ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k16_task7_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: 0.8173
- Qwk: 0.3780
- Mse: 0.8173
- Rmse: 0.9041
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 | 2.6347 | -0.0407 | 2.6347 | 1.6232 |
| No log | 0.0488 | 4 | 1.4763 | 0.0461 | 1.4763 | 1.2150 |
| No log | 0.0732 | 6 | 1.1378 | -0.1866 | 1.1378 | 1.0667 |
| No log | 0.0976 | 8 | 1.0700 | -0.0215 | 1.0700 | 1.0344 |
| No log | 0.1220 | 10 | 1.1709 | -0.0652 | 1.1709 | 1.0821 |
| No log | 0.1463 | 12 | 1.2764 | -0.0856 | 1.2764 | 1.1298 |
| No log | 0.1707 | 14 | 1.3335 | -0.2062 | 1.3335 | 1.1548 |
| No log | 0.1951 | 16 | 1.3049 | -0.1171 | 1.3049 | 1.1423 |
| No log | 0.2195 | 18 | 1.0628 | -0.1111 | 1.0628 | 1.0309 |
| No log | 0.2439 | 20 | 0.8706 | 0.0 | 0.8706 | 0.9330 |
| No log | 0.2683 | 22 | 0.8118 | 0.0 | 0.8118 | 0.9010 |
| No log | 0.2927 | 24 | 0.8199 | 0.1617 | 0.8199 | 0.9055 |
| No log | 0.3171 | 26 | 0.8968 | 0.1718 | 0.8968 | 0.9470 |
| No log | 0.3415 | 28 | 1.0342 | 0.0924 | 1.0342 | 1.0169 |
| No log | 0.3659 | 30 | 1.0600 | 0.0653 | 1.0600 | 1.0296 |
| No log | 0.3902 | 32 | 1.0181 | 0.0509 | 1.0181 | 1.0090 |
| No log | 0.4146 | 34 | 0.9053 | 0.0541 | 0.9053 | 0.9515 |
| No log | 0.4390 | 36 | 0.7510 | 0.1139 | 0.7510 | 0.8666 |
| No log | 0.4634 | 38 | 0.7448 | 0.1282 | 0.7448 | 0.8630 |
| No log | 0.4878 | 40 | 0.7894 | 0.1372 | 0.7894 | 0.8885 |
| No log | 0.5122 | 42 | 0.7035 | 0.0481 | 0.7035 | 0.8388 |
| No log | 0.5366 | 44 | 0.6790 | 0.0798 | 0.6790 | 0.8240 |
| No log | 0.5610 | 46 | 0.7270 | 0.2345 | 0.7270 | 0.8527 |
| No log | 0.5854 | 48 | 0.7632 | 0.1359 | 0.7632 | 0.8736 |
| No log | 0.6098 | 50 | 0.7717 | 0.1407 | 0.7717 | 0.8784 |
| No log | 0.6341 | 52 | 0.7477 | 0.1752 | 0.7477 | 0.8647 |
| No log | 0.6585 | 54 | 0.7502 | 0.1183 | 0.7502 | 0.8662 |
| No log | 0.6829 | 56 | 0.7555 | 0.1103 | 0.7555 | 0.8692 |
| No log | 0.7073 | 58 | 0.7624 | 0.1452 | 0.7624 | 0.8732 |
| No log | 0.7317 | 60 | 0.7806 | 0.1353 | 0.7806 | 0.8835 |
| No log | 0.7561 | 62 | 0.8056 | 0.0643 | 0.8056 | 0.8976 |
| No log | 0.7805 | 64 | 0.8549 | 0.1007 | 0.8549 | 0.9246 |
| No log | 0.8049 | 66 | 0.8493 | 0.1007 | 0.8493 | 0.9216 |
| No log | 0.8293 | 68 | 0.8275 | 0.0643 | 0.8275 | 0.9097 |
| No log | 0.8537 | 70 | 0.7690 | 0.1981 | 0.7690 | 0.8769 |
| No log | 0.8780 | 72 | 0.7090 | 0.2095 | 0.7090 | 0.8420 |
