ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k16_task7_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: 1.5216
  • Qwk: 0.0201
  • Mse: 1.5216
  • Rmse: 1.2335

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 0.0526 2 2.6272 -0.0593 2.6272 1.6209
No log 0.1053 4 1.3533 0.0412 1.3533 1.1633
No log 0.1579 6 1.1248 -0.1866 1.1248 1.0606
No log 0.2105 8 1.2809 -0.2576 1.2809 1.1317
No log 0.2632 10 1.1955 -0.0609 1.1955 1.0934
No log 0.3158 12 1.2034 -0.1027 1.2034 1.0970
No log 0.3684 14 1.1322 0.0868 1.1322 1.0641
No log 0.4211 16 1.0782 0.0943 1.0782 1.0384
No log 0.4737 18 1.0863 0.0391 1.0863 1.0423
No log 0.5263 20 1.1633 -0.1081 1.1633 1.0786
No log 0.5789 22 1.0268 0.0419 1.0268 1.0133
No log 0.6316 24 0.9608 -0.0054 0.9608 0.9802
No log 0.6842 26 0.9309 -0.0103 0.9309 0.9648
No log 0.7368 28 0.9532 0.0208 0.9532 0.9763
No log 0.7895 30 0.9817 0.1268 0.9817 0.9908
No log 0.8421 32 1.0772 0.0958 1.0772 1.0379
No log 0.8947 34 1.0455 0.1103 1.0455 1.0225
No log 0.9474 36 1.0125 -0.0472 1.0125 1.0062
No log 1.0 38 1.3162 -0.0624 1.3162 1.1473
No log 1.0526 40 1.5613 -0.0844 1.5613 1.2495
No log 1.1053 42 1.4443 -0.0219 1.4443 1.2018
No log 1.1579 44 1.1555 -0.0579 1.1555 1.0749
No log 1.2105 46 0.9541 -0.0915 0.9541 0.9768
No log 1.2632 48 1.0257 0.1028 1.0257 1.0128
No log 1.3158 50 1.1605 -0.0201 1.1605 1.0773
No log 1.3684 52 1.2818 -0.0529 1.2818 1.1322
No log 1.4211 54 1.1967 -0.0753 1.1967 1.0939
No log 1.4737 56 1.0339 -0.0569 1.0339 1.0168
No log 1.5263 58 1.1167 -0.1355 1.1167 1.0567
No log 1.5789 60 1.0975 -0.1120 1.0975 1.0476
No log 1.6316 62 1.1324 -0.1389 1.1324 1.0641
No log 1.6842 64 1.4684 -0.1344 1.4684 1.2118
No log 1.7368 66 1.6105 -0.1020 1.6105 1.2691
No log 1.7895 68 1.4590 -0.1956 1.4590 1.2079
No log 1.8421 70 1.3797 -0.2625 1.3797 1.1746
No log 1.8947 72 1.3951 -0.1445 1.3951 1.1812
No log 1.9474 74 1.4090 -0.1745 1.4090 1.1870
No log 2.0 76 1.4591 -0.1263 1.4591 1.2079
No log 2.0526 78 1.6217 -0.0934 1.6217 1.2735
No log 2.1053 80 1.6123 -0.0973 1.6123 1.2698
No log 2.1579 82 1.4721 -0.0703 1.4721 1.2133
No log 2.2105 84 1.3864 -0.0980 1.3864 1.1775
No log 2.2632 86 1.3088 -0.0693 1.3088 1.1440
No log 2.3158 88 1.1973 0.0012 1.1973 1.0942
No log 2.3684 90 1.1401 0.0184 1.1401 1.0678
No log 2.4211 92 1.1138 0.0162 1.1138 1.0554
No log 2.4737 94 1.1471 -0.0358 1.1471 1.0710
