ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k11_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: 1.1478
  • Qwk: 0.1279
  • Mse: 1.1478
  • Rmse: 1.0714

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 0.0357 2 4.5911 0.0010 4.5911 2.1427
No log 0.0714 4 2.9188 0.0038 2.9188 1.7085
No log 0.1071 6 2.0792 -0.0233 2.0792 1.4419
No log 0.1429 8 1.5089 0.0099 1.5089 1.2284
No log 0.1786 10 1.3065 0.0395 1.3065 1.1430
No log 0.2143 12 1.8370 0.0165 1.8370 1.3554
No log 0.25 14 2.0398 0.0443 2.0398 1.4282
No log 0.2857 16 1.5298 -0.0216 1.5298 1.2368
No log 0.3214 18 1.3378 0.0561 1.3378 1.1567
No log 0.3571 20 1.2856 0.1076 1.2856 1.1338
No log 0.3929 22 1.2754 0.1144 1.2754 1.1293
No log 0.4286 24 1.3630 0.0825 1.3630 1.1675
No log 0.4643 26 1.5336 -0.0686 1.5336 1.2384
No log 0.5 28 1.5081 -0.0686 1.5081 1.2280
No log 0.5357 30 1.4665 -0.0029 1.4665 1.2110
No log 0.5714 32 1.4581 0.0144 1.4581 1.2075
No log 0.6071 34 1.3423 0.1107 1.3423 1.1586
No log 0.6429 36 1.2522 0.0741 1.2522 1.1190
No log 0.6786 38 1.2631 0.0872 1.2631 1.1239
No log 0.7143 40 1.2703 0.0700 1.2703 1.1271
No log 0.75 42 1.2558 0.1370 1.2558 1.1206
No log 0.7857 44 1.2331 0.1654 1.2331 1.1105
No log 0.8214 46 1.4009 0.0600 1.4009 1.1836
No log 0.8571 48 1.5619 0.0723 1.5619 1.2498
No log 0.8929 50 1.5546 0.0403 1.5546 1.2469
No log 0.9286 52 1.3562 0.0537 1.3562 1.1645
No log 0.9643 54 1.2354 0.1968 1.2354 1.1115
No log 1.0 56 1.2177 0.1110 1.2177 1.1035
No log 1.0357 58 1.2160 0.1903 1.2160 1.1027
No log 1.0714 60 1.2238 0.1766 1.2238 1.1063
No log 1.1071 62 1.2348 0.2071 1.2348 1.1112
No log 1.1429 64 1.1876 0.3168 1.1876 1.0898
No log 1.1786 66 1.2104 0.2424 1.2104 1.1002
No log 1.2143 68 1.1545 0.3196 1.1545 1.0745
No log 1.25 70 1.4421 0.2144 1.4421 1.2009
No log 1.2857 72 1.8139 0.0543 1.8139 1.3468
No log 1.3214 74 1.8036 0.0153 1.8036 1.3430
No log 1.3571 76 1.4959 0.1698 1.4959 1.2231
No log 1.3929 78 1.1248 0.2520 1.1248 1.0606
No log 1.4286 80 1.3863 0.0575 1.3863 1.1774
No log 1.4643 82 1.6161 0.0403 1.6161 1.2713
No log 1.5 84 1.5734 0.0403 1.5734 1.2543
No log 1.5357 86 1.3879 0.0488 1.3879 1.1781
No log 1.5714 88 1.2247 0.3451 1.2247 1.1067
No log 1.6071 90 1.1918 0.0974 1.1918 1.0917
No log 1.6429 92 1.1713 0.1076 1.1713 1.0823
No log 1.6786 94 1.2172 0.1076 1.2172 1.1033
No log 1.7143 96 1.1828 0.1585 1.1828 1.0876
No log 1.75 98 1.0916 0.2464 1.0916 1.0448
No log 1.7857 100 1.1621 0.1995 1.1621 1.0780
