ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k12_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: 0.7857
- Qwk: 0.5360
- Mse: 0.7857
- Rmse: 0.8864
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 | 0.0455 | 2 | 4.5038 | -0.0191 | 4.5038 | 2.1222 |
| No log | 0.0909 | 4 | 2.7599 | -0.0135 | 2.7599 | 1.6613 |
| No log | 0.1364 | 6 | 2.1242 | -0.0370 | 2.1242 | 1.4575 |
| No log | 0.1818 | 8 | 1.5877 | 0.0062 | 1.5877 | 1.2600 |
| No log | 0.2273 | 10 | 1.4014 | 0.0549 | 1.4014 | 1.1838 |
| No log | 0.2727 | 12 | 1.2472 | 0.0811 | 1.2472 | 1.1168 |
| No log | 0.3182 | 14 | 1.4203 | 0.1064 | 1.4203 | 1.1918 |
| No log | 0.3636 | 16 | 1.5551 | 0.1409 | 1.5551 | 1.2470 |
| No log | 0.4091 | 18 | 1.5613 | 0.0833 | 1.5613 | 1.2495 |
| No log | 0.4545 | 20 | 1.7730 | 0.1006 | 1.7730 | 1.3315 |
| No log | 0.5 | 22 | 2.2146 | 0.1166 | 2.2146 | 1.4882 |
| No log | 0.5455 | 24 | 2.0192 | 0.1331 | 2.0192 | 1.4210 |
| No log | 0.5909 | 26 | 1.7222 | 0.1459 | 1.7222 | 1.3123 |
| No log | 0.6364 | 28 | 1.4136 | 0.1418 | 1.4136 | 1.1890 |
| No log | 0.6818 | 30 | 1.2506 | 0.2071 | 1.2506 | 1.1183 |
| No log | 0.7273 | 32 | 1.1978 | 0.1928 | 1.1978 | 1.0944 |
| No log | 0.7727 | 34 | 1.3059 | 0.1570 | 1.3059 | 1.1428 |
| No log | 0.8182 | 36 | 1.5098 | 0.1387 | 1.5098 | 1.2287 |
| No log | 0.8636 | 38 | 1.5091 | 0.1387 | 1.5091 | 1.2284 |
| No log | 0.9091 | 40 | 1.3932 | 0.1899 | 1.3932 | 1.1803 |
| No log | 0.9545 | 42 | 1.2057 | 0.2014 | 1.2057 | 1.0980 |
| No log | 1.0 | 44 | 1.1551 | 0.2054 | 1.1551 | 1.0748 |
| No log | 1.0455 | 46 | 1.2896 | 0.1928 | 1.2896 | 1.1356 |
| No log | 1.0909 | 48 | 1.7425 | 0.2553 | 1.7425 | 1.3200 |
| No log | 1.1364 | 50 | 2.0456 | 0.2352 | 2.0456 | 1.4302 |
| No log | 1.1818 | 52 | 1.9760 | 0.1935 | 1.9760 | 1.4057 |
| No log | 1.2273 | 54 | 1.8440 | 0.1851 | 1.8440 | 1.3579 |
| No log | 1.2727 | 56 | 1.5051 | 0.1522 | 1.5051 | 1.2268 |
| No log | 1.3182 | 58 | 1.1765 | 0.1790 | 1.1765 | 1.0846 |
| No log | 1.3636 | 60 | 1.0585 | 0.3269 | 1.0585 | 1.0288 |
| No log | 1.4091 | 62 | 0.9736 | 0.3814 | 0.9736 | 0.9867 |
| No log | 1.4545 | 64 | 0.9562 | 0.3771 | 0.9562 | 0.9778 |
| No log | 1.5 | 66 | 0.9043 | 0.4220 | 0.9043 | 0.9509 |
| No log | 1.5455 | 68 | 0.9076 | 0.4197 | 0.9076 | 0.9527 |
| No log | 1.5909 | 70 | 1.0027 | 0.3612 | 1.0027 | 1.0014 |
