ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k2_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: 0.5802
- Qwk: 0.6099
- Mse: 0.5802
- Rmse: 0.7617
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 | 0.1538 | 2 | 4.1726 | -0.0118 | 4.1726 | 2.0427 |
| No log | 0.3077 | 4 | 2.4193 | 0.0465 | 2.4193 | 1.5554 |
| No log | 0.4615 | 6 | 1.5711 | 0.0143 | 1.5711 | 1.2534 |
| No log | 0.6154 | 8 | 1.2725 | 0.0462 | 1.2725 | 1.1280 |
| No log | 0.7692 | 10 | 1.0545 | 0.2667 | 1.0545 | 1.0269 |
| No log | 0.9231 | 12 | 1.0507 | 0.2239 | 1.0507 | 1.0251 |
| No log | 1.0769 | 14 | 1.1576 | 0.1361 | 1.1576 | 1.0759 |
| No log | 1.2308 | 16 | 1.0091 | 0.2316 | 1.0091 | 1.0045 |
| No log | 1.3846 | 18 | 0.9495 | 0.2865 | 0.9495 | 0.9744 |
| No log | 1.5385 | 20 | 0.9673 | 0.2764 | 0.9673 | 0.9835 |
| No log | 1.6923 | 22 | 1.0250 | 0.2478 | 1.0250 | 1.0124 |
| No log | 1.8462 | 24 | 0.8537 | 0.3896 | 0.8537 | 0.9240 |
| No log | 2.0 | 26 | 0.8663 | 0.4754 | 0.8663 | 0.9308 |
| No log | 2.1538 | 28 | 1.0248 | 0.4668 | 1.0248 | 1.0123 |
| No log | 2.3077 | 30 | 1.4296 | 0.2847 | 1.4296 | 1.1957 |
| No log | 2.4615 | 32 | 2.0362 | 0.2495 | 2.0362 | 1.4269 |
| No log | 2.6154 | 34 | 1.5887 | 0.3583 | 1.5887 | 1.2604 |
| No log | 2.7692 | 36 | 0.7324 | 0.6500 | 0.7324 | 0.8558 |
| No log | 2.9231 | 38 | 0.9198 | 0.5443 | 0.9198 | 0.9590 |
| No log | 3.0769 | 40 | 1.0971 | 0.3083 | 1.0971 | 1.0474 |
| No log | 3.2308 | 42 | 0.6226 | 0.5823 | 0.6226 | 0.7890 |
| No log | 3.3846 | 44 | 0.7857 | 0.5530 | 0.7857 | 0.8864 |
| No log | 3.5385 | 46 | 1.0247 | 0.4754 | 1.0247 | 1.0123 |
| No log | 3.6923 | 48 | 0.8764 | 0.5690 | 0.8764 | 0.9362 |
| No log | 3.8462 | 50 | 0.6209 | 0.6297 | 0.6209 | 0.7879 |
| No log | 4.0 | 52 | 0.7702 | 0.6029 | 0.7702 | 0.8776 |
| No log | 4.1538 | 54 | 0.9271 | 0.4852 | 0.9271 | 0.9629 |
| No log | 4.3077 | 56 | 0.7361 | 0.6401 | 0.7361 | 0.8579 |
| No log | 4.4615 | 58 | 0.5948 | 0.6350 | 0.5948 | 0.7712 |
| No log | 4.6154 | 60 | 0.7468 | 0.6382 | 0.7468 | 0.8642 |
| No log | 4.7692 | 62 | 0.7357 | 0.6565 | 0.7357 | 0.8577 |
| No log | 4.9231 | 64 | 0.6131 | 0.6509 | 0.6131 | 0.7830 |
| No log | 5.0769 | 66 | 0.5878 | 0.6664 | 0.5878 | 0.7667 |
| No log | 5.2308 | 68 | 0.5907 | 0.6628 | 0.5907 | 0.7686 |
| No log | 5.3846 | 70 | 0.5852 | 0.6374 | 0.5852 | 0.7650 |
