ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k12_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: 0.5617
- Qwk: 0.3925
- Mse: 0.5617
- Rmse: 0.7495
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 | 0.0323 | 2 | 2.5973 | -0.0262 | 2.5973 | 1.6116 |
| No log | 0.0645 | 4 | 1.3390 | 0.0726 | 1.3390 | 1.1572 |
| No log | 0.0968 | 6 | 1.1960 | -0.1255 | 1.1960 | 1.0936 |
| No log | 0.1290 | 8 | 0.9288 | 0.0168 | 0.9288 | 0.9637 |
| No log | 0.1613 | 10 | 0.7624 | 0.3008 | 0.7624 | 0.8731 |
| No log | 0.1935 | 12 | 0.6502 | 0.2506 | 0.6502 | 0.8064 |
| No log | 0.2258 | 14 | 0.6415 | 0.2506 | 0.6415 | 0.8010 |
| No log | 0.2581 | 16 | 0.6657 | 0.2080 | 0.6657 | 0.8159 |
| No log | 0.2903 | 18 | 0.6947 | 0.2490 | 0.6947 | 0.8335 |
| No log | 0.3226 | 20 | 0.6256 | 0.1561 | 0.6256 | 0.7910 |
| No log | 0.3548 | 22 | 0.6301 | 0.1094 | 0.6301 | 0.7938 |
| No log | 0.3871 | 24 | 0.6785 | 0.2142 | 0.6785 | 0.8237 |
| No log | 0.4194 | 26 | 0.6729 | 0.2892 | 0.6729 | 0.8203 |
| No log | 0.4516 | 28 | 0.6593 | 0.2024 | 0.6593 | 0.8120 |
| No log | 0.4839 | 30 | 0.6674 | 0.2308 | 0.6674 | 0.8170 |
| No log | 0.5161 | 32 | 0.7159 | 0.2063 | 0.7159 | 0.8461 |
| No log | 0.5484 | 34 | 0.7204 | 0.2412 | 0.7204 | 0.8487 |
| No log | 0.5806 | 36 | 0.7101 | 0.2181 | 0.7101 | 0.8427 |
| No log | 0.6129 | 38 | 0.7217 | 0.2641 | 0.7217 | 0.8495 |
| No log | 0.6452 | 40 | 0.8925 | 0.1628 | 0.8925 | 0.9447 |
| No log | 0.6774 | 42 | 0.9431 | 0.2202 | 0.9431 | 0.9711 |
| No log | 0.7097 | 44 | 0.7637 | 0.1372 | 0.7637 | 0.8739 |
| No log | 0.7419 | 46 | 0.7443 | 0.2692 | 0.7443 | 0.8627 |
| No log | 0.7742 | 48 | 1.1542 | 0.2543 | 1.1542 | 1.0743 |
| No log | 0.8065 | 50 | 1.2314 | 0.1654 | 1.2314 | 1.1097 |
| No log | 0.8387 | 52 | 1.0676 | 0.2683 | 1.0676 | 1.0333 |
| No log | 0.8710 | 54 | 0.8377 | 0.2063 | 0.8377 | 0.9153 |
| No log | 0.9032 | 56 | 0.7436 | 0.0327 | 0.7436 | 0.8623 |
| No log | 0.9355 | 58 | 0.7566 | 0.0 | 0.7566 | 0.8699 |
| No log | 0.9677 | 60 | 0.8087 | 0.1372 | 0.8087 | 0.8993 |
| No log | 1.0 | 62 | 0.8468 | 0.1739 | 0.8468 | 0.9202 |
| No log | 1.0323 | 64 | 0.8207 | 0.1786 | 0.8207 | 0.9059 |
| No log | 1.0645 | 66 | 0.7372 | 0.1327 | 0.7372 | 0.8586 |
| No log | 1.0968 | 68 | 0.7048 | 0.1407 | 0.7048 | 0.8395 |
