ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k5_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: 0.5970
- Qwk: 0.6711
- Mse: 0.5970
- Rmse: 0.7727
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 | 4.0121 | 0.0069 | 4.0121 | 2.0030 |
No log | 0.2667 | 4 | 2.1405 | 0.0450 | 2.1405 | 1.4630 |
No log | 0.4 | 6 | 1.4755 | 0.0408 | 1.4755 | 1.2147 |
No log | 0.5333 | 8 | 1.0516 | 0.2734 | 1.0516 | 1.0255 |
No log | 0.6667 | 10 | 1.0824 | 0.1643 | 1.0824 | 1.0404 |
No log | 0.8 | 12 | 1.2759 | -0.1333 | 1.2759 | 1.1295 |
No log | 0.9333 | 14 | 1.4281 | -0.0777 | 1.4281 | 1.1951 |
No log | 1.0667 | 16 | 1.5161 | -0.0709 | 1.5161 | 1.2313 |
No log | 1.2 | 18 | 1.2867 | -0.0394 | 1.2867 | 1.1343 |
No log | 1.3333 | 20 | 1.1995 | 0.0967 | 1.1995 | 1.0952 |
No log | 1.4667 | 22 | 1.2540 | -0.0032 | 1.2540 | 1.1198 |
No log | 1.6 | 24 | 1.1729 | 0.0820 | 1.1729 | 1.0830 |
No log | 1.7333 | 26 | 1.0244 | 0.3326 | 1.0244 | 1.0121 |
No log | 1.8667 | 28 | 1.0345 | 0.2697 | 1.0345 | 1.0171 |
No log | 2.0 | 30 | 1.0688 | 0.2236 | 1.0688 | 1.0338 |
No log | 2.1333 | 32 | 1.0751 | 0.2390 | 1.0751 | 1.0369 |
No log | 2.2667 | 34 | 1.0323 | 0.2416 | 1.0323 | 1.0160 |
No log | 2.4 | 36 | 1.0861 | 0.1436 | 1.0861 | 1.0422 |
No log | 2.5333 | 38 | 1.0907 | 0.1436 | 1.0907 | 1.0444 |
No log | 2.6667 | 40 | 0.9866 | 0.2416 | 0.9866 | 0.9933 |
No log | 2.8 | 42 | 0.9687 | 0.2265 | 0.9687 | 0.9842 |
No log | 2.9333 | 44 | 0.9995 | 0.3372 | 0.9995 | 0.9997 |
No log | 3.0667 | 46 | 1.0022 | 0.3687 | 1.0022 | 1.0011 |
No log | 3.2 | 48 | 1.1401 | 0.3863 | 1.1401 | 1.0678 |
No log | 3.3333 | 50 | 1.2943 | 0.2993 | 1.2943 | 1.1377 |
No log | 3.4667 | 52 | 1.1018 | 0.3502 | 1.1018 | 1.0497 |
No log | 3.6 | 54 | 0.8783 | 0.4494 | 0.8783 | 0.9372 |
No log | 3.7333 | 56 | 1.0112 | 0.3449 | 1.0112 | 1.0056 |
No log | 3.8667 | 58 | 1.3694 | 0.0840 | 1.3694 | 1.1702 |
No log | 4.0 | 60 | 1.4294 | 0.1379 | 1.4294 | 1.1956 |
No log | 4.1333 | 62 | 1.1873 | 0.2857 | 1.1873 | 1.0896 |
No log | 4.2667 | 64 | 0.8918 | 0.4265 | 0.8918 | 0.9443 |
No log | 4.4 | 66 | 0.7505 | 0.5010 | 0.7505 | 0.8663 |
No log | 4.5333 | 68 | 0.7444 | 0.5375 | 0.7444 | 0.8628 |
No log | 4.6667 | 70 | 0.7857 | 0.5199 | 0.7857 | 0.8864 |
No log | 4.8 | 72 | 0.9551 | 0.3624 | 0.9551 | 0.9773 |
