ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k2_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: 1.1540
  • Qwk: 0.2495
  • Mse: 1.1540
  • Rmse: 1.0742

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 0.2 2 4.6105 -0.0132 4.6105 2.1472
No log 0.4 4 2.6625 0.0051 2.6625 1.6317
No log 0.6 6 1.9114 0.0062 1.9114 1.3825
No log 0.8 8 2.2536 -0.0433 2.2536 1.5012
No log 1.0 10 1.6315 -0.1174 1.6315 1.2773
No log 1.2 12 1.2712 0.0611 1.2712 1.1275
No log 1.4 14 1.2253 0.1202 1.2253 1.1069
No log 1.6 16 1.2030 0.1549 1.2030 1.0968
No log 1.8 18 1.2044 0.1527 1.2044 1.0974
No log 2.0 20 1.4090 0.1257 1.4090 1.1870
No log 2.2 22 1.3394 0.1257 1.3394 1.1573
No log 2.4 24 1.2164 0.1584 1.2164 1.1029
No log 2.6 26 1.1816 0.2014 1.1816 1.0870
No log 2.8 28 1.1108 0.1959 1.1108 1.0539
No log 3.0 30 1.0465 0.3135 1.0465 1.0230
No log 3.2 32 1.1047 0.2314 1.1047 1.0511
No log 3.4 34 1.1449 0.2408 1.1449 1.0700
No log 3.6 36 1.1448 0.1911 1.1448 1.0700
No log 3.8 38 1.1986 0.2095 1.1986 1.0948
No log 4.0 40 1.3029 0.1980 1.3029 1.1414
No log 4.2 42 1.5770 0.1248 1.5770 1.2558
No log 4.4 44 1.7014 0.1935 1.7014 1.3044
No log 4.6 46 1.5806 0.1328 1.5806 1.2572
No log 4.8 48 1.4696 0.0038 1.4696 1.2123
No log 5.0 50 1.2452 0.2298 1.2452 1.1159
No log 5.2 52 1.1506 0.1968 1.1506 1.0727
No log 5.4 54 1.1547 0.2068 1.1547 1.0746
No log 5.6 56 1.0850 0.2835 1.0850 1.0416
No log 5.8 58 1.0380 0.2378 1.0380 1.0188
No log 6.0 60 1.1066 0.2589 1.1066 1.0520
No log 6.2 62 1.4603 0.1796 1.4603 1.2084
No log 6.4 64 1.7227 0.1020 1.7227 1.3125
No log 6.6 66 1.6574 0.1747 1.6574 1.2874
No log 6.8 68 1.3989 0.1848 1.3989 1.1828
No log 7.0 70 1.2567 0.2150 1.2567 1.1210
No log 7.2 72 1.1751 0.2243 1.1751 1.0840
No log 7.4 74 1.1259 0.2912 1.1259 1.0611
No log 7.6 76 1.1578 0.1830 1.1578 1.0760
No log 7.8 78 1.4456 0.1472 1.4456 1.2023
No log 8.0 80 1.8877 0.0151 1.8877 1.3739
No log 8.2 82 1.7392 0.0525 1.7392 1.3188
No log 8.4 84 1.3148 0.1958 1.3148 1.1467
No log 8.6 86 1.0541 0.2963 1.0541 1.0267
No log 8.8 88 1.0334 0.3356 1.0334 1.0166
No log 9.0 90 1.1866 0.2844 1.1866 1.0893
No log 9.2 92 1.2189 0.2191 1.2189 1.1040
No log 9.4 94 1.1763 0.2432 1.1763 1.0846
No log 9.6 96 1.0832 0.3321 1.0832 1.0408
No log 9.8 98 0.9939 0.4056 0.9939 0.9969
No log 10.0 100 0.9427 0.4016 0.9427 0.9709
No log 10.2 102 0.9336 0.4401 0.9336 0.9662
No log 10.4 104 1.0124 0.3614 1.0124 1.0062
No log 10.6 106 1.1344 0.2796 1.1344 1.0651
