ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k20_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: 0.8730
- Qwk: 0.5063
- Mse: 0.8730
- Rmse: 0.9344
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 | 0.0177 | 2 | 4.6530 | 0.0129 | 4.6530 | 2.1571 |
| No log | 0.0354 | 4 | 2.8340 | -0.0463 | 2.8340 | 1.6835 |
| No log | 0.0531 | 6 | 1.7816 | 0.0504 | 1.7816 | 1.3348 |
| No log | 0.0708 | 8 | 1.2664 | 0.0811 | 1.2664 | 1.1254 |
| No log | 0.0885 | 10 | 1.1792 | 0.1689 | 1.1792 | 1.0859 |
| No log | 0.1062 | 12 | 1.2133 | 0.1689 | 1.2133 | 1.1015 |
| No log | 0.1239 | 14 | 1.2233 | 0.1470 | 1.2233 | 1.1060 |
| No log | 0.1416 | 16 | 1.3231 | 0.0819 | 1.3231 | 1.1502 |
| No log | 0.1593 | 18 | 2.0167 | 0.0527 | 2.0167 | 1.4201 |
| No log | 0.1770 | 20 | 2.2265 | 0.0322 | 2.2265 | 1.4921 |
| No log | 0.1947 | 22 | 1.9444 | 0.1438 | 1.9444 | 1.3944 |
| No log | 0.2124 | 24 | 1.4698 | 0.2457 | 1.4698 | 1.2123 |
| No log | 0.2301 | 26 | 1.1036 | 0.3142 | 1.1036 | 1.0505 |
| No log | 0.2478 | 28 | 1.0979 | 0.2290 | 1.0979 | 1.0478 |
| No log | 0.2655 | 30 | 1.1098 | 0.2401 | 1.1098 | 1.0534 |
| No log | 0.2832 | 32 | 1.1054 | 0.2556 | 1.1054 | 1.0514 |
| No log | 0.3009 | 34 | 1.1251 | 0.2409 | 1.1251 | 1.0607 |
| No log | 0.3186 | 36 | 1.1654 | 0.2395 | 1.1654 | 1.0795 |
| No log | 0.3363 | 38 | 1.1133 | 0.3683 | 1.1133 | 1.0551 |
| No log | 0.3540 | 40 | 1.0675 | 0.3326 | 1.0675 | 1.0332 |
| No log | 0.3717 | 42 | 1.0326 | 0.3664 | 1.0326 | 1.0162 |
| No log | 0.3894 | 44 | 1.0175 | 0.4469 | 1.0175 | 1.0087 |
| No log | 0.4071 | 46 | 1.0998 | 0.3321 | 1.0998 | 1.0487 |
| No log | 0.4248 | 48 | 1.2027 | 0.3663 | 1.2027 | 1.0967 |
| No log | 0.4425 | 50 | 1.0710 | 0.3656 | 1.0710 | 1.0349 |
| No log | 0.4602 | 52 | 0.9467 | 0.4444 | 0.9467 | 0.9730 |
| No log | 0.4779 | 54 | 0.9381 | 0.4201 | 0.9381 | 0.9686 |
| No log | 0.4956 | 56 | 0.9438 | 0.4631 | 0.9438 | 0.9715 |
| No log | 0.5133 | 58 | 0.9929 | 0.4296 | 0.9929 | 0.9964 |
| No log | 0.5310 | 60 | 1.0101 | 0.5251 | 1.0101 | 1.0050 |
| No log | 0.5487 | 62 | 1.0485 | 0.5283 | 1.0485 | 1.0239 |
| No log | 0.5664 | 64 | 1.0519 | 0.4832 | 1.0519 | 1.0256 |
| No log | 0.5841 | 66 | 1.0359 | 0.5014 | 1.0359 | 1.0178 |
| No log | 0.6018 | 68 | 1.0278 | 0.4726 | 1.0278 | 1.0138 |
| No log | 0.6195 | 70 | 1.0198 | 0.4511 | 1.0198 | 1.0099 |
