ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k11_task7_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: 0.5370
- Qwk: 0.6118
- Mse: 0.5370
- Rmse: 0.7328
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 | 0.0526 | 2 | 2.4188 | -0.0262 | 2.4188 | 1.5553 |
| No log | 0.1053 | 4 | 1.2433 | 0.0736 | 1.2433 | 1.1150 |
| No log | 0.1579 | 6 | 0.9166 | -0.0288 | 0.9166 | 0.9574 |
| No log | 0.2105 | 8 | 1.1279 | -0.1914 | 1.1279 | 1.0620 |
| No log | 0.2632 | 10 | 1.4794 | -0.3188 | 1.4794 | 1.2163 |
| No log | 0.3158 | 12 | 1.3061 | -0.2562 | 1.3061 | 1.1429 |
| No log | 0.3684 | 14 | 1.0753 | 0.0952 | 1.0753 | 1.0370 |
| No log | 0.4211 | 16 | 0.8543 | 0.1648 | 0.8543 | 0.9243 |
| No log | 0.4737 | 18 | 0.7758 | 0.2751 | 0.7758 | 0.8808 |
| No log | 0.5263 | 20 | 0.7412 | 0.0428 | 0.7412 | 0.8609 |
| No log | 0.5789 | 22 | 0.7567 | 0.0 | 0.7567 | 0.8699 |
| No log | 0.6316 | 24 | 0.7719 | 0.0 | 0.7719 | 0.8786 |
| No log | 0.6842 | 26 | 0.7968 | 0.0 | 0.7968 | 0.8926 |
| No log | 0.7368 | 28 | 0.7350 | 0.0428 | 0.7350 | 0.8573 |
| No log | 0.7895 | 30 | 0.7190 | 0.1863 | 0.7190 | 0.8480 |
| No log | 0.8421 | 32 | 0.7293 | 0.1863 | 0.7293 | 0.8540 |
| No log | 0.8947 | 34 | 0.7361 | 0.0428 | 0.7361 | 0.8580 |
| No log | 0.9474 | 36 | 0.8620 | 0.0053 | 0.8620 | 0.9284 |
| No log | 1.0 | 38 | 0.9257 | 0.0509 | 0.9257 | 0.9621 |
| No log | 1.0526 | 40 | 1.0237 | 0.0203 | 1.0237 | 1.0118 |
| No log | 1.1053 | 42 | 0.9898 | 0.1739 | 0.9898 | 0.9949 |
| No log | 1.1579 | 44 | 0.8916 | 0.2109 | 0.8916 | 0.9443 |
| No log | 1.2105 | 46 | 0.7927 | 0.1365 | 0.7927 | 0.8903 |
| No log | 1.2632 | 48 | 0.7367 | 0.0327 | 0.7367 | 0.8583 |
| No log | 1.3158 | 50 | 0.7276 | 0.2537 | 0.7276 | 0.8530 |
| No log | 1.3684 | 52 | 0.7451 | 0.3243 | 0.7451 | 0.8632 |
| No log | 1.4211 | 54 | 0.7927 | 0.3092 | 0.7927 | 0.8903 |
| No log | 1.4737 | 56 | 0.7660 | 0.2537 | 0.7660 | 0.8752 |
| No log | 1.5263 | 58 | 0.7987 | 0.0679 | 0.7987 | 0.8937 |
| No log | 1.5789 | 60 | 0.8626 | -0.0517 | 0.8626 | 0.9288 |
| No log | 1.6316 | 62 | 0.9719 | 0.0139 | 0.9719 | 0.9859 |
| No log | 1.6842 | 64 | 1.0397 | -0.0173 | 1.0397 | 1.0196 |
| No log | 1.7368 | 66 | 0.9769 | -0.0389 | 0.9769 | 0.9884 |
| No log | 1.7895 | 68 | 0.8425 | 0.0 | 0.8425 | 0.9179 |
