ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k9_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: 1.3448
  • Qwk: 0.1371
  • Mse: 1.3448
  • Rmse: 1.1596

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 0.0435 2 4.6703 0.0010 4.6703 2.1611
No log 0.0870 4 2.7705 0.0140 2.7705 1.6645
No log 0.1304 6 1.9995 -0.0102 1.9995 1.4140
No log 0.1739 8 1.5140 0.0201 1.5140 1.2305
No log 0.2174 10 1.4260 0.0203 1.4260 1.1942
No log 0.2609 12 1.5264 -0.0161 1.5264 1.2355
No log 0.3043 14 1.4111 -0.0128 1.4111 1.1879
No log 0.3478 16 1.4051 0.0253 1.4051 1.1854
No log 0.3913 18 1.3558 0.0232 1.3558 1.1644
No log 0.4348 20 1.3127 0.0186 1.3127 1.1457
No log 0.4783 22 1.2626 0.0796 1.2626 1.1237
No log 0.5217 24 1.2633 0.0613 1.2633 1.1240
No log 0.5652 26 1.2988 0.1076 1.2988 1.1396
No log 0.6087 28 1.2544 0.1542 1.2544 1.1200
No log 0.6522 30 1.2044 0.1370 1.2044 1.0975
No log 0.6957 32 1.2342 0.0427 1.2342 1.1109
No log 0.7391 34 1.2668 0.0700 1.2668 1.1255
No log 0.7826 36 1.3210 0.0847 1.3210 1.1493
No log 0.8261 38 1.5612 -0.0649 1.5612 1.2495
No log 0.8696 40 1.4555 0.0522 1.4555 1.2065
No log 0.9130 42 1.4345 0.0741 1.4345 1.1977
No log 0.9565 44 1.2526 0.1638 1.2526 1.1192
No log 1.0 46 1.2015 0.2333 1.2015 1.0962
No log 1.0435 48 1.2226 0.1984 1.2226 1.1057
No log 1.0870 50 1.1967 0.1870 1.1967 1.0939
No log 1.1304 52 1.2182 0.1984 1.2182 1.1037
No log 1.1739 54 1.1532 0.1911 1.1532 1.0739
No log 1.2174 56 1.1276 0.1210 1.1276 1.0619
No log 1.2609 58 1.1563 0.1868 1.1563 1.0753
No log 1.3043 60 1.2283 0.1641 1.2283 1.1083
No log 1.3478 62 1.2436 0.1310 1.2436 1.1152
No log 1.3913 64 1.2577 0.0934 1.2577 1.1215
No log 1.4348 66 1.2722 0.1121 1.2722 1.1279
No log 1.4783 68 1.2902 0.125 1.2902 1.1359
No log 1.5217 70 1.2351 0.1902 1.2351 1.1113
No log 1.5652 72 1.1929 0.1977 1.1929 1.0922
No log 1.6087 74 1.2655 0.1480 1.2655 1.1249
No log 1.6522 76 1.2235 0.1267 1.2235 1.1061
No log 1.6957 78 1.1882 0.1767 1.1882 1.0900
No log 1.7391 80 1.2523 0.1755 1.2523 1.1190
No log 1.7826 82 1.3109 0.1063 1.3109 1.1449
No log 1.8261 84 1.3717 0.2772 1.3717 1.1712
No log 1.8696 86 1.5582 0.3045 1.5582 1.2483
No log 1.9130 88 1.5663 0.2925 1.5663 1.2515
No log 1.9565 90 1.4099 0.2772 1.4099 1.1874
No log 2.0 92 1.4024 0.2772 1.4024 1.1842
No log 2.0435 94 1.4858 0.2191 1.4858 1.2189
No log 2.0870 96 1.5393 0.2903 1.5393 1.2407
No log 2.1304 98 1.3932 0.1712 1.3932 1.1803
No log 2.1739 100 1.3922 0.0911 1.3922 1.1799
No log 2.2174 102 1.4386 0.0952 1.4386 1.1994
No log 2.2609 104 1.5498 0.1631 1.5498 1.2449
