ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k6_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: 0.6103
- Qwk: 0.4486
- Mse: 0.6103
- Rmse: 0.7812
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 | 0.0667 | 2 | 2.4928 | -0.0109 | 2.4928 | 1.5788 |
| No log | 0.1333 | 4 | 1.2261 | 0.1248 | 1.2261 | 1.1073 |
| No log | 0.2 | 6 | 0.7822 | 0.1786 | 0.7822 | 0.8844 |
| No log | 0.2667 | 8 | 0.6526 | 0.0937 | 0.6526 | 0.8078 |
| No log | 0.3333 | 10 | 0.5926 | 0.3942 | 0.5926 | 0.7698 |
| No log | 0.4 | 12 | 0.7680 | 0.3166 | 0.7680 | 0.8764 |
| No log | 0.4667 | 14 | 0.5575 | 0.5265 | 0.5575 | 0.7467 |
| No log | 0.5333 | 16 | 0.7021 | 0.3846 | 0.7021 | 0.8379 |
| No log | 0.6 | 18 | 0.9719 | 0.2589 | 0.9719 | 0.9859 |
| No log | 0.6667 | 20 | 0.9151 | 0.2316 | 0.9151 | 0.9566 |
| No log | 0.7333 | 22 | 0.8717 | 0.2471 | 0.8717 | 0.9336 |
| No log | 0.8 | 24 | 0.8149 | 0.0393 | 0.8149 | 0.9027 |
| No log | 0.8667 | 26 | 0.7647 | 0.1508 | 0.7647 | 0.8745 |
| No log | 0.9333 | 28 | 0.7886 | 0.4224 | 0.7886 | 0.8880 |
| No log | 1.0 | 30 | 0.7708 | 0.3746 | 0.7708 | 0.8779 |
| No log | 1.0667 | 32 | 0.6210 | 0.1508 | 0.6210 | 0.7880 |
| No log | 1.1333 | 34 | 0.6113 | 0.2979 | 0.6113 | 0.7818 |
| No log | 1.2 | 36 | 0.5934 | 0.3302 | 0.5934 | 0.7703 |
| No log | 1.2667 | 38 | 0.5824 | 0.3890 | 0.5824 | 0.7632 |
| No log | 1.3333 | 40 | 0.5675 | 0.4077 | 0.5675 | 0.7534 |
| No log | 1.4 | 42 | 0.5751 | 0.3144 | 0.5751 | 0.7583 |
| No log | 1.4667 | 44 | 0.6323 | 0.4745 | 0.6323 | 0.7952 |
| No log | 1.5333 | 46 | 0.6054 | 0.4134 | 0.6054 | 0.7781 |
| No log | 1.6 | 48 | 0.5731 | 0.4418 | 0.5731 | 0.7571 |
| No log | 1.6667 | 50 | 0.6009 | 0.4615 | 0.6009 | 0.7752 |
| No log | 1.7333 | 52 | 0.6255 | 0.4858 | 0.6255 | 0.7909 |
| No log | 1.8 | 54 | 0.7743 | 0.4811 | 0.7743 | 0.8799 |
| No log | 1.8667 | 56 | 0.8880 | 0.3671 | 0.8880 | 0.9423 |
| No log | 1.9333 | 58 | 0.7284 | 0.4868 | 0.7284 | 0.8534 |
| No log | 2.0 | 60 | 0.6514 | 0.5244 | 0.6514 | 0.8071 |
| No log | 2.0667 | 62 | 0.8552 | 0.4754 | 0.8552 | 0.9248 |
| No log | 2.1333 | 64 | 0.9121 | 0.4476 | 0.9121 | 0.9550 |
| No log | 2.2 | 66 | 0.6951 | 0.4779 | 0.6951 | 0.8338 |
| No log | 2.2667 | 68 | 0.7652 | 0.3517 | 0.7652 | 0.8748 |
| No log | 2.3333 | 70 | 0.8361 | 0.3312 | 0.8361 | 0.9144 |
