ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k8_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: 0.7439
- Qwk: 0.4785
- Mse: 0.7439
- Rmse: 0.8625
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 | 4.0176 | -0.0169 | 4.0176 | 2.0044 |
| No log | 0.0769 | 4 | 1.9728 | 0.0727 | 1.9728 | 1.4046 |
| No log | 0.1154 | 6 | 1.2187 | 0.0696 | 1.2187 | 1.1039 |
| No log | 0.1538 | 8 | 1.6201 | 0.0487 | 1.6201 | 1.2728 |
| No log | 0.1923 | 10 | 1.1827 | 0.0089 | 1.1827 | 1.0875 |
| No log | 0.2308 | 12 | 0.8342 | -0.0205 | 0.8342 | 0.9133 |
| No log | 0.2692 | 14 | 0.7428 | 0.0417 | 0.7428 | 0.8618 |
| No log | 0.3077 | 16 | 0.7751 | 0.0143 | 0.7751 | 0.8804 |
| No log | 0.3462 | 18 | 1.0092 | 0.0254 | 1.0092 | 1.0046 |
| No log | 0.3846 | 20 | 1.2481 | -0.0067 | 1.2481 | 1.1172 |
| No log | 0.4231 | 22 | 1.3872 | -0.0010 | 1.3872 | 1.1778 |
| No log | 0.4615 | 24 | 1.1300 | 0.1101 | 1.1300 | 1.0630 |
| No log | 0.5 | 26 | 0.7467 | 0.2443 | 0.7467 | 0.8641 |
| No log | 0.5385 | 28 | 0.7163 | 0.2445 | 0.7163 | 0.8463 |
| No log | 0.5769 | 30 | 0.8286 | 0.2646 | 0.8286 | 0.9103 |
| No log | 0.6154 | 32 | 0.9760 | 0.1702 | 0.9760 | 0.9879 |
| No log | 0.6538 | 34 | 1.2220 | 0.1131 | 1.2220 | 1.1055 |
| No log | 0.6923 | 36 | 1.2550 | 0.1620 | 1.2550 | 1.1203 |
| No log | 0.7308 | 38 | 0.9984 | 0.2055 | 0.9984 | 0.9992 |
| No log | 0.7692 | 40 | 0.9815 | 0.1635 | 0.9815 | 0.9907 |
| No log | 0.8077 | 42 | 1.1830 | 0.2235 | 1.1830 | 1.0876 |
| No log | 0.8462 | 44 | 1.3151 | 0.2398 | 1.3151 | 1.1468 |
| No log | 0.8846 | 46 | 1.6001 | 0.1647 | 1.6001 | 1.2650 |
| No log | 0.9231 | 48 | 1.6718 | 0.1573 | 1.6718 | 1.2930 |
| No log | 0.9615 | 50 | 1.5582 | 0.1438 | 1.5582 | 1.2483 |
| No log | 1.0 | 52 | 1.2423 | 0.1125 | 1.2423 | 1.1146 |
| No log | 1.0385 | 54 | 0.8639 | 0.2560 | 0.8639 | 0.9295 |
| No log | 1.0769 | 56 | 0.7861 | 0.3285 | 0.7861 | 0.8866 |
| No log | 1.1154 | 58 | 0.8470 | 0.2165 | 0.8470 | 0.9203 |
| No log | 1.1538 | 60 | 0.9363 | 0.2129 | 0.9363 | 0.9676 |
| No log | 1.1923 | 62 | 1.0343 | 0.1823 | 1.0343 | 1.0170 |
| No log | 1.2308 | 64 | 1.2409 | 0.1350 | 1.2409 | 1.1140 |
| No log | 1.2692 | 66 | 1.2843 | 0.1386 | 1.2843 | 1.1333 |
| No log | 1.3077 | 68 | 1.4141 | 0.1471 | 1.4141 | 1.1892 |
| No log | 1.3462 | 70 | 1.1420 | 0.1580 | 1.1420 | 1.0687 |
