ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_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: 0.6245
- Qwk: 0.4652
- Mse: 0.6245
- Rmse: 0.7902
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 | 0.0198 | 2 | 2.5599 | -0.0924 | 2.5599 | 1.6000 |
| No log | 0.0396 | 4 | 1.2536 | 0.0986 | 1.2536 | 1.1196 |
| No log | 0.0594 | 6 | 0.9178 | 0.0421 | 0.9178 | 0.9580 |
| No log | 0.0792 | 8 | 0.8143 | 0.1775 | 0.8143 | 0.9024 |
| No log | 0.0990 | 10 | 0.7493 | 0.3158 | 0.7493 | 0.8656 |
| No log | 0.1188 | 12 | 0.6974 | 0.4253 | 0.6974 | 0.8351 |
| No log | 0.1386 | 14 | 0.6983 | 0.3664 | 0.6983 | 0.8356 |
| No log | 0.1584 | 16 | 0.8826 | 0.1882 | 0.8826 | 0.9394 |
| No log | 0.1782 | 18 | 0.7464 | 0.2772 | 0.7464 | 0.8639 |
| No log | 0.1980 | 20 | 0.6547 | 0.2847 | 0.6547 | 0.8092 |
| No log | 0.2178 | 22 | 0.6475 | 0.2878 | 0.6475 | 0.8047 |
| No log | 0.2376 | 24 | 0.6780 | 0.2776 | 0.6780 | 0.8234 |
| No log | 0.2574 | 26 | 1.1213 | 0.1775 | 1.1213 | 1.0589 |
| No log | 0.2772 | 28 | 1.4274 | 0.0578 | 1.4274 | 1.1948 |
| No log | 0.2970 | 30 | 1.3032 | 0.1453 | 1.3032 | 1.1416 |
| No log | 0.3168 | 32 | 0.9787 | 0.2702 | 0.9787 | 0.9893 |
| No log | 0.3366 | 34 | 0.6738 | 0.3348 | 0.6738 | 0.8208 |
| No log | 0.3564 | 36 | 0.6622 | 0.1846 | 0.6622 | 0.8138 |
| No log | 0.3762 | 38 | 0.6597 | 0.1962 | 0.6597 | 0.8122 |
| No log | 0.3960 | 40 | 0.6846 | 0.0937 | 0.6846 | 0.8274 |
| No log | 0.4158 | 42 | 0.6999 | 0.0481 | 0.6999 | 0.8366 |
| No log | 0.4356 | 44 | 0.6615 | 0.0798 | 0.6615 | 0.8133 |
| No log | 0.4554 | 46 | 0.6635 | 0.0757 | 0.6635 | 0.8146 |
| No log | 0.4752 | 48 | 0.6688 | 0.1138 | 0.6688 | 0.8178 |
| No log | 0.4950 | 50 | 0.6651 | 0.1489 | 0.6651 | 0.8156 |
| No log | 0.5149 | 52 | 0.6819 | 0.2454 | 0.6819 | 0.8257 |
| No log | 0.5347 | 54 | 0.7275 | 0.2673 | 0.7275 | 0.8530 |
| No log | 0.5545 | 56 | 0.8758 | 0.2817 | 0.8758 | 0.9359 |
| No log | 0.5743 | 58 | 0.8863 | 0.3027 | 0.8863 | 0.9414 |
| No log | 0.5941 | 60 | 0.6852 | 0.3360 | 0.6852 | 0.8278 |
| No log | 0.6139 | 62 | 0.7091 | 0.4175 | 0.7091 | 0.8421 |
| No log | 0.6337 | 64 | 1.1026 | 0.2589 | 1.1026 | 1.0500 |
| No log | 0.6535 | 66 | 1.1815 | 0.2199 | 1.1815 | 1.0869 |
| No log | 0.6733 | 68 | 0.9741 | 0.2732 | 0.9741 | 0.9870 |