| No log | 0.6372 | 72 | 0.9678 | 0.4501 | 0.9678 | 0.9838 |
| No log | 0.6549 | 74 | 0.8521 | 0.5893 | 0.8521 | 0.9231 |
| No log | 0.6726 | 76 | 0.8572 | 0.5393 | 0.8572 | 0.9259 |
| No log | 0.6903 | 78 | 1.0162 | 0.4749 | 1.0162 | 1.0081 |
| No log | 0.7080 | 80 | 0.9724 | 0.4440 | 0.9724 | 0.9861 |
| No log | 0.7257 | 82 | 0.8098 | 0.5345 | 0.8098 | 0.8999 |
| No log | 0.7434 | 84 | 0.7838 | 0.5766 | 0.7838 | 0.8853 |
| No log | 0.7611 | 86 | 0.9511 | 0.4696 | 0.9511 | 0.9753 |
| No log | 0.7788 | 88 | 0.9903 | 0.4565 | 0.9903 | 0.9951 |
| No log | 0.7965 | 90 | 0.8681 | 0.5160 | 0.8681 | 0.9317 |
| No log | 0.8142 | 92 | 0.8789 | 0.4846 | 0.8789 | 0.9375 |
| No log | 0.8319 | 94 | 1.0412 | 0.4792 | 1.0412 | 1.0204 |
| No log | 0.8496 | 96 | 1.1390 | 0.4921 | 1.1390 | 1.0672 |
| No log | 0.8673 | 98 | 1.1789 | 0.5050 | 1.1789 | 1.0858 |
| No log | 0.8850 | 100 | 1.1976 | 0.4733 | 1.1976 | 1.0944 |
| No log | 0.9027 | 102 | 1.0632 | 0.3929 | 1.0632 | 1.0311 |
| No log | 0.9204 | 104 | 0.9002 | 0.5201 | 0.9002 | 0.9488 |
| No log | 0.9381 | 106 | 0.8326 | 0.5885 | 0.8326 | 0.9125 |
| No log | 0.9558 | 108 | 0.8451 | 0.5094 | 0.8451 | 0.9193 |
| No log | 0.9735 | 110 | 0.8828 | 0.5025 | 0.8828 | 0.9396 |
| No log | 0.9912 | 112 | 0.9403 | 0.5249 | 0.9403 | 0.9697 |
| No log | 1.0088 | 114 | 1.1123 | 0.4952 | 1.1123 | 1.0546 |
| No log | 1.0265 | 116 | 1.1467 | 0.3723 | 1.1467 | 1.0709 |
| No log | 1.0442 | 118 | 0.9556 | 0.5258 | 0.9556 | 0.9775 |
| No log | 1.0619 | 120 | 0.8222 | 0.5898 | 0.8222 | 0.9067 |
| No log | 1.0796 | 122 | 0.8112 | 0.5443 | 0.8112 | 0.9006 |
| No log | 1.0973 | 124 | 0.8284 | 0.5532 | 0.8284 | 0.9101 |
| No log | 1.1150 | 126 | 0.8342 | 0.6077 | 0.8342 | 0.9133 |
| No log | 1.1327 | 128 | 0.9273 | 0.5393 | 0.9273 | 0.9630 |
| No log | 1.1504 | 130 | 1.0005 | 0.5051 | 1.0005 | 1.0003 |
| No log | 1.1681 | 132 | 1.0376 | 0.4702 | 1.0376 | 1.0186 |
| No log | 1.1858 | 134 | 0.9781 | 0.5260 | 0.9781 | 0.9890 |
| No log | 1.2035 | 136 | 0.8442 | 0.5698 | 0.8442 | 0.9188 |
| No log | 1.2212 | 138 | 0.8239 | 0.5545 | 0.8239 | 0.9077 |
| No log | 1.2389 | 140 | 0.8121 | 0.5545 | 0.8121 | 0.9011 |
| No log | 1.2566 | 142 | 0.8209 | 0.6384 | 0.8209 | 0.9060 |
| No log | 1.2743 | 144 | 0.7865 | 0.5922 | 0.7865 | 0.8868 |