No log | 4.9333 | 74 | 0.8291 | 0.5586 | 0.8291 | 0.9106 |
No log | 5.0667 | 76 | 0.7305 | 0.4850 | 0.7305 | 0.8547 |
No log | 5.2 | 78 | 0.8553 | 0.5230 | 0.8553 | 0.9248 |
No log | 5.3333 | 80 | 0.7356 | 0.5163 | 0.7356 | 0.8577 |
No log | 5.4667 | 82 | 0.6618 | 0.5235 | 0.6618 | 0.8135 |
No log | 5.6 | 84 | 0.7038 | 0.5910 | 0.7038 | 0.8389 |
No log | 5.7333 | 86 | 0.6963 | 0.4708 | 0.6963 | 0.8344 |
No log | 5.8667 | 88 | 0.6581 | 0.4995 | 0.6581 | 0.8112 |
No log | 6.0 | 90 | 0.7345 | 0.5598 | 0.7345 | 0.8570 |
No log | 6.1333 | 92 | 0.6786 | 0.5860 | 0.6786 | 0.8238 |
No log | 6.2667 | 94 | 0.6124 | 0.6095 | 0.6124 | 0.7826 |
No log | 6.4 | 96 | 0.5998 | 0.6306 | 0.5998 | 0.7744 |
No log | 6.5333 | 98 | 0.6587 | 0.6573 | 0.6587 | 0.8116 |
No log | 6.6667 | 100 | 0.6829 | 0.6573 | 0.6829 | 0.8264 |
No log | 6.8 | 102 | 0.6049 | 0.7001 | 0.6049 | 0.7778 |
No log | 6.9333 | 104 | 0.7245 | 0.5259 | 0.7245 | 0.8512 |
No log | 7.0667 | 106 | 1.0516 | 0.4929 | 1.0516 | 1.0255 |
No log | 7.2 | 108 | 0.8983 | 0.5283 | 0.8983 | 0.9478 |
No log | 7.3333 | 110 | 0.6201 | 0.5876 | 0.6201 | 0.7875 |
No log | 7.4667 | 112 | 0.6080 | 0.7019 | 0.6080 | 0.7798 |
No log | 7.6 | 114 | 0.5752 | 0.7074 | 0.5752 | 0.7584 |
No log | 7.7333 | 116 | 0.6052 | 0.6234 | 0.6052 | 0.7779 |
No log | 7.8667 | 118 | 0.7458 | 0.5664 | 0.7458 | 0.8636 |
No log | 8.0 | 120 | 0.7472 | 0.5821 | 0.7472 | 0.8644 |
No log | 8.1333 | 122 | 0.6138 | 0.6386 | 0.6138 | 0.7834 |
No log | 8.2667 | 124 | 0.6058 | 0.6242 | 0.6058 | 0.7783 |
No log | 8.4 | 126 | 0.6245 | 0.6237 | 0.6245 | 0.7903 |
No log | 8.5333 | 128 | 0.8187 | 0.5157 | 0.8187 | 0.9048 |
No log | 8.6667 | 130 | 0.9129 | 0.4961 | 0.9129 | 0.9554 |
No log | 8.8 | 132 | 0.7596 | 0.5012 | 0.7596 | 0.8716 |
No log | 8.9333 | 134 | 0.6838 | 0.5438 | 0.6838 | 0.8269 |
No log | 9.0667 | 136 | 0.6778 | 0.5327 | 0.6778 | 0.8233 |
No log | 9.2 | 138 | 0.8229 | 0.5804 | 0.8229 | 0.9072 |
No log | 9.3333 | 140 | 0.8636 | 0.5581 | 0.8636 | 0.9293 |
No log | 9.4667 | 142 | 0.6708 | 0.5325 | 0.6708 | 0.8190 |
No log | 9.6 | 144 | 0.6294 | 0.6055 | 0.6294 | 0.7933 |
No log | 9.7333 | 146 | 0.6247 | 0.6055 | 0.6247 | 0.7904 |
No log | 9.8667 | 148 | 0.6320 | 0.6234 | 0.6320 | 0.7950 |
