ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k1_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: 1.1634
  • Qwk: 0.2686
  • Mse: 1.1634
  • Rmse: 1.0786

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 0.4 2 4.7344 0.0010 4.7344 2.1759
No log 0.8 4 2.7974 -0.0187 2.7974 1.6725
No log 1.2 6 1.9628 -0.0164 1.9628 1.4010
No log 1.6 8 1.6012 0.0559 1.6012 1.2654
No log 2.0 10 1.3000 0.1530 1.3000 1.1402
No log 2.4 12 1.2599 0.1176 1.2599 1.1224
No log 2.8 14 1.2753 0.1044 1.2753 1.1293
No log 3.2 16 1.2344 0.1370 1.2344 1.1110
No log 3.6 18 1.2218 0.1532 1.2218 1.1053
No log 4.0 20 1.2376 0.0854 1.2376 1.1125
No log 4.4 22 1.2864 0.0587 1.2864 1.1342
No log 4.8 24 1.3156 0.0677 1.3156 1.1470
No log 5.2 26 1.4538 0.0800 1.4538 1.2057
No log 5.6 28 1.4483 0.0681 1.4483 1.2034
No log 6.0 30 1.3249 0.1328 1.3249 1.1510
No log 6.4 32 1.2951 0.1646 1.2951 1.1380
No log 6.8 34 1.2466 0.2146 1.2466 1.1165
No log 7.2 36 1.2534 0.2572 1.2534 1.1196
No log 7.6 38 1.2475 0.2374 1.2475 1.1169
No log 8.0 40 1.2914 0.3069 1.2914 1.1364
No log 8.4 42 1.3241 0.1667 1.3241 1.1507
No log 8.8 44 1.2455 0.2640 1.2455 1.1160
No log 9.2 46 1.2372 0.1477 1.2372 1.1123
No log 9.6 48 1.2592 0.1513 1.2592 1.1221
No log 10.0 50 1.3031 0.2076 1.3031 1.1415
No log 10.4 52 1.2482 0.1331 1.2482 1.1172
No log 10.8 54 1.2344 0.1620 1.2344 1.1110
No log 11.2 56 1.2396 0.1536 1.2396 1.1134
No log 11.6 58 1.2008 0.1719 1.2008 1.0958
No log 12.0 60 1.1918 0.3093 1.1918 1.0917
No log 12.4 62 1.2577 0.2108 1.2577 1.1215
No log 12.8 64 1.1734 0.2130 1.1734 1.0832
No log 13.2 66 1.1137 0.2145 1.1137 1.0553
No log 13.6 68 1.1383 0.2222 1.1383 1.0669
No log 14.0 70 1.1338 0.1301 1.1338 1.0648
No log 14.4 72 1.1770 0.2351 1.1770 1.0849
No log 14.8 74 1.2102 0.2351 1.2102 1.1001
No log 15.2 76 1.1717 0.2142 1.1717 1.0824
No log 15.6 78 1.1858 0.2612 1.1858 1.0889
No log 16.0 80 1.1977 0.2468 1.1977 1.0944
No log 16.4 82 1.2326 0.3045 1.2326 1.1102
No log 16.8 84 1.2478 0.3045 1.2478 1.1170
No log 17.2 86 1.2566 0.2176 1.2566 1.1210
No log 17.6 88 1.2915 0.2461 1.2915 1.1365
No log 18.0 90 1.2705 0.1881 1.2705 1.1271
No log 18.4 92 1.2330 0.2092 1.2330 1.1104
No log 18.8 94 1.2228 0.2092 1.2228 1.1058
No log 19.2 96 1.2120 0.3191 1.2120 1.1009
No log 19.6 98 1.1977 0.3165 1.1977 1.0944
No log 20.0 100 1.1608 0.2661 1.1608 1.0774
No log 20.4 102 1.1760 0.2823 1.1760 1.0844
No log 20.8 104 1.1484 0.2034 1.1484 1.0716
No log 21.2 106 1.1778 0.3326 1.1778 1.0853
No log 21.6 108 1.1900 0.1655 1.1900 1.0909
No log 22.0 110 1.2300 0.1843 1.2300 1.1090
No log 22.4 112 1.2469 0.1805 1.2469 1.1167
No log 22.8 114 1.2756 0.2474 1.2756 1.1294
No log 23.2 116 1.3341 0.1546 1.3341 1.1550
No log 23.6 118 1.4008 0.1396 1.4008 1.1836
No log 24.0 120 1.3596 0.1363 1.3596 1.1660
No log 24.4 122 1.3529 0.1849 1.3529 1.1631
