ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k4_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: 0.7732
- Qwk: 0.5750
- Mse: 0.7732
- Rmse: 0.8793
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 | 0.0870 | 2 | 4.6827 | 0.0010 | 4.6827 | 2.1640 |
| No log | 0.1739 | 4 | 2.8316 | -0.0020 | 2.8316 | 1.6827 |
| No log | 0.2609 | 6 | 1.5107 | 0.0504 | 1.5107 | 1.2291 |
| No log | 0.3478 | 8 | 1.1460 | 0.2662 | 1.1460 | 1.0705 |
| No log | 0.4348 | 10 | 1.1142 | 0.2290 | 1.1142 | 1.0555 |
| No log | 0.5217 | 12 | 1.1008 | 0.1918 | 1.1008 | 1.0492 |
| No log | 0.6087 | 14 | 1.1053 | 0.1649 | 1.1053 | 1.0513 |
| No log | 0.6957 | 16 | 1.1145 | 0.1482 | 1.1145 | 1.0557 |
| No log | 0.7826 | 18 | 1.1600 | 0.0711 | 1.1600 | 1.0770 |
| No log | 0.8696 | 20 | 1.5405 | 0.0845 | 1.5405 | 1.2412 |
| No log | 0.9565 | 22 | 1.6194 | 0.0586 | 1.6194 | 1.2726 |
| No log | 1.0435 | 24 | 1.3259 | 0.0509 | 1.3259 | 1.1515 |
| No log | 1.1304 | 26 | 1.1203 | 0.2188 | 1.1203 | 1.0585 |
| No log | 1.2174 | 28 | 1.1792 | 0.2658 | 1.1792 | 1.0859 |
| No log | 1.3043 | 30 | 1.2598 | 0.2459 | 1.2598 | 1.1224 |
| No log | 1.3913 | 32 | 1.2961 | 0.2634 | 1.2961 | 1.1385 |
| No log | 1.4783 | 34 | 1.2520 | 0.2902 | 1.2520 | 1.1189 |
| No log | 1.5652 | 36 | 1.1840 | 0.3042 | 1.1840 | 1.0881 |
| No log | 1.6522 | 38 | 1.2596 | 0.2446 | 1.2596 | 1.1223 |
| No log | 1.7391 | 40 | 1.2660 | 0.2608 | 1.2660 | 1.1251 |
| No log | 1.8261 | 42 | 1.3915 | 0.3061 | 1.3915 | 1.1796 |
| No log | 1.9130 | 44 | 1.4585 | 0.3113 | 1.4585 | 1.2077 |
| No log | 2.0 | 46 | 1.3695 | 0.3233 | 1.3695 | 1.1703 |
| No log | 2.0870 | 48 | 1.1587 | 0.3265 | 1.1587 | 1.0764 |
| No log | 2.1739 | 50 | 0.9712 | 0.4685 | 0.9712 | 0.9855 |
| No log | 2.2609 | 52 | 0.8969 | 0.3363 | 0.8969 | 0.9470 |
| No log | 2.3478 | 54 | 0.8791 | 0.3282 | 0.8791 | 0.9376 |
| No log | 2.4348 | 56 | 0.8702 | 0.4308 | 0.8702 | 0.9329 |
| No log | 2.5217 | 58 | 0.9856 | 0.4068 | 0.9856 | 0.9928 |
| No log | 2.6087 | 60 | 1.0533 | 0.3768 | 1.0533 | 1.0263 |
| No log | 2.6957 | 62 | 0.9936 | 0.4454 | 0.9936 | 0.9968 |
| No log | 2.7826 | 64 | 0.8904 | 0.4889 | 0.8904 | 0.9436 |
| No log | 2.8696 | 66 | 0.8868 | 0.4165 | 0.8868 | 0.9417 |
| No log | 2.9565 | 68 | 0.9061 | 0.4295 | 0.9061 | 0.9519 |
| No log | 3.0435 | 70 | 0.9001 | 0.4495 | 0.9001 | 0.9487 |
