ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k13_task1_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: 0.8119
- Qwk: 0.6570
- Mse: 0.8119
- Rmse: 0.9011
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 | 0.0317 | 2 | 5.0210 | -0.0109 | 5.0210 | 2.2408 |
| No log | 0.0635 | 4 | 2.8805 | 0.0881 | 2.8805 | 1.6972 |
| No log | 0.0952 | 6 | 1.8444 | 0.0836 | 1.8444 | 1.3581 |
| No log | 0.1270 | 8 | 1.3067 | 0.2017 | 1.3067 | 1.1431 |
| No log | 0.1587 | 10 | 1.5433 | -0.0336 | 1.5433 | 1.2423 |
| No log | 0.1905 | 12 | 1.9641 | -0.0771 | 1.9641 | 1.4015 |
| No log | 0.2222 | 14 | 1.5301 | 0.0046 | 1.5301 | 1.2370 |
| No log | 0.2540 | 16 | 1.3381 | 0.1531 | 1.3381 | 1.1568 |
| No log | 0.2857 | 18 | 1.2459 | 0.1223 | 1.2459 | 1.1162 |
| No log | 0.3175 | 20 | 1.2420 | 0.1584 | 1.2420 | 1.1144 |
| No log | 0.3492 | 22 | 1.2472 | 0.1423 | 1.2472 | 1.1168 |
| No log | 0.3810 | 24 | 1.3577 | 0.0772 | 1.3577 | 1.1652 |
| No log | 0.4127 | 26 | 1.5560 | -0.0304 | 1.5560 | 1.2474 |
| No log | 0.4444 | 28 | 1.5792 | -0.0304 | 1.5792 | 1.2567 |
| No log | 0.4762 | 30 | 1.4560 | -0.0421 | 1.4560 | 1.2066 |
| No log | 0.5079 | 32 | 1.2436 | 0.2401 | 1.2436 | 1.1152 |
| No log | 0.5397 | 34 | 1.2188 | 0.1721 | 1.2188 | 1.1040 |
| No log | 0.5714 | 36 | 1.2130 | 0.2036 | 1.2130 | 1.1014 |
| No log | 0.6032 | 38 | 1.2188 | 0.2089 | 1.2188 | 1.1040 |
| No log | 0.6349 | 40 | 1.3419 | 0.1877 | 1.3419 | 1.1584 |
| No log | 0.6667 | 42 | 1.6227 | 0.1674 | 1.6227 | 1.2738 |
| No log | 0.6984 | 44 | 1.8874 | 0.1737 | 1.8874 | 1.3738 |
| No log | 0.7302 | 46 | 1.8157 | 0.1845 | 1.8157 | 1.3475 |
| No log | 0.7619 | 48 | 1.4306 | 0.1660 | 1.4306 | 1.1961 |
| No log | 0.7937 | 50 | 1.2603 | 0.2038 | 1.2603 | 1.1226 |
| No log | 0.8254 | 52 | 1.1167 | 0.2616 | 1.1167 | 1.0567 |
| No log | 0.8571 | 54 | 1.0953 | 0.2900 | 1.0953 | 1.0466 |
| No log | 0.8889 | 56 | 1.1076 | 0.2909 | 1.1076 | 1.0524 |
| No log | 0.9206 | 58 | 1.1806 | 0.2341 | 1.1806 | 1.0866 |
| No log | 0.9524 | 60 | 1.3008 | 0.2297 | 1.3008 | 1.1405 |
| No log | 0.9841 | 62 | 1.3353 | 0.2597 | 1.3353 | 1.1555 |
| No log | 1.0159 | 64 | 1.2791 | 0.3009 | 1.2791 | 1.1310 |
| No log | 1.0476 | 66 | 1.2979 | 0.3451 | 1.2979 | 1.1392 |
| No log | 1.0794 | 68 | 1.1598 | 0.3994 | 1.1598 | 1.0769 |
