ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_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: 1.2696
- Qwk: 0.2817
- Mse: 1.2696
- Rmse: 1.1268
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 | 0.0206 | 2 | 4.7852 | -0.0075 | 4.7852 | 2.1875 |
| No log | 0.0412 | 4 | 2.9876 | -0.0233 | 2.9876 | 1.7285 |
| No log | 0.0619 | 6 | 2.5533 | -0.1065 | 2.5533 | 1.5979 |
| No log | 0.0825 | 8 | 1.9557 | -0.0017 | 1.9557 | 1.3985 |
| No log | 0.1031 | 10 | 1.3523 | -0.0039 | 1.3523 | 1.1629 |
| No log | 0.1237 | 12 | 1.2458 | 0.0642 | 1.2458 | 1.1161 |
| No log | 0.1443 | 14 | 1.2716 | 0.0346 | 1.2716 | 1.1277 |
| No log | 0.1649 | 16 | 1.6626 | 0.0393 | 1.6626 | 1.2894 |
| No log | 0.1856 | 18 | 1.6867 | 0.0393 | 1.6867 | 1.2987 |
| No log | 0.2062 | 20 | 1.3833 | 0.1045 | 1.3833 | 1.1761 |
| No log | 0.2268 | 22 | 1.2468 | 0.2081 | 1.2468 | 1.1166 |
| No log | 0.2474 | 24 | 1.2825 | 0.1472 | 1.2825 | 1.1325 |
| No log | 0.2680 | 26 | 1.2544 | 0.1519 | 1.2544 | 1.1200 |
| No log | 0.2887 | 28 | 1.2436 | 0.1343 | 1.2436 | 1.1152 |
| No log | 0.3093 | 30 | 1.1938 | 0.1585 | 1.1938 | 1.0926 |
| No log | 0.3299 | 32 | 1.1735 | 0.1507 | 1.1735 | 1.0833 |
| No log | 0.3505 | 34 | 1.2860 | 0.1076 | 1.2860 | 1.1340 |
| No log | 0.3711 | 36 | 1.5193 | 0.0254 | 1.5193 | 1.2326 |
| No log | 0.3918 | 38 | 1.8678 | 0.0682 | 1.8678 | 1.3667 |
| No log | 0.4124 | 40 | 1.9673 | 0.0971 | 1.9673 | 1.4026 |
| No log | 0.4330 | 42 | 1.7914 | 0.0504 | 1.7914 | 1.3384 |
| No log | 0.4536 | 44 | 1.5289 | 0.0372 | 1.5289 | 1.2365 |
| No log | 0.4742 | 46 | 1.3458 | 0.0538 | 1.3458 | 1.1601 |
| No log | 0.4948 | 48 | 1.2233 | 0.2234 | 1.2233 | 1.1060 |
| No log | 0.5155 | 50 | 1.1952 | 0.1935 | 1.1952 | 1.0933 |
| No log | 0.5361 | 52 | 1.2217 | 0.1076 | 1.2217 | 1.1053 |
| No log | 0.5567 | 54 | 1.2286 | -0.0043 | 1.2286 | 1.1084 |
| No log | 0.5773 | 56 | 1.2506 | 0.2155 | 1.2506 | 1.1183 |
| No log | 0.5979 | 58 | 1.3452 | 0.1045 | 1.3452 | 1.1598 |
| No log | 0.6186 | 60 | 1.3291 | 0.1200 | 1.3291 | 1.1529 |
| No log | 0.6392 | 62 | 1.2764 | 0.2333 | 1.2764 | 1.1298 |
| No log | 0.6598 | 64 | 1.1962 | 0.2726 | 1.1962 | 1.0937 |
| No log | 0.6804 | 66 | 1.1506 | 0.2898 | 1.1506 | 1.0727 |
| No log | 0.7010 | 68 | 1.2192 | 0.2534 | 1.2192 | 1.1042 |
