ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k19_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: 0.8590
- Qwk: 0.4278
- Mse: 0.8590
- Rmse: 0.9268
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 | 0.0187 | 2 | 4.1324 | 0.0018 | 4.1324 | 2.0328 |
| No log | 0.0374 | 4 | 2.9786 | -0.0193 | 2.9786 | 1.7259 |
| No log | 0.0561 | 6 | 1.8373 | 0.1273 | 1.8373 | 1.3555 |
| No log | 0.0748 | 8 | 1.3982 | 0.0082 | 1.3982 | 1.1825 |
| No log | 0.0935 | 10 | 1.2240 | 0.1140 | 1.2240 | 1.1063 |
| No log | 0.1121 | 12 | 1.1479 | 0.1857 | 1.1479 | 1.0714 |
| No log | 0.1308 | 14 | 1.1280 | 0.1857 | 1.1280 | 1.0621 |
| No log | 0.1495 | 16 | 1.1043 | 0.1875 | 1.1043 | 1.0508 |
| No log | 0.1682 | 18 | 1.0671 | 0.2300 | 1.0671 | 1.0330 |
| No log | 0.1869 | 20 | 1.2814 | 0.2065 | 1.2814 | 1.1320 |
| No log | 0.2056 | 22 | 1.2555 | 0.2015 | 1.2555 | 1.1205 |
| No log | 0.2243 | 24 | 1.0915 | 0.2697 | 1.0915 | 1.0448 |
| No log | 0.2430 | 26 | 1.1210 | 0.2115 | 1.1210 | 1.0588 |
| No log | 0.2617 | 28 | 1.0726 | 0.3090 | 1.0726 | 1.0357 |
| No log | 0.2804 | 30 | 1.1005 | 0.2454 | 1.1005 | 1.0491 |
| No log | 0.2991 | 32 | 1.4587 | 0.2635 | 1.4587 | 1.2078 |
| No log | 0.3178 | 34 | 1.6666 | 0.2519 | 1.6666 | 1.2910 |
| No log | 0.3364 | 36 | 1.1943 | 0.2344 | 1.1943 | 1.0928 |
| No log | 0.3551 | 38 | 1.1555 | 0.3671 | 1.1555 | 1.0750 |
| No log | 0.3738 | 40 | 1.2732 | 0.3496 | 1.2732 | 1.1284 |
| No log | 0.3925 | 42 | 1.0942 | 0.3590 | 1.0942 | 1.0460 |
| No log | 0.4112 | 44 | 1.1496 | 0.2398 | 1.1496 | 1.0722 |
| No log | 0.4299 | 46 | 1.2297 | 0.2270 | 1.2297 | 1.1089 |
| No log | 0.4486 | 48 | 1.0041 | 0.5559 | 1.0041 | 1.0020 |
| No log | 0.4673 | 50 | 1.0135 | 0.4541 | 1.0135 | 1.0067 |
| No log | 0.4860 | 52 | 1.0003 | 0.5356 | 1.0003 | 1.0001 |
| No log | 0.5047 | 54 | 1.0223 | 0.5559 | 1.0223 | 1.0111 |
| No log | 0.5234 | 56 | 1.0017 | 0.5298 | 1.0017 | 1.0009 |
| No log | 0.5421 | 58 | 1.0844 | 0.4670 | 1.0844 | 1.0413 |
| No log | 0.5607 | 60 | 1.1740 | 0.5585 | 1.1740 | 1.0835 |
| No log | 0.5794 | 62 | 1.1596 | 0.5072 | 1.1596 | 1.0768 |
| No log | 0.5981 | 64 | 1.0692 | 0.5 | 1.0692 | 1.0340 |
| No log | 0.6168 | 66 | 1.0940 | 0.4974 | 1.0940 | 1.0459 |
| No log | 0.6355 | 68 | 0.9992 | 0.4716 | 0.9992 | 0.9996 |