| No log | 3.1304 | 72 | 0.8912 | 0.4956 | 0.8912 | 0.9440 |
| No log | 3.2174 | 74 | 0.9557 | 0.5249 | 0.9557 | 0.9776 |
| No log | 3.3043 | 76 | 0.9919 | 0.5102 | 0.9919 | 0.9959 |
| No log | 3.3913 | 78 | 0.9743 | 0.5574 | 0.9743 | 0.9871 |
| No log | 3.4783 | 80 | 1.0223 | 0.5222 | 1.0223 | 1.0111 |
| No log | 3.5652 | 82 | 1.0733 | 0.4521 | 1.0733 | 1.0360 |
| No log | 3.6522 | 84 | 0.9865 | 0.4449 | 0.9865 | 0.9932 |
| No log | 3.7391 | 86 | 0.8437 | 0.5396 | 0.8437 | 0.9185 |
| No log | 3.8261 | 88 | 0.8051 | 0.4800 | 0.8051 | 0.8973 |
| No log | 3.9130 | 90 | 0.8963 | 0.4932 | 0.8963 | 0.9467 |
| No log | 4.0 | 92 | 1.0226 | 0.3727 | 1.0226 | 1.0112 |
| No log | 4.0870 | 94 | 0.9629 | 0.4476 | 0.9629 | 0.9813 |
| No log | 4.1739 | 96 | 0.9107 | 0.4048 | 0.9107 | 0.9543 |
| No log | 4.2609 | 98 | 1.0305 | 0.4661 | 1.0305 | 1.0151 |
| No log | 4.3478 | 100 | 1.1456 | 0.4611 | 1.1456 | 1.0703 |
| No log | 4.4348 | 102 | 1.1777 | 0.4501 | 1.1777 | 1.0852 |
| No log | 4.5217 | 104 | 1.0804 | 0.4519 | 1.0804 | 1.0394 |
| No log | 4.6087 | 106 | 1.0689 | 0.4936 | 1.0689 | 1.0339 |
| No log | 4.6957 | 108 | 1.0266 | 0.5299 | 1.0266 | 1.0132 |
| No log | 4.7826 | 110 | 1.0006 | 0.5635 | 1.0006 | 1.0003 |
| No log | 4.8696 | 112 | 0.9851 | 0.4745 | 0.9851 | 0.9925 |
| No log | 4.9565 | 114 | 0.9220 | 0.5312 | 0.9220 | 0.9602 |
| No log | 5.0435 | 116 | 0.8873 | 0.5121 | 0.8873 | 0.9419 |
| No log | 5.1304 | 118 | 0.8751 | 0.4936 | 0.8751 | 0.9354 |
| No log | 5.2174 | 120 | 0.9128 | 0.5102 | 0.9128 | 0.9554 |
| No log | 5.3043 | 122 | 1.0115 | 0.5249 | 1.0115 | 1.0057 |
| No log | 5.3913 | 124 | 1.1448 | 0.4905 | 1.1448 | 1.0699 |
| No log | 5.4783 | 126 | 1.1351 | 0.4905 | 1.1351 | 1.0654 |
| No log | 5.5652 | 128 | 0.9847 | 0.5134 | 0.9847 | 0.9923 |
| No log | 5.6522 | 130 | 0.8209 | 0.5235 | 0.8209 | 0.9061 |
| No log | 5.7391 | 132 | 0.7201 | 0.6176 | 0.7201 | 0.8486 |
| No log | 5.8261 | 134 | 0.7234 | 0.5583 | 0.7234 | 0.8505 |
| No log | 5.9130 | 136 | 0.7611 | 0.5367 | 0.7611 | 0.8724 |
| No log | 6.0 | 138 | 0.8841 | 0.5542 | 0.8841 | 0.9402 |
| No log | 6.0870 | 140 | 0.9671 | 0.5781 | 0.9671 | 0.9834 |
| No log | 6.1739 | 142 | 1.0286 | 0.5537 | 1.0286 | 1.0142 |
| No log | 6.2609 | 144 | 0.9825 | 0.5556 | 0.9825 | 0.9912 |