No log | 10.0 | 150 | 0.7898 | 0.6057 | 0.7898 | 0.8887 |
No log | 10.1333 | 152 | 0.7435 | 0.6074 | 0.7435 | 0.8623 |
No log | 10.2667 | 154 | 0.5949 | 0.6555 | 0.5949 | 0.7713 |
No log | 10.4 | 156 | 0.7074 | 0.6291 | 0.7074 | 0.8410 |
No log | 10.5333 | 158 | 0.7434 | 0.5745 | 0.7434 | 0.8622 |
No log | 10.6667 | 160 | 0.6047 | 0.6605 | 0.6047 | 0.7776 |
No log | 10.8 | 162 | 0.6206 | 0.5794 | 0.6206 | 0.7878 |
No log | 10.9333 | 164 | 0.7547 | 0.5891 | 0.7547 | 0.8688 |
No log | 11.0667 | 166 | 0.6696 | 0.6014 | 0.6696 | 0.8183 |
No log | 11.2 | 168 | 0.5641 | 0.6667 | 0.5641 | 0.7511 |
No log | 11.3333 | 170 | 0.5806 | 0.6623 | 0.5806 | 0.7620 |
No log | 11.4667 | 172 | 0.5696 | 0.6335 | 0.5696 | 0.7547 |
No log | 11.6 | 174 | 0.5697 | 0.6750 | 0.5697 | 0.7548 |
No log | 11.7333 | 176 | 0.5665 | 0.6409 | 0.5665 | 0.7527 |
No log | 11.8667 | 178 | 0.5597 | 0.6699 | 0.5597 | 0.7481 |
No log | 12.0 | 180 | 0.5728 | 0.6497 | 0.5728 | 0.7568 |
No log | 12.1333 | 182 | 0.5736 | 0.6368 | 0.5736 | 0.7573 |
No log | 12.2667 | 184 | 0.5522 | 0.6374 | 0.5522 | 0.7431 |
No log | 12.4 | 186 | 0.5843 | 0.5865 | 0.5843 | 0.7644 |
No log | 12.5333 | 188 | 0.6030 | 0.6050 | 0.6030 | 0.7765 |
No log | 12.6667 | 190 | 0.5785 | 0.5926 | 0.5785 | 0.7606 |
No log | 12.8 | 192 | 0.5797 | 0.6051 | 0.5797 | 0.7614 |
No log | 12.9333 | 194 | 0.5528 | 0.6460 | 0.5528 | 0.7435 |
No log | 13.0667 | 196 | 0.5152 | 0.7409 | 0.5152 | 0.7178 |
No log | 13.2 | 198 | 0.5531 | 0.6485 | 0.5531 | 0.7437 |
No log | 13.3333 | 200 | 0.4948 | 0.7165 | 0.4948 | 0.7034 |
No log | 13.4667 | 202 | 0.4659 | 0.7110 | 0.4659 | 0.6826 |
No log | 13.6 | 204 | 0.4707 | 0.7158 | 0.4707 | 0.6861 |
No log | 13.7333 | 206 | 0.4758 | 0.6748 | 0.4758 | 0.6898 |
No log | 13.8667 | 208 | 0.5318 | 0.6572 | 0.5318 | 0.7293 |
No log | 14.0 | 210 | 0.5964 | 0.5873 | 0.5964 | 0.7722 |
No log | 14.1333 | 212 | 0.5735 | 0.6302 | 0.5735 | 0.7573 |
No log | 14.2667 | 214 | 0.5857 | 0.6435 | 0.5857 | 0.7653 |
No log | 14.4 | 216 | 0.6045 | 0.6435 | 0.6045 | 0.7775 |
No log | 14.5333 | 218 | 0.5924 | 0.5759 | 0.5924 | 0.7696 |
No log | 14.6667 | 220 | 0.6873 | 0.5598 | 0.6873 | 0.8291 |
No log | 14.8 | 222 | 0.7047 | 0.5590 | 0.7047 | 0.8395 |
No log | 14.9333 | 224 | 0.6091 | 0.5876 | 0.6091 | 0.7805 |
