ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k16_task3_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: 0.8114
- Qwk: 0.0713
- Mse: 0.8114
- Rmse: 0.9008
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 | 0.0244 | 2 | 4.7164 | 0.0083 | 4.7164 | 2.1717 |
No log | 0.0488 | 4 | 2.4229 | -0.0316 | 2.4229 | 1.5566 |
No log | 0.0732 | 6 | 1.0658 | -0.1278 | 1.0658 | 1.0324 |
No log | 0.0976 | 8 | 0.8153 | -0.0331 | 0.8153 | 0.9029 |
No log | 0.1220 | 10 | 1.2203 | -0.0065 | 1.2203 | 1.1047 |
No log | 0.1463 | 12 | 2.1113 | 0.0104 | 2.1113 | 1.4530 |
No log | 0.1707 | 14 | 1.2538 | -0.0234 | 1.2538 | 1.1197 |
No log | 0.1951 | 16 | 0.8889 | 0.0111 | 0.8889 | 0.9428 |
No log | 0.2195 | 18 | 0.6748 | 0.0909 | 0.6748 | 0.8215 |
No log | 0.2439 | 20 | 0.6564 | 0.2144 | 0.6564 | 0.8102 |
No log | 0.2683 | 22 | 0.7071 | 0.0260 | 0.7071 | 0.8409 |
No log | 0.2927 | 24 | 1.0003 | -0.0245 | 1.0003 | 1.0001 |
No log | 0.3171 | 26 | 1.1808 | 0.1087 | 1.1808 | 1.0866 |
No log | 0.3415 | 28 | 0.8787 | 0.1025 | 0.8787 | 0.9374 |
No log | 0.3659 | 30 | 0.7531 | 0.0783 | 0.7531 | 0.8678 |
No log | 0.3902 | 32 | 0.8698 | 0.1414 | 0.8698 | 0.9326 |
No log | 0.4146 | 34 | 0.8751 | 0.1672 | 0.8751 | 0.9355 |
No log | 0.4390 | 36 | 0.9326 | 0.2027 | 0.9326 | 0.9657 |
No log | 0.4634 | 38 | 1.6468 | 0.0557 | 1.6468 | 1.2833 |
No log | 0.4878 | 40 | 1.2917 | 0.1224 | 1.2917 | 1.1365 |
No log | 0.5122 | 42 | 0.8968 | 0.1472 | 0.8968 | 0.9470 |
No log | 0.5366 | 44 | 0.9122 | 0.1631 | 0.9122 | 0.9551 |
No log | 0.5610 | 46 | 0.8044 | 0.0097 | 0.8044 | 0.8969 |
No log | 0.5854 | 48 | 0.7967 | 0.1094 | 0.7967 | 0.8926 |
No log | 0.6098 | 50 | 0.8148 | 0.0455 | 0.8148 | 0.9027 |
No log | 0.6341 | 52 | 0.8754 | 0.0 | 0.8754 | 0.9356 |
No log | 0.6585 | 54 | 0.9647 | 0.0563 | 0.9647 | 0.9822 |
No log | 0.6829 | 56 | 1.1975 | 0.1014 | 1.1975 | 1.0943 |
No log | 0.7073 | 58 | 1.8323 | -0.0202 | 1.8323 | 1.3536 |
No log | 0.7317 | 60 | 1.9094 | -0.0202 | 1.9094 | 1.3818 |
No log | 0.7561 | 62 | 1.1895 | 0.0741 | 1.1895 | 1.0907 |
No log | 0.7805 | 64 | 1.0151 | 0.1781 | 1.0151 | 1.0075 |
No log | 0.8049 | 66 | 0.9693 | 0.1573 | 0.9693 | 0.9845 |
No log | 0.8293 | 68 | 0.8439 | 0.0823 | 0.8439 | 0.9187 |
No log | 0.8537 | 70 | 1.0260 | 0.1222 | 1.0260 | 1.0129 |
