ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k17_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: 0.5717
- Qwk: 0.4979
- Mse: 0.5717
- Rmse: 0.7561
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 | 0.0235 | 2 | 2.5530 | 0.0070 | 2.5530 | 1.5978 |
| No log | 0.0471 | 4 | 1.2030 | 0.0487 | 1.2030 | 1.0968 |
| No log | 0.0706 | 6 | 0.7308 | 0.1786 | 0.7308 | 0.8549 |
| No log | 0.0941 | 8 | 0.8797 | 0.1911 | 0.8797 | 0.9379 |
| No log | 0.1176 | 10 | 1.1941 | -0.1098 | 1.1941 | 1.0928 |
| No log | 0.1412 | 12 | 1.2298 | 0.0120 | 1.2298 | 1.1089 |
| No log | 0.1647 | 14 | 1.1563 | 0.1557 | 1.1563 | 1.0753 |
| No log | 0.1882 | 16 | 0.8465 | 0.1628 | 0.8465 | 0.9201 |
| No log | 0.2118 | 18 | 0.7764 | 0.0 | 0.7764 | 0.8811 |
| No log | 0.2353 | 20 | 0.7237 | 0.0428 | 0.7237 | 0.8507 |
| No log | 0.2588 | 22 | 0.6865 | 0.0428 | 0.6865 | 0.8285 |
| No log | 0.2824 | 24 | 0.6567 | 0.0840 | 0.6567 | 0.8104 |
| No log | 0.3059 | 26 | 0.6463 | 0.3166 | 0.6463 | 0.8039 |
| No log | 0.3294 | 28 | 0.8062 | 0.2211 | 0.8062 | 0.8979 |
| No log | 0.3529 | 30 | 1.0529 | 0.2455 | 1.0529 | 1.0261 |
| No log | 0.3765 | 32 | 0.9873 | 0.3118 | 0.9873 | 0.9936 |
| No log | 0.4 | 34 | 0.6362 | 0.3737 | 0.6362 | 0.7976 |
| No log | 0.4235 | 36 | 0.5521 | 0.4591 | 0.5521 | 0.7430 |
| No log | 0.4471 | 38 | 0.5893 | 0.4802 | 0.5893 | 0.7677 |
| No log | 0.4706 | 40 | 0.6882 | 0.3937 | 0.6882 | 0.8296 |
| No log | 0.4941 | 42 | 0.6522 | 0.4575 | 0.6522 | 0.8076 |
| No log | 0.5176 | 44 | 0.6045 | 0.5547 | 0.6045 | 0.7775 |
| No log | 0.5412 | 46 | 0.5539 | 0.5742 | 0.5539 | 0.7443 |
| No log | 0.5647 | 48 | 0.6128 | 0.5705 | 0.6128 | 0.7828 |
| No log | 0.5882 | 50 | 0.6284 | 0.5931 | 0.6284 | 0.7927 |
| No log | 0.6118 | 52 | 0.5447 | 0.5653 | 0.5447 | 0.7380 |
| No log | 0.6353 | 54 | 0.5737 | 0.3833 | 0.5737 | 0.7574 |
| No log | 0.6588 | 56 | 0.5983 | 0.4335 | 0.5983 | 0.7735 |
| No log | 0.6824 | 58 | 0.5753 | 0.4315 | 0.5753 | 0.7585 |
| No log | 0.7059 | 60 | 0.5315 | 0.5711 | 0.5315 | 0.7290 |
| No log | 0.7294 | 62 | 0.5138 | 0.6078 | 0.5138 | 0.7168 |
| No log | 0.7529 | 64 | 0.5807 | 0.4634 | 0.5807 | 0.7620 |
| No log | 0.7765 | 66 | 0.9321 | 0.3309 | 0.9321 | 0.9655 |
