ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k4_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: 0.7980
- Qwk: 0.4273
- Mse: 0.7980
- Rmse: 0.8933
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 | 0.1333 | 2 | 4.5806 | 0.0010 | 4.5806 | 2.1402 |
| No log | 0.2667 | 4 | 2.7165 | 0.0309 | 2.7165 | 1.6482 |
| No log | 0.4 | 6 | 1.9886 | 0.1075 | 1.9886 | 1.4102 |
| No log | 0.5333 | 8 | 1.4802 | 0.0372 | 1.4801 | 1.2166 |
| No log | 0.6667 | 10 | 1.3326 | -0.0451 | 1.3326 | 1.1544 |
| No log | 0.8 | 12 | 1.3212 | 0.0473 | 1.3212 | 1.1495 |
| No log | 0.9333 | 14 | 1.3024 | 0.0768 | 1.3024 | 1.1412 |
| No log | 1.0667 | 16 | 1.5182 | 0.0936 | 1.5182 | 1.2321 |
| No log | 1.2 | 18 | 1.2614 | 0.0741 | 1.2614 | 1.1231 |
| No log | 1.3333 | 20 | 1.2609 | 0.1557 | 1.2609 | 1.1229 |
| No log | 1.4667 | 22 | 1.1827 | 0.3042 | 1.1827 | 1.0875 |
| No log | 1.6 | 24 | 1.1701 | 0.2231 | 1.1701 | 1.0817 |
| No log | 1.7333 | 26 | 1.1554 | 0.2966 | 1.1554 | 1.0749 |
| No log | 1.8667 | 28 | 1.2300 | 0.1862 | 1.2300 | 1.1091 |
| No log | 2.0 | 30 | 1.2613 | 0.2240 | 1.2613 | 1.1231 |
| No log | 2.1333 | 32 | 1.0967 | 0.4235 | 1.0967 | 1.0472 |
| No log | 2.2667 | 34 | 1.0763 | 0.4235 | 1.0763 | 1.0374 |
| No log | 2.4 | 36 | 1.0382 | 0.4671 | 1.0382 | 1.0189 |
| No log | 2.5333 | 38 | 1.2155 | 0.2325 | 1.2155 | 1.1025 |
| No log | 2.6667 | 40 | 1.1364 | 0.2143 | 1.1364 | 1.0660 |
| No log | 2.8 | 42 | 0.9996 | 0.4975 | 0.9996 | 0.9998 |
| No log | 2.9333 | 44 | 1.1045 | 0.3835 | 1.1045 | 1.0510 |
| No log | 3.0667 | 46 | 1.1828 | 0.3210 | 1.1828 | 1.0876 |
| No log | 3.2 | 48 | 1.4773 | 0.2943 | 1.4773 | 1.2154 |
| No log | 3.3333 | 50 | 1.5401 | 0.2815 | 1.5401 | 1.2410 |
| No log | 3.4667 | 52 | 1.0327 | 0.4685 | 1.0327 | 1.0162 |
| No log | 3.6 | 54 | 0.9170 | 0.5350 | 0.9170 | 0.9576 |
| No log | 3.7333 | 56 | 0.9371 | 0.5525 | 0.9371 | 0.9680 |
| No log | 3.8667 | 58 | 1.0525 | 0.3292 | 1.0525 | 1.0259 |
| No log | 4.0 | 60 | 1.4900 | 0.3571 | 1.4900 | 1.2207 |
| No log | 4.1333 | 62 | 1.8674 | 0.1863 | 1.8674 | 1.3665 |
| No log | 4.2667 | 64 | 1.7342 | 0.1887 | 1.7342 | 1.3169 |
| No log | 4.4 | 66 | 1.3467 | 0.3067 | 1.3467 | 1.1605 |
| No log | 4.5333 | 68 | 1.0266 | 0.3395 | 1.0266 | 1.0132 |
| No log | 4.6667 | 70 | 1.1634 | 0.3778 | 1.1634 | 1.0786 |
| No log | 4.8 | 72 | 1.2846 | 0.4157 | 1.2846 | 1.1334 |
