ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_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: 1.2589
  • Qwk: 0.2007
  • Mse: 1.2589
  • Rmse: 1.1220

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 0.0303 2 4.7154 -0.0132 4.7154 2.1715
No log 0.0606 4 2.8496 0.0205 2.8496 1.6881
No log 0.0909 6 2.0231 -0.0017 2.0231 1.4223
No log 0.1212 8 2.7365 -0.0790 2.7365 1.6542
No log 0.1515 10 2.7919 -0.0944 2.7919 1.6709
No log 0.1818 12 1.9271 0.0372 1.9271 1.3882
No log 0.2121 14 1.6524 0.0372 1.6524 1.2854
No log 0.2424 16 1.7386 0.0372 1.7386 1.3186
No log 0.2727 18 1.8868 0.0504 1.8868 1.3736
No log 0.3030 20 1.7839 0.0504 1.7839 1.3356
No log 0.3333 22 1.9224 0.0486 1.9224 1.3865
No log 0.3636 24 1.9429 0.0215 1.9429 1.3939
No log 0.3939 26 1.7292 0.0504 1.7292 1.3150
No log 0.4242 28 1.4226 0.1427 1.4226 1.1927
No log 0.4545 30 1.1721 0.2622 1.1721 1.0826
No log 0.4848 32 1.1246 0.2167 1.1246 1.0605
No log 0.5152 34 1.1449 0.2735 1.1449 1.0700
No log 0.5455 36 1.3092 0.2058 1.3092 1.1442
No log 0.5758 38 1.4379 0.1483 1.4379 1.1991
No log 0.6061 40 1.4980 0.0972 1.4980 1.2239
No log 0.6364 42 1.6250 0.0749 1.6250 1.2748
No log 0.6667 44 1.8884 0.0856 1.8884 1.3742
No log 0.6970 46 1.7702 0.1110 1.7702 1.3305
No log 0.7273 48 1.5275 0.1949 1.5275 1.2359
No log 0.7576 50 1.5674 0.1458 1.5674 1.2520
No log 0.7879 52 1.6673 0.1466 1.6673 1.2912
No log 0.8182 54 1.5401 0.2979 1.5401 1.2410
No log 0.8485 56 1.4811 0.1537 1.4811 1.2170
No log 0.8788 58 1.2783 0.1659 1.2783 1.1306
No log 0.9091 60 1.3076 0.1772 1.3076 1.1435
No log 0.9394 62 1.2889 0.2149 1.2889 1.1353
No log 0.9697 64 1.3059 0.2054 1.3059 1.1428
No log 1.0 66 1.4411 0.1016 1.4411 1.2004
No log 1.0303 68 1.6022 0.0652 1.6022 1.2658
No log 1.0606 70 1.4505 0.0984 1.4505 1.2044
No log 1.0909 72 1.3087 0.1588 1.3087 1.1440
No log 1.1212 74 1.4379 0.1055 1.4379 1.1991
No log 1.1515 76 1.3814 0.1694 1.3814 1.1753
No log 1.1818 78 1.4657 0.1694 1.4657 1.2107
No log 1.2121 80 1.4545 0.1165 1.4545 1.2060
No log 1.2424 82 1.3710 0.1165 1.3710 1.1709
No log 1.2727 84 1.2942 0.1530 1.2942 1.1376
No log 1.3030 86 1.2725 0.1959 1.2725 1.1281
No log 1.3333 88 1.2420 0.1912 1.2420 1.1144
No log 1.3636 90 1.3354 0.1851 1.3354 1.1556
No log 1.3939 92 1.4978 0.2611 1.4978 1.2238
No log 1.4242 94 1.4033 0.1995 1.4033 1.1846
No log 1.4545 96 1.3293 0.2211 1.3293 1.1530
No log 1.4848 98 1.4477 0.1222 1.4477 1.2032
No log 1.5152 100 1.5214 0.1022 1.5214 1.2335
No log 1.5455 102 1.5628 0.1891 1.5628 1.2501
