ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k9_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: 0.5775
- Qwk: 0.6470
- Mse: 0.5775
- Rmse: 0.7599
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 | 0.0426 | 2 | 4.0568 | -0.0174 | 4.0568 | 2.0142 |
| No log | 0.0851 | 4 | 2.4043 | 0.0014 | 2.4043 | 1.5506 |
| No log | 0.1277 | 6 | 2.0332 | -0.0111 | 2.0332 | 1.4259 |
| No log | 0.1702 | 8 | 1.1460 | 0.1426 | 1.1460 | 1.0705 |
| No log | 0.2128 | 10 | 1.1926 | 0.0293 | 1.1926 | 1.0920 |
| No log | 0.2553 | 12 | 1.6686 | -0.0858 | 1.6686 | 1.2917 |
| No log | 0.2979 | 14 | 1.6574 | -0.0858 | 1.6574 | 1.2874 |
| No log | 0.3404 | 16 | 1.4189 | -0.0858 | 1.4189 | 1.1912 |
| No log | 0.3830 | 18 | 1.2863 | -0.0477 | 1.2863 | 1.1341 |
| No log | 0.4255 | 20 | 1.1859 | 0.1176 | 1.1859 | 1.0890 |
| No log | 0.4681 | 22 | 1.1302 | 0.2692 | 1.1302 | 1.0631 |
| No log | 0.5106 | 24 | 1.1241 | 0.2787 | 1.1241 | 1.0602 |
| No log | 0.5532 | 26 | 1.1141 | 0.2912 | 1.1141 | 1.0555 |
| No log | 0.5957 | 28 | 1.1284 | 0.1389 | 1.1284 | 1.0623 |
| No log | 0.6383 | 30 | 1.1268 | 0.1631 | 1.1268 | 1.0615 |
| No log | 0.6809 | 32 | 1.1620 | 0.0938 | 1.1620 | 1.0779 |
| No log | 0.7234 | 34 | 1.1801 | 0.0466 | 1.1801 | 1.0863 |
| No log | 0.7660 | 36 | 1.1574 | 0.1296 | 1.1574 | 1.0758 |
| No log | 0.8085 | 38 | 1.1175 | 0.1509 | 1.1175 | 1.0571 |
| No log | 0.8511 | 40 | 1.1649 | 0.1711 | 1.1649 | 1.0793 |
| No log | 0.8936 | 42 | 1.2084 | 0.1591 | 1.2084 | 1.0993 |
| No log | 0.9362 | 44 | 1.2767 | 0.0318 | 1.2767 | 1.1299 |
| No log | 0.9787 | 46 | 1.3148 | 0.0701 | 1.3148 | 1.1466 |
| No log | 1.0213 | 48 | 1.4443 | -0.0032 | 1.4443 | 1.2018 |
| No log | 1.0638 | 50 | 1.6010 | 0.0380 | 1.6010 | 1.2653 |
| No log | 1.1064 | 52 | 1.4612 | 0.0760 | 1.4612 | 1.2088 |
| No log | 1.1489 | 54 | 1.1901 | 0.1433 | 1.1901 | 1.0909 |
| No log | 1.1915 | 56 | 1.0081 | 0.3577 | 1.0081 | 1.0041 |
| No log | 1.2340 | 58 | 0.9894 | 0.2370 | 0.9894 | 0.9947 |
| No log | 1.2766 | 60 | 1.0339 | 0.2478 | 1.0339 | 1.0168 |
| No log | 1.3191 | 62 | 0.9449 | 0.3428 | 0.9449 | 0.9721 |
| No log | 1.3617 | 64 | 1.0186 | 0.3738 | 1.0186 | 1.0092 |
| No log | 1.4043 | 66 | 1.1030 | 0.3521 | 1.1030 | 1.0503 |
| No log | 1.4468 | 68 | 0.9725 | 0.3391 | 0.9725 | 0.9862 |
| No log | 1.4894 | 70 | 0.9160 | 0.3937 | 0.9160 | 0.9571 |