| No log | 6.3478 | 146 | 1.0197 | 0.5144 | 1.0197 | 1.0098 |
| No log | 6.4348 | 148 | 1.0117 | 0.5232 | 1.0117 | 1.0059 |
| No log | 6.5217 | 150 | 0.9525 | 0.5077 | 0.9525 | 0.9760 |
| No log | 6.6087 | 152 | 0.8934 | 0.4792 | 0.8934 | 0.9452 |
| No log | 6.6957 | 154 | 0.9058 | 0.4546 | 0.9058 | 0.9518 |
| No log | 6.7826 | 156 | 1.0064 | 0.4539 | 1.0064 | 1.0032 |
| No log | 6.8696 | 158 | 1.2208 | 0.4487 | 1.2208 | 1.1049 |
| No log | 6.9565 | 160 | 1.3388 | 0.4726 | 1.3388 | 1.1571 |
| No log | 7.0435 | 162 | 1.1447 | 0.4955 | 1.1447 | 1.0699 |
| No log | 7.1304 | 164 | 0.9170 | 0.5172 | 0.9170 | 0.9576 |
| No log | 7.2174 | 166 | 0.8386 | 0.5678 | 0.8386 | 0.9157 |
| No log | 7.3043 | 168 | 0.8125 | 0.5558 | 0.8125 | 0.9014 |
| No log | 7.3913 | 170 | 0.7807 | 0.5898 | 0.7807 | 0.8836 |
| No log | 7.4783 | 172 | 0.7616 | 0.5959 | 0.7616 | 0.8727 |
| No log | 7.5652 | 174 | 0.7463 | 0.5774 | 0.7463 | 0.8639 |
| No log | 7.6522 | 176 | 0.7381 | 0.5661 | 0.7381 | 0.8591 |
| No log | 7.7391 | 178 | 0.7336 | 0.6070 | 0.7336 | 0.8565 |
| No log | 7.8261 | 180 | 0.7326 | 0.5925 | 0.7326 | 0.8559 |
| No log | 7.9130 | 182 | 0.7541 | 0.6191 | 0.7541 | 0.8684 |
| No log | 8.0 | 184 | 0.8568 | 0.5776 | 0.8568 | 0.9257 |
| No log | 8.0870 | 186 | 1.1351 | 0.5449 | 1.1351 | 1.0654 |
| No log | 8.1739 | 188 | 1.1981 | 0.5598 | 1.1981 | 1.0946 |
| No log | 8.2609 | 190 | 1.0364 | 0.5443 | 1.0364 | 1.0180 |
| No log | 8.3478 | 192 | 0.8715 | 0.5907 | 0.8715 | 0.9335 |
| No log | 8.4348 | 194 | 0.8011 | 0.5851 | 0.8011 | 0.8950 |
| No log | 8.5217 | 196 | 0.7873 | 0.5607 | 0.7873 | 0.8873 |
| No log | 8.6087 | 198 | 0.7891 | 0.5647 | 0.7891 | 0.8883 |
| No log | 8.6957 | 200 | 0.8226 | 0.5586 | 0.8226 | 0.9070 |
| No log | 8.7826 | 202 | 0.8867 | 0.4958 | 0.8867 | 0.9416 |
| No log | 8.8696 | 204 | 0.9223 | 0.5637 | 0.9223 | 0.9603 |
| No log | 8.9565 | 206 | 0.9021 | 0.5556 | 0.9021 | 0.9498 |
| No log | 9.0435 | 208 | 0.8465 | 0.6026 | 0.8465 | 0.9200 |
| No log | 9.1304 | 210 | 0.8324 | 0.5957 | 0.8324 | 0.9124 |
| No log | 9.2174 | 212 | 0.8396 | 0.5561 | 0.8396 | 0.9163 |
| No log | 9.3043 | 214 | 0.8499 | 0.5561 | 0.8499 | 0.9219 |
| No log | 9.3913 | 216 | 0.8791 | 0.5268 | 0.8791 | 0.9376 |
| No log | 9.4783 | 218 | 0.9394 | 0.4732 | 0.9394 | 0.9692 |
| No log | 9.5652 | 220 | 0.9253 | 0.4732 | 0.9253 | 0.9619 |
