ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k8_task3_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: 0.9081
- Qwk: 0.0670
- Mse: 0.9081
- Rmse: 0.9529
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 | 0.0488 | 2 | 3.8651 | 0.0104 | 3.8651 | 1.9660 |
No log | 0.0976 | 4 | 2.1298 | 0.0213 | 2.1298 | 1.4594 |
No log | 0.1463 | 6 | 1.2484 | 0.0 | 1.2484 | 1.1173 |
No log | 0.1951 | 8 | 1.1012 | -0.0720 | 1.1012 | 1.0494 |
No log | 0.2439 | 10 | 0.7365 | 0.0460 | 0.7365 | 0.8582 |
No log | 0.2927 | 12 | 0.7494 | -0.0101 | 0.7494 | 0.8657 |
No log | 0.3415 | 14 | 0.7442 | -0.0662 | 0.7442 | 0.8627 |
No log | 0.3902 | 16 | 1.0377 | -0.0686 | 1.0377 | 1.0187 |
No log | 0.4390 | 18 | 1.6287 | 0.0172 | 1.6287 | 1.2762 |
No log | 0.4878 | 20 | 1.5361 | 0.0172 | 1.5361 | 1.2394 |
No log | 0.5366 | 22 | 1.0249 | -0.0117 | 1.0249 | 1.0124 |
No log | 0.5854 | 24 | 0.8673 | 0.0486 | 0.8673 | 0.9313 |
No log | 0.6341 | 26 | 0.8726 | 0.1316 | 0.8726 | 0.9341 |
No log | 0.6829 | 28 | 1.2429 | 0.0585 | 1.2429 | 1.1148 |
No log | 0.7317 | 30 | 1.2144 | 0.0852 | 1.2144 | 1.1020 |
No log | 0.7805 | 32 | 1.1029 | 0.0193 | 1.1029 | 1.0502 |
No log | 0.8293 | 34 | 1.1001 | -0.0146 | 1.1001 | 1.0489 |
No log | 0.8780 | 36 | 1.0166 | -0.0746 | 1.0166 | 1.0083 |
No log | 0.9268 | 38 | 0.9808 | -0.0781 | 0.9808 | 0.9904 |
No log | 0.9756 | 40 | 1.0573 | 0.0142 | 1.0573 | 1.0282 |
No log | 1.0244 | 42 | 0.9536 | 0.0042 | 0.9536 | 0.9765 |
No log | 1.0732 | 44 | 0.9885 | 0.0336 | 0.9885 | 0.9942 |
No log | 1.1220 | 46 | 0.8140 | 0.1212 | 0.8140 | 0.9022 |
No log | 1.1707 | 48 | 0.9662 | -0.0927 | 0.9662 | 0.9829 |
No log | 1.2195 | 50 | 0.8738 | 0.0392 | 0.8738 | 0.9348 |
No log | 1.2683 | 52 | 0.7635 | -0.0316 | 0.7635 | 0.8738 |
No log | 1.3171 | 54 | 0.8573 | -0.0355 | 0.8573 | 0.9259 |
No log | 1.3659 | 56 | 0.8222 | -0.0465 | 0.8222 | 0.9068 |
No log | 1.4146 | 58 | 0.9239 | -0.1145 | 0.9239 | 0.9612 |
No log | 1.4634 | 60 | 0.9714 | -0.0497 | 0.9714 | 0.9856 |
No log | 1.5122 | 62 | 0.9861 | 0.1520 | 0.9861 | 0.9930 |
No log | 1.5610 | 64 | 0.9636 | 0.1468 | 0.9636 | 0.9816 |
No log | 1.6098 | 66 | 0.9731 | 0.1341 | 0.9731 | 0.9865 |
No log | 1.6585 | 68 | 0.9271 | 0.1754 | 0.9271 | 0.9629 |
No log | 1.7073 | 70 | 1.0480 | 0.1012 | 1.0480 | 1.0237 |
