ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k19_task5_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: 1.0566
- Qwk: 0.5878
- Mse: 1.0566
- Rmse: 1.0279
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0317 | 2 | 2.3308 | -0.0139 | 2.3308 | 1.5267 |
| No log | 0.0635 | 4 | 1.5119 | 0.1162 | 1.5119 | 1.2296 |
| No log | 0.0952 | 6 | 1.6121 | 0.1430 | 1.6121 | 1.2697 |
| No log | 0.1270 | 8 | 1.7649 | 0.2135 | 1.7649 | 1.3285 |
| No log | 0.1587 | 10 | 1.8650 | 0.1893 | 1.8650 | 1.3657 |
| No log | 0.1905 | 12 | 2.0627 | 0.2403 | 2.0627 | 1.4362 |
| No log | 0.2222 | 14 | 2.1341 | 0.2175 | 2.1341 | 1.4608 |
| No log | 0.2540 | 16 | 2.0747 | 0.2190 | 2.0747 | 1.4404 |
| No log | 0.2857 | 18 | 1.7800 | 0.0915 | 1.7800 | 1.3342 |
| No log | 0.3175 | 20 | 1.7933 | 0.0662 | 1.7933 | 1.3391 |
| No log | 0.3492 | 22 | 1.9504 | 0.1569 | 1.9504 | 1.3966 |
| No log | 0.3810 | 24 | 1.9907 | 0.2533 | 1.9907 | 1.4109 |
| No log | 0.4127 | 26 | 1.9181 | 0.2529 | 1.9181 | 1.3850 |
| No log | 0.4444 | 28 | 1.7901 | 0.2512 | 1.7901 | 1.3380 |
| No log | 0.4762 | 30 | 1.7047 | 0.2533 | 1.7047 | 1.3056 |
| No log | 0.5079 | 32 | 1.6162 | 0.2156 | 1.6162 | 1.2713 |
| No log | 0.5397 | 34 | 1.5336 | 0.1827 | 1.5336 | 1.2384 |
| No log | 0.5714 | 36 | 1.5339 | 0.1980 | 1.5339 | 1.2385 |
| No log | 0.6032 | 38 | 1.6552 | 0.2874 | 1.6552 | 1.2866 |
| No log | 0.6349 | 40 | 1.7783 | 0.3481 | 1.7783 | 1.3335 |
| No log | 0.6667 | 42 | 1.6888 | 0.3520 | 1.6888 | 1.2995 |
| No log | 0.6984 | 44 | 1.5747 | 0.3006 | 1.5747 | 1.2549 |
| No log | 0.7302 | 46 | 1.5975 | 0.2766 | 1.5975 | 1.2639 |
| No log | 0.7619 | 48 | 1.6868 | 0.3382 | 1.6868 | 1.2988 |
| No log | 0.7937 | 50 | 1.7725 | 0.3364 | 1.7725 | 1.3314 |
| No log | 0.8254 | 52 | 1.6702 | 0.3225 | 1.6702 | 1.2924 |
| No log | 0.8571 | 54 | 1.7492 | 0.3228 | 1.7492 | 1.3226 |
| No log | 0.8889 | 56 | 2.0355 | 0.2872 | 2.0355 | 1.4267 |
| No log | 0.9206 | 58 | 2.4540 | 0.1974 | 2.4540 | 1.5665 |
| No log | 0.9524 | 60 | 2.7445 | 0.2067 | 2.7445 | 1.6566 |
| No log | 0.9841 | 62 | 2.6250 | 0.2917 | 2.6250 | 1.6202 |
| No log | 1.0159 | 64 | 2.0564 | 0.3260 | 2.0564 | 1.4340 |
| No log | 1.0476 | 66 | 1.8504 | 0.3412 | 1.8504 | 1.3603 |
| No log | 1.0794 | 68 | 1.7802 | 0.3412 | 1.7802 | 1.3343 |
| No log | 1.1111 | 70 | 2.1390 | 0.3611 | 2.1390 | 1.4625 |
| No log | 1.1429 | 72 | 2.1681 | 0.3431 | 2.1681 | 1.4724 |
| No log | 1.1746 | 74 | 2.0890 | 0.3007 | 2.0890 | 1.4453 |
