ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_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: 0.5273
- Qwk: 0.4402
- Mse: 0.5273
- Rmse: 0.7261
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 | 2.5041 | -0.0262 | 2.5041 | 1.5824 |
| No log | 0.0656 | 4 | 1.2984 | -0.0052 | 1.2984 | 1.1395 |
| No log | 0.0984 | 6 | 1.0822 | -0.1740 | 1.0822 | 1.0403 |
| No log | 0.1311 | 8 | 1.0606 | -0.2279 | 1.0606 | 1.0298 |
| No log | 0.1639 | 10 | 1.0551 | 0.0982 | 1.0551 | 1.0272 |
| No log | 0.1967 | 12 | 0.9672 | 0.1254 | 0.9672 | 0.9835 |
| No log | 0.2295 | 14 | 0.8543 | 0.0265 | 0.8543 | 0.9243 |
| No log | 0.2623 | 16 | 0.8081 | 0.1187 | 0.8081 | 0.8990 |
| No log | 0.2951 | 18 | 0.7912 | 0.0840 | 0.7912 | 0.8895 |
| No log | 0.3279 | 20 | 0.7717 | 0.0840 | 0.7717 | 0.8785 |
| No log | 0.3607 | 22 | 0.7815 | 0.0937 | 0.7815 | 0.8840 |
| No log | 0.3934 | 24 | 0.8066 | 0.0947 | 0.8066 | 0.8981 |
| No log | 0.4262 | 26 | 0.7508 | 0.2103 | 0.7508 | 0.8665 |
| No log | 0.4590 | 28 | 0.7851 | 0.0944 | 0.7851 | 0.8861 |
| No log | 0.4918 | 30 | 0.8015 | 0.0937 | 0.8015 | 0.8953 |
| No log | 0.5246 | 32 | 0.7478 | 0.0428 | 0.7478 | 0.8648 |
| No log | 0.5574 | 34 | 0.7842 | 0.0 | 0.7842 | 0.8855 |
| No log | 0.5902 | 36 | 0.9020 | 0.0509 | 0.9020 | 0.9497 |
| No log | 0.6230 | 38 | 0.9419 | 0.1724 | 0.9419 | 0.9705 |
| No log | 0.6557 | 40 | 0.8731 | 0.0937 | 0.8731 | 0.9344 |
| No log | 0.6885 | 42 | 0.7898 | 0.0 | 0.7898 | 0.8887 |
| No log | 0.7213 | 44 | 0.7551 | 0.0 | 0.7551 | 0.8690 |
| No log | 0.7541 | 46 | 0.7460 | 0.0481 | 0.7460 | 0.8637 |
| No log | 0.7869 | 48 | 0.7755 | 0.1372 | 0.7755 | 0.8806 |
| No log | 0.8197 | 50 | 0.7386 | 0.0937 | 0.7386 | 0.8594 |
| No log | 0.8525 | 52 | 0.7026 | 0.1660 | 0.7026 | 0.8382 |
| No log | 0.8852 | 54 | 0.6907 | 0.2713 | 0.6907 | 0.8311 |
| No log | 0.9180 | 56 | 0.6912 | 0.2572 | 0.6912 | 0.8314 |
| No log | 0.9508 | 58 | 0.6986 | 0.2572 | 0.6986 | 0.8358 |
| No log | 0.9836 | 60 | 0.7079 | 0.2506 | 0.7079 | 0.8413 |
| No log | 1.0164 | 62 | 0.7174 | 0.2476 | 0.7174 | 0.8470 |
| No log | 1.0492 | 64 | 0.7201 | 0.2353 | 0.7201 | 0.8486 |
| No log | 1.0820 | 66 | 0.7221 | 0.2751 | 0.7221 | 0.8498 |
| No log | 1.1148 | 68 | 0.8050 | 0.2193 | 0.8050 | 0.8972 |
| No log | 1.1475 | 70 | 0.7864 | 0.2409 | 0.7864 | 0.8868 |
| No log | 1.1803 | 72 | 0.7496 | 0.2218 | 0.7496 | 0.8658 |