| No log | 0.7216 | 70 | 1.3752 | 0.2240 | 1.3752 | 1.1727 |
| No log | 0.7423 | 72 | 1.3593 | 0.1972 | 1.3593 | 1.1659 |
| No log | 0.7629 | 74 | 1.1388 | 0.3213 | 1.1388 | 1.0671 |
| No log | 0.7835 | 76 | 1.0196 | 0.3940 | 1.0196 | 1.0098 |
| No log | 0.8041 | 78 | 1.2185 | 0.3458 | 1.2185 | 1.1039 |
| No log | 0.8247 | 80 | 1.3243 | 0.3834 | 1.3243 | 1.1508 |
| No log | 0.8454 | 82 | 1.1173 | 0.3620 | 1.1173 | 1.0570 |
| No log | 0.8660 | 84 | 0.9769 | 0.3914 | 0.9769 | 0.9884 |
| No log | 0.8866 | 86 | 1.0192 | 0.3996 | 1.0192 | 1.0096 |
| No log | 0.9072 | 88 | 1.1162 | 0.2690 | 1.1162 | 1.0565 |
| No log | 0.9278 | 90 | 1.0422 | 0.4557 | 1.0422 | 1.0209 |
| No log | 0.9485 | 92 | 1.0303 | 0.2006 | 1.0303 | 1.0150 |
| No log | 0.9691 | 94 | 1.1500 | 0.2457 | 1.1500 | 1.0724 |
| No log | 0.9897 | 96 | 1.1120 | 0.2721 | 1.1120 | 1.0545 |
| No log | 1.0103 | 98 | 0.9826 | 0.3300 | 0.9826 | 0.9913 |
| No log | 1.0309 | 100 | 1.0146 | 0.4197 | 1.0146 | 1.0073 |
| No log | 1.0515 | 102 | 1.0073 | 0.4527 | 1.0073 | 1.0036 |
| No log | 1.0722 | 104 | 1.0128 | 0.4181 | 1.0128 | 1.0064 |
| No log | 1.0928 | 106 | 1.1143 | 0.3898 | 1.1143 | 1.0556 |
| No log | 1.1134 | 108 | 1.3219 | 0.4357 | 1.3219 | 1.1497 |
| No log | 1.1340 | 110 | 1.4322 | 0.4158 | 1.4322 | 1.1968 |
| No log | 1.1546 | 112 | 1.3003 | 0.3817 | 1.3003 | 1.1403 |
| No log | 1.1753 | 114 | 1.0391 | 0.3565 | 1.0391 | 1.0194 |
| No log | 1.1959 | 116 | 1.1342 | 0.1999 | 1.1342 | 1.0650 |
| No log | 1.2165 | 118 | 1.1259 | 0.2342 | 1.1259 | 1.0611 |
| No log | 1.2371 | 120 | 1.0430 | 0.3160 | 1.0430 | 1.0213 |
| No log | 1.2577 | 122 | 1.0571 | 0.2929 | 1.0571 | 1.0281 |
| No log | 1.2784 | 124 | 1.0380 | 0.3663 | 1.0380 | 1.0188 |
| No log | 1.2990 | 126 | 1.0350 | 0.3160 | 1.0350 | 1.0174 |
| No log | 1.3196 | 128 | 1.2539 | 0.3436 | 1.2539 | 1.1198 |
| No log | 1.3402 | 130 | 1.5995 | 0.3471 | 1.5995 | 1.2647 |
| No log | 1.3608 | 132 | 1.4499 | 0.3426 | 1.4499 | 1.2041 |
| No log | 1.3814 | 134 | 1.1021 | 0.3111 | 1.1021 | 1.0498 |
| No log | 1.4021 | 136 | 1.0499 | 0.2871 | 1.0499 | 1.0247 |
| No log | 1.4227 | 138 | 1.0616 | 0.2723 | 1.0616 | 1.0303 |
| No log | 1.4433 | 140 | 1.1506 | 0.3022 | 1.1506 | 1.0726 |
| No log | 1.4639 | 142 | 1.1625 | 0.3043 | 1.1625 | 1.0782 |
| No log | 1.4845 | 144 | 1.1543 | 0.3390 | 1.1543 | 1.0744 |
