ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k13_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: 0.5298
- Qwk: 0.5022
- Mse: 0.5298
- Rmse: 0.7279
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 | 2.4361 | -0.0646 | 2.4361 | 1.5608 |
| No log | 0.0909 | 4 | 1.2781 | 0.0679 | 1.2781 | 1.1305 |
| No log | 0.1364 | 6 | 1.1987 | -0.0886 | 1.1987 | 1.0948 |
| No log | 0.1818 | 8 | 1.0693 | 0.1010 | 1.0693 | 1.0341 |
| No log | 0.2273 | 10 | 0.8312 | 0.0444 | 0.8312 | 0.9117 |
| No log | 0.2727 | 12 | 0.7905 | 0.1724 | 0.7905 | 0.8891 |
| No log | 0.3182 | 14 | 1.3614 | 0.1694 | 1.3614 | 1.1668 |
| No log | 0.3636 | 16 | 1.2133 | 0.1694 | 1.2133 | 1.1015 |
| No log | 0.4091 | 18 | 0.9059 | 0.2008 | 0.9059 | 0.9518 |
| No log | 0.4545 | 20 | 0.8375 | -0.0426 | 0.8375 | 0.9152 |
| No log | 0.5 | 22 | 0.7690 | 0.0840 | 0.7690 | 0.8769 |
| No log | 0.5455 | 24 | 0.7958 | 0.1139 | 0.7958 | 0.8921 |
| No log | 0.5909 | 26 | 0.7407 | 0.1922 | 0.7407 | 0.8606 |
| No log | 0.6364 | 28 | 0.7684 | 0.0 | 0.7684 | 0.8766 |
| No log | 0.6818 | 30 | 0.8974 | 0.0547 | 0.8974 | 0.9473 |
| No log | 0.7273 | 32 | 1.0154 | 0.1313 | 1.0154 | 1.0077 |
| No log | 0.7727 | 34 | 0.9447 | 0.1957 | 0.9447 | 0.9719 |
| No log | 0.8182 | 36 | 0.8862 | 0.2331 | 0.8862 | 0.9414 |
| No log | 0.8636 | 38 | 0.7866 | 0.1739 | 0.7866 | 0.8869 |
| No log | 0.9091 | 40 | 0.6531 | 0.1942 | 0.6531 | 0.8081 |
| No log | 0.9545 | 42 | 0.6932 | 0.1456 | 0.6932 | 0.8326 |
| No log | 1.0 | 44 | 0.8511 | 0.0 | 0.8511 | 0.9225 |
| No log | 1.0455 | 46 | 0.8871 | 0.0 | 0.8871 | 0.9419 |
| No log | 1.0909 | 48 | 0.7932 | 0.0481 | 0.7932 | 0.8906 |
| No log | 1.1364 | 50 | 0.9002 | 0.1724 | 0.9002 | 0.9488 |
| No log | 1.1818 | 52 | 0.9945 | 0.2087 | 0.9945 | 0.9972 |
| No log | 1.2273 | 54 | 0.9051 | 0.0947 | 0.9051 | 0.9514 |
| No log | 1.2727 | 56 | 0.8769 | 0.1739 | 0.8769 | 0.9364 |
| No log | 1.3182 | 58 | 0.8373 | 0.1352 | 0.8373 | 0.9150 |
| No log | 1.3636 | 60 | 0.8862 | 0.2027 | 0.8862 | 0.9414 |
| No log | 1.4091 | 62 | 0.9602 | 0.1618 | 0.9602 | 0.9799 |
| No log | 1.4545 | 64 | 0.9607 | 0.2508 | 0.9607 | 0.9802 |
| No log | 1.5 | 66 | 0.8251 | 0.2672 | 0.8251 | 0.9083 |
| No log | 1.5455 | 68 | 0.7079 | 0.2324 | 0.7079 | 0.8414 |
| No log | 1.5909 | 70 | 0.7096 | 0.2642 | 0.7096 | 0.8424 |
