ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k1_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: 0.8396
- Qwk: 0.6619
- Mse: 0.8396
- Rmse: 0.9163
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 | 7.9385 | -0.0293 | 7.9385 | 2.8175 |
| No log | 0.5 | 4 | 5.1544 | 0.0484 | 5.1544 | 2.2703 |
| No log | 0.75 | 6 | 3.7354 | 0.1164 | 3.7354 | 1.9327 |
| No log | 1.0 | 8 | 2.3826 | 0.0789 | 2.3826 | 1.5436 |
| No log | 1.25 | 10 | 1.7186 | 0.2569 | 1.7186 | 1.3110 |
| No log | 1.5 | 12 | 1.7228 | 0.1887 | 1.7228 | 1.3126 |
| No log | 1.75 | 14 | 1.7162 | 0.1165 | 1.7162 | 1.3100 |
| No log | 2.0 | 16 | 1.6679 | 0.1165 | 1.6679 | 1.2915 |
| No log | 2.25 | 18 | 1.6137 | 0.1538 | 1.6137 | 1.2703 |
| No log | 2.5 | 20 | 1.6243 | 0.1905 | 1.6243 | 1.2745 |
| No log | 2.75 | 22 | 1.7201 | 0.2056 | 1.7201 | 1.3115 |
| No log | 3.0 | 24 | 1.6855 | 0.1887 | 1.6855 | 1.2983 |
| No log | 3.25 | 26 | 1.5561 | 0.2243 | 1.5561 | 1.2474 |
| No log | 3.5 | 28 | 1.4150 | 0.2593 | 1.4150 | 1.1896 |
| No log | 3.75 | 30 | 1.2890 | 0.3303 | 1.2890 | 1.1354 |
| No log | 4.0 | 32 | 1.2181 | 0.3604 | 1.2181 | 1.1037 |
| No log | 4.25 | 34 | 1.1879 | 0.4348 | 1.1879 | 1.0899 |
| No log | 4.5 | 36 | 1.1841 | 0.4615 | 1.1841 | 1.0882 |
| No log | 4.75 | 38 | 1.2040 | 0.4793 | 1.2040 | 1.0973 |
| No log | 5.0 | 40 | 1.2823 | 0.3902 | 1.2823 | 1.1324 |
| No log | 5.25 | 42 | 1.1835 | 0.4839 | 1.1835 | 1.0879 |
| No log | 5.5 | 44 | 1.1127 | 0.5203 | 1.1127 | 1.0548 |
| No log | 5.75 | 46 | 1.0054 | 0.5669 | 1.0054 | 1.0027 |
| No log | 6.0 | 48 | 0.9667 | 0.5827 | 0.9667 | 0.9832 |
| No log | 6.25 | 50 | 0.9029 | 0.6418 | 0.9029 | 0.9502 |
| No log | 6.5 | 52 | 0.8206 | 0.6765 | 0.8206 | 0.9059 |
| No log | 6.75 | 54 | 0.9222 | 0.5984 | 0.9222 | 0.9603 |
| No log | 7.0 | 56 | 1.2301 | 0.4844 | 1.2301 | 1.1091 |
| No log | 7.25 | 58 | 1.1927 | 0.5312 | 1.1927 | 1.0921 |
| No log | 7.5 | 60 | 1.0617 | 0.5692 | 1.0617 | 1.0304 |
| No log | 7.75 | 62 | 0.8915 | 0.6222 | 0.8915 | 0.9442 |
| No log | 8.0 | 64 | 0.8804 | 0.6765 | 0.8804 | 0.9383 |
| No log | 8.25 | 66 | 0.8770 | 0.5821 | 0.8770 | 0.9365 |
| No log | 8.5 | 68 | 1.0373 | 0.6667 | 1.0373 | 1.0185 |
| No log | 8.75 | 70 | 1.2794 | 0.5848 | 1.2794 | 1.1311 |
