ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k3_task5_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: 1.0274
- Qwk: 0.1986
- Mse: 1.0274
- Rmse: 1.0136
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 | 0.25 | 2 | 4.1514 | 0.0182 | 4.1514 | 2.0375 |
| No log | 0.5 | 4 | 2.2956 | 0.0542 | 2.2956 | 1.5151 |
| No log | 0.75 | 6 | 1.7754 | 0.0318 | 1.7754 | 1.3324 |
| No log | 1.0 | 8 | 1.7704 | 0.0639 | 1.7704 | 1.3306 |
| No log | 1.25 | 10 | 1.3770 | 0.1033 | 1.3770 | 1.1735 |
| No log | 1.5 | 12 | 1.0566 | 0.3082 | 1.0566 | 1.0279 |
| No log | 1.75 | 14 | 1.1772 | 0.0938 | 1.1772 | 1.0850 |
| No log | 2.0 | 16 | 1.2745 | 0.0201 | 1.2745 | 1.1290 |
| No log | 2.25 | 18 | 1.2741 | -0.0064 | 1.2741 | 1.1288 |
| No log | 2.5 | 20 | 1.3257 | -0.0212 | 1.3257 | 1.1514 |
| No log | 2.75 | 22 | 1.3142 | 0.0075 | 1.3142 | 1.1464 |
| No log | 3.0 | 24 | 1.2565 | 0.0489 | 1.2565 | 1.1209 |
| No log | 3.25 | 26 | 1.2373 | 0.0065 | 1.2373 | 1.1124 |
| No log | 3.5 | 28 | 1.2798 | 0.1091 | 1.2798 | 1.1313 |
| No log | 3.75 | 30 | 1.2768 | 0.0462 | 1.2768 | 1.1299 |
| No log | 4.0 | 32 | 1.1643 | 0.1576 | 1.1643 | 1.0790 |
| No log | 4.25 | 34 | 1.1125 | 0.1997 | 1.1125 | 1.0548 |
| No log | 4.5 | 36 | 1.1408 | 0.1498 | 1.1408 | 1.0681 |
| No log | 4.75 | 38 | 1.1909 | 0.0584 | 1.1909 | 1.0913 |
| No log | 5.0 | 40 | 1.1800 | 0.1805 | 1.1800 | 1.0863 |
| No log | 5.25 | 42 | 1.1552 | 0.1725 | 1.1552 | 1.0748 |
| No log | 5.5 | 44 | 1.1724 | 0.0823 | 1.1724 | 1.0828 |
| No log | 5.75 | 46 | 1.2622 | -0.0112 | 1.2622 | 1.1235 |
| No log | 6.0 | 48 | 1.2964 | -0.0833 | 1.2964 | 1.1386 |
| No log | 6.25 | 50 | 1.3280 | -0.0255 | 1.3280 | 1.1524 |
| No log | 6.5 | 52 | 1.3575 | -0.0112 | 1.3575 | 1.1651 |
| No log | 6.75 | 54 | 1.4735 | -0.1798 | 1.4735 | 1.2139 |
| No log | 7.0 | 56 | 1.5852 | -0.1798 | 1.5852 | 1.2590 |
| No log | 7.25 | 58 | 1.7251 | -0.0541 | 1.7251 | 1.3134 |
| No log | 7.5 | 60 | 1.6423 | 0.0667 | 1.6423 | 1.2815 |
| No log | 7.75 | 62 | 1.4021 | 0.1663 | 1.4021 | 1.1841 |
| No log | 8.0 | 64 | 1.3872 | 0.0978 | 1.3872 | 1.1778 |
| No log | 8.25 | 66 | 1.5745 | 0.1442 | 1.5745 | 1.2548 |
| No log | 8.5 | 68 | 1.5528 | 0.1545 | 1.5528 | 1.2461 |
| No log | 8.75 | 70 | 1.3817 | 0.0920 | 1.3817 | 1.1755 |
