ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k10_task2_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: 0.5385
- Qwk: 0.5762
- Mse: 0.5385
- Rmse: 0.7339
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 | 0.0370 | 2 | 4.6666 | -0.0101 | 4.6666 | 2.1602 |
No log | 0.0741 | 4 | 2.6579 | 0.0165 | 2.6579 | 1.6303 |
No log | 0.1111 | 6 | 1.6278 | -0.0618 | 1.6278 | 1.2759 |
No log | 0.1481 | 8 | 1.0826 | -0.0498 | 1.0826 | 1.0405 |
No log | 0.1852 | 10 | 0.9343 | 0.0228 | 0.9343 | 0.9666 |
No log | 0.2222 | 12 | 1.0024 | 0.0673 | 1.0024 | 1.0012 |
No log | 0.2593 | 14 | 0.9361 | 0.1284 | 0.9361 | 0.9675 |
No log | 0.2963 | 16 | 0.7802 | 0.2150 | 0.7802 | 0.8833 |
No log | 0.3333 | 18 | 0.7909 | 0.2436 | 0.7909 | 0.8893 |
No log | 0.3704 | 20 | 0.9289 | 0.2171 | 0.9289 | 0.9638 |
No log | 0.4074 | 22 | 1.0195 | 0.1287 | 1.0195 | 1.0097 |
No log | 0.4444 | 24 | 1.0792 | 0.0848 | 1.0792 | 1.0389 |
No log | 0.4815 | 26 | 1.1570 | 0.0262 | 1.1570 | 1.0756 |
No log | 0.5185 | 28 | 1.0403 | 0.1175 | 1.0403 | 1.0199 |
No log | 0.5556 | 30 | 0.8599 | 0.2097 | 0.8599 | 0.9273 |
No log | 0.5926 | 32 | 0.8642 | 0.1927 | 0.8642 | 0.9296 |
No log | 0.6296 | 34 | 0.8831 | 0.2085 | 0.8831 | 0.9397 |
No log | 0.6667 | 36 | 0.8455 | 0.2171 | 0.8455 | 0.9195 |
No log | 0.7037 | 38 | 0.7585 | 0.2213 | 0.7585 | 0.8709 |
No log | 0.7407 | 40 | 0.7268 | 0.2825 | 0.7268 | 0.8525 |
No log | 0.7778 | 42 | 0.6922 | 0.3785 | 0.6922 | 0.8320 |
No log | 0.8148 | 44 | 0.7243 | 0.2985 | 0.7243 | 0.8511 |
No log | 0.8519 | 46 | 0.8091 | 0.2551 | 0.8091 | 0.8995 |
No log | 0.8889 | 48 | 0.7171 | 0.2929 | 0.7171 | 0.8468 |
No log | 0.9259 | 50 | 0.7815 | 0.3420 | 0.7815 | 0.8841 |
No log | 0.9630 | 52 | 0.7787 | 0.3794 | 0.7787 | 0.8824 |
No log | 1.0 | 54 | 0.9737 | 0.2334 | 0.9737 | 0.9867 |
No log | 1.0370 | 56 | 1.1437 | 0.2003 | 1.1437 | 1.0695 |
No log | 1.0741 | 58 | 0.9231 | 0.2724 | 0.9231 | 0.9608 |
No log | 1.1111 | 60 | 0.5911 | 0.5012 | 0.5911 | 0.7688 |
No log | 1.1481 | 62 | 0.7417 | 0.3984 | 0.7417 | 0.8612 |
No log | 1.1852 | 64 | 0.7534 | 0.4223 | 0.7534 | 0.8680 |
No log | 1.2222 | 66 | 0.6008 | 0.4344 | 0.6008 | 0.7751 |
No log | 1.2593 | 68 | 0.8308 | 0.3179 | 0.8308 | 0.9115 |
No log | 1.2963 | 70 | 0.8112 | 0.3412 | 0.8112 | 0.9007 |
