ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k2_task1_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: 1.0372
- Qwk: 0.5714
- Mse: 1.0372
- Rmse: 1.0184
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 | 6.8578 | 0.0308 | 6.8578 | 2.6187 |
No log | 0.4444 | 4 | 4.6217 | 0.0455 | 4.6217 | 2.1498 |
No log | 0.6667 | 6 | 3.2807 | 0.0546 | 3.2807 | 1.8113 |
No log | 0.8889 | 8 | 3.5359 | -0.0108 | 3.5359 | 1.8804 |
No log | 1.1111 | 10 | 2.7983 | -0.0444 | 2.7983 | 1.6728 |
No log | 1.3333 | 12 | 2.0670 | 0.1176 | 2.0670 | 1.4377 |
No log | 1.5556 | 14 | 1.7257 | 0.2037 | 1.7257 | 1.3136 |
No log | 1.7778 | 16 | 1.7476 | 0.25 | 1.7476 | 1.3220 |
No log | 2.0 | 18 | 1.9238 | 0.2992 | 1.9238 | 1.3870 |
No log | 2.2222 | 20 | 1.8263 | 0.3692 | 1.8263 | 1.3514 |
No log | 2.4444 | 22 | 1.5323 | 0.4127 | 1.5323 | 1.2379 |
No log | 2.6667 | 24 | 1.3259 | 0.2364 | 1.3259 | 1.1515 |
No log | 2.8889 | 26 | 1.6415 | 0.2182 | 1.6415 | 1.2812 |
No log | 3.1111 | 28 | 1.4552 | 0.2982 | 1.4552 | 1.2063 |
No log | 3.3333 | 30 | 1.0870 | 0.5271 | 1.0870 | 1.0426 |
No log | 3.5556 | 32 | 1.2188 | 0.5493 | 1.2188 | 1.1040 |
No log | 3.7778 | 34 | 1.1263 | 0.5775 | 1.1263 | 1.0613 |
No log | 4.0 | 36 | 1.0219 | 0.6074 | 1.0219 | 1.0109 |
No log | 4.2222 | 38 | 0.9976 | 0.6519 | 0.9976 | 0.9988 |
No log | 4.4444 | 40 | 1.1445 | 0.5548 | 1.1445 | 1.0698 |
No log | 4.6667 | 42 | 1.1721 | 0.5963 | 1.1721 | 1.0827 |
No log | 4.8889 | 44 | 0.9559 | 0.6479 | 0.9559 | 0.9777 |
No log | 5.1111 | 46 | 1.1124 | 0.5985 | 1.1124 | 1.0547 |
No log | 5.3333 | 48 | 1.0382 | 0.6119 | 1.0382 | 1.0189 |
No log | 5.5556 | 50 | 0.8116 | 0.7 | 0.8116 | 0.9009 |
No log | 5.7778 | 52 | 0.8416 | 0.7183 | 0.8416 | 0.9174 |
No log | 6.0 | 54 | 0.8945 | 0.6815 | 0.8945 | 0.9458 |
No log | 6.2222 | 56 | 0.9174 | 0.6423 | 0.9174 | 0.9578 |
No log | 6.4444 | 58 | 1.0776 | 0.5263 | 1.0776 | 1.0381 |
No log | 6.6667 | 60 | 1.1476 | 0.5224 | 1.1476 | 1.0712 |
No log | 6.8889 | 62 | 0.9633 | 0.6377 | 0.9633 | 0.9815 |
No log | 7.1111 | 64 | 0.9754 | 0.6761 | 0.9754 | 0.9876 |
No log | 7.3333 | 66 | 1.0304 | 0.6241 | 1.0304 | 1.0151 |
No log | 7.5556 | 68 | 0.9863 | 0.6519 | 0.9863 | 0.9931 |
No log | 7.7778 | 70 | 1.0885 | 0.5736 | 1.0885 | 1.0433 |