No log | 15.0667 | 226 | 0.5902 | 0.5817 | 0.5902 | 0.7683 |
No log | 15.2 | 228 | 0.5756 | 0.6207 | 0.5756 | 0.7587 |
No log | 15.3333 | 230 | 0.5807 | 0.6207 | 0.5807 | 0.7620 |
No log | 15.4667 | 232 | 0.6104 | 0.6225 | 0.6104 | 0.7813 |
No log | 15.6 | 234 | 0.7471 | 0.5257 | 0.7471 | 0.8643 |
No log | 15.7333 | 236 | 0.7701 | 0.5161 | 0.7701 | 0.8776 |
No log | 15.8667 | 238 | 0.8617 | 0.4848 | 0.8617 | 0.9283 |
No log | 16.0 | 240 | 1.0436 | 0.4228 | 1.0436 | 1.0215 |
No log | 16.1333 | 242 | 0.9356 | 0.4583 | 0.9356 | 0.9673 |
No log | 16.2667 | 244 | 0.6741 | 0.5138 | 0.6741 | 0.8210 |
No log | 16.4 | 246 | 0.5975 | 0.6164 | 0.5975 | 0.7730 |
No log | 16.5333 | 248 | 0.5897 | 0.5735 | 0.5897 | 0.7680 |
No log | 16.6667 | 250 | 0.5949 | 0.5485 | 0.5949 | 0.7713 |
No log | 16.8 | 252 | 0.6029 | 0.5886 | 0.6029 | 0.7765 |
No log | 16.9333 | 254 | 0.5989 | 0.5989 | 0.5989 | 0.7739 |
No log | 17.0667 | 256 | 0.6270 | 0.6231 | 0.6270 | 0.7918 |
No log | 17.2 | 258 | 0.6411 | 0.5970 | 0.6411 | 0.8007 |
No log | 17.3333 | 260 | 0.6198 | 0.6301 | 0.6198 | 0.7873 |
No log | 17.4667 | 262 | 0.6059 | 0.5797 | 0.6059 | 0.7784 |
No log | 17.6 | 264 | 0.6213 | 0.5716 | 0.6213 | 0.7882 |
No log | 17.7333 | 266 | 0.6171 | 0.6076 | 0.6171 | 0.7855 |
No log | 17.8667 | 268 | 0.6073 | 0.5978 | 0.6073 | 0.7793 |
No log | 18.0 | 270 | 0.6023 | 0.6415 | 0.6023 | 0.7761 |
No log | 18.1333 | 272 | 0.6206 | 0.6611 | 0.6206 | 0.7878 |
No log | 18.2667 | 274 | 0.6137 | 0.6611 | 0.6137 | 0.7834 |
No log | 18.4 | 276 | 0.5801 | 0.5978 | 0.5801 | 0.7616 |
No log | 18.5333 | 278 | 0.5637 | 0.5921 | 0.5637 | 0.7508 |
No log | 18.6667 | 280 | 0.5409 | 0.5879 | 0.5409 | 0.7355 |
No log | 18.8 | 282 | 0.5098 | 0.6857 | 0.5098 | 0.7140 |
No log | 18.9333 | 284 | 0.5099 | 0.6872 | 0.5099 | 0.7141 |
No log | 19.0667 | 286 | 0.5038 | 0.6962 | 0.5038 | 0.7098 |
No log | 19.2 | 288 | 0.5042 | 0.7001 | 0.5042 | 0.7101 |
No log | 19.3333 | 290 | 0.5048 | 0.7001 | 0.5048 | 0.7105 |
No log | 19.4667 | 292 | 0.5065 | 0.6569 | 0.5065 | 0.7117 |
No log | 19.6 | 294 | 0.5093 | 0.6886 | 0.5093 | 0.7137 |
No log | 19.7333 | 296 | 0.5030 | 0.6970 | 0.5030 | 0.7092 |
No log | 19.8667 | 298 | 0.5428 | 0.5876 | 0.5428 | 0.7367 |
