ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k18_task5_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: 1.2288
  • Qwk: 0.0
  • Mse: 1.2288
  • Rmse: 1.1085

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 0.0465 2 4.0158 0.0034 4.0158 2.0039
No log 0.0930 4 2.2748 0.0271 2.2748 1.5083
No log 0.1395 6 1.6688 0.0329 1.6688 1.2918
No log 0.1860 8 1.2346 0.0967 1.2346 1.1111
No log 0.2326 10 1.1925 0.0731 1.1925 1.0920
No log 0.2791 12 1.1109 0.2150 1.1109 1.0540
No log 0.3256 14 1.0932 0.1884 1.0932 1.0456
No log 0.3721 16 1.2148 0.0380 1.2148 1.1022
No log 0.4186 18 1.2750 0.0 1.2750 1.1292
No log 0.4651 20 1.1496 0.0760 1.1496 1.0722
No log 0.5116 22 1.1357 0.1379 1.1357 1.0657
No log 0.5581 24 1.1803 0.1333 1.1803 1.0864
No log 0.6047 26 1.1167 0.1981 1.1167 1.0568
No log 0.6512 28 1.1559 0.0445 1.1559 1.0751
No log 0.6977 30 1.2187 0.0445 1.2187 1.1039
No log 0.7442 32 1.2232 0.0445 1.2232 1.1060
No log 0.7907 34 1.1709 0.1643 1.1709 1.0821
No log 0.8372 36 1.1800 0.0792 1.1800 1.0863
No log 0.8837 38 1.3732 -0.0296 1.3732 1.1719
No log 0.9302 40 1.6117 0.0143 1.6117 1.2695
No log 0.9767 42 1.7119 0.0143 1.7119 1.3084
No log 1.0233 44 1.5533 0.0 1.5533 1.2463
No log 1.0698 46 1.4371 -0.0148 1.4371 1.1988
No log 1.1163 48 1.1990 0.0701 1.1990 1.0950
No log 1.1628 50 1.0921 0.2239 1.0921 1.0450
No log 1.2093 52 1.2033 0.0102 1.2033 1.0969
No log 1.2558 54 1.2896 -0.1560 1.2896 1.1356
No log 1.3023 56 1.4626 -0.0326 1.4626 1.2094
No log 1.3488 58 1.3772 -0.0022 1.3772 1.1735
No log 1.3953 60 1.2187 0.1361 1.2187 1.1040
No log 1.4419 62 1.2426 0.0374 1.2426 1.1147
No log 1.4884 64 1.2838 0.0999 1.2838 1.1330
No log 1.5349 66 1.2161 0.0700 1.2161 1.1028
No log 1.5814 68 1.1278 0.2692 1.1278 1.0620
No log 1.6279 70 1.1283 0.1725 1.1283 1.0622
No log 1.6744 72 1.0934 0.2366 1.0934 1.0456
No log 1.7209 74 1.0742 0.1783 1.0742 1.0364
No log 1.7674 76 1.1562 0.1389 1.1562 1.0752
No log 1.8140 78 1.4371 -0.0641 1.4371 1.1988
No log 1.8605 80 1.4812 -0.0641 1.4812 1.2171
No log 1.9070 82 1.4368 -0.0641 1.4368 1.1987
No log 1.9535 84 1.2691 -0.0091 1.2691 1.1266
No log 2.0 86 1.2183 0.0542 1.2183 1.1038
No log 2.0465 88 1.2777 0.0188 1.2777 1.1304
No log 2.0930 90 1.4962 -0.1067 1.4962 1.2232
No log 2.1395 92 1.5524 -0.0747 1.5524 1.2460
No log 2.1860 94 1.3420 0.0587 1.3420 1.1585
No log 2.2326 96 1.1766 0.0164 1.1766 1.0847
No log 2.2791 98 1.1748 0.0164 1.1748 1.0839
No log 2.3256 100 1.3960 0.0464 1.3960 1.1815
No log 2.3721 102 1.7947 -0.1843 1.7947 1.3397