| No log | 1.6364 | 72 | 1.4830 | 0.2863 | 1.4830 | 1.2178 |
| No log | 1.6818 | 74 | 1.8279 | 0.2871 | 1.8279 | 1.3520 |
| No log | 1.7273 | 76 | 1.6993 | 0.3113 | 1.6993 | 1.3036 |
| No log | 1.7727 | 78 | 1.2592 | 0.3135 | 1.2592 | 1.1221 |
| No log | 1.8182 | 80 | 0.9373 | 0.4020 | 0.9373 | 0.9682 |
| No log | 1.8636 | 82 | 0.9295 | 0.4076 | 0.9295 | 0.9641 |
| No log | 1.9091 | 84 | 0.9888 | 0.3447 | 0.9888 | 0.9944 |
| No log | 1.9545 | 86 | 1.1619 | 0.2532 | 1.1619 | 1.0779 |
| No log | 2.0 | 88 | 1.1797 | 0.2532 | 1.1797 | 1.0861 |
| No log | 2.0455 | 90 | 1.0921 | 0.2657 | 1.0921 | 1.0451 |
| No log | 2.0909 | 92 | 0.9485 | 0.3602 | 0.9485 | 0.9739 |
| No log | 2.1364 | 94 | 0.9659 | 0.3996 | 0.9659 | 0.9828 |
| No log | 2.1818 | 96 | 0.9731 | 0.4235 | 0.9731 | 0.9865 |
| No log | 2.2273 | 98 | 1.0914 | 0.2191 | 1.0914 | 1.0447 |
| No log | 2.2727 | 100 | 1.2093 | 0.1884 | 1.2093 | 1.0997 |
| No log | 2.3182 | 102 | 1.0753 | 0.2417 | 1.0753 | 1.0370 |
| No log | 2.3636 | 104 | 0.9421 | 0.4861 | 0.9421 | 0.9706 |
| No log | 2.4091 | 106 | 0.8001 | 0.5203 | 0.8001 | 0.8945 |
| No log | 2.4545 | 108 | 0.7724 | 0.4951 | 0.7724 | 0.8788 |
| No log | 2.5 | 110 | 0.8177 | 0.5167 | 0.8177 | 0.9043 |
| No log | 2.5455 | 112 | 0.8791 | 0.5157 | 0.8791 | 0.9376 |
| No log | 2.5909 | 114 | 0.9749 | 0.3347 | 0.9749 | 0.9874 |
| No log | 2.6364 | 116 | 1.0838 | 0.3044 | 1.0838 | 1.0410 |
| No log | 2.6818 | 118 | 0.9817 | 0.4290 | 0.9817 | 0.9908 |
| No log | 2.7273 | 120 | 0.7032 | 0.5410 | 0.7032 | 0.8386 |
| No log | 2.7727 | 122 | 0.7139 | 0.5543 | 0.7139 | 0.8449 |
| No log | 2.8182 | 124 | 0.7559 | 0.5830 | 0.7559 | 0.8694 |
| No log | 2.8636 | 126 | 0.7975 | 0.5294 | 0.7975 | 0.8930 |
| No log | 2.9091 | 128 | 0.8035 | 0.5683 | 0.8035 | 0.8964 |
| No log | 2.9545 | 130 | 0.8411 | 0.4483 | 0.8411 | 0.9171 |
| No log | 3.0 | 132 | 0.7632 | 0.5684 | 0.7632 | 0.8736 |
| No log | 3.0455 | 134 | 0.8782 | 0.5305 | 0.8782 | 0.9371 |
| No log | 3.0909 | 136 | 0.8608 | 0.5667 | 0.8608 | 0.9278 |
| No log | 3.1364 | 138 | 0.7723 | 0.4947 | 0.7723 | 0.8788 |
| No log | 3.1818 | 140 | 0.7859 | 0.4780 | 0.7859 | 0.8865 |
| No log | 3.2273 | 142 | 0.8613 | 0.4563 | 0.8613 | 0.9281 |
| No log | 3.2727 | 144 | 0.9738 | 0.5081 | 0.9738 | 0.9868 |
| No log | 3.3182 | 146 | 0.8623 | 0.4503 | 0.8623 | 0.9286 |