| No log | 9.0 | 72 | 1.3118 | 0.0909 | 1.3118 | 1.1453 |
| No log | 9.25 | 74 | 1.2993 | 0.0817 | 1.2993 | 1.1399 |
| No log | 9.5 | 76 | 1.3029 | 0.1275 | 1.3029 | 1.1415 |
| No log | 9.75 | 78 | 1.2322 | 0.2125 | 1.2322 | 1.1100 |
| No log | 10.0 | 80 | 1.2489 | 0.1135 | 1.2489 | 1.1175 |
| No log | 10.25 | 82 | 1.2458 | 0.2340 | 1.2458 | 1.1162 |
| No log | 10.5 | 84 | 1.3390 | 0.1962 | 1.3390 | 1.1572 |
| No log | 10.75 | 86 | 1.5495 | 0.2391 | 1.5495 | 1.2448 |
| No log | 11.0 | 88 | 1.4669 | 0.2126 | 1.4669 | 1.2112 |
| No log | 11.25 | 90 | 1.2926 | 0.1053 | 1.2926 | 1.1369 |
| No log | 11.5 | 92 | 1.1472 | 0.0954 | 1.1472 | 1.0711 |
| No log | 11.75 | 94 | 1.0923 | 0.2492 | 1.0923 | 1.0451 |
| No log | 12.0 | 96 | 1.0790 | 0.3129 | 1.0790 | 1.0388 |
| No log | 12.25 | 98 | 1.1705 | 0.2250 | 1.1705 | 1.0819 |
| No log | 12.5 | 100 | 1.3731 | 0.2126 | 1.3731 | 1.1718 |
| No log | 12.75 | 102 | 1.3626 | 0.2424 | 1.3626 | 1.1673 |
| No log | 13.0 | 104 | 1.2653 | 0.2687 | 1.2653 | 1.1248 |
| No log | 13.25 | 106 | 1.1904 | 0.1598 | 1.1904 | 1.0911 |
| No log | 13.5 | 108 | 1.0744 | 0.2887 | 1.0744 | 1.0365 |
| No log | 13.75 | 110 | 1.0515 | 0.2887 | 1.0515 | 1.0254 |
| No log | 14.0 | 112 | 1.0941 | 0.2815 | 1.0941 | 1.0460 |
| No log | 14.25 | 114 | 1.0988 | 0.3099 | 1.0988 | 1.0482 |
| No log | 14.5 | 116 | 1.1546 | 0.1573 | 1.1546 | 1.0745 |
| No log | 14.75 | 118 | 1.2114 | 0.2206 | 1.2114 | 1.1007 |
| No log | 15.0 | 120 | 1.2237 | 0.1898 | 1.2237 | 1.1062 |
| No log | 15.25 | 122 | 1.1477 | 0.1500 | 1.1477 | 1.0713 |
| No log | 15.5 | 124 | 1.1833 | 0.1581 | 1.1833 | 1.0878 |
| No log | 15.75 | 126 | 1.2984 | 0.1652 | 1.2984 | 1.1395 |
| No log | 16.0 | 128 | 1.3074 | 0.1713 | 1.3074 | 1.1434 |
| No log | 16.25 | 130 | 1.3348 | 0.1713 | 1.3348 | 1.1553 |
| No log | 16.5 | 132 | 1.2755 | 0.2049 | 1.2755 | 1.1294 |
| No log | 16.75 | 134 | 1.2435 | 0.1928 | 1.2435 | 1.1151 |
| No log | 17.0 | 136 | 1.2141 | 0.1793 | 1.2141 | 1.1019 |
| No log | 17.25 | 138 | 1.1312 | 0.1863 | 1.1312 | 1.0636 |
| No log | 17.5 | 140 | 1.1368 | 0.1863 | 1.1368 | 1.0662 |
| No log | 17.75 | 142 | 1.1192 | 0.1863 | 1.1192 | 1.0579 |
| No log | 18.0 | 144 | 1.0994 | 0.1282 | 1.0994 | 1.0485 |
