ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run999_AugV5_k1_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: 0.7527
- Qwk: 0.6277
- Mse: 0.7527
- Rmse: 0.8676
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 | 0.25 | 2 | 4.5672 | -0.0103 | 4.5672 | 2.1371 |
| No log | 0.5 | 4 | 3.8256 | 0.0165 | 3.8256 | 1.9559 |
| No log | 0.75 | 6 | 1.9924 | 0.0879 | 1.9924 | 1.4115 |
| No log | 1.0 | 8 | 1.3135 | 0.0992 | 1.3135 | 1.1461 |
| No log | 1.25 | 10 | 1.1989 | 0.2532 | 1.1989 | 1.0950 |
| No log | 1.5 | 12 | 1.1159 | 0.3663 | 1.1159 | 1.0564 |
| No log | 1.75 | 14 | 1.2979 | 0.1395 | 1.2979 | 1.1392 |
| No log | 2.0 | 16 | 1.7774 | 0.2007 | 1.7774 | 1.3332 |
| No log | 2.25 | 18 | 1.8266 | 0.2007 | 1.8266 | 1.3515 |
| No log | 2.5 | 20 | 1.2240 | 0.2094 | 1.2240 | 1.1064 |
| No log | 2.75 | 22 | 1.1697 | 0.2991 | 1.1697 | 1.0815 |
| No log | 3.0 | 24 | 1.3357 | 0.3487 | 1.3357 | 1.1557 |
| No log | 3.25 | 26 | 1.4775 | 0.3467 | 1.4775 | 1.2155 |
| No log | 3.5 | 28 | 1.3308 | 0.3337 | 1.3308 | 1.1536 |
| No log | 3.75 | 30 | 1.1887 | 0.3662 | 1.1887 | 1.0903 |
| No log | 4.0 | 32 | 1.1607 | 0.4181 | 1.1607 | 1.0774 |
| No log | 4.25 | 34 | 1.1590 | 0.4145 | 1.1590 | 1.0766 |
| No log | 4.5 | 36 | 1.3189 | 0.3624 | 1.3189 | 1.1484 |
| No log | 4.75 | 38 | 1.1902 | 0.3496 | 1.1902 | 1.0910 |
| No log | 5.0 | 40 | 0.9968 | 0.5283 | 0.9968 | 0.9984 |
| No log | 5.25 | 42 | 0.9532 | 0.4628 | 0.9532 | 0.9763 |
| No log | 5.5 | 44 | 0.8992 | 0.5336 | 0.8992 | 0.9482 |
| No log | 5.75 | 46 | 0.9013 | 0.5661 | 0.9013 | 0.9494 |
| No log | 6.0 | 48 | 1.0160 | 0.3812 | 1.0160 | 1.0080 |
| No log | 6.25 | 50 | 1.0665 | 0.2857 | 1.0665 | 1.0327 |
| No log | 6.5 | 52 | 0.9579 | 0.5161 | 0.9579 | 0.9787 |
| No log | 6.75 | 54 | 0.9063 | 0.5540 | 0.9063 | 0.9520 |
| No log | 7.0 | 56 | 0.8729 | 0.5469 | 0.8729 | 0.9343 |
| No log | 7.25 | 58 | 0.9195 | 0.5925 | 0.9195 | 0.9589 |
| No log | 7.5 | 60 | 0.9483 | 0.5981 | 0.9483 | 0.9738 |
| No log | 7.75 | 62 | 0.8631 | 0.5727 | 0.8631 | 0.9290 |
| No log | 8.0 | 64 | 0.8401 | 0.5316 | 0.8401 | 0.9166 |
| No log | 8.25 | 66 | 0.8532 | 0.5621 | 0.8532 | 0.9237 |
| No log | 8.5 | 68 | 0.9241 | 0.5763 | 0.9241 | 0.9613 |
| No log | 8.75 | 70 | 0.8741 | 0.6476 | 0.8741 | 0.9349 |
