ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k17_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: 1.0676
- Qwk: 0.2683
- Mse: 1.0676
- Rmse: 1.0333
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 | 0.05 | 2 | 2.7815 | -0.0481 | 2.7815 | 1.6678 |
| No log | 0.1 | 4 | 1.7927 | 0.0061 | 1.7927 | 1.3389 |
| No log | 0.15 | 6 | 2.0211 | -0.1653 | 2.0211 | 1.4217 |
| No log | 0.2 | 8 | 1.3569 | -0.1328 | 1.3569 | 1.1648 |
| No log | 0.25 | 10 | 1.0144 | 0.0054 | 1.0144 | 1.0072 |
| No log | 0.3 | 12 | 0.9010 | 0.1461 | 0.9010 | 0.9492 |
| No log | 0.35 | 14 | 0.9014 | 0.1534 | 0.9014 | 0.9494 |
| No log | 0.4 | 16 | 0.8922 | 0.1636 | 0.8922 | 0.9445 |
| No log | 0.45 | 18 | 0.8487 | 0.0679 | 0.8487 | 0.9212 |
| No log | 0.5 | 20 | 0.9147 | 0.1511 | 0.9147 | 0.9564 |
| No log | 0.55 | 22 | 1.0285 | 0.1259 | 1.0285 | 1.0141 |
| No log | 0.6 | 24 | 1.0813 | 0.0986 | 1.0813 | 1.0398 |
| No log | 0.65 | 26 | 0.8837 | 0.2132 | 0.8837 | 0.9401 |
| No log | 0.7 | 28 | 0.7961 | 0.0937 | 0.7961 | 0.8922 |
| No log | 0.75 | 30 | 0.7689 | 0.0481 | 0.7689 | 0.8769 |
| No log | 0.8 | 32 | 0.7462 | 0.0481 | 0.7462 | 0.8638 |
| No log | 0.85 | 34 | 0.7381 | 0.0884 | 0.7381 | 0.8591 |
| No log | 0.9 | 36 | 0.7520 | 0.0 | 0.7520 | 0.8672 |
| No log | 0.95 | 38 | 0.7783 | 0.0481 | 0.7783 | 0.8822 |
| No log | 1.0 | 40 | 0.7709 | 0.0 | 0.7709 | 0.8780 |
| No log | 1.05 | 42 | 0.7433 | 0.0 | 0.7433 | 0.8622 |
| No log | 1.1 | 44 | 0.7383 | 0.0 | 0.7383 | 0.8592 |
| No log | 1.15 | 46 | 0.7397 | 0.0 | 0.7397 | 0.8601 |
| No log | 1.2 | 48 | 0.7337 | 0.0884 | 0.7337 | 0.8566 |
| No log | 1.25 | 50 | 0.7301 | 0.1236 | 0.7301 | 0.8544 |
| No log | 1.3 | 52 | 0.7242 | 0.1456 | 0.7242 | 0.8510 |
| No log | 1.35 | 54 | 0.7434 | 0.1807 | 0.7434 | 0.8622 |
| No log | 1.4 | 56 | 0.7364 | 0.1508 | 0.7364 | 0.8581 |
| No log | 1.45 | 58 | 0.7273 | 0.1187 | 0.7273 | 0.8528 |
| No log | 1.5 | 60 | 0.7258 | 0.0840 | 0.7258 | 0.8520 |
| No log | 1.55 | 62 | 0.7335 | 0.0444 | 0.7335 | 0.8564 |
| No log | 1.6 | 64 | 0.7513 | 0.0937 | 0.7513 | 0.8668 |
| No log | 1.65 | 66 | 0.7398 | 0.0481 | 0.7398 | 0.8601 |
| No log | 1.7 | 68 | 0.7442 | 0.0 | 0.7442 | 0.8627 |
| No log | 1.75 | 70 | 0.7480 | 0.0 | 0.7480 | 0.8649 |