No log | 8.0 | 72 | 1.4353 | 0.4252 | 1.4353 | 1.1980 |
No log | 8.2222 | 74 | 1.3511 | 0.4567 | 1.3511 | 1.1624 |
No log | 8.4444 | 76 | 1.0689 | 0.5161 | 1.0689 | 1.0339 |
No log | 8.6667 | 78 | 1.0222 | 0.576 | 1.0222 | 1.0110 |
No log | 8.8889 | 80 | 0.9871 | 0.6047 | 0.9871 | 0.9936 |
No log | 9.1111 | 82 | 1.0996 | 0.5954 | 1.0996 | 1.0486 |
No log | 9.3333 | 84 | 1.2094 | 0.5802 | 1.2094 | 1.0997 |
No log | 9.5556 | 86 | 1.3074 | 0.5 | 1.3074 | 1.1434 |
No log | 9.7778 | 88 | 1.3668 | 0.4733 | 1.3668 | 1.1691 |
No log | 10.0 | 90 | 1.0939 | 0.6154 | 1.0939 | 1.0459 |
No log | 10.2222 | 92 | 0.9013 | 0.7299 | 0.9013 | 0.9494 |
No log | 10.4444 | 94 | 0.8712 | 0.7391 | 0.8712 | 0.9334 |
No log | 10.6667 | 96 | 1.0158 | 0.5735 | 1.0158 | 1.0079 |
No log | 10.8889 | 98 | 1.1644 | 0.4928 | 1.1644 | 1.0791 |
No log | 11.1111 | 100 | 1.2251 | 0.5106 | 1.2251 | 1.1069 |
No log | 11.3333 | 102 | 1.0808 | 0.5594 | 1.0808 | 1.0396 |
No log | 11.5556 | 104 | 0.8490 | 0.6806 | 0.8490 | 0.9214 |
No log | 11.7778 | 106 | 0.8732 | 0.6806 | 0.8732 | 0.9345 |
No log | 12.0 | 108 | 0.9510 | 0.6619 | 0.9510 | 0.9752 |
No log | 12.2222 | 110 | 1.2357 | 0.4853 | 1.2357 | 1.1116 |
No log | 12.4444 | 112 | 1.2942 | 0.4511 | 1.2942 | 1.1376 |
No log | 12.6667 | 114 | 1.0644 | 0.6119 | 1.0644 | 1.0317 |
No log | 12.8889 | 116 | 0.9928 | 0.6370 | 0.9928 | 0.9964 |
No log | 13.1111 | 118 | 0.9832 | 0.6119 | 0.9832 | 0.9916 |
No log | 13.3333 | 120 | 1.0916 | 0.5926 | 1.0916 | 1.0448 |
No log | 13.5556 | 122 | 1.1692 | 0.5612 | 1.1692 | 1.0813 |
No log | 13.7778 | 124 | 1.0298 | 0.6043 | 1.0298 | 1.0148 |
No log | 14.0 | 126 | 0.9028 | 0.6569 | 0.9028 | 0.9501 |
No log | 14.2222 | 128 | 0.9548 | 0.6061 | 0.9548 | 0.9771 |
No log | 14.4444 | 130 | 1.1279 | 0.5426 | 1.1279 | 1.0620 |
No log | 14.6667 | 132 | 1.1766 | 0.5191 | 1.1766 | 1.0847 |
No log | 14.8889 | 134 | 1.3029 | 0.4848 | 1.3029 | 1.1414 |
No log | 15.1111 | 136 | 1.2368 | 0.5113 | 1.2368 | 1.1121 |
No log | 15.3333 | 138 | 1.0217 | 0.5312 | 1.0217 | 1.0108 |
No log | 15.5556 | 140 | 0.9483 | 0.5909 | 0.9483 | 0.9738 |
No log | 15.7778 | 142 | 0.9784 | 0.5426 | 0.9784 | 0.9891 |
No log | 16.0 | 144 | 1.0258 | 0.5312 | 1.0258 | 1.0128 |
