ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k7_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: 0.5135
- Qwk: 0.4958
- Mse: 0.5135
- Rmse: 0.7166
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 | 0.0541 | 2 | 2.5123 | -0.0788 | 2.5123 | 1.5850 |
| No log | 0.1081 | 4 | 1.1927 | 0.0979 | 1.1927 | 1.0921 |
| No log | 0.1622 | 6 | 0.9192 | -0.0354 | 0.9192 | 0.9587 |
| No log | 0.2162 | 8 | 0.9520 | 0.1867 | 0.9520 | 0.9757 |
| No log | 0.2703 | 10 | 0.9182 | 0.2460 | 0.9182 | 0.9583 |
| No log | 0.3243 | 12 | 0.9697 | 0.2363 | 0.9697 | 0.9848 |
| No log | 0.3784 | 14 | 0.8141 | 0.2193 | 0.8141 | 0.9022 |
| No log | 0.4324 | 16 | 0.7218 | 0.2361 | 0.7218 | 0.8496 |
| No log | 0.4865 | 18 | 0.9577 | 0.2784 | 0.9577 | 0.9786 |
| No log | 0.5405 | 20 | 0.7337 | 0.3719 | 0.7338 | 0.8566 |
| No log | 0.5946 | 22 | 0.5626 | 0.3608 | 0.5626 | 0.7501 |
| No log | 0.6486 | 24 | 0.5668 | 0.3348 | 0.5668 | 0.7529 |
| No log | 0.7027 | 26 | 0.7287 | 0.3553 | 0.7287 | 0.8536 |
| No log | 0.7568 | 28 | 1.2923 | 0.1453 | 1.2923 | 1.1368 |
| No log | 0.8108 | 30 | 1.4796 | 0.0595 | 1.4796 | 1.2164 |
| No log | 0.8649 | 32 | 1.3667 | 0.0799 | 1.3667 | 1.1691 |
| No log | 0.9189 | 34 | 1.0556 | 0.3217 | 1.0556 | 1.0274 |
| No log | 0.9730 | 36 | 0.6825 | 0.3553 | 0.6825 | 0.8262 |
| No log | 1.0270 | 38 | 0.5780 | 0.4437 | 0.5780 | 0.7603 |
| No log | 1.0811 | 40 | 0.6759 | 0.4144 | 0.6759 | 0.8221 |
| No log | 1.1351 | 42 | 0.5624 | 0.3494 | 0.5624 | 0.7499 |
| No log | 1.1892 | 44 | 0.6317 | 0.3173 | 0.6317 | 0.7948 |
| No log | 1.2432 | 46 | 0.7228 | 0.3492 | 0.7228 | 0.8502 |
| No log | 1.2973 | 48 | 0.8540 | 0.4088 | 0.8540 | 0.9241 |
| No log | 1.3514 | 50 | 0.9364 | 0.3719 | 0.9364 | 0.9677 |
| No log | 1.4054 | 52 | 0.9209 | 0.3239 | 0.9209 | 0.9596 |
| No log | 1.4595 | 54 | 0.7420 | 0.3090 | 0.7420 | 0.8614 |
| No log | 1.5135 | 56 | 0.6365 | 0.2841 | 0.6365 | 0.7978 |
| No log | 1.5676 | 58 | 0.5533 | 0.0444 | 0.5533 | 0.7438 |
| No log | 1.6216 | 60 | 0.5694 | 0.4758 | 0.5694 | 0.7546 |
| No log | 1.6757 | 62 | 0.5841 | 0.4919 | 0.5841 | 0.7643 |
| No log | 1.7297 | 64 | 0.5711 | 0.2336 | 0.5711 | 0.7557 |
| No log | 1.7838 | 66 | 0.7300 | 0.1358 | 0.7300 | 0.8544 |
| No log | 1.8378 | 68 | 0.9738 | 0.3483 | 0.9738 | 0.9868 |
| No log | 1.8919 | 70 | 1.0381 | 0.3603 | 1.0381 | 1.0189 |
