ArabicNewSplits6_FineTuningAraBERTFreeze_run1_AugV5_k5_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: 0.7844
- Qwk: 0.5139
- Mse: 0.7844
- Rmse: 0.8857
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: 16
- eval_batch_size: 16
- 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 | 6.3621 | -0.0278 | 6.3621 | 2.5223 |
| No log | 0.3077 | 4 | 4.2937 | -0.0283 | 4.2937 | 2.0721 |
| No log | 0.4615 | 6 | 2.8830 | 0.0148 | 2.8830 | 1.6979 |
| No log | 0.6154 | 8 | 1.9814 | 0.0383 | 1.9814 | 1.4076 |
| No log | 0.7692 | 10 | 1.3362 | 0.1036 | 1.3362 | 1.1560 |
| No log | 0.9231 | 12 | 0.9734 | 0.0912 | 0.9734 | 0.9866 |
| No log | 1.0769 | 14 | 0.9058 | 0.0340 | 0.9058 | 0.9518 |
| No log | 1.2308 | 16 | 0.9885 | -0.0344 | 0.9885 | 0.9942 |
| No log | 1.3846 | 18 | 0.8878 | 0.0023 | 0.8878 | 0.9422 |
| No log | 1.5385 | 20 | 0.8030 | 0.0094 | 0.8030 | 0.8961 |
| No log | 1.6923 | 22 | 0.7178 | 0.1273 | 0.7178 | 0.8472 |
| No log | 1.8462 | 24 | 0.6525 | 0.2200 | 0.6525 | 0.8078 |
| No log | 2.0 | 26 | 0.6477 | 0.3310 | 0.6477 | 0.8048 |
| No log | 2.1538 | 28 | 0.6822 | 0.3798 | 0.6822 | 0.8260 |
| No log | 2.3077 | 30 | 0.7293 | 0.1633 | 0.7293 | 0.8540 |
| No log | 2.4615 | 32 | 0.7344 | 0.1751 | 0.7344 | 0.8570 |
| No log | 2.6154 | 34 | 0.7303 | 0.1751 | 0.7303 | 0.8546 |
| No log | 2.7692 | 36 | 0.7113 | 0.2333 | 0.7113 | 0.8434 |
| No log | 2.9231 | 38 | 0.6908 | 0.2412 | 0.6908 | 0.8311 |
| No log | 3.0769 | 40 | 0.6796 | 0.3012 | 0.6796 | 0.8244 |
| No log | 3.2308 | 42 | 0.6825 | 0.3294 | 0.6825 | 0.8261 |
| No log | 3.3846 | 44 | 0.7281 | 0.2547 | 0.7281 | 0.8533 |
| No log | 3.5385 | 46 | 0.7533 | 0.2852 | 0.7533 | 0.8679 |
| No log | 3.6923 | 48 | 0.6811 | 0.3230 | 0.6811 | 0.8253 |
| No log | 3.8462 | 50 | 0.5992 | 0.3969 | 0.5992 | 0.7741 |
| No log | 4.0 | 52 | 0.5650 | 0.3991 | 0.5650 | 0.7517 |
| No log | 4.1538 | 54 | 0.5854 | 0.4317 | 0.5854 | 0.7651 |
| No log | 4.3077 | 56 | 0.5893 | 0.4524 | 0.5893 | 0.7677 |
| No log | 4.4615 | 58 | 0.5575 | 0.4344 | 0.5575 | 0.7467 |
| No log | 4.6154 | 60 | 0.5375 | 0.3981 | 0.5375 | 0.7332 |
| No log | 4.7692 | 62 | 0.5373 | 0.4375 | 0.5373 | 0.7330 |
| No log | 4.9231 | 64 | 0.5724 | 0.4714 | 0.5724 | 0.7566 |
| No log | 5.0769 | 66 | 0.6115 | 0.4132 | 0.6115 | 0.7820 |
| No log | 5.2308 | 68 | 0.6651 | 0.4171 | 0.6651 | 0.8155 |
