ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k15_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: 1.3549
  • Qwk: 0.1596
  • Mse: 1.3549
  • Rmse: 1.1640

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 0.0263 2 4.8022 -0.0132 4.8022 2.1914
No log 0.0526 4 2.9351 -0.0050 2.9351 1.7132
No log 0.0789 6 2.2044 -0.0553 2.2044 1.4847
No log 0.1053 8 2.0676 -0.0285 2.0676 1.4379
No log 0.1316 10 1.8414 -0.0735 1.8414 1.3570
No log 0.1579 12 1.4381 0.0201 1.4381 1.1992
No log 0.1842 14 1.4459 0.0020 1.4459 1.2025
No log 0.2105 16 1.5676 -0.1375 1.5676 1.2520
No log 0.2368 18 1.9984 -0.0295 1.9984 1.4137
No log 0.2632 20 2.5400 -0.0762 2.5400 1.5937
No log 0.2895 22 2.2913 -0.0169 2.2913 1.5137
No log 0.3158 24 1.8339 0.0372 1.8339 1.3542
No log 0.3421 26 1.4349 0.0 1.4349 1.1979
No log 0.3684 28 1.3090 0.1140 1.3090 1.1441
No log 0.3947 30 1.2531 0.0599 1.2531 1.1194
No log 0.4211 32 1.2138 0.0904 1.2138 1.1017
No log 0.4474 34 1.1956 0.1585 1.1956 1.0935
No log 0.4737 36 1.2860 0.0722 1.2860 1.1340
No log 0.5 38 1.4290 -0.0147 1.4290 1.1954
No log 0.5263 40 1.4433 -0.0463 1.4433 1.2014
No log 0.5526 42 1.3593 0.0682 1.3593 1.1659
No log 0.5789 44 1.4019 0.0442 1.4019 1.1840
No log 0.6053 46 1.4078 0.0442 1.4078 1.1865
No log 0.6316 48 1.2807 0.1042 1.2807 1.1317
No log 0.6579 50 1.2400 0.1370 1.2400 1.1136
No log 0.6842 52 1.2537 0.1107 1.2537 1.1197
No log 0.7105 54 1.2371 0.1638 1.2371 1.1122
No log 0.7368 56 1.2117 0.1011 1.2117 1.1008
No log 0.7632 58 1.2297 0.0327 1.2297 1.1089
No log 0.7895 60 1.4120 -0.0022 1.4120 1.1883
No log 0.8158 62 1.4995 -0.0022 1.4995 1.2245
No log 0.8421 64 1.4774 -0.0022 1.4774 1.2155
No log 0.8684 66 1.3757 0.0454 1.3757 1.1729
No log 0.8947 68 1.2136 0.1048 1.2136 1.1017
No log 0.9211 70 1.3188 0.0865 1.3188 1.1484
No log 0.9474 72 1.5599 0.0 1.5599 1.2490
No log 0.9737 74 1.5736 0.0 1.5736 1.2544
No log 1.0 76 1.4580 0.0 1.4580 1.2075
No log 1.0263 78 1.3203 0.0403 1.3203 1.1491
No log 1.0526 80 1.2935 -0.0199 1.2935 1.1373
No log 1.0789 82 1.3335 -0.0375 1.3335 1.1548
No log 1.1053 84 1.2847 0.0914 1.2847 1.1334
No log 1.1316 86 1.2486 0.1444 1.2486 1.1174
No log 1.1579 88 1.2472 0.0628 1.2472 1.1168
No log 1.1842 90 1.2387 0.0628 1.2387 1.1130
No log 1.2105 92 1.2353 0.0527 1.2353 1.1114
No log 1.2368 94 1.2104 0.1482 1.2104 1.1002
No log 1.2632 96 1.2037 0.1444 1.2037 1.0971
No log 1.2895 98 1.2011 0.1570 1.2011 1.0960