No log | 1.7561 | 72 | 0.9559 | 0.1309 | 0.9559 | 0.9777 |
No log | 1.8049 | 74 | 0.8245 | 0.0633 | 0.8245 | 0.9080 |
No log | 1.8537 | 76 | 0.8352 | 0.1471 | 0.8352 | 0.9139 |
No log | 1.9024 | 78 | 1.0849 | 0.1013 | 1.0849 | 1.0416 |
No log | 1.9512 | 80 | 1.1001 | 0.1277 | 1.1001 | 1.0489 |
No log | 2.0 | 82 | 1.0098 | 0.0431 | 1.0098 | 1.0049 |
No log | 2.0488 | 84 | 1.0310 | 0.0906 | 1.0310 | 1.0154 |
No log | 2.0976 | 86 | 1.0700 | 0.1013 | 1.0700 | 1.0344 |
No log | 2.1463 | 88 | 1.0058 | 0.1013 | 1.0058 | 1.0029 |
No log | 2.1951 | 90 | 0.8956 | 0.0822 | 0.8956 | 0.9464 |
No log | 2.2439 | 92 | 0.8002 | 0.0449 | 0.8002 | 0.8945 |
No log | 2.2927 | 94 | 0.7716 | -0.0030 | 0.7716 | 0.8784 |
No log | 2.3415 | 96 | 0.7965 | 0.0978 | 0.7965 | 0.8925 |
No log | 2.3902 | 98 | 0.8653 | 0.0930 | 0.8653 | 0.9302 |
No log | 2.4390 | 100 | 0.9427 | -0.1093 | 0.9427 | 0.9709 |
No log | 2.4878 | 102 | 0.9672 | -0.1501 | 0.9672 | 0.9835 |
No log | 2.5366 | 104 | 0.9495 | -0.0164 | 0.9495 | 0.9744 |
No log | 2.5854 | 106 | 0.9484 | -0.0794 | 0.9484 | 0.9738 |
No log | 2.6341 | 108 | 1.0152 | -0.1119 | 1.0152 | 1.0076 |
No log | 2.6829 | 110 | 0.9707 | 0.0178 | 0.9707 | 0.9852 |
No log | 2.7317 | 112 | 1.2795 | -0.0023 | 1.2795 | 1.1311 |
No log | 2.7805 | 114 | 1.0988 | 0.0083 | 1.0988 | 1.0483 |
No log | 2.8293 | 116 | 1.0719 | 0.0775 | 1.0719 | 1.0353 |
No log | 2.8780 | 118 | 1.0085 | 0.0161 | 1.0085 | 1.0042 |
No log | 2.9268 | 120 | 1.0834 | -0.0595 | 1.0834 | 1.0409 |
No log | 2.9756 | 122 | 1.1516 | 0.0542 | 1.1516 | 1.0731 |
No log | 3.0244 | 124 | 0.8849 | 0.0998 | 0.8849 | 0.9407 |
No log | 3.0732 | 126 | 1.0663 | -0.0090 | 1.0663 | 1.0326 |
No log | 3.1220 | 128 | 0.9799 | 0.0363 | 0.9799 | 0.9899 |
No log | 3.1707 | 130 | 0.8397 | 0.1443 | 0.8397 | 0.9163 |
No log | 3.2195 | 132 | 0.9611 | -0.0253 | 0.9611 | 0.9804 |
No log | 3.2683 | 134 | 0.8508 | 0.0617 | 0.8508 | 0.9224 |
No log | 3.3171 | 136 | 0.9441 | 0.0041 | 0.9441 | 0.9717 |
No log | 3.3659 | 138 | 0.8669 | -0.0262 | 0.8669 | 0.9311 |
No log | 3.4146 | 140 | 0.8317 | 0.0030 | 0.8317 | 0.9120 |
No log | 3.4634 | 142 | 0.8919 | -0.0116 | 0.8919 | 0.9444 |
No log | 3.5122 | 144 | 0.8703 | -0.0350 | 0.8703 | 0.9329 |
No log | 3.5610 | 146 | 0.8473 | -0.0118 | 0.8473 | 0.9205 |
