ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k10_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: 0.5074
- Qwk: 0.3974
- Mse: 0.5074
- Rmse: 0.7123
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 | 2.5262 | -0.0262 | 2.5262 | 1.5894 |
No log | 0.1481 | 4 | 1.3142 | 0.1262 | 1.3142 | 1.1464 |
No log | 0.2222 | 6 | 1.0509 | -0.0970 | 1.0509 | 1.0251 |
No log | 0.2963 | 8 | 0.8892 | -0.0764 | 0.8892 | 0.9430 |
No log | 0.3704 | 10 | 0.8148 | 0.0026 | 0.8148 | 0.9027 |
No log | 0.4444 | 12 | 0.8081 | 0.0053 | 0.8081 | 0.8989 |
No log | 0.5185 | 14 | 0.8261 | 0.0481 | 0.8261 | 0.9089 |
No log | 0.5926 | 16 | 0.8230 | 0.0481 | 0.8230 | 0.9072 |
No log | 0.6667 | 18 | 0.8115 | 0.0 | 0.8115 | 0.9009 |
No log | 0.7407 | 20 | 0.7755 | 0.0 | 0.7755 | 0.8806 |
No log | 0.8148 | 22 | 0.7757 | 0.0 | 0.7757 | 0.8808 |
No log | 0.8889 | 24 | 0.8157 | 0.0393 | 0.8157 | 0.9032 |
No log | 0.9630 | 26 | 0.8129 | -0.0027 | 0.8129 | 0.9016 |
No log | 1.0370 | 28 | 0.7998 | 0.0 | 0.7998 | 0.8943 |
No log | 1.1111 | 30 | 0.8472 | -0.0027 | 0.8472 | 0.9205 |
No log | 1.1852 | 32 | 0.7863 | 0.0 | 0.7863 | 0.8867 |
No log | 1.2593 | 34 | 0.7741 | 0.0937 | 0.7741 | 0.8798 |
No log | 1.3333 | 36 | 0.7823 | 0.0937 | 0.7823 | 0.8845 |
No log | 1.4074 | 38 | 0.7801 | 0.0481 | 0.7801 | 0.8832 |
No log | 1.4815 | 40 | 0.7897 | 0.0937 | 0.7897 | 0.8887 |
No log | 1.5556 | 42 | 0.7700 | 0.0481 | 0.7700 | 0.8775 |
No log | 1.6296 | 44 | 0.7677 | 0.0481 | 0.7677 | 0.8762 |
No log | 1.7037 | 46 | 0.7744 | 0.0 | 0.7744 | 0.8800 |
No log | 1.7778 | 48 | 0.7892 | 0.0 | 0.7892 | 0.8884 |
No log | 1.8519 | 50 | 0.8407 | 0.1050 | 0.8407 | 0.9169 |
No log | 1.9259 | 52 | 0.9376 | 0.1264 | 0.9376 | 0.9683 |
No log | 2.0 | 54 | 0.9221 | 0.1264 | 0.9221 | 0.9603 |
No log | 2.0741 | 56 | 0.7818 | 0.2285 | 0.7818 | 0.8842 |
No log | 2.1481 | 58 | 0.6869 | 0.1983 | 0.6869 | 0.8288 |
No log | 2.2222 | 60 | 0.7223 | 0.0481 | 0.7223 | 0.8499 |
No log | 2.2963 | 62 | 0.7632 | 0.2132 | 0.7632 | 0.8736 |
No log | 2.3704 | 64 | 0.6797 | 0.1372 | 0.6797 | 0.8244 |
No log | 2.4444 | 66 | 0.6410 | 0.1604 | 0.6410 | 0.8006 |
No log | 2.5185 | 68 | 0.6390 | 0.2270 | 0.6390 | 0.7994 |
No log | 2.5926 | 70 | 0.6376 | 0.2085 | 0.6376 | 0.7985 |
No log | 2.6667 | 72 | 0.6776 | 0.3564 | 0.6776 | 0.8232 |
No log | 2.7407 | 74 | 0.6286 | 0.2379 | 0.6286 | 0.7928 |
No log | 2.8148 | 76 | 0.6215 | 0.2675 | 0.6215 | 0.7883 |