No log 2.4186 104 1.9849 -0.3093 1.9849 1.4089
No log 2.4651 106 1.9655 -0.1443 1.9655 1.4020
No log 2.5116 108 1.7718 -0.0788 1.7718 1.3311
No log 2.5581 110 1.5684 -0.0167 1.5684 1.2524
No log 2.6047 112 1.6681 -0.0688 1.6681 1.2916
No log 2.6512 114 1.8768 -0.1179 1.8768 1.3700
No log 2.6977 116 2.0265 -0.1122 2.0265 1.4236
No log 2.7442 118 2.0327 -0.1111 2.0327 1.4257
No log 2.7907 120 2.0567 -0.1154 2.0567 1.4341
No log 2.8372 122 1.8254 -0.0655 1.8254 1.3511
No log 2.8837 124 1.5249 -0.0735 1.5249 1.2349
No log 2.9302 126 1.7057 -0.1078 1.7057 1.3060
No log 2.9767 128 2.0800 -0.2156 2.0800 1.4422
No log 3.0233 130 2.3606 -0.2661 2.3606 1.5364
No log 3.0698 132 2.2816 -0.1571 2.2816 1.5105
No log 3.1163 134 2.0213 -0.1658 2.0213 1.4217
No log 3.1628 136 1.9379 -0.1254 1.9379 1.3921
No log 3.2093 138 1.8792 -0.0892 1.8792 1.3708
No log 3.2558 140 1.8788 -0.0849 1.8788 1.3707
No log 3.3023 142 1.7651 -0.0762 1.7651 1.3286
No log 3.3488 144 1.5874 0.0294 1.5874 1.2599
No log 3.3953 146 1.5857 0.0294 1.5857 1.2593
No log 3.4419 148 1.6411 0.0279 1.6411 1.2810
No log 3.4884 150 1.7297 -0.0267 1.7297 1.3152
No log 3.5349 152 1.7574 -0.0757 1.7574 1.3257
No log 3.5814 154 1.7628 -0.0397 1.7628 1.3277
No log 3.6279 156 1.7589 -0.0508 1.7589 1.3262
No log 3.6744 158 1.7224 -0.0378 1.7224 1.3124
No log 3.7209 160 1.7568 -0.0514 1.7568 1.3254
No log 3.7674 162 1.8652 0.0726 1.8652 1.3657
No log 3.8140 164 1.9175 0.0402 1.9175 1.3847
No log 3.8605 166 1.8288 0.0400 1.8288 1.3523
No log 3.9070 168 1.8386 0.0562 1.8386 1.3559
No log 3.9535 170 1.8316 0.1342 1.8316 1.3534
No log 4.0 172 1.6490 0.2105 1.6490 1.2842
No log 4.0465 174 1.5040 0.1282 1.5040 1.2264
No log 4.0930 176 1.4472 0.1198 1.4472 1.2030
No log 4.1395 178 1.4452 0.0270 1.4452 1.2022
No log 4.1860 180 1.5266 0.0809 1.5266 1.2356
No log 4.2326 182 1.7969 0.1525 1.7969 1.3405
No log 4.2791 184 1.8888 0.2098 1.8888 1.3744
No log 4.3256 186 1.7524 0.1663 1.7524 1.3238
No log 4.3721 188 1.5118 0.2342 1.5118 1.2296
No log 4.4186 190 1.4063 0.0946 1.4063 1.1859
No log 4.4651 192 1.4720 0.1911 1.4720 1.2133
No log 4.5116 194 1.4943 0.1423 1.4943 1.2224
No log 4.5581 196 1.4577 0.1423 1.4577 1.2073
No log 4.6047 198 1.3969 0.0602 1.3969 1.1819
No log 4.6512 200 1.3910 0.1110 1.3910 1.1794
No log 4.6977 202 1.4709 0.1110 1.4709 1.2128
No log 4.7442 204 1.5518 0.1423 1.5518 1.2457
No log 4.7907 206 1.5587 0.1027 1.5587 1.2485
No log 4.8372 208 1.5567 0.1027 1.5567 1.2477
No log 4.8837 210 1.5407 0.1423 1.5407 1.2413