| No log | 3.3636 | 148 | 0.7801 | 0.5711 | 0.7801 | 0.8832 |
| No log | 3.4091 | 150 | 0.7893 | 0.5974 | 0.7893 | 0.8884 |
| No log | 3.4545 | 152 | 0.7928 | 0.5082 | 0.7928 | 0.8904 |
| No log | 3.5 | 154 | 0.8111 | 0.6015 | 0.8111 | 0.9006 |
| No log | 3.5455 | 156 | 0.7959 | 0.5056 | 0.7959 | 0.8921 |
| No log | 3.5909 | 158 | 0.9206 | 0.4689 | 0.9206 | 0.9595 |
| No log | 3.6364 | 160 | 1.0842 | 0.4653 | 1.0842 | 1.0412 |
| No log | 3.6818 | 162 | 0.9546 | 0.4009 | 0.9546 | 0.9770 |
| No log | 3.7273 | 164 | 0.8350 | 0.3411 | 0.8350 | 0.9138 |
| No log | 3.7727 | 166 | 0.8252 | 0.4571 | 0.8252 | 0.9084 |
| No log | 3.8182 | 168 | 0.8119 | 0.4397 | 0.8119 | 0.9010 |
| No log | 3.8636 | 170 | 0.8154 | 0.4334 | 0.8154 | 0.9030 |
| No log | 3.9091 | 172 | 0.7770 | 0.4860 | 0.7770 | 0.8815 |
| No log | 3.9545 | 174 | 0.7817 | 0.4860 | 0.7817 | 0.8842 |
| No log | 4.0 | 176 | 0.8667 | 0.4039 | 0.8667 | 0.9310 |
| No log | 4.0455 | 178 | 0.9514 | 0.3886 | 0.9514 | 0.9754 |
| No log | 4.0909 | 180 | 0.8377 | 0.4371 | 0.8377 | 0.9152 |
| No log | 4.1364 | 182 | 0.7957 | 0.5337 | 0.7957 | 0.8920 |
| No log | 4.1818 | 184 | 0.9120 | 0.4572 | 0.9120 | 0.9550 |
| No log | 4.2273 | 186 | 0.8732 | 0.4952 | 0.8732 | 0.9345 |
| No log | 4.2727 | 188 | 0.7877 | 0.5079 | 0.7877 | 0.8875 |
| No log | 4.3182 | 190 | 1.0081 | 0.5004 | 1.0081 | 1.0040 |
| No log | 4.3636 | 192 | 1.1891 | 0.4595 | 1.1891 | 1.0905 |
| No log | 4.4091 | 194 | 1.0993 | 0.5028 | 1.0993 | 1.0485 |
| No log | 4.4545 | 196 | 0.8989 | 0.4023 | 0.8989 | 0.9481 |
| No log | 4.5 | 198 | 0.8546 | 0.4 | 0.8546 | 0.9245 |
| No log | 4.5455 | 200 | 0.8604 | 0.3814 | 0.8604 | 0.9276 |
| No log | 4.5909 | 202 | 0.8481 | 0.4220 | 0.8481 | 0.9210 |
| No log | 4.6364 | 204 | 0.8487 | 0.3787 | 0.8487 | 0.9212 |
| No log | 4.6818 | 206 | 0.8555 | 0.3493 | 0.8555 | 0.9249 |
| No log | 4.7273 | 208 | 0.8590 | 0.2942 | 0.8590 | 0.9268 |
| No log | 4.7727 | 210 | 0.8498 | 0.3804 | 0.8498 | 0.9218 |
| No log | 4.8182 | 212 | 0.8285 | 0.3744 | 0.8285 | 0.9102 |
| No log | 4.8636 | 214 | 0.8102 | 0.4498 | 0.8102 | 0.9001 |
| No log | 4.9091 | 216 | 0.8207 | 0.4158 | 0.8207 | 0.9059 |
| No log | 4.9545 | 218 | 0.8514 | 0.3806 | 0.8514 | 0.9227 |
| No log | 5.0 | 220 | 0.8317 | 0.3866 | 0.8317 | 0.9120 |