| No log | 0.6542 | 70 | 0.9613 | 0.4421 | 0.9613 | 0.9805 |
| No log | 0.6729 | 72 | 0.9095 | 0.4061 | 0.9095 | 0.9537 |
| No log | 0.6916 | 74 | 0.9471 | 0.3947 | 0.9471 | 0.9732 |
| No log | 0.7103 | 76 | 0.9104 | 0.4648 | 0.9104 | 0.9542 |
| No log | 0.7290 | 78 | 0.8937 | 0.4510 | 0.8937 | 0.9454 |
| No log | 0.7477 | 80 | 0.8701 | 0.5702 | 0.8701 | 0.9328 |
| No log | 0.7664 | 82 | 0.9481 | 0.5179 | 0.9481 | 0.9737 |
| No log | 0.7850 | 84 | 1.0435 | 0.5458 | 1.0435 | 1.0215 |
| No log | 0.8037 | 86 | 0.9743 | 0.4848 | 0.9743 | 0.9870 |
| No log | 0.8224 | 88 | 1.1064 | 0.5514 | 1.1064 | 1.0519 |
| No log | 0.8411 | 90 | 1.0641 | 0.5491 | 1.0641 | 1.0316 |
| No log | 0.8598 | 92 | 1.0041 | 0.4996 | 1.0041 | 1.0020 |
| No log | 0.8785 | 94 | 1.1609 | 0.4954 | 1.1609 | 1.0775 |
| No log | 0.8972 | 96 | 1.2288 | 0.4728 | 1.2288 | 1.1085 |
| No log | 0.9159 | 98 | 1.0448 | 0.4760 | 1.0448 | 1.0222 |
| No log | 0.9346 | 100 | 0.9374 | 0.5182 | 0.9374 | 0.9682 |
| No log | 0.9533 | 102 | 1.1021 | 0.4424 | 1.1021 | 1.0498 |
| No log | 0.9720 | 104 | 1.1129 | 0.4432 | 1.1129 | 1.0549 |
| No log | 0.9907 | 106 | 0.8829 | 0.4817 | 0.8829 | 0.9396 |
| No log | 1.0093 | 108 | 0.9592 | 0.5402 | 0.9592 | 0.9794 |
| No log | 1.0280 | 110 | 1.0835 | 0.5308 | 1.0835 | 1.0409 |
| No log | 1.0467 | 112 | 0.9734 | 0.5158 | 0.9734 | 0.9866 |
| No log | 1.0654 | 114 | 0.8974 | 0.5354 | 0.8974 | 0.9473 |
| No log | 1.0841 | 116 | 0.8910 | 0.5432 | 0.8910 | 0.9439 |
| No log | 1.1028 | 118 | 0.9335 | 0.5362 | 0.9335 | 0.9662 |
| No log | 1.1215 | 120 | 1.1412 | 0.4658 | 1.1412 | 1.0683 |
| No log | 1.1402 | 122 | 1.2625 | 0.3633 | 1.2625 | 1.1236 |
| No log | 1.1589 | 124 | 1.1311 | 0.4380 | 1.1311 | 1.0635 |
| No log | 1.1776 | 126 | 0.8989 | 0.4823 | 0.8989 | 0.9481 |
| No log | 1.1963 | 128 | 1.0228 | 0.4191 | 1.0228 | 1.0113 |
| No log | 1.2150 | 130 | 1.1108 | 0.3784 | 1.1108 | 1.0539 |
| No log | 1.2336 | 132 | 0.9623 | 0.4638 | 0.9623 | 0.9810 |
| No log | 1.2523 | 134 | 0.8378 | 0.5729 | 0.8378 | 0.9153 |
| No log | 1.2710 | 136 | 0.8683 | 0.4503 | 0.8683 | 0.9319 |
| No log | 1.2897 | 138 | 1.0159 | 0.4665 | 1.0159 | 1.0079 |
| No log | 1.3084 | 140 | 1.0691 | 0.5002 | 1.0691 | 1.0340 |
| No log | 1.3271 | 142 | 0.9907 | 0.5130 | 0.9907 | 0.9953 |
| No log | 1.3458 | 144 | 0.9913 | 0.5299 | 0.9913 | 0.9956 |
