ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k11_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: 0.6591
- Qwk: 0.5963
- Mse: 0.6591
- Rmse: 0.8118
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 | 0.0556 | 2 | 4.3305 | 0.0138 | 4.3305 | 2.0810 |
| No log | 0.1111 | 4 | 2.4410 | 0.0301 | 2.4410 | 1.5624 |
| No log | 0.1667 | 6 | 1.4279 | 0.0 | 1.4279 | 1.1950 |
| No log | 0.2222 | 8 | 1.0606 | 0.375 | 1.0606 | 1.0298 |
| No log | 0.2778 | 10 | 1.0393 | 0.3519 | 1.0393 | 1.0195 |
| No log | 0.3333 | 12 | 1.1853 | 0.0201 | 1.1853 | 1.0887 |
| No log | 0.3889 | 14 | 1.3117 | 0.0 | 1.3117 | 1.1453 |
| No log | 0.4444 | 16 | 1.2800 | 0.0 | 1.2800 | 1.1314 |
| No log | 0.5 | 18 | 1.3159 | 0.0 | 1.3159 | 1.1471 |
| No log | 0.5556 | 20 | 1.3959 | 0.0 | 1.3959 | 1.1815 |
| No log | 0.6111 | 22 | 1.3638 | 0.0 | 1.3638 | 1.1678 |
| No log | 0.6667 | 24 | 1.2999 | 0.0 | 1.2999 | 1.1401 |
| No log | 0.7222 | 26 | 1.1893 | 0.1407 | 1.1893 | 1.0905 |
| No log | 0.7778 | 28 | 1.1566 | 0.1764 | 1.1566 | 1.0754 |
| No log | 0.8333 | 30 | 1.1526 | 0.1591 | 1.1526 | 1.0736 |
| No log | 0.8889 | 32 | 1.1581 | 0.2125 | 1.1581 | 1.0762 |
| No log | 0.9444 | 34 | 1.1946 | 0.1618 | 1.1946 | 1.0930 |
| No log | 1.0 | 36 | 1.1673 | 0.1444 | 1.1673 | 1.0804 |
| No log | 1.0556 | 38 | 1.1658 | 0.1028 | 1.1658 | 1.0797 |
| No log | 1.1111 | 40 | 1.3275 | 0.0116 | 1.3275 | 1.1522 |
| No log | 1.1667 | 42 | 1.4147 | 0.0 | 1.4147 | 1.1894 |
| No log | 1.2222 | 44 | 1.3718 | 0.1886 | 1.3718 | 1.1712 |
| No log | 1.2778 | 46 | 1.1501 | 0.1268 | 1.1501 | 1.0724 |
| No log | 1.3333 | 48 | 1.2534 | 0.2590 | 1.2534 | 1.1196 |
| No log | 1.3889 | 50 | 1.3482 | 0.2002 | 1.3482 | 1.1611 |
| No log | 1.4444 | 52 | 1.2281 | 0.1810 | 1.2281 | 1.1082 |
| No log | 1.5 | 54 | 0.9890 | 0.2015 | 0.9890 | 0.9945 |
| No log | 1.5556 | 56 | 1.0263 | 0.1908 | 1.0263 | 1.0131 |
| No log | 1.6111 | 58 | 0.9921 | 0.2179 | 0.9921 | 0.9960 |
| No log | 1.6667 | 60 | 1.0699 | 0.1971 | 1.0699 | 1.0344 |
| No log | 1.7222 | 62 | 1.1108 | 0.1482 | 1.1108 | 1.0539 |
| No log | 1.7778 | 64 | 1.1610 | 0.2367 | 1.1610 | 1.0775 |
| No log | 1.8333 | 66 | 1.0679 | 0.1901 | 1.0679 | 1.0334 |
| No log | 1.8889 | 68 | 1.0077 | 0.0912 | 1.0077 | 1.0039 |
| No log | 1.9444 | 70 | 0.9418 | 0.3314 | 0.9418 | 0.9705 |
| No log | 2.0 | 72 | 0.9217 | 0.3209 | 0.9217 | 0.9600 |
