ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k16_task2_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: 0.6828
- Qwk: 0.5727
- Mse: 0.6828
- Rmse: 0.8263
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 | 0.0222 | 2 | 4.4190 | 0.0074 | 4.4190 | 2.1021 |
| No log | 0.0444 | 4 | 3.3703 | 0.0110 | 3.3703 | 1.8358 |
| No log | 0.0667 | 6 | 1.5892 | 0.0142 | 1.5892 | 1.2606 |
| No log | 0.0889 | 8 | 1.2261 | 0.1468 | 1.2261 | 1.1073 |
| No log | 0.1111 | 10 | 1.1820 | 0.1857 | 1.1820 | 1.0872 |
| No log | 0.1333 | 12 | 1.1741 | 0.1417 | 1.1741 | 1.0836 |
| No log | 0.1556 | 14 | 1.1535 | 0.1417 | 1.1535 | 1.0740 |
| No log | 0.1778 | 16 | 1.1692 | 0.1852 | 1.1692 | 1.0813 |
| No log | 0.2 | 18 | 1.2379 | 0.0992 | 1.2379 | 1.1126 |
| No log | 0.2222 | 20 | 1.2614 | 0.1196 | 1.2614 | 1.1231 |
| No log | 0.2444 | 22 | 1.1552 | 0.1865 | 1.1552 | 1.0748 |
| No log | 0.2667 | 24 | 1.1063 | 0.1984 | 1.1063 | 1.0518 |
| No log | 0.2889 | 26 | 1.0525 | 0.3119 | 1.0525 | 1.0259 |
| No log | 0.3111 | 28 | 1.0529 | 0.2621 | 1.0529 | 1.0261 |
| No log | 0.3333 | 30 | 1.0257 | 0.3066 | 1.0257 | 1.0128 |
| No log | 0.3556 | 32 | 1.0519 | 0.3039 | 1.0519 | 1.0256 |
| No log | 0.3778 | 34 | 1.1857 | 0.2815 | 1.1857 | 1.0889 |
| No log | 0.4 | 36 | 1.3220 | 0.2925 | 1.3220 | 1.1498 |
| No log | 0.4222 | 38 | 1.4109 | 0.2927 | 1.4109 | 1.1878 |
| No log | 0.4444 | 40 | 1.3176 | 0.3442 | 1.3176 | 1.1479 |
| No log | 0.4667 | 42 | 1.3797 | 0.3624 | 1.3797 | 1.1746 |
| No log | 0.4889 | 44 | 1.2141 | 0.3689 | 1.2141 | 1.1019 |
| No log | 0.5111 | 46 | 1.0321 | 0.5159 | 1.0321 | 1.0159 |
| No log | 0.5333 | 48 | 0.8357 | 0.5779 | 0.8357 | 0.9142 |
| No log | 0.5556 | 50 | 0.7647 | 0.5447 | 0.7647 | 0.8745 |
| No log | 0.5778 | 52 | 0.7141 | 0.6356 | 0.7141 | 0.8451 |
| No log | 0.6 | 54 | 0.7734 | 0.5426 | 0.7734 | 0.8794 |
| No log | 0.6222 | 56 | 0.7335 | 0.5700 | 0.7335 | 0.8565 |
| No log | 0.6444 | 58 | 0.7380 | 0.5569 | 0.7380 | 0.8591 |
| No log | 0.6667 | 60 | 0.7502 | 0.4879 | 0.7502 | 0.8662 |
| No log | 0.6889 | 62 | 0.7564 | 0.5226 | 0.7564 | 0.8697 |
| No log | 0.7111 | 64 | 0.7203 | 0.6476 | 0.7203 | 0.8487 |
| No log | 0.7333 | 66 | 0.8219 | 0.5427 | 0.8219 | 0.9066 |
| No log | 0.7556 | 68 | 0.8639 | 0.5208 | 0.8639 | 0.9295 |
| No log | 0.7778 | 70 | 0.7540 | 0.6008 | 0.7540 | 0.8683 |
| No log | 0.8 | 72 | 0.6460 | 0.7217 | 0.6460 | 0.8038 |