| No log | 1.3645 | 146 | 0.9389 | 0.5455 | 0.9389 | 0.9690 |
| No log | 1.3832 | 148 | 0.8802 | 0.5303 | 0.8802 | 0.9382 |
| No log | 1.4019 | 150 | 0.8714 | 0.5140 | 0.8714 | 0.9335 |
| No log | 1.4206 | 152 | 0.9040 | 0.5126 | 0.9040 | 0.9508 |
| No log | 1.4393 | 154 | 0.9245 | 0.5286 | 0.9245 | 0.9615 |
| No log | 1.4579 | 156 | 0.9449 | 0.5286 | 0.9449 | 0.9720 |
| No log | 1.4766 | 158 | 0.8711 | 0.4837 | 0.8711 | 0.9333 |
| No log | 1.4953 | 160 | 0.8741 | 0.4489 | 0.8741 | 0.9349 |
| No log | 1.5140 | 162 | 0.8575 | 0.4195 | 0.8575 | 0.9260 |
| No log | 1.5327 | 164 | 0.9523 | 0.5431 | 0.9523 | 0.9758 |
| No log | 1.5514 | 166 | 1.0663 | 0.4645 | 1.0663 | 1.0326 |
| No log | 1.5701 | 168 | 0.9782 | 0.4867 | 0.9782 | 0.9890 |
| No log | 1.5888 | 170 | 0.8558 | 0.5498 | 0.8558 | 0.9251 |
| No log | 1.6075 | 172 | 0.8299 | 0.4910 | 0.8299 | 0.9110 |
| No log | 1.6262 | 174 | 0.8694 | 0.4388 | 0.8694 | 0.9324 |
| No log | 1.6449 | 176 | 0.9222 | 0.3924 | 0.9222 | 0.9603 |
| No log | 1.6636 | 178 | 0.9191 | 0.3945 | 0.9191 | 0.9587 |
| No log | 1.6822 | 180 | 1.0713 | 0.5474 | 1.0713 | 1.0350 |
| No log | 1.7009 | 182 | 1.1053 | 0.5493 | 1.1053 | 1.0514 |
| No log | 1.7196 | 184 | 0.9597 | 0.5091 | 0.9597 | 0.9796 |
| No log | 1.7383 | 186 | 0.9027 | 0.4668 | 0.9027 | 0.9501 |
| No log | 1.7570 | 188 | 0.8962 | 0.4764 | 0.8962 | 0.9467 |
| No log | 1.7757 | 190 | 0.8520 | 0.4859 | 0.8520 | 0.9230 |
| No log | 1.7944 | 192 | 0.8374 | 0.4069 | 0.8374 | 0.9151 |
| No log | 1.8131 | 194 | 0.8637 | 0.4998 | 0.8637 | 0.9294 |
| No log | 1.8318 | 196 | 1.0575 | 0.5105 | 1.0575 | 1.0284 |
| No log | 1.8505 | 198 | 1.1165 | 0.4810 | 1.1165 | 1.0567 |
| No log | 1.8692 | 200 | 0.9475 | 0.4921 | 0.9475 | 0.9734 |
| No log | 1.8879 | 202 | 0.8583 | 0.4335 | 0.8583 | 0.9264 |
| No log | 1.9065 | 204 | 0.8680 | 0.4728 | 0.8680 | 0.9317 |
| No log | 1.9252 | 206 | 0.9059 | 0.5515 | 0.9059 | 0.9518 |
| No log | 1.9439 | 208 | 0.9264 | 0.4685 | 0.9264 | 0.9625 |
| No log | 1.9626 | 210 | 1.0017 | 0.4935 | 1.0017 | 1.0009 |
| No log | 1.9813 | 212 | 0.9736 | 0.4935 | 0.9736 | 0.9867 |
| No log | 2.0 | 214 | 0.9167 | 0.4782 | 0.9167 | 0.9575 |
| No log | 2.0187 | 216 | 0.8843 | 0.5102 | 0.8843 | 0.9404 |
| No log | 2.0374 | 218 | 0.8841 | 0.4926 | 0.8841 | 0.9402 |