| No log | 4.9333 | 74 | 1.1120 | 0.3884 | 1.1120 | 1.0545 |
| No log | 5.0667 | 76 | 0.9569 | 0.3902 | 0.9569 | 0.9782 |
| No log | 5.2 | 78 | 1.0791 | 0.2890 | 1.0791 | 1.0388 |
| No log | 5.3333 | 80 | 1.2384 | 0.2763 | 1.2384 | 1.1128 |
| No log | 5.4667 | 82 | 1.2146 | 0.2918 | 1.2146 | 1.1021 |
| No log | 5.6 | 84 | 0.9745 | 0.4516 | 0.9745 | 0.9872 |
| No log | 5.7333 | 86 | 0.9731 | 0.5066 | 0.9731 | 0.9865 |
| No log | 5.8667 | 88 | 1.1241 | 0.5125 | 1.1241 | 1.0602 |
| No log | 6.0 | 90 | 1.0850 | 0.5125 | 1.0850 | 1.0416 |
| No log | 6.1333 | 92 | 0.9214 | 0.5556 | 0.9214 | 0.9599 |
| No log | 6.2667 | 94 | 1.0205 | 0.4032 | 1.0205 | 1.0102 |
| No log | 6.4 | 96 | 1.3222 | 0.2752 | 1.3222 | 1.1499 |
| No log | 6.5333 | 98 | 1.3128 | 0.2752 | 1.3128 | 1.1458 |
| No log | 6.6667 | 100 | 1.0159 | 0.3873 | 1.0159 | 1.0079 |
| No log | 6.8 | 102 | 0.9503 | 0.5192 | 0.9503 | 0.9748 |
| No log | 6.9333 | 104 | 1.0602 | 0.4505 | 1.0602 | 1.0296 |
| No log | 7.0667 | 106 | 1.1304 | 0.5105 | 1.1304 | 1.0632 |
| No log | 7.2 | 108 | 1.0102 | 0.4973 | 1.0102 | 1.0051 |
| No log | 7.3333 | 110 | 0.8690 | 0.3998 | 0.8690 | 0.9322 |
| No log | 7.4667 | 112 | 1.0353 | 0.4574 | 1.0353 | 1.0175 |
| No log | 7.6 | 114 | 1.3306 | 0.4139 | 1.3306 | 1.1535 |
| No log | 7.7333 | 116 | 1.2693 | 0.4182 | 1.2693 | 1.1266 |
| No log | 7.8667 | 118 | 0.9472 | 0.4584 | 0.9472 | 0.9732 |
| No log | 8.0 | 120 | 0.8856 | 0.5871 | 0.8856 | 0.9411 |
| No log | 8.1333 | 122 | 1.1440 | 0.5341 | 1.1440 | 1.0696 |
| No log | 8.2667 | 124 | 1.2036 | 0.5167 | 1.2036 | 1.0971 |
| No log | 8.4 | 126 | 1.0722 | 0.5304 | 1.0722 | 1.0355 |
| No log | 8.5333 | 128 | 0.9229 | 0.5209 | 0.9229 | 0.9607 |
| No log | 8.6667 | 130 | 0.8108 | 0.5754 | 0.8108 | 0.9005 |
| No log | 8.8 | 132 | 0.8043 | 0.6366 | 0.8043 | 0.8968 |
| No log | 8.9333 | 134 | 0.8368 | 0.5848 | 0.8368 | 0.9148 |
| No log | 9.0667 | 136 | 0.8405 | 0.5955 | 0.8405 | 0.9168 |
| No log | 9.2 | 138 | 0.7394 | 0.6622 | 0.7394 | 0.8599 |
| No log | 9.3333 | 140 | 0.7965 | 0.5537 | 0.7965 | 0.8924 |
| No log | 9.4667 | 142 | 0.9012 | 0.5384 | 0.9012 | 0.9493 |
| No log | 9.6 | 144 | 0.8974 | 0.5384 | 0.8974 | 0.9473 |
| No log | 9.7333 | 146 | 0.7901 | 0.5500 | 0.7901 | 0.8889 |
| No log | 9.8667 | 148 | 0.7504 | 0.5993 | 0.7504 | 0.8663 |