| No log | 1.9459 | 72 | 0.9198 | 0.3601 | 0.9198 | 0.9591 |
| No log | 2.0 | 74 | 0.7377 | 0.1685 | 0.7377 | 0.8589 |
| No log | 2.0541 | 76 | 0.5541 | 0.4264 | 0.5541 | 0.7444 |
| No log | 2.1081 | 78 | 0.5542 | 0.4264 | 0.5542 | 0.7444 |
| No log | 2.1622 | 80 | 0.6085 | 0.3146 | 0.6085 | 0.7801 |
| No log | 2.2162 | 82 | 0.8764 | 0.2846 | 0.8764 | 0.9361 |
| No log | 2.2703 | 84 | 1.1718 | 0.2403 | 1.1718 | 1.0825 |
| No log | 2.3243 | 86 | 1.1522 | 0.2403 | 1.1522 | 1.0734 |
| No log | 2.3784 | 88 | 0.8890 | 0.2516 | 0.8890 | 0.9429 |
| No log | 2.4324 | 90 | 0.6335 | 0.3097 | 0.6335 | 0.7959 |
| No log | 2.4865 | 92 | 0.5748 | 0.4249 | 0.5748 | 0.7582 |
| No log | 2.5405 | 94 | 0.5382 | 0.5161 | 0.5382 | 0.7336 |
| No log | 2.5946 | 96 | 0.5344 | 0.4685 | 0.5344 | 0.7310 |
| No log | 2.6486 | 98 | 0.5285 | 0.4468 | 0.5285 | 0.7270 |
| No log | 2.7027 | 100 | 0.5315 | 0.3836 | 0.5315 | 0.7290 |
| No log | 2.7568 | 102 | 0.5254 | 0.4291 | 0.5254 | 0.7248 |
| No log | 2.8108 | 104 | 0.5279 | 0.5209 | 0.5279 | 0.7266 |
| No log | 2.8649 | 106 | 0.5091 | 0.4816 | 0.5091 | 0.7135 |
| No log | 2.9189 | 108 | 0.5853 | 0.3706 | 0.5853 | 0.7650 |
| No log | 2.9730 | 110 | 0.7720 | 0.3953 | 0.7720 | 0.8786 |
| No log | 3.0270 | 112 | 0.9994 | 0.3411 | 0.9994 | 0.9997 |
| No log | 3.0811 | 114 | 0.9980 | 0.3411 | 0.9980 | 0.9990 |
| No log | 3.1351 | 116 | 0.8056 | 0.4152 | 0.8056 | 0.8976 |
| No log | 3.1892 | 118 | 0.5418 | 0.4575 | 0.5418 | 0.7361 |
| No log | 3.2432 | 120 | 0.5137 | 0.5232 | 0.5137 | 0.7168 |
| No log | 3.2973 | 122 | 0.5135 | 0.4774 | 0.5135 | 0.7166 |
| No log | 3.3514 | 124 | 0.4966 | 0.5485 | 0.4966 | 0.7047 |
| No log | 3.4054 | 126 | 0.5219 | 0.4190 | 0.5219 | 0.7224 |
| No log | 3.4595 | 128 | 0.4987 | 0.4444 | 0.4987 | 0.7062 |
| No log | 3.5135 | 130 | 0.5225 | 0.5571 | 0.5225 | 0.7228 |
| No log | 3.5676 | 132 | 0.5669 | 0.5161 | 0.5669 | 0.7529 |
| No log | 3.6216 | 134 | 0.5596 | 0.5368 | 0.5596 | 0.7481 |
| No log | 3.6757 | 136 | 0.5066 | 0.5397 | 0.5066 | 0.7118 |
| No log | 3.7297 | 138 | 0.5635 | 0.4597 | 0.5635 | 0.7507 |
| No log | 3.7838 | 140 | 0.5868 | 0.4684 | 0.5868 | 0.7660 |
| No log | 3.8378 | 142 | 0.5241 | 0.5306 | 0.5241 | 0.7239 |
| No log | 3.8919 | 144 | 0.5501 | 0.5104 | 0.5501 | 0.7417 |
