ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k5_task7_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: 0.5402
- Qwk: 0.5433
- Mse: 0.5402
- Rmse: 0.7350
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 | 0.0741 | 2 | 2.6277 | -0.0593 | 2.6277 | 1.6210 |
| No log | 0.1481 | 4 | 1.3892 | 0.0990 | 1.3892 | 1.1786 |
| No log | 0.2222 | 6 | 1.1064 | -0.1408 | 1.1064 | 1.0518 |
| No log | 0.2963 | 8 | 0.8739 | 0.0490 | 0.8739 | 0.9348 |
| No log | 0.3704 | 10 | 0.8837 | 0.2032 | 0.8837 | 0.9401 |
| No log | 0.4444 | 12 | 0.7903 | 0.2662 | 0.7903 | 0.8890 |
| No log | 0.5185 | 14 | 0.7864 | 0.2913 | 0.7864 | 0.8868 |
| No log | 0.5926 | 16 | 0.7227 | 0.0846 | 0.7227 | 0.8501 |
| No log | 0.6667 | 18 | 0.7165 | 0.1277 | 0.7165 | 0.8464 |
| No log | 0.7407 | 20 | 0.7151 | 0.1550 | 0.7151 | 0.8457 |
| No log | 0.8148 | 22 | 0.7149 | 0.1744 | 0.7149 | 0.8455 |
| No log | 0.8889 | 24 | 0.8634 | 0.1673 | 0.8634 | 0.9292 |
| No log | 0.9630 | 26 | 1.1161 | 0.1746 | 1.1161 | 1.0565 |
| No log | 1.0370 | 28 | 1.1495 | 0.1484 | 1.1495 | 1.0722 |
| No log | 1.1111 | 30 | 0.8530 | 0.2163 | 0.8530 | 0.9236 |
| No log | 1.1852 | 32 | 0.6716 | 0.4124 | 0.6716 | 0.8195 |
| No log | 1.2593 | 34 | 0.6868 | 0.4044 | 0.6868 | 0.8287 |
| No log | 1.3333 | 36 | 0.7010 | 0.3612 | 0.7010 | 0.8372 |
| No log | 1.4074 | 38 | 0.7283 | 0.3515 | 0.7283 | 0.8534 |
| No log | 1.4815 | 40 | 0.6862 | 0.3664 | 0.6862 | 0.8284 |
| No log | 1.5556 | 42 | 0.6768 | 0.2947 | 0.6768 | 0.8227 |
| No log | 1.6296 | 44 | 0.7438 | 0.3071 | 0.7438 | 0.8624 |
| No log | 1.7037 | 46 | 0.7208 | 0.3388 | 0.7208 | 0.8490 |
| No log | 1.7778 | 48 | 0.6570 | 0.2113 | 0.6570 | 0.8106 |
| No log | 1.8519 | 50 | 0.6522 | 0.3599 | 0.6522 | 0.8076 |
| No log | 1.9259 | 52 | 0.6449 | 0.4139 | 0.6449 | 0.8031 |
| No log | 2.0 | 54 | 0.6572 | 0.3779 | 0.6572 | 0.8107 |
| No log | 2.0741 | 56 | 0.6868 | 0.4097 | 0.6868 | 0.8287 |
| No log | 2.1481 | 58 | 0.7810 | 0.3228 | 0.7810 | 0.8837 |
| No log | 2.2222 | 60 | 0.7055 | 0.3895 | 0.7055 | 0.8399 |
| No log | 2.2963 | 62 | 0.5579 | 0.5430 | 0.5579 | 0.7469 |
| No log | 2.3704 | 64 | 0.6987 | 0.4072 | 0.6987 | 0.8359 |
| No log | 2.4444 | 66 | 0.8802 | 0.3638 | 0.8802 | 0.9382 |
| No log | 2.5185 | 68 | 0.7972 | 0.3638 | 0.7972 | 0.8929 |
| No log | 2.5926 | 70 | 0.7591 | 0.3732 | 0.7591 | 0.8713 |