| No log | 10.0 | 150 | 0.7858 | 0.6160 | 0.7858 | 0.8865 |
| No log | 10.1333 | 152 | 0.8059 | 0.5632 | 0.8059 | 0.8977 |
| No log | 10.2667 | 154 | 0.8013 | 0.5621 | 0.8013 | 0.8952 |
| No log | 10.4 | 156 | 0.8443 | 0.5068 | 0.8443 | 0.9189 |
| No log | 10.5333 | 158 | 0.8562 | 0.5014 | 0.8562 | 0.9253 |
| No log | 10.6667 | 160 | 0.8498 | 0.5039 | 0.8498 | 0.9218 |
| No log | 10.8 | 162 | 0.8089 | 0.5587 | 0.8089 | 0.8994 |
| No log | 10.9333 | 164 | 0.8152 | 0.5542 | 0.8152 | 0.9029 |
| No log | 11.0667 | 166 | 0.8802 | 0.5572 | 0.8802 | 0.9382 |
| No log | 11.2 | 168 | 0.7848 | 0.5806 | 0.7848 | 0.8859 |
| No log | 11.3333 | 170 | 0.8109 | 0.5321 | 0.8109 | 0.9005 |
| No log | 11.4667 | 172 | 1.1304 | 0.4482 | 1.1304 | 1.0632 |
| No log | 11.6 | 174 | 1.2739 | 0.3836 | 1.2739 | 1.1287 |
| No log | 11.7333 | 176 | 1.0301 | 0.4458 | 1.0301 | 1.0149 |
| No log | 11.8667 | 178 | 0.8373 | 0.4941 | 0.8373 | 0.9151 |
| No log | 12.0 | 180 | 0.8310 | 0.5245 | 0.8310 | 0.9116 |
| No log | 12.1333 | 182 | 0.8259 | 0.5359 | 0.8259 | 0.9088 |
| No log | 12.2667 | 184 | 0.8300 | 0.4916 | 0.8300 | 0.9110 |
| No log | 12.4 | 186 | 0.8356 | 0.4672 | 0.8356 | 0.9141 |
| No log | 12.5333 | 188 | 0.8249 | 0.4488 | 0.8249 | 0.9083 |
| No log | 12.6667 | 190 | 0.8400 | 0.4624 | 0.8400 | 0.9165 |
| No log | 12.8 | 192 | 0.9691 | 0.4849 | 0.9691 | 0.9844 |
| No log | 12.9333 | 194 | 0.8982 | 0.4191 | 0.8982 | 0.9477 |
| No log | 13.0667 | 196 | 0.8001 | 0.6203 | 0.8001 | 0.8945 |
| No log | 13.2 | 198 | 0.8924 | 0.5173 | 0.8924 | 0.9447 |
| No log | 13.3333 | 200 | 0.9221 | 0.4985 | 0.9221 | 0.9603 |
| No log | 13.4667 | 202 | 0.8691 | 0.4340 | 0.8691 | 0.9323 |
| No log | 13.6 | 204 | 0.8339 | 0.4872 | 0.8339 | 0.9132 |
| No log | 13.7333 | 206 | 0.9478 | 0.4518 | 0.9478 | 0.9736 |
| No log | 13.8667 | 208 | 1.0188 | 0.4088 | 1.0188 | 1.0093 |
| No log | 14.0 | 210 | 0.9140 | 0.4882 | 0.9140 | 0.9560 |
| No log | 14.1333 | 212 | 0.8457 | 0.4837 | 0.8457 | 0.9196 |
| No log | 14.2667 | 214 | 0.8533 | 0.5094 | 0.8533 | 0.9237 |
| No log | 14.4 | 216 | 0.7905 | 0.5964 | 0.7905 | 0.8891 |
| No log | 14.5333 | 218 | 0.7359 | 0.5432 | 0.7359 | 0.8579 |
| No log | 14.6667 | 220 | 0.7835 | 0.5451 | 0.7835 | 0.8851 |
| No log | 14.8 | 222 | 0.7970 | 0.5029 | 0.7970 | 0.8928 |
| No log | 14.9333 | 224 | 0.7848 | 0.5044 | 0.7848 | 0.8859 |
