 6.6984 422 0.8368 0.6691 0.8368 0.9148
No log 6.7302 424 0.8314 0.6676 0.8314 0.9118
No log 6.7619 426 0.8533 0.6636 0.8533 0.9238
No log 6.7937 428 0.8113 0.6667 0.8113 0.9007
No log 6.8254 430 0.7232 0.7151 0.7232 0.8504
No log 6.8571 432 0.6478 0.7263 0.6478 0.8049
No log 6.8889 434 0.6284 0.7540 0.6284 0.7927
No log 6.9206 436 0.6116 0.7514 0.6116 0.7820
No log 6.9524 438 0.6252 0.7506 0.6252 0.7907
No log 6.9841 440 0.6366 0.7415 0.6366 0.7979
No log 7.0159 442 0.6750 0.7276 0.6750 0.8216
No log 7.0476 444 0.6765 0.7249 0.6765 0.8225
No log 7.0794 446 0.6570 0.7433 0.6570 0.8106
No log 7.1111 448 0.6319 0.7637 0.6319 0.7949
No log 7.1429 450 0.6260 0.7580 0.6260 0.7912
No log 7.1746 452 0.6086 0.7548 0.6086 0.7801
No log 7.2063 454 0.5784 0.7445 0.5784 0.7605
No log 7.2381 456 0.5541 0.7457 0.5541 0.7444
No log 7.2698 458 0.5478 0.7457 0.5478 0.7401
No log 7.3016 460 0.5586 0.7457 0.5586 0.7474
No log 7.3333 462 0.5857 0.7562 0.5857 0.7653
No log 7.3651 464 0.6143 0.7385 0.6143 0.7838
No log 7.3968 466 0.6433 0.7332 0.6433 0.8021
No log 7.4286 468 0.6543 0.7241 0.6543 0.8089
No log 7.4603 470 0.6606 0.7206 0.6606 0.8128
No log 7.4921 472 0.6925 0.7222 0.6925 0.8322
No log 7.5238 474 0.7469 0.7286 0.7469 0.8642
No log 7.5556 476 0.8097 0.6999 0.8097 0.8998
No log 7.5873 478 0.8737 0.6902 0.8737 0.9347
No log 7.6190 480 0.8708 0.6902 0.8708 0.9332
No log 7.6508 482 0.8122 0.6993 0.8122 0.9012
No log 7.6825 484 0.7435 0.7168 0.7435 0.8623
No log 7.7143 486 0.7010 0.7114 0.7010 0.8372
No log 7.7460 488 0.6766 0.7086 0.6766 0.8225
No log 7.7778 490 0.6640 0.7039 0.6640 0.8148
No log 7.8095 492 0.6622 0.7193 0.6622 0.8138
No log 7.8413 494 0.6727 0.7071 0.6727 0.8202
No log 7.8730 496 0.7032 0.6952 0.7032 0.8386
No log 7.9048 498 0.7675 0.6846 0.7675 0.8761
0.4861 7.9365 500 0.8297 0.6524 0.8297 0.9109
0.4861 7.9683 502 0.8405 0.6580 0.8405 0.9168
0.4861 8.0 504 0.8282 0.6524 0.8282 0.9101
0.4861 8.0317 506 0.8006 0.6635 0.8006 0.8948
0.4861 8.0635 508 0.7426 0.6841 0.7426 0.8617
0.4861 8.0952 510 0.6995 0.6891 0.6995 0.8363
0.4861 8.1270 512 0.6560 0.7112 0.6560 0.8099
0.4861 8.1587 514 0.6401 0.7154 0.6401 0.8001
0.4861 8.1905 516 0.6441 0.7112 0.6441 0.8026
0.4861 8.2222 518 0.6676 0.7100 0.6676 0.8171
0.4861 8.2540 520 0.6920 0.7056 0.6920 0.8319
0.4861 8.2857 522 0.7272 0.7056 0.7272 0.8528
0.4861 8.3175 524 0.7602 0.7162 0.7602 0.8719
0.4861 8.3492 526 0.7705 0.7060 0.7705 0.8778
0.4861 8.3810 528 0.7846 0.7064 0.7846 0.8858
0.4861 8.4127 530 0.7719 0.6966 0.7719 0.8786