| No log | 1.3846 | 72 | 0.9561 | 0.2676 | 0.9561 | 0.9778 |
| No log | 1.4231 | 74 | 0.8571 | 0.2837 | 0.8571 | 0.9258 |
| No log | 1.4615 | 76 | 0.7493 | 0.3769 | 0.7493 | 0.8656 |
| No log | 1.5 | 78 | 0.6639 | 0.3997 | 0.6639 | 0.8148 |
| No log | 1.5385 | 80 | 0.7175 | 0.3575 | 0.7175 | 0.8470 |
| No log | 1.5769 | 82 | 0.7290 | 0.2933 | 0.7290 | 0.8538 |
| No log | 1.6154 | 84 | 0.8278 | 0.2063 | 0.8278 | 0.9098 |
| No log | 1.6538 | 86 | 0.9172 | 0.2295 | 0.9172 | 0.9577 |
| No log | 1.6923 | 88 | 1.1240 | 0.1949 | 1.1240 | 1.0602 |
| No log | 1.7308 | 90 | 1.1519 | 0.1708 | 1.1519 | 1.0733 |
| No log | 1.7692 | 92 | 1.0165 | 0.2200 | 1.0165 | 1.0082 |
| No log | 1.8077 | 94 | 0.8209 | 0.2874 | 0.8209 | 0.9060 |
| No log | 1.8462 | 96 | 0.6899 | 0.4069 | 0.6899 | 0.8306 |
| No log | 1.8846 | 98 | 0.6670 | 0.3998 | 0.6670 | 0.8167 |
| No log | 1.9231 | 100 | 0.6467 | 0.4041 | 0.6467 | 0.8041 |
| No log | 1.9615 | 102 | 0.6439 | 0.3751 | 0.6439 | 0.8024 |
| No log | 2.0 | 104 | 0.5712 | 0.4318 | 0.5712 | 0.7558 |
| No log | 2.0385 | 106 | 0.5325 | 0.4751 | 0.5325 | 0.7298 |
| No log | 2.0769 | 108 | 0.5112 | 0.5081 | 0.5112 | 0.7150 |
| No log | 2.1154 | 110 | 0.5132 | 0.4824 | 0.5132 | 0.7164 |
| No log | 2.1538 | 112 | 0.5479 | 0.4490 | 0.5479 | 0.7402 |
| No log | 2.1923 | 114 | 0.7271 | 0.3670 | 0.7271 | 0.8527 |
| No log | 2.2308 | 116 | 1.0129 | 0.2808 | 1.0129 | 1.0064 |
| No log | 2.2692 | 118 | 1.1586 | 0.2320 | 1.1586 | 1.0764 |
| No log | 2.3077 | 120 | 0.9531 | 0.2858 | 0.9531 | 0.9763 |
| No log | 2.3462 | 122 | 0.8558 | 0.3530 | 0.8558 | 0.9251 |
| No log | 2.3846 | 124 | 0.8570 | 0.3772 | 0.8570 | 0.9257 |
| No log | 2.4231 | 126 | 0.8178 | 0.3832 | 0.8178 | 0.9043 |
| No log | 2.4615 | 128 | 0.7951 | 0.4108 | 0.7951 | 0.8917 |
| No log | 2.5 | 130 | 0.8736 | 0.4021 | 0.8736 | 0.9347 |
| No log | 2.5385 | 132 | 1.0213 | 0.3656 | 1.0213 | 1.0106 |
| No log | 2.5769 | 134 | 1.0397 | 0.3364 | 1.0397 | 1.0197 |
| No log | 2.6154 | 136 | 0.8710 | 0.3904 | 0.8710 | 0.9333 |
| No log | 2.6538 | 138 | 0.7027 | 0.4262 | 0.7027 | 0.8383 |
| No log | 2.6923 | 140 | 0.7143 | 0.3591 | 0.7143 | 0.8451 |
| No log | 2.7308 | 142 | 0.8089 | 0.3131 | 0.8089 | 0.8994 |
| No log | 2.7692 | 144 | 0.8101 | 0.3314 | 0.8101 | 0.9001 |
| No log | 2.8077 | 146 | 0.7410 | 0.3593 | 0.7410 | 0.8608 |