No log | 16.2222 | 146 | 1.2456 | 0.4925 | 1.2456 | 1.1161 |
No log | 16.4444 | 148 | 1.3073 | 0.4776 | 1.3073 | 1.1434 |
No log | 16.6667 | 150 | 1.2174 | 0.5 | 1.2174 | 1.1034 |
No log | 16.8889 | 152 | 1.0491 | 0.5354 | 1.0491 | 1.0242 |
No log | 17.1111 | 154 | 0.9968 | 0.544 | 0.9968 | 0.9984 |
No log | 17.3333 | 156 | 1.0457 | 0.5354 | 1.0457 | 1.0226 |
No log | 17.5556 | 158 | 1.1955 | 0.5426 | 1.1955 | 1.0934 |
No log | 17.7778 | 160 | 1.1900 | 0.5426 | 1.1900 | 1.0909 |
No log | 18.0 | 162 | 1.1020 | 0.5426 | 1.1020 | 1.0498 |
No log | 18.2222 | 164 | 0.9908 | 0.5469 | 0.9908 | 0.9954 |
No log | 18.4444 | 166 | 0.8777 | 0.6222 | 0.8777 | 0.9368 |
No log | 18.6667 | 168 | 0.7850 | 0.7 | 0.7850 | 0.8860 |
No log | 18.8889 | 170 | 0.8044 | 0.7246 | 0.8044 | 0.8969 |
No log | 19.1111 | 172 | 0.8168 | 0.6667 | 0.8168 | 0.9038 |
No log | 19.3333 | 174 | 0.8802 | 0.5581 | 0.8802 | 0.9382 |
No log | 19.5556 | 176 | 0.9137 | 0.5625 | 0.9137 | 0.9559 |
No log | 19.7778 | 178 | 0.8881 | 0.6202 | 0.8881 | 0.9424 |
No log | 20.0 | 180 | 0.8947 | 0.6615 | 0.8947 | 0.9459 |
No log | 20.2222 | 182 | 0.9134 | 0.6567 | 0.9134 | 0.9557 |
No log | 20.4444 | 184 | 0.8783 | 0.625 | 0.8783 | 0.9372 |
No log | 20.6667 | 186 | 0.9476 | 0.5649 | 0.9476 | 0.9735 |
No log | 20.8889 | 188 | 1.0936 | 0.5455 | 1.0936 | 1.0457 |
No log | 21.1111 | 190 | 1.0584 | 0.5802 | 1.0584 | 1.0288 |
No log | 21.3333 | 192 | 0.9328 | 0.5954 | 0.9328 | 0.9658 |
No log | 21.5556 | 194 | 0.9221 | 0.6154 | 0.9221 | 0.9603 |
No log | 21.7778 | 196 | 0.9273 | 0.5954 | 0.9273 | 0.9630 |
No log | 22.0 | 198 | 1.0601 | 0.5778 | 1.0601 | 1.0296 |
No log | 22.2222 | 200 | 1.1689 | 0.4925 | 1.1689 | 1.0811 |
No log | 22.4444 | 202 | 1.1396 | 0.5185 | 1.1396 | 1.0675 |
No log | 22.6667 | 204 | 0.9748 | 0.6176 | 0.9748 | 0.9873 |
No log | 22.8889 | 206 | 0.9039 | 0.6316 | 0.9039 | 0.9507 |
No log | 23.1111 | 208 | 0.9200 | 0.6316 | 0.9200 | 0.9592 |
No log | 23.3333 | 210 | 1.0144 | 0.5606 | 1.0144 | 1.0072 |
No log | 23.5556 | 212 | 1.0499 | 0.5538 | 1.0499 | 1.0247 |
No log | 23.7778 | 214 | 0.9493 | 0.5954 | 0.9493 | 0.9743 |
No log | 24.0 | 216 | 0.8873 | 0.5954 | 0.8873 | 0.9419 |