| No log | 9.0 | 72 | 0.9365 | 0.5653 | 0.9365 | 0.9677 |
| No log | 9.25 | 74 | 1.1255 | 0.3949 | 1.1255 | 1.0609 |
| No log | 9.5 | 76 | 1.1053 | 0.4032 | 1.1053 | 1.0514 |
| No log | 9.75 | 78 | 0.9055 | 0.5872 | 0.9055 | 0.9516 |
| No log | 10.0 | 80 | 0.8272 | 0.6038 | 0.8272 | 0.9095 |
| No log | 10.25 | 82 | 0.7976 | 0.5886 | 0.7976 | 0.8931 |
| No log | 10.5 | 84 | 0.8105 | 0.6010 | 0.8105 | 0.9003 |
| No log | 10.75 | 86 | 0.9892 | 0.5072 | 0.9892 | 0.9946 |
| No log | 11.0 | 88 | 1.1295 | 0.3995 | 1.1295 | 1.0628 |
| No log | 11.25 | 90 | 1.1286 | 0.3995 | 1.1286 | 1.0623 |
| No log | 11.5 | 92 | 0.9918 | 0.5387 | 0.9918 | 0.9959 |
| No log | 11.75 | 94 | 0.9009 | 0.5643 | 0.9009 | 0.9492 |
| No log | 12.0 | 96 | 0.8678 | 0.5634 | 0.8678 | 0.9316 |
| No log | 12.25 | 98 | 0.8491 | 0.5527 | 0.8491 | 0.9215 |
| No log | 12.5 | 100 | 0.9288 | 0.5848 | 0.9288 | 0.9638 |
| No log | 12.75 | 102 | 1.0346 | 0.3845 | 1.0346 | 1.0172 |
| No log | 13.0 | 104 | 1.0993 | 0.3757 | 1.0993 | 1.0485 |
| No log | 13.25 | 106 | 1.0666 | 0.3757 | 1.0666 | 1.0328 |
| No log | 13.5 | 108 | 0.9152 | 0.5458 | 0.9152 | 0.9567 |
| No log | 13.75 | 110 | 0.8455 | 0.5159 | 0.8455 | 0.9195 |
| No log | 14.0 | 112 | 0.8476 | 0.5012 | 0.8476 | 0.9206 |
| No log | 14.25 | 114 | 0.8169 | 0.5769 | 0.8169 | 0.9038 |
| No log | 14.5 | 116 | 0.8390 | 0.5889 | 0.8390 | 0.9160 |
| No log | 14.75 | 118 | 0.8586 | 0.5889 | 0.8586 | 0.9266 |
| No log | 15.0 | 120 | 0.9263 | 0.5855 | 0.9263 | 0.9624 |
| No log | 15.25 | 122 | 0.9487 | 0.5090 | 0.9487 | 0.9740 |
| No log | 15.5 | 124 | 0.9345 | 0.5202 | 0.9345 | 0.9667 |
| No log | 15.75 | 126 | 0.9169 | 0.6106 | 0.9169 | 0.9576 |
| No log | 16.0 | 128 | 0.8941 | 0.5750 | 0.8941 | 0.9456 |
| No log | 16.25 | 130 | 0.8700 | 0.5706 | 0.8700 | 0.9327 |
| No log | 16.5 | 132 | 0.9050 | 0.5911 | 0.9050 | 0.9513 |
| No log | 16.75 | 134 | 0.9342 | 0.5479 | 0.9342 | 0.9665 |
| No log | 17.0 | 136 | 0.9597 | 0.4526 | 0.9597 | 0.9796 |
| No log | 17.25 | 138 | 0.9473 | 0.4449 | 0.9473 | 0.9733 |
| No log | 17.5 | 140 | 0.9224 | 0.5398 | 0.9224 | 0.9604 |
| No log | 17.75 | 142 | 0.8434 | 0.5835 | 0.8434 | 0.9184 |
| No log | 18.0 | 144 | 0.7839 | 0.6044 | 0.7839 | 0.8854 |