| No log | 2.0561 | 220 | 0.9079 | 0.4874 | 0.9079 | 0.9528 |
| No log | 2.0748 | 222 | 0.9825 | 0.5256 | 0.9825 | 0.9912 |
| No log | 2.0935 | 224 | 0.9588 | 0.4773 | 0.9588 | 0.9792 |
| No log | 2.1121 | 226 | 0.9238 | 0.3379 | 0.9238 | 0.9611 |
| No log | 2.1308 | 228 | 0.9257 | 0.3130 | 0.9257 | 0.9621 |
| No log | 2.1495 | 230 | 0.9364 | 0.4509 | 0.9364 | 0.9677 |
| No log | 2.1682 | 232 | 1.0019 | 0.5054 | 1.0019 | 1.0009 |
| No log | 2.1869 | 234 | 0.9995 | 0.5054 | 0.9995 | 0.9998 |
| No log | 2.2056 | 236 | 0.9068 | 0.4763 | 0.9068 | 0.9523 |
| No log | 2.2243 | 238 | 0.8679 | 0.4859 | 0.8679 | 0.9316 |
| No log | 2.2430 | 240 | 0.8734 | 0.4835 | 0.8734 | 0.9345 |
| No log | 2.2617 | 242 | 0.9639 | 0.5249 | 0.9639 | 0.9818 |
| No log | 2.2804 | 244 | 1.1116 | 0.4736 | 1.1116 | 1.0543 |
| No log | 2.2991 | 246 | 1.1228 | 0.4979 | 1.1228 | 1.0596 |
| No log | 2.3178 | 248 | 1.0296 | 0.5217 | 1.0296 | 1.0147 |
| No log | 2.3364 | 250 | 0.9507 | 0.5420 | 0.9507 | 0.9751 |
| No log | 2.3551 | 252 | 0.9444 | 0.5263 | 0.9444 | 0.9718 |
| No log | 2.3738 | 254 | 0.8953 | 0.4553 | 0.8953 | 0.9462 |
| No log | 2.3925 | 256 | 0.8565 | 0.4779 | 0.8565 | 0.9255 |
| No log | 2.4112 | 258 | 0.8548 | 0.4656 | 0.8548 | 0.9246 |
| No log | 2.4299 | 260 | 0.8884 | 0.4870 | 0.8884 | 0.9426 |
| No log | 2.4486 | 262 | 0.9674 | 0.5578 | 0.9674 | 0.9835 |
| No log | 2.4673 | 264 | 0.9588 | 0.5430 | 0.9588 | 0.9792 |
| No log | 2.4860 | 266 | 0.9492 | 0.5308 | 0.9492 | 0.9743 |
| No log | 2.5047 | 268 | 0.9429 | 0.5308 | 0.9429 | 0.9711 |
| No log | 2.5234 | 270 | 0.8562 | 0.5121 | 0.8562 | 0.9253 |
| No log | 2.5421 | 272 | 0.8283 | 0.5841 | 0.8283 | 0.9101 |
| No log | 2.5607 | 274 | 0.7993 | 0.5884 | 0.7993 | 0.8940 |
| No log | 2.5794 | 276 | 0.8100 | 0.6009 | 0.8100 | 0.9000 |
| No log | 2.5981 | 278 | 0.8273 | 0.5575 | 0.8273 | 0.9096 |
| No log | 2.6168 | 280 | 0.8330 | 0.4920 | 0.8330 | 0.9127 |
| No log | 2.6355 | 282 | 0.8664 | 0.4604 | 0.8664 | 0.9308 |
| No log | 2.6542 | 284 | 0.9391 | 0.4987 | 0.9391 | 0.9691 |
| No log | 2.6729 | 286 | 0.9678 | 0.5493 | 0.9678 | 0.9838 |
| No log | 2.6916 | 288 | 0.8829 | 0.5210 | 0.8829 | 0.9396 |
| No log | 2.7103 | 290 | 0.8308 | 0.5356 | 0.8308 | 0.9115 |
| No log | 2.7290 | 292 | 0.8150 | 0.5010 | 0.8150 | 0.9028 |