| No log | 1.2063 | 76 | 1.8879 | 0.3888 | 1.8879 | 1.3740 |
| No log | 1.2381 | 78 | 1.8477 | 0.3887 | 1.8477 | 1.3593 |
| No log | 1.2698 | 80 | 1.7163 | 0.4082 | 1.7163 | 1.3101 |
| No log | 1.3016 | 82 | 1.5149 | 0.4831 | 1.5149 | 1.2308 |
| No log | 1.3333 | 84 | 1.9047 | 0.3787 | 1.9047 | 1.3801 |
| No log | 1.3651 | 86 | 2.5995 | 0.3659 | 2.5995 | 1.6123 |
| No log | 1.3968 | 88 | 2.4274 | 0.3784 | 2.4274 | 1.5580 |
| No log | 1.4286 | 90 | 1.8433 | 0.3975 | 1.8433 | 1.3577 |
| No log | 1.4603 | 92 | 1.9396 | 0.3690 | 1.9396 | 1.3927 |
| No log | 1.4921 | 94 | 2.2761 | 0.3203 | 2.2761 | 1.5087 |
| No log | 1.5238 | 96 | 2.1952 | 0.3477 | 2.1952 | 1.4816 |
| No log | 1.5556 | 98 | 1.6676 | 0.4187 | 1.6676 | 1.2913 |
| No log | 1.5873 | 100 | 1.2711 | 0.4955 | 1.2711 | 1.1274 |
| No log | 1.6190 | 102 | 1.3895 | 0.4668 | 1.3895 | 1.1788 |
| No log | 1.6508 | 104 | 2.0744 | 0.4186 | 2.0744 | 1.4403 |
| No log | 1.6825 | 106 | 2.5721 | 0.3838 | 2.5721 | 1.6038 |
| No log | 1.7143 | 108 | 2.0804 | 0.4196 | 2.0804 | 1.4424 |
| No log | 1.7460 | 110 | 1.4056 | 0.4763 | 1.4056 | 1.1856 |
| No log | 1.7778 | 112 | 1.3052 | 0.5028 | 1.3052 | 1.1425 |
| No log | 1.8095 | 114 | 1.5751 | 0.4695 | 1.5751 | 1.2550 |
| No log | 1.8413 | 116 | 1.9955 | 0.4079 | 1.9955 | 1.4126 |
| No log | 1.8730 | 118 | 1.7613 | 0.4418 | 1.7613 | 1.3271 |
| No log | 1.9048 | 120 | 1.4028 | 0.4728 | 1.4028 | 1.1844 |
| No log | 1.9365 | 122 | 1.1595 | 0.5478 | 1.1595 | 1.0768 |
| No log | 1.9683 | 124 | 1.1638 | 0.5469 | 1.1638 | 1.0788 |
| No log | 2.0 | 126 | 1.3473 | 0.5224 | 1.3473 | 1.1607 |
| No log | 2.0317 | 128 | 2.0135 | 0.4593 | 2.0135 | 1.4190 |
| No log | 2.0635 | 130 | 2.3032 | 0.4287 | 2.3032 | 1.5176 |
| No log | 2.0952 | 132 | 2.2111 | 0.4430 | 2.2111 | 1.4870 |
| No log | 2.1270 | 134 | 1.5030 | 0.5171 | 1.5030 | 1.2260 |
| No log | 2.1587 | 136 | 1.1348 | 0.5629 | 1.1348 | 1.0653 |
| No log | 2.1905 | 138 | 1.2466 | 0.5738 | 1.2466 | 1.1165 |
| No log | 2.2222 | 140 | 1.7724 | 0.4774 | 1.7724 | 1.3313 |
| No log | 2.2540 | 142 | 2.1024 | 0.4329 | 2.1024 | 1.4500 |
| No log | 2.2857 | 144 | 1.8525 | 0.4435 | 1.8525 | 1.3611 |
| No log | 2.3175 | 146 | 1.5042 | 0.4670 | 1.5042 | 1.2264 |
| No log | 2.3492 | 148 | 1.5734 | 0.4908 | 1.5734 | 1.2544 |
| No log | 2.3810 | 150 | 1.7671 | 0.4865 | 1.7671 | 1.3293 |
| No log | 2.4127 | 152 | 1.4688 | 0.5449 | 1.4688 | 1.2119 |
| No log | 2.4444 | 154 | 1.1739 | 0.5937 | 1.1739 | 1.0834 |
| No log | 2.4762 | 156 | 1.2187 | 0.5728 | 1.2187 | 1.1040 |