No log 4.9302 212 1.4965 0.1904 1.4965 1.2233
No log 4.9767 214 1.3997 0.1943 1.3997 1.1831
No log 5.0233 216 1.3739 0.2126 1.3739 1.1721
No log 5.0698 218 1.4697 0.2292 1.4697 1.2123
No log 5.1163 220 1.4313 0.2015 1.4313 1.1964
No log 5.1628 222 1.4067 0.2203 1.4067 1.1860
No log 5.2093 224 1.4171 0.1886 1.4171 1.1904
No log 5.2558 226 1.5312 0.2117 1.5312 1.2374
No log 5.3023 228 1.7132 0.2058 1.7132 1.3089
No log 5.3488 230 1.7432 0.2206 1.7432 1.3203
No log 5.3953 232 1.7312 0.1963 1.7312 1.3158
No log 5.4419 234 1.7061 0.2389 1.7061 1.3062
No log 5.4884 236 1.5999 0.1461 1.5999 1.2649
No log 5.5349 238 1.5428 0.1911 1.5428 1.2421
No log 5.5814 240 1.3937 0.1142 1.3937 1.1806
No log 5.6279 242 1.3014 0.1052 1.3014 1.1408
No log 5.6744 244 1.2485 0.1052 1.2485 1.1174
No log 5.7209 246 1.2400 0.0401 1.2400 1.1136
No log 5.7674 248 1.2161 0.0401 1.2161 1.1028
No log 5.8140 250 1.1670 0.0556 1.1670 1.0803
No log 5.8605 252 1.1944 0.0155 1.1944 1.0929
No log 5.9070 254 1.3146 0.0781 1.3146 1.1466
No log 5.9535 256 1.5336 0.1880 1.5336 1.2384
No log 6.0 258 1.6128 0.2465 1.6128 1.2700
No log 6.0465 260 1.5854 0.2465 1.5854 1.2591
No log 6.0930 262 1.5079 0.1966 1.5079 1.2280
No log 6.1395 264 1.4465 0.1886 1.4465 1.2027
No log 6.1860 266 1.4232 0.2027 1.4232 1.1930
No log 6.2326 268 1.3952 0.2027 1.3952 1.1812
No log 6.2791 270 1.3799 0.2027 1.3799 1.1747
No log 6.3256 272 1.3777 0.2089 1.3777 1.1738
No log 6.3721 274 1.4345 0.2203 1.4345 1.1977
No log 6.4186 276 1.4906 0.2555 1.4906 1.2209
No log 6.4651 278 1.6231 0.2771 1.6231 1.2740
No log 6.5116 280 1.6548 0.2270 1.6548 1.2864
No log 6.5581 282 1.4900 0.1058 1.4900 1.2207
No log 6.6047 284 1.4021 0.0781 1.4021 1.1841
No log 6.6512 286 1.4033 0.0781 1.4033 1.1846
No log 6.6977 288 1.4786 0.2315 1.4786 1.2160
No log 6.7442 290 1.4991 0.2915 1.4991 1.2244
No log 6.7907 292 1.4009 0.2455 1.4009 1.1836
No log 6.8372 294 1.3681 0.2455 1.3681 1.1697
No log 6.8837 296 1.3522 0.2455 1.3522 1.1628
No log 6.9302 298 1.3574 0.2506 1.3574 1.1651
No log 6.9767 300 1.4005 0.2506 1.4005 1.1834
No log 7.0233 302 1.4022 0.2203 1.4022 1.1841
No log 7.0698 304 1.3696 0.1886 1.3696 1.1703
No log 7.1163 306 1.3437 0.1886 1.3437 1.1592
No log 7.1628 308 1.3611 0.1886 1.3611 1.1667
No log 7.2093 310 1.4336 0.2260 1.4336 1.1973
No log 7.2558 312 1.4199 0.1886 1.4199 1.1916
No log 7.3023 314 1.3951 0.1886 1.3951 1.1811
No log 7.3488 316 1.3180 0.1316 1.3180 1.1481
No log 7.3953 318 1.3180 0.1548 1.3180 1.1480
No log 7.4419 320 1.4264 0.1980 1.4264 1.1943