| No log | 1.8 | 72 | 0.7431 | -0.0027 | 0.7431 | 0.8620 |
| No log | 1.85 | 74 | 0.7483 | 0.0893 | 0.7483 | 0.8651 |
| No log | 1.9 | 76 | 0.7506 | 0.0026 | 0.7506 | 0.8664 |
| No log | 1.95 | 78 | 0.7455 | 0.0026 | 0.7455 | 0.8634 |
| No log | 2.0 | 80 | 0.7296 | 0.0764 | 0.7296 | 0.8542 |
| No log | 2.05 | 82 | 0.7244 | 0.0410 | 0.7244 | 0.8511 |
| No log | 2.1 | 84 | 0.7185 | 0.0481 | 0.7185 | 0.8476 |
| No log | 2.15 | 86 | 0.7201 | 0.0481 | 0.7201 | 0.8486 |
| No log | 2.2 | 88 | 0.7684 | 0.0688 | 0.7684 | 0.8766 |
| No log | 2.25 | 90 | 0.8471 | -0.0047 | 0.8471 | 0.9204 |
| No log | 2.3 | 92 | 0.9219 | 0.0336 | 0.9219 | 0.9602 |
| No log | 2.35 | 94 | 0.8593 | 0.0661 | 0.8593 | 0.9270 |
| No log | 2.4 | 96 | 0.7927 | 0.1448 | 0.7927 | 0.8903 |
| No log | 2.45 | 98 | 0.7396 | 0.2158 | 0.7396 | 0.8600 |
| No log | 2.5 | 100 | 0.7441 | 0.2158 | 0.7441 | 0.8626 |
| No log | 2.55 | 102 | 0.7275 | 0.1867 | 0.7275 | 0.8530 |
| No log | 2.6 | 104 | 0.7325 | 0.2509 | 0.7325 | 0.8559 |
| No log | 2.65 | 106 | 0.7702 | 0.2218 | 0.7702 | 0.8776 |
| No log | 2.7 | 108 | 0.7711 | 0.2158 | 0.7711 | 0.8781 |
| No log | 2.75 | 110 | 0.7585 | 0.2158 | 0.7585 | 0.8709 |
| No log | 2.8 | 112 | 0.7625 | 0.2158 | 0.7625 | 0.8732 |
| No log | 2.85 | 114 | 0.7762 | 0.2413 | 0.7762 | 0.8810 |
| No log | 2.9 | 116 | 0.7775 | 0.1901 | 0.7775 | 0.8818 |
| No log | 2.95 | 118 | 0.7895 | 0.2847 | 0.7895 | 0.8886 |
| No log | 3.0 | 120 | 0.7612 | 0.1624 | 0.7612 | 0.8724 |
| No log | 3.05 | 122 | 0.7445 | 0.2158 | 0.7445 | 0.8629 |
| No log | 3.1 | 124 | 0.7593 | 0.1010 | 0.7593 | 0.8714 |
| No log | 3.15 | 126 | 0.8076 | 0.0971 | 0.8076 | 0.8986 |
| No log | 3.2 | 128 | 0.7975 | 0.0971 | 0.7975 | 0.8930 |
| No log | 3.25 | 130 | 0.7766 | 0.0697 | 0.7766 | 0.8812 |
| No log | 3.3 | 132 | 0.7984 | 0.1051 | 0.7984 | 0.8935 |
| No log | 3.35 | 134 | 0.9101 | 0.2149 | 0.9101 | 0.9540 |
| No log | 3.4 | 136 | 1.0361 | 0.2521 | 1.0361 | 1.0179 |
| No log | 3.45 | 138 | 1.0476 | 0.2364 | 1.0476 | 1.0235 |
| No log | 3.5 | 140 | 0.9632 | 0.1995 | 0.9632 | 0.9814 |
| No log | 3.55 | 142 | 0.9064 | 0.0584 | 0.9064 | 0.9521 |
| No log | 3.6 | 144 | 0.8631 | 0.0697 | 0.8631 | 0.9290 |
| No log | 3.65 | 146 | 0.9331 | 0.0975 | 0.9331 | 0.9660 |