No log 1.3158 100 1.2008 0.1895 1.2008 1.0958
No log 1.3421 102 1.3134 0.0432 1.3134 1.1460
No log 1.3684 104 1.4063 0.0625 1.4063 1.1859
No log 1.3947 106 1.3113 0.0811 1.3113 1.1451
No log 1.4211 108 1.2505 0.1560 1.2505 1.1183
No log 1.4474 110 1.1721 0.3516 1.1721 1.0827
No log 1.4737 112 1.1064 0.2145 1.1064 1.0519
No log 1.5 114 1.1090 0.2409 1.1090 1.0531
No log 1.5263 116 1.1581 0.1431 1.1581 1.0761
No log 1.5526 118 1.4980 0.2569 1.4980 1.2239
No log 1.5789 120 1.7274 0.2540 1.7274 1.3143
No log 1.6053 122 1.5504 0.2229 1.5504 1.2451
No log 1.6316 124 1.2268 0.2145 1.2268 1.1076
No log 1.6579 126 1.5892 0.0462 1.5892 1.2606
No log 1.6842 128 1.5735 0.0512 1.5735 1.2544
No log 1.7105 130 1.3064 0.1483 1.3064 1.1430
No log 1.7368 132 1.2489 0.2331 1.2489 1.1175
No log 1.7632 134 1.2368 0.2239 1.2368 1.1121
No log 1.7895 136 1.2080 0.2802 1.2080 1.0991
No log 1.8158 138 1.1912 0.1838 1.1912 1.0914
No log 1.8421 140 1.2082 0.1182 1.2082 1.0992
No log 1.8684 142 1.3371 0.1717 1.3371 1.1563
No log 1.8947 144 1.3905 0.1280 1.3905 1.1792
No log 1.9211 146 1.3042 0.1278 1.3042 1.1420
No log 1.9474 148 1.2928 0.1022 1.2928 1.1370
No log 1.9737 150 1.3862 0.0989 1.3862 1.1774
No log 2.0 152 1.5202 0.1691 1.5202 1.2330
No log 2.0263 154 1.5860 0.1967 1.5860 1.2594
No log 2.0526 156 1.5263 0.1255 1.5263 1.2354
No log 2.0789 158 1.3805 0.2067 1.3805 1.1749
No log 2.1053 160 1.3612 0.1058 1.3612 1.1667
No log 2.1316 162 1.3744 0.1697 1.3744 1.1724
No log 2.1579 164 1.4483 0.1774 1.4483 1.2034
No log 2.1842 166 1.5598 0.1852 1.5598 1.2489
No log 2.2105 168 1.4915 0.1817 1.4915 1.2213
No log 2.2368 170 1.3626 0.0776 1.3626 1.1673
No log 2.2632 172 1.3273 0.1590 1.3273 1.1521
No log 2.2895 174 1.3772 0.0925 1.3772 1.1735
No log 2.3158 176 1.3777 0.0519 1.3777 1.1737
No log 2.3421 178 1.3940 0.0925 1.3940 1.1807
No log 2.3684 180 1.3967 0.0833 1.3967 1.1818
No log 2.3947 182 1.3795 0.0925 1.3795 1.1745
No log 2.4211 184 1.3385 0.1888 1.3385 1.1570
No log 2.4474 186 1.4120 0.2045 1.4120 1.1883
No log 2.4737 188 1.4389 0.1334 1.4389 1.1996
No log 2.5 190 1.4032 0.0994 1.4032 1.1846
No log 2.5263 192 1.3565 0.1185 1.3565 1.1647
No log 2.5526 194 1.3433 0.1337 1.3433 1.1590
No log 2.5789 196 1.3479 0.1638 1.3479 1.1610
No log 2.6053 198 1.3842 0.1824 1.3842 1.1765
No log 2.6316 200 1.4043 0.1739 1.4043 1.1850
No log 2.6579 202 1.4206 0.1469 1.4206 1.1919
No log 2.6842 204 1.3880 0.1417 1.3880 1.1781
No log 2.7105 206 1.3761 0.1773 1.3761 1.1731