| No log | 0.8 | 68 | 0.9915 | 0.2746 | 0.9915 | 0.9958 |
| No log | 0.8235 | 70 | 0.7422 | 0.3869 | 0.7422 | 0.8615 |
| No log | 0.8471 | 72 | 0.5757 | 0.4934 | 0.5757 | 0.7587 |
| No log | 0.8706 | 74 | 0.7561 | 0.4400 | 0.7561 | 0.8695 |
| No log | 0.8941 | 76 | 0.7825 | 0.4222 | 0.7825 | 0.8846 |
| No log | 0.9176 | 78 | 0.6148 | 0.5003 | 0.6148 | 0.7841 |
| No log | 0.9412 | 80 | 0.6823 | 0.4474 | 0.6823 | 0.8260 |
| No log | 0.9647 | 82 | 0.7587 | 0.3873 | 0.7587 | 0.8711 |
| No log | 0.9882 | 84 | 0.6162 | 0.4452 | 0.6162 | 0.7850 |
| No log | 1.0118 | 86 | 0.5271 | 0.5728 | 0.5271 | 0.7260 |
| No log | 1.0353 | 88 | 0.5166 | 0.5765 | 0.5166 | 0.7188 |
| No log | 1.0588 | 90 | 0.5818 | 0.5363 | 0.5818 | 0.7627 |
| No log | 1.0824 | 92 | 0.8393 | 0.3462 | 0.8393 | 0.9161 |
| No log | 1.1059 | 94 | 0.8838 | 0.3418 | 0.8838 | 0.9401 |
| No log | 1.1294 | 96 | 0.7011 | 0.4124 | 0.7011 | 0.8373 |
| No log | 1.1529 | 98 | 0.5104 | 0.6771 | 0.5104 | 0.7144 |
| No log | 1.1765 | 100 | 0.4987 | 0.6115 | 0.4987 | 0.7062 |
| No log | 1.2 | 102 | 0.5115 | 0.5473 | 0.5115 | 0.7152 |
| No log | 1.2235 | 104 | 0.5211 | 0.4795 | 0.5211 | 0.7219 |
| No log | 1.2471 | 106 | 0.5220 | 0.4224 | 0.5220 | 0.7225 |
| No log | 1.2706 | 108 | 0.5239 | 0.5170 | 0.5239 | 0.7238 |
| No log | 1.2941 | 110 | 0.5495 | 0.5639 | 0.5495 | 0.7413 |
| No log | 1.3176 | 112 | 0.5520 | 0.5845 | 0.5520 | 0.7430 |
| No log | 1.3412 | 114 | 0.5555 | 0.5974 | 0.5555 | 0.7453 |
| No log | 1.3647 | 116 | 0.5810 | 0.6298 | 0.5810 | 0.7622 |
| No log | 1.3882 | 118 | 0.6579 | 0.4744 | 0.6579 | 0.8111 |
| No log | 1.4118 | 120 | 0.6446 | 0.4501 | 0.6446 | 0.8029 |
| No log | 1.4353 | 122 | 0.5855 | 0.6307 | 0.5855 | 0.7652 |
| No log | 1.4588 | 124 | 0.8142 | 0.4946 | 0.8142 | 0.9023 |
| No log | 1.4824 | 126 | 0.9806 | 0.5263 | 0.9806 | 0.9902 |
| No log | 1.5059 | 128 | 0.7851 | 0.4548 | 0.7851 | 0.8860 |
| No log | 1.5294 | 130 | 0.5460 | 0.5758 | 0.5460 | 0.7389 |
| No log | 1.5529 | 132 | 0.4763 | 0.5739 | 0.4763 | 0.6901 |
| No log | 1.5765 | 134 | 0.5408 | 0.5636 | 0.5408 | 0.7354 |
| No log | 1.6 | 136 | 0.6041 | 0.4851 | 0.6041 | 0.7772 |
| No log | 1.6235 | 138 | 0.5448 | 0.5014 | 0.5448 | 0.7381 |
| No log | 1.6471 | 140 | 0.4954 | 0.5472 | 0.4954 | 0.7038 |