| No log | 2.8462 | 148 | 0.6896 | 0.4509 | 0.6896 | 0.8304 |
| No log | 2.8846 | 150 | 0.7155 | 0.4769 | 0.7155 | 0.8459 |
| No log | 2.9231 | 152 | 0.7069 | 0.4439 | 0.7069 | 0.8408 |
| No log | 2.9615 | 154 | 0.6939 | 0.4257 | 0.6939 | 0.8330 |
| No log | 3.0 | 156 | 0.7350 | 0.3975 | 0.7350 | 0.8573 |
| No log | 3.0385 | 158 | 0.7294 | 0.4186 | 0.7294 | 0.8541 |
| No log | 3.0769 | 160 | 0.6908 | 0.4195 | 0.6908 | 0.8311 |
| No log | 3.1154 | 162 | 0.7351 | 0.4475 | 0.7351 | 0.8574 |
| No log | 3.1538 | 164 | 0.8311 | 0.4371 | 0.8311 | 0.9116 |
| No log | 3.1923 | 166 | 0.8099 | 0.4514 | 0.8099 | 0.8999 |
| No log | 3.2308 | 168 | 0.7295 | 0.4689 | 0.7295 | 0.8541 |
| No log | 3.2692 | 170 | 0.7208 | 0.4667 | 0.7208 | 0.8490 |
| No log | 3.3077 | 172 | 0.7615 | 0.4427 | 0.7615 | 0.8726 |
| No log | 3.3462 | 174 | 0.7832 | 0.4540 | 0.7832 | 0.8850 |
| No log | 3.3846 | 176 | 0.7466 | 0.4432 | 0.7466 | 0.8641 |
| No log | 3.4231 | 178 | 0.7160 | 0.4913 | 0.7160 | 0.8462 |
| No log | 3.4615 | 180 | 0.6971 | 0.4505 | 0.6971 | 0.8349 |
| No log | 3.5 | 182 | 0.7018 | 0.4285 | 0.7018 | 0.8377 |
| No log | 3.5385 | 184 | 0.7259 | 0.4330 | 0.7259 | 0.8520 |
| No log | 3.5769 | 186 | 0.7757 | 0.4457 | 0.7757 | 0.8808 |
| No log | 3.6154 | 188 | 0.8193 | 0.4268 | 0.8193 | 0.9052 |
| No log | 3.6538 | 190 | 0.7891 | 0.4049 | 0.7891 | 0.8883 |
| No log | 3.6923 | 192 | 0.7706 | 0.4576 | 0.7706 | 0.8778 |
| No log | 3.7308 | 194 | 0.7707 | 0.4464 | 0.7707 | 0.8779 |
| No log | 3.7692 | 196 | 0.7898 | 0.4719 | 0.7898 | 0.8887 |
| No log | 3.8077 | 198 | 0.7750 | 0.4678 | 0.7750 | 0.8803 |
| No log | 3.8462 | 200 | 0.7016 | 0.4534 | 0.7016 | 0.8376 |
| No log | 3.8846 | 202 | 0.6623 | 0.4617 | 0.6623 | 0.8138 |
| No log | 3.9231 | 204 | 0.6606 | 0.4493 | 0.6606 | 0.8128 |
| No log | 3.9615 | 206 | 0.6897 | 0.4470 | 0.6897 | 0.8305 |
| No log | 4.0 | 208 | 0.7023 | 0.4493 | 0.7023 | 0.8381 |
| No log | 4.0385 | 210 | 0.6917 | 0.4242 | 0.6917 | 0.8317 |
| No log | 4.0769 | 212 | 0.6878 | 0.4087 | 0.6878 | 0.8293 |
| No log | 4.1154 | 214 | 0.7004 | 0.4242 | 0.7004 | 0.8369 |
| No log | 4.1538 | 216 | 0.7454 | 0.4613 | 0.7454 | 0.8634 |
| No log | 4.1923 | 218 | 0.7740 | 0.4629 | 0.7740 | 0.8798 |
| No log | 4.2308 | 220 | 0.7934 | 0.4835 | 0.7934 | 0.8907 |
| No log | 4.2692 | 222 | 0.7662 | 0.4389 | 0.7662 | 0.8753 |