| No log | 1.8421 | 70 | 0.7528 | 0.0 | 0.7528 | 0.8677 |
| No log | 1.8947 | 72 | 0.7182 | 0.0 | 0.7182 | 0.8475 |
| No log | 1.9474 | 74 | 0.7584 | 0.0 | 0.7584 | 0.8709 |
| No log | 2.0 | 76 | 0.9802 | 0.2183 | 0.9802 | 0.9900 |
| No log | 2.0526 | 78 | 1.0953 | 0.1535 | 1.0953 | 1.0466 |
| No log | 2.1053 | 80 | 1.1364 | 0.1755 | 1.1364 | 1.0660 |
| No log | 2.1579 | 82 | 1.0979 | 0.1819 | 1.0979 | 1.0478 |
| No log | 2.2105 | 84 | 0.9573 | 0.2875 | 0.9573 | 0.9784 |
| No log | 2.2632 | 86 | 0.8381 | 0.3492 | 0.8381 | 0.9155 |
| No log | 2.3158 | 88 | 0.8300 | 0.3090 | 0.8300 | 0.9111 |
| No log | 2.3684 | 90 | 0.8007 | 0.3090 | 0.8007 | 0.8948 |
| No log | 2.4211 | 92 | 0.8091 | 0.3398 | 0.8091 | 0.8995 |
| No log | 2.4737 | 94 | 0.7295 | 0.1358 | 0.7295 | 0.8541 |
| No log | 2.5263 | 96 | 0.7079 | 0.0444 | 0.7079 | 0.8414 |
| No log | 2.5789 | 98 | 0.7017 | -0.0027 | 0.7017 | 0.8377 |
| No log | 2.6316 | 100 | 0.7301 | 0.0053 | 0.7301 | 0.8544 |
| No log | 2.6842 | 102 | 0.6968 | 0.0846 | 0.6968 | 0.8347 |
| No log | 2.7368 | 104 | 0.7447 | 0.1352 | 0.7447 | 0.8629 |
| No log | 2.7895 | 106 | 0.8718 | 0.2642 | 0.8718 | 0.9337 |
| No log | 2.8421 | 108 | 0.8623 | 0.2559 | 0.8623 | 0.9286 |
| No log | 2.8947 | 110 | 0.6937 | 0.2872 | 0.6937 | 0.8329 |
| No log | 2.9474 | 112 | 0.6675 | 0.3755 | 0.6675 | 0.8170 |
| No log | 3.0 | 114 | 0.8971 | 0.2308 | 0.8971 | 0.9471 |
| No log | 3.0526 | 116 | 0.8897 | 0.1504 | 0.8897 | 0.9433 |
| No log | 3.1053 | 118 | 0.8349 | -0.0026 | 0.8349 | 0.9137 |
| No log | 3.1579 | 120 | 0.9784 | 0.1685 | 0.9784 | 0.9891 |
| No log | 3.2105 | 122 | 1.0145 | 0.1618 | 1.0145 | 1.0072 |
| No log | 3.2632 | 124 | 1.1045 | 0.0980 | 1.1045 | 1.0509 |
| No log | 3.3158 | 126 | 0.9946 | 0.1599 | 0.9946 | 0.9973 |
| No log | 3.3684 | 128 | 0.7739 | 0.1352 | 0.7739 | 0.8797 |
| No log | 3.4211 | 130 | 0.7101 | 0.2085 | 0.7101 | 0.8427 |
| No log | 3.4737 | 132 | 0.7805 | 0.3637 | 0.7805 | 0.8835 |
| No log | 3.5263 | 134 | 0.7434 | 0.3444 | 0.7434 | 0.8622 |
| No log | 3.5789 | 136 | 0.6953 | 0.2413 | 0.6953 | 0.8339 |
| No log | 3.6316 | 138 | 0.7040 | 0.3170 | 0.7040 | 0.8390 |
| No log | 3.6842 | 140 | 0.6684 | 0.3995 | 0.6684 | 0.8176 |
| No log | 3.7368 | 142 | 0.7049 | 0.3950 | 0.7049 | 0.8396 |
| No log | 3.7895 | 144 | 0.7407 | 0.3302 | 0.7407 | 0.8606 |