| No log | 18.25 | 146 | 1.0578 | 0.1823 | 1.0578 | 1.0285 |
| No log | 18.5 | 148 | 1.0274 | 0.2263 | 1.0274 | 1.0136 |
| No log | 18.75 | 150 | 1.1359 | 0.2195 | 1.1359 | 1.0658 |
| No log | 19.0 | 152 | 1.2416 | 0.2520 | 1.2416 | 1.1143 |
| No log | 19.25 | 154 | 1.2228 | 0.3266 | 1.2228 | 1.1058 |
| No log | 19.5 | 156 | 1.1214 | 0.2768 | 1.1214 | 1.0590 |
| No log | 19.75 | 158 | 1.0421 | 0.3577 | 1.0421 | 1.0209 |
| No log | 20.0 | 160 | 1.0161 | 0.2963 | 1.0161 | 1.0080 |
| No log | 20.25 | 162 | 0.9874 | 0.2647 | 0.9874 | 0.9937 |
| No log | 20.5 | 164 | 1.0386 | 0.0220 | 1.0386 | 1.0191 |
| No log | 20.75 | 166 | 1.1577 | 0.2149 | 1.1577 | 1.0760 |
| No log | 21.0 | 168 | 1.2361 | 0.2315 | 1.2361 | 1.1118 |
| No log | 21.25 | 170 | 1.1756 | 0.1770 | 1.1756 | 1.0843 |
| No log | 21.5 | 172 | 1.0801 | 0.0602 | 1.0801 | 1.0393 |
| No log | 21.75 | 174 | 1.0827 | 0.0602 | 1.0827 | 1.0405 |
| No log | 22.0 | 176 | 1.1772 | 0.1793 | 1.1772 | 1.0850 |
| No log | 22.25 | 178 | 1.1949 | 0.2177 | 1.1949 | 1.0931 |
| No log | 22.5 | 180 | 1.1605 | 0.2410 | 1.1605 | 1.0772 |
| No log | 22.75 | 182 | 1.1498 | 0.2026 | 1.1498 | 1.0723 |
| No log | 23.0 | 184 | 1.0364 | 0.2704 | 1.0364 | 1.0180 |
| No log | 23.25 | 186 | 0.9567 | 0.2359 | 0.9567 | 0.9781 |
| No log | 23.5 | 188 | 0.9646 | 0.2066 | 0.9646 | 0.9822 |
| No log | 23.75 | 190 | 1.0155 | 0.1434 | 1.0155 | 1.0077 |
| No log | 24.0 | 192 | 1.1835 | 0.2542 | 1.1835 | 1.0879 |
| No log | 24.25 | 194 | 1.2274 | 0.2313 | 1.2274 | 1.1079 |
| No log | 24.5 | 196 | 1.1395 | 0.2667 | 1.1395 | 1.0675 |
| No log | 24.75 | 198 | 1.0430 | 0.3590 | 1.0430 | 1.0213 |
| No log | 25.0 | 200 | 1.0649 | 0.3480 | 1.0649 | 1.0319 |
| No log | 25.25 | 202 | 1.1154 | 0.2837 | 1.1154 | 1.0561 |
| No log | 25.5 | 204 | 1.1475 | 0.2089 | 1.1475 | 1.0712 |
| No log | 25.75 | 206 | 1.0648 | 0.1202 | 1.0648 | 1.0319 |
| No log | 26.0 | 208 | 0.9959 | 0.0864 | 0.9959 | 0.9980 |
| No log | 26.25 | 210 | 0.9778 | 0.0864 | 0.9778 | 0.9888 |
| No log | 26.5 | 212 | 0.9760 | 0.1873 | 0.9760 | 0.9879 |
| No log | 26.75 | 214 | 0.9760 | 0.2553 | 0.9760 | 0.9879 |
| No log | 27.0 | 216 | 0.9893 | 0.3107 | 0.9893 | 0.9946 |
| No log | 27.25 | 218 | 1.0071 | 0.3103 | 1.0071 | 1.0036 |
