ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k16_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: 0.8371
- Qwk: 0.4470
- Mse: 0.8371
- Rmse: 0.9149
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 | 0.0222 | 2 | 4.6481 | 0.0042 | 4.6481 | 2.1560 |
| No log | 0.0444 | 4 | 2.7766 | -0.0144 | 2.7766 | 1.6663 |
| No log | 0.0667 | 6 | 1.6420 | 0.0372 | 1.6420 | 1.2814 |
| No log | 0.0889 | 8 | 1.2712 | 0.0 | 1.2712 | 1.1275 |
| No log | 0.1111 | 10 | 1.1925 | 0.1927 | 1.1925 | 1.0920 |
| No log | 0.1333 | 12 | 1.1866 | 0.1247 | 1.1866 | 1.0893 |
| No log | 0.1556 | 14 | 1.2291 | 0.1076 | 1.2291 | 1.1086 |
| No log | 0.1778 | 16 | 1.2216 | 0.1482 | 1.2216 | 1.1053 |
| No log | 0.2 | 18 | 1.2603 | 0.1237 | 1.2603 | 1.1227 |
| No log | 0.2222 | 20 | 1.5055 | 0.0210 | 1.5055 | 1.2270 |
| No log | 0.2444 | 22 | 1.4686 | 0.0210 | 1.4686 | 1.2119 |
| No log | 0.2667 | 24 | 1.1593 | 0.1990 | 1.1593 | 1.0767 |
| No log | 0.2889 | 26 | 0.9927 | 0.2813 | 0.9927 | 0.9964 |
| No log | 0.3111 | 28 | 0.9690 | 0.3250 | 0.9690 | 0.9844 |
| No log | 0.3333 | 30 | 0.9636 | 0.3421 | 0.9636 | 0.9816 |
| No log | 0.3556 | 32 | 0.9606 | 0.3421 | 0.9606 | 0.9801 |
| No log | 0.3778 | 34 | 1.0148 | 0.2155 | 1.0148 | 1.0074 |
| No log | 0.4 | 36 | 1.2398 | 0.1748 | 1.2398 | 1.1135 |
| No log | 0.4222 | 38 | 1.2501 | 0.2654 | 1.2501 | 1.1181 |
| No log | 0.4444 | 40 | 1.1428 | 0.3651 | 1.1428 | 1.0690 |
| No log | 0.4667 | 42 | 1.0686 | 0.3579 | 1.0686 | 1.0337 |
| No log | 0.4889 | 44 | 0.9718 | 0.3577 | 0.9718 | 0.9858 |
| No log | 0.5111 | 46 | 0.9830 | 0.3772 | 0.9830 | 0.9914 |
| No log | 0.5333 | 48 | 1.0760 | 0.3412 | 1.0760 | 1.0373 |
| No log | 0.5556 | 50 | 1.0675 | 0.3103 | 1.0675 | 1.0332 |
| No log | 0.5778 | 52 | 1.0547 | 0.3703 | 1.0547 | 1.0270 |
| No log | 0.6 | 54 | 1.1280 | 0.3742 | 1.1280 | 1.0621 |
| No log | 0.6222 | 56 | 1.1456 | 0.3993 | 1.1456 | 1.0703 |
| No log | 0.6444 | 58 | 1.0893 | 0.4149 | 1.0893 | 1.0437 |
| No log | 0.6667 | 60 | 1.0268 | 0.4302 | 1.0268 | 1.0133 |
| No log | 0.6889 | 62 | 0.9643 | 0.4597 | 0.9643 | 0.9820 |
| No log | 0.7111 | 64 | 0.9402 | 0.4517 | 0.9402 | 0.9696 |
| No log | 0.7333 | 66 | 0.9926 | 0.5522 | 0.9926 | 0.9963 |
| No log | 0.7556 | 68 | 1.0236 | 0.5421 | 1.0236 | 1.0117 |
