ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k2_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: 0.6562
- Qwk: 0.4943
- Mse: 0.6562
- Rmse: 0.8101
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 | 0.1538 | 2 | 4.1669 | 0.0002 | 4.1669 | 2.0413 |
| No log | 0.3077 | 4 | 2.6283 | 0.0750 | 2.6283 | 1.6212 |
| No log | 0.4615 | 6 | 1.2270 | 0.0361 | 1.2270 | 1.1077 |
| No log | 0.6154 | 8 | 1.0530 | -0.0572 | 1.0530 | 1.0262 |
| No log | 0.7692 | 10 | 0.9278 | 0.0441 | 0.9278 | 0.9632 |
| No log | 0.9231 | 12 | 0.9422 | 0.0212 | 0.9422 | 0.9707 |
| No log | 1.0769 | 14 | 0.9425 | 0.0450 | 0.9425 | 0.9708 |
| No log | 1.2308 | 16 | 0.8317 | 0.0857 | 0.8317 | 0.9120 |
| No log | 1.3846 | 18 | 0.7918 | 0.1890 | 0.7918 | 0.8898 |
| No log | 1.5385 | 20 | 0.8778 | 0.2034 | 0.8778 | 0.9369 |
| No log | 1.6923 | 22 | 1.1355 | 0.0153 | 1.1355 | 1.0656 |
| No log | 1.8462 | 24 | 1.2463 | 0.0 | 1.2463 | 1.1164 |
| No log | 2.0 | 26 | 1.2799 | 0.0055 | 1.2799 | 1.1313 |
| No log | 2.1538 | 28 | 1.3177 | 0.0154 | 1.3177 | 1.1479 |
| No log | 2.3077 | 30 | 0.8882 | 0.1825 | 0.8882 | 0.9424 |
| No log | 2.4615 | 32 | 0.8213 | 0.1359 | 0.8213 | 0.9062 |
| No log | 2.6154 | 34 | 0.8670 | 0.0509 | 0.8670 | 0.9311 |
| No log | 2.7692 | 36 | 0.8092 | 0.0726 | 0.8092 | 0.8996 |
| No log | 2.9231 | 38 | 0.8416 | 0.1316 | 0.8416 | 0.9174 |
| No log | 3.0769 | 40 | 0.8272 | 0.2245 | 0.8272 | 0.9095 |
| No log | 3.2308 | 42 | 0.8040 | 0.2772 | 0.8040 | 0.8967 |
| No log | 3.3846 | 44 | 0.8088 | 0.3254 | 0.8088 | 0.8993 |
| No log | 3.5385 | 46 | 0.8222 | 0.2135 | 0.8222 | 0.9068 |
| No log | 3.6923 | 48 | 0.8390 | 0.2578 | 0.8390 | 0.9160 |
| No log | 3.8462 | 50 | 0.9695 | 0.2250 | 0.9695 | 0.9846 |
| No log | 4.0 | 52 | 0.9658 | 0.2592 | 0.9658 | 0.9827 |
| No log | 4.1538 | 54 | 0.9458 | 0.2669 | 0.9458 | 0.9725 |
| No log | 4.3077 | 56 | 0.9077 | 0.2731 | 0.9077 | 0.9527 |
| No log | 4.4615 | 58 | 0.8745 | 0.2789 | 0.8745 | 0.9351 |
| No log | 4.6154 | 60 | 0.7814 | 0.2270 | 0.7814 | 0.8840 |
| No log | 4.7692 | 62 | 0.8188 | 0.2859 | 0.8188 | 0.9049 |
| No log | 4.9231 | 64 | 0.8777 | 0.3186 | 0.8777 | 0.9369 |
| No log | 5.0769 | 66 | 0.8285 | 0.4109 | 0.8285 | 0.9102 |
| No log | 5.2308 | 68 | 0.8579 | 0.3809 | 0.8579 | 0.9262 |
| No log | 5.3846 | 70 | 0.8911 | 0.4193 | 0.8911 | 0.9440 |