No log | 20.0 | 300 | 0.5609 | 0.6004 | 0.5609 | 0.7489 |
No log | 20.1333 | 302 | 0.5215 | 0.6374 | 0.5215 | 0.7221 |
No log | 20.2667 | 304 | 0.5244 | 0.6597 | 0.5244 | 0.7241 |
No log | 20.4 | 306 | 0.5346 | 0.6597 | 0.5346 | 0.7311 |
No log | 20.5333 | 308 | 0.5565 | 0.5770 | 0.5565 | 0.7460 |
No log | 20.6667 | 310 | 0.6098 | 0.5590 | 0.6098 | 0.7809 |
No log | 20.8 | 312 | 0.5980 | 0.5781 | 0.5980 | 0.7733 |
No log | 20.9333 | 314 | 0.5685 | 0.6072 | 0.5685 | 0.7540 |
No log | 21.0667 | 316 | 0.5372 | 0.6488 | 0.5372 | 0.7329 |
No log | 21.2 | 318 | 0.4858 | 0.6932 | 0.4858 | 0.6970 |
No log | 21.3333 | 320 | 0.5223 | 0.6985 | 0.5223 | 0.7227 |
No log | 21.4667 | 322 | 0.5254 | 0.6807 | 0.5254 | 0.7248 |
No log | 21.6 | 324 | 0.5388 | 0.6445 | 0.5388 | 0.7340 |
No log | 21.7333 | 326 | 0.5546 | 0.6108 | 0.5546 | 0.7447 |
No log | 21.8667 | 328 | 0.5598 | 0.5890 | 0.5598 | 0.7482 |
No log | 22.0 | 330 | 0.5542 | 0.6337 | 0.5542 | 0.7445 |
No log | 22.1333 | 332 | 0.5463 | 0.6296 | 0.5463 | 0.7391 |
No log | 22.2667 | 334 | 0.5566 | 0.6771 | 0.5566 | 0.7460 |
No log | 22.4 | 336 | 0.5623 | 0.6771 | 0.5623 | 0.7499 |
No log | 22.5333 | 338 | 0.5598 | 0.5871 | 0.5598 | 0.7482 |
No log | 22.6667 | 340 | 0.5994 | 0.5706 | 0.5994 | 0.7742 |
No log | 22.8 | 342 | 0.5938 | 0.5917 | 0.5938 | 0.7706 |
No log | 22.9333 | 344 | 0.5474 | 0.6230 | 0.5474 | 0.7399 |
No log | 23.0667 | 346 | 0.5509 | 0.6588 | 0.5509 | 0.7422 |
No log | 23.2 | 348 | 0.6188 | 0.6295 | 0.6188 | 0.7866 |
No log | 23.3333 | 350 | 0.6080 | 0.6101 | 0.6080 | 0.7798 |
No log | 23.4667 | 352 | 0.5521 | 0.6597 | 0.5521 | 0.7430 |
No log | 23.6 | 354 | 0.5831 | 0.5921 | 0.5831 | 0.7636 |
No log | 23.7333 | 356 | 0.6460 | 0.5270 | 0.6460 | 0.8038 |
No log | 23.8667 | 358 | 0.6107 | 0.5902 | 0.6107 | 0.7815 |
No log | 24.0 | 360 | 0.5522 | 0.6241 | 0.5522 | 0.7431 |
No log | 24.1333 | 362 | 0.5333 | 0.6597 | 0.5333 | 0.7303 |
No log | 24.2667 | 364 | 0.5705 | 0.5964 | 0.5705 | 0.7553 |
No log | 24.4 | 366 | 0.5663 | 0.5763 | 0.5663 | 0.7525 |
No log | 24.5333 | 368 | 0.5285 | 0.6942 | 0.5285 | 0.7270 |
No log | 24.6667 | 370 | 0.5363 | 0.6087 | 0.5363 | 0.7323 |
No log | 24.8 | 372 | 0.5395 | 0.6597 | 0.5395 | 0.7345 |
No log | 24.9333 | 374 | 0.5726 | 0.6231 | 0.5726 | 0.7567 |