| No log | 2.6667 | 72 | 0.6457 | 0.3746 | 0.6457 | 0.8035 |
| No log | 2.7407 | 74 | 0.5806 | 0.5092 | 0.5806 | 0.7619 |
| No log | 2.8148 | 76 | 0.6592 | 0.4969 | 0.6592 | 0.8119 |
| No log | 2.8889 | 78 | 0.5866 | 0.5678 | 0.5866 | 0.7659 |
| No log | 2.9630 | 80 | 0.5446 | 0.5904 | 0.5446 | 0.7380 |
| No log | 3.0370 | 82 | 0.5158 | 0.5430 | 0.5158 | 0.7182 |
| No log | 3.1111 | 84 | 0.5157 | 0.5095 | 0.5157 | 0.7181 |
| No log | 3.1852 | 86 | 0.5374 | 0.5960 | 0.5374 | 0.7331 |
| No log | 3.2593 | 88 | 0.5980 | 0.4740 | 0.5980 | 0.7733 |
| No log | 3.3333 | 90 | 0.5224 | 0.6200 | 0.5224 | 0.7228 |
| No log | 3.4074 | 92 | 0.5221 | 0.5976 | 0.5221 | 0.7225 |
| No log | 3.4815 | 94 | 0.5394 | 0.4504 | 0.5394 | 0.7344 |
| No log | 3.5556 | 96 | 0.5232 | 0.5071 | 0.5232 | 0.7233 |
| No log | 3.6296 | 98 | 0.5574 | 0.5117 | 0.5574 | 0.7466 |
| No log | 3.7037 | 100 | 0.7482 | 0.3538 | 0.7482 | 0.8650 |
| No log | 3.7778 | 102 | 0.8760 | 0.2797 | 0.8760 | 0.9359 |
| No log | 3.8519 | 104 | 0.7079 | 0.3640 | 0.7079 | 0.8413 |
| No log | 3.9259 | 106 | 0.5404 | 0.5446 | 0.5404 | 0.7351 |
| No log | 4.0 | 108 | 0.5411 | 0.5235 | 0.5411 | 0.7356 |
| No log | 4.0741 | 110 | 0.5688 | 0.4945 | 0.5688 | 0.7542 |
| No log | 4.1481 | 112 | 0.7251 | 0.3697 | 0.7251 | 0.8515 |
| No log | 4.2222 | 114 | 0.8801 | 0.3156 | 0.8801 | 0.9382 |
| No log | 4.2963 | 116 | 0.8864 | 0.3156 | 0.8864 | 0.9415 |
| No log | 4.3704 | 118 | 0.7407 | 0.5401 | 0.7407 | 0.8606 |
| No log | 4.4444 | 120 | 0.6891 | 0.5298 | 0.6891 | 0.8301 |
| No log | 4.5185 | 122 | 0.6628 | 0.4997 | 0.6628 | 0.8141 |
| No log | 4.5926 | 124 | 0.6294 | 0.4770 | 0.6294 | 0.7933 |
| No log | 4.6667 | 126 | 0.5819 | 0.5320 | 0.5819 | 0.7628 |
| No log | 4.7407 | 128 | 0.5682 | 0.5084 | 0.5682 | 0.7538 |
| No log | 4.8148 | 130 | 0.5599 | 0.5101 | 0.5599 | 0.7483 |
| No log | 4.8889 | 132 | 0.5678 | 0.5168 | 0.5678 | 0.7535 |
| No log | 4.9630 | 134 | 0.5391 | 0.5503 | 0.5391 | 0.7342 |
| No log | 5.0370 | 136 | 0.6542 | 0.5275 | 0.6542 | 0.8088 |
| No log | 5.1111 | 138 | 0.8175 | 0.4455 | 0.8175 | 0.9041 |
| No log | 5.1852 | 140 | 0.6756 | 0.4457 | 0.6756 | 0.8220 |
| No log | 5.2593 | 142 | 0.5824 | 0.5308 | 0.5824 | 0.7632 |
| No log | 5.3333 | 144 | 0.5207 | 0.5574 | 0.5207 | 0.7216 |
