ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k10_task2_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: 0.7062
- Qwk: 0.5461
- Mse: 0.7062
- Rmse: 0.8403
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0385 | 2 | 4.1913 | -0.0292 | 4.1913 | 2.0473 |
| No log | 0.0769 | 4 | 2.4680 | 0.0776 | 2.4680 | 1.5710 |
| No log | 0.1154 | 6 | 1.1726 | 0.0773 | 1.1726 | 1.0828 |
| No log | 0.1538 | 8 | 1.3667 | -0.0462 | 1.3667 | 1.1690 |
| No log | 0.1923 | 10 | 1.7225 | -0.0687 | 1.7225 | 1.3124 |
| No log | 0.2308 | 12 | 1.1512 | -0.0773 | 1.1512 | 1.0730 |
| No log | 0.2692 | 14 | 0.8162 | 0.1668 | 0.8162 | 0.9034 |
| No log | 0.3077 | 16 | 0.9294 | 0.0283 | 0.9294 | 0.9641 |
| No log | 0.3462 | 18 | 1.5199 | 0.1040 | 1.5199 | 1.2328 |
| No log | 0.3846 | 20 | 1.3749 | 0.0855 | 1.3749 | 1.1726 |
| No log | 0.4231 | 22 | 0.9032 | 0.2488 | 0.9032 | 0.9504 |
| No log | 0.4615 | 24 | 0.7607 | 0.2013 | 0.7607 | 0.8722 |
| No log | 0.5 | 26 | 0.7794 | 0.1786 | 0.7794 | 0.8829 |
| No log | 0.5385 | 28 | 0.9015 | 0.0789 | 0.9015 | 0.9495 |
| No log | 0.5769 | 30 | 0.9775 | 0.0283 | 0.9775 | 0.9887 |
| No log | 0.6154 | 32 | 1.0155 | 0.0338 | 1.0155 | 1.0077 |
| No log | 0.6538 | 34 | 1.0135 | 0.0735 | 1.0135 | 1.0067 |
| No log | 0.6923 | 36 | 0.8395 | 0.1604 | 0.8395 | 0.9163 |
| No log | 0.7308 | 38 | 0.7352 | 0.2880 | 0.7352 | 0.8574 |
| No log | 0.7692 | 40 | 0.6210 | 0.4430 | 0.6210 | 0.7880 |
| No log | 0.8077 | 42 | 0.6607 | 0.4027 | 0.6607 | 0.8128 |
| No log | 0.8462 | 44 | 0.7122 | 0.2961 | 0.7122 | 0.8439 |
| No log | 0.8846 | 46 | 0.6799 | 0.3241 | 0.6799 | 0.8245 |
| No log | 0.9231 | 48 | 0.7625 | 0.2327 | 0.7625 | 0.8732 |
| No log | 0.9615 | 50 | 0.7218 | 0.2837 | 0.7218 | 0.8496 |
| No log | 1.0 | 52 | 0.5959 | 0.4400 | 0.5959 | 0.7720 |
| No log | 1.0385 | 54 | 0.5774 | 0.4866 | 0.5774 | 0.7598 |
| No log | 1.0769 | 56 | 0.5735 | 0.4749 | 0.5735 | 0.7573 |
| No log | 1.1154 | 58 | 0.6058 | 0.4849 | 0.6058 | 0.7783 |
| No log | 1.1538 | 60 | 0.7641 | 0.3197 | 0.7641 | 0.8741 |
| No log | 1.1923 | 62 | 0.8770 | 0.3397 | 0.8770 | 0.9365 |
| No log | 1.2308 | 64 | 1.0557 | 0.3686 | 1.0557 | 1.0275 |
| No log | 1.2692 | 66 | 0.9970 | 0.3549 | 0.9970 | 0.9985 |
| No log | 1.3077 | 68 | 1.0157 | 0.3501 | 1.0157 | 1.0078 |
| No log | 1.3462 | 70 | 1.0112 | 0.3637 | 1.0112 | 1.0056 |