| No log | 2.7477 | 294 | 0.8066 | 0.4499 | 0.8066 | 0.8981 |
| No log | 2.7664 | 296 | 0.8094 | 0.4616 | 0.8094 | 0.8997 |
| No log | 2.7850 | 298 | 0.8116 | 0.5223 | 0.8116 | 0.9009 |
| No log | 2.8037 | 300 | 0.8089 | 0.5316 | 0.8089 | 0.8994 |
| No log | 2.8224 | 302 | 0.8078 | 0.5304 | 0.8078 | 0.8988 |
| No log | 2.8411 | 304 | 0.7935 | 0.5276 | 0.7935 | 0.8908 |
| No log | 2.8598 | 306 | 0.7817 | 0.4772 | 0.7817 | 0.8841 |
| No log | 2.8785 | 308 | 0.7748 | 0.4902 | 0.7748 | 0.8802 |
| No log | 2.8972 | 310 | 0.7786 | 0.5802 | 0.7786 | 0.8824 |
| No log | 2.9159 | 312 | 0.8149 | 0.5601 | 0.8149 | 0.9027 |
| No log | 2.9346 | 314 | 0.9237 | 0.5627 | 0.9237 | 0.9611 |
| No log | 2.9533 | 316 | 0.9322 | 0.5280 | 0.9322 | 0.9655 |
| No log | 2.9720 | 318 | 0.8562 | 0.4593 | 0.8562 | 0.9253 |
| No log | 2.9907 | 320 | 0.8208 | 0.4108 | 0.8208 | 0.9060 |
| No log | 3.0093 | 322 | 0.7929 | 0.4841 | 0.7929 | 0.8905 |
| No log | 3.0280 | 324 | 0.7928 | 0.5197 | 0.7928 | 0.8904 |
| No log | 3.0467 | 326 | 0.8045 | 0.5362 | 0.8045 | 0.8969 |
| No log | 3.0654 | 328 | 0.9661 | 0.5794 | 0.9661 | 0.9829 |
| No log | 3.0841 | 330 | 1.4085 | 0.5311 | 1.4085 | 1.1868 |
| No log | 3.1028 | 332 | 1.5909 | 0.4531 | 1.5909 | 1.2613 |
| No log | 3.1215 | 334 | 1.4706 | 0.4197 | 1.4706 | 1.2127 |
| No log | 3.1402 | 336 | 1.2009 | 0.4968 | 1.2009 | 1.0958 |
| No log | 3.1589 | 338 | 1.0140 | 0.5605 | 1.0140 | 1.0070 |
| No log | 3.1776 | 340 | 0.9072 | 0.5261 | 0.9072 | 0.9525 |
| No log | 3.1963 | 342 | 0.8510 | 0.5264 | 0.8510 | 0.9225 |
| No log | 3.2150 | 344 | 0.8395 | 0.4923 | 0.8395 | 0.9163 |
| No log | 3.2336 | 346 | 0.8485 | 0.5235 | 0.8485 | 0.9212 |
| No log | 3.2523 | 348 | 0.8078 | 0.5038 | 0.8078 | 0.8988 |
| No log | 3.2710 | 350 | 0.7962 | 0.5152 | 0.7962 | 0.8923 |
| No log | 3.2897 | 352 | 0.8123 | 0.5416 | 0.8123 | 0.9013 |
| No log | 3.3084 | 354 | 0.8122 | 0.5114 | 0.8122 | 0.9012 |
| No log | 3.3271 | 356 | 0.8500 | 0.4321 | 0.8500 | 0.9220 |
| No log | 3.3458 | 358 | 0.8884 | 0.4375 | 0.8884 | 0.9425 |
| No log | 3.3645 | 360 | 0.8882 | 0.4608 | 0.8882 | 0.9425 |
| No log | 3.3832 | 362 | 0.9043 | 0.4795 | 0.9043 | 0.9510 |
| No log | 3.4019 | 364 | 0.9514 | 0.5260 | 0.9514 | 0.9754 |
| No log | 3.4206 | 366 | 0.9134 | 0.4938 | 0.9134 | 0.9557 |