| No log | 1.2131 | 74 | 0.7649 | 0.1884 | 0.7649 | 0.8746 |
| No log | 1.2459 | 76 | 0.7907 | 0.2205 | 0.7907 | 0.8892 |
| No log | 1.2787 | 78 | 0.7533 | 0.2205 | 0.7533 | 0.8679 |
| No log | 1.3115 | 80 | 0.7087 | 0.1790 | 0.7087 | 0.8419 |
| No log | 1.3443 | 82 | 0.9192 | 0.2602 | 0.9192 | 0.9587 |
| No log | 1.3770 | 84 | 0.8503 | 0.2988 | 0.8503 | 0.9221 |
| No log | 1.4098 | 86 | 0.6897 | 0.3509 | 0.6897 | 0.8305 |
| No log | 1.4426 | 88 | 0.8076 | 0.3510 | 0.8076 | 0.8987 |
| No log | 1.4754 | 90 | 1.1347 | 0.1947 | 1.1347 | 1.0652 |
| No log | 1.5082 | 92 | 1.2555 | 0.1003 | 1.2555 | 1.1205 |
| No log | 1.5410 | 94 | 1.0631 | 0.2214 | 1.0631 | 1.0311 |
| No log | 1.5738 | 96 | 0.8939 | 0.2604 | 0.8939 | 0.9455 |
| No log | 1.6066 | 98 | 0.7284 | 0.3730 | 0.7284 | 0.8535 |
| No log | 1.6393 | 100 | 0.6829 | 0.2745 | 0.6829 | 0.8264 |
| No log | 1.6721 | 102 | 0.6357 | 0.2405 | 0.6357 | 0.7973 |
| No log | 1.7049 | 104 | 0.6438 | 0.2046 | 0.6438 | 0.8024 |
| No log | 1.7377 | 106 | 0.6803 | 0.1979 | 0.6803 | 0.8248 |
| No log | 1.7705 | 108 | 0.7140 | 0.2611 | 0.7140 | 0.8450 |
| No log | 1.8033 | 110 | 0.6423 | 0.1942 | 0.6423 | 0.8014 |
| No log | 1.8361 | 112 | 0.6019 | 0.2572 | 0.6019 | 0.7758 |
| No log | 1.8689 | 114 | 0.5967 | 0.2857 | 0.5967 | 0.7724 |
| No log | 1.9016 | 116 | 0.6048 | 0.3323 | 0.6048 | 0.7777 |
| No log | 1.9344 | 118 | 0.6457 | 0.2987 | 0.6457 | 0.8036 |
| No log | 1.9672 | 120 | 0.6362 | 0.2218 | 0.6362 | 0.7977 |
| No log | 2.0 | 122 | 0.6574 | 0.2353 | 0.6574 | 0.8108 |
| No log | 2.0328 | 124 | 0.6717 | 0.1673 | 0.6717 | 0.8196 |
| No log | 2.0656 | 126 | 0.6372 | 0.3926 | 0.6372 | 0.7982 |
| No log | 2.0984 | 128 | 0.7534 | 0.3746 | 0.7534 | 0.8680 |
| No log | 2.1311 | 130 | 0.6894 | 0.3372 | 0.6894 | 0.8303 |
| No log | 2.1639 | 132 | 0.6272 | 0.4052 | 0.6272 | 0.7919 |
| No log | 2.1967 | 134 | 0.7492 | 0.3239 | 0.7492 | 0.8656 |
| No log | 2.2295 | 136 | 0.7911 | 0.3676 | 0.7911 | 0.8894 |
| No log | 2.2623 | 138 | 0.6549 | 0.3610 | 0.6549 | 0.8093 |
| No log | 2.2951 | 140 | 0.6505 | 0.3441 | 0.6505 | 0.8065 |
| No log | 2.3279 | 142 | 0.6289 | 0.3643 | 0.6289 | 0.7931 |
| No log | 2.3607 | 144 | 0.7439 | 0.3739 | 0.7439 | 0.8625 |
| No log | 2.3934 | 146 | 0.8074 | 0.2480 | 0.8074 | 0.8985 |
| No log | 2.4262 | 148 | 0.6857 | 0.3107 | 0.6857 | 0.8281 |