| No log | 5.3846 | 70 | 0.7229 | 0.3476 | 0.7229 | 0.8502 |
| No log | 5.5385 | 72 | 0.6914 | 0.3723 | 0.6914 | 0.8315 |
| No log | 5.6923 | 74 | 0.5880 | 0.4207 | 0.5880 | 0.7668 |
| No log | 5.8462 | 76 | 0.5281 | 0.5 | 0.5281 | 0.7267 |
| No log | 6.0 | 78 | 0.5219 | 0.4885 | 0.5219 | 0.7224 |
| No log | 6.1538 | 80 | 0.5302 | 0.4555 | 0.5302 | 0.7281 |
| No log | 6.3077 | 82 | 0.5304 | 0.4555 | 0.5304 | 0.7283 |
| No log | 6.4615 | 84 | 0.5280 | 0.4555 | 0.5280 | 0.7267 |
| No log | 6.6154 | 86 | 0.5224 | 0.4566 | 0.5224 | 0.7228 |
| No log | 6.7692 | 88 | 0.5333 | 0.4968 | 0.5333 | 0.7303 |
| No log | 6.9231 | 90 | 0.5647 | 0.5260 | 0.5647 | 0.7514 |
| No log | 7.0769 | 92 | 0.6269 | 0.5018 | 0.6269 | 0.7917 |
| No log | 7.2308 | 94 | 0.6175 | 0.5153 | 0.6175 | 0.7858 |
| No log | 7.3846 | 96 | 0.5944 | 0.5357 | 0.5944 | 0.7710 |
| No log | 7.5385 | 98 | 0.5462 | 0.5424 | 0.5462 | 0.7391 |
| No log | 7.6923 | 100 | 0.5073 | 0.5193 | 0.5073 | 0.7122 |
| No log | 7.8462 | 102 | 0.4948 | 0.5441 | 0.4948 | 0.7034 |
| No log | 8.0 | 104 | 0.4960 | 0.5330 | 0.4960 | 0.7042 |
| No log | 8.1538 | 106 | 0.4977 | 0.5330 | 0.4977 | 0.7055 |
| No log | 8.3077 | 108 | 0.5104 | 0.5446 | 0.5104 | 0.7145 |
| No log | 8.4615 | 110 | 0.5309 | 0.5612 | 0.5309 | 0.7286 |
| No log | 8.6154 | 112 | 0.5436 | 0.5427 | 0.5436 | 0.7373 |
| No log | 8.7692 | 114 | 0.5618 | 0.5373 | 0.5618 | 0.7495 |
| No log | 8.9231 | 116 | 0.5671 | 0.5264 | 0.5671 | 0.7531 |
| No log | 9.0769 | 118 | 0.5658 | 0.5311 | 0.5658 | 0.7522 |
| No log | 9.2308 | 120 | 0.5572 | 0.5243 | 0.5572 | 0.7465 |
| No log | 9.3846 | 122 | 0.5574 | 0.5577 | 0.5574 | 0.7466 |
| No log | 9.5385 | 124 | 0.5407 | 0.5770 | 0.5407 | 0.7353 |
| No log | 9.6923 | 126 | 0.5393 | 0.5930 | 0.5393 | 0.7343 |
| No log | 9.8462 | 128 | 0.5564 | 0.5574 | 0.5564 | 0.7459 |
| No log | 10.0 | 130 | 0.5519 | 0.5692 | 0.5519 | 0.7429 |
| No log | 10.1538 | 132 | 0.5398 | 0.5694 | 0.5398 | 0.7347 |
| No log | 10.3077 | 134 | 0.5329 | 0.5333 | 0.5329 | 0.7300 |
| No log | 10.4615 | 136 | 0.5356 | 0.5449 | 0.5356 | 0.7318 |
| No log | 10.6154 | 138 | 0.5396 | 0.5586 | 0.5396 | 0.7346 |
| No log | 10.7692 | 140 | 0.5460 | 0.5649 | 0.5460 | 0.7389 |
| No log | 10.9231 | 142 | 0.5691 | 0.5607 | 0.5691 | 0.7544 |
| No log | 11.0769 | 144 | 0.6098 | 0.5523 | 0.6098 | 0.7809 |
