ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_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: 0.6081
- Qwk: 0.5448
- Mse: 0.6081
- Rmse: 0.7798
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 | 2.4881 | -0.0109 | 2.4881 | 1.5774 |
| No log | 0.0471 | 4 | 1.2662 | 0.0754 | 1.2662 | 1.1253 |
| No log | 0.0706 | 6 | 0.7618 | 0.1358 | 0.7618 | 0.8728 |
| No log | 0.0941 | 8 | 0.9326 | 0.2105 | 0.9326 | 0.9657 |
| No log | 0.1176 | 10 | 0.7842 | 0.1850 | 0.7842 | 0.8856 |
| No log | 0.1412 | 12 | 0.6851 | 0.3029 | 0.6851 | 0.8277 |
| No log | 0.1647 | 14 | 1.0104 | 0.2131 | 1.0104 | 1.0052 |
| No log | 0.1882 | 16 | 1.3911 | 0.1606 | 1.3911 | 1.1794 |
| No log | 0.2118 | 18 | 1.0458 | 0.1857 | 1.0458 | 1.0227 |
| No log | 0.2353 | 20 | 0.6336 | 0.4638 | 0.6336 | 0.7960 |
| No log | 0.2588 | 22 | 1.1110 | 0.1236 | 1.1110 | 1.0540 |
| No log | 0.2824 | 24 | 1.0622 | 0.1466 | 1.0622 | 1.0306 |
| No log | 0.3059 | 26 | 0.6264 | 0.5239 | 0.6264 | 0.7914 |
| No log | 0.3294 | 28 | 0.5290 | 0.5304 | 0.5290 | 0.7273 |
| No log | 0.3529 | 30 | 0.5375 | 0.5960 | 0.5375 | 0.7331 |
| No log | 0.3765 | 32 | 0.5105 | 0.4681 | 0.5105 | 0.7145 |
| No log | 0.4 | 34 | 0.5043 | 0.5361 | 0.5043 | 0.7101 |
| No log | 0.4235 | 36 | 0.4952 | 0.5361 | 0.4952 | 0.7037 |
| No log | 0.4471 | 38 | 0.5707 | 0.5195 | 0.5707 | 0.7554 |
| No log | 0.4706 | 40 | 0.7322 | 0.4979 | 0.7322 | 0.8557 |
| No log | 0.4941 | 42 | 0.5455 | 0.6137 | 0.5455 | 0.7386 |
| No log | 0.5176 | 44 | 0.4979 | 0.6172 | 0.4979 | 0.7056 |
| No log | 0.5412 | 46 | 0.4788 | 0.6423 | 0.4788 | 0.6920 |
| No log | 0.5647 | 48 | 0.5018 | 0.6248 | 0.5018 | 0.7083 |
| No log | 0.5882 | 50 | 0.4777 | 0.6040 | 0.4777 | 0.6912 |
| No log | 0.6118 | 52 | 0.4988 | 0.5947 | 0.4988 | 0.7062 |
| No log | 0.6353 | 54 | 0.6250 | 0.5146 | 0.6250 | 0.7906 |
| No log | 0.6588 | 56 | 0.6285 | 0.5543 | 0.6285 | 0.7928 |
| No log | 0.6824 | 58 | 0.4838 | 0.5642 | 0.4838 | 0.6956 |
| No log | 0.7059 | 60 | 0.4831 | 0.6398 | 0.4831 | 0.6950 |
| No log | 0.7294 | 62 | 0.4848 | 0.6853 | 0.4848 | 0.6963 |
| No log | 0.7529 | 64 | 0.4960 | 0.6416 | 0.4960 | 0.7043 |
| No log | 0.7765 | 66 | 0.6035 | 0.6009 | 0.6035 | 0.7768 |
| No log | 0.8 | 68 | 0.5653 | 0.5854 | 0.5653 | 0.7518 |
| No log | 0.8235 | 70 | 0.5711 | 0.6635 | 0.5711 | 0.7557 |
