ArabicNewSplits7_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k12_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: 0.5049
- Qwk: 0.4774
- Mse: 0.5049
- Rmse: 0.7106
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 | 0.0333 | 2 | 2.7443 | -0.0593 | 2.7443 | 1.6566 |
| No log | 0.0667 | 4 | 1.2455 | 0.1243 | 1.2455 | 1.1160 |
| No log | 0.1 | 6 | 0.7866 | 0.0937 | 0.7866 | 0.8869 |
| No log | 0.1333 | 8 | 0.7359 | 0.2012 | 0.7359 | 0.8579 |
| No log | 0.1667 | 10 | 0.7198 | 0.1587 | 0.7198 | 0.8484 |
| No log | 0.2 | 12 | 0.7381 | 0.2057 | 0.7381 | 0.8591 |
| No log | 0.2333 | 14 | 0.7210 | 0.3388 | 0.7210 | 0.8491 |
| No log | 0.2667 | 16 | 0.6292 | 0.4018 | 0.6292 | 0.7932 |
| No log | 0.3 | 18 | 0.5640 | 0.4211 | 0.5640 | 0.7510 |
| No log | 0.3333 | 20 | 0.5344 | 0.4747 | 0.5344 | 0.7310 |
| No log | 0.3667 | 22 | 0.5256 | 0.4891 | 0.5256 | 0.7250 |
| No log | 0.4 | 24 | 0.6579 | 0.3484 | 0.6579 | 0.8111 |
| No log | 0.4333 | 26 | 0.6508 | 0.2880 | 0.6508 | 0.8067 |
| No log | 0.4667 | 28 | 0.5148 | 0.4538 | 0.5148 | 0.7175 |
| No log | 0.5 | 30 | 0.5906 | 0.5291 | 0.5906 | 0.7685 |
| No log | 0.5333 | 32 | 0.5816 | 0.6038 | 0.5816 | 0.7626 |
| No log | 0.5667 | 34 | 0.4766 | 0.4774 | 0.4766 | 0.6903 |
| No log | 0.6 | 36 | 0.6294 | 0.5069 | 0.6294 | 0.7933 |
| No log | 0.6333 | 38 | 0.5651 | 0.4589 | 0.5651 | 0.7517 |
| No log | 0.6667 | 40 | 0.4463 | 0.5719 | 0.4463 | 0.6681 |
| No log | 0.7 | 42 | 0.5474 | 0.6660 | 0.5474 | 0.7398 |
| No log | 0.7333 | 44 | 0.4794 | 0.6070 | 0.4794 | 0.6924 |
| No log | 0.7667 | 46 | 0.4765 | 0.4928 | 0.4765 | 0.6903 |
| No log | 0.8 | 48 | 0.7770 | 0.4286 | 0.7770 | 0.8815 |
| No log | 0.8333 | 50 | 0.7177 | 0.4382 | 0.7177 | 0.8472 |
| No log | 0.8667 | 52 | 0.4910 | 0.5042 | 0.4910 | 0.7007 |
| No log | 0.9 | 54 | 0.6179 | 0.5624 | 0.6179 | 0.7861 |
| No log | 0.9333 | 56 | 0.5443 | 0.5965 | 0.5443 | 0.7378 |
| No log | 0.9667 | 58 | 0.5999 | 0.4584 | 0.5999 | 0.7745 |
| No log | 1.0 | 60 | 0.9032 | 0.4171 | 0.9032 | 0.9504 |
| No log | 1.0333 | 62 | 1.0239 | 0.2701 | 1.0239 | 1.0119 |
| No log | 1.0667 | 64 | 0.7845 | 0.4382 | 0.7845 | 0.8857 |
| No log | 1.1 | 66 | 0.5105 | 0.4364 | 0.5105 | 0.7145 |
| No log | 1.1333 | 68 | 0.6063 | 0.5931 | 0.6063 | 0.7787 |
| No log | 1.1667 | 70 | 0.6528 | 0.5358 | 0.6528 | 0.8079 |
| No log | 1.2 | 72 | 0.5485 | 0.5802 | 0.5485 | 0.7406 |