| No log | 0.7778 | 70 | 1.1205 | 0.4425 | 1.1205 | 1.0585 |
| No log | 0.8 | 72 | 1.1524 | 0.5122 | 1.1524 | 1.0735 |
| No log | 0.8222 | 74 | 1.1927 | 0.4452 | 1.1927 | 1.0921 |
| No log | 0.8444 | 76 | 1.2278 | 0.3856 | 1.2278 | 1.1081 |
| No log | 0.8667 | 78 | 1.1127 | 0.3864 | 1.1127 | 1.0548 |
| No log | 0.8889 | 80 | 1.0070 | 0.2757 | 1.0070 | 1.0035 |
| No log | 0.9111 | 82 | 0.8779 | 0.4366 | 0.8779 | 0.9370 |
| No log | 0.9333 | 84 | 0.8332 | 0.5184 | 0.8332 | 0.9128 |
| No log | 0.9556 | 86 | 0.8619 | 0.5562 | 0.8619 | 0.9284 |
| No log | 0.9778 | 88 | 0.9037 | 0.5025 | 0.9037 | 0.9506 |
| No log | 1.0 | 90 | 0.7887 | 0.5661 | 0.7887 | 0.8881 |
| No log | 1.0222 | 92 | 0.8138 | 0.4942 | 0.8138 | 0.9021 |
| No log | 1.0444 | 94 | 1.2119 | 0.4992 | 1.2119 | 1.1009 |
| No log | 1.0667 | 96 | 1.3989 | 0.4474 | 1.3989 | 1.1828 |
| No log | 1.0889 | 98 | 1.2630 | 0.5249 | 1.2630 | 1.1238 |
| No log | 1.1111 | 100 | 0.9547 | 0.5406 | 0.9547 | 0.9771 |
| No log | 1.1333 | 102 | 0.8993 | 0.5192 | 0.8993 | 0.9483 |
| No log | 1.1556 | 104 | 0.8576 | 0.4925 | 0.8576 | 0.9260 |
| No log | 1.1778 | 106 | 0.7692 | 0.5589 | 0.7692 | 0.8770 |
| No log | 1.2 | 108 | 0.9510 | 0.5375 | 0.9510 | 0.9752 |
| No log | 1.2222 | 110 | 1.1012 | 0.4758 | 1.1012 | 1.0494 |
| No log | 1.2444 | 112 | 1.0767 | 0.4856 | 1.0767 | 1.0376 |
| No log | 1.2667 | 114 | 0.8914 | 0.5474 | 0.8914 | 0.9442 |
| No log | 1.2889 | 116 | 0.7507 | 0.5571 | 0.7507 | 0.8664 |
| No log | 1.3111 | 118 | 0.7597 | 0.5624 | 0.7597 | 0.8716 |
| No log | 1.3333 | 120 | 0.8881 | 0.5002 | 0.8881 | 0.9424 |
| No log | 1.3556 | 122 | 1.0167 | 0.4828 | 1.0167 | 1.0083 |
| No log | 1.3778 | 124 | 0.9362 | 0.5395 | 0.9362 | 0.9676 |
| No log | 1.4 | 126 | 0.7762 | 0.5479 | 0.7762 | 0.8810 |
| No log | 1.4222 | 128 | 0.7083 | 0.6199 | 0.7083 | 0.8416 |
| No log | 1.4444 | 130 | 0.7033 | 0.6186 | 0.7033 | 0.8386 |
| No log | 1.4667 | 132 | 0.6792 | 0.6333 | 0.6792 | 0.8241 |
| No log | 1.4889 | 134 | 0.7499 | 0.6140 | 0.7499 | 0.8660 |
| No log | 1.5111 | 136 | 0.7921 | 0.6201 | 0.7921 | 0.8900 |
| No log | 1.5333 | 138 | 0.9814 | 0.4808 | 0.9814 | 0.9906 |
| No log | 1.5556 | 140 | 1.0355 | 0.5027 | 1.0355 | 1.0176 |
| No log | 1.5778 | 142 | 0.8345 | 0.5743 | 0.8345 | 0.9135 |
| No log | 1.6 | 144 | 0.7072 | 0.5262 | 0.7072 | 0.8410 |
