ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k5_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: 0.6188
- Qwk: 0.5620
- Mse: 0.6188
- Rmse: 0.7866
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 | 0.08 | 2 | 2.7179 | -0.0729 | 2.7179 | 1.6486 |
| No log | 0.16 | 4 | 1.4797 | 0.1005 | 1.4797 | 1.2164 |
| No log | 0.24 | 6 | 0.7875 | 0.2703 | 0.7875 | 0.8874 |
| No log | 0.32 | 8 | 0.7507 | 0.2810 | 0.7507 | 0.8664 |
| No log | 0.4 | 10 | 1.0987 | 0.2589 | 1.0987 | 1.0482 |
| No log | 0.48 | 12 | 1.1800 | 0.2589 | 1.1800 | 1.0863 |
| No log | 0.56 | 14 | 0.8969 | 0.2411 | 0.8969 | 0.9471 |
| No log | 0.64 | 16 | 0.5773 | 0.4034 | 0.5773 | 0.7598 |
| No log | 0.72 | 18 | 0.7289 | 0.3597 | 0.7289 | 0.8538 |
| No log | 0.8 | 20 | 0.8464 | 0.3909 | 0.8464 | 0.9200 |
| No log | 0.88 | 22 | 0.6030 | 0.4671 | 0.6030 | 0.7765 |
| No log | 0.96 | 24 | 0.5298 | 0.5404 | 0.5298 | 0.7279 |
| No log | 1.04 | 26 | 0.6746 | 0.3630 | 0.6746 | 0.8214 |
| No log | 1.12 | 28 | 0.8613 | 0.3601 | 0.8613 | 0.9281 |
| No log | 1.2 | 30 | 0.6811 | 0.4369 | 0.6811 | 0.8253 |
| No log | 1.28 | 32 | 0.5724 | 0.5498 | 0.5724 | 0.7566 |
| No log | 1.3600 | 34 | 0.6814 | 0.5700 | 0.6814 | 0.8255 |
| No log | 1.44 | 36 | 0.7273 | 0.5461 | 0.7273 | 0.8528 |
| No log | 1.52 | 38 | 0.6491 | 0.6008 | 0.6491 | 0.8057 |
| No log | 1.6 | 40 | 0.7007 | 0.5272 | 0.7007 | 0.8371 |
| No log | 1.6800 | 42 | 0.7567 | 0.4817 | 0.7567 | 0.8699 |
| No log | 1.76 | 44 | 0.7494 | 0.5207 | 0.7494 | 0.8657 |
| No log | 1.8400 | 46 | 0.5755 | 0.5505 | 0.5755 | 0.7586 |
| No log | 1.92 | 48 | 0.7779 | 0.4165 | 0.7779 | 0.8820 |
| No log | 2.0 | 50 | 1.0493 | 0.0898 | 1.0493 | 1.0244 |
| No log | 2.08 | 52 | 0.9548 | 0.1672 | 0.9548 | 0.9771 |
| No log | 2.16 | 54 | 0.6955 | 0.3991 | 0.6955 | 0.8340 |
| No log | 2.24 | 56 | 0.5341 | 0.4007 | 0.5341 | 0.7308 |
| No log | 2.32 | 58 | 0.5390 | 0.4953 | 0.5390 | 0.7342 |
| No log | 2.4 | 60 | 0.5372 | 0.5067 | 0.5372 | 0.7329 |
| No log | 2.48 | 62 | 0.5704 | 0.4951 | 0.5704 | 0.7553 |
| No log | 2.56 | 64 | 0.8843 | 0.3776 | 0.8843 | 0.9404 |
| No log | 2.64 | 66 | 1.2716 | 0.1928 | 1.2716 | 1.1277 |
| No log | 2.7200 | 68 | 1.3871 | -0.0272 | 1.3871 | 1.1778 |
| No log | 2.8 | 70 | 1.1922 | -0.0703 | 1.1922 | 1.0919 |