| No log | 0.9024 | 74 | 0.7455 | 0.2012 | 0.7455 | 0.8634 |
| No log | 0.9268 | 76 | 0.7706 | 0.1304 | 0.7706 | 0.8778 |
| No log | 0.9512 | 78 | 0.7334 | 0.0679 | 0.7334 | 0.8564 |
| No log | 0.9756 | 80 | 0.7437 | 0.2883 | 0.7437 | 0.8624 |
| No log | 1.0 | 82 | 0.7896 | 0.2817 | 0.7896 | 0.8886 |
| No log | 1.0244 | 84 | 0.7697 | 0.1918 | 0.7697 | 0.8773 |
| No log | 1.0488 | 86 | 0.7551 | 0.1050 | 0.7551 | 0.8690 |
| No log | 1.0732 | 88 | 0.8043 | 0.2395 | 0.8043 | 0.8968 |
| No log | 1.0976 | 90 | 0.8401 | 0.2612 | 0.8401 | 0.9166 |
| No log | 1.1220 | 92 | 0.7947 | 0.2673 | 0.7947 | 0.8914 |
| No log | 1.1463 | 94 | 0.7374 | 0.1941 | 0.7374 | 0.8587 |
| No log | 1.1707 | 96 | 0.6831 | 0.1775 | 0.6831 | 0.8265 |
| No log | 1.1951 | 98 | 0.6922 | 0.4044 | 0.6922 | 0.8320 |
| No log | 1.2195 | 100 | 0.7629 | 0.3032 | 0.7629 | 0.8735 |
| No log | 1.2439 | 102 | 0.7610 | 0.3195 | 0.7610 | 0.8724 |
| No log | 1.2683 | 104 | 0.7388 | 0.2113 | 0.7388 | 0.8595 |
| No log | 1.2927 | 106 | 0.8581 | 0.2583 | 0.8581 | 0.9263 |
| No log | 1.3171 | 108 | 0.8845 | 0.2224 | 0.8845 | 0.9405 |
| No log | 1.3415 | 110 | 0.8028 | 0.1597 | 0.8028 | 0.8960 |
| No log | 1.3659 | 112 | 0.7694 | 0.1489 | 0.7694 | 0.8772 |
| No log | 1.3902 | 114 | 0.8041 | 0.1972 | 0.8041 | 0.8967 |
| No log | 1.4146 | 116 | 0.8473 | 0.1884 | 0.8473 | 0.9205 |
| No log | 1.4390 | 118 | 0.9178 | 0.3012 | 0.9178 | 0.9580 |
| No log | 1.4634 | 120 | 0.9061 | 0.2861 | 0.9061 | 0.9519 |
| No log | 1.4878 | 122 | 0.7943 | 0.2692 | 0.7943 | 0.8912 |
| No log | 1.5122 | 124 | 0.7121 | 0.3341 | 0.7121 | 0.8439 |
| No log | 1.5366 | 126 | 0.6947 | 0.3782 | 0.6947 | 0.8335 |
| No log | 1.5610 | 128 | 0.6983 | 0.2819 | 0.6983 | 0.8356 |
| No log | 1.5854 | 130 | 0.7007 | 0.2819 | 0.7007 | 0.8370 |
| No log | 1.6098 | 132 | 0.7106 | 0.3545 | 0.7106 | 0.8429 |
| No log | 1.6341 | 134 | 0.6803 | 0.3814 | 0.6803 | 0.8248 |
| No log | 1.6585 | 136 | 0.6114 | 0.4468 | 0.6114 | 0.7819 |
| No log | 1.6829 | 138 | 0.6153 | 0.4468 | 0.6153 | 0.7844 |
| No log | 1.7073 | 140 | 0.6498 | 0.4402 | 0.6498 | 0.8061 |
| No log | 1.7317 | 142 | 0.6852 | 0.3022 | 0.6852 | 0.8278 |
| No log | 1.7561 | 144 | 0.7081 | 0.3906 | 0.7081 | 0.8415 |
| No log | 1.7805 | 146 | 0.7369 | 0.3879 | 0.7369 | 0.8584 |
| No log | 1.8049 | 148 | 0.7415 | 0.3625 | 0.7415 | 0.8611 |