| No log | 2.5079 | 158 | 1.5362 | 0.5088 | 1.5362 | 1.2394 |
| No log | 2.5397 | 160 | 1.5603 | 0.4616 | 1.5603 | 1.2491 |
| No log | 2.5714 | 162 | 1.4048 | 0.4770 | 1.4048 | 1.1853 |
| No log | 2.6032 | 164 | 1.1954 | 0.5602 | 1.1954 | 1.0933 |
| No log | 2.6349 | 166 | 0.9731 | 0.5748 | 0.9731 | 0.9864 |
| No log | 2.6667 | 168 | 0.9573 | 0.6021 | 0.9573 | 0.9784 |
| No log | 2.6984 | 170 | 1.0492 | 0.6174 | 1.0492 | 1.0243 |
| No log | 2.7302 | 172 | 1.1922 | 0.5454 | 1.1922 | 1.0919 |
| No log | 2.7619 | 174 | 1.1385 | 0.5942 | 1.1385 | 1.0670 |
| No log | 2.7937 | 176 | 1.2293 | 0.5570 | 1.2293 | 1.1088 |
| No log | 2.8254 | 178 | 1.2014 | 0.5802 | 1.2014 | 1.0961 |
| No log | 2.8571 | 180 | 1.0694 | 0.6077 | 1.0694 | 1.0341 |
| No log | 2.8889 | 182 | 1.0010 | 0.6107 | 1.0010 | 1.0005 |
| No log | 2.9206 | 184 | 1.1383 | 0.5960 | 1.1383 | 1.0669 |
| No log | 2.9524 | 186 | 1.2935 | 0.5844 | 1.2935 | 1.1373 |
| No log | 2.9841 | 188 | 1.3557 | 0.5720 | 1.3557 | 1.1643 |
| No log | 3.0159 | 190 | 1.3004 | 0.5932 | 1.3004 | 1.1403 |
| No log | 3.0476 | 192 | 1.0620 | 0.6246 | 1.0620 | 1.0305 |
| No log | 3.0794 | 194 | 0.9945 | 0.6099 | 0.9945 | 0.9973 |
| No log | 3.1111 | 196 | 1.1718 | 0.6137 | 1.1718 | 1.0825 |
| No log | 3.1429 | 198 | 1.2394 | 0.6051 | 1.2394 | 1.1133 |
| No log | 3.1746 | 200 | 1.3279 | 0.5507 | 1.3279 | 1.1523 |
| No log | 3.2063 | 202 | 1.3213 | 0.5406 | 1.3213 | 1.1495 |
| No log | 3.2381 | 204 | 1.2866 | 0.5597 | 1.2866 | 1.1343 |
| No log | 3.2698 | 206 | 1.5438 | 0.5130 | 1.5438 | 1.2425 |
| No log | 3.3016 | 208 | 1.7417 | 0.4707 | 1.7417 | 1.3197 |
| No log | 3.3333 | 210 | 1.4692 | 0.5523 | 1.4692 | 1.2121 |
| No log | 3.3651 | 212 | 1.0212 | 0.6248 | 1.0212 | 1.0105 |
| No log | 3.3968 | 214 | 0.8943 | 0.6466 | 0.8943 | 0.9457 |
| No log | 3.4286 | 216 | 0.9852 | 0.6286 | 0.9852 | 0.9926 |
| No log | 3.4603 | 218 | 1.1680 | 0.5918 | 1.1680 | 1.0807 |
| No log | 3.4921 | 220 | 1.2455 | 0.5666 | 1.2455 | 1.1160 |
| No log | 3.5238 | 222 | 1.1508 | 0.5803 | 1.1508 | 1.0727 |
| No log | 3.5556 | 224 | 0.9078 | 0.5909 | 0.9078 | 0.9528 |
| No log | 3.5873 | 226 | 0.8644 | 0.5879 | 0.8644 | 0.9297 |
| No log | 3.6190 | 228 | 1.0624 | 0.5935 | 1.0624 | 1.0307 |
| No log | 3.6508 | 230 | 1.5254 | 0.5026 | 1.5254 | 1.2351 |
| No log | 3.6825 | 232 | 1.8052 | 0.4748 | 1.8052 | 1.3436 |
| No log | 3.7143 | 234 | 1.6605 | 0.4872 | 1.6605 | 1.2886 |
| No log | 3.7460 | 236 | 1.2553 | 0.5739 | 1.2553 | 1.1204 |