| No log | 5.4074 | 146 | 0.5446 | 0.5751 | 0.5446 | 0.7380 |
| No log | 5.4815 | 148 | 0.5675 | 0.5268 | 0.5675 | 0.7533 |
| No log | 5.5556 | 150 | 0.6322 | 0.5538 | 0.6322 | 0.7951 |
| No log | 5.6296 | 152 | 0.5775 | 0.5678 | 0.5775 | 0.7599 |
| No log | 5.7037 | 154 | 0.5524 | 0.5320 | 0.5524 | 0.7433 |
| No log | 5.7778 | 156 | 0.5404 | 0.5368 | 0.5404 | 0.7351 |
| No log | 5.8519 | 158 | 0.5636 | 0.5979 | 0.5636 | 0.7507 |
| No log | 5.9259 | 160 | 0.7932 | 0.3984 | 0.7932 | 0.8906 |
| No log | 6.0 | 162 | 0.9166 | 0.3003 | 0.9166 | 0.9574 |
| No log | 6.0741 | 164 | 0.9034 | 0.3003 | 0.9034 | 0.9505 |
| No log | 6.1481 | 166 | 0.7930 | 0.4597 | 0.7930 | 0.8905 |
| No log | 6.2222 | 168 | 0.7573 | 0.4597 | 0.7573 | 0.8702 |
| No log | 6.2963 | 170 | 0.7935 | 0.4088 | 0.7935 | 0.8908 |
| No log | 6.3704 | 172 | 0.8204 | 0.3620 | 0.8204 | 0.9058 |
| No log | 6.4444 | 174 | 0.7641 | 0.4617 | 0.7641 | 0.8741 |
| No log | 6.5185 | 176 | 0.5906 | 0.5180 | 0.5906 | 0.7685 |
| No log | 6.5926 | 178 | 0.5846 | 0.5640 | 0.5846 | 0.7646 |
| No log | 6.6667 | 180 | 0.5877 | 0.5899 | 0.5877 | 0.7666 |
| No log | 6.7407 | 182 | 0.5933 | 0.5436 | 0.5933 | 0.7703 |
| No log | 6.8148 | 184 | 0.6958 | 0.4344 | 0.6958 | 0.8342 |
| No log | 6.8889 | 186 | 0.7271 | 0.4568 | 0.7271 | 0.8527 |
| No log | 6.9630 | 188 | 0.7143 | 0.4890 | 0.7143 | 0.8451 |
| No log | 7.0370 | 190 | 0.6351 | 0.5070 | 0.6351 | 0.7969 |
| No log | 7.1111 | 192 | 0.5618 | 0.5269 | 0.5618 | 0.7495 |
| No log | 7.1852 | 194 | 0.5678 | 0.5711 | 0.5678 | 0.7535 |
| No log | 7.2593 | 196 | 0.5472 | 0.5368 | 0.5472 | 0.7398 |
| No log | 7.3333 | 198 | 0.5535 | 0.5217 | 0.5535 | 0.7440 |
| No log | 7.4074 | 200 | 0.6097 | 0.5581 | 0.6097 | 0.7808 |
| No log | 7.4815 | 202 | 0.6061 | 0.5636 | 0.6061 | 0.7785 |
| No log | 7.5556 | 204 | 0.6308 | 0.5046 | 0.6308 | 0.7943 |
| No log | 7.6296 | 206 | 0.5876 | 0.5104 | 0.5876 | 0.7665 |
| No log | 7.7037 | 208 | 0.5773 | 0.4656 | 0.5773 | 0.7598 |
| No log | 7.7778 | 210 | 0.5912 | 0.4734 | 0.5912 | 0.7689 |
| No log | 7.8519 | 212 | 0.5554 | 0.4715 | 0.5554 | 0.7452 |
| No log | 7.9259 | 214 | 0.5611 | 0.5600 | 0.5611 | 0.7491 |
| No log | 8.0 | 216 | 0.5607 | 0.5600 | 0.5607 | 0.7488 |
| No log | 8.0741 | 218 | 0.5711 | 0.5600 | 0.5711 | 0.7557 |
| No log | 8.1481 | 220 | 0.6044 | 0.4406 | 0.6044 | 0.7774 |