| No log | 0.8222 | 74 | 0.6670 | 0.6410 | 0.6670 | 0.8167 |
| No log | 0.8444 | 76 | 0.6326 | 0.7232 | 0.6326 | 0.7954 |
| No log | 0.8667 | 78 | 0.6386 | 0.6791 | 0.6386 | 0.7991 |
| No log | 0.8889 | 80 | 0.6423 | 0.6588 | 0.6423 | 0.8014 |
| No log | 0.9111 | 82 | 0.6476 | 0.6368 | 0.6476 | 0.8048 |
| No log | 0.9333 | 84 | 0.7034 | 0.5905 | 0.7034 | 0.8387 |
| No log | 0.9556 | 86 | 0.6789 | 0.6317 | 0.6789 | 0.8240 |
| No log | 0.9778 | 88 | 0.6507 | 0.7066 | 0.6507 | 0.8067 |
| No log | 1.0 | 90 | 0.7936 | 0.5962 | 0.7936 | 0.8909 |
| No log | 1.0222 | 92 | 0.9145 | 0.5384 | 0.9145 | 0.9563 |
| No log | 1.0444 | 94 | 0.8781 | 0.5548 | 0.8781 | 0.9371 |
| No log | 1.0667 | 96 | 0.7339 | 0.5975 | 0.7339 | 0.8567 |
| No log | 1.0889 | 98 | 0.6821 | 0.5327 | 0.6821 | 0.8259 |
| No log | 1.1111 | 100 | 0.6844 | 0.5746 | 0.6844 | 0.8273 |
| No log | 1.1333 | 102 | 0.6546 | 0.6809 | 0.6546 | 0.8091 |
| No log | 1.1556 | 104 | 0.8604 | 0.6007 | 0.8604 | 0.9276 |
| No log | 1.1778 | 106 | 1.0673 | 0.5963 | 1.0673 | 1.0331 |
| No log | 1.2 | 108 | 0.8574 | 0.5836 | 0.8574 | 0.9260 |
| No log | 1.2222 | 110 | 0.6188 | 0.7088 | 0.6188 | 0.7866 |
| No log | 1.2444 | 112 | 0.7067 | 0.5881 | 0.7067 | 0.8407 |
| No log | 1.2667 | 114 | 0.6727 | 0.5678 | 0.6727 | 0.8202 |
| No log | 1.2889 | 116 | 0.6278 | 0.6908 | 0.6278 | 0.7923 |
| No log | 1.3111 | 118 | 0.7104 | 0.6330 | 0.7104 | 0.8428 |
| No log | 1.3333 | 120 | 0.9479 | 0.5028 | 0.9479 | 0.9736 |
| No log | 1.3556 | 122 | 1.0724 | 0.4741 | 1.0724 | 1.0356 |
| No log | 1.3778 | 124 | 0.9706 | 0.5425 | 0.9706 | 0.9852 |
| No log | 1.4 | 126 | 0.7284 | 0.6385 | 0.7284 | 0.8534 |
| No log | 1.4222 | 128 | 0.6674 | 0.6651 | 0.6674 | 0.8170 |
| No log | 1.4444 | 130 | 0.6977 | 0.6385 | 0.6977 | 0.8353 |
| No log | 1.4667 | 132 | 0.8796 | 0.6073 | 0.8796 | 0.9379 |
| No log | 1.4889 | 134 | 1.0217 | 0.5779 | 1.0217 | 1.0108 |
| No log | 1.5111 | 136 | 0.9597 | 0.6179 | 0.9597 | 0.9797 |
| No log | 1.5333 | 138 | 0.7597 | 0.6365 | 0.7597 | 0.8716 |
| No log | 1.5556 | 140 | 0.6667 | 0.7243 | 0.6667 | 0.8165 |
| No log | 1.5778 | 142 | 0.6491 | 0.7029 | 0.6491 | 0.8056 |
| No log | 1.6 | 144 | 0.7584 | 0.6474 | 0.7584 | 0.8708 |
| No log | 1.6222 | 146 | 1.1018 | 0.5437 | 1.1018 | 1.0497 |
| No log | 1.6444 | 148 | 1.1365 | 0.5331 | 1.1365 | 1.0661 |