| No log | 18.25 | 146 | 0.8347 | 0.5835 | 0.8347 | 0.9136 |
| No log | 18.5 | 148 | 0.8247 | 0.6060 | 0.8247 | 0.9081 |
| No log | 18.75 | 150 | 0.7776 | 0.6328 | 0.7776 | 0.8818 |
| No log | 19.0 | 152 | 0.8599 | 0.5963 | 0.8599 | 0.9273 |
| No log | 19.25 | 154 | 0.9787 | 0.4765 | 0.9787 | 0.9893 |
| No log | 19.5 | 156 | 0.9388 | 0.5530 | 0.9388 | 0.9689 |
| No log | 19.75 | 158 | 0.8001 | 0.5683 | 0.8001 | 0.8945 |
| No log | 20.0 | 160 | 0.7520 | 0.5611 | 0.7520 | 0.8672 |
| No log | 20.25 | 162 | 0.7939 | 0.5519 | 0.7939 | 0.8910 |
| No log | 20.5 | 164 | 0.7527 | 0.5988 | 0.7527 | 0.8676 |
| No log | 20.75 | 166 | 0.7427 | 0.5993 | 0.7427 | 0.8618 |
| No log | 21.0 | 168 | 0.8660 | 0.5778 | 0.8660 | 0.9306 |
| No log | 21.25 | 170 | 0.9971 | 0.4767 | 0.9971 | 0.9986 |
| No log | 21.5 | 172 | 0.9048 | 0.5892 | 0.9048 | 0.9512 |
| No log | 21.75 | 174 | 0.7944 | 0.5968 | 0.7944 | 0.8913 |
| No log | 22.0 | 176 | 0.7774 | 0.5573 | 0.7774 | 0.8817 |
| No log | 22.25 | 178 | 0.7796 | 0.5621 | 0.7796 | 0.8829 |
| No log | 22.5 | 180 | 0.8166 | 0.5752 | 0.8166 | 0.9037 |
| No log | 22.75 | 182 | 0.8159 | 0.5167 | 0.8159 | 0.9033 |
| No log | 23.0 | 184 | 0.8132 | 0.5413 | 0.8132 | 0.9018 |
| No log | 23.25 | 186 | 0.8279 | 0.5548 | 0.8279 | 0.9099 |
| No log | 23.5 | 188 | 0.8567 | 0.6014 | 0.8567 | 0.9256 |
| No log | 23.75 | 190 | 0.8828 | 0.6067 | 0.8828 | 0.9396 |
| No log | 24.0 | 192 | 0.9324 | 0.5687 | 0.9324 | 0.9656 |
| No log | 24.25 | 194 | 0.9485 | 0.5392 | 0.9485 | 0.9739 |
| No log | 24.5 | 196 | 0.8357 | 0.5911 | 0.8357 | 0.9142 |
| No log | 24.75 | 198 | 0.7682 | 0.5413 | 0.7682 | 0.8765 |
| No log | 25.0 | 200 | 0.7771 | 0.4889 | 0.7771 | 0.8815 |
| No log | 25.25 | 202 | 0.7889 | 0.4889 | 0.7889 | 0.8882 |
| No log | 25.5 | 204 | 0.7767 | 0.4889 | 0.7767 | 0.8813 |
| No log | 25.75 | 206 | 0.7653 | 0.5481 | 0.7653 | 0.8748 |
| No log | 26.0 | 208 | 0.7854 | 0.5969 | 0.7854 | 0.8862 |
| No log | 26.25 | 210 | 0.9035 | 0.5737 | 0.9035 | 0.9505 |
| No log | 26.5 | 212 | 0.9183 | 0.5920 | 0.9183 | 0.9583 |
| No log | 26.75 | 214 | 0.8388 | 0.6212 | 0.8388 | 0.9158 |
| No log | 27.0 | 216 | 0.7822 | 0.6139 | 0.7822 | 0.8844 |
| No log | 27.25 | 218 | 0.7722 | 0.6086 | 0.7722 | 0.8787 |