| No log | 2.88 | 72 | 0.8123 | 0.3069 | 0.8123 | 0.9013 |
| No log | 2.96 | 74 | 0.4944 | 0.5123 | 0.4944 | 0.7032 |
| No log | 3.04 | 76 | 0.5895 | 0.5298 | 0.5895 | 0.7678 |
| No log | 3.12 | 78 | 0.6980 | 0.4332 | 0.6980 | 0.8355 |
| No log | 3.2 | 80 | 0.6072 | 0.5283 | 0.6072 | 0.7792 |
| No log | 3.2800 | 82 | 0.5202 | 0.5388 | 0.5202 | 0.7212 |
| No log | 3.36 | 84 | 0.6425 | 0.4805 | 0.6425 | 0.8015 |
| No log | 3.44 | 86 | 0.9322 | 0.3316 | 0.9322 | 0.9655 |
| No log | 3.52 | 88 | 1.1122 | 0.2799 | 1.1122 | 1.0546 |
| No log | 3.6 | 90 | 1.1688 | 0.1688 | 1.1688 | 1.0811 |
| No log | 3.68 | 92 | 1.0176 | 0.2412 | 1.0176 | 1.0087 |
| No log | 3.76 | 94 | 0.7101 | 0.4777 | 0.7101 | 0.8427 |
| No log | 3.84 | 96 | 0.5495 | 0.4880 | 0.5495 | 0.7413 |
| No log | 3.92 | 98 | 0.4955 | 0.5840 | 0.4955 | 0.7039 |
| No log | 4.0 | 100 | 0.4943 | 0.6124 | 0.4943 | 0.7030 |
| No log | 4.08 | 102 | 0.5187 | 0.6127 | 0.5187 | 0.7202 |
| No log | 4.16 | 104 | 0.5462 | 0.6475 | 0.5462 | 0.7391 |
| No log | 4.24 | 106 | 0.6126 | 0.6354 | 0.6126 | 0.7827 |
| No log | 4.32 | 108 | 0.6593 | 0.5761 | 0.6593 | 0.8120 |
| No log | 4.4 | 110 | 0.6512 | 0.6035 | 0.6512 | 0.8070 |
| No log | 4.48 | 112 | 0.5371 | 0.5337 | 0.5371 | 0.7329 |
| No log | 4.5600 | 114 | 0.5224 | 0.5184 | 0.5224 | 0.7228 |
| No log | 4.64 | 116 | 0.5671 | 0.4948 | 0.5671 | 0.7531 |
| No log | 4.72 | 118 | 0.6108 | 0.5673 | 0.6108 | 0.7815 |
| No log | 4.8 | 120 | 0.6256 | 0.5232 | 0.6256 | 0.7910 |
| No log | 4.88 | 122 | 0.6670 | 0.5905 | 0.6670 | 0.8167 |
| No log | 4.96 | 124 | 0.7268 | 0.4511 | 0.7268 | 0.8525 |
| No log | 5.04 | 126 | 0.7344 | 0.4183 | 0.7344 | 0.8570 |
| No log | 5.12 | 128 | 0.6181 | 0.4875 | 0.6181 | 0.7862 |
| No log | 5.2 | 130 | 0.5491 | 0.4914 | 0.5491 | 0.7410 |
| No log | 5.28 | 132 | 0.6589 | 0.5293 | 0.6589 | 0.8117 |
| No log | 5.36 | 134 | 0.7125 | 0.5181 | 0.7125 | 0.8441 |
| No log | 5.44 | 136 | 0.6873 | 0.5763 | 0.6873 | 0.8290 |
| No log | 5.52 | 138 | 0.6804 | 0.5802 | 0.6804 | 0.8249 |
| No log | 5.6 | 140 | 0.6789 | 0.5155 | 0.6789 | 0.8240 |
| No log | 5.68 | 142 | 0.6412 | 0.5326 | 0.6412 | 0.8007 |
| No log | 5.76 | 144 | 0.6329 | 0.5326 | 0.6329 | 0.7956 |
