ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k6_task5_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: 0.5961
- Qwk: 0.6719
- Mse: 0.5961
- Rmse: 0.7721
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 | 0.1176 | 2 | 4.0158 | 0.0069 | 4.0158 | 2.0039 |
No log | 0.2353 | 4 | 2.1220 | 0.0631 | 2.1220 | 1.4567 |
No log | 0.3529 | 6 | 1.2734 | 0.0878 | 1.2734 | 1.1285 |
No log | 0.4706 | 8 | 1.0964 | 0.3666 | 1.0964 | 1.0471 |
No log | 0.5882 | 10 | 1.0283 | 0.2161 | 1.0283 | 1.0140 |
No log | 0.7059 | 12 | 1.1688 | 0.1101 | 1.1688 | 1.0811 |
No log | 0.8235 | 14 | 1.2591 | -0.0598 | 1.2591 | 1.1221 |
No log | 0.9412 | 16 | 1.3923 | -0.1273 | 1.3923 | 1.1800 |
No log | 1.0588 | 18 | 1.5675 | -0.0411 | 1.5675 | 1.2520 |
No log | 1.1765 | 20 | 1.7316 | 0.0140 | 1.7316 | 1.3159 |
No log | 1.2941 | 22 | 1.4309 | -0.0411 | 1.4309 | 1.1962 |
No log | 1.4118 | 24 | 1.1657 | 0.0249 | 1.1657 | 1.0797 |
No log | 1.5294 | 26 | 1.1034 | 0.1313 | 1.1034 | 1.0504 |
No log | 1.6471 | 28 | 1.0780 | 0.2236 | 1.0780 | 1.0383 |
No log | 1.7647 | 30 | 1.0633 | 0.2081 | 1.0633 | 1.0312 |
No log | 1.8824 | 32 | 1.0326 | 0.2135 | 1.0326 | 1.0162 |
No log | 2.0 | 34 | 1.0321 | 0.3332 | 1.0321 | 1.0159 |
No log | 2.1176 | 36 | 1.0370 | 0.3171 | 1.0370 | 1.0183 |
No log | 2.2353 | 38 | 1.0014 | 0.3026 | 1.0014 | 1.0007 |
No log | 2.3529 | 40 | 0.9978 | 0.2635 | 0.9978 | 0.9989 |
No log | 2.4706 | 42 | 0.9627 | 0.2969 | 0.9627 | 0.9812 |
No log | 2.5882 | 44 | 0.8318 | 0.4709 | 0.8318 | 0.9120 |
No log | 2.7059 | 46 | 0.8235 | 0.4928 | 0.8235 | 0.9075 |
No log | 2.8235 | 48 | 0.9445 | 0.3920 | 0.9445 | 0.9719 |
No log | 2.9412 | 50 | 0.8550 | 0.4555 | 0.8550 | 0.9247 |
No log | 3.0588 | 52 | 0.7663 | 0.4660 | 0.7663 | 0.8754 |
No log | 3.1765 | 54 | 0.7738 | 0.5054 | 0.7738 | 0.8797 |
No log | 3.2941 | 56 | 0.8575 | 0.4638 | 0.8575 | 0.9260 |
No log | 3.4118 | 58 | 0.8239 | 0.4641 | 0.8239 | 0.9077 |
No log | 3.5294 | 60 | 0.6931 | 0.5016 | 0.6931 | 0.8325 |
No log | 3.6471 | 62 | 1.0092 | 0.4565 | 1.0092 | 1.0046 |
No log | 3.7647 | 64 | 1.3717 | 0.1533 | 1.3717 | 1.1712 |
No log | 3.8824 | 66 | 1.0712 | 0.3814 | 1.0712 | 1.0350 |
No log | 4.0 | 68 | 0.7674 | 0.5439 | 0.7674 | 0.8760 |
No log | 4.1176 | 70 | 0.7846 | 0.5971 | 0.7846 | 0.8857 |