No log 10.8 108 1.2291 0.2780 1.2291 1.1087
No log 11.0 110 1.1851 0.3188 1.1851 1.0886
No log 11.2 112 1.0320 0.3699 1.0320 1.0159
No log 11.4 114 0.9991 0.3310 0.9991 0.9995
No log 11.6 116 1.0120 0.2714 1.0120 1.0060
No log 11.8 118 1.1087 0.2647 1.1087 1.0529
No log 12.0 120 1.3646 0.2516 1.3646 1.1682
No log 12.2 122 1.3030 0.2191 1.3030 1.1415
No log 12.4 124 1.0813 0.3210 1.0813 1.0398
No log 12.6 126 1.0713 0.3128 1.0713 1.0350
No log 12.8 128 1.2022 0.2565 1.2022 1.0965
No log 13.0 130 1.2204 0.2565 1.2204 1.1047
No log 13.2 132 1.3315 0.2522 1.3315 1.1539
No log 13.4 134 1.3288 0.2439 1.3288 1.1527
No log 13.6 136 1.0879 0.3321 1.0879 1.0430
No log 13.8 138 0.9602 0.4079 0.9602 0.9799
No log 14.0 140 0.9499 0.4620 0.9499 0.9746
No log 14.2 142 0.9397 0.3938 0.9397 0.9694
No log 14.4 144 0.9938 0.3956 0.9938 0.9969
No log 14.6 146 1.1691 0.3572 1.1691 1.0812
No log 14.8 148 1.2478 0.2673 1.2478 1.1170
No log 15.0 150 1.1472 0.3542 1.1472 1.0711
No log 15.2 152 1.0724 0.3210 1.0724 1.0356
No log 15.4 154 1.0421 0.2676 1.0421 1.0209
No log 15.6 156 1.0650 0.3113 1.0650 1.0320
No log 15.8 158 1.2065 0.2397 1.2065 1.0984
No log 16.0 160 1.2396 0.3157 1.2396 1.1134
No log 16.2 162 1.0596 0.3625 1.0596 1.0294
No log 16.4 164 1.0253 0.3897 1.0253 1.0126
No log 16.6 166 0.9702 0.4598 0.9702 0.9850
No log 16.8 168 0.9655 0.3983 0.9655 0.9826
No log 17.0 170 1.0248 0.3468 1.0248 1.0123
No log 17.2 172 1.0525 0.3415 1.0525 1.0259
No log 17.4 174 1.0461 0.3511 1.0461 1.0228
No log 17.6 176 1.1161 0.2384 1.1161 1.0565
No log 17.8 178 1.1893 0.2687 1.1893 1.0905
No log 18.0 180 1.1212 0.3100 1.1212 1.0589
No log 18.2 182 1.0384 0.3237 1.0384 1.0190
No log 18.4 184 1.0492 0.3448 1.0492 1.0243
No log 18.6 186 1.0299 0.3813 1.0299 1.0148
No log 18.8 188 1.0249 0.3908 1.0249 1.0124
No log 19.0 190 1.0169 0.3741 1.0169 1.0084
No log 19.2 192 1.0549 0.3174 1.0549 1.0271
No log 19.4 194 1.0932 0.3199 1.0932 1.0456
No log 19.6 196 1.0881 0.3294 1.0881 1.0431
No log 19.8 198 1.0745 0.3390 1.0745 1.0366
No log 20.0 200 1.0786 0.3086 1.0786 1.0386
No log 20.2 202 1.1672 0.2289 1.1672 1.0804
No log 20.4 204 1.2153 0.2527 1.2153 1.1024
No log 20.6 206 1.2285 0.2577 1.2285 1.1084
No log 20.8 208 1.2968 0.1858 1.2968 1.1388
No log 21.0 210 1.3179 0.2388 1.3179 1.1480
No log 21.2 212 1.2187 0.1990 1.2187 1.1040
No log 21.4 214 1.0971 0.3328 1.0971 1.0474
No log 21.6 216 1.0984 0.3328 1.0984 1.0481