No log | 24.2222 | 218 | 0.8757 | 0.6 | 0.8757 | 0.9358 |
No log | 24.4444 | 220 | 0.9017 | 0.6316 | 0.9017 | 0.9496 |
No log | 24.6667 | 222 | 0.9555 | 0.5954 | 0.9555 | 0.9775 |
No log | 24.8889 | 224 | 1.0284 | 0.5909 | 1.0284 | 1.0141 |
No log | 25.1111 | 226 | 0.9799 | 0.5954 | 0.9799 | 0.9899 |
No log | 25.3333 | 228 | 0.8939 | 0.6047 | 0.8939 | 0.9455 |
No log | 25.5556 | 230 | 0.8485 | 0.6119 | 0.8485 | 0.9211 |
No log | 25.7778 | 232 | 0.8125 | 0.6667 | 0.8125 | 0.9014 |
No log | 26.0 | 234 | 0.8890 | 0.6316 | 0.8890 | 0.9429 |
No log | 26.2222 | 236 | 0.9098 | 0.6370 | 0.9098 | 0.9539 |
No log | 26.4444 | 238 | 0.8438 | 0.6667 | 0.8438 | 0.9186 |
No log | 26.6667 | 240 | 0.8046 | 0.6667 | 0.8046 | 0.8970 |
No log | 26.8889 | 242 | 0.8473 | 0.6818 | 0.8473 | 0.9205 |
No log | 27.1111 | 244 | 0.9046 | 0.6094 | 0.9046 | 0.9511 |
No log | 27.3333 | 246 | 0.9694 | 0.6094 | 0.9694 | 0.9846 |
No log | 27.5556 | 248 | 1.0056 | 0.5873 | 1.0056 | 1.0028 |
No log | 27.7778 | 250 | 1.0334 | 0.5873 | 1.0334 | 1.0165 |
No log | 28.0 | 252 | 1.0315 | 0.5873 | 1.0315 | 1.0156 |
No log | 28.2222 | 254 | 0.9804 | 0.6202 | 0.9804 | 0.9902 |
No log | 28.4444 | 256 | 0.9546 | 0.6202 | 0.9546 | 0.9770 |
No log | 28.6667 | 258 | 1.0404 | 0.5865 | 1.0404 | 1.0200 |
No log | 28.8889 | 260 | 1.1532 | 0.5373 | 1.1532 | 1.0739 |
No log | 29.1111 | 262 | 1.1176 | 0.5564 | 1.1176 | 1.0572 |
No log | 29.3333 | 264 | 1.0926 | 0.5821 | 1.0926 | 1.0453 |
No log | 29.5556 | 266 | 1.1013 | 0.5606 | 1.1013 | 1.0494 |
No log | 29.7778 | 268 | 1.1030 | 0.5496 | 1.1030 | 1.0502 |
No log | 30.0 | 270 | 1.0210 | 0.6142 | 1.0210 | 1.0104 |
No log | 30.2222 | 272 | 0.9717 | 0.6094 | 0.9717 | 0.9858 |
No log | 30.4444 | 274 | 0.9738 | 0.6094 | 0.9738 | 0.9868 |
No log | 30.6667 | 276 | 0.9616 | 0.6260 | 0.9616 | 0.9806 |
No log | 30.8889 | 278 | 0.9633 | 0.6963 | 0.9633 | 0.9815 |
No log | 31.1111 | 280 | 0.9606 | 0.6716 | 0.9606 | 0.9801 |
No log | 31.3333 | 282 | 0.9379 | 0.6716 | 0.9379 | 0.9685 |
No log | 31.5556 | 284 | 0.9334 | 0.6716 | 0.9334 | 0.9661 |
No log | 31.7778 | 286 | 0.9352 | 0.6190 | 0.9352 | 0.9670 |
No log | 32.0 | 288 | 0.9707 | 0.5827 | 0.9707 | 0.9853 |
No log | 32.2222 | 290 | 1.0338 | 0.5669 | 1.0338 | 1.0168 |