No log | 4.2353 | 72 | 1.1365 | 0.3392 | 1.1365 | 1.0661 |
No log | 4.3529 | 74 | 1.0105 | 0.4787 | 1.0105 | 1.0052 |
No log | 4.4706 | 76 | 0.6873 | 0.6174 | 0.6873 | 0.8291 |
No log | 4.5882 | 78 | 0.7406 | 0.5735 | 0.7406 | 0.8606 |
No log | 4.7059 | 80 | 0.7874 | 0.5425 | 0.7874 | 0.8874 |
No log | 4.8235 | 82 | 0.8171 | 0.5745 | 0.8171 | 0.9039 |
No log | 4.9412 | 84 | 0.7422 | 0.5504 | 0.7422 | 0.8615 |
No log | 5.0588 | 86 | 0.6660 | 0.5809 | 0.6660 | 0.8161 |
No log | 5.1765 | 88 | 0.6823 | 0.6089 | 0.6823 | 0.8260 |
No log | 5.2941 | 90 | 0.6537 | 0.6104 | 0.6537 | 0.8085 |
No log | 5.4118 | 92 | 0.6727 | 0.5660 | 0.6727 | 0.8202 |
No log | 5.5294 | 94 | 0.6515 | 0.6196 | 0.6515 | 0.8072 |
No log | 5.6471 | 96 | 0.7914 | 0.5530 | 0.7914 | 0.8896 |
No log | 5.7647 | 98 | 0.9577 | 0.5541 | 0.9577 | 0.9786 |
No log | 5.8824 | 100 | 0.8684 | 0.5833 | 0.8684 | 0.9319 |
No log | 6.0 | 102 | 0.6806 | 0.6302 | 0.6806 | 0.8250 |
No log | 6.1176 | 104 | 0.6658 | 0.6177 | 0.6658 | 0.8159 |
No log | 6.2353 | 106 | 0.6514 | 0.5990 | 0.6514 | 0.8071 |
No log | 6.3529 | 108 | 0.7160 | 0.5770 | 0.7160 | 0.8462 |
No log | 6.4706 | 110 | 1.0505 | 0.3704 | 1.0505 | 1.0249 |
No log | 6.5882 | 112 | 1.0780 | 0.3631 | 1.0780 | 1.0383 |
No log | 6.7059 | 114 | 0.7891 | 0.5895 | 0.7891 | 0.8883 |
No log | 6.8235 | 116 | 0.7365 | 0.4974 | 0.7365 | 0.8582 |
No log | 6.9412 | 118 | 1.0015 | 0.4578 | 1.0015 | 1.0007 |
No log | 7.0588 | 120 | 1.0136 | 0.4960 | 1.0136 | 1.0068 |
No log | 7.1765 | 122 | 0.8290 | 0.5039 | 0.8290 | 0.9105 |
No log | 7.2941 | 124 | 0.6957 | 0.5446 | 0.6957 | 0.8341 |
No log | 7.4118 | 126 | 0.6837 | 0.5582 | 0.6837 | 0.8268 |
No log | 7.5294 | 128 | 0.6923 | 0.5446 | 0.6923 | 0.8321 |
No log | 7.6471 | 130 | 0.7714 | 0.5292 | 0.7714 | 0.8783 |
No log | 7.7647 | 132 | 0.7678 | 0.4948 | 0.7678 | 0.8762 |
No log | 7.8824 | 134 | 0.6783 | 0.6066 | 0.6783 | 0.8236 |
No log | 8.0 | 136 | 0.6732 | 0.6334 | 0.6732 | 0.8205 |
No log | 8.1176 | 138 | 0.6727 | 0.6410 | 0.6727 | 0.8202 |
No log | 8.2353 | 140 | 0.6887 | 0.6418 | 0.6887 | 0.8299 |
No log | 8.3529 | 142 | 0.7125 | 0.6286 | 0.7125 | 0.8441 |
No log | 8.4706 | 144 | 0.6639 | 0.6452 | 0.6639 | 0.8148 |
No log | 8.5882 | 146 | 0.6209 | 0.6508 | 0.6209 | 0.7880 |