| No log | 1.8293 | 150 | 0.7467 | 0.3658 | 0.7467 | 0.8641 |
| No log | 1.8537 | 152 | 0.7344 | 0.3151 | 0.7344 | 0.8569 |
| No log | 1.8780 | 154 | 0.7269 | 0.4176 | 0.7269 | 0.8526 |
| No log | 1.9024 | 156 | 0.7071 | 0.4073 | 0.7071 | 0.8409 |
| No log | 1.9268 | 158 | 0.6852 | 0.4073 | 0.6852 | 0.8278 |
| No log | 1.9512 | 160 | 0.6657 | 0.4222 | 0.6657 | 0.8159 |
| No log | 1.9756 | 162 | 0.6833 | 0.4302 | 0.6833 | 0.8266 |
| No log | 2.0 | 164 | 0.7063 | 0.4920 | 0.7063 | 0.8404 |
| No log | 2.0244 | 166 | 0.7343 | 0.4719 | 0.7343 | 0.8569 |
| No log | 2.0488 | 168 | 0.7147 | 0.3971 | 0.7147 | 0.8454 |
| No log | 2.0732 | 170 | 0.6738 | 0.4173 | 0.6738 | 0.8208 |
| No log | 2.0976 | 172 | 0.6640 | 0.4635 | 0.6640 | 0.8148 |
| No log | 2.1220 | 174 | 0.6577 | 0.4037 | 0.6577 | 0.8110 |
| No log | 2.1463 | 176 | 0.7362 | 0.3950 | 0.7362 | 0.8580 |
| No log | 2.1707 | 178 | 0.7612 | 0.3930 | 0.7612 | 0.8725 |
| No log | 2.1951 | 180 | 0.7063 | 0.3679 | 0.7063 | 0.8404 |
| No log | 2.2195 | 182 | 0.6849 | 0.3933 | 0.6849 | 0.8276 |
| No log | 2.2439 | 184 | 0.7097 | 0.3598 | 0.7097 | 0.8424 |
| No log | 2.2683 | 186 | 0.7445 | 0.4125 | 0.7445 | 0.8629 |
| No log | 2.2927 | 188 | 0.7513 | 0.3679 | 0.7513 | 0.8668 |
| No log | 2.3171 | 190 | 0.7703 | 0.3353 | 0.7703 | 0.8777 |
| No log | 2.3415 | 192 | 0.7516 | 0.3486 | 0.7516 | 0.8669 |
| No log | 2.3659 | 194 | 0.7057 | 0.4543 | 0.7057 | 0.8401 |
| No log | 2.3902 | 196 | 0.6923 | 0.3961 | 0.6923 | 0.8321 |
| No log | 2.4146 | 198 | 0.6967 | 0.2953 | 0.6967 | 0.8347 |
| No log | 2.4390 | 200 | 0.6972 | 0.3569 | 0.6972 | 0.8350 |
| No log | 2.4634 | 202 | 0.7338 | 0.3261 | 0.7338 | 0.8566 |
| No log | 2.4878 | 204 | 0.8323 | 0.3456 | 0.8323 | 0.9123 |
| No log | 2.5122 | 206 | 0.8771 | 0.3076 | 0.8771 | 0.9365 |
| No log | 2.5366 | 208 | 0.8007 | 0.3586 | 0.8007 | 0.8948 |
| No log | 2.5610 | 210 | 0.7161 | 0.4375 | 0.7161 | 0.8462 |
| No log | 2.5854 | 212 | 0.7054 | 0.4278 | 0.7054 | 0.8399 |
| No log | 2.6098 | 214 | 0.7180 | 0.4535 | 0.7180 | 0.8474 |
| No log | 2.6341 | 216 | 0.7707 | 0.4356 | 0.7707 | 0.8779 |
| No log | 2.6585 | 218 | 0.7865 | 0.4754 | 0.7865 | 0.8869 |
| No log | 2.6829 | 220 | 0.7508 | 0.4543 | 0.7508 | 0.8665 |
| No log | 2.7073 | 222 | 0.7166 | 0.4516 | 0.7166 | 0.8465 |
| No log | 2.7317 | 224 | 0.6872 | 0.4575 | 0.6872 | 0.8290 |