| No log | 9.6522 | 222 | 0.8405 | 0.5102 | 0.8405 | 0.9168 |
| No log | 9.7391 | 224 | 0.8337 | 0.5509 | 0.8337 | 0.9131 |
| No log | 9.8261 | 226 | 0.8687 | 0.4994 | 0.8687 | 0.9320 |
| No log | 9.9130 | 228 | 0.8811 | 0.5010 | 0.8811 | 0.9387 |
| No log | 10.0 | 230 | 0.9505 | 0.5430 | 0.9505 | 0.9749 |
| No log | 10.0870 | 232 | 1.1593 | 0.3948 | 1.1593 | 1.0767 |
| No log | 10.1739 | 234 | 1.1754 | 0.3581 | 1.1754 | 1.0842 |
| No log | 10.2609 | 236 | 1.0276 | 0.4505 | 1.0276 | 1.0137 |
| No log | 10.3478 | 238 | 0.8750 | 0.5624 | 0.8750 | 0.9354 |
| No log | 10.4348 | 240 | 0.8035 | 0.5938 | 0.8035 | 0.8964 |
| No log | 10.5217 | 242 | 0.7958 | 0.5699 | 0.7958 | 0.8921 |
| No log | 10.6087 | 244 | 0.7847 | 0.6051 | 0.7847 | 0.8858 |
| No log | 10.6957 | 246 | 0.7823 | 0.5944 | 0.7823 | 0.8845 |
| No log | 10.7826 | 248 | 0.7805 | 0.6230 | 0.7805 | 0.8834 |
| No log | 10.8696 | 250 | 0.8462 | 0.5365 | 0.8462 | 0.9199 |
| No log | 10.9565 | 252 | 0.8917 | 0.4841 | 0.8917 | 0.9443 |
| No log | 11.0435 | 254 | 0.9076 | 0.5015 | 0.9076 | 0.9527 |
| No log | 11.1304 | 256 | 0.8430 | 0.5561 | 0.8430 | 0.9182 |
| No log | 11.2174 | 258 | 0.8032 | 0.5481 | 0.8032 | 0.8962 |
| No log | 11.3043 | 260 | 0.8223 | 0.5121 | 0.8223 | 0.9068 |
| No log | 11.3913 | 262 | 0.8614 | 0.5138 | 0.8614 | 0.9281 |
| No log | 11.4783 | 264 | 0.8445 | 0.4968 | 0.8445 | 0.9189 |
| No log | 11.5652 | 266 | 0.8770 | 0.5787 | 0.8770 | 0.9365 |
| No log | 11.6522 | 268 | 0.9876 | 0.4714 | 0.9876 | 0.9938 |
| No log | 11.7391 | 270 | 1.0735 | 0.4123 | 1.0735 | 1.0361 |
| No log | 11.8261 | 272 | 1.1575 | 0.3752 | 1.1575 | 1.0759 |
| No log | 11.9130 | 274 | 1.1092 | 0.3785 | 1.1092 | 1.0532 |
| No log | 12.0 | 276 | 0.9616 | 0.5216 | 0.9616 | 0.9806 |
| No log | 12.0870 | 278 | 0.8480 | 0.5864 | 0.8480 | 0.9209 |
| No log | 12.1739 | 280 | 0.8029 | 0.5509 | 0.8029 | 0.8960 |
| No log | 12.2609 | 282 | 0.7931 | 0.5487 | 0.7931 | 0.8905 |
| No log | 12.3478 | 284 | 0.7953 | 0.5420 | 0.7953 | 0.8918 |
| No log | 12.4348 | 286 | 0.7992 | 0.5673 | 0.7992 | 0.8940 |
| No log | 12.5217 | 288 | 0.7935 | 0.5498 | 0.7935 | 0.8908 |
| No log | 12.6087 | 290 | 0.8112 | 0.5841 | 0.8112 | 0.9007 |
| No log | 12.6957 | 292 | 0.8136 | 0.5847 | 0.8136 | 0.9020 |
| No log | 12.7826 | 294 | 0.7690 | 0.5674 | 0.7690 | 0.8769 |