No log | 8.7059 | 148 | 0.6293 | 0.6045 | 0.6293 | 0.7933 |
No log | 8.8235 | 150 | 0.7608 | 0.5853 | 0.7608 | 0.8722 |
No log | 8.9412 | 152 | 0.8070 | 0.5378 | 0.8070 | 0.8983 |
No log | 9.0588 | 154 | 0.6937 | 0.5976 | 0.6937 | 0.8329 |
No log | 9.1765 | 156 | 0.5906 | 0.6078 | 0.5906 | 0.7685 |
No log | 9.2941 | 158 | 0.5930 | 0.6455 | 0.5930 | 0.7701 |
No log | 9.4118 | 160 | 0.7434 | 0.6493 | 0.7434 | 0.8622 |
No log | 9.5294 | 162 | 0.6706 | 0.6502 | 0.6706 | 0.8189 |
No log | 9.6471 | 164 | 0.5530 | 0.7308 | 0.5530 | 0.7436 |
No log | 9.7647 | 166 | 0.5905 | 0.6525 | 0.5905 | 0.7684 |
No log | 9.8824 | 168 | 0.5664 | 0.6164 | 0.5664 | 0.7526 |
No log | 10.0 | 170 | 0.6170 | 0.6422 | 0.6170 | 0.7855 |
No log | 10.1176 | 172 | 0.6785 | 0.5559 | 0.6785 | 0.8237 |
No log | 10.2353 | 174 | 0.6733 | 0.5088 | 0.6733 | 0.8206 |
No log | 10.3529 | 176 | 0.6610 | 0.5559 | 0.6610 | 0.8130 |
No log | 10.4706 | 178 | 0.6005 | 0.5921 | 0.6005 | 0.7749 |
No log | 10.5882 | 180 | 0.5577 | 0.6593 | 0.5577 | 0.7468 |
No log | 10.7059 | 182 | 0.5408 | 0.7218 | 0.5408 | 0.7354 |
No log | 10.8235 | 184 | 0.5504 | 0.6948 | 0.5504 | 0.7419 |
No log | 10.9412 | 186 | 0.5602 | 0.6948 | 0.5602 | 0.7485 |
No log | 11.0588 | 188 | 0.5614 | 0.6704 | 0.5614 | 0.7493 |
No log | 11.1765 | 190 | 0.5789 | 0.6460 | 0.5789 | 0.7608 |
No log | 11.2941 | 192 | 0.5956 | 0.6252 | 0.5956 | 0.7718 |
No log | 11.4118 | 194 | 0.6386 | 0.5798 | 0.6386 | 0.7991 |
No log | 11.5294 | 196 | 0.6410 | 0.5798 | 0.6410 | 0.8006 |
No log | 11.6471 | 198 | 0.6445 | 0.5798 | 0.6445 | 0.8028 |
No log | 11.7647 | 200 | 0.6231 | 0.6154 | 0.6231 | 0.7894 |
No log | 11.8824 | 202 | 0.6005 | 0.5988 | 0.6005 | 0.7749 |
No log | 12.0 | 204 | 0.5969 | 0.6205 | 0.5969 | 0.7726 |
No log | 12.1176 | 206 | 0.5773 | 0.6896 | 0.5773 | 0.7598 |
No log | 12.2353 | 208 | 0.6513 | 0.6340 | 0.6513 | 0.8071 |
No log | 12.3529 | 210 | 0.6994 | 0.6301 | 0.6994 | 0.8363 |
No log | 12.4706 | 212 | 0.6117 | 0.6685 | 0.6117 | 0.7821 |
No log | 12.5882 | 214 | 0.5772 | 0.6737 | 0.5772 | 0.7597 |
No log | 12.7059 | 216 | 0.5873 | 0.7025 | 0.5873 | 0.7664 |
No log | 12.8235 | 218 | 0.5745 | 0.7124 | 0.5745 | 0.7579 |
No log | 12.9412 | 220 | 0.6058 | 0.6347 | 0.6058 | 0.7783 |