No log | 32.4444 | 292 | 1.0297 | 0.5938 | 1.0297 | 1.0147 |
No log | 32.6667 | 294 | 0.9832 | 0.544 | 0.9832 | 0.9915 |
No log | 32.8889 | 296 | 0.9643 | 0.5323 | 0.9643 | 0.9820 |
No log | 33.1111 | 298 | 0.9312 | 0.5891 | 0.9312 | 0.9650 |
No log | 33.3333 | 300 | 0.9164 | 0.6154 | 0.9164 | 0.9573 |
No log | 33.5556 | 302 | 0.9306 | 0.592 | 0.9306 | 0.9647 |
No log | 33.7778 | 304 | 0.9819 | 0.5873 | 0.9819 | 0.9909 |
No log | 34.0 | 306 | 1.0094 | 0.5873 | 1.0094 | 1.0047 |
No log | 34.2222 | 308 | 0.9971 | 0.5760 | 0.9971 | 0.9986 |
No log | 34.4444 | 310 | 1.0044 | 0.5484 | 1.0044 | 1.0022 |
No log | 34.6667 | 312 | 1.0053 | 0.5760 | 1.0053 | 1.0026 |
No log | 34.8889 | 314 | 0.9868 | 0.5873 | 0.9868 | 0.9934 |
No log | 35.1111 | 316 | 0.9805 | 0.5873 | 0.9805 | 0.9902 |
No log | 35.3333 | 318 | 0.9673 | 0.5873 | 0.9673 | 0.9835 |
No log | 35.5556 | 320 | 0.9584 | 0.5873 | 0.9584 | 0.9790 |
No log | 35.7778 | 322 | 0.9660 | 0.5760 | 0.9660 | 0.9829 |
No log | 36.0 | 324 | 0.9680 | 0.5873 | 0.9680 | 0.9839 |
No log | 36.2222 | 326 | 0.9527 | 0.5873 | 0.9527 | 0.9760 |
No log | 36.4444 | 328 | 0.9191 | 0.5827 | 0.9191 | 0.9587 |
No log | 36.6667 | 330 | 0.9086 | 0.6094 | 0.9086 | 0.9532 |
No log | 36.8889 | 332 | 0.8846 | 0.6094 | 0.8846 | 0.9405 |
No log | 37.1111 | 334 | 0.8593 | 0.6567 | 0.8593 | 0.9270 |
No log | 37.3333 | 336 | 0.8706 | 0.6212 | 0.8706 | 0.9330 |
No log | 37.5556 | 338 | 0.9002 | 0.6107 | 0.9002 | 0.9488 |
No log | 37.7778 | 340 | 0.9242 | 0.5873 | 0.9242 | 0.9614 |
No log | 38.0 | 342 | 0.9843 | 0.6142 | 0.9843 | 0.9921 |
No log | 38.2222 | 344 | 1.0059 | 0.6142 | 1.0059 | 1.0029 |
No log | 38.4444 | 346 | 0.9725 | 0.6142 | 0.9725 | 0.9862 |
No log | 38.6667 | 348 | 0.9276 | 0.5984 | 0.9276 | 0.9631 |
No log | 38.8889 | 350 | 0.9264 | 0.5984 | 0.9264 | 0.9625 |
No log | 39.1111 | 352 | 0.9287 | 0.5984 | 0.9287 | 0.9637 |
No log | 39.3333 | 354 | 0.9142 | 0.6154 | 0.9142 | 0.9561 |
No log | 39.5556 | 356 | 0.9123 | 0.6190 | 0.9123 | 0.9551 |
No log | 39.7778 | 358 | 0.9326 | 0.6202 | 0.9326 | 0.9657 |
No log | 40.0 | 360 | 0.9645 | 0.6154 | 0.9645 | 0.9821 |
No log | 40.2222 | 362 | 0.9648 | 0.6154 | 0.9648 | 0.9822 |
No log | 40.4444 | 364 | 0.9482 | 0.6202 | 0.9482 | 0.9738 |