| No log | 3.7778 | 238 | 1.0288 | 0.5874 | 1.0288 | 1.0143 |
| No log | 3.8095 | 240 | 1.0420 | 0.5850 | 1.0420 | 1.0208 |
| No log | 3.8413 | 242 | 1.2863 | 0.5560 | 1.2863 | 1.1341 |
| No log | 3.8730 | 244 | 1.5761 | 0.5032 | 1.5761 | 1.2554 |
| No log | 3.9048 | 246 | 1.5424 | 0.5032 | 1.5424 | 1.2419 |
| No log | 3.9365 | 248 | 1.3581 | 0.5167 | 1.3581 | 1.1654 |
| No log | 3.9683 | 250 | 1.0776 | 0.5495 | 1.0776 | 1.0381 |
| No log | 4.0 | 252 | 0.9961 | 0.6308 | 0.9961 | 0.9981 |
| No log | 4.0317 | 254 | 1.0517 | 0.5564 | 1.0517 | 1.0255 |
| No log | 4.0635 | 256 | 1.1993 | 0.5320 | 1.1993 | 1.0951 |
| No log | 4.0952 | 258 | 1.3737 | 0.5036 | 1.3737 | 1.1720 |
| No log | 4.1270 | 260 | 1.5101 | 0.5030 | 1.5101 | 1.2289 |
| No log | 4.1587 | 262 | 1.3810 | 0.5324 | 1.3810 | 1.1752 |
| No log | 4.1905 | 264 | 1.0768 | 0.5947 | 1.0768 | 1.0377 |
| No log | 4.2222 | 266 | 0.9773 | 0.6233 | 0.9773 | 0.9886 |
| No log | 4.2540 | 268 | 1.0685 | 0.5891 | 1.0685 | 1.0337 |
| No log | 4.2857 | 270 | 1.1454 | 0.5939 | 1.1454 | 1.0702 |
| No log | 4.3175 | 272 | 1.2576 | 0.5897 | 1.2576 | 1.1214 |
| No log | 4.3492 | 274 | 1.2039 | 0.5628 | 1.2039 | 1.0972 |
| No log | 4.3810 | 276 | 1.1531 | 0.5714 | 1.1531 | 1.0738 |
| No log | 4.4127 | 278 | 1.0289 | 0.5792 | 1.0289 | 1.0144 |
| No log | 4.4444 | 280 | 0.9186 | 0.5568 | 0.9186 | 0.9584 |
| No log | 4.4762 | 282 | 0.9436 | 0.5757 | 0.9436 | 0.9714 |
| No log | 4.5079 | 284 | 0.9757 | 0.5895 | 0.9757 | 0.9878 |
| No log | 4.5397 | 286 | 1.0834 | 0.6009 | 1.0834 | 1.0409 |
| No log | 4.5714 | 288 | 1.0389 | 0.6082 | 1.0389 | 1.0193 |
| No log | 4.6032 | 290 | 0.9117 | 0.6224 | 0.9117 | 0.9548 |
| No log | 4.6349 | 292 | 0.9118 | 0.6354 | 0.9118 | 0.9549 |
| No log | 4.6667 | 294 | 1.0525 | 0.6022 | 1.0525 | 1.0259 |
| No log | 4.6984 | 296 | 1.2048 | 0.6033 | 1.2048 | 1.0976 |
| No log | 4.7302 | 298 | 1.1777 | 0.6013 | 1.1777 | 1.0852 |
| No log | 4.7619 | 300 | 1.1305 | 0.6170 | 1.1305 | 1.0632 |
| No log | 4.7937 | 302 | 1.0754 | 0.6090 | 1.0754 | 1.0370 |
| No log | 4.8254 | 304 | 0.9446 | 0.6400 | 0.9446 | 0.9719 |
| No log | 4.8571 | 306 | 0.9263 | 0.6172 | 0.9263 | 0.9624 |
| No log | 4.8889 | 308 | 1.0028 | 0.6092 | 1.0028 | 1.0014 |
| No log | 4.9206 | 310 | 1.0487 | 0.6079 | 1.0487 | 1.0241 |
| No log | 4.9524 | 312 | 1.1778 | 0.5645 | 1.1778 | 1.0853 |
| No log | 4.9841 | 314 | 1.1804 | 0.5778 | 1.1804 | 1.0865 |
| No log | 5.0159 | 316 | 1.0811 | 0.6022 | 1.0811 | 1.0398 |