| No log | 5.5385 | 72 | 0.6772 | 0.6678 | 0.6772 | 0.8229 |
| No log | 5.6923 | 74 | 0.7330 | 0.6291 | 0.7330 | 0.8562 |
| No log | 5.8462 | 76 | 0.7830 | 0.6201 | 0.7830 | 0.8849 |
| No log | 6.0 | 78 | 0.7960 | 0.6201 | 0.7960 | 0.8922 |
| No log | 6.1538 | 80 | 0.6320 | 0.6737 | 0.6320 | 0.7950 |
| No log | 6.3077 | 82 | 0.5979 | 0.6125 | 0.5979 | 0.7733 |
| No log | 6.4615 | 84 | 0.6220 | 0.6411 | 0.6220 | 0.7887 |
| No log | 6.6154 | 86 | 0.6129 | 0.6403 | 0.6129 | 0.7829 |
| No log | 6.7692 | 88 | 0.5642 | 0.6484 | 0.5642 | 0.7511 |
| No log | 6.9231 | 90 | 0.5645 | 0.6301 | 0.5645 | 0.7513 |
| No log | 7.0769 | 92 | 0.5766 | 0.6830 | 0.5766 | 0.7593 |
| No log | 7.2308 | 94 | 0.6244 | 0.5826 | 0.6244 | 0.7902 |
| No log | 7.3846 | 96 | 0.8437 | 0.5819 | 0.8437 | 0.9185 |
| No log | 7.5385 | 98 | 0.7807 | 0.6263 | 0.7807 | 0.8836 |
| No log | 7.6923 | 100 | 0.5970 | 0.6447 | 0.5970 | 0.7727 |
| No log | 7.8462 | 102 | 0.6133 | 0.6958 | 0.6133 | 0.7831 |
| No log | 8.0 | 104 | 0.6207 | 0.6696 | 0.6207 | 0.7878 |
| No log | 8.1538 | 106 | 0.5666 | 0.6846 | 0.5666 | 0.7527 |
| No log | 8.3077 | 108 | 0.7925 | 0.6421 | 0.7925 | 0.8902 |
| No log | 8.4615 | 110 | 1.0515 | 0.4607 | 1.0515 | 1.0254 |
| No log | 8.6154 | 112 | 0.8762 | 0.5798 | 0.8762 | 0.9361 |
| No log | 8.7692 | 114 | 0.5839 | 0.6820 | 0.5839 | 0.7642 |
| No log | 8.9231 | 116 | 0.5703 | 0.6693 | 0.5703 | 0.7552 |
| No log | 9.0769 | 118 | 0.5803 | 0.6966 | 0.5803 | 0.7618 |
| No log | 9.2308 | 120 | 0.7264 | 0.5759 | 0.7264 | 0.8523 |
| No log | 9.3846 | 122 | 0.6685 | 0.5792 | 0.6685 | 0.8176 |
| No log | 9.5385 | 124 | 0.5733 | 0.6249 | 0.5733 | 0.7571 |
| No log | 9.6923 | 126 | 0.5725 | 0.6664 | 0.5725 | 0.7566 |
| No log | 9.8462 | 128 | 0.6026 | 0.6589 | 0.6026 | 0.7763 |
| No log | 10.0 | 130 | 0.5933 | 0.6564 | 0.5933 | 0.7703 |
| No log | 10.1538 | 132 | 0.6120 | 0.6464 | 0.6120 | 0.7823 |
| No log | 10.3077 | 134 | 0.6528 | 0.6828 | 0.6528 | 0.8079 |
| No log | 10.4615 | 136 | 0.6747 | 0.6451 | 0.6747 | 0.8214 |
| No log | 10.6154 | 138 | 0.6483 | 0.7063 | 0.6483 | 0.8052 |
| No log | 10.7692 | 140 | 0.6029 | 0.6853 | 0.6029 | 0.7765 |
| No log | 10.9231 | 142 | 0.5832 | 0.6748 | 0.5832 | 0.7637 |
| No log | 11.0769 | 144 | 0.5987 | 0.6516 | 0.5987 | 0.7738 |