No log | 1.3333 | 72 | 0.5699 | 0.5421 | 0.5699 | 0.7549 |
No log | 1.3704 | 74 | 0.6328 | 0.4741 | 0.6328 | 0.7955 |
No log | 1.4074 | 76 | 0.5622 | 0.5329 | 0.5622 | 0.7498 |
No log | 1.4444 | 78 | 0.5883 | 0.5214 | 0.5883 | 0.7670 |
No log | 1.4815 | 80 | 0.6002 | 0.5241 | 0.6002 | 0.7747 |
No log | 1.5185 | 82 | 0.5598 | 0.4976 | 0.5598 | 0.7482 |
No log | 1.5556 | 84 | 0.5503 | 0.5589 | 0.5503 | 0.7418 |
No log | 1.5926 | 86 | 0.5756 | 0.5494 | 0.5756 | 0.7587 |
No log | 1.6296 | 88 | 0.5861 | 0.5199 | 0.5861 | 0.7656 |
No log | 1.6667 | 90 | 0.5764 | 0.5999 | 0.5764 | 0.7592 |
No log | 1.7037 | 92 | 0.5850 | 0.5878 | 0.5850 | 0.7649 |
No log | 1.7407 | 94 | 0.5705 | 0.5485 | 0.5705 | 0.7553 |
No log | 1.7778 | 96 | 0.5761 | 0.5444 | 0.5761 | 0.7590 |
No log | 1.8148 | 98 | 0.5933 | 0.5313 | 0.5933 | 0.7703 |
No log | 1.8519 | 100 | 0.6172 | 0.5814 | 0.6172 | 0.7856 |
No log | 1.8889 | 102 | 0.6480 | 0.5843 | 0.6480 | 0.8050 |
No log | 1.9259 | 104 | 0.6541 | 0.5626 | 0.6541 | 0.8087 |
No log | 1.9630 | 106 | 0.7146 | 0.5273 | 0.7146 | 0.8453 |
No log | 2.0 | 108 | 0.6753 | 0.5378 | 0.6753 | 0.8218 |
No log | 2.0370 | 110 | 0.6642 | 0.5228 | 0.6642 | 0.8150 |
No log | 2.0741 | 112 | 0.7652 | 0.5275 | 0.7652 | 0.8748 |
No log | 2.1111 | 114 | 0.9059 | 0.4435 | 0.9059 | 0.9518 |
No log | 2.1481 | 116 | 0.7155 | 0.5278 | 0.7155 | 0.8459 |
No log | 2.1852 | 118 | 0.6341 | 0.5167 | 0.6341 | 0.7963 |
No log | 2.2222 | 120 | 0.6279 | 0.5461 | 0.6279 | 0.7924 |
No log | 2.2593 | 122 | 0.6341 | 0.5768 | 0.6341 | 0.7963 |
No log | 2.2963 | 124 | 0.6144 | 0.5274 | 0.6144 | 0.7838 |
No log | 2.3333 | 126 | 0.8900 | 0.4897 | 0.8900 | 0.9434 |
No log | 2.3704 | 128 | 1.1403 | 0.3719 | 1.1403 | 1.0678 |
No log | 2.4074 | 130 | 0.8808 | 0.4465 | 0.8808 | 0.9385 |
No log | 2.4444 | 132 | 0.6629 | 0.5581 | 0.6629 | 0.8142 |
No log | 2.4815 | 134 | 0.6587 | 0.5581 | 0.6587 | 0.8116 |
No log | 2.5185 | 136 | 0.7803 | 0.4881 | 0.7803 | 0.8834 |
No log | 2.5556 | 138 | 0.8016 | 0.5114 | 0.8016 | 0.8953 |
No log | 2.5926 | 140 | 0.6509 | 0.5821 | 0.6509 | 0.8068 |
No log | 2.6296 | 142 | 0.6588 | 0.5393 | 0.6588 | 0.8117 |
No log | 2.6667 | 144 | 0.6807 | 0.5450 | 0.6807 | 0.8251 |
No log | 2.7037 | 146 | 0.6564 | 0.5373 | 0.6564 | 0.8102 |