| No log | 2.4 | 72 | 0.7072 | 0.3907 | 0.7072 | 0.8410 |
| No log | 2.4667 | 74 | 0.6047 | 0.3183 | 0.6047 | 0.7776 |
| No log | 2.5333 | 76 | 0.6273 | 0.3471 | 0.6273 | 0.7920 |
| No log | 2.6 | 78 | 0.6452 | 0.3918 | 0.6452 | 0.8033 |
| No log | 2.6667 | 80 | 0.6017 | 0.4020 | 0.6017 | 0.7757 |
| No log | 2.7333 | 82 | 0.5615 | 0.3599 | 0.5615 | 0.7493 |
| No log | 2.8 | 84 | 0.5628 | 0.4157 | 0.5628 | 0.7502 |
| No log | 2.8667 | 86 | 0.5535 | 0.4700 | 0.5535 | 0.7440 |
| No log | 2.9333 | 88 | 0.5596 | 0.5421 | 0.5596 | 0.7481 |
| No log | 3.0 | 90 | 0.5666 | 0.5189 | 0.5666 | 0.7527 |
| No log | 3.0667 | 92 | 0.5521 | 0.4703 | 0.5521 | 0.7430 |
| No log | 3.1333 | 94 | 0.5785 | 0.5457 | 0.5785 | 0.7606 |
| No log | 3.2 | 96 | 0.5541 | 0.5915 | 0.5541 | 0.7444 |
| No log | 3.2667 | 98 | 0.5767 | 0.4895 | 0.5767 | 0.7594 |
| No log | 3.3333 | 100 | 0.5513 | 0.5768 | 0.5513 | 0.7425 |
| No log | 3.4 | 102 | 0.5573 | 0.5257 | 0.5573 | 0.7465 |
| No log | 3.4667 | 104 | 0.5598 | 0.5390 | 0.5598 | 0.7482 |
| No log | 3.5333 | 106 | 0.7265 | 0.4635 | 0.7265 | 0.8524 |
| No log | 3.6 | 108 | 0.6658 | 0.5184 | 0.6658 | 0.8160 |
| No log | 3.6667 | 110 | 0.5365 | 0.5413 | 0.5365 | 0.7325 |
| No log | 3.7333 | 112 | 0.7133 | 0.4705 | 0.7133 | 0.8445 |
| No log | 3.8 | 114 | 0.9460 | 0.3781 | 0.9460 | 0.9726 |
| No log | 3.8667 | 116 | 0.9540 | 0.4125 | 0.9540 | 0.9767 |
| No log | 3.9333 | 118 | 0.6812 | 0.4614 | 0.6812 | 0.8254 |
| No log | 4.0 | 120 | 0.5699 | 0.5098 | 0.5699 | 0.7549 |
| No log | 4.0667 | 122 | 0.6392 | 0.4868 | 0.6392 | 0.7995 |
| No log | 4.1333 | 124 | 0.5896 | 0.4614 | 0.5896 | 0.7678 |
| No log | 4.2 | 126 | 0.5516 | 0.4958 | 0.5516 | 0.7427 |
| No log | 4.2667 | 128 | 0.6579 | 0.5195 | 0.6579 | 0.8111 |
| No log | 4.3333 | 130 | 0.6368 | 0.4893 | 0.6368 | 0.7980 |
| No log | 4.4 | 132 | 0.5510 | 0.5687 | 0.5510 | 0.7423 |
| No log | 4.4667 | 134 | 0.5115 | 0.5648 | 0.5115 | 0.7152 |
| No log | 4.5333 | 136 | 0.5087 | 0.5623 | 0.5087 | 0.7132 |
| No log | 4.6 | 138 | 0.5357 | 0.6004 | 0.5357 | 0.7319 |
| No log | 4.6667 | 140 | 0.5599 | 0.5617 | 0.5599 | 0.7482 |
| No log | 4.7333 | 142 | 0.5367 | 0.5937 | 0.5367 | 0.7326 |
| No log | 4.8 | 144 | 0.5554 | 0.5589 | 0.5554 | 0.7453 |
