ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k4_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: 0.5694
- Qwk: 0.5423
- Mse: 0.5694
- Rmse: 0.7546
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 | 0.125 | 2 | 2.6243 | -0.0788 | 2.6243 | 1.6200 |
| No log | 0.25 | 4 | 1.3092 | 0.1234 | 1.3092 | 1.1442 |
| No log | 0.375 | 6 | 0.7322 | 0.1372 | 0.7322 | 0.8557 |
| No log | 0.5 | 8 | 0.6718 | 0.2181 | 0.6718 | 0.8196 |
| No log | 0.625 | 10 | 0.6131 | 0.3123 | 0.6131 | 0.7830 |
| No log | 0.75 | 12 | 0.7630 | 0.3547 | 0.7630 | 0.8735 |
| No log | 0.875 | 14 | 0.8550 | 0.3094 | 0.8550 | 0.9247 |
| No log | 1.0 | 16 | 0.7916 | 0.3719 | 0.7916 | 0.8897 |
| No log | 1.125 | 18 | 0.6373 | 0.3156 | 0.6373 | 0.7983 |
| No log | 1.25 | 20 | 0.5708 | 0.3499 | 0.5708 | 0.7555 |
| No log | 1.375 | 22 | 0.5692 | 0.3416 | 0.5692 | 0.7545 |
| No log | 1.5 | 24 | 0.6705 | 0.3187 | 0.6705 | 0.8188 |
| No log | 1.625 | 26 | 0.7776 | 0.3620 | 0.7776 | 0.8818 |
| No log | 1.75 | 28 | 0.8041 | 0.3802 | 0.8041 | 0.8967 |
| No log | 1.875 | 30 | 0.7037 | 0.3187 | 0.7037 | 0.8389 |
| No log | 2.0 | 32 | 0.6011 | 0.3137 | 0.6011 | 0.7753 |
| No log | 2.125 | 34 | 0.5754 | 0.3477 | 0.5754 | 0.7585 |
| No log | 2.25 | 36 | 0.5489 | 0.4322 | 0.5489 | 0.7409 |
| No log | 2.375 | 38 | 0.6412 | 0.4814 | 0.6412 | 0.8008 |
| No log | 2.5 | 40 | 0.8703 | 0.4045 | 0.8703 | 0.9329 |
| No log | 2.625 | 42 | 0.8144 | 0.4240 | 0.8144 | 0.9024 |
| No log | 2.75 | 44 | 0.6370 | 0.5351 | 0.6370 | 0.7981 |
| No log | 2.875 | 46 | 0.6117 | 0.4946 | 0.6117 | 0.7821 |
| No log | 3.0 | 48 | 0.5920 | 0.4946 | 0.5920 | 0.7694 |
| No log | 3.125 | 50 | 0.4819 | 0.5267 | 0.4819 | 0.6942 |
| No log | 3.25 | 52 | 0.4881 | 0.5250 | 0.4881 | 0.6986 |
| No log | 3.375 | 54 | 0.6003 | 0.5220 | 0.6003 | 0.7748 |
| No log | 3.5 | 56 | 0.6443 | 0.5421 | 0.6443 | 0.8027 |
| No log | 3.625 | 58 | 0.5708 | 0.5110 | 0.5708 | 0.7555 |
| No log | 3.75 | 60 | 0.5287 | 0.5213 | 0.5287 | 0.7271 |
| No log | 3.875 | 62 | 0.5231 | 0.5671 | 0.5231 | 0.7233 |
| No log | 4.0 | 64 | 0.5006 | 0.5687 | 0.5006 | 0.7076 |
| No log | 4.125 | 66 | 0.5817 | 0.5247 | 0.5817 | 0.7627 |
| No log | 4.25 | 68 | 0.9862 | 0.2679 | 0.9862 | 0.9931 |
| No log | 4.375 | 70 | 0.9474 | 0.2975 | 0.9474 | 0.9733 |