| No log | 2.0556 | 74 | 0.8975 | 0.2974 | 0.8975 | 0.9474 |
| No log | 2.1111 | 76 | 0.9137 | 0.3236 | 0.9137 | 0.9559 |
| No log | 2.1667 | 78 | 0.9046 | 0.2689 | 0.9046 | 0.9511 |
| No log | 2.2222 | 80 | 0.9009 | 0.4710 | 0.9009 | 0.9492 |
| No log | 2.2778 | 82 | 1.2362 | 0.3310 | 1.2362 | 1.1119 |
| No log | 2.3333 | 84 | 1.2833 | 0.3191 | 1.2833 | 1.1328 |
| No log | 2.3889 | 86 | 1.1297 | 0.4030 | 1.1297 | 1.0629 |
| No log | 2.4444 | 88 | 0.9440 | 0.3879 | 0.9440 | 0.9716 |
| No log | 2.5 | 90 | 0.9082 | 0.4597 | 0.9082 | 0.9530 |
| No log | 2.5556 | 92 | 0.8538 | 0.4847 | 0.8538 | 0.9240 |
| No log | 2.6111 | 94 | 0.8630 | 0.4478 | 0.8630 | 0.9290 |
| No log | 2.6667 | 96 | 0.9605 | 0.4812 | 0.9605 | 0.9801 |
| No log | 2.7222 | 98 | 0.9795 | 0.4444 | 0.9795 | 0.9897 |
| No log | 2.7778 | 100 | 0.9741 | 0.3976 | 0.9741 | 0.9869 |
| No log | 2.8333 | 102 | 0.8584 | 0.4730 | 0.8584 | 0.9265 |
| No log | 2.8889 | 104 | 0.8039 | 0.4180 | 0.8039 | 0.8966 |
| No log | 2.9444 | 106 | 0.8040 | 0.3215 | 0.8040 | 0.8967 |
| No log | 3.0 | 108 | 0.8198 | 0.3878 | 0.8198 | 0.9054 |
| No log | 3.0556 | 110 | 0.9783 | 0.4292 | 0.9783 | 0.9891 |
| No log | 3.1111 | 112 | 1.0618 | 0.2864 | 1.0618 | 1.0304 |
| No log | 3.1667 | 114 | 0.9251 | 0.4681 | 0.9251 | 0.9618 |
| No log | 3.2222 | 116 | 0.9006 | 0.4220 | 0.9006 | 0.9490 |
| No log | 3.2778 | 118 | 0.9300 | 0.4460 | 0.9300 | 0.9644 |
| No log | 3.3333 | 120 | 1.0024 | 0.4150 | 1.0024 | 1.0012 |
| No log | 3.3889 | 122 | 1.0828 | 0.3913 | 1.0828 | 1.0406 |
| No log | 3.4444 | 124 | 0.9995 | 0.2958 | 0.9995 | 0.9997 |
| No log | 3.5 | 126 | 1.0351 | 0.4018 | 1.0351 | 1.0174 |
| No log | 3.5556 | 128 | 1.0149 | 0.4356 | 1.0149 | 1.0074 |
| No log | 3.6111 | 130 | 0.9742 | 0.5134 | 0.9742 | 0.9870 |
| No log | 3.6667 | 132 | 0.9456 | 0.4310 | 0.9456 | 0.9724 |
| No log | 3.7222 | 134 | 0.8921 | 0.4209 | 0.8921 | 0.9445 |
| No log | 3.7778 | 136 | 0.8227 | 0.4878 | 0.8227 | 0.9070 |
| No log | 3.8333 | 138 | 0.8418 | 0.4862 | 0.8418 | 0.9175 |
| No log | 3.8889 | 140 | 0.8811 | 0.4812 | 0.8811 | 0.9387 |
| No log | 3.9444 | 142 | 0.8980 | 0.4214 | 0.8980 | 0.9476 |
| No log | 4.0 | 144 | 0.8930 | 0.3327 | 0.8930 | 0.9450 |
| No log | 4.0556 | 146 | 0.9073 | 0.3715 | 0.9073 | 0.9525 |
| No log | 4.1111 | 148 | 0.9100 | 0.2951 | 0.9100 | 0.9540 |