No log | 0.8780 | 72 | 0.9732 | 0.1551 | 0.9732 | 0.9865 |
No log | 0.9024 | 74 | 0.7996 | 0.1762 | 0.7996 | 0.8942 |
No log | 0.9268 | 76 | 0.8509 | 0.1714 | 0.8509 | 0.9225 |
No log | 0.9512 | 78 | 1.0358 | 0.1771 | 1.0358 | 1.0177 |
No log | 0.9756 | 80 | 1.4824 | 0.1445 | 1.4824 | 1.2175 |
No log | 1.0 | 82 | 1.2928 | 0.1002 | 1.2928 | 1.1370 |
No log | 1.0244 | 84 | 0.8694 | 0.2023 | 0.8694 | 0.9324 |
No log | 1.0488 | 86 | 0.9892 | 0.1514 | 0.9892 | 0.9946 |
No log | 1.0732 | 88 | 0.9462 | 0.1312 | 0.9462 | 0.9727 |
No log | 1.0976 | 90 | 0.7943 | 0.1093 | 0.7943 | 0.8912 |
No log | 1.1220 | 92 | 1.1602 | 0.0529 | 1.1602 | 1.0771 |
No log | 1.1463 | 94 | 1.2502 | 0.0462 | 1.2502 | 1.1181 |
No log | 1.1707 | 96 | 0.9603 | 0.0257 | 0.9603 | 0.9799 |
No log | 1.1951 | 98 | 0.8509 | 0.1809 | 0.8509 | 0.9225 |
No log | 1.2195 | 100 | 0.9810 | 0.1764 | 0.9810 | 0.9904 |
No log | 1.2439 | 102 | 1.0101 | 0.2234 | 1.0101 | 1.0050 |
No log | 1.2683 | 104 | 0.9815 | 0.1403 | 0.9815 | 0.9907 |
No log | 1.2927 | 106 | 1.0092 | 0.1369 | 1.0092 | 1.0046 |
No log | 1.3171 | 108 | 0.9691 | 0.1406 | 0.9691 | 0.9844 |
No log | 1.3415 | 110 | 0.9112 | 0.1453 | 0.9112 | 0.9546 |
No log | 1.3659 | 112 | 0.9101 | 0.0931 | 0.9101 | 0.9540 |
No log | 1.3902 | 114 | 0.8774 | 0.0537 | 0.8774 | 0.9367 |
No log | 1.4146 | 116 | 0.8875 | 0.1775 | 0.8875 | 0.9421 |
No log | 1.4390 | 118 | 0.9244 | 0.1391 | 0.9244 | 0.9615 |
No log | 1.4634 | 120 | 0.9469 | 0.1519 | 0.9469 | 0.9731 |
No log | 1.4878 | 122 | 0.9634 | 0.0856 | 0.9634 | 0.9815 |
No log | 1.5122 | 124 | 0.9066 | 0.1053 | 0.9066 | 0.9522 |
No log | 1.5366 | 126 | 1.0372 | 0.0794 | 1.0372 | 1.0184 |
No log | 1.5610 | 128 | 1.0822 | 0.0891 | 1.0822 | 1.0403 |
No log | 1.5854 | 130 | 0.9080 | 0.0988 | 0.9080 | 0.9529 |
No log | 1.6098 | 132 | 0.7904 | 0.0549 | 0.7904 | 0.8890 |
No log | 1.6341 | 134 | 0.7731 | 0.0768 | 0.7731 | 0.8793 |
No log | 1.6585 | 136 | 0.8040 | 0.1362 | 0.8040 | 0.8967 |
No log | 1.6829 | 138 | 0.9264 | 0.0995 | 0.9264 | 0.9625 |
No log | 1.7073 | 140 | 1.0127 | -0.0220 | 1.0127 | 1.0063 |
No log | 1.7317 | 142 | 1.0675 | 0.1488 | 1.0675 | 1.0332 |
No log | 1.7561 | 144 | 1.2073 | 0.1379 | 1.2073 | 1.0988 |
No log | 1.7805 | 146 | 1.0827 | 0.1758 | 1.0827 | 1.0405 |