| No log | 27.5 | 220 | 0.8329 | 0.6095 | 0.8329 | 0.9127 |
| No log | 27.75 | 222 | 0.9132 | 0.5228 | 0.9132 | 0.9556 |
| No log | 28.0 | 224 | 0.9593 | 0.5228 | 0.9593 | 0.9795 |
| No log | 28.25 | 226 | 0.9844 | 0.5148 | 0.9844 | 0.9922 |
| No log | 28.5 | 228 | 0.9307 | 0.5383 | 0.9307 | 0.9647 |
| No log | 28.75 | 230 | 0.8670 | 0.6201 | 0.8670 | 0.9311 |
| No log | 29.0 | 232 | 0.7697 | 0.5854 | 0.7697 | 0.8773 |
| No log | 29.25 | 234 | 0.7627 | 0.5012 | 0.7627 | 0.8733 |
| No log | 29.5 | 236 | 0.7568 | 0.5239 | 0.7568 | 0.8699 |
| No log | 29.75 | 238 | 0.7426 | 0.5315 | 0.7426 | 0.8618 |
| No log | 30.0 | 240 | 0.7565 | 0.5581 | 0.7565 | 0.8698 |
| No log | 30.25 | 242 | 0.7949 | 0.5226 | 0.7949 | 0.8916 |
| No log | 30.5 | 244 | 0.7903 | 0.5279 | 0.7903 | 0.8890 |
| No log | 30.75 | 246 | 0.7935 | 0.5581 | 0.7935 | 0.8908 |
| No log | 31.0 | 248 | 0.7920 | 0.5581 | 0.7920 | 0.8899 |
| No log | 31.25 | 250 | 0.7911 | 0.5581 | 0.7911 | 0.8895 |
| No log | 31.5 | 252 | 0.8080 | 0.5226 | 0.8080 | 0.8989 |
| No log | 31.75 | 254 | 0.7824 | 0.5279 | 0.7824 | 0.8845 |
| No log | 32.0 | 256 | 0.7594 | 0.5830 | 0.7594 | 0.8714 |
| No log | 32.25 | 258 | 0.7512 | 0.5773 | 0.7512 | 0.8667 |
| No log | 32.5 | 260 | 0.7516 | 0.5458 | 0.7516 | 0.8670 |
| No log | 32.75 | 262 | 0.7596 | 0.5944 | 0.7596 | 0.8715 |
| No log | 33.0 | 264 | 0.7556 | 0.5773 | 0.7556 | 0.8693 |
| No log | 33.25 | 266 | 0.7606 | 0.5462 | 0.7606 | 0.8721 |
| No log | 33.5 | 268 | 0.7813 | 0.5443 | 0.7813 | 0.8839 |
| No log | 33.75 | 270 | 0.7974 | 0.5633 | 0.7974 | 0.8930 |
| No log | 34.0 | 272 | 0.8128 | 0.5787 | 0.8128 | 0.9016 |
| No log | 34.25 | 274 | 0.7962 | 0.5691 | 0.7962 | 0.8923 |
| No log | 34.5 | 276 | 0.8200 | 0.6026 | 0.8200 | 0.9055 |
| No log | 34.75 | 278 | 0.8420 | 0.6167 | 0.8420 | 0.9176 |
| No log | 35.0 | 280 | 0.8093 | 0.6167 | 0.8093 | 0.8996 |
| No log | 35.25 | 282 | 0.7566 | 0.6032 | 0.7566 | 0.8698 |
| No log | 35.5 | 284 | 0.7621 | 0.5681 | 0.7621 | 0.8730 |
| No log | 35.75 | 286 | 0.7825 | 0.5956 | 0.7825 | 0.8846 |
| No log | 36.0 | 288 | 0.7786 | 0.5816 | 0.7786 | 0.8824 |
| No log | 36.25 | 290 | 0.7601 | 0.5530 | 0.7601 | 0.8718 |
| No log | 36.5 | 292 | 0.7678 | 0.5194 | 0.7678 | 0.8762 |
