ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_task7_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: 0.7188
- Qwk: 0.2609
- Mse: 0.7188
- Rmse: 0.8478
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 | 0.0328 | 2 | 2.5138 | -0.0593 | 2.5138 | 1.5855 |
| No log | 0.0656 | 4 | 1.2007 | 0.1910 | 1.2007 | 1.0958 |
| No log | 0.0984 | 6 | 1.1381 | -0.2238 | 1.1381 | 1.0668 |
| No log | 0.1311 | 8 | 1.4513 | -0.2523 | 1.4513 | 1.2047 |
| No log | 0.1639 | 10 | 1.3730 | -0.2682 | 1.3730 | 1.1717 |
| No log | 0.1967 | 12 | 1.2567 | -0.1242 | 1.2567 | 1.1210 |
| No log | 0.2295 | 14 | 1.1562 | -0.1336 | 1.1562 | 1.0753 |
| No log | 0.2623 | 16 | 1.0523 | -0.1335 | 1.0523 | 1.0258 |
| No log | 0.2951 | 18 | 0.9615 | -0.0426 | 0.9615 | 0.9805 |
| No log | 0.3279 | 20 | 0.9595 | -0.0354 | 0.9595 | 0.9795 |
| No log | 0.3607 | 22 | 0.9936 | -0.0123 | 0.9936 | 0.9968 |
| No log | 0.3934 | 24 | 0.9245 | -0.0173 | 0.9245 | 0.9615 |
| No log | 0.4262 | 26 | 0.8521 | 0.1620 | 0.8521 | 0.9231 |
| No log | 0.4590 | 28 | 0.9186 | 0.0518 | 0.9186 | 0.9584 |
| No log | 0.4918 | 30 | 1.0713 | 0.1259 | 1.0713 | 1.0350 |
| No log | 0.5246 | 32 | 1.0056 | 0.1225 | 1.0056 | 1.0028 |
| No log | 0.5574 | 34 | 0.9449 | 0.1228 | 0.9449 | 0.9721 |
| No log | 0.5902 | 36 | 0.8093 | 0.2226 | 0.8093 | 0.8996 |
| No log | 0.6230 | 38 | 0.7159 | 0.2486 | 0.7159 | 0.8461 |
| No log | 0.6557 | 40 | 0.7326 | 0.1232 | 0.7326 | 0.8559 |
| No log | 0.6885 | 42 | 0.7639 | 0.1232 | 0.7639 | 0.8740 |
| No log | 0.7213 | 44 | 0.8214 | 0.1604 | 0.8214 | 0.9063 |
| No log | 0.7541 | 46 | 0.8788 | 0.1904 | 0.8788 | 0.9375 |
| No log | 0.7869 | 48 | 0.9109 | 0.2447 | 0.9109 | 0.9544 |
| No log | 0.8197 | 50 | 0.9183 | 0.2386 | 0.9183 | 0.9583 |
| No log | 0.8525 | 52 | 0.9568 | 0.2264 | 0.9568 | 0.9782 |
| No log | 0.8852 | 54 | 0.9807 | 0.0925 | 0.9807 | 0.9903 |
| No log | 0.9180 | 56 | 1.0102 | 0.1323 | 1.0102 | 1.0051 |
| No log | 0.9508 | 58 | 1.0825 | 0.1304 | 1.0825 | 1.0404 |
| No log | 0.9836 | 60 | 0.9731 | 0.1352 | 0.9731 | 0.9865 |
| No log | 1.0164 | 62 | 0.8875 | -0.0079 | 0.8875 | 0.9421 |
| No log | 1.0492 | 64 | 0.9524 | 0.0448 | 0.9524 | 0.9759 |
| No log | 1.0820 | 66 | 0.9303 | 0.0208 | 0.9303 | 0.9645 |
| No log | 1.1148 | 68 | 0.9806 | 0.0898 | 0.9806 | 0.9902 |