| No log | 0.6931 | 70 | 0.7118 | 0.1790 | 0.7118 | 0.8437 |
| No log | 0.7129 | 72 | 0.7972 | 0.2804 | 0.7972 | 0.8929 |
| No log | 0.7327 | 74 | 0.8775 | 0.3354 | 0.8775 | 0.9368 |
| No log | 0.7525 | 76 | 0.8050 | 0.2841 | 0.8050 | 0.8972 |
| No log | 0.7723 | 78 | 0.8958 | 0.3085 | 0.8958 | 0.9465 |
| No log | 0.7921 | 80 | 1.0926 | 0.2559 | 1.0926 | 1.0453 |
| No log | 0.8119 | 82 | 1.2862 | 0.1448 | 1.2862 | 1.1341 |
| No log | 0.8317 | 84 | 1.1744 | 0.1935 | 1.1744 | 1.0837 |
| No log | 0.8515 | 86 | 0.9129 | 0.2437 | 0.9129 | 0.9554 |
| No log | 0.8713 | 88 | 0.8224 | 0.2942 | 0.8224 | 0.9068 |
| No log | 0.8911 | 90 | 0.7935 | 0.3022 | 0.7935 | 0.8908 |
| No log | 0.9109 | 92 | 0.8176 | 0.2703 | 0.8176 | 0.9042 |
| No log | 0.9307 | 94 | 0.8105 | 0.2555 | 0.8105 | 0.9003 |
| No log | 0.9505 | 96 | 0.7608 | 0.2867 | 0.7608 | 0.8722 |
| No log | 0.9703 | 98 | 0.7437 | 0.3964 | 0.7437 | 0.8624 |
| No log | 0.9901 | 100 | 0.7593 | 0.3607 | 0.7593 | 0.8714 |
| No log | 1.0099 | 102 | 0.8683 | 0.2920 | 0.8683 | 0.9318 |
| No log | 1.0297 | 104 | 0.9349 | 0.1935 | 0.9349 | 0.9669 |
| No log | 1.0495 | 106 | 0.8419 | 0.4169 | 0.8419 | 0.9176 |
| No log | 1.0693 | 108 | 0.8010 | 0.3350 | 0.8010 | 0.8950 |
| No log | 1.0891 | 110 | 0.8084 | 0.2888 | 0.8084 | 0.8991 |
| No log | 1.1089 | 112 | 0.8820 | 0.2832 | 0.8820 | 0.9392 |
| No log | 1.1287 | 114 | 0.8200 | 0.2975 | 0.8200 | 0.9055 |
| No log | 1.1485 | 116 | 0.7221 | 0.4036 | 0.7221 | 0.8498 |
| No log | 1.1683 | 118 | 0.7081 | 0.4158 | 0.7081 | 0.8415 |
| No log | 1.1881 | 120 | 0.7050 | 0.4146 | 0.7050 | 0.8396 |
| No log | 1.2079 | 122 | 0.6717 | 0.5118 | 0.6717 | 0.8196 |
| No log | 1.2277 | 124 | 0.7140 | 0.4253 | 0.7140 | 0.8450 |
| No log | 1.2475 | 126 | 0.7297 | 0.4224 | 0.7297 | 0.8542 |
| No log | 1.2673 | 128 | 0.6590 | 0.4406 | 0.6590 | 0.8118 |
| No log | 1.2871 | 130 | 0.6341 | 0.4808 | 0.6341 | 0.7963 |
| No log | 1.3069 | 132 | 0.7003 | 0.3770 | 0.7003 | 0.8368 |
| No log | 1.3267 | 134 | 0.6486 | 0.3843 | 0.6486 | 0.8054 |
| No log | 1.3465 | 136 | 0.6408 | 0.4096 | 0.6408 | 0.8005 |
| No log | 1.3663 | 138 | 0.6590 | 0.4118 | 0.6590 | 0.8118 |
| No log | 1.3861 | 140 | 0.6511 | 0.4066 | 0.6511 | 0.8069 |
| No log | 1.4059 | 142 | 0.6281 | 0.5444 | 0.6281 | 0.7925 |
| No log | 1.4257 | 144 | 0.6935 | 0.4574 | 0.6935 | 0.8328 |