| No log | 36.75 | 294 | 0.8233 | 0.5926 | 0.8233 | 0.9073 |
| No log | 37.0 | 296 | 0.8563 | 0.5571 | 0.8563 | 0.9254 |
| No log | 37.25 | 298 | 0.8415 | 0.5513 | 0.8415 | 0.9173 |
| No log | 37.5 | 300 | 0.7797 | 0.5563 | 0.7797 | 0.8830 |
| No log | 37.75 | 302 | 0.7475 | 0.5596 | 0.7475 | 0.8646 |
| No log | 38.0 | 304 | 0.7587 | 0.5915 | 0.7587 | 0.8710 |
| No log | 38.25 | 306 | 0.7819 | 0.6277 | 0.7819 | 0.8843 |
| No log | 38.5 | 308 | 0.8275 | 0.6097 | 0.8275 | 0.9097 |
| No log | 38.75 | 310 | 0.8783 | 0.6321 | 0.8783 | 0.9372 |
| No log | 39.0 | 312 | 0.8847 | 0.6340 | 0.8847 | 0.9406 |
| No log | 39.25 | 314 | 0.8524 | 0.6136 | 0.8524 | 0.9232 |
| No log | 39.5 | 316 | 0.8067 | 0.5971 | 0.8067 | 0.8981 |
| No log | 39.75 | 318 | 0.7862 | 0.5658 | 0.7862 | 0.8867 |
| No log | 40.0 | 320 | 0.7645 | 0.5397 | 0.7645 | 0.8744 |
| No log | 40.25 | 322 | 0.7652 | 0.5582 | 0.7652 | 0.8747 |
| No log | 40.5 | 324 | 0.7895 | 0.5693 | 0.7895 | 0.8886 |
| No log | 40.75 | 326 | 0.8312 | 0.6011 | 0.8312 | 0.9117 |
| No log | 41.0 | 328 | 0.8201 | 0.6074 | 0.8201 | 0.9056 |
| No log | 41.25 | 330 | 0.8093 | 0.6074 | 0.8093 | 0.8996 |
| No log | 41.5 | 332 | 0.7577 | 0.5759 | 0.7577 | 0.8705 |
| No log | 41.75 | 334 | 0.7257 | 0.6108 | 0.7257 | 0.8519 |
| No log | 42.0 | 336 | 0.7305 | 0.5148 | 0.7305 | 0.8547 |
| No log | 42.25 | 338 | 0.7625 | 0.5359 | 0.7625 | 0.8732 |
| No log | 42.5 | 340 | 0.7724 | 0.5515 | 0.7724 | 0.8789 |
| No log | 42.75 | 342 | 0.7583 | 0.5481 | 0.7583 | 0.8708 |
| No log | 43.0 | 344 | 0.7621 | 0.6218 | 0.7621 | 0.8730 |
| No log | 43.25 | 346 | 0.8241 | 0.5783 | 0.8241 | 0.9078 |
| No log | 43.5 | 348 | 0.8800 | 0.6305 | 0.8800 | 0.9381 |
| No log | 43.75 | 350 | 0.9163 | 0.6274 | 0.9163 | 0.9572 |
| No log | 44.0 | 352 | 0.9326 | 0.6241 | 0.9326 | 0.9657 |
| No log | 44.25 | 354 | 0.8969 | 0.6434 | 0.8969 | 0.9470 |
| No log | 44.5 | 356 | 0.8530 | 0.6098 | 0.8530 | 0.9236 |
| No log | 44.75 | 358 | 0.8156 | 0.6108 | 0.8156 | 0.9031 |
| No log | 45.0 | 360 | 0.7856 | 0.5573 | 0.7856 | 0.8864 |
| No log | 45.25 | 362 | 0.7766 | 0.5391 | 0.7766 | 0.8813 |
| No log | 45.5 | 364 | 0.7773 | 0.5396 | 0.7773 | 0.8816 |
| No log | 45.75 | 366 | 0.7936 | 0.6078 | 0.7936 | 0.8908 |
| No log | 46.0 | 368 | 0.8269 | 0.6151 | 0.8269 | 0.9094 |