No log 1.5758 104 1.4356 0.1004 1.4356 1.1982
No log 1.6061 106 1.4186 0.1869 1.4186 1.1911
No log 1.6364 108 1.3892 0.2069 1.3892 1.1786
No log 1.6667 110 1.3657 0.2457 1.3657 1.1686
No log 1.6970 112 1.2935 0.2056 1.2935 1.1373
No log 1.7273 114 1.3444 0.2405 1.3444 1.1595
No log 1.7576 116 1.3562 0.2275 1.3562 1.1646
No log 1.7879 118 1.4503 0.1942 1.4503 1.2043
No log 1.8182 120 1.3402 0.2191 1.3402 1.1577
No log 1.8485 122 1.1612 0.2438 1.1612 1.0776
No log 1.8788 124 1.0850 0.3014 1.0850 1.0416
No log 1.9091 126 1.0791 0.2785 1.0791 1.0388
No log 1.9394 128 1.1027 0.2694 1.1027 1.0501
No log 1.9697 130 1.1411 0.2504 1.1411 1.0682
No log 2.0 132 1.1829 0.2540 1.1829 1.0876
No log 2.0303 134 1.1561 0.3093 1.1561 1.0752
No log 2.0606 136 1.2045 0.2868 1.2045 1.0975
No log 2.0909 138 1.2168 0.3007 1.2168 1.1031
No log 2.1212 140 1.1790 0.3321 1.1790 1.0858
No log 2.1515 142 1.1820 0.3373 1.1820 1.0872
No log 2.1818 144 1.2822 0.2852 1.2822 1.1323
No log 2.2121 146 1.4594 0.2946 1.4594 1.2081
No log 2.2424 148 1.3764 0.2903 1.3764 1.1732
No log 2.2727 150 1.1760 0.3277 1.1760 1.0844
No log 2.3030 152 1.0723 0.2812 1.0723 1.0355
No log 2.3333 154 1.0665 0.2767 1.0665 1.0327
No log 2.3636 156 1.0961 0.3697 1.0961 1.0469
No log 2.3939 158 1.2101 0.3232 1.2101 1.1000
No log 2.4242 160 1.2183 0.3232 1.2183 1.1038
No log 2.4545 162 1.1905 0.1986 1.1905 1.0911
No log 2.4848 164 1.2109 0.1900 1.2109 1.1004
No log 2.5152 166 1.2930 0.2632 1.2930 1.1371
No log 2.5455 168 1.2811 0.2133 1.2811 1.1318
No log 2.5758 170 1.2534 0.2659 1.2534 1.1196
No log 2.6061 172 1.3792 0.3682 1.3792 1.1744
No log 2.6364 174 1.3890 0.3902 1.3890 1.1786
No log 2.6667 176 1.1642 0.3050 1.1642 1.0790
No log 2.6970 178 1.0576 0.3641 1.0576 1.0284
No log 2.7273 180 1.1611 0.3455 1.1611 1.0776
No log 2.7576 182 1.1513 0.3608 1.1513 1.0730
No log 2.7879 184 1.2575 0.1436 1.2575 1.1214
No log 2.8182 186 1.7187 0.1907 1.7187 1.3110
No log 2.8485 188 1.9149 0.2056 1.9149 1.3838
No log 2.8788 190 1.6838 0.2397 1.6838 1.2976
No log 2.9091 192 1.3886 0.1929 1.3886 1.1784
No log 2.9394 194 1.2722 0.1080 1.2722 1.1279
No log 2.9697 196 1.1701 0.1595 1.1701 1.0817
No log 3.0 198 1.1712 0.3763 1.1712 1.0822
No log 3.0303 200 1.2461 0.3657 1.2461 1.1163
No log 3.0606 202 1.2730 0.3021 1.2730 1.1283
No log 3.0909 204 1.1427 0.2546 1.1427 1.0690
No log 3.1212 206 1.1186 0.2677 1.1186 1.0576
No log 3.1515 208 1.1611 0.2805 1.1611 1.0775
No log 3.1818 210 1.3236 0.3129 1.3236 1.1505
