ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k18_task2_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: 1.5899
  • Qwk: -0.0132
  • Mse: 1.5899
  • Rmse: 1.2609

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 0.0215 2 4.7667 0.0010 4.7667 2.1833
No log 0.0430 4 2.6952 -0.0135 2.6952 1.6417
No log 0.0645 6 1.9198 -0.0575 1.9198 1.3856
No log 0.0860 8 1.4856 -0.0722 1.4856 1.2188
No log 0.1075 10 1.4717 -0.0426 1.4717 1.2131
No log 0.1290 12 1.3609 0.0509 1.3609 1.1666
No log 0.1505 14 1.3364 -0.0228 1.3364 1.1560
No log 0.1720 16 1.2632 0.2016 1.2632 1.1239
No log 0.1935 18 1.2896 0.1493 1.2896 1.1356
No log 0.2151 20 1.4982 -0.0798 1.4982 1.2240
No log 0.2366 22 1.3869 0.0116 1.3869 1.1777
No log 0.2581 24 1.2881 0.0711 1.2881 1.1349
No log 0.2796 26 1.2881 0.0543 1.2881 1.1349
No log 0.3011 28 1.3005 0.0682 1.3005 1.1404
No log 0.3226 30 1.3243 0.0516 1.3243 1.1508
No log 0.3441 32 1.4012 -0.0825 1.4012 1.1837
No log 0.3656 34 1.4852 -0.0535 1.4852 1.2187
No log 0.3871 36 1.4837 -0.0772 1.4837 1.2181
No log 0.4086 38 1.3974 0.0229 1.3974 1.1821
No log 0.4301 40 1.3933 0.0586 1.3933 1.1804
No log 0.4516 42 1.3982 0.0613 1.3982 1.1825
No log 0.4731 44 1.4019 0.0395 1.4019 1.1840
No log 0.4946 46 1.4116 0.0891 1.4116 1.1881
No log 0.5161 48 1.4386 0.0693 1.4386 1.1994
No log 0.5376 50 1.4940 0.0500 1.4940 1.2223
No log 0.5591 52 1.5730 0.1371 1.5730 1.2542
No log 0.5806 54 1.6067 0.1280 1.6068 1.2676
No log 0.6022 56 1.5127 0.0223 1.5127 1.2299
No log 0.6237 58 1.5603 -0.0667 1.5603 1.2491
No log 0.6452 60 1.5406 -0.0654 1.5406 1.2412
No log 0.6667 62 1.5242 0.0821 1.5242 1.2346
No log 0.6882 64 1.5712 0.0303 1.5712 1.2535
No log 0.7097 66 1.5192 0.0598 1.5192 1.2325
No log 0.7312 68 1.4336 0.1475 1.4336 1.1973
No log 0.7527 70 1.3980 0.2073 1.3980 1.1824
No log 0.7742 72 1.4228 0.1141 1.4228 1.1928
No log 0.7957 74 1.4706 0.1807 1.4706 1.2127
No log 0.8172 76 1.4140 0.0994 1.4140 1.1891
No log 0.8387 78 1.3984 0.1503 1.3984 1.1825
No log 0.8602 80 1.3845 0.2000 1.3845 1.1767
No log 0.8817 82 1.3507 0.2579 1.3507 1.1622
No log 0.9032 84 1.3770 0.2227 1.3770 1.1735
No log 0.9247 86 1.4093 0.2188 1.4093 1.1871
No log 0.9462 88 1.4805 0.1795 1.4805 1.2168
No log 0.9677 90 1.5692 0.1326 1.5692 1.2527
No log 0.9892 92 1.6348 0.1935 1.6348 1.2786
No log 1.0108 94 1.5970 0.1863 1.5970 1.2637
No log 1.0323 96 1.8090 0.2268 1.8090 1.3450