| No log | 15.0667 | 226 | 0.7634 | 0.5662 | 0.7634 | 0.8737 |
| No log | 15.2 | 228 | 0.7809 | 0.5326 | 0.7809 | 0.8837 |
| No log | 15.3333 | 230 | 0.7781 | 0.6100 | 0.7781 | 0.8821 |
| No log | 15.4667 | 232 | 0.7926 | 0.5740 | 0.7926 | 0.8903 |
| No log | 15.6 | 234 | 0.8124 | 0.5766 | 0.8124 | 0.9014 |
| No log | 15.7333 | 236 | 0.8093 | 0.5836 | 0.8093 | 0.8996 |
| No log | 15.8667 | 238 | 0.8540 | 0.5493 | 0.8540 | 0.9241 |
| No log | 16.0 | 240 | 0.9007 | 0.4617 | 0.9007 | 0.9491 |
| No log | 16.1333 | 242 | 0.8749 | 0.5156 | 0.8749 | 0.9354 |
| No log | 16.2667 | 244 | 0.8019 | 0.5239 | 0.8019 | 0.8955 |
| No log | 16.4 | 246 | 0.7636 | 0.4962 | 0.7636 | 0.8738 |
| No log | 16.5333 | 248 | 0.7866 | 0.5190 | 0.7866 | 0.8869 |
| No log | 16.6667 | 250 | 0.8055 | 0.5766 | 0.8055 | 0.8975 |
| No log | 16.8 | 252 | 0.7699 | 0.6067 | 0.7699 | 0.8774 |
| No log | 16.9333 | 254 | 0.7541 | 0.5691 | 0.7541 | 0.8684 |
| No log | 17.0667 | 256 | 0.8054 | 0.5357 | 0.8054 | 0.8974 |
| No log | 17.2 | 258 | 0.8376 | 0.5065 | 0.8376 | 0.9152 |
| No log | 17.3333 | 260 | 0.7934 | 0.5110 | 0.7934 | 0.8907 |
| No log | 17.4667 | 262 | 0.7872 | 0.5102 | 0.7872 | 0.8872 |
| No log | 17.6 | 264 | 0.8194 | 0.4757 | 0.8194 | 0.9052 |
| No log | 17.7333 | 266 | 0.8313 | 0.4726 | 0.8313 | 0.9117 |
| No log | 17.8667 | 268 | 0.8374 | 0.5098 | 0.8374 | 0.9151 |
| No log | 18.0 | 270 | 0.8153 | 0.5611 | 0.8153 | 0.9029 |
| No log | 18.1333 | 272 | 0.8169 | 0.6035 | 0.8169 | 0.9038 |
| No log | 18.2667 | 274 | 0.8393 | 0.6037 | 0.8393 | 0.9161 |
| No log | 18.4 | 276 | 0.8354 | 0.5620 | 0.8354 | 0.9140 |
| No log | 18.5333 | 278 | 0.8563 | 0.5470 | 0.8563 | 0.9254 |
| No log | 18.6667 | 280 | 0.8438 | 0.5425 | 0.8438 | 0.9186 |
| No log | 18.8 | 282 | 0.7901 | 0.5607 | 0.7901 | 0.8889 |
| No log | 18.9333 | 284 | 0.7493 | 0.6246 | 0.7493 | 0.8656 |
| No log | 19.0667 | 286 | 0.7588 | 0.5543 | 0.7588 | 0.8711 |
| No log | 19.2 | 288 | 0.7809 | 0.4915 | 0.7809 | 0.8837 |
| No log | 19.3333 | 290 | 0.8217 | 0.4733 | 0.8217 | 0.9065 |
| No log | 19.4667 | 292 | 0.8331 | 0.4765 | 0.8331 | 0.9128 |
| No log | 19.6 | 294 | 0.8075 | 0.5219 | 0.8075 | 0.8986 |
| No log | 19.7333 | 296 | 0.7362 | 0.6544 | 0.7362 | 0.8580 |
| No log | 19.8667 | 298 | 0.7220 | 0.6289 | 0.7220 | 0.8497 |
| No log | 20.0 | 300 | 0.8434 | 0.5455 | 0.8434 | 0.9184 |