| No log | 5.0455 | 222 | 0.8075 | 0.4098 | 0.8075 | 0.8986 |
| No log | 5.0909 | 224 | 0.8235 | 0.4861 | 0.8235 | 0.9075 |
| No log | 5.1364 | 226 | 0.9207 | 0.5094 | 0.9207 | 0.9595 |
| No log | 5.1818 | 228 | 0.8300 | 0.4880 | 0.8300 | 0.9110 |
| No log | 5.2273 | 230 | 0.7377 | 0.5234 | 0.7377 | 0.8589 |
| No log | 5.2727 | 232 | 0.7710 | 0.5721 | 0.7710 | 0.8781 |
| No log | 5.3182 | 234 | 0.7379 | 0.5012 | 0.7379 | 0.8590 |
| No log | 5.3636 | 236 | 0.7780 | 0.4606 | 0.7780 | 0.8820 |
| No log | 5.4091 | 238 | 0.9417 | 0.5069 | 0.9417 | 0.9704 |
| No log | 5.4545 | 240 | 0.8936 | 0.4656 | 0.8936 | 0.9453 |
| No log | 5.5 | 242 | 0.7376 | 0.5175 | 0.7376 | 0.8588 |
| No log | 5.5455 | 244 | 0.8322 | 0.5789 | 0.8322 | 0.9123 |
| No log | 5.5909 | 246 | 0.8619 | 0.5665 | 0.8619 | 0.9284 |
| No log | 5.6364 | 248 | 0.7860 | 0.5012 | 0.7860 | 0.8866 |
| No log | 5.6818 | 250 | 0.7784 | 0.4472 | 0.7784 | 0.8823 |
| No log | 5.7273 | 252 | 0.7759 | 0.4712 | 0.7759 | 0.8809 |
| No log | 5.7727 | 254 | 0.7772 | 0.5012 | 0.7772 | 0.8816 |
| No log | 5.8182 | 256 | 0.7829 | 0.6035 | 0.7829 | 0.8848 |
| No log | 5.8636 | 258 | 0.7619 | 0.5748 | 0.7619 | 0.8729 |
| No log | 5.9091 | 260 | 0.7714 | 0.4158 | 0.7714 | 0.8783 |
| No log | 5.9545 | 262 | 0.7991 | 0.4681 | 0.7991 | 0.8940 |
| No log | 6.0 | 264 | 0.7511 | 0.4817 | 0.7511 | 0.8666 |
| No log | 6.0455 | 266 | 0.7936 | 0.5442 | 0.7936 | 0.8908 |
| No log | 6.0909 | 268 | 0.8282 | 0.4700 | 0.8282 | 0.9101 |
| No log | 6.1364 | 270 | 0.7461 | 0.6035 | 0.7461 | 0.8638 |
| No log | 6.1818 | 272 | 0.7276 | 0.5735 | 0.7276 | 0.8530 |
| No log | 6.2273 | 274 | 0.7515 | 0.5195 | 0.7515 | 0.8669 |
| No log | 6.2727 | 276 | 0.7763 | 0.5079 | 0.7763 | 0.8811 |
| No log | 6.3182 | 278 | 0.8199 | 0.4401 | 0.8199 | 0.9055 |
| No log | 6.3636 | 280 | 0.8711 | 0.4347 | 0.8711 | 0.9333 |
| No log | 6.4091 | 282 | 0.8268 | 0.4797 | 0.8268 | 0.9093 |
| No log | 6.4545 | 284 | 0.7954 | 0.4286 | 0.7954 | 0.8918 |
| No log | 6.5 | 286 | 0.7950 | 0.4769 | 0.7950 | 0.8916 |
| No log | 6.5455 | 288 | 0.7735 | 0.5046 | 0.7735 | 0.8795 |
| No log | 6.5909 | 290 | 0.7769 | 0.5061 | 0.7769 | 0.8814 |
| No log | 6.6364 | 292 | 0.7725 | 0.5505 | 0.7725 | 0.8789 |
| No log | 6.6818 | 294 | 0.7665 | 0.5606 | 0.7665 | 0.8755 |
| No log | 6.7273 | 296 | 0.7946 | 0.4100 | 0.7946 | 0.8914 |