| No log | 1.1290 | 70 | 0.7582 | 0.3372 | 0.7582 | 0.8708 |
| No log | 1.1613 | 72 | 0.9905 | 0.3231 | 0.9905 | 0.9952 |
| No log | 1.1935 | 74 | 1.1077 | 0.2600 | 1.1077 | 1.0525 |
| No log | 1.2258 | 76 | 1.0273 | 0.2806 | 1.0273 | 1.0135 |
| No log | 1.2581 | 78 | 0.8267 | 0.3494 | 0.8267 | 0.9092 |
| No log | 1.2903 | 80 | 0.6893 | 0.1598 | 0.6893 | 0.8303 |
| No log | 1.3226 | 82 | 0.6701 | 0.1903 | 0.6701 | 0.8186 |
| No log | 1.3548 | 84 | 0.6580 | 0.1942 | 0.6580 | 0.8111 |
| No log | 1.3871 | 86 | 0.6325 | 0.2243 | 0.6325 | 0.7953 |
| No log | 1.4194 | 88 | 0.6267 | 0.2913 | 0.6267 | 0.7916 |
| No log | 1.4516 | 90 | 0.6514 | 0.3425 | 0.6514 | 0.8071 |
| No log | 1.4839 | 92 | 0.6956 | 0.3590 | 0.6956 | 0.8340 |
| No log | 1.5161 | 94 | 0.7719 | 0.3384 | 0.7719 | 0.8786 |
| No log | 1.5484 | 96 | 0.8984 | 0.3731 | 0.8984 | 0.9478 |
| No log | 1.5806 | 98 | 1.1361 | 0.2518 | 1.1361 | 1.0659 |
| No log | 1.6129 | 100 | 1.0829 | 0.2665 | 1.0829 | 1.0406 |
| No log | 1.6452 | 102 | 0.7200 | 0.3261 | 0.7200 | 0.8485 |
| No log | 1.6774 | 104 | 0.6699 | 0.4126 | 0.6699 | 0.8185 |
| No log | 1.7097 | 106 | 0.8307 | 0.2704 | 0.8307 | 0.9114 |
| No log | 1.7419 | 108 | 1.1699 | 0.2214 | 1.1699 | 1.0816 |
| No log | 1.7742 | 110 | 1.0801 | 0.2474 | 1.0801 | 1.0393 |
| No log | 1.8065 | 112 | 0.7544 | 0.3556 | 0.7544 | 0.8686 |
| No log | 1.8387 | 114 | 0.6425 | 0.4157 | 0.6425 | 0.8016 |
| No log | 1.8710 | 116 | 0.9570 | 0.3305 | 0.9570 | 0.9783 |
| No log | 1.9032 | 118 | 0.9542 | 0.2999 | 0.9542 | 0.9768 |
| No log | 1.9355 | 120 | 0.8011 | 0.3538 | 0.8011 | 0.8951 |
| No log | 1.9677 | 122 | 0.6511 | 0.2652 | 0.6511 | 0.8069 |
| No log | 2.0 | 124 | 0.6266 | 0.2987 | 0.6266 | 0.7916 |
| No log | 2.0323 | 126 | 0.6301 | 0.3289 | 0.6301 | 0.7938 |
| No log | 2.0645 | 128 | 0.6382 | 0.3836 | 0.6382 | 0.7989 |
| No log | 2.0968 | 130 | 0.7564 | 0.3131 | 0.7564 | 0.8697 |
| No log | 2.1290 | 132 | 0.8039 | 0.3754 | 0.8039 | 0.8966 |
| No log | 2.1613 | 134 | 0.7122 | 0.2871 | 0.7122 | 0.8439 |
| No log | 2.1935 | 136 | 0.7241 | 0.2871 | 0.7241 | 0.8510 |
| No log | 2.2258 | 138 | 0.7073 | 0.3519 | 0.7073 | 0.8410 |
| No log | 2.2581 | 140 | 0.6731 | 0.3918 | 0.6731 | 0.8204 |
| No log | 2.2903 | 142 | 0.6004 | 0.3919 | 0.6004 | 0.7749 |
| No log | 2.3226 | 144 | 0.5854 | 0.3865 | 0.5854 | 0.7651 |