| No log | 20.1333 | 302 | 0.9850 | 0.5388 | 0.9850 | 0.9925 |
| No log | 20.2667 | 304 | 0.9802 | 0.5246 | 0.9802 | 0.9900 |
| No log | 20.4 | 306 | 0.8588 | 0.4811 | 0.8588 | 0.9267 |
| No log | 20.5333 | 308 | 0.8129 | 0.5406 | 0.8129 | 0.9016 |
| No log | 20.6667 | 310 | 0.7790 | 0.5828 | 0.7790 | 0.8826 |
| No log | 20.8 | 312 | 0.7685 | 0.6211 | 0.7685 | 0.8766 |
| No log | 20.9333 | 314 | 0.7993 | 0.5718 | 0.7993 | 0.8941 |
| No log | 21.0667 | 316 | 0.8091 | 0.5784 | 0.8091 | 0.8995 |
| No log | 21.2 | 318 | 0.7462 | 0.6127 | 0.7462 | 0.8638 |
| No log | 21.3333 | 320 | 0.7209 | 0.5949 | 0.7209 | 0.8491 |
| No log | 21.4667 | 322 | 0.8145 | 0.6151 | 0.8145 | 0.9025 |
| No log | 21.6 | 324 | 0.8463 | 0.5649 | 0.8463 | 0.9200 |
| No log | 21.7333 | 326 | 0.8031 | 0.5447 | 0.8031 | 0.8962 |
| No log | 21.8667 | 328 | 0.8076 | 0.5560 | 0.8076 | 0.8987 |
| No log | 22.0 | 330 | 0.8184 | 0.5536 | 0.8184 | 0.9047 |
| No log | 22.1333 | 332 | 0.8735 | 0.5384 | 0.8735 | 0.9346 |
| No log | 22.2667 | 334 | 0.8822 | 0.5468 | 0.8822 | 0.9393 |
| No log | 22.4 | 336 | 0.8154 | 0.6029 | 0.8154 | 0.9030 |
| No log | 22.5333 | 338 | 0.7374 | 0.6151 | 0.7374 | 0.8587 |
| No log | 22.6667 | 340 | 0.7293 | 0.6137 | 0.7293 | 0.8540 |
| No log | 22.8 | 342 | 0.7392 | 0.6137 | 0.7392 | 0.8598 |
| No log | 22.9333 | 344 | 0.7300 | 0.6517 | 0.7300 | 0.8544 |
| No log | 23.0667 | 346 | 0.7306 | 0.6001 | 0.7306 | 0.8547 |
| No log | 23.2 | 348 | 0.7476 | 0.5979 | 0.7476 | 0.8646 |
| No log | 23.3333 | 350 | 0.8112 | 0.5661 | 0.8112 | 0.9007 |
| No log | 23.4667 | 352 | 0.8286 | 0.5443 | 0.8286 | 0.9103 |
| No log | 23.6 | 354 | 0.8117 | 0.4858 | 0.8117 | 0.9010 |
| No log | 23.7333 | 356 | 0.7804 | 0.4711 | 0.7804 | 0.8834 |
| No log | 23.8667 | 358 | 0.7799 | 0.4962 | 0.7799 | 0.8831 |
| No log | 24.0 | 360 | 0.8611 | 0.4715 | 0.8611 | 0.9280 |
| No log | 24.1333 | 362 | 0.9256 | 0.5098 | 0.9256 | 0.9621 |
| No log | 24.2667 | 364 | 0.8939 | 0.4764 | 0.8939 | 0.9455 |
| No log | 24.4 | 366 | 0.8018 | 0.5611 | 0.8018 | 0.8954 |
| No log | 24.5333 | 368 | 0.8202 | 0.5988 | 0.8202 | 0.9057 |
| No log | 24.6667 | 370 | 0.8666 | 0.5766 | 0.8666 | 0.9309 |
| No log | 24.8 | 372 | 0.9163 | 0.5340 | 0.9163 | 0.9573 |
| No log | 24.9333 | 374 | 0.9642 | 0.4933 | 0.9642 | 0.9819 |
| No log | 25.0667 | 376 | 1.0587 | 0.5206 | 1.0587 | 1.0289 |