| No log | 1.4455 | 146 | 0.6294 | 0.5225 | 0.6294 | 0.7933 |
| No log | 1.4653 | 148 | 0.8079 | 0.4096 | 0.8079 | 0.8988 |
| No log | 1.4851 | 150 | 0.9983 | 0.2949 | 0.9983 | 0.9992 |
| No log | 1.5050 | 152 | 0.8827 | 0.3389 | 0.8827 | 0.9395 |
| No log | 1.5248 | 154 | 0.6433 | 0.4518 | 0.6433 | 0.8021 |
| No log | 1.5446 | 156 | 0.6052 | 0.5357 | 0.6052 | 0.7779 |
| No log | 1.5644 | 158 | 0.6072 | 0.6271 | 0.6072 | 0.7792 |
| No log | 1.5842 | 160 | 0.7019 | 0.3718 | 0.7019 | 0.8378 |
| No log | 1.6040 | 162 | 0.9194 | 0.3620 | 0.9194 | 0.9588 |
| No log | 1.6238 | 164 | 1.0232 | 0.2199 | 1.0232 | 1.0116 |
| No log | 1.6436 | 166 | 0.8720 | 0.3368 | 0.8720 | 0.9338 |
| No log | 1.6634 | 168 | 0.6216 | 0.5014 | 0.6216 | 0.7884 |
| No log | 1.6832 | 170 | 0.5843 | 0.5672 | 0.5843 | 0.7644 |
| No log | 1.7030 | 172 | 0.6244 | 0.5058 | 0.6244 | 0.7902 |
| No log | 1.7228 | 174 | 0.6361 | 0.4911 | 0.6361 | 0.7976 |
| No log | 1.7426 | 176 | 0.6220 | 0.4622 | 0.6220 | 0.7887 |
| No log | 1.7624 | 178 | 0.6262 | 0.4692 | 0.6262 | 0.7913 |
| No log | 1.7822 | 180 | 0.6182 | 0.4692 | 0.6182 | 0.7862 |
| No log | 1.8020 | 182 | 0.6940 | 0.4670 | 0.6940 | 0.8331 |
| No log | 1.8218 | 184 | 0.7109 | 0.4670 | 0.7109 | 0.8431 |
| No log | 1.8416 | 186 | 0.6191 | 0.4562 | 0.6191 | 0.7868 |
| No log | 1.8614 | 188 | 0.5927 | 0.4534 | 0.5927 | 0.7699 |
| No log | 1.8812 | 190 | 0.6411 | 0.4218 | 0.6411 | 0.8007 |
| No log | 1.9010 | 192 | 0.6305 | 0.4165 | 0.6305 | 0.7941 |
| No log | 1.9208 | 194 | 0.6012 | 0.5324 | 0.6012 | 0.7754 |
| No log | 1.9406 | 196 | 0.5829 | 0.5003 | 0.5829 | 0.7635 |
| No log | 1.9604 | 198 | 0.5954 | 0.5308 | 0.5954 | 0.7716 |
| No log | 1.9802 | 200 | 0.5914 | 0.5308 | 0.5914 | 0.7690 |
| No log | 2.0 | 202 | 0.5732 | 0.5450 | 0.5732 | 0.7571 |
| No log | 2.0198 | 204 | 0.5788 | 0.5655 | 0.5788 | 0.7608 |
| No log | 2.0396 | 206 | 0.5841 | 0.6046 | 0.5841 | 0.7642 |
| No log | 2.0594 | 208 | 0.5915 | 0.5628 | 0.5915 | 0.7691 |
| No log | 2.0792 | 210 | 0.5947 | 0.5434 | 0.5947 | 0.7711 |
| No log | 2.0990 | 212 | 0.5825 | 0.5798 | 0.5825 | 0.7632 |
| No log | 2.1188 | 214 | 0.5751 | 0.4948 | 0.5751 | 0.7583 |
| No log | 2.1386 | 216 | 0.5765 | 0.5533 | 0.5765 | 0.7593 |
| No log | 2.1584 | 218 | 0.6495 | 0.4409 | 0.6495 | 0.8059 |