| No log | 3.8421 | 146 | 0.6939 | 0.3594 | 0.6939 | 0.8330 |
| No log | 3.8947 | 148 | 0.6145 | 0.4276 | 0.6145 | 0.7839 |
| No log | 3.9474 | 150 | 0.7237 | 0.4066 | 0.7237 | 0.8507 |
| No log | 4.0 | 152 | 0.8352 | 0.3551 | 0.8352 | 0.9139 |
| No log | 4.0526 | 154 | 0.8765 | 0.3761 | 0.8765 | 0.9362 |
| No log | 4.1053 | 156 | 0.7751 | 0.3872 | 0.7751 | 0.8804 |
| No log | 4.1579 | 158 | 0.6336 | 0.4635 | 0.6336 | 0.7960 |
| No log | 4.2105 | 160 | 0.5841 | 0.4052 | 0.5841 | 0.7643 |
| No log | 4.2632 | 162 | 0.6131 | 0.4306 | 0.6131 | 0.7830 |
| No log | 4.3158 | 164 | 0.6192 | 0.4035 | 0.6192 | 0.7869 |
| No log | 4.3684 | 166 | 0.6553 | 0.3789 | 0.6553 | 0.8095 |
| No log | 4.4211 | 168 | 0.6587 | 0.3950 | 0.6587 | 0.8116 |
| No log | 4.4737 | 170 | 0.6846 | 0.4430 | 0.6846 | 0.8274 |
| No log | 4.5263 | 172 | 0.6429 | 0.3622 | 0.6429 | 0.8018 |
| No log | 4.5789 | 174 | 0.6470 | 0.2336 | 0.6470 | 0.8044 |
| No log | 4.6316 | 176 | 0.6701 | 0.2405 | 0.6701 | 0.8186 |
| No log | 4.6842 | 178 | 0.6438 | 0.2405 | 0.6438 | 0.8024 |
| No log | 4.7368 | 180 | 0.6182 | 0.2336 | 0.6182 | 0.7863 |
| No log | 4.7895 | 182 | 0.6118 | 0.2641 | 0.6118 | 0.7822 |
| No log | 4.8421 | 184 | 0.6122 | 0.3659 | 0.6122 | 0.7824 |
| No log | 4.8947 | 186 | 0.6488 | 0.4298 | 0.6488 | 0.8055 |
| No log | 4.9474 | 188 | 0.7409 | 0.3707 | 0.7409 | 0.8607 |
| No log | 5.0 | 190 | 0.7190 | 0.3948 | 0.7190 | 0.8479 |
| No log | 5.0526 | 192 | 0.6369 | 0.4991 | 0.6369 | 0.7981 |
| No log | 5.1053 | 194 | 0.6694 | 0.5239 | 0.6694 | 0.8182 |
| No log | 5.1579 | 196 | 0.7010 | 0.5471 | 0.7010 | 0.8372 |
| No log | 5.2105 | 198 | 0.6277 | 0.5625 | 0.6277 | 0.7923 |
| No log | 5.2632 | 200 | 0.5910 | 0.5057 | 0.5910 | 0.7688 |
| No log | 5.3158 | 202 | 0.6067 | 0.5493 | 0.6067 | 0.7789 |
| No log | 5.3684 | 204 | 0.7122 | 0.3872 | 0.7122 | 0.8439 |
| No log | 5.4211 | 206 | 0.7615 | 0.3559 | 0.7615 | 0.8726 |
| No log | 5.4737 | 208 | 0.7182 | 0.4482 | 0.7182 | 0.8474 |
| No log | 5.5263 | 210 | 0.5950 | 0.4849 | 0.5950 | 0.7714 |
| No log | 5.5789 | 212 | 0.5588 | 0.4526 | 0.5588 | 0.7476 |
| No log | 5.6316 | 214 | 0.5636 | 0.4878 | 0.5636 | 0.7507 |
| No log | 5.6842 | 216 | 0.6178 | 0.4869 | 0.6178 | 0.7860 |
| No log | 5.7368 | 218 | 0.7503 | 0.3471 | 0.7503 | 0.8662 |
