ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k9_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: 0.5637
- Qwk: 0.5626
- Mse: 0.5637
- Rmse: 0.7508
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 | 0.0426 | 2 | 2.5941 | -0.0262 | 2.5941 | 1.6106 |
| No log | 0.0851 | 4 | 1.3576 | 0.0763 | 1.3576 | 1.1651 |
| No log | 0.1277 | 6 | 1.0694 | -0.0970 | 1.0694 | 1.0341 |
| No log | 0.1702 | 8 | 1.0324 | 0.1010 | 1.0324 | 1.0161 |
| No log | 0.2128 | 10 | 1.0958 | 0.0962 | 1.0958 | 1.0468 |
| No log | 0.2553 | 12 | 1.0792 | 0.0316 | 1.0792 | 1.0388 |
| No log | 0.2979 | 14 | 0.9871 | 0.0502 | 0.9871 | 0.9935 |
| No log | 0.3404 | 16 | 0.8492 | -0.0841 | 0.8492 | 0.9215 |
| No log | 0.3830 | 18 | 0.8462 | 0.0053 | 0.8462 | 0.9199 |
| No log | 0.4255 | 20 | 0.8377 | -0.0426 | 0.8377 | 0.9152 |
| No log | 0.4681 | 22 | 0.8142 | -0.0444 | 0.8142 | 0.9024 |
| No log | 0.5106 | 24 | 0.8629 | 0.0520 | 0.8629 | 0.9289 |
| No log | 0.5532 | 26 | 1.0068 | 0.0821 | 1.0068 | 1.0034 |
| No log | 0.5957 | 28 | 1.0999 | -0.0506 | 1.0999 | 1.0488 |
| No log | 0.6383 | 30 | 1.0279 | 0.1962 | 1.0279 | 1.0138 |
| No log | 0.6809 | 32 | 0.9916 | 0.2670 | 0.9916 | 0.9958 |
| No log | 0.7234 | 34 | 0.8221 | 0.2574 | 0.8221 | 0.9067 |
| No log | 0.7660 | 36 | 0.7184 | 0.1504 | 0.7184 | 0.8476 |
| No log | 0.8085 | 38 | 0.7145 | 0.1699 | 0.7145 | 0.8453 |
| No log | 0.8511 | 40 | 0.7009 | 0.2145 | 0.7009 | 0.8372 |
| No log | 0.8936 | 42 | 0.6942 | 0.1953 | 0.6942 | 0.8332 |
| No log | 0.9362 | 44 | 0.7318 | 0.0851 | 0.7318 | 0.8555 |
| No log | 0.9787 | 46 | 0.7641 | 0.0851 | 0.7641 | 0.8742 |
| No log | 1.0213 | 48 | 0.7368 | 0.1065 | 0.7368 | 0.8584 |
| No log | 1.0638 | 50 | 0.7124 | 0.3211 | 0.7124 | 0.8440 |
| No log | 1.1064 | 52 | 0.7351 | 0.2987 | 0.7351 | 0.8574 |
| No log | 1.1489 | 54 | 0.7803 | 0.2779 | 0.7803 | 0.8833 |
| No log | 1.1915 | 56 | 0.7786 | 0.2353 | 0.7786 | 0.8824 |
| No log | 1.2340 | 58 | 0.7380 | 0.2607 | 0.7380 | 0.8591 |
| No log | 1.2766 | 60 | 0.7500 | 0.2171 | 0.7500 | 0.8660 |
| No log | 1.3191 | 62 | 0.8305 | 0.2244 | 0.8305 | 0.9113 |
| No log | 1.3617 | 64 | 0.8599 | 0.2982 | 0.8599 | 0.9273 |
| No log | 1.4043 | 66 | 0.8661 | 0.2244 | 0.8661 | 0.9307 |
| No log | 1.4468 | 68 | 0.8028 | 0.2285 | 0.8028 | 0.8960 |
