ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_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: 0.5590
- Qwk: 0.3806
- Mse: 0.5590
- Rmse: 0.7477
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 | 2.6640 | -0.0829 | 2.6640 | 1.6322 |
| No log | 0.0645 | 4 | 1.3102 | 0.0433 | 1.3102 | 1.1446 |
| No log | 0.0968 | 6 | 0.8087 | 0.0501 | 0.8087 | 0.8993 |
| No log | 0.1290 | 8 | 0.8015 | 0.1737 | 0.8015 | 0.8953 |
| No log | 0.1613 | 10 | 0.9918 | 0.1827 | 0.9918 | 0.9959 |
| No log | 0.1935 | 12 | 1.0051 | 0.1869 | 1.0051 | 1.0026 |
| No log | 0.2258 | 14 | 0.8313 | 0.1718 | 0.8313 | 0.9118 |
| No log | 0.2581 | 16 | 0.7197 | 0.0444 | 0.7197 | 0.8483 |
| No log | 0.2903 | 18 | 0.7514 | 0.1786 | 0.7514 | 0.8668 |
| No log | 0.3226 | 20 | 0.7868 | 0.1786 | 0.7868 | 0.8870 |
| No log | 0.3548 | 22 | 0.7410 | 0.1372 | 0.7410 | 0.8608 |
| No log | 0.3871 | 24 | 0.7116 | 0.0937 | 0.7116 | 0.8436 |
| No log | 0.4194 | 26 | 0.6876 | 0.1282 | 0.6876 | 0.8292 |
| No log | 0.4516 | 28 | 0.7618 | 0.0541 | 0.7618 | 0.8728 |
| No log | 0.4839 | 30 | 0.7994 | 0.2193 | 0.7994 | 0.8941 |
| No log | 0.5161 | 32 | 0.7409 | 0.3384 | 0.7409 | 0.8607 |
| No log | 0.5484 | 34 | 0.6461 | 0.3886 | 0.6461 | 0.8038 |
| No log | 0.5806 | 36 | 0.6457 | 0.4364 | 0.6457 | 0.8035 |
| No log | 0.6129 | 38 | 0.6898 | 0.3329 | 0.6898 | 0.8305 |
| No log | 0.6452 | 40 | 0.7463 | 0.3450 | 0.7463 | 0.8639 |
| No log | 0.6774 | 42 | 0.7413 | 0.3280 | 0.7413 | 0.8610 |
| No log | 0.7097 | 44 | 0.6439 | 0.5003 | 0.6439 | 0.8024 |
| No log | 0.7419 | 46 | 0.6771 | 0.4260 | 0.6771 | 0.8229 |
| No log | 0.7742 | 48 | 0.7559 | 0.4153 | 0.7559 | 0.8694 |
| No log | 0.8065 | 50 | 0.6414 | 0.4819 | 0.6414 | 0.8009 |
| No log | 0.8387 | 52 | 0.6147 | 0.5663 | 0.6147 | 0.7840 |
| No log | 0.8710 | 54 | 0.5852 | 0.5039 | 0.5852 | 0.7650 |
| No log | 0.9032 | 56 | 0.6278 | 0.3615 | 0.6278 | 0.7924 |
| No log | 0.9355 | 58 | 0.7649 | 0.4230 | 0.7649 | 0.8746 |
| No log | 0.9677 | 60 | 1.0088 | 0.2683 | 1.0088 | 1.0044 |
| No log | 1.0 | 62 | 1.0976 | 0.2589 | 1.0976 | 1.0477 |
| No log | 1.0323 | 64 | 0.9123 | 0.3395 | 0.9123 | 0.9551 |
| No log | 1.0645 | 66 | 0.6804 | 0.3329 | 0.6804 | 0.8249 |
| No log | 1.0968 | 68 | 0.6931 | 0.4466 | 0.6931 | 0.8325 |
| No log | 1.1290 | 70 | 0.6834 | 0.4006 | 0.6834 | 0.8267 |