| No log | 1.3846 | 72 | 0.7897 | 0.4017 | 0.7897 | 0.8886 |
| No log | 1.4231 | 74 | 0.6837 | 0.4084 | 0.6837 | 0.8269 |
| No log | 1.4615 | 76 | 0.8053 | 0.3325 | 0.8053 | 0.8974 |
| No log | 1.5 | 78 | 0.8755 | 0.3230 | 0.8755 | 0.9357 |
| No log | 1.5385 | 80 | 0.8635 | 0.3539 | 0.8635 | 0.9293 |
| No log | 1.5769 | 82 | 0.8393 | 0.3080 | 0.8393 | 0.9162 |
| No log | 1.6154 | 84 | 0.7375 | 0.3749 | 0.7375 | 0.8588 |
| No log | 1.6538 | 86 | 0.6987 | 0.3349 | 0.6987 | 0.8359 |
| No log | 1.6923 | 88 | 0.6545 | 0.3766 | 0.6545 | 0.8090 |
| No log | 1.7308 | 90 | 0.6128 | 0.3736 | 0.6128 | 0.7828 |
| No log | 1.7692 | 92 | 0.6079 | 0.4272 | 0.6079 | 0.7797 |
| No log | 1.8077 | 94 | 0.5463 | 0.5004 | 0.5463 | 0.7391 |
| No log | 1.8462 | 96 | 0.5140 | 0.5375 | 0.5140 | 0.7170 |
| No log | 1.8846 | 98 | 0.5189 | 0.5366 | 0.5189 | 0.7203 |
| No log | 1.9231 | 100 | 0.5714 | 0.5154 | 0.5714 | 0.7559 |
| No log | 1.9615 | 102 | 0.6927 | 0.4535 | 0.6927 | 0.8323 |
| No log | 2.0 | 104 | 0.6370 | 0.4755 | 0.6370 | 0.7981 |
| No log | 2.0385 | 106 | 0.6462 | 0.4689 | 0.6462 | 0.8039 |
| No log | 2.0769 | 108 | 0.5908 | 0.5018 | 0.5908 | 0.7686 |
| No log | 2.1154 | 110 | 0.6342 | 0.4882 | 0.6342 | 0.7964 |
| No log | 2.1538 | 112 | 0.7638 | 0.4490 | 0.7638 | 0.8739 |
| No log | 2.1923 | 114 | 0.9716 | 0.3959 | 0.9716 | 0.9857 |
| No log | 2.2308 | 116 | 0.9222 | 0.3957 | 0.9222 | 0.9603 |
| No log | 2.2692 | 118 | 0.7549 | 0.4713 | 0.7549 | 0.8689 |
| No log | 2.3077 | 120 | 0.6996 | 0.5378 | 0.6996 | 0.8364 |
| No log | 2.3462 | 122 | 0.6792 | 0.5109 | 0.6792 | 0.8242 |
| No log | 2.3846 | 124 | 0.6644 | 0.4717 | 0.6644 | 0.8151 |
| No log | 2.4231 | 126 | 0.6891 | 0.4592 | 0.6891 | 0.8301 |
| No log | 2.4615 | 128 | 0.6367 | 0.5385 | 0.6367 | 0.7979 |
| No log | 2.5 | 130 | 0.6508 | 0.5287 | 0.6508 | 0.8067 |
| No log | 2.5385 | 132 | 0.6651 | 0.5415 | 0.6651 | 0.8156 |
| No log | 2.5769 | 134 | 0.6431 | 0.5287 | 0.6431 | 0.8019 |
| No log | 2.6154 | 136 | 0.6637 | 0.5450 | 0.6637 | 0.8147 |
| No log | 2.6538 | 138 | 0.6519 | 0.5580 | 0.6519 | 0.8074 |
| No log | 2.6923 | 140 | 0.6773 | 0.5240 | 0.6773 | 0.8230 |
| No log | 2.7308 | 142 | 0.6999 | 0.4954 | 0.6999 | 0.8366 |
| No log | 2.7692 | 144 | 0.7140 | 0.4863 | 0.7140 | 0.8450 |
| No log | 2.8077 | 146 | 0.7222 | 0.5478 | 0.7222 | 0.8498 |