| No log | 4.1667 | 150 | 0.9587 | 0.4532 | 0.9587 | 0.9791 |
| No log | 4.2222 | 152 | 0.9466 | 0.4532 | 0.9466 | 0.9729 |
| No log | 4.2778 | 154 | 0.9154 | 0.4284 | 0.9154 | 0.9568 |
| No log | 4.3333 | 156 | 0.8959 | 0.4370 | 0.8959 | 0.9465 |
| No log | 4.3889 | 158 | 0.8560 | 0.4577 | 0.8560 | 0.9252 |
| No log | 4.4444 | 160 | 0.8535 | 0.4761 | 0.8535 | 0.9239 |
| No log | 4.5 | 162 | 0.8304 | 0.5491 | 0.8304 | 0.9113 |
| No log | 4.5556 | 164 | 0.8089 | 0.5481 | 0.8089 | 0.8994 |
| No log | 4.6111 | 166 | 0.7916 | 0.5578 | 0.7916 | 0.8897 |
| No log | 4.6667 | 168 | 0.8367 | 0.5854 | 0.8367 | 0.9147 |
| No log | 4.7222 | 170 | 0.8985 | 0.56 | 0.8985 | 0.9479 |
| No log | 4.7778 | 172 | 0.7912 | 0.5305 | 0.7912 | 0.8895 |
| No log | 4.8333 | 174 | 0.7544 | 0.5418 | 0.7544 | 0.8686 |
| No log | 4.8889 | 176 | 0.7573 | 0.4737 | 0.7573 | 0.8703 |
| No log | 4.9444 | 178 | 0.8077 | 0.5450 | 0.8077 | 0.8987 |
| No log | 5.0 | 180 | 1.0517 | 0.4430 | 1.0517 | 1.0255 |
| No log | 5.0556 | 182 | 1.1155 | 0.4036 | 1.1155 | 1.0562 |
| No log | 5.1111 | 184 | 0.9098 | 0.4202 | 0.9098 | 0.9538 |
| No log | 5.1667 | 186 | 0.7624 | 0.4646 | 0.7624 | 0.8732 |
| No log | 5.2222 | 188 | 0.7649 | 0.4646 | 0.7649 | 0.8746 |
| No log | 5.2778 | 190 | 0.7776 | 0.4754 | 0.7776 | 0.8818 |
| No log | 5.3333 | 192 | 0.8340 | 0.4476 | 0.8340 | 0.9133 |
| No log | 5.3889 | 194 | 0.9766 | 0.4458 | 0.9766 | 0.9882 |
| No log | 5.4444 | 196 | 1.0456 | 0.3942 | 1.0456 | 1.0226 |
| No log | 5.5 | 198 | 0.9209 | 0.4787 | 0.9209 | 0.9596 |
| No log | 5.5556 | 200 | 0.8602 | 0.4115 | 0.8602 | 0.9275 |
| No log | 5.6111 | 202 | 0.9314 | 0.5332 | 0.9314 | 0.9651 |
| No log | 5.6667 | 204 | 1.0431 | 0.4050 | 1.0431 | 1.0213 |
| No log | 5.7222 | 206 | 1.0216 | 0.4158 | 1.0216 | 1.0107 |
| No log | 5.7778 | 208 | 0.7954 | 0.5153 | 0.7954 | 0.8919 |
| No log | 5.8333 | 210 | 0.7075 | 0.5260 | 0.7075 | 0.8411 |
| No log | 5.8889 | 212 | 0.6909 | 0.5260 | 0.6909 | 0.8312 |
| No log | 5.9444 | 214 | 0.7052 | 0.5698 | 0.7052 | 0.8398 |
| No log | 6.0 | 216 | 0.7275 | 0.5663 | 0.7275 | 0.8529 |
| No log | 6.0556 | 218 | 0.6782 | 0.5932 | 0.6782 | 0.8235 |
| No log | 6.1111 | 220 | 0.6638 | 0.5820 | 0.6638 | 0.8147 |
| No log | 6.1667 | 222 | 0.6929 | 0.6043 | 0.6929 | 0.8324 |
| No log | 6.2222 | 224 | 0.6955 | 0.5712 | 0.6955 | 0.8340 |