No log | 1.8049 | 148 | 0.9443 | 0.0353 | 0.9443 | 0.9718 |
No log | 1.8293 | 150 | 0.9059 | 0.0134 | 0.9059 | 0.9518 |
No log | 1.8537 | 152 | 0.9223 | 0.0831 | 0.9223 | 0.9604 |
No log | 1.8780 | 154 | 0.7603 | 0.1259 | 0.7603 | 0.8720 |
No log | 1.9024 | 156 | 0.7490 | 0.1259 | 0.7490 | 0.8654 |
No log | 1.9268 | 158 | 0.8423 | 0.0512 | 0.8423 | 0.9178 |
No log | 1.9512 | 160 | 0.8392 | 0.1336 | 0.8392 | 0.9161 |
No log | 1.9756 | 162 | 0.7925 | 0.0834 | 0.7925 | 0.8903 |
No log | 2.0 | 164 | 0.8562 | 0.0697 | 0.8562 | 0.9253 |
No log | 2.0244 | 166 | 0.9037 | 0.0306 | 0.9037 | 0.9506 |
No log | 2.0488 | 168 | 1.0071 | 0.1560 | 1.0071 | 1.0035 |
No log | 2.0732 | 170 | 1.0171 | 0.0734 | 1.0171 | 1.0085 |
No log | 2.0976 | 172 | 0.8866 | 0.1010 | 0.8866 | 0.9416 |
No log | 2.1220 | 174 | 0.8786 | -0.0208 | 0.8786 | 0.9373 |
No log | 2.1463 | 176 | 0.8408 | -0.0208 | 0.8408 | 0.9170 |
No log | 2.1707 | 178 | 0.8087 | -0.0370 | 0.8087 | 0.8993 |
No log | 2.1951 | 180 | 0.8131 | 0.0679 | 0.8131 | 0.9017 |
No log | 2.2195 | 182 | 0.8765 | 0.0159 | 0.8765 | 0.9362 |
No log | 2.2439 | 184 | 1.0387 | 0.1866 | 1.0387 | 1.0192 |
No log | 2.2683 | 186 | 0.9760 | 0.1863 | 0.9760 | 0.9879 |
No log | 2.2927 | 188 | 0.9510 | 0.1575 | 0.9510 | 0.9752 |
No log | 2.3171 | 190 | 1.2939 | 0.0679 | 1.2939 | 1.1375 |
No log | 2.3415 | 192 | 1.0307 | 0.1468 | 1.0307 | 1.0152 |
No log | 2.3659 | 194 | 0.7665 | 0.0834 | 0.7665 | 0.8755 |
No log | 2.3902 | 196 | 0.8013 | 0.0172 | 0.8013 | 0.8951 |
No log | 2.4146 | 198 | 0.7486 | 0.0488 | 0.7486 | 0.8652 |
No log | 2.4390 | 200 | 0.8040 | 0.1965 | 0.8040 | 0.8967 |
No log | 2.4634 | 202 | 0.9454 | 0.0498 | 0.9454 | 0.9723 |
No log | 2.4878 | 204 | 0.8399 | 0.1196 | 0.8399 | 0.9165 |
No log | 2.5122 | 206 | 0.7820 | 0.0488 | 0.7820 | 0.8843 |
No log | 2.5366 | 208 | 0.8452 | -0.0238 | 0.8452 | 0.9194 |
No log | 2.5610 | 210 | 0.8177 | 0.1049 | 0.8177 | 0.9043 |
No log | 2.5854 | 212 | 0.9364 | 0.0956 | 0.9364 | 0.9677 |
No log | 2.6098 | 214 | 0.8269 | 0.1431 | 0.8269 | 0.9093 |
No log | 2.6341 | 216 | 0.8341 | -0.0247 | 0.8341 | 0.9133 |
No log | 2.6585 | 218 | 0.8246 | 0.0119 | 0.8246 | 0.9081 |
No log | 2.6829 | 220 | 0.7980 | 0.0834 | 0.7980 | 0.8933 |
No log | 2.7073 | 222 | 0.8642 | 0.1416 | 0.8642 | 0.9296 |