| No log | 4.8667 | 146 | 0.5925 | 0.5543 | 0.5925 | 0.7697 |
| No log | 4.9333 | 148 | 0.6649 | 0.5559 | 0.6649 | 0.8154 |
| No log | 5.0 | 150 | 0.6898 | 0.5774 | 0.6898 | 0.8306 |
| No log | 5.0667 | 152 | 0.6924 | 0.5824 | 0.6924 | 0.8321 |
| No log | 5.1333 | 154 | 0.6271 | 0.5786 | 0.6271 | 0.7919 |
| No log | 5.2 | 156 | 0.5959 | 0.4640 | 0.5959 | 0.7720 |
| No log | 5.2667 | 158 | 0.5876 | 0.4937 | 0.5876 | 0.7666 |
| No log | 5.3333 | 160 | 0.6193 | 0.4134 | 0.6193 | 0.7870 |
| No log | 5.4 | 162 | 0.6052 | 0.4828 | 0.6052 | 0.7779 |
| No log | 5.4667 | 164 | 0.6308 | 0.5009 | 0.6308 | 0.7942 |
| No log | 5.5333 | 166 | 0.7427 | 0.4562 | 0.7427 | 0.8618 |
| No log | 5.6 | 168 | 0.6972 | 0.4261 | 0.6972 | 0.8350 |
| No log | 5.6667 | 170 | 0.6285 | 0.4458 | 0.6285 | 0.7928 |
| No log | 5.7333 | 172 | 0.7789 | 0.4098 | 0.7789 | 0.8826 |
| No log | 5.8 | 174 | 0.9682 | 0.3538 | 0.9682 | 0.9840 |
| No log | 5.8667 | 176 | 0.8866 | 0.3302 | 0.8866 | 0.9416 |
| No log | 5.9333 | 178 | 0.6936 | 0.4123 | 0.6936 | 0.8328 |
| No log | 6.0 | 180 | 0.6137 | 0.4845 | 0.6137 | 0.7834 |
| No log | 6.0667 | 182 | 0.5721 | 0.4966 | 0.5721 | 0.7564 |
| No log | 6.1333 | 184 | 0.5720 | 0.5028 | 0.5720 | 0.7563 |
| No log | 6.2 | 186 | 0.5922 | 0.5026 | 0.5922 | 0.7695 |
| No log | 6.2667 | 188 | 0.5882 | 0.4937 | 0.5882 | 0.7669 |
| No log | 6.3333 | 190 | 0.6658 | 0.4925 | 0.6658 | 0.8160 |
| No log | 6.4 | 192 | 0.6578 | 0.5117 | 0.6578 | 0.8110 |
| No log | 6.4667 | 194 | 0.6055 | 0.4555 | 0.6055 | 0.7781 |
| No log | 6.5333 | 196 | 0.5617 | 0.4898 | 0.5617 | 0.7495 |
| No log | 6.6 | 198 | 0.5712 | 0.4960 | 0.5712 | 0.7558 |
| No log | 6.6667 | 200 | 0.5563 | 0.5152 | 0.5563 | 0.7458 |
| No log | 6.7333 | 202 | 0.5436 | 0.5323 | 0.5436 | 0.7373 |
| No log | 6.8 | 204 | 0.5857 | 0.5624 | 0.5857 | 0.7653 |
| No log | 6.8667 | 206 | 0.7459 | 0.5309 | 0.7459 | 0.8636 |
| No log | 6.9333 | 208 | 0.9034 | 0.4758 | 0.9034 | 0.9505 |
| No log | 7.0 | 210 | 0.8876 | 0.4926 | 0.8876 | 0.9421 |
| No log | 7.0667 | 212 | 0.7163 | 0.4874 | 0.7163 | 0.8463 |
| No log | 7.1333 | 214 | 0.6253 | 0.5229 | 0.6253 | 0.7907 |
| No log | 7.2 | 216 | 0.6136 | 0.5572 | 0.6136 | 0.7833 |
| No log | 7.2667 | 218 | 0.6025 | 0.5572 | 0.6025 | 0.7762 |