| No log | 2.3548 | 146 | 0.6330 | 0.4167 | 0.6330 | 0.7956 |
| No log | 2.3871 | 148 | 0.6169 | 0.4513 | 0.6169 | 0.7854 |
| No log | 2.4194 | 150 | 0.5444 | 0.4726 | 0.5444 | 0.7379 |
| No log | 2.4516 | 152 | 0.5332 | 0.4345 | 0.5332 | 0.7302 |
| No log | 2.4839 | 154 | 0.5156 | 0.5133 | 0.5156 | 0.7180 |
| No log | 2.5161 | 156 | 0.5310 | 0.5501 | 0.5310 | 0.7287 |
| No log | 2.5484 | 158 | 0.5731 | 0.4948 | 0.5731 | 0.7570 |
| No log | 2.5806 | 160 | 0.5350 | 0.5159 | 0.5350 | 0.7314 |
| No log | 2.6129 | 162 | 0.6012 | 0.4985 | 0.6012 | 0.7754 |
| No log | 2.6452 | 164 | 0.6942 | 0.4818 | 0.6942 | 0.8332 |
| No log | 2.6774 | 166 | 0.5966 | 0.5195 | 0.5966 | 0.7724 |
| No log | 2.7097 | 168 | 0.5574 | 0.4934 | 0.5574 | 0.7466 |
| No log | 2.7419 | 170 | 0.5679 | 0.4934 | 0.5679 | 0.7536 |
| No log | 2.7742 | 172 | 0.5867 | 0.4412 | 0.5867 | 0.7660 |
| No log | 2.8065 | 174 | 0.6948 | 0.4214 | 0.6948 | 0.8335 |
| No log | 2.8387 | 176 | 0.6472 | 0.4301 | 0.6472 | 0.8045 |
| No log | 2.8710 | 178 | 0.5681 | 0.5003 | 0.5681 | 0.7537 |
| No log | 2.9032 | 180 | 0.7063 | 0.3894 | 0.7063 | 0.8404 |
| No log | 2.9355 | 182 | 0.8182 | 0.4008 | 0.8182 | 0.9046 |
| No log | 2.9677 | 184 | 0.7271 | 0.4144 | 0.7271 | 0.8527 |
| No log | 3.0 | 186 | 0.6171 | 0.3637 | 0.6171 | 0.7856 |
| No log | 3.0323 | 188 | 0.5784 | 0.3939 | 0.5784 | 0.7605 |
| No log | 3.0645 | 190 | 0.5916 | 0.3780 | 0.5916 | 0.7692 |
| No log | 3.0968 | 192 | 0.5813 | 0.3787 | 0.5813 | 0.7624 |
| No log | 3.1290 | 194 | 0.6612 | 0.4112 | 0.6612 | 0.8131 |
| No log | 3.1613 | 196 | 0.8292 | 0.4228 | 0.8292 | 0.9106 |
| No log | 3.1935 | 198 | 0.8419 | 0.4228 | 0.8419 | 0.9175 |
| No log | 3.2258 | 200 | 0.6636 | 0.4464 | 0.6636 | 0.8146 |
| No log | 3.2581 | 202 | 0.5596 | 0.5184 | 0.5596 | 0.7481 |
| No log | 3.2903 | 204 | 0.5963 | 0.4875 | 0.5963 | 0.7722 |
| No log | 3.3226 | 206 | 0.6468 | 0.4986 | 0.6468 | 0.8042 |
| No log | 3.3548 | 208 | 0.6163 | 0.4807 | 0.6163 | 0.7851 |
| No log | 3.3871 | 210 | 0.5804 | 0.4555 | 0.5804 | 0.7618 |
| No log | 3.4194 | 212 | 0.5569 | 0.5177 | 0.5569 | 0.7463 |
| No log | 3.4516 | 214 | 0.5482 | 0.4934 | 0.5482 | 0.7404 |
| No log | 3.4839 | 216 | 0.5511 | 0.4953 | 0.5511 | 0.7424 |
| No log | 3.5161 | 218 | 0.5750 | 0.4174 | 0.5750 | 0.7583 |