| No log | 1.2333 | 74 | 0.5178 | 0.4539 | 0.5178 | 0.7196 |
| No log | 1.2667 | 76 | 0.6926 | 0.3827 | 0.6926 | 0.8322 |
| No log | 1.3 | 78 | 0.7759 | 0.4088 | 0.7759 | 0.8808 |
| No log | 1.3333 | 80 | 0.6952 | 0.4238 | 0.6952 | 0.8338 |
| No log | 1.3667 | 82 | 0.6120 | 0.5152 | 0.6120 | 0.7823 |
| No log | 1.4 | 84 | 0.5489 | 0.5586 | 0.5489 | 0.7409 |
| No log | 1.4333 | 86 | 0.5985 | 0.5772 | 0.5985 | 0.7737 |
| No log | 1.4667 | 88 | 0.6982 | 0.5231 | 0.6982 | 0.8356 |
| No log | 1.5 | 90 | 0.5941 | 0.5036 | 0.5941 | 0.7708 |
| No log | 1.5333 | 92 | 0.5467 | 0.4384 | 0.5467 | 0.7394 |
| No log | 1.5667 | 94 | 0.5604 | 0.4345 | 0.5604 | 0.7486 |
| No log | 1.6 | 96 | 0.5608 | 0.3779 | 0.5608 | 0.7489 |
| No log | 1.6333 | 98 | 0.5230 | 0.4918 | 0.5230 | 0.7232 |
| No log | 1.6667 | 100 | 0.5245 | 0.5555 | 0.5245 | 0.7242 |
| No log | 1.7 | 102 | 0.5121 | 0.5543 | 0.5121 | 0.7156 |
| No log | 1.7333 | 104 | 0.5200 | 0.5758 | 0.5200 | 0.7211 |
| No log | 1.7667 | 106 | 0.5061 | 0.5397 | 0.5061 | 0.7114 |
| No log | 1.8 | 108 | 0.5612 | 0.5212 | 0.5612 | 0.7492 |
| No log | 1.8333 | 110 | 0.6204 | 0.5220 | 0.6204 | 0.7876 |
| No log | 1.8667 | 112 | 0.5734 | 0.5778 | 0.5734 | 0.7573 |
| No log | 1.9 | 114 | 0.5533 | 0.6314 | 0.5533 | 0.7439 |
| No log | 1.9333 | 116 | 0.6051 | 0.5819 | 0.6051 | 0.7779 |
| No log | 1.9667 | 118 | 0.5886 | 0.5675 | 0.5886 | 0.7672 |
| No log | 2.0 | 120 | 0.5254 | 0.6247 | 0.5254 | 0.7248 |
| No log | 2.0333 | 122 | 0.5135 | 0.5797 | 0.5135 | 0.7166 |
| No log | 2.0667 | 124 | 0.5246 | 0.6247 | 0.5246 | 0.7243 |
| No log | 2.1 | 126 | 0.5455 | 0.5836 | 0.5455 | 0.7386 |
| No log | 2.1333 | 128 | 0.5382 | 0.5663 | 0.5382 | 0.7336 |
| No log | 2.1667 | 130 | 0.5348 | 0.5736 | 0.5348 | 0.7313 |
| No log | 2.2 | 132 | 0.4913 | 0.5159 | 0.4913 | 0.7009 |
| No log | 2.2333 | 134 | 0.4889 | 0.5577 | 0.4889 | 0.6992 |
| No log | 2.2667 | 136 | 0.5143 | 0.6034 | 0.5143 | 0.7171 |
| No log | 2.3 | 138 | 0.6536 | 0.4494 | 0.6536 | 0.8084 |
| No log | 2.3333 | 140 | 0.6594 | 0.4890 | 0.6594 | 0.8120 |
| No log | 2.3667 | 142 | 0.5156 | 0.6395 | 0.5156 | 0.7181 |
| No log | 2.4 | 144 | 0.6118 | 0.5739 | 0.6118 | 0.7822 |
| No log | 2.4333 | 146 | 0.6845 | 0.5885 | 0.6845 | 0.8273 |
| No log | 2.4667 | 148 | 0.7649 | 0.5526 | 0.7649 | 0.8746 |
