ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k9_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: 0.4981
- Qwk: 0.5687
- Mse: 0.4981
- Rmse: 0.7058
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 | 0.0444 | 2 | 2.5702 | -0.0646 | 2.5702 | 1.6032 |
| No log | 0.0889 | 4 | 1.4284 | 0.1228 | 1.4284 | 1.1952 |
| No log | 0.1333 | 6 | 0.7223 | 0.1372 | 0.7223 | 0.8499 |
| No log | 0.1778 | 8 | 0.7626 | -0.0127 | 0.7626 | 0.8733 |
| No log | 0.2222 | 10 | 0.8532 | 0.2756 | 0.8532 | 0.9237 |
| No log | 0.2667 | 12 | 0.7514 | 0.4080 | 0.7514 | 0.8668 |
| No log | 0.3111 | 14 | 0.5717 | 0.3649 | 0.5717 | 0.7561 |
| No log | 0.3556 | 16 | 0.5107 | 0.3580 | 0.5107 | 0.7146 |
| No log | 0.4 | 18 | 0.5364 | 0.5050 | 0.5364 | 0.7324 |
| No log | 0.4444 | 20 | 0.4662 | 0.5574 | 0.4662 | 0.6828 |
| No log | 0.4889 | 22 | 0.4818 | 0.5449 | 0.4818 | 0.6941 |
| No log | 0.5333 | 24 | 0.5988 | 0.5763 | 0.5988 | 0.7738 |
| No log | 0.5778 | 26 | 0.5844 | 0.5911 | 0.5844 | 0.7645 |
| No log | 0.6222 | 28 | 0.5480 | 0.5856 | 0.5480 | 0.7402 |
| No log | 0.6667 | 30 | 0.4559 | 0.5682 | 0.4559 | 0.6752 |
| No log | 0.7111 | 32 | 0.4367 | 0.6542 | 0.4367 | 0.6608 |
| No log | 0.7556 | 34 | 0.4329 | 0.7175 | 0.4329 | 0.6580 |
| No log | 0.8 | 36 | 0.5663 | 0.5900 | 0.5663 | 0.7525 |
| No log | 0.8444 | 38 | 0.6866 | 0.5529 | 0.6866 | 0.8286 |
| No log | 0.8889 | 40 | 0.6231 | 0.5688 | 0.6231 | 0.7894 |
| No log | 0.9333 | 42 | 0.4720 | 0.7409 | 0.4720 | 0.6870 |
| No log | 0.9778 | 44 | 0.6049 | 0.6457 | 0.6049 | 0.7777 |
| No log | 1.0222 | 46 | 0.6175 | 0.6334 | 0.6175 | 0.7858 |
| No log | 1.0667 | 48 | 0.4797 | 0.7177 | 0.4797 | 0.6926 |
| No log | 1.1111 | 50 | 0.6847 | 0.4760 | 0.6847 | 0.8275 |
| No log | 1.1556 | 52 | 0.8187 | 0.4385 | 0.8187 | 0.9048 |
| No log | 1.2 | 54 | 0.6313 | 0.5234 | 0.6313 | 0.7945 |
| No log | 1.2444 | 56 | 0.4575 | 0.5888 | 0.4575 | 0.6764 |
| No log | 1.2889 | 58 | 0.6901 | 0.5402 | 0.6901 | 0.8307 |
| No log | 1.3333 | 60 | 0.6900 | 0.5364 | 0.6900 | 0.8307 |
| No log | 1.3778 | 62 | 0.5076 | 0.6025 | 0.5076 | 0.7125 |
| No log | 1.4222 | 64 | 0.4738 | 0.6118 | 0.4738 | 0.6883 |
| No log | 1.4667 | 66 | 0.4991 | 0.6620 | 0.4991 | 0.7065 |
| No log | 1.5111 | 68 | 0.5416 | 0.6303 | 0.5416 | 0.7359 |
| No log | 1.5556 | 70 | 0.4980 | 0.6280 | 0.4980 | 0.7057 |
| No log | 1.6 | 72 | 0.5653 | 0.5225 | 0.5653 | 0.7519 |