| No log | 25.2 | 378 | 1.0648 | 0.5206 | 1.0648 | 1.0319 |
| No log | 25.3333 | 380 | 0.9722 | 0.4933 | 0.9722 | 0.9860 |
| No log | 25.4667 | 382 | 0.8730 | 0.5624 | 0.8730 | 0.9343 |
| No log | 25.6 | 384 | 0.8257 | 0.5673 | 0.8257 | 0.9087 |
| No log | 25.7333 | 386 | 0.8259 | 0.5040 | 0.8259 | 0.9088 |
| No log | 25.8667 | 388 | 0.8313 | 0.5232 | 0.8313 | 0.9117 |
| No log | 26.0 | 390 | 0.8334 | 0.5886 | 0.8334 | 0.9129 |
| No log | 26.1333 | 392 | 0.8323 | 0.5886 | 0.8323 | 0.9123 |
| No log | 26.2667 | 394 | 0.8402 | 0.5858 | 0.8402 | 0.9166 |
| No log | 26.4 | 396 | 0.8244 | 0.5858 | 0.8244 | 0.9080 |
| No log | 26.5333 | 398 | 0.8017 | 0.5571 | 0.8017 | 0.8954 |
| No log | 26.6667 | 400 | 0.7975 | 0.4738 | 0.7975 | 0.8930 |
| No log | 26.8 | 402 | 0.8093 | 0.4485 | 0.8093 | 0.8996 |
| No log | 26.9333 | 404 | 0.8084 | 0.4219 | 0.8084 | 0.8991 |
| No log | 27.0667 | 406 | 0.7975 | 0.4609 | 0.7975 | 0.8930 |
| No log | 27.2 | 408 | 0.7976 | 0.4634 | 0.7976 | 0.8931 |
| No log | 27.3333 | 410 | 0.8049 | 0.4841 | 0.8049 | 0.8972 |
| No log | 27.4667 | 412 | 0.8177 | 0.5413 | 0.8177 | 0.9043 |
| No log | 27.6 | 414 | 0.8232 | 0.5238 | 0.8232 | 0.9073 |
| No log | 27.7333 | 416 | 0.8276 | 0.5887 | 0.8276 | 0.9097 |
| No log | 27.8667 | 418 | 0.8228 | 0.6047 | 0.8228 | 0.9071 |
| No log | 28.0 | 420 | 0.8259 | 0.5621 | 0.8259 | 0.9088 |
| No log | 28.1333 | 422 | 0.8224 | 0.5316 | 0.8224 | 0.9068 |
| No log | 28.2667 | 424 | 0.8277 | 0.5562 | 0.8277 | 0.9098 |
| No log | 28.4 | 426 | 0.8215 | 0.5359 | 0.8215 | 0.9064 |
| No log | 28.5333 | 428 | 0.8164 | 0.4983 | 0.8164 | 0.9036 |
| No log | 28.6667 | 430 | 0.8257 | 0.5359 | 0.8257 | 0.9087 |
| No log | 28.8 | 432 | 0.8507 | 0.5365 | 0.8507 | 0.9223 |
| No log | 28.9333 | 434 | 0.8545 | 0.5556 | 0.8545 | 0.9244 |
| No log | 29.0667 | 436 | 0.8066 | 0.5860 | 0.8066 | 0.8981 |
| No log | 29.2 | 438 | 0.7668 | 0.5858 | 0.7668 | 0.8757 |
| No log | 29.3333 | 440 | 0.7654 | 0.5858 | 0.7654 | 0.8748 |
| No log | 29.4667 | 442 | 0.7711 | 0.5564 | 0.7711 | 0.8781 |
| No log | 29.6 | 444 | 0.7689 | 0.5564 | 0.7689 | 0.8768 |
| No log | 29.7333 | 446 | 0.7639 | 0.5611 | 0.7639 | 0.8740 |
| No log | 29.8667 | 448 | 0.7611 | 0.5914 | 0.7611 | 0.8724 |
| No log | 30.0 | 450 | 0.7654 | 0.5458 | 0.7654 | 0.8749 |
| No log | 30.1333 | 452 | 0.7723 | 0.5043 | 0.7723 | 0.8788 |