No log 2.3043 106 1.5142 0.0714 1.5142 1.2305
No log 2.3478 108 1.5403 0.0686 1.5403 1.2411
No log 2.3913 110 1.6341 -0.0063 1.6341 1.2783
No log 2.4348 112 1.8686 0.0621 1.8686 1.3670
No log 2.4783 114 1.9787 0.0746 1.9787 1.4067
No log 2.5217 116 1.9318 0.0934 1.9318 1.3899
No log 2.5652 118 1.7380 0.1057 1.7380 1.3183
No log 2.6087 120 1.5258 0.1156 1.5258 1.2352
No log 2.6522 122 1.4462 0.1217 1.4462 1.2026
No log 2.6957 124 1.4441 0.1026 1.4441 1.2017
No log 2.7391 126 1.5470 0.1891 1.5470 1.2438
No log 2.7826 128 1.6728 0.1025 1.6728 1.2934
No log 2.8261 130 1.6553 0.1144 1.6553 1.2866
No log 2.8696 132 1.6542 0.0146 1.6542 1.2862
No log 2.9130 134 1.5453 0.1028 1.5453 1.2431
No log 2.9565 136 1.5830 0.2606 1.5830 1.2582
No log 3.0 138 1.5493 0.2806 1.5493 1.2447
No log 3.0435 140 1.4233 0.2263 1.4233 1.1930
No log 3.0870 142 1.3423 0.1679 1.3423 1.1586
No log 3.1304 144 1.3219 0.1864 1.3219 1.1497
No log 3.1739 146 1.3804 0.2224 1.3804 1.1749
No log 3.2174 148 1.5223 0.3171 1.5223 1.2338
No log 3.2609 150 1.6121 0.2633 1.6121 1.2697
No log 3.3043 152 1.4892 0.2371 1.4892 1.2203
No log 3.3478 154 1.4161 0.2417 1.4161 1.1900
No log 3.3913 156 1.4059 0.2132 1.4059 1.1857
No log 3.4348 158 1.4538 0.1844 1.4538 1.2058
No log 3.4783 160 1.4560 0.1795 1.4560 1.2066
No log 3.5217 162 1.4301 0.2224 1.4301 1.1959
No log 3.5652 164 1.4453 0.1744 1.4453 1.2022
No log 3.6087 166 1.5440 0.2108 1.5440 1.2426
No log 3.6522 168 1.8101 0.1385 1.8101 1.3454
No log 3.6957 170 1.8431 0.1751 1.8431 1.3576
No log 3.7391 172 1.5631 0.2153 1.5631 1.2502
No log 3.7826 174 1.3899 0.0331 1.3899 1.1790
No log 3.8261 176 1.4112 0.0218 1.4112 1.1879
No log 3.8696 178 1.3916 0.0750 1.3916 1.1797
No log 3.9130 180 1.4274 0.2602 1.4274 1.1947
No log 3.9565 182 1.4927 0.2074 1.4927 1.2218
No log 4.0 184 1.5358 0.2559 1.5358 1.2393
No log 4.0435 186 1.5787 0.2201 1.5787 1.2565
No log 4.0870 188 1.5931 0.1471 1.5931 1.2622
No log 4.1304 190 1.6073 0.2450 1.6073 1.2678
No log 4.1739 192 1.6191 0.1977 1.6191 1.2724
No log 4.2174 194 1.4766 0.2743 1.4766 1.2151
No log 4.2609 196 1.4440 0.0798 1.4440 1.2017
No log 4.3043 198 1.5017 0.2184 1.5017 1.2254
No log 4.3478 200 1.5813 0.2117 1.5813 1.2575
No log 4.3913 202 1.5873 0.1652 1.5873 1.2599
No log 4.4348 204 1.5374 0.0918 1.5374 1.2399
No log 4.4783 206 1.5297 -0.0171 1.5297 1.2368
No log 4.5217 208 1.5310 0.0842 1.5310 1.2373
No log 4.5652 210 1.6574 0.1855 1.6574 1.2874
No log 4.6087 212 1.7471 0.1455 1.7471 1.3218
No log 4.6522 214 1.6158 0.1253 1.6158 1.2711