| No log | 1.2920 | 146 | 0.8019 | 0.5922 | 0.8019 | 0.8955 |
| No log | 1.3097 | 148 | 0.9633 | 0.6004 | 0.9633 | 0.9815 |
| No log | 1.3274 | 150 | 1.2361 | 0.4607 | 1.2361 | 1.1118 |
| No log | 1.3451 | 152 | 1.2404 | 0.4426 | 1.2404 | 1.1137 |
| No log | 1.3628 | 154 | 1.0077 | 0.5050 | 1.0077 | 1.0038 |
| No log | 1.3805 | 156 | 0.8200 | 0.5648 | 0.8200 | 0.9055 |
| No log | 1.3982 | 158 | 0.7510 | 0.5370 | 0.7510 | 0.8666 |
| No log | 1.4159 | 160 | 0.7901 | 0.5127 | 0.7901 | 0.8889 |
| No log | 1.4336 | 162 | 0.7969 | 0.5094 | 0.7969 | 0.8927 |
| No log | 1.4513 | 164 | 0.8158 | 0.5702 | 0.8158 | 0.9032 |
| No log | 1.4690 | 166 | 1.0096 | 0.4916 | 1.0096 | 1.0048 |
| No log | 1.4867 | 168 | 1.1921 | 0.4681 | 1.1921 | 1.0919 |
| No log | 1.5044 | 170 | 1.1849 | 0.4612 | 1.1849 | 1.0885 |
| No log | 1.5221 | 172 | 1.1609 | 0.4618 | 1.1609 | 1.0775 |
| No log | 1.5398 | 174 | 1.0585 | 0.5237 | 1.0585 | 1.0288 |
| No log | 1.5575 | 176 | 0.9185 | 0.5958 | 0.9185 | 0.9584 |
| No log | 1.5752 | 178 | 0.8924 | 0.5958 | 0.8924 | 0.9447 |
| No log | 1.5929 | 180 | 0.9097 | 0.6034 | 0.9097 | 0.9538 |
| No log | 1.6106 | 182 | 0.9486 | 0.5375 | 0.9486 | 0.9739 |
| No log | 1.6283 | 184 | 0.9697 | 0.5548 | 0.9697 | 0.9847 |
| No log | 1.6460 | 186 | 1.0241 | 0.5353 | 1.0241 | 1.0120 |
| No log | 1.6637 | 188 | 0.9855 | 0.5014 | 0.9855 | 0.9927 |
| No log | 1.6814 | 190 | 1.0174 | 0.4902 | 1.0174 | 1.0087 |
| No log | 1.6991 | 192 | 1.0474 | 0.4708 | 1.0474 | 1.0234 |
| No log | 1.7168 | 194 | 1.0166 | 0.4545 | 1.0166 | 1.0083 |
| No log | 1.7345 | 196 | 1.0408 | 0.3916 | 1.0408 | 1.0202 |
| No log | 1.7522 | 198 | 1.1155 | 0.3632 | 1.1155 | 1.0562 |
| No log | 1.7699 | 200 | 1.1555 | 0.3767 | 1.1555 | 1.0749 |
| No log | 1.7876 | 202 | 1.0097 | 0.4913 | 1.0097 | 1.0048 |
| No log | 1.8053 | 204 | 0.9183 | 0.6023 | 0.9183 | 0.9583 |
| No log | 1.8230 | 206 | 0.8291 | 0.6171 | 0.8291 | 0.9105 |
| No log | 1.8407 | 208 | 0.8063 | 0.5988 | 0.8063 | 0.8980 |
| No log | 1.8584 | 210 | 0.8186 | 0.6066 | 0.8186 | 0.9047 |
| No log | 1.8761 | 212 | 0.8413 | 0.5649 | 0.8413 | 0.9172 |
| No log | 1.8938 | 214 | 0.9178 | 0.5899 | 0.9178 | 0.9580 |
| No log | 1.9115 | 216 | 0.9205 | 0.5412 | 0.9205 | 0.9594 |
| No log | 1.9292 | 218 | 0.8359 | 0.5844 | 0.8359 | 0.9143 |
| No log | 1.9469 | 220 | 0.8081 | 0.5902 | 0.8081 | 0.8990 |