| No log | 11.2308 | 146 | 0.5791 | 0.6625 | 0.5791 | 0.7610 |
| No log | 11.3846 | 148 | 0.5656 | 0.6733 | 0.5656 | 0.7521 |
| No log | 11.5385 | 150 | 0.5755 | 0.6857 | 0.5755 | 0.7586 |
| No log | 11.6923 | 152 | 0.5681 | 0.7034 | 0.5681 | 0.7537 |
| No log | 11.8462 | 154 | 0.6633 | 0.6442 | 0.6633 | 0.8144 |
| No log | 12.0 | 156 | 0.7578 | 0.5969 | 0.7578 | 0.8705 |
| No log | 12.1538 | 158 | 0.7148 | 0.5969 | 0.7148 | 0.8455 |
| No log | 12.3077 | 160 | 0.5779 | 0.6401 | 0.5779 | 0.7602 |
| No log | 12.4615 | 162 | 0.5840 | 0.6269 | 0.5840 | 0.7642 |
| No log | 12.6154 | 164 | 0.6014 | 0.6092 | 0.6014 | 0.7755 |
| No log | 12.7692 | 166 | 0.5649 | 0.6252 | 0.5649 | 0.7516 |
| No log | 12.9231 | 168 | 0.5701 | 0.7104 | 0.5701 | 0.7550 |
| No log | 13.0769 | 170 | 0.6655 | 0.5902 | 0.6655 | 0.8158 |
| No log | 13.2308 | 172 | 0.6281 | 0.6657 | 0.6281 | 0.7926 |
| No log | 13.3846 | 174 | 0.5503 | 0.6813 | 0.5503 | 0.7418 |
| No log | 13.5385 | 176 | 0.6325 | 0.7116 | 0.6325 | 0.7953 |
| No log | 13.6923 | 178 | 0.6465 | 0.6682 | 0.6465 | 0.8041 |
| No log | 13.8462 | 180 | 0.5930 | 0.6751 | 0.5930 | 0.7701 |
| No log | 14.0 | 182 | 0.5565 | 0.6537 | 0.5565 | 0.7460 |
| No log | 14.1538 | 184 | 0.5784 | 0.6544 | 0.5784 | 0.7605 |
| No log | 14.3077 | 186 | 0.6012 | 0.6704 | 0.6012 | 0.7754 |
| No log | 14.4615 | 188 | 0.6015 | 0.7285 | 0.6015 | 0.7756 |
| No log | 14.6154 | 190 | 0.5778 | 0.7077 | 0.5778 | 0.7601 |
| No log | 14.7692 | 192 | 0.5794 | 0.7070 | 0.5794 | 0.7612 |
| No log | 14.9231 | 194 | 0.5754 | 0.7178 | 0.5754 | 0.7585 |
| No log | 15.0769 | 196 | 0.5690 | 0.6995 | 0.5690 | 0.7543 |
| No log | 15.2308 | 198 | 0.5858 | 0.6108 | 0.5858 | 0.7653 |
| No log | 15.3846 | 200 | 0.5904 | 0.6228 | 0.5904 | 0.7684 |
| No log | 15.5385 | 202 | 0.5987 | 0.6488 | 0.5987 | 0.7737 |
| No log | 15.6923 | 204 | 0.5743 | 0.7272 | 0.5743 | 0.7578 |
| No log | 15.8462 | 206 | 0.6122 | 0.6649 | 0.6122 | 0.7824 |
| No log | 16.0 | 208 | 0.6875 | 0.6274 | 0.6875 | 0.8292 |
| No log | 16.1538 | 210 | 0.6686 | 0.6395 | 0.6686 | 0.8177 |
| No log | 16.3077 | 212 | 0.5982 | 0.7283 | 0.5982 | 0.7734 |
| No log | 16.4615 | 214 | 0.5831 | 0.6949 | 0.5831 | 0.7636 |
| No log | 16.6154 | 216 | 0.5817 | 0.5817 | 0.5817 | 0.7627 |
| No log | 16.7692 | 218 | 0.5832 | 0.6134 | 0.5832 | 0.7637 |