No log 21.8 218 1.1463 0.2844 1.1463 1.0707
No log 22.0 220 1.2603 0.2417 1.2603 1.1226
No log 22.2 222 1.3335 0.3005 1.3335 1.1548
No log 22.4 224 1.2876 0.2895 1.2876 1.1347
No log 22.6 226 1.1861 0.2452 1.1861 1.0891
No log 22.8 228 1.1507 0.2942 1.1507 1.0727
No log 23.0 230 1.1444 0.2815 1.1444 1.0698
No log 23.2 232 1.1788 0.3152 1.1788 1.0857
No log 23.4 234 1.2486 0.3096 1.2486 1.1174
No log 23.6 236 1.2590 0.2797 1.2590 1.1220
No log 23.8 238 1.2874 0.2780 1.2874 1.1347
No log 24.0 240 1.3273 0.2718 1.3273 1.1521
No log 24.2 242 1.2860 0.2385 1.2860 1.1340
No log 24.4 244 1.3207 0.2385 1.3207 1.1492
No log 24.6 246 1.4641 0.2424 1.4641 1.2100
No log 24.8 248 1.4872 0.2983 1.4872 1.2195
No log 25.0 250 1.4683 0.2983 1.4683 1.2117
No log 25.2 252 1.3762 0.2807 1.3762 1.1731
No log 25.4 254 1.2385 0.2734 1.2385 1.1129
No log 25.6 256 1.1167 0.2913 1.1167 1.0567
No log 25.8 258 1.0432 0.2726 1.0432 1.0214
No log 26.0 260 1.0451 0.3113 1.0451 1.0223
No log 26.2 262 1.0982 0.3199 1.0982 1.0479
No log 26.4 264 1.2210 0.3231 1.2210 1.1050
No log 26.6 266 1.2687 0.3291 1.2687 1.1263
No log 26.8 268 1.2867 0.3005 1.2867 1.1343
No log 27.0 270 1.1829 0.2417 1.1829 1.0876
No log 27.2 272 1.0984 0.2728 1.0984 1.0481
No log 27.4 274 1.0997 0.2709 1.0997 1.0487
No log 27.6 276 1.1656 0.2311 1.1656 1.0796
No log 27.8 278 1.2026 0.2796 1.2026 1.0966
No log 28.0 280 1.1971 0.3165 1.1971 1.0941
No log 28.2 282 1.2167 0.3165 1.2167 1.1030
No log 28.4 284 1.2524 0.2870 1.2524 1.1191
No log 28.6 286 1.2420 0.3005 1.2420 1.1145
No log 28.8 288 1.1579 0.2870 1.1579 1.0761
No log 29.0 290 1.1151 0.3056 1.1151 1.0560
No log 29.2 292 1.0893 0.3243 1.0893 1.0437
No log 29.4 294 1.0773 0.3572 1.0773 1.0379
No log 29.6 296 1.0962 0.3149 1.0962 1.0470
No log 29.8 298 1.0981 0.3390 1.0981 1.0479
No log 30.0 300 1.0947 0.3527 1.0947 1.0463
No log 30.2 302 1.1276 0.3059 1.1276 1.0619
No log 30.4 304 1.1431 0.3104 1.1431 1.0691
No log 30.6 306 1.1625 0.2876 1.1625 1.0782
No log 30.8 308 1.1605 0.3397 1.1605 1.0773
No log 31.0 310 1.2289 0.3008 1.2289 1.1086
No log 31.2 312 1.3497 0.2325 1.3497 1.1618
No log 31.4 314 1.3598 0.2020 1.3598 1.1661
No log 31.6 316 1.2520 0.3466 1.2520 1.1189
No log 31.8 318 1.1119 0.3159 1.1119 1.0544
No log 32.0 320 1.0625 0.2625 1.0625 1.0308
No log 32.2 322 1.0489 0.2970 1.0489 1.0242
No log 32.4 324 1.0400 0.3437 1.0400 1.0198
No log 32.6 326 1.0844 0.3558 1.0844 1.0414
