ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k10_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: 0.7667
- Qwk: 0.5838
- Mse: 0.7667
- Rmse: 0.8756
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 | 0.0351 | 2 | 4.7350 | 0.0010 | 4.7350 | 2.1760 |
| No log | 0.0702 | 4 | 3.1306 | -0.0274 | 3.1306 | 1.7694 |
| No log | 0.1053 | 6 | 1.8221 | 0.0629 | 1.8221 | 1.3499 |
| No log | 0.1404 | 8 | 1.2986 | 0.0818 | 1.2986 | 1.1396 |
| No log | 0.1754 | 10 | 1.1532 | 0.2513 | 1.1532 | 1.0739 |
| No log | 0.2105 | 12 | 1.2149 | 0.1649 | 1.2149 | 1.1022 |
| No log | 0.2456 | 14 | 1.2740 | -0.0011 | 1.2740 | 1.1287 |
| No log | 0.2807 | 16 | 1.2609 | -0.0199 | 1.2609 | 1.1229 |
| No log | 0.3158 | 18 | 1.2005 | 0.0420 | 1.2005 | 1.0957 |
| No log | 0.3509 | 20 | 1.2040 | 0.0883 | 1.2040 | 1.0973 |
| No log | 0.3860 | 22 | 1.2335 | 0.0697 | 1.2335 | 1.1106 |
| No log | 0.4211 | 24 | 1.2558 | 0.1469 | 1.2558 | 1.1206 |
| No log | 0.4561 | 26 | 1.6417 | 0.1524 | 1.6417 | 1.2813 |
| No log | 0.4912 | 28 | 1.5971 | 0.2540 | 1.5971 | 1.2638 |
| No log | 0.5263 | 30 | 1.0582 | 0.3607 | 1.0582 | 1.0287 |
| No log | 0.5614 | 32 | 1.2479 | 0.4242 | 1.2479 | 1.1171 |
| No log | 0.5965 | 34 | 1.1921 | 0.4342 | 1.1921 | 1.0918 |
| No log | 0.6316 | 36 | 0.9991 | 0.4311 | 0.9991 | 0.9995 |
| No log | 0.6667 | 38 | 0.9596 | 0.5053 | 0.9596 | 0.9796 |
| No log | 0.7018 | 40 | 0.8828 | 0.5039 | 0.8828 | 0.9396 |
| No log | 0.7368 | 42 | 0.8327 | 0.5335 | 0.8327 | 0.9125 |
| No log | 0.7719 | 44 | 0.8816 | 0.4401 | 0.8816 | 0.9389 |
| No log | 0.8070 | 46 | 0.9340 | 0.4235 | 0.9340 | 0.9665 |
| No log | 0.8421 | 48 | 0.7952 | 0.5335 | 0.7952 | 0.8917 |
| No log | 0.8772 | 50 | 0.8393 | 0.4823 | 0.8393 | 0.9161 |
| No log | 0.9123 | 52 | 0.8676 | 0.4752 | 0.8676 | 0.9314 |
| No log | 0.9474 | 54 | 0.8463 | 0.5053 | 0.8463 | 0.9200 |
| No log | 0.9825 | 56 | 0.8038 | 0.6328 | 0.8038 | 0.8966 |
| No log | 1.0175 | 58 | 0.7960 | 0.6580 | 0.7960 | 0.8922 |
| No log | 1.0526 | 60 | 0.8349 | 0.5593 | 0.8349 | 0.9137 |
| No log | 1.0877 | 62 | 0.8624 | 0.5870 | 0.8624 | 0.9287 |
| No log | 1.1228 | 64 | 0.8263 | 0.6618 | 0.8263 | 0.9090 |
| No log | 1.1579 | 66 | 0.8108 | 0.6411 | 0.8108 | 0.9004 |
| No log | 1.1930 | 68 | 0.8176 | 0.6411 | 0.8176 | 0.9042 |