| No log | 1.6706 | 142 | 0.5279 | 0.5141 | 0.5279 | 0.7265 |
| No log | 1.6941 | 144 | 0.5146 | 0.4526 | 0.5146 | 0.7174 |
| No log | 1.7176 | 146 | 0.4866 | 0.5405 | 0.4866 | 0.6976 |
| No log | 1.7412 | 148 | 0.4649 | 0.6530 | 0.4649 | 0.6818 |
| No log | 1.7647 | 150 | 0.4406 | 0.5801 | 0.4406 | 0.6638 |
| No log | 1.7882 | 152 | 0.4872 | 0.5736 | 0.4872 | 0.6980 |
| No log | 1.8118 | 154 | 0.5907 | 0.5709 | 0.5907 | 0.7686 |
| No log | 1.8353 | 156 | 0.5705 | 0.5632 | 0.5705 | 0.7553 |
| No log | 1.8588 | 158 | 0.4774 | 0.6633 | 0.4774 | 0.6909 |
| No log | 1.8824 | 160 | 0.4871 | 0.6516 | 0.4871 | 0.6979 |
| No log | 1.9059 | 162 | 0.5612 | 0.5752 | 0.5612 | 0.7492 |
| No log | 1.9294 | 164 | 0.6264 | 0.5382 | 0.6264 | 0.7915 |
| No log | 1.9529 | 166 | 0.4990 | 0.5642 | 0.4990 | 0.7064 |
| No log | 1.9765 | 168 | 0.4460 | 0.5587 | 0.4460 | 0.6678 |
| No log | 2.0 | 170 | 0.4642 | 0.5867 | 0.4642 | 0.6813 |
| No log | 2.0235 | 172 | 0.4684 | 0.6087 | 0.4684 | 0.6844 |
| No log | 2.0471 | 174 | 0.4678 | 0.6007 | 0.4678 | 0.6839 |
| No log | 2.0706 | 176 | 0.5042 | 0.6036 | 0.5042 | 0.7101 |
| No log | 2.0941 | 178 | 0.4885 | 0.6356 | 0.4885 | 0.6989 |
| No log | 2.1176 | 180 | 0.5230 | 0.5649 | 0.5230 | 0.7232 |
| No log | 2.1412 | 182 | 0.4876 | 0.6356 | 0.4876 | 0.6983 |
| No log | 2.1647 | 184 | 0.4684 | 0.6609 | 0.4684 | 0.6844 |
| No log | 2.1882 | 186 | 0.6243 | 0.5024 | 0.6243 | 0.7901 |
| No log | 2.2118 | 188 | 0.7646 | 0.4496 | 0.7646 | 0.8744 |
| No log | 2.2353 | 190 | 0.6308 | 0.4949 | 0.6308 | 0.7942 |
| No log | 2.2588 | 192 | 0.5838 | 0.5431 | 0.5838 | 0.7640 |
| No log | 2.2824 | 194 | 0.4896 | 0.5979 | 0.4896 | 0.6997 |
| No log | 2.3059 | 196 | 0.5074 | 0.6247 | 0.5074 | 0.7124 |
| No log | 2.3294 | 198 | 0.4879 | 0.5719 | 0.4879 | 0.6985 |
| No log | 2.3529 | 200 | 0.4880 | 0.5485 | 0.4880 | 0.6986 |
| No log | 2.3765 | 202 | 0.5224 | 0.5252 | 0.5224 | 0.7228 |
| No log | 2.4 | 204 | 0.5093 | 0.5209 | 0.5093 | 0.7137 |
| No log | 2.4235 | 206 | 0.5136 | 0.5111 | 0.5136 | 0.7166 |
| No log | 2.4471 | 208 | 0.4905 | 0.5209 | 0.4905 | 0.7003 |
| No log | 2.4706 | 210 | 0.4898 | 0.5836 | 0.4898 | 0.6998 |
| No log | 2.4941 | 212 | 0.4708 | 0.5868 | 0.4708 | 0.6861 |