No log 1.0538 98 1.9526 0.1408 1.9526 1.3974
No log 1.0753 100 1.8347 0.1513 1.8347 1.3545
No log 1.0968 102 1.7497 0.1236 1.7497 1.3228
No log 1.1183 104 1.6957 0.1514 1.6957 1.3022
No log 1.1398 106 1.5969 0.1886 1.5969 1.2637
No log 1.1613 108 1.5717 0.1886 1.5717 1.2537
No log 1.1828 110 1.6553 0.1280 1.6553 1.2866
No log 1.2043 112 1.7472 0.0470 1.7472 1.3218
No log 1.2258 114 1.7258 0.0813 1.7258 1.3137
No log 1.2473 116 1.4318 0.0467 1.4318 1.1966
No log 1.2688 118 1.3424 0.0367 1.3424 1.1586
No log 1.2903 120 1.4174 0.0317 1.4174 1.1905
No log 1.3118 122 1.5229 0.0126 1.5229 1.2341
No log 1.3333 124 1.5454 0.0807 1.5454 1.2432
No log 1.3548 126 1.5079 0.1132 1.5079 1.2280
No log 1.3763 128 1.4610 0.1942 1.4610 1.2087
No log 1.3978 130 1.5402 0.1484 1.5402 1.2411
No log 1.4194 132 1.6653 0.2107 1.6653 1.2905
No log 1.4409 134 1.6233 0.1749 1.6233 1.2741
No log 1.4624 136 1.5047 0.2394 1.5047 1.2267
No log 1.4839 138 1.5292 0.1903 1.5292 1.2366
No log 1.5054 140 1.6534 0.1688 1.6534 1.2859
No log 1.5269 142 1.6402 0.1688 1.6402 1.2807
No log 1.5484 144 1.5633 0.2004 1.5633 1.2503
No log 1.5699 146 1.4596 0.2917 1.4596 1.2082
No log 1.5914 148 1.5246 0.1734 1.5246 1.2347
No log 1.6129 150 1.6157 0.1923 1.6157 1.2711
No log 1.6344 152 1.7747 0.2294 1.7747 1.3322
No log 1.6559 154 1.7954 0.2017 1.7954 1.3399
No log 1.6774 156 1.7266 0.1234 1.7266 1.3140
No log 1.6989 158 1.7625 0.1373 1.7625 1.3276
No log 1.7204 160 1.9385 0.1551 1.9385 1.3923
No log 1.7419 162 2.0288 0.1318 2.0288 1.4244
No log 1.7634 164 1.9256 0.1720 1.9256 1.3876
No log 1.7849 166 1.6410 0.1771 1.6410 1.2810
No log 1.8065 168 1.4363 0.1048 1.4363 1.1984
No log 1.8280 170 1.3909 0.0693 1.3909 1.1793
No log 1.8495 172 1.3931 0.1244 1.3931 1.1803
No log 1.8710 174 1.4452 0.0244 1.4452 1.2022
No log 1.8925 176 1.5771 0.1254 1.5771 1.2558
No log 1.9140 178 1.8331 0.1884 1.8331 1.3539
No log 1.9355 180 2.0664 0.1639 2.0664 1.4375
No log 1.9570 182 2.0488 0.1417 2.0488 1.4314
No log 1.9785 184 1.7867 0.1528 1.7867 1.3367
No log 2.0 186 1.7109 0.1853 1.7109 1.3080
No log 2.0215 188 1.8025 0.1391 1.8025 1.3426
No log 2.0430 190 1.9165 0.0950 1.9165 1.3844
No log 2.0645 192 1.7715 0.0663 1.7715 1.3310
No log 2.0860 194 1.5872 0.1226 1.5872 1.2598
No log 2.1075 196 1.4472 0.0803 1.4472 1.2030
No log 2.1290 198 1.4371 0.0437 1.4371 1.1988
No log 2.1505 200 1.4629 0.0217 1.4629 1.2095