No log 2.7368 208 1.3611 0.2067 1.3611 1.1666
No log 2.7632 210 1.3496 0.2292 1.3496 1.1617
No log 2.7895 212 1.2630 0.2712 1.2630 1.1239
No log 2.8158 214 1.2350 0.2458 1.2350 1.1113
No log 2.8421 216 1.1990 0.2904 1.1990 1.0950
No log 2.8684 218 1.1876 0.3088 1.1876 1.0898
No log 2.8947 220 1.2229 0.2764 1.2229 1.1058
No log 2.9211 222 1.3960 0.2742 1.3960 1.1815
No log 2.9474 224 1.6456 0.1884 1.6456 1.2828
No log 2.9737 226 1.6443 0.1848 1.6443 1.2823
No log 3.0 228 1.4651 0.2555 1.4651 1.2104
No log 3.0263 230 1.2975 0.1136 1.2975 1.1391
No log 3.0526 232 1.2219 0.2608 1.2219 1.1054
No log 3.0789 234 1.2159 0.2608 1.2159 1.1027
No log 3.1053 236 1.2646 0.2060 1.2646 1.1245
No log 3.1316 238 1.3652 0.2443 1.3652 1.1684
No log 3.1579 240 1.3913 0.2733 1.3913 1.1795
No log 3.1842 242 1.4716 0.2478 1.4716 1.2131
No log 3.2105 244 1.3837 0.2303 1.3837 1.1763
No log 3.2368 246 1.4075 0.2181 1.4075 1.1864
No log 3.2632 248 1.3158 0.2692 1.3158 1.1471
No log 3.2895 250 1.2086 0.2877 1.2086 1.0994
No log 3.3158 252 1.2016 0.1975 1.2016 1.0962
No log 3.3421 254 1.2488 0.0946 1.2488 1.1175
No log 3.3684 256 1.3334 0.1428 1.3334 1.1547
No log 3.3947 258 1.3709 0.1670 1.3709 1.1708
No log 3.4211 260 1.3176 0.1585 1.3176 1.1479
No log 3.4474 262 1.2420 0.2285 1.2420 1.1144
No log 3.4737 264 1.2879 0.1957 1.2879 1.1349
No log 3.5 266 1.4488 0.2172 1.4488 1.2037
No log 3.5263 268 1.5106 0.2314 1.5106 1.2291
No log 3.5526 270 1.3879 0.2201 1.3879 1.1781
No log 3.5789 272 1.2529 0.1814 1.2529 1.1193
No log 3.6053 274 1.2506 0.1602 1.2506 1.1183
No log 3.6316 276 1.2533 0.1602 1.2533 1.1195
No log 3.6579 278 1.3195 0.1500 1.3195 1.1487
No log 3.6842 280 1.3325 0.1500 1.3325 1.1543
No log 3.7105 282 1.2638 0.1504 1.2638 1.1242
No log 3.7368 284 1.2159 0.1986 1.2159 1.1027
No log 3.7632 286 1.1993 0.2001 1.1993 1.0951
No log 3.7895 288 1.1923 0.1654 1.1923 1.0919
No log 3.8158 290 1.1725 0.1886 1.1725 1.0828
No log 3.8421 292 1.2199 0.2015 1.2199 1.1045
No log 3.8684 294 1.2877 0.2403 1.2877 1.1348
No log 3.8947 296 1.2517 0.2375 1.2517 1.1188
No log 3.9211 298 1.2315 0.2671 1.2315 1.1097
No log 3.9474 300 1.2392 0.2310 1.2392 1.1132
No log 3.9737 302 1.2690 0.2403 1.2690 1.1265
No log 4.0 304 1.3256 0.1594 1.3256 1.1513
No log 4.0263 306 1.4092 0.1537 1.4092 1.1871
No log 4.0526 308 1.3747 0.1163 1.3747 1.1725
No log 4.0789 310 1.3562 0.1594 1.3562 1.1646
No log 4.1053 312 1.3264 0.1594 1.3264 1.1517