0.4861 8.4444 532 0.7466 0.7079 0.7466 0.8640
0.4861 8.4762 534 0.7074 0.7082 0.7074 0.8410
0.4861 8.5079 536 0.6635 0.7175 0.6635 0.8145
0.4861 8.5397 538 0.6244 0.7143 0.6244 0.7902
0.4861 8.5714 540 0.6000 0.7399 0.6000 0.7746
0.4861 8.6032 542 0.5910 0.7303 0.5910 0.7687
0.4861 8.6349 544 0.5828 0.7242 0.5828 0.7634
0.4861 8.6667 546 0.5780 0.7242 0.5780 0.7603
0.4861 8.6984 548 0.5788 0.7242 0.5788 0.7608
0.4861 8.7302 550 0.5907 0.7198 0.5907 0.7686
0.4861 8.7619 552 0.6140 0.7126 0.6140 0.7836
0.4861 8.7937 554 0.6445 0.7117 0.6445 0.8028
0.4861 8.8254 556 0.6835 0.7169 0.6835 0.8268
0.4861 8.8571 558 0.7064 0.7244 0.7064 0.8405
0.4861 8.8889 560 0.7257 0.7118 0.7257 0.8519
0.4861 8.9206 562 0.7408 0.7098 0.7408 0.8607
0.4861 8.9524 564 0.7561 0.7015 0.7561 0.8695
0.4861 8.9841 566 0.7491 0.7142 0.7491 0.8655
0.4861 9.0159 568 0.7435 0.7189 0.7435 0.8622
0.4861 9.0476 570 0.7416 0.7189 0.7416 0.8612
0.4861 9.0794 572 0.7310 0.7119 0.7310 0.8550
0.4861 9.1111 574 0.7116 0.7119 0.7116 0.8435
0.4861 9.1429 576 0.6961 0.7168 0.6961 0.8343
0.4861 9.1746 578 0.6886 0.7168 0.6886 0.8298
0.4861 9.2063 580 0.6821 0.7187 0.6821 0.8259
0.4861 9.2381 582 0.6857 0.7201 0.6857 0.8281
0.4861 9.2698 584 0.6955 0.7119 0.6955 0.8340
0.4861 9.3016 586 0.7038 0.7119 0.7038 0.8389
0.4861 9.3333 588 0.7072 0.7154 0.7072 0.8409
0.4861 9.3651 590 0.7101 0.7154 0.7101 0.8427
0.4861 9.3968 592 0.7190 0.7154 0.7190 0.8479
0.4861 9.4286 594 0.7234 0.7170 0.7234 0.8505
0.4861 9.4603 596 0.7205 0.7189 0.7205 0.8488
0.4861 9.4921 598 0.7091 0.7189 0.7091 0.8421
0.4861 9.5238 600 0.6967 0.7110 0.6967 0.8347
0.4861 9.5556 602 0.6835 0.7113 0.6835 0.8267
0.4861 9.5873 604 0.6701 0.7113 0.6701 0.8186
0.4861 9.6190 606 0.6564 0.7155 0.6564 0.8102
0.4861 9.6508 608 0.6435 0.7175 0.6435 0.8022
0.4861 9.6825 610 0.6367 0.7136 0.6367 0.7979
0.4861 9.7143 612 0.6309 0.7097 0.6309 0.7943
0.4861 9.7460 614 0.6279 0.7036 0.6279 0.7924
0.4861 9.7778 616 0.6289 0.7097 0.6289 0.7930
0.4861 9.8095 618 0.6299 0.7179 0.6299 0.7936
0.4861 9.8413 620 0.6320 0.7179 0.6320 0.7950
0.4861 9.8730 622 0.6351 0.7136 0.6351 0.7969
0.4861 9.9048 624 0.6382 0.7136 0.6382 0.7989
0.4861 9.9365 626 0.6409 0.7175 0.6409 0.8006
0.4861 9.9683 628 0.6421 0.7175 0.6421 0.8013
0.4861 10.0 630 0.6426 0.7175 0.6426 0.8016

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
2
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/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k10_task1_organization

Finetuned
(4041)
this model