| No log | 5.5385 | 72 | 0.9348 | 0.3718 | 0.9348 | 0.9668 |
| No log | 5.6923 | 74 | 0.9385 | 0.3795 | 0.9385 | 0.9688 |
| No log | 5.8462 | 76 | 0.9785 | 0.4228 | 0.9785 | 0.9892 |
| No log | 6.0 | 78 | 0.8701 | 0.4180 | 0.8701 | 0.9328 |
| No log | 6.1538 | 80 | 0.8074 | 0.4751 | 0.8074 | 0.8986 |
| No log | 6.3077 | 82 | 0.7684 | 0.4760 | 0.7684 | 0.8766 |
| No log | 6.4615 | 84 | 0.7048 | 0.4419 | 0.7048 | 0.8395 |
| No log | 6.6154 | 86 | 0.8009 | 0.3545 | 0.8009 | 0.8950 |
| No log | 6.7692 | 88 | 0.8983 | 0.3419 | 0.8983 | 0.9478 |
| No log | 6.9231 | 90 | 0.8763 | 0.3310 | 0.8763 | 0.9361 |
| No log | 7.0769 | 92 | 0.8192 | 0.4725 | 0.8192 | 0.9051 |
| No log | 7.2308 | 94 | 0.7926 | 0.5628 | 0.7926 | 0.8903 |
| No log | 7.3846 | 96 | 0.7780 | 0.4560 | 0.7780 | 0.8820 |
| No log | 7.5385 | 98 | 0.7430 | 0.5277 | 0.7430 | 0.8620 |
| No log | 7.6923 | 100 | 0.7906 | 0.5776 | 0.7906 | 0.8892 |
| No log | 7.8462 | 102 | 0.8129 | 0.5415 | 0.8129 | 0.9016 |
| No log | 8.0 | 104 | 0.8053 | 0.5361 | 0.8053 | 0.8974 |
| No log | 8.1538 | 106 | 0.8694 | 0.4615 | 0.8694 | 0.9324 |
| No log | 8.3077 | 108 | 0.9768 | 0.4839 | 0.9768 | 0.9883 |
| No log | 8.4615 | 110 | 0.9635 | 0.4858 | 0.9635 | 0.9816 |
| No log | 8.6154 | 112 | 0.9564 | 0.4626 | 0.9564 | 0.9780 |
| No log | 8.7692 | 114 | 0.7705 | 0.5008 | 0.7705 | 0.8778 |
| No log | 8.9231 | 116 | 0.7113 | 0.5089 | 0.7113 | 0.8434 |
| No log | 9.0769 | 118 | 0.7222 | 0.5091 | 0.7222 | 0.8498 |
| No log | 9.2308 | 120 | 0.6998 | 0.5436 | 0.6998 | 0.8365 |
| No log | 9.3846 | 122 | 0.7388 | 0.5008 | 0.7388 | 0.8595 |
| No log | 9.5385 | 124 | 0.7094 | 0.5353 | 0.7094 | 0.8423 |
| No log | 9.6923 | 126 | 0.6988 | 0.5578 | 0.6988 | 0.8360 |
| No log | 9.8462 | 128 | 0.7546 | 0.5005 | 0.7546 | 0.8687 |
| No log | 10.0 | 130 | 0.7242 | 0.4923 | 0.7242 | 0.8510 |
| No log | 10.1538 | 132 | 0.8054 | 0.4639 | 0.8054 | 0.8974 |
| No log | 10.3077 | 134 | 0.8722 | 0.4312 | 0.8722 | 0.9339 |
| No log | 10.4615 | 136 | 0.8768 | 0.4774 | 0.8768 | 0.9364 |
| No log | 10.6154 | 138 | 0.7710 | 0.4915 | 0.7710 | 0.8781 |
| No log | 10.7692 | 140 | 0.7777 | 0.4718 | 0.7777 | 0.8819 |
| No log | 10.9231 | 142 | 0.7484 | 0.4785 | 0.7484 | 0.8651 |
| No log | 11.0769 | 144 | 0.7485 | 0.4936 | 0.7485 | 0.8651 |
| No log | 11.2308 | 146 | 0.8329 | 0.4380 | 0.8329 | 0.9126 |