| No log | 1.5319 | 72 | 0.9540 | 0.3969 | 0.9540 | 0.9767 |
| No log | 1.5745 | 74 | 0.9525 | 0.4175 | 0.9525 | 0.9760 |
| No log | 1.6170 | 76 | 1.2637 | 0.3528 | 1.2637 | 1.1242 |
| No log | 1.6596 | 78 | 1.5836 | 0.2086 | 1.5836 | 1.2584 |
| No log | 1.7021 | 80 | 1.3278 | 0.3646 | 1.3278 | 1.1523 |
| No log | 1.7447 | 82 | 1.0764 | 0.3681 | 1.0764 | 1.0375 |
| No log | 1.7872 | 84 | 1.2287 | 0.3400 | 1.2287 | 1.1085 |
| No log | 1.8298 | 86 | 1.2764 | 0.3373 | 1.2764 | 1.1298 |
| No log | 1.8723 | 88 | 1.2593 | 0.3336 | 1.2593 | 1.1222 |
| No log | 1.9149 | 90 | 0.9158 | 0.3864 | 0.9158 | 0.9570 |
| No log | 1.9574 | 92 | 0.7083 | 0.4854 | 0.7083 | 0.8416 |
| No log | 2.0 | 94 | 0.6711 | 0.4981 | 0.6711 | 0.8192 |
| No log | 2.0426 | 96 | 0.6570 | 0.5516 | 0.6570 | 0.8106 |
| No log | 2.0851 | 98 | 0.6746 | 0.5385 | 0.6746 | 0.8214 |
| No log | 2.1277 | 100 | 0.6715 | 0.5695 | 0.6715 | 0.8194 |
| No log | 2.1702 | 102 | 0.6270 | 0.5485 | 0.6270 | 0.7918 |
| No log | 2.2128 | 104 | 0.6436 | 0.5391 | 0.6436 | 0.8023 |
| No log | 2.2553 | 106 | 0.6519 | 0.5966 | 0.6519 | 0.8074 |
| No log | 2.2979 | 108 | 0.6434 | 0.5698 | 0.6434 | 0.8022 |
| No log | 2.3404 | 110 | 0.6132 | 0.5388 | 0.6132 | 0.7830 |
| No log | 2.3830 | 112 | 0.6054 | 0.6006 | 0.6054 | 0.7781 |
| No log | 2.4255 | 114 | 0.6507 | 0.5568 | 0.6507 | 0.8066 |
| No log | 2.4681 | 116 | 0.6107 | 0.6217 | 0.6107 | 0.7815 |
| No log | 2.5106 | 118 | 0.5713 | 0.6087 | 0.5713 | 0.7558 |
| No log | 2.5532 | 120 | 0.5476 | 0.5917 | 0.5476 | 0.7400 |
| No log | 2.5957 | 122 | 0.5708 | 0.6517 | 0.5708 | 0.7555 |
| No log | 2.6383 | 124 | 0.5938 | 0.6593 | 0.5938 | 0.7706 |
| No log | 2.6809 | 126 | 0.6029 | 0.6175 | 0.6029 | 0.7765 |
| No log | 2.7234 | 128 | 0.5990 | 0.5943 | 0.5990 | 0.7740 |
| No log | 2.7660 | 130 | 0.6322 | 0.5811 | 0.6322 | 0.7951 |
| No log | 2.8085 | 132 | 0.6248 | 0.5529 | 0.6248 | 0.7905 |
| No log | 2.8511 | 134 | 0.9085 | 0.5190 | 0.9085 | 0.9532 |
| No log | 2.8936 | 136 | 1.0124 | 0.4757 | 1.0124 | 1.0062 |
| No log | 2.9362 | 138 | 0.7140 | 0.5375 | 0.7140 | 0.8450 |
| No log | 2.9787 | 140 | 0.6816 | 0.4963 | 0.6816 | 0.8256 |
| No log | 3.0213 | 142 | 0.6921 | 0.4546 | 0.6921 | 0.8319 |
| No log | 3.0638 | 144 | 0.7280 | 0.4546 | 0.7280 | 0.8532 |
| No log | 3.1064 | 146 | 0.6962 | 0.4697 | 0.6962 | 0.8344 |
