ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k7_task2_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: 0.5929
- Qwk: 0.5234
- Mse: 0.5929
- Rmse: 0.7700
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 | 0.0541 | 2 | 4.0802 | -0.0213 | 4.0802 | 2.0199 |
No log | 0.1081 | 4 | 2.1758 | 0.0463 | 2.1758 | 1.4751 |
No log | 0.1622 | 6 | 1.3229 | 0.0356 | 1.3229 | 1.1502 |
No log | 0.2162 | 8 | 1.0938 | -0.0167 | 1.0938 | 1.0458 |
No log | 0.2703 | 10 | 1.0733 | -0.0487 | 1.0733 | 1.0360 |
No log | 0.3243 | 12 | 1.0927 | 0.0148 | 1.0927 | 1.0453 |
No log | 0.3784 | 14 | 1.0923 | 0.0940 | 1.0923 | 1.0451 |
No log | 0.4324 | 16 | 1.0665 | 0.1378 | 1.0665 | 1.0327 |
No log | 0.4865 | 18 | 1.6473 | 0.1147 | 1.6473 | 1.2835 |
No log | 0.5405 | 20 | 1.3776 | 0.1094 | 1.3776 | 1.1737 |
No log | 0.5946 | 22 | 0.9009 | 0.1805 | 0.9009 | 0.9492 |
No log | 0.6486 | 24 | 0.9912 | 0.1421 | 0.9912 | 0.9956 |
No log | 0.7027 | 26 | 1.6272 | 0.1440 | 1.6272 | 1.2756 |
No log | 0.7568 | 28 | 2.1609 | 0.1050 | 2.1609 | 1.4700 |
No log | 0.8108 | 30 | 1.8929 | 0.1410 | 1.8929 | 1.3758 |
No log | 0.8649 | 32 | 1.2676 | 0.0845 | 1.2676 | 1.1259 |
No log | 0.9189 | 34 | 0.7827 | 0.2624 | 0.7827 | 0.8847 |
No log | 0.9730 | 36 | 0.6802 | 0.3303 | 0.6802 | 0.8248 |
No log | 1.0270 | 38 | 0.7048 | 0.3599 | 0.7048 | 0.8396 |
No log | 1.0811 | 40 | 0.9175 | 0.1695 | 0.9175 | 0.9579 |
No log | 1.1351 | 42 | 1.5689 | 0.1452 | 1.5689 | 1.2526 |
No log | 1.1892 | 44 | 2.2949 | 0.0753 | 2.2949 | 1.5149 |
No log | 1.2432 | 46 | 2.3418 | 0.0897 | 2.3418 | 1.5303 |
No log | 1.2973 | 48 | 1.9409 | 0.1660 | 1.9409 | 1.3932 |
No log | 1.3514 | 50 | 1.2785 | 0.1326 | 1.2785 | 1.1307 |
No log | 1.4054 | 52 | 0.7868 | 0.3546 | 0.7868 | 0.8870 |
No log | 1.4595 | 54 | 0.7277 | 0.3533 | 0.7277 | 0.8530 |
No log | 1.5135 | 56 | 0.8130 | 0.2193 | 0.8130 | 0.9017 |
No log | 1.5676 | 58 | 0.8716 | 0.2250 | 0.8716 | 0.9336 |
No log | 1.6216 | 60 | 0.8258 | 0.3281 | 0.8258 | 0.9087 |
No log | 1.6757 | 62 | 0.8724 | 0.2995 | 0.8724 | 0.9340 |
No log | 1.7297 | 64 | 0.7957 | 0.4369 | 0.7957 | 0.8920 |
No log | 1.7838 | 66 | 0.8464 | 0.3494 | 0.8464 | 0.9200 |
No log | 1.8378 | 68 | 0.9078 | 0.3292 | 0.9078 | 0.9528 |