No log 7.4884 322 1.7047 0.2315 1.7047 1.3057
No log 7.5349 324 1.7725 0.2116 1.7725 1.3313
No log 7.5814 326 1.6272 0.2363 1.6272 1.2756
No log 7.6279 328 1.5210 0.2395 1.5210 1.2333
No log 7.6744 330 1.4116 0.2027 1.4116 1.1881
No log 7.7209 332 1.3019 0.1622 1.3019 1.1410
No log 7.7674 334 1.2722 0.1622 1.2722 1.1279
No log 7.8140 336 1.3118 0.1473 1.3118 1.1453
No log 7.8605 338 1.3846 0.1886 1.3846 1.1767
No log 7.9070 340 1.3764 0.1886 1.3764 1.1732
No log 7.9535 342 1.3974 0.1886 1.3974 1.1821
No log 8.0 344 1.4388 0.2506 1.4388 1.1995
No log 8.0465 346 1.4310 0.2126 1.4310 1.1962
No log 8.0930 348 1.4688 0.2424 1.4688 1.2119
No log 8.1395 350 1.4365 0.2424 1.4365 1.1986
No log 8.1860 352 1.3914 0.1814 1.3914 1.1796
No log 8.2326 354 1.3864 0.1814 1.3864 1.1775
No log 8.2791 356 1.3512 0.1552 1.3512 1.1624
No log 8.3256 358 1.3229 0.1473 1.3229 1.1502
No log 8.3721 360 1.3194 0.1552 1.3194 1.1486
No log 8.4186 362 1.3151 0.1552 1.3151 1.1468
No log 8.4651 364 1.4077 0.2640 1.4077 1.1865
No log 8.5116 366 1.5515 0.2223 1.5515 1.2456
No log 8.5581 368 1.6437 0.1978 1.6437 1.2821
No log 8.6047 370 1.7347 0.2414 1.7347 1.3171
No log 8.6512 372 1.8221 0.2224 1.8221 1.3499
No log 8.6977 374 1.6633 0.2481 1.6633 1.2897
No log 8.7442 376 1.4077 0.1898 1.4077 1.1865
No log 8.7907 378 1.3061 0.0931 1.3061 1.1428
No log 8.8372 380 1.2222 0.0160 1.2222 1.1055
No log 8.8837 382 1.2155 0.0160 1.2155 1.1025
No log 8.9302 384 1.2623 0.0445 1.2623 1.1235
No log 8.9767 386 1.3885 0.1552 1.3885 1.1783
No log 9.0233 388 1.4957 0.2795 1.4957 1.2230
No log 9.0698 390 1.3858 0.2640 1.3858 1.1772
No log 9.1163 392 1.2752 0.1961 1.2752 1.1293
No log 9.1628 394 1.2226 0.1961 1.2226 1.1057
No log 9.2093 396 1.1909 0.1697 1.1909 1.0913
No log 9.2558 398 1.1800 0.1552 1.1800 1.0863
No log 9.3023 400 1.1418 0.1202 1.1418 1.0686
No log 9.3488 402 1.1663 0.1552 1.1663 1.0800
No log 9.3953 404 1.1681 0.1552 1.1681 1.0808
No log 9.4419 406 1.2341 0.1552 1.2341 1.1109
No log 9.4884 408 1.3670 0.2647 1.3670 1.1692
No log 9.5349 410 1.4327 0.2465 1.4327 1.1970
No log 9.5814 412 1.4405 0.2465 1.4405 1.2002
No log 9.6279 414 1.4134 0.2602 1.4134 1.1889
No log 9.6744 416 1.3585 0.2506 1.3585 1.1656
No log 9.7209 418 1.3508 0.1886 1.3508 1.1623
No log 9.7674 420 1.3591 0.1952 1.3591 1.1658
No log 9.8140 422 1.3131 0.1952 1.3131 1.1459
No log 9.8605 424 1.3215 0.1886 1.3215 1.1496
No log 9.9070 426 1.4130 0.2506 1.4130 1.1887
No log 9.9535 428 1.3922 0.1310 1.3922 1.1799
No log 10.0 430 1.4431 0.1428 1.4431 1.2013