| No log | 8.2222 | 222 | 0.6989 | 0.3783 | 0.6989 | 0.8360 |
| No log | 8.2963 | 224 | 0.6762 | 0.3546 | 0.6762 | 0.8223 |
| No log | 8.3704 | 226 | 0.5977 | 0.4466 | 0.5977 | 0.7731 |
| No log | 8.4444 | 228 | 0.5561 | 0.5361 | 0.5561 | 0.7457 |
| No log | 8.5185 | 230 | 0.5510 | 0.5698 | 0.5510 | 0.7423 |
| No log | 8.5926 | 232 | 0.5494 | 0.5304 | 0.5494 | 0.7412 |
| No log | 8.6667 | 234 | 0.5880 | 0.5379 | 0.5880 | 0.7668 |
| No log | 8.7407 | 236 | 0.5962 | 0.5379 | 0.5962 | 0.7722 |
| No log | 8.8148 | 238 | 0.5637 | 0.5446 | 0.5637 | 0.7508 |
| No log | 8.8889 | 240 | 0.5616 | 0.5446 | 0.5616 | 0.7494 |
| No log | 8.9630 | 242 | 0.5579 | 0.5446 | 0.5579 | 0.7469 |
| No log | 9.0370 | 244 | 0.5585 | 0.5446 | 0.5585 | 0.7474 |
| No log | 9.1111 | 246 | 0.5509 | 0.5831 | 0.5509 | 0.7422 |
| No log | 9.1852 | 248 | 0.5624 | 0.5092 | 0.5624 | 0.7500 |
| No log | 9.2593 | 250 | 0.5894 | 0.4931 | 0.5894 | 0.7678 |
| No log | 9.3333 | 252 | 0.5590 | 0.5212 | 0.5590 | 0.7477 |
| No log | 9.4074 | 254 | 0.5203 | 0.5656 | 0.5203 | 0.7213 |
| No log | 9.4815 | 256 | 0.5197 | 0.5656 | 0.5197 | 0.7209 |
| No log | 9.5556 | 258 | 0.5283 | 0.5319 | 0.5283 | 0.7269 |
| No log | 9.6296 | 260 | 0.6471 | 0.5543 | 0.6471 | 0.8044 |
| No log | 9.7037 | 262 | 0.7623 | 0.4045 | 0.7623 | 0.8731 |
| No log | 9.7778 | 264 | 0.6921 | 0.4545 | 0.6921 | 0.8320 |
| No log | 9.8519 | 266 | 0.6496 | 0.4484 | 0.6496 | 0.8060 |
| No log | 9.9259 | 268 | 0.5756 | 0.5048 | 0.5756 | 0.7587 |
| No log | 10.0 | 270 | 0.5332 | 0.5587 | 0.5332 | 0.7302 |
| No log | 10.0741 | 272 | 0.4961 | 0.5885 | 0.4961 | 0.7044 |
| No log | 10.1481 | 274 | 0.5068 | 0.5658 | 0.5068 | 0.7119 |
| No log | 10.2222 | 276 | 0.5079 | 0.5763 | 0.5079 | 0.7126 |
| No log | 10.2963 | 278 | 0.5039 | 0.5114 | 0.5039 | 0.7098 |
| No log | 10.3704 | 280 | 0.5204 | 0.5992 | 0.5204 | 0.7214 |
| No log | 10.4444 | 282 | 0.5751 | 0.5065 | 0.5751 | 0.7583 |
| No log | 10.5185 | 284 | 0.5724 | 0.5065 | 0.5724 | 0.7566 |
| No log | 10.5926 | 286 | 0.5461 | 0.5902 | 0.5461 | 0.7390 |
| No log | 10.6667 | 288 | 0.5401 | 0.5379 | 0.5401 | 0.7349 |
| No log | 10.7407 | 290 | 0.5599 | 0.4923 | 0.5599 | 0.7482 |
| No log | 10.8148 | 292 | 0.5885 | 0.4901 | 0.5885 | 0.7671 |
| No log | 10.8889 | 294 | 0.5898 | 0.4883 | 0.5898 | 0.7680 |