| No log | 2.5176 | 214 | 0.4693 | 0.5868 | 0.4693 | 0.6851 |
| No log | 2.5412 | 216 | 0.4723 | 0.5567 | 0.4723 | 0.6872 |
| No log | 2.5647 | 218 | 0.4802 | 0.5647 | 0.4802 | 0.6930 |
| No log | 2.5882 | 220 | 0.5354 | 0.5697 | 0.5354 | 0.7317 |
| No log | 2.6118 | 222 | 0.6115 | 0.5562 | 0.6115 | 0.7820 |
| No log | 2.6353 | 224 | 0.6825 | 0.4597 | 0.6825 | 0.8261 |
| No log | 2.6588 | 226 | 0.6837 | 0.4180 | 0.6837 | 0.8268 |
| No log | 2.6824 | 228 | 0.6192 | 0.5107 | 0.6192 | 0.7869 |
| No log | 2.7059 | 230 | 0.5259 | 0.5086 | 0.5259 | 0.7252 |
| No log | 2.7294 | 232 | 0.5122 | 0.5177 | 0.5122 | 0.7157 |
| No log | 2.7529 | 234 | 0.5710 | 0.5523 | 0.5710 | 0.7557 |
| No log | 2.7765 | 236 | 0.6487 | 0.5065 | 0.6487 | 0.8054 |
| No log | 2.8 | 238 | 0.5694 | 0.4964 | 0.5694 | 0.7546 |
| No log | 2.8235 | 240 | 0.5337 | 0.4684 | 0.5337 | 0.7305 |
| No log | 2.8471 | 242 | 0.5259 | 0.4902 | 0.5259 | 0.7252 |
| No log | 2.8706 | 244 | 0.5388 | 0.4968 | 0.5388 | 0.7341 |
| No log | 2.8941 | 246 | 0.5181 | 0.5182 | 0.5181 | 0.7198 |
| No log | 2.9176 | 248 | 0.5752 | 0.4898 | 0.5752 | 0.7584 |
| No log | 2.9412 | 250 | 0.6390 | 0.5085 | 0.6390 | 0.7994 |
| No log | 2.9647 | 252 | 0.6183 | 0.4582 | 0.6183 | 0.7863 |
| No log | 2.9882 | 254 | 0.5561 | 0.4243 | 0.5561 | 0.7457 |
| No log | 3.0118 | 256 | 0.5386 | 0.4879 | 0.5386 | 0.7339 |
| No log | 3.0353 | 258 | 0.5237 | 0.4238 | 0.5237 | 0.7237 |
| No log | 3.0588 | 260 | 0.5206 | 0.4001 | 0.5206 | 0.7215 |
| No log | 3.0824 | 262 | 0.5238 | 0.5111 | 0.5238 | 0.7237 |
| No log | 3.1059 | 264 | 0.5325 | 0.5063 | 0.5325 | 0.7297 |
| No log | 3.1294 | 266 | 0.5102 | 0.5209 | 0.5102 | 0.7143 |
| No log | 3.1529 | 268 | 0.4728 | 0.5836 | 0.4728 | 0.6876 |
| No log | 3.1765 | 270 | 0.4695 | 0.5798 | 0.4695 | 0.6852 |
| No log | 3.2 | 272 | 0.4814 | 0.5918 | 0.4814 | 0.6938 |
| No log | 3.2235 | 274 | 0.4967 | 0.5895 | 0.4967 | 0.7048 |
| No log | 3.2471 | 276 | 0.5159 | 0.6182 | 0.5159 | 0.7183 |
| No log | 3.2706 | 278 | 0.5582 | 0.5315 | 0.5582 | 0.7471 |
| No log | 3.2941 | 280 | 0.5851 | 0.5331 | 0.5851 | 0.7649 |
| No log | 3.3176 | 282 | 0.5161 | 0.5265 | 0.5161 | 0.7184 |
| No log | 3.3412 | 284 | 0.5046 | 0.4768 | 0.5046 | 0.7103 |
