ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k17_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: 0.7284
- Qwk: 0.6739
- Mse: 0.7284
- Rmse: 0.8534
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 | 0.0241 | 2 | 5.2338 | -0.0020 | 5.2338 | 2.2878 |
| No log | 0.0482 | 4 | 3.3228 | 0.0669 | 3.3228 | 1.8229 |
| No log | 0.0723 | 6 | 2.0603 | 0.0830 | 2.0603 | 1.4354 |
| No log | 0.0964 | 8 | 1.5058 | 0.1544 | 1.5058 | 1.2271 |
| No log | 0.1205 | 10 | 1.2428 | 0.2021 | 1.2428 | 1.1148 |
| No log | 0.1446 | 12 | 1.2197 | 0.2003 | 1.2197 | 1.1044 |
| No log | 0.1687 | 14 | 1.2608 | 0.1656 | 1.2608 | 1.1229 |
| No log | 0.1928 | 16 | 1.2815 | 0.1517 | 1.2815 | 1.1320 |
| No log | 0.2169 | 18 | 1.3516 | 0.1248 | 1.3516 | 1.1626 |
| No log | 0.2410 | 20 | 1.5152 | 0.0901 | 1.5152 | 1.2309 |
| No log | 0.2651 | 22 | 1.9306 | 0.0964 | 1.9306 | 1.3894 |
| No log | 0.2892 | 24 | 1.8734 | 0.0954 | 1.8734 | 1.3687 |
| No log | 0.3133 | 26 | 1.3864 | 0.2129 | 1.3864 | 1.1775 |
| No log | 0.3373 | 28 | 1.0915 | 0.3515 | 1.0915 | 1.0447 |
| No log | 0.3614 | 30 | 1.2243 | 0.2483 | 1.2243 | 1.1065 |
| No log | 0.3855 | 32 | 1.2387 | 0.2688 | 1.2387 | 1.1130 |
| No log | 0.4096 | 34 | 1.1703 | 0.2845 | 1.1703 | 1.0818 |
| No log | 0.4337 | 36 | 1.2476 | 0.3007 | 1.2476 | 1.1170 |
| No log | 0.4578 | 38 | 1.7231 | 0.2059 | 1.7231 | 1.3127 |
| No log | 0.4819 | 40 | 1.8858 | 0.1991 | 1.8858 | 1.3732 |
| No log | 0.5060 | 42 | 1.6360 | 0.2655 | 1.6360 | 1.2790 |
| No log | 0.5301 | 44 | 1.3310 | 0.3349 | 1.3310 | 1.1537 |
| No log | 0.5542 | 46 | 1.4084 | 0.3266 | 1.4084 | 1.1868 |
| No log | 0.5783 | 48 | 1.6411 | 0.2300 | 1.6411 | 1.2811 |
| No log | 0.6024 | 50 | 1.4233 | 0.2810 | 1.4233 | 1.1930 |
| No log | 0.6265 | 52 | 1.1994 | 0.3126 | 1.1994 | 1.0952 |
| No log | 0.6506 | 54 | 1.1703 | 0.3148 | 1.1703 | 1.0818 |
| No log | 0.6747 | 56 | 1.1909 | 0.3350 | 1.1909 | 1.0913 |
| No log | 0.6988 | 58 | 1.3134 | 0.2567 | 1.3134 | 1.1460 |
| No log | 0.7229 | 60 | 1.3530 | 0.2282 | 1.3530 | 1.1632 |
| No log | 0.7470 | 62 | 1.3115 | 0.2866 | 1.3115 | 1.1452 |
| No log | 0.7711 | 64 | 1.2840 | 0.2910 | 1.2840 | 1.1331 |
| No log | 0.7952 | 66 | 1.3600 | 0.2683 | 1.3600 | 1.1662 |
| No log | 0.8193 | 68 | 1.4143 | 0.2489 | 1.4143 | 1.1892 |