| No log | 1.1475 | 70 | 1.0462 | -0.1015 | 1.0462 | 1.0229 |
| No log | 1.1803 | 72 | 0.9861 | 0.1228 | 0.9861 | 0.9930 |
| No log | 1.2131 | 74 | 0.9795 | 0.0764 | 0.9795 | 0.9897 |
| No log | 1.2459 | 76 | 0.9832 | 0.1009 | 0.9832 | 0.9916 |
| No log | 1.2787 | 78 | 1.0245 | 0.0022 | 1.0245 | 1.0122 |
| No log | 1.3115 | 80 | 1.1186 | -0.0797 | 1.1186 | 1.0577 |
| No log | 1.3443 | 82 | 1.1033 | -0.0438 | 1.1033 | 1.0504 |
| No log | 1.3770 | 84 | 0.9289 | -0.0025 | 0.9289 | 0.9638 |
| No log | 1.4098 | 86 | 0.9569 | 0.1373 | 0.9569 | 0.9782 |
| No log | 1.4426 | 88 | 1.0567 | 0.1145 | 1.0567 | 1.0279 |
| No log | 1.4754 | 90 | 1.0414 | 0.0924 | 1.0414 | 1.0205 |
| No log | 1.5082 | 92 | 0.9923 | -0.1004 | 0.9923 | 0.9962 |
| No log | 1.5410 | 94 | 1.0407 | -0.0853 | 1.0407 | 1.0201 |
| No log | 1.5738 | 96 | 1.0776 | 0.0513 | 1.0776 | 1.0381 |
| No log | 1.6066 | 98 | 1.1861 | 0.1014 | 1.1861 | 1.0891 |
| No log | 1.6393 | 100 | 1.1690 | 0.0379 | 1.1690 | 1.0812 |
| No log | 1.6721 | 102 | 1.0521 | 0.0774 | 1.0521 | 1.0257 |
| No log | 1.7049 | 104 | 0.9502 | 0.1256 | 0.9502 | 0.9748 |
| No log | 1.7377 | 106 | 0.9747 | -0.0550 | 0.9747 | 0.9873 |
| No log | 1.7705 | 108 | 1.0608 | -0.0368 | 1.0608 | 1.0299 |
| No log | 1.8033 | 110 | 1.0490 | -0.0368 | 1.0490 | 1.0242 |
| No log | 1.8361 | 112 | 0.9503 | 0.0802 | 0.9503 | 0.9749 |
| No log | 1.8689 | 114 | 0.9153 | 0.1012 | 0.9153 | 0.9567 |
| No log | 1.9016 | 116 | 0.9221 | 0.0975 | 0.9221 | 0.9603 |
| No log | 1.9344 | 118 | 0.9332 | 0.1361 | 0.9332 | 0.9660 |
| No log | 1.9672 | 120 | 0.9694 | 0.0483 | 0.9694 | 0.9846 |
| No log | 2.0 | 122 | 0.9559 | 0.0518 | 0.9559 | 0.9777 |
| No log | 2.0328 | 124 | 1.0383 | 0.0540 | 1.0383 | 1.0190 |
| No log | 2.0656 | 126 | 1.0442 | 0.0172 | 1.0442 | 1.0219 |
| No log | 2.0984 | 128 | 1.0765 | 0.1100 | 1.0765 | 1.0376 |
| No log | 2.1311 | 130 | 1.1738 | 0.1693 | 1.1738 | 1.0834 |
| No log | 2.1639 | 132 | 1.2534 | 0.0830 | 1.2534 | 1.1195 |
| No log | 2.1967 | 134 | 1.5033 | -0.1207 | 1.5033 | 1.2261 |
| No log | 2.2295 | 136 | 1.5694 | -0.0853 | 1.5694 | 1.2528 |
| No log | 2.2623 | 138 | 1.2705 | -0.0882 | 1.2705 | 1.1272 |
| No log | 2.2951 | 140 | 1.0973 | 0.1464 | 1.0973 | 1.0475 |
| No log | 2.3279 | 142 | 1.1498 | 0.1448 | 1.1498 | 1.0723 |
| No log | 2.3607 | 144 | 1.0727 | 0.1368 | 1.0727 | 1.0357 |