| No log | 9.0 | 72 | 1.1820 | 0.5844 | 1.1820 | 1.0872 |
| No log | 9.25 | 74 | 1.1164 | 0.6043 | 1.1164 | 1.0566 |
| No log | 9.5 | 76 | 1.1808 | 0.5755 | 1.1808 | 1.0867 |
| No log | 9.75 | 78 | 1.0817 | 0.6099 | 1.0817 | 1.0400 |
| No log | 10.0 | 80 | 0.9407 | 0.7051 | 0.9407 | 0.9699 |
| No log | 10.25 | 82 | 0.9551 | 0.6792 | 0.9551 | 0.9773 |
| No log | 10.5 | 84 | 1.0323 | 0.6667 | 1.0323 | 1.0160 |
| No log | 10.75 | 86 | 0.8741 | 0.675 | 0.8741 | 0.9350 |
| No log | 11.0 | 88 | 0.7790 | 0.7123 | 0.7790 | 0.8826 |
| No log | 11.25 | 90 | 0.8553 | 0.7034 | 0.8553 | 0.9249 |
| No log | 11.5 | 92 | 0.8644 | 0.6573 | 0.8644 | 0.9298 |
| No log | 11.75 | 94 | 0.8155 | 0.6993 | 0.8155 | 0.9031 |
| No log | 12.0 | 96 | 0.7934 | 0.6806 | 0.7934 | 0.8907 |
| No log | 12.25 | 98 | 0.9552 | 0.6536 | 0.9552 | 0.9774 |
| No log | 12.5 | 100 | 1.1599 | 0.6257 | 1.1599 | 1.0770 |
| No log | 12.75 | 102 | 1.1224 | 0.6509 | 1.1224 | 1.0594 |
| No log | 13.0 | 104 | 0.9196 | 0.6494 | 0.9196 | 0.9590 |
| No log | 13.25 | 106 | 0.7888 | 0.6667 | 0.7888 | 0.8882 |
| No log | 13.5 | 108 | 0.8430 | 0.6714 | 0.8430 | 0.9181 |
| No log | 13.75 | 110 | 1.0141 | 0.6087 | 1.0141 | 1.0070 |
| No log | 14.0 | 112 | 1.1154 | 0.5455 | 1.1154 | 1.0561 |
| No log | 14.25 | 114 | 1.0894 | 0.4962 | 1.0894 | 1.0437 |
| No log | 14.5 | 116 | 1.0026 | 0.5672 | 1.0026 | 1.0013 |
| No log | 14.75 | 118 | 0.8806 | 0.6165 | 0.8806 | 0.9384 |
| No log | 15.0 | 120 | 0.8388 | 0.7101 | 0.8388 | 0.9159 |
| No log | 15.25 | 122 | 0.8445 | 0.6522 | 0.8445 | 0.9190 |
| No log | 15.5 | 124 | 0.9593 | 0.6923 | 0.9593 | 0.9794 |
| No log | 15.75 | 126 | 1.0445 | 0.6347 | 1.0445 | 1.0220 |
| No log | 16.0 | 128 | 1.0292 | 0.6545 | 1.0292 | 1.0145 |
| No log | 16.25 | 130 | 0.9376 | 0.6928 | 0.9376 | 0.9683 |
| No log | 16.5 | 132 | 0.8708 | 0.6993 | 0.8708 | 0.9332 |
| No log | 16.75 | 134 | 0.8123 | 0.6761 | 0.8123 | 0.9013 |
| No log | 17.0 | 136 | 0.8259 | 0.6621 | 0.8259 | 0.9088 |
| No log | 17.25 | 138 | 0.9630 | 0.6714 | 0.9630 | 0.9813 |
| No log | 17.5 | 140 | 1.0882 | 0.5985 | 1.0882 | 1.0432 |
| No log | 17.75 | 142 | 1.0453 | 0.5821 | 1.0453 | 1.0224 |
| No log | 18.0 | 144 | 0.9859 | 0.6389 | 0.9859 | 0.9929 |
| No log | 18.25 | 146 | 0.9407 | 0.6389 | 0.9407 | 0.9699 |