| No log | 1.2281 | 70 | 0.7887 | 0.5811 | 0.7887 | 0.8881 |
| No log | 1.2632 | 72 | 0.7799 | 0.5811 | 0.7799 | 0.8831 |
| No log | 1.2982 | 74 | 0.7936 | 0.6355 | 0.7936 | 0.8908 |
| No log | 1.3333 | 76 | 0.8720 | 0.5340 | 0.8720 | 0.9338 |
| No log | 1.3684 | 78 | 0.8005 | 0.5819 | 0.8005 | 0.8947 |
| No log | 1.4035 | 80 | 0.7803 | 0.4701 | 0.7803 | 0.8834 |
| No log | 1.4386 | 82 | 0.7960 | 0.4839 | 0.7960 | 0.8922 |
| No log | 1.4737 | 84 | 0.8941 | 0.4273 | 0.8941 | 0.9456 |
| No log | 1.5088 | 86 | 0.8315 | 0.4297 | 0.8315 | 0.9119 |
| No log | 1.5439 | 88 | 0.8646 | 0.5396 | 0.8646 | 0.9298 |
| No log | 1.5789 | 90 | 0.9655 | 0.4986 | 0.9655 | 0.9826 |
| No log | 1.6140 | 92 | 0.9448 | 0.5411 | 0.9448 | 0.9720 |
| No log | 1.6491 | 94 | 0.9421 | 0.4935 | 0.9421 | 0.9706 |
| No log | 1.6842 | 96 | 0.9302 | 0.4694 | 0.9302 | 0.9645 |
| No log | 1.7193 | 98 | 0.9861 | 0.5559 | 0.9861 | 0.9930 |
| No log | 1.7544 | 100 | 0.9623 | 0.5490 | 0.9623 | 0.9810 |
| No log | 1.7895 | 102 | 0.9152 | 0.5854 | 0.9152 | 0.9567 |
| No log | 1.8246 | 104 | 1.0677 | 0.5016 | 1.0677 | 1.0333 |
| No log | 1.8596 | 106 | 1.2000 | 0.5108 | 1.2000 | 1.0955 |
| No log | 1.8947 | 108 | 1.1795 | 0.5202 | 1.1795 | 1.0861 |
| No log | 1.9298 | 110 | 0.9006 | 0.5162 | 0.9006 | 0.9490 |
| No log | 1.9649 | 112 | 0.9556 | 0.6067 | 0.9556 | 0.9775 |
| No log | 2.0 | 114 | 1.1490 | 0.5424 | 1.1490 | 1.0719 |
| No log | 2.0351 | 116 | 1.1890 | 0.4504 | 1.1890 | 1.0904 |
| No log | 2.0702 | 118 | 1.0700 | 0.4513 | 1.0700 | 1.0344 |
| No log | 2.1053 | 120 | 0.8445 | 0.5769 | 0.8445 | 0.9190 |
| No log | 2.1404 | 122 | 0.7516 | 0.4866 | 0.7516 | 0.8669 |
| No log | 2.1754 | 124 | 0.7720 | 0.5180 | 0.7720 | 0.8786 |
| No log | 2.2105 | 126 | 0.7356 | 0.5861 | 0.7356 | 0.8577 |
| No log | 2.2456 | 128 | 0.8067 | 0.5757 | 0.8067 | 0.8982 |
| No log | 2.2807 | 130 | 0.9884 | 0.5495 | 0.9884 | 0.9942 |
| No log | 2.3158 | 132 | 1.0161 | 0.5439 | 1.0161 | 1.0080 |
| No log | 2.3509 | 134 | 0.8809 | 0.5483 | 0.8809 | 0.9386 |
| No log | 2.3860 | 136 | 0.7737 | 0.5862 | 0.7737 | 0.8796 |
| No log | 2.4211 | 138 | 0.7712 | 0.5693 | 0.7712 | 0.8782 |
| No log | 2.4561 | 140 | 0.7757 | 0.5807 | 0.7757 | 0.8808 |
| No log | 2.4912 | 142 | 0.8432 | 0.5470 | 0.8432 | 0.9182 |
| No log | 2.5263 | 144 | 0.9171 | 0.5799 | 0.9171 | 0.9576 |