| No log | 11.3846 | 148 | 0.7821 | 0.4896 | 0.7821 | 0.8844 |
| No log | 11.5385 | 150 | 0.7287 | 0.4911 | 0.7287 | 0.8537 |
| No log | 11.6923 | 152 | 0.7277 | 0.4831 | 0.7277 | 0.8531 |
| No log | 11.8462 | 154 | 0.7329 | 0.5057 | 0.7329 | 0.8561 |
| No log | 12.0 | 156 | 0.7460 | 0.4891 | 0.7460 | 0.8637 |
| No log | 12.1538 | 158 | 0.7637 | 0.4780 | 0.7637 | 0.8739 |
| No log | 12.3077 | 160 | 0.7101 | 0.4603 | 0.7101 | 0.8427 |
| No log | 12.4615 | 162 | 0.6448 | 0.4777 | 0.6448 | 0.8030 |
| No log | 12.6154 | 164 | 0.6809 | 0.4581 | 0.6809 | 0.8252 |
| No log | 12.7692 | 166 | 0.7006 | 0.4588 | 0.7006 | 0.8370 |
| No log | 12.9231 | 168 | 0.6834 | 0.4815 | 0.6834 | 0.8267 |
| No log | 13.0769 | 170 | 0.7962 | 0.4549 | 0.7962 | 0.8923 |
| No log | 13.2308 | 172 | 0.9033 | 0.4306 | 0.9033 | 0.9504 |
| No log | 13.3846 | 174 | 0.8654 | 0.4977 | 0.8654 | 0.9303 |
| No log | 13.5385 | 176 | 0.8124 | 0.5256 | 0.8124 | 0.9013 |
| No log | 13.6923 | 178 | 0.8643 | 0.4958 | 0.8643 | 0.9297 |
| No log | 13.8462 | 180 | 0.8723 | 0.4388 | 0.8723 | 0.9340 |
| No log | 14.0 | 182 | 0.7218 | 0.4459 | 0.7218 | 0.8496 |
| No log | 14.1538 | 184 | 0.6256 | 0.4747 | 0.6256 | 0.7910 |
| No log | 14.3077 | 186 | 0.6523 | 0.5517 | 0.6523 | 0.8076 |
| No log | 14.4615 | 188 | 0.6914 | 0.4984 | 0.6914 | 0.8315 |
| No log | 14.6154 | 190 | 0.6509 | 0.5704 | 0.6509 | 0.8068 |
| No log | 14.7692 | 192 | 0.6838 | 0.4771 | 0.6838 | 0.8269 |
| No log | 14.9231 | 194 | 0.7751 | 0.4625 | 0.7751 | 0.8804 |
| No log | 15.0769 | 196 | 0.7760 | 0.4838 | 0.7760 | 0.8809 |
| No log | 15.2308 | 198 | 0.7070 | 0.5260 | 0.7070 | 0.8408 |
| No log | 15.3846 | 200 | 0.7221 | 0.5127 | 0.7221 | 0.8498 |
| No log | 15.5385 | 202 | 0.7644 | 0.4975 | 0.7644 | 0.8743 |
| No log | 15.6923 | 204 | 0.7272 | 0.5003 | 0.7272 | 0.8528 |
| No log | 15.8462 | 206 | 0.7185 | 0.5179 | 0.7185 | 0.8476 |
| No log | 16.0 | 208 | 0.7182 | 0.5116 | 0.7182 | 0.8475 |
| No log | 16.1538 | 210 | 0.7095 | 0.4971 | 0.7095 | 0.8423 |
| No log | 16.3077 | 212 | 0.7072 | 0.4932 | 0.7072 | 0.8410 |
| No log | 16.4615 | 214 | 0.6880 | 0.5379 | 0.6880 | 0.8294 |
| No log | 16.6154 | 216 | 0.6806 | 0.5353 | 0.6806 | 0.8250 |
| No log | 16.7692 | 218 | 0.6900 | 0.5307 | 0.6900 | 0.8307 |
| No log | 16.9231 | 220 | 0.7143 | 0.5526 | 0.7143 | 0.8452 |