| No log | 18.5 | 148 | 0.9134 | 0.6277 | 0.9134 | 0.9557 |
| No log | 18.75 | 150 | 0.8856 | 0.6165 | 0.8856 | 0.9411 |
| No log | 19.0 | 152 | 0.8267 | 0.6418 | 0.8267 | 0.9092 |
| No log | 19.25 | 154 | 0.8717 | 0.6573 | 0.8717 | 0.9337 |
| No log | 19.5 | 156 | 0.9435 | 0.6579 | 0.9435 | 0.9713 |
| No log | 19.75 | 158 | 0.9744 | 0.6795 | 0.9744 | 0.9871 |
| No log | 20.0 | 160 | 0.9995 | 0.6795 | 0.9995 | 0.9997 |
| No log | 20.25 | 162 | 0.8358 | 0.7237 | 0.8358 | 0.9142 |
| No log | 20.5 | 164 | 0.7856 | 0.6857 | 0.7856 | 0.8863 |
| No log | 20.75 | 166 | 0.7375 | 0.6765 | 0.7375 | 0.8588 |
| No log | 21.0 | 168 | 0.7717 | 0.6950 | 0.7717 | 0.8785 |
| No log | 21.25 | 170 | 0.8712 | 0.6573 | 0.8712 | 0.9334 |
| No log | 21.5 | 172 | 0.8944 | 0.6573 | 0.8944 | 0.9457 |
| No log | 21.75 | 174 | 0.8328 | 0.6619 | 0.8328 | 0.9126 |
| No log | 22.0 | 176 | 0.7638 | 0.7007 | 0.7638 | 0.8739 |
| No log | 22.25 | 178 | 0.7465 | 0.7101 | 0.7465 | 0.8640 |
| No log | 22.5 | 180 | 0.8438 | 0.6710 | 0.8438 | 0.9186 |
| No log | 22.75 | 182 | 0.8801 | 0.6541 | 0.8801 | 0.9382 |
| No log | 23.0 | 184 | 0.8689 | 0.6497 | 0.8689 | 0.9322 |
| No log | 23.25 | 186 | 0.9716 | 0.6460 | 0.9716 | 0.9857 |
| No log | 23.5 | 188 | 0.9518 | 0.65 | 0.9518 | 0.9756 |
| No log | 23.75 | 190 | 0.9260 | 0.6582 | 0.9260 | 0.9623 |
| No log | 24.0 | 192 | 0.9295 | 0.6541 | 0.9295 | 0.9641 |
| No log | 24.25 | 194 | 1.0014 | 0.6424 | 1.0014 | 1.0007 |
| No log | 24.5 | 196 | 1.0334 | 0.6626 | 1.0334 | 1.0166 |
| No log | 24.75 | 198 | 0.8691 | 0.6853 | 0.8691 | 0.9323 |
| No log | 25.0 | 200 | 0.7628 | 0.6715 | 0.7628 | 0.8734 |
| No log | 25.25 | 202 | 0.7787 | 0.6993 | 0.7787 | 0.8824 |
| No log | 25.5 | 204 | 0.8950 | 0.7037 | 0.8950 | 0.9460 |
| No log | 25.75 | 206 | 1.0624 | 0.6786 | 1.0624 | 1.0307 |
| No log | 26.0 | 208 | 1.0469 | 0.6667 | 1.0469 | 1.0232 |
| No log | 26.25 | 210 | 0.9168 | 0.7013 | 0.9168 | 0.9575 |
| No log | 26.5 | 212 | 0.8216 | 0.7114 | 0.8216 | 0.9064 |
| No log | 26.75 | 214 | 0.8163 | 0.7034 | 0.8163 | 0.9035 |
| No log | 27.0 | 216 | 0.8886 | 0.6525 | 0.8886 | 0.9427 |
| No log | 27.25 | 218 | 0.9120 | 0.6483 | 0.9120 | 0.9550 |
| No log | 27.5 | 220 | 0.9052 | 0.6483 | 0.9052 | 0.9514 |