No log 10.0465 432 1.5592 0.2117 1.5592 1.2487
No log 10.0930 434 1.5122 0.2292 1.5122 1.2297
No log 10.1395 436 1.4766 0.2647 1.4766 1.2151
No log 10.1860 438 1.3397 0.2315 1.3397 1.1574
No log 10.2326 440 1.2819 0.1886 1.2819 1.1322
No log 10.2791 442 1.2954 0.1700 1.2954 1.1381
No log 10.3256 444 1.3657 0.2315 1.3657 1.1686
No log 10.3721 446 1.4421 0.2315 1.4421 1.2009
No log 10.4186 448 1.4492 0.2015 1.4492 1.2038
No log 10.4651 450 1.3858 0.1202 1.3858 1.1772
No log 10.5116 452 1.3957 0.0833 1.3957 1.1814
No log 10.5581 454 1.4324 0.0833 1.4324 1.1968
No log 10.6047 456 1.5332 0.1552 1.5332 1.2382
No log 10.6512 458 1.5961 0.1952 1.5961 1.2634
No log 10.6977 460 1.6255 0.1595 1.6255 1.2750
No log 10.7442 462 1.5482 0.1634 1.5482 1.2443
No log 10.7907 464 1.4990 0.1407 1.4990 1.2243
No log 10.8372 466 1.4643 0.1473 1.4643 1.2101
No log 10.8837 468 1.4725 0.1407 1.4725 1.2135
No log 10.9302 470 1.4109 0.0781 1.4109 1.1878
No log 10.9767 472 1.3841 0.1142 1.3841 1.1765
No log 11.0233 474 1.4789 0.2239 1.4789 1.2161
No log 11.0698 476 1.5078 0.2126 1.5078 1.2279
No log 11.1163 478 1.5220 0.1486 1.5220 1.2337
No log 11.1628 480 1.4774 0.1552 1.4774 1.2155
No log 11.2093 482 1.4310 0.1486 1.4310 1.1962
No log 11.2558 484 1.4349 0.2424 1.4349 1.1979
No log 11.3023 486 1.3930 0.2424 1.3930 1.1803
No log 11.3488 488 1.3830 0.2126 1.3830 1.1760
No log 11.3953 490 1.3882 0.1407 1.3882 1.1782
No log 11.4419 492 1.3933 0.1473 1.3933 1.1804
No log 11.4884 494 1.3616 0.1473 1.3616 1.1669
No log 11.5349 496 1.3209 0.1473 1.3209 1.1493
No log 11.5814 498 1.2735 0.0401 1.2735 1.1285
0.3529 11.6279 500 1.2606 0.0401 1.2606 1.1228
0.3529 11.6744 502 1.2457 0.0401 1.2457 1.1161
0.3529 11.7209 504 1.2800 0.0401 1.2800 1.1314
0.3529 11.7674 506 1.3705 0.1052 1.3705 1.1707
0.3529 11.8140 508 1.4245 0.1351 1.4245 1.1935
0.3529 11.8605 510 1.4236 0.1351 1.4236 1.1932
0.3529 11.9070 512 1.4686 0.1142 1.4686 1.2118
0.3529 11.9535 514 1.5206 0.2126 1.5206 1.2331
0.3529 12.0 516 1.4949 0.2126 1.4949 1.2226
0.3529 12.0465 518 1.4517 0.1562 1.4517 1.2048
0.3529 12.0930 520 1.4807 0.2126 1.4807 1.2169
0.3529 12.1395 522 1.5059 0.2239 1.5059 1.2272
0.3529 12.1860 524 1.6043 0.2391 1.6043 1.2666
0.3529 12.2326 526 1.5695 0.2391 1.5695 1.2528
0.3529 12.2791 528 1.4159 0.2424 1.4159 1.1899
0.3529 12.3256 530 1.3219 0.1486 1.3219 1.1497
0.3529 12.3721 532 1.3401 0.2065 1.3401 1.1576
0.3529 12.4186 534 1.3882 0.2424 1.3882 1.1782
0.3529 12.4651 536 1.3911 0.2126 1.3911 1.1795
0.3529 12.5116 538 1.3736 0.2506 1.3736 1.1720