No log 2.5263 96 1.1660 0.0445 1.1660 1.0798
No log 2.5789 98 1.1249 -0.0274 1.1249 1.0606
No log 2.6316 100 1.1856 -0.0077 1.1856 1.0889
No log 2.6842 102 1.3302 0.1004 1.3302 1.1533
No log 2.7368 104 1.4543 0.0633 1.4543 1.2059
No log 2.7895 106 1.2951 0.1479 1.2951 1.1380
No log 2.8421 108 1.0956 0.0378 1.0956 1.0467
No log 2.8947 110 1.1455 0.0327 1.1455 1.0703
No log 2.9474 112 1.3362 0.0900 1.3362 1.1559
No log 3.0 114 1.4208 0.1093 1.4208 1.1920
No log 3.0526 116 1.3002 0.0849 1.3002 1.1403
No log 3.1053 118 1.2707 -0.0670 1.2707 1.1273
No log 3.1579 120 1.2686 0.0155 1.2686 1.1263
No log 3.2105 122 1.3567 0.0802 1.3567 1.1648
No log 3.2632 124 1.4962 0.1244 1.4962 1.2232
No log 3.3158 126 1.4460 0.0881 1.4460 1.2025
No log 3.3684 128 1.3508 0.0979 1.3508 1.1622
No log 3.4211 130 1.2981 0.1031 1.2981 1.1393
No log 3.4737 132 1.1881 -0.0025 1.1881 1.0900
No log 3.5263 134 1.1407 -0.0025 1.1407 1.0680
No log 3.5789 136 1.1313 -0.0347 1.1313 1.0636
No log 3.6316 138 1.1818 0.0445 1.1818 1.0871
No log 3.6842 140 1.3569 0.1145 1.3569 1.1649
No log 3.7368 142 1.4561 0.0791 1.4561 1.2067
No log 3.7895 144 1.2293 0.0122 1.2293 1.1087
No log 3.8421 146 1.1815 0.0184 1.1815 1.0870
No log 3.8947 148 1.2707 -0.0557 1.2707 1.1273
No log 3.9474 150 1.5072 0.1044 1.5072 1.2277
No log 4.0 152 1.7639 0.1336 1.7639 1.3281
No log 4.0526 154 1.6838 0.0240 1.6838 1.2976
No log 4.1053 156 1.3476 0.1146 1.3476 1.1609
No log 4.1579 158 1.0604 -0.0619 1.0604 1.0298
No log 4.2105 160 1.0329 -0.0826 1.0329 1.0163
No log 4.2632 162 1.0057 0.0255 1.0057 1.0029
No log 4.3158 164 1.0843 0.0653 1.0843 1.0413
No log 4.3684 166 1.3021 -0.0391 1.3021 1.1411
No log 4.4211 168 1.3976 -0.0391 1.3976 1.1822
No log 4.4737 170 1.3075 -0.0027 1.3075 1.1434
No log 4.5263 172 1.2089 0.0218 1.2089 1.0995
No log 4.5789 174 1.2620 -0.0462 1.2620 1.1234
No log 4.6316 176 1.4129 0.0736 1.4129 1.1886
No log 4.6842 178 1.4863 0.0399 1.4863 1.2192
No log 4.7368 180 1.5802 -0.0149 1.5802 1.2571
No log 4.7895 182 1.5562 -0.0149 1.5562 1.2475
No log 4.8421 184 1.5297 0.0353 1.5297 1.2368
No log 4.8947 186 1.3550 0.0838 1.3550 1.1640
No log 4.9474 188 1.2241 -0.0383 1.2241 1.1064
No log 5.0 190 1.1879 -0.0383 1.1879 1.0899
No log 5.0526 192 1.2152 0.1110 1.2152 1.1024
No log 5.1053 194 1.3843 0.1568 1.3843 1.1766
No log 5.1579 196 1.4539 0.1272 1.4539 1.2058
No log 5.2105 198 1.3739 0.0727 1.3739 1.1721