| No log | 6.7727 | 298 | 0.8530 | 0.4347 | 0.8530 | 0.9236 |
| No log | 6.8182 | 300 | 0.8267 | 0.4054 | 0.8267 | 0.9093 |
| No log | 6.8636 | 302 | 0.7797 | 0.5502 | 0.7797 | 0.8830 |
| No log | 6.9091 | 304 | 0.7737 | 0.6043 | 0.7737 | 0.8796 |
| No log | 6.9545 | 306 | 0.7690 | 0.5163 | 0.7690 | 0.8769 |
| No log | 7.0 | 308 | 0.7669 | 0.5061 | 0.7669 | 0.8757 |
| No log | 7.0455 | 310 | 0.7528 | 0.5831 | 0.7528 | 0.8677 |
| No log | 7.0909 | 312 | 0.7650 | 0.5312 | 0.7650 | 0.8746 |
| No log | 7.1364 | 314 | 0.8490 | 0.4530 | 0.8490 | 0.9214 |
| No log | 7.1818 | 316 | 0.8395 | 0.4713 | 0.8395 | 0.9162 |
| No log | 7.2273 | 318 | 0.7809 | 0.4563 | 0.7809 | 0.8837 |
| No log | 7.2727 | 320 | 0.7711 | 0.5009 | 0.7711 | 0.8781 |
| No log | 7.3182 | 322 | 0.7848 | 0.4563 | 0.7848 | 0.8859 |
| No log | 7.3636 | 324 | 0.7688 | 0.5305 | 0.7688 | 0.8768 |
| No log | 7.4091 | 326 | 0.7685 | 0.5305 | 0.7685 | 0.8766 |
| No log | 7.4545 | 328 | 0.8046 | 0.4471 | 0.8046 | 0.8970 |
| No log | 7.5 | 330 | 0.8052 | 0.4137 | 0.8052 | 0.8973 |
| No log | 7.5455 | 332 | 0.7724 | 0.5061 | 0.7724 | 0.8788 |
| No log | 7.5909 | 334 | 0.7692 | 0.5163 | 0.7692 | 0.8771 |
| No log | 7.6364 | 336 | 0.7897 | 0.5205 | 0.7897 | 0.8886 |
| No log | 7.6818 | 338 | 0.9643 | 0.4020 | 0.9643 | 0.9820 |
| No log | 7.7273 | 340 | 1.0974 | 0.4027 | 1.0974 | 1.0476 |
| No log | 7.7727 | 342 | 1.0227 | 0.2937 | 1.0227 | 1.0113 |
| No log | 7.8182 | 344 | 0.9661 | 0.3790 | 0.9661 | 0.9829 |
| No log | 7.8636 | 346 | 0.9079 | 0.3441 | 0.9079 | 0.9529 |
| No log | 7.9091 | 348 | 0.8859 | 0.3615 | 0.8859 | 0.9412 |
| No log | 7.9545 | 350 | 0.8665 | 0.3513 | 0.8665 | 0.9309 |
| No log | 8.0 | 352 | 0.8658 | 0.3418 | 0.8658 | 0.9305 |
| No log | 8.0455 | 354 | 0.8383 | 0.4078 | 0.8383 | 0.9156 |
| No log | 8.0909 | 356 | 0.7854 | 0.4563 | 0.7854 | 0.8862 |
| No log | 8.1364 | 358 | 0.7412 | 0.5634 | 0.7412 | 0.8609 |
| No log | 8.1818 | 360 | 0.7554 | 0.5548 | 0.7554 | 0.8691 |
| No log | 8.2273 | 362 | 0.7683 | 0.5472 | 0.7683 | 0.8765 |
| No log | 8.2727 | 364 | 0.7739 | 0.4839 | 0.7739 | 0.8797 |
| No log | 8.3182 | 366 | 0.8716 | 0.4116 | 0.8716 | 0.9336 |
| No log | 8.3636 | 368 | 0.9322 | 0.3601 | 0.9322 | 0.9655 |
| No log | 8.4091 | 370 | 0.8444 | 0.4344 | 0.8444 | 0.9189 |