No log | 2.7407 | 148 | 0.6451 | 0.5349 | 0.6451 | 0.8032 |
No log | 2.7778 | 150 | 0.6319 | 0.5260 | 0.6319 | 0.7949 |
No log | 2.8148 | 152 | 0.7999 | 0.5532 | 0.7999 | 0.8944 |
No log | 2.8519 | 154 | 0.9569 | 0.4603 | 0.9569 | 0.9782 |
No log | 2.8889 | 156 | 0.7503 | 0.5255 | 0.7503 | 0.8662 |
No log | 2.9259 | 158 | 0.6366 | 0.5054 | 0.6366 | 0.7979 |
No log | 2.9630 | 160 | 0.6763 | 0.5160 | 0.6763 | 0.8224 |
No log | 3.0 | 162 | 0.6524 | 0.5674 | 0.6524 | 0.8077 |
No log | 3.0370 | 164 | 0.6542 | 0.5405 | 0.6542 | 0.8088 |
No log | 3.0741 | 166 | 0.6845 | 0.5622 | 0.6845 | 0.8274 |
No log | 3.1111 | 168 | 0.6983 | 0.5497 | 0.6983 | 0.8357 |
No log | 3.1481 | 170 | 0.7137 | 0.6075 | 0.7137 | 0.8448 |
No log | 3.1852 | 172 | 0.6872 | 0.6186 | 0.6872 | 0.8290 |
No log | 3.2222 | 174 | 0.7287 | 0.5266 | 0.7287 | 0.8536 |
No log | 3.2593 | 176 | 0.8724 | 0.4212 | 0.8724 | 0.9340 |
No log | 3.2963 | 178 | 0.7356 | 0.4672 | 0.7356 | 0.8577 |
No log | 3.3333 | 180 | 0.6125 | 0.5848 | 0.6125 | 0.7826 |
No log | 3.3704 | 182 | 0.6139 | 0.5884 | 0.6139 | 0.7835 |
No log | 3.4074 | 184 | 0.5979 | 0.5487 | 0.5979 | 0.7732 |
No log | 3.4444 | 186 | 0.6362 | 0.5638 | 0.6362 | 0.7976 |
No log | 3.4815 | 188 | 0.6456 | 0.5358 | 0.6456 | 0.8035 |
No log | 3.5185 | 190 | 0.6026 | 0.5729 | 0.6026 | 0.7763 |
No log | 3.5556 | 192 | 0.6116 | 0.5768 | 0.6116 | 0.7820 |
No log | 3.5926 | 194 | 0.6156 | 0.5843 | 0.6156 | 0.7846 |
No log | 3.6296 | 196 | 0.6163 | 0.6093 | 0.6163 | 0.7851 |
No log | 3.6667 | 198 | 0.6544 | 0.6136 | 0.6544 | 0.8090 |
No log | 3.7037 | 200 | 0.7151 | 0.5660 | 0.7151 | 0.8456 |
No log | 3.7407 | 202 | 0.7535 | 0.5724 | 0.7535 | 0.8680 |
No log | 3.7778 | 204 | 0.7407 | 0.5844 | 0.7407 | 0.8607 |
No log | 3.8148 | 206 | 0.8255 | 0.5953 | 0.8255 | 0.9086 |
No log | 3.8519 | 208 | 0.8690 | 0.5611 | 0.8690 | 0.9322 |
No log | 3.8889 | 210 | 0.8343 | 0.5855 | 0.8343 | 0.9134 |
No log | 3.9259 | 212 | 0.7909 | 0.5872 | 0.7909 | 0.8893 |
No log | 3.9630 | 214 | 0.7680 | 0.5973 | 0.7680 | 0.8764 |
No log | 4.0 | 216 | 0.7346 | 0.6033 | 0.7346 | 0.8571 |
No log | 4.0370 | 218 | 0.7426 | 0.6105 | 0.7426 | 0.8618 |
No log | 4.0741 | 220 | 0.8577 | 0.5074 | 0.8577 | 0.9261 |
No log | 4.1111 | 222 | 0.7738 | 0.5987 | 0.7738 | 0.8797 |