| No log | 17.0769 | 222 | 0.7169 | 0.5463 | 0.7169 | 0.8467 |
| No log | 17.2308 | 224 | 0.6977 | 0.5665 | 0.6977 | 0.8353 |
| No log | 17.3846 | 226 | 0.6887 | 0.5128 | 0.6887 | 0.8299 |
| No log | 17.5385 | 228 | 0.6644 | 0.5570 | 0.6644 | 0.8151 |
| No log | 17.6923 | 230 | 0.6625 | 0.5473 | 0.6625 | 0.8139 |
| No log | 17.8462 | 232 | 0.6415 | 0.5076 | 0.6415 | 0.8009 |
| No log | 18.0 | 234 | 0.6288 | 0.5261 | 0.6288 | 0.7929 |
| No log | 18.1538 | 236 | 0.6422 | 0.5125 | 0.6422 | 0.8014 |
| No log | 18.3077 | 238 | 0.6788 | 0.5126 | 0.6788 | 0.8239 |
| No log | 18.4615 | 240 | 0.7002 | 0.5200 | 0.7002 | 0.8368 |
| No log | 18.6154 | 242 | 0.7355 | 0.5391 | 0.7355 | 0.8576 |
| No log | 18.7692 | 244 | 0.7245 | 0.5386 | 0.7245 | 0.8512 |
| No log | 18.9231 | 246 | 0.7042 | 0.5347 | 0.7042 | 0.8392 |
| No log | 19.0769 | 248 | 0.6830 | 0.5420 | 0.6830 | 0.8265 |
| No log | 19.2308 | 250 | 0.6638 | 0.5610 | 0.6638 | 0.8147 |
| No log | 19.3846 | 252 | 0.6974 | 0.4820 | 0.6974 | 0.8351 |
| No log | 19.5385 | 254 | 0.6524 | 0.4907 | 0.6524 | 0.8077 |
| No log | 19.6923 | 256 | 0.5940 | 0.5257 | 0.5940 | 0.7707 |
| No log | 19.8462 | 258 | 0.5993 | 0.5552 | 0.5993 | 0.7742 |
| No log | 20.0 | 260 | 0.6205 | 0.5334 | 0.6205 | 0.7877 |
| No log | 20.1538 | 262 | 0.6417 | 0.5649 | 0.6417 | 0.8010 |
| No log | 20.3077 | 264 | 0.7325 | 0.5155 | 0.7325 | 0.8558 |
| No log | 20.4615 | 266 | 0.8066 | 0.5035 | 0.8066 | 0.8981 |
| No log | 20.6154 | 268 | 0.8258 | 0.5149 | 0.8258 | 0.9087 |
| No log | 20.7692 | 270 | 0.8111 | 0.5384 | 0.8111 | 0.9006 |
| No log | 20.9231 | 272 | 0.7576 | 0.5478 | 0.7576 | 0.8704 |
| No log | 21.0769 | 274 | 0.7205 | 0.5249 | 0.7205 | 0.8488 |
| No log | 21.2308 | 276 | 0.6835 | 0.5092 | 0.6835 | 0.8267 |
| No log | 21.3846 | 278 | 0.6593 | 0.5453 | 0.6593 | 0.8120 |
| No log | 21.5385 | 280 | 0.6424 | 0.5185 | 0.6424 | 0.8015 |
| No log | 21.6923 | 282 | 0.6392 | 0.5159 | 0.6392 | 0.7995 |
| No log | 21.8462 | 284 | 0.6376 | 0.4713 | 0.6376 | 0.7985 |
| No log | 22.0 | 286 | 0.6608 | 0.4778 | 0.6608 | 0.8129 |
| No log | 22.1538 | 288 | 0.7104 | 0.4467 | 0.7104 | 0.8429 |
| No log | 22.3077 | 290 | 0.6866 | 0.4393 | 0.6866 | 0.8286 |
| No log | 22.4615 | 292 | 0.6776 | 0.4943 | 0.6776 | 0.8232 |
| No log | 22.6154 | 294 | 0.6603 | 0.4845 | 0.6603 | 0.8126 |