| No log | 3.7 | 148 | 0.9420 | 0.0856 | 0.9420 | 0.9706 |
| No log | 3.75 | 150 | 0.9851 | 0.2193 | 0.9851 | 0.9925 |
| No log | 3.8 | 152 | 0.9770 | 0.2892 | 0.9770 | 0.9885 |
| No log | 3.85 | 154 | 0.9237 | 0.2439 | 0.9237 | 0.9611 |
| No log | 3.9 | 156 | 0.8649 | 0.2943 | 0.8649 | 0.9300 |
| No log | 3.95 | 158 | 0.8627 | 0.3369 | 0.8627 | 0.9288 |
| No log | 4.0 | 160 | 0.9110 | 0.2912 | 0.9110 | 0.9544 |
| No log | 4.05 | 162 | 0.8747 | 0.3115 | 0.8747 | 0.9353 |
| No log | 4.1 | 164 | 0.8485 | 0.3157 | 0.8485 | 0.9211 |
| No log | 4.15 | 166 | 0.8876 | 0.2059 | 0.8876 | 0.9421 |
| No log | 4.2 | 168 | 0.8396 | 0.2662 | 0.8396 | 0.9163 |
| No log | 4.25 | 170 | 0.7145 | 0.3020 | 0.7145 | 0.8453 |
| No log | 4.3 | 172 | 0.6763 | 0.1829 | 0.6763 | 0.8224 |
| No log | 4.35 | 174 | 0.6848 | 0.2181 | 0.6848 | 0.8275 |
| No log | 4.4 | 176 | 0.7393 | 0.4052 | 0.7393 | 0.8598 |
| No log | 4.45 | 178 | 0.8544 | 0.4251 | 0.8544 | 0.9243 |
| No log | 4.5 | 180 | 0.8607 | 0.3754 | 0.8607 | 0.9277 |
| No log | 4.55 | 182 | 0.8286 | 0.4251 | 0.8286 | 0.9103 |
| No log | 4.6 | 184 | 0.7767 | 0.3167 | 0.7767 | 0.8813 |
| No log | 4.65 | 186 | 0.7748 | 0.3167 | 0.7748 | 0.8802 |
| No log | 4.7 | 188 | 0.7632 | 0.3622 | 0.7632 | 0.8736 |
| No log | 4.75 | 190 | 0.7500 | 0.3341 | 0.7500 | 0.8660 |
| No log | 4.8 | 192 | 0.7483 | 0.2950 | 0.7483 | 0.8651 |
| No log | 4.85 | 194 | 0.7769 | 0.4642 | 0.7769 | 0.8814 |
| No log | 4.9 | 196 | 0.7819 | 0.5120 | 0.7819 | 0.8843 |
| No log | 4.95 | 198 | 0.8057 | 0.3789 | 0.8057 | 0.8976 |
| No log | 5.0 | 200 | 0.8061 | 0.2950 | 0.8061 | 0.8978 |
| No log | 5.05 | 202 | 0.8570 | 0.2967 | 0.8570 | 0.9257 |
| No log | 5.1 | 204 | 0.8946 | 0.4462 | 0.8946 | 0.9458 |
| No log | 5.15 | 206 | 0.8111 | 0.3372 | 0.8111 | 0.9006 |
| No log | 5.2 | 208 | 0.7667 | 0.2847 | 0.7667 | 0.8756 |
| No log | 5.25 | 210 | 0.8306 | 0.4247 | 0.8306 | 0.9114 |
| No log | 5.3 | 212 | 0.9020 | 0.3333 | 0.9020 | 0.9498 |
| No log | 5.35 | 214 | 0.9648 | 0.3727 | 0.9648 | 0.9822 |
| No log | 5.4 | 216 | 0.9330 | 0.3012 | 0.9330 | 0.9659 |
| No log | 5.45 | 218 | 0.9431 | 0.2779 | 0.9431 | 0.9712 |
| No log | 5.5 | 220 | 0.8969 | 0.1029 | 0.8969 | 0.9471 |
| No log | 5.55 | 222 | 0.8776 | 0.1918 | 0.8776 | 0.9368 |