| No log | 5.0476 | 318 | 0.9564 | 0.5893 | 0.9564 | 0.9780 |
| No log | 5.0794 | 320 | 0.9525 | 0.5940 | 0.9525 | 0.9760 |
| No log | 5.1111 | 322 | 1.0659 | 0.5893 | 1.0659 | 1.0324 |
| No log | 5.1429 | 324 | 1.1713 | 0.5651 | 1.1713 | 1.0823 |
| No log | 5.1746 | 326 | 1.1318 | 0.5552 | 1.1318 | 1.0639 |
| No log | 5.2063 | 328 | 1.0038 | 0.5953 | 1.0038 | 1.0019 |
| No log | 5.2381 | 330 | 1.0010 | 0.6070 | 1.0010 | 1.0005 |
| No log | 5.2698 | 332 | 1.1418 | 0.5736 | 1.1418 | 1.0686 |
| No log | 5.3016 | 334 | 1.2135 | 0.5767 | 1.2135 | 1.1016 |
| No log | 5.3333 | 336 | 1.1123 | 0.5884 | 1.1123 | 1.0546 |
| No log | 5.3651 | 338 | 0.9606 | 0.6011 | 0.9606 | 0.9801 |
| No log | 5.3968 | 340 | 0.8523 | 0.6575 | 0.8523 | 0.9232 |
| No log | 5.4286 | 342 | 0.8629 | 0.6445 | 0.8629 | 0.9289 |
| No log | 5.4603 | 344 | 0.9714 | 0.5975 | 0.9714 | 0.9856 |
| No log | 5.4921 | 346 | 1.1311 | 0.5769 | 1.1311 | 1.0635 |
| No log | 5.5238 | 348 | 1.3275 | 0.5470 | 1.3275 | 1.1522 |
| No log | 5.5556 | 350 | 1.3024 | 0.5580 | 1.3024 | 1.1412 |
| No log | 5.5873 | 352 | 1.1195 | 0.5758 | 1.1195 | 1.0581 |
| No log | 5.6190 | 354 | 0.9487 | 0.6181 | 0.9487 | 0.9740 |
| No log | 5.6508 | 356 | 0.9034 | 0.6089 | 0.9034 | 0.9505 |
| No log | 5.6825 | 358 | 0.9865 | 0.6258 | 0.9865 | 0.9932 |
| No log | 5.7143 | 360 | 1.1454 | 0.5617 | 1.1454 | 1.0702 |
| No log | 5.7460 | 362 | 1.2531 | 0.5311 | 1.2531 | 1.1194 |
| No log | 5.7778 | 364 | 1.2361 | 0.5294 | 1.2361 | 1.1118 |
| No log | 5.8095 | 366 | 1.1891 | 0.5566 | 1.1891 | 1.0905 |
| No log | 5.8413 | 368 | 1.2214 | 0.5566 | 1.2214 | 1.1052 |
| No log | 5.8730 | 370 | 1.1843 | 0.5678 | 1.1843 | 1.0882 |
| No log | 5.9048 | 372 | 1.1258 | 0.6167 | 1.1258 | 1.0610 |
| No log | 5.9365 | 374 | 1.1989 | 0.5878 | 1.1989 | 1.0949 |
| No log | 5.9683 | 376 | 1.3145 | 0.5492 | 1.3145 | 1.1465 |
| No log | 6.0 | 378 | 1.3184 | 0.5592 | 1.3184 | 1.1482 |
| No log | 6.0317 | 380 | 1.1804 | 0.5634 | 1.1804 | 1.0864 |
| No log | 6.0635 | 382 | 0.9790 | 0.6373 | 0.9790 | 0.9895 |
| No log | 6.0952 | 384 | 0.8684 | 0.6162 | 0.8684 | 0.9319 |
| No log | 6.1270 | 386 | 0.8697 | 0.6333 | 0.8697 | 0.9326 |
| No log | 6.1587 | 388 | 0.9537 | 0.6466 | 0.9537 | 0.9766 |
| No log | 6.1905 | 390 | 1.1032 | 0.5378 | 1.1032 | 1.0503 |
| No log | 6.2222 | 392 | 1.2141 | 0.5283 | 1.2141 | 1.1018 |
| No log | 6.2540 | 394 | 1.2313 | 0.5197 | 1.2313 | 1.1096 |
| No log | 6.2857 | 396 | 1.2484 | 0.5197 | 1.2484 | 1.1173 |