| No log | 3.3647 | 286 | 0.5098 | 0.4515 | 0.5098 | 0.7140 |
| No log | 3.3882 | 288 | 0.5315 | 0.4211 | 0.5315 | 0.7290 |
| No log | 3.4118 | 290 | 0.5837 | 0.5208 | 0.5837 | 0.7640 |
| No log | 3.4353 | 292 | 0.5459 | 0.4429 | 0.5459 | 0.7389 |
| No log | 3.4588 | 294 | 0.5246 | 0.5326 | 0.5246 | 0.7243 |
| No log | 3.4824 | 296 | 0.5401 | 0.5214 | 0.5401 | 0.7349 |
| No log | 3.5059 | 298 | 0.5285 | 0.5214 | 0.5285 | 0.7269 |
| No log | 3.5294 | 300 | 0.5192 | 0.6060 | 0.5192 | 0.7206 |
| No log | 3.5529 | 302 | 0.5332 | 0.5634 | 0.5332 | 0.7302 |
| No log | 3.5765 | 304 | 0.5467 | 0.6265 | 0.5467 | 0.7394 |
| No log | 3.6 | 306 | 0.6337 | 0.5336 | 0.6337 | 0.7961 |
| No log | 3.6235 | 308 | 0.6898 | 0.4775 | 0.6898 | 0.8306 |
| No log | 3.6471 | 310 | 0.6928 | 0.4222 | 0.6928 | 0.8324 |
| No log | 3.6706 | 312 | 0.7088 | 0.3645 | 0.7088 | 0.8419 |
| No log | 3.6941 | 314 | 0.5874 | 0.5177 | 0.5874 | 0.7664 |
| No log | 3.7176 | 316 | 0.5387 | 0.5749 | 0.5387 | 0.7340 |
| No log | 3.7412 | 318 | 0.5351 | 0.5749 | 0.5351 | 0.7315 |
| No log | 3.7647 | 320 | 0.5728 | 0.5254 | 0.5728 | 0.7568 |
| No log | 3.7882 | 322 | 0.5853 | 0.5528 | 0.5853 | 0.7650 |
| No log | 3.8118 | 324 | 0.5821 | 0.5745 | 0.5821 | 0.7629 |
| No log | 3.8353 | 326 | 0.5679 | 0.5956 | 0.5679 | 0.7536 |
| No log | 3.8588 | 328 | 0.5611 | 0.5815 | 0.5611 | 0.7491 |
| No log | 3.8824 | 330 | 0.5566 | 0.4964 | 0.5566 | 0.7460 |
| No log | 3.9059 | 332 | 0.6090 | 0.5275 | 0.6090 | 0.7804 |
| No log | 3.9294 | 334 | 0.7144 | 0.4304 | 0.7144 | 0.8452 |
| No log | 3.9529 | 336 | 0.6646 | 0.4199 | 0.6646 | 0.8152 |
| No log | 3.9765 | 338 | 0.5672 | 0.5720 | 0.5672 | 0.7531 |
| No log | 4.0 | 340 | 0.5063 | 0.5467 | 0.5063 | 0.7115 |
| No log | 4.0235 | 342 | 0.5031 | 0.5467 | 0.5031 | 0.7093 |
| No log | 4.0471 | 344 | 0.5317 | 0.5448 | 0.5317 | 0.7292 |
| No log | 4.0706 | 346 | 0.5564 | 0.5622 | 0.5564 | 0.7459 |
| No log | 4.0941 | 348 | 0.5259 | 0.5752 | 0.5259 | 0.7252 |
| No log | 4.1176 | 350 | 0.5242 | 0.5549 | 0.5242 | 0.7240 |
| No log | 4.1412 | 352 | 0.5352 | 0.5912 | 0.5352 | 0.7316 |
| No log | 4.1647 | 354 | 0.5766 | 0.5712 | 0.5766 | 0.7593 |
| No log | 4.1882 | 356 | 0.5460 | 0.6067 | 0.5460 | 0.7389 |