| No log | 22.7692 | 296 | 0.6470 | 0.4879 | 0.6470 | 0.8043 |
| No log | 22.9231 | 298 | 0.6510 | 0.4379 | 0.6510 | 0.8068 |
| No log | 23.0769 | 300 | 0.6803 | 0.4896 | 0.6803 | 0.8248 |
| No log | 23.2308 | 302 | 0.6540 | 0.4399 | 0.6540 | 0.8087 |
| No log | 23.3846 | 304 | 0.5886 | 0.4158 | 0.5886 | 0.7672 |
| No log | 23.5385 | 306 | 0.5798 | 0.5216 | 0.5798 | 0.7614 |
| No log | 23.6923 | 308 | 0.5958 | 0.5241 | 0.5958 | 0.7719 |
| No log | 23.8462 | 310 | 0.5803 | 0.5649 | 0.5803 | 0.7618 |
| No log | 24.0 | 312 | 0.5977 | 0.5848 | 0.5977 | 0.7731 |
| No log | 24.1538 | 314 | 0.6105 | 0.5312 | 0.6105 | 0.7813 |
| No log | 24.3077 | 316 | 0.6295 | 0.5213 | 0.6295 | 0.7934 |
| No log | 24.4615 | 318 | 0.6414 | 0.5304 | 0.6414 | 0.8009 |
| No log | 24.6154 | 320 | 0.6650 | 0.5354 | 0.6650 | 0.8154 |
| No log | 24.7692 | 322 | 0.6760 | 0.5580 | 0.6760 | 0.8222 |
| No log | 24.9231 | 324 | 0.6620 | 0.5453 | 0.6620 | 0.8136 |
| No log | 25.0769 | 326 | 0.6402 | 0.5523 | 0.6402 | 0.8002 |
| No log | 25.2308 | 328 | 0.6305 | 0.5580 | 0.6305 | 0.7940 |
| No log | 25.3846 | 330 | 0.6266 | 0.5177 | 0.6266 | 0.7916 |
| No log | 25.5385 | 332 | 0.6272 | 0.5130 | 0.6272 | 0.7919 |
| No log | 25.6923 | 334 | 0.6249 | 0.4962 | 0.6249 | 0.7905 |
| No log | 25.8462 | 336 | 0.6397 | 0.5039 | 0.6397 | 0.7998 |
| No log | 26.0 | 338 | 0.6663 | 0.4780 | 0.6663 | 0.8163 |
| No log | 26.1538 | 340 | 0.8075 | 0.4801 | 0.8075 | 0.8986 |
| No log | 26.3077 | 342 | 0.9590 | 0.4354 | 0.9590 | 0.9793 |
| No log | 26.4615 | 344 | 0.9104 | 0.4632 | 0.9104 | 0.9542 |
| No log | 26.6154 | 346 | 0.7201 | 0.4439 | 0.7201 | 0.8486 |
| No log | 26.7692 | 348 | 0.6621 | 0.4359 | 0.6621 | 0.8137 |
| No log | 26.9231 | 350 | 0.6579 | 0.4375 | 0.6579 | 0.8111 |
| No log | 27.0769 | 352 | 0.6832 | 0.4732 | 0.6832 | 0.8265 |
| No log | 27.2308 | 354 | 0.6757 | 0.4696 | 0.6757 | 0.8220 |
| No log | 27.3846 | 356 | 0.6635 | 0.4450 | 0.6635 | 0.8145 |
| No log | 27.5385 | 358 | 0.6902 | 0.4642 | 0.6902 | 0.8308 |
| No log | 27.6923 | 360 | 0.7128 | 0.5088 | 0.7128 | 0.8443 |
| No log | 27.8462 | 362 | 0.7033 | 0.5228 | 0.7033 | 0.8386 |
| No log | 28.0 | 364 | 0.6790 | 0.5436 | 0.6790 | 0.8240 |
| No log | 28.1538 | 366 | 0.6695 | 0.5596 | 0.6695 | 0.8183 |
| No log | 28.3077 | 368 | 0.6551 | 0.5707 | 0.6551 | 0.8094 |