| No log | 1.6444 | 74 | 0.6272 | 0.4681 | 0.6272 | 0.7919 |
| No log | 1.6889 | 76 | 0.4715 | 0.5936 | 0.4715 | 0.6867 |
| No log | 1.7333 | 78 | 0.5121 | 0.6401 | 0.5121 | 0.7156 |
| No log | 1.7778 | 80 | 0.9030 | 0.4228 | 0.9030 | 0.9503 |
| No log | 1.8222 | 82 | 0.9652 | 0.3861 | 0.9652 | 0.9825 |
| No log | 1.8667 | 84 | 0.6222 | 0.5839 | 0.6222 | 0.7888 |
| No log | 1.9111 | 86 | 0.4302 | 0.6805 | 0.4302 | 0.6559 |
| No log | 1.9556 | 88 | 0.4503 | 0.6779 | 0.4503 | 0.6710 |
| No log | 2.0 | 90 | 0.4379 | 0.6918 | 0.4379 | 0.6617 |
| No log | 2.0444 | 92 | 0.6864 | 0.5059 | 0.6864 | 0.8285 |
| No log | 2.0889 | 94 | 1.1001 | 0.3601 | 1.1001 | 1.0489 |
| No log | 2.1333 | 96 | 1.1094 | 0.3424 | 1.1094 | 1.0533 |
| No log | 2.1778 | 98 | 0.8370 | 0.4681 | 0.8370 | 0.9149 |
| No log | 2.2222 | 100 | 0.4717 | 0.5979 | 0.4717 | 0.6868 |
| No log | 2.2667 | 102 | 0.4264 | 0.6052 | 0.4264 | 0.6530 |
| No log | 2.3111 | 104 | 0.4217 | 0.6010 | 0.4217 | 0.6494 |
| No log | 2.3556 | 106 | 0.5129 | 0.5033 | 0.5129 | 0.7162 |
| No log | 2.4 | 108 | 0.5995 | 0.4556 | 0.5995 | 0.7743 |
| No log | 2.4444 | 110 | 0.5768 | 0.4926 | 0.5768 | 0.7595 |
| No log | 2.4889 | 112 | 0.4754 | 0.6013 | 0.4754 | 0.6895 |
| No log | 2.5333 | 114 | 0.4825 | 0.5779 | 0.4825 | 0.6946 |
| No log | 2.5778 | 116 | 0.6389 | 0.5281 | 0.6389 | 0.7993 |
| No log | 2.6222 | 118 | 0.6783 | 0.5281 | 0.6783 | 0.8236 |
| No log | 2.6667 | 120 | 0.5227 | 0.5513 | 0.5227 | 0.7230 |
| No log | 2.7111 | 122 | 0.4816 | 0.5476 | 0.4816 | 0.6939 |
| No log | 2.7556 | 124 | 0.4788 | 0.5373 | 0.4788 | 0.6920 |
| No log | 2.8 | 126 | 0.4739 | 0.5304 | 0.4739 | 0.6884 |
| No log | 2.8444 | 128 | 0.4919 | 0.6007 | 0.4919 | 0.7014 |
| No log | 2.8889 | 130 | 0.5355 | 0.5983 | 0.5355 | 0.7318 |
| No log | 2.9333 | 132 | 0.5285 | 0.5592 | 0.5285 | 0.7270 |
| No log | 2.9778 | 134 | 0.5401 | 0.5127 | 0.5401 | 0.7349 |
| No log | 3.0222 | 136 | 0.6252 | 0.5219 | 0.6252 | 0.7907 |
| No log | 3.0667 | 138 | 0.6783 | 0.5147 | 0.6783 | 0.8236 |
| No log | 3.1111 | 140 | 0.5652 | 0.5626 | 0.5652 | 0.7518 |
| No log | 3.1556 | 142 | 0.5421 | 0.4813 | 0.5421 | 0.7363 |
| No log | 3.2 | 144 | 0.5366 | 0.4697 | 0.5366 | 0.7325 |
| No log | 3.2444 | 146 | 0.5319 | 0.5101 | 0.5319 | 0.7293 |
| No log | 3.2889 | 148 | 0.5067 | 0.5336 | 0.5067 | 0.7119 |