| No log | 1.1613 | 72 | 0.8086 | 0.3297 | 0.8086 | 0.8992 |
| No log | 1.1935 | 74 | 0.9298 | 0.3735 | 0.9298 | 0.9643 |
| No log | 1.2258 | 76 | 0.9383 | 0.2951 | 0.9383 | 0.9687 |
| No log | 1.2581 | 78 | 0.6904 | 0.4036 | 0.6904 | 0.8309 |
| No log | 1.2903 | 80 | 0.8048 | 0.3696 | 0.8048 | 0.8971 |
| No log | 1.3226 | 82 | 0.7352 | 0.4282 | 0.7352 | 0.8574 |
| No log | 1.3548 | 84 | 0.7465 | 0.2604 | 0.7465 | 0.8640 |
| No log | 1.3871 | 86 | 1.3041 | 0.2619 | 1.3041 | 1.1420 |
| No log | 1.4194 | 88 | 1.4378 | 0.2133 | 1.4378 | 1.1991 |
| No log | 1.4516 | 90 | 1.0859 | 0.2545 | 1.0859 | 1.0421 |
| No log | 1.4839 | 92 | 0.6468 | 0.4027 | 0.6468 | 0.8042 |
| No log | 1.5161 | 94 | 0.6289 | 0.4307 | 0.6289 | 0.7930 |
| No log | 1.5484 | 96 | 0.6069 | 0.3806 | 0.6069 | 0.7791 |
| No log | 1.5806 | 98 | 0.6277 | 0.3840 | 0.6277 | 0.7922 |
| No log | 1.6129 | 100 | 0.7870 | 0.3582 | 0.7870 | 0.8871 |
| No log | 1.6452 | 102 | 0.8143 | 0.3803 | 0.8143 | 0.9024 |
| No log | 1.6774 | 104 | 0.7082 | 0.3963 | 0.7082 | 0.8415 |
| No log | 1.7097 | 106 | 0.6000 | 0.5379 | 0.6000 | 0.7746 |
| No log | 1.7419 | 108 | 0.6071 | 0.5235 | 0.6071 | 0.7792 |
| No log | 1.7742 | 110 | 0.5993 | 0.5389 | 0.5993 | 0.7742 |
| No log | 1.8065 | 112 | 0.5958 | 0.5619 | 0.5958 | 0.7719 |
| No log | 1.8387 | 114 | 0.6017 | 0.4675 | 0.6017 | 0.7757 |
| No log | 1.8710 | 116 | 0.6437 | 0.5244 | 0.6437 | 0.8023 |
| No log | 1.9032 | 118 | 0.9048 | 0.4378 | 0.9048 | 0.9512 |
| No log | 1.9355 | 120 | 0.8661 | 0.4305 | 0.8661 | 0.9307 |
| No log | 1.9677 | 122 | 0.6552 | 0.5447 | 0.6552 | 0.8094 |
| No log | 2.0 | 124 | 0.6141 | 0.5270 | 0.6141 | 0.7837 |
| No log | 2.0323 | 126 | 0.5899 | 0.5037 | 0.5899 | 0.7681 |
| No log | 2.0645 | 128 | 0.5915 | 0.5647 | 0.5915 | 0.7691 |
| No log | 2.0968 | 130 | 0.5885 | 0.4743 | 0.5885 | 0.7672 |
| No log | 2.1290 | 132 | 0.6563 | 0.4444 | 0.6563 | 0.8101 |
| No log | 2.1613 | 134 | 0.8819 | 0.4265 | 0.8819 | 0.9391 |
| No log | 2.1935 | 136 | 0.7993 | 0.4548 | 0.7993 | 0.8940 |
| No log | 2.2258 | 138 | 0.5587 | 0.6334 | 0.5587 | 0.7475 |
| No log | 2.2581 | 140 | 0.6347 | 0.5217 | 0.6347 | 0.7967 |
| No log | 2.2903 | 142 | 0.6625 | 0.5030 | 0.6625 | 0.8140 |
| No log | 2.3226 | 144 | 0.5615 | 0.5634 | 0.5615 | 0.7493 |
| No log | 2.3548 | 146 | 0.5624 | 0.5377 | 0.5624 | 0.7499 |