No log | 4.1481 | 224 | 0.6327 | 0.6005 | 0.6327 | 0.7954 |
No log | 4.1852 | 226 | 0.5939 | 0.5930 | 0.5939 | 0.7707 |
No log | 4.2222 | 228 | 0.5918 | 0.6093 | 0.5918 | 0.7693 |
No log | 4.2593 | 230 | 0.5892 | 0.5803 | 0.5892 | 0.7676 |
No log | 4.2963 | 232 | 0.6659 | 0.5702 | 0.6659 | 0.8160 |
No log | 4.3333 | 234 | 0.7278 | 0.5725 | 0.7278 | 0.8531 |
No log | 4.3704 | 236 | 0.7009 | 0.6193 | 0.7009 | 0.8372 |
No log | 4.4074 | 238 | 0.6552 | 0.5853 | 0.6552 | 0.8094 |
No log | 4.4444 | 240 | 0.7608 | 0.5472 | 0.7608 | 0.8723 |
No log | 4.4815 | 242 | 0.7806 | 0.4995 | 0.7806 | 0.8835 |
No log | 4.5185 | 244 | 0.6629 | 0.5862 | 0.6629 | 0.8142 |
No log | 4.5556 | 246 | 0.6333 | 0.5864 | 0.6333 | 0.7958 |
No log | 4.5926 | 248 | 0.6262 | 0.6070 | 0.6262 | 0.7913 |
No log | 4.6296 | 250 | 0.6404 | 0.5953 | 0.6404 | 0.8003 |
No log | 4.6667 | 252 | 0.6771 | 0.5517 | 0.6771 | 0.8229 |
No log | 4.7037 | 254 | 0.7019 | 0.5242 | 0.7019 | 0.8378 |
No log | 4.7407 | 256 | 0.6583 | 0.5493 | 0.6583 | 0.8114 |
No log | 4.7778 | 258 | 0.5930 | 0.5625 | 0.5930 | 0.7701 |
No log | 4.8148 | 260 | 0.6261 | 0.5640 | 0.6261 | 0.7913 |
No log | 4.8519 | 262 | 0.6204 | 0.5732 | 0.6204 | 0.7876 |
No log | 4.8889 | 264 | 0.5988 | 0.5833 | 0.5988 | 0.7738 |
No log | 4.9259 | 266 | 0.6029 | 0.5606 | 0.6029 | 0.7764 |
No log | 4.9630 | 268 | 0.5912 | 0.5753 | 0.5912 | 0.7689 |
No log | 5.0 | 270 | 0.5899 | 0.6350 | 0.5899 | 0.7680 |
No log | 5.0370 | 272 | 0.6150 | 0.5850 | 0.6150 | 0.7842 |
No log | 5.0741 | 274 | 0.5974 | 0.5701 | 0.5974 | 0.7729 |
No log | 5.1111 | 276 | 0.5816 | 0.6085 | 0.5816 | 0.7626 |
No log | 5.1481 | 278 | 0.6190 | 0.6057 | 0.6190 | 0.7868 |
No log | 5.1852 | 280 | 0.6779 | 0.5639 | 0.6779 | 0.8233 |
No log | 5.2222 | 282 | 0.6216 | 0.5849 | 0.6216 | 0.7884 |
No log | 5.2593 | 284 | 0.5624 | 0.6052 | 0.5624 | 0.7499 |
No log | 5.2963 | 286 | 0.5605 | 0.5212 | 0.5605 | 0.7487 |
No log | 5.3333 | 288 | 0.5447 | 0.4991 | 0.5447 | 0.7381 |
No log | 5.3704 | 290 | 0.5445 | 0.5032 | 0.5445 | 0.7379 |
No log | 5.4074 | 292 | 0.5518 | 0.4786 | 0.5518 | 0.7428 |
No log | 5.4444 | 294 | 0.5599 | 0.4751 | 0.5599 | 0.7483 |
No log | 5.4815 | 296 | 0.5752 | 0.4850 | 0.5752 | 0.7584 |