No log 5.2632 200 1.3371 0.0347 1.3371 1.1563
No log 5.3158 202 1.4417 0.1093 1.4417 1.2007
No log 5.3684 204 1.4772 0.1019 1.4772 1.2154
No log 5.4211 206 1.5103 0.1364 1.5103 1.2289
No log 5.4737 208 1.3202 0.1626 1.3202 1.1490
No log 5.5263 210 1.2476 0.1422 1.2476 1.1169
No log 5.5789 212 1.3022 0.1144 1.3022 1.1411
No log 5.6316 214 1.4055 0.0704 1.4055 1.1855
No log 5.6842 216 1.6031 0.0971 1.6031 1.2661
No log 5.7368 218 1.5909 0.0531 1.5909 1.2613
No log 5.7895 220 1.3706 0.0873 1.3706 1.1707
No log 5.8421 222 1.0998 0.0683 1.0998 1.0487
No log 5.8947 224 1.0045 -0.0548 1.0045 1.0023
No log 5.9474 226 0.9858 -0.0232 0.9858 0.9929
No log 6.0 228 1.0412 0.0683 1.0412 1.0204
No log 6.0526 230 1.2110 0.1356 1.2110 1.1004
No log 6.1053 232 1.2900 0.0746 1.2900 1.1358
No log 6.1579 234 1.1768 0.1339 1.1768 1.0848
No log 6.2105 236 1.0820 0.0293 1.0820 1.0402
No log 6.2632 238 1.0496 -0.0586 1.0496 1.0245
No log 6.3158 240 1.0748 0.0332 1.0748 1.0367
No log 6.3684 242 1.1750 0.1557 1.1750 1.0840
No log 6.4211 244 1.1079 0.1623 1.1079 1.0526
No log 6.4737 246 0.9989 0.0994 0.9989 0.9995
No log 6.5263 248 1.0298 0.2094 1.0298 1.0148
No log 6.5789 250 1.2194 0.1352 1.2194 1.1043
No log 6.6316 252 1.2990 0.0925 1.2990 1.1397
No log 6.6842 254 1.2397 0.1557 1.2397 1.1134
No log 6.7368 256 1.1328 0.1422 1.1328 1.0643
No log 6.7895 258 1.1646 0.0829 1.1646 1.0792
No log 6.8421 260 1.2065 -0.0969 1.2065 1.0984
No log 6.8947 262 1.2767 0.0516 1.2767 1.1299
No log 6.9474 264 1.3506 0.0896 1.3506 1.1621
No log 7.0 266 1.4084 0.0250 1.4084 1.1867
No log 7.0526 268 1.4387 0.0250 1.4387 1.1995
No log 7.1053 270 1.3452 0.0927 1.3452 1.1598
No log 7.1579 272 1.3409 0.1115 1.3409 1.1580
No log 7.2105 274 1.3564 0.1260 1.3564 1.1646
No log 7.2632 276 1.3774 0.0976 1.3774 1.1736
No log 7.3158 278 1.3428 0.1618 1.3428 1.1588
No log 7.3684 280 1.3703 0.1320 1.3703 1.1706
No log 7.4211 282 1.3586 0.0607 1.3586 1.1656
No log 7.4737 284 1.3317 0.0607 1.3317 1.1540
No log 7.5263 286 1.3328 0.0561 1.3328 1.1545
No log 7.5789 288 1.2788 0.0929 1.2788 1.1308
No log 7.6316 290 1.3360 0.0539 1.3360 1.1559
No log 7.6842 292 1.5797 0.0708 1.5797 1.2569
No log 7.7368 294 1.7573 0.0225 1.7573 1.3256
No log 7.7895 296 1.8595 0.0225 1.8595 1.3636
No log 7.8421 298 1.6648 0.0455 1.6648 1.2903
No log 7.8947 300 1.4574 0.1278 1.4574 1.2072
