ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k2_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: 0.5431
- Qwk: 0.5414
- Mse: 0.5431
- Rmse: 0.7369
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 | 0.2222 | 2 | 2.5532 | 0.0231 | 2.5532 | 1.5979 |
| No log | 0.4444 | 4 | 1.2769 | 0.0750 | 1.2769 | 1.1300 |
| No log | 0.6667 | 6 | 0.8505 | 0.0944 | 0.8505 | 0.9222 |
| No log | 0.8889 | 8 | 0.7176 | 0.0889 | 0.7176 | 0.8471 |
| No log | 1.1111 | 10 | 0.6907 | 0.0898 | 0.6907 | 0.8311 |
| No log | 1.3333 | 12 | 0.6718 | 0.1315 | 0.6718 | 0.8196 |
| No log | 1.5556 | 14 | 0.6262 | 0.0810 | 0.6262 | 0.7913 |
| No log | 1.7778 | 16 | 0.6186 | 0.1700 | 0.6186 | 0.7865 |
| No log | 2.0 | 18 | 0.6140 | 0.1700 | 0.6140 | 0.7836 |
| No log | 2.2222 | 20 | 0.6039 | 0.1267 | 0.6039 | 0.7771 |
| No log | 2.4444 | 22 | 0.6191 | 0.1633 | 0.6191 | 0.7869 |
| No log | 2.6667 | 24 | 0.7428 | 0.0535 | 0.7428 | 0.8619 |
| No log | 2.8889 | 26 | 0.7996 | 0.2087 | 0.7996 | 0.8942 |
| No log | 3.1111 | 28 | 0.7181 | 0.2087 | 0.7181 | 0.8474 |
| No log | 3.3333 | 30 | 0.6703 | 0.2341 | 0.6703 | 0.8187 |
| No log | 3.5556 | 32 | 0.6082 | 0.3831 | 0.6082 | 0.7799 |
| No log | 3.7778 | 34 | 0.5927 | 0.4307 | 0.5927 | 0.7698 |
| No log | 4.0 | 36 | 0.5980 | 0.4193 | 0.5980 | 0.7733 |
| No log | 4.2222 | 38 | 0.5624 | 0.4555 | 0.5624 | 0.7500 |
| No log | 4.4444 | 40 | 0.5557 | 0.4402 | 0.5557 | 0.7455 |
| No log | 4.6667 | 42 | 0.6168 | 0.5211 | 0.6168 | 0.7854 |
| No log | 4.8889 | 44 | 0.5416 | 0.5725 | 0.5416 | 0.7360 |
| No log | 5.1111 | 46 | 0.6155 | 0.5498 | 0.6155 | 0.7845 |
| No log | 5.3333 | 48 | 0.7076 | 0.4261 | 0.7076 | 0.8412 |
| No log | 5.5556 | 50 | 0.8079 | 0.3845 | 0.8079 | 0.8988 |
| No log | 5.7778 | 52 | 0.5847 | 0.4935 | 0.5847 | 0.7647 |
| No log | 6.0 | 54 | 0.6084 | 0.5293 | 0.6084 | 0.7800 |
| No log | 6.2222 | 56 | 0.5565 | 0.5214 | 0.5565 | 0.7460 |
| No log | 6.4444 | 58 | 0.5861 | 0.4448 | 0.5861 | 0.7655 |
| No log | 6.6667 | 60 | 0.5651 | 0.4444 | 0.5651 | 0.7517 |
| No log | 6.8889 | 62 | 0.7047 | 0.4496 | 0.7047 | 0.8395 |
| No log | 7.1111 | 64 | 0.7583 | 0.5139 | 0.7583 | 0.8708 |
| No log | 7.3333 | 66 | 0.5842 | 0.5442 | 0.5842 | 0.7644 |
| No log | 7.5556 | 68 | 0.5345 | 0.5815 | 0.5345 | 0.7311 |
| No log | 7.7778 | 70 | 0.5890 | 0.4580 | 0.5890 | 0.7674 |