No log 4.6957 216 1.5500 0.1813 1.5500 1.2450
No log 4.7391 218 1.5343 0.1997 1.5343 1.2387
No log 4.7826 220 1.4766 0.1465 1.4766 1.2152
No log 4.8261 222 1.4529 0.0010 1.4529 1.2054
No log 4.8696 224 1.4440 0.0798 1.4440 1.2017
No log 4.9130 226 1.4724 0.1696 1.4724 1.2134
No log 4.9565 228 1.5486 0.1795 1.5486 1.2444
No log 5.0 230 1.5673 0.1254 1.5673 1.2519
No log 5.0435 232 1.5239 0.2173 1.5239 1.2345
No log 5.0870 234 1.4726 0.1466 1.4726 1.2135
No log 5.1304 236 1.4507 0.1309 1.4507 1.2045
No log 5.1739 238 1.4191 0.1371 1.4191 1.1913
No log 5.2174 240 1.4600 0.1857 1.4600 1.2083
No log 5.2609 242 1.5225 0.1848 1.5225 1.2339
No log 5.3043 244 1.5088 0.1848 1.5088 1.2283
No log 5.3478 246 1.4357 0.2015 1.4357 1.1982
No log 5.3913 248 1.3986 0.0153 1.3986 1.1826
No log 5.4348 250 1.3766 0.1275 1.3766 1.1733
No log 5.4783 252 1.4467 0.2475 1.4467 1.2028
No log 5.5217 254 1.5244 0.1975 1.5244 1.2346
No log 5.5652 256 1.4993 0.2014 1.4993 1.2245
No log 5.6087 258 1.4065 0.2397 1.4065 1.1860
No log 5.6522 260 1.3738 0.2818 1.3738 1.1721
No log 5.6957 262 1.4145 0.2542 1.4145 1.1893
No log 5.7391 264 1.4580 0.2494 1.4580 1.2075
No log 5.7826 266 1.5560 0.1639 1.5560 1.2474
No log 5.8261 268 1.5050 0.3243 1.5050 1.2268
No log 5.8696 270 1.4203 0.2452 1.4203 1.1918
No log 5.9130 272 1.3710 0.2223 1.3710 1.1709
No log 5.9565 274 1.2983 0.1430 1.2983 1.1394
No log 6.0 276 1.3229 0.2050 1.3229 1.1502
No log 6.0435 278 1.4733 0.2857 1.4733 1.2138
No log 6.0870 280 1.5220 0.2295 1.5220 1.2337
No log 6.1304 282 1.4201 0.3046 1.4201 1.1917
No log 6.1739 284 1.4063 0.3046 1.4063 1.1859
No log 6.2174 286 1.4557 0.3284 1.4557 1.2065
No log 6.2609 288 1.5532 0.2903 1.5532 1.2463
No log 6.3043 290 1.4625 0.2870 1.4625 1.2093
No log 6.3478 292 1.3875 0.1122 1.3875 1.1779
No log 6.3913 294 1.3720 0.1282 1.3720 1.1713
No log 6.4348 296 1.3500 0.1344 1.3500 1.1619
No log 6.4783 298 1.4504 0.2980 1.4504 1.2043
No log 6.5217 300 1.6207 0.2163 1.6207 1.2731
No log 6.5652 302 1.6569 0.1811 1.6569 1.2872
No log 6.6087 304 1.5189 0.2237 1.5189 1.2324
No log 6.6522 306 1.4116 0.1860 1.4116 1.1881
No log 6.6957 308 1.4187 0.1280 1.4187 1.1911
No log 6.7391 310 1.5150 0.2224 1.5150 1.2308
No log 6.7826 312 1.4577 0.2224 1.4577 1.2074
No log 6.8261 314 1.3607 0.0835 1.3607 1.1665
No log 6.8696 316 1.3332 0.0664 1.3332 1.1546
No log 6.9130 318 1.3394 0.0835 1.3394 1.1573
No log 6.9565 320 1.3660 0.1185 1.3660 1.1687
No log 7.0 322 1.4106 0.0937 1.4106 1.1877
No log 7.0435 324 1.4714 0.1698 1.4714 1.2130