| No log | 16.9231 | 220 | 0.5689 | 0.6133 | 0.5689 | 0.7542 |
| No log | 17.0769 | 222 | 0.5759 | 0.6239 | 0.5759 | 0.7589 |
| No log | 17.2308 | 224 | 0.5835 | 0.6133 | 0.5835 | 0.7638 |
| No log | 17.3846 | 226 | 0.5991 | 0.5714 | 0.5991 | 0.7740 |
| No log | 17.5385 | 228 | 0.5765 | 0.6537 | 0.5765 | 0.7593 |
| No log | 17.6923 | 230 | 0.5775 | 0.6830 | 0.5775 | 0.7599 |
| No log | 17.8462 | 232 | 0.5615 | 0.6464 | 0.5615 | 0.7494 |
| No log | 18.0 | 234 | 0.5622 | 0.6350 | 0.5622 | 0.7498 |
| No log | 18.1538 | 236 | 0.5584 | 0.6417 | 0.5584 | 0.7473 |
| No log | 18.3077 | 238 | 0.5373 | 0.6500 | 0.5373 | 0.7330 |
| No log | 18.4615 | 240 | 0.5372 | 0.6575 | 0.5372 | 0.7329 |
| No log | 18.6154 | 242 | 0.6069 | 0.6072 | 0.6069 | 0.7790 |
| No log | 18.7692 | 244 | 0.7254 | 0.6413 | 0.7254 | 0.8517 |
| No log | 18.9231 | 246 | 0.7541 | 0.6055 | 0.7541 | 0.8684 |
| No log | 19.0769 | 248 | 0.7341 | 0.6175 | 0.7341 | 0.8568 |
| No log | 19.2308 | 250 | 0.6155 | 0.6780 | 0.6155 | 0.7845 |
| No log | 19.3846 | 252 | 0.5495 | 0.6764 | 0.5495 | 0.7413 |
| No log | 19.5385 | 254 | 0.5554 | 0.6764 | 0.5554 | 0.7452 |
| No log | 19.6923 | 256 | 0.5417 | 0.6619 | 0.5417 | 0.7360 |
| No log | 19.8462 | 258 | 0.5420 | 0.6460 | 0.5420 | 0.7362 |
| No log | 20.0 | 260 | 0.5511 | 0.6046 | 0.5511 | 0.7424 |
| No log | 20.1538 | 262 | 0.5556 | 0.5845 | 0.5556 | 0.7454 |
| No log | 20.3077 | 264 | 0.5543 | 0.6479 | 0.5543 | 0.7445 |
| No log | 20.4615 | 266 | 0.5785 | 0.6865 | 0.5785 | 0.7606 |
| No log | 20.6154 | 268 | 0.5913 | 0.6948 | 0.5913 | 0.7690 |
| No log | 20.7692 | 270 | 0.5814 | 0.6693 | 0.5814 | 0.7625 |
| No log | 20.9231 | 272 | 0.5713 | 0.6916 | 0.5713 | 0.7558 |
| No log | 21.0769 | 274 | 0.5974 | 0.6281 | 0.5974 | 0.7729 |
| No log | 21.2308 | 276 | 0.6067 | 0.6107 | 0.6067 | 0.7789 |
| No log | 21.3846 | 278 | 0.5770 | 0.6325 | 0.5770 | 0.7596 |
| No log | 21.5385 | 280 | 0.5663 | 0.6672 | 0.5663 | 0.7526 |
| No log | 21.6923 | 282 | 0.5757 | 0.6347 | 0.5757 | 0.7587 |
| No log | 21.8462 | 284 | 0.5810 | 0.6648 | 0.5810 | 0.7622 |
| No log | 22.0 | 286 | 0.5655 | 0.6455 | 0.5655 | 0.7520 |
| No log | 22.1538 | 288 | 0.5568 | 0.6545 | 0.5568 | 0.7462 |
| No log | 22.3077 | 290 | 0.5663 | 0.6134 | 0.5663 | 0.7526 |
| No log | 22.4615 | 292 | 0.5687 | 0.5771 | 0.5687 | 0.7541 |