No log | 13.0588 | 222 | 0.6292 | 0.6128 | 0.6292 | 0.7932 |
No log | 13.1765 | 224 | 0.5940 | 0.6414 | 0.5940 | 0.7707 |
No log | 13.2941 | 226 | 0.5786 | 0.7124 | 0.5786 | 0.7607 |
No log | 13.4118 | 228 | 0.5772 | 0.6854 | 0.5772 | 0.7597 |
No log | 13.5294 | 230 | 0.5876 | 0.6217 | 0.5876 | 0.7665 |
No log | 13.6471 | 232 | 0.6499 | 0.5869 | 0.6499 | 0.8061 |
No log | 13.7647 | 234 | 0.7178 | 0.5521 | 0.7178 | 0.8473 |
No log | 13.8824 | 236 | 0.6717 | 0.4974 | 0.6717 | 0.8196 |
No log | 14.0 | 238 | 0.6093 | 0.5785 | 0.6093 | 0.7806 |
No log | 14.1176 | 240 | 0.6095 | 0.6891 | 0.6095 | 0.7807 |
No log | 14.2353 | 242 | 0.6910 | 0.6397 | 0.6910 | 0.8312 |
No log | 14.3529 | 244 | 0.7115 | 0.6474 | 0.7115 | 0.8435 |
No log | 14.4706 | 246 | 0.6928 | 0.6474 | 0.6928 | 0.8324 |
No log | 14.5882 | 248 | 0.6260 | 0.7131 | 0.6260 | 0.7912 |
No log | 14.7059 | 250 | 0.6156 | 0.6581 | 0.6156 | 0.7846 |
No log | 14.8235 | 252 | 0.6547 | 0.6284 | 0.6547 | 0.8091 |
No log | 14.9412 | 254 | 0.7039 | 0.5595 | 0.7039 | 0.8390 |
No log | 15.0588 | 256 | 0.6812 | 0.5614 | 0.6812 | 0.8253 |
No log | 15.1765 | 258 | 0.6385 | 0.6177 | 0.6385 | 0.7990 |
No log | 15.2941 | 260 | 0.5883 | 0.6389 | 0.5883 | 0.7670 |
No log | 15.4118 | 262 | 0.5786 | 0.6499 | 0.5786 | 0.7606 |
No log | 15.5294 | 264 | 0.5719 | 0.6764 | 0.5719 | 0.7562 |
No log | 15.6471 | 266 | 0.5751 | 0.6572 | 0.5751 | 0.7583 |
No log | 15.7647 | 268 | 0.5941 | 0.6314 | 0.5941 | 0.7708 |
No log | 15.8824 | 270 | 0.6144 | 0.6228 | 0.6144 | 0.7839 |
No log | 16.0 | 272 | 0.6634 | 0.6118 | 0.6634 | 0.8145 |
No log | 16.1176 | 274 | 0.6629 | 0.6118 | 0.6629 | 0.8142 |
No log | 16.2353 | 276 | 0.6585 | 0.5678 | 0.6585 | 0.8115 |
No log | 16.3529 | 278 | 0.6479 | 0.5602 | 0.6479 | 0.8049 |
No log | 16.4706 | 280 | 0.6585 | 0.5597 | 0.6585 | 0.8115 |
No log | 16.5882 | 282 | 0.6852 | 0.5585 | 0.6852 | 0.8278 |
No log | 16.7059 | 284 | 0.7501 | 0.5062 | 0.7501 | 0.8661 |
No log | 16.8235 | 286 | 0.7752 | 0.5358 | 0.7752 | 0.8804 |
No log | 16.9412 | 288 | 0.7398 | 0.5686 | 0.7398 | 0.8601 |
No log | 17.0588 | 290 | 0.6624 | 0.6240 | 0.6624 | 0.8139 |
No log | 17.1765 | 292 | 0.5985 | 0.6063 | 0.5985 | 0.7736 |
No log | 17.2941 | 294 | 0.5698 | 0.6133 | 0.5698 | 0.7549 |