| No log | 2.7561 | 226 | 0.6998 | 0.4475 | 0.6998 | 0.8365 |
| No log | 2.7805 | 228 | 0.7647 | 0.3447 | 0.7647 | 0.8745 |
| No log | 2.8049 | 230 | 0.7664 | 0.4031 | 0.7664 | 0.8754 |
| No log | 2.8293 | 232 | 0.7368 | 0.3780 | 0.7368 | 0.8583 |
| No log | 2.8537 | 234 | 0.7533 | 0.3822 | 0.7533 | 0.8679 |
| No log | 2.8780 | 236 | 0.7588 | 0.3802 | 0.7588 | 0.8711 |
| No log | 2.9024 | 238 | 0.6905 | 0.4543 | 0.6905 | 0.8310 |
| No log | 2.9268 | 240 | 0.6555 | 0.4738 | 0.6555 | 0.8096 |
| No log | 2.9512 | 242 | 0.6573 | 0.4274 | 0.6573 | 0.8108 |
| No log | 2.9756 | 244 | 0.6916 | 0.3854 | 0.6916 | 0.8316 |
| No log | 3.0 | 246 | 0.7519 | 0.3570 | 0.7519 | 0.8671 |
| No log | 3.0244 | 248 | 0.7730 | 0.3675 | 0.7730 | 0.8792 |
| No log | 3.0488 | 250 | 0.6925 | 0.4058 | 0.6925 | 0.8322 |
| No log | 3.0732 | 252 | 0.6337 | 0.5319 | 0.6337 | 0.7961 |
| No log | 3.0976 | 254 | 0.6499 | 0.4810 | 0.6499 | 0.8061 |
| No log | 3.1220 | 256 | 0.6818 | 0.4794 | 0.6818 | 0.8257 |
| No log | 3.1463 | 258 | 0.6722 | 0.4315 | 0.6722 | 0.8199 |
| No log | 3.1707 | 260 | 0.6965 | 0.5074 | 0.6965 | 0.8346 |
| No log | 3.1951 | 262 | 0.7968 | 0.3538 | 0.7968 | 0.8926 |
| No log | 3.2195 | 264 | 0.7956 | 0.3937 | 0.7956 | 0.8919 |
| No log | 3.2439 | 266 | 0.7161 | 0.4618 | 0.7161 | 0.8462 |
| No log | 3.2683 | 268 | 0.7123 | 0.4381 | 0.7123 | 0.8440 |
| No log | 3.2927 | 270 | 0.7781 | 0.3510 | 0.7781 | 0.8821 |
| No log | 3.3171 | 272 | 0.8301 | 0.3285 | 0.8301 | 0.9111 |
| No log | 3.3415 | 274 | 0.7632 | 0.3740 | 0.7632 | 0.8736 |
| No log | 3.3659 | 276 | 0.6958 | 0.3910 | 0.6958 | 0.8342 |
| No log | 3.3902 | 278 | 0.6689 | 0.4166 | 0.6689 | 0.8179 |
| No log | 3.4146 | 280 | 0.6820 | 0.4379 | 0.6820 | 0.8258 |
| No log | 3.4390 | 282 | 0.7480 | 0.3888 | 0.7480 | 0.8648 |
| No log | 3.4634 | 284 | 0.8153 | 0.4124 | 0.8153 | 0.9029 |
| No log | 3.4878 | 286 | 0.8440 | 0.3543 | 0.8440 | 0.9187 |
| No log | 3.5122 | 288 | 0.7752 | 0.4423 | 0.7752 | 0.8805 |
| No log | 3.5366 | 290 | 0.6867 | 0.4574 | 0.6867 | 0.8287 |
| No log | 3.5610 | 292 | 0.7219 | 0.4230 | 0.7219 | 0.8496 |
| No log | 3.5854 | 294 | 0.7615 | 0.3808 | 0.7615 | 0.8727 |
| No log | 3.6098 | 296 | 0.7221 | 0.4832 | 0.7221 | 0.8497 |
| No log | 3.6341 | 298 | 0.6888 | 0.4308 | 0.6888 | 0.8300 |
| No log | 3.6585 | 300 | 0.7482 | 0.3656 | 0.7482 | 0.8650 |