| No log | 2.5614 | 146 | 0.8664 | 0.6118 | 0.8664 | 0.9308 |
| No log | 2.5965 | 148 | 0.8458 | 0.6662 | 0.8458 | 0.9197 |
| No log | 2.6316 | 150 | 0.8891 | 0.6077 | 0.8891 | 0.9429 |
| No log | 2.6667 | 152 | 0.8431 | 0.6555 | 0.8431 | 0.9182 |
| No log | 2.7018 | 154 | 0.8996 | 0.5315 | 0.8996 | 0.9484 |
| No log | 2.7368 | 156 | 1.0478 | 0.5126 | 1.0478 | 1.0236 |
| No log | 2.7719 | 158 | 1.0936 | 0.5480 | 1.0936 | 1.0458 |
| No log | 2.8070 | 160 | 0.9585 | 0.5311 | 0.9585 | 0.9790 |
| No log | 2.8421 | 162 | 0.8390 | 0.6032 | 0.8390 | 0.9160 |
| No log | 2.8772 | 164 | 0.8279 | 0.4932 | 0.8279 | 0.9099 |
| No log | 2.9123 | 166 | 0.8219 | 0.4742 | 0.8219 | 0.9066 |
| No log | 2.9474 | 168 | 0.8025 | 0.5794 | 0.8025 | 0.8958 |
| No log | 2.9825 | 170 | 0.9218 | 0.5635 | 0.9218 | 0.9601 |
| No log | 3.0175 | 172 | 1.0915 | 0.5714 | 1.0915 | 1.0447 |
| No log | 3.0526 | 174 | 1.2176 | 0.4530 | 1.2176 | 1.1035 |
| No log | 3.0877 | 176 | 1.1729 | 0.4931 | 1.1729 | 1.0830 |
| No log | 3.1228 | 178 | 0.9399 | 0.5907 | 0.9399 | 0.9695 |
| No log | 3.1579 | 180 | 0.8286 | 0.5407 | 0.8286 | 0.9103 |
| No log | 3.1930 | 182 | 1.0030 | 0.3959 | 1.0030 | 1.0015 |
| No log | 3.2281 | 184 | 0.9837 | 0.4260 | 0.9837 | 0.9918 |
| No log | 3.2632 | 186 | 0.8139 | 0.4402 | 0.8139 | 0.9022 |
| No log | 3.2982 | 188 | 0.7407 | 0.6015 | 0.7407 | 0.8606 |
| No log | 3.3333 | 190 | 0.8822 | 0.5469 | 0.8822 | 0.9392 |
| No log | 3.3684 | 192 | 0.9694 | 0.5140 | 0.9694 | 0.9846 |
| No log | 3.4035 | 194 | 0.9151 | 0.5250 | 0.9151 | 0.9566 |
| No log | 3.4386 | 196 | 0.7633 | 0.4575 | 0.7633 | 0.8736 |
| No log | 3.4737 | 198 | 0.8005 | 0.4752 | 0.8005 | 0.8947 |
| No log | 3.5088 | 200 | 0.8901 | 0.4973 | 0.8901 | 0.9435 |
| No log | 3.5439 | 202 | 0.8330 | 0.4842 | 0.8330 | 0.9127 |
| No log | 3.5789 | 204 | 0.7486 | 0.5785 | 0.7486 | 0.8652 |
| No log | 3.6140 | 206 | 0.7786 | 0.6100 | 0.7786 | 0.8824 |
| No log | 3.6491 | 208 | 0.8504 | 0.5947 | 0.8504 | 0.9222 |
| No log | 3.6842 | 210 | 0.8395 | 0.5961 | 0.8395 | 0.9162 |
| No log | 3.7193 | 212 | 0.8457 | 0.5778 | 0.8457 | 0.9196 |
| No log | 3.7544 | 214 | 0.8818 | 0.5700 | 0.8818 | 0.9391 |
| No log | 3.7895 | 216 | 0.9587 | 0.5736 | 0.9587 | 0.9791 |
| No log | 3.8246 | 218 | 1.0483 | 0.5476 | 1.0483 | 1.0239 |