No log 4.1316 314 1.2681 0.1567 1.2681 1.1261
No log 4.1579 316 1.2367 0.1567 1.2367 1.1121
No log 4.1842 318 1.2299 0.2424 1.2299 1.1090
No log 4.2105 320 1.2344 0.2020 1.2344 1.1111
No log 4.2368 322 1.2990 0.2174 1.2990 1.1397
No log 4.2632 324 1.3443 0.2607 1.3443 1.1594
No log 4.2895 326 1.4013 0.2511 1.4013 1.1837
No log 4.3158 328 1.4061 0.2387 1.4061 1.1858
No log 4.3421 330 1.3237 0.2321 1.3237 1.1505
No log 4.3684 332 1.2054 0.1559 1.2054 1.0979
No log 4.3947 334 1.1548 0.1507 1.1548 1.0746
No log 4.4211 336 1.1700 0.2416 1.1700 1.0817
No log 4.4474 338 1.1737 0.1834 1.1737 1.0834
No log 4.4737 340 1.1950 0.1775 1.1950 1.0932
No log 4.5 342 1.2245 0.1310 1.2245 1.1066
No log 4.5263 344 1.2099 0.1775 1.2099 1.0999
No log 4.5526 346 1.2291 0.2113 1.2291 1.1086
No log 4.5789 348 1.2765 0.2322 1.2765 1.1298
No log 4.6053 350 1.2914 0.2322 1.2914 1.1364
No log 4.6316 352 1.3327 0.2211 1.3327 1.1544
No log 4.6579 354 1.3992 0.1438 1.3992 1.1829
No log 4.6842 356 1.4151 0.1549 1.4151 1.1896
No log 4.7105 358 1.3751 0.2224 1.3751 1.1726
No log 4.7368 360 1.2813 0.2152 1.2813 1.1320
No log 4.7632 362 1.2231 0.1309 1.2231 1.1059
No log 4.7895 364 1.2192 0.1370 1.2192 1.1042
No log 4.8158 366 1.2470 0.1121 1.2470 1.1167
No log 4.8421 368 1.3375 0.2397 1.3375 1.1565
No log 4.8684 370 1.4940 0.2051 1.4940 1.2223
No log 4.8947 372 1.5254 0.1929 1.5254 1.2351
No log 4.9211 374 1.4816 0.1597 1.4816 1.2172
No log 4.9474 376 1.3703 0.0871 1.3703 1.1706
No log 4.9737 378 1.2867 0.1081 1.2867 1.1343
No log 5.0 380 1.2644 0.1081 1.2644 1.1245
No log 5.0263 382 1.2638 0.1081 1.2638 1.1242
No log 5.0526 384 1.2511 0.0721 1.2511 1.1185
No log 5.0789 386 1.2491 0.0721 1.2491 1.1176
No log 5.1053 388 1.2964 0.1801 1.2964 1.1386
No log 5.1316 390 1.3508 0.1312 1.3508 1.1622
No log 5.1579 392 1.3741 0.2132 1.3741 1.1722
No log 5.1842 394 1.3167 0.1814 1.3167 1.1475
No log 5.2105 396 1.2722 0.0863 1.2722 1.1279
No log 5.2368 398 1.2878 0.2541 1.2878 1.1348
No log 5.2632 400 1.3320 0.2452 1.3320 1.1541
No log 5.2895 402 1.3903 0.2313 1.3903 1.1791
No log 5.3158 404 1.3770 0.2173 1.3770 1.1734
No log 5.3421 406 1.3200 0.2313 1.3200 1.1489
No log 5.3684 408 1.2824 0.2619 1.2824 1.1324
No log 5.3947 410 1.2486 0.2552 1.2486 1.1174
No log 5.4211 412 1.3278 0.1611 1.3278 1.1523
No log 5.4474 414 1.3197 0.1801 1.3197 1.1488
No log 5.4737 416 1.2804 0.2250 1.2804 1.1316
No log 5.5 418 1.2671 0.2250 1.2671 1.1256