| No log | 6.3175 | 398 | 1.2683 | 0.5197 | 1.2683 | 1.1262 |
| No log | 6.3492 | 400 | 1.2621 | 0.5310 | 1.2621 | 1.1234 |
| No log | 6.3810 | 402 | 1.2835 | 0.5310 | 1.2835 | 1.1329 |
| No log | 6.4127 | 404 | 1.2546 | 0.5392 | 1.2546 | 1.1201 |
| No log | 6.4444 | 406 | 1.2858 | 0.5392 | 1.2858 | 1.1339 |
| No log | 6.4762 | 408 | 1.2783 | 0.5392 | 1.2783 | 1.1306 |
| No log | 6.5079 | 410 | 1.2486 | 0.5361 | 1.2486 | 1.1174 |
| No log | 6.5397 | 412 | 1.1533 | 0.5664 | 1.1533 | 1.0739 |
| No log | 6.5714 | 414 | 1.0803 | 0.6119 | 1.0803 | 1.0394 |
| No log | 6.6032 | 416 | 1.0498 | 0.6119 | 1.0498 | 1.0246 |
| No log | 6.6349 | 418 | 1.0735 | 0.6119 | 1.0735 | 1.0361 |
| No log | 6.6667 | 420 | 1.0126 | 0.6229 | 1.0126 | 1.0063 |
| No log | 6.6984 | 422 | 0.9248 | 0.6317 | 0.9248 | 0.9617 |
| No log | 6.7302 | 424 | 0.9071 | 0.6410 | 0.9071 | 0.9524 |
| No log | 6.7619 | 426 | 0.9745 | 0.6271 | 0.9745 | 0.9872 |
| No log | 6.7937 | 428 | 0.9950 | 0.6108 | 0.9950 | 0.9975 |
| No log | 6.8254 | 430 | 1.0312 | 0.6142 | 1.0312 | 1.0155 |
| No log | 6.8571 | 432 | 1.1011 | 0.6065 | 1.1011 | 1.0493 |
| No log | 6.8889 | 434 | 1.0914 | 0.6106 | 1.0914 | 1.0447 |
| No log | 6.9206 | 436 | 1.0463 | 0.5951 | 1.0463 | 1.0229 |
| No log | 6.9524 | 438 | 1.0847 | 0.5909 | 1.0847 | 1.0415 |
| No log | 6.9841 | 440 | 1.0912 | 0.5889 | 1.0912 | 1.0446 |
| No log | 7.0159 | 442 | 1.0508 | 0.5945 | 1.0508 | 1.0251 |
| No log | 7.0476 | 444 | 0.9676 | 0.6168 | 0.9676 | 0.9837 |
| No log | 7.0794 | 446 | 0.9240 | 0.6469 | 0.9240 | 0.9613 |
| No log | 7.1111 | 448 | 0.9718 | 0.6107 | 0.9718 | 0.9858 |
| No log | 7.1429 | 450 | 1.0611 | 0.5945 | 1.0611 | 1.0301 |
| No log | 7.1746 | 452 | 1.0917 | 0.5824 | 1.0917 | 1.0448 |
| No log | 7.2063 | 454 | 1.0890 | 0.6057 | 1.0890 | 1.0436 |
| No log | 7.2381 | 456 | 1.0554 | 0.6167 | 1.0554 | 1.0273 |
| No log | 7.2698 | 458 | 1.0393 | 0.6341 | 1.0393 | 1.0195 |
| No log | 7.3016 | 460 | 1.0220 | 0.6499 | 1.0220 | 1.0109 |
| No log | 7.3333 | 462 | 1.0659 | 0.6504 | 1.0659 | 1.0324 |
| No log | 7.3651 | 464 | 1.1356 | 0.6224 | 1.1356 | 1.0657 |
| No log | 7.3968 | 466 | 1.1517 | 0.6101 | 1.1517 | 1.0732 |
| No log | 7.4286 | 468 | 1.0712 | 0.6132 | 1.0712 | 1.0350 |
| No log | 7.4603 | 470 | 1.0027 | 0.6195 | 1.0027 | 1.0014 |
| No log | 7.4921 | 472 | 0.9126 | 0.6437 | 0.9126 | 0.9553 |
| No log | 7.5238 | 474 | 0.8487 | 0.6491 | 0.8487 | 0.9212 |
| No log | 7.5556 | 476 | 0.8545 | 0.6478 | 0.8545 | 0.9244 |