| No log | 2.5 | 150 | 0.6243 | 0.5802 | 0.6243 | 0.7901 |
| No log | 2.5333 | 152 | 0.5238 | 0.4576 | 0.5238 | 0.7237 |
| No log | 2.5667 | 154 | 0.5172 | 0.4918 | 0.5172 | 0.7192 |
| No log | 2.6 | 156 | 0.5310 | 0.4849 | 0.5310 | 0.7287 |
| No log | 2.6333 | 158 | 0.5453 | 0.5098 | 0.5453 | 0.7384 |
| No log | 2.6667 | 160 | 0.5309 | 0.5286 | 0.5309 | 0.7286 |
| No log | 2.7 | 162 | 0.5373 | 0.5655 | 0.5373 | 0.7330 |
| No log | 2.7333 | 164 | 0.5741 | 0.5379 | 0.5741 | 0.7577 |
| No log | 2.7667 | 166 | 0.5036 | 0.5816 | 0.5036 | 0.7097 |
| No log | 2.8 | 168 | 0.4921 | 0.5335 | 0.4921 | 0.7015 |
| No log | 2.8333 | 170 | 0.5240 | 0.6092 | 0.5240 | 0.7239 |
| No log | 2.8667 | 172 | 0.4612 | 0.5523 | 0.4612 | 0.6791 |
| No log | 2.9 | 174 | 0.5436 | 0.5802 | 0.5436 | 0.7373 |
| No log | 2.9333 | 176 | 0.6266 | 0.5139 | 0.6266 | 0.7916 |
| No log | 2.9667 | 178 | 0.5155 | 0.5379 | 0.5155 | 0.7180 |
| No log | 3.0 | 180 | 0.4553 | 0.6339 | 0.4553 | 0.6747 |
| No log | 3.0333 | 182 | 0.4626 | 0.5302 | 0.4626 | 0.6801 |
| No log | 3.0667 | 184 | 0.4704 | 0.6027 | 0.4704 | 0.6859 |
| No log | 3.1 | 186 | 0.4837 | 0.6895 | 0.4837 | 0.6955 |
| No log | 3.1333 | 188 | 0.5225 | 0.6078 | 0.5225 | 0.7228 |
| No log | 3.1667 | 190 | 0.4948 | 0.6329 | 0.4948 | 0.7034 |
| No log | 3.2 | 192 | 0.5000 | 0.5592 | 0.5000 | 0.7071 |
| No log | 3.2333 | 194 | 0.5921 | 0.5595 | 0.5921 | 0.7695 |
| No log | 3.2667 | 196 | 0.5466 | 0.5883 | 0.5466 | 0.7393 |
| No log | 3.3 | 198 | 0.4558 | 0.5335 | 0.4558 | 0.6752 |
| No log | 3.3333 | 200 | 0.4473 | 0.6228 | 0.4473 | 0.6688 |
| No log | 3.3667 | 202 | 0.4703 | 0.6426 | 0.4703 | 0.6858 |
| No log | 3.4 | 204 | 0.4599 | 0.5719 | 0.4599 | 0.6782 |
| No log | 3.4333 | 206 | 0.4677 | 0.4991 | 0.4677 | 0.6839 |
| No log | 3.4667 | 208 | 0.4747 | 0.5195 | 0.4747 | 0.6890 |
| No log | 3.5 | 210 | 0.4834 | 0.4953 | 0.4834 | 0.6953 |
| No log | 3.5333 | 212 | 0.5203 | 0.5516 | 0.5203 | 0.7213 |
| No log | 3.5667 | 214 | 0.5242 | 0.5516 | 0.5242 | 0.7240 |
| No log | 3.6 | 216 | 0.5117 | 0.5362 | 0.5117 | 0.7154 |
| No log | 3.6333 | 218 | 0.4879 | 0.6339 | 0.4879 | 0.6985 |
| No log | 3.6667 | 220 | 0.5162 | 0.5433 | 0.5162 | 0.7184 |
| No log | 3.7 | 222 | 0.5848 | 0.5323 | 0.5848 | 0.7648 |
| No log | 3.7333 | 224 | 0.5864 | 0.5323 | 0.5864 | 0.7658 |
| No log | 3.7667 | 226 | 0.5882 | 0.5323 | 0.5882 | 0.7669 |