| No log | 4.2118 | 358 | 0.5251 | 0.5361 | 0.5251 | 0.7247 |
| No log | 4.2353 | 360 | 0.5587 | 0.5117 | 0.5587 | 0.7475 |
| No log | 4.2588 | 362 | 0.5206 | 0.5208 | 0.5206 | 0.7215 |
| No log | 4.2824 | 364 | 0.5184 | 0.5485 | 0.5184 | 0.7200 |
| No log | 4.3059 | 366 | 0.6378 | 0.5042 | 0.6378 | 0.7986 |
| No log | 4.3294 | 368 | 0.7327 | 0.4183 | 0.7327 | 0.8560 |
| No log | 4.3529 | 370 | 0.6830 | 0.4805 | 0.6830 | 0.8265 |
| No log | 4.3765 | 372 | 0.5860 | 0.5639 | 0.5860 | 0.7655 |
| No log | 4.4 | 374 | 0.5102 | 0.5819 | 0.5102 | 0.7143 |
| No log | 4.4235 | 376 | 0.5119 | 0.4990 | 0.5119 | 0.7155 |
| No log | 4.4471 | 378 | 0.5166 | 0.5171 | 0.5166 | 0.7188 |
| No log | 4.4706 | 380 | 0.4972 | 0.5782 | 0.4972 | 0.7051 |
| No log | 4.4941 | 382 | 0.5234 | 0.5752 | 0.5234 | 0.7234 |
| No log | 4.5176 | 384 | 0.6379 | 0.4893 | 0.6379 | 0.7987 |
| No log | 4.5412 | 386 | 0.7825 | 0.4183 | 0.7825 | 0.8846 |
| No log | 4.5647 | 388 | 0.7633 | 0.4039 | 0.7633 | 0.8737 |
| No log | 4.5882 | 390 | 0.6380 | 0.4887 | 0.6380 | 0.7987 |
| No log | 4.6118 | 392 | 0.4982 | 0.5715 | 0.4982 | 0.7059 |
| No log | 4.6353 | 394 | 0.4741 | 0.6017 | 0.4741 | 0.6885 |
| No log | 4.6588 | 396 | 0.5123 | 0.6223 | 0.5123 | 0.7158 |
| No log | 4.6824 | 398 | 0.5390 | 0.5855 | 0.5390 | 0.7342 |
| No log | 4.7059 | 400 | 0.5452 | 0.5657 | 0.5452 | 0.7384 |
| No log | 4.7294 | 402 | 0.5591 | 0.5584 | 0.5591 | 0.7477 |
| No log | 4.7529 | 404 | 0.5083 | 0.5714 | 0.5083 | 0.7130 |
| No log | 4.7765 | 406 | 0.5091 | 0.5715 | 0.5091 | 0.7135 |
| No log | 4.8 | 408 | 0.5761 | 0.4684 | 0.5761 | 0.7590 |
| No log | 4.8235 | 410 | 0.6061 | 0.3843 | 0.6061 | 0.7785 |
| No log | 4.8471 | 412 | 0.5805 | 0.4502 | 0.5805 | 0.7619 |
| No log | 4.8706 | 414 | 0.5400 | 0.4867 | 0.5400 | 0.7348 |
| No log | 4.8941 | 416 | 0.5155 | 0.5131 | 0.5155 | 0.7180 |
| No log | 4.9176 | 418 | 0.4995 | 0.5386 | 0.4995 | 0.7068 |
| No log | 4.9412 | 420 | 0.5196 | 0.5655 | 0.5196 | 0.7208 |
| No log | 4.9647 | 422 | 0.5141 | 0.5655 | 0.5141 | 0.7170 |
| No log | 4.9882 | 424 | 0.4754 | 0.6024 | 0.4754 | 0.6895 |
| No log | 5.0118 | 426 | 0.4892 | 0.6884 | 0.4892 | 0.6995 |
| No log | 5.0353 | 428 | 0.4681 | 0.6579 | 0.4681 | 0.6842 |