0.3529 12.5581 540 1.3963 0.2424 1.3963 1.1816
0.3529 12.6047 542 1.4377 0.2709 1.4377 1.1990
0.3529 12.6512 544 1.3851 0.2126 1.3851 1.1769
0.3529 12.6977 546 1.3814 0.2126 1.3814 1.1753
0.3529 12.7442 548 1.4161 0.2424 1.4161 1.1900
0.3529 12.7907 550 1.4834 0.2690 1.4834 1.2180
0.3529 12.8372 552 1.5133 0.2731 1.5133 1.2302
0.3529 12.8837 554 1.4658 0.2690 1.4658 1.2107
0.3529 12.9302 556 1.3921 0.2315 1.3921 1.1799
0.3529 12.9767 558 1.3701 0.2506 1.3701 1.1705
0.3529 13.0233 560 1.4052 0.2795 1.4052 1.1854
0.3529 13.0698 562 1.4930 0.2602 1.4930 1.2219
0.3529 13.1163 564 1.5950 0.2731 1.5950 1.2629
0.3529 13.1628 566 1.6690 0.3232 1.6690 1.2919
0.3529 13.2093 568 1.6193 0.3172 1.6193 1.2725
0.3529 13.2558 570 1.5363 0.2752 1.5363 1.2395
0.3529 13.3023 572 1.4229 0.0833 1.4229 1.1928
0.3529 13.3488 574 1.3506 0.0833 1.3506 1.1622
0.3529 13.3953 576 1.3492 0.0833 1.3492 1.1616
0.3529 13.4419 578 1.3896 0.0833 1.3896 1.1788
0.3529 13.4884 580 1.4283 0.0781 1.4283 1.1951
0.3529 13.5349 582 1.4724 0.1142 1.4724 1.2134
0.3529 13.5814 584 1.4633 0.1142 1.4633 1.2097
0.3529 13.6279 586 1.4614 0.1142 1.4614 1.2089
0.3529 13.6744 588 1.4658 0.1486 1.4658 1.2107
0.3529 13.7209 590 1.4604 0.1228 1.4604 1.2085
0.3529 13.7674 592 1.3979 0.1228 1.3979 1.1823
0.3529 13.8140 594 1.3791 0.1228 1.3791 1.1744
0.3529 13.8605 596 1.4188 0.2126 1.4188 1.1911
0.3529 13.9070 598 1.4513 0.2709 1.4513 1.2047
0.3529 13.9535 600 1.4620 0.2709 1.4620 1.2092
0.3529 14.0 602 1.3948 0.2424 1.3948 1.1810
0.3529 14.0465 604 1.3774 0.2126 1.3774 1.1736
0.3529 14.0930 606 1.3843 0.2424 1.3843 1.1765
0.3529 14.1395 608 1.3777 0.1814 1.3777 1.1738
0.3529 14.1860 610 1.3095 0.0781 1.3095 1.1443
0.3529 14.2326 612 1.2472 0.0401 1.2472 1.1168
0.3529 14.2791 614 1.2122 0.0401 1.2122 1.1010
0.3529 14.3256 616 1.1979 0.0 1.1979 1.0945
0.3529 14.3721 618 1.2415 0.0401 1.2415 1.1142
0.3529 14.4186 620 1.2917 0.0781 1.2917 1.1365
0.3529 14.4651 622 1.3478 0.1310 1.3478 1.1609
0.3529 14.5116 624 1.4031 0.1634 1.4031 1.1845
0.3529 14.5581 626 1.4545 0.2522 1.4545 1.2060
0.3529 14.6047 628 1.4968 0.2522 1.4968 1.2234
0.3529 14.6512 630 1.5350 0.2522 1.5350 1.2389
0.3529 14.6977 632 1.5023 0.2239 1.5023 1.2257
0.3529 14.7442 634 1.3888 0.0401 1.3888 1.1785
0.3529 14.7907 636 1.2818 0.0 1.2818 1.1322
0.3529 14.8372 638 1.2042 0.0 1.2042 1.0974
0.3529 14.8837 640 1.1860 0.0 1.1860 1.0890
0.3529 14.9302 642 1.2288 0.0 1.2288 1.1085

Framework versions

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