| No log | 2.4590 | 150 | 0.6535 | 0.2913 | 0.6535 | 0.8084 |
| No log | 2.4918 | 152 | 0.6457 | 0.3020 | 0.6457 | 0.8035 |
| No log | 2.5246 | 154 | 0.6614 | 0.1591 | 0.6614 | 0.8133 |
| No log | 2.5574 | 156 | 0.7959 | 0.1628 | 0.7959 | 0.8921 |
| No log | 2.5902 | 158 | 0.8212 | 0.2222 | 0.8212 | 0.9062 |
| No log | 2.6230 | 160 | 0.7360 | 0.2300 | 0.7360 | 0.8579 |
| No log | 2.6557 | 162 | 0.6602 | 0.3144 | 0.6602 | 0.8125 |
| No log | 2.6885 | 164 | 0.7267 | 0.2808 | 0.7267 | 0.8524 |
| No log | 2.7213 | 166 | 0.7046 | 0.2661 | 0.7046 | 0.8394 |
| No log | 2.7541 | 168 | 0.7613 | 0.2679 | 0.7613 | 0.8725 |
| No log | 2.7869 | 170 | 0.8154 | 0.2651 | 0.8154 | 0.9030 |
| No log | 2.8197 | 172 | 0.7463 | 0.2182 | 0.7463 | 0.8639 |
| No log | 2.8525 | 174 | 0.6981 | 0.2749 | 0.6981 | 0.8355 |
| No log | 2.8852 | 176 | 0.6878 | 0.1853 | 0.6878 | 0.8293 |
| No log | 2.9180 | 178 | 0.6821 | 0.2513 | 0.6821 | 0.8259 |
| No log | 2.9508 | 180 | 0.7049 | 0.3536 | 0.7049 | 0.8396 |
| No log | 2.9836 | 182 | 0.7245 | 0.3425 | 0.7245 | 0.8512 |
| No log | 3.0164 | 184 | 0.6934 | 0.3229 | 0.6934 | 0.8327 |
| No log | 3.0492 | 186 | 0.6666 | 0.2591 | 0.6666 | 0.8165 |
| No log | 3.0820 | 188 | 0.7295 | 0.2866 | 0.7295 | 0.8541 |
| No log | 3.1148 | 190 | 0.7953 | 0.3440 | 0.7953 | 0.8918 |
| No log | 3.1475 | 192 | 0.7791 | 0.3173 | 0.7791 | 0.8827 |
| No log | 3.1803 | 194 | 0.7399 | 0.3044 | 0.7399 | 0.8602 |
| No log | 3.2131 | 196 | 0.7383 | 0.3876 | 0.7383 | 0.8593 |
| No log | 3.2459 | 198 | 0.7185 | 0.3701 | 0.7185 | 0.8476 |
| No log | 3.2787 | 200 | 0.7057 | 0.3417 | 0.7057 | 0.8401 |
| No log | 3.3115 | 202 | 0.6750 | 0.3375 | 0.6750 | 0.8216 |
| No log | 3.3443 | 204 | 0.6719 | 0.3149 | 0.6719 | 0.8197 |
| No log | 3.3770 | 206 | 0.6526 | 0.3186 | 0.6526 | 0.8079 |
| No log | 3.4098 | 208 | 0.6355 | 0.4459 | 0.6355 | 0.7972 |
| No log | 3.4426 | 210 | 0.6322 | 0.4067 | 0.6322 | 0.7951 |
| No log | 3.4754 | 212 | 0.6492 | 0.4362 | 0.6492 | 0.8057 |
| No log | 3.5082 | 214 | 0.6899 | 0.4420 | 0.6899 | 0.8306 |
| No log | 3.5410 | 216 | 0.7809 | 0.3871 | 0.7809 | 0.8837 |
| No log | 3.5738 | 218 | 0.7538 | 0.4672 | 0.7538 | 0.8682 |
| No log | 3.6066 | 220 | 0.6901 | 0.4183 | 0.6901 | 0.8307 |
| No log | 3.6393 | 222 | 0.6826 | 0.4838 | 0.6826 | 0.8262 |
| No log | 3.6721 | 224 | 0.6511 | 0.4114 | 0.6511 | 0.8069 |