| No log | 2.3871 | 148 | 0.5711 | 0.6272 | 0.5711 | 0.7557 |
| No log | 2.4194 | 150 | 0.5280 | 0.6065 | 0.5280 | 0.7266 |
| No log | 2.4516 | 152 | 0.4968 | 0.5782 | 0.4968 | 0.7048 |
| No log | 2.4839 | 154 | 0.5266 | 0.5352 | 0.5266 | 0.7256 |
| No log | 2.5161 | 156 | 0.4947 | 0.5143 | 0.4947 | 0.7034 |
| No log | 2.5484 | 158 | 0.5104 | 0.6101 | 0.5104 | 0.7144 |
| No log | 2.5806 | 160 | 0.5384 | 0.6087 | 0.5384 | 0.7338 |
| No log | 2.6129 | 162 | 0.4979 | 0.5476 | 0.4979 | 0.7056 |
| No log | 2.6452 | 164 | 0.5185 | 0.5117 | 0.5185 | 0.7201 |
| No log | 2.6774 | 166 | 0.6137 | 0.4204 | 0.6137 | 0.7834 |
| No log | 2.7097 | 168 | 0.5894 | 0.5015 | 0.5894 | 0.7677 |
| No log | 2.7419 | 170 | 0.5132 | 0.5677 | 0.5132 | 0.7164 |
| No log | 2.7742 | 172 | 0.7623 | 0.3970 | 0.7623 | 0.8731 |
| No log | 2.8065 | 174 | 0.9506 | 0.3284 | 0.9506 | 0.9750 |
| No log | 2.8387 | 176 | 0.7939 | 0.3909 | 0.7939 | 0.8910 |
| No log | 2.8710 | 178 | 0.5548 | 0.6087 | 0.5548 | 0.7449 |
| No log | 2.9032 | 180 | 0.5512 | 0.5267 | 0.5512 | 0.7425 |
| No log | 2.9355 | 182 | 0.6022 | 0.5368 | 0.6022 | 0.7760 |
| No log | 2.9677 | 184 | 0.5388 | 0.5087 | 0.5388 | 0.7340 |
| No log | 3.0 | 186 | 0.6090 | 0.5237 | 0.6090 | 0.7804 |
| No log | 3.0323 | 188 | 0.8247 | 0.3849 | 0.8247 | 0.9081 |
| No log | 3.0645 | 190 | 0.8771 | 0.4253 | 0.8771 | 0.9365 |
| No log | 3.0968 | 192 | 0.7489 | 0.4917 | 0.7489 | 0.8654 |
| No log | 3.1290 | 194 | 0.5940 | 0.5223 | 0.5940 | 0.7707 |
| No log | 3.1613 | 196 | 0.5598 | 0.4555 | 0.5598 | 0.7482 |
| No log | 3.1935 | 198 | 0.5568 | 0.4678 | 0.5568 | 0.7462 |
| No log | 3.2258 | 200 | 0.5787 | 0.5237 | 0.5787 | 0.7607 |
| No log | 3.2581 | 202 | 0.7214 | 0.4366 | 0.7214 | 0.8494 |
| No log | 3.2903 | 204 | 0.9256 | 0.4149 | 0.9256 | 0.9621 |
| No log | 3.3226 | 206 | 0.9664 | 0.3450 | 0.9664 | 0.9831 |
| No log | 3.3548 | 208 | 0.8105 | 0.4208 | 0.8105 | 0.9003 |
| No log | 3.3871 | 210 | 0.6001 | 0.5395 | 0.6001 | 0.7747 |
| No log | 3.4194 | 212 | 0.6257 | 0.5168 | 0.6257 | 0.7910 |
| No log | 3.4516 | 214 | 0.6950 | 0.4618 | 0.6950 | 0.8337 |
| No log | 3.4839 | 216 | 0.6354 | 0.5106 | 0.6354 | 0.7971 |
| No log | 3.5161 | 218 | 0.5754 | 0.5411 | 0.5754 | 0.7586 |
| No log | 3.5484 | 220 | 0.7911 | 0.4630 | 0.7911 | 0.8894 |