No log 1.8214 102 1.1399 0.1995 1.1399 1.0676
No log 1.8571 104 1.0847 0.3806 1.0847 1.0415
No log 1.8929 106 1.3112 0.1675 1.3112 1.1451
No log 1.9286 108 1.2087 0.2005 1.2087 1.0994
No log 1.9643 110 0.9800 0.3838 0.9800 0.9899
No log 2.0 112 0.9726 0.3565 0.9726 0.9862
No log 2.0357 114 0.9464 0.3705 0.9464 0.9728
No log 2.0714 116 0.9824 0.4784 0.9824 0.9912
No log 2.1071 118 1.0352 0.3104 1.0352 1.0174
No log 2.1429 120 1.0478 0.3104 1.0478 1.0236
No log 2.1786 122 0.9900 0.3668 0.9900 0.9950
No log 2.2143 124 0.9246 0.4079 0.9246 0.9616
No log 2.25 126 1.0526 0.4007 1.0526 1.0260
No log 2.2857 128 1.0968 0.3657 1.0968 1.0473
No log 2.3214 130 0.9822 0.3506 0.9822 0.9911
No log 2.3571 132 0.9495 0.4512 0.9495 0.9744
No log 2.3929 134 0.9715 0.3363 0.9715 0.9856
No log 2.4286 136 1.1563 0.3648 1.1563 1.0753
No log 2.4643 138 1.1651 0.3537 1.1651 1.0794
No log 2.5 140 1.2219 0.3210 1.2219 1.1054
No log 2.5357 142 1.2594 0.3143 1.2594 1.1223
No log 2.5714 144 1.2207 0.2903 1.2207 1.1049
No log 2.6071 146 1.3597 0.3123 1.3597 1.1661
No log 2.6429 148 1.3459 0.3405 1.3459 1.1601
No log 2.6786 150 1.3276 0.3730 1.3276 1.1522
No log 2.7143 152 1.1982 0.4153 1.1982 1.0946
No log 2.75 154 1.1901 0.4063 1.1901 1.0909
No log 2.7857 156 1.4005 0.3309 1.4005 1.1834
No log 2.8214 158 1.6626 0.1967 1.6626 1.2894
No log 2.8571 160 1.5155 0.3177 1.5155 1.2310
No log 2.8929 162 1.1281 0.3705 1.1281 1.0621
No log 2.9286 164 1.1058 0.3465 1.1058 1.0516
No log 2.9643 166 1.1852 0.3620 1.1852 1.0887
No log 3.0 168 1.3697 0.3243 1.3697 1.1703
No log 3.0357 170 1.7313 0.2213 1.7313 1.3158
No log 3.0714 172 1.7465 0.1946 1.7465 1.3215
No log 3.1071 174 1.3837 0.2857 1.3837 1.1763
No log 3.1429 176 1.2458 0.2003 1.2458 1.1162
No log 3.1786 178 1.3853 0.2944 1.3853 1.1770
No log 3.2143 180 1.3590 0.2163 1.3590 1.1658
No log 3.25 182 1.2286 0.1658 1.2286 1.1084
No log 3.2857 184 1.2012 0.1747 1.2012 1.0960
No log 3.3214 186 1.1464 0.2028 1.1464 1.0707
No log 3.3571 188 1.1936 0.1747 1.1936 1.0925
No log 3.3929 190 1.3317 0.1696 1.3317 1.1540
No log 3.4286 192 1.3301 0.2574 1.3301 1.1533
No log 3.4643 194 1.3434 0.2965 1.3434 1.1591
No log 3.5 196 1.4449 0.3603 1.4449 1.2020
No log 3.5357 198 1.5833 0.2568 1.5833 1.2583
No log 3.5714 200 1.7676 0.2197 1.7676 1.3295
No log 3.6071 202 1.5518 0.3164 1.5518 1.2457
No log 3.6429 204 1.3904 0.2436 1.3904 1.1792
No log 3.6786 206 1.3874 0.1722 1.3874 1.1779
No log 3.7143 208 1.2662 0.0500 1.2662 1.1253