| No log | 3.8596 | 220 | 1.1014 | 0.4866 | 1.1014 | 1.0495 |
| No log | 3.8947 | 222 | 0.9794 | 0.5614 | 0.9794 | 0.9897 |
| No log | 3.9298 | 224 | 0.8391 | 0.5720 | 0.8391 | 0.9160 |
| No log | 3.9649 | 226 | 0.9145 | 0.4518 | 0.9145 | 0.9563 |
| No log | 4.0 | 228 | 0.9598 | 0.4962 | 0.9598 | 0.9797 |
| No log | 4.0351 | 230 | 0.8731 | 0.4792 | 0.8731 | 0.9344 |
| No log | 4.0702 | 232 | 0.8186 | 0.5802 | 0.8186 | 0.9047 |
| No log | 4.1053 | 234 | 0.9408 | 0.5241 | 0.9408 | 0.9700 |
| No log | 4.1404 | 236 | 0.9810 | 0.4760 | 0.9810 | 0.9904 |
| No log | 4.1754 | 238 | 0.9177 | 0.5658 | 0.9177 | 0.9580 |
| No log | 4.2105 | 240 | 0.8241 | 0.5646 | 0.8241 | 0.9078 |
| No log | 4.2456 | 242 | 0.7899 | 0.5667 | 0.7899 | 0.8887 |
| No log | 4.2807 | 244 | 0.7753 | 0.5679 | 0.7753 | 0.8805 |
| No log | 4.3158 | 246 | 0.7793 | 0.5391 | 0.7793 | 0.8828 |
| No log | 4.3509 | 248 | 0.7948 | 0.5279 | 0.7948 | 0.8915 |
| No log | 4.3860 | 250 | 0.8782 | 0.5350 | 0.8782 | 0.9371 |
| No log | 4.4211 | 252 | 0.9220 | 0.5670 | 0.9220 | 0.9602 |
| No log | 4.4561 | 254 | 0.8908 | 0.6 | 0.8908 | 0.9438 |
| No log | 4.4912 | 256 | 0.8280 | 0.5788 | 0.8280 | 0.9100 |
| No log | 4.5263 | 258 | 0.8353 | 0.5899 | 0.8353 | 0.9140 |
| No log | 4.5614 | 260 | 0.8013 | 0.5957 | 0.8013 | 0.8952 |
| No log | 4.5965 | 262 | 0.7521 | 0.5957 | 0.7521 | 0.8672 |
| No log | 4.6316 | 264 | 0.7202 | 0.6171 | 0.7202 | 0.8486 |
| No log | 4.6667 | 266 | 0.7071 | 0.6461 | 0.7071 | 0.8409 |
| No log | 4.7018 | 268 | 0.7439 | 0.6089 | 0.7439 | 0.8625 |
| No log | 4.7368 | 270 | 0.8456 | 0.5899 | 0.8456 | 0.9196 |
| No log | 4.7719 | 272 | 0.9226 | 0.5468 | 0.9226 | 0.9605 |
| No log | 4.8070 | 274 | 0.9215 | 0.5135 | 0.9215 | 0.9600 |
| No log | 4.8421 | 276 | 0.8673 | 0.56 | 0.8673 | 0.9313 |
| No log | 4.8772 | 278 | 0.8182 | 0.5560 | 0.8182 | 0.9045 |
| No log | 4.9123 | 280 | 0.7485 | 0.5756 | 0.7485 | 0.8652 |
| No log | 4.9474 | 282 | 0.7545 | 0.5928 | 0.7545 | 0.8686 |
| No log | 4.9825 | 284 | 0.7410 | 0.5716 | 0.7410 | 0.8608 |
| No log | 5.0175 | 286 | 0.7346 | 0.5738 | 0.7346 | 0.8571 |
| No log | 5.0526 | 288 | 0.7470 | 0.6167 | 0.7470 | 0.8643 |
| No log | 5.0877 | 290 | 0.7925 | 0.5759 | 0.7925 | 0.8902 |
| No log | 5.1228 | 292 | 0.9905 | 0.5471 | 0.9905 | 0.9952 |