| No log | 1.1111 | 70 | 1.1535 | 0.3738 | 1.1535 | 1.0740 |
| No log | 1.1429 | 72 | 1.1650 | 0.3847 | 1.1650 | 1.0794 |
| No log | 1.1746 | 74 | 1.0901 | 0.4212 | 1.0901 | 1.0441 |
| No log | 1.2063 | 76 | 1.0187 | 0.4354 | 1.0187 | 1.0093 |
| No log | 1.2381 | 78 | 1.0356 | 0.4254 | 1.0356 | 1.0177 |
| No log | 1.2698 | 80 | 1.0121 | 0.4006 | 1.0121 | 1.0060 |
| No log | 1.3016 | 82 | 1.0276 | 0.3586 | 1.0276 | 1.0137 |
| No log | 1.3333 | 84 | 1.0438 | 0.3447 | 1.0438 | 1.0216 |
| No log | 1.3651 | 86 | 1.0254 | 0.3358 | 1.0254 | 1.0126 |
| No log | 1.3968 | 88 | 1.0582 | 0.3443 | 1.0582 | 1.0287 |
| No log | 1.4286 | 90 | 1.0578 | 0.3688 | 1.0578 | 1.0285 |
| No log | 1.4603 | 92 | 1.0840 | 0.3845 | 1.0840 | 1.0412 |
| No log | 1.4921 | 94 | 0.9784 | 0.4617 | 0.9784 | 0.9891 |
| No log | 1.5238 | 96 | 1.0232 | 0.3896 | 1.0232 | 1.0115 |
| No log | 1.5556 | 98 | 1.0983 | 0.4058 | 1.0983 | 1.0480 |
| No log | 1.5873 | 100 | 1.0273 | 0.5288 | 1.0273 | 1.0136 |
| No log | 1.6190 | 102 | 0.9466 | 0.5811 | 0.9466 | 0.9729 |
| No log | 1.6508 | 104 | 0.9370 | 0.5974 | 0.9370 | 0.9680 |
| No log | 1.6825 | 106 | 0.9398 | 0.5734 | 0.9398 | 0.9694 |
| No log | 1.7143 | 108 | 1.1058 | 0.4694 | 1.1058 | 1.0516 |
| No log | 1.7460 | 110 | 1.1228 | 0.4902 | 1.1228 | 1.0596 |
| No log | 1.7778 | 112 | 0.9785 | 0.5101 | 0.9785 | 0.9892 |
| No log | 1.8095 | 114 | 0.8798 | 0.5689 | 0.8798 | 0.9380 |
| No log | 1.8413 | 116 | 0.9642 | 0.4840 | 0.9642 | 0.9819 |
| No log | 1.8730 | 118 | 0.9965 | 0.5019 | 0.9965 | 0.9982 |
| No log | 1.9048 | 120 | 0.9139 | 0.5333 | 0.9139 | 0.9560 |
| No log | 1.9365 | 122 | 0.8804 | 0.5507 | 0.8804 | 0.9383 |
| No log | 1.9683 | 124 | 0.9254 | 0.5951 | 0.9254 | 0.9620 |
| No log | 2.0 | 126 | 0.9550 | 0.5710 | 0.9550 | 0.9773 |
| No log | 2.0317 | 128 | 0.8880 | 0.5445 | 0.8880 | 0.9424 |
| No log | 2.0635 | 130 | 0.9220 | 0.5091 | 0.9220 | 0.9602 |
| No log | 2.0952 | 132 | 1.0246 | 0.5084 | 1.0246 | 1.0122 |
| No log | 2.1270 | 134 | 0.9219 | 0.5191 | 0.9219 | 0.9602 |
| No log | 2.1587 | 136 | 0.8387 | 0.6440 | 0.8387 | 0.9158 |
| No log | 2.1905 | 138 | 1.1022 | 0.5180 | 1.1022 | 1.0498 |
| No log | 2.2222 | 140 | 1.2401 | 0.4607 | 1.2401 | 1.1136 |
| No log | 2.2540 | 142 | 1.0553 | 0.5152 | 1.0553 | 1.0273 |
| No log | 2.2857 | 144 | 0.7367 | 0.6493 | 0.7367 | 0.8583 |