| No log | 5.0588 | 430 | 0.4605 | 0.6293 | 0.4605 | 0.6786 |
| No log | 5.0824 | 432 | 0.4802 | 0.6293 | 0.4802 | 0.6930 |
| No log | 5.1059 | 434 | 0.5500 | 0.5237 | 0.5500 | 0.7416 |
| No log | 5.1294 | 436 | 0.5966 | 0.4759 | 0.5966 | 0.7724 |
| No log | 5.1529 | 438 | 0.6323 | 0.4385 | 0.6323 | 0.7952 |
| No log | 5.1765 | 440 | 0.6979 | 0.4468 | 0.6979 | 0.8354 |
| No log | 5.2 | 442 | 0.7914 | 0.3747 | 0.7914 | 0.8896 |
| No log | 5.2235 | 444 | 0.7628 | 0.4070 | 0.7628 | 0.8734 |
| No log | 5.2471 | 446 | 0.6590 | 0.4468 | 0.6590 | 0.8118 |
| No log | 5.2706 | 448 | 0.6571 | 0.4812 | 0.6571 | 0.8106 |
| No log | 5.2941 | 450 | 0.6548 | 0.4684 | 0.6548 | 0.8092 |
| No log | 5.3176 | 452 | 0.6207 | 0.4755 | 0.6207 | 0.7878 |
| No log | 5.3412 | 454 | 0.5366 | 0.6067 | 0.5366 | 0.7325 |
| No log | 5.3647 | 456 | 0.4848 | 0.5955 | 0.4848 | 0.6963 |
| No log | 5.3882 | 458 | 0.4792 | 0.6186 | 0.4792 | 0.6923 |
| No log | 5.4118 | 460 | 0.4903 | 0.6289 | 0.4903 | 0.7002 |
| No log | 5.4353 | 462 | 0.4965 | 0.5852 | 0.4965 | 0.7046 |
| No log | 5.4588 | 464 | 0.5235 | 0.4855 | 0.5235 | 0.7235 |
| No log | 5.4824 | 466 | 0.5316 | 0.5271 | 0.5316 | 0.7291 |
| No log | 5.5059 | 468 | 0.5177 | 0.5081 | 0.5177 | 0.7195 |
| No log | 5.5294 | 470 | 0.5114 | 0.5267 | 0.5114 | 0.7151 |
| No log | 5.5529 | 472 | 0.4996 | 0.5189 | 0.4996 | 0.7068 |
| No log | 5.5765 | 474 | 0.5012 | 0.6553 | 0.5012 | 0.7080 |
| No log | 5.6 | 476 | 0.5176 | 0.6914 | 0.5176 | 0.7195 |
| No log | 5.6235 | 478 | 0.5375 | 0.6613 | 0.5375 | 0.7332 |
| No log | 5.6471 | 480 | 0.5767 | 0.4987 | 0.5767 | 0.7594 |
| No log | 5.6706 | 482 | 0.5751 | 0.4309 | 0.5751 | 0.7584 |
| No log | 5.6941 | 484 | 0.5045 | 0.6047 | 0.5045 | 0.7103 |
| No log | 5.7176 | 486 | 0.4705 | 0.6530 | 0.4705 | 0.6859 |
| No log | 5.7412 | 488 | 0.6057 | 0.4315 | 0.6057 | 0.7783 |
| No log | 5.7647 | 490 | 0.7133 | 0.4114 | 0.7133 | 0.8446 |
| No log | 5.7882 | 492 | 0.6644 | 0.4315 | 0.6644 | 0.8151 |
| No log | 5.8118 | 494 | 0.5481 | 0.5497 | 0.5481 | 0.7403 |
| No log | 5.8353 | 496 | 0.4822 | 0.5868 | 0.4822 | 0.6944 |
| No log | 5.8588 | 498 | 0.4867 | 0.5475 | 0.4867 | 0.6977 |
| 0.3238 | 5.8824 | 500 | 0.5029 | 0.5356 | 0.5029 | 0.7092 |