| No log | 5.7895 | 220 | 0.7560 | 0.3455 | 0.7560 | 0.8695 |
| No log | 5.8421 | 222 | 0.6523 | 0.4888 | 0.6523 | 0.8077 |
| No log | 5.8947 | 224 | 0.5655 | 0.4878 | 0.5655 | 0.7520 |
| No log | 5.9474 | 226 | 0.5965 | 0.5016 | 0.5965 | 0.7723 |
| No log | 6.0 | 228 | 0.5936 | 0.5081 | 0.5936 | 0.7704 |
| No log | 6.0526 | 230 | 0.5566 | 0.5404 | 0.5566 | 0.7461 |
| No log | 6.1053 | 232 | 0.5568 | 0.5143 | 0.5568 | 0.7462 |
| No log | 6.1579 | 234 | 0.6382 | 0.4914 | 0.6382 | 0.7989 |
| No log | 6.2105 | 236 | 0.6315 | 0.4290 | 0.6315 | 0.7947 |
| No log | 6.2632 | 238 | 0.5636 | 0.4789 | 0.5636 | 0.7507 |
| No log | 6.3158 | 240 | 0.6381 | 0.4606 | 0.6381 | 0.7988 |
| No log | 6.3684 | 242 | 0.8905 | 0.3608 | 0.8905 | 0.9437 |
| No log | 6.4211 | 244 | 0.9371 | 0.2872 | 0.9371 | 0.9681 |
| No log | 6.4737 | 246 | 0.7778 | 0.4102 | 0.7778 | 0.8819 |
| No log | 6.5263 | 248 | 0.6462 | 0.4035 | 0.6462 | 0.8038 |
| No log | 6.5789 | 250 | 0.6288 | 0.3717 | 0.6288 | 0.7930 |
| No log | 6.6316 | 252 | 0.6721 | 0.3953 | 0.6721 | 0.8198 |
| No log | 6.6842 | 254 | 0.7368 | 0.3675 | 0.7368 | 0.8584 |
| No log | 6.7368 | 256 | 0.7577 | 0.3593 | 0.7577 | 0.8705 |
| No log | 6.7895 | 258 | 0.7033 | 0.4064 | 0.7033 | 0.8386 |
| No log | 6.8421 | 260 | 0.6837 | 0.4205 | 0.6837 | 0.8269 |
| No log | 6.8947 | 262 | 0.6913 | 0.4425 | 0.6913 | 0.8314 |
| No log | 6.9474 | 264 | 0.6713 | 0.4391 | 0.6713 | 0.8193 |
| No log | 7.0 | 266 | 0.6009 | 0.3603 | 0.6009 | 0.7752 |
| No log | 7.0526 | 268 | 0.5780 | 0.4253 | 0.5780 | 0.7603 |
| No log | 7.1053 | 270 | 0.5800 | 0.3454 | 0.5800 | 0.7616 |
| No log | 7.1579 | 272 | 0.5887 | 0.3883 | 0.5887 | 0.7673 |
| No log | 7.2105 | 274 | 0.6276 | 0.4087 | 0.6276 | 0.7922 |
| No log | 7.2632 | 276 | 0.5891 | 0.4044 | 0.5891 | 0.7675 |
| No log | 7.3158 | 278 | 0.5597 | 0.4029 | 0.5597 | 0.7481 |
| No log | 7.3684 | 280 | 0.5597 | 0.4190 | 0.5597 | 0.7481 |
| No log | 7.4211 | 282 | 0.5627 | 0.6065 | 0.5627 | 0.7501 |
| No log | 7.4737 | 284 | 0.5947 | 0.3726 | 0.5947 | 0.7711 |
| No log | 7.5263 | 286 | 0.7172 | 0.4527 | 0.7172 | 0.8469 |
| No log | 7.5789 | 288 | 0.8820 | 0.4033 | 0.8820 | 0.9391 |
| No log | 7.6316 | 290 | 0.8188 | 0.3976 | 0.8188 | 0.9049 |
| No log | 7.6842 | 292 | 0.6332 | 0.4817 | 0.6332 | 0.7957 |