| No log | 3.9459 | 146 | 0.5611 | 0.4480 | 0.5611 | 0.7491 |
| No log | 4.0 | 148 | 0.5512 | 0.4752 | 0.5512 | 0.7424 |
| No log | 4.0541 | 150 | 0.5508 | 0.4752 | 0.5508 | 0.7422 |
| No log | 4.1081 | 152 | 0.5615 | 0.4800 | 0.5615 | 0.7493 |
| No log | 4.1622 | 154 | 0.5488 | 0.4800 | 0.5488 | 0.7408 |
| No log | 4.2162 | 156 | 0.5554 | 0.4955 | 0.5554 | 0.7453 |
| No log | 4.2703 | 158 | 0.5382 | 0.5160 | 0.5382 | 0.7336 |
| No log | 4.3243 | 160 | 0.5137 | 0.5205 | 0.5137 | 0.7167 |
| No log | 4.3784 | 162 | 0.5270 | 0.5407 | 0.5270 | 0.7259 |
| No log | 4.4324 | 164 | 0.5254 | 0.5840 | 0.5254 | 0.7248 |
| No log | 4.4865 | 166 | 0.5393 | 0.6242 | 0.5393 | 0.7344 |
| No log | 4.5405 | 168 | 0.5301 | 0.5318 | 0.5301 | 0.7281 |
| No log | 4.5946 | 170 | 0.5350 | 0.4675 | 0.5350 | 0.7314 |
| No log | 4.6486 | 172 | 0.5183 | 0.5812 | 0.5183 | 0.7199 |
| No log | 4.7027 | 174 | 0.5498 | 0.5980 | 0.5498 | 0.7415 |
| No log | 4.7568 | 176 | 0.5143 | 0.5951 | 0.5143 | 0.7171 |
| No log | 4.8108 | 178 | 0.5065 | 0.5722 | 0.5065 | 0.7117 |
| No log | 4.8649 | 180 | 0.5495 | 0.4952 | 0.5495 | 0.7413 |
| No log | 4.9189 | 182 | 0.5258 | 0.4935 | 0.5258 | 0.7251 |
| No log | 4.9730 | 184 | 0.5503 | 0.5106 | 0.5503 | 0.7418 |
| No log | 5.0270 | 186 | 0.6134 | 0.5046 | 0.6134 | 0.7832 |
| No log | 5.0811 | 188 | 0.6761 | 0.5205 | 0.6761 | 0.8222 |
| No log | 5.1351 | 190 | 0.6294 | 0.5046 | 0.6294 | 0.7934 |
| No log | 5.1892 | 192 | 0.5338 | 0.5030 | 0.5338 | 0.7306 |
| No log | 5.2432 | 194 | 0.5162 | 0.5090 | 0.5162 | 0.7185 |
| No log | 5.2973 | 196 | 0.5164 | 0.4892 | 0.5164 | 0.7186 |
| No log | 5.3514 | 198 | 0.6080 | 0.5046 | 0.6080 | 0.7797 |
| No log | 5.4054 | 200 | 0.7186 | 0.5047 | 0.7186 | 0.8477 |
| No log | 5.4595 | 202 | 0.7098 | 0.5047 | 0.7098 | 0.8425 |
| No log | 5.5135 | 204 | 0.6619 | 0.5047 | 0.6619 | 0.8135 |
| No log | 5.5676 | 206 | 0.7029 | 0.4867 | 0.7029 | 0.8384 |
| No log | 5.6216 | 208 | 0.6948 | 0.4867 | 0.6948 | 0.8335 |
| No log | 5.6757 | 210 | 0.6654 | 0.4867 | 0.6654 | 0.8157 |
| No log | 5.7297 | 212 | 0.5637 | 0.4598 | 0.5637 | 0.7508 |
| No log | 5.7838 | 214 | 0.5267 | 0.5249 | 0.5267 | 0.7257 |
| No log | 5.8378 | 216 | 0.5830 | 0.4909 | 0.5830 | 0.7636 |
| No log | 5.8919 | 218 | 0.5226 | 0.5794 | 0.5226 | 0.7229 |