| No log | 4.5 | 72 | 0.5427 | 0.4892 | 0.5427 | 0.7367 |
| No log | 4.625 | 74 | 0.4537 | 0.6024 | 0.4537 | 0.6735 |
| No log | 4.75 | 76 | 0.4542 | 0.6667 | 0.4542 | 0.6740 |
| No log | 4.875 | 78 | 0.7711 | 0.5249 | 0.7711 | 0.8781 |
| No log | 5.0 | 80 | 1.0714 | 0.2147 | 1.0714 | 1.0351 |
| No log | 5.125 | 82 | 0.9356 | 0.3330 | 0.9356 | 0.9673 |
| No log | 5.25 | 84 | 0.5822 | 0.5065 | 0.5822 | 0.7630 |
| No log | 5.375 | 86 | 0.4954 | 0.5758 | 0.4954 | 0.7038 |
| No log | 5.5 | 88 | 0.5011 | 0.5553 | 0.5011 | 0.7079 |
| No log | 5.625 | 90 | 0.4699 | 0.5662 | 0.4699 | 0.6855 |
| No log | 5.75 | 92 | 0.5552 | 0.5095 | 0.5552 | 0.7451 |
| No log | 5.875 | 94 | 0.5710 | 0.5328 | 0.5710 | 0.7556 |
| No log | 6.0 | 96 | 0.6294 | 0.5464 | 0.6294 | 0.7933 |
| No log | 6.125 | 98 | 0.5992 | 0.5643 | 0.5992 | 0.7741 |
| No log | 6.25 | 100 | 0.5407 | 0.6026 | 0.5407 | 0.7353 |
| No log | 6.375 | 102 | 0.5785 | 0.5943 | 0.5785 | 0.7606 |
| No log | 6.5 | 104 | 0.5862 | 0.5675 | 0.5862 | 0.7657 |
| No log | 6.625 | 106 | 0.4416 | 0.6280 | 0.4416 | 0.6645 |
| No log | 6.75 | 108 | 0.4067 | 0.6643 | 0.4067 | 0.6377 |
| No log | 6.875 | 110 | 0.4188 | 0.6830 | 0.4188 | 0.6471 |
| No log | 7.0 | 112 | 0.4917 | 0.5738 | 0.4917 | 0.7012 |
| No log | 7.125 | 114 | 0.5166 | 0.5767 | 0.5166 | 0.7188 |
| No log | 7.25 | 116 | 0.4677 | 0.6275 | 0.4677 | 0.6839 |
| No log | 7.375 | 118 | 0.4720 | 0.6786 | 0.4720 | 0.6870 |
| No log | 7.5 | 120 | 0.4719 | 0.6052 | 0.4719 | 0.6869 |
| No log | 7.625 | 122 | 0.4731 | 0.5231 | 0.4731 | 0.6878 |
| No log | 7.75 | 124 | 0.4637 | 0.4991 | 0.4637 | 0.6809 |
| No log | 7.875 | 126 | 0.4820 | 0.5171 | 0.4820 | 0.6943 |
| No log | 8.0 | 128 | 0.4412 | 0.6242 | 0.4412 | 0.6642 |
| No log | 8.125 | 130 | 0.4490 | 0.5812 | 0.4490 | 0.6701 |
| No log | 8.25 | 132 | 0.5509 | 0.5230 | 0.5509 | 0.7422 |
| No log | 8.375 | 134 | 0.6525 | 0.5034 | 0.6525 | 0.8078 |
| No log | 8.5 | 136 | 0.6134 | 0.5408 | 0.6134 | 0.7832 |
| No log | 8.625 | 138 | 0.4974 | 0.6148 | 0.4974 | 0.7053 |
| No log | 8.75 | 140 | 0.4917 | 0.6867 | 0.4917 | 0.7012 |
| No log | 8.875 | 142 | 0.4843 | 0.6198 | 0.4843 | 0.6959 |
| No log | 9.0 | 144 | 0.5154 | 0.5452 | 0.5154 | 0.7179 |
| No log | 9.125 | 146 | 0.5193 | 0.5230 | 0.5193 | 0.7206 |