No log 3.75 210 1.3652 0.1447 1.3652 1.1684
No log 3.7857 212 1.5171 0.1547 1.5171 1.2317
No log 3.8214 214 1.3952 0.1533 1.3952 1.1812
No log 3.8571 216 1.1376 0.2636 1.1376 1.0666
No log 3.8929 218 1.0859 0.3660 1.0859 1.0421
No log 3.9286 220 1.1178 0.2372 1.1178 1.0572
No log 3.9643 222 1.0926 0.2967 1.0926 1.0453
No log 4.0 224 1.2411 0.1479 1.2411 1.1141
No log 4.0357 226 1.4633 0.1316 1.4633 1.2097
No log 4.0714 228 1.5165 0.0124 1.5165 1.2315
No log 4.1071 230 1.3799 0.1316 1.3799 1.1747
No log 4.1429 232 1.1776 0.2276 1.1776 1.0852
No log 4.1786 234 1.1109 0.2967 1.1109 1.0540
No log 4.2143 236 1.0986 0.2967 1.0986 1.0482
No log 4.25 238 1.1353 0.2432 1.1353 1.0655
No log 4.2857 240 1.3197 0.0778 1.3197 1.1488
No log 4.3214 242 1.4395 0.0920 1.4395 1.1998
No log 4.3571 244 1.3813 0.0778 1.3813 1.1753
No log 4.3929 246 1.2195 0.1801 1.2195 1.1043
No log 4.4286 248 1.1692 0.2119 1.1692 1.0813
No log 4.4643 250 1.2320 0.1801 1.2320 1.1099
No log 4.5 252 1.4089 0.0778 1.4089 1.1870
No log 4.5357 254 1.5038 0.0969 1.5038 1.2263
No log 4.5714 256 1.4555 0.1340 1.4555 1.2065
No log 4.6071 258 1.3321 0.1046 1.3321 1.1542
No log 4.6429 260 1.3590 0.1196 1.3590 1.1658
No log 4.6786 262 1.4468 0.1667 1.4468 1.2028
No log 4.7143 264 1.5719 0.1513 1.5719 1.2537
No log 4.75 266 1.6246 0.1559 1.6246 1.2746
No log 4.7857 268 1.5104 0.2009 1.5104 1.2290
No log 4.8214 270 1.3678 0.2163 1.3678 1.1695
No log 4.8571 272 1.2977 0.1896 1.2977 1.1391
No log 4.8929 274 1.1859 0.2108 1.1859 1.0890
No log 4.9286 276 1.2456 0.2132 1.2456 1.1161
No log 4.9643 278 1.2516 0.2132 1.2516 1.1187
No log 5.0 280 1.2386 0.2275 1.2386 1.1129
No log 5.0357 282 1.3169 0.2542 1.3169 1.1476
No log 5.0714 284 1.2584 0.2542 1.2584 1.1218
No log 5.1071 286 1.1629 0.2152 1.1629 1.0784
No log 5.1429 288 1.2175 0.2439 1.2175 1.1034
No log 5.1786 290 1.1683 0.2152 1.1683 1.0809
No log 5.2143 292 1.0816 0.2363 1.0816 1.0400
No log 5.25 294 1.0678 0.2263 1.0678 1.0333
No log 5.2857 296 1.1992 0.2041 1.1992 1.0951
No log 5.3214 298 1.2412 0.2084 1.2412 1.1141
No log 5.3571 300 1.2817 0.2212 1.2817 1.1321
No log 5.3929 302 1.4268 0.3045 1.4268 1.1945
No log 5.4286 304 1.5182 0.3143 1.5182 1.2321
No log 5.4643 306 1.3915 0.2108 1.3915 1.1796
No log 5.5 308 1.3281 0.2471 1.3281 1.1524
No log 5.5357 310 1.2540 0.1750 1.2540 1.1198
No log 5.5714 312 1.2470 0.2207 1.2470 1.1167
No log 5.6071 314 1.3693 0.1596 1.3693 1.1702
No log 5.6429 316 1.4793 0.1891 1.4793 1.2163