No log | 1.8919 | 70 | 0.8132 | 0.3714 | 0.8132 | 0.9018 |
No log | 1.9459 | 72 | 0.6150 | 0.5053 | 0.6150 | 0.7842 |
No log | 2.0 | 74 | 0.5887 | 0.5330 | 0.5887 | 0.7673 |
No log | 2.0541 | 76 | 0.6126 | 0.5201 | 0.6126 | 0.7827 |
No log | 2.1081 | 78 | 0.7034 | 0.5023 | 0.7034 | 0.8387 |
No log | 2.1622 | 80 | 0.6659 | 0.5247 | 0.6659 | 0.8160 |
No log | 2.2162 | 82 | 0.6407 | 0.5228 | 0.6407 | 0.8005 |
No log | 2.2703 | 84 | 0.6723 | 0.5036 | 0.6723 | 0.8200 |
No log | 2.3243 | 86 | 0.8341 | 0.4653 | 0.8341 | 0.9133 |
No log | 2.3784 | 88 | 1.0930 | 0.3839 | 1.0930 | 1.0455 |
No log | 2.4324 | 90 | 1.1454 | 0.3612 | 1.1454 | 1.0702 |
No log | 2.4865 | 92 | 0.9582 | 0.4085 | 0.9582 | 0.9789 |
No log | 2.5405 | 94 | 0.7517 | 0.4757 | 0.7517 | 0.8670 |
No log | 2.5946 | 96 | 0.6244 | 0.4891 | 0.6244 | 0.7902 |
No log | 2.6486 | 98 | 0.6030 | 0.4274 | 0.6030 | 0.7766 |
No log | 2.7027 | 100 | 0.6245 | 0.4698 | 0.6245 | 0.7902 |
No log | 2.7568 | 102 | 0.8272 | 0.4567 | 0.8272 | 0.9095 |
No log | 2.8108 | 104 | 1.0874 | 0.3604 | 1.0874 | 1.0428 |
No log | 2.8649 | 106 | 1.1329 | 0.3178 | 1.1329 | 1.0644 |
No log | 2.9189 | 108 | 1.1371 | 0.2601 | 1.1371 | 1.0663 |
No log | 2.9730 | 110 | 0.8772 | 0.3882 | 0.8772 | 0.9366 |
No log | 3.0270 | 112 | 0.6164 | 0.4179 | 0.6164 | 0.7851 |
No log | 3.0811 | 114 | 0.5817 | 0.4810 | 0.5817 | 0.7627 |
No log | 3.1351 | 116 | 0.6638 | 0.5457 | 0.6638 | 0.8147 |
No log | 3.1892 | 118 | 1.0565 | 0.4023 | 1.0565 | 1.0279 |
No log | 3.2432 | 120 | 1.9199 | 0.2192 | 1.9199 | 1.3856 |
No log | 3.2973 | 122 | 2.1968 | 0.1632 | 2.1968 | 1.4822 |
No log | 3.3514 | 124 | 1.9959 | 0.2097 | 1.9959 | 1.4127 |
No log | 3.4054 | 126 | 1.5399 | 0.3213 | 1.5399 | 1.2409 |
No log | 3.4595 | 128 | 1.3521 | 0.3269 | 1.3521 | 1.1628 |
No log | 3.5135 | 130 | 1.1233 | 0.3340 | 1.1233 | 1.0598 |
No log | 3.5676 | 132 | 0.8622 | 0.4715 | 0.8622 | 0.9285 |
No log | 3.6216 | 134 | 0.7848 | 0.4988 | 0.7848 | 0.8859 |
No log | 3.6757 | 136 | 0.6522 | 0.4577 | 0.6522 | 0.8076 |
No log | 3.7297 | 138 | 0.5664 | 0.4970 | 0.5664 | 0.7526 |
No log | 3.7838 | 140 | 0.5723 | 0.5026 | 0.5723 | 0.7565 |
No log | 3.8378 | 142 | 0.6548 | 0.4633 | 0.6548 | 0.8092 |
No log | 3.8919 | 144 | 0.7812 | 0.4960 | 0.7812 | 0.8838 |