No log 24.8 124 1.3498 0.1609 1.3498 1.1618
No log 25.2 126 1.3097 0.1551 1.3097 1.1444
No log 25.6 128 1.4055 0.1764 1.4055 1.1855
No log 26.0 130 1.5406 0.1670 1.5406 1.2412
No log 26.4 132 1.5292 0.1929 1.5292 1.2366
No log 26.8 134 1.4107 0.1558 1.4107 1.1877
No log 27.2 136 1.3601 0.2030 1.3601 1.1662
No log 27.6 138 1.3626 0.2291 1.3626 1.1673
No log 28.0 140 1.4633 0.2317 1.4633 1.2097
No log 28.4 142 1.4825 0.2101 1.4825 1.2176
No log 28.8 144 1.3593 0.1957 1.3593 1.1659
No log 29.2 146 1.2842 0.2083 1.2842 1.1332
No log 29.6 148 1.3001 0.1745 1.3001 1.1402
No log 30.0 150 1.3119 0.1890 1.3119 1.1454
No log 30.4 152 1.3099 0.2313 1.3099 1.1445
No log 30.8 154 1.2684 0.1150 1.2684 1.1262
No log 31.2 156 1.2645 0.2092 1.2645 1.1245
No log 31.6 158 1.2690 0.2092 1.2690 1.1265
No log 32.0 160 1.2980 0.1732 1.2980 1.1393
No log 32.4 162 1.3798 0.2261 1.3798 1.1747
No log 32.8 164 1.3637 0.2000 1.3637 1.1678
No log 33.2 166 1.3207 0.2294 1.3207 1.1492
No log 33.6 168 1.2652 0.2156 1.2652 1.1248
No log 34.0 170 1.2287 0.2156 1.2287 1.1085
No log 34.4 172 1.2041 0.1951 1.2041 1.0973
No log 34.8 174 1.2158 0.2156 1.2158 1.1026
No log 35.2 176 1.2458 0.2686 1.2458 1.1162
No log 35.6 178 1.2652 0.2417 1.2652 1.1248
No log 36.0 180 1.2472 0.2021 1.2472 1.1168
No log 36.4 182 1.2596 0.2417 1.2596 1.1223
No log 36.8 184 1.3396 0.3220 1.3396 1.1574
No log 37.2 186 1.4192 0.1890 1.4192 1.1913
No log 37.6 188 1.3415 0.3023 1.3415 1.1582
No log 38.0 190 1.2081 0.1850 1.2081 1.0991
No log 38.4 192 1.1992 0.2138 1.1992 1.0951
No log 38.8 194 1.1931 0.2177 1.1931 1.0923
No log 39.2 196 1.2103 0.1614 1.2103 1.1001
No log 39.6 198 1.3007 0.3543 1.3007 1.1405
No log 40.0 200 1.3698 0.2237 1.3698 1.1704
No log 40.4 202 1.3649 0.2237 1.3649 1.1683
No log 40.8 204 1.3156 0.2773 1.3156 1.1470
No log 41.2 206 1.2882 0.2792 1.2882 1.1350
No log 41.6 208 1.2519 0.1981 1.2519 1.1189
No log 42.0 210 1.2417 0.1568 1.2417 1.1143
No log 42.4 212 1.2679 0.2148 1.2679 1.1260
No log 42.8 214 1.2691 0.2514 1.2691 1.1265
No log 43.2 216 1.2513 0.1906 1.2513 1.1186
No log 43.6 218 1.3049 0.1885 1.3049 1.1423
No log 44.0 220 1.3863 0.1986 1.3863 1.1774
No log 44.4 222 1.3933 0.1848 1.3933 1.1804
No log 44.8 224 1.3778 0.1848 1.3778 1.1738
No log 45.2 226 1.3283 0.2532 1.3282 1.1525
No log 45.6 228 1.3162 0.2417 1.3162 1.1472
No log 46.0 230 1.3355 0.2451 1.3355 1.1557
No log 46.4 232 1.3092 0.1935 1.3092 1.1442
No log 46.8 234 1.3119 0.1667 1.3119 1.1454
No log 47.2 236 1.3615 0.2257 1.3615 1.1668
No log 47.6 238 1.4228 0.1718 1.4228 1.1928
No log 48.0 240 1.4343 0.1670 1.4343 1.1976
No log 48.4 242 1.3852 0.1621 1.3852 1.1769
No log 48.8 244 1.3039 0.2930 1.3039 1.1419
No log 49.2 246 1.2804 0.2930 1.2804 1.1315
No log 49.6 248 1.2742 0.2606 1.2742 1.1288
No log 50.0 250 1.2546 0.2515 1.2546 1.1201