| No log | 5.6 | 224 | 0.8238 | 0.1935 | 0.8238 | 0.9076 |
| No log | 5.65 | 226 | 0.7614 | 0.3127 | 0.7614 | 0.8726 |
| No log | 5.7 | 228 | 0.7729 | 0.3399 | 0.7729 | 0.8791 |
| No log | 5.75 | 230 | 0.8301 | 0.3425 | 0.8301 | 0.9111 |
| No log | 5.8 | 232 | 0.9000 | 0.3579 | 0.9000 | 0.9487 |
| No log | 5.85 | 234 | 0.9826 | 0.2886 | 0.9826 | 0.9913 |
| No log | 5.9 | 236 | 1.0048 | 0.3059 | 1.0048 | 1.0024 |
| No log | 5.95 | 238 | 0.9560 | 0.2886 | 0.9560 | 0.9778 |
| No log | 6.0 | 240 | 0.9846 | 0.2886 | 0.9846 | 0.9923 |
| No log | 6.05 | 242 | 1.0053 | 0.3247 | 1.0053 | 1.0026 |
| No log | 6.1 | 244 | 0.8946 | 0.2923 | 0.8946 | 0.9458 |
| No log | 6.15 | 246 | 0.8653 | 0.2518 | 0.8653 | 0.9302 |
| No log | 6.2 | 248 | 0.8387 | 0.3127 | 0.8387 | 0.9158 |
| No log | 6.25 | 250 | 0.8439 | 0.3060 | 0.8439 | 0.9187 |
| No log | 6.3 | 252 | 0.8582 | 0.2632 | 0.8582 | 0.9264 |
| No log | 6.35 | 254 | 0.9131 | 0.4113 | 0.9131 | 0.9556 |
| No log | 6.4 | 256 | 0.9065 | 0.4113 | 0.9065 | 0.9521 |
| No log | 6.45 | 258 | 0.8590 | 0.4462 | 0.8590 | 0.9268 |
| No log | 6.5 | 260 | 0.8227 | 0.3169 | 0.8227 | 0.9070 |
| No log | 6.55 | 262 | 0.8932 | 0.3371 | 0.8932 | 0.9451 |
| No log | 6.6 | 264 | 1.0092 | 0.2802 | 1.0092 | 1.0046 |
| No log | 6.65 | 266 | 1.0151 | 0.2926 | 1.0151 | 1.0075 |
| No log | 6.7 | 268 | 0.9591 | 0.3417 | 0.9591 | 0.9794 |
| No log | 6.75 | 270 | 0.9389 | 0.3579 | 0.9389 | 0.9690 |
| No log | 6.8 | 272 | 0.9699 | 0.3302 | 0.9699 | 0.9848 |
| No log | 6.85 | 274 | 1.0013 | 0.2501 | 1.0013 | 1.0007 |
| No log | 6.9 | 276 | 1.0755 | 0.2264 | 1.0755 | 1.0371 |
| No log | 6.95 | 278 | 1.1285 | 0.2264 | 1.1285 | 1.0623 |
| No log | 7.0 | 280 | 1.0357 | 0.2796 | 1.0357 | 1.0177 |
| No log | 7.05 | 282 | 0.9956 | 0.3608 | 0.9956 | 0.9978 |
| No log | 7.1 | 284 | 0.9900 | 0.3557 | 0.9900 | 0.9950 |
| No log | 7.15 | 286 | 0.9507 | 0.3557 | 0.9507 | 0.9751 |
| No log | 7.2 | 288 | 0.8655 | 0.4862 | 0.8655 | 0.9303 |
| No log | 7.25 | 290 | 0.8401 | 0.4144 | 0.8401 | 0.9166 |
| No log | 7.3 | 292 | 0.8795 | 0.4462 | 0.8795 | 0.9378 |
| No log | 7.35 | 294 | 1.0027 | 0.2732 | 1.0027 | 1.0014 |
| No log | 7.4 | 296 | 1.0642 | 0.1981 | 1.0642 | 1.0316 |
| No log | 7.45 | 298 | 1.0066 | 0.3114 | 1.0066 | 1.0033 |