No log 3.2121 212 1.5244 0.2928 1.5244 1.2347
No log 3.2424 214 1.4204 0.2447 1.4204 1.1918
No log 3.2727 216 1.1385 0.2657 1.1385 1.0670
No log 3.3030 218 1.0384 0.2815 1.0384 1.0190
No log 3.3333 220 1.0558 0.2618 1.0558 1.0275
No log 3.3636 222 1.1202 0.2439 1.1202 1.0584
No log 3.3939 224 1.2738 0.2062 1.2738 1.1286
No log 3.4242 226 1.5477 0.1569 1.5477 1.2441
No log 3.4545 228 1.5703 0.1857 1.5703 1.2531
No log 3.4848 230 1.4448 0.2235 1.4448 1.2020
No log 3.5152 232 1.2167 0.2672 1.2167 1.1031
No log 3.5455 234 1.1622 0.2315 1.1622 1.0781
No log 3.5758 236 1.1730 0.2624 1.1730 1.0831
No log 3.6061 238 1.2467 0.2657 1.2467 1.1165
No log 3.6364 240 1.2786 0.2961 1.2786 1.1308
No log 3.6667 242 1.3063 0.3071 1.3063 1.1429
No log 3.6970 244 1.2371 0.2961 1.2371 1.1123
No log 3.7273 246 1.2330 0.2961 1.2330 1.1104
No log 3.7576 248 1.3046 0.2325 1.3046 1.1422
No log 3.7879 250 1.4603 0.1923 1.4603 1.2084
No log 3.8182 252 1.7826 0.2362 1.7826 1.3352
No log 3.8485 254 1.8175 0.2424 1.8175 1.3482
No log 3.8788 256 1.4736 0.3126 1.4736 1.2139
No log 3.9091 258 1.1454 0.2895 1.1454 1.0702
No log 3.9394 260 1.0663 0.3310 1.0663 1.0326
No log 3.9697 262 1.0536 0.3110 1.0536 1.0264
No log 4.0 264 1.1256 0.3298 1.1256 1.0609
No log 4.0303 266 1.1866 0.3307 1.1866 1.0893
No log 4.0606 268 1.1743 0.3339 1.1743 1.0836
No log 4.0909 270 1.1455 0.3218 1.1455 1.0703
No log 4.1212 272 1.1367 0.3008 1.1367 1.0662
No log 4.1515 274 1.2685 0.2564 1.2685 1.1263
No log 4.1818 276 1.3321 0.2885 1.3321 1.1542
No log 4.2121 278 1.2238 0.2939 1.2238 1.1063
No log 4.2424 280 1.1297 0.3453 1.1297 1.0629
No log 4.2727 282 1.1622 0.3389 1.1622 1.0781
No log 4.3030 284 1.2854 0.2863 1.2854 1.1338
No log 4.3333 286 1.4001 0.2563 1.4001 1.1833
No log 4.3636 288 1.4298 0.2926 1.4298 1.1957
No log 4.3939 290 1.3282 0.2593 1.3282 1.1525
No log 4.4242 292 1.4351 0.2814 1.4351 1.1980
No log 4.4545 294 1.6998 0.2325 1.6998 1.3038
No log 4.4848 296 1.7663 0.2219 1.7663 1.3290
No log 4.5152 298 1.4678 0.2519 1.4678 1.2115
No log 4.5455 300 1.1868 0.2825 1.1868 1.0894
No log 4.5758 302 1.0773 0.3126 1.0773 1.0379
No log 4.6061 304 1.0722 0.3218 1.0722 1.0355
No log 4.6364 306 1.1428 0.3165 1.1428 1.0690
No log 4.6667 308 1.1209 0.3424 1.1209 1.0587
No log 4.6970 310 1.1283 0.3424 1.1283 1.0622
No log 4.7273 312 1.2963 0.3098 1.2963 1.1386
No log 4.7576 314 1.5152 0.3126 1.5152 1.2310
No log 4.7879 316 1.4738 0.2778 1.4738 1.2140
No log 4.8182 318 1.3367 0.2927 1.3367 1.1562
No log 4.8485 320 1.1904 0.2209 1.1904 1.0911