| No log | 1.9646 | 222 | 0.9095 | 0.5333 | 0.9095 | 0.9537 |
| No log | 1.9823 | 224 | 1.0667 | 0.4918 | 1.0667 | 1.0328 |
| No log | 2.0 | 226 | 1.2466 | 0.5003 | 1.2466 | 1.1165 |
| No log | 2.0177 | 228 | 1.2264 | 0.5003 | 1.2264 | 1.1074 |
| No log | 2.0354 | 230 | 1.1023 | 0.5177 | 1.1023 | 1.0499 |
| No log | 2.0531 | 232 | 0.9725 | 0.5273 | 0.9725 | 0.9861 |
| No log | 2.0708 | 234 | 0.9183 | 0.5261 | 0.9183 | 0.9583 |
| No log | 2.0885 | 236 | 0.9726 | 0.5398 | 0.9726 | 0.9862 |
| No log | 2.1062 | 238 | 0.9447 | 0.5479 | 0.9447 | 0.9720 |
| No log | 2.1239 | 240 | 0.8646 | 0.5810 | 0.8646 | 0.9298 |
| No log | 2.1416 | 242 | 0.8650 | 0.5786 | 0.8650 | 0.9301 |
| No log | 2.1593 | 244 | 0.8852 | 0.5766 | 0.8852 | 0.9409 |
| No log | 2.1770 | 246 | 0.9417 | 0.5726 | 0.9417 | 0.9704 |
| No log | 2.1947 | 248 | 0.9024 | 0.5176 | 0.9024 | 0.9500 |
| No log | 2.2124 | 250 | 0.8799 | 0.5390 | 0.8799 | 0.9380 |
| No log | 2.2301 | 252 | 0.9506 | 0.5393 | 0.9506 | 0.9750 |
| No log | 2.2478 | 254 | 1.0722 | 0.5095 | 1.0722 | 1.0355 |
| No log | 2.2655 | 256 | 0.9753 | 0.5544 | 0.9753 | 0.9875 |
| No log | 2.2832 | 258 | 0.9333 | 0.5292 | 0.9333 | 0.9661 |
| No log | 2.3009 | 260 | 0.8759 | 0.5377 | 0.8759 | 0.9359 |
| No log | 2.3186 | 262 | 0.8621 | 0.5738 | 0.8621 | 0.9285 |
| No log | 2.3363 | 264 | 0.9702 | 0.5153 | 0.9702 | 0.9850 |
| No log | 2.3540 | 266 | 0.9028 | 0.5427 | 0.9028 | 0.9502 |
| No log | 2.3717 | 268 | 0.8014 | 0.5264 | 0.8014 | 0.8952 |
| No log | 2.3894 | 270 | 0.7765 | 0.5291 | 0.7765 | 0.8812 |
| No log | 2.4071 | 272 | 0.8162 | 0.5763 | 0.8162 | 0.9034 |
| No log | 2.4248 | 274 | 0.9270 | 0.5474 | 0.9270 | 0.9628 |
| No log | 2.4425 | 276 | 0.9888 | 0.5171 | 0.9888 | 0.9944 |
| No log | 2.4602 | 278 | 0.9477 | 0.5267 | 0.9477 | 0.9735 |
| No log | 2.4779 | 280 | 0.8011 | 0.5708 | 0.8011 | 0.8951 |
| No log | 2.4956 | 282 | 0.7576 | 0.5519 | 0.7576 | 0.8704 |
| No log | 2.5133 | 284 | 0.7745 | 0.5303 | 0.7745 | 0.8801 |
| No log | 2.5310 | 286 | 0.8182 | 0.5303 | 0.8182 | 0.9045 |
| No log | 2.5487 | 288 | 0.8492 | 0.5447 | 0.8492 | 0.9215 |
| No log | 2.5664 | 290 | 0.7843 | 0.5424 | 0.7843 | 0.8856 |
| No log | 2.5841 | 292 | 0.7679 | 0.5519 | 0.7679 | 0.8763 |
| No log | 2.6018 | 294 | 0.7693 | 0.5610 | 0.7693 | 0.8771 |