| No log | 7.5873 | 478 | 0.8883 | 0.6457 | 0.8883 | 0.9425 |
| No log | 7.6190 | 480 | 0.9576 | 0.6158 | 0.9576 | 0.9785 |
| No log | 7.6508 | 482 | 1.0716 | 0.5769 | 1.0716 | 1.0352 |
| No log | 7.6825 | 484 | 1.1322 | 0.5747 | 1.1322 | 1.0640 |
| No log | 7.7143 | 486 | 1.1548 | 0.5747 | 1.1548 | 1.0746 |
| No log | 7.7460 | 488 | 1.0941 | 0.5671 | 1.0941 | 1.0460 |
| No log | 7.7778 | 490 | 1.0029 | 0.5979 | 1.0029 | 1.0015 |
| No log | 7.8095 | 492 | 0.9322 | 0.6181 | 0.9322 | 0.9655 |
| No log | 7.8413 | 494 | 0.9136 | 0.6290 | 0.9136 | 0.9558 |
| No log | 7.8730 | 496 | 0.9400 | 0.6040 | 0.9400 | 0.9695 |
| No log | 7.9048 | 498 | 1.0098 | 0.6013 | 1.0098 | 1.0049 |
| 0.3653 | 7.9365 | 500 | 1.0794 | 0.5648 | 1.0794 | 1.0389 |
| 0.3653 | 7.9683 | 502 | 1.1268 | 0.5575 | 1.1268 | 1.0615 |
| 0.3653 | 8.0 | 504 | 1.1077 | 0.5527 | 1.1077 | 1.0525 |
| 0.3653 | 8.0317 | 506 | 1.0992 | 0.5527 | 1.0992 | 1.0484 |
| 0.3653 | 8.0635 | 508 | 1.0844 | 0.5527 | 1.0844 | 1.0413 |
| 0.3653 | 8.0952 | 510 | 1.0380 | 0.5614 | 1.0380 | 1.0188 |
| 0.3653 | 8.1270 | 512 | 1.0126 | 0.5566 | 1.0126 | 1.0063 |
| 0.3653 | 8.1587 | 514 | 1.0147 | 0.5566 | 1.0147 | 1.0073 |
| 0.3653 | 8.1905 | 516 | 1.0216 | 0.5596 | 1.0216 | 1.0107 |
| 0.3653 | 8.2222 | 518 | 1.0320 | 0.5666 | 1.0320 | 1.0159 |
| 0.3653 | 8.2540 | 520 | 1.0347 | 0.5666 | 1.0347 | 1.0172 |
| 0.3653 | 8.2857 | 522 | 1.0346 | 0.5666 | 1.0346 | 1.0172 |
| 0.3653 | 8.3175 | 524 | 1.0296 | 0.5666 | 1.0296 | 1.0147 |
| 0.3653 | 8.3492 | 526 | 1.0195 | 0.5791 | 1.0195 | 1.0097 |
| 0.3653 | 8.3810 | 528 | 0.9916 | 0.5839 | 0.9916 | 0.9958 |
| 0.3653 | 8.4127 | 530 | 0.9996 | 0.5978 | 0.9996 | 0.9998 |
| 0.3653 | 8.4444 | 532 | 1.0101 | 0.5857 | 1.0101 | 1.0050 |
| 0.3653 | 8.4762 | 534 | 1.0632 | 0.5758 | 1.0632 | 1.0311 |
| 0.3653 | 8.5079 | 536 | 1.0911 | 0.5758 | 1.0911 | 1.0446 |
| 0.3653 | 8.5397 | 538 | 1.1100 | 0.5715 | 1.1100 | 1.0536 |
| 0.3653 | 8.5714 | 540 | 1.1126 | 0.5715 | 1.1126 | 1.0548 |
| 0.3653 | 8.6032 | 542 | 1.1429 | 0.5233 | 1.1429 | 1.0691 |
| 0.3653 | 8.6349 | 544 | 1.1649 | 0.5218 | 1.1649 | 1.0793 |
| 0.3653 | 8.6667 | 546 | 1.1456 | 0.5463 | 1.1456 | 1.0703 |
| 0.3653 | 8.6984 | 548 | 1.1113 | 0.5517 | 1.1113 | 1.0542 |
| 0.3653 | 8.7302 | 550 | 1.0692 | 0.5682 | 1.0692 | 1.0340 |
| 0.3653 | 8.7619 | 552 | 1.0468 | 0.5682 | 1.0468 | 1.0231 |
| 0.3653 | 8.7937 | 554 | 1.0524 | 0.5658 | 1.0524 | 1.0259 |
| 0.3653 | 8.8254 | 556 | 1.0807 | 0.5561 | 1.0807 | 1.0396 |