| No log | 3.5806 | 222 | 0.9074 | 0.3807 | 0.9074 | 0.9526 |
| No log | 3.6129 | 224 | 0.7592 | 0.4556 | 0.7592 | 0.8713 |
| No log | 3.6452 | 226 | 0.5787 | 0.4763 | 0.5787 | 0.7607 |
| No log | 3.6774 | 228 | 0.5889 | 0.5467 | 0.5889 | 0.7674 |
| No log | 3.7097 | 230 | 0.6048 | 0.5283 | 0.6048 | 0.7777 |
| No log | 3.7419 | 232 | 0.5767 | 0.4782 | 0.5767 | 0.7594 |
| No log | 3.7742 | 234 | 0.6094 | 0.4864 | 0.6094 | 0.7807 |
| No log | 3.8065 | 236 | 0.6675 | 0.4335 | 0.6675 | 0.8170 |
| No log | 3.8387 | 238 | 0.6659 | 0.4335 | 0.6659 | 0.8160 |
| No log | 3.8710 | 240 | 0.6182 | 0.4397 | 0.6182 | 0.7863 |
| No log | 3.9032 | 242 | 0.6271 | 0.3840 | 0.6271 | 0.7919 |
| No log | 3.9355 | 244 | 0.7117 | 0.3723 | 0.7117 | 0.8436 |
| No log | 3.9677 | 246 | 0.8276 | 0.3889 | 0.8276 | 0.9097 |
| No log | 4.0 | 248 | 0.8141 | 0.4296 | 0.8141 | 0.9023 |
| No log | 4.0323 | 250 | 0.7035 | 0.4587 | 0.7035 | 0.8388 |
| No log | 4.0645 | 252 | 0.5749 | 0.4847 | 0.5749 | 0.7582 |
| No log | 4.0968 | 254 | 0.5848 | 0.4171 | 0.5848 | 0.7647 |
| No log | 4.1290 | 256 | 0.5782 | 0.4149 | 0.5782 | 0.7604 |
| No log | 4.1613 | 258 | 0.5717 | 0.4914 | 0.5717 | 0.7561 |
| No log | 4.1935 | 260 | 0.6925 | 0.4587 | 0.6925 | 0.8321 |
| No log | 4.2258 | 262 | 0.7781 | 0.4723 | 0.7781 | 0.8821 |
| No log | 4.2581 | 264 | 0.7626 | 0.4801 | 0.7626 | 0.8733 |
| No log | 4.2903 | 266 | 0.6307 | 0.4167 | 0.6307 | 0.7942 |
| No log | 4.3226 | 268 | 0.5509 | 0.2685 | 0.5509 | 0.7423 |
| No log | 4.3548 | 270 | 0.5509 | 0.3011 | 0.5509 | 0.7422 |
| No log | 4.3871 | 272 | 0.5690 | 0.3296 | 0.5690 | 0.7543 |
| No log | 4.4194 | 274 | 0.6379 | 0.3723 | 0.6379 | 0.7987 |
| No log | 4.4516 | 276 | 0.6536 | 0.4587 | 0.6536 | 0.8085 |
| No log | 4.4839 | 278 | 0.6044 | 0.3891 | 0.6044 | 0.7774 |
| No log | 4.5161 | 280 | 0.5723 | 0.4137 | 0.5723 | 0.7565 |
| No log | 4.5484 | 282 | 0.6089 | 0.3779 | 0.6089 | 0.7803 |
| No log | 4.5806 | 284 | 0.6356 | 0.4074 | 0.6356 | 0.7973 |
| No log | 4.6129 | 286 | 0.6322 | 0.3522 | 0.6322 | 0.7951 |
| No log | 4.6452 | 288 | 0.6065 | 0.3001 | 0.6065 | 0.7788 |
| No log | 4.6774 | 290 | 0.5964 | 0.3258 | 0.5964 | 0.7723 |
| No log | 4.7097 | 292 | 0.6142 | 0.2981 | 0.6142 | 0.7837 |
| No log | 4.7419 | 294 | 0.6381 | 0.4190 | 0.6381 | 0.7988 |
| No log | 4.7742 | 296 | 0.6293 | 0.3615 | 0.6293 | 0.7933 |