| No log | 1.4894 | 70 | 0.7258 | 0.2409 | 0.7258 | 0.8519 |
| No log | 1.5319 | 72 | 0.7280 | 0.1766 | 0.7280 | 0.8532 |
| No log | 1.5745 | 74 | 0.7670 | 0.2574 | 0.7670 | 0.8758 |
| No log | 1.6170 | 76 | 0.8158 | 0.2784 | 0.8158 | 0.9032 |
| No log | 1.6596 | 78 | 0.8246 | 0.2518 | 0.8246 | 0.9081 |
| No log | 1.7021 | 80 | 0.7694 | 0.1142 | 0.7694 | 0.8771 |
| No log | 1.7447 | 82 | 0.8049 | 0.0757 | 0.8049 | 0.8971 |
| No log | 1.7872 | 84 | 0.8303 | 0.0884 | 0.8303 | 0.9112 |
| No log | 1.8298 | 86 | 0.8213 | 0.0840 | 0.8213 | 0.9063 |
| No log | 1.8723 | 88 | 0.7807 | 0.1983 | 0.7807 | 0.8835 |
| No log | 1.9149 | 90 | 0.7656 | 0.1225 | 0.7656 | 0.8750 |
| No log | 1.9574 | 92 | 0.8224 | 0.2904 | 0.8224 | 0.9069 |
| No log | 2.0 | 94 | 0.8824 | 0.3740 | 0.8824 | 0.9394 |
| No log | 2.0426 | 96 | 0.8892 | 0.4186 | 0.8892 | 0.9430 |
| No log | 2.0851 | 98 | 0.6930 | 0.3609 | 0.6930 | 0.8324 |
| No log | 2.1277 | 100 | 0.5975 | 0.3267 | 0.5975 | 0.7730 |
| No log | 2.1702 | 102 | 0.6261 | 0.3329 | 0.6261 | 0.7913 |
| No log | 2.2128 | 104 | 0.7237 | 0.3675 | 0.7237 | 0.8507 |
| No log | 2.2553 | 106 | 0.7709 | 0.2518 | 0.7709 | 0.8780 |
| No log | 2.2979 | 108 | 0.7603 | 0.1268 | 0.7603 | 0.8719 |
| No log | 2.3404 | 110 | 0.6772 | 0.1268 | 0.6772 | 0.8229 |
| No log | 2.3830 | 112 | 0.6552 | 0.3167 | 0.6552 | 0.8095 |
| No log | 2.4255 | 114 | 0.7271 | 0.3294 | 0.7271 | 0.8527 |
| No log | 2.4681 | 116 | 0.7665 | 0.3294 | 0.7665 | 0.8755 |
| No log | 2.5106 | 118 | 0.6852 | 0.2297 | 0.6852 | 0.8278 |
| No log | 2.5532 | 120 | 0.5937 | 0.3865 | 0.5937 | 0.7705 |
| No log | 2.5957 | 122 | 0.5892 | 0.4007 | 0.5892 | 0.7676 |
| No log | 2.6383 | 124 | 0.6072 | 0.4608 | 0.6072 | 0.7792 |
| No log | 2.6809 | 126 | 0.6225 | 0.4034 | 0.6225 | 0.7890 |
| No log | 2.7234 | 128 | 0.6193 | 0.3781 | 0.6193 | 0.7870 |
| No log | 2.7660 | 130 | 0.6158 | 0.3280 | 0.6158 | 0.7847 |
| No log | 2.8085 | 132 | 0.6724 | 0.4186 | 0.6724 | 0.8200 |
| No log | 2.8511 | 134 | 0.8887 | 0.3794 | 0.8887 | 0.9427 |
| No log | 2.8936 | 136 | 0.9160 | 0.3608 | 0.9160 | 0.9571 |
| No log | 2.9362 | 138 | 0.7681 | 0.4243 | 0.7681 | 0.8764 |
| No log | 2.9787 | 140 | 0.6488 | 0.3816 | 0.6488 | 0.8055 |
| No log | 3.0213 | 142 | 0.6504 | 0.4397 | 0.6504 | 0.8065 |
| No log | 3.0638 | 144 | 0.6801 | 0.4356 | 0.6801 | 0.8247 |