| No log | 11.2308 | 146 | 0.6153 | 0.5609 | 0.6153 | 0.7844 |
| No log | 11.3846 | 148 | 0.5861 | 0.5707 | 0.5861 | 0.7656 |
| No log | 11.5385 | 150 | 0.5606 | 0.5504 | 0.5606 | 0.7488 |
| No log | 11.6923 | 152 | 0.5747 | 0.5403 | 0.5747 | 0.7581 |
| No log | 11.8462 | 154 | 0.5895 | 0.5408 | 0.5895 | 0.7678 |
| No log | 12.0 | 156 | 0.5823 | 0.5220 | 0.5823 | 0.7631 |
| No log | 12.1538 | 158 | 0.5629 | 0.5689 | 0.5629 | 0.7502 |
| No log | 12.3077 | 160 | 0.5564 | 0.5895 | 0.5564 | 0.7460 |
| No log | 12.4615 | 162 | 0.5592 | 0.5749 | 0.5592 | 0.7478 |
| No log | 12.6154 | 164 | 0.5560 | 0.5814 | 0.5560 | 0.7457 |
| No log | 12.7692 | 166 | 0.5553 | 0.6010 | 0.5553 | 0.7452 |
| No log | 12.9231 | 168 | 0.5625 | 0.5655 | 0.5625 | 0.7500 |
| No log | 13.0769 | 170 | 0.5692 | 0.5741 | 0.5692 | 0.7544 |
| No log | 13.2308 | 172 | 0.5847 | 0.6005 | 0.5847 | 0.7647 |
| No log | 13.3846 | 174 | 0.5995 | 0.5865 | 0.5995 | 0.7743 |
| No log | 13.5385 | 176 | 0.6021 | 0.5807 | 0.6021 | 0.7759 |
| No log | 13.6923 | 178 | 0.5962 | 0.5251 | 0.5962 | 0.7721 |
| No log | 13.8462 | 180 | 0.6018 | 0.5308 | 0.6018 | 0.7758 |
| No log | 14.0 | 182 | 0.6099 | 0.5173 | 0.6099 | 0.7810 |
| No log | 14.1538 | 184 | 0.5976 | 0.5243 | 0.5976 | 0.7730 |
| No log | 14.3077 | 186 | 0.5940 | 0.5075 | 0.5940 | 0.7707 |
| No log | 14.4615 | 188 | 0.6246 | 0.5960 | 0.6246 | 0.7903 |
| No log | 14.6154 | 190 | 0.6318 | 0.5452 | 0.6318 | 0.7949 |
| No log | 14.7692 | 192 | 0.6163 | 0.5616 | 0.6163 | 0.7851 |
| No log | 14.9231 | 194 | 0.5961 | 0.5778 | 0.5961 | 0.7721 |
| No log | 15.0769 | 196 | 0.5983 | 0.5381 | 0.5983 | 0.7735 |
| No log | 15.2308 | 198 | 0.6075 | 0.5461 | 0.6075 | 0.7794 |
| No log | 15.3846 | 200 | 0.6308 | 0.5246 | 0.6308 | 0.7942 |
| No log | 15.5385 | 202 | 0.6703 | 0.5018 | 0.6703 | 0.8187 |
| No log | 15.6923 | 204 | 0.6880 | 0.5046 | 0.6880 | 0.8295 |
| No log | 15.8462 | 206 | 0.6542 | 0.5049 | 0.6542 | 0.8088 |
| No log | 16.0 | 208 | 0.6319 | 0.5579 | 0.6319 | 0.7949 |
| No log | 16.1538 | 210 | 0.6399 | 0.5214 | 0.6399 | 0.8000 |
| No log | 16.3077 | 212 | 0.6499 | 0.5248 | 0.6499 | 0.8062 |
| No log | 16.4615 | 214 | 0.6552 | 0.5120 | 0.6552 | 0.8094 |
| No log | 16.6154 | 216 | 0.6504 | 0.5639 | 0.6504 | 0.8064 |
| No log | 16.7692 | 218 | 0.6460 | 0.5289 | 0.6460 | 0.8037 |
| No log | 16.9231 | 220 | 0.6544 | 0.5569 | 0.6544 | 0.8089 |