| No log | 2.8462 | 148 | 0.7226 | 0.5253 | 0.7226 | 0.8500 |
| No log | 2.8846 | 150 | 0.7308 | 0.5139 | 0.7308 | 0.8549 |
| No log | 2.9231 | 152 | 0.7681 | 0.4423 | 0.7681 | 0.8764 |
| No log | 2.9615 | 154 | 0.8164 | 0.4286 | 0.8164 | 0.9035 |
| No log | 3.0 | 156 | 0.8138 | 0.4622 | 0.8138 | 0.9021 |
| No log | 3.0385 | 158 | 0.7890 | 0.5142 | 0.7890 | 0.8883 |
| No log | 3.0769 | 160 | 0.7855 | 0.5206 | 0.7855 | 0.8863 |
| No log | 3.1154 | 162 | 0.7793 | 0.5248 | 0.7793 | 0.8828 |
| No log | 3.1538 | 164 | 0.8855 | 0.4655 | 0.8855 | 0.9410 |
| No log | 3.1923 | 166 | 0.9053 | 0.4899 | 0.9053 | 0.9514 |
| No log | 3.2308 | 168 | 0.7773 | 0.4913 | 0.7773 | 0.8817 |
| No log | 3.2692 | 170 | 0.7000 | 0.5593 | 0.7000 | 0.8366 |
| No log | 3.3077 | 172 | 0.6777 | 0.5532 | 0.6777 | 0.8232 |
| No log | 3.3462 | 174 | 0.6725 | 0.5281 | 0.6725 | 0.8200 |
| No log | 3.3846 | 176 | 0.6930 | 0.5102 | 0.6930 | 0.8325 |
| No log | 3.4231 | 178 | 0.6887 | 0.5427 | 0.6887 | 0.8299 |
| No log | 3.4615 | 180 | 0.6940 | 0.5574 | 0.6940 | 0.8330 |
| No log | 3.5 | 182 | 0.6859 | 0.5171 | 0.6859 | 0.8282 |
| No log | 3.5385 | 184 | 0.7156 | 0.4770 | 0.7156 | 0.8459 |
| No log | 3.5769 | 186 | 0.7340 | 0.4953 | 0.7340 | 0.8568 |
| No log | 3.6154 | 188 | 0.7214 | 0.4776 | 0.7214 | 0.8494 |
| No log | 3.6538 | 190 | 0.7093 | 0.5120 | 0.7093 | 0.8422 |
| No log | 3.6923 | 192 | 0.8413 | 0.4747 | 0.8413 | 0.9172 |
| No log | 3.7308 | 194 | 0.8751 | 0.4730 | 0.8751 | 0.9355 |
| No log | 3.7692 | 196 | 0.7362 | 0.5256 | 0.7362 | 0.8580 |
| No log | 3.8077 | 198 | 0.6817 | 0.4646 | 0.6817 | 0.8256 |
| No log | 3.8462 | 200 | 0.8345 | 0.4104 | 0.8345 | 0.9135 |
| No log | 3.8846 | 202 | 0.8865 | 0.3971 | 0.8865 | 0.9415 |
| No log | 3.9231 | 204 | 0.7414 | 0.4627 | 0.7414 | 0.8610 |
| No log | 3.9615 | 206 | 0.7085 | 0.5006 | 0.7085 | 0.8417 |
| No log | 4.0 | 208 | 0.7832 | 0.5125 | 0.7832 | 0.8850 |
| No log | 4.0385 | 210 | 0.7324 | 0.5114 | 0.7324 | 0.8558 |
| No log | 4.0769 | 212 | 0.6537 | 0.4773 | 0.6537 | 0.8085 |
| No log | 4.1154 | 214 | 0.6688 | 0.5291 | 0.6688 | 0.8178 |
| No log | 4.1538 | 216 | 0.7233 | 0.4370 | 0.7233 | 0.8505 |
| No log | 4.1923 | 218 | 0.6773 | 0.5309 | 0.6773 | 0.8230 |
| No log | 4.2308 | 220 | 0.6591 | 0.4944 | 0.6591 | 0.8119 |
| No log | 4.2692 | 222 | 0.7168 | 0.5003 | 0.7168 | 0.8466 |
