ArabicNewSplits6_FineTuningAraBERT_run3_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: 0.6358
  • Qwk: 0.7016
  • Mse: 0.6358
  • Rmse: 0.7974

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 5.1392 -0.0067 5.1392 2.2670
No log 0.0727 4 3.4861 0.0539 3.4861 1.8671
No log 0.1091 6 2.1516 0.0937 2.1516 1.4668
No log 0.1455 8 2.2365 -0.0662 2.2365 1.4955
No log 0.1818 10 2.0478 -0.0223 2.0478 1.4310
No log 0.2182 12 1.4138 0.0318 1.4138 1.1891
No log 0.2545 14 1.2144 0.2511 1.2144 1.1020
No log 0.2909 16 1.1762 0.2689 1.1762 1.0845
No log 0.3273 18 1.2036 0.1799 1.2036 1.0971
No log 0.3636 20 1.1861 0.2466 1.1861 1.0891
No log 0.4 22 1.3224 0.2065 1.3224 1.1499
No log 0.4364 24 1.3460 0.2161 1.3460 1.1602
No log 0.4727 26 1.2813 0.2014 1.2813 1.1319
No log 0.5091 28 1.1467 0.1771 1.1467 1.0708
No log 0.5455 30 1.1080 0.2063 1.1080 1.0526
No log 0.5818 32 1.0879 0.2260 1.0879 1.0430
No log 0.6182 34 1.1438 0.1571 1.1438 1.0695
No log 0.6545 36 1.3036 0.1705 1.3036 1.1417
No log 0.6909 38 1.5827 0.1227 1.5827 1.2581
No log 0.7273 40 1.7646 0.1293 1.7646 1.3284
No log 0.7636 42 1.9130 0.1616 1.9130 1.3831
No log 0.8 44 1.9479 0.2186 1.9479 1.3957
No log 0.8364 46 1.7110 0.1964 1.7110 1.3080
No log 0.8727 48 1.4645 0.2325 1.4645 1.2102
No log 0.9091 50 1.2004 0.2781 1.2004 1.0956
No log 0.9455 52 1.0890 0.2849 1.0890 1.0436
No log 0.9818 54 1.0120 0.3425 1.0120 1.0060
No log 1.0182 56 1.0072 0.3518 1.0072 1.0036
No log 1.0545 58 1.0032 0.4015 1.0032 1.0016
No log 1.0909 60 1.0386 0.3354 1.0386 1.0191
No log 1.1273 62 1.1162 0.3064 1.1162 1.0565
No log 1.1636 64 1.2025 0.2792 1.2025 1.0966
No log 1.2 66 1.2507 0.3379 1.2507 1.1183
No log 1.2364 68 1.2100 0.3571 1.2100 1.1000
No log 1.2727 70 1.1521 0.4092 1.1521 1.0734
No log 1.3091 72 1.1114 0.3684 1.1114 1.0542
No log 1.3455 74 1.0936 0.3982 1.0936 1.0458
No log 1.3818 76 1.2286 0.4001 1.2286 1.1084
No log 1.4182 78 1.4361 0.4025 1.4361 1.1984
No log 1.4545 80 1.7897 0.2411 1.7897 1.3378
No log 1.4909 82 2.0414 0.1682 2.0414 1.4288
No log 1.5273 84 2.0917 0.1833 2.0917 1.4463
No log 1.5636 86 2.0443 0.2135 2.0443 1.4298
No log 1.6 88 1.8870 0.2639 1.8870 1.3737
No log 1.6364 90 1.5579 0.3141 1.5579 1.2481
No log 1.6727 92 1.1669 0.4397 1.1669 1.0802
No log 1.7091 94 1.0439 0.4704 1.0439 1.0217
No log 1.7455 96 1.1243 0.4672 1.1243 1.0603
No log 1.7818 98 1.1936 0.4083 1.1936 1.0925
No log 1.8182 100 1.0772 0.4058 1.0772 1.0379
No log 1.8545 102 0.8974 0.4922 0.8974 0.9473
No log 1.8909 104 0.8681 0.5349 0.8681 0.9317
No log 1.9273 106 0.8717 0.5560 0.8717 0.9336