| No log | 8.4545 | 372 | 0.7465 | 0.5534 | 0.7465 | 0.8640 |
| No log | 8.5 | 374 | 0.7811 | 0.5495 | 0.7811 | 0.8838 |
| No log | 8.5455 | 376 | 0.8309 | 0.5414 | 0.8309 | 0.9115 |
| No log | 8.5909 | 378 | 0.7844 | 0.6108 | 0.7844 | 0.8856 |
| No log | 8.6364 | 380 | 0.7527 | 0.5093 | 0.7527 | 0.8676 |
| No log | 8.6818 | 382 | 0.7950 | 0.4500 | 0.7950 | 0.8916 |
| No log | 8.7273 | 384 | 0.7783 | 0.4570 | 0.7783 | 0.8822 |
| No log | 8.7727 | 386 | 0.7851 | 0.4942 | 0.7851 | 0.8860 |
| No log | 8.8182 | 388 | 0.8036 | 0.5949 | 0.8036 | 0.8964 |
| No log | 8.8636 | 390 | 0.7985 | 0.5393 | 0.7985 | 0.8936 |
| No log | 8.9091 | 392 | 0.7923 | 0.4534 | 0.7923 | 0.8901 |
| No log | 8.9545 | 394 | 0.7836 | 0.4730 | 0.7836 | 0.8852 |
| No log | 9.0 | 396 | 0.7659 | 0.4529 | 0.7659 | 0.8752 |
| No log | 9.0455 | 398 | 0.7654 | 0.4785 | 0.7654 | 0.8749 |
| No log | 9.0909 | 400 | 0.7213 | 0.5470 | 0.7213 | 0.8493 |
| No log | 9.1364 | 402 | 0.7093 | 0.6059 | 0.7093 | 0.8422 |
| No log | 9.1818 | 404 | 0.7502 | 0.5521 | 0.7502 | 0.8661 |
| No log | 9.2273 | 406 | 0.7958 | 0.5473 | 0.7958 | 0.8921 |
| No log | 9.2727 | 408 | 0.7633 | 0.6121 | 0.7633 | 0.8737 |
| No log | 9.3182 | 410 | 0.7595 | 0.5505 | 0.7595 | 0.8715 |
| No log | 9.3636 | 412 | 0.7935 | 0.4054 | 0.7935 | 0.8908 |
| No log | 9.4091 | 414 | 0.8113 | 0.4051 | 0.8113 | 0.9007 |
| No log | 9.4545 | 416 | 0.8048 | 0.4157 | 0.8048 | 0.8971 |
| No log | 9.5 | 418 | 0.7978 | 0.4588 | 0.7978 | 0.8932 |
| No log | 9.5455 | 420 | 0.8047 | 0.5292 | 0.8047 | 0.8970 |
| No log | 9.5909 | 422 | 0.7741 | 0.6035 | 0.7741 | 0.8799 |
| No log | 9.6364 | 424 | 0.7394 | 0.6043 | 0.7394 | 0.8599 |
| No log | 9.6818 | 426 | 0.7363 | 0.5215 | 0.7363 | 0.8581 |
| No log | 9.7273 | 428 | 0.7593 | 0.4299 | 0.7593 | 0.8714 |
| No log | 9.7727 | 430 | 0.7444 | 0.4748 | 0.7444 | 0.8628 |
| No log | 9.8182 | 432 | 0.7598 | 0.4371 | 0.7598 | 0.8716 |
| No log | 9.8636 | 434 | 0.7721 | 0.4540 | 0.7721 | 0.8787 |
| No log | 9.9091 | 436 | 0.7827 | 0.5361 | 0.7827 | 0.8847 |
| No log | 9.9545 | 438 | 0.7461 | 0.5739 | 0.7461 | 0.8638 |
| No log | 10.0 | 440 | 0.7241 | 0.4671 | 0.7241 | 0.8510 |
| No log | 10.0455 | 442 | 0.7288 | 0.4570 | 0.7288 | 0.8537 |
| No log | 10.0909 | 444 | 0.7203 | 0.6144 | 0.7203 | 0.8487 |
| No log | 10.1364 | 446 | 0.7384 | 0.5957 | 0.7384 | 0.8593 |