No log | 2.7317 | 224 | 1.1773 | 0.0402 | 1.1773 | 1.0851 |
No log | 2.7561 | 226 | 1.1278 | 0.0426 | 1.1278 | 1.0620 |
No log | 2.7805 | 228 | 0.8613 | 0.1228 | 0.8613 | 0.9280 |
No log | 2.8049 | 230 | 0.8482 | 0.0985 | 0.8482 | 0.9210 |
No log | 2.8293 | 232 | 0.8277 | 0.0985 | 0.8277 | 0.9098 |
No log | 2.8537 | 234 | 0.7822 | 0.2122 | 0.7822 | 0.8844 |
No log | 2.8780 | 236 | 0.9239 | 0.0502 | 0.9239 | 0.9612 |
No log | 2.9024 | 238 | 0.9522 | 0.0502 | 0.9522 | 0.9758 |
No log | 2.9268 | 240 | 0.8343 | 0.1379 | 0.8343 | 0.9134 |
No log | 2.9512 | 242 | 0.8284 | 0.1365 | 0.8284 | 0.9102 |
No log | 2.9756 | 244 | 0.8843 | 0.0913 | 0.8843 | 0.9404 |
No log | 3.0 | 246 | 0.8743 | 0.2308 | 0.8743 | 0.9350 |
No log | 3.0244 | 248 | 1.0826 | 0.0196 | 1.0826 | 1.0405 |
No log | 3.0488 | 250 | 1.1371 | 0.0487 | 1.1371 | 1.0664 |
No log | 3.0732 | 252 | 0.9427 | 0.0594 | 0.9427 | 0.9709 |
No log | 3.0976 | 254 | 0.8124 | 0.2138 | 0.8124 | 0.9013 |
No log | 3.1220 | 256 | 0.8018 | 0.0978 | 0.8018 | 0.8954 |
No log | 3.1463 | 258 | 0.7666 | 0.0973 | 0.7666 | 0.8756 |
No log | 3.1707 | 260 | 0.8009 | 0.2078 | 0.8009 | 0.8949 |
No log | 3.1951 | 262 | 0.9607 | 0.0888 | 0.9607 | 0.9802 |
No log | 3.2195 | 264 | 0.9196 | 0.1379 | 0.9196 | 0.9590 |
No log | 3.2439 | 266 | 0.7894 | 0.2053 | 0.7894 | 0.8885 |
No log | 3.2683 | 268 | 0.7814 | 0.0874 | 0.7814 | 0.8840 |
No log | 3.2927 | 270 | 0.7738 | 0.0783 | 0.7738 | 0.8796 |
No log | 3.3171 | 272 | 0.7895 | 0.2605 | 0.7895 | 0.8885 |
No log | 3.3415 | 274 | 0.9330 | 0.0888 | 0.9330 | 0.9659 |
No log | 3.3659 | 276 | 0.9552 | 0.0888 | 0.9552 | 0.9773 |
No log | 3.3902 | 278 | 0.8131 | 0.2251 | 0.8131 | 0.9017 |
No log | 3.4146 | 280 | 0.7779 | 0.1823 | 0.7779 | 0.8820 |
No log | 3.4390 | 282 | 0.8081 | 0.0757 | 0.8081 | 0.8989 |
No log | 3.4634 | 284 | 0.8574 | 0.0818 | 0.8574 | 0.9260 |
No log | 3.4878 | 286 | 0.8502 | 0.0748 | 0.8502 | 0.9221 |
No log | 3.5122 | 288 | 0.8409 | 0.0488 | 0.8409 | 0.9170 |
No log | 3.5366 | 290 | 0.8197 | 0.0893 | 0.8197 | 0.9054 |
No log | 3.5610 | 292 | 0.7934 | 0.0495 | 0.7934 | 0.8907 |
No log | 3.5854 | 294 | 0.7487 | 0.0375 | 0.7487 | 0.8653 |
No log | 3.6098 | 296 | 0.7951 | 0.2105 | 0.7951 | 0.8917 |