| No log | 0.8471 | 72 | 0.7685 | 0.5811 | 0.7685 | 0.8767 |
| No log | 0.8706 | 74 | 0.7267 | 0.5846 | 0.7267 | 0.8525 |
| No log | 0.8941 | 76 | 0.4890 | 0.6100 | 0.4890 | 0.6993 |
| No log | 0.9176 | 78 | 0.5428 | 0.5643 | 0.5428 | 0.7368 |
| No log | 0.9412 | 80 | 0.6780 | 0.5401 | 0.6780 | 0.8234 |
| No log | 0.9647 | 82 | 0.6218 | 0.5401 | 0.6218 | 0.7886 |
| No log | 0.9882 | 84 | 0.4815 | 0.6496 | 0.4815 | 0.6939 |
| No log | 1.0118 | 86 | 0.7162 | 0.5506 | 0.7162 | 0.8463 |
| No log | 1.0353 | 88 | 0.7442 | 0.5360 | 0.7442 | 0.8627 |
| No log | 1.0588 | 90 | 0.5156 | 0.5538 | 0.5156 | 0.7181 |
| No log | 1.0824 | 92 | 0.6100 | 0.5664 | 0.6100 | 0.7810 |
| No log | 1.1059 | 94 | 0.7901 | 0.4784 | 0.7901 | 0.8889 |
| No log | 1.1294 | 96 | 0.7180 | 0.5464 | 0.7180 | 0.8474 |
| No log | 1.1529 | 98 | 0.5545 | 0.5950 | 0.5545 | 0.7446 |
| No log | 1.1765 | 100 | 0.5308 | 0.5627 | 0.5308 | 0.7286 |
| No log | 1.2 | 102 | 0.5617 | 0.5056 | 0.5617 | 0.7495 |
| No log | 1.2235 | 104 | 0.5920 | 0.4404 | 0.5920 | 0.7694 |
| No log | 1.2471 | 106 | 0.5331 | 0.5308 | 0.5331 | 0.7301 |
| No log | 1.2706 | 108 | 0.4874 | 0.5159 | 0.4874 | 0.6981 |
| No log | 1.2941 | 110 | 0.4854 | 0.6052 | 0.4854 | 0.6967 |
| No log | 1.3176 | 112 | 0.5222 | 0.6388 | 0.5222 | 0.7226 |
| No log | 1.3412 | 114 | 0.5549 | 0.7170 | 0.5549 | 0.7449 |
| No log | 1.3647 | 116 | 0.5773 | 0.6920 | 0.5773 | 0.7598 |
| No log | 1.3882 | 118 | 0.5475 | 0.6742 | 0.5475 | 0.7399 |
| No log | 1.4118 | 120 | 0.5062 | 0.6420 | 0.5062 | 0.7115 |
| No log | 1.4353 | 122 | 0.4830 | 0.5902 | 0.4830 | 0.6950 |
| No log | 1.4588 | 124 | 0.5208 | 0.5425 | 0.5208 | 0.7216 |
| No log | 1.4824 | 126 | 0.5497 | 0.5909 | 0.5497 | 0.7414 |
| No log | 1.5059 | 128 | 0.5261 | 0.6262 | 0.5261 | 0.7253 |
| No log | 1.5294 | 130 | 0.5165 | 0.6332 | 0.5165 | 0.7187 |
| No log | 1.5529 | 132 | 0.5190 | 0.6486 | 0.5190 | 0.7204 |
| No log | 1.5765 | 134 | 0.6331 | 0.5471 | 0.6331 | 0.7957 |
| No log | 1.6 | 136 | 0.7167 | 0.4979 | 0.7167 | 0.8466 |
| No log | 1.6235 | 138 | 0.5530 | 0.4997 | 0.5530 | 0.7436 |
| No log | 1.6471 | 140 | 0.4938 | 0.5390 | 0.4938 | 0.7027 |
| No log | 1.6706 | 142 | 0.4983 | 0.5596 | 0.4983 | 0.7059 |
| No log | 1.6941 | 144 | 0.5494 | 0.5149 | 0.5494 | 0.7412 |
| No log | 1.7176 | 146 | 0.6956 | 0.4684 | 0.6956 | 0.8340 |
| No log | 1.7412 | 148 | 0.6632 | 0.4701 | 0.6632 | 0.8144 |