| No log | 7.3333 | 220 | 0.5937 | 0.4408 | 0.5937 | 0.7706 |
| No log | 7.4 | 222 | 0.7036 | 0.4114 | 0.7036 | 0.8388 |
| No log | 7.4667 | 224 | 0.7274 | 0.4255 | 0.7274 | 0.8529 |
| No log | 7.5333 | 226 | 0.6318 | 0.3869 | 0.6318 | 0.7948 |
| No log | 7.6 | 228 | 0.5998 | 0.4251 | 0.5998 | 0.7745 |
| No log | 7.6667 | 230 | 0.5755 | 0.4329 | 0.5755 | 0.7586 |
| No log | 7.7333 | 232 | 0.5620 | 0.4827 | 0.5620 | 0.7497 |
| No log | 7.8 | 234 | 0.5883 | 0.4964 | 0.5883 | 0.7670 |
| No log | 7.8667 | 236 | 0.5608 | 0.4898 | 0.5608 | 0.7489 |
| No log | 7.9333 | 238 | 0.5211 | 0.5237 | 0.5211 | 0.7219 |
| No log | 8.0 | 240 | 0.4898 | 0.5860 | 0.4898 | 0.6999 |
| No log | 8.0667 | 242 | 0.5007 | 0.5714 | 0.5007 | 0.7076 |
| No log | 8.1333 | 244 | 0.5093 | 0.5958 | 0.5093 | 0.7137 |
| No log | 8.2 | 246 | 0.5640 | 0.6056 | 0.5640 | 0.7510 |
| No log | 8.2667 | 248 | 0.6256 | 0.5812 | 0.6256 | 0.7910 |
| No log | 8.3333 | 250 | 0.6033 | 0.5875 | 0.6033 | 0.7767 |
| No log | 8.4 | 252 | 0.5390 | 0.6022 | 0.5390 | 0.7342 |
| No log | 8.4667 | 254 | 0.5174 | 0.5640 | 0.5174 | 0.7193 |
| No log | 8.5333 | 256 | 0.5176 | 0.5840 | 0.5176 | 0.7195 |
| No log | 8.6 | 258 | 0.5446 | 0.6130 | 0.5446 | 0.7380 |
| No log | 8.6667 | 260 | 0.6512 | 0.6179 | 0.6512 | 0.8070 |
| No log | 8.7333 | 262 | 0.6817 | 0.5719 | 0.6817 | 0.8256 |
| No log | 8.8 | 264 | 0.6062 | 0.5625 | 0.6062 | 0.7786 |
| No log | 8.8667 | 266 | 0.5927 | 0.5659 | 0.5927 | 0.7698 |
| No log | 8.9333 | 268 | 0.5535 | 0.5528 | 0.5535 | 0.7440 |
| No log | 9.0 | 270 | 0.5605 | 0.5403 | 0.5605 | 0.7487 |
| No log | 9.0667 | 272 | 0.5293 | 0.6135 | 0.5293 | 0.7275 |
| No log | 9.1333 | 274 | 0.4832 | 0.6564 | 0.4832 | 0.6952 |
| No log | 9.2 | 276 | 0.5024 | 0.5663 | 0.5024 | 0.7088 |
| No log | 9.2667 | 278 | 0.5001 | 0.5683 | 0.5001 | 0.7072 |
| No log | 9.3333 | 280 | 0.5151 | 0.6040 | 0.5151 | 0.7177 |
| No log | 9.4 | 282 | 0.5564 | 0.5852 | 0.5564 | 0.7459 |
| No log | 9.4667 | 284 | 0.5899 | 0.6188 | 0.5899 | 0.7681 |
| No log | 9.5333 | 286 | 0.5452 | 0.5583 | 0.5452 | 0.7384 |
| No log | 9.6 | 288 | 0.5431 | 0.5472 | 0.5431 | 0.7369 |
| No log | 9.6667 | 290 | 0.5588 | 0.4934 | 0.5588 | 0.7475 |
| No log | 9.7333 | 292 | 0.5734 | 0.4919 | 0.5734 | 0.7572 |
| No log | 9.8 | 294 | 0.5969 | 0.5801 | 0.5969 | 0.7726 |