| No log | 8.0 | 72 | 0.5853 | 0.4892 | 0.5853 | 0.7651 |
| No log | 8.2222 | 74 | 0.5618 | 0.4118 | 0.5618 | 0.7495 |
| No log | 8.4444 | 76 | 0.5505 | 0.5639 | 0.5505 | 0.7420 |
| No log | 8.6667 | 78 | 0.7246 | 0.5402 | 0.7246 | 0.8512 |
| No log | 8.8889 | 80 | 0.8060 | 0.5043 | 0.8060 | 0.8978 |
| No log | 9.1111 | 82 | 0.6126 | 0.5758 | 0.6126 | 0.7827 |
| No log | 9.3333 | 84 | 0.5758 | 0.4425 | 0.5758 | 0.7588 |
| No log | 9.5556 | 86 | 0.7671 | 0.4830 | 0.7671 | 0.8758 |
| No log | 9.7778 | 88 | 0.6627 | 0.4032 | 0.6627 | 0.8140 |
| No log | 10.0 | 90 | 0.4962 | 0.5951 | 0.4962 | 0.7044 |
| No log | 10.2222 | 92 | 0.7324 | 0.4940 | 0.7324 | 0.8558 |
| No log | 10.4444 | 94 | 0.8149 | 0.4039 | 0.8149 | 0.9027 |
| No log | 10.6667 | 96 | 0.5922 | 0.4925 | 0.5922 | 0.7696 |
| No log | 10.8889 | 98 | 0.5526 | 0.3675 | 0.5526 | 0.7434 |
| No log | 11.1111 | 100 | 0.5979 | 0.3934 | 0.5979 | 0.7733 |
| No log | 11.3333 | 102 | 0.5793 | 0.3988 | 0.5793 | 0.7611 |
| No log | 11.5556 | 104 | 0.5692 | 0.5195 | 0.5692 | 0.7545 |
| No log | 11.7778 | 106 | 0.5559 | 0.4639 | 0.5559 | 0.7456 |
| No log | 12.0 | 108 | 0.5429 | 0.4659 | 0.5429 | 0.7368 |
| No log | 12.2222 | 110 | 0.6223 | 0.5085 | 0.6223 | 0.7889 |
| No log | 12.4444 | 112 | 0.7050 | 0.3988 | 0.7050 | 0.8396 |
| No log | 12.6667 | 114 | 0.7136 | 0.4204 | 0.7136 | 0.8447 |
| No log | 12.8889 | 116 | 0.5628 | 0.5286 | 0.5628 | 0.7502 |
| No log | 13.1111 | 118 | 0.5769 | 0.5758 | 0.5769 | 0.7595 |
| No log | 13.3333 | 120 | 0.5422 | 0.6058 | 0.5422 | 0.7363 |
| No log | 13.5556 | 122 | 0.5678 | 0.5348 | 0.5678 | 0.7535 |
| No log | 13.7778 | 124 | 0.7728 | 0.4277 | 0.7728 | 0.8791 |
| No log | 14.0 | 126 | 0.7211 | 0.4367 | 0.7211 | 0.8492 |
| No log | 14.2222 | 128 | 0.5503 | 0.4879 | 0.5503 | 0.7418 |
| No log | 14.4444 | 130 | 0.5384 | 0.6348 | 0.5384 | 0.7338 |
| No log | 14.6667 | 132 | 0.5641 | 0.6333 | 0.5641 | 0.7511 |
| No log | 14.8889 | 134 | 0.5756 | 0.6122 | 0.5756 | 0.7587 |
| No log | 15.1111 | 136 | 0.5283 | 0.6242 | 0.5283 | 0.7269 |
| No log | 15.3333 | 138 | 0.5555 | 0.4302 | 0.5555 | 0.7453 |
| No log | 15.5556 | 140 | 0.5459 | 0.5797 | 0.5459 | 0.7389 |
| No log | 15.7778 | 142 | 0.5420 | 0.5170 | 0.5420 | 0.7362 |
| No log | 16.0 | 144 | 0.5604 | 0.5228 | 0.5604 | 0.7486 |
| No log | 16.2222 | 146 | 0.6050 | 0.4513 | 0.6050 | 0.7778 |