| No log | 17.0769 | 222 | 0.6566 | 0.5509 | 0.6566 | 0.8103 |
| No log | 17.2308 | 224 | 0.6439 | 0.5475 | 0.6439 | 0.8024 |
| No log | 17.3846 | 226 | 0.6425 | 0.5364 | 0.6425 | 0.8016 |
| No log | 17.5385 | 228 | 0.6530 | 0.5297 | 0.6530 | 0.8081 |
| No log | 17.6923 | 230 | 0.6537 | 0.5649 | 0.6537 | 0.8085 |
| No log | 17.8462 | 232 | 0.6505 | 0.5248 | 0.6505 | 0.8065 |
| No log | 18.0 | 234 | 0.6500 | 0.5394 | 0.6500 | 0.8062 |
| No log | 18.1538 | 236 | 0.6595 | 0.5509 | 0.6595 | 0.8121 |
| No log | 18.3077 | 238 | 0.6512 | 0.5416 | 0.6512 | 0.8070 |
| No log | 18.4615 | 240 | 0.6356 | 0.5211 | 0.6356 | 0.7972 |
| No log | 18.6154 | 242 | 0.6380 | 0.5129 | 0.6380 | 0.7988 |
| No log | 18.7692 | 244 | 0.6483 | 0.5234 | 0.6483 | 0.8051 |
| No log | 18.9231 | 246 | 0.6559 | 0.5552 | 0.6559 | 0.8099 |
| No log | 19.0769 | 248 | 0.6581 | 0.5552 | 0.6581 | 0.8112 |
| No log | 19.2308 | 250 | 0.6665 | 0.5392 | 0.6665 | 0.8164 |
| No log | 19.3846 | 252 | 0.6697 | 0.5258 | 0.6697 | 0.8184 |
| No log | 19.5385 | 254 | 0.6790 | 0.5341 | 0.6790 | 0.8240 |
| No log | 19.6923 | 256 | 0.6716 | 0.5397 | 0.6716 | 0.8195 |
| No log | 19.8462 | 258 | 0.6572 | 0.5319 | 0.6572 | 0.8107 |
| No log | 20.0 | 260 | 0.6592 | 0.5634 | 0.6592 | 0.8119 |
| No log | 20.1538 | 262 | 0.6674 | 0.5729 | 0.6674 | 0.8169 |
| No log | 20.3077 | 264 | 0.6778 | 0.5675 | 0.6778 | 0.8233 |
| No log | 20.4615 | 266 | 0.6870 | 0.5830 | 0.6870 | 0.8289 |
| No log | 20.6154 | 268 | 0.6991 | 0.5798 | 0.6991 | 0.8361 |
| No log | 20.7692 | 270 | 0.7070 | 0.5853 | 0.7070 | 0.8408 |
| No log | 20.9231 | 272 | 0.7096 | 0.5853 | 0.7096 | 0.8424 |
| No log | 21.0769 | 274 | 0.7078 | 0.5550 | 0.7078 | 0.8413 |
| No log | 21.2308 | 276 | 0.7038 | 0.5248 | 0.7038 | 0.8389 |
| No log | 21.3846 | 278 | 0.7035 | 0.5475 | 0.7035 | 0.8387 |
| No log | 21.5385 | 280 | 0.7191 | 0.5530 | 0.7191 | 0.8480 |
| No log | 21.6923 | 282 | 0.7436 | 0.5461 | 0.7436 | 0.8623 |
| No log | 21.8462 | 284 | 0.7330 | 0.5422 | 0.7330 | 0.8562 |
| No log | 22.0 | 286 | 0.6992 | 0.5519 | 0.6992 | 0.8362 |
| No log | 22.1538 | 288 | 0.6847 | 0.5635 | 0.6847 | 0.8275 |
| No log | 22.3077 | 290 | 0.6924 | 0.5594 | 0.6924 | 0.8321 |
| No log | 22.4615 | 292 | 0.6932 | 0.5594 | 0.6932 | 0.8326 |
| No log | 22.6154 | 294 | 0.6936 | 0.5594 | 0.6936 | 0.8328 |