| No log | 9.8667 | 296 | 0.5827 | 0.5876 | 0.5827 | 0.7633 |
| No log | 9.9333 | 298 | 0.5521 | 0.5813 | 0.5521 | 0.7430 |
| No log | 10.0 | 300 | 0.5366 | 0.5756 | 0.5366 | 0.7325 |
| No log | 10.0667 | 302 | 0.5350 | 0.5926 | 0.5350 | 0.7314 |
| No log | 10.1333 | 304 | 0.5445 | 0.5926 | 0.5445 | 0.7379 |
| No log | 10.2 | 306 | 0.5647 | 0.5666 | 0.5647 | 0.7514 |
| No log | 10.2667 | 308 | 0.5678 | 0.5543 | 0.5678 | 0.7535 |
| No log | 10.3333 | 310 | 0.5676 | 0.5566 | 0.5676 | 0.7534 |
| No log | 10.4 | 312 | 0.5801 | 0.5368 | 0.5801 | 0.7616 |
| No log | 10.4667 | 314 | 0.5976 | 0.5470 | 0.5976 | 0.7731 |
| No log | 10.5333 | 316 | 0.5913 | 0.4302 | 0.5913 | 0.7690 |
| No log | 10.6 | 318 | 0.6219 | 0.4819 | 0.6219 | 0.7886 |
| No log | 10.6667 | 320 | 0.6359 | 0.4819 | 0.6359 | 0.7974 |
| No log | 10.7333 | 322 | 0.5960 | 0.5063 | 0.5960 | 0.7720 |
| No log | 10.8 | 324 | 0.5569 | 0.4681 | 0.5569 | 0.7462 |
| No log | 10.8667 | 326 | 0.5621 | 0.5119 | 0.5621 | 0.7497 |
| No log | 10.9333 | 328 | 0.5722 | 0.5119 | 0.5722 | 0.7565 |
| No log | 11.0 | 330 | 0.6089 | 0.5333 | 0.6089 | 0.7803 |
| No log | 11.0667 | 332 | 0.6116 | 0.5290 | 0.6116 | 0.7820 |
| No log | 11.1333 | 334 | 0.6000 | 0.5290 | 0.6000 | 0.7746 |
| No log | 11.2 | 336 | 0.5705 | 0.5113 | 0.5705 | 0.7553 |
| No log | 11.2667 | 338 | 0.5809 | 0.6075 | 0.5809 | 0.7621 |
| No log | 11.3333 | 340 | 0.5882 | 0.6011 | 0.5882 | 0.7669 |
| No log | 11.4 | 342 | 0.6737 | 0.5452 | 0.6737 | 0.8208 |
| No log | 11.4667 | 344 | 0.8982 | 0.4087 | 0.8982 | 0.9477 |
| No log | 11.5333 | 346 | 0.9712 | 0.4110 | 0.9712 | 0.9855 |
| No log | 11.6 | 348 | 0.8262 | 0.5124 | 0.8262 | 0.9089 |
| No log | 11.6667 | 350 | 0.6356 | 0.5258 | 0.6356 | 0.7972 |
| No log | 11.7333 | 352 | 0.5499 | 0.5560 | 0.5499 | 0.7415 |
| No log | 11.8 | 354 | 0.5403 | 0.4300 | 0.5403 | 0.7351 |
| No log | 11.8667 | 356 | 0.5558 | 0.3813 | 0.5558 | 0.7455 |
| No log | 11.9333 | 358 | 0.6039 | 0.4576 | 0.6039 | 0.7771 |
| No log | 12.0 | 360 | 0.7087 | 0.4587 | 0.7087 | 0.8418 |
| No log | 12.0667 | 362 | 0.7356 | 0.4805 | 0.7356 | 0.8577 |
| No log | 12.1333 | 364 | 0.7269 | 0.4805 | 0.7269 | 0.8526 |
| No log | 12.2 | 366 | 0.6799 | 0.5204 | 0.6799 | 0.8246 |
| No log | 12.2667 | 368 | 0.5765 | 0.5383 | 0.5765 | 0.7592 |