| No log | 2.3934 | 146 | 0.9449 | 0.0200 | 0.9449 | 0.9721 |
| No log | 2.4262 | 148 | 0.9167 | 0.1212 | 0.9167 | 0.9574 |
| No log | 2.4590 | 150 | 1.0105 | -0.0123 | 1.0105 | 1.0053 |
| No log | 2.4918 | 152 | 1.0537 | 0.0214 | 1.0537 | 1.0265 |
| No log | 2.5246 | 154 | 0.9875 | 0.1511 | 0.9875 | 0.9937 |
| No log | 2.5574 | 156 | 0.9961 | 0.2071 | 0.9961 | 0.9980 |
| No log | 2.5902 | 158 | 1.1000 | 0.1808 | 1.1000 | 1.0488 |
| No log | 2.6230 | 160 | 1.0504 | 0.1900 | 1.0504 | 1.0249 |
| No log | 2.6557 | 162 | 0.9904 | 0.0954 | 0.9904 | 0.9952 |
| No log | 2.6885 | 164 | 1.1195 | 0.0885 | 1.1195 | 1.0581 |
| No log | 2.7213 | 166 | 1.1348 | 0.0041 | 1.1348 | 1.0653 |
| No log | 2.7541 | 168 | 0.9617 | 0.0890 | 0.9617 | 0.9806 |
| No log | 2.7869 | 170 | 0.8580 | 0.1697 | 0.8580 | 0.9263 |
| No log | 2.8197 | 172 | 0.9903 | 0.1946 | 0.9903 | 0.9951 |
| No log | 2.8525 | 174 | 1.0453 | 0.1682 | 1.0453 | 1.0224 |
| No log | 2.8852 | 176 | 0.9288 | 0.2414 | 0.9288 | 0.9637 |
| No log | 2.9180 | 178 | 0.8509 | 0.1569 | 0.8509 | 0.9224 |
| No log | 2.9508 | 180 | 0.9495 | 0.1294 | 0.9495 | 0.9744 |
| No log | 2.9836 | 182 | 0.9725 | 0.0529 | 0.9725 | 0.9861 |
| No log | 3.0164 | 184 | 0.9040 | 0.1091 | 0.9040 | 0.9508 |
| No log | 3.0492 | 186 | 0.9289 | 0.2471 | 0.9289 | 0.9638 |
| No log | 3.0820 | 188 | 1.0289 | 0.2059 | 1.0289 | 1.0144 |
| No log | 3.1148 | 190 | 1.0156 | 0.2781 | 1.0156 | 1.0078 |
| No log | 3.1475 | 192 | 0.8899 | 0.2419 | 0.8899 | 0.9433 |
| No log | 3.1803 | 194 | 0.8470 | 0.2126 | 0.8470 | 0.9203 |
| No log | 3.2131 | 196 | 0.9015 | 0.1089 | 0.9015 | 0.9495 |
| No log | 3.2459 | 198 | 0.9267 | 0.1828 | 0.9267 | 0.9627 |
| No log | 3.2787 | 200 | 0.8567 | 0.2325 | 0.8567 | 0.9256 |
| No log | 3.3115 | 202 | 0.8617 | 0.2914 | 0.8617 | 0.9283 |
| No log | 3.3443 | 204 | 0.8611 | 0.3350 | 0.8611 | 0.9280 |
| No log | 3.3770 | 206 | 0.8477 | 0.2482 | 0.8477 | 0.9207 |
| No log | 3.4098 | 208 | 0.8755 | 0.1729 | 0.8755 | 0.9357 |
| No log | 3.4426 | 210 | 0.8656 | 0.1951 | 0.8656 | 0.9304 |
| No log | 3.4754 | 212 | 0.8530 | 0.1951 | 0.8530 | 0.9236 |
| No log | 3.5082 | 214 | 0.8206 | 0.2775 | 0.8206 | 0.9059 |
| No log | 3.5410 | 216 | 0.7934 | 0.2479 | 0.7934 | 0.8908 |
| No log | 3.5738 | 218 | 0.7737 | 0.2256 | 0.7737 | 0.8796 |