| No log | 3.5484 | 220 | 0.6513 | 0.4097 | 0.6513 | 0.8070 |
| No log | 3.5806 | 222 | 0.6196 | 0.3693 | 0.6196 | 0.7871 |
| No log | 3.6129 | 224 | 0.5383 | 0.4681 | 0.5383 | 0.7337 |
| No log | 3.6452 | 226 | 0.5543 | 0.4705 | 0.5543 | 0.7445 |
| No log | 3.6774 | 228 | 0.6007 | 0.4430 | 0.6007 | 0.7750 |
| No log | 3.7097 | 230 | 0.5549 | 0.4705 | 0.5549 | 0.7449 |
| No log | 3.7419 | 232 | 0.5407 | 0.3426 | 0.5407 | 0.7353 |
| No log | 3.7742 | 234 | 0.5427 | 0.3426 | 0.5427 | 0.7367 |
| No log | 3.8065 | 236 | 0.5491 | 0.3863 | 0.5491 | 0.7410 |
| No log | 3.8387 | 238 | 0.5808 | 0.4375 | 0.5808 | 0.7621 |
| No log | 3.8710 | 240 | 0.6088 | 0.4134 | 0.6088 | 0.7803 |
| No log | 3.9032 | 242 | 0.5536 | 0.3813 | 0.5536 | 0.7440 |
| No log | 3.9355 | 244 | 0.5448 | 0.3813 | 0.5448 | 0.7381 |
| No log | 3.9677 | 246 | 0.5353 | 0.4504 | 0.5353 | 0.7316 |
| No log | 4.0 | 248 | 0.5359 | 0.4504 | 0.5359 | 0.7320 |
| No log | 4.0323 | 250 | 0.5530 | 0.3813 | 0.5530 | 0.7436 |
| No log | 4.0645 | 252 | 0.5629 | 0.3813 | 0.5629 | 0.7503 |
| No log | 4.0968 | 254 | 0.5950 | 0.3919 | 0.5950 | 0.7714 |
| No log | 4.1290 | 256 | 0.6390 | 0.3444 | 0.6390 | 0.7994 |
| No log | 4.1613 | 258 | 0.6228 | 0.3518 | 0.6228 | 0.7892 |
| No log | 4.1935 | 260 | 0.6720 | 0.3972 | 0.6720 | 0.8197 |
| No log | 4.2258 | 262 | 0.7033 | 0.3770 | 0.7033 | 0.8386 |
| No log | 4.2581 | 264 | 0.6181 | 0.3814 | 0.6181 | 0.7862 |
| No log | 4.2903 | 266 | 0.6022 | 0.3865 | 0.6022 | 0.7760 |
| No log | 4.3226 | 268 | 0.6181 | 0.3814 | 0.6181 | 0.7862 |
| No log | 4.3548 | 270 | 0.6502 | 0.4247 | 0.6502 | 0.8063 |
| No log | 4.3871 | 272 | 0.6628 | 0.4036 | 0.6628 | 0.8141 |
| No log | 4.4194 | 274 | 0.6511 | 0.4036 | 0.6511 | 0.8069 |
| No log | 4.4516 | 276 | 0.5992 | 0.4044 | 0.5992 | 0.7741 |
| No log | 4.4839 | 278 | 0.5996 | 0.3577 | 0.5996 | 0.7743 |
| No log | 4.5161 | 280 | 0.6350 | 0.2947 | 0.6350 | 0.7968 |
| No log | 4.5484 | 282 | 0.6312 | 0.2947 | 0.6312 | 0.7945 |
| No log | 4.5806 | 284 | 0.6104 | 0.3170 | 0.6104 | 0.7813 |
| No log | 4.6129 | 286 | 0.5892 | 0.3170 | 0.5892 | 0.7676 |
| No log | 4.6452 | 288 | 0.5680 | 0.3551 | 0.5680 | 0.7537 |
| No log | 4.6774 | 290 | 0.5440 | 0.4124 | 0.5440 | 0.7376 |
| No log | 4.7097 | 292 | 0.5660 | 0.4769 | 0.5660 | 0.7523 |