No log | 3.6098 | 148 | 0.8859 | -0.0195 | 0.8859 | 0.9412 |
No log | 3.6585 | 150 | 0.8839 | -0.0030 | 0.8839 | 0.9402 |
No log | 3.7073 | 152 | 0.8900 | 0.0058 | 0.8900 | 0.9434 |
No log | 3.7561 | 154 | 0.8931 | -0.1121 | 0.8931 | 0.9450 |
No log | 3.8049 | 156 | 0.8986 | -0.0086 | 0.8986 | 0.9480 |
No log | 3.8537 | 158 | 0.9592 | 0.0307 | 0.9592 | 0.9794 |
No log | 3.9024 | 160 | 0.9539 | -0.1126 | 0.9539 | 0.9767 |
No log | 3.9512 | 162 | 0.9974 | -0.1093 | 0.9974 | 0.9987 |
No log | 4.0 | 164 | 0.9897 | -0.1126 | 0.9897 | 0.9948 |
No log | 4.0488 | 166 | 1.0040 | -0.0470 | 1.0040 | 1.0020 |
No log | 4.0976 | 168 | 0.9774 | -0.0238 | 0.9774 | 0.9886 |
No log | 4.1463 | 170 | 0.8991 | -0.0583 | 0.8991 | 0.9482 |
No log | 4.1951 | 172 | 1.1009 | -0.0877 | 1.1009 | 1.0492 |
No log | 4.2439 | 174 | 1.1482 | -0.0245 | 1.1482 | 1.0715 |
No log | 4.2927 | 176 | 0.8712 | -0.0252 | 0.8712 | 0.9334 |
No log | 4.3415 | 178 | 0.8553 | 0.0528 | 0.8553 | 0.9248 |
No log | 4.3902 | 180 | 1.0396 | -0.0204 | 1.0396 | 1.0196 |
No log | 4.4390 | 182 | 0.9727 | 0.0665 | 0.9727 | 0.9863 |
No log | 4.4878 | 184 | 0.9703 | -0.0643 | 0.9703 | 0.9851 |
No log | 4.5366 | 186 | 0.9934 | -0.0717 | 0.9934 | 0.9967 |
No log | 4.5854 | 188 | 0.8963 | 0.0376 | 0.8963 | 0.9468 |
No log | 4.6341 | 190 | 0.8748 | 0.0248 | 0.8748 | 0.9353 |
No log | 4.6829 | 192 | 0.8617 | -0.0761 | 0.8617 | 0.9283 |
No log | 4.7317 | 194 | 0.7674 | 0.0922 | 0.7674 | 0.8760 |
No log | 4.7805 | 196 | 0.7625 | 0.0414 | 0.7625 | 0.8732 |
No log | 4.8293 | 198 | 0.7710 | 0.0414 | 0.7710 | 0.8781 |
No log | 4.8780 | 200 | 0.8008 | 0.0879 | 0.8008 | 0.8949 |
No log | 4.9268 | 202 | 0.8498 | 0.0633 | 0.8498 | 0.9219 |
No log | 4.9756 | 204 | 0.9241 | 0.1697 | 0.9241 | 0.9613 |
No log | 5.0244 | 206 | 0.9210 | 0.1290 | 0.9210 | 0.9597 |
No log | 5.0732 | 208 | 0.9518 | 0.0113 | 0.9518 | 0.9756 |
No log | 5.1220 | 210 | 0.9437 | 0.0866 | 0.9437 | 0.9714 |
No log | 5.1707 | 212 | 0.9266 | 0.0851 | 0.9266 | 0.9626 |
No log | 5.2195 | 214 | 0.9343 | -0.0322 | 0.9343 | 0.9666 |
No log | 5.2683 | 216 | 0.8440 | 0.0471 | 0.8440 | 0.9187 |
No log | 5.3171 | 218 | 0.8393 | 0.0557 | 0.8393 | 0.9161 |
No log | 5.3659 | 220 | 0.8057 | -0.0032 | 0.8057 | 0.8976 |