| No log | 6.2778 | 226 | 0.6901 | 0.4932 | 0.6901 | 0.8307 |
| No log | 6.3333 | 228 | 0.7798 | 0.5019 | 0.7798 | 0.8831 |
| No log | 6.3889 | 230 | 0.8147 | 0.4214 | 0.8147 | 0.9026 |
| No log | 6.4444 | 232 | 0.7462 | 0.4461 | 0.7462 | 0.8638 |
| No log | 6.5 | 234 | 0.7357 | 0.4388 | 0.7357 | 0.8577 |
| No log | 6.5556 | 236 | 0.7249 | 0.4660 | 0.7249 | 0.8514 |
| No log | 6.6111 | 238 | 0.7196 | 0.4831 | 0.7196 | 0.8483 |
| No log | 6.6667 | 240 | 0.7559 | 0.4903 | 0.7559 | 0.8694 |
| No log | 6.7222 | 242 | 0.7224 | 0.5696 | 0.7224 | 0.8499 |
| No log | 6.7778 | 244 | 0.6695 | 0.5505 | 0.6695 | 0.8182 |
| No log | 6.8333 | 246 | 0.6662 | 0.5443 | 0.6662 | 0.8162 |
| No log | 6.8889 | 248 | 0.6454 | 0.5724 | 0.6454 | 0.8033 |
| No log | 6.9444 | 250 | 0.6673 | 0.5490 | 0.6673 | 0.8169 |
| No log | 7.0 | 252 | 0.6926 | 0.4478 | 0.6926 | 0.8322 |
| No log | 7.0556 | 254 | 0.7320 | 0.4562 | 0.7320 | 0.8556 |
| No log | 7.1111 | 256 | 0.6797 | 0.4063 | 0.6797 | 0.8244 |
| No log | 7.1667 | 258 | 0.6625 | 0.5149 | 0.6625 | 0.8139 |
| No log | 7.2222 | 260 | 0.6755 | 0.4337 | 0.6755 | 0.8219 |
| No log | 7.2778 | 262 | 0.7221 | 0.3922 | 0.7221 | 0.8497 |
| No log | 7.3333 | 264 | 0.8162 | 0.4562 | 0.8162 | 0.9035 |
| No log | 7.3889 | 266 | 0.8058 | 0.4180 | 0.8058 | 0.8976 |
| No log | 7.4444 | 268 | 0.7772 | 0.3682 | 0.7772 | 0.8816 |
| No log | 7.5 | 270 | 0.7773 | 0.3393 | 0.7773 | 0.8816 |
| No log | 7.5556 | 272 | 0.7770 | 0.3424 | 0.7770 | 0.8815 |
| No log | 7.6111 | 274 | 0.7705 | 0.4075 | 0.7705 | 0.8778 |
| No log | 7.6667 | 276 | 0.7845 | 0.4586 | 0.7845 | 0.8857 |
| No log | 7.7222 | 278 | 0.7674 | 0.4343 | 0.7674 | 0.8760 |
| No log | 7.7778 | 280 | 0.8043 | 0.4318 | 0.8043 | 0.8968 |
| No log | 7.8333 | 282 | 0.8432 | 0.4310 | 0.8432 | 0.9183 |
| No log | 7.8889 | 284 | 0.7971 | 0.4318 | 0.7971 | 0.8928 |
| No log | 7.9444 | 286 | 0.7644 | 0.4456 | 0.7644 | 0.8743 |
| No log | 8.0 | 288 | 0.8110 | 0.4318 | 0.8110 | 0.9006 |
| No log | 8.0556 | 290 | 0.8721 | 0.4666 | 0.8721 | 0.9339 |
| No log | 8.1111 | 292 | 0.7776 | 0.4935 | 0.7776 | 0.8818 |
| No log | 8.1667 | 294 | 0.6953 | 0.5522 | 0.6953 | 0.8339 |
| No log | 8.2222 | 296 | 0.7041 | 0.5569 | 0.7041 | 0.8391 |
| No log | 8.2778 | 298 | 0.7046 | 0.5419 | 0.7046 | 0.8394 |
| No log | 8.3333 | 300 | 0.7069 | 0.5575 | 0.7069 | 0.8408 |