| No log | 16.4444 | 148 | 0.5495 | 0.5648 | 0.5495 | 0.7413 |
| No log | 16.6667 | 150 | 0.5732 | 0.5212 | 0.5732 | 0.7571 |
| No log | 16.8889 | 152 | 0.5980 | 0.4616 | 0.5980 | 0.7733 |
| No log | 17.1111 | 154 | 0.5349 | 0.5505 | 0.5349 | 0.7314 |
| No log | 17.3333 | 156 | 0.5954 | 0.6122 | 0.5954 | 0.7716 |
| No log | 17.5556 | 158 | 0.5910 | 0.6122 | 0.5910 | 0.7688 |
| No log | 17.7778 | 160 | 0.5404 | 0.6353 | 0.5404 | 0.7351 |
| No log | 18.0 | 162 | 0.5463 | 0.6353 | 0.5463 | 0.7391 |
| No log | 18.2222 | 164 | 0.5808 | 0.6239 | 0.5808 | 0.7621 |
| No log | 18.4444 | 166 | 0.6402 | 0.5470 | 0.6402 | 0.8001 |
| No log | 18.6667 | 168 | 0.6551 | 0.5326 | 0.6551 | 0.8094 |
| No log | 18.8889 | 170 | 0.5974 | 0.5426 | 0.5974 | 0.7729 |
| No log | 19.1111 | 172 | 0.5485 | 0.5533 | 0.5485 | 0.7406 |
| No log | 19.3333 | 174 | 0.5427 | 0.5396 | 0.5427 | 0.7367 |
| No log | 19.5556 | 176 | 0.5516 | 0.5289 | 0.5516 | 0.7427 |
| No log | 19.7778 | 178 | 0.5747 | 0.5195 | 0.5747 | 0.7581 |
| No log | 20.0 | 180 | 0.5679 | 0.5437 | 0.5679 | 0.7536 |
| No log | 20.2222 | 182 | 0.5624 | 0.5572 | 0.5624 | 0.7499 |
| No log | 20.4444 | 184 | 0.6992 | 0.4836 | 0.6992 | 0.8362 |
| No log | 20.6667 | 186 | 0.8940 | 0.4277 | 0.8940 | 0.9455 |
| No log | 20.8889 | 188 | 0.8628 | 0.4074 | 0.8628 | 0.9289 |
| No log | 21.1111 | 190 | 0.6797 | 0.4462 | 0.6797 | 0.8244 |
| No log | 21.3333 | 192 | 0.5456 | 0.4752 | 0.5456 | 0.7386 |
| No log | 21.5556 | 194 | 0.5646 | 0.5228 | 0.5646 | 0.7514 |
| No log | 21.7778 | 196 | 0.7163 | 0.4552 | 0.7163 | 0.8464 |
| No log | 22.0 | 198 | 0.7092 | 0.4592 | 0.7092 | 0.8422 |
| No log | 22.2222 | 200 | 0.6044 | 0.4592 | 0.6044 | 0.7774 |
| No log | 22.4444 | 202 | 0.5643 | 0.4847 | 0.5643 | 0.7512 |
| No log | 22.6667 | 204 | 0.6131 | 0.4507 | 0.6131 | 0.7830 |
| No log | 22.8889 | 206 | 0.6479 | 0.4556 | 0.6479 | 0.8049 |
| No log | 23.1111 | 208 | 0.5945 | 0.5106 | 0.5945 | 0.7710 |
| No log | 23.3333 | 210 | 0.5330 | 0.5868 | 0.5330 | 0.7301 |
| No log | 23.5556 | 212 | 0.5212 | 0.6174 | 0.5212 | 0.7220 |
| No log | 23.7778 | 214 | 0.5256 | 0.6463 | 0.5256 | 0.7250 |
| No log | 24.0 | 216 | 0.5231 | 0.5916 | 0.5231 | 0.7233 |
| No log | 24.2222 | 218 | 0.5644 | 0.5599 | 0.5644 | 0.7513 |
| No log | 24.4444 | 220 | 0.6258 | 0.5032 | 0.6258 | 0.7911 |