No log | 5.4146 | 222 | 0.8507 | -0.0699 | 0.8507 | 0.9223 |
No log | 5.4634 | 224 | 0.8313 | -0.0240 | 0.8313 | 0.9118 |
No log | 5.5122 | 226 | 0.8708 | 0.0664 | 0.8708 | 0.9332 |
No log | 5.5610 | 228 | 1.0088 | -0.0820 | 1.0088 | 1.0044 |
No log | 5.6098 | 230 | 0.8836 | 0.0654 | 0.8836 | 0.9400 |
No log | 5.6585 | 232 | 0.8719 | 0.0574 | 0.8719 | 0.9337 |
No log | 5.7073 | 234 | 0.8645 | 0.0574 | 0.8645 | 0.9298 |
No log | 5.7561 | 236 | 0.8021 | 0.0 | 0.8021 | 0.8956 |
No log | 5.8049 | 238 | 0.9537 | -0.0685 | 0.9537 | 0.9766 |
No log | 5.8537 | 240 | 0.9047 | -0.0442 | 0.9047 | 0.9512 |
No log | 5.9024 | 242 | 0.8147 | -0.0195 | 0.8147 | 0.9026 |
No log | 5.9512 | 244 | 1.2255 | -0.0030 | 1.2255 | 1.1070 |
No log | 6.0 | 246 | 1.3494 | 0.0112 | 1.3494 | 1.1616 |
No log | 6.0488 | 248 | 1.0098 | -0.0157 | 1.0098 | 1.0049 |
No log | 6.0976 | 250 | 0.7877 | 0.0414 | 0.7877 | 0.8875 |
No log | 6.1463 | 252 | 0.8525 | -0.0451 | 0.8525 | 0.9233 |
No log | 6.1951 | 254 | 0.8923 | -0.0551 | 0.8923 | 0.9446 |
No log | 6.2439 | 256 | 0.8020 | -0.0451 | 0.8020 | 0.8955 |
No log | 6.2927 | 258 | 0.8663 | -0.0336 | 0.8663 | 0.9307 |
No log | 6.3415 | 260 | 0.9907 | -0.0870 | 0.9907 | 0.9953 |
No log | 6.3902 | 262 | 0.8991 | -0.0355 | 0.8991 | 0.9482 |
No log | 6.4390 | 264 | 0.8898 | 0.0376 | 0.8898 | 0.9433 |
No log | 6.4878 | 266 | 0.9060 | 0.0883 | 0.9060 | 0.9518 |
No log | 6.5366 | 268 | 0.8491 | 0.0846 | 0.8491 | 0.9215 |
No log | 6.5854 | 270 | 0.8158 | 0.0412 | 0.8158 | 0.9032 |
No log | 6.6341 | 272 | 0.7877 | 0.0922 | 0.7877 | 0.8875 |
No log | 6.6829 | 274 | 0.7793 | 0.0922 | 0.7793 | 0.8828 |
No log | 6.7317 | 276 | 0.7924 | 0.1675 | 0.7924 | 0.8902 |
No log | 6.7805 | 278 | 0.8443 | 0.2078 | 0.8443 | 0.9188 |
No log | 6.8293 | 280 | 0.8587 | 0.0889 | 0.8587 | 0.9267 |
No log | 6.8780 | 282 | 0.8876 | 0.0537 | 0.8876 | 0.9421 |
No log | 6.9268 | 284 | 0.8872 | 0.0441 | 0.8872 | 0.9419 |
No log | 6.9756 | 286 | 0.9035 | 0.1882 | 0.9035 | 0.9505 |
No log | 7.0244 | 288 | 0.8778 | 0.1004 | 0.8778 | 0.9369 |
No log | 7.0732 | 290 | 0.8037 | 0.0874 | 0.8037 | 0.8965 |
No log | 7.1220 | 292 | 0.8300 | 0.0557 | 0.8300 | 0.9110 |
No log | 7.1707 | 294 | 0.7803 | 0.0973 | 0.7803 | 0.8833 |
No log | 7.2195 | 296 | 0.7977 | 0.0680 | 0.7977 | 0.8931 |