| No log | 1.6667 | 150 | 0.8769 | 0.6045 | 0.8769 | 0.9364 |
| No log | 1.6889 | 152 | 0.6631 | 0.6481 | 0.6631 | 0.8143 |
| No log | 1.7111 | 154 | 0.6527 | 0.6369 | 0.6527 | 0.8079 |
| No log | 1.7333 | 156 | 0.7453 | 0.6481 | 0.7453 | 0.8633 |
| No log | 1.7556 | 158 | 0.7695 | 0.6568 | 0.7695 | 0.8772 |
| No log | 1.7778 | 160 | 0.7274 | 0.6755 | 0.7274 | 0.8529 |
| No log | 1.8 | 162 | 0.7980 | 0.6568 | 0.7980 | 0.8933 |
| No log | 1.8222 | 164 | 0.9144 | 0.5626 | 0.9144 | 0.9563 |
| No log | 1.8444 | 166 | 0.8779 | 0.5420 | 0.8779 | 0.9370 |
| No log | 1.8667 | 168 | 0.7640 | 0.6109 | 0.7640 | 0.8741 |
| No log | 1.8889 | 170 | 0.7575 | 0.5204 | 0.7575 | 0.8704 |
| No log | 1.9111 | 172 | 0.8076 | 0.5318 | 0.8076 | 0.8987 |
| No log | 1.9333 | 174 | 0.9245 | 0.5455 | 0.9245 | 0.9615 |
| No log | 1.9556 | 176 | 0.9137 | 0.5614 | 0.9137 | 0.9559 |
| No log | 1.9778 | 178 | 0.9302 | 0.6083 | 0.9302 | 0.9645 |
| No log | 2.0 | 180 | 0.8706 | 0.6062 | 0.8706 | 0.9331 |
| No log | 2.0222 | 182 | 0.8067 | 0.6159 | 0.8067 | 0.8981 |
| No log | 2.0444 | 184 | 0.9044 | 0.6219 | 0.9044 | 0.9510 |
| No log | 2.0667 | 186 | 1.0556 | 0.5467 | 1.0556 | 1.0274 |
| No log | 2.0889 | 188 | 0.9795 | 0.4872 | 0.9795 | 0.9897 |
| No log | 2.1111 | 190 | 0.9317 | 0.4714 | 0.9317 | 0.9652 |
| No log | 2.1333 | 192 | 0.9217 | 0.4632 | 0.9217 | 0.9601 |
| No log | 2.1556 | 194 | 0.8560 | 0.5736 | 0.8560 | 0.9252 |
| No log | 2.1778 | 196 | 0.7688 | 0.6026 | 0.7688 | 0.8768 |
| No log | 2.2 | 198 | 0.7808 | 0.6287 | 0.7808 | 0.8836 |
| No log | 2.2222 | 200 | 0.9055 | 0.5962 | 0.9055 | 0.9516 |
| No log | 2.2444 | 202 | 1.0061 | 0.6018 | 1.0061 | 1.0030 |
| No log | 2.2667 | 204 | 0.9056 | 0.5962 | 0.9056 | 0.9516 |
| No log | 2.2889 | 206 | 0.7856 | 0.6139 | 0.7856 | 0.8863 |
| No log | 2.3111 | 208 | 0.8475 | 0.5791 | 0.8475 | 0.9206 |
| No log | 2.3333 | 210 | 0.9197 | 0.5893 | 0.9197 | 0.9590 |
| No log | 2.3556 | 212 | 0.7868 | 0.5685 | 0.7868 | 0.8870 |
| No log | 2.3778 | 214 | 0.7234 | 0.5606 | 0.7234 | 0.8505 |
| No log | 2.4 | 216 | 0.7108 | 0.6084 | 0.7108 | 0.8431 |
| No log | 2.4222 | 218 | 0.7301 | 0.5957 | 0.7301 | 0.8545 |
| No log | 2.4444 | 220 | 0.7361 | 0.5766 | 0.7361 | 0.8579 |
| No log | 2.4667 | 222 | 0.7745 | 0.5741 | 0.7745 | 0.8801 |
| No log | 2.4889 | 224 | 0.8091 | 0.5716 | 0.8091 | 0.8995 |