No log | 3.9459 | 146 | 0.7134 | 0.4786 | 0.7134 | 0.8446 |
No log | 4.0 | 148 | 0.5900 | 0.5728 | 0.5900 | 0.7681 |
No log | 4.0541 | 150 | 0.5943 | 0.5234 | 0.5943 | 0.7709 |
No log | 4.1081 | 152 | 0.6196 | 0.5881 | 0.6196 | 0.7872 |
No log | 4.1622 | 154 | 0.7037 | 0.5721 | 0.7037 | 0.8388 |
No log | 4.2162 | 156 | 0.7160 | 0.5706 | 0.7160 | 0.8462 |
No log | 4.2703 | 158 | 0.8240 | 0.4843 | 0.8240 | 0.9077 |
No log | 4.3243 | 160 | 0.8004 | 0.5026 | 0.8004 | 0.8946 |
No log | 4.3784 | 162 | 0.6985 | 0.5736 | 0.6985 | 0.8358 |
No log | 4.4324 | 164 | 0.6189 | 0.5969 | 0.6189 | 0.7867 |
No log | 4.4865 | 166 | 0.6403 | 0.5938 | 0.6403 | 0.8002 |
No log | 4.5405 | 168 | 0.7306 | 0.5097 | 0.7306 | 0.8547 |
No log | 4.5946 | 170 | 0.8052 | 0.5231 | 0.8052 | 0.8974 |
No log | 4.6486 | 172 | 0.6959 | 0.5064 | 0.6959 | 0.8342 |
No log | 4.7027 | 174 | 0.6034 | 0.5116 | 0.6034 | 0.7768 |
No log | 4.7568 | 176 | 0.6300 | 0.4999 | 0.6300 | 0.7937 |
No log | 4.8108 | 178 | 0.6057 | 0.4861 | 0.6057 | 0.7782 |
No log | 4.8649 | 180 | 0.7091 | 0.5424 | 0.7091 | 0.8421 |
No log | 4.9189 | 182 | 0.9481 | 0.4211 | 0.9481 | 0.9737 |
No log | 4.9730 | 184 | 0.9663 | 0.4068 | 0.9663 | 0.9830 |
No log | 5.0270 | 186 | 0.7471 | 0.5380 | 0.7471 | 0.8644 |
No log | 5.0811 | 188 | 0.6595 | 0.6047 | 0.6595 | 0.8121 |
No log | 5.1351 | 190 | 0.6592 | 0.5935 | 0.6592 | 0.8119 |
No log | 5.1892 | 192 | 0.6403 | 0.6137 | 0.6403 | 0.8002 |
No log | 5.2432 | 194 | 0.6579 | 0.5297 | 0.6579 | 0.8111 |
No log | 5.2973 | 196 | 0.6282 | 0.5901 | 0.6282 | 0.7926 |
No log | 5.3514 | 198 | 0.6173 | 0.5067 | 0.6173 | 0.7857 |
No log | 5.4054 | 200 | 0.5960 | 0.5145 | 0.5960 | 0.7720 |
No log | 5.4595 | 202 | 0.6388 | 0.5643 | 0.6388 | 0.7993 |
No log | 5.5135 | 204 | 0.7146 | 0.5046 | 0.7146 | 0.8453 |
No log | 5.5676 | 206 | 0.7600 | 0.4882 | 0.7600 | 0.8718 |
No log | 5.6216 | 208 | 0.7549 | 0.4860 | 0.7549 | 0.8689 |
No log | 5.6757 | 210 | 0.6690 | 0.5404 | 0.6690 | 0.8179 |
No log | 5.7297 | 212 | 0.6819 | 0.5781 | 0.6819 | 0.8258 |
No log | 5.7838 | 214 | 0.7981 | 0.5437 | 0.7981 | 0.8934 |
No log | 5.8378 | 216 | 0.9549 | 0.4420 | 0.9549 | 0.9772 |
No log | 5.8919 | 218 | 0.8969 | 0.4694 | 0.8969 | 0.9470 |