| No log | 12.3333 | 370 | 0.5304 | 0.4813 | 0.5304 | 0.7283 |
| No log | 12.4 | 372 | 0.5374 | 0.4813 | 0.5374 | 0.7331 |
| No log | 12.4667 | 374 | 0.5892 | 0.5152 | 0.5892 | 0.7676 |
| No log | 12.5333 | 376 | 0.5776 | 0.5553 | 0.5776 | 0.7600 |
| No log | 12.6 | 378 | 0.5208 | 0.5151 | 0.5208 | 0.7217 |
| No log | 12.6667 | 380 | 0.5029 | 0.5926 | 0.5029 | 0.7092 |
| No log | 12.7333 | 382 | 0.4941 | 0.5926 | 0.4941 | 0.7029 |
| No log | 12.8 | 384 | 0.5012 | 0.5926 | 0.5012 | 0.7080 |
| No log | 12.8667 | 386 | 0.5163 | 0.5756 | 0.5163 | 0.7186 |
| No log | 12.9333 | 388 | 0.5311 | 0.5363 | 0.5311 | 0.7288 |
| No log | 13.0 | 390 | 0.5380 | 0.5273 | 0.5380 | 0.7335 |
| No log | 13.0667 | 392 | 0.5398 | 0.5273 | 0.5398 | 0.7347 |
| No log | 13.1333 | 394 | 0.5347 | 0.5674 | 0.5347 | 0.7312 |
| No log | 13.2 | 396 | 0.5392 | 0.5165 | 0.5392 | 0.7343 |
| No log | 13.2667 | 398 | 0.5510 | 0.5622 | 0.5510 | 0.7423 |
| No log | 13.3333 | 400 | 0.5767 | 0.5958 | 0.5767 | 0.7594 |
| No log | 13.4 | 402 | 0.5851 | 0.6129 | 0.5851 | 0.7649 |
| No log | 13.4667 | 404 | 0.5634 | 0.5871 | 0.5634 | 0.7506 |
| No log | 13.5333 | 406 | 0.5683 | 0.5737 | 0.5683 | 0.7539 |
| No log | 13.6 | 408 | 0.5810 | 0.5814 | 0.5810 | 0.7623 |
| No log | 13.6667 | 410 | 0.5417 | 0.5978 | 0.5417 | 0.7360 |
| No log | 13.7333 | 412 | 0.5070 | 0.5756 | 0.5070 | 0.7120 |
| No log | 13.8 | 414 | 0.4900 | 0.5306 | 0.4900 | 0.7000 |
| No log | 13.8667 | 416 | 0.5028 | 0.4895 | 0.5028 | 0.7091 |
| No log | 13.9333 | 418 | 0.5110 | 0.4801 | 0.5110 | 0.7149 |
| No log | 14.0 | 420 | 0.5311 | 0.5009 | 0.5311 | 0.7287 |
| No log | 14.0667 | 422 | 0.5549 | 0.4524 | 0.5549 | 0.7449 |
| No log | 14.1333 | 424 | 0.5967 | 0.4321 | 0.5967 | 0.7725 |
| No log | 14.2 | 426 | 0.6801 | 0.4893 | 0.6801 | 0.8247 |
| No log | 14.2667 | 428 | 0.7909 | 0.4852 | 0.7909 | 0.8893 |
| No log | 14.3333 | 430 | 0.8151 | 0.4584 | 0.8151 | 0.9028 |
| No log | 14.4 | 432 | 0.7708 | 0.3740 | 0.7708 | 0.8780 |
| No log | 14.4667 | 434 | 0.6857 | 0.3918 | 0.6857 | 0.8280 |
| No log | 14.5333 | 436 | 0.6837 | 0.4165 | 0.6837 | 0.8269 |
| No log | 14.6 | 438 | 0.6748 | 0.4646 | 0.6748 | 0.8215 |
| No log | 14.6667 | 440 | 0.7232 | 0.4982 | 0.7232 | 0.8504 |