No log 7.9474 302 1.3516 0.0820 1.3516 1.1626
No log 8.0 304 1.3100 0.0955 1.3100 1.1446
No log 8.0526 306 1.3089 0.1271 1.3089 1.1441
No log 8.1053 308 1.3591 0.1257 1.3591 1.1658
No log 8.1579 310 1.4105 0.1018 1.4105 1.1877
No log 8.2105 312 1.3486 0.1175 1.3486 1.1613
No log 8.2632 314 1.1931 0.1045 1.1931 1.0923
No log 8.3158 316 1.1342 0.0327 1.1342 1.0650
No log 8.3684 318 1.1787 0.1486 1.1787 1.0857
No log 8.4211 320 1.3549 0.1287 1.3549 1.1640
No log 8.4737 322 1.4294 0.1246 1.4294 1.1956
No log 8.5263 324 1.3287 0.1417 1.3287 1.1527
No log 8.5789 326 1.2734 0.2059 1.2734 1.1285
No log 8.6316 328 1.2472 0.1528 1.2472 1.1168
No log 8.6842 330 1.2534 0.2017 1.2534 1.1196
No log 8.7368 332 1.2175 0.1976 1.2175 1.1034
No log 8.7895 334 1.1991 0.2601 1.1991 1.0950
No log 8.8421 336 1.1013 0.2046 1.1013 1.0494
No log 8.8947 338 1.0782 0.1955 1.0782 1.0384
No log 8.9474 340 1.1517 0.2032 1.1517 1.0732
No log 9.0 342 1.2388 0.2100 1.2388 1.1130
No log 9.0526 344 1.2111 0.2209 1.2111 1.1005
No log 9.1053 346 1.1529 0.2343 1.1529 1.0737
No log 9.1579 348 1.1797 0.2343 1.1797 1.0862
No log 9.2105 350 1.3373 0.1561 1.3373 1.1564
No log 9.2632 352 1.4898 0.1823 1.4898 1.2206
No log 9.3158 354 1.4551 0.1823 1.4551 1.2063
No log 9.3684 356 1.2892 0.2330 1.2892 1.1354
No log 9.4211 358 1.2209 0.1827 1.2209 1.1049
No log 9.4737 360 1.1878 0.1827 1.1878 1.0898
No log 9.5263 362 1.1373 0.2259 1.1373 1.0664
No log 9.5789 364 1.1745 0.1869 1.1745 1.0838
No log 9.6316 366 1.2467 0.0866 1.2467 1.1166
No log 9.6842 368 1.2706 0.1922 1.2706 1.1272
No log 9.7368 370 1.2681 0.1680 1.2681 1.1261
No log 9.7895 372 1.2913 0.1379 1.2913 1.1364
No log 9.8421 374 1.2234 0.1109 1.2234 1.1061
No log 9.8947 376 1.2794 0.1143 1.2794 1.1311
No log 9.9474 378 1.4159 0.0733 1.4159 1.1899
No log 10.0 380 1.3992 0.0515 1.3992 1.1829
No log 10.0526 382 1.2418 0.1699 1.2418 1.1144
No log 10.1053 384 1.0707 0.1028 1.0707 1.0348
No log 10.1579 386 1.0396 0.0781 1.0396 1.0196
No log 10.2105 388 1.1039 0.1293 1.1039 1.0507
No log 10.2632 390 1.1998 0.1145 1.1998 1.0954
No log 10.3158 392 1.3749 0.0813 1.3749 1.1725
No log 10.3684 394 1.5529 0.0927 1.5529 1.2461
No log 10.4211 396 1.6228 0.1075 1.6228 1.2739
No log 10.4737 398 1.4991 0.0927 1.4991 1.2244
No log 10.5263 400 1.3037 0.0761 1.3037 1.1418
No log 10.5789 402 1.1463 0.0993 1.1463 1.0706
No log 10.6316 404 1.1016 0.0058 1.1016 1.0496