No log 50.4 252 1.2580 0.2636 1.2580 1.1216
No log 50.8 254 1.2584 0.2762 1.2584 1.1218
No log 51.2 256 1.2324 0.2686 1.2324 1.1101
No log 51.6 258 1.2144 0.3352 1.2144 1.1020
No log 52.0 260 1.2034 0.3352 1.2034 1.0970
No log 52.4 262 1.1921 0.3352 1.1921 1.0919
No log 52.8 264 1.1997 0.3211 1.1997 1.0953
No log 53.2 266 1.2569 0.2525 1.2569 1.1211
No log 53.6 268 1.2874 0.1951 1.2874 1.1347
No log 54.0 270 1.2455 0.2195 1.2455 1.1160
No log 54.4 272 1.2100 0.3211 1.2100 1.1000
No log 54.8 274 1.2122 0.3352 1.2122 1.1010
No log 55.2 276 1.2074 0.2034 1.2074 1.0988
No log 55.6 278 1.2322 0.2076 1.2322 1.1100
No log 56.0 280 1.2712 0.1753 1.2712 1.1275
No log 56.4 282 1.2981 0.2417 1.2981 1.1394
No log 56.8 284 1.3439 0.3090 1.3439 1.1593
No log 57.2 286 1.3855 0.2223 1.3855 1.1771
No log 57.6 288 1.3767 0.2223 1.3767 1.1733
No log 58.0 290 1.3374 0.2223 1.3374 1.1565
No log 58.4 292 1.3049 0.2590 1.3049 1.1423
No log 58.8 294 1.2489 0.2610 1.2489 1.1176
No log 59.2 296 1.2167 0.1847 1.2167 1.1031
No log 59.6 298 1.2219 0.1847 1.2219 1.1054
No log 60.0 300 1.2563 0.3043 1.2563 1.1208
No log 60.4 302 1.3392 0.2261 1.3392 1.1572
No log 60.8 304 1.3909 0.1634 1.3909 1.1794
No log 61.2 306 1.3673 0.1984 1.3673 1.1693
No log 61.6 308 1.2929 0.2889 1.2929 1.1371
No log 62.0 310 1.2460 0.3400 1.2460 1.1163
No log 62.4 312 1.2152 0.2205 1.2152 1.1024
No log 62.8 314 1.2149 0.2747 1.2149 1.1022
No log 63.2 316 1.2270 0.3157 1.2270 1.1077
No log 63.6 318 1.2178 0.3157 1.2178 1.1035
No log 64.0 320 1.2148 0.3021 1.2148 1.1022
No log 64.4 322 1.1959 0.3021 1.1959 1.0936
No log 64.8 324 1.1830 0.3369 1.1830 1.0877
No log 65.2 326 1.1812 0.3157 1.1812 1.0868
No log 65.6 328 1.1712 0.3427 1.1712 1.0822
No log 66.0 330 1.1704 0.3427 1.1704 1.0819
No log 66.4 332 1.1751 0.3427 1.1751 1.0840
No log 66.8 334 1.2019 0.3021 1.2019 1.0963
No log 67.2 336 1.2312 0.3318 1.2312 1.1096
No log 67.6 338 1.2420 0.3294 1.2420 1.1144
No log 68.0 340 1.2446 0.3294 1.2446 1.1156
No log 68.4 342 1.2311 0.3278 1.2311 1.1095
No log 68.8 344 1.1948 0.3268 1.1948 1.0931
No log 69.2 346 1.1705 0.3427 1.1705 1.0819
No log 69.6 348 1.1466 0.2079 1.1466 1.0708
No log 70.0 350 1.1405 0.2079 1.1405 1.0679
No log 70.4 352 1.1400 0.2079 1.1400 1.0677
No log 70.8 354 1.1401 0.2703 1.1401 1.0677
No log 71.2 356 1.1439 0.3243 1.1439 1.0695
No log 71.6 358 1.1522 0.3520 1.1522 1.0734
No log 72.0 360 1.1776 0.3268 1.1776 1.0852
No log 72.4 362 1.1984 0.3375 1.1984 1.0947
No log 72.8 364 1.2042 0.3375 1.2042 1.0973
No log 73.2 366 1.1849 0.3268 1.1849 1.0885
No log 73.6 368 1.1581 0.3065 1.1581 1.0762
No log 74.0 370 1.1483 0.2479 1.1483 1.0716
No log 74.4 372 1.1432 0.2479 1.1432 1.0692
No log 74.8 374 1.1453 0.3427 1.1453 1.0702
No log 75.2 376 1.1585 0.3478 1.1585 1.0764
No log 75.6 378 1.1744 0.3584 1.1744 1.0837