| No log | 2.5111 | 226 | 0.8455 | 0.5614 | 0.8455 | 0.9195 |
| No log | 2.5333 | 228 | 0.8543 | 0.6207 | 0.8543 | 0.9243 |
| No log | 2.5556 | 230 | 0.8304 | 0.6026 | 0.8304 | 0.9112 |
| No log | 2.5778 | 232 | 0.7653 | 0.6239 | 0.7653 | 0.8748 |
| No log | 2.6 | 234 | 0.7583 | 0.6338 | 0.7583 | 0.8708 |
| No log | 2.6222 | 236 | 0.7554 | 0.6611 | 0.7554 | 0.8691 |
| No log | 2.6444 | 238 | 0.8150 | 0.5965 | 0.8150 | 0.9028 |
| No log | 2.6667 | 240 | 1.0086 | 0.5040 | 1.0086 | 1.0043 |
| No log | 2.6889 | 242 | 1.0630 | 0.4387 | 1.0630 | 1.0310 |
| No log | 2.7111 | 244 | 0.9852 | 0.5094 | 0.9852 | 0.9926 |
| No log | 2.7333 | 246 | 0.9759 | 0.4218 | 0.9759 | 0.9879 |
| No log | 2.7556 | 248 | 1.0294 | 0.4219 | 1.0294 | 1.0146 |
| No log | 2.7778 | 250 | 0.9407 | 0.4222 | 0.9407 | 0.9699 |
| No log | 2.8 | 252 | 0.8621 | 0.5295 | 0.8621 | 0.9285 |
| No log | 2.8222 | 254 | 0.8220 | 0.5303 | 0.8220 | 0.9066 |
| No log | 2.8444 | 256 | 0.8489 | 0.5661 | 0.8489 | 0.9214 |
| No log | 2.8667 | 258 | 0.8724 | 0.5427 | 0.8724 | 0.9340 |
| No log | 2.8889 | 260 | 0.8401 | 0.5719 | 0.8401 | 0.9166 |
| No log | 2.9111 | 262 | 0.7944 | 0.5661 | 0.7944 | 0.8913 |
| No log | 2.9333 | 264 | 0.7678 | 0.6132 | 0.7678 | 0.8762 |
| No log | 2.9556 | 266 | 0.7819 | 0.5675 | 0.7819 | 0.8842 |
| No log | 2.9778 | 268 | 0.8088 | 0.5536 | 0.8088 | 0.8993 |
| No log | 3.0 | 270 | 0.8714 | 0.5379 | 0.8714 | 0.9335 |
| No log | 3.0222 | 272 | 0.9005 | 0.5591 | 0.9005 | 0.9490 |
| No log | 3.0444 | 274 | 0.7931 | 0.6280 | 0.7931 | 0.8905 |
| No log | 3.0667 | 276 | 0.6829 | 0.6635 | 0.6829 | 0.8264 |
| No log | 3.0889 | 278 | 0.6473 | 0.6669 | 0.6473 | 0.8045 |
| No log | 3.1111 | 280 | 0.6525 | 0.6809 | 0.6525 | 0.8078 |
| No log | 3.1333 | 282 | 0.6772 | 0.6849 | 0.6772 | 0.8229 |
| No log | 3.1556 | 284 | 0.6859 | 0.6849 | 0.6859 | 0.8282 |
| No log | 3.1778 | 286 | 0.7696 | 0.6101 | 0.7696 | 0.8772 |
| No log | 3.2 | 288 | 0.8116 | 0.5719 | 0.8116 | 0.9009 |
| No log | 3.2222 | 290 | 0.7688 | 0.6013 | 0.7688 | 0.8768 |
| No log | 3.2444 | 292 | 0.7063 | 0.5898 | 0.7063 | 0.8404 |
| No log | 3.2667 | 294 | 0.6923 | 0.6144 | 0.6923 | 0.8320 |
| No log | 3.2889 | 296 | 0.6867 | 0.5727 | 0.6867 | 0.8287 |
| No log | 3.3111 | 298 | 0.7469 | 0.5844 | 0.7469 | 0.8642 |
| No log | 3.3333 | 300 | 0.7518 | 0.5844 | 0.7518 | 0.8670 |
| No log | 3.3556 | 302 | 0.6773 | 0.5806 | 0.6773 | 0.8230 |