No log | 40.6667 | 366 | 0.9453 | 0.6202 | 0.9453 | 0.9723 |
No log | 40.8889 | 368 | 0.9336 | 0.6202 | 0.9336 | 0.9662 |
No log | 41.1111 | 370 | 0.9372 | 0.6406 | 0.9372 | 0.9681 |
No log | 41.3333 | 372 | 0.9740 | 0.6202 | 0.9740 | 0.9869 |
No log | 41.5556 | 374 | 1.0083 | 0.5827 | 1.0083 | 1.0041 |
No log | 41.7778 | 376 | 1.0308 | 0.5827 | 1.0308 | 1.0153 |
No log | 42.0 | 378 | 1.0337 | 0.5827 | 1.0337 | 1.0167 |
No log | 42.2222 | 380 | 1.0117 | 0.5827 | 1.0117 | 1.0058 |
No log | 42.4444 | 382 | 0.9971 | 0.5873 | 0.9971 | 0.9985 |
No log | 42.6667 | 384 | 1.0066 | 0.544 | 1.0066 | 1.0033 |
No log | 42.8889 | 386 | 1.0057 | 0.5802 | 1.0057 | 1.0028 |
No log | 43.1111 | 388 | 0.9981 | 0.5758 | 0.9981 | 0.9990 |
No log | 43.3333 | 390 | 0.9821 | 0.5891 | 0.9821 | 0.9910 |
No log | 43.5556 | 392 | 0.9874 | 0.6260 | 0.9874 | 0.9937 |
No log | 43.7778 | 394 | 1.0097 | 0.6142 | 1.0097 | 1.0048 |
No log | 44.0 | 396 | 1.0231 | 0.5938 | 1.0231 | 1.0115 |
No log | 44.2222 | 398 | 1.0417 | 0.5938 | 1.0417 | 1.0206 |
No log | 44.4444 | 400 | 1.0072 | 0.6154 | 1.0072 | 1.0036 |
No log | 44.6667 | 402 | 0.9862 | 0.6094 | 0.9862 | 0.9931 |
No log | 44.8889 | 404 | 0.9685 | 0.6094 | 0.9685 | 0.9841 |
No log | 45.1111 | 406 | 0.9565 | 0.6094 | 0.9566 | 0.9780 |
No log | 45.3333 | 408 | 0.9448 | 0.6094 | 0.9448 | 0.9720 |
No log | 45.5556 | 410 | 0.9401 | 0.6364 | 0.9401 | 0.9696 |
No log | 45.7778 | 412 | 0.9430 | 0.6308 | 0.9430 | 0.9711 |
No log | 46.0 | 414 | 0.9659 | 0.6154 | 0.9659 | 0.9828 |
No log | 46.2222 | 416 | 1.0272 | 0.6165 | 1.0272 | 1.0135 |
No log | 46.4444 | 418 | 1.0475 | 0.5865 | 1.0475 | 1.0235 |
No log | 46.6667 | 420 | 0.9952 | 0.6212 | 0.9952 | 0.9976 |
No log | 46.8889 | 422 | 0.9054 | 0.6154 | 0.9054 | 0.9515 |
No log | 47.1111 | 424 | 0.8488 | 0.6316 | 0.8488 | 0.9213 |
No log | 47.3333 | 426 | 0.8370 | 0.6466 | 0.8370 | 0.9149 |
No log | 47.5556 | 428 | 0.8243 | 0.6815 | 0.8243 | 0.9079 |
No log | 47.7778 | 430 | 0.8262 | 0.6815 | 0.8262 | 0.9090 |
No log | 48.0 | 432 | 0.8450 | 0.6512 | 0.8450 | 0.9192 |
No log | 48.2222 | 434 | 0.8670 | 0.6406 | 0.8670 | 0.9311 |
No log | 48.4444 | 436 | 0.8801 | 0.6032 | 0.8801 | 0.9381 |