| No log | 12.8696 | 296 | 0.7597 | 0.5610 | 0.7597 | 0.8716 |
| No log | 12.9565 | 298 | 0.7641 | 0.5495 | 0.7641 | 0.8741 |
| No log | 13.0435 | 300 | 0.8004 | 0.5677 | 0.8004 | 0.8947 |
| No log | 13.1304 | 302 | 0.8373 | 0.5534 | 0.8373 | 0.9151 |
| No log | 13.2174 | 304 | 0.8617 | 0.5487 | 0.8617 | 0.9283 |
| No log | 13.3043 | 306 | 0.8619 | 0.5245 | 0.8619 | 0.9284 |
| No log | 13.3913 | 308 | 0.8400 | 0.5610 | 0.8400 | 0.9165 |
| No log | 13.4783 | 310 | 0.8524 | 0.5418 | 0.8524 | 0.9233 |
| No log | 13.5652 | 312 | 0.8508 | 0.5683 | 0.8508 | 0.9224 |
| No log | 13.6522 | 314 | 0.8410 | 0.5892 | 0.8410 | 0.9171 |
| No log | 13.7391 | 316 | 0.8526 | 0.5624 | 0.8526 | 0.9233 |
| No log | 13.8261 | 318 | 0.9147 | 0.5772 | 0.9147 | 0.9564 |
| No log | 13.9130 | 320 | 0.9192 | 0.5124 | 0.9192 | 0.9587 |
| No log | 14.0 | 322 | 0.8564 | 0.5114 | 0.8564 | 0.9254 |
| No log | 14.0870 | 324 | 0.8230 | 0.5283 | 0.8230 | 0.9072 |
| No log | 14.1739 | 326 | 0.8115 | 0.5184 | 0.8115 | 0.9008 |
| No log | 14.2609 | 328 | 0.8099 | 0.5203 | 0.8099 | 0.9000 |
| No log | 14.3478 | 330 | 0.8173 | 0.5165 | 0.8173 | 0.9041 |
| No log | 14.4348 | 332 | 0.8363 | 0.5610 | 0.8363 | 0.9145 |
| No log | 14.5217 | 334 | 0.9124 | 0.5268 | 0.9124 | 0.9552 |
| No log | 14.6087 | 336 | 0.9516 | 0.5614 | 0.9516 | 0.9755 |
| No log | 14.6957 | 338 | 0.9233 | 0.5721 | 0.9233 | 0.9609 |
| No log | 14.7826 | 340 | 0.8597 | 0.5313 | 0.8597 | 0.9272 |
| No log | 14.8696 | 342 | 0.8117 | 0.5787 | 0.8117 | 0.9009 |
| No log | 14.9565 | 344 | 0.8143 | 0.4764 | 0.8143 | 0.9024 |
| No log | 15.0435 | 346 | 0.8525 | 0.5135 | 0.8525 | 0.9233 |
| No log | 15.1304 | 348 | 0.8753 | 0.4007 | 0.8753 | 0.9356 |
| No log | 15.2174 | 350 | 0.8873 | 0.4010 | 0.8873 | 0.9420 |
| No log | 15.3043 | 352 | 0.8524 | 0.5473 | 0.8524 | 0.9232 |
| No log | 15.3913 | 354 | 0.8045 | 0.5696 | 0.8045 | 0.8969 |
| No log | 15.4783 | 356 | 0.7949 | 0.5611 | 0.7949 | 0.8915 |
| No log | 15.5652 | 358 | 0.8366 | 0.6110 | 0.8366 | 0.9147 |
| No log | 15.6522 | 360 | 0.8551 | 0.6054 | 0.8551 | 0.9247 |
| No log | 15.7391 | 362 | 0.8197 | 0.6208 | 0.8197 | 0.9054 |
| No log | 15.8261 | 364 | 0.7931 | 0.5670 | 0.7931 | 0.8906 |
| No log | 15.9130 | 366 | 0.8208 | 0.5836 | 0.8208 | 0.9060 |