| No log | 3.3778 | 304 | 0.6692 | 0.5983 | 0.6692 | 0.8180 |
| No log | 3.4 | 306 | 0.7203 | 0.5727 | 0.7203 | 0.8487 |
| No log | 3.4222 | 308 | 0.8582 | 0.5419 | 0.8582 | 0.9264 |
| No log | 3.4444 | 310 | 0.9401 | 0.4796 | 0.9401 | 0.9696 |
| No log | 3.4667 | 312 | 0.9305 | 0.5002 | 0.9305 | 0.9646 |
| No log | 3.4889 | 314 | 0.8486 | 0.4772 | 0.8486 | 0.9212 |
| No log | 3.5111 | 316 | 0.7885 | 0.5303 | 0.7885 | 0.8880 |
| No log | 3.5333 | 318 | 0.7946 | 0.5303 | 0.7946 | 0.8914 |
| No log | 3.5556 | 320 | 0.8009 | 0.5447 | 0.8009 | 0.8949 |
| No log | 3.5778 | 322 | 0.8802 | 0.5135 | 0.8802 | 0.9382 |
| No log | 3.6 | 324 | 0.9246 | 0.5286 | 0.9246 | 0.9616 |
| No log | 3.6222 | 326 | 0.9749 | 0.5237 | 0.9749 | 0.9874 |
| No log | 3.6444 | 328 | 0.8434 | 0.5365 | 0.8434 | 0.9184 |
| No log | 3.6667 | 330 | 0.7526 | 0.6518 | 0.7526 | 0.8675 |
| No log | 3.6889 | 332 | 0.7190 | 0.6324 | 0.7190 | 0.8480 |
| No log | 3.7111 | 334 | 0.7283 | 0.6455 | 0.7283 | 0.8534 |
| No log | 3.7333 | 336 | 0.7777 | 0.6076 | 0.7777 | 0.8819 |
| No log | 3.7556 | 338 | 0.9210 | 0.4921 | 0.9210 | 0.9597 |
| No log | 3.7778 | 340 | 0.9580 | 0.4487 | 0.9580 | 0.9788 |
| No log | 3.8 | 342 | 0.8616 | 0.4874 | 0.8616 | 0.9282 |
| No log | 3.8222 | 344 | 0.7685 | 0.6110 | 0.7685 | 0.8766 |
| No log | 3.8444 | 346 | 0.7303 | 0.6110 | 0.7303 | 0.8546 |
| No log | 3.8667 | 348 | 0.7866 | 0.5661 | 0.7866 | 0.8869 |
| No log | 3.8889 | 350 | 0.9428 | 0.5342 | 0.9428 | 0.9710 |
| No log | 3.9111 | 352 | 0.9978 | 0.5134 | 0.9978 | 0.9989 |
| No log | 3.9333 | 354 | 0.9154 | 0.5190 | 0.9154 | 0.9568 |
| No log | 3.9556 | 356 | 0.7906 | 0.5996 | 0.7906 | 0.8892 |
| No log | 3.9778 | 358 | 0.7442 | 0.5555 | 0.7442 | 0.8627 |
| No log | 4.0 | 360 | 0.7244 | 0.5392 | 0.7244 | 0.8511 |
| No log | 4.0222 | 362 | 0.7216 | 0.5647 | 0.7216 | 0.8495 |
| No log | 4.0444 | 364 | 0.7253 | 0.5854 | 0.7253 | 0.8516 |
| No log | 4.0667 | 366 | 0.7139 | 0.5969 | 0.7139 | 0.8449 |
| No log | 4.0889 | 368 | 0.7057 | 0.6272 | 0.7057 | 0.8401 |
| No log | 4.1111 | 370 | 0.7499 | 0.6089 | 0.7499 | 0.8660 |
| No log | 4.1333 | 372 | 0.9075 | 0.5130 | 0.9075 | 0.9526 |
| No log | 4.1556 | 374 | 0.9595 | 0.5177 | 0.9595 | 0.9795 |
| No log | 4.1778 | 376 | 0.8502 | 0.5451 | 0.8502 | 0.9221 |
| No log | 4.2 | 378 | 0.7661 | 0.5766 | 0.7661 | 0.8752 |