| No log | 46.25 | 370 | 0.8661 | 0.6026 | 0.8661 | 0.9306 |
| No log | 46.5 | 372 | 0.8898 | 0.5739 | 0.8898 | 0.9433 |
| No log | 46.75 | 374 | 0.9149 | 0.5763 | 0.9149 | 0.9565 |
| No log | 47.0 | 376 | 0.8884 | 0.5763 | 0.8884 | 0.9426 |
| No log | 47.25 | 378 | 0.8597 | 0.5816 | 0.8597 | 0.9272 |
| No log | 47.5 | 380 | 0.8038 | 0.6048 | 0.8038 | 0.8966 |
| No log | 47.75 | 382 | 0.7453 | 0.5930 | 0.7453 | 0.8633 |
| No log | 48.0 | 384 | 0.7387 | 0.5958 | 0.7387 | 0.8595 |
| No log | 48.25 | 386 | 0.7387 | 0.5793 | 0.7387 | 0.8595 |
| No log | 48.5 | 388 | 0.7377 | 0.6075 | 0.7377 | 0.8589 |
| No log | 48.75 | 390 | 0.7344 | 0.5828 | 0.7344 | 0.8570 |
| No log | 49.0 | 392 | 0.7425 | 0.5793 | 0.7425 | 0.8617 |
| No log | 49.25 | 394 | 0.7764 | 0.5976 | 0.7764 | 0.8811 |
| No log | 49.5 | 396 | 0.8145 | 0.6157 | 0.8145 | 0.9025 |
| No log | 49.75 | 398 | 0.8599 | 0.5856 | 0.8599 | 0.9273 |
| No log | 50.0 | 400 | 0.9296 | 0.5533 | 0.9296 | 0.9642 |
| No log | 50.25 | 402 | 0.9645 | 0.5681 | 0.9645 | 0.9821 |
| No log | 50.5 | 404 | 0.9089 | 0.5681 | 0.9089 | 0.9534 |
| No log | 50.75 | 406 | 0.8218 | 0.6202 | 0.8218 | 0.9065 |
| No log | 51.0 | 408 | 0.7478 | 0.6172 | 0.7478 | 0.8648 |
| No log | 51.25 | 410 | 0.7114 | 0.6151 | 0.7114 | 0.8435 |
| No log | 51.5 | 412 | 0.6909 | 0.6487 | 0.6909 | 0.8312 |
| No log | 51.75 | 414 | 0.6946 | 0.6244 | 0.6946 | 0.8334 |
| No log | 52.0 | 416 | 0.7115 | 0.6044 | 0.7115 | 0.8435 |
| No log | 52.25 | 418 | 0.7130 | 0.6228 | 0.7130 | 0.8444 |
| No log | 52.5 | 420 | 0.7106 | 0.6404 | 0.7106 | 0.8430 |
| No log | 52.75 | 422 | 0.7094 | 0.6089 | 0.7094 | 0.8423 |
| No log | 53.0 | 424 | 0.7039 | 0.6629 | 0.7039 | 0.8390 |
| No log | 53.25 | 426 | 0.6985 | 0.6237 | 0.6985 | 0.8358 |
| No log | 53.5 | 428 | 0.7047 | 0.5988 | 0.7047 | 0.8395 |
| No log | 53.75 | 430 | 0.7138 | 0.6328 | 0.7138 | 0.8449 |
| No log | 54.0 | 432 | 0.7195 | 0.5815 | 0.7195 | 0.8482 |
| No log | 54.25 | 434 | 0.7271 | 0.6097 | 0.7271 | 0.8527 |
| No log | 54.5 | 436 | 0.7365 | 0.6647 | 0.7365 | 0.8582 |
| No log | 54.75 | 438 | 0.7400 | 0.6669 | 0.7400 | 0.8602 |
| No log | 55.0 | 440 | 0.7317 | 0.6343 | 0.7317 | 0.8554 |
| No log | 55.25 | 442 | 0.7222 | 0.6343 | 0.7222 | 0.8498 |