No log | 25.0667 | 376 | 0.5697 | 0.6432 | 0.5697 | 0.7548 |
No log | 25.2 | 378 | 0.5590 | 0.6432 | 0.5590 | 0.7477 |
No log | 25.3333 | 380 | 0.5474 | 0.6407 | 0.5474 | 0.7399 |
No log | 25.4667 | 382 | 0.5485 | 0.6805 | 0.5485 | 0.7406 |
No log | 25.6 | 384 | 0.5434 | 0.6579 | 0.5434 | 0.7371 |
No log | 25.7333 | 386 | 0.5353 | 0.6518 | 0.5353 | 0.7316 |
No log | 25.8667 | 388 | 0.5822 | 0.6723 | 0.5822 | 0.7630 |
No log | 26.0 | 390 | 0.6098 | 0.5981 | 0.6098 | 0.7809 |
No log | 26.1333 | 392 | 0.5785 | 0.6646 | 0.5785 | 0.7606 |
No log | 26.2667 | 394 | 0.5308 | 0.7035 | 0.5308 | 0.7285 |
No log | 26.4 | 396 | 0.5123 | 0.6537 | 0.5123 | 0.7157 |
No log | 26.5333 | 398 | 0.5070 | 0.6712 | 0.5070 | 0.7120 |
No log | 26.6667 | 400 | 0.5116 | 0.6745 | 0.5116 | 0.7152 |
No log | 26.8 | 402 | 0.5524 | 0.7035 | 0.5524 | 0.7432 |
No log | 26.9333 | 404 | 0.5605 | 0.6916 | 0.5605 | 0.7487 |
No log | 27.0667 | 406 | 0.5326 | 0.6697 | 0.5326 | 0.7298 |
No log | 27.2 | 408 | 0.5157 | 0.6942 | 0.5157 | 0.7181 |
No log | 27.3333 | 410 | 0.5035 | 0.6911 | 0.5035 | 0.7096 |
No log | 27.4667 | 412 | 0.4885 | 0.6874 | 0.4885 | 0.6989 |
No log | 27.6 | 414 | 0.4815 | 0.6833 | 0.4815 | 0.6939 |
No log | 27.7333 | 416 | 0.4864 | 0.6724 | 0.4864 | 0.6974 |
No log | 27.8667 | 418 | 0.5259 | 0.6602 | 0.5259 | 0.7252 |
No log | 28.0 | 420 | 0.5544 | 0.5917 | 0.5544 | 0.7446 |
No log | 28.1333 | 422 | 0.5424 | 0.6588 | 0.5424 | 0.7365 |
No log | 28.2667 | 424 | 0.5337 | 0.6724 | 0.5337 | 0.7306 |
No log | 28.4 | 426 | 0.5421 | 0.6397 | 0.5421 | 0.7363 |
No log | 28.5333 | 428 | 0.5635 | 0.6714 | 0.5635 | 0.7507 |
No log | 28.6667 | 430 | 0.5495 | 0.6844 | 0.5495 | 0.7413 |
No log | 28.8 | 432 | 0.5285 | 0.6933 | 0.5285 | 0.7270 |
No log | 28.9333 | 434 | 0.5159 | 0.6942 | 0.5159 | 0.7183 |
No log | 29.0667 | 436 | 0.5270 | 0.6966 | 0.5270 | 0.7259 |
No log | 29.2 | 438 | 0.5365 | 0.6581 | 0.5365 | 0.7325 |
No log | 29.3333 | 440 | 0.5208 | 0.6919 | 0.5208 | 0.7216 |
No log | 29.4667 | 442 | 0.5135 | 0.6736 | 0.5135 | 0.7166 |
No log | 29.6 | 444 | 0.5396 | 0.7036 | 0.5396 | 0.7346 |
No log | 29.7333 | 446 | 0.5573 | 0.7036 | 0.5573 | 0.7465 |
No log | 29.8667 | 448 | 0.5681 | 0.6479 | 0.5681 | 0.7537 |