| No log | 27.75 | 222 | 0.8583 | 0.6471 | 0.8583 | 0.9264 |
| No log | 28.0 | 224 | 0.8477 | 0.6714 | 0.8477 | 0.9207 |
| No log | 28.25 | 226 | 0.8665 | 0.6569 | 0.8665 | 0.9309 |
| No log | 28.5 | 228 | 0.8860 | 0.6522 | 0.8860 | 0.9413 |
| No log | 28.75 | 230 | 0.8931 | 0.6377 | 0.8931 | 0.9450 |
| No log | 29.0 | 232 | 0.9202 | 0.6351 | 0.9202 | 0.9593 |
| No log | 29.25 | 234 | 0.8643 | 0.6711 | 0.8643 | 0.9297 |
| No log | 29.5 | 236 | 0.7376 | 0.7234 | 0.7376 | 0.8588 |
| No log | 29.75 | 238 | 0.6859 | 0.7324 | 0.6859 | 0.8282 |
| No log | 30.0 | 240 | 0.6908 | 0.7310 | 0.6908 | 0.8311 |
| No log | 30.25 | 242 | 0.6848 | 0.7483 | 0.6848 | 0.8275 |
| No log | 30.5 | 244 | 0.7587 | 0.7582 | 0.7587 | 0.8711 |
| No log | 30.75 | 246 | 0.8236 | 0.7097 | 0.8236 | 0.9075 |
| No log | 31.0 | 248 | 0.7762 | 0.7123 | 0.7762 | 0.8810 |
| No log | 31.25 | 250 | 0.7813 | 0.6806 | 0.7813 | 0.8839 |
| No log | 31.5 | 252 | 0.7838 | 0.6968 | 0.7838 | 0.8853 |
| No log | 31.75 | 254 | 0.8272 | 0.675 | 0.8272 | 0.9095 |
| No log | 32.0 | 256 | 0.9148 | 0.6667 | 0.9148 | 0.9564 |
| No log | 32.25 | 258 | 0.8767 | 0.6577 | 0.8767 | 0.9363 |
| No log | 32.5 | 260 | 0.7436 | 0.7050 | 0.7436 | 0.8623 |
| No log | 32.75 | 262 | 0.7408 | 0.6567 | 0.7408 | 0.8607 |
| No log | 33.0 | 264 | 0.7745 | 0.6906 | 0.7745 | 0.8800 |
| No log | 33.25 | 266 | 0.8395 | 0.6241 | 0.8395 | 0.9162 |
| No log | 33.5 | 268 | 0.9384 | 0.6483 | 0.9384 | 0.9687 |
| No log | 33.75 | 270 | 0.9325 | 0.625 | 0.9325 | 0.9657 |
| No log | 34.0 | 272 | 0.8306 | 0.6619 | 0.8306 | 0.9114 |
| No log | 34.25 | 274 | 0.7886 | 0.6901 | 0.7886 | 0.8880 |
| No log | 34.5 | 276 | 0.7890 | 0.6857 | 0.7890 | 0.8882 |
| No log | 34.75 | 278 | 0.8653 | 0.7030 | 0.8653 | 0.9302 |
| No log | 35.0 | 280 | 1.0008 | 0.6627 | 1.0008 | 1.0004 |
| No log | 35.25 | 282 | 1.0011 | 0.6824 | 1.0011 | 1.0006 |
| No log | 35.5 | 284 | 0.8275 | 0.7368 | 0.8275 | 0.9097 |
| No log | 35.75 | 286 | 0.6655 | 0.7297 | 0.6655 | 0.8158 |
| No log | 36.0 | 288 | 0.6579 | 0.7222 | 0.6579 | 0.8111 |
| No log | 36.25 | 290 | 0.6633 | 0.7092 | 0.6633 | 0.8144 |
| No log | 36.5 | 292 | 0.7094 | 0.7361 | 0.7094 | 0.8422 |
| No log | 36.75 | 294 | 0.8295 | 0.6667 | 0.8295 | 0.9108 |
| No log | 37.0 | 296 | 0.8943 | 0.6707 | 0.8943 | 0.9456 |