| No log | 1.6222 | 146 | 0.7186 | 0.6622 | 0.7186 | 0.8477 |
| No log | 1.6444 | 148 | 0.6998 | 0.6578 | 0.6998 | 0.8366 |
| No log | 1.6667 | 150 | 0.7130 | 0.6067 | 0.7130 | 0.8444 |
| No log | 1.6889 | 152 | 0.8901 | 0.5626 | 0.8901 | 0.9434 |
| No log | 1.7111 | 154 | 1.0428 | 0.5647 | 1.0428 | 1.0212 |
| No log | 1.7333 | 156 | 0.9526 | 0.5798 | 0.9526 | 0.9760 |
| No log | 1.7556 | 158 | 0.7541 | 0.5896 | 0.7541 | 0.8684 |
| No log | 1.7778 | 160 | 0.7375 | 0.6352 | 0.7375 | 0.8588 |
| No log | 1.8 | 162 | 0.7297 | 0.6160 | 0.7297 | 0.8542 |
| No log | 1.8222 | 164 | 0.7659 | 0.5647 | 0.7659 | 0.8752 |
| No log | 1.8444 | 166 | 0.9321 | 0.5253 | 0.9321 | 0.9655 |
| No log | 1.8667 | 168 | 1.0018 | 0.5015 | 1.0018 | 1.0009 |
| No log | 1.8889 | 170 | 0.9563 | 0.5177 | 0.9563 | 0.9779 |
| No log | 1.9111 | 172 | 0.8731 | 0.5408 | 0.8731 | 0.9344 |
| No log | 1.9333 | 174 | 0.9032 | 0.5705 | 0.9032 | 0.9504 |
| No log | 1.9556 | 176 | 0.9368 | 0.5583 | 0.9368 | 0.9679 |
| No log | 1.9778 | 178 | 0.9037 | 0.5262 | 0.9037 | 0.9506 |
| No log | 2.0 | 180 | 0.8453 | 0.5105 | 0.8453 | 0.9194 |
| No log | 2.0222 | 182 | 0.8843 | 0.5094 | 0.8843 | 0.9404 |
| No log | 2.0444 | 184 | 0.8478 | 0.4946 | 0.8478 | 0.9208 |
| No log | 2.0667 | 186 | 0.8228 | 0.5086 | 0.8228 | 0.9071 |
| No log | 2.0889 | 188 | 0.7906 | 0.4940 | 0.7906 | 0.8892 |
| No log | 2.1111 | 190 | 0.8633 | 0.5570 | 0.8633 | 0.9291 |
| No log | 2.1333 | 192 | 1.1160 | 0.5073 | 1.1160 | 1.0564 |
| No log | 2.1556 | 194 | 1.3259 | 0.4211 | 1.3259 | 1.1515 |
| No log | 2.1778 | 196 | 1.3175 | 0.4186 | 1.3175 | 1.1478 |
| No log | 2.2 | 198 | 1.2211 | 0.3839 | 1.2211 | 1.1050 |
| No log | 2.2222 | 200 | 1.0741 | 0.5053 | 1.0741 | 1.0364 |
| No log | 2.2444 | 202 | 0.8963 | 0.5125 | 0.8963 | 0.9467 |
| No log | 2.2667 | 204 | 0.8107 | 0.6035 | 0.8107 | 0.9004 |
| No log | 2.2889 | 206 | 0.7921 | 0.5426 | 0.7921 | 0.8900 |
| No log | 2.3111 | 208 | 0.7874 | 0.4858 | 0.7874 | 0.8874 |
| No log | 2.3333 | 210 | 0.8601 | 0.4507 | 0.8601 | 0.9274 |
| No log | 2.3556 | 212 | 0.9838 | 0.5109 | 0.9838 | 0.9919 |
| No log | 2.3778 | 214 | 1.0661 | 0.5388 | 1.0661 | 1.0325 |
| No log | 2.4 | 216 | 1.0417 | 0.5015 | 1.0417 | 1.0206 |
| No log | 2.4222 | 218 | 0.8830 | 0.5547 | 0.8830 | 0.9397 |