| No log | 27.5 | 220 | 1.0496 | 0.3692 | 1.0496 | 1.0245 |
| No log | 27.75 | 222 | 1.1176 | 0.3396 | 1.1176 | 1.0572 |
| No log | 28.0 | 224 | 1.1143 | 0.3040 | 1.1143 | 1.0556 |
| No log | 28.25 | 226 | 1.0769 | 0.2359 | 1.0769 | 1.0377 |
| No log | 28.5 | 228 | 0.9820 | 0.2623 | 0.9820 | 0.9910 |
| No log | 28.75 | 230 | 0.9270 | 0.3631 | 0.9270 | 0.9628 |
| No log | 29.0 | 232 | 0.9276 | 0.3236 | 0.9276 | 0.9631 |
| No log | 29.25 | 234 | 0.9826 | 0.1582 | 0.9826 | 0.9913 |
| No log | 29.5 | 236 | 1.0916 | 0.1587 | 1.0916 | 1.0448 |
| No log | 29.75 | 238 | 1.1448 | 0.2772 | 1.1448 | 1.0700 |
| No log | 30.0 | 240 | 1.1553 | 0.2770 | 1.1553 | 1.0748 |
| No log | 30.25 | 242 | 1.1358 | 0.2127 | 1.1358 | 1.0657 |
| No log | 30.5 | 244 | 1.0729 | 0.2640 | 1.0729 | 1.0358 |
| No log | 30.75 | 246 | 1.0420 | 0.2432 | 1.0420 | 1.0208 |
| No log | 31.0 | 248 | 1.0516 | 0.2296 | 1.0516 | 1.0255 |
| No log | 31.25 | 250 | 1.0877 | 0.2489 | 1.0877 | 1.0429 |
| No log | 31.5 | 252 | 1.0762 | 0.2897 | 1.0762 | 1.0374 |
| No log | 31.75 | 254 | 1.0766 | 0.2812 | 1.0766 | 1.0376 |
| No log | 32.0 | 256 | 1.0305 | 0.2298 | 1.0305 | 1.0151 |
| No log | 32.25 | 258 | 0.9923 | 0.2117 | 0.9923 | 0.9962 |
| No log | 32.5 | 260 | 0.9824 | 0.2238 | 0.9824 | 0.9912 |
| No log | 32.75 | 262 | 1.0077 | 0.1474 | 1.0077 | 1.0038 |
| No log | 33.0 | 264 | 1.0429 | 0.1017 | 1.0429 | 1.0212 |
| No log | 33.25 | 266 | 1.0876 | 0.1986 | 1.0876 | 1.0429 |
| No log | 33.5 | 268 | 1.0721 | 0.2726 | 1.0721 | 1.0354 |
| No log | 33.75 | 270 | 1.0423 | 0.3333 | 1.0423 | 1.0209 |
| No log | 34.0 | 272 | 0.9580 | 0.2770 | 0.9580 | 0.9788 |
| No log | 34.25 | 274 | 0.9549 | 0.3161 | 0.9549 | 0.9772 |
| No log | 34.5 | 276 | 0.9840 | 0.2179 | 0.9840 | 0.9920 |
| No log | 34.75 | 278 | 1.0979 | 0.275 | 1.0979 | 1.0478 |
| No log | 35.0 | 280 | 1.2424 | 0.2474 | 1.2424 | 1.1146 |
| No log | 35.25 | 282 | 1.2635 | 0.1744 | 1.2635 | 1.1240 |
| No log | 35.5 | 284 | 1.2023 | 0.1407 | 1.2023 | 1.0965 |
| No log | 35.75 | 286 | 1.0793 | 0.0931 | 1.0793 | 1.0389 |
| No log | 36.0 | 288 | 0.9851 | 0.1446 | 0.9851 | 0.9925 |
| No log | 36.25 | 290 | 0.9427 | 0.2325 | 0.9427 | 0.9709 |
| No log | 36.5 | 292 | 0.9562 | 0.2200 | 0.9562 | 0.9779 |