| No log | 4.3077 | 224 | 0.7296 | 0.4514 | 0.7296 | 0.8542 |
| No log | 4.3462 | 226 | 0.7234 | 0.5154 | 0.7234 | 0.8505 |
| No log | 4.3846 | 228 | 0.7381 | 0.4643 | 0.7381 | 0.8591 |
| No log | 4.4231 | 230 | 0.7337 | 0.4863 | 0.7337 | 0.8565 |
| No log | 4.4615 | 232 | 0.6908 | 0.5173 | 0.6908 | 0.8312 |
| No log | 4.5 | 234 | 0.6984 | 0.4606 | 0.6984 | 0.8357 |
| No log | 4.5385 | 236 | 0.6989 | 0.4670 | 0.6989 | 0.8360 |
| No log | 4.5769 | 238 | 0.7047 | 0.4976 | 0.7047 | 0.8395 |
| No log | 4.6154 | 240 | 0.7809 | 0.5195 | 0.7809 | 0.8837 |
| No log | 4.6538 | 242 | 0.8093 | 0.4927 | 0.8093 | 0.8996 |
| No log | 4.6923 | 244 | 0.7579 | 0.4684 | 0.7579 | 0.8706 |
| No log | 4.7308 | 246 | 0.7337 | 0.4458 | 0.7337 | 0.8566 |
| No log | 4.7692 | 248 | 0.7430 | 0.4495 | 0.7430 | 0.8620 |
| No log | 4.8077 | 250 | 0.7680 | 0.5062 | 0.7680 | 0.8764 |
| No log | 4.8462 | 252 | 0.7852 | 0.5127 | 0.7852 | 0.8861 |
| No log | 4.8846 | 254 | 0.7702 | 0.4864 | 0.7702 | 0.8776 |
| No log | 4.9231 | 256 | 0.7029 | 0.4909 | 0.7029 | 0.8384 |
| No log | 4.9615 | 258 | 0.6673 | 0.4605 | 0.6673 | 0.8169 |
| No log | 5.0 | 260 | 0.6693 | 0.4966 | 0.6693 | 0.8181 |
| No log | 5.0385 | 262 | 0.6825 | 0.5069 | 0.6825 | 0.8262 |
| No log | 5.0769 | 264 | 0.6825 | 0.5148 | 0.6825 | 0.8262 |
| No log | 5.1154 | 266 | 0.6698 | 0.4776 | 0.6698 | 0.8184 |
| No log | 5.1538 | 268 | 0.6764 | 0.4741 | 0.6764 | 0.8225 |
| No log | 5.1923 | 270 | 0.6943 | 0.5208 | 0.6943 | 0.8332 |
| No log | 5.2308 | 272 | 0.7070 | 0.4955 | 0.7070 | 0.8408 |
| No log | 5.2692 | 274 | 0.7043 | 0.5214 | 0.7043 | 0.8392 |
| No log | 5.3077 | 276 | 0.7052 | 0.5048 | 0.7052 | 0.8397 |
| No log | 5.3462 | 278 | 0.7116 | 0.5174 | 0.7116 | 0.8436 |
| No log | 5.3846 | 280 | 0.7236 | 0.5098 | 0.7236 | 0.8507 |
| No log | 5.4231 | 282 | 0.7258 | 0.5038 | 0.7258 | 0.8520 |
| No log | 5.4615 | 284 | 0.7260 | 0.4584 | 0.7260 | 0.8520 |
| No log | 5.5 | 286 | 0.7373 | 0.4524 | 0.7373 | 0.8586 |
| No log | 5.5385 | 288 | 0.7146 | 0.4700 | 0.7146 | 0.8454 |
| No log | 5.5769 | 290 | 0.6982 | 0.4537 | 0.6982 | 0.8356 |
| No log | 5.6154 | 292 | 0.7156 | 0.4692 | 0.7156 | 0.8459 |
| No log | 5.6538 | 294 | 0.7412 | 0.5169 | 0.7412 | 0.8609 |
| No log | 5.6923 | 296 | 0.7318 | 0.4957 | 0.7318 | 0.8554 |
| No log | 5.7308 | 298 | 0.6996 | 0.4595 | 0.6996 | 0.8364 |