| No log | 22.7692 | 296 | 0.6979 | 0.5481 | 0.6979 | 0.8354 |
| No log | 22.9231 | 298 | 0.7031 | 0.5367 | 0.7031 | 0.8385 |
| No log | 23.0769 | 300 | 0.7163 | 0.5092 | 0.7163 | 0.8464 |
| No log | 23.2308 | 302 | 0.7417 | 0.4896 | 0.7417 | 0.8612 |
| No log | 23.3846 | 304 | 0.7555 | 0.4907 | 0.7555 | 0.8692 |
| No log | 23.5385 | 306 | 0.7574 | 0.4804 | 0.7574 | 0.8703 |
| No log | 23.6923 | 308 | 0.7555 | 0.5035 | 0.7555 | 0.8692 |
| No log | 23.8462 | 310 | 0.7587 | 0.5235 | 0.7587 | 0.8710 |
| No log | 24.0 | 312 | 0.7599 | 0.5315 | 0.7599 | 0.8717 |
| No log | 24.1538 | 314 | 0.7554 | 0.5522 | 0.7554 | 0.8691 |
| No log | 24.3077 | 316 | 0.7587 | 0.5452 | 0.7587 | 0.8710 |
| No log | 24.4615 | 318 | 0.7699 | 0.5301 | 0.7699 | 0.8774 |
| No log | 24.6154 | 320 | 0.7688 | 0.5312 | 0.7688 | 0.8768 |
| No log | 24.7692 | 322 | 0.7664 | 0.5003 | 0.7664 | 0.8755 |
| No log | 24.9231 | 324 | 0.7711 | 0.5058 | 0.7711 | 0.8781 |
| No log | 25.0769 | 326 | 0.7749 | 0.5297 | 0.7749 | 0.8803 |
| No log | 25.2308 | 328 | 0.7793 | 0.5600 | 0.7793 | 0.8828 |
| No log | 25.3846 | 330 | 0.7632 | 0.5218 | 0.7632 | 0.8736 |
| No log | 25.5385 | 332 | 0.7507 | 0.5388 | 0.7507 | 0.8664 |
| No log | 25.6923 | 334 | 0.7426 | 0.5469 | 0.7426 | 0.8617 |
| No log | 25.8462 | 336 | 0.7585 | 0.5632 | 0.7585 | 0.8709 |
| No log | 26.0 | 338 | 0.7659 | 0.5526 | 0.7659 | 0.8752 |
| No log | 26.1538 | 340 | 0.7613 | 0.5169 | 0.7613 | 0.8725 |
| No log | 26.3077 | 342 | 0.7604 | 0.4919 | 0.7604 | 0.8720 |
| No log | 26.4615 | 344 | 0.7687 | 0.4709 | 0.7687 | 0.8767 |
| No log | 26.6154 | 346 | 0.7730 | 0.5182 | 0.7730 | 0.8792 |
| No log | 26.7692 | 348 | 0.7598 | 0.5420 | 0.7598 | 0.8717 |
| No log | 26.9231 | 350 | 0.7513 | 0.5521 | 0.7513 | 0.8668 |
| No log | 27.0769 | 352 | 0.7578 | 0.5683 | 0.7578 | 0.8705 |
| No log | 27.2308 | 354 | 0.7626 | 0.5750 | 0.7626 | 0.8733 |
| No log | 27.3846 | 356 | 0.7637 | 0.5550 | 0.7637 | 0.8739 |
| No log | 27.5385 | 358 | 0.7791 | 0.5264 | 0.7791 | 0.8827 |
| No log | 27.6923 | 360 | 0.7976 | 0.5235 | 0.7976 | 0.8931 |
| No log | 27.8462 | 362 | 0.7959 | 0.5351 | 0.7959 | 0.8921 |
| No log | 28.0 | 364 | 0.7896 | 0.5281 | 0.7896 | 0.8886 |
| No log | 28.1538 | 366 | 0.7947 | 0.5026 | 0.7947 | 0.8915 |
| No log | 28.3077 | 368 | 0.7937 | 0.5043 | 0.7937 | 0.8909 |