No log | 7.2683 | 298 | 0.8179 | 0.0680 | 0.8179 | 0.9044 |
No log | 7.3171 | 300 | 0.8268 | 0.1298 | 0.8268 | 0.9093 |
No log | 7.3659 | 302 | 0.9186 | 0.0248 | 0.9186 | 0.9584 |
No log | 7.4146 | 304 | 0.9516 | -0.0035 | 0.9516 | 0.9755 |
No log | 7.4634 | 306 | 0.8476 | 0.1734 | 0.8476 | 0.9206 |
No log | 7.5122 | 308 | 0.8272 | 0.0214 | 0.8272 | 0.9095 |
No log | 7.5610 | 310 | 0.8001 | 0.0214 | 0.8001 | 0.8945 |
No log | 7.6098 | 312 | 0.7554 | 0.0454 | 0.7554 | 0.8691 |
No log | 7.6585 | 314 | 0.7957 | -0.0449 | 0.7957 | 0.8920 |
No log | 7.7073 | 316 | 0.7832 | 0.0031 | 0.7832 | 0.8850 |
No log | 7.7561 | 318 | 0.7920 | -0.0218 | 0.7920 | 0.8899 |
No log | 7.8049 | 320 | 0.9869 | 0.0224 | 0.9869 | 0.9934 |
No log | 7.8537 | 322 | 1.0158 | 0.0224 | 1.0158 | 1.0079 |
No log | 7.9024 | 324 | 0.8640 | -0.0699 | 0.8640 | 0.9295 |
No log | 7.9512 | 326 | 0.9016 | -0.0180 | 0.9016 | 0.9495 |
No log | 8.0 | 328 | 0.9617 | -0.1236 | 0.9617 | 0.9807 |
No log | 8.0488 | 330 | 0.8587 | -0.0195 | 0.8587 | 0.9267 |
No log | 8.0976 | 332 | 0.7640 | 0.0869 | 0.7640 | 0.8740 |
No log | 8.1463 | 334 | 0.9722 | -0.0163 | 0.9722 | 0.9860 |
No log | 8.1951 | 336 | 1.2178 | 0.0695 | 1.2178 | 1.1035 |
No log | 8.2439 | 338 | 1.1585 | 0.0536 | 1.1585 | 1.0764 |
No log | 8.2927 | 340 | 0.8978 | -0.0441 | 0.8978 | 0.9475 |
No log | 8.3415 | 342 | 0.7403 | 0.1371 | 0.7403 | 0.8604 |
No log | 8.3902 | 344 | 0.8166 | 0.0116 | 0.8166 | 0.9036 |
No log | 8.4390 | 346 | 0.8587 | -0.0949 | 0.8587 | 0.9267 |
No log | 8.4878 | 348 | 0.8136 | 0.0973 | 0.8136 | 0.9020 |
No log | 8.5366 | 350 | 0.7978 | 0.0821 | 0.7978 | 0.8932 |
No log | 8.5854 | 352 | 0.8414 | 0.0956 | 0.8414 | 0.9173 |
No log | 8.6341 | 354 | 0.8151 | 0.1097 | 0.8151 | 0.9028 |
No log | 8.6829 | 356 | 0.7458 | 0.1311 | 0.7458 | 0.8636 |
No log | 8.7317 | 358 | 0.7264 | 0.0821 | 0.7264 | 0.8523 |
No log | 8.7805 | 360 | 0.7510 | 0.0869 | 0.7510 | 0.8666 |
No log | 8.8293 | 362 | 0.7847 | 0.0821 | 0.7847 | 0.8858 |
No log | 8.8780 | 364 | 0.8340 | -0.0218 | 0.8340 | 0.9133 |
No log | 8.9268 | 366 | 0.8621 | 0.0175 | 0.8621 | 0.9285 |
No log | 8.9756 | 368 | 0.8039 | 0.0269 | 0.8039 | 0.8966 |
No log | 9.0244 | 370 | 0.7960 | 0.0987 | 0.7960 | 0.8922 |