No log | 17.4118 | 296 | 0.5769 | 0.5822 | 0.5769 | 0.7595 |
No log | 17.5294 | 298 | 0.6042 | 0.5937 | 0.6042 | 0.7773 |
No log | 17.6471 | 300 | 0.6323 | 0.5495 | 0.6323 | 0.7952 |
No log | 17.7647 | 302 | 0.6383 | 0.5363 | 0.6383 | 0.7989 |
No log | 17.8824 | 304 | 0.6399 | 0.5348 | 0.6399 | 0.8000 |
No log | 18.0 | 306 | 0.6520 | 0.6112 | 0.6520 | 0.8075 |
No log | 18.1176 | 308 | 0.6791 | 0.5964 | 0.6791 | 0.8241 |
No log | 18.2353 | 310 | 0.6825 | 0.5948 | 0.6825 | 0.8261 |
No log | 18.3529 | 312 | 0.6594 | 0.5996 | 0.6594 | 0.8120 |
No log | 18.4706 | 314 | 0.6595 | 0.5785 | 0.6595 | 0.8121 |
No log | 18.5882 | 316 | 0.6700 | 0.5786 | 0.6700 | 0.8186 |
No log | 18.7059 | 318 | 0.7000 | 0.5751 | 0.7000 | 0.8367 |
No log | 18.8235 | 320 | 0.7257 | 0.5739 | 0.7257 | 0.8519 |
No log | 18.9412 | 322 | 0.7048 | 0.5860 | 0.7048 | 0.8395 |
No log | 19.0588 | 324 | 0.6405 | 0.6305 | 0.6405 | 0.8003 |
No log | 19.1765 | 326 | 0.6139 | 0.5913 | 0.6139 | 0.7835 |
No log | 19.2941 | 328 | 0.6210 | 0.6374 | 0.6210 | 0.7880 |
No log | 19.4118 | 330 | 0.6247 | 0.6535 | 0.6247 | 0.7904 |
No log | 19.5294 | 332 | 0.6160 | 0.6507 | 0.6160 | 0.7849 |
No log | 19.6471 | 334 | 0.6377 | 0.6122 | 0.6377 | 0.7986 |
No log | 19.7647 | 336 | 0.6659 | 0.5552 | 0.6659 | 0.8160 |
No log | 19.8824 | 338 | 0.6649 | 0.5572 | 0.6649 | 0.8154 |
No log | 20.0 | 340 | 0.6508 | 0.5232 | 0.6508 | 0.8067 |
No log | 20.1176 | 342 | 0.6470 | 0.5373 | 0.6470 | 0.8043 |
No log | 20.2353 | 344 | 0.6732 | 0.5552 | 0.6732 | 0.8205 |
No log | 20.3529 | 346 | 0.6884 | 0.5552 | 0.6884 | 0.8297 |
No log | 20.4706 | 348 | 0.6974 | 0.5208 | 0.6974 | 0.8351 |
No log | 20.5882 | 350 | 0.6642 | 0.5510 | 0.6642 | 0.8150 |
No log | 20.7059 | 352 | 0.6571 | 0.5725 | 0.6571 | 0.8106 |
No log | 20.8235 | 354 | 0.6576 | 0.6078 | 0.6576 | 0.8109 |
No log | 20.9412 | 356 | 0.6910 | 0.5697 | 0.6910 | 0.8313 |
No log | 21.0588 | 358 | 0.6933 | 0.5697 | 0.6933 | 0.8326 |
No log | 21.1765 | 360 | 0.6527 | 0.5971 | 0.6527 | 0.8079 |
No log | 21.2941 | 362 | 0.6459 | 0.5510 | 0.6459 | 0.8037 |
No log | 21.4118 | 364 | 0.6797 | 0.5558 | 0.6797 | 0.8245 |
No log | 21.5294 | 366 | 0.6745 | 0.5558 | 0.6745 | 0.8213 |
No log | 21.6471 | 368 | 0.6493 | 0.5797 | 0.6493 | 0.8058 |