| No log | 0.8434 | 70 | 1.4996 | 0.1988 | 1.4996 | 1.2246 |
| No log | 0.8675 | 72 | 1.3785 | 0.2380 | 1.3785 | 1.1741 |
| No log | 0.8916 | 74 | 1.2849 | 0.3069 | 1.2849 | 1.1335 |
| No log | 0.9157 | 76 | 1.2934 | 0.3031 | 1.2934 | 1.1373 |
| No log | 0.9398 | 78 | 1.3283 | 0.2829 | 1.3283 | 1.1525 |
| No log | 0.9639 | 80 | 1.3259 | 0.2609 | 1.3259 | 1.1515 |
| No log | 0.9880 | 82 | 1.3873 | 0.2342 | 1.3873 | 1.1778 |
| No log | 1.0120 | 84 | 1.4126 | 0.1726 | 1.4126 | 1.1885 |
| No log | 1.0361 | 86 | 1.7363 | 0.1527 | 1.7363 | 1.3177 |
| No log | 1.0602 | 88 | 2.1388 | 0.0655 | 2.1388 | 1.4625 |
| No log | 1.0843 | 90 | 1.9523 | 0.1201 | 1.9523 | 1.3972 |
| No log | 1.1084 | 92 | 1.7822 | 0.1204 | 1.7822 | 1.3350 |
| No log | 1.1325 | 94 | 1.4520 | 0.2462 | 1.4520 | 1.2050 |
| No log | 1.1566 | 96 | 1.0825 | 0.3790 | 1.0825 | 1.0405 |
| No log | 1.1807 | 98 | 0.8900 | 0.4624 | 0.8900 | 0.9434 |
| No log | 1.2048 | 100 | 0.8534 | 0.5522 | 0.8534 | 0.9238 |
| No log | 1.2289 | 102 | 0.8411 | 0.6034 | 0.8411 | 0.9171 |
| No log | 1.2530 | 104 | 1.1292 | 0.5396 | 1.1292 | 1.0626 |
| No log | 1.2771 | 106 | 1.2921 | 0.5036 | 1.2921 | 1.1367 |
| No log | 1.3012 | 108 | 1.0655 | 0.5578 | 1.0655 | 1.0323 |
| No log | 1.3253 | 110 | 0.9484 | 0.5903 | 0.9484 | 0.9738 |
| No log | 1.3494 | 112 | 0.8718 | 0.5928 | 0.8718 | 0.9337 |
| No log | 1.3735 | 114 | 0.7670 | 0.6716 | 0.7670 | 0.8758 |
| No log | 1.3976 | 116 | 0.7376 | 0.6780 | 0.7376 | 0.8588 |
| No log | 1.4217 | 118 | 0.7264 | 0.6286 | 0.7264 | 0.8523 |
| No log | 1.4458 | 120 | 0.7359 | 0.6101 | 0.7359 | 0.8579 |
| No log | 1.4699 | 122 | 0.7530 | 0.5919 | 0.7530 | 0.8677 |
| No log | 1.4940 | 124 | 0.7843 | 0.5915 | 0.7843 | 0.8856 |
| No log | 1.5181 | 126 | 0.8107 | 0.5797 | 0.8107 | 0.9004 |
| No log | 1.5422 | 128 | 0.8858 | 0.5171 | 0.8858 | 0.9412 |
| No log | 1.5663 | 130 | 0.9032 | 0.5130 | 0.9032 | 0.9503 |
| No log | 1.5904 | 132 | 0.9092 | 0.4985 | 0.9092 | 0.9535 |
| No log | 1.6145 | 134 | 0.8654 | 0.5875 | 0.8654 | 0.9303 |
| No log | 1.6386 | 136 | 0.8041 | 0.6334 | 0.8041 | 0.8967 |
| No log | 1.6627 | 138 | 0.8396 | 0.5598 | 0.8396 | 0.9163 |
| No log | 1.6867 | 140 | 0.8690 | 0.4940 | 0.8690 | 0.9322 |
| No log | 1.7108 | 142 | 0.8078 | 0.5669 | 0.8078 | 0.8988 |
| No log | 1.7349 | 144 | 0.8224 | 0.5450 | 0.8224 | 0.9069 |