| No log | 3.4393 | 368 | 0.9214 | 0.5054 | 0.9214 | 0.9599 |
| No log | 3.4579 | 370 | 0.8789 | 0.5365 | 0.8789 | 0.9375 |
| No log | 3.4766 | 372 | 0.8645 | 0.5028 | 0.8645 | 0.9298 |
| No log | 3.4953 | 374 | 0.9029 | 0.5395 | 0.9029 | 0.9502 |
| No log | 3.5140 | 376 | 0.9215 | 0.5106 | 0.9215 | 0.9599 |
| No log | 3.5327 | 378 | 0.8970 | 0.4614 | 0.8970 | 0.9471 |
| No log | 3.5514 | 380 | 0.8577 | 0.4787 | 0.8577 | 0.9261 |
| No log | 3.5701 | 382 | 0.8620 | 0.5201 | 0.8620 | 0.9284 |
| No log | 3.5888 | 384 | 0.9246 | 0.4834 | 0.9246 | 0.9616 |
| No log | 3.6075 | 386 | 0.9870 | 0.4824 | 0.9870 | 0.9935 |
| No log | 3.6262 | 388 | 0.9216 | 0.4834 | 0.9216 | 0.9600 |
| No log | 3.6449 | 390 | 0.8242 | 0.4363 | 0.8242 | 0.9078 |
| No log | 3.6636 | 392 | 0.8417 | 0.4560 | 0.8417 | 0.9174 |
| No log | 3.6822 | 394 | 0.9691 | 0.4276 | 0.9691 | 0.9844 |
| No log | 3.7009 | 396 | 1.0400 | 0.4355 | 1.0400 | 1.0198 |
| No log | 3.7196 | 398 | 1.0286 | 0.4152 | 1.0286 | 1.0142 |
| No log | 3.7383 | 400 | 0.9769 | 0.4309 | 0.9769 | 0.9884 |
| No log | 3.7570 | 402 | 0.9145 | 0.4166 | 0.9145 | 0.9563 |
| No log | 3.7757 | 404 | 0.8425 | 0.4369 | 0.8425 | 0.9179 |
| No log | 3.7944 | 406 | 0.8528 | 0.4237 | 0.8528 | 0.9235 |
| No log | 3.8131 | 408 | 0.9147 | 0.4545 | 0.9147 | 0.9564 |
| No log | 3.8318 | 410 | 0.9491 | 0.4533 | 0.9491 | 0.9742 |
| No log | 3.8505 | 412 | 0.9815 | 0.4533 | 0.9815 | 0.9907 |
| No log | 3.8692 | 414 | 0.8878 | 0.5028 | 0.8878 | 0.9422 |
| No log | 3.8879 | 416 | 0.8775 | 0.5261 | 0.8775 | 0.9368 |
| No log | 3.9065 | 418 | 0.8421 | 0.4711 | 0.8421 | 0.9176 |
| No log | 3.9252 | 420 | 0.8523 | 0.4720 | 0.8523 | 0.9232 |
| No log | 3.9439 | 422 | 0.8965 | 0.4898 | 0.8965 | 0.9468 |
| No log | 3.9626 | 424 | 0.9273 | 0.4811 | 0.9273 | 0.9629 |
| No log | 3.9813 | 426 | 0.9694 | 0.4167 | 0.9694 | 0.9846 |
| No log | 4.0 | 428 | 0.9411 | 0.3065 | 0.9411 | 0.9701 |
| No log | 4.0187 | 430 | 0.9831 | 0.4339 | 0.9831 | 0.9915 |
| No log | 4.0374 | 432 | 0.9968 | 0.4337 | 0.9968 | 0.9984 |
| No log | 4.0561 | 434 | 1.0225 | 0.4521 | 1.0225 | 1.0112 |
| No log | 4.0748 | 436 | 1.1246 | 0.5206 | 1.1246 | 1.0605 |
| No log | 4.0935 | 438 | 1.0400 | 0.4697 | 1.0400 | 1.0198 |
| No log | 4.1121 | 440 | 0.9246 | 0.4252 | 0.9246 | 0.9616 |