No log | 2.8889 | 78 | 0.6335 | 0.2418 | 0.6335 | 0.7959 |
No log | 2.9630 | 80 | 0.6532 | 0.2237 | 0.6532 | 0.8082 |
No log | 3.0370 | 82 | 0.7027 | 0.3060 | 0.7027 | 0.8383 |
No log | 3.1111 | 84 | 0.6886 | 0.2440 | 0.6886 | 0.8298 |
No log | 3.1852 | 86 | 0.7167 | 0.2960 | 0.7167 | 0.8466 |
No log | 3.2593 | 88 | 0.9161 | 0.2993 | 0.9161 | 0.9571 |
No log | 3.3333 | 90 | 1.0609 | 0.2861 | 1.0609 | 1.0300 |
No log | 3.4074 | 92 | 1.1054 | 0.3273 | 1.1054 | 1.0514 |
No log | 3.4815 | 94 | 0.8779 | 0.2843 | 0.8779 | 0.9370 |
No log | 3.5556 | 96 | 0.6992 | 0.4029 | 0.6992 | 0.8362 |
No log | 3.6296 | 98 | 0.7449 | 0.3710 | 0.7449 | 0.8631 |
No log | 3.7037 | 100 | 0.7743 | 0.3579 | 0.7743 | 0.8800 |
No log | 3.7778 | 102 | 0.6422 | 0.3452 | 0.6422 | 0.8014 |
No log | 3.8519 | 104 | 0.6555 | 0.4028 | 0.6555 | 0.8096 |
No log | 3.9259 | 106 | 0.7082 | 0.3434 | 0.7082 | 0.8415 |
No log | 4.0 | 108 | 0.6697 | 0.2857 | 0.6697 | 0.8183 |
No log | 4.0741 | 110 | 0.6381 | 0.4019 | 0.6381 | 0.7988 |
No log | 4.1481 | 112 | 0.6531 | 0.2973 | 0.6531 | 0.8081 |
No log | 4.2222 | 114 | 0.6519 | 0.3502 | 0.6519 | 0.8074 |
No log | 4.2963 | 116 | 0.6581 | 0.3170 | 0.6581 | 0.8112 |
No log | 4.3704 | 118 | 0.6603 | 0.3385 | 0.6603 | 0.8126 |
No log | 4.4444 | 120 | 0.6563 | 0.3228 | 0.6563 | 0.8101 |
No log | 4.5185 | 122 | 0.6962 | 0.3701 | 0.6962 | 0.8344 |
No log | 4.5926 | 124 | 0.7455 | 0.3099 | 0.7455 | 0.8634 |
No log | 4.6667 | 126 | 0.6938 | 0.3387 | 0.6938 | 0.8329 |
No log | 4.7407 | 128 | 0.6459 | 0.3385 | 0.6459 | 0.8037 |
No log | 4.8148 | 130 | 0.6755 | 0.2822 | 0.6755 | 0.8219 |
No log | 4.8889 | 132 | 0.6635 | 0.2822 | 0.6635 | 0.8146 |
No log | 4.9630 | 134 | 0.6467 | 0.3523 | 0.6467 | 0.8042 |
No log | 5.0370 | 136 | 0.7359 | 0.2632 | 0.7359 | 0.8578 |
No log | 5.1111 | 138 | 0.7449 | 0.2812 | 0.7449 | 0.8631 |
No log | 5.1852 | 140 | 0.6527 | 0.3649 | 0.6527 | 0.8079 |
No log | 5.2593 | 142 | 0.6268 | 0.4517 | 0.6268 | 0.7917 |
No log | 5.3333 | 144 | 0.6738 | 0.4776 | 0.6738 | 0.8208 |
No log | 5.4074 | 146 | 0.6421 | 0.4841 | 0.6421 | 0.8013 |
No log | 5.4815 | 148 | 0.6105 | 0.4838 | 0.6105 | 0.7813 |
No log | 5.5556 | 150 | 0.6009 | 0.4891 | 0.6009 | 0.7752 |
No log | 5.6296 | 152 | 0.6003 | 0.3445 | 0.6003 | 0.7748 |
No log | 5.7037 | 154 | 0.6317 | 0.3622 | 0.6317 | 0.7948 |
No log | 5.7778 | 156 | 0.6048 | 0.4086 | 0.6048 | 0.7777 |