| No log | 2.3175 | 146 | 0.7043 | 0.6444 | 0.7043 | 0.8392 |
| No log | 2.3492 | 148 | 0.7065 | 0.6544 | 0.7065 | 0.8405 |
| No log | 2.3810 | 150 | 0.7768 | 0.6394 | 0.7768 | 0.8814 |
| No log | 2.4127 | 152 | 0.9253 | 0.5842 | 0.9253 | 0.9619 |
| No log | 2.4444 | 154 | 0.9015 | 0.6172 | 0.9015 | 0.9495 |
| No log | 2.4762 | 156 | 0.7967 | 0.6228 | 0.7967 | 0.8926 |
| No log | 2.5079 | 158 | 0.7562 | 0.6774 | 0.7562 | 0.8696 |
| No log | 2.5397 | 160 | 0.7917 | 0.6193 | 0.7917 | 0.8898 |
| No log | 2.5714 | 162 | 0.7596 | 0.6255 | 0.7596 | 0.8715 |
| No log | 2.6032 | 164 | 0.7586 | 0.6004 | 0.7586 | 0.8710 |
| No log | 2.6349 | 166 | 0.8349 | 0.6419 | 0.8349 | 0.9137 |
| No log | 2.6667 | 168 | 0.8209 | 0.6212 | 0.8209 | 0.9061 |
| No log | 2.6984 | 170 | 0.8348 | 0.6163 | 0.8348 | 0.9136 |
| No log | 2.7302 | 172 | 0.8762 | 0.6046 | 0.8762 | 0.9361 |
| No log | 2.7619 | 174 | 0.8743 | 0.6249 | 0.8743 | 0.9350 |
| No log | 2.7937 | 176 | 0.8501 | 0.6460 | 0.8501 | 0.9220 |
| No log | 2.8254 | 178 | 0.9625 | 0.5421 | 0.9625 | 0.9811 |
| No log | 2.8571 | 180 | 1.1031 | 0.5561 | 1.1031 | 1.0503 |
| No log | 2.8889 | 182 | 1.3053 | 0.4792 | 1.3053 | 1.1425 |
| No log | 2.9206 | 184 | 1.2898 | 0.4785 | 1.2898 | 1.1357 |
| No log | 2.9524 | 186 | 1.1392 | 0.5201 | 1.1392 | 1.0673 |
| No log | 2.9841 | 188 | 0.9447 | 0.5586 | 0.9447 | 0.9719 |
| No log | 3.0159 | 190 | 0.8344 | 0.5541 | 0.8344 | 0.9135 |
| No log | 3.0476 | 192 | 0.8541 | 0.4768 | 0.8541 | 0.9242 |
| No log | 3.0794 | 194 | 0.8230 | 0.5708 | 0.8230 | 0.9072 |
| No log | 3.1111 | 196 | 1.0572 | 0.4965 | 1.0572 | 1.0282 |
| No log | 3.1429 | 198 | 1.1924 | 0.4534 | 1.1924 | 1.0919 |
| No log | 3.1746 | 200 | 1.0826 | 0.4943 | 1.0826 | 1.0405 |
| No log | 3.2063 | 202 | 0.9015 | 0.5094 | 0.9015 | 0.9495 |
| No log | 3.2381 | 204 | 0.8155 | 0.5904 | 0.8155 | 0.9030 |
| No log | 3.2698 | 206 | 0.8376 | 0.5878 | 0.8376 | 0.9152 |
| No log | 3.3016 | 208 | 1.1125 | 0.5483 | 1.1125 | 1.0548 |
| No log | 3.3333 | 210 | 1.5238 | 0.4772 | 1.5238 | 1.2344 |
| No log | 3.3651 | 212 | 1.5121 | 0.4551 | 1.5121 | 1.2297 |
| No log | 3.3968 | 214 | 1.1616 | 0.5142 | 1.1616 | 1.0778 |
| No log | 3.4286 | 216 | 0.8355 | 0.6153 | 0.8355 | 0.9141 |
| No log | 3.4603 | 218 | 0.8269 | 0.6217 | 0.8269 | 0.9093 |