No log 2.1720 202 1.5953 0.0478 1.5953 1.2631
No log 2.1935 204 1.6834 0.0947 1.6834 1.2974
No log 2.2151 206 1.8402 0.1513 1.8402 1.3565
No log 2.2366 208 1.9311 0.1463 1.9311 1.3897
No log 2.2581 210 1.8888 0.0741 1.8888 1.3743
No log 2.2796 212 1.6506 0.0711 1.6506 1.2847
No log 2.3011 214 1.6228 0.1331 1.6228 1.2739
No log 2.3226 216 1.5954 0.1657 1.5954 1.2631
No log 2.3441 218 1.5758 0.2021 1.5758 1.2553
No log 2.3656 220 1.8152 0.0979 1.8152 1.3473
No log 2.3871 222 2.0568 0.1282 2.0568 1.4342
No log 2.4086 224 1.8836 0.1500 1.8836 1.3725
No log 2.4301 226 1.6843 0.0902 1.6843 1.2978
No log 2.4516 228 1.7152 0.1259 1.7152 1.3097
No log 2.4731 230 1.7362 0.1409 1.7362 1.3176
No log 2.4946 232 1.5233 0.1152 1.5233 1.2342
No log 2.5161 234 1.4940 0.1199 1.4940 1.2223
No log 2.5376 236 1.6831 0.1092 1.6831 1.2973
No log 2.5591 238 1.8491 0.1368 1.8491 1.3598
No log 2.5806 240 1.7842 0.1328 1.7842 1.3357
No log 2.6022 242 1.6471 0.1007 1.6471 1.2834
No log 2.6237 244 1.5645 0.1364 1.5645 1.2508
No log 2.6452 246 1.5245 0.1364 1.5245 1.2347
No log 2.6667 248 1.4439 0.1067 1.4439 1.2016
No log 2.6882 250 1.5875 0.1101 1.5875 1.2599
No log 2.7097 252 1.7020 0.1543 1.7020 1.3046
No log 2.7312 254 1.8793 0.1751 1.8793 1.3709
No log 2.7527 256 2.0351 0.1453 2.0351 1.4266
No log 2.7742 258 1.8807 0.1219 1.8807 1.3714
No log 2.7957 260 1.7402 0.1281 1.7402 1.3192
No log 2.8172 262 1.8233 0.1385 1.8233 1.3503
No log 2.8387 264 2.1558 0.1052 2.1558 1.4682
No log 2.8602 266 2.1646 0.0918 2.1646 1.4712
No log 2.8817 268 1.8553 0.1325 1.8553 1.3621
No log 2.9032 270 1.4871 0.0513 1.4871 1.2195
No log 2.9247 272 1.3531 0.0951 1.3531 1.1632
No log 2.9462 274 1.3487 0.0983 1.3487 1.1613
No log 2.9677 276 1.4141 0.0334 1.4141 1.1892
No log 2.9892 278 1.5746 0.1659 1.5746 1.2548
No log 3.0108 280 1.5826 0.1935 1.5826 1.2580
No log 3.0323 282 1.5369 0.1135 1.5369 1.2397
No log 3.0538 284 1.5244 0.1708 1.5244 1.2347
No log 3.0753 286 1.6730 0.2079 1.6730 1.2934
No log 3.0968 288 1.9834 0.1785 1.9834 1.4083
No log 3.1183 290 2.0459 0.2163 2.0459 1.4303
No log 3.1398 292 1.8653 0.2017 1.8653 1.3658
No log 3.1613 294 1.5959 0.1687 1.5959 1.2633
No log 3.1828 296 1.5074 0.1468 1.5074 1.2278
No log 3.2043 298 1.5223 0.1468 1.5223 1.2338
No log 3.2258 300 1.4839 0.1851 1.4839 1.2182
No log 3.2473 302 1.5377 0.1468 1.5377 1.2400
No log 3.2688 304 1.6710 0.1040 1.6710 1.2927