No log 32.8 328 1.2320 0.2890 1.2320 1.1099
No log 33.0 330 1.3634 0.2371 1.3634 1.1676
No log 33.2 332 1.3767 0.2237 1.3767 1.1733
No log 33.4 334 1.3163 0.2417 1.3163 1.1473
No log 33.6 336 1.2646 0.3056 1.2646 1.1245
No log 33.8 338 1.2022 0.2247 1.2022 1.0965
No log 34.0 340 1.2104 0.2247 1.2104 1.1002
No log 34.2 342 1.2456 0.2247 1.2456 1.1161
No log 34.4 344 1.2933 0.2714 1.2933 1.1373
No log 34.6 346 1.3630 0.2283 1.3630 1.1675
No log 34.8 348 1.4583 0.1790 1.4583 1.2076
No log 35.0 350 1.5412 0.1768 1.5412 1.2414
No log 35.2 352 1.5010 0.1634 1.5010 1.2251
No log 35.4 354 1.3536 0.2292 1.3536 1.1635
No log 35.6 356 1.2384 0.2718 1.2384 1.1128
No log 35.8 358 1.2021 0.2276 1.2021 1.0964
No log 36.0 360 1.2178 0.1841 1.2178 1.1035
No log 36.2 362 1.2242 0.2270 1.2242 1.1064
No log 36.4 364 1.2881 0.2937 1.2881 1.1349
No log 36.6 366 1.2950 0.2937 1.2950 1.1380
No log 36.8 368 1.2010 0.2410 1.2010 1.0959
No log 37.0 370 1.1165 0.2918 1.1165 1.0567
No log 37.2 372 1.0913 0.3205 1.0913 1.0447
No log 37.4 374 1.1208 0.3126 1.1208 1.0587
No log 37.6 376 1.1928 0.2492 1.1928 1.0921
No log 37.8 378 1.2588 0.3133 1.2588 1.1220
No log 38.0 380 1.2861 0.3047 1.2861 1.1341
No log 38.2 382 1.2052 0.2876 1.2052 1.0978
No log 38.4 384 1.1081 0.3033 1.1081 1.0527
No log 38.6 386 1.0736 0.3013 1.0736 1.0362
No log 38.8 388 1.0653 0.3486 1.0653 1.0321
No log 39.0 390 1.0799 0.3154 1.0799 1.0392
No log 39.2 392 1.1041 0.3199 1.1041 1.0507
No log 39.4 394 1.1583 0.2824 1.1583 1.0763
No log 39.6 396 1.2414 0.2937 1.2414 1.1142
No log 39.8 398 1.3008 0.3421 1.3008 1.1405
No log 40.0 400 1.2861 0.3005 1.2861 1.1340
No log 40.2 402 1.2219 0.2779 1.2219 1.1054
No log 40.4 404 1.2143 0.2452 1.2143 1.1020
No log 40.6 406 1.2302 0.2361 1.2302 1.1091
No log 40.8 408 1.2056 0.2261 1.2056 1.0980
No log 41.0 410 1.1935 0.2261 1.1935 1.0925
No log 41.2 412 1.1820 0.2261 1.1820 1.0872
No log 41.4 414 1.1537 0.2601 1.1537 1.0741
No log 41.6 416 1.1492 0.2469 1.1492 1.0720
No log 41.8 418 1.1550 0.1984 1.1550 1.0747
No log 42.0 420 1.1596 0.2040 1.1596 1.0769
No log 42.2 422 1.1491 0.2386 1.1491 1.0720
No log 42.4 424 1.1730 0.2180 1.1730 1.0830
No log 42.6 426 1.2107 0.2324 1.2107 1.1003
No log 42.8 428 1.2773 0.2570 1.2773 1.1302
No log 43.0 430 1.3067 0.2484 1.3067 1.1431
No log 43.2 432 1.2789 0.2964 1.2789 1.1309
No log 43.4 434 1.2186 0.3052 1.2186 1.1039
No log 43.6 436 1.1644 0.2824 1.1644 1.0791