| No log | 3.6829 | 302 | 0.8096 | 0.3503 | 0.8096 | 0.8998 |
| No log | 3.7073 | 304 | 0.7863 | 0.4232 | 0.7863 | 0.8867 |
| No log | 3.7317 | 306 | 0.7241 | 0.4094 | 0.7241 | 0.8509 |
| No log | 3.7561 | 308 | 0.7202 | 0.4128 | 0.7202 | 0.8487 |
| No log | 3.7805 | 310 | 0.7355 | 0.3924 | 0.7355 | 0.8576 |
| No log | 3.8049 | 312 | 0.7154 | 0.4422 | 0.7154 | 0.8458 |
| No log | 3.8293 | 314 | 0.7042 | 0.3969 | 0.7042 | 0.8392 |
| No log | 3.8537 | 316 | 0.7360 | 0.4620 | 0.7360 | 0.8579 |
| No log | 3.8780 | 318 | 0.8593 | 0.3389 | 0.8593 | 0.9270 |
| No log | 3.9024 | 320 | 0.9697 | 0.3325 | 0.9697 | 0.9847 |
| No log | 3.9268 | 322 | 0.9488 | 0.3522 | 0.9488 | 0.9741 |
| No log | 3.9512 | 324 | 0.8591 | 0.3151 | 0.8591 | 0.9269 |
| No log | 3.9756 | 326 | 0.7592 | 0.3615 | 0.7592 | 0.8713 |
| No log | 4.0 | 328 | 0.7228 | 0.3615 | 0.7228 | 0.8501 |
| No log | 4.0244 | 330 | 0.7029 | 0.4125 | 0.7029 | 0.8384 |
| No log | 4.0488 | 332 | 0.7027 | 0.3961 | 0.7027 | 0.8382 |
| No log | 4.0732 | 334 | 0.7092 | 0.3601 | 0.7092 | 0.8422 |
| No log | 4.0976 | 336 | 0.7136 | 0.3578 | 0.7136 | 0.8447 |
| No log | 4.1220 | 338 | 0.7224 | 0.3530 | 0.7224 | 0.8499 |
| No log | 4.1463 | 340 | 0.7739 | 0.4263 | 0.7739 | 0.8797 |
| No log | 4.1707 | 342 | 0.8593 | 0.4173 | 0.8593 | 0.9270 |
| No log | 4.1951 | 344 | 0.8289 | 0.3955 | 0.8289 | 0.9104 |
| No log | 4.2195 | 346 | 0.8033 | 0.3677 | 0.8033 | 0.8962 |
| No log | 4.2439 | 348 | 0.7876 | 0.2926 | 0.7876 | 0.8875 |
| No log | 4.2683 | 350 | 0.7685 | 0.2813 | 0.7685 | 0.8766 |
| No log | 4.2927 | 352 | 0.7515 | 0.2943 | 0.7515 | 0.8669 |
| No log | 4.3171 | 354 | 0.7484 | 0.3224 | 0.7484 | 0.8651 |
| No log | 4.3415 | 356 | 0.7412 | 0.3144 | 0.7412 | 0.8609 |
| No log | 4.3659 | 358 | 0.7388 | 0.4342 | 0.7388 | 0.8596 |
| No log | 4.3902 | 360 | 0.7456 | 0.3478 | 0.7456 | 0.8635 |
| No log | 4.4146 | 362 | 0.7424 | 0.3817 | 0.7424 | 0.8616 |
| No log | 4.4390 | 364 | 0.7533 | 0.3980 | 0.7533 | 0.8679 |
| No log | 4.4634 | 366 | 0.7775 | 0.3958 | 0.7775 | 0.8817 |
| No log | 4.4878 | 368 | 0.7835 | 0.3567 | 0.7835 | 0.8851 |
| No log | 4.5122 | 370 | 0.7868 | 0.3183 | 0.7868 | 0.8870 |
| No log | 4.5366 | 372 | 0.7342 | 0.3746 | 0.7342 | 0.8569 |
| No log | 4.5610 | 374 | 0.6767 | 0.3399 | 0.6767 | 0.8226 |
| No log | 4.5854 | 376 | 0.6608 | 0.3224 | 0.6608 | 0.8129 |
| No log | 4.6098 | 378 | 0.6584 | 0.3813 | 0.6584 | 0.8114 |