No log | 5.9459 | 220 | 0.7922 | 0.4826 | 0.7922 | 0.8901 |
No log | 6.0 | 222 | 0.6850 | 0.5581 | 0.6850 | 0.8277 |
No log | 6.0541 | 224 | 0.6559 | 0.5258 | 0.6559 | 0.8099 |
No log | 6.1081 | 226 | 0.6132 | 0.4938 | 0.6132 | 0.7830 |
No log | 6.1622 | 228 | 0.6079 | 0.4669 | 0.6079 | 0.7797 |
No log | 6.2162 | 230 | 0.7024 | 0.4161 | 0.7024 | 0.8381 |
No log | 6.2703 | 232 | 0.7112 | 0.4351 | 0.7112 | 0.8433 |
No log | 6.3243 | 234 | 0.6227 | 0.4626 | 0.6227 | 0.7891 |
No log | 6.3784 | 236 | 0.6217 | 0.5579 | 0.6217 | 0.7885 |
No log | 6.4324 | 238 | 0.6615 | 0.4955 | 0.6615 | 0.8133 |
No log | 6.4865 | 240 | 0.6724 | 0.5106 | 0.6724 | 0.8200 |
No log | 6.5405 | 242 | 0.6231 | 0.5569 | 0.6231 | 0.7894 |
No log | 6.5946 | 244 | 0.6033 | 0.5778 | 0.6033 | 0.7767 |
No log | 6.6486 | 246 | 0.6230 | 0.5432 | 0.6230 | 0.7893 |
No log | 6.7027 | 248 | 0.6157 | 0.5301 | 0.6157 | 0.7847 |
No log | 6.7568 | 250 | 0.6399 | 0.5062 | 0.6399 | 0.8000 |
No log | 6.8108 | 252 | 0.6019 | 0.5277 | 0.6019 | 0.7758 |
No log | 6.8649 | 254 | 0.5653 | 0.5136 | 0.5653 | 0.7518 |
No log | 6.9189 | 256 | 0.5553 | 0.4699 | 0.5553 | 0.7452 |
No log | 6.9730 | 258 | 0.5556 | 0.5139 | 0.5556 | 0.7454 |
No log | 7.0270 | 260 | 0.5590 | 0.5464 | 0.5590 | 0.7477 |
No log | 7.0811 | 262 | 0.5909 | 0.5065 | 0.5909 | 0.7687 |
No log | 7.1351 | 264 | 0.6431 | 0.4566 | 0.6431 | 0.8019 |
No log | 7.1892 | 266 | 0.6427 | 0.4713 | 0.6427 | 0.8017 |
No log | 7.2432 | 268 | 0.5759 | 0.5228 | 0.5759 | 0.7589 |
No log | 7.2973 | 270 | 0.5598 | 0.5561 | 0.5598 | 0.7482 |
No log | 7.3514 | 272 | 0.5696 | 0.5925 | 0.5696 | 0.7547 |
No log | 7.4054 | 274 | 0.5768 | 0.5421 | 0.5768 | 0.7595 |
No log | 7.4595 | 276 | 0.6225 | 0.4867 | 0.6225 | 0.7890 |
No log | 7.5135 | 278 | 0.6686 | 0.4583 | 0.6686 | 0.8177 |
No log | 7.5676 | 280 | 0.7273 | 0.4832 | 0.7273 | 0.8528 |
No log | 7.6216 | 282 | 0.6372 | 0.4496 | 0.6372 | 0.7983 |
No log | 7.6757 | 284 | 0.5781 | 0.4835 | 0.5781 | 0.7603 |
No log | 7.7297 | 286 | 0.5638 | 0.5344 | 0.5638 | 0.7509 |
No log | 7.7838 | 288 | 0.5644 | 0.5532 | 0.5644 | 0.7513 |
No log | 7.8378 | 290 | 0.5842 | 0.5004 | 0.5842 | 0.7643 |
No log | 7.8919 | 292 | 0.6408 | 0.5080 | 0.6408 | 0.8005 |
No log | 7.9459 | 294 | 0.7009 | 0.5397 | 0.7009 | 0.8372 |