| No log | 28.4615 | 370 | 0.6503 | 0.5610 | 0.6503 | 0.8064 |
| No log | 28.6154 | 372 | 0.6358 | 0.5393 | 0.6358 | 0.7974 |
| No log | 28.7692 | 374 | 0.6278 | 0.5299 | 0.6278 | 0.7923 |
| No log | 28.9231 | 376 | 0.6321 | 0.5220 | 0.6321 | 0.7951 |
| No log | 29.0769 | 378 | 0.6316 | 0.5307 | 0.6316 | 0.7947 |
| No log | 29.2308 | 380 | 0.6136 | 0.5460 | 0.6136 | 0.7833 |
| No log | 29.3846 | 382 | 0.6085 | 0.5598 | 0.6085 | 0.7800 |
| No log | 29.5385 | 384 | 0.6160 | 0.5511 | 0.6160 | 0.7849 |
| No log | 29.6923 | 386 | 0.6411 | 0.5235 | 0.6411 | 0.8007 |
| No log | 29.8462 | 388 | 0.6413 | 0.5003 | 0.6413 | 0.8008 |
| No log | 30.0 | 390 | 0.6492 | 0.5583 | 0.6492 | 0.8057 |
| No log | 30.1538 | 392 | 0.6664 | 0.5202 | 0.6664 | 0.8163 |
| No log | 30.3077 | 394 | 0.6563 | 0.5410 | 0.6563 | 0.8101 |
| No log | 30.4615 | 396 | 0.6613 | 0.5565 | 0.6613 | 0.8132 |
| No log | 30.6154 | 398 | 0.6675 | 0.5260 | 0.6675 | 0.8170 |
| No log | 30.7692 | 400 | 0.7046 | 0.5127 | 0.7046 | 0.8394 |
| No log | 30.9231 | 402 | 0.7217 | 0.5152 | 0.7217 | 0.8496 |
| No log | 31.0769 | 404 | 0.7522 | 0.5406 | 0.7522 | 0.8673 |
| No log | 31.2308 | 406 | 0.7833 | 0.5253 | 0.7833 | 0.8850 |
| No log | 31.3846 | 408 | 0.7832 | 0.5214 | 0.7832 | 0.8850 |
| No log | 31.5385 | 410 | 0.7771 | 0.5525 | 0.7771 | 0.8815 |
| No log | 31.6923 | 412 | 0.7576 | 0.5191 | 0.7576 | 0.8704 |
| No log | 31.8462 | 414 | 0.7423 | 0.5003 | 0.7423 | 0.8616 |
| No log | 32.0 | 416 | 0.6816 | 0.4759 | 0.6816 | 0.8256 |
| No log | 32.1538 | 418 | 0.6283 | 0.5386 | 0.6283 | 0.7927 |
| No log | 32.3077 | 420 | 0.6441 | 0.5208 | 0.6441 | 0.8025 |
| No log | 32.4615 | 422 | 0.6744 | 0.4801 | 0.6744 | 0.8212 |
| No log | 32.6154 | 424 | 0.6777 | 0.5129 | 0.6777 | 0.8232 |
| No log | 32.7692 | 426 | 0.6880 | 0.4909 | 0.6880 | 0.8295 |
| No log | 32.9231 | 428 | 0.6829 | 0.4963 | 0.6829 | 0.8264 |
| No log | 33.0769 | 430 | 0.6556 | 0.4956 | 0.6556 | 0.8097 |
| No log | 33.2308 | 432 | 0.6417 | 0.5231 | 0.6417 | 0.8010 |
| No log | 33.3846 | 434 | 0.6382 | 0.5541 | 0.6382 | 0.7989 |
| No log | 33.5385 | 436 | 0.6319 | 0.5421 | 0.6319 | 0.7949 |
| No log | 33.6923 | 438 | 0.6311 | 0.5091 | 0.6311 | 0.7944 |
| No log | 33.8462 | 440 | 0.6368 | 0.5169 | 0.6368 | 0.7980 |
| No log | 34.0 | 442 | 0.6290 | 0.5159 | 0.6290 | 0.7931 |