| No log | 7.7368 | 294 | 0.5270 | 0.6171 | 0.5270 | 0.7259 |
| No log | 7.7895 | 296 | 0.5300 | 0.6147 | 0.5300 | 0.7280 |
| No log | 7.8421 | 298 | 0.5179 | 0.6334 | 0.5179 | 0.7196 |
| No log | 7.8947 | 300 | 0.4903 | 0.6818 | 0.4903 | 0.7002 |
| No log | 7.9474 | 302 | 0.5064 | 0.6310 | 0.5064 | 0.7116 |
| No log | 8.0 | 304 | 0.5358 | 0.5674 | 0.5358 | 0.7320 |
| No log | 8.0526 | 306 | 0.5254 | 0.6100 | 0.5254 | 0.7249 |
| No log | 8.1053 | 308 | 0.5102 | 0.6158 | 0.5102 | 0.7143 |
| No log | 8.1579 | 310 | 0.4975 | 0.6479 | 0.4975 | 0.7053 |
| No log | 8.2105 | 312 | 0.5062 | 0.6426 | 0.5062 | 0.7115 |
| No log | 8.2632 | 314 | 0.5119 | 0.6517 | 0.5119 | 0.7155 |
| No log | 8.3158 | 316 | 0.5269 | 0.5009 | 0.5269 | 0.7259 |
| No log | 8.3684 | 318 | 0.5444 | 0.4635 | 0.5444 | 0.7379 |
| No log | 8.4211 | 320 | 0.5486 | 0.4813 | 0.5486 | 0.7407 |
| No log | 8.4737 | 322 | 0.5262 | 0.5939 | 0.5262 | 0.7254 |
| No log | 8.5263 | 324 | 0.5240 | 0.6405 | 0.5240 | 0.7239 |
| No log | 8.5789 | 326 | 0.5309 | 0.6336 | 0.5309 | 0.7286 |
| No log | 8.6316 | 328 | 0.5301 | 0.6923 | 0.5301 | 0.7281 |
| No log | 8.6842 | 330 | 0.5328 | 0.6765 | 0.5328 | 0.7299 |
| No log | 8.7368 | 332 | 0.5207 | 0.6835 | 0.5207 | 0.7216 |
| No log | 8.7895 | 334 | 0.5102 | 0.6541 | 0.5102 | 0.7143 |
| No log | 8.8421 | 336 | 0.5170 | 0.6541 | 0.5170 | 0.7191 |
| No log | 8.8947 | 338 | 0.5296 | 0.6001 | 0.5296 | 0.7277 |
| No log | 8.9474 | 340 | 0.5434 | 0.5867 | 0.5434 | 0.7371 |
| No log | 9.0 | 342 | 0.5337 | 0.6377 | 0.5337 | 0.7306 |
| No log | 9.0526 | 344 | 0.5510 | 0.6382 | 0.5510 | 0.7423 |
| No log | 9.1053 | 346 | 0.5588 | 0.6409 | 0.5588 | 0.7475 |
| No log | 9.1579 | 348 | 0.6242 | 0.4434 | 0.6242 | 0.7900 |
| No log | 9.2105 | 350 | 0.6885 | 0.4243 | 0.6885 | 0.8297 |
| No log | 9.2632 | 352 | 0.6701 | 0.4243 | 0.6701 | 0.8186 |
| No log | 9.3158 | 354 | 0.5596 | 0.5533 | 0.5596 | 0.7481 |
| No log | 9.3684 | 356 | 0.5318 | 0.6416 | 0.5318 | 0.7292 |
| No log | 9.4211 | 358 | 0.5289 | 0.6416 | 0.5289 | 0.7272 |
| No log | 9.4737 | 360 | 0.5537 | 0.4689 | 0.5537 | 0.7441 |
| No log | 9.5263 | 362 | 0.5118 | 0.6158 | 0.5118 | 0.7154 |
| No log | 9.5789 | 364 | 0.4995 | 0.6541 | 0.4995 | 0.7068 |
| No log | 9.6316 | 366 | 0.5041 | 0.6431 | 0.5041 | 0.7100 |
| No log | 9.6842 | 368 | 0.4997 | 0.6650 | 0.4997 | 0.7069 |