| No log | 8.3889 | 302 | 0.7078 | 0.4975 | 0.7078 | 0.8413 |
| No log | 8.4444 | 304 | 0.7096 | 0.6057 | 0.7096 | 0.8424 |
| No log | 8.5 | 306 | 0.7313 | 0.5217 | 0.7313 | 0.8551 |
| No log | 8.5556 | 308 | 0.7830 | 0.4331 | 0.7830 | 0.8849 |
| No log | 8.6111 | 310 | 0.7655 | 0.4671 | 0.7655 | 0.8749 |
| No log | 8.6667 | 312 | 0.7160 | 0.5089 | 0.7160 | 0.8461 |
| No log | 8.7222 | 314 | 0.7180 | 0.5093 | 0.7180 | 0.8474 |
| No log | 8.7778 | 316 | 0.7056 | 0.5428 | 0.7056 | 0.8400 |
| No log | 8.8333 | 318 | 0.6965 | 0.5396 | 0.6965 | 0.8346 |
| No log | 8.8889 | 320 | 0.6724 | 0.6345 | 0.6724 | 0.8200 |
| No log | 8.9444 | 322 | 0.6754 | 0.5540 | 0.6754 | 0.8219 |
| No log | 9.0 | 324 | 0.6737 | 0.5429 | 0.6737 | 0.8208 |
| No log | 9.0556 | 326 | 0.6454 | 0.5724 | 0.6454 | 0.8034 |
| No log | 9.1111 | 328 | 0.6846 | 0.5561 | 0.6846 | 0.8274 |
| No log | 9.1667 | 330 | 0.7688 | 0.4450 | 0.7688 | 0.8768 |
| No log | 9.2222 | 332 | 0.7646 | 0.4686 | 0.7646 | 0.8744 |
| No log | 9.2778 | 334 | 0.6894 | 0.5188 | 0.6894 | 0.8303 |
| No log | 9.3333 | 336 | 0.7202 | 0.5383 | 0.7202 | 0.8487 |
| No log | 9.3889 | 338 | 0.7143 | 0.5686 | 0.7143 | 0.8451 |
| No log | 9.4444 | 340 | 0.6782 | 0.5395 | 0.6782 | 0.8235 |
| No log | 9.5 | 342 | 0.6511 | 0.5877 | 0.6511 | 0.8069 |
| No log | 9.5556 | 344 | 0.6601 | 0.5719 | 0.6601 | 0.8125 |
| No log | 9.6111 | 346 | 0.7428 | 0.5555 | 0.7428 | 0.8619 |
| No log | 9.6667 | 348 | 0.8160 | 0.5526 | 0.8160 | 0.9033 |
| No log | 9.7222 | 350 | 0.7765 | 0.5725 | 0.7765 | 0.8812 |
| No log | 9.7778 | 352 | 0.6689 | 0.6083 | 0.6689 | 0.8178 |
| No log | 9.8333 | 354 | 0.6520 | 0.5987 | 0.6520 | 0.8075 |
| No log | 9.8889 | 356 | 0.6490 | 0.6598 | 0.6490 | 0.8056 |
| No log | 9.9444 | 358 | 0.6559 | 0.6015 | 0.6559 | 0.8099 |
| No log | 10.0 | 360 | 0.6484 | 0.6589 | 0.6484 | 0.8052 |
| No log | 10.0556 | 362 | 0.6586 | 0.5711 | 0.6586 | 0.8115 |
| No log | 10.1111 | 364 | 0.6660 | 0.6048 | 0.6660 | 0.8161 |
| No log | 10.1667 | 366 | 0.7135 | 0.5645 | 0.7135 | 0.8447 |
| No log | 10.2222 | 368 | 0.7586 | 0.5036 | 0.7586 | 0.8710 |
| No log | 10.2778 | 370 | 0.7014 | 0.5565 | 0.7014 | 0.8375 |
| No log | 10.3333 | 372 | 0.6463 | 0.6499 | 0.6463 | 0.8040 |
| No log | 10.3889 | 374 | 0.6437 | 0.6578 | 0.6437 | 0.8023 |
| No log | 10.4444 | 376 | 0.6340 | 0.6610 | 0.6340 | 0.7963 |