| No log | 3.7049 | 226 | 0.6670 | 0.4096 | 0.6670 | 0.8167 |
| No log | 3.7377 | 228 | 0.7066 | 0.3277 | 0.7066 | 0.8406 |
| No log | 3.7705 | 230 | 0.6801 | 0.3331 | 0.6801 | 0.8247 |
| No log | 3.8033 | 232 | 0.6341 | 0.4043 | 0.6341 | 0.7963 |
| No log | 3.8361 | 234 | 0.6244 | 0.3953 | 0.6244 | 0.7902 |
| No log | 3.8689 | 236 | 0.6241 | 0.4161 | 0.6241 | 0.7900 |
| No log | 3.9016 | 238 | 0.6214 | 0.4590 | 0.6214 | 0.7883 |
| No log | 3.9344 | 240 | 0.6058 | 0.4505 | 0.6058 | 0.7783 |
| No log | 3.9672 | 242 | 0.6459 | 0.4480 | 0.6459 | 0.8037 |
| No log | 4.0 | 244 | 0.6821 | 0.4952 | 0.6821 | 0.8259 |
| No log | 4.0328 | 246 | 0.6278 | 0.4636 | 0.6278 | 0.7923 |
| No log | 4.0656 | 248 | 0.5822 | 0.4517 | 0.5822 | 0.7630 |
| No log | 4.0984 | 250 | 0.5592 | 0.4212 | 0.5592 | 0.7478 |
| No log | 4.1311 | 252 | 0.5714 | 0.4502 | 0.5714 | 0.7559 |
| No log | 4.1639 | 254 | 0.5447 | 0.4847 | 0.5447 | 0.7380 |
| No log | 4.1967 | 256 | 0.6486 | 0.4518 | 0.6486 | 0.8054 |
| No log | 4.2295 | 258 | 0.7100 | 0.3829 | 0.7100 | 0.8426 |
| No log | 4.2623 | 260 | 0.6501 | 0.4518 | 0.6501 | 0.8063 |
| No log | 4.2951 | 262 | 0.6112 | 0.3859 | 0.6112 | 0.7818 |
| No log | 4.3279 | 264 | 0.6092 | 0.3915 | 0.6092 | 0.7805 |
| No log | 4.3607 | 266 | 0.6117 | 0.3702 | 0.6117 | 0.7821 |
| No log | 4.3934 | 268 | 0.6142 | 0.2819 | 0.6142 | 0.7837 |
| No log | 4.4262 | 270 | 0.6243 | 0.2589 | 0.6243 | 0.7901 |
| No log | 4.4590 | 272 | 0.6293 | 0.2285 | 0.6293 | 0.7933 |
| No log | 4.4918 | 274 | 0.6208 | 0.2677 | 0.6208 | 0.7879 |
| No log | 4.5246 | 276 | 0.6354 | 0.2987 | 0.6354 | 0.7972 |
| No log | 4.5574 | 278 | 0.6560 | 0.3377 | 0.6560 | 0.8099 |
| No log | 4.5902 | 280 | 0.6315 | 0.3942 | 0.6315 | 0.7947 |
| No log | 4.6230 | 282 | 0.6270 | 0.3942 | 0.6270 | 0.7918 |
| No log | 4.6557 | 284 | 0.6141 | 0.3942 | 0.6141 | 0.7836 |
| No log | 4.6885 | 286 | 0.6147 | 0.3942 | 0.6147 | 0.7840 |
| No log | 4.7213 | 288 | 0.6634 | 0.4161 | 0.6634 | 0.8145 |
| No log | 4.7541 | 290 | 0.7073 | 0.4594 | 0.7073 | 0.8410 |
| No log | 4.7869 | 292 | 0.6996 | 0.4463 | 0.6996 | 0.8364 |
| No log | 4.8197 | 294 | 0.6466 | 0.4064 | 0.6466 | 0.8041 |
| No log | 4.8525 | 296 | 0.6456 | 0.4216 | 0.6456 | 0.8035 |
| No log | 4.8852 | 298 | 0.6324 | 0.3919 | 0.6324 | 0.7953 |