| No log | 34.1538 | 444 | 0.6015 | 0.5607 | 0.6015 | 0.7755 |
| No log | 34.3077 | 446 | 0.5959 | 0.5323 | 0.5959 | 0.7719 |
| No log | 34.4615 | 448 | 0.6194 | 0.5371 | 0.6194 | 0.7870 |
| No log | 34.6154 | 450 | 0.6465 | 0.4933 | 0.6465 | 0.8040 |
| No log | 34.7692 | 452 | 0.6442 | 0.4812 | 0.6442 | 0.8026 |
| No log | 34.9231 | 454 | 0.6268 | 0.5304 | 0.6268 | 0.7917 |
| No log | 35.0769 | 456 | 0.6166 | 0.5483 | 0.6166 | 0.7853 |
| No log | 35.2308 | 458 | 0.6281 | 0.5393 | 0.6281 | 0.7925 |
| No log | 35.3846 | 460 | 0.6409 | 0.5450 | 0.6409 | 0.8005 |
| No log | 35.5385 | 462 | 0.6211 | 0.5505 | 0.6211 | 0.7881 |
| No log | 35.6923 | 464 | 0.5978 | 0.5258 | 0.5978 | 0.7732 |
| No log | 35.8462 | 466 | 0.5977 | 0.5274 | 0.5977 | 0.7731 |
| No log | 36.0 | 468 | 0.6067 | 0.5167 | 0.6067 | 0.7789 |
| No log | 36.1538 | 470 | 0.6211 | 0.5167 | 0.6211 | 0.7881 |
| No log | 36.3077 | 472 | 0.6220 | 0.5153 | 0.6220 | 0.7887 |
| No log | 36.4615 | 474 | 0.6155 | 0.5129 | 0.6155 | 0.7845 |
| No log | 36.6154 | 476 | 0.6041 | 0.5176 | 0.6041 | 0.7773 |
| No log | 36.7692 | 478 | 0.6005 | 0.5216 | 0.6005 | 0.7749 |
| No log | 36.9231 | 480 | 0.5985 | 0.5216 | 0.5985 | 0.7737 |
| No log | 37.0769 | 482 | 0.5921 | 0.5266 | 0.5921 | 0.7695 |
| No log | 37.2308 | 484 | 0.6054 | 0.5379 | 0.6054 | 0.7781 |
| No log | 37.3846 | 486 | 0.6092 | 0.5481 | 0.6092 | 0.7805 |
| No log | 37.5385 | 488 | 0.5958 | 0.5105 | 0.5958 | 0.7719 |
| No log | 37.6923 | 490 | 0.5865 | 0.5137 | 0.5865 | 0.7658 |
| No log | 37.8462 | 492 | 0.5877 | 0.5464 | 0.5877 | 0.7666 |
| No log | 38.0 | 494 | 0.5880 | 0.5111 | 0.5880 | 0.7668 |
| No log | 38.1538 | 496 | 0.6005 | 0.5053 | 0.6005 | 0.7749 |
| No log | 38.3077 | 498 | 0.6396 | 0.5445 | 0.6396 | 0.7997 |
| 0.3361 | 38.4615 | 500 | 0.6511 | 0.5701 | 0.6511 | 0.8069 |
| 0.3361 | 38.6154 | 502 | 0.6222 | 0.5376 | 0.6222 | 0.7888 |
| 0.3361 | 38.7692 | 504 | 0.6224 | 0.5129 | 0.6224 | 0.7889 |
| 0.3361 | 38.9231 | 506 | 0.6555 | 0.4822 | 0.6555 | 0.8097 |
| 0.3361 | 39.0769 | 508 | 0.6771 | 0.4475 | 0.6771 | 0.8229 |
| 0.3361 | 39.2308 | 510 | 0.6562 | 0.4943 | 0.6562 | 0.8101 |
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/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k2_task2_organization
Base model
aubmindlab/bert-base-arabertv02