No log | 5.8519 | 158 | 0.6325 | 0.3093 | 0.6325 | 0.7953 |
No log | 5.9259 | 160 | 0.7240 | 0.3140 | 0.7240 | 0.8509 |
No log | 6.0 | 162 | 0.6809 | 0.4129 | 0.6809 | 0.8252 |
No log | 6.0741 | 164 | 0.5758 | 0.5010 | 0.5758 | 0.7588 |
No log | 6.1481 | 166 | 0.6095 | 0.4260 | 0.6095 | 0.7807 |
No log | 6.2222 | 168 | 0.6169 | 0.3816 | 0.6169 | 0.7854 |
No log | 6.2963 | 170 | 0.5878 | 0.4402 | 0.5878 | 0.7667 |
No log | 6.3704 | 172 | 0.6144 | 0.5083 | 0.6144 | 0.7838 |
No log | 6.4444 | 174 | 0.6836 | 0.4904 | 0.6836 | 0.8268 |
No log | 6.5185 | 176 | 0.6362 | 0.4610 | 0.6362 | 0.7976 |
No log | 6.5926 | 178 | 0.5855 | 0.3728 | 0.5855 | 0.7652 |
No log | 6.6667 | 180 | 0.6370 | 0.4234 | 0.6370 | 0.7981 |
No log | 6.7407 | 182 | 0.7271 | 0.4430 | 0.7271 | 0.8527 |
No log | 6.8148 | 184 | 0.7246 | 0.4606 | 0.7246 | 0.8512 |
No log | 6.8889 | 186 | 0.6460 | 0.4523 | 0.6460 | 0.8037 |
No log | 6.9630 | 188 | 0.5938 | 0.5107 | 0.5938 | 0.7706 |
No log | 7.0370 | 190 | 0.6003 | 0.5075 | 0.6003 | 0.7748 |
No log | 7.1111 | 192 | 0.6168 | 0.4615 | 0.6168 | 0.7854 |
No log | 7.1852 | 194 | 0.6367 | 0.5159 | 0.6367 | 0.7980 |
No log | 7.2593 | 196 | 0.6437 | 0.4934 | 0.6437 | 0.8023 |
No log | 7.3333 | 198 | 0.6543 | 0.4742 | 0.6543 | 0.8089 |
No log | 7.4074 | 200 | 0.6661 | 0.4345 | 0.6661 | 0.8162 |
No log | 7.4815 | 202 | 0.6549 | 0.4701 | 0.6549 | 0.8093 |
No log | 7.5556 | 204 | 0.7174 | 0.4212 | 0.7174 | 0.8470 |
No log | 7.6296 | 206 | 0.7242 | 0.4212 | 0.7242 | 0.8510 |
No log | 7.7037 | 208 | 0.6684 | 0.4828 | 0.6684 | 0.8175 |
No log | 7.7778 | 210 | 0.6639 | 0.4828 | 0.6639 | 0.8148 |
No log | 7.8519 | 212 | 0.6553 | 0.4006 | 0.6553 | 0.8095 |
No log | 7.9259 | 214 | 0.6695 | 0.3163 | 0.6695 | 0.8182 |
No log | 8.0 | 216 | 0.6838 | 0.4139 | 0.6838 | 0.8269 |
No log | 8.0741 | 218 | 0.6683 | 0.4096 | 0.6683 | 0.8175 |
No log | 8.1481 | 220 | 0.6464 | 0.4194 | 0.6464 | 0.8040 |
No log | 8.2222 | 222 | 0.6723 | 0.4301 | 0.6723 | 0.8200 |
No log | 8.2963 | 224 | 0.6752 | 0.4523 | 0.6752 | 0.8217 |
No log | 8.3704 | 226 | 0.6351 | 0.4423 | 0.6351 | 0.7969 |
No log | 8.4444 | 228 | 0.6678 | 0.3953 | 0.6678 | 0.8172 |
No log | 8.5185 | 230 | 0.6381 | 0.4444 | 0.6381 | 0.7988 |
No log | 8.5926 | 232 | 0.6217 | 0.4029 | 0.6217 | 0.7885 |
No log | 8.6667 | 234 | 0.6036 | 0.5042 | 0.6036 | 0.7769 |
No log | 8.7407 | 236 | 0.5920 | 0.5042 | 0.5920 | 0.7694 |
No log | 8.8148 | 238 | 0.5880 | 0.5114 | 0.5880 | 0.7668 |