No log 10.6842 406 1.1157 -0.0320 1.1157 1.0562
No log 10.7368 408 1.1974 0.0462 1.1974 1.0943
No log 10.7895 410 1.3775 0.0921 1.3775 1.1737
No log 10.8421 412 1.4886 0.0544 1.4886 1.2201
No log 10.8947 414 1.4853 0.0829 1.4853 1.2187
No log 10.9474 416 1.3911 0.1453 1.3911 1.1795
No log 11.0 418 1.3247 0.1360 1.3247 1.1509
No log 11.0526 420 1.2653 0.1360 1.2653 1.1249
No log 11.1053 422 1.2646 0.1360 1.2646 1.1245
No log 11.1579 424 1.2685 0.0154 1.2685 1.1263
No log 11.2105 426 1.2663 -0.1056 1.2663 1.1253
No log 11.2632 428 1.2858 0.0462 1.2858 1.1339
No log 11.3158 430 1.3754 0.1145 1.3754 1.1728
No log 11.3684 432 1.3910 0.1679 1.3910 1.1794
No log 11.4211 434 1.3145 0.1265 1.3145 1.1465
No log 11.4737 436 1.1925 0.1044 1.1925 1.0920
No log 11.5263 438 1.1626 0.1332 1.1626 1.0782
No log 11.5789 440 1.1926 0.1584 1.1926 1.0921
No log 11.6316 442 1.2035 0.1178 1.2035 1.0970
No log 11.6842 444 1.2160 0.1178 1.2160 1.1027
No log 11.7368 446 1.2972 0.1653 1.2972 1.1389
No log 11.7895 448 1.5549 0.1098 1.5549 1.2470
No log 11.8421 450 1.6948 0.0566 1.6948 1.3019
No log 11.8947 452 1.6280 0.1011 1.6280 1.2759
No log 11.9474 454 1.5196 0.0949 1.5196 1.2327
No log 12.0 456 1.3540 0.0671 1.3540 1.1636
No log 12.0526 458 1.2187 0.2363 1.2187 1.1040
No log 12.1053 460 1.0734 0.2046 1.0734 1.0361
No log 12.1579 462 1.0405 0.0891 1.0405 1.0200
No log 12.2105 464 1.0814 0.1180 1.0814 1.0399
No log 12.2632 466 1.1792 0.2211 1.1792 1.0859
No log 12.3158 468 1.3373 0.1388 1.3373 1.1564
No log 12.3684 470 1.3915 0.1359 1.3915 1.1796
No log 12.4211 472 1.2989 0.2017 1.2989 1.1397
No log 12.4737 474 1.1876 0.1603 1.1876 1.0898
No log 12.5263 476 1.2592 0.1815 1.2592 1.1221
No log 12.5789 478 1.3422 0.2421 1.3422 1.1585
No log 12.6316 480 1.2959 0.1884 1.2959 1.1384
No log 12.6842 482 1.2439 0.1653 1.2439 1.1153
No log 12.7368 484 1.1140 0.1584 1.1140 1.0555
No log 12.7895 486 1.1081 0.1293 1.1081 1.0527
No log 12.8421 488 1.2119 0.1603 1.2119 1.1009
No log 12.8947 490 1.4286 0.1701 1.4286 1.1953
No log 12.9474 492 1.6398 0.0863 1.6398 1.2806
No log 13.0 494 1.6853 0.1098 1.6853 1.2982
No log 13.0526 496 1.6091 0.0949 1.6091 1.2685
No log 13.1053 498 1.4361 0.0453 1.4361 1.1984
0.3259 13.1579 500 1.3016 0.0779 1.3016 1.1409
0.3259 13.2105 502 1.2718 0.0575 1.2718 1.1277
0.3259 13.2632 504 1.3192 0.0673 1.3192 1.1486