No log 3.2903 306 1.7805 0.1884 1.7805 1.3344
No log 3.3118 308 1.7238 0.1586 1.7238 1.3129
No log 3.3333 310 1.6804 0.1183 1.6804 1.2963
No log 3.3548 312 1.7371 0.1627 1.7371 1.3180
No log 3.3763 314 1.7682 0.1627 1.7682 1.3297
No log 3.3978 316 1.9727 0.1814 1.9727 1.4045
No log 3.4194 318 1.9847 0.1847 1.9847 1.4088
No log 3.4409 320 1.7832 0.1848 1.7832 1.3354
No log 3.4624 322 1.6347 0.1575 1.6347 1.2786
No log 3.4839 324 1.6159 0.2092 1.6159 1.2712
No log 3.5054 326 1.6904 0.1886 1.6904 1.3002
No log 3.5269 328 1.6279 0.1639 1.6279 1.2759
No log 3.5484 330 1.4667 0.1516 1.4667 1.2111
No log 3.5699 332 1.3587 0.1071 1.3587 1.1656
No log 3.5914 334 1.3402 0.1071 1.3402 1.1577
No log 3.6129 336 1.3960 0.1071 1.3960 1.1815
No log 3.6344 338 1.6142 0.2206 1.6142 1.2705
No log 3.6559 340 1.7153 0.1882 1.7153 1.3097
No log 3.6774 342 1.6560 0.1692 1.6560 1.2869
No log 3.6989 344 1.5186 0.1448 1.5186 1.2323
No log 3.7204 346 1.4816 0.1364 1.4816 1.2172
No log 3.7419 348 1.5626 0.1549 1.5626 1.2501
No log 3.7634 350 1.7450 0.1806 1.7450 1.3210
No log 3.7849 352 1.7280 0.1806 1.7280 1.3146
No log 3.8065 354 1.6601 0.1806 1.6601 1.2885
No log 3.8280 356 1.6495 0.1207 1.6495 1.2843
No log 3.8495 358 1.6217 0.1407 1.6217 1.2735
No log 3.8710 360 1.7225 0.0937 1.7225 1.3124
No log 3.8925 362 1.9691 0.1946 1.9691 1.4033
No log 3.9140 364 2.0956 0.1282 2.0956 1.4476
No log 3.9355 366 2.0107 0.0504 2.0107 1.4180
No log 3.9570 368 1.7984 0.1144 1.7984 1.3411
No log 3.9785 370 1.5820 0.0818 1.5820 1.2578
No log 4.0 372 1.4182 0.0668 1.4182 1.1909
No log 4.0215 374 1.3958 0.0668 1.3958 1.1814
No log 4.0430 376 1.4626 0.1005 1.4626 1.2094
No log 4.0645 378 1.6278 0.2009 1.6278 1.2758
No log 4.0860 380 1.7460 0.1513 1.7460 1.3214
No log 4.1075 382 1.7200 0.1657 1.7200 1.3115
No log 4.1290 384 1.6393 0.1573 1.6393 1.2804
No log 4.1505 386 1.5894 0.2009 1.5894 1.2607
No log 4.1720 388 1.5725 0.2359 1.5725 1.2540
No log 4.1935 390 1.5675 0.2359 1.5675 1.2520
No log 4.2151 392 1.5012 0.1844 1.5012 1.2252
No log 4.2366 394 1.4192 0.1163 1.4192 1.1913
No log 4.2581 396 1.4176 0.1830 1.4176 1.1906
No log 4.2796 398 1.4906 0.2086 1.4906 1.2209
No log 4.3011 400 1.6223 0.1280 1.6223 1.2737
No log 4.3226 402 1.8199 0.1551 1.8199 1.3490
No log 4.3441 404 1.8368 0.1614 1.8368 1.3553
No log 4.3656 406 1.7600 0.2163 1.7600 1.3266
No log 4.3871 408 1.5978 0.2658 1.5978 1.2640
No log 4.4086 410 1.4044 0.1670 1.4044 1.1851