| No log | 3.1489 | 148 | 0.6866 | 0.4943 | 0.6866 | 0.8286 |
| No log | 3.1915 | 150 | 0.7252 | 0.4792 | 0.7252 | 0.8516 |
| No log | 3.2340 | 152 | 0.7783 | 0.5217 | 0.7783 | 0.8822 |
| No log | 3.2766 | 154 | 0.7228 | 0.5217 | 0.7228 | 0.8502 |
| No log | 3.3191 | 156 | 0.6205 | 0.5580 | 0.6205 | 0.7877 |
| No log | 3.3617 | 158 | 0.6317 | 0.4783 | 0.6317 | 0.7948 |
| No log | 3.4043 | 160 | 0.6539 | 0.4641 | 0.6539 | 0.8086 |
| No log | 3.4468 | 162 | 0.6815 | 0.4606 | 0.6815 | 0.8255 |
| No log | 3.4894 | 164 | 0.6980 | 0.4444 | 0.6980 | 0.8355 |
| No log | 3.5319 | 166 | 0.6953 | 0.4589 | 0.6953 | 0.8339 |
| No log | 3.5745 | 168 | 0.7034 | 0.4512 | 0.7034 | 0.8387 |
| No log | 3.6170 | 170 | 0.6760 | 0.4783 | 0.6760 | 0.8222 |
| No log | 3.6596 | 172 | 0.6699 | 0.4935 | 0.6699 | 0.8185 |
| No log | 3.7021 | 174 | 0.6846 | 0.5684 | 0.6846 | 0.8274 |
| No log | 3.7447 | 176 | 0.7563 | 0.6150 | 0.7563 | 0.8696 |
| No log | 3.7872 | 178 | 0.6604 | 0.5327 | 0.6604 | 0.8127 |
| No log | 3.8298 | 180 | 0.6797 | 0.5504 | 0.6797 | 0.8245 |
| No log | 3.8723 | 182 | 0.7258 | 0.5370 | 0.7258 | 0.8519 |
| No log | 3.9149 | 184 | 0.6601 | 0.5647 | 0.6601 | 0.8124 |
| No log | 3.9574 | 186 | 1.1192 | 0.4030 | 1.1192 | 1.0579 |
| No log | 4.0 | 188 | 1.9789 | 0.2171 | 1.9789 | 1.4067 |
| No log | 4.0426 | 190 | 2.1234 | 0.2072 | 2.1234 | 1.4572 |
| No log | 4.0851 | 192 | 1.6632 | 0.2259 | 1.6632 | 1.2896 |
| No log | 4.1277 | 194 | 0.9633 | 0.3243 | 0.9633 | 0.9815 |
| No log | 4.1702 | 196 | 0.7306 | 0.5056 | 0.7306 | 0.8548 |
| No log | 4.2128 | 198 | 0.9929 | 0.4641 | 0.9929 | 0.9965 |
| No log | 4.2553 | 200 | 0.9257 | 0.4420 | 0.9257 | 0.9621 |
| No log | 4.2979 | 202 | 0.7307 | 0.4949 | 0.7307 | 0.8548 |
| No log | 4.3404 | 204 | 0.6744 | 0.5153 | 0.6744 | 0.8212 |
| No log | 4.3830 | 206 | 0.6821 | 0.5183 | 0.6821 | 0.8259 |
| No log | 4.4255 | 208 | 0.6567 | 0.5033 | 0.6567 | 0.8104 |
| No log | 4.4681 | 210 | 0.7195 | 0.4952 | 0.7195 | 0.8482 |
| No log | 4.5106 | 212 | 0.7875 | 0.4818 | 0.7875 | 0.8874 |
| No log | 4.5532 | 214 | 0.9549 | 0.4987 | 0.9549 | 0.9772 |
| No log | 4.5957 | 216 | 1.0347 | 0.4277 | 1.0347 | 1.0172 |
| No log | 4.6383 | 218 | 0.9151 | 0.3453 | 0.9151 | 0.9566 |
| No log | 4.6809 | 220 | 0.7909 | 0.3960 | 0.7909 | 0.8893 |
| No log | 4.7234 | 222 | 0.7996 | 0.5441 | 0.7996 | 0.8942 |