| No log | 36.75 | 294 | 1.0124 | 0.1823 | 1.0124 | 1.0062 |
| No log | 37.0 | 296 | 1.0392 | 0.2726 | 1.0392 | 1.0194 |
| No log | 37.25 | 298 | 1.1014 | 0.2614 | 1.1014 | 1.0495 |
| No log | 37.5 | 300 | 1.0874 | 0.2308 | 1.0874 | 1.0428 |
| No log | 37.75 | 302 | 1.0717 | 0.0961 | 1.0717 | 1.0352 |
| No log | 38.0 | 304 | 1.0224 | 0.0961 | 1.0224 | 1.0112 |
| No log | 38.25 | 306 | 1.0049 | 0.1017 | 1.0049 | 1.0025 |
| No log | 38.5 | 308 | 1.0336 | 0.0587 | 1.0336 | 1.0167 |
| No log | 38.75 | 310 | 1.0643 | 0.0433 | 1.0643 | 1.0317 |
| No log | 39.0 | 312 | 1.0962 | 0.0811 | 1.0962 | 1.0470 |
| No log | 39.25 | 314 | 1.1637 | 0.1170 | 1.1637 | 1.0788 |
| No log | 39.5 | 316 | 1.2133 | 0.2686 | 1.2133 | 1.1015 |
| No log | 39.75 | 318 | 1.1714 | 0.2623 | 1.1714 | 1.0823 |
| No log | 40.0 | 320 | 1.1558 | 0.2623 | 1.1558 | 1.0751 |
| No log | 40.25 | 322 | 1.1318 | 0.2623 | 1.1318 | 1.0639 |
| No log | 40.5 | 324 | 1.1548 | 0.2495 | 1.1548 | 1.0746 |
| No log | 40.75 | 326 | 1.1208 | 0.2038 | 1.1208 | 1.0587 |
| No log | 41.0 | 328 | 1.0517 | 0.2331 | 1.0517 | 1.0255 |
| No log | 41.25 | 330 | 1.0376 | 0.1823 | 1.0376 | 1.0186 |
| No log | 41.5 | 332 | 1.0373 | 0.1823 | 1.0373 | 1.0185 |
| No log | 41.75 | 334 | 1.0764 | 0.1797 | 1.0764 | 1.0375 |
| No log | 42.0 | 336 | 1.0719 | 0.1407 | 1.0719 | 1.0353 |
| No log | 42.25 | 338 | 1.0330 | 0.1823 | 1.0330 | 1.0164 |
| No log | 42.5 | 340 | 1.0299 | 0.1474 | 1.0299 | 1.0149 |
| No log | 42.75 | 342 | 1.0686 | 0.1047 | 1.0686 | 1.0337 |
| No log | 43.0 | 344 | 1.1251 | 0.0990 | 1.1251 | 1.0607 |
| No log | 43.25 | 346 | 1.1311 | 0.0990 | 1.1311 | 1.0635 |
| No log | 43.5 | 348 | 1.1016 | 0.0990 | 1.1016 | 1.0496 |
| No log | 43.75 | 350 | 1.0196 | 0.1351 | 1.0196 | 1.0097 |
| No log | 44.0 | 352 | 0.9684 | 0.2226 | 0.9684 | 0.9841 |
| No log | 44.25 | 354 | 0.9533 | 0.2226 | 0.9533 | 0.9764 |
| No log | 44.5 | 356 | 0.9754 | 0.2674 | 0.9754 | 0.9876 |
| No log | 44.75 | 358 | 1.0466 | 0.1407 | 1.0466 | 1.0230 |
| No log | 45.0 | 360 | 1.0890 | 0.1986 | 1.0890 | 1.0435 |
| No log | 45.25 | 362 | 1.1033 | 0.2614 | 1.1033 | 1.0504 |
| No log | 45.5 | 364 | 1.0475 | 0.3021 | 1.0475 | 1.0235 |
| No log | 45.75 | 366 | 0.9630 | 0.3124 | 0.9630 | 0.9813 |
| No log | 46.0 | 368 | 0.9033 | 0.3922 | 0.9033 | 0.9504 |