No log | 5.5185 | 298 | 0.5956 | 0.5327 | 0.5956 | 0.7718 |
No log | 5.5556 | 300 | 0.6236 | 0.5382 | 0.6236 | 0.7897 |
No log | 5.5926 | 302 | 0.6306 | 0.5635 | 0.6306 | 0.7941 |
No log | 5.6296 | 304 | 0.6319 | 0.5885 | 0.6319 | 0.7949 |
No log | 5.6667 | 306 | 0.6438 | 0.5776 | 0.6438 | 0.8024 |
No log | 5.7037 | 308 | 0.6311 | 0.5607 | 0.6311 | 0.7944 |
No log | 5.7407 | 310 | 0.5720 | 0.5165 | 0.5720 | 0.7563 |
No log | 5.7778 | 312 | 0.5507 | 0.5492 | 0.5507 | 0.7421 |
No log | 5.8148 | 314 | 0.5394 | 0.5352 | 0.5394 | 0.7344 |
No log | 5.8519 | 316 | 0.5505 | 0.5491 | 0.5505 | 0.7420 |
No log | 5.8889 | 318 | 0.5214 | 0.5586 | 0.5214 | 0.7221 |
No log | 5.9259 | 320 | 0.5339 | 0.5345 | 0.5339 | 0.7307 |
No log | 5.9630 | 322 | 0.5443 | 0.5377 | 0.5443 | 0.7378 |
No log | 6.0 | 324 | 0.5245 | 0.5778 | 0.5245 | 0.7242 |
No log | 6.0370 | 326 | 0.5820 | 0.5445 | 0.5820 | 0.7629 |
No log | 6.0741 | 328 | 0.5603 | 0.5642 | 0.5603 | 0.7485 |
No log | 6.1111 | 330 | 0.5056 | 0.5502 | 0.5056 | 0.7111 |
No log | 6.1481 | 332 | 0.5076 | 0.5440 | 0.5076 | 0.7125 |
No log | 6.1852 | 334 | 0.5065 | 0.5479 | 0.5065 | 0.7117 |
No log | 6.2222 | 336 | 0.5153 | 0.5422 | 0.5153 | 0.7179 |
No log | 6.2593 | 338 | 0.5167 | 0.5779 | 0.5167 | 0.7188 |
No log | 6.2963 | 340 | 0.5266 | 0.5868 | 0.5266 | 0.7257 |
No log | 6.3333 | 342 | 0.5507 | 0.5883 | 0.5507 | 0.7421 |
No log | 6.3704 | 344 | 0.5780 | 0.5631 | 0.5780 | 0.7602 |
No log | 6.4074 | 346 | 0.5507 | 0.5752 | 0.5507 | 0.7421 |
No log | 6.4444 | 348 | 0.5398 | 0.5349 | 0.5398 | 0.7347 |
No log | 6.4815 | 350 | 0.5329 | 0.5427 | 0.5329 | 0.7300 |
No log | 6.5185 | 352 | 0.5332 | 0.5820 | 0.5332 | 0.7302 |
No log | 6.5556 | 354 | 0.5406 | 0.5797 | 0.5406 | 0.7352 |
No log | 6.5926 | 356 | 0.5419 | 0.5733 | 0.5419 | 0.7361 |
No log | 6.6296 | 358 | 0.5379 | 0.5633 | 0.5379 | 0.7334 |
No log | 6.6667 | 360 | 0.5510 | 0.5560 | 0.5510 | 0.7423 |
No log | 6.7037 | 362 | 0.5597 | 0.5762 | 0.5597 | 0.7481 |
No log | 6.7407 | 364 | 0.5845 | 0.5772 | 0.5845 | 0.7645 |
No log | 6.7778 | 366 | 0.6407 | 0.4963 | 0.6407 | 0.8004 |
No log | 6.8148 | 368 | 0.8010 | 0.4578 | 0.8010 | 0.8950 |
No log | 6.8519 | 370 | 0.8308 | 0.4017 | 0.8308 | 0.9115 |
No log | 6.8889 | 372 | 0.6263 | 0.5680 | 0.6263 | 0.7914 |