| No log | 5.84 | 146 | 0.6316 | 0.6063 | 0.6316 | 0.7948 |
| No log | 5.92 | 148 | 0.6606 | 0.6073 | 0.6606 | 0.8128 |
| No log | 6.0 | 150 | 0.6901 | 0.6411 | 0.6901 | 0.8307 |
| No log | 6.08 | 152 | 0.6717 | 0.5385 | 0.6717 | 0.8196 |
| No log | 6.16 | 154 | 0.6578 | 0.5572 | 0.6578 | 0.8111 |
| No log | 6.24 | 156 | 0.6922 | 0.5215 | 0.6922 | 0.8320 |
| No log | 6.32 | 158 | 0.6512 | 0.5222 | 0.6512 | 0.8070 |
| No log | 6.4 | 160 | 0.6514 | 0.5147 | 0.6514 | 0.8071 |
| No log | 6.48 | 162 | 0.7965 | 0.4853 | 0.7965 | 0.8925 |
| No log | 6.5600 | 164 | 0.9330 | 0.4886 | 0.9330 | 0.9659 |
| No log | 6.64 | 166 | 0.9034 | 0.5060 | 0.9034 | 0.9505 |
| No log | 6.72 | 168 | 0.7366 | 0.5505 | 0.7366 | 0.8582 |
| No log | 6.8 | 170 | 0.6333 | 0.5671 | 0.6333 | 0.7958 |
| No log | 6.88 | 172 | 0.6199 | 0.5783 | 0.6199 | 0.7874 |
| No log | 6.96 | 174 | 0.5647 | 0.5853 | 0.5647 | 0.7514 |
| No log | 7.04 | 176 | 0.5483 | 0.5306 | 0.5483 | 0.7405 |
| No log | 7.12 | 178 | 0.5838 | 0.5373 | 0.5838 | 0.7641 |
| No log | 7.2 | 180 | 0.6524 | 0.4777 | 0.6524 | 0.8077 |
| No log | 7.28 | 182 | 0.6801 | 0.4328 | 0.6801 | 0.8247 |
| No log | 7.36 | 184 | 0.6294 | 0.4400 | 0.6294 | 0.7934 |
| No log | 7.44 | 186 | 0.5516 | 0.5045 | 0.5516 | 0.7427 |
| No log | 7.52 | 188 | 0.5450 | 0.4703 | 0.5450 | 0.7382 |
| No log | 7.6 | 190 | 0.5971 | 0.6051 | 0.5971 | 0.7727 |
| No log | 7.68 | 192 | 0.6671 | 0.5763 | 0.6671 | 0.8167 |
| No log | 7.76 | 194 | 0.7363 | 0.5372 | 0.7363 | 0.8581 |
| No log | 7.84 | 196 | 0.8414 | 0.5170 | 0.8414 | 0.9173 |
| No log | 7.92 | 198 | 0.8459 | 0.4775 | 0.8459 | 0.9198 |
| No log | 8.0 | 200 | 0.7465 | 0.5034 | 0.7465 | 0.8640 |
| No log | 8.08 | 202 | 0.6385 | 0.4541 | 0.6385 | 0.7991 |
| No log | 8.16 | 204 | 0.6008 | 0.3372 | 0.6008 | 0.7751 |
| No log | 8.24 | 206 | 0.6015 | 0.2652 | 0.6015 | 0.7755 |
| No log | 8.32 | 208 | 0.6024 | 0.3167 | 0.6024 | 0.7762 |
| No log | 8.4 | 210 | 0.6087 | 0.3894 | 0.6087 | 0.7802 |
| No log | 8.48 | 212 | 0.6112 | 0.5697 | 0.6112 | 0.7818 |
| No log | 8.56 | 214 | 0.6373 | 0.5824 | 0.6373 | 0.7983 |
| No log | 8.64 | 216 | 0.6501 | 0.5913 | 0.6501 | 0.8063 |
| No log | 8.72 | 218 | 0.6729 | 0.5843 | 0.6729 | 0.8203 |
| No log | 8.8 | 220 | 0.6859 | 0.5463 | 0.6859 | 0.8282 |