| No log | 1.6364 | 72 | 0.7687 | 0.3094 | 0.7687 | 0.8767 |
| No log | 1.6818 | 74 | 0.9230 | 0.3173 | 0.9230 | 0.9608 |
| No log | 1.7273 | 76 | 1.1829 | 0.1453 | 1.1829 | 1.0876 |
| No log | 1.7727 | 78 | 1.2465 | 0.1670 | 1.2465 | 1.1165 |
| No log | 1.8182 | 80 | 1.1358 | 0.1924 | 1.1358 | 1.0658 |
| No log | 1.8636 | 82 | 0.9687 | 0.3111 | 0.9687 | 0.9842 |
| No log | 1.9091 | 84 | 0.7652 | 0.3013 | 0.7652 | 0.8748 |
| No log | 1.9545 | 86 | 0.6228 | 0.1702 | 0.6228 | 0.7892 |
| No log | 2.0 | 88 | 0.6131 | 0.2270 | 0.6131 | 0.7830 |
| No log | 2.0455 | 90 | 0.6173 | 0.2270 | 0.6173 | 0.7857 |
| No log | 2.0909 | 92 | 0.6168 | 0.0428 | 0.6168 | 0.7854 |
| No log | 2.1364 | 94 | 0.6222 | 0.0428 | 0.6222 | 0.7888 |
| No log | 2.1818 | 96 | 0.6264 | 0.0889 | 0.6264 | 0.7915 |
| No log | 2.2273 | 98 | 0.6197 | 0.0840 | 0.6197 | 0.7872 |
| No log | 2.2727 | 100 | 0.6168 | 0.2087 | 0.6168 | 0.7854 |
| No log | 2.3182 | 102 | 0.7209 | 0.2526 | 0.7209 | 0.8491 |
| No log | 2.3636 | 104 | 0.8578 | 0.3509 | 0.8578 | 0.9262 |
| No log | 2.4091 | 106 | 0.8921 | 0.3521 | 0.8921 | 0.9445 |
| No log | 2.4545 | 108 | 0.8419 | 0.3553 | 0.8419 | 0.9175 |
| No log | 2.5 | 110 | 0.8287 | 0.3695 | 0.8287 | 0.9103 |
| No log | 2.5455 | 112 | 0.7505 | 0.3416 | 0.7505 | 0.8663 |
| No log | 2.5909 | 114 | 0.5843 | 0.2443 | 0.5843 | 0.7644 |
| No log | 2.6364 | 116 | 0.5513 | 0.3039 | 0.5513 | 0.7425 |
| No log | 2.6818 | 118 | 0.5849 | 0.3832 | 0.5849 | 0.7648 |
| No log | 2.7273 | 120 | 0.5938 | 0.4151 | 0.5938 | 0.7706 |
| No log | 2.7727 | 122 | 0.5578 | 0.4339 | 0.5578 | 0.7469 |
| No log | 2.8182 | 124 | 0.5359 | 0.4224 | 0.5359 | 0.7320 |
| No log | 2.8636 | 126 | 0.5418 | 0.4224 | 0.5418 | 0.7361 |
| No log | 2.9091 | 128 | 0.5829 | 0.4298 | 0.5829 | 0.7635 |
| No log | 2.9545 | 130 | 0.5593 | 0.5044 | 0.5593 | 0.7478 |
| No log | 3.0 | 132 | 0.5682 | 0.5101 | 0.5682 | 0.7538 |
| No log | 3.0455 | 134 | 0.6113 | 0.4235 | 0.6113 | 0.7819 |
| No log | 3.0909 | 136 | 0.8492 | 0.3274 | 0.8492 | 0.9215 |
| No log | 3.1364 | 138 | 0.9724 | 0.2246 | 0.9724 | 0.9861 |
| No log | 3.1818 | 140 | 0.8844 | 0.3173 | 0.8844 | 0.9404 |
| No log | 3.2273 | 142 | 0.6482 | 0.4329 | 0.6482 | 0.8051 |
| No log | 3.2727 | 144 | 0.5954 | 0.4538 | 0.5954 | 0.7716 |
| No log | 3.3182 | 146 | 0.6191 | 0.4235 | 0.6191 | 0.7869 |