| No log | 7.5 | 300 | 0.8917 | 0.4541 | 0.8917 | 0.9443 |
| No log | 7.55 | 302 | 0.8794 | 0.5077 | 0.8794 | 0.9378 |
| No log | 7.6 | 304 | 0.9474 | 0.4044 | 0.9474 | 0.9733 |
| No log | 7.65 | 306 | 0.9984 | 0.3031 | 0.9984 | 0.9992 |
| No log | 7.7 | 308 | 0.9133 | 0.4114 | 0.9133 | 0.9557 |
| No log | 7.75 | 310 | 0.7844 | 0.2605 | 0.7844 | 0.8857 |
| No log | 7.8 | 312 | 0.7335 | 0.2809 | 0.7335 | 0.8564 |
| No log | 7.85 | 314 | 0.7312 | 0.2809 | 0.7312 | 0.8551 |
| No log | 7.9 | 316 | 0.7909 | 0.3121 | 0.7909 | 0.8893 |
| No log | 7.95 | 318 | 1.0015 | 0.2389 | 1.0015 | 1.0007 |
| No log | 8.0 | 320 | 1.2296 | 0.1391 | 1.2296 | 1.1089 |
| No log | 8.05 | 322 | 1.4373 | 0.1122 | 1.4373 | 1.1989 |
| No log | 8.1 | 324 | 1.4303 | 0.1122 | 1.4303 | 1.1960 |
| No log | 8.15 | 326 | 1.2038 | 0.1654 | 1.2038 | 1.0972 |
| No log | 8.2 | 328 | 0.9614 | 0.2075 | 0.9614 | 0.9805 |
| No log | 8.25 | 330 | 0.8355 | 0.3564 | 0.8355 | 0.9141 |
| No log | 8.3 | 332 | 0.8083 | 0.4329 | 0.8083 | 0.8991 |
| No log | 8.35 | 334 | 0.8333 | 0.4644 | 0.8333 | 0.9129 |
| No log | 8.4 | 336 | 0.8453 | 0.4627 | 0.8453 | 0.9194 |
| No log | 8.45 | 338 | 0.8036 | 0.4167 | 0.8036 | 0.8965 |
| No log | 8.5 | 340 | 0.7977 | 0.3399 | 0.7977 | 0.8931 |
| No log | 8.55 | 342 | 0.8403 | 0.3544 | 0.8403 | 0.9167 |
| No log | 8.6 | 344 | 0.8785 | 0.3121 | 0.8785 | 0.9373 |
| No log | 8.65 | 346 | 0.9207 | 0.3207 | 0.9207 | 0.9595 |
| No log | 8.7 | 348 | 0.9339 | 0.2669 | 0.9339 | 0.9664 |
| No log | 8.75 | 350 | 0.8966 | 0.3677 | 0.8966 | 0.9469 |
| No log | 8.8 | 352 | 0.8942 | 0.3329 | 0.8942 | 0.9456 |
| No log | 8.85 | 354 | 0.9491 | 0.3560 | 0.9491 | 0.9742 |
| No log | 8.9 | 356 | 1.1092 | 0.2520 | 1.1092 | 1.0532 |
| No log | 8.95 | 358 | 1.2857 | 0.2197 | 1.2857 | 1.1339 |
| No log | 9.0 | 360 | 1.3019 | 0.1793 | 1.3019 | 1.1410 |
| No log | 9.05 | 362 | 1.1466 | 0.2191 | 1.1466 | 1.0708 |
| No log | 9.1 | 364 | 0.9258 | 0.4113 | 0.9258 | 0.9622 |
| No log | 9.15 | 366 | 0.8345 | 0.3746 | 0.8345 | 0.9135 |
| No log | 9.2 | 368 | 0.8240 | 0.3972 | 0.8240 | 0.9077 |
| No log | 9.25 | 370 | 0.8596 | 0.4462 | 0.8596 | 0.9271 |
| No log | 9.3 | 372 | 0.9124 | 0.4008 | 0.9124 | 0.9552 |
| No log | 9.35 | 374 | 0.9869 | 0.3359 | 0.9869 | 0.9934 |