No log | 8.8889 | 240 | 0.5938 | 0.5095 | 0.5938 | 0.7706 |
No log | 8.9630 | 242 | 0.6156 | 0.4555 | 0.6156 | 0.7846 |
No log | 9.0370 | 244 | 0.6230 | 0.5254 | 0.6230 | 0.7893 |
No log | 9.1111 | 246 | 0.5954 | 0.4463 | 0.5954 | 0.7716 |
No log | 9.1852 | 248 | 0.5865 | 0.4463 | 0.5865 | 0.7658 |
No log | 9.2593 | 250 | 0.5885 | 0.4681 | 0.5885 | 0.7671 |
No log | 9.3333 | 252 | 0.5838 | 0.4885 | 0.5838 | 0.7641 |
No log | 9.4074 | 254 | 0.6167 | 0.4614 | 0.6167 | 0.7853 |
No log | 9.4815 | 256 | 0.6355 | 0.3925 | 0.6355 | 0.7972 |
No log | 9.5556 | 258 | 0.6043 | 0.4044 | 0.6043 | 0.7774 |
No log | 9.6296 | 260 | 0.6239 | 0.4660 | 0.6239 | 0.7899 |
No log | 9.7037 | 262 | 0.7763 | 0.3955 | 0.7763 | 0.8811 |
No log | 9.7778 | 264 | 0.9238 | 0.3522 | 0.9238 | 0.9612 |
No log | 9.8519 | 266 | 0.8822 | 0.4479 | 0.8822 | 0.9393 |
No log | 9.9259 | 268 | 0.7096 | 0.4721 | 0.7096 | 0.8424 |
No log | 10.0 | 270 | 0.6596 | 0.3754 | 0.6596 | 0.8122 |
No log | 10.0741 | 272 | 0.7437 | 0.3383 | 0.7437 | 0.8624 |
No log | 10.1481 | 274 | 0.7278 | 0.3425 | 0.7278 | 0.8531 |
No log | 10.2222 | 276 | 0.6538 | 0.4240 | 0.6538 | 0.8086 |
No log | 10.2963 | 278 | 0.6749 | 0.4207 | 0.6749 | 0.8215 |
No log | 10.3704 | 280 | 0.6974 | 0.4303 | 0.6974 | 0.8351 |
No log | 10.4444 | 282 | 0.6433 | 0.4724 | 0.6433 | 0.8021 |
No log | 10.5185 | 284 | 0.6146 | 0.4768 | 0.6146 | 0.7840 |
No log | 10.5926 | 286 | 0.6791 | 0.4058 | 0.6791 | 0.8241 |
No log | 10.6667 | 288 | 0.7750 | 0.3180 | 0.7750 | 0.8803 |
No log | 10.7407 | 290 | 0.7824 | 0.3239 | 0.7824 | 0.8845 |
No log | 10.8148 | 292 | 0.6786 | 0.4411 | 0.6786 | 0.8238 |
No log | 10.8889 | 294 | 0.5744 | 0.5246 | 0.5744 | 0.7579 |
No log | 10.9630 | 296 | 0.5690 | 0.4314 | 0.5690 | 0.7543 |
No log | 11.0370 | 298 | 0.6112 | 0.3763 | 0.6112 | 0.7818 |
No log | 11.1111 | 300 | 0.5937 | 0.4875 | 0.5937 | 0.7705 |
No log | 11.1852 | 302 | 0.5596 | 0.4639 | 0.5596 | 0.7481 |
No log | 11.2593 | 304 | 0.5695 | 0.4948 | 0.5695 | 0.7546 |
No log | 11.3333 | 306 | 0.5516 | 0.4883 | 0.5516 | 0.7427 |
No log | 11.4074 | 308 | 0.5307 | 0.4726 | 0.5307 | 0.7285 |
No log | 11.4815 | 310 | 0.5082 | 0.5324 | 0.5082 | 0.7129 |
No log | 11.5556 | 312 | 0.5540 | 0.4389 | 0.5540 | 0.7443 |
No log | 11.6296 | 314 | 0.6185 | 0.4509 | 0.6185 | 0.7865 |
No log | 11.7037 | 316 | 0.6032 | 0.4489 | 0.6032 | 0.7766 |