| No log | 9.25 | 148 | 0.4611 | 0.5658 | 0.4611 | 0.6790 |
| No log | 9.375 | 150 | 0.4450 | 0.5782 | 0.4450 | 0.6671 |
| No log | 9.5 | 152 | 0.4608 | 0.5836 | 0.4608 | 0.6788 |
| No log | 9.625 | 154 | 0.4765 | 0.6286 | 0.4765 | 0.6903 |
| No log | 9.75 | 156 | 0.4280 | 0.6942 | 0.4280 | 0.6542 |
| No log | 9.875 | 158 | 0.6419 | 0.4669 | 0.6419 | 0.8012 |
| No log | 10.0 | 160 | 0.9024 | 0.3424 | 0.9024 | 0.9500 |
| No log | 10.125 | 162 | 0.7381 | 0.5050 | 0.7381 | 0.8591 |
| No log | 10.25 | 164 | 0.4433 | 0.6434 | 0.4433 | 0.6658 |
| No log | 10.375 | 166 | 0.5372 | 0.5904 | 0.5372 | 0.7329 |
| No log | 10.5 | 168 | 0.5383 | 0.5264 | 0.5383 | 0.7337 |
| No log | 10.625 | 170 | 0.4290 | 0.6745 | 0.4290 | 0.6550 |
| No log | 10.75 | 172 | 0.5232 | 0.4795 | 0.5232 | 0.7233 |
| No log | 10.875 | 174 | 0.6850 | 0.3917 | 0.6850 | 0.8277 |
| No log | 11.0 | 176 | 0.6465 | 0.4193 | 0.6465 | 0.8041 |
| No log | 11.125 | 178 | 0.4964 | 0.5461 | 0.4964 | 0.7045 |
| No log | 11.25 | 180 | 0.4692 | 0.5675 | 0.4692 | 0.6849 |
| No log | 11.375 | 182 | 0.4977 | 0.4703 | 0.4977 | 0.7055 |
| No log | 11.5 | 184 | 0.5173 | 0.5056 | 0.5173 | 0.7192 |
| No log | 11.625 | 186 | 0.4882 | 0.6198 | 0.4882 | 0.6987 |
| No log | 11.75 | 188 | 0.4913 | 0.6298 | 0.4913 | 0.7009 |
| No log | 11.875 | 190 | 0.4752 | 0.6108 | 0.4752 | 0.6893 |
| No log | 12.0 | 192 | 0.5152 | 0.6311 | 0.5152 | 0.7178 |
| No log | 12.125 | 194 | 0.5366 | 0.6132 | 0.5366 | 0.7325 |
| No log | 12.25 | 196 | 0.4757 | 0.6423 | 0.4757 | 0.6897 |
| No log | 12.375 | 198 | 0.4540 | 0.5707 | 0.4540 | 0.6738 |
| No log | 12.5 | 200 | 0.4820 | 0.6169 | 0.4820 | 0.6942 |
| No log | 12.625 | 202 | 0.4846 | 0.5657 | 0.4846 | 0.6962 |
| No log | 12.75 | 204 | 0.4543 | 0.5246 | 0.4543 | 0.6740 |
| No log | 12.875 | 206 | 0.4602 | 0.5343 | 0.4602 | 0.6784 |
| No log | 13.0 | 208 | 0.4743 | 0.5343 | 0.4743 | 0.6887 |
| No log | 13.125 | 210 | 0.4838 | 0.5397 | 0.4838 | 0.6955 |
| No log | 13.25 | 212 | 0.4796 | 0.5983 | 0.4796 | 0.6925 |
| No log | 13.375 | 214 | 0.5246 | 0.6137 | 0.5246 | 0.7243 |
| No log | 13.5 | 216 | 0.4969 | 0.5983 | 0.4969 | 0.7049 |
| No log | 13.625 | 218 | 0.5287 | 0.5661 | 0.5287 | 0.7271 |
| No log | 13.75 | 220 | 0.6631 | 0.5034 | 0.6631 | 0.8143 |