| No log | 3.3333 | 150 | 0.4942 | 0.6223 | 0.4942 | 0.7030 |
| No log | 3.3778 | 152 | 0.5532 | 0.6030 | 0.5532 | 0.7438 |
| No log | 3.4222 | 154 | 0.6095 | 0.5678 | 0.6095 | 0.7807 |
| No log | 3.4667 | 156 | 0.5514 | 0.5543 | 0.5514 | 0.7426 |
| No log | 3.5111 | 158 | 0.4657 | 0.6183 | 0.4657 | 0.6824 |
| No log | 3.5556 | 160 | 0.4899 | 0.5597 | 0.4899 | 0.6999 |
| No log | 3.6 | 162 | 0.5935 | 0.5364 | 0.5935 | 0.7704 |
| No log | 3.6444 | 164 | 0.5747 | 0.5627 | 0.5747 | 0.7581 |
| No log | 3.6889 | 166 | 0.4750 | 0.6805 | 0.4750 | 0.6892 |
| No log | 3.7333 | 168 | 0.6230 | 0.5401 | 0.6230 | 0.7893 |
| No log | 3.7778 | 170 | 0.7156 | 0.4304 | 0.7156 | 0.8459 |
| No log | 3.8222 | 172 | 0.5726 | 0.6218 | 0.5726 | 0.7567 |
| No log | 3.8667 | 174 | 0.4700 | 0.5812 | 0.4700 | 0.6856 |
| No log | 3.9111 | 176 | 0.5528 | 0.5190 | 0.5528 | 0.7435 |
| No log | 3.9556 | 178 | 0.5333 | 0.5450 | 0.5333 | 0.7302 |
| No log | 4.0 | 180 | 0.4784 | 0.5711 | 0.4784 | 0.6916 |
| No log | 4.0444 | 182 | 0.4381 | 0.6184 | 0.4381 | 0.6619 |
| No log | 4.0889 | 184 | 0.4430 | 0.6156 | 0.4430 | 0.6656 |
| No log | 4.1333 | 186 | 0.4466 | 0.5941 | 0.4466 | 0.6683 |
| No log | 4.1778 | 188 | 0.4348 | 0.6255 | 0.4348 | 0.6594 |
| No log | 4.2222 | 190 | 0.4215 | 0.6255 | 0.4215 | 0.6492 |
| No log | 4.2667 | 192 | 0.4373 | 0.6114 | 0.4373 | 0.6613 |
| No log | 4.3111 | 194 | 0.4759 | 0.6181 | 0.4759 | 0.6898 |
| No log | 4.3556 | 196 | 0.4481 | 0.6082 | 0.4481 | 0.6694 |
| No log | 4.4 | 198 | 0.4478 | 0.4828 | 0.4478 | 0.6692 |
| No log | 4.4444 | 200 | 0.5602 | 0.4644 | 0.5602 | 0.7485 |
| No log | 4.4889 | 202 | 0.5598 | 0.4728 | 0.5598 | 0.7482 |
| No log | 4.5333 | 204 | 0.4766 | 0.5349 | 0.4766 | 0.6904 |
| No log | 4.5778 | 206 | 0.4533 | 0.5521 | 0.4533 | 0.6733 |
| No log | 4.6222 | 208 | 0.4555 | 0.6269 | 0.4555 | 0.6749 |
| No log | 4.6667 | 210 | 0.4848 | 0.5706 | 0.4848 | 0.6962 |
| No log | 4.7111 | 212 | 0.5339 | 0.6218 | 0.5339 | 0.7307 |
| No log | 4.7556 | 214 | 0.5572 | 0.6218 | 0.5572 | 0.7465 |
| No log | 4.8 | 216 | 0.5612 | 0.6218 | 0.5612 | 0.7491 |
| No log | 4.8444 | 218 | 0.4985 | 0.6053 | 0.4985 | 0.7061 |
| No log | 4.8889 | 220 | 0.4785 | 0.5142 | 0.4785 | 0.6918 |
| No log | 4.9333 | 222 | 0.5064 | 0.5528 | 0.5064 | 0.7116 |
| No log | 4.9778 | 224 | 0.5086 | 0.5254 | 0.5086 | 0.7132 |