| No log | 9.7368 | 370 | 0.5046 | 0.6730 | 0.5046 | 0.7104 |
| No log | 9.7895 | 372 | 0.5210 | 0.6118 | 0.5210 | 0.7218 |
| No log | 9.8421 | 374 | 0.5197 | 0.6481 | 0.5197 | 0.7209 |
| No log | 9.8947 | 376 | 0.5303 | 0.6040 | 0.5303 | 0.7282 |
| No log | 9.9474 | 378 | 0.5309 | 0.6245 | 0.5309 | 0.7287 |
| No log | 10.0 | 380 | 0.5572 | 0.5344 | 0.5572 | 0.7464 |
| No log | 10.0526 | 382 | 0.5483 | 0.5589 | 0.5483 | 0.7405 |
| No log | 10.1053 | 384 | 0.5445 | 0.5589 | 0.5445 | 0.7379 |
| No log | 10.1579 | 386 | 0.5510 | 0.5589 | 0.5510 | 0.7423 |
| No log | 10.2105 | 388 | 0.5407 | 0.5610 | 0.5407 | 0.7353 |
| No log | 10.2632 | 390 | 0.5543 | 0.5434 | 0.5543 | 0.7445 |
| No log | 10.3158 | 392 | 0.5367 | 0.5741 | 0.5367 | 0.7326 |
| No log | 10.3684 | 394 | 0.5312 | 0.5363 | 0.5312 | 0.7289 |
| No log | 10.4211 | 396 | 0.5200 | 0.6645 | 0.5200 | 0.7211 |
| No log | 10.4737 | 398 | 0.5269 | 0.6561 | 0.5269 | 0.7259 |
| No log | 10.5263 | 400 | 0.5366 | 0.6918 | 0.5366 | 0.7325 |
| No log | 10.5789 | 402 | 0.5466 | 0.6416 | 0.5466 | 0.7393 |
| No log | 10.6316 | 404 | 0.5773 | 0.5185 | 0.5773 | 0.7598 |
| No log | 10.6842 | 406 | 0.5943 | 0.4835 | 0.5943 | 0.7709 |
| No log | 10.7368 | 408 | 0.5589 | 0.5884 | 0.5589 | 0.7476 |
| No log | 10.7895 | 410 | 0.5476 | 0.6593 | 0.5476 | 0.7400 |
| No log | 10.8421 | 412 | 0.5348 | 0.7004 | 0.5348 | 0.7313 |
| No log | 10.8947 | 414 | 0.5431 | 0.6593 | 0.5431 | 0.7370 |
| No log | 10.9474 | 416 | 0.5798 | 0.4942 | 0.5798 | 0.7615 |
| No log | 11.0 | 418 | 0.5799 | 0.5299 | 0.5799 | 0.7615 |
| No log | 11.0526 | 420 | 0.5356 | 0.6244 | 0.5356 | 0.7318 |
| No log | 11.1053 | 422 | 0.5317 | 0.6064 | 0.5317 | 0.7292 |
| No log | 11.1579 | 424 | 0.5317 | 0.6244 | 0.5317 | 0.7292 |
| No log | 11.2105 | 426 | 0.5302 | 0.5669 | 0.5302 | 0.7281 |
| No log | 11.2632 | 428 | 0.5346 | 0.5677 | 0.5346 | 0.7311 |
| No log | 11.3158 | 430 | 0.5705 | 0.4480 | 0.5705 | 0.7553 |
| No log | 11.3684 | 432 | 0.5710 | 0.4149 | 0.5710 | 0.7556 |
| No log | 11.4211 | 434 | 0.5577 | 0.4762 | 0.5577 | 0.7468 |
| No log | 11.4737 | 436 | 0.5453 | 0.4955 | 0.5453 | 0.7384 |
| No log | 11.5263 | 438 | 0.5462 | 0.5159 | 0.5462 | 0.7390 |
| No log | 11.5789 | 440 | 0.5716 | 0.5195 | 0.5716 | 0.7560 |