No log | 3.6341 | 298 | 0.7884 | 0.2180 | 0.7884 | 0.8879 |
No log | 3.6585 | 300 | 0.7781 | 0.0338 | 0.7781 | 0.8821 |
No log | 3.6829 | 302 | 0.7909 | 0.0978 | 0.7909 | 0.8893 |
No log | 3.7073 | 304 | 0.7812 | 0.0978 | 0.7812 | 0.8838 |
No log | 3.7317 | 306 | 0.7966 | 0.2232 | 0.7966 | 0.8925 |
No log | 3.7561 | 308 | 0.8468 | 0.1504 | 0.8468 | 0.9202 |
No log | 3.7805 | 310 | 0.8167 | 0.1648 | 0.8167 | 0.9037 |
No log | 3.8049 | 312 | 0.7958 | 0.1882 | 0.7958 | 0.8921 |
No log | 3.8293 | 314 | 0.9576 | 0.1189 | 0.9576 | 0.9786 |
No log | 3.8537 | 316 | 1.1575 | 0.0909 | 1.1575 | 1.0759 |
No log | 3.8780 | 318 | 1.0488 | 0.1587 | 1.0488 | 1.0241 |
No log | 3.9024 | 320 | 0.9446 | 0.1800 | 0.9446 | 0.9719 |
No log | 3.9268 | 322 | 1.1233 | 0.1422 | 1.1233 | 1.0599 |
No log | 3.9512 | 324 | 1.1114 | 0.1422 | 1.1114 | 1.0542 |
No log | 3.9756 | 326 | 0.9207 | 0.1800 | 0.9207 | 0.9595 |
No log | 4.0 | 328 | 0.8539 | 0.1353 | 0.8539 | 0.9241 |
No log | 4.0244 | 330 | 0.8431 | 0.1093 | 0.8431 | 0.9182 |
No log | 4.0488 | 332 | 0.8040 | 0.0749 | 0.8040 | 0.8967 |
No log | 4.0732 | 334 | 0.8017 | 0.1752 | 0.8017 | 0.8954 |
No log | 4.0976 | 336 | 0.9804 | 0.0888 | 0.9804 | 0.9901 |
No log | 4.1220 | 338 | 1.0956 | 0.1573 | 1.0956 | 1.0467 |
No log | 4.1463 | 340 | 1.0482 | 0.1077 | 1.0482 | 1.0238 |
No log | 4.1707 | 342 | 0.8789 | 0.1513 | 0.8789 | 0.9375 |
No log | 4.1951 | 344 | 0.8069 | 0.1823 | 0.8069 | 0.8983 |
No log | 4.2195 | 346 | 0.8084 | 0.1823 | 0.8084 | 0.8991 |
No log | 4.2439 | 348 | 0.8087 | 0.1529 | 0.8087 | 0.8993 |
No log | 4.2683 | 350 | 0.8304 | 0.1372 | 0.8304 | 0.9113 |
No log | 4.2927 | 352 | 1.0216 | 0.1111 | 1.0216 | 1.0108 |
No log | 4.3171 | 354 | 1.1754 | -0.0306 | 1.1754 | 1.0842 |
No log | 4.3415 | 356 | 1.0878 | 0.0679 | 1.0878 | 1.0430 |
No log | 4.3659 | 358 | 0.8925 | 0.0551 | 0.8925 | 0.9447 |
No log | 4.3902 | 360 | 0.9310 | 0.1166 | 0.9310 | 0.9649 |
No log | 4.4146 | 362 | 0.9676 | 0.0818 | 0.9676 | 0.9837 |
No log | 4.4390 | 364 | 0.9696 | 0.0378 | 0.9696 | 0.9847 |
No log | 4.4634 | 366 | 1.0651 | 0.0631 | 1.0651 | 1.0320 |
No log | 4.4878 | 368 | 1.2284 | -0.0027 | 1.2284 | 1.1083 |
No log | 4.5122 | 370 | 1.1029 | 0.1077 | 1.1029 | 1.0502 |
No log | 4.5366 | 372 | 0.9356 | 0.0991 | 0.9356 | 0.9673 |