| No log | 3.3636 | 148 | 0.6293 | 0.4174 | 0.6293 | 0.7933 |
| No log | 3.4091 | 150 | 0.6113 | 0.4345 | 0.6113 | 0.7819 |
| No log | 3.4545 | 152 | 0.6401 | 0.4370 | 0.6401 | 0.8001 |
| No log | 3.5 | 154 | 0.6712 | 0.3653 | 0.6712 | 0.8192 |
| No log | 3.5455 | 156 | 0.6721 | 0.3695 | 0.6721 | 0.8198 |
| No log | 3.5909 | 158 | 0.7966 | 0.3678 | 0.7966 | 0.8925 |
| No log | 3.6364 | 160 | 0.8054 | 0.3183 | 0.8054 | 0.8974 |
| No log | 3.6818 | 162 | 0.6980 | 0.3633 | 0.6980 | 0.8354 |
| No log | 3.7273 | 164 | 0.7073 | 0.3633 | 0.7073 | 0.8410 |
| No log | 3.7727 | 166 | 0.9149 | 0.3446 | 0.9149 | 0.9565 |
| No log | 3.8182 | 168 | 1.0928 | 0.1737 | 1.0928 | 1.0454 |
| No log | 3.8636 | 170 | 1.0027 | 0.2537 | 1.0027 | 1.0014 |
| No log | 3.9091 | 172 | 0.7035 | 0.2758 | 0.7035 | 0.8387 |
| No log | 3.9545 | 174 | 0.6277 | 0.3382 | 0.6277 | 0.7923 |
| No log | 4.0 | 176 | 0.6787 | 0.4190 | 0.6787 | 0.8238 |
| No log | 4.0455 | 178 | 0.6251 | 0.4147 | 0.6251 | 0.7907 |
| No log | 4.0909 | 180 | 0.6405 | 0.5339 | 0.6405 | 0.8003 |
| No log | 4.1364 | 182 | 0.6977 | 0.4729 | 0.6977 | 0.8353 |
| No log | 4.1818 | 184 | 0.6706 | 0.5212 | 0.6706 | 0.8189 |
| No log | 4.2273 | 186 | 0.6194 | 0.5339 | 0.6194 | 0.7870 |
| No log | 4.2727 | 188 | 0.5878 | 0.5361 | 0.5878 | 0.7667 |
| No log | 4.3182 | 190 | 0.5902 | 0.5076 | 0.5902 | 0.7682 |
| No log | 4.3636 | 192 | 0.5919 | 0.5076 | 0.5919 | 0.7693 |
| No log | 4.4091 | 194 | 0.5871 | 0.5457 | 0.5871 | 0.7662 |
| No log | 4.4545 | 196 | 0.6653 | 0.4463 | 0.6653 | 0.8157 |
| No log | 4.5 | 198 | 0.8670 | 0.3805 | 0.8670 | 0.9311 |
| No log | 4.5455 | 200 | 1.0075 | 0.2457 | 1.0075 | 1.0037 |
| No log | 4.5909 | 202 | 0.9349 | 0.3567 | 0.9349 | 0.9669 |
| No log | 4.6364 | 204 | 0.8157 | 0.3867 | 0.8157 | 0.9032 |
| No log | 4.6818 | 206 | 0.6546 | 0.4489 | 0.6546 | 0.8090 |
| No log | 4.7273 | 208 | 0.6256 | 0.4249 | 0.6256 | 0.7909 |
| No log | 4.7727 | 210 | 0.6803 | 0.3230 | 0.6803 | 0.8248 |
| No log | 4.8182 | 212 | 0.6463 | 0.3407 | 0.6463 | 0.8039 |
| No log | 4.8636 | 214 | 0.5931 | 0.3688 | 0.5931 | 0.7701 |
| No log | 4.9091 | 216 | 0.5966 | 0.3974 | 0.5966 | 0.7724 |
| No log | 4.9545 | 218 | 0.6472 | 0.3936 | 0.6472 | 0.8045 |
| No log | 5.0 | 220 | 0.6551 | 0.4548 | 0.6551 | 0.8094 |
| No log | 5.0455 | 222 | 0.6605 | 0.5233 | 0.6605 | 0.8127 |