| No log | 10.5 | 378 | 0.6496 | 0.6488 | 0.6496 | 0.8060 |
| No log | 10.5556 | 380 | 0.6573 | 0.6087 | 0.6573 | 0.8107 |
| No log | 10.6111 | 382 | 0.6563 | 0.5977 | 0.6563 | 0.8101 |
| No log | 10.6667 | 384 | 0.6376 | 0.6724 | 0.6376 | 0.7985 |
| No log | 10.7222 | 386 | 0.6487 | 0.6446 | 0.6487 | 0.8054 |
| No log | 10.7778 | 388 | 0.6410 | 0.6764 | 0.6410 | 0.8006 |
| No log | 10.8333 | 390 | 0.6325 | 0.6720 | 0.6325 | 0.7953 |
| No log | 10.8889 | 392 | 0.6523 | 0.5955 | 0.6523 | 0.8077 |
| No log | 10.9444 | 394 | 0.6680 | 0.5955 | 0.6680 | 0.8173 |
| No log | 11.0 | 396 | 0.6630 | 0.5961 | 0.6630 | 0.8142 |
| No log | 11.0556 | 398 | 0.6677 | 0.6102 | 0.6677 | 0.8172 |
| No log | 11.1111 | 400 | 0.6869 | 0.6003 | 0.6869 | 0.8288 |
| No log | 11.1667 | 402 | 0.6728 | 0.6065 | 0.6728 | 0.8202 |
| No log | 11.2222 | 404 | 0.6840 | 0.4750 | 0.6840 | 0.8270 |
| No log | 11.2778 | 406 | 0.7262 | 0.5245 | 0.7262 | 0.8522 |
| No log | 11.3333 | 408 | 0.6937 | 0.5232 | 0.6937 | 0.8329 |
| No log | 11.3889 | 410 | 0.6554 | 0.6380 | 0.6554 | 0.8096 |
| No log | 11.4444 | 412 | 0.6942 | 0.5429 | 0.6942 | 0.8332 |
| No log | 11.5 | 414 | 0.7538 | 0.5160 | 0.7538 | 0.8682 |
| No log | 11.5556 | 416 | 0.7588 | 0.5181 | 0.7588 | 0.8711 |
| No log | 11.6111 | 418 | 0.6724 | 0.5763 | 0.6724 | 0.8200 |
| No log | 11.6667 | 420 | 0.6381 | 0.6196 | 0.6381 | 0.7988 |
| No log | 11.7222 | 422 | 0.6646 | 0.5650 | 0.6646 | 0.8153 |
| No log | 11.7778 | 424 | 0.6808 | 0.5103 | 0.6808 | 0.8251 |
| No log | 11.8333 | 426 | 0.6621 | 0.5795 | 0.6621 | 0.8137 |
| No log | 11.8889 | 428 | 0.6509 | 0.6107 | 0.6509 | 0.8068 |
| No log | 11.9444 | 430 | 0.6924 | 0.5305 | 0.6924 | 0.8321 |
| No log | 12.0 | 432 | 0.7243 | 0.5342 | 0.7243 | 0.8511 |
| No log | 12.0556 | 434 | 0.6580 | 0.5895 | 0.6580 | 0.8112 |
| No log | 12.1111 | 436 | 0.6483 | 0.5737 | 0.6483 | 0.8052 |
| No log | 12.1667 | 438 | 0.7077 | 0.5348 | 0.7077 | 0.8412 |
| No log | 12.2222 | 440 | 0.6984 | 0.5348 | 0.6984 | 0.8357 |
| No log | 12.2778 | 442 | 0.6413 | 0.6225 | 0.6413 | 0.8008 |
| No log | 12.3333 | 444 | 0.6521 | 0.6451 | 0.6521 | 0.8075 |
| No log | 12.3889 | 446 | 0.6771 | 0.6151 | 0.6771 | 0.8229 |
| No log | 12.4444 | 448 | 0.6407 | 0.6012 | 0.6407 | 0.8004 |
| No log | 12.5 | 450 | 0.6468 | 0.5770 | 0.6468 | 0.8043 |