| No log | 10.9630 | 296 | 0.5979 | 0.5352 | 0.5979 | 0.7732 |
| No log | 11.0370 | 298 | 0.6137 | 0.5398 | 0.6137 | 0.7834 |
| No log | 11.1111 | 300 | 0.6456 | 0.4901 | 0.6456 | 0.8035 |
| No log | 11.1852 | 302 | 0.6163 | 0.5151 | 0.6163 | 0.7850 |
| No log | 11.2593 | 304 | 0.6103 | 0.5160 | 0.6103 | 0.7812 |
| No log | 11.3333 | 306 | 0.6078 | 0.5231 | 0.6078 | 0.7796 |
| No log | 11.4074 | 308 | 0.6069 | 0.5231 | 0.6069 | 0.7790 |
| No log | 11.4815 | 310 | 0.6043 | 0.4972 | 0.6043 | 0.7774 |
| No log | 11.5556 | 312 | 0.6061 | 0.4953 | 0.6061 | 0.7785 |
| No log | 11.6296 | 314 | 0.6082 | 0.4444 | 0.6082 | 0.7799 |
| No log | 11.7037 | 316 | 0.6134 | 0.4635 | 0.6134 | 0.7832 |
| No log | 11.7778 | 318 | 0.6053 | 0.4635 | 0.6053 | 0.7780 |
| No log | 11.8519 | 320 | 0.5998 | 0.4829 | 0.5998 | 0.7745 |
| No log | 11.9259 | 322 | 0.5920 | 0.5268 | 0.5920 | 0.7694 |
| No log | 12.0 | 324 | 0.5943 | 0.5177 | 0.5943 | 0.7709 |
| No log | 12.0741 | 326 | 0.5958 | 0.4829 | 0.5958 | 0.7719 |
| No log | 12.1481 | 328 | 0.6618 | 0.4161 | 0.6618 | 0.8135 |
| No log | 12.2222 | 330 | 0.6917 | 0.3487 | 0.6917 | 0.8317 |
| No log | 12.2963 | 332 | 0.6286 | 0.4813 | 0.6286 | 0.7928 |
| No log | 12.3704 | 334 | 0.6173 | 0.4813 | 0.6173 | 0.7857 |
| No log | 12.4444 | 336 | 0.6278 | 0.4693 | 0.6278 | 0.7923 |
| No log | 12.5185 | 338 | 0.6987 | 0.4009 | 0.6987 | 0.8359 |
| No log | 12.5926 | 340 | 0.7761 | 0.3615 | 0.7761 | 0.8809 |
| No log | 12.6667 | 342 | 0.6881 | 0.4575 | 0.6881 | 0.8295 |
| No log | 12.7407 | 344 | 0.6048 | 0.4544 | 0.6048 | 0.7777 |
| No log | 12.8148 | 346 | 0.5872 | 0.5352 | 0.5872 | 0.7663 |
| No log | 12.8889 | 348 | 0.5853 | 0.5687 | 0.5853 | 0.7651 |
| No log | 12.9630 | 350 | 0.5732 | 0.5563 | 0.5732 | 0.7571 |
| No log | 13.0370 | 352 | 0.5889 | 0.4883 | 0.5889 | 0.7674 |
| No log | 13.1111 | 354 | 0.6411 | 0.4935 | 0.6411 | 0.8007 |
| No log | 13.1852 | 356 | 0.5985 | 0.4883 | 0.5985 | 0.7737 |
| No log | 13.2593 | 358 | 0.5844 | 0.5853 | 0.5844 | 0.7645 |
| No log | 13.3333 | 360 | 0.5997 | 0.5878 | 0.5997 | 0.7744 |
| No log | 13.4074 | 362 | 0.6044 | 0.5491 | 0.6044 | 0.7774 |
| No log | 13.4815 | 364 | 0.5806 | 0.5826 | 0.5806 | 0.7620 |
| No log | 13.5556 | 366 | 0.5762 | 0.5092 | 0.5762 | 0.7591 |
| No log | 13.6296 | 368 | 0.5718 | 0.4858 | 0.5718 | 0.7562 |