| No log | 2.4444 | 220 | 0.7883 | 0.5245 | 0.7883 | 0.8879 |
| No log | 2.4667 | 222 | 0.8062 | 0.4968 | 0.8062 | 0.8979 |
| No log | 2.4889 | 224 | 0.8141 | 0.4639 | 0.8141 | 0.9023 |
| No log | 2.5111 | 226 | 0.9224 | 0.4430 | 0.9224 | 0.9604 |
| No log | 2.5333 | 228 | 0.9639 | 0.4856 | 0.9639 | 0.9818 |
| No log | 2.5556 | 230 | 0.8655 | 0.4879 | 0.8655 | 0.9303 |
| No log | 2.5778 | 232 | 0.8073 | 0.5788 | 0.8073 | 0.8985 |
| No log | 2.6 | 234 | 0.7960 | 0.5578 | 0.7960 | 0.8922 |
| No log | 2.6222 | 236 | 0.8748 | 0.5232 | 0.8748 | 0.9353 |
| No log | 2.6444 | 238 | 0.8588 | 0.4987 | 0.8588 | 0.9267 |
| No log | 2.6667 | 240 | 0.7459 | 0.5157 | 0.7459 | 0.8637 |
| No log | 2.6889 | 242 | 0.6821 | 0.6305 | 0.6821 | 0.8259 |
| No log | 2.7111 | 244 | 0.6847 | 0.6324 | 0.6847 | 0.8275 |
| No log | 2.7333 | 246 | 0.8022 | 0.5176 | 0.8022 | 0.8957 |
| No log | 2.7556 | 248 | 1.0744 | 0.4919 | 1.0744 | 1.0365 |
| No log | 2.7778 | 250 | 1.2172 | 0.4980 | 1.2172 | 1.1033 |
| No log | 2.8 | 252 | 1.2932 | 0.4884 | 1.2932 | 1.1372 |
| No log | 2.8222 | 254 | 1.1848 | 0.4884 | 1.1848 | 1.0885 |
| No log | 2.8444 | 256 | 0.9421 | 0.5246 | 0.9421 | 0.9706 |
| No log | 2.8667 | 258 | 0.7933 | 0.5556 | 0.7933 | 0.8907 |
| No log | 2.8889 | 260 | 0.7850 | 0.5683 | 0.7850 | 0.8860 |
| No log | 2.9111 | 262 | 0.8790 | 0.6004 | 0.8790 | 0.9376 |
| No log | 2.9333 | 264 | 0.8868 | 0.6004 | 0.8868 | 0.9417 |
| No log | 2.9556 | 266 | 0.8053 | 0.5166 | 0.8053 | 0.8974 |
| No log | 2.9778 | 268 | 0.6807 | 0.6060 | 0.6807 | 0.8251 |
| No log | 3.0 | 270 | 0.6530 | 0.6181 | 0.6530 | 0.8081 |
| No log | 3.0222 | 272 | 0.6543 | 0.6204 | 0.6543 | 0.8089 |
| No log | 3.0444 | 274 | 0.7449 | 0.5294 | 0.7449 | 0.8631 |
| No log | 3.0667 | 276 | 0.8928 | 0.5342 | 0.8928 | 0.9449 |
| No log | 3.0889 | 278 | 0.8723 | 0.5672 | 0.8723 | 0.9340 |
| No log | 3.1111 | 280 | 0.7540 | 0.5073 | 0.7540 | 0.8683 |
| No log | 3.1333 | 282 | 0.6959 | 0.5763 | 0.6959 | 0.8342 |
| No log | 3.1556 | 284 | 0.7241 | 0.5213 | 0.7241 | 0.8509 |
| No log | 3.1778 | 286 | 0.7939 | 0.4916 | 0.7939 | 0.8910 |
| No log | 3.2 | 288 | 0.8024 | 0.5124 | 0.8024 | 0.8958 |
| No log | 3.2222 | 290 | 0.7608 | 0.5089 | 0.7608 | 0.8722 |
| No log | 3.2444 | 292 | 0.7623 | 0.5073 | 0.7623 | 0.8731 |