| No log | 1.7590 | 146 | 0.9448 | 0.4700 | 0.9448 | 0.9720 |
| No log | 1.7831 | 148 | 1.1091 | 0.4121 | 1.1091 | 1.0531 |
| No log | 1.8072 | 150 | 1.0461 | 0.4599 | 1.0461 | 1.0228 |
| No log | 1.8313 | 152 | 0.8314 | 0.5317 | 0.8314 | 0.9118 |
| No log | 1.8554 | 154 | 0.7456 | 0.5735 | 0.7456 | 0.8635 |
| No log | 1.8795 | 156 | 0.7378 | 0.5780 | 0.7378 | 0.8589 |
| No log | 1.9036 | 158 | 0.7447 | 0.6146 | 0.7447 | 0.8630 |
| No log | 1.9277 | 160 | 0.7306 | 0.6396 | 0.7306 | 0.8548 |
| No log | 1.9518 | 162 | 0.7658 | 0.6376 | 0.7658 | 0.8751 |
| No log | 1.9759 | 164 | 0.7733 | 0.6391 | 0.7733 | 0.8794 |
| No log | 2.0 | 166 | 0.8052 | 0.6172 | 0.8052 | 0.8973 |
| No log | 2.0241 | 168 | 0.8829 | 0.5722 | 0.8829 | 0.9396 |
| No log | 2.0482 | 170 | 0.8179 | 0.5865 | 0.8179 | 0.9044 |
| No log | 2.0723 | 172 | 0.7707 | 0.5957 | 0.7707 | 0.8779 |
| No log | 2.0964 | 174 | 0.7459 | 0.6005 | 0.7459 | 0.8637 |
| No log | 2.1205 | 176 | 0.7611 | 0.6022 | 0.7611 | 0.8724 |
| No log | 2.1446 | 178 | 0.7775 | 0.6039 | 0.7775 | 0.8817 |
| No log | 2.1687 | 180 | 0.7809 | 0.6016 | 0.7809 | 0.8837 |
| No log | 2.1928 | 182 | 0.7745 | 0.6401 | 0.7745 | 0.8800 |
| No log | 2.2169 | 184 | 0.8037 | 0.6128 | 0.8037 | 0.8965 |
| No log | 2.2410 | 186 | 0.9955 | 0.5118 | 0.9955 | 0.9978 |
| No log | 2.2651 | 188 | 1.1210 | 0.3948 | 1.1210 | 1.0588 |
| No log | 2.2892 | 190 | 1.0904 | 0.3985 | 1.0904 | 1.0442 |
| No log | 2.3133 | 192 | 1.0097 | 0.4250 | 1.0097 | 1.0049 |
| No log | 2.3373 | 194 | 1.1075 | 0.4307 | 1.1075 | 1.0524 |
| No log | 2.3614 | 196 | 1.0301 | 0.4723 | 1.0301 | 1.0149 |
| No log | 2.3855 | 198 | 0.8574 | 0.5265 | 0.8574 | 0.9260 |
| No log | 2.4096 | 200 | 0.7640 | 0.5614 | 0.7640 | 0.8741 |
| No log | 2.4337 | 202 | 0.9202 | 0.5288 | 0.9202 | 0.9593 |
| No log | 2.4578 | 204 | 1.2263 | 0.5035 | 1.2263 | 1.1074 |
| No log | 2.4819 | 206 | 1.2543 | 0.5040 | 1.2543 | 1.1199 |
| No log | 2.5060 | 208 | 0.9587 | 0.5836 | 0.9587 | 0.9792 |
| No log | 2.5301 | 210 | 0.7779 | 0.6287 | 0.7779 | 0.8820 |
| No log | 2.5542 | 212 | 0.7427 | 0.5944 | 0.7427 | 0.8618 |
| No log | 2.5783 | 214 | 0.7632 | 0.6377 | 0.7632 | 0.8736 |
| No log | 2.6024 | 216 | 0.7477 | 0.6006 | 0.7477 | 0.8647 |
| No log | 2.6265 | 218 | 0.7546 | 0.6159 | 0.7546 | 0.8687 |