| No log | 10.1818 | 448 | 0.7696 | 0.5112 | 0.7696 | 0.8772 |
| No log | 10.2273 | 450 | 0.8120 | 0.4645 | 0.8120 | 0.9011 |
| No log | 10.2727 | 452 | 0.8532 | 0.4237 | 0.8532 | 0.9237 |
| No log | 10.3182 | 454 | 0.8775 | 0.4237 | 0.8775 | 0.9367 |
| No log | 10.3636 | 456 | 0.8669 | 0.4051 | 0.8669 | 0.9311 |
| No log | 10.4091 | 458 | 0.8116 | 0.4157 | 0.8116 | 0.9009 |
| No log | 10.4545 | 460 | 0.7533 | 0.5429 | 0.7533 | 0.8680 |
| No log | 10.5 | 462 | 0.7368 | 0.4993 | 0.7368 | 0.8584 |
| No log | 10.5455 | 464 | 0.7597 | 0.4465 | 0.7597 | 0.8716 |
| No log | 10.5909 | 466 | 0.7394 | 0.5236 | 0.7394 | 0.8599 |
| No log | 10.6364 | 468 | 0.7274 | 0.5966 | 0.7274 | 0.8529 |
| No log | 10.6818 | 470 | 0.7349 | 0.5940 | 0.7349 | 0.8573 |
| No log | 10.7273 | 472 | 0.7299 | 0.5871 | 0.7299 | 0.8544 |
| No log | 10.7727 | 474 | 0.7408 | 0.4772 | 0.7408 | 0.8607 |
| No log | 10.8182 | 476 | 0.7772 | 0.4741 | 0.7772 | 0.8816 |
| No log | 10.8636 | 478 | 0.7609 | 0.4841 | 0.7609 | 0.8723 |
| No log | 10.9091 | 480 | 0.7166 | 0.5357 | 0.7166 | 0.8465 |
| No log | 10.9545 | 482 | 0.7159 | 0.5898 | 0.7159 | 0.8461 |
| No log | 11.0 | 484 | 0.7309 | 0.6039 | 0.7309 | 0.8549 |
| No log | 11.0455 | 486 | 0.7318 | 0.5485 | 0.7318 | 0.8555 |
| No log | 11.0909 | 488 | 0.7304 | 0.4923 | 0.7304 | 0.8546 |
| No log | 11.1364 | 490 | 0.7384 | 0.4444 | 0.7384 | 0.8593 |
| No log | 11.1818 | 492 | 0.7386 | 0.5027 | 0.7386 | 0.8594 |
| No log | 11.2273 | 494 | 0.7435 | 0.5131 | 0.7435 | 0.8623 |
| No log | 11.2727 | 496 | 0.7616 | 0.5335 | 0.7616 | 0.8727 |
| No log | 11.3182 | 498 | 0.7493 | 0.5027 | 0.7493 | 0.8656 |
| 0.3122 | 11.3636 | 500 | 0.7342 | 0.5561 | 0.7342 | 0.8568 |
| 0.3122 | 11.4091 | 502 | 0.7392 | 0.6196 | 0.7392 | 0.8598 |
| 0.3122 | 11.4545 | 504 | 0.7476 | 0.6068 | 0.7476 | 0.8647 |
| 0.3122 | 11.5 | 506 | 0.7452 | 0.5532 | 0.7452 | 0.8633 |
| 0.3122 | 11.5455 | 508 | 0.7746 | 0.5125 | 0.7746 | 0.8801 |
| 0.3122 | 11.5909 | 510 | 0.8041 | 0.4175 | 0.8041 | 0.8967 |
| 0.3122 | 11.6364 | 512 | 0.8144 | 0.4383 | 0.8144 | 0.9025 |
| 0.3122 | 11.6818 | 514 | 0.7857 | 0.5360 | 0.7857 | 0.8864 |
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_usingALLEssays_FineTuningAraBERT_run1_AugV5_k12_task2_organization
Base model
aubmindlab/bert-base-arabertv02