| No log | 46.25 | 370 | 0.8680 | 0.4337 | 0.8680 | 0.9317 |
| No log | 46.5 | 372 | 0.8610 | 0.4086 | 0.8610 | 0.9279 |
| No log | 46.75 | 374 | 0.8687 | 0.4337 | 0.8687 | 0.9321 |
| No log | 47.0 | 376 | 0.9172 | 0.3922 | 0.9172 | 0.9577 |
| No log | 47.25 | 378 | 1.0013 | 0.2298 | 1.0013 | 1.0007 |
| No log | 47.5 | 380 | 1.0336 | 0.2416 | 1.0336 | 1.0167 |
| No log | 47.75 | 382 | 1.0108 | 0.1823 | 1.0108 | 1.0054 |
| No log | 48.0 | 384 | 0.9580 | 0.2117 | 0.9580 | 0.9788 |
| No log | 48.25 | 386 | 0.9295 | 0.3107 | 0.9295 | 0.9641 |
| No log | 48.5 | 388 | 0.9150 | 0.4468 | 0.9150 | 0.9566 |
| No log | 48.75 | 390 | 0.9364 | 0.2698 | 0.9364 | 0.9677 |
| No log | 49.0 | 392 | 0.9753 | 0.2117 | 0.9753 | 0.9876 |
| No log | 49.25 | 394 | 1.0150 | 0.1823 | 1.0150 | 1.0075 |
| No log | 49.5 | 396 | 0.9980 | 0.1474 | 0.9980 | 0.9990 |
| No log | 49.75 | 398 | 0.9399 | 0.2375 | 0.9399 | 0.9695 |
| No log | 50.0 | 400 | 0.9176 | 0.3753 | 0.9176 | 0.9579 |
| No log | 50.25 | 402 | 0.9111 | 0.3498 | 0.9111 | 0.9545 |
| No log | 50.5 | 404 | 0.9179 | 0.3348 | 0.9179 | 0.9581 |
| No log | 50.75 | 406 | 0.9322 | 0.2921 | 0.9322 | 0.9655 |
| No log | 51.0 | 408 | 0.9415 | 0.2818 | 0.9415 | 0.9703 |
| No log | 51.25 | 410 | 0.9351 | 0.3214 | 0.9351 | 0.9670 |
| No log | 51.5 | 412 | 0.9539 | 0.3107 | 0.9539 | 0.9767 |
| No log | 51.75 | 414 | 0.9882 | 0.3024 | 0.9882 | 0.9941 |
| No log | 52.0 | 416 | 0.9926 | 0.3310 | 0.9926 | 0.9963 |
| No log | 52.25 | 418 | 0.9752 | 0.2674 | 0.9752 | 0.9875 |
| No log | 52.5 | 420 | 0.9496 | 0.2698 | 0.9496 | 0.9745 |
| No log | 52.75 | 422 | 0.9497 | 0.2375 | 0.9497 | 0.9745 |
| No log | 53.0 | 424 | 0.9695 | 0.2350 | 0.9695 | 0.9846 |
| No log | 53.25 | 426 | 0.9778 | 0.2350 | 0.9778 | 0.9889 |
| No log | 53.5 | 428 | 1.0024 | 0.2325 | 1.0024 | 1.0012 |
| No log | 53.75 | 430 | 1.0141 | 0.2529 | 1.0141 | 1.0070 |
| No log | 54.0 | 432 | 1.0541 | 0.1407 | 1.0541 | 1.0267 |
| No log | 54.25 | 434 | 1.0845 | 0.1343 | 1.0845 | 1.0414 |
| No log | 54.5 | 436 | 1.1502 | 0.2577 | 1.1502 | 1.0725 |
| No log | 54.75 | 438 | 1.1731 | 0.2623 | 1.1731 | 1.0831 |
| No log | 55.0 | 440 | 1.1694 | 0.2623 | 1.1694 | 1.0814 |
| No log | 55.25 | 442 | 1.1209 | 0.2577 | 1.1209 | 1.0587 |