| No log | 3.1064 | 146 | 0.7273 | 0.4077 | 0.7273 | 0.8528 |
| No log | 3.1489 | 148 | 0.7698 | 0.3906 | 0.7698 | 0.8774 |
| No log | 3.1915 | 150 | 0.7253 | 0.3950 | 0.7253 | 0.8516 |
| No log | 3.2340 | 152 | 0.7219 | 0.3818 | 0.7219 | 0.8497 |
| No log | 3.2766 | 154 | 0.7065 | 0.4085 | 0.7065 | 0.8405 |
| No log | 3.3191 | 156 | 0.6931 | 0.4428 | 0.6931 | 0.8325 |
| No log | 3.3617 | 158 | 0.7270 | 0.3906 | 0.7270 | 0.8526 |
| No log | 3.4043 | 160 | 0.7512 | 0.3583 | 0.7512 | 0.8667 |
| No log | 3.4468 | 162 | 0.6972 | 0.4734 | 0.6972 | 0.8350 |
| No log | 3.4894 | 164 | 0.6369 | 0.5586 | 0.6369 | 0.7981 |
| No log | 3.5319 | 166 | 0.6908 | 0.4484 | 0.6908 | 0.8311 |
| No log | 3.5745 | 168 | 0.7057 | 0.4343 | 0.7057 | 0.8401 |
| No log | 3.6170 | 170 | 0.6716 | 0.5093 | 0.6716 | 0.8195 |
| No log | 3.6596 | 172 | 0.6635 | 0.6136 | 0.6635 | 0.8146 |
| No log | 3.7021 | 174 | 0.6536 | 0.6040 | 0.6536 | 0.8085 |
| No log | 3.7447 | 176 | 0.6308 | 0.5891 | 0.6308 | 0.7943 |
| No log | 3.7872 | 178 | 0.6167 | 0.5714 | 0.6167 | 0.7853 |
| No log | 3.8298 | 180 | 0.6036 | 0.5586 | 0.6036 | 0.7769 |
| No log | 3.8723 | 182 | 0.6183 | 0.5206 | 0.6183 | 0.7863 |
| No log | 3.9149 | 184 | 0.7173 | 0.5022 | 0.7173 | 0.8469 |
| No log | 3.9574 | 186 | 0.8021 | 0.3663 | 0.8021 | 0.8956 |
| No log | 4.0 | 188 | 0.7237 | 0.4529 | 0.7237 | 0.8507 |
| No log | 4.0426 | 190 | 0.6742 | 0.4986 | 0.6742 | 0.8211 |
| No log | 4.0851 | 192 | 0.6808 | 0.4789 | 0.6808 | 0.8251 |
| No log | 4.1277 | 194 | 0.7075 | 0.3051 | 0.7075 | 0.8411 |
| No log | 4.1702 | 196 | 0.7055 | 0.3085 | 0.7055 | 0.8399 |
| No log | 4.2128 | 198 | 0.6883 | 0.2988 | 0.6883 | 0.8297 |
| No log | 4.2553 | 200 | 0.6568 | 0.3837 | 0.6568 | 0.8104 |
| No log | 4.2979 | 202 | 0.6498 | 0.3837 | 0.6498 | 0.8061 |
| No log | 4.3404 | 204 | 0.6572 | 0.3887 | 0.6572 | 0.8107 |
| No log | 4.3830 | 206 | 0.7345 | 0.4334 | 0.7345 | 0.8570 |
| No log | 4.4255 | 208 | 0.9112 | 0.3645 | 0.9112 | 0.9546 |
| No log | 4.4681 | 210 | 1.0480 | 0.3987 | 1.0480 | 1.0237 |
| No log | 4.5106 | 212 | 1.0304 | 0.3622 | 1.0304 | 1.0151 |
| No log | 4.5532 | 214 | 0.8678 | 0.3909 | 0.8678 | 0.9316 |
| No log | 4.5957 | 216 | 0.6602 | 0.3769 | 0.6602 | 0.8125 |
| No log | 4.6383 | 218 | 0.6236 | 0.4526 | 0.6236 | 0.7897 |