| No log | 1.5052 | 146 | 1.1141 | 0.3268 | 1.1141 | 1.0555 |
| No log | 1.5258 | 148 | 1.1163 | 0.3979 | 1.1163 | 1.0565 |
| No log | 1.5464 | 150 | 1.2771 | 0.3605 | 1.2771 | 1.1301 |
| No log | 1.5670 | 152 | 1.2344 | 0.2840 | 1.2344 | 1.1110 |
| No log | 1.5876 | 154 | 1.0615 | 0.3451 | 1.0615 | 1.0303 |
| No log | 1.6082 | 156 | 1.0472 | 0.2714 | 1.0472 | 1.0233 |
| No log | 1.6289 | 158 | 1.0508 | 0.2211 | 1.0508 | 1.0251 |
| No log | 1.6495 | 160 | 1.0509 | 0.3091 | 1.0509 | 1.0251 |
| No log | 1.6701 | 162 | 1.1462 | 0.2934 | 1.1462 | 1.0706 |
| No log | 1.6907 | 164 | 1.1571 | 0.2934 | 1.1571 | 1.0757 |
| No log | 1.7113 | 166 | 1.2790 | 0.3513 | 1.2790 | 1.1310 |
| No log | 1.7320 | 168 | 1.3585 | 0.3392 | 1.3585 | 1.1656 |
| No log | 1.7526 | 170 | 1.2736 | 0.3243 | 1.2736 | 1.1285 |
| No log | 1.7732 | 172 | 1.1035 | 0.1712 | 1.1035 | 1.0505 |
| No log | 1.7938 | 174 | 1.0721 | 0.2592 | 1.0721 | 1.0354 |
| No log | 1.8144 | 176 | 1.0731 | 0.2704 | 1.0731 | 1.0359 |
| No log | 1.8351 | 178 | 1.2036 | 0.3178 | 1.2036 | 1.0971 |
| No log | 1.8557 | 180 | 1.4924 | 0.3269 | 1.4924 | 1.2216 |
| No log | 1.8763 | 182 | 1.5243 | 0.3283 | 1.5243 | 1.2346 |
| No log | 1.8969 | 184 | 1.2865 | 0.2899 | 1.2865 | 1.1342 |
| No log | 1.9175 | 186 | 1.0829 | 0.3211 | 1.0829 | 1.0406 |
| No log | 1.9381 | 188 | 1.0698 | 0.3363 | 1.0698 | 1.0343 |
| No log | 1.9588 | 190 | 1.0693 | 0.3560 | 1.0693 | 1.0341 |
| No log | 1.9794 | 192 | 1.1962 | 0.2958 | 1.1962 | 1.0937 |
| No log | 2.0 | 194 | 1.4815 | 0.3254 | 1.4815 | 1.2172 |
| No log | 2.0206 | 196 | 1.4977 | 0.3254 | 1.4977 | 1.2238 |
| No log | 2.0412 | 198 | 1.3389 | 0.3293 | 1.3389 | 1.1571 |
| No log | 2.0619 | 200 | 1.1345 | 0.2909 | 1.1345 | 1.0651 |
| No log | 2.0825 | 202 | 1.0461 | 0.2857 | 1.0461 | 1.0228 |
| No log | 2.1031 | 204 | 1.0027 | 0.3094 | 1.0027 | 1.0013 |
| No log | 2.1237 | 206 | 1.0179 | 0.3094 | 1.0179 | 1.0089 |
| No log | 2.1443 | 208 | 1.0224 | 0.3094 | 1.0224 | 1.0112 |
| No log | 2.1649 | 210 | 1.0979 | 0.2810 | 1.0979 | 1.0478 |
| No log | 2.1856 | 212 | 1.2041 | 0.2313 | 1.2041 | 1.0973 |
| No log | 2.2062 | 214 | 1.1419 | 0.2143 | 1.1419 | 1.0686 |
| No log | 2.2268 | 216 | 1.0799 | 0.1761 | 1.0799 | 1.0392 |
| No log | 2.2474 | 218 | 1.1253 | 0.1853 | 1.1253 | 1.0608 |