No log 1.9636 108 0.8880 0.5434 0.8880 0.9423
No log 2.0 110 0.8265 0.5273 0.8265 0.9091
No log 2.0364 112 0.8233 0.5802 0.8233 0.9074
No log 2.0727 114 0.8012 0.5766 0.8012 0.8951
No log 2.1091 116 0.8591 0.5664 0.8591 0.9269
No log 2.1455 118 1.1389 0.4973 1.1389 1.0672
No log 2.1818 120 1.2675 0.4331 1.2675 1.1258
No log 2.2182 122 1.1908 0.4802 1.1908 1.0913
No log 2.2545 124 1.1161 0.5112 1.1161 1.0565
No log 2.2909 126 1.1475 0.5239 1.1475 1.0712
No log 2.3273 128 1.0981 0.5455 1.0981 1.0479
No log 2.3636 130 0.9695 0.5855 0.9695 0.9846
No log 2.4 132 0.8730 0.5941 0.8730 0.9343
No log 2.4364 134 0.8526 0.5826 0.8526 0.9234
No log 2.4727 136 0.7723 0.6704 0.7723 0.8788
No log 2.5091 138 0.7019 0.6529 0.7019 0.8378
No log 2.5455 140 0.7077 0.6578 0.7077 0.8412
No log 2.5818 142 0.6575 0.6548 0.6575 0.8109
No log 2.6182 144 0.6201 0.7080 0.6201 0.7875
No log 2.6545 146 0.7045 0.6563 0.7045 0.8393
No log 2.6909 148 0.8353 0.5756 0.8353 0.9139
No log 2.7273 150 0.8747 0.5111 0.8747 0.9353
No log 2.7636 152 0.8137 0.5793 0.8137 0.9020
No log 2.8 154 0.7810 0.5956 0.7810 0.8837
No log 2.8364 156 0.8989 0.6201 0.8989 0.9481
No log 2.8727 158 0.9723 0.5758 0.9723 0.9860
No log 2.9091 160 0.9111 0.5958 0.9111 0.9545
No log 2.9455 162 0.8016 0.6393 0.8016 0.8953
No log 2.9818 164 0.7534 0.5985 0.7534 0.8680
No log 3.0182 166 0.7993 0.5927 0.7993 0.8940
No log 3.0545 168 0.8583 0.5998 0.8583 0.9264
No log 3.0909 170 0.9483 0.5841 0.9483 0.9738
No log 3.1273 172 1.0122 0.5511 1.0122 1.0061
No log 3.1636 174 0.9472 0.5741 0.9472 0.9732
No log 3.2 176 0.8349 0.6265 0.8349 0.9137
No log 3.2364 178 0.7823 0.6659 0.7823 0.8845
No log 3.2727 180 0.7095 0.6970 0.7095 0.8423
No log 3.3091 182 0.6797 0.6636 0.6797 0.8245
No log 3.3455 184 0.7306 0.6413 0.7306 0.8547
No log 3.3818 186 0.8273 0.5965 0.8273 0.9095
No log 3.4182 188 0.8342 0.5667 0.8342 0.9134
No log 3.4545 190 0.7733 0.6248 0.7733 0.8794
No log 3.4909 192 0.6994 0.6570 0.6994 0.8363
No log 3.5273 194 0.6641 0.7183 0.6641 0.8149
No log 3.5636 196 0.6593 0.7230 0.6593 0.8120
No log 3.6 198 0.6620 0.6776 0.6620 0.8137
No log 3.6364 200 0.6662 0.6828 0.6662 0.8162
No log 3.6727 202 0.7025 0.6482 0.7025 0.8382
No log 3.7091 204 0.7517 0.6212 0.7517 0.8670
No log 3.7455 206 0.7987 0.5935 0.7987 0.8937
No log 3.7818 208 0.7801 0.5945 0.7801 0.8832
No log 3.8182 210 0.7443 0.6410 0.7443 0.8627
No log 3.8545 212 0.7136 0.6745 0.7136 0.8448
No log 3.8909 214 0.7188 0.6800 0.7188 0.8478
No log 3.9273 216 0.7123 0.6713 0.7123 0.8440
No log 3.9636 218 0.7022 0.6828 0.7022 0.8380