| No log | 30.2667 | 454 | 0.7681 | 0.4181 | 0.7681 | 0.8764 |
| No log | 30.4 | 456 | 0.7524 | 0.4444 | 0.7524 | 0.8674 |
| No log | 30.5333 | 458 | 0.7391 | 0.5596 | 0.7391 | 0.8597 |
| No log | 30.6667 | 460 | 0.7392 | 0.6088 | 0.7392 | 0.8597 |
| No log | 30.8 | 462 | 0.7438 | 0.6151 | 0.7438 | 0.8625 |
| No log | 30.9333 | 464 | 0.7753 | 0.6151 | 0.7753 | 0.8805 |
| No log | 31.0667 | 466 | 0.7618 | 0.6151 | 0.7618 | 0.8728 |
| No log | 31.2 | 468 | 0.7562 | 0.6151 | 0.7562 | 0.8696 |
| No log | 31.3333 | 470 | 0.7536 | 0.6252 | 0.7536 | 0.8681 |
| No log | 31.4667 | 472 | 0.7628 | 0.6079 | 0.7628 | 0.8734 |
| No log | 31.6 | 474 | 0.7814 | 0.5683 | 0.7814 | 0.8840 |
| No log | 31.7333 | 476 | 0.7823 | 0.5975 | 0.7823 | 0.8845 |
| No log | 31.8667 | 478 | 0.7503 | 0.5975 | 0.7503 | 0.8662 |
| No log | 32.0 | 480 | 0.7044 | 0.5971 | 0.7044 | 0.8393 |
| No log | 32.1333 | 482 | 0.6848 | 0.6517 | 0.6848 | 0.8276 |
| No log | 32.2667 | 484 | 0.7035 | 0.5811 | 0.7035 | 0.8388 |
| No log | 32.4 | 486 | 0.7132 | 0.5632 | 0.7132 | 0.8445 |
| No log | 32.5333 | 488 | 0.6921 | 0.5489 | 0.6921 | 0.8319 |
| No log | 32.6667 | 490 | 0.6951 | 0.5722 | 0.6951 | 0.8338 |
| No log | 32.8 | 492 | 0.7530 | 0.5706 | 0.7530 | 0.8678 |
| No log | 32.9333 | 494 | 0.8267 | 0.6008 | 0.8267 | 0.9092 |
| No log | 33.0667 | 496 | 0.8651 | 0.5753 | 0.8651 | 0.9301 |
| No log | 33.2 | 498 | 0.8168 | 0.6008 | 0.8168 | 0.9038 |
| 0.2995 | 33.3333 | 500 | 0.7311 | 0.5920 | 0.7311 | 0.8551 |
| 0.2995 | 33.4667 | 502 | 0.6867 | 0.5741 | 0.6867 | 0.8287 |
| 0.2995 | 33.6 | 504 | 0.6991 | 0.5660 | 0.6991 | 0.8361 |
| 0.2995 | 33.7333 | 506 | 0.7149 | 0.5660 | 0.7149 | 0.8455 |
| 0.2995 | 33.8667 | 508 | 0.6991 | 0.6061 | 0.6991 | 0.8361 |
| 0.2995 | 34.0 | 510 | 0.6925 | 0.6287 | 0.6925 | 0.8322 |
| 0.2995 | 34.1333 | 512 | 0.7019 | 0.6565 | 0.7019 | 0.8378 |
| 0.2995 | 34.2667 | 514 | 0.7245 | 0.5836 | 0.7245 | 0.8512 |
| 0.2995 | 34.4 | 516 | 0.7496 | 0.5539 | 0.7496 | 0.8658 |
| 0.2995 | 34.5333 | 518 | 0.7667 | 0.5562 | 0.7667 | 0.8756 |
| 0.2995 | 34.6667 | 520 | 0.7773 | 0.4482 | 0.7773 | 0.8816 |
| 0.2995 | 34.8 | 522 | 0.7980 | 0.4273 | 0.7980 | 0.8933 |
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_FineTuningAraBERT_run1_AugV5_k4_task2_organization
Base model
aubmindlab/bert-base-arabertv02