No log | 9.0732 | 372 | 0.8310 | -0.0133 | 0.8310 | 0.9116 |
No log | 9.1220 | 374 | 0.7685 | 0.0518 | 0.7685 | 0.8767 |
No log | 9.1707 | 376 | 0.7661 | 0.1347 | 0.7661 | 0.8753 |
No log | 9.2195 | 378 | 0.7933 | 0.0840 | 0.7933 | 0.8907 |
No log | 9.2683 | 380 | 0.8528 | 0.0732 | 0.8528 | 0.9235 |
No log | 9.3171 | 382 | 0.9049 | 0.0456 | 0.9049 | 0.9513 |
No log | 9.3659 | 384 | 0.8319 | 0.1096 | 0.8319 | 0.9121 |
No log | 9.4146 | 386 | 0.7594 | 0.0821 | 0.7594 | 0.8715 |
No log | 9.4634 | 388 | 0.7648 | 0.0973 | 0.7648 | 0.8746 |
No log | 9.5122 | 390 | 0.7555 | 0.0414 | 0.7555 | 0.8692 |
No log | 9.5610 | 392 | 0.7590 | 0.0821 | 0.7590 | 0.8712 |
No log | 9.6098 | 394 | 0.7753 | 0.1254 | 0.7753 | 0.8805 |
No log | 9.6585 | 396 | 0.8160 | 0.1553 | 0.8160 | 0.9033 |
No log | 9.7073 | 398 | 0.8326 | 0.0269 | 0.8326 | 0.9125 |
No log | 9.7561 | 400 | 0.8418 | 0.1298 | 0.8418 | 0.9175 |
No log | 9.8049 | 402 | 0.8827 | 0.0964 | 0.8827 | 0.9395 |
No log | 9.8537 | 404 | 0.8857 | 0.0236 | 0.8857 | 0.9411 |
No log | 9.9024 | 406 | 0.9011 | 0.0861 | 0.9011 | 0.9493 |
No log | 9.9512 | 408 | 0.8667 | 0.0856 | 0.8667 | 0.9310 |
No log | 10.0 | 410 | 0.8303 | 0.0509 | 0.8303 | 0.9112 |
No log | 10.0488 | 412 | 0.7566 | 0.0031 | 0.7566 | 0.8698 |
No log | 10.0976 | 414 | 0.6928 | -0.0065 | 0.6928 | 0.8323 |
No log | 10.1463 | 416 | 0.7110 | 0.1444 | 0.7110 | 0.8432 |
No log | 10.1951 | 418 | 0.7660 | 0.1740 | 0.7660 | 0.8752 |
No log | 10.2439 | 420 | 0.7923 | 0.1249 | 0.7923 | 0.8901 |
No log | 10.2927 | 422 | 0.8422 | 0.0509 | 0.8422 | 0.9177 |
No log | 10.3415 | 424 | 0.8950 | -0.0148 | 0.8950 | 0.9461 |
No log | 10.3902 | 426 | 0.8452 | 0.1292 | 0.8452 | 0.9194 |
No log | 10.4390 | 428 | 0.8944 | -0.0262 | 0.8944 | 0.9457 |
No log | 10.4878 | 430 | 0.9044 | 0.0095 | 0.9044 | 0.9510 |
No log | 10.5366 | 432 | 0.8247 | 0.0247 | 0.8247 | 0.9082 |
No log | 10.5854 | 434 | 0.7806 | 0.0768 | 0.7806 | 0.8835 |
No log | 10.6341 | 436 | 0.7760 | 0.0768 | 0.7760 | 0.8809 |
No log | 10.6829 | 438 | 0.8149 | 0.0183 | 0.8149 | 0.9027 |
No log | 10.7317 | 440 | 0.8155 | 0.0152 | 0.8155 | 0.9031 |
No log | 10.7805 | 442 | 0.7966 | -0.0195 | 0.7966 | 0.8925 |
No log | 10.8293 | 444 | 0.8219 | 0.1347 | 0.8219 | 0.9066 |
No log | 10.8780 | 446 | 0.8399 | 0.1292 | 0.8399 | 0.9165 |