| No log | 5.0222 | 226 | 0.4894 | 0.5485 | 0.4894 | 0.6996 |
| No log | 5.0667 | 228 | 0.4714 | 0.5020 | 0.4714 | 0.6866 |
| No log | 5.1111 | 230 | 0.4903 | 0.6197 | 0.4903 | 0.7002 |
| No log | 5.1556 | 232 | 0.4999 | 0.6317 | 0.4999 | 0.7070 |
| No log | 5.2 | 234 | 0.4885 | 0.5707 | 0.4885 | 0.6989 |
| No log | 5.2444 | 236 | 0.5443 | 0.5319 | 0.5443 | 0.7377 |
| No log | 5.2889 | 238 | 0.6445 | 0.5526 | 0.6445 | 0.8028 |
| No log | 5.3333 | 240 | 0.6805 | 0.5702 | 0.6805 | 0.8249 |
| No log | 5.3778 | 242 | 0.5315 | 0.5739 | 0.5315 | 0.7291 |
| No log | 5.4222 | 244 | 0.4536 | 0.5765 | 0.4536 | 0.6735 |
| No log | 5.4667 | 246 | 0.5219 | 0.5735 | 0.5219 | 0.7224 |
| No log | 5.5111 | 248 | 0.5343 | 0.5735 | 0.5343 | 0.7310 |
| No log | 5.5556 | 250 | 0.4892 | 0.5528 | 0.4892 | 0.6994 |
| No log | 5.6 | 252 | 0.4453 | 0.6402 | 0.4453 | 0.6673 |
| No log | 5.6444 | 254 | 0.4395 | 0.6589 | 0.4395 | 0.6629 |
| No log | 5.6889 | 256 | 0.4578 | 0.6210 | 0.4578 | 0.6766 |
| No log | 5.7333 | 258 | 0.4813 | 0.5672 | 0.4813 | 0.6938 |
| No log | 5.7778 | 260 | 0.4951 | 0.5935 | 0.4951 | 0.7037 |
| No log | 5.8222 | 262 | 0.4571 | 0.6330 | 0.4571 | 0.6761 |
| No log | 5.8667 | 264 | 0.4376 | 0.6402 | 0.4376 | 0.6615 |
| No log | 5.9111 | 266 | 0.4501 | 0.6210 | 0.4501 | 0.6709 |
| No log | 5.9556 | 268 | 0.4761 | 0.5528 | 0.4761 | 0.6900 |
| No log | 6.0 | 270 | 0.4628 | 0.5733 | 0.4628 | 0.6803 |
| No log | 6.0444 | 272 | 0.4788 | 0.5855 | 0.4788 | 0.6919 |
| No log | 6.0889 | 274 | 0.5674 | 0.5595 | 0.5674 | 0.7533 |
| No log | 6.1333 | 276 | 0.6194 | 0.5543 | 0.6194 | 0.7870 |
| No log | 6.1778 | 278 | 0.5772 | 0.5749 | 0.5772 | 0.7598 |
| No log | 6.2222 | 280 | 0.5577 | 0.5331 | 0.5577 | 0.7468 |
| No log | 6.2667 | 282 | 0.4973 | 0.5135 | 0.4973 | 0.7052 |
| No log | 6.3111 | 284 | 0.4795 | 0.5883 | 0.4795 | 0.6925 |
| No log | 6.3556 | 286 | 0.5180 | 0.4292 | 0.5180 | 0.7197 |
| No log | 6.4 | 288 | 0.5339 | 0.4020 | 0.5339 | 0.7307 |
| No log | 6.4444 | 290 | 0.5078 | 0.4639 | 0.5078 | 0.7126 |
| No log | 6.4889 | 292 | 0.4862 | 0.5941 | 0.4862 | 0.6973 |
| No log | 6.5333 | 294 | 0.5148 | 0.5248 | 0.5148 | 0.7175 |
| No log | 6.5778 | 296 | 0.5249 | 0.5248 | 0.5249 | 0.7245 |
| No log | 6.6222 | 298 | 0.5060 | 0.5446 | 0.5060 | 0.7113 |
| No log | 6.6667 | 300 | 0.5253 | 0.4212 | 0.5253 | 0.7248 |
| No log | 6.7111 | 302 | 0.6489 | 0.4707 | 0.6489 | 0.8055 |