No log 76.0 380 1.1761 0.3572 1.1761 1.0845
No log 76.4 382 1.1830 0.3436 1.1830 1.0877
No log 76.8 384 1.1807 0.3405 1.1807 1.0866
No log 77.2 386 1.1770 0.3405 1.1770 1.0849
No log 77.6 388 1.1817 0.2288 1.1817 1.0870
No log 78.0 390 1.1811 0.2288 1.1811 1.0868
No log 78.4 392 1.1727 0.2454 1.1727 1.0829
No log 78.8 394 1.1708 0.2454 1.1708 1.0820
No log 79.2 396 1.1740 0.2248 1.1740 1.0835
No log 79.6 398 1.1788 0.2248 1.1788 1.0857
No log 80.0 400 1.1685 0.2998 1.1685 1.0810
No log 80.4 402 1.1559 0.3533 1.1559 1.0751
No log 80.8 404 1.1473 0.3335 1.1473 1.0711
No log 81.2 406 1.1435 0.3352 1.1435 1.0693
No log 81.6 408 1.1435 0.3352 1.1435 1.0694
No log 82.0 410 1.1471 0.3352 1.1471 1.0710
No log 82.4 412 1.1508 0.3687 1.1508 1.0728
No log 82.8 414 1.1573 0.3547 1.1573 1.0758
No log 83.2 416 1.1679 0.3405 1.1679 1.0807
No log 83.6 418 1.1743 0.3046 1.1743 1.0836
No log 84.0 420 1.1897 0.2837 1.1897 1.0907
No log 84.4 422 1.2041 0.2978 1.2041 1.0973
No log 84.8 424 1.2023 0.3333 1.2023 1.0965
No log 85.2 426 1.1932 0.3299 1.1932 1.0923
No log 85.6 428 1.1761 0.3560 1.1761 1.0845
No log 86.0 430 1.1569 0.3369 1.1569 1.0756
No log 86.4 432 1.1464 0.3088 1.1464 1.0707
No log 86.8 434 1.1411 0.3065 1.1411 1.0682
No log 87.2 436 1.1392 0.2971 1.1392 1.0673
No log 87.6 438 1.1398 0.3065 1.1398 1.0676
No log 88.0 440 1.1441 0.3256 1.1441 1.0696
No log 88.4 442 1.1515 0.3352 1.1515 1.0731
No log 88.8 444 1.1571 0.3352 1.1571 1.0757
No log 89.2 446 1.1596 0.3211 1.1596 1.0768
No log 89.6 448 1.1588 0.3211 1.1588 1.0765
No log 90.0 450 1.1607 0.3211 1.1607 1.0773
No log 90.4 452 1.1645 0.3547 1.1645 1.0791
No log 90.8 454 1.1690 0.3165 1.1690 1.0812
No log 91.2 456 1.1739 0.3022 1.1739 1.0835
No log 91.6 458 1.1791 0.3046 1.1791 1.0858
No log 92.0 460 1.1835 0.3046 1.1835 1.0879
No log 92.4 462 1.1844 0.3022 1.1844 1.0883
No log 92.8 464 1.1847 0.3022 1.1847 1.0884
No log 93.2 466 1.1885 0.3022 1.1885 1.0902
No log 93.6 468 1.1917 0.3022 1.1917 1.0916
No log 94.0 470 1.1938 0.2810 1.1938 1.0926
No log 94.4 472 1.1929 0.2668 1.1929 1.0922
No log 94.8 474 1.1934 0.2668 1.1934 1.0924
No log 95.2 476 1.1909 0.2668 1.1909 1.0913
No log 95.6 478 1.1875 0.2810 1.1875 1.0897
No log 96.0 480 1.1852 0.3022 1.1852 1.0887
No log 96.4 482 1.1840 0.3022 1.1840 1.0881
No log 96.8 484 1.1815 0.3022 1.1815 1.0870
No log 97.2 486 1.1792 0.3022 1.1792 1.0859
No log 97.6 488 1.1761 0.3022 1.1761 1.0845
No log 98.0 490 1.1730 0.3022 1.1730 1.0830
No log 98.4 492 1.1697 0.3022 1.1697 1.0815
No log 98.8 494 1.1671 0.3022 1.1671 1.0803
No log 99.2 496 1.1653 0.2686 1.1653 1.0795
No log 99.6 498 1.1640 0.2686 1.1640 1.0789
0.2033 100.0 500 1.1634 0.2686 1.1634 1.0786

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_run3_AugV5_k1_task2_organization

Finetuned
(4019)
this model