No log 5.6786 318 1.4354 0.1935 1.4354 1.1981
No log 5.7143 320 1.3429 0.2074 1.3429 1.1588
No log 5.75 322 1.4338 0.3087 1.4338 1.1974
No log 5.7857 324 1.5246 0.3404 1.5246 1.2347
No log 5.8214 326 1.5074 0.3521 1.5074 1.2278
No log 5.8571 328 1.3199 0.2985 1.3199 1.1489
No log 5.8929 330 1.3611 0.2985 1.3611 1.1667
No log 5.9286 332 1.5205 0.3238 1.5205 1.2331
No log 5.9643 334 1.6634 0.3471 1.6634 1.2897
No log 6.0 336 1.5886 0.2915 1.5886 1.2604
No log 6.0357 338 1.4013 0.2903 1.4013 1.1837
No log 6.0714 340 1.3131 0.2559 1.3131 1.1459
No log 6.1071 342 1.4432 0.3143 1.4432 1.2013
No log 6.1429 344 1.6203 0.2620 1.6203 1.2729
No log 6.1786 346 1.6703 0.1880 1.6703 1.2924
No log 6.2143 348 1.5205 0.2987 1.5205 1.2331
No log 6.25 350 1.3944 0.3293 1.3944 1.1808
No log 6.2857 352 1.4115 0.2301 1.4115 1.1881
No log 6.3214 354 1.4136 0.2224 1.4136 1.1889
No log 6.3571 356 1.4628 0.1753 1.4628 1.2094
No log 6.3929 358 1.6263 0.0431 1.6263 1.2753
No log 6.4286 360 1.6637 0.0957 1.6637 1.2898
No log 6.4643 362 1.5376 0.2647 1.5376 1.2400
No log 6.5 364 1.3263 0.2224 1.3263 1.1517
No log 6.5357 366 1.1696 0.1750 1.1696 1.0815
No log 6.5714 368 1.2416 0.1896 1.2416 1.1143
No log 6.6071 370 1.4192 0.3087 1.4192 1.1913
No log 6.6429 372 1.7320 0.1882 1.7320 1.3161
No log 6.6786 374 1.8526 0.1282 1.8526 1.3611
No log 6.7143 376 1.7461 0.1914 1.7461 1.3214
No log 6.75 378 1.5680 0.2841 1.5680 1.2522
No log 6.7857 380 1.3810 0.2647 1.3810 1.1751
No log 6.8214 382 1.3004 0.2938 1.3004 1.1404
No log 6.8571 384 1.3405 0.2263 1.3405 1.1578
No log 6.8929 386 1.3925 0.2184 1.3925 1.1800
No log 6.9286 388 1.4391 0.1313 1.4391 1.1996
No log 6.9643 390 1.3634 0.2051 1.3634 1.1677
No log 7.0 392 1.2010 0.1442 1.2010 1.0959
No log 7.0357 394 1.1523 0.1442 1.1523 1.0734
No log 7.0714 396 1.2124 0.2586 1.2124 1.1011
No log 7.1071 398 1.4298 0.3025 1.4298 1.1957
No log 7.1429 400 1.6419 0.2251 1.6419 1.2814
No log 7.1786 402 1.6404 0.2489 1.6404 1.2808
No log 7.2143 404 1.6119 0.2376 1.6119 1.2696
No log 7.25 406 1.4679 0.3177 1.4679 1.2116
No log 7.2857 408 1.2899 0.3249 1.2899 1.1357
No log 7.3214 410 1.1654 0.2909 1.1654 1.0795
No log 7.3571 412 1.1594 0.2909 1.1594 1.0768
No log 7.3929 414 1.1482 0.2909 1.1482 1.0716
No log 7.4286 416 1.2897 0.3416 1.2897 1.1356
No log 7.4643 418 1.5276 0.2775 1.5276 1.2360
No log 7.5 420 1.6057 0.2597 1.6057 1.2672
No log 7.5357 422 1.4827 0.2947 1.4827 1.2177
No log 7.5714 424 1.4943 0.2775 1.4943 1.2224