| No log | 1.7647 | 150 | 0.5257 | 0.5612 | 0.5257 | 0.7250 |
| No log | 1.7882 | 152 | 0.5149 | 0.5434 | 0.5149 | 0.7175 |
| No log | 1.8118 | 154 | 0.5198 | 0.5405 | 0.5198 | 0.7210 |
| No log | 1.8353 | 156 | 0.5483 | 0.5612 | 0.5483 | 0.7405 |
| No log | 1.8588 | 158 | 0.6077 | 0.4789 | 0.6077 | 0.7796 |
| No log | 1.8824 | 160 | 0.6574 | 0.4457 | 0.6574 | 0.8108 |
| No log | 1.9059 | 162 | 0.5848 | 0.4625 | 0.5848 | 0.7647 |
| No log | 1.9294 | 164 | 0.5061 | 0.5118 | 0.5061 | 0.7114 |
| No log | 1.9529 | 166 | 0.5024 | 0.5135 | 0.5024 | 0.7088 |
| No log | 1.9765 | 168 | 0.5199 | 0.5462 | 0.5199 | 0.7211 |
| No log | 2.0 | 170 | 0.7086 | 0.4738 | 0.7086 | 0.8418 |
| No log | 2.0235 | 172 | 0.7411 | 0.3889 | 0.7411 | 0.8609 |
| No log | 2.0471 | 174 | 0.5676 | 0.4845 | 0.5676 | 0.7534 |
| No log | 2.0706 | 176 | 0.4863 | 0.5160 | 0.4863 | 0.6973 |
| No log | 2.0941 | 178 | 0.5389 | 0.5970 | 0.5389 | 0.7341 |
| No log | 2.1176 | 180 | 0.5493 | 0.6445 | 0.5493 | 0.7412 |
| No log | 2.1412 | 182 | 0.5614 | 0.5847 | 0.5614 | 0.7493 |
| No log | 2.1647 | 184 | 0.6995 | 0.5639 | 0.6995 | 0.8364 |
| No log | 2.1882 | 186 | 0.6642 | 0.5487 | 0.6642 | 0.8150 |
| No log | 2.2118 | 188 | 0.5266 | 0.5902 | 0.5266 | 0.7257 |
| No log | 2.2353 | 190 | 0.5164 | 0.5840 | 0.5164 | 0.7186 |
| No log | 2.2588 | 192 | 0.5258 | 0.5786 | 0.5258 | 0.7251 |
| No log | 2.2824 | 194 | 0.6955 | 0.5190 | 0.6955 | 0.8340 |
| No log | 2.3059 | 196 | 0.9035 | 0.5226 | 0.9035 | 0.9505 |
| No log | 2.3294 | 198 | 0.8390 | 0.5002 | 0.8390 | 0.9160 |
| No log | 2.3529 | 200 | 0.6023 | 0.4531 | 0.6023 | 0.7761 |
| No log | 2.3765 | 202 | 0.4923 | 0.5488 | 0.4923 | 0.7016 |
| No log | 2.4 | 204 | 0.4811 | 0.5697 | 0.4811 | 0.6936 |
| No log | 2.4235 | 206 | 0.5074 | 0.5668 | 0.5074 | 0.7123 |
| No log | 2.4471 | 208 | 0.5804 | 0.5233 | 0.5804 | 0.7618 |
| No log | 2.4706 | 210 | 0.5478 | 0.5587 | 0.5478 | 0.7401 |
| No log | 2.4941 | 212 | 0.5058 | 0.5682 | 0.5058 | 0.7112 |
| No log | 2.5176 | 214 | 0.4859 | 0.5167 | 0.4859 | 0.6971 |
| No log | 2.5412 | 216 | 0.4869 | 0.5662 | 0.4869 | 0.6978 |
| No log | 2.5647 | 218 | 0.5000 | 0.5473 | 0.5000 | 0.7071 |
| No log | 2.5882 | 220 | 0.5098 | 0.5379 | 0.5098 | 0.7140 |
| No log | 2.6118 | 222 | 0.4860 | 0.5367 | 0.4860 | 0.6972 |