| No log | 3.4921 | 220 | 0.9741 | 0.5727 | 0.9741 | 0.9870 |
| No log | 3.5238 | 222 | 1.1264 | 0.5307 | 1.1264 | 1.0613 |
| No log | 3.5556 | 224 | 1.0586 | 0.5503 | 1.0586 | 1.0289 |
| No log | 3.5873 | 226 | 0.8702 | 0.6265 | 0.8702 | 0.9329 |
| No log | 3.6190 | 228 | 0.7879 | 0.5664 | 0.7879 | 0.8877 |
| No log | 3.6508 | 230 | 0.8043 | 0.6019 | 0.8043 | 0.8968 |
| No log | 3.6825 | 232 | 0.9277 | 0.5830 | 0.9277 | 0.9632 |
| No log | 3.7143 | 234 | 1.0665 | 0.5606 | 1.0665 | 1.0327 |
| No log | 3.7460 | 236 | 1.1914 | 0.5218 | 1.1914 | 1.0915 |
| No log | 3.7778 | 238 | 1.1370 | 0.5718 | 1.1370 | 1.0663 |
| No log | 3.8095 | 240 | 0.9628 | 0.5961 | 0.9628 | 0.9812 |
| No log | 3.8413 | 242 | 0.8939 | 0.5988 | 0.8939 | 0.9455 |
| No log | 3.8730 | 244 | 0.9113 | 0.6091 | 0.9113 | 0.9546 |
| No log | 3.9048 | 246 | 0.9879 | 0.5991 | 0.9879 | 0.9939 |
| No log | 3.9365 | 248 | 1.1824 | 0.5592 | 1.1824 | 1.0874 |
| No log | 3.9683 | 250 | 1.2744 | 0.5375 | 1.2744 | 1.1289 |
| No log | 4.0 | 252 | 1.1713 | 0.5326 | 1.1713 | 1.0823 |
| No log | 4.0317 | 254 | 0.9672 | 0.5666 | 0.9672 | 0.9834 |
| No log | 4.0635 | 256 | 0.8858 | 0.6040 | 0.8858 | 0.9412 |
| No log | 4.0952 | 258 | 0.9119 | 0.5915 | 0.9119 | 0.9549 |
| No log | 4.1270 | 260 | 1.0011 | 0.5584 | 1.0011 | 1.0005 |
| No log | 4.1587 | 262 | 1.0964 | 0.5556 | 1.0964 | 1.0471 |
| No log | 4.1905 | 264 | 0.9824 | 0.5873 | 0.9824 | 0.9911 |
| No log | 4.2222 | 266 | 0.8718 | 0.5994 | 0.8718 | 0.9337 |
| No log | 4.2540 | 268 | 0.8770 | 0.5968 | 0.8770 | 0.9365 |
| No log | 4.2857 | 270 | 0.9278 | 0.5833 | 0.9278 | 0.9632 |
| No log | 4.3175 | 272 | 0.9504 | 0.5942 | 0.9504 | 0.9749 |
| No log | 4.3492 | 274 | 0.9466 | 0.5992 | 0.9466 | 0.9729 |
| No log | 4.3810 | 276 | 0.8968 | 0.6116 | 0.8968 | 0.9470 |
| No log | 4.4127 | 278 | 0.9851 | 0.5901 | 0.9851 | 0.9925 |
| No log | 4.4444 | 280 | 0.9541 | 0.5573 | 0.9541 | 0.9768 |
| No log | 4.4762 | 282 | 0.8907 | 0.5808 | 0.8907 | 0.9438 |
| No log | 4.5079 | 284 | 0.8804 | 0.5943 | 0.8804 | 0.9383 |
| No log | 4.5397 | 286 | 0.8455 | 0.6074 | 0.8455 | 0.9195 |
| No log | 4.5714 | 288 | 0.9066 | 0.5674 | 0.9066 | 0.9521 |
| No log | 4.6032 | 290 | 0.8951 | 0.5917 | 0.8951 | 0.9461 |
| No log | 4.6349 | 292 | 0.9735 | 0.5788 | 0.9735 | 0.9866 |