| No log | 5.9459 | 220 | 0.4739 | 0.6210 | 0.4739 | 0.6884 |
| No log | 6.0 | 222 | 0.4974 | 0.5956 | 0.4974 | 0.7053 |
| No log | 6.0541 | 224 | 0.5892 | 0.5116 | 0.5892 | 0.7676 |
| No log | 6.1081 | 226 | 0.6235 | 0.5116 | 0.6235 | 0.7896 |
| No log | 6.1622 | 228 | 0.6574 | 0.5131 | 0.6574 | 0.8108 |
| No log | 6.2162 | 230 | 0.7315 | 0.4683 | 0.7315 | 0.8553 |
| No log | 6.2703 | 232 | 0.5902 | 0.5101 | 0.5902 | 0.7682 |
| No log | 6.3243 | 234 | 0.5172 | 0.5655 | 0.5172 | 0.7192 |
| No log | 6.3784 | 236 | 0.5206 | 0.5655 | 0.5206 | 0.7215 |
| No log | 6.4324 | 238 | 0.5374 | 0.5383 | 0.5374 | 0.7331 |
| No log | 6.4865 | 240 | 0.5946 | 0.4957 | 0.5946 | 0.7711 |
| No log | 6.5405 | 242 | 0.6325 | 0.5152 | 0.6325 | 0.7953 |
| No log | 6.5946 | 244 | 0.5916 | 0.4957 | 0.5916 | 0.7691 |
| No log | 6.6486 | 246 | 0.5370 | 0.6298 | 0.5370 | 0.7328 |
| No log | 6.7027 | 248 | 0.5498 | 0.6028 | 0.5498 | 0.7415 |
| No log | 6.7568 | 250 | 0.5435 | 0.5442 | 0.5435 | 0.7372 |
| No log | 6.8108 | 252 | 0.4899 | 0.6240 | 0.4899 | 0.7000 |
| No log | 6.8649 | 254 | 0.4682 | 0.6351 | 0.4682 | 0.6843 |
| No log | 6.9189 | 256 | 0.4803 | 0.6701 | 0.4803 | 0.6930 |
| No log | 6.9730 | 258 | 0.4973 | 0.5779 | 0.4973 | 0.7052 |
| No log | 7.0270 | 260 | 0.5029 | 0.5779 | 0.5029 | 0.7092 |
| No log | 7.0811 | 262 | 0.5486 | 0.4851 | 0.5486 | 0.7407 |
| No log | 7.1351 | 264 | 0.5349 | 0.5455 | 0.5349 | 0.7314 |
| No log | 7.1892 | 266 | 0.4916 | 0.5960 | 0.4916 | 0.7012 |
| No log | 7.2432 | 268 | 0.4769 | 0.6242 | 0.4769 | 0.6906 |
| No log | 7.2973 | 270 | 0.4780 | 0.6243 | 0.4780 | 0.6914 |
| No log | 7.3514 | 272 | 0.5320 | 0.5352 | 0.5320 | 0.7294 |
| No log | 7.4054 | 274 | 0.5359 | 0.5352 | 0.5359 | 0.7320 |
| No log | 7.4595 | 276 | 0.4975 | 0.5902 | 0.4975 | 0.7054 |
| No log | 7.5135 | 278 | 0.5265 | 0.5437 | 0.5265 | 0.7256 |
| No log | 7.5676 | 280 | 0.5312 | 0.5437 | 0.5312 | 0.7288 |
| No log | 7.6216 | 282 | 0.5215 | 0.5195 | 0.5215 | 0.7221 |
| No log | 7.6757 | 284 | 0.5215 | 0.5213 | 0.5215 | 0.7222 |
| No log | 7.7297 | 286 | 0.5285 | 0.5479 | 0.5285 | 0.7270 |
| No log | 7.7838 | 288 | 0.6330 | 0.4009 | 0.6330 | 0.7956 |
| No log | 7.8378 | 290 | 0.6862 | 0.3827 | 0.6862 | 0.8284 |
| No log | 7.8919 | 292 | 0.6269 | 0.3754 | 0.6269 | 0.7918 |
| No log | 7.9459 | 294 | 0.5536 | 0.5675 | 0.5536 | 0.7441 |