| No log | 2.6506 | 220 | 0.7665 | 0.6070 | 0.7665 | 0.8755 |
| No log | 2.6747 | 222 | 0.7776 | 0.6376 | 0.7776 | 0.8818 |
| No log | 2.6988 | 224 | 0.8361 | 0.5456 | 0.8361 | 0.9144 |
| No log | 2.7229 | 226 | 0.8832 | 0.5235 | 0.8832 | 0.9398 |
| No log | 2.7470 | 228 | 0.8873 | 0.5245 | 0.8873 | 0.9420 |
| No log | 2.7711 | 230 | 0.7919 | 0.6269 | 0.7919 | 0.8899 |
| No log | 2.7952 | 232 | 0.7052 | 0.6617 | 0.7052 | 0.8398 |
| No log | 2.8193 | 234 | 0.6876 | 0.6527 | 0.6876 | 0.8292 |
| No log | 2.8434 | 236 | 0.7410 | 0.6509 | 0.7410 | 0.8608 |
| No log | 2.8675 | 238 | 0.7132 | 0.6565 | 0.7132 | 0.8445 |
| No log | 2.8916 | 240 | 0.6866 | 0.6600 | 0.6866 | 0.8286 |
| No log | 2.9157 | 242 | 0.6859 | 0.6521 | 0.6859 | 0.8282 |
| No log | 2.9398 | 244 | 0.7161 | 0.6598 | 0.7161 | 0.8462 |
| No log | 2.9639 | 246 | 0.7644 | 0.6486 | 0.7644 | 0.8743 |
| No log | 2.9880 | 248 | 0.8144 | 0.6572 | 0.8144 | 0.9024 |
| No log | 3.0120 | 250 | 0.7896 | 0.6549 | 0.7896 | 0.8886 |
| No log | 3.0361 | 252 | 0.7790 | 0.6578 | 0.7790 | 0.8826 |
| No log | 3.0602 | 254 | 0.7788 | 0.6402 | 0.7788 | 0.8825 |
| No log | 3.0843 | 256 | 0.7138 | 0.6730 | 0.7138 | 0.8448 |
| No log | 3.1084 | 258 | 0.7084 | 0.6556 | 0.7084 | 0.8417 |
| No log | 3.1325 | 260 | 0.8381 | 0.5968 | 0.8381 | 0.9155 |
| No log | 3.1566 | 262 | 1.0625 | 0.5250 | 1.0625 | 1.0308 |
| No log | 3.1807 | 264 | 1.0360 | 0.5111 | 1.0360 | 1.0178 |
| No log | 3.2048 | 266 | 0.8278 | 0.5748 | 0.8278 | 0.9098 |
| No log | 3.2289 | 268 | 0.7735 | 0.5681 | 0.7735 | 0.8795 |
| No log | 3.2530 | 270 | 0.8163 | 0.5311 | 0.8163 | 0.9035 |
| No log | 3.2771 | 272 | 0.8404 | 0.5079 | 0.8404 | 0.9167 |
| No log | 3.3012 | 274 | 0.8455 | 0.5242 | 0.8455 | 0.9195 |
| No log | 3.3253 | 276 | 0.8673 | 0.5802 | 0.8673 | 0.9313 |
| No log | 3.3494 | 278 | 0.9027 | 0.5808 | 0.9027 | 0.9501 |
| No log | 3.3735 | 280 | 0.8542 | 0.6183 | 0.8542 | 0.9242 |
| No log | 3.3976 | 282 | 0.7596 | 0.6525 | 0.7596 | 0.8716 |
| No log | 3.4217 | 284 | 0.7551 | 0.6885 | 0.7551 | 0.8690 |
| No log | 3.4458 | 286 | 0.7621 | 0.6728 | 0.7621 | 0.8730 |
| No log | 3.4699 | 288 | 0.7441 | 0.6721 | 0.7441 | 0.8626 |
| No log | 3.4940 | 290 | 0.7380 | 0.6803 | 0.7380 | 0.8591 |
| No log | 3.5181 | 292 | 0.7259 | 0.6547 | 0.7259 | 0.8520 |