No log 4.0 220 0.7151 0.6715 0.7151 0.8456
No log 4.0364 222 0.7282 0.6668 0.7282 0.8533
No log 4.0727 224 0.7521 0.6657 0.7521 0.8672
No log 4.1091 226 0.7572 0.6392 0.7572 0.8702
No log 4.1455 228 0.7498 0.6392 0.7498 0.8659
No log 4.1818 230 0.7485 0.6646 0.7485 0.8652
No log 4.2182 232 0.7732 0.6487 0.7732 0.8793
No log 4.2545 234 0.7808 0.6590 0.7808 0.8836
No log 4.2909 236 0.7551 0.6662 0.7551 0.8690
No log 4.3273 238 0.7099 0.6910 0.7099 0.8426
No log 4.3636 240 0.6710 0.7227 0.6710 0.8192
No log 4.4 242 0.6524 0.7033 0.6524 0.8077
No log 4.4364 244 0.6800 0.6854 0.6800 0.8246
No log 4.4727 246 0.6938 0.6740 0.6938 0.8329
No log 4.5091 248 0.6846 0.6766 0.6846 0.8274
No log 4.5455 250 0.6868 0.6552 0.6868 0.8287
No log 4.5818 252 0.6941 0.6592 0.6941 0.8331
No log 4.6182 254 0.6977 0.6725 0.6977 0.8353
No log 4.6545 256 0.6944 0.6619 0.6944 0.8333
No log 4.6909 258 0.6896 0.6926 0.6896 0.8304
No log 4.7273 260 0.6879 0.6890 0.6879 0.8294
No log 4.7636 262 0.6873 0.6926 0.6873 0.8290
No log 4.8 264 0.7048 0.6609 0.7048 0.8396
No log 4.8364 266 0.7159 0.6535 0.7159 0.8461
No log 4.8727 268 0.7171 0.6677 0.7171 0.8468
No log 4.9091 270 0.7476 0.6094 0.7476 0.8646
No log 4.9455 272 0.7532 0.6084 0.7532 0.8678
No log 4.9818 274 0.7459 0.6176 0.7459 0.8637
No log 5.0182 276 0.7509 0.6123 0.7509 0.8666
No log 5.0545 278 0.7527 0.6304 0.7527 0.8676
No log 5.0909 280 0.7336 0.6225 0.7336 0.8565
No log 5.1273 282 0.7108 0.6582 0.7108 0.8431
No log 5.1636 284 0.7085 0.6595 0.7085 0.8417
No log 5.2 286 0.7004 0.6739 0.7004 0.8369
No log 5.2364 288 0.6899 0.6918 0.6899 0.8306
No log 5.2727 290 0.6800 0.6884 0.6800 0.8246
No log 5.3091 292 0.6792 0.6871 0.6792 0.8242
No log 5.3455 294 0.6826 0.6856 0.6826 0.8262
No log 5.3818 296 0.6826 0.6762 0.6826 0.8262
No log 5.4182 298 0.6832 0.6736 0.6832 0.8266
No log 5.4545 300 0.6744 0.6624 0.6744 0.8212
No log 5.4909 302 0.6752 0.6696 0.6752 0.8217
No log 5.5273 304 0.6629 0.6746 0.6629 0.8142
No log 5.5636 306 0.6557 0.6859 0.6557 0.8098
No log 5.6 308 0.6551 0.6822 0.6551 0.8094
No log 5.6364 310 0.6628 0.6813 0.6628 0.8141
No log 5.6727 312 0.6629 0.6813 0.6629 0.8142
No log 5.7091 314 0.6534 0.6864 0.6534 0.8083
No log 5.7455 316 0.6553 0.6864 0.6553 0.8095
No log 5.7818 318 0.6585 0.6758 0.6585 0.8115
No log 5.8182 320 0.6518 0.6809 0.6518 0.8073
No log 5.8545 322 0.6446 0.6859 0.6446 0.8028
No log 5.8909 324 0.6395 0.7234 0.6395 0.7997
No log 5.9273 326 0.6493 0.6851 0.6493 0.8058
No log 5.9636 328 0.6797 0.6451 0.6797 0.8245
No log 6.0 330 0.7164 0.6261 0.7164 0.8464