No log 43.8 438 1.1274 0.3250 1.1274 1.0618
No log 44.0 440 1.1100 0.3250 1.1100 1.0536
No log 44.2 442 1.0948 0.3250 1.0948 1.0463
No log 44.4 444 1.1056 0.2963 1.1056 1.0515
No log 44.6 446 1.1242 0.2864 1.1242 1.0603
No log 44.8 448 1.1358 0.2669 1.1358 1.0657
No log 45.0 450 1.1298 0.2844 1.1298 1.0629
No log 45.2 452 1.0991 0.2897 1.0991 1.0484
No log 45.4 454 1.0700 0.2823 1.0700 1.0344
No log 45.6 456 1.0717 0.2966 1.0717 1.0352
No log 45.8 458 1.1140 0.2669 1.1140 1.0555
No log 46.0 460 1.1791 0.2702 1.1791 1.0859
No log 46.2 462 1.2885 0.2465 1.2885 1.1351
No log 46.4 464 1.3738 0.2663 1.3738 1.1721
No log 46.6 466 1.3634 0.2534 1.3634 1.1677
No log 46.8 468 1.2886 0.2417 1.2886 1.1352
No log 47.0 470 1.2064 0.2320 1.2064 1.0984
No log 47.2 472 1.1492 0.2637 1.1492 1.0720
No log 47.4 474 1.1211 0.2843 1.1211 1.0588
No log 47.6 476 1.1120 0.3328 1.1120 1.0545
No log 47.8 478 1.1178 0.3059 1.1178 1.0572
No log 48.0 480 1.1153 0.3059 1.1153 1.0561
No log 48.2 482 1.1223 0.2730 1.1223 1.0594
No log 48.4 484 1.1095 0.3390 1.1095 1.0533
No log 48.6 486 1.0877 0.3036 1.0877 1.0429
No log 48.8 488 1.0750 0.2966 1.0750 1.0368
No log 49.0 490 1.0731 0.2966 1.0731 1.0359
No log 49.2 492 1.0989 0.3328 1.0989 1.0483
No log 49.4 494 1.1403 0.2511 1.1403 1.0678
No log 49.6 496 1.1804 0.2324 1.1804 1.0865
No log 49.8 498 1.1823 0.2324 1.1823 1.0873
0.2952 50.0 500 1.1510 0.2685 1.1510 1.0728
0.2952 50.2 502 1.1010 0.3250 1.1010 1.0493
0.2952 50.4 504 1.0842 0.2966 1.0842 1.0412
0.2952 50.6 506 1.1011 0.3328 1.1011 1.0493
0.2952 50.8 508 1.1636 0.2609 1.1636 1.0787
0.2952 51.0 510 1.2450 0.2780 1.2450 1.1158
0.2952 51.2 512 1.2904 0.2601 1.2904 1.1360
0.2952 51.4 514 1.2543 0.2780 1.2543 1.1200
0.2952 51.6 516 1.2098 0.2984 1.2098 1.0999
0.2952 51.8 518 1.1606 0.2815 1.1606 1.0773
0.2952 52.0 520 1.1200 0.2843 1.1200 1.0583
0.2952 52.2 522 1.1058 0.2823 1.1058 1.0515
0.2952 52.4 524 1.1123 0.2966 1.1123 1.0546
0.2952 52.6 526 1.1127 0.2966 1.1127 1.0548
0.2952 52.8 528 1.1024 0.2966 1.1024 1.0499
0.2952 53.0 530 1.1037 0.3036 1.1037 1.0506
0.2952 53.2 532 1.1432 0.2620 1.1432 1.0692
0.2952 53.4 534 1.1959 0.2081 1.1959 1.0936
0.2952 53.6 536 1.2098 0.2524 1.2098 1.0999
0.2952 53.8 538 1.1808 0.2170 1.1808 1.0867
0.2952 54.0 540 1.1540 0.2495 1.1540 1.0742

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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k2_task2_organization

Finetuned
(4032)
this model