| No log | 2.2680 | 220 | 1.1151 | 0.2056 | 1.1151 | 1.0560 |
| No log | 2.2887 | 222 | 1.0673 | 0.3169 | 1.0673 | 1.0331 |
| No log | 2.3093 | 224 | 1.1099 | 0.2326 | 1.1099 | 1.0535 |
| No log | 2.3299 | 226 | 1.1632 | 0.2542 | 1.1632 | 1.0785 |
| No log | 2.3505 | 228 | 1.1814 | 0.2725 | 1.1814 | 1.0869 |
| No log | 2.3711 | 230 | 1.1260 | 0.2417 | 1.1260 | 1.0611 |
| No log | 2.3918 | 232 | 1.0977 | 0.2343 | 1.0977 | 1.0477 |
| No log | 2.4124 | 234 | 1.0584 | 0.1968 | 1.0584 | 1.0288 |
| No log | 2.4330 | 236 | 1.0009 | 0.2970 | 1.0009 | 1.0004 |
| No log | 2.4536 | 238 | 1.0242 | 0.3449 | 1.0242 | 1.0120 |
| No log | 2.4742 | 240 | 1.1727 | 0.2485 | 1.1727 | 1.0829 |
| No log | 2.4948 | 242 | 1.3489 | 0.4014 | 1.3489 | 1.1614 |
| No log | 2.5155 | 244 | 1.3532 | 0.3811 | 1.3532 | 1.1633 |
| No log | 2.5361 | 246 | 1.1854 | 0.3071 | 1.1854 | 1.0888 |
| No log | 2.5567 | 248 | 1.0581 | 0.2899 | 1.0581 | 1.0286 |
| No log | 2.5773 | 250 | 1.1059 | 0.2000 | 1.1059 | 1.0516 |
| No log | 2.5979 | 252 | 1.1605 | 0.2195 | 1.1605 | 1.0773 |
| No log | 2.6186 | 254 | 1.1678 | 0.2586 | 1.1678 | 1.0806 |
| No log | 2.6392 | 256 | 1.0531 | 0.2772 | 1.0531 | 1.0262 |
| No log | 2.6598 | 258 | 1.0157 | 0.3069 | 1.0157 | 1.0078 |
| No log | 2.6804 | 260 | 1.1348 | 0.3178 | 1.1348 | 1.0653 |
| No log | 2.7010 | 262 | 1.3718 | 0.4005 | 1.3718 | 1.1712 |
| No log | 2.7216 | 264 | 1.3315 | 0.3798 | 1.3315 | 1.1539 |
| No log | 2.7423 | 266 | 1.1705 | 0.3093 | 1.1705 | 1.0819 |
| No log | 2.7629 | 268 | 1.0236 | 0.2432 | 1.0236 | 1.0117 |
| No log | 2.7835 | 270 | 0.9950 | 0.2792 | 0.9950 | 0.9975 |
| No log | 2.8041 | 272 | 1.0204 | 0.2009 | 1.0204 | 1.0102 |
| No log | 2.8247 | 274 | 1.1066 | 0.3357 | 1.1066 | 1.0520 |
| No log | 2.8454 | 276 | 1.1740 | 0.3697 | 1.1740 | 1.0835 |
| No log | 2.8660 | 278 | 1.1704 | 0.3814 | 1.1704 | 1.0819 |
| No log | 2.8866 | 280 | 1.0815 | 0.3567 | 1.0815 | 1.0399 |
| No log | 2.9072 | 282 | 1.0072 | 0.2060 | 1.0072 | 1.0036 |
| No log | 2.9278 | 284 | 0.9914 | 0.3206 | 0.9914 | 0.9957 |
| No log | 2.9485 | 286 | 1.0291 | 0.2844 | 1.0291 | 1.0144 |
| No log | 2.9691 | 288 | 1.1650 | 0.3833 | 1.1650 | 1.0794 |
| No log | 2.9897 | 290 | 1.4145 | 0.3667 | 1.4145 | 1.1893 |
| No log | 3.0103 | 292 | 1.4149 | 0.3667 | 1.4149 | 1.1895 |