| No log | 3.8 | 228 | 0.5128 | 0.5614 | 0.5128 | 0.7161 |
| No log | 3.8333 | 230 | 0.5263 | 0.4832 | 0.5263 | 0.7254 |
| No log | 3.8667 | 232 | 0.6349 | 0.5129 | 0.6349 | 0.7968 |
| No log | 3.9 | 234 | 0.6163 | 0.4904 | 0.6163 | 0.7851 |
| No log | 3.9333 | 236 | 0.5228 | 0.4527 | 0.5228 | 0.7231 |
| No log | 3.9667 | 238 | 0.5641 | 0.5259 | 0.5641 | 0.7511 |
| No log | 4.0 | 240 | 0.6817 | 0.5080 | 0.6817 | 0.8257 |
| No log | 4.0333 | 242 | 0.6740 | 0.5080 | 0.6740 | 0.8210 |
| No log | 4.0667 | 244 | 0.5514 | 0.6261 | 0.5514 | 0.7426 |
| No log | 4.1 | 246 | 0.5288 | 0.5075 | 0.5288 | 0.7272 |
| No log | 4.1333 | 248 | 0.5408 | 0.5110 | 0.5408 | 0.7354 |
| No log | 4.1667 | 250 | 0.5043 | 0.5340 | 0.5043 | 0.7101 |
| No log | 4.2 | 252 | 0.5412 | 0.5786 | 0.5412 | 0.7356 |
| No log | 4.2333 | 254 | 0.6552 | 0.4610 | 0.6552 | 0.8095 |
| No log | 4.2667 | 256 | 0.7766 | 0.5017 | 0.7766 | 0.8812 |
| No log | 4.3 | 258 | 0.6577 | 0.4801 | 0.6577 | 0.8110 |
| No log | 4.3333 | 260 | 0.5405 | 0.4835 | 0.5405 | 0.7352 |
| No log | 4.3667 | 262 | 0.5047 | 0.5698 | 0.5047 | 0.7104 |
| No log | 4.4 | 264 | 0.4839 | 0.6303 | 0.4839 | 0.6957 |
| No log | 4.4333 | 266 | 0.4886 | 0.5580 | 0.4886 | 0.6990 |
| No log | 4.4667 | 268 | 0.5816 | 0.5528 | 0.5816 | 0.7626 |
| No log | 4.5 | 270 | 0.5849 | 0.5599 | 0.5849 | 0.7648 |
| No log | 4.5333 | 272 | 0.5272 | 0.4991 | 0.5272 | 0.7261 |
| No log | 4.5667 | 274 | 0.5721 | 0.4788 | 0.5721 | 0.7564 |
| No log | 4.6 | 276 | 0.6386 | 0.4759 | 0.6386 | 0.7991 |
| No log | 4.6333 | 278 | 0.6346 | 0.4451 | 0.6346 | 0.7966 |
| No log | 4.6667 | 280 | 0.6450 | 0.4451 | 0.6450 | 0.8031 |
| No log | 4.7 | 282 | 0.6267 | 0.4684 | 0.6267 | 0.7916 |
| No log | 4.7333 | 284 | 0.5800 | 0.4707 | 0.5800 | 0.7616 |
| No log | 4.7667 | 286 | 0.5736 | 0.4983 | 0.5736 | 0.7574 |
| No log | 4.8 | 288 | 0.5704 | 0.5151 | 0.5704 | 0.7552 |
| No log | 4.8333 | 290 | 0.5912 | 0.5151 | 0.5912 | 0.7689 |
| No log | 4.8667 | 292 | 0.6440 | 0.4134 | 0.6440 | 0.8025 |
| No log | 4.9 | 294 | 0.6403 | 0.4186 | 0.6403 | 0.8002 |
| No log | 4.9333 | 296 | 0.5678 | 0.5584 | 0.5678 | 0.7535 |
| No log | 4.9667 | 298 | 0.5791 | 0.4770 | 0.5791 | 0.7610 |
| No log | 5.0 | 300 | 0.5728 | 0.4227 | 0.5728 | 0.7569 |
| No log | 5.0333 | 302 | 0.5464 | 0.5584 | 0.5464 | 0.7392 |
| No log | 5.0667 | 304 | 0.5817 | 0.5177 | 0.5817 | 0.7627 |