| No log | 13.875 | 222 | 0.6399 | 0.5093 | 0.6399 | 0.7999 |
| No log | 14.0 | 224 | 0.5031 | 0.5510 | 0.5031 | 0.7093 |
| No log | 14.125 | 226 | 0.4612 | 0.6417 | 0.4612 | 0.6792 |
| No log | 14.25 | 228 | 0.4625 | 0.6417 | 0.4625 | 0.6801 |
| No log | 14.375 | 230 | 0.4754 | 0.5343 | 0.4754 | 0.6895 |
| No log | 14.5 | 232 | 0.5481 | 0.5449 | 0.5481 | 0.7403 |
| No log | 14.625 | 234 | 0.5297 | 0.5356 | 0.5297 | 0.7278 |
| No log | 14.75 | 236 | 0.4771 | 0.5475 | 0.4771 | 0.6907 |
| No log | 14.875 | 238 | 0.4839 | 0.5397 | 0.4839 | 0.6956 |
| No log | 15.0 | 240 | 0.5089 | 0.5127 | 0.5089 | 0.7134 |
| No log | 15.125 | 242 | 0.4931 | 0.5178 | 0.4931 | 0.7022 |
| No log | 15.25 | 244 | 0.5470 | 0.4875 | 0.5470 | 0.7396 |
| No log | 15.375 | 246 | 0.6549 | 0.5251 | 0.6549 | 0.8093 |
| No log | 15.5 | 248 | 0.5759 | 0.4997 | 0.5759 | 0.7589 |
| No log | 15.625 | 250 | 0.5196 | 0.4832 | 0.5196 | 0.7208 |
| No log | 15.75 | 252 | 0.5673 | 0.5078 | 0.5673 | 0.7532 |
| No log | 15.875 | 254 | 0.6007 | 0.5095 | 0.6007 | 0.7751 |
| No log | 16.0 | 256 | 0.5218 | 0.5117 | 0.5218 | 0.7224 |
| No log | 16.125 | 258 | 0.4885 | 0.4774 | 0.4885 | 0.6990 |
| No log | 16.25 | 260 | 0.4865 | 0.4774 | 0.4865 | 0.6975 |
| No log | 16.375 | 262 | 0.4906 | 0.5085 | 0.4906 | 0.7005 |
| No log | 16.5 | 264 | 0.4801 | 0.5171 | 0.4801 | 0.6929 |
| No log | 16.625 | 266 | 0.4761 | 0.5141 | 0.4761 | 0.6900 |
| No log | 16.75 | 268 | 0.5018 | 0.5957 | 0.5018 | 0.7084 |
| No log | 16.875 | 270 | 0.4842 | 0.6251 | 0.4842 | 0.6958 |
| No log | 17.0 | 272 | 0.4567 | 0.5768 | 0.4567 | 0.6758 |
| No log | 17.125 | 274 | 0.5166 | 0.5348 | 0.5166 | 0.7188 |
| No log | 17.25 | 276 | 0.5804 | 0.5393 | 0.5804 | 0.7618 |
| No log | 17.375 | 278 | 0.5198 | 0.4931 | 0.5198 | 0.7210 |
| No log | 17.5 | 280 | 0.4617 | 0.5930 | 0.4617 | 0.6795 |
| No log | 17.625 | 282 | 0.4620 | 0.5784 | 0.4620 | 0.6797 |
| No log | 17.75 | 284 | 0.4564 | 0.6017 | 0.4564 | 0.6756 |
| No log | 17.875 | 286 | 0.5135 | 0.5299 | 0.5135 | 0.7166 |
| No log | 18.0 | 288 | 0.6467 | 0.5153 | 0.6467 | 0.8042 |
| No log | 18.125 | 290 | 0.6914 | 0.4959 | 0.6914 | 0.8315 |
| No log | 18.25 | 292 | 0.5798 | 0.5178 | 0.5798 | 0.7614 |
| No log | 18.375 | 294 | 0.4937 | 0.5010 | 0.4937 | 0.7027 |