| No log | 24.6667 | 222 | 0.6079 | 0.4651 | 0.6079 | 0.7797 |
| No log | 24.8889 | 224 | 0.5008 | 0.5718 | 0.5008 | 0.7077 |
| No log | 25.1111 | 226 | 0.4630 | 0.5732 | 0.4630 | 0.6805 |
| No log | 25.3333 | 228 | 0.4864 | 0.5131 | 0.4864 | 0.6974 |
| No log | 25.5556 | 230 | 0.4663 | 0.5995 | 0.4663 | 0.6829 |
| No log | 25.7778 | 232 | 0.4598 | 0.6667 | 0.4598 | 0.6781 |
| No log | 26.0 | 234 | 0.4739 | 0.7101 | 0.4739 | 0.6884 |
| No log | 26.2222 | 236 | 0.4870 | 0.5729 | 0.4870 | 0.6978 |
| No log | 26.4444 | 238 | 0.5511 | 0.5683 | 0.5511 | 0.7424 |
| No log | 26.6667 | 240 | 0.5425 | 0.5732 | 0.5425 | 0.7366 |
| No log | 26.8889 | 242 | 0.5098 | 0.6160 | 0.5098 | 0.7140 |
| No log | 27.1111 | 244 | 0.5257 | 0.5237 | 0.5257 | 0.7250 |
| No log | 27.3333 | 246 | 0.5629 | 0.5486 | 0.5629 | 0.7503 |
| No log | 27.5556 | 248 | 0.5414 | 0.5368 | 0.5414 | 0.7358 |
| No log | 27.7778 | 250 | 0.5177 | 0.5057 | 0.5177 | 0.7195 |
| No log | 28.0 | 252 | 0.5162 | 0.4991 | 0.5162 | 0.7185 |
| No log | 28.2222 | 254 | 0.5073 | 0.5286 | 0.5073 | 0.7122 |
| No log | 28.4444 | 256 | 0.5048 | 0.5815 | 0.5048 | 0.7105 |
| No log | 28.6667 | 258 | 0.5077 | 0.5143 | 0.5077 | 0.7125 |
| No log | 28.8889 | 260 | 0.5407 | 0.5498 | 0.5407 | 0.7353 |
| No log | 29.1111 | 262 | 0.5835 | 0.5046 | 0.5835 | 0.7639 |
| No log | 29.3333 | 264 | 0.5694 | 0.5168 | 0.5694 | 0.7546 |
| No log | 29.5556 | 266 | 0.5075 | 0.5854 | 0.5075 | 0.7124 |
| No log | 29.7778 | 268 | 0.5001 | 0.5488 | 0.5001 | 0.7071 |
| No log | 30.0 | 270 | 0.5252 | 0.5894 | 0.5252 | 0.7247 |
| No log | 30.2222 | 272 | 0.5380 | 0.5867 | 0.5380 | 0.7335 |
| No log | 30.4444 | 274 | 0.5157 | 0.5076 | 0.5157 | 0.7181 |
| No log | 30.6667 | 276 | 0.5354 | 0.5812 | 0.5354 | 0.7317 |
| No log | 30.8889 | 278 | 0.5581 | 0.5200 | 0.5581 | 0.7471 |
| No log | 31.1111 | 280 | 0.5299 | 0.5368 | 0.5299 | 0.7280 |
| No log | 31.3333 | 282 | 0.5193 | 0.5941 | 0.5193 | 0.7206 |
| No log | 31.5556 | 284 | 0.5272 | 0.5723 | 0.5272 | 0.7261 |
| No log | 31.7778 | 286 | 0.5232 | 0.5909 | 0.5232 | 0.7233 |
| No log | 32.0 | 288 | 0.5038 | 0.6530 | 0.5038 | 0.7098 |
| No log | 32.2222 | 290 | 0.5013 | 0.5993 | 0.5013 | 0.7081 |
| No log | 32.4444 | 292 | 0.4954 | 0.5915 | 0.4954 | 0.7038 |
| No log | 32.6667 | 294 | 0.5124 | 0.5868 | 0.5124 | 0.7158 |
| No log | 32.8889 | 296 | 0.5614 | 0.4690 | 0.5614 | 0.7493 |