| No log | 3.2667 | 294 | 0.7937 | 0.5548 | 0.7937 | 0.8909 |
| No log | 3.2889 | 296 | 0.8563 | 0.5505 | 0.8563 | 0.9253 |
| No log | 3.3111 | 298 | 0.8914 | 0.6075 | 0.8914 | 0.9442 |
| No log | 3.3333 | 300 | 0.9615 | 0.6146 | 0.9615 | 0.9805 |
| No log | 3.3556 | 302 | 1.1325 | 0.5388 | 1.1325 | 1.0642 |
| No log | 3.3778 | 304 | 1.2992 | 0.4668 | 1.2992 | 1.1398 |
| No log | 3.4 | 306 | 1.2033 | 0.4934 | 1.2033 | 1.0970 |
| No log | 3.4222 | 308 | 1.0794 | 0.5215 | 1.0794 | 1.0389 |
| No log | 3.4444 | 310 | 0.8975 | 0.5857 | 0.8975 | 0.9474 |
| No log | 3.4667 | 312 | 0.7988 | 0.5917 | 0.7988 | 0.8938 |
| No log | 3.4889 | 314 | 0.7826 | 0.5514 | 0.7826 | 0.8846 |
| No log | 3.5111 | 316 | 0.7886 | 0.5094 | 0.7886 | 0.8880 |
| No log | 3.5333 | 318 | 0.8639 | 0.4869 | 0.8639 | 0.9295 |
| No log | 3.5556 | 320 | 1.0485 | 0.5375 | 1.0485 | 1.0240 |
| No log | 3.5778 | 322 | 1.1973 | 0.4833 | 1.1973 | 1.0942 |
| No log | 3.6 | 324 | 1.1944 | 0.5200 | 1.1944 | 1.0929 |
| No log | 3.6222 | 326 | 1.0397 | 0.5202 | 1.0397 | 1.0196 |
| No log | 3.6444 | 328 | 0.9352 | 0.5675 | 0.9352 | 0.9671 |
| No log | 3.6667 | 330 | 1.1016 | 0.4788 | 1.1016 | 1.0496 |
| No log | 3.6889 | 332 | 1.0221 | 0.4955 | 1.0221 | 1.0110 |
| No log | 3.7111 | 334 | 0.8224 | 0.5183 | 0.8224 | 0.9069 |
| No log | 3.7333 | 336 | 0.8024 | 0.4853 | 0.8024 | 0.8957 |
| No log | 3.7556 | 338 | 0.9164 | 0.5166 | 0.9164 | 0.9573 |
| No log | 3.7778 | 340 | 0.9781 | 0.4733 | 0.9781 | 0.9890 |
| No log | 3.8 | 342 | 0.9420 | 0.4527 | 0.9420 | 0.9706 |
| No log | 3.8222 | 344 | 0.8312 | 0.4420 | 0.8312 | 0.9117 |
| No log | 3.8444 | 346 | 0.7938 | 0.4937 | 0.7938 | 0.8910 |
| No log | 3.8667 | 348 | 0.8073 | 0.4923 | 0.8073 | 0.8985 |
| No log | 3.8889 | 350 | 0.8884 | 0.5451 | 0.8884 | 0.9425 |
| No log | 3.9111 | 352 | 0.9534 | 0.5208 | 0.9534 | 0.9764 |
| No log | 3.9333 | 354 | 0.9385 | 0.5201 | 0.9385 | 0.9688 |
| No log | 3.9556 | 356 | 0.8920 | 0.5054 | 0.8920 | 0.9445 |
| No log | 3.9778 | 358 | 0.9041 | 0.5056 | 0.9041 | 0.9509 |
| No log | 4.0 | 360 | 0.8645 | 0.4822 | 0.8645 | 0.9298 |
| No log | 4.0222 | 362 | 0.7968 | 0.4587 | 0.7968 | 0.8926 |
| No log | 4.0444 | 364 | 0.7445 | 0.4767 | 0.7445 | 0.8628 |
| No log | 4.0667 | 366 | 0.6868 | 0.5811 | 0.6868 | 0.8287 |