| No log | 5.0909 | 224 | 0.6475 | 0.5809 | 0.6475 | 0.8047 |
| No log | 5.1364 | 226 | 0.6709 | 0.5524 | 0.6709 | 0.8191 |
| No log | 5.1818 | 228 | 0.7837 | 0.4246 | 0.7837 | 0.8852 |
| No log | 5.2273 | 230 | 0.9144 | 0.3532 | 0.9144 | 0.9562 |
| No log | 5.2727 | 232 | 0.9463 | 0.3352 | 0.9463 | 0.9728 |
| No log | 5.3182 | 234 | 0.8471 | 0.3596 | 0.8471 | 0.9204 |
| No log | 5.3636 | 236 | 0.7058 | 0.5569 | 0.7058 | 0.8401 |
| No log | 5.4091 | 238 | 0.7457 | 0.4690 | 0.7457 | 0.8636 |
| No log | 5.4545 | 240 | 0.7626 | 0.4269 | 0.7626 | 0.8733 |
| No log | 5.5 | 242 | 0.7182 | 0.4355 | 0.7182 | 0.8475 |
| No log | 5.5455 | 244 | 0.6473 | 0.4589 | 0.6473 | 0.8046 |
| No log | 5.5909 | 246 | 0.5824 | 0.4425 | 0.5824 | 0.7631 |
| No log | 5.6364 | 248 | 0.5878 | 0.3970 | 0.5878 | 0.7667 |
| No log | 5.6818 | 250 | 0.5774 | 0.4471 | 0.5774 | 0.7599 |
| No log | 5.7273 | 252 | 0.6246 | 0.4589 | 0.6246 | 0.7903 |
| No log | 5.7727 | 254 | 0.6781 | 0.4926 | 0.6781 | 0.8235 |
| No log | 5.8182 | 256 | 0.6721 | 0.5061 | 0.6721 | 0.8198 |
| No log | 5.8636 | 258 | 0.6356 | 0.5378 | 0.6356 | 0.7973 |
| No log | 5.9091 | 260 | 0.5494 | 0.5970 | 0.5494 | 0.7412 |
| No log | 5.9545 | 262 | 0.5511 | 0.5970 | 0.5511 | 0.7423 |
| No log | 6.0 | 264 | 0.6162 | 0.4952 | 0.6162 | 0.7850 |
| No log | 6.0455 | 266 | 0.7660 | 0.4033 | 0.7660 | 0.8752 |
| No log | 6.0909 | 268 | 0.7409 | 0.4504 | 0.7409 | 0.8607 |
| No log | 6.1364 | 270 | 0.5719 | 0.5736 | 0.5719 | 0.7562 |
| No log | 6.1818 | 272 | 0.5267 | 0.5656 | 0.5267 | 0.7257 |
| No log | 6.2273 | 274 | 0.5501 | 0.6183 | 0.5501 | 0.7417 |
| No log | 6.2727 | 276 | 0.5926 | 0.5445 | 0.5926 | 0.7698 |
| No log | 6.3182 | 278 | 0.5826 | 0.5692 | 0.5826 | 0.7633 |
| No log | 6.3636 | 280 | 0.5593 | 0.5985 | 0.5593 | 0.7478 |
| No log | 6.4091 | 282 | 0.5736 | 0.5438 | 0.5736 | 0.7574 |
| No log | 6.4545 | 284 | 0.6148 | 0.5474 | 0.6148 | 0.7841 |
| No log | 6.5 | 286 | 0.6089 | 0.5543 | 0.6089 | 0.7803 |
| No log | 6.5455 | 288 | 0.5456 | 0.5432 | 0.5456 | 0.7386 |
| No log | 6.5909 | 290 | 0.5286 | 0.4949 | 0.5286 | 0.7271 |
| No log | 6.6364 | 292 | 0.5321 | 0.5915 | 0.5321 | 0.7295 |
| No log | 6.6818 | 294 | 0.5992 | 0.5650 | 0.5992 | 0.7741 |
| No log | 6.7273 | 296 | 0.6591 | 0.5073 | 0.6591 | 0.8119 |
| No log | 6.7727 | 298 | 0.6411 | 0.5387 | 0.6411 | 0.8007 |