No log | 11.7778 | 318 | 0.5672 | 0.5171 | 0.5672 | 0.7531 |
No log | 11.8519 | 320 | 0.5569 | 0.5114 | 0.5569 | 0.7462 |
No log | 11.9259 | 322 | 0.6008 | 0.4029 | 0.6008 | 0.7751 |
No log | 12.0 | 324 | 0.6082 | 0.3393 | 0.6082 | 0.7799 |
No log | 12.0741 | 326 | 0.5893 | 0.3640 | 0.5893 | 0.7677 |
No log | 12.1481 | 328 | 0.5611 | 0.4908 | 0.5611 | 0.7491 |
No log | 12.2222 | 330 | 0.5589 | 0.3781 | 0.5589 | 0.7476 |
No log | 12.2963 | 332 | 0.5732 | 0.4703 | 0.5732 | 0.7571 |
No log | 12.3704 | 334 | 0.5881 | 0.3970 | 0.5881 | 0.7668 |
No log | 12.4444 | 336 | 0.6008 | 0.4044 | 0.6008 | 0.7751 |
No log | 12.5185 | 338 | 0.6201 | 0.3569 | 0.6201 | 0.7874 |
No log | 12.5926 | 340 | 0.5815 | 0.4314 | 0.5815 | 0.7626 |
No log | 12.6667 | 342 | 0.5434 | 0.4147 | 0.5434 | 0.7372 |
No log | 12.7407 | 344 | 0.5234 | 0.5440 | 0.5234 | 0.7235 |
No log | 12.8148 | 346 | 0.5441 | 0.4466 | 0.5441 | 0.7376 |
No log | 12.8889 | 348 | 0.5787 | 0.4713 | 0.5787 | 0.7608 |
No log | 12.9630 | 350 | 0.5563 | 0.4653 | 0.5563 | 0.7458 |
No log | 13.0370 | 352 | 0.5221 | 0.4361 | 0.5221 | 0.7226 |
No log | 13.1111 | 354 | 0.5767 | 0.4867 | 0.5767 | 0.7594 |
No log | 13.1852 | 356 | 0.6607 | 0.3169 | 0.6607 | 0.8128 |
No log | 13.2593 | 358 | 0.6406 | 0.3519 | 0.6406 | 0.8004 |
No log | 13.3333 | 360 | 0.5682 | 0.4524 | 0.5682 | 0.7538 |
No log | 13.4074 | 362 | 0.5283 | 0.4052 | 0.5283 | 0.7269 |
No log | 13.4815 | 364 | 0.5265 | 0.4634 | 0.5265 | 0.7256 |
No log | 13.5556 | 366 | 0.5316 | 0.4918 | 0.5316 | 0.7291 |
No log | 13.6296 | 368 | 0.5481 | 0.4888 | 0.5481 | 0.7404 |
No log | 13.7037 | 370 | 0.5427 | 0.4655 | 0.5427 | 0.7367 |
No log | 13.7778 | 372 | 0.5133 | 0.5379 | 0.5133 | 0.7164 |
No log | 13.8519 | 374 | 0.5580 | 0.5605 | 0.5580 | 0.7470 |
No log | 13.9259 | 376 | 0.5931 | 0.5246 | 0.5931 | 0.7702 |
No log | 14.0 | 378 | 0.5565 | 0.5403 | 0.5565 | 0.7460 |
No log | 14.0741 | 380 | 0.5063 | 0.5567 | 0.5063 | 0.7115 |
No log | 14.1481 | 382 | 0.4965 | 0.5304 | 0.4965 | 0.7046 |
No log | 14.2222 | 384 | 0.5062 | 0.4611 | 0.5062 | 0.7115 |
No log | 14.2963 | 386 | 0.5000 | 0.5379 | 0.5000 | 0.7071 |
No log | 14.3704 | 388 | 0.5001 | 0.5076 | 0.5001 | 0.7072 |
No log | 14.4444 | 390 | 0.5314 | 0.4493 | 0.5314 | 0.7289 |
No log | 14.5185 | 392 | 0.5524 | 0.5254 | 0.5524 | 0.7432 |
No log | 14.5926 | 394 | 0.5242 | 0.5272 | 0.5242 | 0.7240 |
No log | 14.6667 | 396 | 0.4911 | 0.6242 | 0.4911 | 0.7008 |