| No log | 3.6066 | 220 | 0.7704 | 0.1970 | 0.7704 | 0.8777 |
| No log | 3.6393 | 222 | 0.7650 | 0.2947 | 0.7650 | 0.8746 |
| No log | 3.6721 | 224 | 0.7793 | 0.2264 | 0.7793 | 0.8828 |
| No log | 3.7049 | 226 | 0.8057 | 0.1558 | 0.8057 | 0.8976 |
| No log | 3.7377 | 228 | 0.7960 | 0.2264 | 0.7960 | 0.8922 |
| No log | 3.7705 | 230 | 0.8091 | 0.2553 | 0.8091 | 0.8995 |
| No log | 3.8033 | 232 | 0.8321 | 0.2694 | 0.8321 | 0.9122 |
| No log | 3.8361 | 234 | 0.8256 | 0.2720 | 0.8256 | 0.9086 |
| No log | 3.8689 | 236 | 0.8599 | 0.2429 | 0.8599 | 0.9273 |
| No log | 3.9016 | 238 | 0.8984 | 0.2130 | 0.8984 | 0.9479 |
| No log | 3.9344 | 240 | 0.8478 | 0.1695 | 0.8478 | 0.9208 |
| No log | 3.9672 | 242 | 0.8710 | 0.3207 | 0.8710 | 0.9333 |
| No log | 4.0 | 244 | 1.0144 | 0.3294 | 1.0144 | 1.0072 |
| No log | 4.0328 | 246 | 0.9797 | 0.3632 | 0.9797 | 0.9898 |
| No log | 4.0656 | 248 | 0.8191 | 0.2968 | 0.8191 | 0.9051 |
| No log | 4.0984 | 250 | 0.7475 | 0.2965 | 0.7475 | 0.8646 |
| No log | 4.1311 | 252 | 0.7737 | 0.3273 | 0.7737 | 0.8796 |
| No log | 4.1639 | 254 | 0.7624 | 0.3273 | 0.7624 | 0.8731 |
| No log | 4.1967 | 256 | 0.7372 | 0.1649 | 0.7372 | 0.8586 |
| No log | 4.2295 | 258 | 0.7652 | 0.2605 | 0.7652 | 0.8747 |
| No log | 4.2623 | 260 | 0.7646 | 0.2605 | 0.7646 | 0.8744 |
| No log | 4.2951 | 262 | 0.7402 | 0.2980 | 0.7402 | 0.8604 |
| No log | 4.3279 | 264 | 0.7116 | 0.3380 | 0.7116 | 0.8435 |
| No log | 4.3607 | 266 | 0.7005 | 0.3808 | 0.7005 | 0.8370 |
| No log | 4.3934 | 268 | 0.6984 | 0.4101 | 0.6984 | 0.8357 |
| No log | 4.4262 | 270 | 0.6959 | 0.3481 | 0.6959 | 0.8342 |
| No log | 4.4590 | 272 | 0.6833 | 0.4217 | 0.6833 | 0.8266 |
| No log | 4.4918 | 274 | 0.6696 | 0.3811 | 0.6696 | 0.8183 |
| No log | 4.5246 | 276 | 0.6639 | 0.3703 | 0.6639 | 0.8148 |
| No log | 4.5574 | 278 | 0.7095 | 0.2611 | 0.7095 | 0.8423 |
| No log | 4.5902 | 280 | 0.7292 | 0.2581 | 0.7292 | 0.8540 |
| No log | 4.6230 | 282 | 0.6727 | 0.2979 | 0.6727 | 0.8202 |
| No log | 4.6557 | 284 | 0.6958 | 0.2777 | 0.6958 | 0.8341 |
| No log | 4.6885 | 286 | 0.8826 | 0.4026 | 0.8826 | 0.9395 |
| No log | 4.7213 | 288 | 1.0118 | 0.4305 | 1.0118 | 1.0059 |
| No log | 4.7541 | 290 | 0.9081 | 0.3709 | 0.9081 | 0.9529 |
| No log | 4.7869 | 292 | 0.7853 | 0.2607 | 0.7853 | 0.8862 |