No log 7.0870 326 1.4423 0.1462 1.4423 1.2010
No log 7.1304 328 1.4083 0.0750 1.4083 1.1867
No log 7.1739 330 1.4269 0.0750 1.4269 1.1945
No log 7.2174 332 1.4927 0.1698 1.4927 1.2218
No log 7.2609 334 1.5382 0.1796 1.5382 1.2402
No log 7.3043 336 1.4619 0.1031 1.4619 1.2091
No log 7.3478 338 1.3628 -0.0212 1.3628 1.1674
No log 7.3913 340 1.3501 -0.0042 1.3501 1.1620
No log 7.4348 342 1.3596 0.0126 1.3596 1.1660
No log 7.4783 344 1.4177 0.0885 1.4177 1.1907
No log 7.5217 346 1.6425 0.2217 1.6425 1.2816
No log 7.5652 348 1.7678 0.1026 1.7678 1.3296
No log 7.6087 350 1.6132 0.2325 1.6132 1.2701
No log 7.6522 352 1.4015 0.1463 1.4015 1.1839
No log 7.6957 354 1.3209 0.0885 1.3209 1.1493
No log 7.7391 356 1.3037 0.0721 1.3037 1.1418
No log 7.7826 358 1.3694 0.1650 1.3694 1.1702
No log 7.8261 360 1.6280 0.3047 1.6280 1.2759
No log 7.8696 362 1.7935 0.1672 1.7935 1.3392
No log 7.9130 364 1.7669 0.1672 1.7669 1.3292
No log 7.9565 366 1.5462 0.2359 1.5462 1.2435
No log 8.0 368 1.3628 0.2905 1.3628 1.1674
No log 8.0435 370 1.3143 0.1053 1.3143 1.1464
No log 8.0870 372 1.3019 0.0954 1.3019 1.1410
No log 8.1304 374 1.3209 0.2535 1.3209 1.1493
No log 8.1739 376 1.3135 0.2446 1.3135 1.1461
No log 8.2174 378 1.3445 0.2716 1.3445 1.1595
No log 8.2609 380 1.4413 0.2126 1.4413 1.2006
No log 8.3043 382 1.5315 0.1890 1.5315 1.2376
No log 8.3478 384 1.5337 0.1812 1.5337 1.2384
No log 8.3913 386 1.4366 0.2222 1.4366 1.1986
No log 8.4348 388 1.3759 0.1769 1.3759 1.1730
No log 8.4783 390 1.3451 0.1769 1.3451 1.1598
No log 8.5217 392 1.3820 0.1578 1.3820 1.1756
No log 8.5652 394 1.3903 0.2100 1.3903 1.1791
No log 8.6087 396 1.3984 0.2100 1.3984 1.1826
No log 8.6522 398 1.3999 0.2100 1.3999 1.1832
No log 8.6957 400 1.3297 0.1442 1.3297 1.1531
No log 8.7391 402 1.3245 0.1442 1.3245 1.1509
No log 8.7826 404 1.4538 0.2527 1.4538 1.2058
No log 8.8261 406 1.6338 0.1726 1.6338 1.2782
No log 8.8696 408 1.6125 0.2084 1.6125 1.2698
No log 8.9130 410 1.4049 0.2479 1.4049 1.1853
No log 8.9565 412 1.2695 0.2110 1.2695 1.1267
No log 9.0 414 1.2517 0.0958 1.2517 1.1188
No log 9.0435 416 1.2658 0.1149 1.2658 1.1251
No log 9.0870 418 1.2798 0.1504 1.2798 1.1313
No log 9.1304 420 1.3175 0.1282 1.3175 1.1478
No log 9.1739 422 1.3459 0.1282 1.3459 1.1601
No log 9.2174 424 1.3848 0.1344 1.3848 1.1768
No log 9.2609 426 1.4113 0.1502 1.4113 1.1880
No log 9.3043 428 1.4710 0.1671 1.4710 1.2128
No log 9.3478 430 1.6104 0.1734 1.6104 1.2690
No log 9.3913 432 1.6624 0.1663 1.6624 1.2894
No log 9.4348 434 1.6335 0.0771 1.6335 1.2781