No log | 6.9259 | 374 | 0.5728 | 0.5731 | 0.5728 | 0.7568 |
No log | 6.9630 | 376 | 0.6501 | 0.5108 | 0.6501 | 0.8063 |
No log | 7.0 | 378 | 0.6053 | 0.5645 | 0.6053 | 0.7780 |
No log | 7.0370 | 380 | 0.5670 | 0.5678 | 0.5670 | 0.7530 |
No log | 7.0741 | 382 | 0.5684 | 0.5466 | 0.5684 | 0.7539 |
No log | 7.1111 | 384 | 0.5879 | 0.5576 | 0.5879 | 0.7667 |
No log | 7.1481 | 386 | 0.6668 | 0.5395 | 0.6668 | 0.8166 |
No log | 7.1852 | 388 | 0.7959 | 0.5047 | 0.7959 | 0.8921 |
No log | 7.2222 | 390 | 0.8071 | 0.4634 | 0.8071 | 0.8984 |
No log | 7.2593 | 392 | 0.6750 | 0.5264 | 0.6750 | 0.8216 |
No log | 7.2963 | 394 | 0.5774 | 0.5622 | 0.5774 | 0.7599 |
No log | 7.3333 | 396 | 0.5669 | 0.5581 | 0.5669 | 0.7530 |
No log | 7.3704 | 398 | 0.5955 | 0.5839 | 0.5955 | 0.7717 |
No log | 7.4074 | 400 | 0.7667 | 0.5125 | 0.7667 | 0.8756 |
No log | 7.4444 | 402 | 0.9009 | 0.4476 | 0.9009 | 0.9492 |
No log | 7.4815 | 404 | 0.8068 | 0.5125 | 0.8068 | 0.8982 |
No log | 7.5185 | 406 | 0.6169 | 0.5383 | 0.6169 | 0.7854 |
No log | 7.5556 | 408 | 0.5543 | 0.4916 | 0.5543 | 0.7445 |
No log | 7.5926 | 410 | 0.5802 | 0.5170 | 0.5802 | 0.7617 |
No log | 7.6296 | 412 | 0.5661 | 0.5363 | 0.5661 | 0.7524 |
No log | 7.6667 | 414 | 0.5507 | 0.5111 | 0.5507 | 0.7421 |
No log | 7.7037 | 416 | 0.5627 | 0.5338 | 0.5627 | 0.7501 |
No log | 7.7407 | 418 | 0.5613 | 0.5355 | 0.5613 | 0.7492 |
No log | 7.7778 | 420 | 0.5402 | 0.4949 | 0.5402 | 0.7350 |
No log | 7.8148 | 422 | 0.5678 | 0.5414 | 0.5678 | 0.7535 |
No log | 7.8519 | 424 | 0.6102 | 0.4996 | 0.6102 | 0.7812 |
No log | 7.8889 | 426 | 0.5985 | 0.5253 | 0.5985 | 0.7736 |
No log | 7.9259 | 428 | 0.5484 | 0.5112 | 0.5484 | 0.7406 |
No log | 7.9630 | 430 | 0.5439 | 0.5091 | 0.5439 | 0.7375 |
No log | 8.0 | 432 | 0.5487 | 0.5199 | 0.5487 | 0.7407 |
No log | 8.0370 | 434 | 0.6097 | 0.4983 | 0.6097 | 0.7809 |
No log | 8.0741 | 436 | 0.5810 | 0.5351 | 0.5810 | 0.7622 |
No log | 8.1111 | 438 | 0.5390 | 0.4786 | 0.5390 | 0.7342 |
No log | 8.1481 | 440 | 0.5996 | 0.5354 | 0.5996 | 0.7744 |
No log | 8.1852 | 442 | 0.6372 | 0.5484 | 0.6372 | 0.7983 |
No log | 8.2222 | 444 | 0.5854 | 0.5168 | 0.5854 | 0.7651 |
No log | 8.2593 | 446 | 0.5477 | 0.5130 | 0.5477 | 0.7401 |
No log | 8.2963 | 448 | 0.5571 | 0.4916 | 0.5571 | 0.7464 |