| No log | 6.8182 | 300 | 0.5932 | 0.5436 | 0.5932 | 0.7702 |
| No log | 6.8636 | 302 | 0.5746 | 0.5358 | 0.5746 | 0.7580 |
| No log | 6.9091 | 304 | 0.6371 | 0.4948 | 0.6371 | 0.7982 |
| No log | 6.9545 | 306 | 0.7069 | 0.4784 | 0.7069 | 0.8408 |
| No log | 7.0 | 308 | 0.6625 | 0.4948 | 0.6625 | 0.8139 |
| No log | 7.0455 | 310 | 0.5736 | 0.5589 | 0.5736 | 0.7574 |
| No log | 7.0909 | 312 | 0.5286 | 0.5430 | 0.5286 | 0.7270 |
| No log | 7.1364 | 314 | 0.5220 | 0.5890 | 0.5220 | 0.7225 |
| No log | 7.1818 | 316 | 0.5372 | 0.5702 | 0.5372 | 0.7330 |
| No log | 7.2273 | 318 | 0.5493 | 0.5718 | 0.5493 | 0.7411 |
| No log | 7.2727 | 320 | 0.5274 | 0.5266 | 0.5274 | 0.7262 |
| No log | 7.3182 | 322 | 0.5347 | 0.5283 | 0.5347 | 0.7312 |
| No log | 7.3636 | 324 | 0.5385 | 0.4958 | 0.5385 | 0.7338 |
| No log | 7.4091 | 326 | 0.5348 | 0.5321 | 0.5348 | 0.7313 |
| No log | 7.4545 | 328 | 0.5323 | 0.5687 | 0.5323 | 0.7296 |
| No log | 7.5 | 330 | 0.5354 | 0.5687 | 0.5354 | 0.7317 |
| No log | 7.5455 | 332 | 0.5418 | 0.5687 | 0.5418 | 0.7361 |
| No log | 7.5909 | 334 | 0.5535 | 0.4091 | 0.5535 | 0.7440 |
| No log | 7.6364 | 336 | 0.6283 | 0.4576 | 0.6283 | 0.7927 |
| No log | 7.6818 | 338 | 0.6307 | 0.4576 | 0.6307 | 0.7942 |
| No log | 7.7273 | 340 | 0.5502 | 0.3919 | 0.5502 | 0.7418 |
| No log | 7.7727 | 342 | 0.5758 | 0.4139 | 0.5758 | 0.7588 |
| No log | 7.8182 | 344 | 0.6581 | 0.3573 | 0.6581 | 0.8112 |
| No log | 7.8636 | 346 | 0.6683 | 0.3573 | 0.6683 | 0.8175 |
| No log | 7.9091 | 348 | 0.6004 | 0.3616 | 0.6004 | 0.7748 |
| No log | 7.9545 | 350 | 0.5198 | 0.5574 | 0.5198 | 0.7209 |
| No log | 8.0 | 352 | 0.5091 | 0.5286 | 0.5091 | 0.7135 |
| No log | 8.0455 | 354 | 0.5042 | 0.5475 | 0.5042 | 0.7101 |
| No log | 8.0909 | 356 | 0.5675 | 0.5718 | 0.5675 | 0.7533 |
| No log | 8.1364 | 358 | 0.6121 | 0.5178 | 0.6121 | 0.7824 |
| No log | 8.1818 | 360 | 0.6253 | 0.4825 | 0.6253 | 0.7907 |
| No log | 8.2273 | 362 | 0.5507 | 0.5731 | 0.5507 | 0.7421 |
| No log | 8.2727 | 364 | 0.5136 | 0.5930 | 0.5136 | 0.7167 |
| No log | 8.3182 | 366 | 0.5210 | 0.5846 | 0.5210 | 0.7218 |
| No log | 8.3636 | 368 | 0.5876 | 0.5152 | 0.5876 | 0.7666 |
| No log | 8.4091 | 370 | 0.7400 | 0.4615 | 0.7400 | 0.8602 |
| No log | 8.4545 | 372 | 0.7526 | 0.4297 | 0.7526 | 0.8675 |
| No log | 8.5 | 374 | 0.6356 | 0.5363 | 0.6356 | 0.7972 |