| No log | 4.8197 | 294 | 1.0320 | 0.2063 | 1.0320 | 1.0159 |
| No log | 4.8525 | 296 | 1.2654 | 0.0707 | 1.2654 | 1.1249 |
| No log | 4.8852 | 298 | 1.1967 | -0.0141 | 1.1967 | 1.0939 |
| No log | 4.9180 | 300 | 0.9861 | 0.0936 | 0.9861 | 0.9930 |
| No log | 4.9508 | 302 | 0.8036 | 0.1979 | 0.8036 | 0.8964 |
| No log | 4.9836 | 304 | 0.7791 | 0.1902 | 0.7791 | 0.8827 |
| No log | 5.0164 | 306 | 0.8194 | 0.2171 | 0.8194 | 0.9052 |
| No log | 5.0492 | 308 | 0.8203 | 0.1820 | 0.8203 | 0.9057 |
| No log | 5.0820 | 310 | 0.8045 | 0.2152 | 0.8045 | 0.8969 |
| No log | 5.1148 | 312 | 0.8379 | 0.1857 | 0.8379 | 0.9153 |
| No log | 5.1475 | 314 | 0.8774 | 0.1828 | 0.8774 | 0.9367 |
| No log | 5.1803 | 316 | 0.8463 | 0.1419 | 0.8463 | 0.9199 |
| No log | 5.2131 | 318 | 0.8306 | 0.2857 | 0.8306 | 0.9114 |
| No log | 5.2459 | 320 | 0.8562 | 0.2857 | 0.8562 | 0.9253 |
| No log | 5.2787 | 322 | 0.8297 | 0.2605 | 0.8297 | 0.9109 |
| No log | 5.3115 | 324 | 0.7590 | 0.3160 | 0.7590 | 0.8712 |
| No log | 5.3443 | 326 | 0.7868 | 0.2283 | 0.7868 | 0.8870 |
| No log | 5.3770 | 328 | 0.8669 | 0.1281 | 0.8669 | 0.9311 |
| No log | 5.4098 | 330 | 0.8447 | 0.1281 | 0.8447 | 0.9191 |
| No log | 5.4426 | 332 | 0.7826 | 0.2249 | 0.7826 | 0.8847 |
| No log | 5.4754 | 334 | 0.8065 | 0.2040 | 0.8065 | 0.8980 |
| No log | 5.5082 | 336 | 0.8909 | 0.3060 | 0.8909 | 0.9439 |
| No log | 5.5410 | 338 | 0.9166 | 0.3173 | 0.9166 | 0.9574 |
| No log | 5.5738 | 340 | 0.9358 | 0.3611 | 0.9358 | 0.9673 |
| No log | 5.6066 | 342 | 0.9357 | 0.2531 | 0.9357 | 0.9673 |
| No log | 5.6393 | 344 | 0.9702 | 0.1421 | 0.9702 | 0.9850 |
| No log | 5.6721 | 346 | 1.0812 | 0.2665 | 1.0812 | 1.0398 |
| No log | 5.7049 | 348 | 1.1310 | 0.2273 | 1.1310 | 1.0635 |
| No log | 5.7377 | 350 | 1.0385 | 0.1360 | 1.0385 | 1.0191 |
| No log | 5.7705 | 352 | 0.9129 | 0.1690 | 0.9129 | 0.9554 |
| No log | 5.8033 | 354 | 0.9020 | 0.2481 | 0.9020 | 0.9497 |
| No log | 5.8361 | 356 | 0.8888 | 0.2481 | 0.8888 | 0.9428 |
| No log | 5.8689 | 358 | 0.8767 | 0.2661 | 0.8767 | 0.9363 |
| No log | 5.9016 | 360 | 0.8674 | 0.2566 | 0.8674 | 0.9313 |
| No log | 5.9344 | 362 | 0.8712 | 0.1705 | 0.8712 | 0.9334 |
| No log | 5.9672 | 364 | 0.8546 | 0.1729 | 0.8546 | 0.9244 |
| No log | 6.0 | 366 | 0.8446 | 0.1397 | 0.8446 | 0.9190 |