| No log | 3.0309 | 294 | 1.1891 | 0.3715 | 1.1891 | 1.0905 |
| No log | 3.0515 | 296 | 1.0173 | 0.3530 | 1.0173 | 1.0086 |
| No log | 3.0722 | 298 | 1.0192 | 0.3263 | 1.0192 | 1.0095 |
| No log | 3.0928 | 300 | 1.1149 | 0.2664 | 1.1149 | 1.0559 |
| No log | 3.1134 | 302 | 1.1887 | 0.2647 | 1.1887 | 1.0903 |
| No log | 3.1340 | 304 | 1.1239 | 0.2799 | 1.1239 | 1.0601 |
| No log | 3.1546 | 306 | 0.9932 | 0.2947 | 0.9932 | 0.9966 |
| No log | 3.1753 | 308 | 0.9655 | 0.3217 | 0.9655 | 0.9826 |
| No log | 3.1959 | 310 | 1.0158 | 0.2998 | 1.0158 | 1.0079 |
| No log | 3.2165 | 312 | 1.1071 | 0.2195 | 1.1071 | 1.0522 |
| No log | 3.2371 | 314 | 1.0943 | 0.1579 | 1.0943 | 1.0461 |
| No log | 3.2577 | 316 | 1.0325 | 0.1482 | 1.0325 | 1.0161 |
| No log | 3.2784 | 318 | 1.0616 | 0.1801 | 1.0616 | 1.0303 |
| No log | 3.2990 | 320 | 1.1279 | 0.2195 | 1.1279 | 1.0620 |
| No log | 3.3196 | 322 | 1.1653 | 0.2195 | 1.1653 | 1.0795 |
| No log | 3.3402 | 324 | 1.2047 | 0.1991 | 1.2047 | 1.0976 |
| No log | 3.3608 | 326 | 1.2480 | 0.2317 | 1.2480 | 1.1171 |
| No log | 3.3814 | 328 | 1.1557 | 0.2460 | 1.1557 | 1.0750 |
| No log | 3.4021 | 330 | 1.0772 | 0.2304 | 1.0772 | 1.0379 |
| No log | 3.4227 | 332 | 1.0653 | 0.2019 | 1.0653 | 1.0322 |
| No log | 3.4433 | 334 | 1.1152 | 0.1952 | 1.1152 | 1.0560 |
| No log | 3.4639 | 336 | 1.2516 | 0.2278 | 1.2516 | 1.1187 |
| No log | 3.4845 | 338 | 1.3958 | 0.2586 | 1.3958 | 1.1815 |
| No log | 3.5052 | 340 | 1.4416 | 0.1751 | 1.4416 | 1.2007 |
| No log | 3.5258 | 342 | 1.3029 | 0.2586 | 1.3029 | 1.1415 |
| No log | 3.5464 | 344 | 1.1397 | 0.2782 | 1.1397 | 1.0676 |
| No log | 3.5670 | 346 | 1.1038 | 0.3069 | 1.1038 | 1.0506 |
| No log | 3.5876 | 348 | 1.1312 | 0.2810 | 1.1312 | 1.0636 |
| No log | 3.6082 | 350 | 1.1924 | 0.2494 | 1.1924 | 1.0920 |
| No log | 3.6289 | 352 | 1.1982 | 0.2494 | 1.1982 | 1.0946 |
| No log | 3.6495 | 354 | 1.2154 | 0.2586 | 1.2154 | 1.1025 |
| No log | 3.6701 | 356 | 1.1452 | 0.2714 | 1.1452 | 1.0701 |
| No log | 3.6907 | 358 | 1.0536 | 0.2782 | 1.0536 | 1.0264 |
| No log | 3.7113 | 360 | 1.0174 | 0.3308 | 1.0174 | 1.0087 |
| No log | 3.7320 | 362 | 1.0590 | 0.3141 | 1.0590 | 1.0291 |
| No log | 3.7526 | 364 | 1.0923 | 0.3023 | 1.0923 | 1.0451 |
| No log | 3.7732 | 366 | 1.1325 | 0.2602 | 1.1325 | 1.0642 |