| No log | 5.7692 | 300 | 0.6899 | 0.4776 | 0.6899 | 0.8306 |
| No log | 5.8077 | 302 | 0.7378 | 0.4213 | 0.7378 | 0.8589 |
| No log | 5.8462 | 304 | 0.7738 | 0.4153 | 0.7738 | 0.8797 |
| No log | 5.8846 | 306 | 0.7493 | 0.4135 | 0.7493 | 0.8656 |
| No log | 5.9231 | 308 | 0.7072 | 0.4554 | 0.7072 | 0.8409 |
| No log | 5.9615 | 310 | 0.6803 | 0.4984 | 0.6803 | 0.8248 |
| No log | 6.0 | 312 | 0.6915 | 0.4731 | 0.6915 | 0.8316 |
| No log | 6.0385 | 314 | 0.6922 | 0.4792 | 0.6922 | 0.8320 |
| No log | 6.0769 | 316 | 0.6880 | 0.5012 | 0.6880 | 0.8294 |
| No log | 6.1154 | 318 | 0.6949 | 0.5003 | 0.6949 | 0.8336 |
| No log | 6.1538 | 320 | 0.7054 | 0.4716 | 0.7054 | 0.8399 |
| No log | 6.1923 | 322 | 0.7143 | 0.4670 | 0.7143 | 0.8452 |
| No log | 6.2308 | 324 | 0.7159 | 0.4417 | 0.7159 | 0.8461 |
| No log | 6.2692 | 326 | 0.7248 | 0.4659 | 0.7248 | 0.8513 |
| No log | 6.3077 | 328 | 0.7214 | 0.4687 | 0.7214 | 0.8494 |
| No log | 6.3462 | 330 | 0.7056 | 0.4659 | 0.7056 | 0.8400 |
| No log | 6.3846 | 332 | 0.6894 | 0.4747 | 0.6894 | 0.8303 |
| No log | 6.4231 | 334 | 0.6844 | 0.4747 | 0.6844 | 0.8273 |
| No log | 6.4615 | 336 | 0.6898 | 0.4507 | 0.6898 | 0.8305 |
| No log | 6.5 | 338 | 0.6903 | 0.4847 | 0.6903 | 0.8309 |
| No log | 6.5385 | 340 | 0.6905 | 0.4596 | 0.6905 | 0.8310 |
| No log | 6.5769 | 342 | 0.7047 | 0.4497 | 0.7047 | 0.8395 |
| No log | 6.6154 | 344 | 0.7119 | 0.4497 | 0.7119 | 0.8438 |
| No log | 6.6538 | 346 | 0.7168 | 0.4497 | 0.7168 | 0.8466 |
| No log | 6.6923 | 348 | 0.7184 | 0.4632 | 0.7184 | 0.8476 |
| No log | 6.7308 | 350 | 0.7114 | 0.4553 | 0.7114 | 0.8434 |
| No log | 6.7692 | 352 | 0.6991 | 0.4641 | 0.6991 | 0.8361 |
| No log | 6.8077 | 354 | 0.6883 | 0.4814 | 0.6883 | 0.8296 |
| No log | 6.8462 | 356 | 0.6845 | 0.5012 | 0.6845 | 0.8274 |
| No log | 6.8846 | 358 | 0.6808 | 0.5108 | 0.6808 | 0.8251 |
| No log | 6.9231 | 360 | 0.6840 | 0.5108 | 0.6840 | 0.8271 |
| No log | 6.9615 | 362 | 0.6967 | 0.4822 | 0.6967 | 0.8347 |
| No log | 7.0 | 364 | 0.7030 | 0.4745 | 0.7030 | 0.8385 |
| No log | 7.0385 | 366 | 0.7058 | 0.4745 | 0.7058 | 0.8401 |
| No log | 7.0769 | 368 | 0.6967 | 0.4782 | 0.6967 | 0.8347 |
| No log | 7.1154 | 370 | 0.6976 | 0.4877 | 0.6976 | 0.8352 |
| No log | 7.1538 | 372 | 0.7001 | 0.4705 | 0.7001 | 0.8367 |
| No log | 7.1923 | 374 | 0.7031 | 0.4763 | 0.7031 | 0.8385 |