| No log | 8.5455 | 376 | 0.5599 | 0.5846 | 0.5599 | 0.7483 |
| No log | 8.5909 | 378 | 0.5564 | 0.5930 | 0.5564 | 0.7459 |
| No log | 8.6364 | 380 | 0.5594 | 0.5765 | 0.5594 | 0.7479 |
| No log | 8.6818 | 382 | 0.5958 | 0.4850 | 0.5958 | 0.7719 |
| No log | 8.7273 | 384 | 0.6271 | 0.4575 | 0.6271 | 0.7919 |
| No log | 8.7727 | 386 | 0.5981 | 0.4918 | 0.5981 | 0.7734 |
| No log | 8.8182 | 388 | 0.5585 | 0.5319 | 0.5585 | 0.7473 |
| No log | 8.8636 | 390 | 0.5599 | 0.5993 | 0.5599 | 0.7483 |
| No log | 8.9091 | 392 | 0.5715 | 0.5679 | 0.5715 | 0.7560 |
| No log | 8.9545 | 394 | 0.5458 | 0.6185 | 0.5458 | 0.7388 |
| No log | 9.0 | 396 | 0.5322 | 0.5319 | 0.5322 | 0.7295 |
| No log | 9.0455 | 398 | 0.5953 | 0.5030 | 0.5953 | 0.7716 |
| No log | 9.0909 | 400 | 0.7279 | 0.4161 | 0.7279 | 0.8532 |
| No log | 9.1364 | 402 | 0.7800 | 0.3760 | 0.7800 | 0.8832 |
| No log | 9.1818 | 404 | 0.7368 | 0.3085 | 0.7368 | 0.8584 |
| No log | 9.2273 | 406 | 0.6375 | 0.3620 | 0.6375 | 0.7984 |
| No log | 9.2727 | 408 | 0.5683 | 0.3093 | 0.5683 | 0.7539 |
| No log | 9.3182 | 410 | 0.5516 | 0.4561 | 0.5516 | 0.7427 |
| No log | 9.3636 | 412 | 0.5423 | 0.4847 | 0.5423 | 0.7364 |
| No log | 9.4091 | 414 | 0.5457 | 0.4538 | 0.5457 | 0.7387 |
| No log | 9.4545 | 416 | 0.5995 | 0.4694 | 0.5995 | 0.7743 |
| No log | 9.5 | 418 | 0.6254 | 0.4633 | 0.6254 | 0.7908 |
| No log | 9.5455 | 420 | 0.5780 | 0.5250 | 0.5780 | 0.7603 |
| No log | 9.5909 | 422 | 0.5698 | 0.5860 | 0.5698 | 0.7548 |
| No log | 9.6364 | 424 | 0.6192 | 0.4587 | 0.6192 | 0.7869 |
| No log | 9.6818 | 426 | 0.6179 | 0.4371 | 0.6179 | 0.7860 |
| No log | 9.7273 | 428 | 0.5558 | 0.5440 | 0.5558 | 0.7455 |
| No log | 9.7727 | 430 | 0.5442 | 0.5617 | 0.5442 | 0.7377 |
| No log | 9.8182 | 432 | 0.5865 | 0.5230 | 0.5865 | 0.7658 |
| No log | 9.8636 | 434 | 0.6123 | 0.4652 | 0.6123 | 0.7825 |
| No log | 9.9091 | 436 | 0.5924 | 0.4652 | 0.5924 | 0.7697 |
| No log | 9.9545 | 438 | 0.5664 | 0.5144 | 0.5664 | 0.7526 |
| No log | 10.0 | 440 | 0.5577 | 0.5212 | 0.5577 | 0.7468 |
| No log | 10.0455 | 442 | 0.5693 | 0.5300 | 0.5693 | 0.7545 |
| No log | 10.0909 | 444 | 0.5605 | 0.5300 | 0.5605 | 0.7487 |
| No log | 10.1364 | 446 | 0.5353 | 0.5702 | 0.5353 | 0.7316 |
| No log | 10.1818 | 448 | 0.5129 | 0.5781 | 0.5129 | 0.7162 |
| No log | 10.2273 | 450 | 0.5004 | 0.5750 | 0.5004 | 0.7074 |