| No log | 28.4615 | 370 | 0.8050 | 0.4941 | 0.8050 | 0.8972 |
| No log | 28.6154 | 372 | 0.7988 | 0.4941 | 0.7988 | 0.8937 |
| No log | 28.7692 | 374 | 0.7909 | 0.5183 | 0.7909 | 0.8893 |
| No log | 28.9231 | 376 | 0.8011 | 0.5377 | 0.8011 | 0.8950 |
| No log | 29.0769 | 378 | 0.8099 | 0.5420 | 0.8099 | 0.9000 |
| No log | 29.2308 | 380 | 0.8074 | 0.5304 | 0.8074 | 0.8986 |
| No log | 29.3846 | 382 | 0.8141 | 0.5304 | 0.8141 | 0.9023 |
| No log | 29.5385 | 384 | 0.8227 | 0.5201 | 0.8227 | 0.9070 |
| No log | 29.6923 | 386 | 0.8502 | 0.4952 | 0.8502 | 0.9221 |
| No log | 29.8462 | 388 | 0.8526 | 0.5151 | 0.8526 | 0.9234 |
| No log | 30.0 | 390 | 0.8234 | 0.5275 | 0.8234 | 0.9074 |
| No log | 30.1538 | 392 | 0.8091 | 0.5327 | 0.8091 | 0.8995 |
| No log | 30.3077 | 394 | 0.8037 | 0.5327 | 0.8037 | 0.8965 |
| No log | 30.4615 | 396 | 0.7973 | 0.5362 | 0.7973 | 0.8929 |
| No log | 30.6154 | 398 | 0.7852 | 0.5481 | 0.7852 | 0.8861 |
| No log | 30.7692 | 400 | 0.7677 | 0.5120 | 0.7677 | 0.8762 |
| No log | 30.9231 | 402 | 0.7539 | 0.5120 | 0.7539 | 0.8683 |
| No log | 31.0769 | 404 | 0.7556 | 0.5124 | 0.7556 | 0.8693 |
| No log | 31.2308 | 406 | 0.7528 | 0.5532 | 0.7528 | 0.8676 |
| No log | 31.3846 | 408 | 0.7322 | 0.5344 | 0.7322 | 0.8557 |
| No log | 31.5385 | 410 | 0.7217 | 0.5437 | 0.7217 | 0.8495 |
| No log | 31.6923 | 412 | 0.7153 | 0.5379 | 0.7153 | 0.8458 |
| No log | 31.8462 | 414 | 0.7131 | 0.5436 | 0.7131 | 0.8445 |
| No log | 32.0 | 416 | 0.7160 | 0.5493 | 0.7160 | 0.8462 |
| No log | 32.1538 | 418 | 0.7170 | 0.5548 | 0.7170 | 0.8467 |
| No log | 32.3077 | 420 | 0.7169 | 0.5548 | 0.7169 | 0.8467 |
| No log | 32.4615 | 422 | 0.7228 | 0.5521 | 0.7228 | 0.8502 |
| No log | 32.6154 | 424 | 0.7318 | 0.5494 | 0.7318 | 0.8554 |
| No log | 32.7692 | 426 | 0.7378 | 0.5766 | 0.7378 | 0.8589 |
| No log | 32.9231 | 428 | 0.7508 | 0.5439 | 0.7508 | 0.8665 |
| No log | 33.0769 | 430 | 0.7566 | 0.5123 | 0.7566 | 0.8698 |
| No log | 33.2308 | 432 | 0.7729 | 0.5123 | 0.7729 | 0.8791 |
| No log | 33.3846 | 434 | 0.7990 | 0.5299 | 0.7990 | 0.8939 |
| No log | 33.5385 | 436 | 0.8334 | 0.5265 | 0.8334 | 0.9129 |
| No log | 33.6923 | 438 | 0.8503 | 0.5174 | 0.8503 | 0.9221 |
| No log | 33.8462 | 440 | 0.8331 | 0.5248 | 0.8331 | 0.9127 |
| No log | 34.0 | 442 | 0.8093 | 0.5623 | 0.8093 | 0.8996 |
| No log | 34.1538 | 444 | 0.8002 | 0.5586 | 0.8002 | 0.8946 |