| No log | 22.6154 | 294 | 0.5646 | 0.5950 | 0.5646 | 0.7514 |
| No log | 22.7692 | 296 | 0.5629 | 0.6500 | 0.5629 | 0.7503 |
| No log | 22.9231 | 298 | 0.6052 | 0.6612 | 0.6052 | 0.7779 |
| No log | 23.0769 | 300 | 0.6843 | 0.6662 | 0.6843 | 0.8272 |
| No log | 23.2308 | 302 | 0.6842 | 0.6688 | 0.6842 | 0.8272 |
| No log | 23.3846 | 304 | 0.6432 | 0.6615 | 0.6432 | 0.8020 |
| No log | 23.5385 | 306 | 0.6146 | 0.6630 | 0.6146 | 0.7840 |
| No log | 23.6923 | 308 | 0.5941 | 0.6552 | 0.5941 | 0.7708 |
| No log | 23.8462 | 310 | 0.5795 | 0.6465 | 0.5795 | 0.7612 |
| No log | 24.0 | 312 | 0.6105 | 0.6402 | 0.6105 | 0.7813 |
| No log | 24.1538 | 314 | 0.6413 | 0.6421 | 0.6413 | 0.8008 |
| No log | 24.3077 | 316 | 0.5939 | 0.6215 | 0.5939 | 0.7706 |
| No log | 24.4615 | 318 | 0.5512 | 0.5771 | 0.5512 | 0.7425 |
| No log | 24.6154 | 320 | 0.5393 | 0.6753 | 0.5393 | 0.7344 |
| No log | 24.7692 | 322 | 0.5468 | 0.6641 | 0.5468 | 0.7395 |
| No log | 24.9231 | 324 | 0.5615 | 0.6929 | 0.5615 | 0.7493 |
| No log | 25.0769 | 326 | 0.5513 | 0.7253 | 0.5513 | 0.7425 |
| No log | 25.2308 | 328 | 0.5967 | 0.6818 | 0.5967 | 0.7725 |
| No log | 25.3846 | 330 | 0.6678 | 0.6427 | 0.6678 | 0.8172 |
| No log | 25.5385 | 332 | 0.6695 | 0.6450 | 0.6695 | 0.8182 |
| No log | 25.6923 | 334 | 0.6018 | 0.6899 | 0.6018 | 0.7757 |
| No log | 25.8462 | 336 | 0.5466 | 0.6830 | 0.5466 | 0.7393 |
| No log | 26.0 | 338 | 0.5785 | 0.6779 | 0.5785 | 0.7606 |
| No log | 26.1538 | 340 | 0.6052 | 0.6469 | 0.6052 | 0.7779 |
| No log | 26.3077 | 342 | 0.5917 | 0.6779 | 0.5917 | 0.7692 |
| No log | 26.4615 | 344 | 0.5733 | 0.6681 | 0.5733 | 0.7572 |
| No log | 26.6154 | 346 | 0.6050 | 0.5748 | 0.6050 | 0.7778 |
| No log | 26.7692 | 348 | 0.6243 | 0.6080 | 0.6243 | 0.7901 |
| No log | 26.9231 | 350 | 0.6025 | 0.6115 | 0.6025 | 0.7762 |
| No log | 27.0769 | 352 | 0.5709 | 0.6433 | 0.5709 | 0.7556 |
| No log | 27.2308 | 354 | 0.5720 | 0.6641 | 0.5720 | 0.7563 |
| No log | 27.3846 | 356 | 0.5662 | 0.6641 | 0.5662 | 0.7525 |
| No log | 27.5385 | 358 | 0.5768 | 0.6154 | 0.5768 | 0.7595 |
| No log | 27.6923 | 360 | 0.6460 | 0.6226 | 0.6460 | 0.8037 |
| No log | 27.8462 | 362 | 0.7496 | 0.6111 | 0.7496 | 0.8658 |
| No log | 28.0 | 364 | 0.7838 | 0.5260 | 0.7838 | 0.8853 |
| No log | 28.1538 | 366 | 0.7476 | 0.5868 | 0.7476 | 0.8646 |