| No log | 8.0 | 296 | 0.5445 | 0.4795 | 0.5445 | 0.7379 |
| No log | 8.0541 | 298 | 0.5613 | 0.4753 | 0.5613 | 0.7492 |
| No log | 8.1081 | 300 | 0.5338 | 0.4681 | 0.5338 | 0.7306 |
| No log | 8.1622 | 302 | 0.5444 | 0.5591 | 0.5444 | 0.7378 |
| No log | 8.2162 | 304 | 0.6010 | 0.4931 | 0.6010 | 0.7752 |
| No log | 8.2703 | 306 | 0.6489 | 0.4747 | 0.6489 | 0.8055 |
| No log | 8.3243 | 308 | 0.6271 | 0.4747 | 0.6271 | 0.7919 |
| No log | 8.3784 | 310 | 0.6107 | 0.4690 | 0.6107 | 0.7815 |
| No log | 8.4324 | 312 | 0.5352 | 0.5283 | 0.5352 | 0.7316 |
| No log | 8.4865 | 314 | 0.5221 | 0.5731 | 0.5221 | 0.7225 |
| No log | 8.5405 | 316 | 0.5337 | 0.5510 | 0.5337 | 0.7305 |
| No log | 8.5946 | 318 | 0.5839 | 0.4589 | 0.5839 | 0.7641 |
| No log | 8.6486 | 320 | 0.6330 | 0.2559 | 0.6330 | 0.7956 |
| No log | 8.7027 | 322 | 0.6030 | 0.3661 | 0.6030 | 0.7765 |
| No log | 8.7568 | 324 | 0.5487 | 0.5283 | 0.5487 | 0.7408 |
| No log | 8.8108 | 326 | 0.5384 | 0.5283 | 0.5384 | 0.7338 |
| No log | 8.8649 | 328 | 0.5071 | 0.5248 | 0.5071 | 0.7121 |
| No log | 8.9189 | 330 | 0.5037 | 0.5890 | 0.5037 | 0.7097 |
| No log | 8.9730 | 332 | 0.5192 | 0.5110 | 0.5192 | 0.7206 |
| No log | 9.0270 | 334 | 0.5213 | 0.5110 | 0.5213 | 0.7220 |
| No log | 9.0811 | 336 | 0.4975 | 0.5463 | 0.4975 | 0.7053 |
| No log | 9.1351 | 338 | 0.4985 | 0.5765 | 0.4985 | 0.7060 |
| No log | 9.1892 | 340 | 0.4957 | 0.5321 | 0.4957 | 0.7040 |
| No log | 9.2432 | 342 | 0.5028 | 0.5521 | 0.5028 | 0.7091 |
| No log | 9.2973 | 344 | 0.5058 | 0.5422 | 0.5058 | 0.7112 |
| No log | 9.3514 | 346 | 0.4890 | 0.5890 | 0.4890 | 0.6993 |
| No log | 9.4054 | 348 | 0.5240 | 0.4997 | 0.5240 | 0.7239 |
| No log | 9.4595 | 350 | 0.6008 | 0.5205 | 0.6008 | 0.7751 |
| No log | 9.5135 | 352 | 0.5903 | 0.5077 | 0.5903 | 0.7683 |
| No log | 9.5676 | 354 | 0.5736 | 0.5131 | 0.5736 | 0.7574 |
| No log | 9.6216 | 356 | 0.5971 | 0.5131 | 0.5971 | 0.7727 |
| No log | 9.6757 | 358 | 0.5874 | 0.5131 | 0.5874 | 0.7664 |
| No log | 9.7297 | 360 | 0.5200 | 0.5726 | 0.5200 | 0.7211 |
| No log | 9.7838 | 362 | 0.4724 | 0.6900 | 0.4724 | 0.6873 |
| No log | 9.8378 | 364 | 0.4657 | 0.6914 | 0.4657 | 0.6824 |
| No log | 9.8919 | 366 | 0.4857 | 0.5849 | 0.4857 | 0.6969 |
| No log | 9.9459 | 368 | 0.5658 | 0.5077 | 0.5658 | 0.7522 |