| No log | 5.1579 | 294 | 1.0896 | 0.5192 | 1.0896 | 1.0438 |
| No log | 5.1930 | 296 | 0.9521 | 0.5286 | 0.9521 | 0.9758 |
| No log | 5.2281 | 298 | 0.8127 | 0.5702 | 0.8127 | 0.9015 |
| No log | 5.2632 | 300 | 0.7664 | 0.5569 | 0.7664 | 0.8754 |
| No log | 5.2982 | 302 | 0.7531 | 0.5569 | 0.7531 | 0.8678 |
| No log | 5.3333 | 304 | 0.7453 | 0.5690 | 0.7453 | 0.8633 |
| No log | 5.3684 | 306 | 0.7969 | 0.5898 | 0.7969 | 0.8927 |
| No log | 5.4035 | 308 | 0.8517 | 0.5763 | 0.8517 | 0.9229 |
| No log | 5.4386 | 310 | 0.9191 | 0.5536 | 0.9191 | 0.9587 |
| No log | 5.4737 | 312 | 0.8667 | 0.5788 | 0.8667 | 0.9310 |
| No log | 5.5088 | 314 | 0.7994 | 0.5254 | 0.7994 | 0.8941 |
| No log | 5.5439 | 316 | 0.7858 | 0.5335 | 0.7858 | 0.8864 |
| No log | 5.5789 | 318 | 0.7795 | 0.5382 | 0.7795 | 0.8829 |
| No log | 5.6140 | 320 | 0.7729 | 0.5382 | 0.7729 | 0.8791 |
| No log | 5.6491 | 322 | 0.7717 | 0.5335 | 0.7717 | 0.8785 |
| No log | 5.6842 | 324 | 0.7646 | 0.5647 | 0.7646 | 0.8744 |
| No log | 5.7193 | 326 | 0.8151 | 0.5385 | 0.8151 | 0.9028 |
| No log | 5.7544 | 328 | 0.9262 | 0.5797 | 0.9262 | 0.9624 |
| No log | 5.7895 | 330 | 0.9226 | 0.5801 | 0.9226 | 0.9605 |
| No log | 5.8246 | 332 | 0.8574 | 0.6 | 0.8574 | 0.9260 |
| No log | 5.8596 | 334 | 0.7421 | 0.6249 | 0.7421 | 0.8615 |
| No log | 5.8947 | 336 | 0.6793 | 0.5931 | 0.6793 | 0.8242 |
| No log | 5.9298 | 338 | 0.6826 | 0.6041 | 0.6826 | 0.8262 |
| No log | 5.9649 | 340 | 0.7102 | 0.6065 | 0.7102 | 0.8428 |
| No log | 6.0 | 342 | 0.8019 | 0.6305 | 0.8019 | 0.8955 |
| No log | 6.0351 | 344 | 0.9531 | 0.5380 | 0.9531 | 0.9763 |
| No log | 6.0702 | 346 | 0.9395 | 0.5847 | 0.9395 | 0.9693 |
| No log | 6.1053 | 348 | 0.9026 | 0.5743 | 0.9026 | 0.9500 |
| No log | 6.1404 | 350 | 0.8819 | 0.5542 | 0.8819 | 0.9391 |
| No log | 6.1754 | 352 | 0.8970 | 0.5346 | 0.8970 | 0.9471 |
| No log | 6.2105 | 354 | 0.9461 | 0.5426 | 0.9461 | 0.9727 |
| No log | 6.2456 | 356 | 0.9965 | 0.5878 | 0.9965 | 0.9983 |
| No log | 6.2807 | 358 | 0.9653 | 0.5793 | 0.9653 | 0.9825 |
| No log | 6.3158 | 360 | 0.8779 | 0.5683 | 0.8779 | 0.9370 |
| No log | 6.3509 | 362 | 0.8848 | 0.5517 | 0.8848 | 0.9406 |
| No log | 6.3860 | 364 | 0.9161 | 0.5797 | 0.9161 | 0.9571 |
| No log | 6.4211 | 366 | 0.9204 | 0.5793 | 0.9204 | 0.9594 |