| No log | 2.6353 | 224 | 0.4953 | 0.5485 | 0.4953 | 0.7037 |
| No log | 2.6588 | 226 | 0.5432 | 0.5039 | 0.5432 | 0.7371 |
| No log | 2.6824 | 228 | 0.5392 | 0.5639 | 0.5392 | 0.7343 |
| No log | 2.7059 | 230 | 0.5364 | 0.4753 | 0.5364 | 0.7324 |
| No log | 2.7294 | 232 | 0.5121 | 0.4984 | 0.5121 | 0.7156 |
| No log | 2.7529 | 234 | 0.5417 | 0.4493 | 0.5417 | 0.7360 |
| No log | 2.7765 | 236 | 0.7240 | 0.4835 | 0.7240 | 0.8509 |
| No log | 2.8 | 238 | 0.8268 | 0.3739 | 0.8268 | 0.9093 |
| No log | 2.8235 | 240 | 0.8385 | 0.3228 | 0.8385 | 0.9157 |
| No log | 2.8471 | 242 | 0.7135 | 0.4549 | 0.7135 | 0.8447 |
| No log | 2.8706 | 244 | 0.5653 | 0.4945 | 0.5653 | 0.7519 |
| No log | 2.8941 | 246 | 0.5279 | 0.4729 | 0.5279 | 0.7266 |
| No log | 2.9176 | 248 | 0.5425 | 0.5367 | 0.5425 | 0.7366 |
| No log | 2.9412 | 250 | 0.5498 | 0.4997 | 0.5498 | 0.7415 |
| No log | 2.9647 | 252 | 0.6449 | 0.4862 | 0.6449 | 0.8031 |
| No log | 2.9882 | 254 | 0.7647 | 0.5139 | 0.7647 | 0.8745 |
| No log | 3.0118 | 256 | 0.7998 | 0.4942 | 0.7998 | 0.8943 |
| No log | 3.0353 | 258 | 0.6679 | 0.4815 | 0.6679 | 0.8172 |
| No log | 3.0588 | 260 | 0.5307 | 0.5845 | 0.5307 | 0.7285 |
| No log | 3.0824 | 262 | 0.5210 | 0.5845 | 0.5210 | 0.7218 |
| No log | 3.1059 | 264 | 0.5922 | 0.5243 | 0.5922 | 0.7695 |
| No log | 3.1294 | 266 | 0.6412 | 0.4723 | 0.6412 | 0.8007 |
| No log | 3.1529 | 268 | 0.5896 | 0.5149 | 0.5896 | 0.7678 |
| No log | 3.1765 | 270 | 0.4862 | 0.6111 | 0.4862 | 0.6973 |
| No log | 3.2 | 272 | 0.4716 | 0.5796 | 0.4716 | 0.6868 |
| No log | 3.2235 | 274 | 0.5187 | 0.5584 | 0.5187 | 0.7202 |
| No log | 3.2471 | 276 | 0.4997 | 0.5794 | 0.4997 | 0.7069 |
| No log | 3.2706 | 278 | 0.4559 | 0.6255 | 0.4559 | 0.6752 |
| No log | 3.2941 | 280 | 0.5245 | 0.6010 | 0.5245 | 0.7242 |
| No log | 3.3176 | 282 | 0.6276 | 0.5688 | 0.6276 | 0.7922 |
| No log | 3.3412 | 284 | 0.5869 | 0.6237 | 0.5869 | 0.7661 |
| No log | 3.3647 | 286 | 0.5201 | 0.5583 | 0.5201 | 0.7212 |
| No log | 3.3882 | 288 | 0.4859 | 0.4955 | 0.4859 | 0.6971 |
| No log | 3.4118 | 290 | 0.4863 | 0.5951 | 0.4863 | 0.6974 |
| No log | 3.4353 | 292 | 0.5168 | 0.6337 | 0.5168 | 0.7189 |
| No log | 3.4588 | 294 | 0.5600 | 0.6509 | 0.5600 | 0.7484 |
| No log | 3.4824 | 296 | 0.7124 | 0.5684 | 0.7124 | 0.8441 |
| No log | 3.5059 | 298 | 0.7673 | 0.5357 | 0.7673 | 0.8760 |