| No log | 10.0 | 370 | 0.7004 | 0.4799 | 0.7004 | 0.8369 |
| No log | 10.0541 | 372 | 0.7230 | 0.4799 | 0.7230 | 0.8503 |
| No log | 10.1081 | 374 | 0.6398 | 0.4906 | 0.6398 | 0.7999 |
| No log | 10.1622 | 376 | 0.5610 | 0.5205 | 0.5610 | 0.7490 |
| No log | 10.2162 | 378 | 0.5485 | 0.5061 | 0.5485 | 0.7406 |
| No log | 10.2703 | 380 | 0.5190 | 0.5513 | 0.5190 | 0.7204 |
| No log | 10.3243 | 382 | 0.5057 | 0.5283 | 0.5057 | 0.7111 |
| No log | 10.3784 | 384 | 0.5012 | 0.5283 | 0.5012 | 0.7080 |
| No log | 10.4324 | 386 | 0.5359 | 0.4694 | 0.5359 | 0.7320 |
| No log | 10.4865 | 388 | 0.5845 | 0.5112 | 0.5845 | 0.7646 |
| No log | 10.5405 | 390 | 0.6362 | 0.4396 | 0.6362 | 0.7976 |
| No log | 10.5946 | 392 | 0.6614 | 0.4396 | 0.6614 | 0.8133 |
| No log | 10.6486 | 394 | 0.6030 | 0.5112 | 0.6030 | 0.7765 |
| No log | 10.7027 | 396 | 0.5268 | 0.5065 | 0.5268 | 0.7258 |
| No log | 10.7568 | 398 | 0.5082 | 0.5189 | 0.5082 | 0.7129 |
| No log | 10.8108 | 400 | 0.5225 | 0.5076 | 0.5225 | 0.7229 |
| No log | 10.8649 | 402 | 0.5229 | 0.5658 | 0.5229 | 0.7231 |
| No log | 10.9189 | 404 | 0.5385 | 0.4913 | 0.5385 | 0.7338 |
| No log | 10.9730 | 406 | 0.5455 | 0.5061 | 0.5455 | 0.7386 |
| No log | 11.0270 | 408 | 0.5348 | 0.5127 | 0.5348 | 0.7313 |
| No log | 11.0811 | 410 | 0.5413 | 0.4850 | 0.5413 | 0.7357 |
| No log | 11.1351 | 412 | 0.5269 | 0.4850 | 0.5269 | 0.7258 |
| No log | 11.1892 | 414 | 0.5179 | 0.5283 | 0.5179 | 0.7197 |
| No log | 11.2432 | 416 | 0.5124 | 0.5432 | 0.5124 | 0.7158 |
| No log | 11.2973 | 418 | 0.5102 | 0.5356 | 0.5102 | 0.7143 |
| No log | 11.3514 | 420 | 0.5458 | 0.4411 | 0.5458 | 0.7388 |
| No log | 11.4054 | 422 | 0.6420 | 0.4811 | 0.6420 | 0.8013 |
| No log | 11.4595 | 424 | 0.6587 | 0.4615 | 0.6587 | 0.8116 |
| No log | 11.5135 | 426 | 0.6570 | 0.4811 | 0.6570 | 0.8106 |
| No log | 11.5676 | 428 | 0.6021 | 0.4482 | 0.6021 | 0.7759 |
| No log | 11.6216 | 430 | 0.5261 | 0.4633 | 0.5261 | 0.7254 |
| No log | 11.6757 | 432 | 0.5056 | 0.5815 | 0.5056 | 0.7111 |
| No log | 11.7297 | 434 | 0.5039 | 0.5902 | 0.5039 | 0.7099 |
| No log | 11.7838 | 436 | 0.5162 | 0.5283 | 0.5162 | 0.7185 |
| No log | 11.8378 | 438 | 0.5506 | 0.4411 | 0.5506 | 0.7420 |
| No log | 11.8919 | 440 | 0.5518 | 0.4411 | 0.5518 | 0.7428 |
| No log | 11.9459 | 442 | 0.5569 | 0.4411 | 0.5569 | 0.7462 |