| No log | 4.7660 | 224 | 0.8491 | 0.5495 | 0.8491 | 0.9214 |
| No log | 4.8085 | 226 | 0.7432 | 0.5706 | 0.7432 | 0.8621 |
| No log | 4.8511 | 228 | 0.6718 | 0.5346 | 0.6718 | 0.8196 |
| No log | 4.8936 | 230 | 0.7806 | 0.4921 | 0.7806 | 0.8835 |
| No log | 4.9362 | 232 | 0.7530 | 0.5137 | 0.7530 | 0.8678 |
| No log | 4.9787 | 234 | 0.6739 | 0.5206 | 0.6739 | 0.8209 |
| No log | 5.0213 | 236 | 0.6470 | 0.5495 | 0.6470 | 0.8043 |
| No log | 5.0638 | 238 | 0.6607 | 0.5703 | 0.6607 | 0.8128 |
| No log | 5.1064 | 240 | 0.6766 | 0.6047 | 0.6766 | 0.8225 |
| No log | 5.1489 | 242 | 0.7677 | 0.5708 | 0.7677 | 0.8762 |
| No log | 5.1915 | 244 | 0.7277 | 0.5928 | 0.7277 | 0.8530 |
| No log | 5.2340 | 246 | 0.7471 | 0.5898 | 0.7471 | 0.8643 |
| No log | 5.2766 | 248 | 0.7970 | 0.5379 | 0.7970 | 0.8927 |
| No log | 5.3191 | 250 | 0.7093 | 0.5568 | 0.7093 | 0.8422 |
| No log | 5.3617 | 252 | 0.7368 | 0.5199 | 0.7368 | 0.8584 |
| No log | 5.4043 | 254 | 0.9372 | 0.4729 | 0.9372 | 0.9681 |
| No log | 5.4468 | 256 | 1.0368 | 0.3944 | 1.0368 | 1.0182 |
| No log | 5.4894 | 258 | 0.9740 | 0.4961 | 0.9740 | 0.9869 |
| No log | 5.5319 | 260 | 0.8651 | 0.4021 | 0.8651 | 0.9301 |
| No log | 5.5745 | 262 | 0.8402 | 0.4738 | 0.8402 | 0.9166 |
| No log | 5.6170 | 264 | 0.8397 | 0.4738 | 0.8397 | 0.9164 |
| No log | 5.6596 | 266 | 0.7944 | 0.5098 | 0.7944 | 0.8913 |
| No log | 5.7021 | 268 | 0.8273 | 0.5098 | 0.8273 | 0.9095 |
| No log | 5.7447 | 270 | 0.9823 | 0.4638 | 0.9823 | 0.9911 |
| No log | 5.7872 | 272 | 0.8887 | 0.4945 | 0.8887 | 0.9427 |
| No log | 5.8298 | 274 | 0.6504 | 0.5795 | 0.6504 | 0.8065 |
| No log | 5.8723 | 276 | 0.6580 | 0.5304 | 0.6580 | 0.8112 |
| No log | 5.9149 | 278 | 0.7385 | 0.5636 | 0.7385 | 0.8594 |
| No log | 5.9574 | 280 | 0.6768 | 0.5076 | 0.6768 | 0.8227 |
| No log | 6.0 | 282 | 0.6467 | 0.6252 | 0.6467 | 0.8042 |
| No log | 6.0426 | 284 | 0.6450 | 0.6024 | 0.6450 | 0.8031 |
| No log | 6.0851 | 286 | 0.6741 | 0.5938 | 0.6741 | 0.8210 |
| No log | 6.1277 | 288 | 0.7150 | 0.5288 | 0.7150 | 0.8456 |
| No log | 6.1702 | 290 | 0.7526 | 0.5153 | 0.7526 | 0.8675 |
| No log | 6.2128 | 292 | 0.7679 | 0.4919 | 0.7679 | 0.8763 |
| No log | 6.2553 | 294 | 0.7543 | 0.4903 | 0.7543 | 0.8685 |
| No log | 6.2979 | 296 | 0.7623 | 0.5088 | 0.7623 | 0.8731 |
| No log | 6.3404 | 298 | 0.8085 | 0.4382 | 0.8085 | 0.8992 |