| No log | 37.25 | 298 | 0.8828 | 0.6623 | 0.8828 | 0.9396 |
| No log | 37.5 | 300 | 0.8250 | 0.7092 | 0.8250 | 0.9083 |
| No log | 37.75 | 302 | 0.7853 | 0.7050 | 0.7853 | 0.8862 |
| No log | 38.0 | 304 | 0.8093 | 0.7050 | 0.8093 | 0.8996 |
| No log | 38.25 | 306 | 0.8771 | 0.6667 | 0.8771 | 0.9365 |
| No log | 38.5 | 308 | 0.9167 | 0.6269 | 0.9167 | 0.9574 |
| No log | 38.75 | 310 | 0.8900 | 0.6370 | 0.8900 | 0.9434 |
| No log | 39.0 | 312 | 0.8143 | 0.6812 | 0.8143 | 0.9024 |
| No log | 39.25 | 314 | 0.7783 | 0.6812 | 0.7783 | 0.8822 |
| No log | 39.5 | 316 | 0.8228 | 0.6846 | 0.8228 | 0.9071 |
| No log | 39.75 | 318 | 0.8702 | 0.675 | 0.8702 | 0.9328 |
| No log | 40.0 | 320 | 0.8211 | 0.6839 | 0.8211 | 0.9061 |
| No log | 40.25 | 322 | 0.7526 | 0.7183 | 0.7526 | 0.8675 |
| No log | 40.5 | 324 | 0.7235 | 0.6950 | 0.7235 | 0.8506 |
| No log | 40.75 | 326 | 0.7397 | 0.7273 | 0.7397 | 0.8601 |
| No log | 41.0 | 328 | 0.8023 | 0.7059 | 0.8023 | 0.8957 |
| No log | 41.25 | 330 | 0.8483 | 0.6946 | 0.8483 | 0.9210 |
| No log | 41.5 | 332 | 0.9367 | 0.6784 | 0.9367 | 0.9678 |
| No log | 41.75 | 334 | 0.9445 | 0.6744 | 0.9445 | 0.9718 |
| No log | 42.0 | 336 | 0.8601 | 0.6977 | 0.8601 | 0.9274 |
| No log | 42.25 | 338 | 0.8004 | 0.7125 | 0.8004 | 0.8946 |
| No log | 42.5 | 340 | 0.8164 | 0.6797 | 0.8164 | 0.9035 |
| No log | 42.75 | 342 | 0.8745 | 0.6667 | 0.8745 | 0.9352 |
| No log | 43.0 | 344 | 0.9237 | 0.6014 | 0.9237 | 0.9611 |
| No log | 43.25 | 346 | 0.9099 | 0.6119 | 0.9099 | 0.9539 |
| No log | 43.5 | 348 | 0.8754 | 0.6119 | 0.8754 | 0.9356 |
| No log | 43.75 | 350 | 0.8705 | 0.6119 | 0.8705 | 0.9330 |
| No log | 44.0 | 352 | 0.8758 | 0.6269 | 0.8758 | 0.9358 |
| No log | 44.25 | 354 | 0.8529 | 0.6222 | 0.8529 | 0.9235 |
| No log | 44.5 | 356 | 0.8269 | 0.6806 | 0.8269 | 0.9093 |
| No log | 44.75 | 358 | 0.8254 | 0.6939 | 0.8254 | 0.9085 |
| No log | 45.0 | 360 | 0.8846 | 0.6538 | 0.8846 | 0.9405 |
| No log | 45.25 | 362 | 0.9899 | 0.6786 | 0.9899 | 0.9949 |
| No log | 45.5 | 364 | 1.0318 | 0.6587 | 1.0318 | 1.0158 |
| No log | 45.75 | 366 | 0.9882 | 0.6040 | 0.9882 | 0.9941 |
| No log | 46.0 | 368 | 0.9402 | 0.6759 | 0.9402 | 0.9696 |
| No log | 46.25 | 370 | 0.9150 | 0.6377 | 0.9150 | 0.9565 |