0.3259 13.3158 506 1.4092 0.1606 1.4092 1.1871
0.3259 13.3684 508 1.5130 0.1445 1.5130 1.2300
0.3259 13.4211 510 1.4857 0.1508 1.4857 1.2189
0.3259 13.4737 512 1.3728 0.1638 1.3728 1.1717
0.3259 13.5263 514 1.3385 0.1638 1.3385 1.1570
0.3259 13.5789 516 1.3815 0.1606 1.3815 1.1754
0.3259 13.6316 518 1.4450 0.1646 1.4450 1.2021
0.3259 13.6842 520 1.4601 0.1782 1.4601 1.2083
0.3259 13.7368 522 1.3638 0.2130 1.3638 1.1678
0.3259 13.7895 524 1.2512 0.2109 1.2512 1.1186
0.3259 13.8421 526 1.2186 0.2192 1.2186 1.1039
0.3259 13.8947 528 1.2574 0.2192 1.2574 1.1213
0.3259 13.9474 530 1.2631 0.1789 1.2631 1.1239
0.3259 14.0 532 1.4203 0.1917 1.4203 1.1917
0.3259 14.0526 534 1.4799 0.1814 1.4799 1.2165
0.3259 14.1053 536 1.5447 0.1755 1.5447 1.2429
0.3259 14.1579 538 1.6538 0.0951 1.6538 1.2860
0.3259 14.2105 540 1.5808 0.0472 1.5808 1.2573
0.3259 14.2632 542 1.4312 0.1367 1.4312 1.1963
0.3259 14.3158 544 1.1936 0.2032 1.1936 1.0925
0.3259 14.3684 546 1.0483 0.2410 1.0483 1.0239
0.3259 14.4211 548 1.0373 0.2142 1.0373 1.0185
0.3259 14.4737 550 1.1436 0.2308 1.1436 1.0694
0.3259 14.5263 552 1.3117 0.2059 1.3117 1.1453
0.3259 14.5789 554 1.3648 0.2223 1.3648 1.1682
0.3259 14.6316 556 1.2660 0.2209 1.2660 1.1252
0.3259 14.6842 558 1.2117 0.2032 1.2117 1.1008
0.3259 14.7368 560 1.2640 0.2227 1.2640 1.1243
0.3259 14.7895 562 1.2589 0.2227 1.2589 1.1220
0.3259 14.8421 564 1.2401 0.2411 1.2401 1.1136
0.3259 14.8947 566 1.2666 0.2529 1.2666 1.1254
0.3259 14.9474 568 1.2995 0.1846 1.2995 1.1400
0.3259 15.0 570 1.4025 0.2031 1.4025 1.1843
0.3259 15.0526 572 1.4904 0.1275 1.4904 1.2208
0.3259 15.1053 574 1.4141 0.1784 1.4141 1.1892
0.3259 15.1579 576 1.3191 0.1784 1.3191 1.1485
0.3259 15.2105 578 1.2229 0.1671 1.2229 1.1058
0.3259 15.2632 580 1.1510 0.2411 1.1510 1.0729
0.3259 15.3158 582 1.1297 0.1542 1.1297 1.0629
0.3259 15.3684 584 1.1245 0.0623 1.1245 1.0604
0.3259 15.4211 586 1.1541 0.1254 1.1541 1.0743
0.3259 15.4737 588 1.2785 0.1394 1.2785 1.1307
0.3259 15.5263 590 1.5593 0.0826 1.5593 1.2487
0.3259 15.5789 592 1.7255 0.0865 1.7255 1.3136
0.3259 15.6316 594 1.7327 0.0655 1.7327 1.3163
0.3259 15.6842 596 1.6098 0.1145 1.6098 1.2688
0.3259 15.7368 598 1.5696 0.1195 1.5696 1.2528
0.3259 15.7895 600 1.6367 0.0704 1.6367 1.2793
0.3259 15.8421 602 1.6949 0.0290 1.6949 1.3019
0.3259 15.8947 604 1.6413 0.0057 1.6413 1.2811
0.3259 15.9474 606 1.4916 0.0057 1.4916 1.2213