| No log | 6.3830 | 300 | 0.7912 | 0.4501 | 0.7912 | 0.8895 |
| No log | 6.4255 | 302 | 0.7258 | 0.5703 | 0.7258 | 0.8520 |
| No log | 6.4681 | 304 | 0.7086 | 0.5823 | 0.7086 | 0.8418 |
| No log | 6.5106 | 306 | 0.7390 | 0.4109 | 0.7390 | 0.8597 |
| No log | 6.5532 | 308 | 0.7498 | 0.4109 | 0.7498 | 0.8659 |
| No log | 6.5957 | 310 | 0.6673 | 0.5464 | 0.6673 | 0.8169 |
| No log | 6.6383 | 312 | 0.6837 | 0.5455 | 0.6837 | 0.8269 |
| No log | 6.6809 | 314 | 0.7121 | 0.4850 | 0.7121 | 0.8439 |
| No log | 6.7234 | 316 | 0.6954 | 0.5345 | 0.6954 | 0.8339 |
| No log | 6.7660 | 318 | 0.7367 | 0.4977 | 0.7367 | 0.8583 |
| No log | 6.8085 | 320 | 0.9491 | 0.4961 | 0.9491 | 0.9742 |
| No log | 6.8511 | 322 | 0.9181 | 0.5167 | 0.9181 | 0.9582 |
| No log | 6.8936 | 324 | 0.7107 | 0.4984 | 0.7107 | 0.8430 |
| No log | 6.9362 | 326 | 0.6631 | 0.5017 | 0.6631 | 0.8143 |
| No log | 6.9787 | 328 | 0.7239 | 0.5385 | 0.7239 | 0.8508 |
| No log | 7.0213 | 330 | 0.7848 | 0.5675 | 0.7848 | 0.8859 |
| No log | 7.0638 | 332 | 0.7171 | 0.5707 | 0.7171 | 0.8468 |
| No log | 7.1064 | 334 | 0.6339 | 0.5510 | 0.6339 | 0.7962 |
| No log | 7.1489 | 336 | 0.7130 | 0.5242 | 0.7130 | 0.8444 |
| No log | 7.1915 | 338 | 0.7325 | 0.5242 | 0.7325 | 0.8558 |
| No log | 7.2340 | 340 | 0.6837 | 0.5084 | 0.6837 | 0.8269 |
| No log | 7.2766 | 342 | 0.7480 | 0.4709 | 0.7480 | 0.8648 |
| No log | 7.3191 | 344 | 0.8868 | 0.4568 | 0.8868 | 0.9417 |
| No log | 7.3617 | 346 | 0.8091 | 0.4911 | 0.8091 | 0.8995 |
| No log | 7.4043 | 348 | 0.6718 | 0.6397 | 0.6718 | 0.8197 |
| No log | 7.4468 | 350 | 0.6912 | 0.5112 | 0.6912 | 0.8314 |
| No log | 7.4894 | 352 | 0.7492 | 0.5381 | 0.7492 | 0.8656 |
| No log | 7.5319 | 354 | 0.7389 | 0.5112 | 0.7389 | 0.8596 |
| No log | 7.5745 | 356 | 0.7881 | 0.3860 | 0.7881 | 0.8877 |
| No log | 7.6170 | 358 | 0.8684 | 0.3551 | 0.8684 | 0.9319 |
| No log | 7.6596 | 360 | 0.8395 | 0.3556 | 0.8395 | 0.9163 |
| No log | 7.7021 | 362 | 0.8046 | 0.3960 | 0.8046 | 0.8970 |
| No log | 7.7447 | 364 | 0.7960 | 0.4781 | 0.7960 | 0.8922 |
| No log | 7.7872 | 366 | 0.7676 | 0.4903 | 0.7676 | 0.8761 |
| No log | 7.8298 | 368 | 0.7555 | 0.4345 | 0.7555 | 0.8692 |
| No log | 7.8723 | 370 | 0.7322 | 0.4610 | 0.7322 | 0.8557 |
| No log | 7.9149 | 372 | 0.7315 | 0.4227 | 0.7315 | 0.8553 |