| No log | 55.5 | 444 | 0.7139 | 0.6218 | 0.7139 | 0.8450 |
| No log | 55.75 | 446 | 0.7090 | 0.6468 | 0.7090 | 0.8420 |
| No log | 56.0 | 448 | 0.7157 | 0.6393 | 0.7157 | 0.8460 |
| No log | 56.25 | 450 | 0.7200 | 0.6468 | 0.7200 | 0.8486 |
| No log | 56.5 | 452 | 0.7242 | 0.6119 | 0.7242 | 0.8510 |
| No log | 56.75 | 454 | 0.7298 | 0.6119 | 0.7298 | 0.8543 |
| No log | 57.0 | 456 | 0.7402 | 0.5974 | 0.7402 | 0.8604 |
| No log | 57.25 | 458 | 0.7547 | 0.6044 | 0.7547 | 0.8687 |
| No log | 57.5 | 460 | 0.7690 | 0.5931 | 0.7690 | 0.8769 |
| No log | 57.75 | 462 | 0.7846 | 0.6151 | 0.7846 | 0.8858 |
| No log | 58.0 | 464 | 0.8249 | 0.6160 | 0.8249 | 0.9082 |
| No log | 58.25 | 466 | 0.8499 | 0.6146 | 0.8499 | 0.9219 |
| No log | 58.5 | 468 | 0.8405 | 0.6404 | 0.8405 | 0.9168 |
| No log | 58.75 | 470 | 0.8178 | 0.6246 | 0.8178 | 0.9043 |
| No log | 59.0 | 472 | 0.7906 | 0.6225 | 0.7906 | 0.8892 |
| No log | 59.25 | 474 | 0.7889 | 0.6228 | 0.7889 | 0.8882 |
| No log | 59.5 | 476 | 0.7943 | 0.6024 | 0.7943 | 0.8912 |
| No log | 59.75 | 478 | 0.7907 | 0.6024 | 0.7907 | 0.8892 |
| No log | 60.0 | 480 | 0.7812 | 0.6024 | 0.7812 | 0.8838 |
| No log | 60.25 | 482 | 0.7588 | 0.5827 | 0.7588 | 0.8711 |
| No log | 60.5 | 484 | 0.7538 | 0.6343 | 0.7538 | 0.8682 |
| No log | 60.75 | 486 | 0.7566 | 0.6065 | 0.7566 | 0.8699 |
| No log | 61.0 | 488 | 0.7507 | 0.6065 | 0.7507 | 0.8664 |
| No log | 61.25 | 490 | 0.7477 | 0.6205 | 0.7477 | 0.8647 |
| No log | 61.5 | 492 | 0.7367 | 0.6205 | 0.7367 | 0.8583 |
| No log | 61.75 | 494 | 0.7180 | 0.6097 | 0.7180 | 0.8474 |
| No log | 62.0 | 496 | 0.7051 | 0.6257 | 0.7051 | 0.8397 |
| No log | 62.25 | 498 | 0.7055 | 0.6479 | 0.7055 | 0.8399 |
| 0.2158 | 62.5 | 500 | 0.7168 | 0.7044 | 0.7168 | 0.8466 |
| 0.2158 | 62.75 | 502 | 0.7305 | 0.6725 | 0.7305 | 0.8547 |
| 0.2158 | 63.0 | 504 | 0.7416 | 0.6414 | 0.7416 | 0.8611 |
| 0.2158 | 63.25 | 506 | 0.7493 | 0.6414 | 0.7493 | 0.8656 |
| 0.2158 | 63.5 | 508 | 0.7530 | 0.6366 | 0.7530 | 0.8678 |
| 0.2158 | 63.75 | 510 | 0.7527 | 0.6277 | 0.7527 | 0.8676 |
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_B_usingWellWrittenEssays_FineTuningAraBERT_run999_AugV5_k1_task2_organization
Base model
aubmindlab/bert-base-arabertv02