| No log | 3.5422 | 294 | 0.7867 | 0.6196 | 0.7867 | 0.8870 |
| No log | 3.5663 | 296 | 0.8098 | 0.6470 | 0.8098 | 0.8999 |
| No log | 3.5904 | 298 | 0.8043 | 0.6607 | 0.8043 | 0.8968 |
| No log | 3.6145 | 300 | 0.7731 | 0.6509 | 0.7731 | 0.8793 |
| No log | 3.6386 | 302 | 0.8078 | 0.6482 | 0.8078 | 0.8988 |
| No log | 3.6627 | 304 | 0.8192 | 0.6549 | 0.8192 | 0.9051 |
| No log | 3.6867 | 306 | 0.8283 | 0.6471 | 0.8283 | 0.9101 |
| No log | 3.7108 | 308 | 0.8560 | 0.6551 | 0.8560 | 0.9252 |
| No log | 3.7349 | 310 | 0.8773 | 0.6365 | 0.8773 | 0.9366 |
| No log | 3.7590 | 312 | 0.8192 | 0.6514 | 0.8192 | 0.9051 |
| No log | 3.7831 | 314 | 0.8037 | 0.6953 | 0.8037 | 0.8965 |
| No log | 3.8072 | 316 | 0.7932 | 0.6882 | 0.7932 | 0.8906 |
| No log | 3.8313 | 318 | 0.8341 | 0.6727 | 0.8341 | 0.9133 |
| No log | 3.8554 | 320 | 0.8336 | 0.6655 | 0.8336 | 0.9130 |
| No log | 3.8795 | 322 | 0.8141 | 0.6252 | 0.8141 | 0.9023 |
| No log | 3.9036 | 324 | 0.8273 | 0.6054 | 0.8273 | 0.9096 |
| No log | 3.9277 | 326 | 0.9208 | 0.6050 | 0.9208 | 0.9596 |
| No log | 3.9518 | 328 | 1.0376 | 0.4692 | 1.0376 | 1.0186 |
| No log | 3.9759 | 330 | 1.2483 | 0.4340 | 1.2483 | 1.1173 |
| No log | 4.0 | 332 | 1.5774 | 0.3336 | 1.5774 | 1.2559 |
| No log | 4.0241 | 334 | 1.4517 | 0.3746 | 1.4517 | 1.2049 |
| No log | 4.0482 | 336 | 1.2806 | 0.4519 | 1.2806 | 1.1316 |
| No log | 4.0723 | 338 | 1.1181 | 0.4848 | 1.1181 | 1.0574 |
| No log | 4.0964 | 340 | 0.9994 | 0.5060 | 0.9994 | 0.9997 |
| No log | 4.1205 | 342 | 0.8830 | 0.5495 | 0.8830 | 0.9397 |
| No log | 4.1446 | 344 | 0.8276 | 0.5909 | 0.8276 | 0.9097 |
| No log | 4.1687 | 346 | 0.8032 | 0.6316 | 0.8032 | 0.8962 |
| No log | 4.1928 | 348 | 0.8321 | 0.6314 | 0.8321 | 0.9122 |
| No log | 4.2169 | 350 | 0.8892 | 0.6018 | 0.8892 | 0.9430 |
| No log | 4.2410 | 352 | 0.8281 | 0.6268 | 0.8281 | 0.9100 |
| No log | 4.2651 | 354 | 0.7441 | 0.6483 | 0.7441 | 0.8626 |
| No log | 4.2892 | 356 | 0.7031 | 0.6863 | 0.7031 | 0.8385 |
| No log | 4.3133 | 358 | 0.7270 | 0.6749 | 0.7270 | 0.8526 |
| No log | 4.3373 | 360 | 0.7202 | 0.6847 | 0.7202 | 0.8487 |
| No log | 4.3614 | 362 | 0.7193 | 0.6943 | 0.7193 | 0.8481 |
| No log | 4.3855 | 364 | 0.7088 | 0.6936 | 0.7088 | 0.8419 |
| No log | 4.4096 | 366 | 0.6958 | 0.6989 | 0.6958 | 0.8342 |