| No log | 14.7333 | 442 | 0.7130 | 0.4423 | 0.7130 | 0.8444 |
| No log | 14.8 | 444 | 0.7202 | 0.4315 | 0.7202 | 0.8487 |
| No log | 14.8667 | 446 | 0.7756 | 0.4051 | 0.7756 | 0.8807 |
| No log | 14.9333 | 448 | 0.7701 | 0.3940 | 0.7701 | 0.8775 |
| No log | 15.0 | 450 | 0.7107 | 0.4307 | 0.7107 | 0.8430 |
| No log | 15.0667 | 452 | 0.6650 | 0.3092 | 0.6650 | 0.8155 |
| No log | 15.1333 | 454 | 0.6371 | 0.2787 | 0.6371 | 0.7982 |
| No log | 15.2 | 456 | 0.6199 | 0.3416 | 0.6199 | 0.7874 |
| No log | 15.2667 | 458 | 0.6214 | 0.4081 | 0.6214 | 0.7883 |
| No log | 15.3333 | 460 | 0.6732 | 0.5416 | 0.6732 | 0.8205 |
| No log | 15.4 | 462 | 0.7103 | 0.5204 | 0.7103 | 0.8428 |
| No log | 15.4667 | 464 | 0.6787 | 0.5204 | 0.6787 | 0.8238 |
| No log | 15.5333 | 466 | 0.6466 | 0.5246 | 0.6466 | 0.8041 |
| No log | 15.6 | 468 | 0.5971 | 0.4126 | 0.5971 | 0.7727 |
| No log | 15.6667 | 470 | 0.5808 | 0.4635 | 0.5808 | 0.7621 |
| No log | 15.7333 | 472 | 0.5775 | 0.4715 | 0.5775 | 0.7599 |
| No log | 15.8 | 474 | 0.5756 | 0.5051 | 0.5756 | 0.7587 |
| No log | 15.8667 | 476 | 0.6035 | 0.5368 | 0.6035 | 0.7769 |
| No log | 15.9333 | 478 | 0.6348 | 0.6096 | 0.6348 | 0.7967 |
| No log | 16.0 | 480 | 0.6352 | 0.6096 | 0.6352 | 0.7970 |
| No log | 16.0667 | 482 | 0.6015 | 0.5417 | 0.6015 | 0.7756 |
| No log | 16.1333 | 484 | 0.5762 | 0.4919 | 0.5762 | 0.7591 |
| No log | 16.2 | 486 | 0.5655 | 0.4992 | 0.5655 | 0.7520 |
| No log | 16.2667 | 488 | 0.5669 | 0.4767 | 0.5669 | 0.7529 |
| No log | 16.3333 | 490 | 0.5796 | 0.4360 | 0.5796 | 0.7613 |
| No log | 16.4 | 492 | 0.6047 | 0.4822 | 0.6047 | 0.7776 |
| No log | 16.4667 | 494 | 0.6475 | 0.5705 | 0.6475 | 0.8047 |
| No log | 16.5333 | 496 | 0.6898 | 0.5204 | 0.6898 | 0.8306 |
| No log | 16.6 | 498 | 0.6976 | 0.5204 | 0.6976 | 0.8352 |
| 0.2637 | 16.6667 | 500 | 0.6427 | 0.5692 | 0.6427 | 0.8017 |
| 0.2637 | 16.7333 | 502 | 0.5917 | 0.5093 | 0.5917 | 0.7692 |
| 0.2637 | 16.8 | 504 | 0.5936 | 0.4547 | 0.5936 | 0.7704 |
| 0.2637 | 16.8667 | 506 | 0.6085 | 0.4240 | 0.6085 | 0.7801 |
| 0.2637 | 16.9333 | 508 | 0.6046 | 0.4659 | 0.6046 | 0.7776 |
| 0.2637 | 17.0 | 510 | 0.6103 | 0.4486 | 0.6103 | 0.7812 |
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_run3_AugV5_k6_task7_organization
Base model
aubmindlab/bert-base-arabertv02