| No log | 4.6341 | 380 | 0.6637 | 0.3937 | 0.6637 | 0.8147 |
| No log | 4.6585 | 382 | 0.6547 | 0.3861 | 0.6547 | 0.8092 |
| No log | 4.6829 | 384 | 0.6498 | 0.4096 | 0.6498 | 0.8061 |
| No log | 4.7073 | 386 | 0.6502 | 0.3856 | 0.6502 | 0.8063 |
| No log | 4.7317 | 388 | 0.6470 | 0.4526 | 0.6470 | 0.8043 |
| No log | 4.7561 | 390 | 0.6449 | 0.5070 | 0.6449 | 0.8031 |
| No log | 4.7805 | 392 | 0.6674 | 0.4754 | 0.6674 | 0.8169 |
| No log | 4.8049 | 394 | 0.7184 | 0.4371 | 0.7184 | 0.8476 |
| No log | 4.8293 | 396 | 0.7323 | 0.4371 | 0.7323 | 0.8557 |
| No log | 4.8537 | 398 | 0.6958 | 0.4550 | 0.6958 | 0.8342 |
| No log | 4.8780 | 400 | 0.6999 | 0.4360 | 0.6999 | 0.8366 |
| No log | 4.9024 | 402 | 0.7163 | 0.4713 | 0.7163 | 0.8463 |
| No log | 4.9268 | 404 | 0.7329 | 0.4713 | 0.7329 | 0.8561 |
| No log | 4.9512 | 406 | 0.7403 | 0.4848 | 0.7403 | 0.8604 |
| No log | 4.9756 | 408 | 0.7473 | 0.4557 | 0.7473 | 0.8645 |
| No log | 5.0 | 410 | 0.7428 | 0.4746 | 0.7428 | 0.8618 |
| No log | 5.0244 | 412 | 0.7477 | 0.4202 | 0.7477 | 0.8647 |
| No log | 5.0488 | 414 | 0.7278 | 0.3991 | 0.7278 | 0.8531 |
| No log | 5.0732 | 416 | 0.7119 | 0.4126 | 0.7119 | 0.8437 |
| No log | 5.0976 | 418 | 0.6951 | 0.4236 | 0.6951 | 0.8337 |
| No log | 5.1220 | 420 | 0.6978 | 0.4413 | 0.6978 | 0.8353 |
| No log | 5.1463 | 422 | 0.6950 | 0.4271 | 0.6950 | 0.8337 |
| No log | 5.1707 | 424 | 0.6583 | 0.4719 | 0.6583 | 0.8114 |
| No log | 5.1951 | 426 | 0.6482 | 0.4885 | 0.6482 | 0.8051 |
| No log | 5.2195 | 428 | 0.6481 | 0.4885 | 0.6481 | 0.8050 |
| No log | 5.2439 | 430 | 0.6567 | 0.4222 | 0.6567 | 0.8104 |
| No log | 5.2683 | 432 | 0.6912 | 0.4201 | 0.6912 | 0.8314 |
| No log | 5.2927 | 434 | 0.7026 | 0.3714 | 0.7026 | 0.8382 |
| No log | 5.3171 | 436 | 0.7362 | 0.2395 | 0.7362 | 0.8580 |
| No log | 5.3415 | 438 | 0.7934 | 0.2866 | 0.7934 | 0.8907 |
| No log | 5.3659 | 440 | 0.8113 | 0.2804 | 0.8113 | 0.9007 |
| No log | 5.3902 | 442 | 0.7762 | 0.3052 | 0.7762 | 0.8810 |
| No log | 5.4146 | 444 | 0.7010 | 0.4496 | 0.7010 | 0.8372 |
| No log | 5.4390 | 446 | 0.6870 | 0.4715 | 0.6870 | 0.8289 |
| No log | 5.4634 | 448 | 0.6864 | 0.4715 | 0.6864 | 0.8285 |
| No log | 5.4878 | 450 | 0.6669 | 0.4288 | 0.6669 | 0.8167 |
| No log | 5.5122 | 452 | 0.6734 | 0.3442 | 0.6734 | 0.8206 |
| No log | 5.5366 | 454 | 0.7156 | 0.3350 | 0.7156 | 0.8459 |