| No log | 33.1111 | 298 | 0.5589 | 0.4634 | 0.5589 | 0.7476 |
| No log | 33.3333 | 300 | 0.5741 | 0.4794 | 0.5741 | 0.7577 |
| No log | 33.5556 | 302 | 0.6015 | 0.4890 | 0.6015 | 0.7756 |
| No log | 33.7778 | 304 | 0.5802 | 0.5166 | 0.5802 | 0.7617 |
| No log | 34.0 | 306 | 0.5517 | 0.5560 | 0.5517 | 0.7428 |
| No log | 34.2222 | 308 | 0.5136 | 0.6686 | 0.5136 | 0.7167 |
| No log | 34.4444 | 310 | 0.5011 | 0.6593 | 0.5011 | 0.7079 |
| No log | 34.6667 | 312 | 0.4965 | 0.6333 | 0.4965 | 0.7046 |
| No log | 34.8889 | 314 | 0.5309 | 0.5315 | 0.5309 | 0.7286 |
| No log | 35.1111 | 316 | 0.5513 | 0.5528 | 0.5513 | 0.7425 |
| No log | 35.3333 | 318 | 0.5538 | 0.5184 | 0.5538 | 0.7442 |
| No log | 35.5556 | 320 | 0.5852 | 0.4851 | 0.5852 | 0.7650 |
| No log | 35.7778 | 322 | 0.5561 | 0.5184 | 0.5561 | 0.7457 |
| No log | 36.0 | 324 | 0.5031 | 0.6672 | 0.5031 | 0.7093 |
| No log | 36.2222 | 326 | 0.5177 | 0.6730 | 0.5177 | 0.7195 |
| No log | 36.4444 | 328 | 0.5164 | 0.6730 | 0.5164 | 0.7186 |
| No log | 36.6667 | 330 | 0.5081 | 0.6753 | 0.5081 | 0.7128 |
| No log | 36.8889 | 332 | 0.5502 | 0.5407 | 0.5502 | 0.7417 |
| No log | 37.1111 | 334 | 0.5831 | 0.4794 | 0.5831 | 0.7636 |
| No log | 37.3333 | 336 | 0.5470 | 0.4969 | 0.5470 | 0.7396 |
| No log | 37.5556 | 338 | 0.5093 | 0.6289 | 0.5093 | 0.7137 |
| No log | 37.7778 | 340 | 0.5209 | 0.5218 | 0.5209 | 0.7217 |
| No log | 38.0 | 342 | 0.5305 | 0.5488 | 0.5305 | 0.7283 |
| No log | 38.2222 | 344 | 0.5217 | 0.6564 | 0.5217 | 0.7223 |
| No log | 38.4444 | 346 | 0.5317 | 0.5916 | 0.5317 | 0.7291 |
| No log | 38.6667 | 348 | 0.5397 | 0.5809 | 0.5397 | 0.7346 |
| No log | 38.8889 | 350 | 0.5313 | 0.6257 | 0.5313 | 0.7289 |
| No log | 39.1111 | 352 | 0.5246 | 0.6146 | 0.5246 | 0.7243 |
| No log | 39.3333 | 354 | 0.5237 | 0.5373 | 0.5237 | 0.7237 |
| No log | 39.5556 | 356 | 0.5281 | 0.5961 | 0.5281 | 0.7267 |
| No log | 39.7778 | 358 | 0.5213 | 0.5770 | 0.5213 | 0.7220 |
| No log | 40.0 | 360 | 0.5166 | 0.5956 | 0.5166 | 0.7187 |
| No log | 40.2222 | 362 | 0.5143 | 0.5956 | 0.5143 | 0.7171 |
| No log | 40.4444 | 364 | 0.5081 | 0.5956 | 0.5081 | 0.7128 |
| No log | 40.6667 | 366 | 0.5041 | 0.6351 | 0.5041 | 0.7100 |
| No log | 40.8889 | 368 | 0.5028 | 0.5860 | 0.5028 | 0.7091 |
| No log | 41.1111 | 370 | 0.5026 | 0.5782 | 0.5026 | 0.7089 |