| No log | 6.0328 | 368 | 0.8678 | 0.1356 | 0.8678 | 0.9315 |
| No log | 6.0656 | 370 | 0.8778 | 0.1606 | 0.8778 | 0.9369 |
| No log | 6.0984 | 372 | 0.8972 | 0.0982 | 0.8972 | 0.9472 |
| No log | 6.1311 | 374 | 0.9082 | 0.1356 | 0.9082 | 0.9530 |
| No log | 6.1639 | 376 | 0.9066 | 0.1397 | 0.9066 | 0.9522 |
| No log | 6.1967 | 378 | 0.8769 | 0.0982 | 0.8769 | 0.9364 |
| No log | 6.2295 | 380 | 0.8724 | 0.1592 | 0.8724 | 0.9340 |
| No log | 6.2623 | 382 | 0.8638 | 0.2424 | 0.8638 | 0.9294 |
| No log | 6.2951 | 384 | 0.8504 | 0.0623 | 0.8504 | 0.9222 |
| No log | 6.3279 | 386 | 0.8477 | 0.1052 | 0.8477 | 0.9207 |
| No log | 6.3607 | 388 | 0.8457 | 0.1052 | 0.8457 | 0.9196 |
| No log | 6.3934 | 390 | 0.8351 | 0.0909 | 0.8351 | 0.9138 |
| No log | 6.4262 | 392 | 0.8297 | 0.0912 | 0.8297 | 0.9109 |
| No log | 6.4590 | 394 | 0.8191 | 0.2085 | 0.8191 | 0.9051 |
| No log | 6.4918 | 396 | 0.8121 | 0.2488 | 0.8121 | 0.9012 |
| No log | 6.5246 | 398 | 0.8343 | 0.2488 | 0.8343 | 0.9134 |
| No log | 6.5574 | 400 | 0.8109 | 0.2034 | 0.8109 | 0.9005 |
| No log | 6.5902 | 402 | 0.7789 | 0.2172 | 0.7789 | 0.8826 |
| No log | 6.6230 | 404 | 0.7616 | 0.3042 | 0.7616 | 0.8727 |
| No log | 6.6557 | 406 | 0.7275 | 0.3336 | 0.7275 | 0.8529 |
| No log | 6.6885 | 408 | 0.7438 | 0.2274 | 0.7438 | 0.8624 |
| No log | 6.7213 | 410 | 0.7289 | 0.2578 | 0.7289 | 0.8538 |
| No log | 6.7541 | 412 | 0.7058 | 0.3293 | 0.7058 | 0.8401 |
| No log | 6.7869 | 414 | 0.6921 | 0.3837 | 0.6921 | 0.8319 |
| No log | 6.8197 | 416 | 0.6710 | 0.3336 | 0.6710 | 0.8191 |
| No log | 6.8525 | 418 | 0.7082 | 0.4118 | 0.7082 | 0.8416 |
| No log | 6.8852 | 420 | 0.7684 | 0.3180 | 0.7684 | 0.8766 |
| No log | 6.9180 | 422 | 0.7745 | 0.3276 | 0.7745 | 0.8801 |
| No log | 6.9508 | 424 | 0.7206 | 0.2642 | 0.7206 | 0.8489 |
| No log | 6.9836 | 426 | 0.6913 | 0.3129 | 0.6913 | 0.8315 |
| No log | 7.0164 | 428 | 0.6945 | 0.3129 | 0.6944 | 0.8333 |
| No log | 7.0492 | 430 | 0.7472 | 0.2835 | 0.7472 | 0.8644 |
| No log | 7.0820 | 432 | 0.7859 | 0.2549 | 0.7859 | 0.8865 |
| No log | 7.1148 | 434 | 0.7584 | 0.2342 | 0.7584 | 0.8709 |
| No log | 7.1475 | 436 | 0.7685 | 0.2526 | 0.7685 | 0.8767 |
| No log | 7.1803 | 438 | 0.7700 | 0.3512 | 0.7700 | 0.8775 |
| No log | 7.2131 | 440 | 0.7681 | 0.3186 | 0.7681 | 0.8764 |