| No log | 4.9180 | 300 | 0.6522 | 0.4875 | 0.6522 | 0.8076 |
| No log | 4.9508 | 302 | 0.7398 | 0.5200 | 0.7398 | 0.8601 |
| No log | 4.9836 | 304 | 0.7847 | 0.4161 | 0.7847 | 0.8859 |
| No log | 5.0164 | 306 | 0.6798 | 0.4690 | 0.6798 | 0.8245 |
| No log | 5.0492 | 308 | 0.5810 | 0.4635 | 0.5810 | 0.7622 |
| No log | 5.0820 | 310 | 0.6113 | 0.4234 | 0.6113 | 0.7819 |
| No log | 5.1148 | 312 | 0.6300 | 0.3746 | 0.6300 | 0.7937 |
| No log | 5.1475 | 314 | 0.5917 | 0.4701 | 0.5917 | 0.7692 |
| No log | 5.1803 | 316 | 0.6231 | 0.4480 | 0.6231 | 0.7894 |
| No log | 5.2131 | 318 | 0.7202 | 0.4987 | 0.7202 | 0.8487 |
| No log | 5.2459 | 320 | 0.7532 | 0.4740 | 0.7532 | 0.8679 |
| No log | 5.2787 | 322 | 0.6834 | 0.4761 | 0.6834 | 0.8267 |
| No log | 5.3115 | 324 | 0.6007 | 0.4776 | 0.6007 | 0.7751 |
| No log | 5.3443 | 326 | 0.6265 | 0.4260 | 0.6265 | 0.7915 |
| No log | 5.3770 | 328 | 0.6420 | 0.3615 | 0.6420 | 0.8013 |
| No log | 5.4098 | 330 | 0.6191 | 0.3615 | 0.6191 | 0.7868 |
| No log | 5.4426 | 332 | 0.5796 | 0.5056 | 0.5796 | 0.7613 |
| No log | 5.4754 | 334 | 0.5672 | 0.4364 | 0.5672 | 0.7531 |
| No log | 5.5082 | 336 | 0.6423 | 0.5184 | 0.6423 | 0.8014 |
| No log | 5.5410 | 338 | 0.7332 | 0.4740 | 0.7332 | 0.8562 |
| No log | 5.5738 | 340 | 0.8237 | 0.4243 | 0.8237 | 0.9076 |
| No log | 5.6066 | 342 | 0.7773 | 0.4243 | 0.7773 | 0.8817 |
| No log | 5.6393 | 344 | 0.6355 | 0.5046 | 0.6355 | 0.7972 |
| No log | 5.6721 | 346 | 0.5821 | 0.5509 | 0.5821 | 0.7629 |
| No log | 5.7049 | 348 | 0.5974 | 0.5636 | 0.5974 | 0.7729 |
| No log | 5.7377 | 350 | 0.6743 | 0.4527 | 0.6743 | 0.8212 |
| No log | 5.7705 | 352 | 0.6946 | 0.4122 | 0.6946 | 0.8334 |
| No log | 5.8033 | 354 | 0.6499 | 0.4341 | 0.6499 | 0.8062 |
| No log | 5.8361 | 356 | 0.5871 | 0.4674 | 0.5871 | 0.7662 |
| No log | 5.8689 | 358 | 0.5481 | 0.4249 | 0.5481 | 0.7403 |
| No log | 5.9016 | 360 | 0.5515 | 0.3974 | 0.5515 | 0.7427 |
| No log | 5.9344 | 362 | 0.5888 | 0.4434 | 0.5888 | 0.7673 |
| No log | 5.9672 | 364 | 0.6362 | 0.4225 | 0.6362 | 0.7976 |
| No log | 6.0 | 366 | 0.6698 | 0.4800 | 0.6698 | 0.8184 |
| No log | 6.0328 | 368 | 0.6479 | 0.4868 | 0.6479 | 0.8049 |
| No log | 6.0656 | 370 | 0.5874 | 0.5200 | 0.5874 | 0.7664 |
| No log | 6.0984 | 372 | 0.6255 | 0.4952 | 0.6255 | 0.7909 |
| No log | 6.1311 | 374 | 0.7743 | 0.3946 | 0.7743 | 0.8799 |