| No log | 3.7938 | 368 | 1.0879 | 0.2304 | 1.0879 | 1.0430 |
| No log | 3.8144 | 370 | 1.0171 | 0.2019 | 1.0171 | 1.0085 |
| No log | 3.8351 | 372 | 1.0149 | 0.2019 | 1.0149 | 1.0074 |
| No log | 3.8557 | 374 | 1.0349 | 0.2019 | 1.0349 | 1.0173 |
| No log | 3.8763 | 376 | 1.0715 | 0.2650 | 1.0715 | 1.0351 |
| No log | 3.8969 | 378 | 1.2712 | 0.3926 | 1.2712 | 1.1275 |
| No log | 3.9175 | 380 | 1.4252 | 0.3841 | 1.4252 | 1.1938 |
| No log | 3.9381 | 382 | 1.3646 | 0.4008 | 1.3646 | 1.1682 |
| No log | 3.9588 | 384 | 1.1849 | 0.2914 | 1.1849 | 1.0885 |
| No log | 3.9794 | 386 | 1.1263 | 0.2381 | 1.1263 | 1.0613 |
| No log | 4.0 | 388 | 1.0898 | 0.2490 | 1.0898 | 1.0439 |
| No log | 4.0206 | 390 | 1.0332 | 0.2219 | 1.0332 | 1.0165 |
| No log | 4.0412 | 392 | 1.0347 | 0.2899 | 1.0347 | 1.0172 |
| No log | 4.0619 | 394 | 1.1252 | 0.2884 | 1.1252 | 1.0607 |
| No log | 4.0825 | 396 | 1.2833 | 0.3922 | 1.2833 | 1.1328 |
| No log | 4.1031 | 398 | 1.4339 | 0.3659 | 1.4339 | 1.1975 |
| No log | 4.1237 | 400 | 1.5862 | 0.3297 | 1.5862 | 1.2594 |
| No log | 4.1443 | 402 | 1.5843 | 0.2782 | 1.5843 | 1.2587 |
| No log | 4.1649 | 404 | 1.4306 | 0.2929 | 1.4306 | 1.1961 |
| No log | 4.1856 | 406 | 1.1728 | 0.2980 | 1.1728 | 1.0830 |
| No log | 4.2062 | 408 | 1.0354 | 0.2119 | 1.0354 | 1.0175 |
| No log | 4.2268 | 410 | 1.0194 | 0.1667 | 1.0194 | 1.0097 |
| No log | 4.2474 | 412 | 1.0468 | 0.1969 | 1.0468 | 1.0231 |
| No log | 4.2680 | 414 | 1.1014 | 0.1701 | 1.1014 | 1.0495 |
| No log | 4.2887 | 416 | 1.2131 | 0.1692 | 1.2131 | 1.1014 |
| No log | 4.3093 | 418 | 1.2930 | 0.2817 | 1.2930 | 1.1371 |
| No log | 4.3299 | 420 | 1.2509 | 0.2519 | 1.2509 | 1.1184 |
| No log | 4.3505 | 422 | 1.2090 | 0.1903 | 1.2090 | 1.0996 |
| No log | 4.3711 | 424 | 1.2298 | 0.1750 | 1.2298 | 1.1090 |
| No log | 4.3918 | 426 | 1.3032 | 0.2519 | 1.3032 | 1.1416 |
| No log | 4.4124 | 428 | 1.3275 | 0.3316 | 1.3275 | 1.1522 |
| No log | 4.4330 | 430 | 1.3573 | 0.3316 | 1.3573 | 1.1650 |
| No log | 4.4536 | 432 | 1.3297 | 0.1991 | 1.3297 | 1.1531 |
| No log | 4.4742 | 434 | 1.2300 | 0.1282 | 1.2300 | 1.1091 |
| No log | 4.4948 | 436 | 1.1774 | 0.1214 | 1.1774 | 1.0851 |
| No log | 4.5155 | 438 | 1.0952 | 0.1343 | 1.0952 | 1.0465 |
| No log | 4.5361 | 440 | 1.0776 | 0.1919 | 1.0776 | 1.0381 |