| No log | 2.6195 | 296 | 0.7913 | 0.6069 | 0.7913 | 0.8896 |
| No log | 2.6372 | 298 | 0.9052 | 0.5665 | 0.9052 | 0.9514 |
| No log | 2.6549 | 300 | 1.0545 | 0.5271 | 1.0545 | 1.0269 |
| No log | 2.6726 | 302 | 1.0269 | 0.5231 | 1.0269 | 1.0133 |
| No log | 2.6903 | 304 | 0.9165 | 0.6084 | 0.9165 | 0.9574 |
| No log | 2.7080 | 306 | 0.9000 | 0.5976 | 0.9000 | 0.9487 |
| No log | 2.7257 | 308 | 0.9645 | 0.5594 | 0.9645 | 0.9821 |
| No log | 2.7434 | 310 | 1.0746 | 0.5265 | 1.0746 | 1.0366 |
| No log | 2.7611 | 312 | 0.9998 | 0.5572 | 0.9998 | 0.9999 |
| No log | 2.7788 | 314 | 0.8680 | 0.5645 | 0.8680 | 0.9317 |
| No log | 2.7965 | 316 | 0.8381 | 0.5868 | 0.8381 | 0.9155 |
| No log | 2.8142 | 318 | 0.8391 | 0.5937 | 0.8391 | 0.9160 |
| No log | 2.8319 | 320 | 0.8772 | 0.5418 | 0.8772 | 0.9366 |
| No log | 2.8496 | 322 | 0.9099 | 0.4862 | 0.9099 | 0.9539 |
| No log | 2.8673 | 324 | 0.9779 | 0.5059 | 0.9779 | 0.9889 |
| No log | 2.8850 | 326 | 0.9987 | 0.5059 | 0.9987 | 0.9993 |
| No log | 2.9027 | 328 | 0.9589 | 0.4987 | 0.9589 | 0.9793 |
| No log | 2.9204 | 330 | 0.8589 | 0.5951 | 0.8589 | 0.9268 |
| No log | 2.9381 | 332 | 0.8405 | 0.4996 | 0.8405 | 0.9168 |
| No log | 2.9558 | 334 | 0.8216 | 0.4575 | 0.8216 | 0.9064 |
| No log | 2.9735 | 336 | 0.8392 | 0.5752 | 0.8392 | 0.9161 |
| No log | 2.9912 | 338 | 0.9168 | 0.5426 | 0.9168 | 0.9575 |
| No log | 3.0088 | 340 | 0.9503 | 0.4886 | 0.9503 | 0.9749 |
| No log | 3.0265 | 342 | 0.9077 | 0.5333 | 0.9077 | 0.9527 |
| No log | 3.0442 | 344 | 0.8740 | 0.5673 | 0.8740 | 0.9349 |
| No log | 3.0619 | 346 | 0.8631 | 0.5731 | 0.8631 | 0.9290 |
| No log | 3.0796 | 348 | 0.8840 | 0.5731 | 0.8840 | 0.9402 |
| No log | 3.0973 | 350 | 0.9026 | 0.5706 | 0.9026 | 0.9500 |
| No log | 3.1150 | 352 | 0.9294 | 0.5706 | 0.9294 | 0.9641 |
| No log | 3.1327 | 354 | 0.8934 | 0.5731 | 0.8934 | 0.9452 |
| No log | 3.1504 | 356 | 0.8402 | 0.5731 | 0.8402 | 0.9166 |
| No log | 3.1681 | 358 | 0.8440 | 0.6171 | 0.8440 | 0.9187 |
| No log | 3.1858 | 360 | 0.9251 | 0.5249 | 0.9251 | 0.9618 |
| No log | 3.2035 | 362 | 0.8939 | 0.5370 | 0.8939 | 0.9455 |
| No log | 3.2212 | 364 | 0.8927 | 0.5218 | 0.8927 | 0.9448 |
| No log | 3.2389 | 366 | 0.9285 | 0.4902 | 0.9285 | 0.9636 |
| No log | 3.2566 | 368 | 0.9808 | 0.4960 | 0.9808 | 0.9904 |