| No log | 4.6809 | 220 | 0.6339 | 0.3762 | 0.6339 | 0.7962 |
| No log | 4.7234 | 222 | 0.7026 | 0.3292 | 0.7026 | 0.8382 |
| No log | 4.7660 | 224 | 0.7925 | 0.3824 | 0.7925 | 0.8902 |
| No log | 4.8085 | 226 | 0.7974 | 0.3867 | 0.7974 | 0.8930 |
| No log | 4.8511 | 228 | 0.7111 | 0.3548 | 0.7111 | 0.8433 |
| No log | 4.8936 | 230 | 0.6528 | 0.4874 | 0.6528 | 0.8079 |
| No log | 4.9362 | 232 | 0.6511 | 0.4349 | 0.6511 | 0.8069 |
| No log | 4.9787 | 234 | 0.6572 | 0.3811 | 0.6572 | 0.8107 |
| No log | 5.0213 | 236 | 0.7295 | 0.3209 | 0.7295 | 0.8541 |
| No log | 5.0638 | 238 | 0.8017 | 0.2521 | 0.8017 | 0.8954 |
| No log | 5.1064 | 240 | 0.7435 | 0.3482 | 0.7435 | 0.8623 |
| No log | 5.1489 | 242 | 0.7023 | 0.4067 | 0.7023 | 0.8380 |
| No log | 5.1915 | 244 | 0.6892 | 0.4067 | 0.6892 | 0.8302 |
| No log | 5.2340 | 246 | 0.7288 | 0.3990 | 0.7288 | 0.8537 |
| No log | 5.2766 | 248 | 0.8634 | 0.4114 | 0.8634 | 0.9292 |
| No log | 5.3191 | 250 | 1.0270 | 0.3126 | 1.0270 | 1.0134 |
| No log | 5.3617 | 252 | 0.9447 | 0.3470 | 0.9447 | 0.9720 |
| No log | 5.4043 | 254 | 0.7564 | 0.4550 | 0.7564 | 0.8697 |
| No log | 5.4468 | 256 | 0.6616 | 0.4434 | 0.6616 | 0.8134 |
| No log | 5.4894 | 258 | 0.6687 | 0.4281 | 0.6687 | 0.8177 |
| No log | 5.5319 | 260 | 0.7727 | 0.3667 | 0.7727 | 0.8791 |
| No log | 5.5745 | 262 | 0.9323 | 0.3830 | 0.9323 | 0.9656 |
| No log | 5.6170 | 264 | 0.9897 | 0.3288 | 0.9897 | 0.9948 |
| No log | 5.6596 | 266 | 1.0170 | 0.3193 | 1.0170 | 1.0084 |
| No log | 5.7021 | 268 | 0.9260 | 0.3470 | 0.9260 | 0.9623 |
| No log | 5.7447 | 270 | 0.7355 | 0.4218 | 0.7355 | 0.8576 |
| No log | 5.7872 | 272 | 0.6607 | 0.4393 | 0.6607 | 0.8128 |
| No log | 5.8298 | 274 | 0.6371 | 0.4103 | 0.6371 | 0.7982 |
| No log | 5.8723 | 276 | 0.6394 | 0.4428 | 0.6394 | 0.7996 |
| No log | 5.9149 | 278 | 0.6496 | 0.4428 | 0.6496 | 0.8060 |
| No log | 5.9574 | 280 | 0.6135 | 0.5206 | 0.6135 | 0.7833 |
| No log | 6.0 | 282 | 0.5943 | 0.5826 | 0.5943 | 0.7709 |
| No log | 6.0426 | 284 | 0.5902 | 0.6027 | 0.5902 | 0.7683 |
| No log | 6.0851 | 286 | 0.5859 | 0.5742 | 0.5859 | 0.7654 |
| No log | 6.1277 | 288 | 0.6180 | 0.5109 | 0.6180 | 0.7861 |
| No log | 6.1702 | 290 | 0.6725 | 0.4315 | 0.6725 | 0.8200 |
| No log | 6.2128 | 292 | 0.6413 | 0.4428 | 0.6413 | 0.8008 |