No log 6.0364 332 0.7697 0.5866 0.7697 0.8773
No log 6.0727 334 0.7833 0.5972 0.7833 0.8850
No log 6.1091 336 0.7436 0.6082 0.7436 0.8623
No log 6.1455 338 0.6944 0.6876 0.6944 0.8333
No log 6.1818 340 0.6668 0.6925 0.6668 0.8166
No log 6.2182 342 0.6672 0.7080 0.6672 0.8168
No log 6.2545 344 0.6672 0.7066 0.6672 0.8168
No log 6.2909 346 0.6759 0.7146 0.6759 0.8221
No log 6.3273 348 0.6677 0.7115 0.6677 0.8171
No log 6.3636 350 0.6714 0.6769 0.6714 0.8194
No log 6.4 352 0.7252 0.6641 0.7252 0.8516
No log 6.4364 354 0.7570 0.6274 0.7570 0.8701
No log 6.4727 356 0.7352 0.6274 0.7352 0.8574
No log 6.5091 358 0.6772 0.6803 0.6772 0.8229
No log 6.5455 360 0.6518 0.6829 0.6518 0.8073
No log 6.5818 362 0.6491 0.6794 0.6491 0.8057
No log 6.6182 364 0.6714 0.6907 0.6714 0.8194
No log 6.6545 366 0.6865 0.6803 0.6865 0.8286
No log 6.6909 368 0.6789 0.6913 0.6789 0.8240
No log 6.7273 370 0.6737 0.6913 0.6737 0.8208
No log 6.7636 372 0.6620 0.6947 0.6620 0.8136
No log 6.8 374 0.6581 0.6750 0.6581 0.8112
No log 6.8364 376 0.6571 0.6854 0.6571 0.8106
No log 6.8727 378 0.6705 0.6729 0.6705 0.8188
No log 6.9091 380 0.6698 0.6755 0.6698 0.8184
No log 6.9455 382 0.6831 0.6642 0.6831 0.8265
No log 6.9818 384 0.6978 0.6740 0.6978 0.8354
No log 7.0182 386 0.7013 0.6671 0.7013 0.8374
No log 7.0545 388 0.6902 0.6983 0.6902 0.8308
No log 7.0909 390 0.6678 0.6994 0.6678 0.8172
No log 7.1273 392 0.6593 0.7050 0.6593 0.8120
No log 7.1636 394 0.6557 0.6904 0.6557 0.8098
No log 7.2 396 0.6497 0.6974 0.6497 0.8060
No log 7.2364 398 0.6452 0.6765 0.6452 0.8032
No log 7.2727 400 0.6387 0.6880 0.6387 0.7992
No log 7.3091 402 0.6318 0.6880 0.6318 0.7949
No log 7.3455 404 0.6272 0.6880 0.6272 0.7919
No log 7.3818 406 0.6227 0.6838 0.6227 0.7891
No log 7.4182 408 0.6221 0.6917 0.6221 0.7888
No log 7.4545 410 0.6295 0.6880 0.6295 0.7934
No log 7.4909 412 0.6613 0.6878 0.6613 0.8132
No log 7.5273 414 0.7112 0.6206 0.7112 0.8433
No log 7.5636 416 0.7574 0.6325 0.7574 0.8703
No log 7.6 418 0.7658 0.6325 0.7658 0.8751
No log 7.6364 420 0.7346 0.6033 0.7346 0.8571
No log 7.6727 422 0.6844 0.6759 0.6844 0.8273
No log 7.7091 424 0.6469 0.6910 0.6469 0.8043
No log 7.7455 426 0.6333 0.7081 0.6333 0.7958
No log 7.7818 428 0.6302 0.7026 0.6302 0.7939
No log 7.8182 430 0.6266 0.7081 0.6266 0.7916
No log 7.8545 432 0.6258 0.7033 0.6258 0.7911
No log 7.8909 434 0.6357 0.6715 0.6357 0.7973
No log 7.9273 436 0.6661 0.6724 0.6661 0.8161
No log 7.9636 438 0.6979 0.6571 0.6979 0.8354
No log 8.0 440 0.7099 0.6525 0.7099 0.8426
No log 8.0364 442 0.7136 0.6432 0.7136 0.8448