| No log | 4.2222 | 380 | 0.6797 | 0.6412 | 0.6797 | 0.8244 |
| No log | 4.2444 | 382 | 0.6717 | 0.5864 | 0.6717 | 0.8196 |
| No log | 4.2667 | 384 | 0.6907 | 0.6007 | 0.6907 | 0.8311 |
| No log | 4.2889 | 386 | 0.6411 | 0.6495 | 0.6411 | 0.8007 |
| No log | 4.3111 | 388 | 0.6027 | 0.7053 | 0.6027 | 0.7763 |
| No log | 4.3333 | 390 | 0.7559 | 0.6825 | 0.7559 | 0.8694 |
| No log | 4.3556 | 392 | 0.9875 | 0.5376 | 0.9875 | 0.9937 |
| No log | 4.3778 | 394 | 0.9974 | 0.6066 | 0.9974 | 0.9987 |
| No log | 4.4 | 396 | 0.9047 | 0.5626 | 0.9047 | 0.9512 |
| No log | 4.4222 | 398 | 0.7454 | 0.5875 | 0.7454 | 0.8633 |
| No log | 4.4444 | 400 | 0.7155 | 0.6110 | 0.7155 | 0.8459 |
| No log | 4.4667 | 402 | 0.7032 | 0.5959 | 0.7032 | 0.8386 |
| No log | 4.4889 | 404 | 0.6946 | 0.6263 | 0.6946 | 0.8334 |
| No log | 4.5111 | 406 | 0.6776 | 0.6262 | 0.6776 | 0.8232 |
| No log | 4.5333 | 408 | 0.6736 | 0.5866 | 0.6736 | 0.8207 |
| No log | 4.5556 | 410 | 0.6696 | 0.6281 | 0.6696 | 0.8183 |
| No log | 4.5778 | 412 | 0.6874 | 0.5847 | 0.6874 | 0.8291 |
| No log | 4.6 | 414 | 0.7798 | 0.6122 | 0.7798 | 0.8830 |
| No log | 4.6222 | 416 | 0.9494 | 0.5956 | 0.9494 | 0.9743 |
| No log | 4.6444 | 418 | 0.9273 | 0.5956 | 0.9273 | 0.9629 |
| No log | 4.6667 | 420 | 0.7686 | 0.6201 | 0.7686 | 0.8767 |
| No log | 4.6889 | 422 | 0.7088 | 0.6400 | 0.7088 | 0.8419 |
| No log | 4.7111 | 424 | 0.7028 | 0.6162 | 0.7028 | 0.8383 |
| No log | 4.7333 | 426 | 0.7390 | 0.5447 | 0.7390 | 0.8596 |
| No log | 4.7556 | 428 | 0.8187 | 0.5638 | 0.8187 | 0.9048 |
| No log | 4.7778 | 430 | 0.9177 | 0.5445 | 0.9177 | 0.9580 |
| No log | 4.8 | 432 | 0.9581 | 0.5425 | 0.9581 | 0.9788 |
| No log | 4.8222 | 434 | 0.8870 | 0.5705 | 0.8870 | 0.9418 |
| No log | 4.8444 | 436 | 0.7605 | 0.6398 | 0.7605 | 0.8720 |
| No log | 4.8667 | 438 | 0.6735 | 0.5766 | 0.6735 | 0.8207 |
| No log | 4.8889 | 440 | 0.6631 | 0.6085 | 0.6631 | 0.8143 |
| No log | 4.9111 | 442 | 0.6654 | 0.6085 | 0.6654 | 0.8157 |
| No log | 4.9333 | 444 | 0.6724 | 0.6217 | 0.6724 | 0.8200 |
| No log | 4.9556 | 446 | 0.6699 | 0.6269 | 0.6699 | 0.8185 |
| No log | 4.9778 | 448 | 0.6743 | 0.6384 | 0.6743 | 0.8211 |
| No log | 5.0 | 450 | 0.6731 | 0.5806 | 0.6731 | 0.8204 |
| No log | 5.0222 | 452 | 0.7121 | 0.6091 | 0.7121 | 0.8438 |
| No log | 5.0444 | 454 | 0.7152 | 0.5814 | 0.7152 | 0.8457 |
| No log | 5.0667 | 456 | 0.6804 | 0.5416 | 0.6804 | 0.8249 |