| No log | 5.1 | 306 | 0.5802 | 0.5177 | 0.5802 | 0.7617 |
| No log | 5.1333 | 308 | 0.5527 | 0.5597 | 0.5527 | 0.7434 |
| No log | 5.1667 | 310 | 0.5341 | 0.5131 | 0.5341 | 0.7308 |
| No log | 5.2 | 312 | 0.5207 | 0.4322 | 0.5207 | 0.7216 |
| No log | 5.2333 | 314 | 0.5308 | 0.4590 | 0.5308 | 0.7286 |
| No log | 5.2667 | 316 | 0.5400 | 0.4717 | 0.5400 | 0.7348 |
| No log | 5.3 | 318 | 0.5205 | 0.4590 | 0.5205 | 0.7215 |
| No log | 5.3333 | 320 | 0.5192 | 0.5396 | 0.5192 | 0.7205 |
| No log | 5.3667 | 322 | 0.5486 | 0.5195 | 0.5486 | 0.7407 |
| No log | 5.4 | 324 | 0.5466 | 0.5195 | 0.5466 | 0.7393 |
| No log | 5.4333 | 326 | 0.5456 | 0.4945 | 0.5456 | 0.7387 |
| No log | 5.4667 | 328 | 0.5234 | 0.5228 | 0.5234 | 0.7235 |
| No log | 5.5 | 330 | 0.4976 | 0.5404 | 0.4976 | 0.7054 |
| No log | 5.5333 | 332 | 0.4881 | 0.6096 | 0.4881 | 0.6986 |
| No log | 5.5667 | 334 | 0.4841 | 0.6431 | 0.4841 | 0.6958 |
| No log | 5.6 | 336 | 0.4811 | 0.6210 | 0.4811 | 0.6936 |
| No log | 5.6333 | 338 | 0.5199 | 0.6084 | 0.5199 | 0.7210 |
| No log | 5.6667 | 340 | 0.5307 | 0.6096 | 0.5307 | 0.7285 |
| No log | 5.7 | 342 | 0.5119 | 0.5893 | 0.5119 | 0.7155 |
| No log | 5.7333 | 344 | 0.4951 | 0.6277 | 0.4951 | 0.7037 |
| No log | 5.7667 | 346 | 0.5493 | 0.6115 | 0.5493 | 0.7411 |
| No log | 5.8 | 348 | 0.5648 | 0.5577 | 0.5648 | 0.7515 |
| No log | 5.8333 | 350 | 0.6046 | 0.5310 | 0.6046 | 0.7776 |
| No log | 5.8667 | 352 | 0.5989 | 0.5310 | 0.5989 | 0.7739 |
| No log | 5.9 | 354 | 0.5327 | 0.5516 | 0.5327 | 0.7299 |
| No log | 5.9333 | 356 | 0.5266 | 0.5614 | 0.5266 | 0.7257 |
| No log | 5.9667 | 358 | 0.5177 | 0.5131 | 0.5177 | 0.7195 |
| No log | 6.0 | 360 | 0.5242 | 0.5939 | 0.5242 | 0.7240 |
| No log | 6.0333 | 362 | 0.5290 | 0.5897 | 0.5290 | 0.7273 |
| No log | 6.0667 | 364 | 0.5082 | 0.5926 | 0.5082 | 0.7129 |
| No log | 6.1 | 366 | 0.4937 | 0.6060 | 0.4937 | 0.7026 |
| No log | 6.1333 | 368 | 0.4828 | 0.6060 | 0.4828 | 0.6948 |
| No log | 6.1667 | 370 | 0.4771 | 0.5750 | 0.4771 | 0.6907 |
| No log | 6.2 | 372 | 0.4769 | 0.5304 | 0.4769 | 0.6906 |
| No log | 6.2333 | 374 | 0.4811 | 0.5505 | 0.4811 | 0.6936 |
| No log | 6.2667 | 376 | 0.5552 | 0.5498 | 0.5552 | 0.7451 |
| No log | 6.3 | 378 | 0.6275 | 0.5773 | 0.6275 | 0.7922 |
| No log | 6.3333 | 380 | 0.5899 | 0.5310 | 0.5899 | 0.7681 |