No log | 4.5610 | 374 | 0.8046 | 0.1400 | 0.8046 | 0.8970 |
No log | 4.5854 | 376 | 0.8020 | 0.1277 | 0.8020 | 0.8956 |
No log | 4.6098 | 378 | 0.7838 | 0.1236 | 0.7838 | 0.8853 |
No log | 4.6341 | 380 | 0.7823 | 0.2169 | 0.7823 | 0.8845 |
No log | 4.6585 | 382 | 0.8386 | 0.2251 | 0.8386 | 0.9158 |
No log | 4.6829 | 384 | 0.8119 | 0.2372 | 0.8119 | 0.9011 |
No log | 4.7073 | 386 | 0.8039 | 0.1823 | 0.8039 | 0.8966 |
No log | 4.7317 | 388 | 0.8380 | 0.1400 | 0.8380 | 0.9154 |
No log | 4.7561 | 390 | 0.8415 | 0.2027 | 0.8415 | 0.9173 |
No log | 4.7805 | 392 | 0.8341 | 0.1550 | 0.8341 | 0.9133 |
No log | 4.8049 | 394 | 0.7928 | 0.1407 | 0.7928 | 0.8904 |
No log | 4.8293 | 396 | 0.7955 | 0.2169 | 0.7955 | 0.8919 |
No log | 4.8537 | 398 | 0.8219 | 0.1571 | 0.8219 | 0.9066 |
No log | 4.8780 | 400 | 0.8925 | 0.0991 | 0.8925 | 0.9447 |
No log | 4.9024 | 402 | 0.8255 | 0.1522 | 0.8255 | 0.9086 |
No log | 4.9268 | 404 | 0.7527 | 0.1807 | 0.7527 | 0.8676 |
No log | 4.9512 | 406 | 0.7406 | 0.0914 | 0.7406 | 0.8606 |
No log | 4.9756 | 408 | 0.7410 | 0.1807 | 0.7410 | 0.8608 |
No log | 5.0 | 410 | 0.8337 | 0.1522 | 0.8337 | 0.9131 |
No log | 5.0244 | 412 | 0.9733 | 0.1517 | 0.9733 | 0.9866 |
No log | 5.0488 | 414 | 0.9339 | 0.1306 | 0.9339 | 0.9664 |
No log | 5.0732 | 416 | 0.8245 | 0.0512 | 0.8245 | 0.9080 |
No log | 5.0976 | 418 | 0.8038 | 0.0922 | 0.8038 | 0.8965 |
No log | 5.1220 | 420 | 0.8526 | 0.0944 | 0.8526 | 0.9234 |
No log | 5.1463 | 422 | 0.8737 | 0.1268 | 0.8737 | 0.9347 |
No log | 5.1707 | 424 | 0.9773 | 0.1254 | 0.9773 | 0.9886 |
No log | 5.1951 | 426 | 1.0756 | 0.1077 | 1.0756 | 1.0371 |
No log | 5.2195 | 428 | 1.0085 | 0.1509 | 1.0085 | 1.0042 |
No log | 5.2439 | 430 | 0.9733 | 0.1551 | 0.9733 | 0.9866 |
No log | 5.2683 | 432 | 0.8912 | 0.0991 | 0.8912 | 0.9440 |
No log | 5.2927 | 434 | 0.8389 | 0.1991 | 0.8389 | 0.9159 |
No log | 5.3171 | 436 | 0.8005 | 0.1465 | 0.8005 | 0.8947 |
No log | 5.3415 | 438 | 0.8011 | 0.1823 | 0.8011 | 0.8950 |
No log | 5.3659 | 440 | 0.8591 | 0.1935 | 0.8591 | 0.9269 |
No log | 5.3902 | 442 | 0.9777 | 0.1584 | 0.9777 | 0.9888 |
No log | 5.4146 | 444 | 1.1115 | 0.1692 | 1.1115 | 1.0543 |
No log | 5.4390 | 446 | 1.1191 | 0.1651 | 1.1191 | 1.0579 |
No log | 5.4634 | 448 | 0.9227 | 0.1297 | 0.9227 | 0.9606 |