No log | 30.0 | 450 | 0.5468 | 0.7017 | 0.5468 | 0.7395 |
No log | 30.1333 | 452 | 0.5237 | 0.6445 | 0.5237 | 0.7237 |
No log | 30.2667 | 454 | 0.5045 | 0.6332 | 0.5045 | 0.7103 |
No log | 30.4 | 456 | 0.4901 | 0.6874 | 0.4901 | 0.7000 |
No log | 30.5333 | 458 | 0.4843 | 0.6959 | 0.4843 | 0.6959 |
No log | 30.6667 | 460 | 0.4988 | 0.6894 | 0.4988 | 0.7062 |
No log | 30.8 | 462 | 0.5173 | 0.6929 | 0.5173 | 0.7193 |
No log | 30.9333 | 464 | 0.5202 | 0.6962 | 0.5202 | 0.7212 |
No log | 31.0667 | 466 | 0.5327 | 0.6813 | 0.5327 | 0.7298 |
No log | 31.2 | 468 | 0.5662 | 0.6377 | 0.5662 | 0.7525 |
No log | 31.3333 | 470 | 0.6307 | 0.5379 | 0.6307 | 0.7942 |
No log | 31.4667 | 472 | 0.6446 | 0.5590 | 0.6446 | 0.8029 |
No log | 31.6 | 474 | 0.6295 | 0.5793 | 0.6295 | 0.7934 |
No log | 31.7333 | 476 | 0.5895 | 0.6507 | 0.5895 | 0.7678 |
No log | 31.8667 | 478 | 0.5698 | 0.6390 | 0.5698 | 0.7548 |
No log | 32.0 | 480 | 0.5623 | 0.6154 | 0.5623 | 0.7499 |
No log | 32.1333 | 482 | 0.5583 | 0.6154 | 0.5583 | 0.7472 |
No log | 32.2667 | 484 | 0.5606 | 0.6118 | 0.5606 | 0.7488 |
No log | 32.4 | 486 | 0.5618 | 0.6241 | 0.5618 | 0.7495 |
No log | 32.5333 | 488 | 0.5532 | 0.5966 | 0.5532 | 0.7438 |
No log | 32.6667 | 490 | 0.5607 | 0.6925 | 0.5607 | 0.7488 |
No log | 32.8 | 492 | 0.6099 | 0.6833 | 0.6099 | 0.7810 |
No log | 32.9333 | 494 | 0.6664 | 0.6117 | 0.6664 | 0.8163 |
No log | 33.0667 | 496 | 0.6863 | 0.6004 | 0.6863 | 0.8284 |
No log | 33.2 | 498 | 0.6442 | 0.6117 | 0.6442 | 0.8026 |
0.2662 | 33.3333 | 500 | 0.5785 | 0.6925 | 0.5785 | 0.7606 |
0.2662 | 33.4667 | 502 | 0.5582 | 0.6028 | 0.5582 | 0.7471 |
0.2662 | 33.6 | 504 | 0.5643 | 0.6006 | 0.5643 | 0.7512 |
0.2662 | 33.7333 | 506 | 0.5555 | 0.5831 | 0.5555 | 0.7453 |
0.2662 | 33.8667 | 508 | 0.5668 | 0.7043 | 0.5668 | 0.7529 |
0.2662 | 34.0 | 510 | 0.6225 | 0.6637 | 0.6225 | 0.7890 |
0.2662 | 34.1333 | 512 | 0.6818 | 0.5684 | 0.6818 | 0.8257 |
0.2662 | 34.2667 | 514 | 0.6835 | 0.5684 | 0.6835 | 0.8268 |
0.2662 | 34.4 | 516 | 0.6469 | 0.6252 | 0.6469 | 0.8043 |
0.2662 | 34.5333 | 518 | 0.5970 | 0.6711 | 0.5970 | 0.7727 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 8
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run3_AugV5_k5_task5_organization
Base model
aubmindlab/bert-base-arabertv02