| No log | 2.1782 | 220 | 0.6111 | 0.4753 | 0.6111 | 0.7817 |
| No log | 2.1980 | 222 | 0.5854 | 0.5160 | 0.5854 | 0.7651 |
| No log | 2.2178 | 224 | 0.6769 | 0.3551 | 0.6769 | 0.8227 |
| No log | 2.2376 | 226 | 0.6394 | 0.3783 | 0.6394 | 0.7996 |
| No log | 2.2574 | 228 | 0.6264 | 0.4935 | 0.6264 | 0.7915 |
| No log | 2.2772 | 230 | 0.5607 | 0.4734 | 0.5607 | 0.7488 |
| No log | 2.2970 | 232 | 0.5362 | 0.5286 | 0.5362 | 0.7323 |
| No log | 2.3168 | 234 | 0.5537 | 0.5250 | 0.5537 | 0.7441 |
| No log | 2.3366 | 236 | 0.6731 | 0.4142 | 0.6731 | 0.8205 |
| No log | 2.3564 | 238 | 0.7709 | 0.3579 | 0.7709 | 0.8780 |
| No log | 2.3762 | 240 | 0.9463 | 0.3747 | 0.9463 | 0.9728 |
| No log | 2.3960 | 242 | 0.8771 | 0.3942 | 0.8771 | 0.9366 |
| No log | 2.4158 | 244 | 0.7525 | 0.4250 | 0.7525 | 0.8675 |
| No log | 2.4356 | 246 | 0.6154 | 0.4518 | 0.6154 | 0.7845 |
| No log | 2.4554 | 248 | 0.5678 | 0.5252 | 0.5678 | 0.7535 |
| No log | 2.4752 | 250 | 0.5527 | 0.5609 | 0.5527 | 0.7434 |
| No log | 2.4950 | 252 | 0.5515 | 0.5517 | 0.5515 | 0.7426 |
| No log | 2.5149 | 254 | 0.5792 | 0.5016 | 0.5792 | 0.7611 |
| No log | 2.5347 | 256 | 0.6850 | 0.4175 | 0.6850 | 0.8277 |
| No log | 2.5545 | 258 | 0.8241 | 0.3970 | 0.8241 | 0.9078 |
| No log | 2.5743 | 260 | 0.7292 | 0.4382 | 0.7292 | 0.8539 |
| No log | 2.5941 | 262 | 0.5560 | 0.5671 | 0.5560 | 0.7456 |
| No log | 2.6139 | 264 | 0.5546 | 0.4674 | 0.5546 | 0.7447 |
| No log | 2.6337 | 266 | 0.5796 | 0.4789 | 0.5796 | 0.7613 |
| No log | 2.6535 | 268 | 0.5801 | 0.4694 | 0.5801 | 0.7617 |
| No log | 2.6733 | 270 | 0.5538 | 0.5009 | 0.5538 | 0.7442 |
| No log | 2.6931 | 272 | 0.5485 | 0.5304 | 0.5485 | 0.7406 |
| No log | 2.7129 | 274 | 0.5375 | 0.5231 | 0.5375 | 0.7331 |
| No log | 2.7327 | 276 | 0.5426 | 0.5248 | 0.5426 | 0.7366 |
| No log | 2.7525 | 278 | 0.5888 | 0.4690 | 0.5888 | 0.7674 |
| No log | 2.7723 | 280 | 0.5986 | 0.4690 | 0.5986 | 0.7737 |
| No log | 2.7921 | 282 | 0.5653 | 0.5751 | 0.5653 | 0.7518 |
| No log | 2.8119 | 284 | 0.5568 | 0.5405 | 0.5568 | 0.7462 |
| No log | 2.8317 | 286 | 0.5706 | 0.5479 | 0.5706 | 0.7554 |
| No log | 2.8515 | 288 | 0.5680 | 0.5697 | 0.5680 | 0.7537 |
| No log | 2.8713 | 290 | 0.5572 | 0.5517 | 0.5572 | 0.7465 |
| No log | 2.8911 | 292 | 0.5816 | 0.5452 | 0.5816 | 0.7627 |