| No log | 9.4 | 376 | 1.0105 | 0.2926 | 1.0105 | 1.0052 |
| No log | 9.45 | 378 | 0.9363 | 0.4328 | 0.9363 | 0.9676 |
| No log | 9.5 | 380 | 0.8247 | 0.3564 | 0.8247 | 0.9081 |
| No log | 9.55 | 382 | 0.7809 | 0.2589 | 0.7809 | 0.8837 |
| No log | 9.6 | 384 | 0.7887 | 0.2589 | 0.7887 | 0.8881 |
| No log | 9.65 | 386 | 0.8558 | 0.3564 | 0.8558 | 0.9251 |
| No log | 9.7 | 388 | 1.0092 | 0.2659 | 1.0092 | 1.0046 |
| No log | 9.75 | 390 | 1.1964 | 0.1805 | 1.1964 | 1.0938 |
| No log | 9.8 | 392 | 1.2204 | 0.1479 | 1.2204 | 1.1047 |
| No log | 9.85 | 394 | 1.1127 | 0.2264 | 1.1127 | 1.0548 |
| No log | 9.9 | 396 | 0.9637 | 0.3516 | 0.9637 | 0.9817 |
| No log | 9.95 | 398 | 0.8570 | 0.4144 | 0.8570 | 0.9257 |
| No log | 10.0 | 400 | 0.8032 | 0.3099 | 0.8032 | 0.8962 |
| No log | 10.05 | 402 | 0.8018 | 0.2527 | 0.8018 | 0.8954 |
| No log | 10.1 | 404 | 0.8452 | 0.3564 | 0.8452 | 0.9193 |
| No log | 10.15 | 406 | 0.9750 | 0.2651 | 0.9750 | 0.9874 |
| No log | 10.2 | 408 | 1.1752 | 0.1508 | 1.1752 | 1.0841 |
| No log | 10.25 | 410 | 1.2968 | 0.1522 | 1.2968 | 1.1388 |
| No log | 10.3 | 412 | 1.3569 | 0.1414 | 1.3569 | 1.1649 |
| No log | 10.35 | 414 | 1.2820 | 0.1549 | 1.2820 | 1.1323 |
| No log | 10.4 | 416 | 1.1277 | 0.1568 | 1.1277 | 1.0619 |
| No log | 10.45 | 418 | 0.9659 | 0.3761 | 0.9659 | 0.9828 |
| No log | 10.5 | 420 | 0.8109 | 0.4247 | 0.8109 | 0.9005 |
| No log | 10.55 | 422 | 0.7443 | 0.2558 | 0.7443 | 0.8628 |
| No log | 10.6 | 424 | 0.7236 | 0.2261 | 0.7236 | 0.8506 |
| No log | 10.65 | 426 | 0.7324 | 0.2261 | 0.7324 | 0.8558 |
| No log | 10.7 | 428 | 0.7808 | 0.3399 | 0.7808 | 0.8836 |
| No log | 10.75 | 430 | 0.8909 | 0.4404 | 0.8909 | 0.9439 |
| No log | 10.8 | 432 | 1.0132 | 0.4044 | 1.0132 | 1.0066 |
| No log | 10.85 | 434 | 1.0463 | 0.2264 | 1.0463 | 1.0229 |
| No log | 10.9 | 436 | 1.0307 | 0.1858 | 1.0307 | 1.0152 |
| No log | 10.95 | 438 | 0.9524 | 0.2510 | 0.9524 | 0.9759 |
| No log | 11.0 | 440 | 0.9381 | 0.2866 | 0.9381 | 0.9686 |
| No log | 11.05 | 442 | 0.9587 | 0.2460 | 0.9587 | 0.9791 |
| No log | 11.1 | 444 | 0.9440 | 0.2510 | 0.9440 | 0.9716 |
| No log | 11.15 | 446 | 0.9761 | 0.1747 | 0.9761 | 0.9880 |
| No log | 11.2 | 448 | 1.1083 | 0.1870 | 1.1083 | 1.0527 |
| No log | 11.25 | 450 | 1.1684 | 0.1203 | 1.1684 | 1.0809 |