| No log | 7.2459 | 442 | 0.7634 | 0.2371 | 0.7634 | 0.8737 |
| No log | 7.2787 | 444 | 0.7469 | 0.2535 | 0.7469 | 0.8642 |
| No log | 7.3115 | 446 | 0.7209 | 0.2713 | 0.7209 | 0.8491 |
| No log | 7.3443 | 448 | 0.7201 | 0.1818 | 0.7201 | 0.8486 |
| No log | 7.3770 | 450 | 0.7190 | 0.1558 | 0.7190 | 0.8479 |
| No log | 7.4098 | 452 | 0.7146 | 0.1529 | 0.7146 | 0.8453 |
| No log | 7.4426 | 454 | 0.7250 | 0.3474 | 0.7250 | 0.8515 |
| No log | 7.4754 | 456 | 0.7364 | 0.3170 | 0.7364 | 0.8582 |
| No log | 7.5082 | 458 | 0.7729 | 0.2488 | 0.7729 | 0.8792 |
| No log | 7.5410 | 460 | 0.8089 | 0.2171 | 0.8089 | 0.8994 |
| No log | 7.5738 | 462 | 0.8200 | 0.2491 | 0.8200 | 0.9056 |
| No log | 7.6066 | 464 | 0.7858 | 0.2085 | 0.7858 | 0.8864 |
| No log | 7.6393 | 466 | 0.7603 | 0.2424 | 0.7603 | 0.8719 |
| No log | 7.6721 | 468 | 0.7502 | 0.2683 | 0.7502 | 0.8662 |
| No log | 7.7049 | 470 | 0.7547 | 0.2684 | 0.7547 | 0.8687 |
| No log | 7.7377 | 472 | 0.7495 | 0.2310 | 0.7495 | 0.8657 |
| No log | 7.7705 | 474 | 0.7909 | 0.2710 | 0.7909 | 0.8893 |
| No log | 7.8033 | 476 | 0.8330 | 0.2681 | 0.8330 | 0.9127 |
| No log | 7.8361 | 478 | 0.8037 | 0.3051 | 0.8037 | 0.8965 |
| No log | 7.8689 | 480 | 0.7901 | 0.1969 | 0.7901 | 0.8889 |
| No log | 7.9016 | 482 | 0.8020 | 0.1522 | 0.8020 | 0.8956 |
| No log | 7.9344 | 484 | 0.8015 | 0.1522 | 0.8015 | 0.8953 |
| No log | 7.9672 | 486 | 0.7872 | 0.2424 | 0.7872 | 0.8872 |
| No log | 8.0 | 488 | 0.7773 | 0.2424 | 0.7773 | 0.8816 |
| No log | 8.0328 | 490 | 0.7687 | 0.2424 | 0.7687 | 0.8768 |
| No log | 8.0656 | 492 | 0.7681 | 0.2451 | 0.7681 | 0.8764 |
| No log | 8.0984 | 494 | 0.8089 | 0.2419 | 0.8089 | 0.8994 |
| No log | 8.1311 | 496 | 0.8151 | 0.2947 | 0.8151 | 0.9028 |
| No log | 8.1639 | 498 | 0.7960 | 0.3225 | 0.7960 | 0.8922 |
| 0.3696 | 8.1967 | 500 | 0.7964 | 0.3225 | 0.7964 | 0.8924 |
| 0.3696 | 8.2295 | 502 | 0.8069 | 0.2947 | 0.8069 | 0.8983 |
| 0.3696 | 8.2623 | 504 | 0.8439 | 0.2127 | 0.8439 | 0.9186 |
| 0.3696 | 8.2951 | 506 | 0.8138 | 0.2474 | 0.8138 | 0.9021 |
| 0.3696 | 8.3279 | 508 | 0.7472 | 0.2747 | 0.7472 | 0.8644 |
| 0.3696 | 8.3607 | 510 | 0.7188 | 0.2609 | 0.7188 | 0.8478 |
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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k18_task7_organization
Base model
aubmindlab/bert-base-arabertv02