No log | 21.7647 | 370 | 0.6368 | 0.6164 | 0.6368 | 0.7980 |
No log | 21.8824 | 372 | 0.6423 | 0.6452 | 0.6423 | 0.8014 |
No log | 22.0 | 374 | 0.6449 | 0.6246 | 0.6449 | 0.8030 |
No log | 22.1176 | 376 | 0.6357 | 0.6282 | 0.6357 | 0.7973 |
No log | 22.2353 | 378 | 0.6457 | 0.5125 | 0.6457 | 0.8036 |
No log | 22.3529 | 380 | 0.6580 | 0.5546 | 0.6580 | 0.8111 |
No log | 22.4706 | 382 | 0.6706 | 0.5331 | 0.6706 | 0.8189 |
No log | 22.5882 | 384 | 0.6673 | 0.5112 | 0.6673 | 0.8169 |
No log | 22.7059 | 386 | 0.6573 | 0.5602 | 0.6573 | 0.8107 |
No log | 22.8235 | 388 | 0.6390 | 0.5955 | 0.6390 | 0.7994 |
No log | 22.9412 | 390 | 0.6205 | 0.6239 | 0.6205 | 0.7877 |
No log | 23.0588 | 392 | 0.6143 | 0.6207 | 0.6143 | 0.7838 |
No log | 23.1765 | 394 | 0.6070 | 0.6433 | 0.6070 | 0.7791 |
No log | 23.2941 | 396 | 0.6083 | 0.6282 | 0.6083 | 0.7799 |
No log | 23.4118 | 398 | 0.6249 | 0.5747 | 0.6249 | 0.7905 |
No log | 23.5294 | 400 | 0.6327 | 0.5555 | 0.6327 | 0.7954 |
No log | 23.6471 | 402 | 0.6222 | 0.5656 | 0.6222 | 0.7888 |
No log | 23.7647 | 404 | 0.6026 | 0.6282 | 0.6026 | 0.7763 |
No log | 23.8824 | 406 | 0.5944 | 0.6872 | 0.5944 | 0.7709 |
No log | 24.0 | 408 | 0.6226 | 0.6872 | 0.6226 | 0.7890 |
No log | 24.1176 | 410 | 0.6122 | 0.6838 | 0.6122 | 0.7824 |
No log | 24.2353 | 412 | 0.5837 | 0.6909 | 0.5837 | 0.7640 |
No log | 24.3529 | 414 | 0.5855 | 0.6770 | 0.5855 | 0.7652 |
No log | 24.4706 | 416 | 0.5925 | 0.6452 | 0.5925 | 0.7698 |
No log | 24.5882 | 418 | 0.5902 | 0.6246 | 0.5902 | 0.7682 |
No log | 24.7059 | 420 | 0.5812 | 0.6770 | 0.5812 | 0.7624 |
No log | 24.8235 | 422 | 0.5979 | 0.6872 | 0.5979 | 0.7732 |
No log | 24.9412 | 424 | 0.6487 | 0.6109 | 0.6487 | 0.8054 |
No log | 25.0588 | 426 | 0.6627 | 0.5912 | 0.6627 | 0.8141 |
No log | 25.1765 | 428 | 0.6213 | 0.6575 | 0.6213 | 0.7882 |
No log | 25.2941 | 430 | 0.5723 | 0.6724 | 0.5723 | 0.7565 |
No log | 25.4118 | 432 | 0.5803 | 0.6312 | 0.5803 | 0.7618 |
No log | 25.5294 | 434 | 0.6184 | 0.5805 | 0.6184 | 0.7864 |
No log | 25.6471 | 436 | 0.6237 | 0.5805 | 0.6237 | 0.7897 |
No log | 25.7647 | 438 | 0.5810 | 0.6052 | 0.5810 | 0.7623 |
No log | 25.8824 | 440 | 0.5661 | 0.6616 | 0.5661 | 0.7524 |
No log | 26.0 | 442 | 0.5935 | 0.6446 | 0.5935 | 0.7704 |