| No log | 8.88 | 222 | 0.5816 | 0.5285 | 0.5816 | 0.7626 |
| No log | 8.96 | 224 | 0.5372 | 0.5345 | 0.5372 | 0.7329 |
| No log | 9.04 | 226 | 0.5643 | 0.4749 | 0.5643 | 0.7512 |
| No log | 9.12 | 228 | 0.5924 | 0.4602 | 0.5924 | 0.7697 |
| No log | 9.2 | 230 | 0.6682 | 0.4705 | 0.6682 | 0.8175 |
| No log | 9.28 | 232 | 0.8666 | 0.4639 | 0.8666 | 0.9309 |
| No log | 9.36 | 234 | 0.9870 | 0.4178 | 0.9870 | 0.9935 |
| No log | 9.44 | 236 | 0.8951 | 0.4465 | 0.8951 | 0.9461 |
| No log | 9.52 | 238 | 0.7269 | 0.4910 | 0.7269 | 0.8526 |
| No log | 9.6 | 240 | 0.6265 | 0.5865 | 0.6265 | 0.7915 |
| No log | 9.68 | 242 | 0.5858 | 0.4704 | 0.5858 | 0.7654 |
| No log | 9.76 | 244 | 0.5924 | 0.4684 | 0.5924 | 0.7697 |
| No log | 9.84 | 246 | 0.6551 | 0.5072 | 0.6551 | 0.8094 |
| No log | 9.92 | 248 | 0.7675 | 0.5310 | 0.7675 | 0.8761 |
| No log | 10.0 | 250 | 0.8163 | 0.5164 | 0.8163 | 0.9035 |
| No log | 10.08 | 252 | 0.7807 | 0.6006 | 0.7807 | 0.8836 |
| No log | 10.16 | 254 | 0.7285 | 0.6225 | 0.7285 | 0.8535 |
| No log | 10.24 | 256 | 0.6499 | 0.5584 | 0.6499 | 0.8062 |
| No log | 10.32 | 258 | 0.6590 | 0.5009 | 0.6590 | 0.8118 |
| No log | 10.4 | 260 | 0.7488 | 0.3579 | 0.7488 | 0.8653 |
| No log | 10.48 | 262 | 0.7253 | 0.4308 | 0.7253 | 0.8516 |
| No log | 10.56 | 264 | 0.6588 | 0.5429 | 0.6588 | 0.8117 |
| No log | 10.64 | 266 | 0.6422 | 0.5663 | 0.6422 | 0.8014 |
| No log | 10.72 | 268 | 0.6184 | 0.5915 | 0.6184 | 0.7864 |
| No log | 10.8 | 270 | 0.6235 | 0.6088 | 0.6235 | 0.7896 |
| No log | 10.88 | 272 | 0.6412 | 0.5675 | 0.6412 | 0.8008 |
| No log | 10.96 | 274 | 0.6397 | 0.5675 | 0.6397 | 0.7998 |
| No log | 11.04 | 276 | 0.6764 | 0.5663 | 0.6764 | 0.8224 |
| No log | 11.12 | 278 | 0.6620 | 0.5663 | 0.6620 | 0.8136 |
| No log | 11.2 | 280 | 0.5982 | 0.4777 | 0.5982 | 0.7734 |
| No log | 11.28 | 282 | 0.5582 | 0.4576 | 0.5582 | 0.7471 |
| No log | 11.36 | 284 | 0.5600 | 0.4812 | 0.5600 | 0.7484 |
| No log | 11.44 | 286 | 0.5951 | 0.5423 | 0.5951 | 0.7714 |
| No log | 11.52 | 288 | 0.6402 | 0.5981 | 0.6402 | 0.8001 |
| No log | 11.6 | 290 | 0.6735 | 0.5629 | 0.6735 | 0.8207 |
| No log | 11.68 | 292 | 0.6678 | 0.5640 | 0.6678 | 0.8172 |
| No log | 11.76 | 294 | 0.6398 | 0.5775 | 0.6398 | 0.7999 |