| No log | 4.4337 | 368 | 0.6641 | 0.7102 | 0.6641 | 0.8149 |
| No log | 4.4578 | 370 | 0.6485 | 0.6777 | 0.6485 | 0.8053 |
| No log | 4.4819 | 372 | 0.6764 | 0.6732 | 0.6764 | 0.8224 |
| No log | 4.5060 | 374 | 0.6786 | 0.6741 | 0.6786 | 0.8238 |
| No log | 4.5301 | 376 | 0.6714 | 0.6708 | 0.6714 | 0.8194 |
| No log | 4.5542 | 378 | 0.6794 | 0.6770 | 0.6794 | 0.8243 |
| No log | 4.5783 | 380 | 0.6792 | 0.6678 | 0.6792 | 0.8241 |
| No log | 4.6024 | 382 | 0.6772 | 0.6807 | 0.6772 | 0.8229 |
| No log | 4.6265 | 384 | 0.6822 | 0.6757 | 0.6822 | 0.8259 |
| No log | 4.6506 | 386 | 0.6829 | 0.6699 | 0.6829 | 0.8264 |
| No log | 4.6747 | 388 | 0.6760 | 0.6844 | 0.6760 | 0.8222 |
| No log | 4.6988 | 390 | 0.6992 | 0.6772 | 0.6992 | 0.8362 |
| No log | 4.7229 | 392 | 0.7258 | 0.6807 | 0.7258 | 0.8519 |
| No log | 4.7470 | 394 | 0.7138 | 0.6742 | 0.7138 | 0.8448 |
| No log | 4.7711 | 396 | 0.7199 | 0.6652 | 0.7199 | 0.8484 |
| No log | 4.7952 | 398 | 0.7079 | 0.6651 | 0.7079 | 0.8413 |
| No log | 4.8193 | 400 | 0.6984 | 0.6886 | 0.6984 | 0.8357 |
| No log | 4.8434 | 402 | 0.7086 | 0.6876 | 0.7086 | 0.8418 |
| No log | 4.8675 | 404 | 0.7148 | 0.6893 | 0.7148 | 0.8455 |
| No log | 4.8916 | 406 | 0.7179 | 0.6748 | 0.7179 | 0.8473 |
| No log | 4.9157 | 408 | 0.7204 | 0.6759 | 0.7204 | 0.8488 |
| No log | 4.9398 | 410 | 0.6787 | 0.6710 | 0.6787 | 0.8238 |
| No log | 4.9639 | 412 | 0.6592 | 0.6740 | 0.6592 | 0.8119 |
| No log | 4.9880 | 414 | 0.6632 | 0.6586 | 0.6632 | 0.8144 |
| No log | 5.0120 | 416 | 0.6692 | 0.6570 | 0.6692 | 0.8180 |
| No log | 5.0361 | 418 | 0.8066 | 0.6386 | 0.8066 | 0.8981 |
| No log | 5.0602 | 420 | 0.9186 | 0.6459 | 0.9186 | 0.9584 |
| No log | 5.0843 | 422 | 0.8347 | 0.6376 | 0.8347 | 0.9136 |
| No log | 5.1084 | 424 | 0.7254 | 0.6401 | 0.7254 | 0.8517 |
| No log | 5.1325 | 426 | 0.7009 | 0.6056 | 0.7009 | 0.8372 |
| No log | 5.1566 | 428 | 0.6990 | 0.6078 | 0.6990 | 0.8361 |
| No log | 5.1807 | 430 | 0.7408 | 0.6595 | 0.7408 | 0.8607 |
| No log | 5.2048 | 432 | 0.9012 | 0.6569 | 0.9012 | 0.9493 |
| No log | 5.2289 | 434 | 1.0429 | 0.5707 | 1.0429 | 1.0212 |
| No log | 5.2530 | 436 | 0.9414 | 0.6335 | 0.9414 | 0.9703 |
| No log | 5.2771 | 438 | 0.7411 | 0.6498 | 0.7411 | 0.8608 |
| No log | 5.3012 | 440 | 0.7064 | 0.6130 | 0.7064 | 0.8405 |
| No log | 5.3253 | 442 | 0.7064 | 0.6238 | 0.7064 | 0.8405 |