| No log | 3.5294 | 300 | 0.6188 | 0.5727 | 0.6188 | 0.7867 |
| No log | 3.5529 | 302 | 0.5294 | 0.5499 | 0.5294 | 0.7276 |
| No log | 3.5765 | 304 | 0.5038 | 0.5947 | 0.5038 | 0.7098 |
| No log | 3.6 | 306 | 0.4828 | 0.6228 | 0.4828 | 0.6949 |
| No log | 3.6235 | 308 | 0.4730 | 0.5698 | 0.4730 | 0.6877 |
| No log | 3.6471 | 310 | 0.5038 | 0.5479 | 0.5038 | 0.7098 |
| No log | 3.6706 | 312 | 0.4957 | 0.5479 | 0.4957 | 0.7041 |
| No log | 3.6941 | 314 | 0.4792 | 0.5195 | 0.4792 | 0.6923 |
| No log | 3.7176 | 316 | 0.5617 | 0.5934 | 0.5617 | 0.7495 |
| No log | 3.7412 | 318 | 0.6720 | 0.5219 | 0.6720 | 0.8198 |
| No log | 3.7647 | 320 | 0.6570 | 0.5409 | 0.6570 | 0.8106 |
| No log | 3.7882 | 322 | 0.5441 | 0.5934 | 0.5441 | 0.7376 |
| No log | 3.8118 | 324 | 0.4858 | 0.6032 | 0.4858 | 0.6970 |
| No log | 3.8353 | 326 | 0.4776 | 0.5826 | 0.4776 | 0.6911 |
| No log | 3.8588 | 328 | 0.4999 | 0.5660 | 0.4999 | 0.7070 |
| No log | 3.8824 | 330 | 0.5116 | 0.5515 | 0.5116 | 0.7153 |
| No log | 3.9059 | 332 | 0.5170 | 0.5970 | 0.5170 | 0.7190 |
| No log | 3.9294 | 334 | 0.5348 | 0.5229 | 0.5348 | 0.7313 |
| No log | 3.9529 | 336 | 0.5607 | 0.5276 | 0.5607 | 0.7488 |
| No log | 3.9765 | 338 | 0.5554 | 0.5291 | 0.5554 | 0.7453 |
| No log | 4.0 | 340 | 0.5226 | 0.5093 | 0.5226 | 0.7229 |
| No log | 4.0235 | 342 | 0.4851 | 0.5488 | 0.4851 | 0.6965 |
| No log | 4.0471 | 344 | 0.4829 | 0.5340 | 0.4829 | 0.6949 |
| No log | 4.0706 | 346 | 0.4885 | 0.5269 | 0.4885 | 0.6989 |
| No log | 4.0941 | 348 | 0.5187 | 0.5697 | 0.5187 | 0.7202 |
| No log | 4.1176 | 350 | 0.6019 | 0.5712 | 0.6019 | 0.7759 |
| No log | 4.1412 | 352 | 0.6773 | 0.5824 | 0.6773 | 0.8230 |
| No log | 4.1647 | 354 | 0.7490 | 0.5710 | 0.7490 | 0.8655 |
| No log | 4.1882 | 356 | 0.7016 | 0.5846 | 0.7016 | 0.8376 |
| No log | 4.2118 | 358 | 0.5608 | 0.5973 | 0.5608 | 0.7488 |
| No log | 4.2353 | 360 | 0.4931 | 0.6662 | 0.4931 | 0.7022 |
| No log | 4.2588 | 362 | 0.4727 | 0.7022 | 0.4727 | 0.6875 |
| No log | 4.2824 | 364 | 0.4659 | 0.7022 | 0.4659 | 0.6826 |
| No log | 4.3059 | 366 | 0.4620 | 0.6472 | 0.4620 | 0.6797 |
| No log | 4.3294 | 368 | 0.5079 | 0.5840 | 0.5079 | 0.7127 |
| No log | 4.3529 | 370 | 0.5455 | 0.6285 | 0.5455 | 0.7386 |
| No log | 4.3765 | 372 | 0.5297 | 0.6277 | 0.5297 | 0.7278 |
| No log | 4.4 | 374 | 0.4690 | 0.6359 | 0.4690 | 0.6848 |