No log | 5.4878 | 450 | 0.7506 | 0.1986 | 0.7506 | 0.8664 |
No log | 5.5122 | 452 | 0.7241 | 0.1371 | 0.7241 | 0.8509 |
No log | 5.5366 | 454 | 0.7128 | 0.1371 | 0.7128 | 0.8443 |
No log | 5.5610 | 456 | 0.7410 | 0.2180 | 0.7410 | 0.8608 |
No log | 5.5854 | 458 | 0.8304 | 0.1794 | 0.8304 | 0.9113 |
No log | 5.6098 | 460 | 0.8572 | 0.1794 | 0.8572 | 0.9259 |
No log | 5.6341 | 462 | 0.8726 | 0.1846 | 0.8726 | 0.9341 |
No log | 5.6585 | 464 | 0.8351 | 0.1609 | 0.8351 | 0.9138 |
No log | 5.6829 | 466 | 0.8282 | 0.1609 | 0.8282 | 0.9101 |
No log | 5.7073 | 468 | 0.8467 | 0.1522 | 0.8467 | 0.9201 |
No log | 5.7317 | 470 | 0.9875 | 0.1044 | 0.9875 | 0.9937 |
No log | 5.7561 | 472 | 0.9652 | 0.1044 | 0.9652 | 0.9825 |
No log | 5.7805 | 474 | 0.8522 | 0.1846 | 0.8522 | 0.9231 |
No log | 5.8049 | 476 | 0.8036 | 0.1767 | 0.8036 | 0.8964 |
No log | 5.8293 | 478 | 0.8315 | 0.1347 | 0.8315 | 0.9119 |
No log | 5.8537 | 480 | 0.8463 | 0.1347 | 0.8463 | 0.9199 |
No log | 5.8780 | 482 | 0.8440 | 0.2107 | 0.8440 | 0.9187 |
No log | 5.9024 | 484 | 0.9068 | 0.1337 | 0.9068 | 0.9523 |
No log | 5.9268 | 486 | 0.9708 | 0.1835 | 0.9708 | 0.9853 |
No log | 5.9512 | 488 | 0.9873 | 0.1835 | 0.9873 | 0.9936 |
No log | 5.9756 | 490 | 0.8778 | 0.1337 | 0.8778 | 0.9369 |
No log | 6.0 | 492 | 0.7950 | 0.2534 | 0.7950 | 0.8916 |
No log | 6.0244 | 494 | 0.8159 | 0.2534 | 0.8159 | 0.9033 |
No log | 6.0488 | 496 | 0.8680 | 0.1379 | 0.8680 | 0.9317 |
No log | 6.0732 | 498 | 0.9544 | 0.1882 | 0.9544 | 0.9769 |
0.3124 | 6.0976 | 500 | 0.9866 | 0.1468 | 0.9866 | 0.9933 |
0.3124 | 6.1220 | 502 | 0.9504 | 0.1560 | 0.9504 | 0.9749 |
0.3124 | 6.1463 | 504 | 0.9085 | 0.1604 | 0.9085 | 0.9531 |
0.3124 | 6.1707 | 506 | 0.9155 | 0.1604 | 0.9155 | 0.9568 |
0.3124 | 6.1951 | 508 | 0.9343 | 0.1604 | 0.9343 | 0.9666 |
0.3124 | 6.2195 | 510 | 0.8351 | 0.0805 | 0.8351 | 0.9138 |
0.3124 | 6.2439 | 512 | 0.7878 | 0.0700 | 0.7878 | 0.8876 |
0.3124 | 6.2683 | 514 | 0.7787 | 0.1094 | 0.7787 | 0.8825 |
0.3124 | 6.2927 | 516 | 0.7947 | 0.0705 | 0.7947 | 0.8914 |
0.3124 | 6.3171 | 518 | 0.8114 | 0.0713 | 0.8114 | 0.9008 |
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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k16_task3_organization
Base model
aubmindlab/bert-base-arabertv02