| No log | 5.0889 | 458 | 0.6798 | 0.5753 | 0.6798 | 0.8245 |
| No log | 5.1111 | 460 | 0.7087 | 0.6189 | 0.7087 | 0.8418 |
| No log | 5.1333 | 462 | 0.7317 | 0.6282 | 0.7317 | 0.8554 |
| No log | 5.1556 | 464 | 0.7154 | 0.6189 | 0.7154 | 0.8458 |
| No log | 5.1778 | 466 | 0.6671 | 0.6120 | 0.6671 | 0.8167 |
| No log | 5.2 | 468 | 0.6328 | 0.6343 | 0.6328 | 0.7955 |
| No log | 5.2222 | 470 | 0.6375 | 0.6203 | 0.6375 | 0.7985 |
| No log | 5.2444 | 472 | 0.6956 | 0.6580 | 0.6956 | 0.8340 |
| No log | 5.2667 | 474 | 0.8525 | 0.6073 | 0.8525 | 0.9233 |
| No log | 5.2889 | 476 | 0.9501 | 0.5486 | 0.9501 | 0.9747 |
| No log | 5.3111 | 478 | 0.8881 | 0.5984 | 0.8881 | 0.9424 |
| No log | 5.3333 | 480 | 0.7677 | 0.6398 | 0.7677 | 0.8762 |
| No log | 5.3556 | 482 | 0.6699 | 0.6718 | 0.6699 | 0.8185 |
| No log | 5.3778 | 484 | 0.6524 | 0.6406 | 0.6524 | 0.8077 |
| No log | 5.4 | 486 | 0.6383 | 0.6791 | 0.6383 | 0.7989 |
| No log | 5.4222 | 488 | 0.6460 | 0.6791 | 0.6460 | 0.8037 |
| No log | 5.4444 | 490 | 0.6661 | 0.6384 | 0.6661 | 0.8162 |
| No log | 5.4667 | 492 | 0.7074 | 0.6464 | 0.7074 | 0.8411 |
| No log | 5.4889 | 494 | 0.7565 | 0.6269 | 0.7565 | 0.8697 |
| No log | 5.5111 | 496 | 0.7837 | 0.6182 | 0.7837 | 0.8852 |
| No log | 5.5333 | 498 | 0.7718 | 0.6182 | 0.7718 | 0.8785 |
| 0.3447 | 5.5556 | 500 | 0.7422 | 0.6131 | 0.7422 | 0.8615 |
| 0.3447 | 5.5778 | 502 | 0.7026 | 0.6040 | 0.7026 | 0.8382 |
| 0.3447 | 5.6 | 504 | 0.7003 | 0.6320 | 0.7003 | 0.8369 |
| 0.3447 | 5.6222 | 506 | 0.7227 | 0.5839 | 0.7227 | 0.8501 |
| 0.3447 | 5.6444 | 508 | 0.6905 | 0.6320 | 0.6905 | 0.8310 |
| 0.3447 | 5.6667 | 510 | 0.6731 | 0.5963 | 0.6731 | 0.8204 |
| 0.3447 | 5.6889 | 512 | 0.6849 | 0.5753 | 0.6849 | 0.8276 |
| 0.3447 | 5.7111 | 514 | 0.6580 | 0.6255 | 0.6580 | 0.8112 |
| 0.3447 | 5.7333 | 516 | 0.6777 | 0.6460 | 0.6777 | 0.8232 |
| 0.3447 | 5.7556 | 518 | 0.6902 | 0.6154 | 0.6902 | 0.8308 |
| 0.3447 | 5.7778 | 520 | 0.6848 | 0.5964 | 0.6848 | 0.8275 |
| 0.3447 | 5.8 | 522 | 0.7033 | 0.5650 | 0.7033 | 0.8386 |
| 0.3447 | 5.8222 | 524 | 0.7564 | 0.6101 | 0.7564 | 0.8697 |
| 0.3447 | 5.8444 | 526 | 0.7433 | 0.5962 | 0.7433 | 0.8622 |
| 0.3447 | 5.8667 | 528 | 0.6828 | 0.5727 | 0.6828 | 0.8263 |
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_k16_task2_organization
Base model
aubmindlab/bert-base-arabertv02