No log | 8.0 | 296 | 0.7175 | 0.5124 | 0.7175 | 0.8471 |
No log | 8.0541 | 298 | 0.6923 | 0.5038 | 0.6923 | 0.8321 |
No log | 8.1081 | 300 | 0.6321 | 0.4742 | 0.6321 | 0.7950 |
No log | 8.1622 | 302 | 0.5905 | 0.4920 | 0.5905 | 0.7684 |
No log | 8.2162 | 304 | 0.6141 | 0.5230 | 0.6141 | 0.7837 |
No log | 8.2703 | 306 | 0.7122 | 0.4902 | 0.7122 | 0.8439 |
No log | 8.3243 | 308 | 0.6828 | 0.5168 | 0.6828 | 0.8263 |
No log | 8.3784 | 310 | 0.5956 | 0.5799 | 0.5956 | 0.7717 |
No log | 8.4324 | 312 | 0.6107 | 0.5877 | 0.6107 | 0.7815 |
No log | 8.4865 | 314 | 0.6552 | 0.5291 | 0.6552 | 0.8095 |
No log | 8.5405 | 316 | 0.6853 | 0.5329 | 0.6853 | 0.8279 |
No log | 8.5946 | 318 | 0.6261 | 0.5373 | 0.6261 | 0.7913 |
No log | 8.6486 | 320 | 0.5756 | 0.5101 | 0.5756 | 0.7587 |
No log | 8.7027 | 322 | 0.5987 | 0.5320 | 0.5987 | 0.7738 |
No log | 8.7568 | 324 | 0.5812 | 0.5728 | 0.5812 | 0.7624 |
No log | 8.8108 | 326 | 0.5658 | 0.5737 | 0.5658 | 0.7522 |
No log | 8.8649 | 328 | 0.5584 | 0.5662 | 0.5584 | 0.7473 |
No log | 8.9189 | 330 | 0.5493 | 0.5231 | 0.5493 | 0.7411 |
No log | 8.9730 | 332 | 0.5410 | 0.5059 | 0.5410 | 0.7355 |
No log | 9.0270 | 334 | 0.5469 | 0.4867 | 0.5469 | 0.7395 |
No log | 9.0811 | 336 | 0.5601 | 0.5283 | 0.5601 | 0.7484 |
No log | 9.1351 | 338 | 0.5482 | 0.5310 | 0.5482 | 0.7404 |
No log | 9.1892 | 340 | 0.5495 | 0.5630 | 0.5495 | 0.7413 |
No log | 9.2432 | 342 | 0.5610 | 0.6228 | 0.5610 | 0.7490 |
No log | 9.2973 | 344 | 0.6205 | 0.5904 | 0.6205 | 0.7877 |
No log | 9.3514 | 346 | 0.6510 | 0.5439 | 0.6510 | 0.8069 |
No log | 9.4054 | 348 | 0.6156 | 0.5949 | 0.6156 | 0.7846 |
No log | 9.4595 | 350 | 0.5798 | 0.5708 | 0.5798 | 0.7615 |
No log | 9.5135 | 352 | 0.5690 | 0.5493 | 0.5690 | 0.7543 |
No log | 9.5676 | 354 | 0.5771 | 0.5598 | 0.5771 | 0.7596 |
No log | 9.6216 | 356 | 0.5875 | 0.5503 | 0.5875 | 0.7665 |
No log | 9.6757 | 358 | 0.5976 | 0.5375 | 0.5976 | 0.7731 |
No log | 9.7297 | 360 | 0.5772 | 0.5614 | 0.5772 | 0.7597 |
No log | 9.7838 | 362 | 0.5793 | 0.5670 | 0.5793 | 0.7611 |
No log | 9.8378 | 364 | 0.5806 | 0.5706 | 0.5806 | 0.7620 |
No log | 9.8919 | 366 | 0.5675 | 0.5105 | 0.5675 | 0.7533 |
No log | 9.9459 | 368 | 0.5582 | 0.5885 | 0.5582 | 0.7471 |