| No log | 4.0889 | 368 | 0.6780 | 0.5121 | 0.6780 | 0.8234 |
| No log | 4.1111 | 370 | 0.6768 | 0.6139 | 0.6768 | 0.8227 |
| No log | 4.1333 | 372 | 0.6970 | 0.6077 | 0.6970 | 0.8348 |
| No log | 4.1556 | 374 | 0.7939 | 0.5913 | 0.7939 | 0.8910 |
| No log | 4.1778 | 376 | 0.8659 | 0.5774 | 0.8659 | 0.9305 |
| No log | 4.2 | 378 | 0.8970 | 0.5392 | 0.8970 | 0.9471 |
| No log | 4.2222 | 380 | 0.8638 | 0.4948 | 0.8638 | 0.9294 |
| No log | 4.2444 | 382 | 0.8047 | 0.5359 | 0.8047 | 0.8970 |
| No log | 4.2667 | 384 | 0.7925 | 0.5381 | 0.7925 | 0.8902 |
| No log | 4.2889 | 386 | 0.7843 | 0.5510 | 0.7843 | 0.8856 |
| No log | 4.3111 | 388 | 0.7761 | 0.5510 | 0.7761 | 0.8810 |
| No log | 4.3333 | 390 | 0.7889 | 0.4840 | 0.7889 | 0.8882 |
| No log | 4.3556 | 392 | 0.8530 | 0.5086 | 0.8530 | 0.9236 |
| No log | 4.3778 | 394 | 0.8952 | 0.5044 | 0.8952 | 0.9461 |
| No log | 4.4 | 396 | 0.8971 | 0.5250 | 0.8971 | 0.9471 |
| No log | 4.4222 | 398 | 0.8696 | 0.5814 | 0.8696 | 0.9325 |
| No log | 4.4444 | 400 | 0.8451 | 0.5587 | 0.8451 | 0.9193 |
| No log | 4.4667 | 402 | 0.8236 | 0.5040 | 0.8236 | 0.9075 |
| No log | 4.4889 | 404 | 0.8325 | 0.5395 | 0.8325 | 0.9124 |
| No log | 4.5111 | 406 | 0.8407 | 0.5648 | 0.8407 | 0.9169 |
| No log | 4.5333 | 408 | 0.8224 | 0.5561 | 0.8224 | 0.9069 |
| No log | 4.5556 | 410 | 0.7673 | 0.5239 | 0.7673 | 0.8759 |
| No log | 4.5778 | 412 | 0.7460 | 0.4976 | 0.7460 | 0.8637 |
| No log | 4.6 | 414 | 0.7495 | 0.4912 | 0.7495 | 0.8658 |
| No log | 4.6222 | 416 | 0.7807 | 0.4681 | 0.7807 | 0.8836 |
| No log | 4.6444 | 418 | 0.8703 | 0.5086 | 0.8703 | 0.9329 |
| No log | 4.6667 | 420 | 1.0421 | 0.5273 | 1.0421 | 1.0208 |
| No log | 4.6889 | 422 | 1.0988 | 0.5409 | 1.0988 | 1.0482 |
| No log | 4.7111 | 424 | 1.0431 | 0.5562 | 1.0431 | 1.0213 |
| No log | 4.7333 | 426 | 1.0034 | 0.5406 | 1.0034 | 1.0017 |
| No log | 4.7556 | 428 | 0.8937 | 0.5135 | 0.8937 | 0.9453 |
| No log | 4.7778 | 430 | 0.8524 | 0.5029 | 0.8524 | 0.9233 |
| No log | 4.8 | 432 | 0.8710 | 0.4973 | 0.8710 | 0.9333 |
| No log | 4.8222 | 434 | 0.8792 | 0.4973 | 0.8792 | 0.9377 |
| No log | 4.8444 | 436 | 0.8683 | 0.4973 | 0.8683 | 0.9318 |
| No log | 4.8667 | 438 | 0.8459 | 0.4940 | 0.8459 | 0.9197 |
| No log | 4.8889 | 440 | 0.8757 | 0.5118 | 0.8757 | 0.9358 |