| No log | 13.7037 | 370 | 0.5995 | 0.5647 | 0.5995 | 0.7742 |
| No log | 13.7778 | 372 | 0.6913 | 0.4982 | 0.6913 | 0.8315 |
| No log | 13.8519 | 374 | 0.7103 | 0.4898 | 0.7103 | 0.8428 |
| No log | 13.9259 | 376 | 0.6345 | 0.5633 | 0.6345 | 0.7965 |
| No log | 14.0 | 378 | 0.5587 | 0.4858 | 0.5587 | 0.7474 |
| No log | 14.0741 | 380 | 0.5749 | 0.5058 | 0.5749 | 0.7582 |
| No log | 14.1481 | 382 | 0.5629 | 0.5058 | 0.5629 | 0.7503 |
| No log | 14.2222 | 384 | 0.5572 | 0.5529 | 0.5572 | 0.7464 |
| No log | 14.2963 | 386 | 0.6993 | 0.5529 | 0.6993 | 0.8363 |
| No log | 14.3704 | 388 | 0.7823 | 0.5190 | 0.7823 | 0.8845 |
| No log | 14.4444 | 390 | 0.7295 | 0.5190 | 0.7295 | 0.8541 |
| No log | 14.5185 | 392 | 0.6425 | 0.5670 | 0.6425 | 0.8015 |
| No log | 14.5926 | 394 | 0.5520 | 0.5756 | 0.5520 | 0.7430 |
| No log | 14.6667 | 396 | 0.5390 | 0.5373 | 0.5390 | 0.7342 |
| No log | 14.7407 | 398 | 0.5491 | 0.5110 | 0.5491 | 0.7410 |
| No log | 14.8148 | 400 | 0.5471 | 0.4876 | 0.5471 | 0.7397 |
| No log | 14.8889 | 402 | 0.5498 | 0.4876 | 0.5498 | 0.7415 |
| No log | 14.9630 | 404 | 0.5698 | 0.4832 | 0.5698 | 0.7548 |
| No log | 15.0370 | 406 | 0.5877 | 0.4832 | 0.5877 | 0.7666 |
| No log | 15.1111 | 408 | 0.6426 | 0.4747 | 0.6426 | 0.8016 |
| No log | 15.1852 | 410 | 0.6264 | 0.4411 | 0.6264 | 0.7914 |
| No log | 15.2593 | 412 | 0.5988 | 0.3902 | 0.5988 | 0.7738 |
| No log | 15.3333 | 414 | 0.5638 | 0.4717 | 0.5638 | 0.7509 |
| No log | 15.4074 | 416 | 0.5676 | 0.4171 | 0.5676 | 0.7534 |
| No log | 15.4815 | 418 | 0.5919 | 0.3635 | 0.5919 | 0.7694 |
| No log | 15.5556 | 420 | 0.5993 | 0.3590 | 0.5993 | 0.7742 |
| No log | 15.6296 | 422 | 0.5589 | 0.4171 | 0.5589 | 0.7476 |
| No log | 15.7037 | 424 | 0.5471 | 0.5344 | 0.5471 | 0.7396 |
| No log | 15.7778 | 426 | 0.5491 | 0.5784 | 0.5491 | 0.7410 |
| No log | 15.8519 | 428 | 0.5335 | 0.5476 | 0.5335 | 0.7304 |
| No log | 15.9259 | 430 | 0.5301 | 0.5739 | 0.5301 | 0.7281 |
| No log | 16.0 | 432 | 0.5365 | 0.5767 | 0.5365 | 0.7325 |
| No log | 16.0741 | 434 | 0.5430 | 0.5767 | 0.5430 | 0.7369 |
| No log | 16.1481 | 436 | 0.5279 | 0.5563 | 0.5279 | 0.7266 |
| No log | 16.2222 | 438 | 0.5587 | 0.5594 | 0.5587 | 0.7475 |
| No log | 16.2963 | 440 | 0.6075 | 0.5353 | 0.6075 | 0.7795 |
| No log | 16.3704 | 442 | 0.5978 | 0.5577 | 0.5978 | 0.7732 |