| No log | 6.1639 | 376 | 0.8734 | 0.3671 | 0.8734 | 0.9346 |
| No log | 6.1967 | 378 | 0.8330 | 0.3451 | 0.8330 | 0.9127 |
| No log | 6.2295 | 380 | 0.7046 | 0.3916 | 0.7046 | 0.8394 |
| No log | 6.2623 | 382 | 0.5860 | 0.4444 | 0.5860 | 0.7655 |
| No log | 6.2951 | 384 | 0.5908 | 0.4182 | 0.5908 | 0.7686 |
| No log | 6.3279 | 386 | 0.6051 | 0.4414 | 0.6051 | 0.7779 |
| No log | 6.3607 | 388 | 0.5861 | 0.4504 | 0.5861 | 0.7656 |
| No log | 6.3934 | 390 | 0.6193 | 0.5044 | 0.6193 | 0.7870 |
| No log | 6.4262 | 392 | 0.7188 | 0.2903 | 0.7188 | 0.8478 |
| No log | 6.4590 | 394 | 0.7584 | 0.3131 | 0.7584 | 0.8709 |
| No log | 6.4918 | 396 | 0.6983 | 0.3362 | 0.6983 | 0.8356 |
| No log | 6.5246 | 398 | 0.6370 | 0.5184 | 0.6370 | 0.7981 |
| No log | 6.5574 | 400 | 0.5933 | 0.4738 | 0.5933 | 0.7702 |
| No log | 6.5902 | 402 | 0.5821 | 0.5516 | 0.5821 | 0.7630 |
| No log | 6.6230 | 404 | 0.5538 | 0.4962 | 0.5538 | 0.7442 |
| No log | 6.6557 | 406 | 0.5313 | 0.4857 | 0.5313 | 0.7289 |
| No log | 6.6885 | 408 | 0.5236 | 0.5143 | 0.5236 | 0.7236 |
| No log | 6.7213 | 410 | 0.5410 | 0.5283 | 0.5410 | 0.7355 |
| No log | 6.7541 | 412 | 0.5571 | 0.4868 | 0.5571 | 0.7464 |
| No log | 6.7869 | 414 | 0.5347 | 0.5283 | 0.5347 | 0.7313 |
| No log | 6.8197 | 416 | 0.5081 | 0.5098 | 0.5081 | 0.7128 |
| No log | 6.8525 | 418 | 0.5081 | 0.5195 | 0.5081 | 0.7128 |
| No log | 6.8852 | 420 | 0.5635 | 0.5378 | 0.5635 | 0.7507 |
| No log | 6.9180 | 422 | 0.6032 | 0.5393 | 0.6032 | 0.7767 |
| No log | 6.9508 | 424 | 0.5958 | 0.5184 | 0.5958 | 0.7719 |
| No log | 6.9836 | 426 | 0.5847 | 0.5249 | 0.5847 | 0.7647 |
| No log | 7.0164 | 428 | 0.5932 | 0.5184 | 0.5932 | 0.7702 |
| No log | 7.0492 | 430 | 0.5862 | 0.5030 | 0.5862 | 0.7656 |
| No log | 7.0820 | 432 | 0.5872 | 0.5220 | 0.5872 | 0.7663 |
| No log | 7.1148 | 434 | 0.6244 | 0.5603 | 0.6244 | 0.7902 |
| No log | 7.1475 | 436 | 0.6430 | 0.5166 | 0.6430 | 0.8019 |
| No log | 7.1803 | 438 | 0.6274 | 0.5636 | 0.6274 | 0.7921 |
| No log | 7.2131 | 440 | 0.6072 | 0.6078 | 0.6072 | 0.7793 |
| No log | 7.2459 | 442 | 0.5855 | 0.5516 | 0.5855 | 0.7652 |
| No log | 7.2787 | 444 | 0.5756 | 0.5302 | 0.5756 | 0.7587 |
| No log | 7.3115 | 446 | 0.5960 | 0.5250 | 0.5960 | 0.7720 |
| No log | 7.3443 | 448 | 0.6149 | 0.5809 | 0.6149 | 0.7841 |
| No log | 7.3770 | 450 | 0.6603 | 0.5283 | 0.6603 | 0.8126 |