| No log | 4.9111 | 442 | 0.9407 | 0.4957 | 0.9407 | 0.9699 |
| No log | 4.9333 | 444 | 0.9400 | 0.5180 | 0.9400 | 0.9695 |
| No log | 4.9556 | 446 | 0.8659 | 0.4743 | 0.8659 | 0.9306 |
| No log | 4.9778 | 448 | 0.8041 | 0.4879 | 0.8041 | 0.8967 |
| No log | 5.0 | 450 | 0.8031 | 0.5195 | 0.8031 | 0.8962 |
| No log | 5.0222 | 452 | 0.8047 | 0.5143 | 0.8047 | 0.8970 |
| No log | 5.0444 | 454 | 0.8691 | 0.4429 | 0.8691 | 0.9322 |
| No log | 5.0667 | 456 | 1.0733 | 0.3537 | 1.0733 | 1.0360 |
| No log | 5.0889 | 458 | 1.2104 | 0.3867 | 1.2104 | 1.1002 |
| No log | 5.1111 | 460 | 1.1630 | 0.3872 | 1.1630 | 1.0784 |
| No log | 5.1333 | 462 | 0.9863 | 0.4817 | 0.9863 | 0.9931 |
| No log | 5.1556 | 464 | 0.7918 | 0.4889 | 0.7918 | 0.8898 |
| No log | 5.1778 | 466 | 0.7527 | 0.4548 | 0.7527 | 0.8676 |
| No log | 5.2 | 468 | 0.7419 | 0.5076 | 0.7419 | 0.8614 |
| No log | 5.2222 | 470 | 0.7647 | 0.4983 | 0.7647 | 0.8745 |
| No log | 5.2444 | 472 | 0.8059 | 0.5625 | 0.8059 | 0.8977 |
| No log | 5.2667 | 474 | 0.7824 | 0.5521 | 0.7824 | 0.8845 |
| No log | 5.2889 | 476 | 0.7627 | 0.5287 | 0.7627 | 0.8733 |
| No log | 5.3111 | 478 | 0.7502 | 0.5287 | 0.7502 | 0.8661 |
| No log | 5.3333 | 480 | 0.7416 | 0.4965 | 0.7416 | 0.8612 |
| No log | 5.3556 | 482 | 0.8083 | 0.5710 | 0.8083 | 0.8991 |
| No log | 5.3778 | 484 | 0.9211 | 0.5174 | 0.9211 | 0.9597 |
| No log | 5.4 | 486 | 0.9299 | 0.4444 | 0.9299 | 0.9643 |
| No log | 5.4222 | 488 | 0.8939 | 0.4972 | 0.8939 | 0.9455 |
| No log | 5.4444 | 490 | 0.8464 | 0.4754 | 0.8464 | 0.9200 |
| No log | 5.4667 | 492 | 0.8459 | 0.4297 | 0.8459 | 0.9197 |
| No log | 5.4889 | 494 | 0.8774 | 0.4261 | 0.8774 | 0.9367 |
| No log | 5.5111 | 496 | 0.9507 | 0.4339 | 0.9507 | 0.9750 |
| No log | 5.5333 | 498 | 1.0271 | 0.4511 | 1.0271 | 1.0135 |
| 0.3479 | 5.5556 | 500 | 1.0747 | 0.4841 | 1.0747 | 1.0367 |
| 0.3479 | 5.5778 | 502 | 0.9966 | 0.4841 | 0.9966 | 0.9983 |
| 0.3479 | 5.6 | 504 | 0.8701 | 0.4655 | 0.8701 | 0.9328 |
| 0.3479 | 5.6222 | 506 | 0.8282 | 0.4337 | 0.8282 | 0.9101 |
| 0.3479 | 5.6444 | 508 | 0.8161 | 0.4832 | 0.8161 | 0.9034 |
| 0.3479 | 5.6667 | 510 | 0.8371 | 0.4470 | 0.8371 | 0.9149 |
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_run3_AugV5_k16_task2_organization
Base model
aubmindlab/bert-base-arabertv02