No log 9.4783 436 1.5920 0.1867 1.5920 1.2618
No log 9.5217 438 1.5650 0.1675 1.5650 1.2510
No log 9.5652 440 1.5540 0.1722 1.5540 1.2466
No log 9.6087 442 1.5584 0.2163 1.5584 1.2483
No log 9.6522 444 1.4837 0.1807 1.4837 1.2181
No log 9.6957 446 1.4286 0.1371 1.4286 1.1953
No log 9.7391 448 1.4487 0.1371 1.4487 1.2036
No log 9.7826 450 1.4990 0.2173 1.4990 1.2243
No log 9.8261 452 1.4932 0.1957 1.4932 1.2220
No log 9.8696 454 1.4607 0.1337 1.4607 1.2086
No log 9.9130 456 1.4302 0.1430 1.4302 1.1959
No log 9.9565 458 1.4525 0.2223 1.4525 1.2052
No log 10.0 460 1.4862 0.2457 1.4862 1.2191
No log 10.0435 462 1.4285 0.2586 1.4285 1.1952
No log 10.0870 464 1.3203 0.1405 1.3203 1.1490
No log 10.1304 466 1.2839 0.0434 1.2839 1.1331
No log 10.1739 468 1.3192 0.0503 1.3192 1.1486
No log 10.2174 470 1.3604 0.0598 1.3604 1.1664
No log 10.2609 472 1.4114 0.0849 1.4114 1.1880
No log 10.3043 474 1.4641 0.1097 1.4641 1.2100
No log 10.3478 476 1.5796 0.1395 1.5796 1.2568
No log 10.3913 478 1.5872 0.1611 1.5872 1.2598
No log 10.4348 480 1.4910 0.0970 1.4910 1.2211
No log 10.4783 482 1.4306 0.0731 1.4306 1.1961
No log 10.5217 484 1.4229 0.0340 1.4229 1.1929
No log 10.5652 486 1.4128 0.0104 1.4128 1.1886
No log 10.6087 488 1.4672 0.1279 1.4672 1.2113
No log 10.6522 490 1.5417 0.1758 1.5417 1.2417
No log 10.6957 492 1.5479 0.2224 1.5479 1.2441
No log 10.7391 494 1.4750 0.1279 1.4750 1.2145
No log 10.7826 496 1.4297 0.1617 1.4297 1.1957
No log 10.8261 498 1.4304 0.1371 1.4304 1.1960
0.3262 10.8696 500 1.4535 0.1667 1.4535 1.2056
0.3262 10.9130 502 1.4061 0.1371 1.4061 1.1858
0.3262 10.9565 504 1.3793 0.0806 1.3793 1.1744
0.3262 11.0 506 1.4296 0.1371 1.4296 1.1957
0.3262 11.0435 508 1.5440 0.2371 1.5440 1.2426
0.3262 11.0870 510 1.5863 0.1929 1.5863 1.2595
0.3262 11.1304 512 1.5293 0.2286 1.5293 1.2366
0.3262 11.1739 514 1.4669 0.1850 1.4669 1.2112
0.3262 11.2174 516 1.4200 0.2046 1.4200 1.1916
0.3262 11.2609 518 1.3666 0.1502 1.3666 1.1690
0.3262 11.3043 520 1.3859 0.1500 1.3859 1.1773
0.3262 11.3478 522 1.4441 0.2141 1.4441 1.2017
0.3262 11.3913 524 1.4971 0.1891 1.4971 1.2236
0.3262 11.4348 526 1.5710 0.2009 1.5710 1.2534
0.3262 11.4783 528 1.4987 0.2060 1.4987 1.2242
0.3262 11.5217 530 1.3525 0.1692 1.3525 1.1630
0.3262 11.5652 532 1.2312 0.1149 1.2312 1.1096
0.3262 11.6087 534 1.2178 0.1275 1.2178 1.1035
0.3262 11.6522 536 1.2377 0.0989 1.2377 1.1125
0.3262 11.6957 538 1.2610 0.0989 1.2610 1.1230
0.3262 11.7391 540 1.3448 0.1371 1.3448 1.1596

Framework versions

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