| No log | 11.84 | 296 | 0.6961 | 0.6 | 0.6961 | 0.8343 |
| No log | 11.92 | 298 | 0.8290 | 0.5335 | 0.8290 | 0.9105 |
| No log | 12.0 | 300 | 0.8748 | 0.4106 | 0.8748 | 0.9353 |
| No log | 12.08 | 302 | 0.8237 | 0.3804 | 0.8237 | 0.9076 |
| No log | 12.16 | 304 | 0.6987 | 0.3938 | 0.6987 | 0.8359 |
| No log | 12.24 | 306 | 0.5932 | 0.4167 | 0.5932 | 0.7702 |
| No log | 12.32 | 308 | 0.5374 | 0.4855 | 0.5374 | 0.7331 |
| No log | 12.4 | 310 | 0.5384 | 0.5341 | 0.5384 | 0.7337 |
| No log | 12.48 | 312 | 0.6042 | 0.5724 | 0.6042 | 0.7773 |
| No log | 12.56 | 314 | 0.6417 | 0.5724 | 0.6417 | 0.8011 |
| No log | 12.64 | 316 | 0.6670 | 0.5787 | 0.6670 | 0.8167 |
| No log | 12.72 | 318 | 0.7175 | 0.5846 | 0.7175 | 0.8470 |
| No log | 12.8 | 320 | 0.7503 | 0.5755 | 0.7503 | 0.8662 |
| No log | 12.88 | 322 | 0.7294 | 0.6066 | 0.7294 | 0.8540 |
| No log | 12.96 | 324 | 0.6273 | 0.5738 | 0.6273 | 0.7920 |
| No log | 13.04 | 326 | 0.5784 | 0.4597 | 0.5784 | 0.7605 |
| No log | 13.12 | 328 | 0.5904 | 0.4052 | 0.5904 | 0.7684 |
| No log | 13.2 | 330 | 0.6363 | 0.4562 | 0.6363 | 0.7977 |
| No log | 13.28 | 332 | 0.6821 | 0.5294 | 0.6821 | 0.8259 |
| No log | 13.36 | 334 | 0.7243 | 0.5776 | 0.7243 | 0.8510 |
| No log | 13.44 | 336 | 0.6716 | 0.6246 | 0.6716 | 0.8195 |
| No log | 13.52 | 338 | 0.6012 | 0.5712 | 0.6012 | 0.7754 |
| No log | 13.6 | 340 | 0.5870 | 0.5559 | 0.5870 | 0.7662 |
| No log | 13.68 | 342 | 0.5702 | 0.5242 | 0.5702 | 0.7551 |
| No log | 13.76 | 344 | 0.5709 | 0.5242 | 0.5709 | 0.7556 |
| No log | 13.84 | 346 | 0.6008 | 0.5774 | 0.6008 | 0.7751 |
| No log | 13.92 | 348 | 0.6081 | 0.5692 | 0.6081 | 0.7798 |
| No log | 14.0 | 350 | 0.6095 | 0.5661 | 0.6095 | 0.7807 |
| No log | 14.08 | 352 | 0.5929 | 0.5661 | 0.5929 | 0.7700 |
| No log | 14.16 | 354 | 0.5463 | 0.4576 | 0.5463 | 0.7391 |
| No log | 14.24 | 356 | 0.5264 | 0.5071 | 0.5264 | 0.7255 |
| No log | 14.32 | 358 | 0.5358 | 0.4782 | 0.5358 | 0.7320 |
| No log | 14.4 | 360 | 0.5518 | 0.4782 | 0.5518 | 0.7428 |
| No log | 14.48 | 362 | 0.5646 | 0.5071 | 0.5646 | 0.7514 |
| No log | 14.56 | 364 | 0.5727 | 0.5133 | 0.5727 | 0.7568 |
| No log | 14.64 | 366 | 0.5653 | 0.5133 | 0.5653 | 0.7518 |
| No log | 14.72 | 368 | 0.5764 | 0.4901 | 0.5764 | 0.7592 |