| No log | 7.2308 | 376 | 0.7057 | 0.4852 | 0.7057 | 0.8400 |
| No log | 7.2692 | 378 | 0.7145 | 0.4895 | 0.7145 | 0.8453 |
| No log | 7.3077 | 380 | 0.7302 | 0.5058 | 0.7302 | 0.8545 |
| No log | 7.3462 | 382 | 0.7354 | 0.4785 | 0.7354 | 0.8576 |
| No log | 7.3846 | 384 | 0.7286 | 0.4870 | 0.7286 | 0.8536 |
| No log | 7.4231 | 386 | 0.7307 | 0.4785 | 0.7307 | 0.8548 |
| No log | 7.4615 | 388 | 0.7198 | 0.4739 | 0.7198 | 0.8484 |
| No log | 7.5 | 390 | 0.7153 | 0.4662 | 0.7153 | 0.8458 |
| No log | 7.5385 | 392 | 0.7110 | 0.4662 | 0.7110 | 0.8432 |
| No log | 7.5769 | 394 | 0.7035 | 0.4739 | 0.7035 | 0.8387 |
| No log | 7.6154 | 396 | 0.6923 | 0.4646 | 0.6923 | 0.8321 |
| No log | 7.6538 | 398 | 0.6883 | 0.4825 | 0.6883 | 0.8296 |
| No log | 7.6923 | 400 | 0.6853 | 0.4970 | 0.6853 | 0.8278 |
| No log | 7.7308 | 402 | 0.6845 | 0.5275 | 0.6845 | 0.8273 |
| No log | 7.7692 | 404 | 0.6788 | 0.5118 | 0.6788 | 0.8239 |
| No log | 7.8077 | 406 | 0.6768 | 0.5064 | 0.6768 | 0.8227 |
| No log | 7.8462 | 408 | 0.6796 | 0.4985 | 0.6796 | 0.8244 |
| No log | 7.8846 | 410 | 0.6958 | 0.4925 | 0.6958 | 0.8342 |
| No log | 7.9231 | 412 | 0.7170 | 0.5023 | 0.7170 | 0.8467 |
| No log | 7.9615 | 414 | 0.7185 | 0.5023 | 0.7185 | 0.8476 |
| No log | 8.0 | 416 | 0.7063 | 0.4785 | 0.7063 | 0.8404 |
| No log | 8.0385 | 418 | 0.6909 | 0.5064 | 0.6909 | 0.8312 |
| No log | 8.0769 | 420 | 0.6885 | 0.5021 | 0.6885 | 0.8298 |
| No log | 8.1154 | 422 | 0.6885 | 0.5021 | 0.6885 | 0.8298 |
| No log | 8.1538 | 424 | 0.6906 | 0.5021 | 0.6906 | 0.8310 |
| No log | 8.1923 | 426 | 0.6975 | 0.5147 | 0.6975 | 0.8352 |
| No log | 8.2308 | 428 | 0.7051 | 0.4845 | 0.7051 | 0.8397 |
| No log | 8.2692 | 430 | 0.7120 | 0.4803 | 0.7120 | 0.8438 |
| No log | 8.3077 | 432 | 0.7149 | 0.4791 | 0.7149 | 0.8455 |
| No log | 8.3462 | 434 | 0.7115 | 0.4707 | 0.7115 | 0.8435 |
| No log | 8.3846 | 436 | 0.7102 | 0.4707 | 0.7102 | 0.8427 |
| No log | 8.4231 | 438 | 0.7091 | 0.4782 | 0.7091 | 0.8421 |
| No log | 8.4615 | 440 | 0.7093 | 0.4725 | 0.7093 | 0.8422 |
| No log | 8.5 | 442 | 0.7092 | 0.5088 | 0.7092 | 0.8421 |
| No log | 8.5385 | 444 | 0.7093 | 0.5088 | 0.7093 | 0.8422 |
| No log | 8.5769 | 446 | 0.7114 | 0.5070 | 0.7114 | 0.8434 |
| No log | 8.6154 | 448 | 0.7164 | 0.4752 | 0.7164 | 0.8464 |
| No log | 8.6538 | 450 | 0.7224 | 0.4585 | 0.7224 | 0.8499 |