| No log | 7.9574 | 374 | 0.7184 | 0.3861 | 0.7184 | 0.8476 |
| No log | 8.0 | 376 | 0.6792 | 0.5153 | 0.6792 | 0.8241 |
| No log | 8.0426 | 378 | 0.6868 | 0.5153 | 0.6868 | 0.8287 |
| No log | 8.0851 | 380 | 0.6896 | 0.5168 | 0.6896 | 0.8304 |
| No log | 8.1277 | 382 | 0.7034 | 0.4537 | 0.7034 | 0.8387 |
| No log | 8.1702 | 384 | 0.7026 | 0.4935 | 0.7026 | 0.8382 |
| No log | 8.2128 | 386 | 0.7081 | 0.5088 | 0.7081 | 0.8415 |
| No log | 8.2553 | 388 | 0.6940 | 0.5331 | 0.6940 | 0.8331 |
| No log | 8.2979 | 390 | 0.6644 | 0.5168 | 0.6644 | 0.8151 |
| No log | 8.3404 | 392 | 0.6766 | 0.4745 | 0.6766 | 0.8226 |
| No log | 8.3830 | 394 | 0.6919 | 0.4727 | 0.6919 | 0.8318 |
| No log | 8.4255 | 396 | 0.6366 | 0.4760 | 0.6366 | 0.7979 |
| No log | 8.4681 | 398 | 0.6078 | 0.5274 | 0.6078 | 0.7796 |
| No log | 8.5106 | 400 | 0.5997 | 0.5402 | 0.5997 | 0.7744 |
| No log | 8.5532 | 402 | 0.6025 | 0.4888 | 0.6025 | 0.7762 |
| No log | 8.5957 | 404 | 0.5955 | 0.5017 | 0.5955 | 0.7717 |
| No log | 8.6383 | 406 | 0.5704 | 0.5656 | 0.5704 | 0.7552 |
| No log | 8.6809 | 408 | 0.6070 | 0.6466 | 0.6070 | 0.7791 |
| No log | 8.7234 | 410 | 0.7412 | 0.6322 | 0.7412 | 0.8609 |
| No log | 8.7660 | 412 | 0.7747 | 0.6122 | 0.7747 | 0.8802 |
| No log | 8.8085 | 414 | 0.6638 | 0.6616 | 0.6638 | 0.8147 |
| No log | 8.8511 | 416 | 0.5471 | 0.6429 | 0.5471 | 0.7397 |
| No log | 8.8936 | 418 | 0.5366 | 0.6028 | 0.5366 | 0.7325 |
| No log | 8.9362 | 420 | 0.5605 | 0.6195 | 0.5605 | 0.7487 |
| No log | 8.9787 | 422 | 0.5858 | 0.6479 | 0.5858 | 0.7654 |
| No log | 9.0213 | 424 | 0.5829 | 0.6195 | 0.5829 | 0.7635 |
| No log | 9.0638 | 426 | 0.6303 | 0.6733 | 0.6303 | 0.7939 |
| No log | 9.1064 | 428 | 0.6526 | 0.6733 | 0.6526 | 0.8078 |
| No log | 9.1489 | 430 | 0.6537 | 0.6507 | 0.6537 | 0.8085 |
| No log | 9.1915 | 432 | 0.5919 | 0.5692 | 0.5919 | 0.7694 |
| No log | 9.2340 | 434 | 0.6038 | 0.5866 | 0.6038 | 0.7770 |
| No log | 9.2766 | 436 | 0.5858 | 0.5866 | 0.5858 | 0.7654 |
| No log | 9.3191 | 438 | 0.5680 | 0.6479 | 0.5680 | 0.7537 |
| No log | 9.3617 | 440 | 0.5712 | 0.6087 | 0.5712 | 0.7558 |
| No log | 9.4043 | 442 | 0.5857 | 0.5910 | 0.5857 | 0.7653 |
| No log | 9.4468 | 444 | 0.6173 | 0.6172 | 0.6173 | 0.7857 |
| No log | 9.4894 | 446 | 0.6179 | 0.5316 | 0.6179 | 0.7861 |
| No log | 9.5319 | 448 | 0.6186 | 0.5316 | 0.6186 | 0.7865 |