No log | 14.7407 | 398 | 0.4932 | 0.5875 | 0.4932 | 0.7023 |
No log | 14.8148 | 400 | 0.5078 | 0.5523 | 0.5078 | 0.7126 |
No log | 14.8889 | 402 | 0.4938 | 0.5797 | 0.4938 | 0.7027 |
No log | 14.9630 | 404 | 0.4851 | 0.6242 | 0.4851 | 0.6965 |
No log | 15.0370 | 406 | 0.5041 | 0.5455 | 0.5041 | 0.7100 |
No log | 15.1111 | 408 | 0.5075 | 0.5232 | 0.5075 | 0.7124 |
No log | 15.1852 | 410 | 0.5124 | 0.5455 | 0.5124 | 0.7158 |
No log | 15.2593 | 412 | 0.4981 | 0.5550 | 0.4981 | 0.7057 |
No log | 15.3333 | 414 | 0.4971 | 0.5550 | 0.4971 | 0.7051 |
No log | 15.4074 | 416 | 0.5127 | 0.5307 | 0.5127 | 0.7160 |
No log | 15.4815 | 418 | 0.5725 | 0.4568 | 0.5725 | 0.7566 |
No log | 15.5556 | 420 | 0.6189 | 0.4423 | 0.6189 | 0.7867 |
No log | 15.6296 | 422 | 0.5766 | 0.4795 | 0.5766 | 0.7593 |
No log | 15.7037 | 424 | 0.5441 | 0.5501 | 0.5441 | 0.7377 |
No log | 15.7778 | 426 | 0.5194 | 0.5550 | 0.5194 | 0.7207 |
No log | 15.8519 | 428 | 0.5197 | 0.5042 | 0.5197 | 0.7209 |
No log | 15.9259 | 430 | 0.5429 | 0.4849 | 0.5429 | 0.7368 |
No log | 16.0 | 432 | 0.5420 | 0.4849 | 0.5420 | 0.7362 |
No log | 16.0741 | 434 | 0.5297 | 0.4634 | 0.5297 | 0.7278 |
No log | 16.1481 | 436 | 0.5313 | 0.4857 | 0.5313 | 0.7289 |
No log | 16.2222 | 438 | 0.5429 | 0.4591 | 0.5429 | 0.7368 |
No log | 16.2963 | 440 | 0.5770 | 0.4618 | 0.5770 | 0.7596 |
No log | 16.3704 | 442 | 0.5905 | 0.4451 | 0.5905 | 0.7685 |
No log | 16.4444 | 444 | 0.5919 | 0.4602 | 0.5919 | 0.7693 |
No log | 16.5185 | 446 | 0.5422 | 0.5516 | 0.5422 | 0.7364 |
No log | 16.5926 | 448 | 0.5211 | 0.5852 | 0.5211 | 0.7219 |
No log | 16.6667 | 450 | 0.5107 | 0.5732 | 0.5107 | 0.7147 |
No log | 16.7407 | 452 | 0.5179 | 0.5404 | 0.5179 | 0.7197 |
No log | 16.8148 | 454 | 0.5353 | 0.5195 | 0.5353 | 0.7316 |
No log | 16.8889 | 456 | 0.5278 | 0.5289 | 0.5278 | 0.7265 |
No log | 16.9630 | 458 | 0.5107 | 0.4949 | 0.5107 | 0.7146 |
No log | 17.0370 | 460 | 0.5209 | 0.4838 | 0.5209 | 0.7217 |
No log | 17.1111 | 462 | 0.5227 | 0.4838 | 0.5227 | 0.7230 |
No log | 17.1852 | 464 | 0.5347 | 0.4838 | 0.5347 | 0.7313 |
No log | 17.2593 | 466 | 0.5396 | 0.4407 | 0.5396 | 0.7346 |
No log | 17.3333 | 468 | 0.5331 | 0.4101 | 0.5331 | 0.7301 |
No log | 17.4074 | 470 | 0.5349 | 0.4613 | 0.5349 | 0.7314 |
No log | 17.4815 | 472 | 0.5464 | 0.4229 | 0.5464 | 0.7392 |
No log | 17.5556 | 474 | 0.5649 | 0.4397 | 0.5649 | 0.7516 |