| No log | 4.3077 | 224 | 0.6923 | 0.5030 | 0.6923 | 0.8321 |
| No log | 4.3462 | 226 | 0.6623 | 0.4855 | 0.6623 | 0.8138 |
| No log | 4.3846 | 228 | 0.7078 | 0.4544 | 0.7078 | 0.8413 |
| No log | 4.4231 | 230 | 0.6953 | 0.4847 | 0.6953 | 0.8338 |
| No log | 4.4615 | 232 | 0.6615 | 0.5274 | 0.6615 | 0.8133 |
| No log | 4.5 | 234 | 0.7035 | 0.5256 | 0.7035 | 0.8388 |
| No log | 4.5385 | 236 | 0.6963 | 0.5345 | 0.6963 | 0.8344 |
| No log | 4.5769 | 238 | 0.6632 | 0.5245 | 0.6632 | 0.8144 |
| No log | 4.6154 | 240 | 0.6508 | 0.4985 | 0.6508 | 0.8067 |
| No log | 4.6538 | 242 | 0.6821 | 0.4835 | 0.6821 | 0.8259 |
| No log | 4.6923 | 244 | 0.7347 | 0.4742 | 0.7347 | 0.8571 |
| No log | 4.7308 | 246 | 0.7147 | 0.5049 | 0.7147 | 0.8454 |
| No log | 4.7692 | 248 | 0.7030 | 0.5416 | 0.7030 | 0.8384 |
| No log | 4.8077 | 250 | 0.7281 | 0.5289 | 0.7281 | 0.8533 |
| No log | 4.8462 | 252 | 0.7125 | 0.5258 | 0.7125 | 0.8441 |
| No log | 4.8846 | 254 | 0.7093 | 0.5143 | 0.7093 | 0.8422 |
| No log | 4.9231 | 256 | 0.7110 | 0.5200 | 0.7110 | 0.8432 |
| No log | 4.9615 | 258 | 0.7115 | 0.5200 | 0.7115 | 0.8435 |
| No log | 5.0 | 260 | 0.7227 | 0.5309 | 0.7227 | 0.8501 |
| No log | 5.0385 | 262 | 0.7350 | 0.5346 | 0.7350 | 0.8573 |
| No log | 5.0769 | 264 | 0.7167 | 0.5227 | 0.7167 | 0.8466 |
| No log | 5.1154 | 266 | 0.7289 | 0.5294 | 0.7289 | 0.8537 |
| No log | 5.1538 | 268 | 0.7408 | 0.5324 | 0.7408 | 0.8607 |
| No log | 5.1923 | 270 | 0.7140 | 0.5290 | 0.7140 | 0.8450 |
| No log | 5.2308 | 272 | 0.6816 | 0.5255 | 0.6816 | 0.8256 |
| No log | 5.2692 | 274 | 0.6919 | 0.5336 | 0.6919 | 0.8318 |
| No log | 5.3077 | 276 | 0.7054 | 0.5222 | 0.7054 | 0.8399 |
| No log | 5.3462 | 278 | 0.6825 | 0.5264 | 0.6825 | 0.8261 |
| No log | 5.3846 | 280 | 0.6595 | 0.5419 | 0.6595 | 0.8121 |
| No log | 5.4231 | 282 | 0.6591 | 0.5047 | 0.6591 | 0.8119 |
| No log | 5.4615 | 284 | 0.6522 | 0.5595 | 0.6522 | 0.8076 |
| No log | 5.5 | 286 | 0.6663 | 0.5768 | 0.6663 | 0.8163 |
| No log | 5.5385 | 288 | 0.6477 | 0.5709 | 0.6477 | 0.8048 |
| No log | 5.5769 | 290 | 0.6312 | 0.5105 | 0.6312 | 0.7945 |
| No log | 5.6154 | 292 | 0.6464 | 0.5301 | 0.6464 | 0.8040 |
| No log | 5.6538 | 294 | 0.6426 | 0.5360 | 0.6426 | 0.8016 |
| No log | 5.6923 | 296 | 0.6474 | 0.5177 | 0.6474 | 0.8046 |
| No log | 5.7308 | 298 | 0.6312 | 0.5098 | 0.6312 | 0.7945 |