| No log | 4.7419 | 294 | 0.5668 | 0.4769 | 0.5668 | 0.7528 |
| No log | 4.7742 | 296 | 0.5699 | 0.4769 | 0.5699 | 0.7549 |
| No log | 4.8065 | 298 | 0.5540 | 0.4769 | 0.5540 | 0.7443 |
| No log | 4.8387 | 300 | 0.4861 | 0.5056 | 0.4861 | 0.6972 |
| No log | 4.8710 | 302 | 0.4634 | 0.5413 | 0.4634 | 0.6808 |
| No log | 4.9032 | 304 | 0.4684 | 0.5571 | 0.4684 | 0.6844 |
| No log | 4.9355 | 306 | 0.4585 | 0.6170 | 0.4585 | 0.6771 |
| No log | 4.9677 | 308 | 0.4535 | 0.6267 | 0.4535 | 0.6734 |
| No log | 5.0 | 310 | 0.4600 | 0.5993 | 0.4600 | 0.6782 |
| No log | 5.0323 | 312 | 0.4833 | 0.5368 | 0.4833 | 0.6952 |
| No log | 5.0645 | 314 | 0.5475 | 0.5650 | 0.5475 | 0.7399 |
| No log | 5.0968 | 316 | 0.5362 | 0.5724 | 0.5362 | 0.7323 |
| No log | 5.1290 | 318 | 0.4730 | 0.6383 | 0.4730 | 0.6877 |
| No log | 5.1613 | 320 | 0.5257 | 0.4929 | 0.5257 | 0.7250 |
| No log | 5.1935 | 322 | 0.5619 | 0.4997 | 0.5619 | 0.7496 |
| No log | 5.2258 | 324 | 0.5106 | 0.5086 | 0.5106 | 0.7146 |
| No log | 5.2581 | 326 | 0.4856 | 0.4747 | 0.4856 | 0.6969 |
| No log | 5.2903 | 328 | 0.5537 | 0.4474 | 0.5537 | 0.7441 |
| No log | 5.3226 | 330 | 0.6045 | 0.4814 | 0.6045 | 0.7775 |
| No log | 5.3548 | 332 | 0.5549 | 0.4373 | 0.5549 | 0.7449 |
| No log | 5.3871 | 334 | 0.4703 | 0.4929 | 0.4703 | 0.6858 |
| No log | 5.4194 | 336 | 0.5594 | 0.4978 | 0.5594 | 0.7479 |
| No log | 5.4516 | 338 | 0.6697 | 0.4707 | 0.6697 | 0.8184 |
| No log | 5.4839 | 340 | 0.6332 | 0.4562 | 0.6332 | 0.7957 |
| No log | 5.5161 | 342 | 0.5007 | 0.4724 | 0.5007 | 0.7076 |
| No log | 5.5484 | 344 | 0.4817 | 0.6383 | 0.4817 | 0.6940 |
| No log | 5.5806 | 346 | 0.5927 | 0.5216 | 0.5927 | 0.7698 |
| No log | 5.6129 | 348 | 0.7063 | 0.4992 | 0.7063 | 0.8404 |
| No log | 5.6452 | 350 | 0.6355 | 0.5504 | 0.6355 | 0.7972 |
| No log | 5.6774 | 352 | 0.4805 | 0.5846 | 0.4805 | 0.6932 |
| No log | 5.7097 | 354 | 0.5034 | 0.5104 | 0.5034 | 0.7095 |
| No log | 5.7419 | 356 | 0.6088 | 0.4827 | 0.6088 | 0.7802 |
| No log | 5.7742 | 358 | 0.6280 | 0.4827 | 0.6280 | 0.7924 |
| No log | 5.8065 | 360 | 0.5781 | 0.4911 | 0.5781 | 0.7604 |
| No log | 5.8387 | 362 | 0.5528 | 0.4997 | 0.5528 | 0.7435 |
| No log | 5.8710 | 364 | 0.6070 | 0.4911 | 0.6070 | 0.7791 |
| No log | 5.9032 | 366 | 0.6565 | 0.4462 | 0.6565 | 0.8102 |