| No log | 12.0 | 444 | 0.5217 | 0.5432 | 0.5217 | 0.7223 |
| No log | 12.0541 | 446 | 0.5100 | 0.5649 | 0.5100 | 0.7142 |
| No log | 12.1081 | 448 | 0.5067 | 0.5649 | 0.5067 | 0.7118 |
| No log | 12.1622 | 450 | 0.5011 | 0.5979 | 0.5011 | 0.7079 |
| No log | 12.2162 | 452 | 0.4918 | 0.5750 | 0.4918 | 0.7013 |
| No log | 12.2703 | 454 | 0.4876 | 0.5649 | 0.4876 | 0.6983 |
| No log | 12.3243 | 456 | 0.4933 | 0.5432 | 0.4933 | 0.7023 |
| No log | 12.3784 | 458 | 0.4867 | 0.5432 | 0.4867 | 0.6976 |
| No log | 12.4324 | 460 | 0.4781 | 0.5714 | 0.4781 | 0.6914 |
| No log | 12.4865 | 462 | 0.4813 | 0.5550 | 0.4813 | 0.6938 |
| No log | 12.5405 | 464 | 0.4855 | 0.5765 | 0.4855 | 0.6968 |
| No log | 12.5946 | 466 | 0.5342 | 0.4886 | 0.5342 | 0.7309 |
| No log | 12.6486 | 468 | 0.5888 | 0.4613 | 0.5888 | 0.7673 |
| No log | 12.7027 | 470 | 0.6179 | 0.5003 | 0.6179 | 0.7861 |
| No log | 12.7568 | 472 | 0.5956 | 0.5200 | 0.5956 | 0.7718 |
| No log | 12.8108 | 474 | 0.5223 | 0.5152 | 0.5223 | 0.7227 |
| No log | 12.8649 | 476 | 0.4694 | 0.5507 | 0.4694 | 0.6851 |
| No log | 12.9189 | 478 | 0.4778 | 0.6326 | 0.4778 | 0.6912 |
| No log | 12.9730 | 480 | 0.4694 | 0.6326 | 0.4694 | 0.6851 |
| No log | 13.0270 | 482 | 0.4591 | 0.6542 | 0.4591 | 0.6776 |
| No log | 13.0811 | 484 | 0.4656 | 0.5571 | 0.4656 | 0.6824 |
| No log | 13.1351 | 486 | 0.5011 | 0.5603 | 0.5011 | 0.7079 |
| No log | 13.1892 | 488 | 0.5092 | 0.5748 | 0.5092 | 0.7136 |
| No log | 13.2432 | 490 | 0.5502 | 0.5331 | 0.5502 | 0.7417 |
| No log | 13.2973 | 492 | 0.5735 | 0.5265 | 0.5735 | 0.7573 |
| No log | 13.3514 | 494 | 0.5980 | 0.5281 | 0.5980 | 0.7733 |
| No log | 13.4054 | 496 | 0.5493 | 0.5112 | 0.5493 | 0.7412 |
| No log | 13.4595 | 498 | 0.4908 | 0.5702 | 0.4908 | 0.7006 |
| 0.3193 | 13.5135 | 500 | 0.4888 | 0.5405 | 0.4888 | 0.6991 |
| 0.3193 | 13.5676 | 502 | 0.5048 | 0.4364 | 0.5048 | 0.7105 |
| 0.3193 | 13.6216 | 504 | 0.5125 | 0.4124 | 0.5125 | 0.7159 |
| 0.3193 | 13.6757 | 506 | 0.5151 | 0.4704 | 0.5151 | 0.7177 |
| 0.3193 | 13.7297 | 508 | 0.5124 | 0.4968 | 0.5124 | 0.7158 |
| 0.3193 | 13.7838 | 510 | 0.5135 | 0.4958 | 0.5135 | 0.7166 |
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_B_usingALLEssays_FineTuningAraBERT_run2_AugV5_k7_task7_organization
Base model
aubmindlab/bert-base-arabertv02