No log | 26.1176 | 444 | 0.6011 | 0.6446 | 0.6011 | 0.7753 |
No log | 26.2353 | 446 | 0.6304 | 0.6748 | 0.6304 | 0.7940 |
No log | 26.3529 | 448 | 0.6561 | 0.6109 | 0.6561 | 0.8100 |
No log | 26.4706 | 450 | 0.6407 | 0.5948 | 0.6407 | 0.8004 |
No log | 26.5882 | 452 | 0.6054 | 0.6588 | 0.6054 | 0.7781 |
No log | 26.7059 | 454 | 0.5867 | 0.6597 | 0.5867 | 0.7660 |
No log | 26.8235 | 456 | 0.5845 | 0.6164 | 0.5845 | 0.7645 |
No log | 26.9412 | 458 | 0.5849 | 0.6606 | 0.5849 | 0.7648 |
No log | 27.0588 | 460 | 0.6099 | 0.6539 | 0.6099 | 0.7809 |
No log | 27.1765 | 462 | 0.6290 | 0.6352 | 0.6290 | 0.7931 |
No log | 27.2941 | 464 | 0.6713 | 0.6343 | 0.6713 | 0.8193 |
No log | 27.4118 | 466 | 0.6725 | 0.6343 | 0.6725 | 0.8201 |
No log | 27.5294 | 468 | 0.6629 | 0.6343 | 0.6629 | 0.8142 |
No log | 27.6471 | 470 | 0.6273 | 0.6340 | 0.6273 | 0.7920 |
No log | 27.7647 | 472 | 0.6102 | 0.6499 | 0.6102 | 0.7811 |
No log | 27.8824 | 474 | 0.6090 | 0.6620 | 0.6090 | 0.7804 |
No log | 28.0 | 476 | 0.5951 | 0.6620 | 0.5951 | 0.7714 |
No log | 28.1176 | 478 | 0.5912 | 0.6620 | 0.5912 | 0.7689 |
No log | 28.2353 | 480 | 0.5916 | 0.6620 | 0.5916 | 0.7692 |
No log | 28.3529 | 482 | 0.6028 | 0.6688 | 0.6028 | 0.7764 |
No log | 28.4706 | 484 | 0.5955 | 0.6688 | 0.5955 | 0.7717 |
No log | 28.5882 | 486 | 0.5651 | 0.6681 | 0.5651 | 0.7517 |
No log | 28.7059 | 488 | 0.5620 | 0.6708 | 0.5620 | 0.7497 |
No log | 28.8235 | 490 | 0.5702 | 0.6862 | 0.5702 | 0.7551 |
No log | 28.9412 | 492 | 0.5541 | 0.6753 | 0.5541 | 0.7444 |
No log | 29.0588 | 494 | 0.5391 | 0.6364 | 0.5391 | 0.7343 |
No log | 29.1765 | 496 | 0.5341 | 0.6681 | 0.5341 | 0.7308 |
No log | 29.2941 | 498 | 0.5353 | 0.6681 | 0.5353 | 0.7317 |
0.2593 | 29.4118 | 500 | 0.5431 | 0.6788 | 0.5431 | 0.7369 |
0.2593 | 29.5294 | 502 | 0.5592 | 0.7102 | 0.5592 | 0.7478 |
0.2593 | 29.6471 | 504 | 0.5864 | 0.6688 | 0.5864 | 0.7657 |
0.2593 | 29.7647 | 506 | 0.6024 | 0.6569 | 0.6024 | 0.7761 |
0.2593 | 29.8824 | 508 | 0.6045 | 0.6188 | 0.6045 | 0.7775 |
0.2593 | 30.0 | 510 | 0.6089 | 0.6352 | 0.6089 | 0.7803 |
0.2593 | 30.1176 | 512 | 0.5961 | 0.6719 | 0.5961 | 0.7721 |
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_FineTuningAraBERT_run1_AugV5_k6_task5_organization
Base model
aubmindlab/bert-base-arabertv02