| No log | 34.3077 | 446 | 0.7969 | 0.5559 | 0.7969 | 0.8927 |
| No log | 34.4615 | 448 | 0.7972 | 0.5547 | 0.7972 | 0.8928 |
| No log | 34.6154 | 450 | 0.7996 | 0.5620 | 0.7996 | 0.8942 |
| No log | 34.7692 | 452 | 0.7937 | 0.5670 | 0.7937 | 0.8909 |
| No log | 34.9231 | 454 | 0.7709 | 0.5546 | 0.7709 | 0.8780 |
| No log | 35.0769 | 456 | 0.7627 | 0.5546 | 0.7627 | 0.8734 |
| No log | 35.2308 | 458 | 0.7542 | 0.5546 | 0.7542 | 0.8684 |
| No log | 35.3846 | 460 | 0.7552 | 0.5546 | 0.7552 | 0.8690 |
| No log | 35.5385 | 462 | 0.7661 | 0.5546 | 0.7661 | 0.8753 |
| No log | 35.6923 | 464 | 0.7649 | 0.5470 | 0.7649 | 0.8746 |
| No log | 35.8462 | 466 | 0.7702 | 0.5434 | 0.7702 | 0.8776 |
| No log | 36.0 | 468 | 0.7819 | 0.5546 | 0.7819 | 0.8843 |
| No log | 36.1538 | 470 | 0.7875 | 0.5546 | 0.7875 | 0.8874 |
| No log | 36.3077 | 472 | 0.7780 | 0.5385 | 0.7780 | 0.8821 |
| No log | 36.4615 | 474 | 0.7723 | 0.5286 | 0.7723 | 0.8788 |
| No log | 36.6154 | 476 | 0.7728 | 0.5437 | 0.7728 | 0.8791 |
| No log | 36.7692 | 478 | 0.7864 | 0.5519 | 0.7864 | 0.8868 |
| No log | 36.9231 | 480 | 0.8208 | 0.5440 | 0.8208 | 0.9060 |
| No log | 37.0769 | 482 | 0.8157 | 0.5519 | 0.8157 | 0.9032 |
| No log | 37.2308 | 484 | 0.8034 | 0.5472 | 0.8034 | 0.8963 |
| No log | 37.3846 | 486 | 0.7869 | 0.5447 | 0.7869 | 0.8871 |
| No log | 37.5385 | 488 | 0.7872 | 0.5559 | 0.7872 | 0.8872 |
| No log | 37.6923 | 490 | 0.7812 | 0.5419 | 0.7812 | 0.8838 |
| No log | 37.8462 | 492 | 0.7937 | 0.5336 | 0.7937 | 0.8909 |
| No log | 38.0 | 494 | 0.8051 | 0.5235 | 0.8051 | 0.8973 |
| No log | 38.1538 | 496 | 0.8061 | 0.5304 | 0.8061 | 0.8978 |
| No log | 38.3077 | 498 | 0.7890 | 0.5322 | 0.7890 | 0.8883 |
| 0.5165 | 38.4615 | 500 | 0.7793 | 0.5384 | 0.7793 | 0.8828 |
| 0.5165 | 38.6154 | 502 | 0.7826 | 0.5447 | 0.7826 | 0.8846 |
| 0.5165 | 38.7692 | 504 | 0.7840 | 0.5546 | 0.7840 | 0.8855 |
| 0.5165 | 38.9231 | 506 | 0.7782 | 0.5382 | 0.7782 | 0.8822 |
| 0.5165 | 39.0769 | 508 | 0.7729 | 0.5324 | 0.7729 | 0.8792 |
| 0.5165 | 39.2308 | 510 | 0.7754 | 0.4893 | 0.7754 | 0.8806 |
| 0.5165 | 39.3846 | 512 | 0.7782 | 0.5061 | 0.7782 | 0.8822 |
| 0.5165 | 39.5385 | 514 | 0.7844 | 0.5139 | 0.7844 | 0.8857 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run1_AugV5_k5_task2_organization
Base model
aubmindlab/bert-base-arabertv02