| No log | 4.4235 | 376 | 0.4636 | 0.6411 | 0.4636 | 0.6808 |
| No log | 4.4471 | 378 | 0.4539 | 0.6411 | 0.4539 | 0.6737 |
| No log | 4.4706 | 380 | 0.4521 | 0.7114 | 0.4521 | 0.6724 |
| No log | 4.4941 | 382 | 0.4689 | 0.6158 | 0.4689 | 0.6848 |
| No log | 4.5176 | 384 | 0.4957 | 0.5933 | 0.4957 | 0.7041 |
| No log | 4.5412 | 386 | 0.4712 | 0.5910 | 0.4712 | 0.6864 |
| No log | 4.5647 | 388 | 0.4440 | 0.6542 | 0.4440 | 0.6663 |
| No log | 4.5882 | 390 | 0.4482 | 0.6739 | 0.4482 | 0.6695 |
| No log | 4.6118 | 392 | 0.4530 | 0.6929 | 0.4530 | 0.6731 |
| No log | 4.6353 | 394 | 0.4510 | 0.6727 | 0.4510 | 0.6716 |
| No log | 4.6588 | 396 | 0.4613 | 0.6252 | 0.4613 | 0.6792 |
| No log | 4.6824 | 398 | 0.5211 | 0.5884 | 0.5211 | 0.7219 |
| No log | 4.7059 | 400 | 0.5646 | 0.5801 | 0.5646 | 0.7514 |
| No log | 4.7294 | 402 | 0.5151 | 0.5884 | 0.5151 | 0.7177 |
| No log | 4.7529 | 404 | 0.4604 | 0.6252 | 0.4604 | 0.6786 |
| No log | 4.7765 | 406 | 0.4553 | 0.6210 | 0.4553 | 0.6748 |
| No log | 4.8 | 408 | 0.4541 | 0.6210 | 0.4541 | 0.6739 |
| No log | 4.8235 | 410 | 0.4443 | 0.6171 | 0.4443 | 0.6665 |
| No log | 4.8471 | 412 | 0.4735 | 0.6058 | 0.4735 | 0.6881 |
| No log | 4.8706 | 414 | 0.5540 | 0.5538 | 0.5540 | 0.7443 |
| No log | 4.8941 | 416 | 0.5695 | 0.5107 | 0.5695 | 0.7547 |
| No log | 4.9176 | 418 | 0.4899 | 0.5909 | 0.4899 | 0.6999 |
| No log | 4.9412 | 420 | 0.4373 | 0.6344 | 0.4373 | 0.6613 |
| No log | 4.9647 | 422 | 0.4394 | 0.6344 | 0.4394 | 0.6629 |
| No log | 4.9882 | 424 | 0.4447 | 0.5625 | 0.4447 | 0.6669 |
| No log | 5.0118 | 426 | 0.4661 | 0.6145 | 0.4661 | 0.6827 |
| No log | 5.0353 | 428 | 0.4833 | 0.6160 | 0.4833 | 0.6952 |
| No log | 5.0588 | 430 | 0.5115 | 0.6187 | 0.5115 | 0.7152 |
| No log | 5.0824 | 432 | 0.5046 | 0.6127 | 0.5046 | 0.7103 |
| No log | 5.1059 | 434 | 0.5023 | 0.5640 | 0.5023 | 0.7087 |
| No log | 5.1294 | 436 | 0.4934 | 0.5604 | 0.4934 | 0.7024 |
| No log | 5.1529 | 438 | 0.4849 | 0.5565 | 0.4849 | 0.6964 |
| No log | 5.1765 | 440 | 0.4936 | 0.5089 | 0.4936 | 0.7025 |
| No log | 5.2 | 442 | 0.5546 | 0.5677 | 0.5546 | 0.7447 |
| No log | 5.2235 | 444 | 0.6501 | 0.4418 | 0.6501 | 0.8063 |
| No log | 5.2471 | 446 | 0.6727 | 0.4614 | 0.6727 | 0.8202 |
| No log | 5.2706 | 448 | 0.6483 | 0.4812 | 0.6483 | 0.8052 |
| No log | 5.2941 | 450 | 0.6701 | 0.4812 | 0.6701 | 0.8186 |