No log 7.6071 426 1.5299 0.2418 1.5299 1.2369
No log 7.6429 428 1.4517 0.2468 1.4517 1.2049
No log 7.6786 430 1.4557 0.2468 1.4557 1.2065
No log 7.7143 432 1.4800 0.3087 1.4800 1.2166
No log 7.75 434 1.4373 0.2857 1.4373 1.1989
No log 7.7857 436 1.5647 0.2820 1.5647 1.2509
No log 7.8214 438 1.5831 0.3026 1.5831 1.2582
No log 7.8571 440 1.5567 0.2985 1.5567 1.2477
No log 7.8929 442 1.4980 0.2309 1.4980 1.2239
No log 7.9286 444 1.4106 0.1891 1.4106 1.1877
No log 7.9643 446 1.3619 0.1795 1.3619 1.1670
No log 8.0 448 1.3255 0.1692 1.3255 1.1513
No log 8.0357 450 1.3531 0.1692 1.3531 1.1632
No log 8.0714 452 1.4192 0.1795 1.4192 1.1913
No log 8.1071 454 1.5010 0.0987 1.5010 1.2251
No log 8.1429 456 1.5427 0.1228 1.5427 1.2421
No log 8.1786 458 1.4944 0.2731 1.4944 1.2225
No log 8.2143 460 1.2972 0.2438 1.2972 1.1389
No log 8.25 462 1.2556 0.2574 1.2556 1.1205
No log 8.2857 464 1.2843 0.2634 1.2843 1.1332
No log 8.3214 466 1.3662 0.2503 1.3662 1.1689
No log 8.3571 468 1.5071 0.2468 1.5071 1.2276
No log 8.3929 470 1.6175 0.1968 1.6175 1.2718
No log 8.4286 472 1.5524 0.2163 1.5524 1.2460
No log 8.4643 474 1.4999 0.1371 1.4999 1.2247
No log 8.5 476 1.3705 0.1345 1.3705 1.1707
No log 8.5357 478 1.2094 0.1801 1.2094 1.0997
No log 8.5714 480 1.1696 0.1801 1.1696 1.0815
No log 8.6071 482 1.2243 0.1654 1.2243 1.1065
No log 8.6429 484 1.4147 0.2619 1.4147 1.1894
No log 8.6786 486 1.6083 0.2782 1.6083 1.2682
No log 8.7143 488 1.6952 0.0695 1.6952 1.3020
No log 8.75 490 1.6191 0.0586 1.6191 1.2724
No log 8.7857 492 1.4473 0.0865 1.4473 1.2030
No log 8.8214 494 1.2752 0.1315 1.2752 1.1292
No log 8.8571 496 1.1890 0.1480 1.1890 1.0904
No log 8.8929 498 1.1874 0.1480 1.1874 1.0897
0.4163 8.9286 500 1.2404 0.1500 1.2404 1.1137
0.4163 8.9643 502 1.3485 0.2173 1.3485 1.1613
0.4163 9.0 504 1.4011 0.3631 1.4011 1.1837
0.4163 9.0357 506 1.5198 0.3160 1.5198 1.2328
0.4163 9.0714 508 1.5162 0.3193 1.5162 1.2313
0.4163 9.1071 510 1.4562 0.3534 1.4562 1.2067
0.4163 9.1429 512 1.3422 0.3512 1.3422 1.1585
0.4163 9.1786 514 1.4058 0.3512 1.4058 1.1857
0.4163 9.2143 516 1.3996 0.1848 1.3996 1.1830
0.4163 9.25 518 1.3453 0.1345 1.3453 1.1599
0.4163 9.2857 520 1.3946 0.1345 1.3946 1.1809
0.4163 9.3214 522 1.3958 0.1026 1.3958 1.1814
0.4163 9.3571 524 1.3207 0.1026 1.3207 1.1492
0.4163 9.3929 526 1.1478 0.1279 1.1478 1.0714

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_run1_AugV5_k11_task2_organization

Finetuned
(4019)
this model