| 0.3238 | 5.9059 | 502 | 0.4944 | 0.6154 | 0.4944 | 0.7031 |
| 0.3238 | 5.9294 | 504 | 0.4950 | 0.6052 | 0.4950 | 0.7036 |
| 0.3238 | 5.9529 | 506 | 0.5009 | 0.5845 | 0.5009 | 0.7078 |
| 0.3238 | 5.9765 | 508 | 0.5150 | 0.6025 | 0.5150 | 0.7176 |
| 0.3238 | 6.0 | 510 | 0.5634 | 0.5568 | 0.5634 | 0.7506 |
| 0.3238 | 6.0235 | 512 | 0.5590 | 0.5166 | 0.5590 | 0.7477 |
| 0.3238 | 6.0471 | 514 | 0.5385 | 0.6067 | 0.5385 | 0.7338 |
| 0.3238 | 6.0706 | 516 | 0.5477 | 0.5560 | 0.5477 | 0.7401 |
| 0.3238 | 6.0941 | 518 | 0.5614 | 0.5528 | 0.5614 | 0.7493 |
| 0.3238 | 6.1176 | 520 | 0.5427 | 0.5957 | 0.5427 | 0.7367 |
| 0.3238 | 6.1412 | 522 | 0.4929 | 0.6348 | 0.4929 | 0.7020 |
| 0.3238 | 6.1647 | 524 | 0.5218 | 0.5933 | 0.5218 | 0.7224 |
| 0.3238 | 6.1882 | 526 | 0.5469 | 0.5161 | 0.5469 | 0.7396 |
| 0.3238 | 6.2118 | 528 | 0.5271 | 0.5933 | 0.5271 | 0.7260 |
| 0.3238 | 6.2353 | 530 | 0.4855 | 0.5649 | 0.4855 | 0.6968 |
| 0.3238 | 6.2588 | 532 | 0.4671 | 0.6335 | 0.4671 | 0.6835 |
| 0.3238 | 6.2824 | 534 | 0.4649 | 0.6335 | 0.4649 | 0.6818 |
| 0.3238 | 6.3059 | 536 | 0.4602 | 0.6200 | 0.4602 | 0.6784 |
| 0.3238 | 6.3294 | 538 | 0.4660 | 0.5995 | 0.4660 | 0.6826 |
| 0.3238 | 6.3529 | 540 | 0.4999 | 0.6004 | 0.4999 | 0.7070 |
| 0.3238 | 6.3765 | 542 | 0.5262 | 0.6214 | 0.5262 | 0.7254 |
| 0.3238 | 6.4 | 544 | 0.4988 | 0.6025 | 0.4988 | 0.7062 |
| 0.3238 | 6.4235 | 546 | 0.4823 | 0.6214 | 0.4823 | 0.6945 |
| 0.3238 | 6.4471 | 548 | 0.4839 | 0.6251 | 0.4839 | 0.6956 |
| 0.3238 | 6.4706 | 550 | 0.4804 | 0.6317 | 0.4804 | 0.6931 |
| 0.3238 | 6.4941 | 552 | 0.4842 | 0.6757 | 0.4842 | 0.6958 |
| 0.3238 | 6.5176 | 554 | 0.5038 | 0.6295 | 0.5038 | 0.7098 |
| 0.3238 | 6.5412 | 556 | 0.4723 | 0.6757 | 0.4723 | 0.6873 |
| 0.3238 | 6.5647 | 558 | 0.5080 | 0.5980 | 0.5080 | 0.7127 |
| 0.3238 | 6.5882 | 560 | 0.6012 | 0.5308 | 0.6012 | 0.7754 |
| 0.3238 | 6.6118 | 562 | 0.7049 | 0.4684 | 0.7049 | 0.8396 |
| 0.3238 | 6.6353 | 564 | 0.6928 | 0.4614 | 0.6928 | 0.8324 |
| 0.3238 | 6.6588 | 566 | 0.6464 | 0.4819 | 0.6464 | 0.8040 |
| 0.3238 | 6.6824 | 568 | 0.5717 | 0.4979 | 0.5717 | 0.7561 |
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_k17_task7_organization
Base model
aubmindlab/bert-base-arabertv02