| No log | 4.5567 | 442 | 1.0719 | 0.2331 | 1.0719 | 1.0353 |
| No log | 4.5773 | 444 | 1.1134 | 0.1712 | 1.1134 | 1.0552 |
| No log | 4.5979 | 446 | 1.2694 | 0.3316 | 1.2694 | 1.1267 |
| No log | 4.6186 | 448 | 1.3980 | 0.3574 | 1.3980 | 1.1824 |
| No log | 4.6392 | 450 | 1.4583 | 0.2929 | 1.4583 | 1.2076 |
| No log | 4.6598 | 452 | 1.3399 | 0.3562 | 1.3399 | 1.1575 |
| No log | 4.6804 | 454 | 1.1542 | 0.3158 | 1.1542 | 1.0743 |
| No log | 4.7010 | 456 | 1.0048 | 0.2801 | 1.0048 | 1.0024 |
| No log | 4.7216 | 458 | 0.9472 | 0.3263 | 0.9472 | 0.9733 |
| No log | 4.7423 | 460 | 0.9407 | 0.3652 | 0.9407 | 0.9699 |
| No log | 4.7629 | 462 | 0.9658 | 0.3602 | 0.9658 | 0.9828 |
| No log | 4.7835 | 464 | 1.0477 | 0.25 | 1.0477 | 1.0236 |
| No log | 4.8041 | 466 | 1.1839 | 0.3332 | 1.1839 | 1.0881 |
| No log | 4.8247 | 468 | 1.2819 | 0.3205 | 1.2819 | 1.1322 |
| No log | 4.8454 | 470 | 1.2963 | 0.3205 | 1.2963 | 1.1386 |
| No log | 4.8660 | 472 | 1.1819 | 0.3261 | 1.1819 | 1.0871 |
| No log | 4.8866 | 474 | 1.0795 | 0.3349 | 1.0795 | 1.0390 |
| No log | 4.9072 | 476 | 1.1014 | 0.3438 | 1.1014 | 1.0495 |
| No log | 4.9278 | 478 | 1.1918 | 0.3093 | 1.1918 | 1.0917 |
| No log | 4.9485 | 480 | 1.3608 | 0.3205 | 1.3608 | 1.1665 |
| No log | 4.9691 | 482 | 1.3687 | 0.3205 | 1.3687 | 1.1699 |
| No log | 4.9897 | 484 | 1.2853 | 0.3093 | 1.2853 | 1.1337 |
| No log | 5.0103 | 486 | 1.1545 | 0.3071 | 1.1545 | 1.0745 |
| No log | 5.0309 | 488 | 1.1350 | 0.2790 | 1.1350 | 1.0654 |
| No log | 5.0515 | 490 | 1.1156 | 0.2278 | 1.1156 | 1.0562 |
| No log | 5.0722 | 492 | 1.1649 | 0.2790 | 1.1649 | 1.0793 |
| No log | 5.0928 | 494 | 1.2677 | 0.3071 | 1.2677 | 1.1259 |
| No log | 5.1134 | 496 | 1.3530 | 0.2736 | 1.3530 | 1.1632 |
| No log | 5.1340 | 498 | 1.3351 | 0.2736 | 1.3351 | 1.1555 |
| 0.3806 | 5.1546 | 500 | 1.2252 | 0.3071 | 1.2252 | 1.1069 |
| 0.3806 | 5.1753 | 502 | 1.1011 | 0.2184 | 1.1011 | 1.0493 |
| 0.3806 | 5.1959 | 504 | 1.0352 | 0.2733 | 1.0352 | 1.0175 |
| 0.3806 | 5.2165 | 506 | 1.0370 | 0.1860 | 1.0370 | 1.0183 |
| 0.3806 | 5.2371 | 508 | 1.1391 | 0.2278 | 1.1391 | 1.0673 |
| 0.3806 | 5.2577 | 510 | 1.2696 | 0.2817 | 1.2696 | 1.1268 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_task2_organization
Base model
aubmindlab/bert-base-arabertv02