| No log | 5.7692 | 300 | 0.6243 | 0.5294 | 0.6243 | 0.7901 |
| No log | 5.8077 | 302 | 0.6397 | 0.5294 | 0.6397 | 0.7998 |
| No log | 5.8462 | 304 | 0.6454 | 0.5277 | 0.6454 | 0.8034 |
| No log | 5.8846 | 306 | 0.6458 | 0.5294 | 0.6458 | 0.8036 |
| No log | 5.9231 | 308 | 0.6653 | 0.5118 | 0.6653 | 0.8156 |
| No log | 5.9615 | 310 | 0.7119 | 0.4636 | 0.7119 | 0.8438 |
| No log | 6.0 | 312 | 0.7056 | 0.4680 | 0.7056 | 0.8400 |
| No log | 6.0385 | 314 | 0.6584 | 0.5326 | 0.6584 | 0.8114 |
| No log | 6.0769 | 316 | 0.6370 | 0.5265 | 0.6370 | 0.7981 |
| No log | 6.1154 | 318 | 0.6446 | 0.5189 | 0.6446 | 0.8028 |
| No log | 6.1538 | 320 | 0.6555 | 0.5341 | 0.6555 | 0.8096 |
| No log | 6.1923 | 322 | 0.6718 | 0.5174 | 0.6718 | 0.8197 |
| No log | 6.2308 | 324 | 0.6687 | 0.5386 | 0.6687 | 0.8177 |
| No log | 6.2692 | 326 | 0.6618 | 0.4895 | 0.6618 | 0.8135 |
| No log | 6.3077 | 328 | 0.6547 | 0.5174 | 0.6547 | 0.8092 |
| No log | 6.3462 | 330 | 0.6521 | 0.5174 | 0.6521 | 0.8076 |
| No log | 6.3846 | 332 | 0.6604 | 0.5174 | 0.6604 | 0.8126 |
| No log | 6.4231 | 334 | 0.6680 | 0.5461 | 0.6680 | 0.8173 |
| No log | 6.4615 | 336 | 0.6884 | 0.5309 | 0.6884 | 0.8297 |
| No log | 6.5 | 338 | 0.6993 | 0.5368 | 0.6993 | 0.8362 |
| No log | 6.5385 | 340 | 0.6853 | 0.54 | 0.6853 | 0.8278 |
| No log | 6.5769 | 342 | 0.6849 | 0.5655 | 0.6849 | 0.8276 |
| No log | 6.6154 | 344 | 0.6905 | 0.5654 | 0.6905 | 0.8310 |
| No log | 6.6538 | 346 | 0.6951 | 0.5279 | 0.6951 | 0.8337 |
| No log | 6.6923 | 348 | 0.7180 | 0.5351 | 0.7180 | 0.8473 |
| No log | 6.7308 | 350 | 0.7504 | 0.5649 | 0.7504 | 0.8663 |
| No log | 6.7692 | 352 | 0.7700 | 0.5501 | 0.7700 | 0.8775 |
| No log | 6.8077 | 354 | 0.7484 | 0.5456 | 0.7484 | 0.8651 |
| No log | 6.8462 | 356 | 0.7287 | 0.5339 | 0.7287 | 0.8536 |
| No log | 6.8846 | 358 | 0.6941 | 0.5519 | 0.6941 | 0.8331 |
| No log | 6.9231 | 360 | 0.6802 | 0.5595 | 0.6802 | 0.8248 |
| No log | 6.9615 | 362 | 0.6762 | 0.5477 | 0.6762 | 0.8223 |
| No log | 7.0 | 364 | 0.6725 | 0.5753 | 0.6725 | 0.8200 |
| No log | 7.0385 | 366 | 0.6784 | 0.5797 | 0.6784 | 0.8237 |
| No log | 7.0769 | 368 | 0.6738 | 0.5592 | 0.6738 | 0.8209 |
| No log | 7.1154 | 370 | 0.6723 | 0.5592 | 0.6723 | 0.8200 |
| No log | 7.1538 | 372 | 0.6760 | 0.5313 | 0.6760 | 0.8222 |
| No log | 7.1923 | 374 | 0.6873 | 0.5297 | 0.6873 | 0.8290 |