| No log | 41.3333 | 372 | 0.5015 | 0.6018 | 0.5015 | 0.7082 |
| No log | 41.5556 | 374 | 0.5046 | 0.6018 | 0.5046 | 0.7104 |
| No log | 41.7778 | 376 | 0.5023 | 0.5687 | 0.5023 | 0.7087 |
| No log | 42.0 | 378 | 0.5268 | 0.4895 | 0.5268 | 0.7258 |
| No log | 42.2222 | 380 | 0.5621 | 0.4765 | 0.5621 | 0.7497 |
| No log | 42.4444 | 382 | 0.5577 | 0.4429 | 0.5577 | 0.7468 |
| No log | 42.6667 | 384 | 0.5222 | 0.5449 | 0.5222 | 0.7227 |
| No log | 42.8889 | 386 | 0.4858 | 0.6439 | 0.4858 | 0.6970 |
| No log | 43.1111 | 388 | 0.4928 | 0.6214 | 0.4928 | 0.7020 |
| No log | 43.3333 | 390 | 0.5045 | 0.6087 | 0.5045 | 0.7103 |
| No log | 43.5556 | 392 | 0.5261 | 0.5894 | 0.5261 | 0.7253 |
| No log | 43.7778 | 394 | 0.5190 | 0.6214 | 0.5190 | 0.7204 |
| No log | 44.0 | 396 | 0.5207 | 0.6563 | 0.5207 | 0.7216 |
| No log | 44.2222 | 398 | 0.5645 | 0.5344 | 0.5645 | 0.7513 |
| No log | 44.4444 | 400 | 0.5824 | 0.4843 | 0.5824 | 0.7632 |
| No log | 44.6667 | 402 | 0.5591 | 0.4935 | 0.5591 | 0.7477 |
| No log | 44.8889 | 404 | 0.5292 | 0.5125 | 0.5292 | 0.7275 |
| No log | 45.1111 | 406 | 0.5302 | 0.6087 | 0.5302 | 0.7281 |
| No log | 45.3333 | 408 | 0.5458 | 0.5639 | 0.5458 | 0.7388 |
| No log | 45.5556 | 410 | 0.5362 | 0.5420 | 0.5362 | 0.7323 |
| No log | 45.7778 | 412 | 0.5267 | 0.5289 | 0.5267 | 0.7257 |
| No log | 46.0 | 414 | 0.5143 | 0.5533 | 0.5143 | 0.7171 |
| No log | 46.2222 | 416 | 0.5074 | 0.6010 | 0.5074 | 0.7123 |
| No log | 46.4444 | 418 | 0.5114 | 0.6060 | 0.5114 | 0.7151 |
| No log | 46.6667 | 420 | 0.5399 | 0.4997 | 0.5399 | 0.7348 |
| No log | 46.8889 | 422 | 0.5577 | 0.5363 | 0.5577 | 0.7468 |
| No log | 47.1111 | 424 | 0.5404 | 0.5692 | 0.5404 | 0.7351 |
| No log | 47.3333 | 426 | 0.5119 | 0.5809 | 0.5119 | 0.7155 |
| No log | 47.5556 | 428 | 0.4990 | 0.5939 | 0.4990 | 0.7064 |
| No log | 47.7778 | 430 | 0.4975 | 0.6111 | 0.4975 | 0.7054 |
| No log | 48.0 | 432 | 0.5018 | 0.5732 | 0.5018 | 0.7083 |
| No log | 48.2222 | 434 | 0.5057 | 0.5485 | 0.5057 | 0.7111 |
| No log | 48.4444 | 436 | 0.5049 | 0.5485 | 0.5049 | 0.7105 |
| No log | 48.6667 | 438 | 0.5094 | 0.5485 | 0.5094 | 0.7137 |
| No log | 48.8889 | 440 | 0.5355 | 0.5516 | 0.5355 | 0.7318 |
| No log | 49.1111 | 442 | 0.5386 | 0.5271 | 0.5386 | 0.7339 |
| No log | 49.3333 | 444 | 0.5052 | 0.5768 | 0.5052 | 0.7108 |
| No log | 49.5556 | 446 | 0.4925 | 0.6435 | 0.4925 | 0.7018 |