| No log | 14.8 | 370 | 0.5839 | 0.5632 | 0.5839 | 0.7641 |
| No log | 14.88 | 372 | 0.5592 | 0.5559 | 0.5592 | 0.7478 |
| No log | 14.96 | 374 | 0.5283 | 0.5517 | 0.5283 | 0.7268 |
| No log | 15.04 | 376 | 0.5306 | 0.5517 | 0.5306 | 0.7284 |
| No log | 15.12 | 378 | 0.5602 | 0.5859 | 0.5602 | 0.7485 |
| No log | 15.2 | 380 | 0.6224 | 0.5845 | 0.6224 | 0.7889 |
| No log | 15.28 | 382 | 0.6671 | 0.6044 | 0.6671 | 0.8168 |
| No log | 15.36 | 384 | 0.6259 | 0.6056 | 0.6259 | 0.7911 |
| No log | 15.44 | 386 | 0.5716 | 0.6063 | 0.5716 | 0.7561 |
| No log | 15.52 | 388 | 0.5489 | 0.5597 | 0.5489 | 0.7409 |
| No log | 15.6 | 390 | 0.5204 | 0.5167 | 0.5204 | 0.7214 |
| No log | 15.68 | 392 | 0.5059 | 0.5057 | 0.5059 | 0.7112 |
| No log | 15.76 | 394 | 0.5135 | 0.5057 | 0.5135 | 0.7166 |
| No log | 15.84 | 396 | 0.5143 | 0.5039 | 0.5143 | 0.7172 |
| No log | 15.92 | 398 | 0.5490 | 0.5201 | 0.5490 | 0.7409 |
| No log | 16.0 | 400 | 0.5865 | 0.5726 | 0.5865 | 0.7658 |
| No log | 16.08 | 402 | 0.5992 | 0.6201 | 0.5992 | 0.7741 |
| No log | 16.16 | 404 | 0.5907 | 0.6214 | 0.5907 | 0.7686 |
| No log | 16.24 | 406 | 0.5881 | 0.5426 | 0.5881 | 0.7669 |
| No log | 16.32 | 408 | 0.5593 | 0.5373 | 0.5593 | 0.7479 |
| No log | 16.4 | 410 | 0.5295 | 0.5289 | 0.5295 | 0.7277 |
| No log | 16.48 | 412 | 0.5155 | 0.5289 | 0.5155 | 0.7180 |
| No log | 16.56 | 414 | 0.5123 | 0.5071 | 0.5123 | 0.7158 |
| No log | 16.64 | 416 | 0.5244 | 0.5272 | 0.5244 | 0.7242 |
| No log | 16.72 | 418 | 0.5575 | 0.5368 | 0.5575 | 0.7466 |
| No log | 16.8 | 420 | 0.5794 | 0.5696 | 0.5794 | 0.7612 |
| No log | 16.88 | 422 | 0.5833 | 0.5884 | 0.5833 | 0.7638 |
| No log | 16.96 | 424 | 0.5722 | 0.5433 | 0.5722 | 0.7564 |
| No log | 17.04 | 426 | 0.5558 | 0.4795 | 0.5558 | 0.7455 |
| No log | 17.12 | 428 | 0.5497 | 0.4848 | 0.5497 | 0.7414 |
| No log | 17.2 | 430 | 0.5550 | 0.4795 | 0.5550 | 0.7450 |
| No log | 17.28 | 432 | 0.5486 | 0.4848 | 0.5486 | 0.7407 |
| No log | 17.36 | 434 | 0.5466 | 0.5222 | 0.5466 | 0.7393 |
| No log | 17.44 | 436 | 0.5521 | 0.5222 | 0.5521 | 0.7430 |
| No log | 17.52 | 438 | 0.5622 | 0.5884 | 0.5622 | 0.7498 |
| No log | 17.6 | 440 | 0.5605 | 0.5884 | 0.5605 | 0.7487 |
| No log | 17.68 | 442 | 0.5658 | 0.5895 | 0.5658 | 0.7522 |