0.3259 16.0 608 1.3184 0.0895 1.3184 1.1482
0.3259 16.0526 610 1.2577 0.1758 1.2577 1.1215
0.3259 16.1053 612 1.2451 0.1758 1.2451 1.1159
0.3259 16.1579 614 1.2468 0.2059 1.2468 1.1166
0.3259 16.2105 616 1.2825 0.2059 1.2825 1.1325
0.3259 16.2632 618 1.3432 0.1758 1.3432 1.1590
0.3259 16.3158 620 1.3414 0.2223 1.3414 1.1582
0.3259 16.3684 622 1.2666 0.1821 1.2666 1.1255
0.3259 16.4211 624 1.1430 0.2046 1.1430 1.0691
0.3259 16.4737 626 1.0881 0.0924 1.0881 1.0431
0.3259 16.5263 628 1.0945 0.1534 1.0945 1.0462
0.3259 16.5789 630 1.0896 0.1534 1.0896 1.0439
0.3259 16.6316 632 1.0943 0.0993 1.0943 1.0461
0.3259 16.6842 634 1.1262 0.1454 1.1262 1.0612
0.3259 16.7368 636 1.1243 0.1501 1.1243 1.0603
0.3259 16.7895 638 1.1451 0.1734 1.1451 1.0701
0.3259 16.8421 640 1.1876 0.1348 1.1876 1.0898
0.3259 16.8947 642 1.2514 0.0925 1.2514 1.1187
0.3259 16.9474 644 1.3550 0.1739 1.3550 1.1640
0.3259 17.0 646 1.4051 0.1630 1.4051 1.1854
0.3259 17.0526 648 1.4640 0.1042 1.4640 1.2099
0.3259 17.1053 650 1.5184 0.0551 1.5184 1.2322
0.3259 17.1579 652 1.5181 0.0564 1.5181 1.2321
0.3259 17.2105 654 1.3914 0.1093 1.3914 1.1796
0.3259 17.2632 656 1.2229 0.2183 1.2229 1.1059
0.3259 17.3158 658 1.1415 0.1110 1.1415 1.0684
0.3259 17.3684 660 1.0838 0.1293 1.0838 1.0411
0.3259 17.4211 662 1.0890 0.1332 1.0890 1.0436
0.3259 17.4737 664 1.1706 0.1584 1.1706 1.0820
0.3259 17.5263 666 1.2811 0.1485 1.2811 1.1319
0.3259 17.5789 668 1.4522 0.0832 1.4522 1.2051
0.3259 17.6316 670 1.6284 0.0619 1.6284 1.2761
0.3259 17.6842 672 1.6345 0.0845 1.6345 1.2785
0.3259 17.7368 674 1.5049 0.0577 1.5049 1.2268
0.3259 17.7895 676 1.3096 0.1417 1.3096 1.1444
0.3259 17.8421 678 1.1618 0.1584 1.1618 1.0779
0.3259 17.8947 680 1.1296 0.0338 1.1296 1.0628
0.3259 17.9474 682 1.1466 0.0653 1.1466 1.0708
0.3259 18.0 684 1.2110 0.1348 1.2110 1.1004
0.3259 18.0526 686 1.2509 0.1573 1.2509 1.1184
0.3259 18.1053 688 1.3272 0.1583 1.3272 1.1521
0.3259 18.1579 690 1.4979 0.1042 1.4979 1.2239
0.3259 18.2105 692 1.5777 0.0293 1.5777 1.2561
0.3259 18.2632 694 1.5916 0.0293 1.5916 1.2616
0.3259 18.3158 696 1.5494 0.0570 1.5494 1.2447
0.3259 18.3684 698 1.5091 0.0468 1.5091 1.2285
0.3259 18.4211 700 1.5216 0.0201 1.5216 1.2335

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_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k16_task7_organization

Finetuned
(4019)
this model