| No log | 5.9355 | 368 | 0.6950 | 0.4462 | 0.6950 | 0.8337 |
| No log | 5.9677 | 370 | 0.6439 | 0.4795 | 0.6439 | 0.8024 |
| No log | 6.0 | 372 | 0.5498 | 0.4705 | 0.5498 | 0.7415 |
| No log | 6.0323 | 374 | 0.5341 | 0.3947 | 0.5341 | 0.7308 |
| No log | 6.0645 | 376 | 0.5609 | 0.3202 | 0.5609 | 0.7490 |
| No log | 6.0968 | 378 | 0.5708 | 0.3803 | 0.5708 | 0.7555 |
| No log | 6.1290 | 380 | 0.5404 | 0.3061 | 0.5404 | 0.7351 |
| No log | 6.1613 | 382 | 0.5325 | 0.4027 | 0.5325 | 0.7297 |
| No log | 6.1935 | 384 | 0.5518 | 0.4941 | 0.5518 | 0.7429 |
| No log | 6.2258 | 386 | 0.5612 | 0.4502 | 0.5612 | 0.7491 |
| No log | 6.2581 | 388 | 0.5579 | 0.4502 | 0.5579 | 0.7469 |
| No log | 6.2903 | 390 | 0.5364 | 0.4437 | 0.5364 | 0.7324 |
| No log | 6.3226 | 392 | 0.4966 | 0.5307 | 0.4966 | 0.7047 |
| No log | 6.3548 | 394 | 0.4958 | 0.4820 | 0.4958 | 0.7041 |
| No log | 6.3871 | 396 | 0.4995 | 0.4423 | 0.4995 | 0.7068 |
| No log | 6.4194 | 398 | 0.5106 | 0.4724 | 0.5106 | 0.7145 |
| No log | 6.4516 | 400 | 0.5181 | 0.4681 | 0.5181 | 0.7198 |
| No log | 6.4839 | 402 | 0.5184 | 0.4929 | 0.5184 | 0.7200 |
| No log | 6.5161 | 404 | 0.5214 | 0.3916 | 0.5214 | 0.7221 |
| No log | 6.5484 | 406 | 0.5509 | 0.3693 | 0.5509 | 0.7422 |
| No log | 6.5806 | 408 | 0.6336 | 0.4015 | 0.6336 | 0.7960 |
| No log | 6.6129 | 410 | 0.6474 | 0.4015 | 0.6474 | 0.8046 |
| No log | 6.6452 | 412 | 0.5613 | 0.4209 | 0.5613 | 0.7492 |
| No log | 6.6774 | 414 | 0.5036 | 0.4338 | 0.5036 | 0.7097 |
| No log | 6.7097 | 416 | 0.5168 | 0.5307 | 0.5168 | 0.7189 |
| No log | 6.7419 | 418 | 0.5498 | 0.4684 | 0.5498 | 0.7415 |
| No log | 6.7742 | 420 | 0.5359 | 0.4147 | 0.5359 | 0.7320 |
| No log | 6.8065 | 422 | 0.5356 | 0.3889 | 0.5356 | 0.7319 |
| No log | 6.8387 | 424 | 0.5780 | 0.3719 | 0.5780 | 0.7603 |
| No log | 6.8710 | 426 | 0.6296 | 0.4280 | 0.6296 | 0.7935 |
| No log | 6.9032 | 428 | 0.6026 | 0.4280 | 0.6026 | 0.7763 |
| No log | 6.9355 | 430 | 0.5451 | 0.4767 | 0.5451 | 0.7383 |
| No log | 6.9677 | 432 | 0.5159 | 0.4634 | 0.5159 | 0.7183 |
| No log | 7.0 | 434 | 0.5176 | 0.4504 | 0.5176 | 0.7194 |
| No log | 7.0323 | 436 | 0.5239 | 0.4504 | 0.5239 | 0.7238 |
| No log | 7.0645 | 438 | 0.5250 | 0.4504 | 0.5250 | 0.7245 |
| No log | 7.0968 | 440 | 0.5305 | 0.4361 | 0.5305 | 0.7284 |