| No log | 28.3077 | 368 | 0.6393 | 0.6525 | 0.6393 | 0.7996 |
| No log | 28.4615 | 370 | 0.5874 | 0.6393 | 0.5874 | 0.7664 |
| No log | 28.6154 | 372 | 0.5699 | 0.6433 | 0.5699 | 0.7549 |
| No log | 28.7692 | 374 | 0.5760 | 0.6227 | 0.5760 | 0.7589 |
| No log | 28.9231 | 376 | 0.5919 | 0.6278 | 0.5919 | 0.7693 |
| No log | 29.0769 | 378 | 0.6046 | 0.6119 | 0.6046 | 0.7775 |
| No log | 29.2308 | 380 | 0.6040 | 0.5917 | 0.6040 | 0.7772 |
| No log | 29.3846 | 382 | 0.5934 | 0.6129 | 0.5934 | 0.7703 |
| No log | 29.5385 | 384 | 0.5753 | 0.5856 | 0.5753 | 0.7585 |
| No log | 29.6923 | 386 | 0.5826 | 0.6262 | 0.5826 | 0.7633 |
| No log | 29.8462 | 388 | 0.5972 | 0.6276 | 0.5972 | 0.7728 |
| No log | 30.0 | 390 | 0.5955 | 0.6262 | 0.5955 | 0.7717 |
| No log | 30.1538 | 392 | 0.5883 | 0.6433 | 0.5883 | 0.7670 |
| No log | 30.3077 | 394 | 0.5933 | 0.6046 | 0.5933 | 0.7702 |
| No log | 30.4615 | 396 | 0.5941 | 0.6262 | 0.5941 | 0.7708 |
| No log | 30.6154 | 398 | 0.5998 | 0.6276 | 0.5998 | 0.7744 |
| No log | 30.7692 | 400 | 0.6212 | 0.6361 | 0.6212 | 0.7882 |
| No log | 30.9231 | 402 | 0.6144 | 0.6328 | 0.6144 | 0.7838 |
| No log | 31.0769 | 404 | 0.5850 | 0.6397 | 0.5850 | 0.7649 |
| No log | 31.2308 | 406 | 0.5644 | 0.6157 | 0.5644 | 0.7513 |
| No log | 31.3846 | 408 | 0.5671 | 0.6619 | 0.5671 | 0.7530 |
| No log | 31.5385 | 410 | 0.5799 | 0.6636 | 0.5799 | 0.7615 |
| No log | 31.6923 | 412 | 0.5779 | 0.6890 | 0.5779 | 0.7602 |
| No log | 31.8462 | 414 | 0.5679 | 0.6593 | 0.5679 | 0.7536 |
| No log | 32.0 | 416 | 0.5616 | 0.6288 | 0.5616 | 0.7494 |
| No log | 32.1538 | 418 | 0.5638 | 0.6288 | 0.5638 | 0.7509 |
| No log | 32.3077 | 420 | 0.5669 | 0.6288 | 0.5669 | 0.7529 |
| No log | 32.4615 | 422 | 0.5690 | 0.5887 | 0.5690 | 0.7543 |
| No log | 32.6154 | 424 | 0.5768 | 0.6593 | 0.5768 | 0.7595 |
| No log | 32.7692 | 426 | 0.6088 | 0.6174 | 0.6088 | 0.7803 |
| No log | 32.9231 | 428 | 0.6137 | 0.6174 | 0.6137 | 0.7834 |
| No log | 33.0769 | 430 | 0.5867 | 0.6278 | 0.5867 | 0.7660 |
| No log | 33.2308 | 432 | 0.5761 | 0.6288 | 0.5761 | 0.7590 |
| No log | 33.3846 | 434 | 0.5969 | 0.6397 | 0.5969 | 0.7726 |
| No log | 33.5385 | 436 | 0.6030 | 0.6493 | 0.6030 | 0.7765 |
| No log | 33.6923 | 438 | 0.5910 | 0.6380 | 0.5910 | 0.7688 |
| No log | 33.8462 | 440 | 0.5638 | 0.6537 | 0.5638 | 0.7509 |