| No log | 49.7778 | 448 | 0.5191 | 0.4869 | 0.5191 | 0.7205 |
| No log | 50.0 | 450 | 0.5461 | 0.4389 | 0.5461 | 0.7390 |
| No log | 50.2222 | 452 | 0.5371 | 0.4584 | 0.5371 | 0.7328 |
| No log | 50.4444 | 454 | 0.5104 | 0.4657 | 0.5104 | 0.7144 |
| No log | 50.6667 | 456 | 0.5003 | 0.5182 | 0.5003 | 0.7073 |
| No log | 50.8889 | 458 | 0.5056 | 0.5467 | 0.5056 | 0.7110 |
| No log | 51.1111 | 460 | 0.5114 | 0.5036 | 0.5114 | 0.7151 |
| No log | 51.3333 | 462 | 0.5042 | 0.5467 | 0.5042 | 0.7101 |
| No log | 51.5556 | 464 | 0.5082 | 0.5305 | 0.5082 | 0.7129 |
| No log | 51.7778 | 466 | 0.5509 | 0.4908 | 0.5509 | 0.7422 |
| No log | 52.0 | 468 | 0.5990 | 0.4321 | 0.5990 | 0.7740 |
| No log | 52.2222 | 470 | 0.5817 | 0.4949 | 0.5817 | 0.7627 |
| No log | 52.4444 | 472 | 0.5448 | 0.5153 | 0.5448 | 0.7381 |
| No log | 52.6667 | 474 | 0.5205 | 0.5182 | 0.5205 | 0.7214 |
| No log | 52.8889 | 476 | 0.5070 | 0.5503 | 0.5070 | 0.7121 |
| No log | 53.1111 | 478 | 0.5146 | 0.5467 | 0.5146 | 0.7173 |
| No log | 53.3333 | 480 | 0.5245 | 0.5036 | 0.5245 | 0.7242 |
| No log | 53.5556 | 482 | 0.5140 | 0.5036 | 0.5140 | 0.7169 |
| No log | 53.7778 | 484 | 0.5057 | 0.5326 | 0.5057 | 0.7112 |
| No log | 54.0 | 486 | 0.5193 | 0.5538 | 0.5193 | 0.7206 |
| No log | 54.2222 | 488 | 0.5314 | 0.5283 | 0.5314 | 0.7290 |
| No log | 54.4444 | 490 | 0.5384 | 0.4821 | 0.5384 | 0.7338 |
| No log | 54.6667 | 492 | 0.5332 | 0.5046 | 0.5332 | 0.7302 |
| No log | 54.8889 | 494 | 0.5141 | 0.5765 | 0.5141 | 0.7170 |
| No log | 55.1111 | 496 | 0.5050 | 0.6620 | 0.5050 | 0.7106 |
| No log | 55.3333 | 498 | 0.5158 | 0.6004 | 0.5158 | 0.7182 |
| 0.2286 | 55.5556 | 500 | 0.5303 | 0.5867 | 0.5303 | 0.7282 |
| 0.2286 | 55.7778 | 502 | 0.5269 | 0.5639 | 0.5269 | 0.7259 |
| 0.2286 | 56.0 | 504 | 0.5135 | 0.6087 | 0.5135 | 0.7166 |
| 0.2286 | 56.2222 | 506 | 0.5022 | 0.6201 | 0.5022 | 0.7087 |
| 0.2286 | 56.4444 | 508 | 0.5106 | 0.5507 | 0.5106 | 0.7146 |
| 0.2286 | 56.6667 | 510 | 0.5499 | 0.5414 | 0.5499 | 0.7415 |
| 0.2286 | 56.8889 | 512 | 0.5763 | 0.4952 | 0.5763 | 0.7592 |
| 0.2286 | 57.1111 | 514 | 0.5733 | 0.4952 | 0.5733 | 0.7572 |
| 0.2286 | 57.3333 | 516 | 0.5431 | 0.5414 | 0.5431 | 0.7369 |
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_k2_task7_organization
Base model
aubmindlab/bert-base-arabertv02