| No log | 5.3494 | 444 | 0.6810 | 0.6237 | 0.6810 | 0.8253 |
| No log | 5.3735 | 446 | 0.7634 | 0.6470 | 0.7634 | 0.8737 |
| No log | 5.3976 | 448 | 0.8395 | 0.6707 | 0.8395 | 0.9162 |
| No log | 5.4217 | 450 | 0.7828 | 0.6349 | 0.7828 | 0.8847 |
| No log | 5.4458 | 452 | 0.7232 | 0.6493 | 0.7232 | 0.8504 |
| No log | 5.4699 | 454 | 0.7130 | 0.6567 | 0.7130 | 0.8444 |
| No log | 5.4940 | 456 | 0.7364 | 0.6285 | 0.7364 | 0.8582 |
| No log | 5.5181 | 458 | 0.7403 | 0.6366 | 0.7403 | 0.8604 |
| No log | 5.5422 | 460 | 0.7759 | 0.6352 | 0.7759 | 0.8808 |
| No log | 5.5663 | 462 | 0.8899 | 0.5944 | 0.8899 | 0.9434 |
| No log | 5.5904 | 464 | 1.0416 | 0.5264 | 1.0416 | 1.0206 |
| No log | 5.6145 | 466 | 1.0190 | 0.4974 | 1.0190 | 1.0095 |
| No log | 5.6386 | 468 | 0.8751 | 0.5910 | 0.8751 | 0.9355 |
| No log | 5.6627 | 470 | 0.7570 | 0.6068 | 0.7570 | 0.8700 |
| No log | 5.6867 | 472 | 0.7530 | 0.6213 | 0.7530 | 0.8678 |
| No log | 5.7108 | 474 | 0.7747 | 0.6144 | 0.7747 | 0.8802 |
| No log | 5.7349 | 476 | 0.8036 | 0.6224 | 0.8036 | 0.8964 |
| No log | 5.7590 | 478 | 0.8679 | 0.5802 | 0.8679 | 0.9316 |
| No log | 5.7831 | 480 | 0.8234 | 0.6249 | 0.8234 | 0.9074 |
| No log | 5.8072 | 482 | 0.7494 | 0.6172 | 0.7494 | 0.8657 |
| No log | 5.8313 | 484 | 0.7127 | 0.6358 | 0.7127 | 0.8442 |
| No log | 5.8554 | 486 | 0.7079 | 0.6380 | 0.7079 | 0.8414 |
| No log | 5.8795 | 488 | 0.7485 | 0.6389 | 0.7485 | 0.8651 |
| No log | 5.9036 | 490 | 0.8226 | 0.6554 | 0.8226 | 0.9070 |
| No log | 5.9277 | 492 | 0.8631 | 0.6647 | 0.8631 | 0.9291 |
| No log | 5.9518 | 494 | 0.8884 | 0.6923 | 0.8884 | 0.9426 |
| No log | 5.9759 | 496 | 0.7741 | 0.6775 | 0.7741 | 0.8798 |
| No log | 6.0 | 498 | 0.6949 | 0.6869 | 0.6949 | 0.8336 |
| 0.4605 | 6.0241 | 500 | 0.6897 | 0.6866 | 0.6897 | 0.8305 |
| 0.4605 | 6.0482 | 502 | 0.7391 | 0.6497 | 0.7391 | 0.8597 |
| 0.4605 | 6.0723 | 504 | 0.8406 | 0.6677 | 0.8406 | 0.9168 |
| 0.4605 | 6.0964 | 506 | 0.8373 | 0.6716 | 0.8373 | 0.9150 |
| 0.4605 | 6.1205 | 508 | 0.7828 | 0.6507 | 0.7828 | 0.8848 |
| 0.4605 | 6.1446 | 510 | 0.7284 | 0.6739 | 0.7284 | 0.8534 |
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/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k17_task1_organization
Base model
aubmindlab/bert-base-arabertv02