| No log | 2.9109 | 294 | 0.5429 | 0.5271 | 0.5429 | 0.7368 |
| No log | 2.9307 | 296 | 0.5134 | 0.5440 | 0.5134 | 0.7165 |
| No log | 2.9505 | 298 | 0.6187 | 0.5065 | 0.6187 | 0.7866 |
| No log | 2.9703 | 300 | 0.6982 | 0.3933 | 0.6982 | 0.8356 |
| No log | 2.9901 | 302 | 0.6415 | 0.4669 | 0.6415 | 0.8010 |
| No log | 3.0099 | 304 | 0.5315 | 0.4444 | 0.5315 | 0.7290 |
| No log | 3.0297 | 306 | 0.5237 | 0.5521 | 0.5237 | 0.7237 |
| No log | 3.0495 | 308 | 0.5336 | 0.5267 | 0.5336 | 0.7305 |
| No log | 3.0693 | 310 | 0.5541 | 0.4634 | 0.5541 | 0.7444 |
| No log | 3.0891 | 312 | 0.6404 | 0.4825 | 0.6404 | 0.8002 |
| No log | 3.1089 | 314 | 0.6550 | 0.4410 | 0.6550 | 0.8093 |
| No log | 3.1287 | 316 | 0.5981 | 0.3982 | 0.5981 | 0.7734 |
| No log | 3.1485 | 318 | 0.5698 | 0.4136 | 0.5698 | 0.7548 |
| No log | 3.1683 | 320 | 0.5785 | 0.4136 | 0.5785 | 0.7606 |
| No log | 3.1881 | 322 | 0.5892 | 0.4705 | 0.5892 | 0.7676 |
| No log | 3.2079 | 324 | 0.5863 | 0.5214 | 0.5863 | 0.7657 |
| No log | 3.2277 | 326 | 0.5797 | 0.5151 | 0.5797 | 0.7614 |
| No log | 3.2475 | 328 | 0.5932 | 0.4299 | 0.5932 | 0.7702 |
| No log | 3.2673 | 330 | 0.6439 | 0.4556 | 0.6439 | 0.8024 |
| No log | 3.2871 | 332 | 0.6486 | 0.4761 | 0.6486 | 0.8053 |
| No log | 3.3069 | 334 | 0.5696 | 0.5234 | 0.5696 | 0.7547 |
| No log | 3.3267 | 336 | 0.5331 | 0.6542 | 0.5331 | 0.7302 |
| No log | 3.3465 | 338 | 0.5294 | 0.6201 | 0.5294 | 0.7276 |
| No log | 3.3663 | 340 | 0.5247 | 0.6303 | 0.5247 | 0.7243 |
| No log | 3.3861 | 342 | 0.5445 | 0.5812 | 0.5445 | 0.7379 |
| No log | 3.4059 | 344 | 0.6109 | 0.4892 | 0.6109 | 0.7816 |
| No log | 3.4257 | 346 | 0.7319 | 0.4615 | 0.7319 | 0.8555 |
| No log | 3.4455 | 348 | 0.7520 | 0.4615 | 0.7520 | 0.8672 |
| No log | 3.4653 | 350 | 0.6767 | 0.4448 | 0.6767 | 0.8226 |
| No log | 3.4851 | 352 | 0.6006 | 0.4271 | 0.6006 | 0.7750 |
| No log | 3.5050 | 354 | 0.5591 | 0.2955 | 0.5591 | 0.7477 |
| No log | 3.5248 | 356 | 0.5617 | 0.3809 | 0.5617 | 0.7494 |
| No log | 3.5446 | 358 | 0.5534 | 0.3809 | 0.5534 | 0.7439 |
| No log | 3.5644 | 360 | 0.5564 | 0.4186 | 0.5564 | 0.7459 |
| No log | 3.5842 | 362 | 0.5546 | 0.4186 | 0.5546 | 0.7447 |
| No log | 3.6040 | 364 | 0.5335 | 0.4448 | 0.5335 | 0.7304 |
| No log | 3.6238 | 366 | 0.5112 | 0.4614 | 0.5112 | 0.7150 |