No log 4.8788 322 1.1557 0.2633 1.1557 1.0750
No log 4.9091 324 1.1377 0.3930 1.1377 1.0666
No log 4.9394 326 1.2081 0.2301 1.2081 1.0991
No log 4.9697 328 1.3182 0.2863 1.3182 1.1481
No log 5.0 330 1.3206 0.2783 1.3206 1.1492
No log 5.0303 332 1.2301 0.2181 1.2301 1.1091
No log 5.0606 334 1.2362 0.2181 1.2362 1.1119
No log 5.0909 336 1.3407 0.2863 1.3407 1.1579
No log 5.1212 338 1.3286 0.2863 1.3286 1.1527
No log 5.1515 340 1.2171 0.3029 1.2171 1.1032
No log 5.1818 342 1.1976 0.2900 1.1976 1.0943
No log 5.2121 344 1.2587 0.3309 1.2587 1.1219
No log 5.2424 346 1.2569 0.3309 1.2569 1.1211
No log 5.2727 348 1.1876 0.3202 1.1876 1.0898
No log 5.3030 350 1.2073 0.3314 1.2073 1.0988
No log 5.3333 352 1.2289 0.3249 1.2289 1.1085
No log 5.3636 354 1.1689 0.2896 1.1689 1.0811
No log 5.3939 356 1.1920 0.2984 1.1920 1.0918
No log 5.4242 358 1.1807 0.2984 1.1807 1.0866
No log 5.4545 360 1.1088 0.3169 1.1088 1.0530
No log 5.4848 362 1.0986 0.3648 1.0986 1.0481
No log 5.5152 364 1.1434 0.3161 1.1434 1.0693
No log 5.5455 366 1.2467 0.3227 1.2467 1.1165
No log 5.5758 368 1.2396 0.2752 1.2396 1.1134
No log 5.6061 370 1.2698 0.2791 1.2698 1.1268
No log 5.6364 372 1.2707 0.3004 1.2707 1.1272
No log 5.6667 374 1.1814 0.2220 1.1814 1.0869
No log 5.6970 376 1.1540 0.2813 1.1540 1.0743
No log 5.7273 378 1.1669 0.2561 1.1669 1.0802
No log 5.7576 380 1.2242 0.2219 1.2242 1.1064
No log 5.7879 382 1.3790 0.2715 1.3790 1.1743
No log 5.8182 384 1.3606 0.2806 1.3606 1.1665
No log 5.8485 386 1.2241 0.2304 1.2241 1.1064
No log 5.8788 388 1.1370 0.2922 1.1370 1.0663
No log 5.9091 390 1.1242 0.2680 1.1242 1.0603
No log 5.9394 392 1.2205 0.2832 1.2205 1.1048
No log 5.9697 394 1.3162 0.2983 1.3162 1.1472
No log 6.0 396 1.3469 0.3022 1.3469 1.1605
No log 6.0303 398 1.2361 0.3092 1.2361 1.1118
No log 6.0606 400 1.1789 0.2687 1.1789 1.0858
No log 6.0909 402 1.1464 0.2315 1.1465 1.0707
No log 6.1212 404 1.1964 0.2085 1.1964 1.0938
No log 6.1515 406 1.3255 0.2411 1.3255 1.1513
No log 6.1818 408 1.3986 0.2747 1.3986 1.1826
No log 6.2121 410 1.4702 0.2536 1.4702 1.2125
No log 6.2424 412 1.4205 0.2394 1.4205 1.1919
No log 6.2727 414 1.2978 0.2851 1.2978 1.1392
No log 6.3030 416 1.1898 0.2380 1.1898 1.0908
No log 6.3333 418 1.1831 0.2417 1.1831 1.0877
No log 6.3636 420 1.2763 0.2597 1.2763 1.1297
No log 6.3939 422 1.4460 0.2026 1.4460 1.2025
No log 6.4242 424 1.5092 0.2148 1.5092 1.2285
No log 6.4545 426 1.5006 0.2105 1.5006 1.2250
No log 6.4848 428 1.4675 0.2105 1.4675 1.2114