| No log | 6.2553 | 294 | 0.5997 | 0.5419 | 0.5997 | 0.7744 |
| No log | 6.2979 | 296 | 0.6078 | 0.5419 | 0.6078 | 0.7796 |
| No log | 6.3404 | 298 | 0.5999 | 0.5640 | 0.5999 | 0.7745 |
| No log | 6.3830 | 300 | 0.5997 | 0.5505 | 0.5997 | 0.7744 |
| No log | 6.4255 | 302 | 0.6126 | 0.5906 | 0.6126 | 0.7827 |
| No log | 6.4681 | 304 | 0.5983 | 0.5190 | 0.5983 | 0.7735 |
| No log | 6.5106 | 306 | 0.6016 | 0.5357 | 0.6016 | 0.7756 |
| No log | 6.5532 | 308 | 0.6476 | 0.4428 | 0.6476 | 0.8047 |
| No log | 6.5957 | 310 | 0.7106 | 0.4404 | 0.7106 | 0.8430 |
| No log | 6.6383 | 312 | 0.7218 | 0.4353 | 0.7218 | 0.8496 |
| No log | 6.6809 | 314 | 0.6656 | 0.4644 | 0.6656 | 0.8158 |
| No log | 6.7234 | 316 | 0.6490 | 0.5015 | 0.6490 | 0.8056 |
| No log | 6.7660 | 318 | 0.6638 | 0.4353 | 0.6638 | 0.8147 |
| No log | 6.8085 | 320 | 0.6546 | 0.4023 | 0.6546 | 0.8091 |
| No log | 6.8511 | 322 | 0.6837 | 0.4124 | 0.6837 | 0.8269 |
| No log | 6.8936 | 324 | 0.8042 | 0.4351 | 0.8042 | 0.8968 |
| No log | 6.9362 | 326 | 0.8351 | 0.4222 | 0.8351 | 0.9138 |
| No log | 6.9787 | 328 | 0.7771 | 0.4821 | 0.7771 | 0.8816 |
| No log | 7.0213 | 330 | 0.6619 | 0.5040 | 0.6619 | 0.8136 |
| No log | 7.0638 | 332 | 0.5765 | 0.4576 | 0.5765 | 0.7593 |
| No log | 7.1064 | 334 | 0.5773 | 0.4314 | 0.5773 | 0.7598 |
| No log | 7.1489 | 336 | 0.5865 | 0.4555 | 0.5865 | 0.7658 |
| No log | 7.1915 | 338 | 0.6469 | 0.4144 | 0.6469 | 0.8043 |
| No log | 7.2340 | 340 | 0.6434 | 0.4504 | 0.6434 | 0.8021 |
| No log | 7.2766 | 342 | 0.6096 | 0.4504 | 0.6096 | 0.7807 |
| No log | 7.3191 | 344 | 0.5811 | 0.4968 | 0.5811 | 0.7623 |
| No log | 7.3617 | 346 | 0.6231 | 0.4845 | 0.6231 | 0.7894 |
| No log | 7.4043 | 348 | 0.6029 | 0.4997 | 0.6029 | 0.7765 |
| No log | 7.4468 | 350 | 0.5601 | 0.5337 | 0.5601 | 0.7484 |
| No log | 7.4894 | 352 | 0.5348 | 0.5742 | 0.5348 | 0.7313 |
| No log | 7.5319 | 354 | 0.5321 | 0.5479 | 0.5321 | 0.7295 |
| No log | 7.5745 | 356 | 0.5439 | 0.5868 | 0.5439 | 0.7375 |
| No log | 7.6170 | 358 | 0.5278 | 0.5827 | 0.5278 | 0.7265 |
| No log | 7.6596 | 360 | 0.5485 | 0.4970 | 0.5485 | 0.7406 |
| No log | 7.7021 | 362 | 0.5592 | 0.5242 | 0.5592 | 0.7478 |
| No log | 7.7447 | 364 | 0.5213 | 0.5697 | 0.5213 | 0.7220 |
| No log | 7.7872 | 366 | 0.5094 | 0.5812 | 0.5094 | 0.7137 |
| No log | 7.8298 | 368 | 0.5096 | 0.6053 | 0.5096 | 0.7139 |