No log | 10.0 | 370 | 0.5501 | 0.5706 | 0.5501 | 0.7417 |
No log | 10.0541 | 372 | 0.5541 | 0.5833 | 0.5541 | 0.7444 |
No log | 10.1081 | 374 | 0.5490 | 0.5896 | 0.5490 | 0.7409 |
No log | 10.1622 | 376 | 0.5437 | 0.5532 | 0.5437 | 0.7374 |
No log | 10.2162 | 378 | 0.5463 | 0.5470 | 0.5463 | 0.7391 |
No log | 10.2703 | 380 | 0.5501 | 0.5408 | 0.5501 | 0.7417 |
No log | 10.3243 | 382 | 0.5731 | 0.6214 | 0.5731 | 0.7570 |
No log | 10.3784 | 384 | 0.6497 | 0.5630 | 0.6497 | 0.8061 |
No log | 10.4324 | 386 | 0.7345 | 0.5284 | 0.7345 | 0.8570 |
No log | 10.4865 | 388 | 0.7420 | 0.5177 | 0.7420 | 0.8614 |
No log | 10.5405 | 390 | 0.6208 | 0.6246 | 0.6208 | 0.7879 |
No log | 10.5946 | 392 | 0.5632 | 0.5924 | 0.5632 | 0.7505 |
No log | 10.6486 | 394 | 0.5724 | 0.5850 | 0.5724 | 0.7566 |
No log | 10.7027 | 396 | 0.5695 | 0.5926 | 0.5695 | 0.7546 |
No log | 10.7568 | 398 | 0.5923 | 0.5522 | 0.5923 | 0.7696 |
No log | 10.8108 | 400 | 0.5712 | 0.5829 | 0.5712 | 0.7558 |
No log | 10.8649 | 402 | 0.5688 | 0.5652 | 0.5688 | 0.7542 |
No log | 10.9189 | 404 | 0.5673 | 0.5658 | 0.5673 | 0.7532 |
No log | 10.9730 | 406 | 0.5691 | 0.5658 | 0.5691 | 0.7544 |
No log | 11.0270 | 408 | 0.5742 | 0.5515 | 0.5742 | 0.7578 |
No log | 11.0811 | 410 | 0.6347 | 0.5317 | 0.6347 | 0.7967 |
No log | 11.1351 | 412 | 0.6902 | 0.5274 | 0.6902 | 0.8308 |
No log | 11.1892 | 414 | 0.6079 | 0.4990 | 0.6079 | 0.7797 |
No log | 11.2432 | 416 | 0.5491 | 0.4948 | 0.5491 | 0.7410 |
No log | 11.2973 | 418 | 0.5420 | 0.4697 | 0.5420 | 0.7362 |
No log | 11.3514 | 420 | 0.5349 | 0.4710 | 0.5349 | 0.7313 |
No log | 11.4054 | 422 | 0.5418 | 0.5053 | 0.5418 | 0.7361 |
No log | 11.4595 | 424 | 0.6050 | 0.5068 | 0.6050 | 0.7778 |
No log | 11.5135 | 426 | 0.6739 | 0.5213 | 0.6739 | 0.8209 |
No log | 11.5676 | 428 | 0.6285 | 0.5644 | 0.6285 | 0.7928 |
No log | 11.6216 | 430 | 0.6189 | 0.5547 | 0.6189 | 0.7867 |
No log | 11.6757 | 432 | 0.6093 | 0.5103 | 0.6093 | 0.7806 |
No log | 11.7297 | 434 | 0.6093 | 0.5190 | 0.6093 | 0.7806 |
No log | 11.7838 | 436 | 0.5700 | 0.4916 | 0.5700 | 0.7550 |
No log | 11.8378 | 438 | 0.5538 | 0.5318 | 0.5538 | 0.7442 |
No log | 11.8919 | 440 | 0.5502 | 0.5625 | 0.5502 | 0.7417 |
No log | 11.9459 | 442 | 0.5497 | 0.5539 | 0.5497 | 0.7414 |