No log | 8.3333 | 450 | 0.5513 | 0.4916 | 0.5513 | 0.7425 |
No log | 8.3704 | 452 | 0.5414 | 0.5345 | 0.5414 | 0.7358 |
No log | 8.4074 | 454 | 0.5874 | 0.6055 | 0.5874 | 0.7664 |
No log | 8.4444 | 456 | 0.6224 | 0.5278 | 0.6224 | 0.7889 |
No log | 8.4815 | 458 | 0.6250 | 0.5678 | 0.6250 | 0.7906 |
No log | 8.5185 | 460 | 0.5906 | 0.5889 | 0.5906 | 0.7685 |
No log | 8.5556 | 462 | 0.5842 | 0.5799 | 0.5842 | 0.7643 |
No log | 8.5926 | 464 | 0.5830 | 0.5605 | 0.5830 | 0.7636 |
No log | 8.6296 | 466 | 0.5627 | 0.6006 | 0.5627 | 0.7501 |
No log | 8.6667 | 468 | 0.5795 | 0.5965 | 0.5795 | 0.7612 |
No log | 8.7037 | 470 | 0.6190 | 0.5677 | 0.6190 | 0.7868 |
No log | 8.7407 | 472 | 0.6712 | 0.5400 | 0.6712 | 0.8192 |
No log | 8.7778 | 474 | 0.7151 | 0.5267 | 0.7151 | 0.8457 |
No log | 8.8148 | 476 | 0.7080 | 0.5290 | 0.7080 | 0.8415 |
No log | 8.8519 | 478 | 0.6745 | 0.5462 | 0.6745 | 0.8213 |
No log | 8.8889 | 480 | 0.6371 | 0.5457 | 0.6371 | 0.7982 |
No log | 8.9259 | 482 | 0.6035 | 0.5516 | 0.6035 | 0.7769 |
No log | 8.9630 | 484 | 0.5660 | 0.5802 | 0.5660 | 0.7523 |
No log | 9.0 | 486 | 0.5362 | 0.5547 | 0.5362 | 0.7323 |
No log | 9.0370 | 488 | 0.5325 | 0.5572 | 0.5325 | 0.7297 |
No log | 9.0741 | 490 | 0.5401 | 0.5668 | 0.5401 | 0.7349 |
No log | 9.1111 | 492 | 0.5361 | 0.6016 | 0.5361 | 0.7322 |
No log | 9.1481 | 494 | 0.5468 | 0.6242 | 0.5468 | 0.7395 |
No log | 9.1852 | 496 | 0.5587 | 0.6145 | 0.5587 | 0.7475 |
No log | 9.2222 | 498 | 0.5873 | 0.5827 | 0.5873 | 0.7664 |
0.3372 | 9.2593 | 500 | 0.5798 | 0.5916 | 0.5798 | 0.7614 |
0.3372 | 9.2963 | 502 | 0.6258 | 0.6252 | 0.6258 | 0.7911 |
0.3372 | 9.3333 | 504 | 0.7786 | 0.4914 | 0.7786 | 0.8824 |
0.3372 | 9.3704 | 506 | 0.8184 | 0.4403 | 0.8184 | 0.9047 |
0.3372 | 9.4074 | 508 | 0.6552 | 0.6038 | 0.6552 | 0.8094 |
0.3372 | 9.4444 | 510 | 0.5901 | 0.5788 | 0.5901 | 0.7682 |
0.3372 | 9.4815 | 512 | 0.6745 | 0.5438 | 0.6745 | 0.8213 |
0.3372 | 9.5185 | 514 | 0.6972 | 0.5544 | 0.6972 | 0.8350 |
0.3372 | 9.5556 | 516 | 0.6064 | 0.5503 | 0.6064 | 0.7787 |
0.3372 | 9.5926 | 518 | 0.5385 | 0.5762 | 0.5385 | 0.7339 |
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/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k10_task2_organization
Base model
aubmindlab/bert-base-arabertv02