| No log | 6.4561 | 368 | 0.9098 | 0.5793 | 0.9098 | 0.9538 |
| No log | 6.4912 | 370 | 0.9407 | 0.5945 | 0.9407 | 0.9699 |
| No log | 6.5263 | 372 | 0.9333 | 0.5818 | 0.9333 | 0.9661 |
| No log | 6.5614 | 374 | 0.9051 | 0.5660 | 0.9051 | 0.9514 |
| No log | 6.5965 | 376 | 0.9230 | 0.5823 | 0.9230 | 0.9607 |
| No log | 6.6316 | 378 | 0.8655 | 0.5168 | 0.8655 | 0.9303 |
| No log | 6.6667 | 380 | 0.8214 | 0.5545 | 0.8214 | 0.9063 |
| No log | 6.7018 | 382 | 0.8169 | 0.5521 | 0.8169 | 0.9038 |
| No log | 6.7368 | 384 | 0.8017 | 0.5202 | 0.8017 | 0.8954 |
| No log | 6.7719 | 386 | 0.8476 | 0.4615 | 0.8476 | 0.9207 |
| No log | 6.8070 | 388 | 0.8775 | 0.5216 | 0.8775 | 0.9367 |
| No log | 6.8421 | 390 | 0.8682 | 0.5150 | 0.8682 | 0.9318 |
| No log | 6.8772 | 392 | 0.7999 | 0.5157 | 0.7999 | 0.8944 |
| No log | 6.9123 | 394 | 0.7933 | 0.5141 | 0.7933 | 0.8907 |
| No log | 6.9474 | 396 | 0.7910 | 0.5141 | 0.7910 | 0.8894 |
| No log | 6.9825 | 398 | 0.7759 | 0.5151 | 0.7759 | 0.8809 |
| No log | 7.0175 | 400 | 0.7805 | 0.5476 | 0.7805 | 0.8835 |
| No log | 7.0526 | 402 | 0.8066 | 0.5141 | 0.8066 | 0.8981 |
| No log | 7.0877 | 404 | 0.7787 | 0.5473 | 0.7787 | 0.8824 |
| No log | 7.1228 | 406 | 0.7113 | 0.6189 | 0.7113 | 0.8434 |
| No log | 7.1579 | 408 | 0.6893 | 0.5884 | 0.6893 | 0.8303 |
| No log | 7.1930 | 410 | 0.6855 | 0.6002 | 0.6855 | 0.8279 |
| No log | 7.2281 | 412 | 0.6895 | 0.5996 | 0.6895 | 0.8303 |
| No log | 7.2632 | 414 | 0.7523 | 0.5769 | 0.7523 | 0.8673 |
| No log | 7.2982 | 416 | 0.8834 | 0.5779 | 0.8834 | 0.9399 |
| No log | 7.3333 | 418 | 0.9228 | 0.5485 | 0.9228 | 0.9606 |
| No log | 7.3684 | 420 | 0.9431 | 0.5485 | 0.9431 | 0.9711 |
| No log | 7.4035 | 422 | 0.9486 | 0.5094 | 0.9486 | 0.9740 |
| No log | 7.4386 | 424 | 0.9102 | 0.5408 | 0.9102 | 0.9540 |
| No log | 7.4737 | 426 | 0.8232 | 0.5962 | 0.8232 | 0.9073 |
| No log | 7.5088 | 428 | 0.7810 | 0.6066 | 0.7810 | 0.8838 |
| No log | 7.5439 | 430 | 0.7575 | 0.5838 | 0.7575 | 0.8704 |
| No log | 7.5789 | 432 | 0.7592 | 0.5868 | 0.7592 | 0.8713 |
| No log | 7.6140 | 434 | 0.7629 | 0.5424 | 0.7629 | 0.8735 |
| No log | 7.6491 | 436 | 0.7731 | 0.4889 | 0.7731 | 0.8793 |
| No log | 7.6842 | 438 | 0.7850 | 0.4889 | 0.7850 | 0.8860 |
| No log | 7.7193 | 440 | 0.7920 | 0.4876 | 0.7920 | 0.8900 |