| No log | 6.3667 | 382 | 0.5022 | 0.5170 | 0.5022 | 0.7087 |
| No log | 6.4 | 384 | 0.4643 | 0.5522 | 0.4643 | 0.6814 |
| No log | 6.4333 | 386 | 0.4639 | 0.5493 | 0.4639 | 0.6811 |
| No log | 6.4667 | 388 | 0.4507 | 0.5714 | 0.4507 | 0.6714 |
| No log | 6.5 | 390 | 0.4686 | 0.5995 | 0.4686 | 0.6846 |
| No log | 6.5333 | 392 | 0.4928 | 0.5947 | 0.4928 | 0.7020 |
| No log | 6.5667 | 394 | 0.4615 | 0.6623 | 0.4615 | 0.6793 |
| No log | 6.6 | 396 | 0.4426 | 0.5999 | 0.4426 | 0.6653 |
| No log | 6.6333 | 398 | 0.5275 | 0.5657 | 0.5275 | 0.7263 |
| No log | 6.6667 | 400 | 0.5776 | 0.5178 | 0.5776 | 0.7600 |
| No log | 6.7 | 402 | 0.5159 | 0.5748 | 0.5159 | 0.7183 |
| No log | 6.7333 | 404 | 0.4468 | 0.5522 | 0.4468 | 0.6684 |
| No log | 6.7667 | 406 | 0.5051 | 0.5831 | 0.5051 | 0.7107 |
| No log | 6.8 | 408 | 0.5587 | 0.5624 | 0.5587 | 0.7475 |
| No log | 6.8333 | 410 | 0.5665 | 0.5067 | 0.5665 | 0.7527 |
| No log | 6.8667 | 412 | 0.5056 | 0.5752 | 0.5056 | 0.7111 |
| No log | 6.9 | 414 | 0.4659 | 0.4768 | 0.4659 | 0.6825 |
| No log | 6.9333 | 416 | 0.4784 | 0.5714 | 0.4784 | 0.6916 |
| No log | 6.9667 | 418 | 0.4702 | 0.5930 | 0.4702 | 0.6857 |
| No log | 7.0 | 420 | 0.4503 | 0.6214 | 0.4503 | 0.6710 |
| No log | 7.0333 | 422 | 0.4949 | 0.5671 | 0.4949 | 0.7035 |
| No log | 7.0667 | 424 | 0.5337 | 0.5882 | 0.5337 | 0.7305 |
| No log | 7.1 | 426 | 0.4766 | 0.5671 | 0.4766 | 0.6904 |
| No log | 7.1333 | 428 | 0.4475 | 0.6214 | 0.4475 | 0.6690 |
| No log | 7.1667 | 430 | 0.4708 | 0.5446 | 0.4708 | 0.6862 |
| No log | 7.2 | 432 | 0.4811 | 0.5110 | 0.4811 | 0.6936 |
| No log | 7.2333 | 434 | 0.4644 | 0.6364 | 0.4644 | 0.6814 |
| No log | 7.2667 | 436 | 0.4609 | 0.6426 | 0.4609 | 0.6789 |
| No log | 7.3 | 438 | 0.4606 | 0.6736 | 0.4606 | 0.6787 |
| No log | 7.3333 | 440 | 0.4637 | 0.6530 | 0.4637 | 0.6809 |
| No log | 7.3667 | 442 | 0.4651 | 0.6530 | 0.4651 | 0.6820 |
| No log | 7.4 | 444 | 0.4685 | 0.5584 | 0.4685 | 0.6845 |
| No log | 7.4333 | 446 | 0.4779 | 0.6186 | 0.4779 | 0.6913 |
| No log | 7.4667 | 448 | 0.4907 | 0.5614 | 0.4907 | 0.7005 |
| No log | 7.5 | 450 | 0.4937 | 0.5614 | 0.4937 | 0.7026 |
| No log | 7.5333 | 452 | 0.4829 | 0.5852 | 0.4829 | 0.6949 |
| No log | 7.5667 | 454 | 0.4782 | 0.5852 | 0.4782 | 0.6915 |
| No log | 7.6 | 456 | 0.4542 | 0.6096 | 0.4542 | 0.6739 |
| No log | 7.6333 | 458 | 0.4524 | 0.5831 | 0.4524 | 0.6726 |