| No log | 7.8723 | 370 | 0.5145 | 0.5930 | 0.5145 | 0.7173 |
| No log | 7.9149 | 372 | 0.5491 | 0.4587 | 0.5491 | 0.7410 |
| No log | 7.9574 | 374 | 0.6429 | 0.4512 | 0.6429 | 0.8018 |
| No log | 8.0 | 376 | 0.6940 | 0.4592 | 0.6940 | 0.8331 |
| No log | 8.0426 | 378 | 0.6371 | 0.4539 | 0.6371 | 0.7982 |
| No log | 8.0851 | 380 | 0.5721 | 0.4257 | 0.5721 | 0.7564 |
| No log | 8.1277 | 382 | 0.5777 | 0.4955 | 0.5777 | 0.7601 |
| No log | 8.1702 | 384 | 0.5833 | 0.4248 | 0.5833 | 0.7638 |
| No log | 8.2128 | 386 | 0.6094 | 0.4165 | 0.6094 | 0.7806 |
| No log | 8.2553 | 388 | 0.7149 | 0.4199 | 0.7149 | 0.8455 |
| No log | 8.2979 | 390 | 0.7377 | 0.4247 | 0.7377 | 0.8589 |
| No log | 8.3404 | 392 | 0.6401 | 0.3700 | 0.6401 | 0.8000 |
| No log | 8.3830 | 394 | 0.5751 | 0.4569 | 0.5751 | 0.7583 |
| No log | 8.4255 | 396 | 0.5530 | 0.4314 | 0.5530 | 0.7436 |
| No log | 8.4681 | 398 | 0.5499 | 0.4291 | 0.5499 | 0.7416 |
| No log | 8.5106 | 400 | 0.5545 | 0.4895 | 0.5545 | 0.7446 |
| No log | 8.5532 | 402 | 0.5621 | 0.4951 | 0.5621 | 0.7498 |
| No log | 8.5957 | 404 | 0.5683 | 0.5173 | 0.5683 | 0.7539 |
| No log | 8.6383 | 406 | 0.6010 | 0.5246 | 0.6010 | 0.7753 |
| No log | 8.6809 | 408 | 0.6052 | 0.4980 | 0.6052 | 0.7779 |
| No log | 8.7234 | 410 | 0.5883 | 0.4662 | 0.5883 | 0.7670 |
| No log | 8.7660 | 412 | 0.5812 | 0.4806 | 0.5812 | 0.7623 |
| No log | 8.8085 | 414 | 0.6136 | 0.5195 | 0.6136 | 0.7833 |
| No log | 8.8511 | 416 | 0.6965 | 0.4684 | 0.6965 | 0.8346 |
| No log | 8.8936 | 418 | 0.7253 | 0.4315 | 0.7253 | 0.8516 |
| No log | 8.9362 | 420 | 0.6632 | 0.4531 | 0.6632 | 0.8144 |
| No log | 8.9787 | 422 | 0.5779 | 0.5015 | 0.5779 | 0.7602 |
| No log | 9.0213 | 424 | 0.5677 | 0.5076 | 0.5677 | 0.7535 |
| No log | 9.0638 | 426 | 0.5775 | 0.5499 | 0.5775 | 0.7599 |
| No log | 9.1064 | 428 | 0.5767 | 0.5418 | 0.5767 | 0.7594 |
| No log | 9.1489 | 430 | 0.5556 | 0.5961 | 0.5556 | 0.7454 |
| No log | 9.1915 | 432 | 0.5445 | 0.5362 | 0.5445 | 0.7379 |
| No log | 9.2340 | 434 | 0.5440 | 0.5131 | 0.5440 | 0.7375 |
| No log | 9.2766 | 436 | 0.5540 | 0.5036 | 0.5540 | 0.7443 |
| No log | 9.3191 | 438 | 0.5406 | 0.4547 | 0.5406 | 0.7353 |
| No log | 9.3617 | 440 | 0.5410 | 0.4816 | 0.5410 | 0.7356 |
| No log | 9.4043 | 442 | 0.5558 | 0.5324 | 0.5558 | 0.7455 |