| No log | 9.5745 | 450 | 0.6139 | 0.5450 | 0.6139 | 0.7835 |
| No log | 9.6170 | 452 | 0.6249 | 0.6422 | 0.6249 | 0.7905 |
| No log | 9.6596 | 454 | 0.6457 | 0.6377 | 0.6457 | 0.8036 |
| No log | 9.7021 | 456 | 0.6139 | 0.6377 | 0.6139 | 0.7835 |
| No log | 9.7447 | 458 | 0.5990 | 0.6485 | 0.5990 | 0.7740 |
| No log | 9.7872 | 460 | 0.5441 | 0.6036 | 0.5441 | 0.7376 |
| No log | 9.8298 | 462 | 0.5366 | 0.6046 | 0.5366 | 0.7326 |
| No log | 9.8723 | 464 | 0.5420 | 0.5943 | 0.5420 | 0.7362 |
| No log | 9.9149 | 466 | 0.5353 | 0.5886 | 0.5353 | 0.7316 |
| No log | 9.9574 | 468 | 0.5473 | 0.5926 | 0.5473 | 0.7398 |
| No log | 10.0 | 470 | 0.5723 | 0.5302 | 0.5723 | 0.7565 |
| No log | 10.0426 | 472 | 0.5933 | 0.5165 | 0.5933 | 0.7703 |
| No log | 10.0851 | 474 | 0.5868 | 0.5165 | 0.5868 | 0.7660 |
| No log | 10.1277 | 476 | 0.5565 | 0.5570 | 0.5565 | 0.7460 |
| No log | 10.1702 | 478 | 0.5382 | 0.6451 | 0.5382 | 0.7336 |
| No log | 10.2128 | 480 | 0.5144 | 0.6598 | 0.5144 | 0.7172 |
| No log | 10.2553 | 482 | 0.5057 | 0.6566 | 0.5057 | 0.7111 |
| No log | 10.2979 | 484 | 0.5102 | 0.6441 | 0.5102 | 0.7143 |
| No log | 10.3404 | 486 | 0.5575 | 0.6328 | 0.5575 | 0.7466 |
| No log | 10.3830 | 488 | 0.5413 | 0.6473 | 0.5413 | 0.7357 |
| No log | 10.4255 | 490 | 0.4896 | 0.6911 | 0.4896 | 0.6997 |
| No log | 10.4681 | 492 | 0.5317 | 0.6733 | 0.5317 | 0.7292 |
| No log | 10.5106 | 494 | 0.5584 | 0.6701 | 0.5584 | 0.7473 |
| No log | 10.5532 | 496 | 0.5357 | 0.6602 | 0.5357 | 0.7319 |
| No log | 10.5957 | 498 | 0.5269 | 0.7082 | 0.5269 | 0.7259 |
| 0.319 | 10.6383 | 500 | 0.5412 | 0.6970 | 0.5412 | 0.7357 |
| 0.319 | 10.6809 | 502 | 0.5513 | 0.6770 | 0.5513 | 0.7425 |
| 0.319 | 10.7234 | 504 | 0.5564 | 0.6932 | 0.5564 | 0.7459 |
| 0.319 | 10.7660 | 506 | 0.5627 | 0.6932 | 0.5627 | 0.7502 |
| 0.319 | 10.8085 | 508 | 0.5664 | 0.7041 | 0.5664 | 0.7526 |
| 0.319 | 10.8511 | 510 | 0.6247 | 0.6768 | 0.6247 | 0.7904 |
| 0.319 | 10.8936 | 512 | 0.6216 | 0.6585 | 0.6216 | 0.7884 |
| 0.319 | 10.9362 | 514 | 0.5819 | 0.6217 | 0.5819 | 0.7629 |
| 0.319 | 10.9787 | 516 | 0.5751 | 0.6320 | 0.5751 | 0.7584 |
| 0.319 | 11.0213 | 518 | 0.5775 | 0.6470 | 0.5775 | 0.7599 |
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_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k9_task5_organization
Base model
aubmindlab/bert-base-arabertv02