| No log | 46.5 | 372 | 0.9085 | 0.6377 | 0.9085 | 0.9532 |
| No log | 46.75 | 374 | 0.8812 | 0.7092 | 0.8812 | 0.9387 |
| No log | 47.0 | 376 | 0.8818 | 0.6277 | 0.8818 | 0.9391 |
| No log | 47.25 | 378 | 0.9066 | 0.6667 | 0.9066 | 0.9521 |
| No log | 47.5 | 380 | 0.9041 | 0.6667 | 0.9041 | 0.9508 |
| No log | 47.75 | 382 | 0.8372 | 0.6761 | 0.8372 | 0.9150 |
| No log | 48.0 | 384 | 0.7824 | 0.6471 | 0.7824 | 0.8845 |
| No log | 48.25 | 386 | 0.7885 | 0.6619 | 0.7885 | 0.8880 |
| No log | 48.5 | 388 | 0.8313 | 0.6759 | 0.8313 | 0.9117 |
| No log | 48.75 | 390 | 0.8372 | 0.6755 | 0.8372 | 0.9150 |
| No log | 49.0 | 392 | 0.8354 | 0.6792 | 0.8354 | 0.9140 |
| No log | 49.25 | 394 | 0.8954 | 0.6988 | 0.8954 | 0.9463 |
| No log | 49.5 | 396 | 0.8932 | 0.6909 | 0.8932 | 0.9451 |
| No log | 49.75 | 398 | 0.8389 | 0.6623 | 0.8389 | 0.9159 |
| No log | 50.0 | 400 | 0.8227 | 0.6806 | 0.8227 | 0.9070 |
| No log | 50.25 | 402 | 0.8370 | 0.6571 | 0.8370 | 0.9149 |
| No log | 50.5 | 404 | 0.8589 | 0.6809 | 0.8589 | 0.9268 |
| No log | 50.75 | 406 | 0.8835 | 0.6377 | 0.8835 | 0.9400 |
| No log | 51.0 | 408 | 0.9106 | 0.6241 | 0.9106 | 0.9542 |
| No log | 51.25 | 410 | 0.9342 | 0.6143 | 0.9342 | 0.9665 |
| No log | 51.5 | 412 | 0.9240 | 0.6377 | 0.9240 | 0.9612 |
| No log | 51.75 | 414 | 0.9043 | 0.6370 | 0.9043 | 0.9510 |
| No log | 52.0 | 416 | 0.8928 | 0.6370 | 0.8928 | 0.9449 |
| No log | 52.25 | 418 | 0.8829 | 0.6377 | 0.8829 | 0.9396 |
| No log | 52.5 | 420 | 0.9106 | 0.6497 | 0.9106 | 0.9543 |
| No log | 52.75 | 422 | 0.9066 | 0.6541 | 0.9066 | 0.9521 |
| No log | 53.0 | 424 | 0.8735 | 0.6625 | 0.8735 | 0.9346 |
| No log | 53.25 | 426 | 0.8244 | 0.7125 | 0.8244 | 0.9080 |
| No log | 53.5 | 428 | 0.8313 | 0.7125 | 0.8313 | 0.9118 |
| No log | 53.75 | 430 | 0.8625 | 0.6918 | 0.8625 | 0.9287 |
| No log | 54.0 | 432 | 0.8686 | 0.6795 | 0.8686 | 0.9320 |
| No log | 54.25 | 434 | 0.8380 | 0.6525 | 0.8380 | 0.9154 |
| No log | 54.5 | 436 | 0.8240 | 0.6812 | 0.8240 | 0.9077 |
| No log | 54.75 | 438 | 0.8262 | 0.6765 | 0.8262 | 0.9089 |
| No log | 55.0 | 440 | 0.8516 | 0.6812 | 0.8516 | 0.9228 |
| No log | 55.25 | 442 | 0.9069 | 0.6619 | 0.9069 | 0.9523 |
| No log | 55.5 | 444 | 0.9401 | 0.6383 | 0.9401 | 0.9696 |