No log | 10.9268 | 448 | 0.8352 | 0.0303 | 0.8352 | 0.9139 |
No log | 10.9756 | 450 | 0.8578 | 0.1001 | 0.8578 | 0.9261 |
No log | 11.0244 | 452 | 0.8797 | 0.0016 | 0.8797 | 0.9379 |
No log | 11.0732 | 454 | 0.9542 | -0.0076 | 0.9542 | 0.9768 |
No log | 11.1220 | 456 | 0.9305 | -0.0008 | 0.9305 | 0.9646 |
No log | 11.1707 | 458 | 0.8813 | -0.0209 | 0.8813 | 0.9388 |
No log | 11.2195 | 460 | 0.8841 | 0.0846 | 0.8841 | 0.9403 |
No log | 11.2683 | 462 | 0.9050 | 0.0580 | 0.9050 | 0.9513 |
No log | 11.3171 | 464 | 0.8506 | 0.1340 | 0.8506 | 0.9223 |
No log | 11.3659 | 466 | 0.8758 | -0.0008 | 0.8758 | 0.9358 |
No log | 11.4146 | 468 | 0.9247 | -0.0143 | 0.9247 | 0.9616 |
No log | 11.4634 | 470 | 0.8740 | 0.0316 | 0.8740 | 0.9349 |
No log | 11.5122 | 472 | 0.7679 | 0.1311 | 0.7679 | 0.8763 |
No log | 11.5610 | 474 | 0.7872 | 0.0 | 0.7872 | 0.8872 |
No log | 11.6098 | 476 | 0.8255 | 0.0030 | 0.8255 | 0.9085 |
No log | 11.6585 | 478 | 0.8296 | 0.1354 | 0.8296 | 0.9108 |
No log | 11.7073 | 480 | 0.9201 | -0.0441 | 0.9201 | 0.9592 |
No log | 11.7561 | 482 | 0.9484 | -0.0837 | 0.9484 | 0.9739 |
No log | 11.8049 | 484 | 0.8664 | 0.0041 | 0.8664 | 0.9308 |
No log | 11.8537 | 486 | 0.8033 | 0.1254 | 0.8033 | 0.8963 |
No log | 11.9024 | 488 | 0.7775 | 0.1371 | 0.7775 | 0.8818 |
No log | 11.9512 | 490 | 0.7813 | 0.1311 | 0.7813 | 0.8839 |
No log | 12.0 | 492 | 0.8335 | 0.0525 | 0.8335 | 0.9130 |
No log | 12.0488 | 494 | 0.8646 | 0.0016 | 0.8646 | 0.9299 |
No log | 12.0976 | 496 | 0.8313 | 0.0196 | 0.8313 | 0.9118 |
No log | 12.1463 | 498 | 0.8326 | 0.1287 | 0.8326 | 0.9125 |
0.2918 | 12.1951 | 500 | 0.8529 | 0.1277 | 0.8529 | 0.9235 |
0.2918 | 12.2439 | 502 | 0.8448 | 0.1277 | 0.8448 | 0.9191 |
0.2918 | 12.2927 | 504 | 0.8272 | 0.1333 | 0.8272 | 0.9095 |
0.2918 | 12.3415 | 506 | 0.8160 | 0.1340 | 0.8160 | 0.9033 |
0.2918 | 12.3902 | 508 | 0.8345 | 0.0893 | 0.8345 | 0.9135 |
0.2918 | 12.4390 | 510 | 0.8714 | -0.0238 | 0.8714 | 0.9335 |
0.2918 | 12.4878 | 512 | 0.8888 | 0.1277 | 0.8888 | 0.9427 |
0.2918 | 12.5366 | 514 | 0.9271 | 0.0633 | 0.9271 | 0.9628 |
0.2918 | 12.5854 | 516 | 0.9081 | 0.0670 | 0.9081 | 0.9529 |
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_run2_AugV5_k8_task3_organization
Base model
aubmindlab/bert-base-arabertv02