| No log | 12.5556 | 452 | 0.7290 | 0.5148 | 0.7290 | 0.8538 |
| No log | 12.6111 | 454 | 0.7356 | 0.5148 | 0.7356 | 0.8577 |
| No log | 12.6667 | 456 | 0.6984 | 0.5355 | 0.6984 | 0.8357 |
| No log | 12.7222 | 458 | 0.6875 | 0.5555 | 0.6875 | 0.8292 |
| No log | 12.7778 | 460 | 0.6869 | 0.5301 | 0.6869 | 0.8288 |
| No log | 12.8333 | 462 | 0.6662 | 0.5712 | 0.6662 | 0.8162 |
| No log | 12.8889 | 464 | 0.6552 | 0.6345 | 0.6552 | 0.8094 |
| No log | 12.9444 | 466 | 0.6527 | 0.6306 | 0.6527 | 0.8079 |
| No log | 13.0 | 468 | 0.6657 | 0.5686 | 0.6657 | 0.8159 |
| No log | 13.0556 | 470 | 0.7334 | 0.5236 | 0.7334 | 0.8564 |
| No log | 13.1111 | 472 | 0.6573 | 0.6009 | 0.6573 | 0.8107 |
| No log | 13.1667 | 474 | 0.6235 | 0.6451 | 0.6235 | 0.7896 |
| No log | 13.2222 | 476 | 0.6207 | 0.6451 | 0.6207 | 0.7878 |
| No log | 13.2778 | 478 | 0.6158 | 0.6065 | 0.6158 | 0.7847 |
| No log | 13.3333 | 480 | 0.6271 | 0.6087 | 0.6271 | 0.7919 |
| No log | 13.3889 | 482 | 0.6170 | 0.6087 | 0.6170 | 0.7855 |
| No log | 13.4444 | 484 | 0.6154 | 0.5988 | 0.6154 | 0.7845 |
| No log | 13.5 | 486 | 0.6012 | 0.6507 | 0.6012 | 0.7754 |
| No log | 13.5556 | 488 | 0.5889 | 0.6649 | 0.5889 | 0.7674 |
| No log | 13.6111 | 490 | 0.5926 | 0.6762 | 0.5926 | 0.7698 |
| No log | 13.6667 | 492 | 0.6099 | 0.6699 | 0.6099 | 0.7809 |
| No log | 13.7222 | 494 | 0.6423 | 0.5865 | 0.6423 | 0.8015 |
| No log | 13.7778 | 496 | 0.6325 | 0.6185 | 0.6325 | 0.7953 |
| No log | 13.8333 | 498 | 0.6421 | 0.6672 | 0.6421 | 0.8013 |
| 0.2599 | 13.8889 | 500 | 0.6779 | 0.6189 | 0.6779 | 0.8233 |
| 0.2599 | 13.9444 | 502 | 0.6640 | 0.6337 | 0.6640 | 0.8148 |
| 0.2599 | 14.0 | 504 | 0.6449 | 0.6364 | 0.6449 | 0.8031 |
| 0.2599 | 14.0556 | 506 | 0.6560 | 0.6185 | 0.6560 | 0.8099 |
| 0.2599 | 14.1111 | 508 | 0.6529 | 0.6164 | 0.6529 | 0.8080 |
| 0.2599 | 14.1667 | 510 | 0.6448 | 0.6610 | 0.6448 | 0.8030 |
| 0.2599 | 14.2222 | 512 | 0.6806 | 0.5850 | 0.6806 | 0.8250 |
| 0.2599 | 14.2778 | 514 | 0.7545 | 0.5958 | 0.7545 | 0.8686 |
| 0.2599 | 14.3333 | 516 | 0.7444 | 0.5660 | 0.7444 | 0.8628 |
| 0.2599 | 14.3889 | 518 | 0.6963 | 0.5850 | 0.6963 | 0.8345 |
| 0.2599 | 14.4444 | 520 | 0.6591 | 0.5963 | 0.6591 | 0.8118 |
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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k11_task5_organization
Base model
aubmindlab/bert-base-arabertv02