| 0.3653 | 8.8571 | 558 | 1.1066 | 0.5517 | 1.1066 | 1.0519 |
| 0.3653 | 8.8889 | 560 | 1.1025 | 0.5517 | 1.1025 | 1.0500 |
| 0.3653 | 8.9206 | 562 | 1.1175 | 0.5517 | 1.1175 | 1.0571 |
| 0.3653 | 8.9524 | 564 | 1.1201 | 0.5584 | 1.1201 | 1.0584 |
| 0.3653 | 8.9841 | 566 | 1.1065 | 0.5638 | 1.1065 | 1.0519 |
| 0.3653 | 9.0159 | 568 | 1.1114 | 0.5704 | 1.1114 | 1.0542 |
| 0.3653 | 9.0476 | 570 | 1.1229 | 0.5738 | 1.1229 | 1.0597 |
| 0.3653 | 9.0794 | 572 | 1.1355 | 0.5651 | 1.1355 | 1.0656 |
| 0.3653 | 9.1111 | 574 | 1.1357 | 0.5684 | 1.1357 | 1.0657 |
| 0.3653 | 9.1429 | 576 | 1.1212 | 0.5771 | 1.1212 | 1.0589 |
| 0.3653 | 9.1746 | 578 | 1.1011 | 0.5846 | 1.1011 | 1.0493 |
| 0.3653 | 9.2063 | 580 | 1.0881 | 0.5869 | 1.0881 | 1.0431 |
| 0.3653 | 9.2381 | 582 | 1.0797 | 0.5836 | 1.0797 | 1.0391 |
| 0.3653 | 9.2698 | 584 | 1.0583 | 0.5923 | 1.0583 | 1.0287 |
| 0.3653 | 9.3016 | 586 | 1.0564 | 0.5923 | 1.0564 | 1.0278 |
| 0.3653 | 9.3333 | 588 | 1.0637 | 0.5942 | 1.0637 | 1.0313 |
| 0.3653 | 9.3651 | 590 | 1.0762 | 0.5942 | 1.0762 | 1.0374 |
| 0.3653 | 9.3968 | 592 | 1.0819 | 0.5942 | 1.0819 | 1.0401 |
| 0.3653 | 9.4286 | 594 | 1.0875 | 0.5975 | 1.0875 | 1.0428 |
| 0.3653 | 9.4603 | 596 | 1.1066 | 0.5965 | 1.1066 | 1.0519 |
| 0.3653 | 9.4921 | 598 | 1.1182 | 0.5598 | 1.1182 | 1.0574 |
| 0.3653 | 9.5238 | 600 | 1.1183 | 0.5759 | 1.1183 | 1.0575 |
| 0.3653 | 9.5556 | 602 | 1.1209 | 0.5759 | 1.1209 | 1.0587 |
| 0.3653 | 9.5873 | 604 | 1.1239 | 0.5759 | 1.1239 | 1.0602 |
| 0.3653 | 9.6190 | 606 | 1.1301 | 0.5598 | 1.1301 | 1.0631 |
| 0.3653 | 9.6508 | 608 | 1.1309 | 0.5598 | 1.1309 | 1.0635 |
| 0.3653 | 9.6825 | 610 | 1.1294 | 0.5598 | 1.1294 | 1.0628 |
| 0.3653 | 9.7143 | 612 | 1.1199 | 0.5759 | 1.1199 | 1.0582 |
| 0.3653 | 9.7460 | 614 | 1.1060 | 0.5846 | 1.1060 | 1.0517 |
| 0.3653 | 9.7778 | 616 | 1.0947 | 0.5846 | 1.0947 | 1.0463 |
| 0.3653 | 9.8095 | 618 | 1.0841 | 0.6008 | 1.0841 | 1.0412 |
| 0.3653 | 9.8413 | 620 | 1.0753 | 0.6008 | 1.0753 | 1.0370 |
| 0.3653 | 9.8730 | 622 | 1.0670 | 0.5942 | 1.0670 | 1.0330 |
| 0.3653 | 9.9048 | 624 | 1.0612 | 0.5878 | 1.0612 | 1.0302 |
| 0.3653 | 9.9365 | 626 | 1.0588 | 0.5878 | 1.0588 | 1.0290 |
| 0.3653 | 9.9683 | 628 | 1.0574 | 0.5878 | 1.0574 | 1.0283 |
| 0.3653 | 10.0 | 630 | 1.0566 | 0.5878 | 1.0566 | 1.0279 |
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/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k19_task5_organization
Base model
aubmindlab/bert-base-arabertv02