| No log | 4.8065 | 298 | 0.6144 | 0.3891 | 0.6144 | 0.7838 |
| No log | 4.8387 | 300 | 0.6137 | 0.4448 | 0.6137 | 0.7834 |
| No log | 4.8710 | 302 | 0.5962 | 0.4444 | 0.5962 | 0.7721 |
| No log | 4.9032 | 304 | 0.5659 | 0.4288 | 0.5659 | 0.7522 |
| No log | 4.9355 | 306 | 0.5523 | 0.4364 | 0.5523 | 0.7432 |
| No log | 4.9677 | 308 | 0.5575 | 0.4938 | 0.5575 | 0.7467 |
| No log | 5.0 | 310 | 0.5542 | 0.4569 | 0.5542 | 0.7444 |
| No log | 5.0323 | 312 | 0.5691 | 0.3504 | 0.5691 | 0.7544 |
| No log | 5.0645 | 314 | 0.5807 | 0.3506 | 0.5807 | 0.7621 |
| No log | 5.0968 | 316 | 0.5754 | 0.3465 | 0.5754 | 0.7586 |
| No log | 5.1290 | 318 | 0.5593 | 0.4029 | 0.5593 | 0.7479 |
| No log | 5.1613 | 320 | 0.5551 | 0.4182 | 0.5551 | 0.7451 |
| No log | 5.1935 | 322 | 0.5547 | 0.3616 | 0.5547 | 0.7448 |
| No log | 5.2258 | 324 | 0.6202 | 0.4980 | 0.6202 | 0.7875 |
| No log | 5.2581 | 326 | 0.7866 | 0.5177 | 0.7866 | 0.8869 |
| No log | 5.2903 | 328 | 0.9957 | 0.4491 | 0.9957 | 0.9979 |
| No log | 5.3226 | 330 | 0.9026 | 0.4758 | 0.9026 | 0.9501 |
| No log | 5.3548 | 332 | 0.6774 | 0.4819 | 0.6774 | 0.8230 |
| No log | 5.3871 | 334 | 0.5833 | 0.3545 | 0.5833 | 0.7637 |
| No log | 5.4194 | 336 | 0.5493 | 0.3599 | 0.5493 | 0.7411 |
| No log | 5.4516 | 338 | 0.5745 | 0.3840 | 0.5745 | 0.7579 |
| No log | 5.4839 | 340 | 0.6080 | 0.4602 | 0.6080 | 0.7797 |
| No log | 5.5161 | 342 | 0.6253 | 0.4522 | 0.6253 | 0.7908 |
| No log | 5.5484 | 344 | 0.5821 | 0.5081 | 0.5821 | 0.7630 |
| No log | 5.5806 | 346 | 0.5627 | 0.4746 | 0.5627 | 0.7501 |
| No log | 5.6129 | 348 | 0.6057 | 0.4489 | 0.6057 | 0.7782 |
| No log | 5.6452 | 350 | 0.5954 | 0.4468 | 0.5954 | 0.7716 |
| No log | 5.6774 | 352 | 0.5686 | 0.4742 | 0.5686 | 0.7540 |
| No log | 5.7097 | 354 | 0.5941 | 0.4206 | 0.5941 | 0.7707 |
| No log | 5.7419 | 356 | 0.6209 | 0.3688 | 0.6209 | 0.7880 |
| No log | 5.7742 | 358 | 0.6281 | 0.3545 | 0.6281 | 0.7925 |
| No log | 5.8065 | 360 | 0.6014 | 0.3545 | 0.6014 | 0.7755 |
| No log | 5.8387 | 362 | 0.5631 | 0.4338 | 0.5631 | 0.7504 |
| No log | 5.8710 | 364 | 0.5573 | 0.4019 | 0.5573 | 0.7465 |
| No log | 5.9032 | 366 | 0.5570 | 0.4429 | 0.5570 | 0.7463 |
| No log | 5.9355 | 368 | 0.5530 | 0.4019 | 0.5530 | 0.7437 |
| No log | 5.9677 | 370 | 0.5828 | 0.4234 | 0.5828 | 0.7634 |