| No log | 3.6436 | 368 | 0.5467 | 0.4052 | 0.5467 | 0.7394 |
| No log | 3.6634 | 370 | 0.5606 | 0.4307 | 0.5606 | 0.7488 |
| No log | 3.6832 | 372 | 0.5104 | 0.5111 | 0.5104 | 0.7144 |
| No log | 3.7030 | 374 | 0.4850 | 0.5493 | 0.4850 | 0.6964 |
| No log | 3.7228 | 376 | 0.5292 | 0.5065 | 0.5292 | 0.7275 |
| No log | 3.7426 | 378 | 0.5255 | 0.5061 | 0.5255 | 0.7249 |
| No log | 3.7624 | 380 | 0.4865 | 0.5523 | 0.4865 | 0.6975 |
| No log | 3.7822 | 382 | 0.4661 | 0.6542 | 0.4661 | 0.6827 |
| No log | 3.8020 | 384 | 0.5367 | 0.5345 | 0.5367 | 0.7326 |
| No log | 3.8218 | 386 | 0.5557 | 0.5345 | 0.5557 | 0.7454 |
| No log | 3.8416 | 388 | 0.5012 | 0.5995 | 0.5012 | 0.7079 |
| No log | 3.8614 | 390 | 0.5295 | 0.5234 | 0.5295 | 0.7277 |
| No log | 3.8812 | 392 | 0.6392 | 0.4594 | 0.6392 | 0.7995 |
| No log | 3.9010 | 394 | 0.7132 | 0.3913 | 0.7132 | 0.8445 |
| No log | 3.9208 | 396 | 0.6608 | 0.4100 | 0.6608 | 0.8129 |
| No log | 3.9406 | 398 | 0.5836 | 0.3958 | 0.5836 | 0.7639 |
| No log | 3.9604 | 400 | 0.5755 | 0.4707 | 0.5755 | 0.7586 |
| No log | 3.9802 | 402 | 0.6042 | 0.4905 | 0.6042 | 0.7773 |
| No log | 4.0 | 404 | 0.5781 | 0.4663 | 0.5781 | 0.7603 |
| No log | 4.0198 | 406 | 0.5408 | 0.4276 | 0.5408 | 0.7354 |
| No log | 4.0396 | 408 | 0.6220 | 0.4909 | 0.6220 | 0.7886 |
| No log | 4.0594 | 410 | 0.7011 | 0.4142 | 0.7011 | 0.8373 |
| No log | 4.0792 | 412 | 0.7011 | 0.3978 | 0.7011 | 0.8373 |
| No log | 4.0990 | 414 | 0.6119 | 0.3999 | 0.6119 | 0.7822 |
| No log | 4.1188 | 416 | 0.5483 | 0.4044 | 0.5483 | 0.7405 |
| No log | 4.1386 | 418 | 0.5516 | 0.4707 | 0.5516 | 0.7427 |
| No log | 4.1584 | 420 | 0.5482 | 0.3474 | 0.5482 | 0.7404 |
| No log | 4.1782 | 422 | 0.5657 | 0.3541 | 0.5657 | 0.7521 |
| No log | 4.1980 | 424 | 0.6820 | 0.4142 | 0.6820 | 0.8258 |
| No log | 4.2178 | 426 | 0.8095 | 0.4222 | 0.8095 | 0.8997 |
| No log | 4.2376 | 428 | 0.7464 | 0.4396 | 0.7464 | 0.8640 |
| No log | 4.2574 | 430 | 0.6006 | 0.4391 | 0.6006 | 0.7750 |
| No log | 4.2772 | 432 | 0.5473 | 0.4945 | 0.5473 | 0.7398 |
| No log | 4.2970 | 434 | 0.5441 | 0.4595 | 0.5441 | 0.7376 |
| No log | 4.3168 | 436 | 0.5542 | 0.3754 | 0.5542 | 0.7445 |
| No log | 4.3366 | 438 | 0.5698 | 0.3445 | 0.5698 | 0.7548 |
| No log | 4.3564 | 440 | 0.5861 | 0.3258 | 0.5861 | 0.7655 |
| No log | 4.3762 | 442 | 0.6075 | 0.3718 | 0.6075 | 0.7794 |