| No log | 17.76 | 444 | 0.5630 | 0.5871 | 0.5630 | 0.7504 |
| No log | 17.84 | 446 | 0.5408 | 0.5772 | 0.5408 | 0.7354 |
| No log | 17.92 | 448 | 0.5292 | 0.5306 | 0.5292 | 0.7274 |
| No log | 18.0 | 450 | 0.5364 | 0.5949 | 0.5364 | 0.7324 |
| No log | 18.08 | 452 | 0.5726 | 0.5904 | 0.5726 | 0.7567 |
| No log | 18.16 | 454 | 0.5900 | 0.5854 | 0.5900 | 0.7681 |
| No log | 18.24 | 456 | 0.5765 | 0.5526 | 0.5765 | 0.7592 |
| No log | 18.32 | 458 | 0.5829 | 0.5592 | 0.5829 | 0.7635 |
| No log | 18.4 | 460 | 0.5866 | 0.6267 | 0.5866 | 0.7659 |
| No log | 18.48 | 462 | 0.5835 | 0.6178 | 0.5835 | 0.7639 |
| No log | 18.56 | 464 | 0.5702 | 0.5801 | 0.5702 | 0.7551 |
| No log | 18.64 | 466 | 0.5525 | 0.5388 | 0.5525 | 0.7433 |
| No log | 18.72 | 468 | 0.5554 | 0.4795 | 0.5554 | 0.7453 |
| No log | 18.8 | 470 | 0.5773 | 0.5008 | 0.5773 | 0.7598 |
| No log | 18.88 | 472 | 0.5755 | 0.5111 | 0.5755 | 0.7586 |
| No log | 18.96 | 474 | 0.5681 | 0.5190 | 0.5681 | 0.7537 |
| No log | 19.04 | 476 | 0.5873 | 0.5148 | 0.5873 | 0.7663 |
| No log | 19.12 | 478 | 0.6427 | 0.5598 | 0.6427 | 0.8017 |
| No log | 19.2 | 480 | 0.6870 | 0.5520 | 0.6870 | 0.8288 |
| No log | 19.28 | 482 | 0.6993 | 0.5481 | 0.6993 | 0.8362 |
| No log | 19.36 | 484 | 0.6554 | 0.5439 | 0.6554 | 0.8096 |
| No log | 19.44 | 486 | 0.5937 | 0.4534 | 0.5937 | 0.7705 |
| No log | 19.52 | 488 | 0.5585 | 0.4534 | 0.5585 | 0.7473 |
| No log | 19.6 | 490 | 0.5427 | 0.4768 | 0.5427 | 0.7367 |
| No log | 19.68 | 492 | 0.5374 | 0.4701 | 0.5374 | 0.7331 |
| No log | 19.76 | 494 | 0.5414 | 0.4300 | 0.5414 | 0.7358 |
| No log | 19.84 | 496 | 0.5581 | 0.5201 | 0.5581 | 0.7470 |
| No log | 19.92 | 498 | 0.5745 | 0.5324 | 0.5745 | 0.7580 |
| 0.3106 | 20.0 | 500 | 0.5864 | 0.5652 | 0.5864 | 0.7658 |
| 0.3106 | 20.08 | 502 | 0.5898 | 0.5333 | 0.5898 | 0.7680 |
| 0.3106 | 20.16 | 504 | 0.6028 | 0.5190 | 0.6028 | 0.7764 |
| 0.3106 | 20.24 | 506 | 0.6018 | 0.5162 | 0.6018 | 0.7758 |
| 0.3106 | 20.32 | 508 | 0.6192 | 0.5333 | 0.6192 | 0.7869 |
| 0.3106 | 20.4 | 510 | 0.6188 | 0.5620 | 0.6188 | 0.7866 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- -
Model tree for MayBashendy/ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k5_task7_organization
Base model
aubmindlab/bert-base-arabertv02