| No log | 11.3 | 452 | 1.1929 | 0.1530 | 1.1929 | 1.0922 |
| No log | 11.35 | 454 | 1.1310 | 0.1671 | 1.1310 | 1.0635 |
| No log | 11.4 | 456 | 1.0862 | 0.0922 | 1.0862 | 1.0422 |
| No log | 11.45 | 458 | 1.0900 | 0.1463 | 1.0900 | 1.0440 |
| No log | 11.5 | 460 | 1.0844 | 0.1671 | 1.0844 | 1.0414 |
| No log | 11.55 | 462 | 1.0999 | 0.1909 | 1.0999 | 1.0488 |
| No log | 11.6 | 464 | 1.1240 | 0.2020 | 1.1240 | 1.0602 |
| No log | 11.65 | 466 | 1.0884 | 0.2020 | 1.0884 | 1.0433 |
| No log | 11.7 | 468 | 1.0469 | 0.2732 | 1.0469 | 1.0232 |
| No log | 11.75 | 470 | 1.0083 | 0.2271 | 1.0083 | 1.0041 |
| No log | 11.8 | 472 | 0.9795 | 0.2119 | 0.9795 | 0.9897 |
| No log | 11.85 | 474 | 0.9908 | 0.2703 | 0.9908 | 0.9954 |
| No log | 11.9 | 476 | 1.0087 | 0.2886 | 1.0087 | 1.0044 |
| No log | 11.95 | 478 | 1.0151 | 0.2552 | 1.0151 | 1.0075 |
| No log | 12.0 | 480 | 1.0537 | 0.2045 | 1.0537 | 1.0265 |
| No log | 12.05 | 482 | 1.0959 | 0.2006 | 1.0959 | 1.0468 |
| No log | 12.1 | 484 | 1.0750 | 0.2006 | 1.0750 | 1.0368 |
| No log | 12.15 | 486 | 1.0557 | 0.2833 | 1.0557 | 1.0275 |
| No log | 12.2 | 488 | 1.0304 | 0.2886 | 1.0304 | 1.0151 |
| No log | 12.25 | 490 | 1.0110 | 0.2995 | 1.0110 | 1.0055 |
| No log | 12.3 | 492 | 0.9812 | 0.3110 | 0.9812 | 0.9906 |
| No log | 12.35 | 494 | 0.9318 | 0.3606 | 0.9318 | 0.9653 |
| No log | 12.4 | 496 | 0.9165 | 0.3359 | 0.9165 | 0.9573 |
| No log | 12.45 | 498 | 0.9682 | 0.2487 | 0.9682 | 0.9840 |
| 0.3594 | 12.5 | 500 | 1.0243 | 0.3193 | 1.0243 | 1.0121 |
| 0.3594 | 12.55 | 502 | 0.9971 | 0.3193 | 0.9971 | 0.9985 |
| 0.3594 | 12.6 | 504 | 0.9262 | 0.3846 | 0.9262 | 0.9624 |
| 0.3594 | 12.65 | 506 | 0.9074 | 0.3918 | 0.9074 | 0.9526 |
| 0.3594 | 12.7 | 508 | 0.9062 | 0.3991 | 0.9062 | 0.9520 |
| 0.3594 | 12.75 | 510 | 0.9505 | 0.2703 | 0.9505 | 0.9750 |
| 0.3594 | 12.8 | 512 | 1.0398 | 0.2683 | 1.0398 | 1.0197 |
| 0.3594 | 12.85 | 514 | 1.1322 | 0.2059 | 1.1322 | 1.0640 |
| 0.3594 | 12.9 | 516 | 1.1282 | 0.2059 | 1.1282 | 1.0622 |
| 0.3594 | 12.95 | 518 | 1.0676 | 0.2683 | 1.0676 | 1.0333 |
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_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k17_task7_organization
Base model
aubmindlab/bert-base-arabertv02