| No log | 7.2308 | 376 | 0.6838 | 0.5297 | 0.6838 | 0.8270 |
| No log | 7.2692 | 378 | 0.6721 | 0.5239 | 0.6721 | 0.8198 |
| No log | 7.3077 | 380 | 0.6696 | 0.5309 | 0.6696 | 0.8183 |
| No log | 7.3462 | 382 | 0.6610 | 0.5313 | 0.6610 | 0.8130 |
| No log | 7.3846 | 384 | 0.6710 | 0.5313 | 0.6710 | 0.8191 |
| No log | 7.4231 | 386 | 0.6893 | 0.5288 | 0.6893 | 0.8303 |
| No log | 7.4615 | 388 | 0.6837 | 0.5292 | 0.6837 | 0.8268 |
| No log | 7.5 | 390 | 0.6706 | 0.5403 | 0.6706 | 0.8189 |
| No log | 7.5385 | 392 | 0.6648 | 0.5639 | 0.6648 | 0.8153 |
| No log | 7.5769 | 394 | 0.6606 | 0.5461 | 0.6606 | 0.8128 |
| No log | 7.6154 | 396 | 0.6583 | 0.5520 | 0.6583 | 0.8114 |
| No log | 7.6538 | 398 | 0.6597 | 0.5755 | 0.6597 | 0.8122 |
| No log | 7.6923 | 400 | 0.6574 | 0.5639 | 0.6574 | 0.8108 |
| No log | 7.7308 | 402 | 0.6523 | 0.5713 | 0.6523 | 0.8077 |
| No log | 7.7692 | 404 | 0.6498 | 0.5713 | 0.6498 | 0.8061 |
| No log | 7.8077 | 406 | 0.6491 | 0.54 | 0.6491 | 0.8056 |
| No log | 7.8462 | 408 | 0.6547 | 0.54 | 0.6547 | 0.8091 |
| No log | 7.8846 | 410 | 0.6677 | 0.5713 | 0.6677 | 0.8171 |
| No log | 7.9231 | 412 | 0.6826 | 0.5713 | 0.6826 | 0.8262 |
| No log | 7.9615 | 414 | 0.6937 | 0.5490 | 0.6937 | 0.8329 |
| No log | 8.0 | 416 | 0.7008 | 0.5475 | 0.7008 | 0.8371 |
| No log | 8.0385 | 418 | 0.7020 | 0.5371 | 0.7020 | 0.8379 |
| No log | 8.0769 | 420 | 0.7033 | 0.5227 | 0.7033 | 0.8386 |
| No log | 8.1154 | 422 | 0.6938 | 0.54 | 0.6938 | 0.8329 |
| No log | 8.1538 | 424 | 0.6782 | 0.5295 | 0.6782 | 0.8235 |
| No log | 8.1923 | 426 | 0.6708 | 0.5277 | 0.6708 | 0.8190 |
| No log | 8.2308 | 428 | 0.6684 | 0.5157 | 0.6684 | 0.8175 |
| No log | 8.2692 | 430 | 0.6622 | 0.5157 | 0.6622 | 0.8137 |
| No log | 8.3077 | 432 | 0.6576 | 0.5277 | 0.6576 | 0.8109 |
| No log | 8.3462 | 434 | 0.6549 | 0.5397 | 0.6549 | 0.8093 |
| No log | 8.3846 | 436 | 0.6489 | 0.5397 | 0.6489 | 0.8056 |
| No log | 8.4231 | 438 | 0.6465 | 0.5397 | 0.6465 | 0.8040 |
| No log | 8.4615 | 440 | 0.6438 | 0.5200 | 0.6438 | 0.8024 |
| No log | 8.5 | 442 | 0.6449 | 0.5200 | 0.6449 | 0.8031 |
| No log | 8.5385 | 444 | 0.6451 | 0.5200 | 0.6451 | 0.8032 |
| No log | 8.5769 | 446 | 0.6452 | 0.5519 | 0.6452 | 0.8033 |
| No log | 8.6154 | 448 | 0.6473 | 0.5639 | 0.6473 | 0.8046 |
| No log | 8.6538 | 450 | 0.6598 | 0.5317 | 0.6598 | 0.8123 |