| No log | 8.6923 | 452 | 0.7257 | 0.4710 | 0.7257 | 0.8519 |
| No log | 8.7308 | 454 | 0.7276 | 0.4710 | 0.7276 | 0.8530 |
| No log | 8.7692 | 456 | 0.7289 | 0.4710 | 0.7289 | 0.8538 |
| No log | 8.8077 | 458 | 0.7239 | 0.4581 | 0.7239 | 0.8508 |
| No log | 8.8462 | 460 | 0.7259 | 0.4581 | 0.7259 | 0.8520 |
| No log | 8.8846 | 462 | 0.7268 | 0.4710 | 0.7268 | 0.8525 |
| No log | 8.9231 | 464 | 0.7216 | 0.4581 | 0.7216 | 0.8495 |
| No log | 8.9615 | 466 | 0.7225 | 0.4562 | 0.7225 | 0.8500 |
| No log | 9.0 | 468 | 0.7275 | 0.4562 | 0.7275 | 0.8529 |
| No log | 9.0385 | 470 | 0.7385 | 0.4686 | 0.7385 | 0.8593 |
| No log | 9.0769 | 472 | 0.7487 | 0.4593 | 0.7487 | 0.8653 |
| No log | 9.1154 | 474 | 0.7523 | 0.4650 | 0.7523 | 0.8674 |
| No log | 9.1538 | 476 | 0.7505 | 0.4593 | 0.7505 | 0.8663 |
| No log | 9.1923 | 478 | 0.7505 | 0.4593 | 0.7505 | 0.8663 |
| No log | 9.2308 | 480 | 0.7467 | 0.4874 | 0.7467 | 0.8641 |
| No log | 9.2692 | 482 | 0.7482 | 0.4686 | 0.7482 | 0.8650 |
| No log | 9.3077 | 484 | 0.7481 | 0.4686 | 0.7481 | 0.8649 |
| No log | 9.3462 | 486 | 0.7445 | 0.4691 | 0.7445 | 0.8628 |
| No log | 9.3846 | 488 | 0.7441 | 0.4767 | 0.7441 | 0.8626 |
| No log | 9.4231 | 490 | 0.7473 | 0.4767 | 0.7473 | 0.8644 |
| No log | 9.4615 | 492 | 0.7529 | 0.4767 | 0.7529 | 0.8677 |
| No log | 9.5 | 494 | 0.7607 | 0.4552 | 0.7607 | 0.8722 |
| No log | 9.5385 | 496 | 0.7655 | 0.4552 | 0.7655 | 0.8749 |
| No log | 9.5769 | 498 | 0.7679 | 0.4552 | 0.7679 | 0.8763 |
| 0.4351 | 9.6154 | 500 | 0.7669 | 0.4552 | 0.7669 | 0.8757 |
| 0.4351 | 9.6538 | 502 | 0.7636 | 0.4552 | 0.7636 | 0.8738 |
| 0.4351 | 9.6923 | 504 | 0.7597 | 0.4630 | 0.7597 | 0.8716 |
| 0.4351 | 9.7308 | 506 | 0.7562 | 0.4630 | 0.7562 | 0.8696 |
| 0.4351 | 9.7692 | 508 | 0.7526 | 0.4710 | 0.7526 | 0.8675 |
| 0.4351 | 9.8077 | 510 | 0.7494 | 0.4785 | 0.7494 | 0.8657 |
| 0.4351 | 9.8462 | 512 | 0.7469 | 0.4785 | 0.7469 | 0.8642 |
| 0.4351 | 9.8846 | 514 | 0.7456 | 0.4785 | 0.7456 | 0.8635 |
| 0.4351 | 9.9231 | 516 | 0.7446 | 0.4785 | 0.7446 | 0.8629 |
| 0.4351 | 9.9615 | 518 | 0.7441 | 0.4785 | 0.7441 | 0.8626 |
| 0.4351 | 10.0 | 520 | 0.7439 | 0.4785 | 0.7439 | 0.8625 |
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/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k8_task2_organization
Base model
aubmindlab/bert-base-arabertv02