| No log | 4.3960 | 444 | 0.6078 | 0.3718 | 0.6078 | 0.7796 |
| No log | 4.4158 | 446 | 0.5993 | 0.3446 | 0.5993 | 0.7742 |
| No log | 4.4356 | 448 | 0.5999 | 0.3446 | 0.5999 | 0.7746 |
| No log | 4.4554 | 450 | 0.6157 | 0.3093 | 0.6157 | 0.7847 |
| No log | 4.4752 | 452 | 0.6072 | 0.3137 | 0.6072 | 0.7792 |
| No log | 4.4950 | 454 | 0.5854 | 0.3151 | 0.5854 | 0.7651 |
| No log | 4.5149 | 456 | 0.5687 | 0.3803 | 0.5687 | 0.7541 |
| No log | 4.5347 | 458 | 0.5597 | 0.3289 | 0.5597 | 0.7481 |
| No log | 4.5545 | 460 | 0.5593 | 0.3729 | 0.5593 | 0.7479 |
| No log | 4.5743 | 462 | 0.5902 | 0.3808 | 0.5902 | 0.7682 |
| No log | 4.5941 | 464 | 0.6317 | 0.3875 | 0.6317 | 0.7948 |
| No log | 4.6139 | 466 | 0.6378 | 0.3875 | 0.6378 | 0.7986 |
| No log | 4.6337 | 468 | 0.5885 | 0.4221 | 0.5885 | 0.7671 |
| No log | 4.6535 | 470 | 0.5787 | 0.5460 | 0.5787 | 0.7607 |
| No log | 4.6733 | 472 | 0.5744 | 0.5846 | 0.5744 | 0.7579 |
| No log | 4.6931 | 474 | 0.5680 | 0.3950 | 0.5680 | 0.7536 |
| No log | 4.7129 | 476 | 0.5838 | 0.4315 | 0.5838 | 0.7640 |
| No log | 4.7327 | 478 | 0.5959 | 0.4087 | 0.5959 | 0.7719 |
| No log | 4.7525 | 480 | 0.5953 | 0.3610 | 0.5953 | 0.7716 |
| No log | 4.7723 | 482 | 0.6096 | 0.4215 | 0.6096 | 0.7808 |
| No log | 4.7921 | 484 | 0.5727 | 0.4249 | 0.5727 | 0.7568 |
| No log | 4.8119 | 486 | 0.5409 | 0.3703 | 0.5409 | 0.7354 |
| No log | 4.8317 | 488 | 0.5258 | 0.4747 | 0.5258 | 0.7251 |
| No log | 4.8515 | 490 | 0.5154 | 0.4984 | 0.5154 | 0.7179 |
| No log | 4.8713 | 492 | 0.5042 | 0.5195 | 0.5042 | 0.7101 |
| No log | 4.8911 | 494 | 0.5312 | 0.5212 | 0.5312 | 0.7288 |
| No log | 4.9109 | 496 | 0.5675 | 0.4690 | 0.5675 | 0.7533 |
| No log | 4.9307 | 498 | 0.6600 | 0.5205 | 0.6600 | 0.8124 |
| 0.3374 | 4.9505 | 500 | 0.6723 | 0.5205 | 0.6723 | 0.8199 |
| 0.3374 | 4.9703 | 502 | 0.6908 | 0.4961 | 0.6908 | 0.8312 |
| 0.3374 | 4.9901 | 504 | 0.5985 | 0.5003 | 0.5985 | 0.7736 |
| 0.3374 | 5.0099 | 506 | 0.5480 | 0.4892 | 0.5480 | 0.7403 |
| 0.3374 | 5.0297 | 508 | 0.5931 | 0.4634 | 0.5931 | 0.7701 |
| 0.3374 | 5.0495 | 510 | 0.6245 | 0.4652 | 0.6245 | 0.7902 |
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_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task7_organization
Base model
aubmindlab/bert-base-arabertv02