| No log | 55.5 | 444 | 1.0576 | 0.1654 | 1.0576 | 1.0284 |
| No log | 55.75 | 446 | 1.0170 | 0.2535 | 1.0170 | 1.0085 |
| No log | 56.0 | 448 | 1.0063 | 0.2299 | 1.0063 | 1.0032 |
| No log | 56.25 | 450 | 1.0074 | 0.2117 | 1.0074 | 1.0037 |
| No log | 56.5 | 452 | 1.0481 | 0.2051 | 1.0481 | 1.0238 |
| No log | 56.75 | 454 | 1.1020 | 0.2528 | 1.1020 | 1.0498 |
| No log | 57.0 | 456 | 1.1343 | 0.2896 | 1.1343 | 1.0650 |
| No log | 57.25 | 458 | 1.1758 | 0.2588 | 1.1758 | 1.0843 |
| No log | 57.5 | 460 | 1.1911 | 0.2495 | 1.1911 | 1.0914 |
| No log | 57.75 | 462 | 1.1696 | 0.2395 | 1.1696 | 1.0815 |
| No log | 58.0 | 464 | 1.1316 | 0.1434 | 1.1316 | 1.0638 |
| No log | 58.25 | 466 | 1.0718 | 0.0587 | 1.0718 | 1.0353 |
| No log | 58.5 | 468 | 1.0192 | 0.1017 | 1.0192 | 1.0095 |
| No log | 58.75 | 470 | 0.9665 | 0.2983 | 0.9665 | 0.9831 |
| No log | 59.0 | 472 | 0.9525 | 0.4335 | 0.9525 | 0.9760 |
| No log | 59.25 | 474 | 0.9549 | 0.4004 | 0.9549 | 0.9772 |
| No log | 59.5 | 476 | 0.9815 | 0.3675 | 0.9815 | 0.9907 |
| No log | 59.75 | 478 | 0.9895 | 0.2972 | 0.9895 | 0.9947 |
| No log | 60.0 | 480 | 0.9810 | 0.3268 | 0.9810 | 0.9904 |
| No log | 60.25 | 482 | 0.9503 | 0.4020 | 0.9503 | 0.9748 |
| No log | 60.5 | 484 | 0.9276 | 0.3569 | 0.9276 | 0.9631 |
| No log | 60.75 | 486 | 0.9173 | 0.3569 | 0.9173 | 0.9578 |
| No log | 61.0 | 488 | 0.9293 | 0.3147 | 0.9293 | 0.9640 |
| No log | 61.25 | 490 | 0.9655 | 0.1873 | 0.9655 | 0.9826 |
| No log | 61.5 | 492 | 0.9949 | 0.1017 | 0.9949 | 0.9974 |
| No log | 61.75 | 494 | 1.0558 | 0.0961 | 1.0558 | 1.0275 |
| No log | 62.0 | 496 | 1.1034 | 0.2577 | 1.1034 | 1.0504 |
| No log | 62.25 | 498 | 1.1393 | 0.2772 | 1.1393 | 1.0674 |
| 0.2174 | 62.5 | 500 | 1.1375 | 0.2623 | 1.1375 | 1.0666 |
| 0.2174 | 62.75 | 502 | 1.0986 | 0.2528 | 1.0986 | 1.0481 |
| 0.2174 | 63.0 | 504 | 1.0768 | 0.2227 | 1.0768 | 1.0377 |
| 0.2174 | 63.25 | 506 | 1.0609 | 0.2227 | 1.0609 | 1.0300 |
| 0.2174 | 63.5 | 508 | 1.0356 | 0.1986 | 1.0356 | 1.0177 |
| 0.2174 | 63.75 | 510 | 1.0274 | 0.1986 | 1.0274 | 1.0136 |
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_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k3_task5_organization
Base model
aubmindlab/bert-base-arabertv02