No log | 48.6667 | 438 | 0.8908 | 0.5938 | 0.8908 | 0.9438 |
No log | 48.8889 | 440 | 0.8981 | 0.5873 | 0.8981 | 0.9477 |
No log | 49.1111 | 442 | 0.9232 | 0.6406 | 0.9232 | 0.9609 |
No log | 49.3333 | 444 | 0.9472 | 0.6406 | 0.9472 | 0.9732 |
No log | 49.5556 | 446 | 0.9463 | 0.6406 | 0.9463 | 0.9728 |
No log | 49.7778 | 448 | 0.9080 | 0.6094 | 0.9080 | 0.9529 |
No log | 50.0 | 450 | 0.8695 | 0.6466 | 0.8695 | 0.9325 |
No log | 50.2222 | 452 | 0.8573 | 0.6567 | 0.8573 | 0.9259 |
No log | 50.4444 | 454 | 0.8667 | 0.6466 | 0.8667 | 0.9310 |
No log | 50.6667 | 456 | 0.8876 | 0.6269 | 0.8876 | 0.9421 |
No log | 50.8889 | 458 | 0.9230 | 0.6107 | 0.9230 | 0.9607 |
No log | 51.1111 | 460 | 0.9771 | 0.6212 | 0.9771 | 0.9885 |
No log | 51.3333 | 462 | 0.9836 | 0.6107 | 0.9836 | 0.9918 |
No log | 51.5556 | 464 | 0.9622 | 0.6154 | 0.9622 | 0.9809 |
No log | 51.7778 | 466 | 0.9743 | 0.5891 | 0.9743 | 0.9871 |
No log | 52.0 | 468 | 0.9789 | 0.5891 | 0.9789 | 0.9894 |
No log | 52.2222 | 470 | 0.9755 | 0.6094 | 0.9755 | 0.9877 |
No log | 52.4444 | 472 | 0.9827 | 0.6094 | 0.9827 | 0.9913 |
No log | 52.6667 | 474 | 0.9926 | 0.6094 | 0.9926 | 0.9963 |
No log | 52.8889 | 476 | 1.0043 | 0.6094 | 1.0043 | 1.0022 |
No log | 53.1111 | 478 | 1.0301 | 0.6142 | 1.0301 | 1.0149 |
No log | 53.3333 | 480 | 1.0343 | 0.5891 | 1.0343 | 1.0170 |
No log | 53.5556 | 482 | 1.0293 | 0.6107 | 1.0293 | 1.0146 |
No log | 53.7778 | 484 | 1.0151 | 0.6212 | 1.0151 | 1.0075 |
No log | 54.0 | 486 | 0.9688 | 0.6212 | 0.9688 | 0.9843 |
No log | 54.2222 | 488 | 0.9502 | 0.6357 | 0.9502 | 0.9748 |
No log | 54.4444 | 490 | 0.9379 | 0.5984 | 0.9379 | 0.9684 |
No log | 54.6667 | 492 | 0.9535 | 0.5984 | 0.9535 | 0.9765 |
No log | 54.8889 | 494 | 0.9750 | 0.5984 | 0.9750 | 0.9874 |
No log | 55.1111 | 496 | 0.9916 | 0.5984 | 0.9916 | 0.9958 |
No log | 55.3333 | 498 | 0.9865 | 0.5873 | 0.9865 | 0.9932 |
0.2429 | 55.5556 | 500 | 0.9727 | 0.5873 | 0.9727 | 0.9863 |
0.2429 | 55.7778 | 502 | 0.9593 | 0.5984 | 0.9593 | 0.9794 |
0.2429 | 56.0 | 504 | 0.9707 | 0.576 | 0.9707 | 0.9852 |
0.2429 | 56.2222 | 506 | 0.9866 | 0.6047 | 0.9866 | 0.9933 |
0.2429 | 56.4444 | 508 | 0.9968 | 0.6047 | 0.9968 | 0.9984 |
0.2429 | 56.6667 | 510 | 1.0032 | 0.6047 | 1.0032 | 1.0016 |