| No log | 11.6316 | 442 | 0.5580 | 0.5472 | 0.5580 | 0.7470 |
| No log | 11.6842 | 444 | 0.5511 | 0.6041 | 0.5511 | 0.7424 |
| No log | 11.7368 | 446 | 0.5577 | 0.6041 | 0.5577 | 0.7468 |
| No log | 11.7895 | 448 | 0.5992 | 0.5426 | 0.5992 | 0.7741 |
| No log | 11.8421 | 450 | 0.6497 | 0.4455 | 0.6497 | 0.8060 |
| No log | 11.8947 | 452 | 0.6230 | 0.3772 | 0.6230 | 0.7893 |
| No log | 11.9474 | 454 | 0.5796 | 0.5823 | 0.5796 | 0.7613 |
| No log | 12.0 | 456 | 0.5694 | 0.6083 | 0.5694 | 0.7546 |
| No log | 12.0526 | 458 | 0.5748 | 0.6083 | 0.5748 | 0.7582 |
| No log | 12.1053 | 460 | 0.5671 | 0.5840 | 0.5671 | 0.7531 |
| No log | 12.1579 | 462 | 0.6063 | 0.4693 | 0.6063 | 0.7786 |
| No log | 12.2105 | 464 | 0.6362 | 0.4290 | 0.6362 | 0.7976 |
| No log | 12.2632 | 466 | 0.5975 | 0.4692 | 0.5975 | 0.7730 |
| No log | 12.3158 | 468 | 0.5764 | 0.5891 | 0.5764 | 0.7592 |
| No log | 12.3684 | 470 | 0.5827 | 0.5961 | 0.5827 | 0.7634 |
| No log | 12.4211 | 472 | 0.5753 | 0.5891 | 0.5753 | 0.7585 |
| No log | 12.4737 | 474 | 0.5747 | 0.5891 | 0.5747 | 0.7581 |
| No log | 12.5263 | 476 | 0.5676 | 0.5701 | 0.5676 | 0.7534 |
| No log | 12.5789 | 478 | 0.5693 | 0.6307 | 0.5693 | 0.7545 |
| No log | 12.6316 | 480 | 0.5889 | 0.5867 | 0.5889 | 0.7674 |
| No log | 12.6842 | 482 | 0.6361 | 0.4811 | 0.6361 | 0.7976 |
| No log | 12.7368 | 484 | 0.6664 | 0.4470 | 0.6664 | 0.8163 |
| No log | 12.7895 | 486 | 0.7007 | 0.3810 | 0.7007 | 0.8371 |
| No log | 12.8421 | 488 | 0.6718 | 0.4195 | 0.6718 | 0.8196 |
| No log | 12.8947 | 490 | 0.6039 | 0.4817 | 0.6039 | 0.7771 |
| No log | 12.9474 | 492 | 0.5464 | 0.6388 | 0.5464 | 0.7392 |
| No log | 13.0 | 494 | 0.5599 | 0.6160 | 0.5599 | 0.7483 |
| No log | 13.0526 | 496 | 0.5986 | 0.5817 | 0.5986 | 0.7737 |
| No log | 13.1053 | 498 | 0.5675 | 0.6240 | 0.5675 | 0.7534 |
| 0.3976 | 13.1579 | 500 | 0.5337 | 0.6741 | 0.5337 | 0.7306 |
| 0.3976 | 13.2105 | 502 | 0.5617 | 0.5190 | 0.5617 | 0.7495 |
| 0.3976 | 13.2632 | 504 | 0.5656 | 0.5332 | 0.5656 | 0.7521 |
| 0.3976 | 13.3158 | 506 | 0.5302 | 0.6301 | 0.5302 | 0.7282 |
| 0.3976 | 13.3684 | 508 | 0.5254 | 0.6289 | 0.5254 | 0.7249 |
| 0.3976 | 13.4211 | 510 | 0.5370 | 0.6118 | 0.5370 | 0.7328 |
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_run3_AugV5_k11_task7_organization
Base model
aubmindlab/bert-base-arabertv02