| No log | 4.1308 | 442 | 0.9210 | 0.4453 | 0.9210 | 0.9597 |
| No log | 4.1495 | 444 | 0.9545 | 0.4527 | 0.9545 | 0.9770 |
| No log | 4.1682 | 446 | 0.9575 | 0.4533 | 0.9575 | 0.9785 |
| No log | 4.1869 | 448 | 0.9253 | 0.4539 | 0.9253 | 0.9619 |
| No log | 4.2056 | 450 | 0.8661 | 0.4940 | 0.8661 | 0.9307 |
| No log | 4.2243 | 452 | 0.8290 | 0.4637 | 0.8290 | 0.9105 |
| No log | 4.2430 | 454 | 0.8380 | 0.4808 | 0.8380 | 0.9154 |
| No log | 4.2617 | 456 | 0.9125 | 0.4166 | 0.9125 | 0.9553 |
| No log | 4.2804 | 458 | 0.9688 | 0.3556 | 0.9688 | 0.9843 |
| No log | 4.2991 | 460 | 0.9398 | 0.3465 | 0.9398 | 0.9694 |
| No log | 4.3178 | 462 | 0.9405 | 0.3734 | 0.9405 | 0.9698 |
| No log | 4.3364 | 464 | 0.9618 | 0.4082 | 0.9618 | 0.9807 |
| No log | 4.3551 | 466 | 0.9951 | 0.4083 | 0.9951 | 0.9976 |
| No log | 4.3738 | 468 | 1.0250 | 0.4359 | 1.0250 | 1.0124 |
| No log | 4.3925 | 470 | 0.9957 | 0.4770 | 0.9957 | 0.9979 |
| No log | 4.4112 | 472 | 0.9142 | 0.4623 | 0.9142 | 0.9561 |
| No log | 4.4299 | 474 | 0.8493 | 0.4996 | 0.8493 | 0.9216 |
| No log | 4.4486 | 476 | 0.8341 | 0.5164 | 0.8341 | 0.9133 |
| No log | 4.4673 | 478 | 0.8401 | 0.5164 | 0.8401 | 0.9166 |
| No log | 4.4860 | 480 | 0.8693 | 0.4237 | 0.8693 | 0.9324 |
| No log | 4.5047 | 482 | 0.9137 | 0.4607 | 0.9137 | 0.9559 |
| No log | 4.5234 | 484 | 0.9471 | 0.3590 | 0.9471 | 0.9732 |
| No log | 4.5421 | 486 | 0.9381 | 0.3543 | 0.9381 | 0.9685 |
| No log | 4.5607 | 488 | 0.9303 | 0.3656 | 0.9303 | 0.9645 |
| No log | 4.5794 | 490 | 0.9380 | 0.3897 | 0.9380 | 0.9685 |
| No log | 4.5981 | 492 | 0.9701 | 0.4545 | 0.9701 | 0.9850 |
| No log | 4.6168 | 494 | 0.9737 | 0.4741 | 0.9737 | 0.9867 |
| No log | 4.6355 | 496 | 0.9299 | 0.4946 | 0.9299 | 0.9643 |
| No log | 4.6542 | 498 | 0.8582 | 0.5077 | 0.8582 | 0.9264 |
| 0.337 | 4.6729 | 500 | 0.8413 | 0.5172 | 0.8413 | 0.9172 |
| 0.337 | 4.6916 | 502 | 0.8460 | 0.5106 | 0.8460 | 0.9198 |
| 0.337 | 4.7103 | 504 | 0.8423 | 0.4592 | 0.8423 | 0.9178 |
| 0.337 | 4.7290 | 506 | 0.8415 | 0.4548 | 0.8415 | 0.9173 |
| 0.337 | 4.7477 | 508 | 0.8534 | 0.4804 | 0.8534 | 0.9238 |
| 0.337 | 4.7664 | 510 | 0.8590 | 0.4278 | 0.8590 | 0.9268 |
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_run1_AugV5_k19_task2_organization
Base model
aubmindlab/bert-base-arabertv02