0.2429 | 56.8889 | 512 | 0.9776 | 0.6462 | 0.9776 | 0.9887 |
0.2429 | 57.1111 | 514 | 0.9509 | 0.6357 | 0.9509 | 0.9752 |
0.2429 | 57.3333 | 516 | 0.9477 | 0.5984 | 0.9477 | 0.9735 |
0.2429 | 57.5556 | 518 | 0.9670 | 0.6357 | 0.9670 | 0.9833 |
0.2429 | 57.7778 | 520 | 0.9884 | 0.6357 | 0.9884 | 0.9942 |
0.2429 | 58.0 | 522 | 0.9984 | 0.6094 | 0.9984 | 0.9992 |
0.2429 | 58.2222 | 524 | 1.0130 | 0.5827 | 1.0130 | 1.0065 |
0.2429 | 58.4444 | 526 | 1.0086 | 0.5714 | 1.0086 | 1.0043 |
0.2429 | 58.6667 | 528 | 1.0058 | 0.5984 | 1.0058 | 1.0029 |
0.2429 | 58.8889 | 530 | 0.9785 | 0.5984 | 0.9785 | 0.9892 |
0.2429 | 59.1111 | 532 | 0.9550 | 0.5984 | 0.9550 | 0.9772 |
0.2429 | 59.3333 | 534 | 0.9669 | 0.5984 | 0.9669 | 0.9833 |
0.2429 | 59.5556 | 536 | 0.9943 | 0.6094 | 0.9943 | 0.9971 |
0.2429 | 59.7778 | 538 | 1.0226 | 0.6357 | 1.0226 | 1.0112 |
0.2429 | 60.0 | 540 | 1.0603 | 0.6154 | 1.0603 | 1.0297 |
0.2429 | 60.2222 | 542 | 1.0610 | 0.6154 | 1.0610 | 1.0300 |
0.2429 | 60.4444 | 544 | 1.0345 | 0.6154 | 1.0345 | 1.0171 |
0.2429 | 60.6667 | 546 | 0.9843 | 0.6462 | 0.9843 | 0.9921 |
0.2429 | 60.8889 | 548 | 0.9503 | 0.6202 | 0.9503 | 0.9749 |
0.2429 | 61.1111 | 550 | 0.9233 | 0.5984 | 0.9233 | 0.9609 |
0.2429 | 61.3333 | 552 | 0.9201 | 0.5984 | 0.9201 | 0.9592 |
0.2429 | 61.5556 | 554 | 0.9175 | 0.6094 | 0.9175 | 0.9579 |
0.2429 | 61.7778 | 556 | 0.9242 | 0.6412 | 0.9242 | 0.9614 |
0.2429 | 62.0 | 558 | 0.9362 | 0.6412 | 0.9362 | 0.9676 |
0.2429 | 62.2222 | 560 | 0.9371 | 0.6412 | 0.9371 | 0.9680 |
0.2429 | 62.4444 | 562 | 0.9530 | 0.6412 | 0.9530 | 0.9762 |
0.2429 | 62.6667 | 564 | 0.9636 | 0.6412 | 0.9636 | 0.9816 |
0.2429 | 62.8889 | 566 | 0.9769 | 0.6202 | 0.9769 | 0.9884 |
0.2429 | 63.1111 | 568 | 0.9882 | 0.5938 | 0.9882 | 0.9941 |
0.2429 | 63.3333 | 570 | 1.0103 | 0.5827 | 1.0103 | 1.0051 |
0.2429 | 63.5556 | 572 | 1.0249 | 0.5827 | 1.0249 | 1.0124 |
0.2429 | 63.7778 | 574 | 1.0286 | 0.5714 | 1.0286 | 1.0142 |
0.2429 | 64.0 | 576 | 1.0293 | 0.5714 | 1.0293 | 1.0146 |
0.2429 | 64.2222 | 578 | 1.0372 | 0.5714 | 1.0372 | 1.0184 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 6
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k2_task1_organization
Base model
aubmindlab/bert-base-arabertv02