| No log | 7.7544 | 442 | 0.8224 | 0.4840 | 0.8224 | 0.9068 |
| No log | 7.7895 | 444 | 0.8003 | 0.5625 | 0.8003 | 0.8946 |
| No log | 7.8246 | 446 | 0.7447 | 0.6499 | 0.7447 | 0.8629 |
| No log | 7.8596 | 448 | 0.7450 | 0.6479 | 0.7450 | 0.8632 |
| No log | 7.8947 | 450 | 0.7509 | 0.6404 | 0.7509 | 0.8666 |
| No log | 7.9298 | 452 | 0.7476 | 0.5086 | 0.7476 | 0.8646 |
| No log | 7.9649 | 454 | 0.7789 | 0.4954 | 0.7789 | 0.8825 |
| No log | 8.0 | 456 | 0.8138 | 0.4969 | 0.8138 | 0.9021 |
| No log | 8.0351 | 458 | 0.8347 | 0.5478 | 0.8347 | 0.9136 |
| No log | 8.0702 | 460 | 0.8358 | 0.5601 | 0.8358 | 0.9142 |
| No log | 8.1053 | 462 | 0.8219 | 0.5823 | 0.8219 | 0.9066 |
| No log | 8.1404 | 464 | 0.8316 | 0.5300 | 0.8316 | 0.9119 |
| No log | 8.1754 | 466 | 0.8420 | 0.5647 | 0.8420 | 0.9176 |
| No log | 8.2105 | 468 | 0.9262 | 0.5743 | 0.9262 | 0.9624 |
| No log | 8.2456 | 470 | 0.9456 | 0.5743 | 0.9456 | 0.9724 |
| No log | 8.2807 | 472 | 0.8923 | 0.5332 | 0.8923 | 0.9446 |
| No log | 8.3158 | 474 | 0.8118 | 0.5159 | 0.8118 | 0.9010 |
| No log | 8.3509 | 476 | 0.7743 | 0.5895 | 0.7743 | 0.8799 |
| No log | 8.3860 | 478 | 0.7636 | 0.6107 | 0.7636 | 0.8738 |
| No log | 8.4211 | 480 | 0.7662 | 0.5504 | 0.7662 | 0.8753 |
| No log | 8.4561 | 482 | 0.7904 | 0.5595 | 0.7904 | 0.8890 |
| No log | 8.4912 | 484 | 0.8056 | 0.5331 | 0.8056 | 0.8976 |
| No log | 8.5263 | 486 | 0.7842 | 0.5743 | 0.7842 | 0.8855 |
| No log | 8.5614 | 488 | 0.7681 | 0.5917 | 0.7681 | 0.8764 |
| No log | 8.5965 | 490 | 0.7710 | 0.5949 | 0.7710 | 0.8780 |
| No log | 8.6316 | 492 | 0.7658 | 0.6098 | 0.7658 | 0.8751 |
| No log | 8.6667 | 494 | 0.7652 | 0.6157 | 0.7652 | 0.8748 |
| No log | 8.7018 | 496 | 0.7707 | 0.5695 | 0.7707 | 0.8779 |
| No log | 8.7368 | 498 | 0.7999 | 0.5659 | 0.7999 | 0.8944 |
| 0.3412 | 8.7719 | 500 | 0.7973 | 0.5892 | 0.7973 | 0.8929 |
| 0.3412 | 8.8070 | 502 | 0.7917 | 0.5892 | 0.7917 | 0.8897 |
| 0.3412 | 8.8421 | 504 | 0.7861 | 0.5785 | 0.7861 | 0.8866 |
| 0.3412 | 8.8772 | 506 | 0.8007 | 0.5283 | 0.8007 | 0.8948 |
| 0.3412 | 8.9123 | 508 | 0.7972 | 0.5264 | 0.7972 | 0.8928 |
| 0.3412 | 8.9474 | 510 | 0.7667 | 0.5838 | 0.7667 | 0.8756 |
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_run2_AugV5_k10_task2_organization
Base model
aubmindlab/bert-base-arabertv02