| No log | 4.6667 | 294 | 0.9387 | 0.5857 | 0.9387 | 0.9689 |
| No log | 4.6984 | 296 | 0.8971 | 0.5875 | 0.8971 | 0.9472 |
| No log | 4.7302 | 298 | 0.8870 | 0.5895 | 0.8870 | 0.9418 |
| No log | 4.7619 | 300 | 0.8596 | 0.5561 | 0.8596 | 0.9271 |
| No log | 4.7937 | 302 | 0.8632 | 0.5645 | 0.8632 | 0.9291 |
| No log | 4.8254 | 304 | 0.8052 | 0.6083 | 0.8052 | 0.8973 |
| No log | 4.8571 | 306 | 0.8053 | 0.6293 | 0.8053 | 0.8974 |
| No log | 4.8889 | 308 | 0.8298 | 0.6264 | 0.8298 | 0.9109 |
| No log | 4.9206 | 310 | 1.0165 | 0.5762 | 1.0165 | 1.0082 |
| No log | 4.9524 | 312 | 1.3027 | 0.5375 | 1.3027 | 1.1413 |
| No log | 4.9841 | 314 | 1.3799 | 0.5331 | 1.3799 | 1.1747 |
| No log | 5.0159 | 316 | 1.1334 | 0.5430 | 1.1334 | 1.0646 |
| No log | 5.0476 | 318 | 0.8905 | 0.5984 | 0.8905 | 0.9437 |
| No log | 5.0794 | 320 | 0.7828 | 0.6345 | 0.7828 | 0.8848 |
| No log | 5.1111 | 322 | 0.8179 | 0.6511 | 0.8179 | 0.9044 |
| No log | 5.1429 | 324 | 1.0928 | 0.5589 | 1.0928 | 1.0453 |
| No log | 5.1746 | 326 | 1.3135 | 0.5496 | 1.3135 | 1.1461 |
| No log | 5.2063 | 328 | 1.1942 | 0.5561 | 1.1942 | 1.0928 |
| No log | 5.2381 | 330 | 0.9092 | 0.6315 | 0.9092 | 0.9535 |
| No log | 5.2698 | 332 | 0.8100 | 0.6382 | 0.8100 | 0.9000 |
| No log | 5.3016 | 334 | 0.8856 | 0.6619 | 0.8856 | 0.9410 |
| No log | 5.3333 | 336 | 0.9827 | 0.5888 | 0.9827 | 0.9913 |
| No log | 5.3651 | 338 | 0.9225 | 0.6219 | 0.9225 | 0.9605 |
| No log | 5.3968 | 340 | 0.7507 | 0.6432 | 0.7507 | 0.8664 |
| No log | 5.4286 | 342 | 0.7197 | 0.6642 | 0.7197 | 0.8483 |
| No log | 5.4603 | 344 | 0.7902 | 0.6405 | 0.7902 | 0.8889 |
| No log | 5.4921 | 346 | 0.8809 | 0.6333 | 0.8809 | 0.9386 |
| No log | 5.5238 | 348 | 1.0621 | 0.5574 | 1.0621 | 1.0306 |
| No log | 5.5556 | 350 | 1.0634 | 0.5621 | 1.0634 | 1.0312 |
| No log | 5.5873 | 352 | 0.8736 | 0.5895 | 0.8736 | 0.9346 |
| No log | 5.6190 | 354 | 0.7506 | 0.6643 | 0.7506 | 0.8664 |
| No log | 5.6508 | 356 | 0.7593 | 0.6498 | 0.7593 | 0.8714 |
| No log | 5.6825 | 358 | 0.8417 | 0.6047 | 0.8417 | 0.9175 |
| No log | 5.7143 | 360 | 0.9336 | 0.5813 | 0.9336 | 0.9662 |
| No log | 5.7460 | 362 | 0.9276 | 0.5813 | 0.9276 | 0.9631 |
| No log | 5.7778 | 364 | 0.8471 | 0.5690 | 0.8471 | 0.9204 |
| No log | 5.8095 | 366 | 0.8336 | 0.6193 | 0.8336 | 0.9130 |