| No log | 9.4468 | 444 | 0.5702 | 0.5419 | 0.5702 | 0.7551 |
| No log | 9.4894 | 446 | 0.6000 | 0.5469 | 0.6000 | 0.7746 |
| No log | 9.5319 | 448 | 0.6067 | 0.5469 | 0.6067 | 0.7789 |
| No log | 9.5745 | 450 | 0.5950 | 0.5519 | 0.5950 | 0.7713 |
| No log | 9.6170 | 452 | 0.5901 | 0.5586 | 0.5901 | 0.7682 |
| No log | 9.6596 | 454 | 0.5832 | 0.5428 | 0.5832 | 0.7637 |
| No log | 9.7021 | 456 | 0.5944 | 0.4721 | 0.5944 | 0.7710 |
| No log | 9.7447 | 458 | 0.6026 | 0.4260 | 0.6026 | 0.7762 |
| No log | 9.7872 | 460 | 0.6194 | 0.3888 | 0.6194 | 0.7870 |
| No log | 9.8298 | 462 | 0.6026 | 0.4413 | 0.6026 | 0.7762 |
| No log | 9.8723 | 464 | 0.5915 | 0.4681 | 0.5915 | 0.7691 |
| No log | 9.9149 | 466 | 0.6136 | 0.4384 | 0.6136 | 0.7833 |
| No log | 9.9574 | 468 | 0.6173 | 0.4101 | 0.6173 | 0.7857 |
| No log | 10.0 | 470 | 0.6118 | 0.3667 | 0.6118 | 0.7821 |
| No log | 10.0426 | 472 | 0.6397 | 0.4704 | 0.6397 | 0.7998 |
| No log | 10.0851 | 474 | 0.6612 | 0.4622 | 0.6612 | 0.8131 |
| No log | 10.1277 | 476 | 0.6305 | 0.4534 | 0.6305 | 0.7940 |
| No log | 10.1702 | 478 | 0.5943 | 0.3865 | 0.5943 | 0.7709 |
| No log | 10.2128 | 480 | 0.5579 | 0.3552 | 0.5579 | 0.7469 |
| No log | 10.2553 | 482 | 0.5408 | 0.4101 | 0.5408 | 0.7354 |
| No log | 10.2979 | 484 | 0.5424 | 0.4898 | 0.5424 | 0.7365 |
| No log | 10.3404 | 486 | 0.5457 | 0.5373 | 0.5457 | 0.7387 |
| No log | 10.3830 | 488 | 0.5925 | 0.5211 | 0.5925 | 0.7697 |
| No log | 10.4255 | 490 | 0.6843 | 0.4468 | 0.6843 | 0.8272 |
| No log | 10.4681 | 492 | 0.6967 | 0.4805 | 0.6967 | 0.8347 |
| No log | 10.5106 | 494 | 0.6277 | 0.4574 | 0.6277 | 0.7923 |
| No log | 10.5532 | 496 | 0.5569 | 0.4681 | 0.5569 | 0.7462 |
| No log | 10.5957 | 498 | 0.5373 | 0.5476 | 0.5373 | 0.7330 |
| 0.4196 | 10.6383 | 500 | 0.5301 | 0.5655 | 0.5301 | 0.7280 |
| 0.4196 | 10.6809 | 502 | 0.5338 | 0.5655 | 0.5338 | 0.7306 |
| 0.4196 | 10.7234 | 504 | 0.5479 | 0.5491 | 0.5479 | 0.7402 |
| 0.4196 | 10.7660 | 506 | 0.5769 | 0.4830 | 0.5769 | 0.7595 |
| 0.4196 | 10.8085 | 508 | 0.5823 | 0.4550 | 0.5823 | 0.7631 |
| 0.4196 | 10.8511 | 510 | 0.5637 | 0.5626 | 0.5637 | 0.7508 |
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_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k9_task7_organization
Base model
aubmindlab/bert-base-arabertv02