| No log | 7.1290 | 442 | 0.5382 | 0.3558 | 0.5382 | 0.7336 |
| No log | 7.1613 | 444 | 0.5432 | 0.3273 | 0.5432 | 0.7370 |
| No log | 7.1935 | 446 | 0.5498 | 0.3243 | 0.5498 | 0.7415 |
| No log | 7.2258 | 448 | 0.5741 | 0.2979 | 0.5741 | 0.7577 |
| No log | 7.2581 | 450 | 0.5966 | 0.2776 | 0.5966 | 0.7724 |
| No log | 7.2903 | 452 | 0.5981 | 0.3112 | 0.5981 | 0.7733 |
| No log | 7.3226 | 454 | 0.5828 | 0.3082 | 0.5828 | 0.7634 |
| No log | 7.3548 | 456 | 0.5596 | 0.2947 | 0.5596 | 0.7481 |
| No log | 7.3871 | 458 | 0.5414 | 0.3608 | 0.5414 | 0.7358 |
| No log | 7.4194 | 460 | 0.5392 | 0.3608 | 0.5392 | 0.7343 |
| No log | 7.4516 | 462 | 0.5507 | 0.2947 | 0.5507 | 0.7421 |
| No log | 7.4839 | 464 | 0.5506 | 0.2947 | 0.5506 | 0.7420 |
| No log | 7.5161 | 466 | 0.5739 | 0.3936 | 0.5739 | 0.7575 |
| No log | 7.5484 | 468 | 0.6070 | 0.4021 | 0.6070 | 0.7791 |
| No log | 7.5806 | 470 | 0.6050 | 0.4021 | 0.6050 | 0.7778 |
| No log | 7.6129 | 472 | 0.5496 | 0.4059 | 0.5496 | 0.7413 |
| No log | 7.6452 | 474 | 0.5242 | 0.4161 | 0.5242 | 0.7240 |
| No log | 7.6774 | 476 | 0.5237 | 0.3889 | 0.5237 | 0.7237 |
| No log | 7.7097 | 478 | 0.5261 | 0.3889 | 0.5261 | 0.7253 |
| No log | 7.7419 | 480 | 0.5308 | 0.4068 | 0.5308 | 0.7286 |
| No log | 7.7742 | 482 | 0.5417 | 0.4036 | 0.5417 | 0.7360 |
| No log | 7.8065 | 484 | 0.5394 | 0.4345 | 0.5394 | 0.7345 |
| No log | 7.8387 | 486 | 0.5330 | 0.4703 | 0.5330 | 0.7301 |
| No log | 7.8710 | 488 | 0.5439 | 0.4161 | 0.5439 | 0.7375 |
| No log | 7.9032 | 490 | 0.5627 | 0.2947 | 0.5627 | 0.7501 |
| No log | 7.9355 | 492 | 0.5769 | 0.2641 | 0.5769 | 0.7595 |
| No log | 7.9677 | 494 | 0.5764 | 0.4264 | 0.5764 | 0.7592 |
| No log | 8.0 | 496 | 0.5791 | 0.3814 | 0.5791 | 0.7610 |
| No log | 8.0323 | 498 | 0.5773 | 0.4414 | 0.5773 | 0.7598 |
| 0.3994 | 8.0645 | 500 | 0.5493 | 0.4182 | 0.5493 | 0.7411 |
| 0.3994 | 8.0968 | 502 | 0.5421 | 0.4136 | 0.5421 | 0.7362 |
| 0.3994 | 8.1290 | 504 | 0.5713 | 0.3563 | 0.5713 | 0.7558 |
| 0.3994 | 8.1613 | 506 | 0.6046 | 0.3970 | 0.6046 | 0.7776 |
| 0.3994 | 8.1935 | 508 | 0.5956 | 0.3970 | 0.5956 | 0.7717 |
| 0.3994 | 8.2258 | 510 | 0.5617 | 0.3925 | 0.5617 | 0.7495 |
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_run1_AugV5_k12_task7_organization
Base model
aubmindlab/bert-base-arabertv02