| No log | 3.2743 | 370 | 0.9801 | 0.4677 | 0.9801 | 0.9900 |
| No log | 3.2920 | 372 | 0.9092 | 0.5245 | 0.9092 | 0.9535 |
| No log | 3.3097 | 374 | 0.8406 | 0.5239 | 0.8406 | 0.9168 |
| No log | 3.3274 | 376 | 0.8216 | 0.5248 | 0.8216 | 0.9064 |
| No log | 3.3451 | 378 | 0.8183 | 0.5523 | 0.8183 | 0.9046 |
| No log | 3.3628 | 380 | 0.9024 | 0.5865 | 0.9024 | 0.9499 |
| No log | 3.3805 | 382 | 1.1282 | 0.4943 | 1.1282 | 1.0621 |
| No log | 3.3982 | 384 | 1.2797 | 0.4851 | 1.2797 | 1.1312 |
| No log | 3.4159 | 386 | 1.2172 | 0.4705 | 1.2172 | 1.1033 |
| No log | 3.4336 | 388 | 1.0509 | 0.5329 | 1.0509 | 1.0251 |
| No log | 3.4513 | 390 | 0.9883 | 0.5787 | 0.9883 | 0.9941 |
| No log | 3.4690 | 392 | 0.9326 | 0.6207 | 0.9326 | 0.9657 |
| No log | 3.4867 | 394 | 0.8619 | 0.5968 | 0.8619 | 0.9284 |
| No log | 3.5044 | 396 | 0.8178 | 0.5696 | 0.8178 | 0.9043 |
| No log | 3.5221 | 398 | 0.8087 | 0.5806 | 0.8087 | 0.8993 |
| No log | 3.5398 | 400 | 0.8403 | 0.5865 | 0.8403 | 0.9167 |
| No log | 3.5575 | 402 | 0.8725 | 0.5769 | 0.8725 | 0.9341 |
| No log | 3.5752 | 404 | 0.8911 | 0.5670 | 0.8911 | 0.9440 |
| No log | 3.5929 | 406 | 0.8810 | 0.6034 | 0.8810 | 0.9386 |
| No log | 3.6106 | 408 | 0.8325 | 0.5656 | 0.8325 | 0.9124 |
| No log | 3.6283 | 410 | 0.8373 | 0.5783 | 0.8373 | 0.9150 |
| No log | 3.6460 | 412 | 0.9149 | 0.5913 | 0.9149 | 0.9565 |
| No log | 3.6637 | 414 | 0.8802 | 0.6034 | 0.8802 | 0.9382 |
| No log | 3.6814 | 416 | 0.8030 | 0.6082 | 0.8030 | 0.8961 |
| No log | 3.6991 | 418 | 0.8178 | 0.5992 | 0.8178 | 0.9043 |
| No log | 3.7168 | 420 | 0.8152 | 0.5738 | 0.8152 | 0.9029 |
| No log | 3.7345 | 422 | 0.8389 | 0.5636 | 0.8389 | 0.9159 |
| No log | 3.7522 | 424 | 0.8209 | 0.5659 | 0.8209 | 0.9060 |
| No log | 3.7699 | 426 | 0.8157 | 0.5601 | 0.8157 | 0.9032 |
| No log | 3.7876 | 428 | 0.8007 | 0.5451 | 0.8007 | 0.8948 |
| No log | 3.8053 | 430 | 0.8362 | 0.5601 | 0.8362 | 0.9145 |
| No log | 3.8230 | 432 | 0.8967 | 0.5451 | 0.8967 | 0.9469 |
| No log | 3.8407 | 434 | 0.9055 | 0.5513 | 0.9055 | 0.9516 |
| No log | 3.8584 | 436 | 0.9026 | 0.5224 | 0.9026 | 0.9500 |
| No log | 3.8761 | 438 | 0.8774 | 0.5166 | 0.8774 | 0.9367 |
| No log | 3.8938 | 440 | 0.8533 | 0.54 | 0.8533 | 0.9237 |
| No log | 3.9115 | 442 | 0.8043 | 0.5124 | 0.8043 | 0.8968 |
| No log | 3.9292 | 444 | 0.7571 | 0.5770 | 0.7571 | 0.8701 |