No log | 12.0 | 444 | 0.5457 | 0.5306 | 0.5457 | 0.7387 |
No log | 12.0541 | 446 | 0.5568 | 0.5083 | 0.5568 | 0.7462 |
No log | 12.1081 | 448 | 0.5818 | 0.5921 | 0.5818 | 0.7627 |
No log | 12.1622 | 450 | 0.6197 | 0.6152 | 0.6197 | 0.7872 |
No log | 12.2162 | 452 | 0.6178 | 0.6088 | 0.6178 | 0.7860 |
No log | 12.2703 | 454 | 0.6080 | 0.5889 | 0.6080 | 0.7798 |
No log | 12.3243 | 456 | 0.6048 | 0.6040 | 0.6048 | 0.7777 |
No log | 12.3784 | 458 | 0.6121 | 0.6181 | 0.6121 | 0.7824 |
No log | 12.4324 | 460 | 0.6308 | 0.6504 | 0.6308 | 0.7942 |
No log | 12.4865 | 462 | 0.6069 | 0.6307 | 0.6069 | 0.7790 |
No log | 12.5405 | 464 | 0.5984 | 0.5864 | 0.5984 | 0.7736 |
No log | 12.5946 | 466 | 0.5839 | 0.6203 | 0.5839 | 0.7642 |
No log | 12.6486 | 468 | 0.5797 | 0.5989 | 0.5797 | 0.7614 |
No log | 12.7027 | 470 | 0.5846 | 0.5768 | 0.5846 | 0.7646 |
No log | 12.7568 | 472 | 0.5783 | 0.5593 | 0.5783 | 0.7604 |
No log | 12.8108 | 474 | 0.5585 | 0.5137 | 0.5585 | 0.7473 |
No log | 12.8649 | 476 | 0.5566 | 0.4731 | 0.5566 | 0.7461 |
No log | 12.9189 | 478 | 0.5528 | 0.4598 | 0.5528 | 0.7435 |
No log | 12.9730 | 480 | 0.5619 | 0.4721 | 0.5619 | 0.7496 |
No log | 13.0270 | 482 | 0.5619 | 0.4749 | 0.5619 | 0.7496 |
No log | 13.0811 | 484 | 0.5623 | 0.5095 | 0.5623 | 0.7499 |
No log | 13.1351 | 486 | 0.5640 | 0.5024 | 0.5640 | 0.7510 |
No log | 13.1892 | 488 | 0.5713 | 0.5103 | 0.5713 | 0.7558 |
No log | 13.2432 | 490 | 0.5749 | 0.4858 | 0.5749 | 0.7582 |
No log | 13.2973 | 492 | 0.5715 | 0.4749 | 0.5715 | 0.7560 |
No log | 13.3514 | 494 | 0.5735 | 0.4839 | 0.5735 | 0.7573 |
No log | 13.4054 | 496 | 0.5956 | 0.5170 | 0.5956 | 0.7717 |
No log | 13.4595 | 498 | 0.5820 | 0.5004 | 0.5820 | 0.7629 |
0.3491 | 13.5135 | 500 | 0.5820 | 0.5653 | 0.5820 | 0.7629 |
0.3491 | 13.5676 | 502 | 0.5926 | 0.5386 | 0.5926 | 0.7698 |
0.3491 | 13.6216 | 504 | 0.6005 | 0.5355 | 0.6005 | 0.7749 |
0.3491 | 13.6757 | 506 | 0.6153 | 0.5384 | 0.6153 | 0.7844 |
0.3491 | 13.7297 | 508 | 0.6128 | 0.5325 | 0.6128 | 0.7828 |
0.3491 | 13.7838 | 510 | 0.5929 | 0.5234 | 0.5929 | 0.7700 |
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/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k7_task2_organization
Base model
aubmindlab/bert-base-arabertv02