No log 4.4301 412 1.3704 0.1848 1.3704 1.1706
No log 4.4516 414 1.3958 0.1848 1.3958 1.1814
No log 4.4731 416 1.3599 0.1570 1.3599 1.1661
No log 4.4946 418 1.4275 0.1763 1.4275 1.1948
No log 4.5161 420 1.5667 0.2658 1.5667 1.2517
No log 4.5376 422 1.7235 0.2132 1.7235 1.3128
No log 4.5591 424 1.6801 0.2100 1.6801 1.2962
No log 4.5806 426 1.6066 0.2521 1.6066 1.2675
No log 4.6022 428 1.6890 0.2179 1.6890 1.2996
No log 4.6237 430 1.5553 0.2436 1.5553 1.2471
No log 4.6452 432 1.3701 0.1713 1.3701 1.1705
No log 4.6667 434 1.3696 0.1850 1.3696 1.1703
No log 4.6882 436 1.4417 0.1535 1.4417 1.2007
No log 4.7097 438 1.5528 0.2191 1.5528 1.2461
No log 4.7312 440 1.6106 0.2406 1.6106 1.2691
No log 4.7527 442 1.5425 0.2343 1.5425 1.2420
No log 4.7742 444 1.4085 0.1986 1.4085 1.1868
No log 4.7957 446 1.3925 0.1986 1.3925 1.1800
No log 4.8172 448 1.5434 0.1562 1.5434 1.2423
No log 4.8387 450 1.7249 0.2547 1.7249 1.3134
No log 4.8602 452 1.8922 0.1978 1.8922 1.3756
No log 4.8817 454 1.8676 0.1978 1.8676 1.3666
No log 4.9032 456 1.7437 0.2547 1.7437 1.3205
No log 4.9247 458 1.5007 0.1935 1.5007 1.2250
No log 4.9462 460 1.3726 0.2452 1.3726 1.1716
No log 4.9677 462 1.4084 0.1986 1.4084 1.1868
No log 4.9892 464 1.5724 0.2099 1.5724 1.2540
No log 5.0108 466 1.6986 0.1843 1.6986 1.3033
No log 5.0323 468 1.6644 0.1713 1.6644 1.2901
No log 5.0538 470 1.5383 0.1051 1.5383 1.2403
No log 5.0753 472 1.4101 0.1000 1.4101 1.1875
No log 5.0968 474 1.3714 0.1090 1.3714 1.1711
No log 5.1183 476 1.4220 0.1483 1.4220 1.1925
No log 5.1398 478 1.5616 0.1387 1.5616 1.2497
No log 5.1613 480 1.6447 0.1407 1.6447 1.2825
No log 5.1828 482 1.6691 0.2272 1.6691 1.2919
No log 5.2043 484 1.6535 0.1730 1.6535 1.2859
No log 5.2258 486 1.5654 0.1436 1.5654 1.2512
No log 5.2473 488 1.6565 0.1562 1.6565 1.2871
No log 5.2688 490 1.8148 0.2310 1.8148 1.3471
No log 5.2903 492 1.7311 0.2378 1.7311 1.3157
No log 5.3118 494 1.5703 0.1202 1.5703 1.2531
No log 5.3333 496 1.5023 0.1448 1.5023 1.2257
No log 5.3548 498 1.4352 0.1405 1.4352 1.1980
0.4043 5.3763 500 1.4765 0.1339 1.4765 1.2151
0.4043 5.3978 502 1.6419 0.1176 1.6419 1.2813
0.4043 5.4194 504 1.7419 0.1155 1.7419 1.3198
0.4043 5.4409 506 1.7009 0.0693 1.7009 1.3042
0.4043 5.4624 508 1.6295 0.0263 1.6295 1.2765
0.4043 5.4839 510 1.5899 -0.0132 1.5899 1.2609

Framework versions

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