No log 8.0727 444 0.6981 0.6644 0.6981 0.8355
No log 8.1091 446 0.6830 0.6828 0.6830 0.8264
No log 8.1455 448 0.6646 0.6795 0.6646 0.8152
No log 8.1818 450 0.6579 0.6719 0.6579 0.8111
No log 8.2182 452 0.6461 0.6719 0.6461 0.8038
No log 8.2545 454 0.6323 0.6666 0.6323 0.7952
No log 8.2909 456 0.6334 0.6666 0.6334 0.7959
No log 8.3273 458 0.6418 0.6610 0.6418 0.8011
No log 8.3636 460 0.6552 0.6742 0.6552 0.8095
No log 8.4 462 0.6809 0.7031 0.6809 0.8251
No log 8.4364 464 0.7106 0.6571 0.7106 0.8430
No log 8.4727 466 0.7268 0.6340 0.7268 0.8526
No log 8.5091 468 0.7257 0.6195 0.7257 0.8519
No log 8.5455 470 0.7037 0.6845 0.7037 0.8389
No log 8.5818 472 0.6774 0.6836 0.6774 0.8231
No log 8.6182 474 0.6497 0.6809 0.6497 0.8061
No log 8.6545 476 0.6275 0.7014 0.6275 0.7922
No log 8.6909 478 0.6149 0.7096 0.6149 0.7841
No log 8.7273 480 0.6122 0.7066 0.6122 0.7825
No log 8.7636 482 0.6137 0.7099 0.6137 0.7834
No log 8.8 484 0.6157 0.7099 0.6157 0.7847
No log 8.8364 486 0.6177 0.7099 0.6177 0.7859
No log 8.8727 488 0.6215 0.7113 0.6215 0.7883
No log 8.9091 490 0.6277 0.7007 0.6277 0.7923
No log 8.9455 492 0.6388 0.6944 0.6388 0.7993
No log 8.9818 494 0.6563 0.6914 0.6563 0.8101
No log 9.0182 496 0.6764 0.7166 0.6764 0.8225
No log 9.0545 498 0.6935 0.7120 0.6935 0.8327
0.4567 9.0909 500 0.6994 0.7075 0.6994 0.8363
0.4567 9.1273 502 0.6962 0.7075 0.6962 0.8344
0.4567 9.1636 504 0.6875 0.7120 0.6875 0.8291
0.4567 9.2 506 0.6791 0.6992 0.6791 0.8241
0.4567 9.2364 508 0.6650 0.6682 0.6650 0.8155
0.4567 9.2727 510 0.6513 0.6859 0.6513 0.8070
0.4567 9.3091 512 0.6429 0.7090 0.6429 0.8018
0.4567 9.3455 514 0.6389 0.7001 0.6389 0.7993
0.4567 9.3818 516 0.6361 0.7078 0.6361 0.7976
0.4567 9.4182 518 0.6353 0.6972 0.6353 0.7971
0.4567 9.4545 520 0.6359 0.6972 0.6359 0.7974
0.4567 9.4909 522 0.6374 0.6972 0.6374 0.7984
0.4567 9.5273 524 0.6397 0.6972 0.6397 0.7998
0.4567 9.5636 526 0.6393 0.6972 0.6393 0.7996
0.4567 9.6 528 0.6396 0.6895 0.6396 0.7997
0.4567 9.6364 530 0.6375 0.6972 0.6375 0.7985
0.4567 9.6727 532 0.6360 0.6895 0.6360 0.7975
0.4567 9.7091 534 0.6355 0.6895 0.6355 0.7972
0.4567 9.7455 536 0.6351 0.6895 0.6351 0.7970
0.4567 9.7818 538 0.6352 0.6909 0.6352 0.7970
0.4567 9.8182 540 0.6355 0.6909 0.6355 0.7972
0.4567 9.8545 542 0.6351 0.7016 0.6351 0.7969
0.4567 9.8909 544 0.6349 0.7016 0.6349 0.7968
0.4567 9.9273 546 0.6351 0.7016 0.6351 0.7969
0.4567 9.9636 548 0.6356 0.7016 0.6356 0.7972
0.4567 10.0 550 0.6358 0.7016 0.6358 0.7974

Framework versions

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