| No log | 10.2727 | 452 | 0.4951 | 0.5750 | 0.4951 | 0.7036 |
| No log | 10.3182 | 454 | 0.4963 | 0.5750 | 0.4963 | 0.7045 |
| No log | 10.3636 | 456 | 0.5402 | 0.5438 | 0.5402 | 0.7350 |
| No log | 10.4091 | 458 | 0.5731 | 0.5101 | 0.5731 | 0.7570 |
| No log | 10.4545 | 460 | 0.5519 | 0.5317 | 0.5519 | 0.7429 |
| No log | 10.5 | 462 | 0.5298 | 0.5373 | 0.5298 | 0.7279 |
| No log | 10.5455 | 464 | 0.5188 | 0.5397 | 0.5188 | 0.7203 |
| No log | 10.5909 | 466 | 0.5111 | 0.5457 | 0.5111 | 0.7149 |
| No log | 10.6364 | 468 | 0.5081 | 0.5440 | 0.5081 | 0.7128 |
| No log | 10.6818 | 470 | 0.5203 | 0.5343 | 0.5203 | 0.7213 |
| No log | 10.7273 | 472 | 0.5496 | 0.5320 | 0.5496 | 0.7414 |
| No log | 10.7727 | 474 | 0.5399 | 0.5398 | 0.5399 | 0.7347 |
| No log | 10.8182 | 476 | 0.5103 | 0.5065 | 0.5103 | 0.7144 |
| No log | 10.8636 | 478 | 0.5073 | 0.4768 | 0.5073 | 0.7122 |
| No log | 10.9091 | 480 | 0.5075 | 0.4768 | 0.5075 | 0.7124 |
| No log | 10.9545 | 482 | 0.5067 | 0.5022 | 0.5067 | 0.7118 |
| No log | 11.0 | 484 | 0.5078 | 0.6183 | 0.5078 | 0.7126 |
| No log | 11.0455 | 486 | 0.5279 | 0.5943 | 0.5279 | 0.7266 |
| No log | 11.0909 | 488 | 0.5609 | 0.5014 | 0.5609 | 0.7489 |
| No log | 11.1364 | 490 | 0.5743 | 0.5014 | 0.5743 | 0.7578 |
| No log | 11.1818 | 492 | 0.5594 | 0.5751 | 0.5594 | 0.7479 |
| No log | 11.2273 | 494 | 0.5376 | 0.5750 | 0.5376 | 0.7332 |
| No log | 11.2727 | 496 | 0.5338 | 0.4768 | 0.5338 | 0.7306 |
| No log | 11.3182 | 498 | 0.5258 | 0.5326 | 0.5258 | 0.7251 |
| 0.3341 | 11.3636 | 500 | 0.5254 | 0.5022 | 0.5254 | 0.7248 |
| 0.3341 | 11.4091 | 502 | 0.5339 | 0.5430 | 0.5339 | 0.7307 |
| 0.3341 | 11.4545 | 504 | 0.5455 | 0.5750 | 0.5455 | 0.7386 |
| 0.3341 | 11.5 | 506 | 0.5462 | 0.5970 | 0.5462 | 0.7391 |
| 0.3341 | 11.5455 | 508 | 0.5342 | 0.5357 | 0.5342 | 0.7309 |
| 0.3341 | 11.5909 | 510 | 0.5334 | 0.5357 | 0.5334 | 0.7303 |
| 0.3341 | 11.6364 | 512 | 0.5309 | 0.4953 | 0.5309 | 0.7286 |
| 0.3341 | 11.6818 | 514 | 0.5332 | 0.5022 | 0.5332 | 0.7302 |
| 0.3341 | 11.7273 | 516 | 0.5312 | 0.5022 | 0.5312 | 0.7288 |
| 0.3341 | 11.7727 | 518 | 0.5379 | 0.4768 | 0.5379 | 0.7334 |
| 0.3341 | 11.8182 | 520 | 0.5298 | 0.5022 | 0.5298 | 0.7279 |
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_run2_AugV5_k13_task7_organization
Base model
aubmindlab/bert-base-arabertv02