| No log | 5.8413 | 368 | 0.9820 | 0.5767 | 0.9820 | 0.9910 |
| No log | 5.8730 | 370 | 1.0583 | 0.5416 | 1.0583 | 1.0287 |
| No log | 5.9048 | 372 | 1.0669 | 0.5567 | 1.0669 | 1.0329 |
| No log | 5.9365 | 374 | 1.1091 | 0.5369 | 1.1091 | 1.0531 |
| No log | 5.9683 | 376 | 0.9919 | 0.5779 | 0.9919 | 0.9959 |
| No log | 6.0 | 378 | 0.9214 | 0.5890 | 0.9214 | 0.9599 |
| No log | 6.0317 | 380 | 0.9663 | 0.5936 | 0.9663 | 0.9830 |
| No log | 6.0635 | 382 | 0.9547 | 0.5838 | 0.9547 | 0.9771 |
| No log | 6.0952 | 384 | 1.0026 | 0.5790 | 1.0026 | 1.0013 |
| No log | 6.1270 | 386 | 0.9516 | 0.5790 | 0.9516 | 0.9755 |
| No log | 6.1587 | 388 | 0.8225 | 0.6317 | 0.8225 | 0.9069 |
| No log | 6.1905 | 390 | 0.7619 | 0.6917 | 0.7619 | 0.8729 |
| No log | 6.2222 | 392 | 0.8126 | 0.6401 | 0.8126 | 0.9015 |
| No log | 6.2540 | 394 | 0.9806 | 0.5387 | 0.9806 | 0.9903 |
| No log | 6.2857 | 396 | 1.1634 | 0.5295 | 1.1634 | 1.0786 |
| No log | 6.3175 | 398 | 1.2804 | 0.5170 | 1.2804 | 1.1315 |
| No log | 6.3492 | 400 | 1.1015 | 0.5090 | 1.1015 | 1.0495 |
| No log | 6.3810 | 402 | 0.8952 | 0.5947 | 0.8952 | 0.9461 |
| No log | 6.4127 | 404 | 0.7676 | 0.6357 | 0.7676 | 0.8761 |
| No log | 6.4444 | 406 | 0.7595 | 0.6501 | 0.7595 | 0.8715 |
| No log | 6.4762 | 408 | 0.8996 | 0.5791 | 0.8996 | 0.9485 |
| No log | 6.5079 | 410 | 1.2118 | 0.5076 | 1.2118 | 1.1008 |
| No log | 6.5397 | 412 | 1.4291 | 0.4787 | 1.4291 | 1.1955 |
| No log | 6.5714 | 414 | 1.2885 | 0.5185 | 1.2885 | 1.1351 |
| No log | 6.6032 | 416 | 1.0289 | 0.5240 | 1.0289 | 1.0144 |
| No log | 6.6349 | 418 | 0.7979 | 0.6416 | 0.7979 | 0.8932 |
| No log | 6.6667 | 420 | 0.7416 | 0.6653 | 0.7416 | 0.8612 |
| No log | 6.6984 | 422 | 0.7849 | 0.6520 | 0.7849 | 0.8859 |
| No log | 6.7302 | 424 | 0.9826 | 0.5593 | 0.9826 | 0.9913 |
| No log | 6.7619 | 426 | 1.0858 | 0.5611 | 1.0858 | 1.0420 |
| No log | 6.7937 | 428 | 1.0034 | 0.5593 | 1.0034 | 1.0017 |
| No log | 6.8254 | 430 | 0.9216 | 0.5981 | 0.9216 | 0.9600 |
| No log | 6.8571 | 432 | 0.9386 | 0.5981 | 0.9386 | 0.9688 |
| No log | 6.8889 | 434 | 0.8880 | 0.5998 | 0.8880 | 0.9423 |
| No log | 6.9206 | 436 | 0.9202 | 0.5950 | 0.9202 | 0.9593 |
| No log | 6.9524 | 438 | 0.8951 | 0.5950 | 0.8951 | 0.9461 |
| No log | 6.9841 | 440 | 0.7836 | 0.6748 | 0.7836 | 0.8852 |
| No log | 7.0159 | 442 | 0.7367 | 0.6920 | 0.7367 | 0.8583 |