| No log | 6.0 | 372 | 0.5876 | 0.3769 | 0.5876 | 0.7666 |
| No log | 6.0323 | 374 | 0.5623 | 0.4314 | 0.5623 | 0.7499 |
| No log | 6.0645 | 376 | 0.5549 | 0.4322 | 0.5549 | 0.7449 |
| No log | 6.0968 | 378 | 0.5899 | 0.4412 | 0.5899 | 0.7680 |
| No log | 6.1290 | 380 | 0.6257 | 0.4732 | 0.6257 | 0.7910 |
| No log | 6.1613 | 382 | 0.5924 | 0.4633 | 0.5924 | 0.7697 |
| No log | 6.1935 | 384 | 0.5476 | 0.5430 | 0.5476 | 0.7400 |
| No log | 6.2258 | 386 | 0.5632 | 0.5752 | 0.5632 | 0.7505 |
| No log | 6.2581 | 388 | 0.5575 | 0.4964 | 0.5575 | 0.7467 |
| No log | 6.2903 | 390 | 0.5506 | 0.5170 | 0.5506 | 0.7420 |
| No log | 6.3226 | 392 | 0.5686 | 0.3840 | 0.5686 | 0.7541 |
| No log | 6.3548 | 394 | 0.5741 | 0.3840 | 0.5741 | 0.7577 |
| No log | 6.3871 | 396 | 0.5612 | 0.4354 | 0.5612 | 0.7491 |
| No log | 6.4194 | 398 | 0.5606 | 0.4354 | 0.5606 | 0.7488 |
| No log | 6.4516 | 400 | 0.5703 | 0.3919 | 0.5703 | 0.7552 |
| No log | 6.4839 | 402 | 0.5668 | 0.4044 | 0.5668 | 0.7529 |
| No log | 6.5161 | 404 | 0.5470 | 0.5114 | 0.5470 | 0.7396 |
| No log | 6.5484 | 406 | 0.5567 | 0.4452 | 0.5567 | 0.7461 |
| No log | 6.5806 | 408 | 0.5656 | 0.4198 | 0.5656 | 0.7521 |
| No log | 6.6129 | 410 | 0.5553 | 0.4569 | 0.5553 | 0.7452 |
| No log | 6.6452 | 412 | 0.5775 | 0.4883 | 0.5775 | 0.7599 |
| No log | 6.6774 | 414 | 0.5789 | 0.4883 | 0.5789 | 0.7609 |
| No log | 6.7097 | 416 | 0.5665 | 0.4838 | 0.5665 | 0.7527 |
| No log | 6.7419 | 418 | 0.5784 | 0.4227 | 0.5784 | 0.7606 |
| No log | 6.7742 | 420 | 0.6104 | 0.3854 | 0.6104 | 0.7813 |
| No log | 6.8065 | 422 | 0.6571 | 0.4225 | 0.6571 | 0.8106 |
| No log | 6.8387 | 424 | 0.6265 | 0.3754 | 0.6265 | 0.7915 |
| No log | 6.8710 | 426 | 0.5769 | 0.4345 | 0.5769 | 0.7595 |
| No log | 6.9032 | 428 | 0.6041 | 0.4835 | 0.6041 | 0.7773 |
| No log | 6.9355 | 430 | 0.7302 | 0.4592 | 0.7302 | 0.8545 |
| No log | 6.9677 | 432 | 0.7549 | 0.4592 | 0.7549 | 0.8689 |
| No log | 7.0 | 434 | 0.7521 | 0.4666 | 0.7521 | 0.8672 |
| No log | 7.0323 | 436 | 0.7703 | 0.4286 | 0.7703 | 0.8777 |
| No log | 7.0645 | 438 | 0.7254 | 0.4738 | 0.7254 | 0.8517 |
| No log | 7.0968 | 440 | 0.6159 | 0.4978 | 0.6159 | 0.7848 |
| No log | 7.1290 | 442 | 0.5702 | 0.3762 | 0.5702 | 0.7551 |
| No log | 7.1613 | 444 | 0.5626 | 0.4194 | 0.5626 | 0.7501 |
| No log | 7.1935 | 446 | 0.5824 | 0.4234 | 0.5824 | 0.7632 |