| No log | 34.0 | 442 | 0.5585 | 0.6249 | 0.5585 | 0.7473 |
| No log | 34.1538 | 444 | 0.5610 | 0.6593 | 0.5610 | 0.7490 |
| No log | 34.3077 | 446 | 0.5793 | 0.6256 | 0.5793 | 0.7611 |
| No log | 34.4615 | 448 | 0.5802 | 0.6368 | 0.5802 | 0.7617 |
| No log | 34.6154 | 450 | 0.5685 | 0.6358 | 0.5685 | 0.7540 |
| No log | 34.7692 | 452 | 0.5519 | 0.6259 | 0.5519 | 0.7429 |
| No log | 34.9231 | 454 | 0.5660 | 0.6335 | 0.5660 | 0.7523 |
| No log | 35.0769 | 456 | 0.6022 | 0.5986 | 0.6022 | 0.7760 |
| No log | 35.2308 | 458 | 0.6049 | 0.5986 | 0.6049 | 0.7778 |
| No log | 35.3846 | 460 | 0.5716 | 0.6278 | 0.5716 | 0.7560 |
| No log | 35.5385 | 462 | 0.5518 | 0.6720 | 0.5518 | 0.7428 |
| No log | 35.6923 | 464 | 0.5799 | 0.7286 | 0.5799 | 0.7615 |
| No log | 35.8462 | 466 | 0.6108 | 0.6826 | 0.6108 | 0.7815 |
| No log | 36.0 | 468 | 0.5992 | 0.6661 | 0.5992 | 0.7741 |
| No log | 36.1538 | 470 | 0.5706 | 0.6659 | 0.5706 | 0.7554 |
| No log | 36.3077 | 472 | 0.5772 | 0.6680 | 0.5772 | 0.7597 |
| No log | 36.4615 | 474 | 0.5926 | 0.6455 | 0.5926 | 0.7698 |
| No log | 36.6154 | 476 | 0.5996 | 0.6455 | 0.5996 | 0.7743 |
| No log | 36.7692 | 478 | 0.5869 | 0.6356 | 0.5869 | 0.7661 |
| No log | 36.9231 | 480 | 0.5651 | 0.6500 | 0.5651 | 0.7517 |
| No log | 37.0769 | 482 | 0.5504 | 0.6680 | 0.5504 | 0.7419 |
| No log | 37.2308 | 484 | 0.5455 | 0.6720 | 0.5455 | 0.7386 |
| No log | 37.3846 | 486 | 0.5437 | 0.6330 | 0.5437 | 0.7374 |
| No log | 37.5385 | 488 | 0.5421 | 0.6442 | 0.5421 | 0.7363 |
| No log | 37.6923 | 490 | 0.5462 | 0.6442 | 0.5462 | 0.7391 |
| No log | 37.8462 | 492 | 0.5493 | 0.6770 | 0.5493 | 0.7411 |
| No log | 38.0 | 494 | 0.5538 | 0.6461 | 0.5538 | 0.7442 |
| No log | 38.1538 | 496 | 0.5648 | 0.6753 | 0.5648 | 0.7515 |
| No log | 38.3077 | 498 | 0.5904 | 0.6444 | 0.5904 | 0.7684 |
| 0.2598 | 38.4615 | 500 | 0.6005 | 0.6552 | 0.6005 | 0.7749 |
| 0.2598 | 38.6154 | 502 | 0.6394 | 0.6552 | 0.6394 | 0.7996 |
| 0.2598 | 38.7692 | 504 | 0.6688 | 0.6317 | 0.6688 | 0.8178 |
| 0.2598 | 38.9231 | 506 | 0.6392 | 0.6411 | 0.6392 | 0.7995 |
| 0.2598 | 39.0769 | 508 | 0.6166 | 0.6215 | 0.6166 | 0.7852 |
| 0.2598 | 39.2308 | 510 | 0.5802 | 0.6099 | 0.5802 | 0.7617 |
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_run1_AugV5_k2_task5_organization
Base model
aubmindlab/bert-base-arabertv02