| No log | 18.5 | 296 | 0.4831 | 0.5085 | 0.4831 | 0.6950 |
| No log | 18.625 | 298 | 0.4758 | 0.5556 | 0.4758 | 0.6898 |
| No log | 18.75 | 300 | 0.4865 | 0.4960 | 0.4865 | 0.6975 |
| No log | 18.875 | 302 | 0.4799 | 0.5702 | 0.4799 | 0.6927 |
| No log | 19.0 | 304 | 0.4717 | 0.5722 | 0.4717 | 0.6868 |
| No log | 19.125 | 306 | 0.4758 | 0.5663 | 0.4758 | 0.6898 |
| No log | 19.25 | 308 | 0.4839 | 0.5283 | 0.4839 | 0.6957 |
| No log | 19.375 | 310 | 0.4766 | 0.5765 | 0.4766 | 0.6903 |
| No log | 19.5 | 312 | 0.4702 | 0.5926 | 0.4702 | 0.6857 |
| No log | 19.625 | 314 | 0.4732 | 0.5718 | 0.4732 | 0.6879 |
| No log | 19.75 | 316 | 0.4852 | 0.6146 | 0.4852 | 0.6966 |
| No log | 19.875 | 318 | 0.5330 | 0.5630 | 0.5330 | 0.7301 |
| No log | 20.0 | 320 | 0.5463 | 0.5630 | 0.5463 | 0.7391 |
| No log | 20.125 | 322 | 0.5287 | 0.6123 | 0.5287 | 0.7271 |
| No log | 20.25 | 324 | 0.5081 | 0.6158 | 0.5081 | 0.7128 |
| No log | 20.375 | 326 | 0.5341 | 0.5696 | 0.5341 | 0.7308 |
| No log | 20.5 | 328 | 0.5502 | 0.5710 | 0.5502 | 0.7417 |
| No log | 20.625 | 330 | 0.5146 | 0.5513 | 0.5146 | 0.7174 |
| No log | 20.75 | 332 | 0.4866 | 0.5065 | 0.4866 | 0.6976 |
| No log | 20.875 | 334 | 0.4671 | 0.4960 | 0.4671 | 0.6835 |
| No log | 21.0 | 336 | 0.4570 | 0.5046 | 0.4570 | 0.6760 |
| No log | 21.125 | 338 | 0.5133 | 0.5015 | 0.5133 | 0.7165 |
| No log | 21.25 | 340 | 0.5977 | 0.5489 | 0.5977 | 0.7731 |
| No log | 21.375 | 342 | 0.6127 | 0.5169 | 0.6127 | 0.7828 |
| No log | 21.5 | 344 | 0.5085 | 0.4997 | 0.5085 | 0.7131 |
| No log | 21.625 | 346 | 0.4369 | 0.6643 | 0.4369 | 0.6610 |
| No log | 21.75 | 348 | 0.4785 | 0.6063 | 0.4785 | 0.6917 |
| No log | 21.875 | 350 | 0.4768 | 0.6063 | 0.4768 | 0.6905 |
| No log | 22.0 | 352 | 0.4395 | 0.6736 | 0.4395 | 0.6630 |
| No log | 22.125 | 354 | 0.4665 | 0.5065 | 0.4665 | 0.6830 |
| No log | 22.25 | 356 | 0.5254 | 0.5735 | 0.5254 | 0.7248 |
| No log | 22.375 | 358 | 0.4974 | 0.5455 | 0.4974 | 0.7052 |
| No log | 22.5 | 360 | 0.4478 | 0.6170 | 0.4478 | 0.6692 |
| No log | 22.625 | 362 | 0.5409 | 0.6267 | 0.5409 | 0.7355 |
| No log | 22.75 | 364 | 0.6670 | 0.6103 | 0.6670 | 0.8167 |
| No log | 22.875 | 366 | 0.6418 | 0.6275 | 0.6418 | 0.8011 |
| No log | 23.0 | 368 | 0.5289 | 0.6231 | 0.5289 | 0.7273 |