No log 6.5152 430 1.5040 0.2182 1.5040 1.2264
No log 6.5455 432 1.4698 0.1874 1.4698 1.2123
No log 6.5758 434 1.4017 0.2181 1.4017 1.1839
No log 6.6061 436 1.3355 0.2309 1.3355 1.1556
No log 6.6364 438 1.2497 0.2716 1.2497 1.1179
No log 6.6667 440 1.1810 0.2608 1.1810 1.0867
No log 6.6970 442 1.1971 0.2742 1.1971 1.0941
No log 6.7273 444 1.3209 0.2604 1.3209 1.1493
No log 6.7576 446 1.3826 0.2461 1.3826 1.1758
No log 6.7879 448 1.3022 0.2529 1.3022 1.1412
No log 6.8182 450 1.1968 0.2870 1.1968 1.0940
No log 6.8485 452 1.1781 0.2963 1.1781 1.0854
No log 6.8788 454 1.2054 0.2916 1.2054 1.0979
No log 6.9091 456 1.2135 0.2597 1.2135 1.1016
No log 6.9394 458 1.1890 0.2916 1.1890 1.0904
No log 6.9697 460 1.1656 0.2732 1.1656 1.0796
No log 7.0 462 1.1612 0.2732 1.1612 1.0776
No log 7.0303 464 1.1205 0.3081 1.1205 1.0585
No log 7.0606 466 1.1339 0.2989 1.1339 1.0649
No log 7.0909 468 1.2171 0.2270 1.2171 1.1032
No log 7.1212 470 1.3555 0.2624 1.3555 1.1642
No log 7.1515 472 1.5228 0.2554 1.5228 1.2340
No log 7.1818 474 1.5035 0.2653 1.5035 1.2262
No log 7.2121 476 1.3363 0.2350 1.3363 1.1560
No log 7.2424 478 1.1825 0.2549 1.1825 1.0874
No log 7.2727 480 1.1310 0.2685 1.1310 1.0635
No log 7.3030 482 1.1028 0.2555 1.1028 1.0501
No log 7.3333 484 1.1278 0.2501 1.1278 1.0620
No log 7.3636 486 1.2252 0.3323 1.2252 1.1069
No log 7.3939 488 1.2604 0.3005 1.2604 1.1227
No log 7.4242 490 1.2112 0.2131 1.2112 1.1005
No log 7.4545 492 1.2293 0.2044 1.2293 1.1087
No log 7.4848 494 1.2832 0.2141 1.2832 1.1328
No log 7.5152 496 1.3576 0.2690 1.3576 1.1652
No log 7.5455 498 1.4792 0.2536 1.4792 1.2162
0.3461 7.5758 500 1.4507 0.2545 1.4507 1.2045
0.3461 7.6061 502 1.3640 0.2690 1.3640 1.1679
0.3461 7.6364 504 1.3520 0.2833 1.3520 1.1628
0.3461 7.6667 506 1.2557 0.2807 1.2557 1.1206
0.3461 7.6970 508 1.2875 0.3160 1.2875 1.1347
0.3461 7.7273 510 1.2861 0.3071 1.2861 1.1340
0.3461 7.7576 512 1.1756 0.2984 1.1756 1.0843
0.3461 7.7879 514 1.0891 0.2759 1.0891 1.0436
0.3461 7.8182 516 1.0873 0.3012 1.0873 1.0427
0.3461 7.8485 518 1.1329 0.2486 1.1329 1.0644
0.3461 7.8788 520 1.2720 0.3210 1.2720 1.1278
0.3461 7.9091 522 1.3762 0.3103 1.3762 1.1731
0.3461 7.9394 524 1.3563 0.2983 1.3563 1.1646
0.3461 7.9697 526 1.2374 0.2007 1.2374 1.1124
0.3461 8.0 528 1.2512 0.2313 1.2512 1.1186
0.3461 8.0303 530 1.2322 0.2007 1.2322 1.1100
0.3461 8.0606 532 1.2272 0.2007 1.2272 1.1078
0.3461 8.0909 534 1.2589 0.2007 1.2589 1.1220

Framework versions

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