| No log | 7.2258 | 448 | 0.6469 | 0.4741 | 0.6469 | 0.8043 |
| No log | 7.2581 | 450 | 0.7013 | 0.4812 | 0.7013 | 0.8374 |
| No log | 7.2903 | 452 | 0.6725 | 0.4741 | 0.6725 | 0.8200 |
| No log | 7.3226 | 454 | 0.5940 | 0.4663 | 0.5940 | 0.7707 |
| No log | 7.3548 | 456 | 0.5643 | 0.4547 | 0.5643 | 0.7512 |
| No log | 7.3871 | 458 | 0.5540 | 0.3530 | 0.5540 | 0.7443 |
| No log | 7.4194 | 460 | 0.5530 | 0.4837 | 0.5530 | 0.7436 |
| No log | 7.4516 | 462 | 0.5707 | 0.5086 | 0.5707 | 0.7554 |
| No log | 7.4839 | 464 | 0.6165 | 0.4745 | 0.6165 | 0.7852 |
| No log | 7.5161 | 466 | 0.6170 | 0.4745 | 0.6170 | 0.7855 |
| No log | 7.5484 | 468 | 0.5626 | 0.5291 | 0.5626 | 0.7501 |
| No log | 7.5806 | 470 | 0.5394 | 0.5860 | 0.5394 | 0.7344 |
| No log | 7.6129 | 472 | 0.5625 | 0.5200 | 0.5625 | 0.7500 |
| No log | 7.6452 | 474 | 0.5727 | 0.5414 | 0.5727 | 0.7567 |
| No log | 7.6774 | 476 | 0.5584 | 0.5200 | 0.5584 | 0.7472 |
| No log | 7.7097 | 478 | 0.5266 | 0.5252 | 0.5266 | 0.7257 |
| No log | 7.7419 | 480 | 0.5460 | 0.5308 | 0.5460 | 0.7389 |
| No log | 7.7742 | 482 | 0.5878 | 0.5291 | 0.5878 | 0.7667 |
| No log | 7.8065 | 484 | 0.6486 | 0.4964 | 0.6486 | 0.8054 |
| No log | 7.8387 | 486 | 0.5971 | 0.5342 | 0.5971 | 0.7728 |
| No log | 7.8710 | 488 | 0.5331 | 0.5937 | 0.5331 | 0.7301 |
| No log | 7.9032 | 490 | 0.5499 | 0.5087 | 0.5499 | 0.7415 |
| No log | 7.9355 | 492 | 0.5776 | 0.5217 | 0.5776 | 0.7600 |
| No log | 7.9677 | 494 | 0.5710 | 0.4913 | 0.5710 | 0.7557 |
| No log | 8.0 | 496 | 0.5418 | 0.4847 | 0.5418 | 0.7361 |
| No log | 8.0323 | 498 | 0.5756 | 0.5373 | 0.5756 | 0.7587 |
| 0.3189 | 8.0645 | 500 | 0.6319 | 0.4550 | 0.6319 | 0.7949 |
| 0.3189 | 8.0968 | 502 | 0.6048 | 0.5373 | 0.6048 | 0.7777 |
| 0.3189 | 8.1290 | 504 | 0.5599 | 0.5617 | 0.5599 | 0.7483 |
| 0.3189 | 8.1613 | 506 | 0.5563 | 0.4322 | 0.5563 | 0.7458 |
| 0.3189 | 8.1935 | 508 | 0.5734 | 0.4367 | 0.5734 | 0.7572 |
| 0.3189 | 8.2258 | 510 | 0.5705 | 0.4092 | 0.5705 | 0.7553 |
| 0.3189 | 8.2581 | 512 | 0.5600 | 0.4068 | 0.5600 | 0.7483 |
| 0.3189 | 8.2903 | 514 | 0.5590 | 0.3806 | 0.5590 | 0.7477 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- -
Model tree for MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k12_task7_organization
Base model
aubmindlab/bert-base-arabertv02