| No log | 23.125 | 370 | 0.5128 | 0.5151 | 0.5128 | 0.7161 |
| No log | 23.25 | 372 | 0.5484 | 0.5552 | 0.5484 | 0.7405 |
| No log | 23.375 | 374 | 0.5561 | 0.5595 | 0.5561 | 0.7457 |
| No log | 23.5 | 376 | 0.5006 | 0.5368 | 0.5006 | 0.7075 |
| No log | 23.625 | 378 | 0.4666 | 0.5985 | 0.4666 | 0.6831 |
| No log | 23.75 | 380 | 0.4729 | 0.6083 | 0.4729 | 0.6877 |
| No log | 23.875 | 382 | 0.4812 | 0.6100 | 0.4812 | 0.6937 |
| No log | 24.0 | 384 | 0.4713 | 0.5783 | 0.4713 | 0.6865 |
| No log | 24.125 | 386 | 0.5132 | 0.5513 | 0.5132 | 0.7164 |
| No log | 24.25 | 388 | 0.5934 | 0.5343 | 0.5934 | 0.7703 |
| No log | 24.375 | 390 | 0.5788 | 0.5266 | 0.5788 | 0.7608 |
| No log | 24.5 | 392 | 0.5079 | 0.5457 | 0.5079 | 0.7126 |
| No log | 24.625 | 394 | 0.4859 | 0.4913 | 0.4859 | 0.6971 |
| No log | 24.75 | 396 | 0.4914 | 0.4694 | 0.4914 | 0.7010 |
| No log | 24.875 | 398 | 0.4741 | 0.4958 | 0.4741 | 0.6886 |
| No log | 25.0 | 400 | 0.4631 | 0.5010 | 0.4631 | 0.6805 |
| No log | 25.125 | 402 | 0.4631 | 0.5010 | 0.4631 | 0.6805 |
| No log | 25.25 | 404 | 0.4582 | 0.5079 | 0.4582 | 0.6769 |
| No log | 25.375 | 406 | 0.4626 | 0.5168 | 0.4626 | 0.6801 |
| No log | 25.5 | 408 | 0.4740 | 0.5159 | 0.4740 | 0.6885 |
| No log | 25.625 | 410 | 0.4742 | 0.5039 | 0.4742 | 0.6886 |
| No log | 25.75 | 412 | 0.4939 | 0.5373 | 0.4939 | 0.7028 |
| No log | 25.875 | 414 | 0.4977 | 0.5560 | 0.4977 | 0.7055 |
| No log | 26.0 | 416 | 0.5247 | 0.5898 | 0.5247 | 0.7244 |
| No log | 26.125 | 418 | 0.5535 | 0.5643 | 0.5535 | 0.7440 |
| No log | 26.25 | 420 | 0.5273 | 0.5543 | 0.5273 | 0.7262 |
| No log | 26.375 | 422 | 0.4607 | 0.5110 | 0.4607 | 0.6788 |
| No log | 26.5 | 424 | 0.4407 | 0.5248 | 0.4407 | 0.6638 |
| No log | 26.625 | 426 | 0.4497 | 0.6797 | 0.4497 | 0.6706 |
| No log | 26.75 | 428 | 0.4597 | 0.6797 | 0.4597 | 0.6780 |
| No log | 26.875 | 430 | 0.4492 | 0.6129 | 0.4492 | 0.6702 |
| No log | 27.0 | 432 | 0.4444 | 0.6129 | 0.4444 | 0.6666 |
| No log | 27.125 | 434 | 0.4401 | 0.5143 | 0.4401 | 0.6634 |
| No log | 27.25 | 436 | 0.4472 | 0.5178 | 0.4472 | 0.6687 |
| No log | 27.375 | 438 | 0.4541 | 0.5104 | 0.4541 | 0.6739 |
| No log | 27.5 | 440 | 0.4716 | 0.5780 | 0.4716 | 0.6867 |
| No log | 27.625 | 442 | 0.5056 | 0.6129 | 0.5056 | 0.7111 |