| No log | 16.0 | 368 | 0.8608 | 0.5954 | 0.8608 | 0.9278 |
| No log | 16.0870 | 370 | 0.8209 | 0.5819 | 0.8209 | 0.9061 |
| No log | 16.1739 | 372 | 0.7901 | 0.5649 | 0.7901 | 0.8889 |
| No log | 16.2609 | 374 | 0.7589 | 0.5868 | 0.7589 | 0.8712 |
| No log | 16.3478 | 376 | 0.7497 | 0.5983 | 0.7497 | 0.8659 |
| No log | 16.4348 | 378 | 0.7488 | 0.5974 | 0.7488 | 0.8653 |
| No log | 16.5217 | 380 | 0.7690 | 0.5944 | 0.7690 | 0.8769 |
| No log | 16.6087 | 382 | 0.8451 | 0.6111 | 0.8451 | 0.9193 |
| No log | 16.6957 | 384 | 0.8987 | 0.5905 | 0.8987 | 0.9480 |
| No log | 16.7826 | 386 | 0.8691 | 0.5905 | 0.8691 | 0.9323 |
| No log | 16.8696 | 388 | 0.7945 | 0.5648 | 0.7945 | 0.8914 |
| No log | 16.9565 | 390 | 0.7619 | 0.5974 | 0.7619 | 0.8729 |
| No log | 17.0435 | 392 | 0.7651 | 0.5410 | 0.7651 | 0.8747 |
| No log | 17.1304 | 394 | 0.7633 | 0.5688 | 0.7633 | 0.8737 |
| No log | 17.2174 | 396 | 0.7790 | 0.6338 | 0.7790 | 0.8826 |
| No log | 17.3043 | 398 | 0.7846 | 0.6089 | 0.7846 | 0.8858 |
| No log | 17.3913 | 400 | 0.7555 | 0.6228 | 0.7555 | 0.8692 |
| No log | 17.4783 | 402 | 0.7540 | 0.6228 | 0.7540 | 0.8683 |
| No log | 17.5652 | 404 | 0.7720 | 0.6385 | 0.7720 | 0.8786 |
| No log | 17.6522 | 406 | 0.7775 | 0.6385 | 0.7775 | 0.8818 |
| No log | 17.7391 | 408 | 0.8063 | 0.6214 | 0.8063 | 0.8979 |
| No log | 17.8261 | 410 | 0.7893 | 0.6434 | 0.7893 | 0.8884 |
| No log | 17.9130 | 412 | 0.7461 | 0.6404 | 0.7461 | 0.8638 |
| No log | 18.0 | 414 | 0.7302 | 0.5898 | 0.7302 | 0.8545 |
| No log | 18.0870 | 416 | 0.7343 | 0.5971 | 0.7343 | 0.8569 |
| No log | 18.1739 | 418 | 0.7417 | 0.5650 | 0.7417 | 0.8612 |
| No log | 18.2609 | 420 | 0.7581 | 0.5419 | 0.7581 | 0.8707 |
| No log | 18.3478 | 422 | 0.7857 | 0.5396 | 0.7857 | 0.8864 |
| No log | 18.4348 | 424 | 0.8266 | 0.5933 | 0.8266 | 0.9092 |
| No log | 18.5217 | 426 | 0.9258 | 0.5015 | 0.9258 | 0.9622 |
| No log | 18.6087 | 428 | 0.9781 | 0.4380 | 0.9781 | 0.9890 |
| No log | 18.6957 | 430 | 0.9138 | 0.4918 | 0.9138 | 0.9559 |
| No log | 18.7826 | 432 | 0.8367 | 0.5338 | 0.8367 | 0.9147 |
| No log | 18.8696 | 434 | 0.8315 | 0.5214 | 0.8315 | 0.9118 |
| No log | 18.9565 | 436 | 0.8447 | 0.4643 | 0.8447 | 0.9191 |
| No log | 19.0435 | 438 | 0.8726 | 0.5079 | 0.8726 | 0.9342 |
| No log | 19.1304 | 440 | 0.8809 | 0.5116 | 0.8809 | 0.9386 |