| No log | 8.6923 | 452 | 0.6690 | 0.5240 | 0.6690 | 0.8179 |
| No log | 8.7308 | 454 | 0.6672 | 0.5317 | 0.6672 | 0.8169 |
| No log | 8.7692 | 456 | 0.6670 | 0.5317 | 0.6670 | 0.8167 |
| No log | 8.8077 | 458 | 0.6621 | 0.54 | 0.6621 | 0.8137 |
| No log | 8.8462 | 460 | 0.6564 | 0.5341 | 0.6564 | 0.8102 |
| No log | 8.8846 | 462 | 0.6570 | 0.5416 | 0.6570 | 0.8105 |
| No log | 8.9231 | 464 | 0.6574 | 0.5416 | 0.6574 | 0.8108 |
| No log | 8.9615 | 466 | 0.6631 | 0.5341 | 0.6631 | 0.8143 |
| No log | 9.0 | 468 | 0.6645 | 0.5341 | 0.6645 | 0.8152 |
| No log | 9.0385 | 470 | 0.6683 | 0.5341 | 0.6683 | 0.8175 |
| No log | 9.0769 | 472 | 0.6737 | 0.5341 | 0.6737 | 0.8208 |
| No log | 9.1154 | 474 | 0.6811 | 0.5341 | 0.6811 | 0.8253 |
| No log | 9.1538 | 476 | 0.6912 | 0.5445 | 0.6912 | 0.8314 |
| No log | 9.1923 | 478 | 0.6945 | 0.5445 | 0.6945 | 0.8334 |
| No log | 9.2308 | 480 | 0.6961 | 0.5443 | 0.6961 | 0.8343 |
| No log | 9.2692 | 482 | 0.6978 | 0.5443 | 0.6978 | 0.8353 |
| No log | 9.3077 | 484 | 0.6954 | 0.5461 | 0.6954 | 0.8339 |
| No log | 9.3462 | 486 | 0.6918 | 0.5341 | 0.6918 | 0.8317 |
| No log | 9.3846 | 488 | 0.6909 | 0.5416 | 0.6909 | 0.8312 |
| No log | 9.4231 | 490 | 0.6941 | 0.5416 | 0.6941 | 0.8331 |
| No log | 9.4615 | 492 | 0.6993 | 0.5416 | 0.6993 | 0.8362 |
| No log | 9.5 | 494 | 0.7009 | 0.5416 | 0.7009 | 0.8372 |
| No log | 9.5385 | 496 | 0.7023 | 0.5461 | 0.7023 | 0.8381 |
| No log | 9.5769 | 498 | 0.7048 | 0.5461 | 0.7048 | 0.8395 |
| 0.4043 | 9.6154 | 500 | 0.7040 | 0.5461 | 0.7040 | 0.8390 |
| 0.4043 | 9.6538 | 502 | 0.7069 | 0.5461 | 0.7069 | 0.8408 |
| 0.4043 | 9.6923 | 504 | 0.7099 | 0.5461 | 0.7099 | 0.8425 |
| 0.4043 | 9.7308 | 506 | 0.7094 | 0.5387 | 0.7094 | 0.8422 |
| 0.4043 | 9.7692 | 508 | 0.7097 | 0.5387 | 0.7097 | 0.8424 |
| 0.4043 | 9.8077 | 510 | 0.7089 | 0.5387 | 0.7089 | 0.8420 |
| 0.4043 | 9.8462 | 512 | 0.7083 | 0.5387 | 0.7083 | 0.8416 |
| 0.4043 | 9.8846 | 514 | 0.7075 | 0.5387 | 0.7075 | 0.8411 |
| 0.4043 | 9.9231 | 516 | 0.7070 | 0.5387 | 0.7070 | 0.8408 |
| 0.4043 | 9.9615 | 518 | 0.7065 | 0.5461 | 0.7065 | 0.8405 |
| 0.4043 | 10.0 | 520 | 0.7062 | 0.5461 | 0.7062 | 0.8403 |
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/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k10_task2_organization
Base model
aubmindlab/bert-base-arabertv02