| No log | 6.7556 | 304 | 0.6484 | 0.4562 | 0.6484 | 0.8053 |
| No log | 6.8 | 306 | 0.5803 | 0.4815 | 0.5803 | 0.7618 |
| No log | 6.8444 | 308 | 0.5098 | 0.4555 | 0.5098 | 0.7140 |
| No log | 6.8889 | 310 | 0.4820 | 0.5677 | 0.4820 | 0.6942 |
| No log | 6.9333 | 312 | 0.4883 | 0.5405 | 0.4883 | 0.6988 |
| No log | 6.9778 | 314 | 0.4859 | 0.5782 | 0.4859 | 0.6971 |
| No log | 7.0222 | 316 | 0.4742 | 0.5476 | 0.4742 | 0.6886 |
| No log | 7.0667 | 318 | 0.4654 | 0.5956 | 0.4654 | 0.6822 |
| No log | 7.1111 | 320 | 0.4635 | 0.5956 | 0.4635 | 0.6808 |
| No log | 7.1556 | 322 | 0.4545 | 0.5956 | 0.4545 | 0.6742 |
| No log | 7.2 | 324 | 0.4676 | 0.5860 | 0.4676 | 0.6838 |
| No log | 7.2444 | 326 | 0.5314 | 0.5552 | 0.5314 | 0.7290 |
| No log | 7.2889 | 328 | 0.5261 | 0.5973 | 0.5261 | 0.7253 |
| No log | 7.3333 | 330 | 0.4868 | 0.6560 | 0.4868 | 0.6977 |
| No log | 7.3778 | 332 | 0.5424 | 0.5997 | 0.5424 | 0.7365 |
| No log | 7.4222 | 334 | 0.5788 | 0.5862 | 0.5788 | 0.7608 |
| No log | 7.4667 | 336 | 0.5243 | 0.5970 | 0.5243 | 0.7241 |
| No log | 7.5111 | 338 | 0.4859 | 0.6267 | 0.4859 | 0.6971 |
| No log | 7.5556 | 340 | 0.5284 | 0.5501 | 0.5284 | 0.7269 |
| No log | 7.6 | 342 | 0.5379 | 0.5272 | 0.5379 | 0.7334 |
| No log | 7.6444 | 344 | 0.5112 | 0.5362 | 0.5112 | 0.7150 |
| No log | 7.6889 | 346 | 0.4948 | 0.4463 | 0.4948 | 0.7034 |
| No log | 7.7333 | 348 | 0.4912 | 0.4839 | 0.4912 | 0.7009 |
| No log | 7.7778 | 350 | 0.4940 | 0.5302 | 0.4940 | 0.7028 |
| No log | 7.8222 | 352 | 0.4965 | 0.5523 | 0.4965 | 0.7046 |
| No log | 7.8667 | 354 | 0.5027 | 0.6383 | 0.5027 | 0.7090 |
| No log | 7.9111 | 356 | 0.4937 | 0.6009 | 0.4937 | 0.7026 |
| No log | 7.9556 | 358 | 0.4733 | 0.5784 | 0.4733 | 0.6880 |
| No log | 8.0 | 360 | 0.4589 | 0.5784 | 0.4589 | 0.6774 |
| No log | 8.0444 | 362 | 0.4524 | 0.6078 | 0.4524 | 0.6726 |
| No log | 8.0889 | 364 | 0.4519 | 0.5574 | 0.4519 | 0.6723 |
| No log | 8.1333 | 366 | 0.4536 | 0.5662 | 0.4536 | 0.6735 |
| No log | 8.1778 | 368 | 0.4754 | 0.6771 | 0.4754 | 0.6895 |
| No log | 8.2222 | 370 | 0.4987 | 0.6503 | 0.4987 | 0.7062 |
| No log | 8.2667 | 372 | 0.5169 | 0.5438 | 0.5169 | 0.7190 |
| No log | 8.3111 | 374 | 0.5047 | 0.5702 | 0.5047 | 0.7104 |
| No log | 8.3556 | 376 | 0.4916 | 0.5042 | 0.4916 | 0.7011 |
| No log | 8.4 | 378 | 0.4975 | 0.5665 | 0.4975 | 0.7053 |