| No log | 5.5610 | 456 | 0.8039 | 0.2475 | 0.8039 | 0.8966 |
| No log | 5.5854 | 458 | 0.8284 | 0.2532 | 0.8284 | 0.9102 |
| No log | 5.6098 | 460 | 0.7929 | 0.2895 | 0.7929 | 0.8904 |
| No log | 5.6341 | 462 | 0.7609 | 0.2884 | 0.7609 | 0.8723 |
| No log | 5.6585 | 464 | 0.7479 | 0.3178 | 0.7479 | 0.8648 |
| No log | 5.6829 | 466 | 0.7232 | 0.3939 | 0.7232 | 0.8504 |
| No log | 5.7073 | 468 | 0.7179 | 0.3856 | 0.7179 | 0.8473 |
| No log | 5.7317 | 470 | 0.7308 | 0.3957 | 0.7308 | 0.8549 |
| No log | 5.7561 | 472 | 0.7413 | 0.4019 | 0.7413 | 0.8610 |
| No log | 5.7805 | 474 | 0.7445 | 0.3501 | 0.7445 | 0.8628 |
| No log | 5.8049 | 476 | 0.7470 | 0.3107 | 0.7470 | 0.8643 |
| No log | 5.8293 | 478 | 0.7699 | 0.2883 | 0.7699 | 0.8775 |
| No log | 5.8537 | 480 | 0.8002 | 0.2694 | 0.8002 | 0.8945 |
| No log | 5.8780 | 482 | 0.8237 | 0.2937 | 0.8237 | 0.9076 |
| No log | 5.9024 | 484 | 0.8158 | 0.3162 | 0.8158 | 0.9032 |
| No log | 5.9268 | 486 | 0.7896 | 0.3470 | 0.7896 | 0.8886 |
| No log | 5.9512 | 488 | 0.7853 | 0.3470 | 0.7853 | 0.8862 |
| No log | 5.9756 | 490 | 0.7713 | 0.3818 | 0.7713 | 0.8783 |
| No log | 6.0 | 492 | 0.7705 | 0.3926 | 0.7705 | 0.8778 |
| No log | 6.0244 | 494 | 0.7566 | 0.4533 | 0.7566 | 0.8699 |
| No log | 6.0488 | 496 | 0.7416 | 0.4278 | 0.7416 | 0.8612 |
| No log | 6.0732 | 498 | 0.7431 | 0.3417 | 0.7431 | 0.8620 |
| 0.4153 | 6.0976 | 500 | 0.7380 | 0.3946 | 0.7380 | 0.8591 |
| 0.4153 | 6.1220 | 502 | 0.7244 | 0.4658 | 0.7244 | 0.8511 |
| 0.4153 | 6.1463 | 504 | 0.7238 | 0.4778 | 0.7238 | 0.8507 |
| 0.4153 | 6.1707 | 506 | 0.7166 | 0.4962 | 0.7166 | 0.8465 |
| 0.4153 | 6.1951 | 508 | 0.7050 | 0.5018 | 0.7050 | 0.8396 |
| 0.4153 | 6.2195 | 510 | 0.7060 | 0.4394 | 0.7060 | 0.8402 |
| 0.4153 | 6.2439 | 512 | 0.7068 | 0.4126 | 0.7068 | 0.8407 |
| 0.4153 | 6.2683 | 514 | 0.7024 | 0.4268 | 0.7024 | 0.8381 |
| 0.4153 | 6.2927 | 516 | 0.7100 | 0.4382 | 0.7100 | 0.8426 |
| 0.4153 | 6.3171 | 518 | 0.7269 | 0.3902 | 0.7269 | 0.8526 |
| 0.4153 | 6.3415 | 520 | 0.7357 | 0.3409 | 0.7357 | 0.8578 |
| 0.4153 | 6.3659 | 522 | 0.7419 | 0.3861 | 0.7419 | 0.8613 |
| 0.4153 | 6.3902 | 524 | 0.7750 | 0.3690 | 0.7750 | 0.8803 |
| 0.4153 | 6.4146 | 526 | 0.8173 | 0.3780 | 0.8173 | 0.9041 |
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_run3_AugV5_k16_task7_organization
Base model
aubmindlab/bert-base-arabertv02