| No log | 3.9469 | 446 | 0.7299 | 0.6227 | 0.7299 | 0.8544 |
| No log | 3.9646 | 448 | 0.7208 | 0.6444 | 0.7208 | 0.8490 |
| No log | 3.9823 | 450 | 0.7328 | 0.6646 | 0.7328 | 0.8560 |
| No log | 4.0 | 452 | 0.7666 | 0.6249 | 0.7666 | 0.8756 |
| No log | 4.0177 | 454 | 0.8418 | 0.5716 | 0.8418 | 0.9175 |
| No log | 4.0354 | 456 | 0.8939 | 0.5040 | 0.8939 | 0.9454 |
| No log | 4.0531 | 458 | 0.9003 | 0.5040 | 0.9003 | 0.9489 |
| No log | 4.0708 | 460 | 0.8819 | 0.5637 | 0.8819 | 0.9391 |
| No log | 4.0885 | 462 | 0.9156 | 0.5513 | 0.9156 | 0.9569 |
| No log | 4.1062 | 464 | 0.9694 | 0.5101 | 0.9694 | 0.9846 |
| No log | 4.1239 | 466 | 0.9067 | 0.5614 | 0.9067 | 0.9522 |
| No log | 4.1416 | 468 | 0.8279 | 0.5753 | 0.8279 | 0.9099 |
| No log | 4.1593 | 470 | 0.8097 | 0.5455 | 0.8097 | 0.8998 |
| No log | 4.1770 | 472 | 0.7879 | 0.5381 | 0.7879 | 0.8876 |
| No log | 4.1947 | 474 | 0.7953 | 0.5501 | 0.7953 | 0.8918 |
| No log | 4.2124 | 476 | 0.8825 | 0.5556 | 0.8825 | 0.9394 |
| No log | 4.2301 | 478 | 1.0188 | 0.4810 | 1.0188 | 1.0093 |
| No log | 4.2478 | 480 | 1.0348 | 0.4810 | 1.0348 | 1.0173 |
| No log | 4.2655 | 482 | 0.9933 | 0.4820 | 0.9933 | 0.9967 |
| No log | 4.2832 | 484 | 0.9676 | 0.4936 | 0.9676 | 0.9837 |
| No log | 4.3009 | 486 | 0.9100 | 0.5532 | 0.9100 | 0.9539 |
| No log | 4.3186 | 488 | 0.8233 | 0.5756 | 0.8233 | 0.9074 |
| No log | 4.3363 | 490 | 0.7701 | 0.5862 | 0.7701 | 0.8776 |
| No log | 4.3540 | 492 | 0.7894 | 0.6056 | 0.7894 | 0.8885 |
| No log | 4.3717 | 494 | 0.8591 | 0.5945 | 0.8591 | 0.9269 |
| No log | 4.3894 | 496 | 0.9127 | 0.5530 | 0.9127 | 0.9553 |
| No log | 4.4071 | 498 | 0.8337 | 0.5841 | 0.8337 | 0.9131 |
| 0.3344 | 4.4248 | 500 | 0.8238 | 0.5562 | 0.8238 | 0.9076 |
| 0.3344 | 4.4425 | 502 | 0.8092 | 0.5272 | 0.8092 | 0.8995 |
| 0.3344 | 4.4602 | 504 | 0.8031 | 0.5733 | 0.8031 | 0.8962 |
| 0.3344 | 4.4779 | 506 | 0.8419 | 0.5365 | 0.8419 | 0.9176 |
| 0.3344 | 4.4956 | 508 | 0.9024 | 0.5268 | 0.9024 | 0.9500 |
| 0.3344 | 4.5133 | 510 | 0.9449 | 0.4133 | 0.9449 | 0.9721 |
| 0.3344 | 4.5310 | 512 | 0.8928 | 0.5063 | 0.8928 | 0.9449 |
| 0.3344 | 4.5487 | 514 | 0.8730 | 0.5063 | 0.8730 | 0.9344 |
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_run1_AugV5_k20_task2_organization
Base model
aubmindlab/bert-base-arabertv02