| No log | 5.3176 | 452 | 0.6549 | 0.4812 | 0.6549 | 0.8093 |
| No log | 5.3412 | 454 | 0.6373 | 0.5801 | 0.6373 | 0.7983 |
| No log | 5.3647 | 456 | 0.6347 | 0.5966 | 0.6347 | 0.7967 |
| No log | 5.3882 | 458 | 0.5572 | 0.5639 | 0.5572 | 0.7465 |
| No log | 5.4118 | 460 | 0.4966 | 0.5947 | 0.4966 | 0.7047 |
| No log | 5.4353 | 462 | 0.4493 | 0.6339 | 0.4493 | 0.6703 |
| No log | 5.4588 | 464 | 0.4445 | 0.6339 | 0.4445 | 0.6667 |
| No log | 5.4824 | 466 | 0.4798 | 0.5543 | 0.4798 | 0.6927 |
| No log | 5.5059 | 468 | 0.5337 | 0.5845 | 0.5337 | 0.7305 |
| No log | 5.5294 | 470 | 0.5086 | 0.5741 | 0.5086 | 0.7132 |
| No log | 5.5529 | 472 | 0.4426 | 0.5860 | 0.4426 | 0.6653 |
| No log | 5.5765 | 474 | 0.4521 | 0.6943 | 0.4521 | 0.6724 |
| No log | 5.6 | 476 | 0.4815 | 0.6606 | 0.4815 | 0.6939 |
| No log | 5.6235 | 478 | 0.4847 | 0.6847 | 0.4847 | 0.6962 |
| No log | 5.6471 | 480 | 0.5048 | 0.6078 | 0.5048 | 0.7105 |
| No log | 5.6706 | 482 | 0.6309 | 0.5824 | 0.6309 | 0.7943 |
| No log | 5.6941 | 484 | 0.6781 | 0.5396 | 0.6781 | 0.8235 |
| No log | 5.7176 | 486 | 0.6102 | 0.5308 | 0.6102 | 0.7812 |
| No log | 5.7412 | 488 | 0.5064 | 0.5559 | 0.5064 | 0.7116 |
| No log | 5.7647 | 490 | 0.4756 | 0.5647 | 0.4756 | 0.6896 |
| No log | 5.7882 | 492 | 0.4816 | 0.5723 | 0.4816 | 0.6940 |
| No log | 5.8118 | 494 | 0.4950 | 0.5501 | 0.4950 | 0.7036 |
| No log | 5.8353 | 496 | 0.5363 | 0.5015 | 0.5363 | 0.7323 |
| No log | 5.8588 | 498 | 0.5413 | 0.5223 | 0.5413 | 0.7357 |
| 0.3029 | 5.8824 | 500 | 0.5207 | 0.5457 | 0.5207 | 0.7216 |
| 0.3029 | 5.9059 | 502 | 0.5421 | 0.5276 | 0.5421 | 0.7363 |
| 0.3029 | 5.9294 | 504 | 0.5428 | 0.5226 | 0.5428 | 0.7367 |
| 0.3029 | 5.9529 | 506 | 0.5165 | 0.5164 | 0.5165 | 0.7187 |
| 0.3029 | 5.9765 | 508 | 0.4762 | 0.5288 | 0.4762 | 0.6900 |
| 0.3029 | 6.0 | 510 | 0.4636 | 0.6344 | 0.4636 | 0.6809 |
| 0.3029 | 6.0235 | 512 | 0.4693 | 0.6228 | 0.4693 | 0.6851 |
| 0.3029 | 6.0471 | 514 | 0.5190 | 0.4864 | 0.5190 | 0.7204 |
| 0.3029 | 6.0706 | 516 | 0.5736 | 0.4764 | 0.5736 | 0.7573 |
| 0.3029 | 6.0941 | 518 | 0.6084 | 0.4964 | 0.6084 | 0.7800 |
| 0.3029 | 6.1176 | 520 | 0.6298 | 0.5076 | 0.6298 | 0.7936 |
| 0.3029 | 6.1412 | 522 | 0.6081 | 0.5448 | 0.6081 | 0.7798 |
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_k17_task7_organization
Base model
aubmindlab/bert-base-arabertv02