| No log | 19.2174 | 442 | 0.8496 | 0.5988 | 0.8496 | 0.9217 |
| No log | 19.3043 | 444 | 0.8127 | 0.6089 | 0.8127 | 0.9015 |
| No log | 19.3913 | 446 | 0.7865 | 0.6044 | 0.7865 | 0.8868 |
| No log | 19.4783 | 448 | 0.7724 | 0.6242 | 0.7724 | 0.8788 |
| No log | 19.5652 | 450 | 0.7540 | 0.6388 | 0.7540 | 0.8683 |
| No log | 19.6522 | 452 | 0.7693 | 0.6132 | 0.7693 | 0.8771 |
| No log | 19.7391 | 454 | 0.8057 | 0.5933 | 0.8057 | 0.8976 |
| No log | 19.8261 | 456 | 0.8533 | 0.5340 | 0.8533 | 0.9238 |
| No log | 19.9130 | 458 | 0.8415 | 0.5056 | 0.8415 | 0.9173 |
| No log | 20.0 | 460 | 0.7655 | 0.5912 | 0.7655 | 0.8749 |
| No log | 20.0870 | 462 | 0.7232 | 0.6144 | 0.7232 | 0.8504 |
| No log | 20.1739 | 464 | 0.7130 | 0.6341 | 0.7130 | 0.8444 |
| No log | 20.2609 | 466 | 0.7188 | 0.6664 | 0.7188 | 0.8478 |
| No log | 20.3478 | 468 | 0.7370 | 0.6781 | 0.7370 | 0.8585 |
| No log | 20.4348 | 470 | 0.7343 | 0.6781 | 0.7343 | 0.8569 |
| No log | 20.5217 | 472 | 0.7214 | 0.6570 | 0.7214 | 0.8494 |
| No log | 20.6087 | 474 | 0.7012 | 0.6328 | 0.7012 | 0.8374 |
| No log | 20.6957 | 476 | 0.6914 | 0.6594 | 0.6914 | 0.8315 |
| No log | 20.7826 | 478 | 0.6956 | 0.6756 | 0.6956 | 0.8340 |
| No log | 20.8696 | 480 | 0.7378 | 0.6481 | 0.7378 | 0.8589 |
| No log | 20.9565 | 482 | 0.7536 | 0.6315 | 0.7536 | 0.8681 |
| No log | 21.0435 | 484 | 0.7093 | 0.6369 | 0.7093 | 0.8422 |
| No log | 21.1304 | 486 | 0.6743 | 0.6605 | 0.6743 | 0.8212 |
| No log | 21.2174 | 488 | 0.6883 | 0.6437 | 0.6883 | 0.8296 |
| No log | 21.3043 | 490 | 0.7305 | 0.5998 | 0.7305 | 0.8547 |
| No log | 21.3913 | 492 | 0.7472 | 0.5697 | 0.7472 | 0.8644 |
| No log | 21.4783 | 494 | 0.7336 | 0.5916 | 0.7336 | 0.8565 |
| No log | 21.5652 | 496 | 0.7202 | 0.5648 | 0.7202 | 0.8486 |
| No log | 21.6522 | 498 | 0.7349 | 0.5983 | 0.7349 | 0.8573 |
| 0.2863 | 21.7391 | 500 | 0.7469 | 0.6041 | 0.7469 | 0.8642 |
| 0.2863 | 21.8261 | 502 | 0.7504 | 0.5898 | 0.7504 | 0.8662 |
| 0.2863 | 21.9130 | 504 | 0.7683 | 0.5957 | 0.7683 | 0.8765 |
| 0.2863 | 22.0 | 506 | 0.7958 | 0.5819 | 0.7958 | 0.8921 |
| 0.2863 | 22.0870 | 508 | 0.7928 | 0.6029 | 0.7928 | 0.8904 |
| 0.2863 | 22.1739 | 510 | 0.7732 | 0.5750 | 0.7732 | 0.8793 |
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_run1_AugV5_k4_task2_organization
Base model
aubmindlab/bert-base-arabertv02