No log | 17.6296 | 476 | 0.5978 | 0.4430 | 0.5978 | 0.7732 |
No log | 17.7037 | 478 | 0.6183 | 0.4430 | 0.6183 | 0.7863 |
No log | 17.7778 | 480 | 0.6370 | 0.4430 | 0.6370 | 0.7981 |
No log | 17.8519 | 482 | 0.6048 | 0.4020 | 0.6048 | 0.7777 |
No log | 17.9259 | 484 | 0.5751 | 0.4100 | 0.5751 | 0.7583 |
No log | 18.0 | 486 | 0.5463 | 0.4124 | 0.5463 | 0.7391 |
No log | 18.0741 | 488 | 0.5340 | 0.4067 | 0.5340 | 0.7307 |
No log | 18.1481 | 490 | 0.5411 | 0.4576 | 0.5411 | 0.7356 |
No log | 18.2222 | 492 | 0.5161 | 0.4569 | 0.5161 | 0.7184 |
No log | 18.2963 | 494 | 0.5074 | 0.4569 | 0.5074 | 0.7123 |
No log | 18.3704 | 496 | 0.5090 | 0.4857 | 0.5090 | 0.7135 |
No log | 18.4444 | 498 | 0.5104 | 0.5189 | 0.5104 | 0.7144 |
0.333 | 18.5185 | 500 | 0.5138 | 0.4929 | 0.5138 | 0.7168 |
0.333 | 18.5926 | 502 | 0.5180 | 0.5307 | 0.5180 | 0.7197 |
0.333 | 18.6667 | 504 | 0.5173 | 0.4929 | 0.5173 | 0.7192 |
0.333 | 18.7407 | 506 | 0.5183 | 0.5189 | 0.5183 | 0.7199 |
0.333 | 18.8148 | 508 | 0.5190 | 0.5208 | 0.5190 | 0.7204 |
0.333 | 18.8889 | 510 | 0.5291 | 0.5902 | 0.5291 | 0.7274 |
0.333 | 18.9630 | 512 | 0.5406 | 0.5283 | 0.5406 | 0.7352 |
0.333 | 19.0370 | 514 | 0.5414 | 0.5208 | 0.5414 | 0.7358 |
0.333 | 19.1111 | 516 | 0.5229 | 0.5171 | 0.5229 | 0.7231 |
0.333 | 19.1852 | 518 | 0.5210 | 0.5152 | 0.5210 | 0.7218 |
0.333 | 19.2593 | 520 | 0.5137 | 0.4898 | 0.5137 | 0.7167 |
0.333 | 19.3333 | 522 | 0.5092 | 0.5422 | 0.5092 | 0.7136 |
0.333 | 19.4074 | 524 | 0.5150 | 0.5404 | 0.5150 | 0.7176 |
0.333 | 19.4815 | 526 | 0.5161 | 0.4314 | 0.5161 | 0.7184 |
0.333 | 19.5556 | 528 | 0.5176 | 0.4314 | 0.5176 | 0.7194 |
0.333 | 19.6296 | 530 | 0.5254 | 0.4027 | 0.5254 | 0.7249 |
0.333 | 19.7037 | 532 | 0.5446 | 0.5345 | 0.5446 | 0.7380 |
0.333 | 19.7778 | 534 | 0.5657 | 0.4997 | 0.5657 | 0.7521 |
0.333 | 19.8519 | 536 | 0.5376 | 0.5195 | 0.5376 | 0.7332 |
0.333 | 19.9259 | 538 | 0.5149 | 0.4895 | 0.5149 | 0.7176 |
0.333 | 20.0 | 540 | 0.5010 | 0.5071 | 0.5010 | 0.7078 |
0.333 | 20.0741 | 542 | 0.5054 | 0.4895 | 0.5054 | 0.7109 |
0.333 | 20.1481 | 544 | 0.5118 | 0.4895 | 0.5118 | 0.7154 |
0.333 | 20.2222 | 546 | 0.5024 | 0.4828 | 0.5024 | 0.7088 |
0.333 | 20.2963 | 548 | 0.4979 | 0.4224 | 0.4979 | 0.7056 |
0.333 | 20.3704 | 550 | 0.5074 | 0.3974 | 0.5074 | 0.7123 |
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_FineTuningAraBERT_run1_AugV5_k10_task7_organization
Base model
aubmindlab/bert-base-arabertv02