| No log | 8.4444 | 380 | 0.5019 | 0.5472 | 0.5019 | 0.7084 |
| No log | 8.4889 | 382 | 0.4935 | 0.4634 | 0.4935 | 0.7025 |
| No log | 8.5333 | 384 | 0.4907 | 0.4126 | 0.4907 | 0.7005 |
| No log | 8.5778 | 386 | 0.4848 | 0.4384 | 0.4848 | 0.6963 |
| No log | 8.6222 | 388 | 0.4837 | 0.4569 | 0.4837 | 0.6955 |
| No log | 8.6667 | 390 | 0.4717 | 0.5248 | 0.4717 | 0.6868 |
| No log | 8.7111 | 392 | 0.4683 | 0.5899 | 0.4683 | 0.6843 |
| No log | 8.7556 | 394 | 0.4999 | 0.5723 | 0.4999 | 0.7070 |
| No log | 8.8 | 396 | 0.4946 | 0.5593 | 0.4946 | 0.7033 |
| No log | 8.8444 | 398 | 0.4630 | 0.5995 | 0.4630 | 0.6804 |
| No log | 8.8889 | 400 | 0.4641 | 0.6101 | 0.4641 | 0.6813 |
| No log | 8.9333 | 402 | 0.5386 | 0.5178 | 0.5386 | 0.7339 |
| No log | 8.9778 | 404 | 0.5746 | 0.5474 | 0.5746 | 0.7580 |
| No log | 9.0222 | 406 | 0.5376 | 0.5400 | 0.5376 | 0.7332 |
| No log | 9.0667 | 408 | 0.4880 | 0.5495 | 0.4880 | 0.6986 |
| No log | 9.1111 | 410 | 0.4771 | 0.5831 | 0.4771 | 0.6907 |
| No log | 9.1556 | 412 | 0.4958 | 0.4681 | 0.4958 | 0.7041 |
| No log | 9.2 | 414 | 0.5375 | 0.5104 | 0.5375 | 0.7331 |
| No log | 9.2444 | 416 | 0.5618 | 0.4929 | 0.5618 | 0.7495 |
| No log | 9.2889 | 418 | 0.5285 | 0.5098 | 0.5285 | 0.7270 |
| No log | 9.3333 | 420 | 0.4879 | 0.6142 | 0.4879 | 0.6985 |
| No log | 9.3778 | 422 | 0.4732 | 0.6142 | 0.4732 | 0.6879 |
| No log | 9.4222 | 424 | 0.4661 | 0.6267 | 0.4661 | 0.6827 |
| No log | 9.4667 | 426 | 0.4663 | 0.6267 | 0.4663 | 0.6828 |
| No log | 9.5111 | 428 | 0.4705 | 0.5782 | 0.4705 | 0.6859 |
| No log | 9.5556 | 430 | 0.4784 | 0.5687 | 0.4784 | 0.6916 |
| No log | 9.6 | 432 | 0.4787 | 0.5831 | 0.4787 | 0.6919 |
| No log | 9.6444 | 434 | 0.4909 | 0.5472 | 0.4909 | 0.7006 |
| No log | 9.6889 | 436 | 0.5017 | 0.5232 | 0.5017 | 0.7083 |
| No log | 9.7333 | 438 | 0.4931 | 0.5472 | 0.4931 | 0.7022 |
| No log | 9.7778 | 440 | 0.4881 | 0.6111 | 0.4881 | 0.6987 |
| No log | 9.8222 | 442 | 0.4717 | 0.6542 | 0.4717 | 0.6868 |
| No log | 9.8667 | 444 | 0.4601 | 0.6655 | 0.4601 | 0.6783 |
| No log | 9.9111 | 446 | 0.4521 | 0.6566 | 0.4521 | 0.6724 |
| No log | 9.9556 | 448 | 0.4505 | 0.6377 | 0.4505 | 0.6712 |
| No log | 10.0 | 450 | 0.4467 | 0.6377 | 0.4467 | 0.6684 |
| No log | 10.0444 | 452 | 0.4500 | 0.6292 | 0.4500 | 0.6708 |
| No log | 10.0889 | 454 | 0.4669 | 0.5956 | 0.4669 | 0.6833 |