No log 5.5263 420 1.3406 0.1611 1.3406 1.1578
No log 5.5526 422 1.3634 0.1986 1.3634 1.1676
No log 5.5789 424 1.3372 0.2124 1.3372 1.1564
No log 5.6053 426 1.3431 0.1484 1.3431 1.1589
No log 5.6316 428 1.4003 0.0741 1.4003 1.1833
No log 5.6579 430 1.4287 0.1282 1.4287 1.1953
No log 5.6842 432 1.4045 0.1067 1.4045 1.1851
No log 5.7105 434 1.3395 0.1801 1.3395 1.1574
No log 5.7368 436 1.3011 0.1180 1.3011 1.1407
No log 5.7632 438 1.3096 0.1180 1.3096 1.1444
No log 5.7895 440 1.3469 0.1701 1.3469 1.1606
No log 5.8158 442 1.5075 0.1585 1.5075 1.2278
No log 5.8421 444 1.6502 0.0764 1.6502 1.2846
No log 5.8684 446 1.6350 0.1230 1.6350 1.2787
No log 5.8947 448 1.4696 0.1722 1.4696 1.2123
No log 5.9211 450 1.3533 0.1338 1.3533 1.1633
No log 5.9474 452 1.3210 0.1911 1.3210 1.1494
No log 5.9737 454 1.2988 0.1442 1.2988 1.1397
No log 6.0 456 1.3104 0.1801 1.3104 1.1447
No log 6.0263 458 1.3273 0.1801 1.3273 1.1521
No log 6.0526 460 1.3068 0.1801 1.3068 1.1431
No log 6.0789 462 1.3088 0.1801 1.3088 1.1440
No log 6.1053 464 1.3346 0.2108 1.3346 1.1553
No log 6.1316 466 1.3149 0.1801 1.3149 1.1467
No log 6.1579 468 1.2952 0.1801 1.2952 1.1381
No log 6.1842 470 1.2944 0.1801 1.2944 1.1377
No log 6.2105 472 1.3105 0.2108 1.3105 1.1448
No log 6.2368 474 1.3524 0.2313 1.3524 1.1629
No log 6.2632 476 1.4107 0.1761 1.4107 1.1877
No log 6.2895 478 1.4086 0.1761 1.4086 1.1868
No log 6.3158 480 1.4122 0.2163 1.4122 1.1884
No log 6.3421 482 1.3779 0.2163 1.3779 1.1738
No log 6.3684 484 1.4308 0.1851 1.4308 1.1962
No log 6.3947 486 1.4028 0.2028 1.4028 1.1844
No log 6.4211 488 1.2923 0.1599 1.2923 1.1368
No log 6.4474 490 1.2412 0.1860 1.2412 1.1141
No log 6.4737 492 1.2331 0.1645 1.2331 1.1105
No log 6.5 494 1.2587 0.1479 1.2587 1.1219
No log 6.5263 496 1.2524 0.1479 1.2524 1.1191
No log 6.5526 498 1.2744 0.1026 1.2744 1.1289
0.4199 6.5789 500 1.3260 0.1989 1.3260 1.1515
0.4199 6.6053 502 1.4493 0.2055 1.4493 1.2039
0.4199 6.6316 504 1.4365 0.1687 1.4365 1.1986
0.4199 6.6579 506 1.4140 0.1335 1.4140 1.1891
0.4199 6.6842 508 1.4284 0.1064 1.4284 1.1952
0.4199 6.7105 510 1.3825 0.1405 1.3825 1.1758
0.4199 6.7368 512 1.3549 0.1596 1.3549 1.1640

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu118
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
-
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/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k15_task2_organization

Finetuned
(4019)
this model