| No log | 7.0476 | 444 | 0.8217 | 0.6519 | 0.8217 | 0.9065 |
| No log | 7.0794 | 446 | 0.8903 | 0.6193 | 0.8903 | 0.9436 |
| No log | 7.1111 | 448 | 0.8000 | 0.6645 | 0.8000 | 0.8944 |
| No log | 7.1429 | 450 | 0.7155 | 0.6831 | 0.7155 | 0.8459 |
| No log | 7.1746 | 452 | 0.6995 | 0.6621 | 0.6995 | 0.8364 |
| No log | 7.2063 | 454 | 0.7020 | 0.6702 | 0.7020 | 0.8379 |
| No log | 7.2381 | 456 | 0.7797 | 0.6636 | 0.7797 | 0.8830 |
| No log | 7.2698 | 458 | 0.7903 | 0.6636 | 0.7903 | 0.8890 |
| No log | 7.3016 | 460 | 0.8071 | 0.6550 | 0.8071 | 0.8984 |
| No log | 7.3333 | 462 | 0.7404 | 0.6693 | 0.7404 | 0.8604 |
| No log | 7.3651 | 464 | 0.7257 | 0.6772 | 0.7257 | 0.8519 |
| No log | 7.3968 | 466 | 0.7615 | 0.6771 | 0.7615 | 0.8726 |
| No log | 7.4286 | 468 | 0.8473 | 0.5901 | 0.8473 | 0.9205 |
| No log | 7.4603 | 470 | 0.8692 | 0.5903 | 0.8692 | 0.9323 |
| No log | 7.4921 | 472 | 0.8156 | 0.6379 | 0.8156 | 0.9031 |
| No log | 7.5238 | 474 | 0.7829 | 0.6515 | 0.7829 | 0.8848 |
| No log | 7.5556 | 476 | 0.7451 | 0.7118 | 0.7451 | 0.8632 |
| No log | 7.5873 | 478 | 0.7589 | 0.6810 | 0.7589 | 0.8711 |
| No log | 7.6190 | 480 | 0.8328 | 0.6134 | 0.8328 | 0.9126 |
| No log | 7.6508 | 482 | 0.9349 | 0.5924 | 0.9349 | 0.9669 |
| No log | 7.6825 | 484 | 0.9775 | 0.5921 | 0.9775 | 0.9887 |
| No log | 7.7143 | 486 | 0.9191 | 0.6031 | 0.9191 | 0.9587 |
| No log | 7.7460 | 488 | 0.7773 | 0.6910 | 0.7773 | 0.8816 |
| No log | 7.7778 | 490 | 0.7110 | 0.6916 | 0.7110 | 0.8432 |
| No log | 7.8095 | 492 | 0.7269 | 0.6849 | 0.7269 | 0.8526 |
| No log | 7.8413 | 494 | 0.7611 | 0.6846 | 0.7611 | 0.8724 |
| No log | 7.8730 | 496 | 0.7236 | 0.6954 | 0.7236 | 0.8507 |
| No log | 7.9048 | 498 | 0.6763 | 0.7080 | 0.6763 | 0.8224 |
| 0.4733 | 7.9365 | 500 | 0.6864 | 0.7077 | 0.6864 | 0.8285 |
| 0.4733 | 7.9683 | 502 | 0.7302 | 0.7051 | 0.7302 | 0.8545 |
| 0.4733 | 8.0 | 504 | 0.7608 | 0.6998 | 0.7608 | 0.8722 |
| 0.4733 | 8.0317 | 506 | 0.8018 | 0.6896 | 0.8018 | 0.8955 |
| 0.4733 | 8.0635 | 508 | 0.8051 | 0.6794 | 0.8051 | 0.8973 |
| 0.4733 | 8.0952 | 510 | 0.8119 | 0.6570 | 0.8119 | 0.9011 |
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/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k13_task1_organization
Base model
aubmindlab/bert-base-arabertv02