| No log | 10.1333 | 456 | 0.4596 | 0.6491 | 0.4596 | 0.6779 |
| No log | 10.1778 | 458 | 0.4576 | 0.5915 | 0.4576 | 0.6765 |
| No log | 10.2222 | 460 | 0.4811 | 0.5956 | 0.4811 | 0.6936 |
| No log | 10.2667 | 462 | 0.5333 | 0.5706 | 0.5333 | 0.7303 |
| No log | 10.3111 | 464 | 0.5333 | 0.5368 | 0.5333 | 0.7303 |
| No log | 10.3556 | 466 | 0.5042 | 0.5422 | 0.5042 | 0.7101 |
| No log | 10.4 | 468 | 0.4937 | 0.5853 | 0.4937 | 0.7026 |
| No log | 10.4444 | 470 | 0.5725 | 0.5473 | 0.5725 | 0.7566 |
| No log | 10.4889 | 472 | 0.6722 | 0.5278 | 0.6722 | 0.8199 |
| No log | 10.5333 | 474 | 0.6953 | 0.5278 | 0.6953 | 0.8338 |
| No log | 10.5778 | 476 | 0.6337 | 0.4491 | 0.6337 | 0.7961 |
| No log | 10.6222 | 478 | 0.5376 | 0.4020 | 0.5376 | 0.7332 |
| No log | 10.6667 | 480 | 0.4645 | 0.5379 | 0.4645 | 0.6815 |
| No log | 10.7111 | 482 | 0.4689 | 0.5512 | 0.4689 | 0.6848 |
| No log | 10.7556 | 484 | 0.4785 | 0.5733 | 0.4785 | 0.6918 |
| No log | 10.8 | 486 | 0.4762 | 0.6505 | 0.4762 | 0.6901 |
| No log | 10.8444 | 488 | 0.4750 | 0.6329 | 0.4750 | 0.6892 |
| No log | 10.8889 | 490 | 0.4778 | 0.5765 | 0.4778 | 0.6912 |
| No log | 10.9333 | 492 | 0.5255 | 0.5299 | 0.5255 | 0.7249 |
| No log | 10.9778 | 494 | 0.5395 | 0.5112 | 0.5395 | 0.7345 |
| No log | 11.0222 | 496 | 0.5033 | 0.5368 | 0.5033 | 0.7094 |
| No log | 11.0667 | 498 | 0.4686 | 0.6007 | 0.4686 | 0.6846 |
| 0.3077 | 11.1111 | 500 | 0.4648 | 0.5979 | 0.4648 | 0.6818 |
| 0.3077 | 11.1556 | 502 | 0.4635 | 0.5846 | 0.4635 | 0.6808 |
| 0.3077 | 11.2 | 504 | 0.4621 | 0.5846 | 0.4621 | 0.6798 |
| 0.3077 | 11.2444 | 506 | 0.4646 | 0.6060 | 0.4646 | 0.6816 |
| 0.3077 | 11.2889 | 508 | 0.4711 | 0.6060 | 0.4711 | 0.6864 |
| 0.3077 | 11.3333 | 510 | 0.4769 | 0.5979 | 0.4769 | 0.6906 |
| 0.3077 | 11.3778 | 512 | 0.4881 | 0.6105 | 0.4881 | 0.6987 |
| 0.3077 | 11.4222 | 514 | 0.4984 | 0.6105 | 0.4984 | 0.7060 |
| 0.3077 | 11.4667 | 516 | 0.4947 | 0.5979 | 0.4947 | 0.7034 |
| 0.3077 | 11.5111 | 518 | 0.4968 | 0.5533 | 0.4968 | 0.7048 |
| 0.3077 | 11.5556 | 520 | 0.4952 | 0.5609 | 0.4952 | 0.7037 |
| 0.3077 | 11.6 | 522 | 0.4946 | 0.5609 | 0.4946 | 0.7033 |
| 0.3077 | 11.6444 | 524 | 0.4981 | 0.5687 | 0.4981 | 0.7058 |
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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k9_task7_organization
Base model
aubmindlab/bert-base-arabertv02