| No log | 27.75 | 444 | 0.4823 | 0.5849 | 0.4823 | 0.6945 |
| No log | 27.875 | 446 | 0.4774 | 0.5922 | 0.4774 | 0.6909 |
| No log | 28.0 | 448 | 0.4732 | 0.5672 | 0.4732 | 0.6879 |
| No log | 28.125 | 450 | 0.4579 | 0.5230 | 0.4579 | 0.6767 |
| No log | 28.25 | 452 | 0.4561 | 0.4756 | 0.4561 | 0.6753 |
| No log | 28.375 | 454 | 0.4388 | 0.5265 | 0.4388 | 0.6624 |
| No log | 28.5 | 456 | 0.4357 | 0.5305 | 0.4357 | 0.6601 |
| No log | 28.625 | 458 | 0.4394 | 0.5800 | 0.4394 | 0.6629 |
| No log | 28.75 | 460 | 0.4412 | 0.5361 | 0.4412 | 0.6642 |
| No log | 28.875 | 462 | 0.4406 | 0.5269 | 0.4406 | 0.6637 |
| No log | 29.0 | 464 | 0.4439 | 0.5254 | 0.4439 | 0.6663 |
| No log | 29.125 | 466 | 0.4590 | 0.5533 | 0.4590 | 0.6775 |
| No log | 29.25 | 468 | 0.4610 | 0.5505 | 0.4610 | 0.6790 |
| No log | 29.375 | 470 | 0.4738 | 0.6021 | 0.4738 | 0.6883 |
| No log | 29.5 | 472 | 0.4947 | 0.5348 | 0.4947 | 0.7034 |
| No log | 29.625 | 474 | 0.5380 | 0.5152 | 0.5380 | 0.7335 |
| No log | 29.75 | 476 | 0.5601 | 0.5249 | 0.5601 | 0.7484 |
| No log | 29.875 | 478 | 0.5411 | 0.5249 | 0.5411 | 0.7356 |
| No log | 30.0 | 480 | 0.5006 | 0.5524 | 0.5006 | 0.7076 |
| No log | 30.125 | 482 | 0.4709 | 0.5392 | 0.4709 | 0.6862 |
| No log | 30.25 | 484 | 0.4370 | 0.6388 | 0.4370 | 0.6611 |
| No log | 30.375 | 486 | 0.4285 | 0.6198 | 0.4285 | 0.6546 |
| No log | 30.5 | 488 | 0.4426 | 0.5467 | 0.4426 | 0.6653 |
| No log | 30.625 | 490 | 0.4707 | 0.5470 | 0.4707 | 0.6861 |
| No log | 30.75 | 492 | 0.4933 | 0.5195 | 0.4933 | 0.7024 |
| No log | 30.875 | 494 | 0.4711 | 0.5470 | 0.4711 | 0.6864 |
| No log | 31.0 | 496 | 0.4203 | 0.5831 | 0.4203 | 0.6483 |
| No log | 31.125 | 498 | 0.4088 | 0.6140 | 0.4088 | 0.6394 |
| 0.2293 | 31.25 | 500 | 0.4130 | 0.6257 | 0.4130 | 0.6426 |
| 0.2293 | 31.375 | 502 | 0.4518 | 0.5599 | 0.4518 | 0.6722 |
| 0.2293 | 31.5 | 504 | 0.5474 | 0.5948 | 0.5474 | 0.7399 |
| 0.2293 | 31.625 | 506 | 0.5922 | 0.5609 | 0.5922 | 0.7695 |
| 0.2293 | 31.75 | 508 | 0.6267 | 0.5358 | 0.6267 | 0.7916 |
| 0.2293 | 31.875 | 510 | 0.5694 | 0.5423 | 0.5694 | 0.7546 |
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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k4_task7_organization
Base model
aubmindlab/bert-base-arabertv02