| No log | 7.4098 | 452 | 0.6507 | 0.5932 | 0.6507 | 0.8067 |
| No log | 7.4426 | 454 | 0.6328 | 0.5302 | 0.6328 | 0.7955 |
| No log | 7.4754 | 456 | 0.6519 | 0.4883 | 0.6519 | 0.8074 |
| No log | 7.5082 | 458 | 0.6418 | 0.5243 | 0.6418 | 0.8011 |
| No log | 7.5410 | 460 | 0.6560 | 0.5738 | 0.6560 | 0.8099 |
| No log | 7.5738 | 462 | 0.6425 | 0.5144 | 0.6425 | 0.8015 |
| No log | 7.6066 | 464 | 0.6158 | 0.4734 | 0.6158 | 0.7847 |
| No log | 7.6393 | 466 | 0.5839 | 0.4423 | 0.5839 | 0.7642 |
| No log | 7.6721 | 468 | 0.5973 | 0.4114 | 0.5973 | 0.7729 |
| No log | 7.7049 | 470 | 0.6090 | 0.4171 | 0.6090 | 0.7804 |
| No log | 7.7377 | 472 | 0.6098 | 0.4463 | 0.6098 | 0.7809 |
| No log | 7.7705 | 474 | 0.6071 | 0.4217 | 0.6071 | 0.7791 |
| No log | 7.8033 | 476 | 0.6061 | 0.4217 | 0.6061 | 0.7785 |
| No log | 7.8361 | 478 | 0.6045 | 0.4217 | 0.6045 | 0.7775 |
| No log | 7.8689 | 480 | 0.6001 | 0.3910 | 0.6001 | 0.7747 |
| No log | 7.9016 | 482 | 0.5930 | 0.4386 | 0.5930 | 0.7701 |
| No log | 7.9344 | 484 | 0.6119 | 0.4189 | 0.6119 | 0.7822 |
| No log | 7.9672 | 486 | 0.6280 | 0.4544 | 0.6280 | 0.7925 |
| No log | 8.0 | 488 | 0.6282 | 0.4834 | 0.6282 | 0.7926 |
| No log | 8.0328 | 490 | 0.5772 | 0.4655 | 0.5772 | 0.7597 |
| No log | 8.0656 | 492 | 0.5474 | 0.4160 | 0.5474 | 0.7399 |
| No log | 8.0984 | 494 | 0.5458 | 0.4194 | 0.5458 | 0.7388 |
| No log | 8.1311 | 496 | 0.5380 | 0.4253 | 0.5380 | 0.7335 |
| No log | 8.1639 | 498 | 0.5221 | 0.4194 | 0.5221 | 0.7226 |
| 0.3019 | 8.1967 | 500 | 0.5129 | 0.4722 | 0.5129 | 0.7162 |
| 0.3019 | 8.2295 | 502 | 0.5428 | 0.4979 | 0.5428 | 0.7367 |
| 0.3019 | 8.2623 | 504 | 0.5931 | 0.4509 | 0.5931 | 0.7701 |
| 0.3019 | 8.2951 | 506 | 0.6149 | 0.3993 | 0.6149 | 0.7842 |
| 0.3019 | 8.3279 | 508 | 0.5532 | 0.4674 | 0.5532 | 0.7438 |
| 0.3019 | 8.3607 | 510 | 0.5098 | 0.4949 | 0.5098 | 0.7140 |
| 0.3019 | 8.3934 | 512 | 0.5006 | 0.3945 | 0.5006 | 0.7076 |
| 0.3019 | 8.4262 | 514 | 0.5085 | 0.4547 | 0.5085 | 0.7131 |
| 0.3019 | 8.4590 | 516 | 0.5163 | 0.4526 | 0.5163 | 0.7185 |
| 0.3019 | 8.4918 | 518 | 0.5222 | 0.4463 | 0.5222 | 0.7226 |
| 0.3019 | 8.5246 | 520 | 0.5273 | 0.4402 | 0.5273 | 0.7261 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- -
Model tree for MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run3_AugV5_k18_task7_organization
Base model
aubmindlab/bert-base-arabertv02