| No log | 7.6667 | 460 | 0.4935 | 0.4977 | 0.4935 | 0.7025 |
| No log | 7.7 | 462 | 0.4981 | 0.4908 | 0.4981 | 0.7058 |
| No log | 7.7333 | 464 | 0.4670 | 0.5831 | 0.4670 | 0.6834 |
| No log | 7.7667 | 466 | 0.4413 | 0.6330 | 0.4413 | 0.6643 |
| No log | 7.8 | 468 | 0.4484 | 0.6317 | 0.4484 | 0.6696 |
| No log | 7.8333 | 470 | 0.4431 | 0.6330 | 0.4431 | 0.6656 |
| No log | 7.8667 | 472 | 0.4467 | 0.6053 | 0.4467 | 0.6684 |
| No log | 7.9 | 474 | 0.4556 | 0.5985 | 0.4556 | 0.6750 |
| No log | 7.9333 | 476 | 0.4731 | 0.6013 | 0.4731 | 0.6878 |
| No log | 7.9667 | 478 | 0.5228 | 0.5178 | 0.5228 | 0.7230 |
| No log | 8.0 | 480 | 0.4875 | 0.5083 | 0.4875 | 0.6982 |
| No log | 8.0333 | 482 | 0.4400 | 0.6255 | 0.4400 | 0.6633 |
| No log | 8.0667 | 484 | 0.4409 | 0.6115 | 0.4409 | 0.6640 |
| No log | 8.1 | 486 | 0.4483 | 0.6201 | 0.4483 | 0.6695 |
| No log | 8.1333 | 488 | 0.4622 | 0.5980 | 0.4622 | 0.6799 |
| No log | 8.1667 | 490 | 0.4548 | 0.6303 | 0.4548 | 0.6744 |
| No log | 8.2 | 492 | 0.4648 | 0.6082 | 0.4648 | 0.6818 |
| No log | 8.2333 | 494 | 0.4714 | 0.6082 | 0.4714 | 0.6866 |
| No log | 8.2667 | 496 | 0.4827 | 0.5786 | 0.4827 | 0.6947 |
| No log | 8.3 | 498 | 0.4749 | 0.6082 | 0.4749 | 0.6891 |
| 0.293 | 8.3333 | 500 | 0.4775 | 0.5648 | 0.4775 | 0.6910 |
| 0.293 | 8.3667 | 502 | 0.4845 | 0.5044 | 0.4845 | 0.6960 |
| 0.293 | 8.4 | 504 | 0.4957 | 0.4561 | 0.4957 | 0.7041 |
| 0.293 | 8.4333 | 506 | 0.4827 | 0.4795 | 0.4827 | 0.6948 |
| 0.293 | 8.4667 | 508 | 0.4622 | 0.5457 | 0.4622 | 0.6799 |
| 0.293 | 8.5 | 510 | 0.4492 | 0.5930 | 0.4492 | 0.6702 |
| 0.293 | 8.5333 | 512 | 0.4740 | 0.5414 | 0.4740 | 0.6884 |
| 0.293 | 8.5667 | 514 | 0.5326 | 0.5247 | 0.5326 | 0.7298 |
| 0.293 | 8.6 | 516 | 0.4920 | 0.5811 | 0.4920 | 0.7015 |
| 0.293 | 8.6333 | 518 | 0.4335 | 0.6330 | 0.4335 | 0.6584 |
| 0.293 | 8.6667 | 520 | 0.5223 | 0.5677 | 0.5223 | 0.7227 |
| 0.293 | 8.7 | 522 | 0.6227 | 0.4644 | 0.6227 | 0.7891 |
| 0.293 | 8.7333 | 524 | 0.5945 | 0.4815 | 0.5945 | 0.7711 |
| 0.293 | 8.7667 | 526 | 0.5778 | 0.5233 | 0.5778 | 0.7602 |
| 0.293 | 8.8 | 528 | 0.5474 | 0.5233 | 0.5474 | 0.7399 |
| 0.293 | 8.8333 | 530 | 0.5049 | 0.4774 | 0.5049 | 0.7106 |
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_OSS_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k12_task7_organization
Base model
aubmindlab/bert-base-arabertv02