| No log | 16.4444 | 444 | 0.5622 | 0.5567 | 0.5622 | 0.7498 |
| No log | 16.5185 | 446 | 0.5342 | 0.5042 | 0.5342 | 0.7309 |
| No log | 16.5926 | 448 | 0.5171 | 0.5446 | 0.5171 | 0.7191 |
| No log | 16.6667 | 450 | 0.5112 | 0.5446 | 0.5112 | 0.7150 |
| No log | 16.7407 | 452 | 0.5342 | 0.5995 | 0.5342 | 0.7309 |
| No log | 16.8148 | 454 | 0.6196 | 0.5659 | 0.6196 | 0.7871 |
| No log | 16.8889 | 456 | 0.7116 | 0.4684 | 0.7116 | 0.8436 |
| No log | 16.9630 | 458 | 0.6503 | 0.5140 | 0.6503 | 0.8064 |
| No log | 17.0370 | 460 | 0.5439 | 0.5800 | 0.5439 | 0.7375 |
| No log | 17.1111 | 462 | 0.5346 | 0.5554 | 0.5346 | 0.7312 |
| No log | 17.1852 | 464 | 0.6306 | 0.5184 | 0.6306 | 0.7941 |
| No log | 17.2593 | 466 | 0.6997 | 0.4222 | 0.6997 | 0.8365 |
| No log | 17.3333 | 468 | 0.6470 | 0.4429 | 0.6470 | 0.8044 |
| No log | 17.4074 | 470 | 0.5340 | 0.4979 | 0.5340 | 0.7307 |
| No log | 17.4815 | 472 | 0.5119 | 0.5584 | 0.5119 | 0.7155 |
| No log | 17.5556 | 474 | 0.5546 | 0.5166 | 0.5546 | 0.7447 |
| No log | 17.6296 | 476 | 0.5471 | 0.4875 | 0.5471 | 0.7397 |
| No log | 17.7037 | 478 | 0.5188 | 0.5267 | 0.5188 | 0.7203 |
| No log | 17.7778 | 480 | 0.5146 | 0.5208 | 0.5146 | 0.7173 |
| No log | 17.8519 | 482 | 0.5152 | 0.5745 | 0.5152 | 0.7178 |
| No log | 17.9259 | 484 | 0.5122 | 0.5745 | 0.5122 | 0.7157 |
| No log | 18.0 | 486 | 0.5184 | 0.6363 | 0.5184 | 0.7200 |
| No log | 18.0741 | 488 | 0.5249 | 0.6295 | 0.5249 | 0.7245 |
| No log | 18.1481 | 490 | 0.5433 | 0.5483 | 0.5433 | 0.7371 |
| No log | 18.2222 | 492 | 0.5256 | 0.5663 | 0.5256 | 0.7250 |
| No log | 18.2963 | 494 | 0.5159 | 0.5840 | 0.5159 | 0.7182 |
| No log | 18.3704 | 496 | 0.5193 | 0.5784 | 0.5193 | 0.7206 |
| No log | 18.4444 | 498 | 0.5171 | 0.6112 | 0.5171 | 0.7191 |
| 0.3428 | 18.5185 | 500 | 0.4948 | 0.6027 | 0.4948 | 0.7034 |
| 0.3428 | 18.5926 | 502 | 0.5319 | 0.6223 | 0.5319 | 0.7293 |
| 0.3428 | 18.6667 | 504 | 0.6160 | 0.5313 | 0.6160 | 0.7848 |
| 0.3428 | 18.7407 | 506 | 0.6514 | 0.4884 | 0.6514 | 0.8071 |
| 0.3428 | 18.8148 | 508 | 0.5712 | 0.5368 | 0.5712 | 0.7558 |
| 0.3428 | 18.8889 | 510 | 0.4869 | 0.5861 | 0.4869 | 0.6978 |
| 0.3428 | 18.9630 | 512 | 0.5402 | 0.5433 | 0.5402 | 0.7350 |
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_k5_task7_organization
Base model
aubmindlab/bert-base-arabertv02