| No log | 55.75 | 446 | 0.9196 | 0.6619 | 0.9196 | 0.9590 |
| No log | 56.0 | 448 | 0.8690 | 0.6618 | 0.8690 | 0.9322 |
| No log | 56.25 | 450 | 0.8100 | 0.6906 | 0.8100 | 0.9000 |
| No log | 56.5 | 452 | 0.7858 | 0.7 | 0.7858 | 0.8865 |
| No log | 56.75 | 454 | 0.7827 | 0.6993 | 0.7827 | 0.8847 |
| No log | 57.0 | 456 | 0.8038 | 0.7034 | 0.8038 | 0.8965 |
| No log | 57.25 | 458 | 0.8494 | 0.6624 | 0.8494 | 0.9216 |
| No log | 57.5 | 460 | 0.8557 | 0.6625 | 0.8557 | 0.9250 |
| No log | 57.75 | 462 | 0.8148 | 0.6962 | 0.8148 | 0.9027 |
| No log | 58.0 | 464 | 0.7878 | 0.7013 | 0.7878 | 0.8876 |
| No log | 58.25 | 466 | 0.7784 | 0.7059 | 0.7784 | 0.8823 |
| No log | 58.5 | 468 | 0.7566 | 0.7083 | 0.7566 | 0.8698 |
| No log | 58.75 | 470 | 0.7536 | 0.7083 | 0.7536 | 0.8681 |
| No log | 59.0 | 472 | 0.7646 | 0.7083 | 0.7646 | 0.8744 |
| No log | 59.25 | 474 | 0.7964 | 0.6846 | 0.7964 | 0.8924 |
| No log | 59.5 | 476 | 0.8370 | 0.6667 | 0.8370 | 0.9149 |
| No log | 59.75 | 478 | 0.8531 | 0.6623 | 0.8531 | 0.9237 |
| No log | 60.0 | 480 | 0.8390 | 0.6525 | 0.8390 | 0.9160 |
| No log | 60.25 | 482 | 0.8144 | 0.6765 | 0.8144 | 0.9024 |
| No log | 60.5 | 484 | 0.8191 | 0.6765 | 0.8191 | 0.9050 |
| No log | 60.75 | 486 | 0.8457 | 0.6667 | 0.8457 | 0.9196 |
| No log | 61.0 | 488 | 0.9106 | 0.6497 | 0.9106 | 0.9543 |
| No log | 61.25 | 490 | 0.9652 | 0.6748 | 0.9652 | 0.9825 |
| No log | 61.5 | 492 | 0.9729 | 0.6748 | 0.9729 | 0.9864 |
| No log | 61.75 | 494 | 0.9705 | 0.6748 | 0.9705 | 0.9851 |
| No log | 62.0 | 496 | 0.9191 | 0.6541 | 0.9191 | 0.9587 |
| No log | 62.25 | 498 | 0.8433 | 0.6667 | 0.8433 | 0.9183 |
| 0.3138 | 62.5 | 500 | 0.7819 | 0.6861 | 0.7819 | 0.8843 |
| 0.3138 | 62.75 | 502 | 0.7713 | 0.7050 | 0.7713 | 0.8782 |
| 0.3138 | 63.0 | 504 | 0.7653 | 0.7050 | 0.7653 | 0.8748 |
| 0.3138 | 63.25 | 506 | 0.7631 | 0.6861 | 0.7631 | 0.8735 |
| 0.3138 | 63.5 | 508 | 0.7885 | 0.6763 | 0.7885 | 0.8880 |
| 0.3138 | 63.75 | 510 | 0.8295 | 0.6338 | 0.8295 | 0.9108 |
| 0.3138 | 64.0 | 512 | 0.8539 | 0.6447 | 0.8539 | 0.9241 |
| 0.3138 | 64.25 | 514 | 0.8396 | 0.6619 | 0.8396 | 0.9163 |
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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k1_task1_organization
Base model
aubmindlab/bert-base-arabertv02