Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask7_mechanics
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: 0.5742
- Qwk: 0.5905
- Mse: 0.5742
- Rmse: 0.7577
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 | 0.0202 | 2 | 3.8911 | -0.0083 | 3.8911 | 1.9726 |
| No log | 0.0404 | 4 | 2.8935 | 0.0324 | 2.8935 | 1.7010 |
| No log | 0.0606 | 6 | 1.8160 | 0.0920 | 1.8160 | 1.3476 |
| No log | 0.0808 | 8 | 0.9053 | 0.1535 | 0.9053 | 0.9515 |
| No log | 0.1010 | 10 | 0.8947 | 0.0679 | 0.8947 | 0.9459 |
| No log | 0.1212 | 12 | 1.0524 | 0.0333 | 1.0524 | 1.0259 |
| No log | 0.1414 | 14 | 1.0171 | -0.0014 | 1.0171 | 1.0085 |
| No log | 0.1616 | 16 | 0.9202 | 0.0735 | 0.9202 | 0.9593 |
| No log | 0.1818 | 18 | 0.8181 | 0.1191 | 0.8181 | 0.9045 |
| No log | 0.2020 | 20 | 0.7104 | 0.2245 | 0.7104 | 0.8428 |
| No log | 0.2222 | 22 | 0.6800 | 0.2893 | 0.6800 | 0.8246 |
| No log | 0.2424 | 24 | 0.6951 | 0.2054 | 0.6951 | 0.8337 |
| No log | 0.2626 | 26 | 0.7410 | 0.2246 | 0.7410 | 0.8608 |
| No log | 0.2828 | 28 | 0.6703 | 0.2351 | 0.6703 | 0.8187 |
| No log | 0.3030 | 30 | 0.5821 | 0.4573 | 0.5821 | 0.7630 |
| No log | 0.3232 | 32 | 0.5424 | 0.4721 | 0.5424 | 0.7365 |
| No log | 0.3434 | 34 | 0.5497 | 0.4869 | 0.5497 | 0.7414 |
| No log | 0.3636 | 36 | 0.6582 | 0.3133 | 0.6582 | 0.8113 |
| No log | 0.3838 | 38 | 0.8011 | 0.2414 | 0.8011 | 0.8951 |
| No log | 0.4040 | 40 | 0.8739 | 0.1776 | 0.8739 | 0.9348 |
| No log | 0.4242 | 42 | 0.7984 | 0.2508 | 0.7984 | 0.8935 |
| No log | 0.4444 | 44 | 0.6795 | 0.3023 | 0.6795 | 0.8243 |
| No log | 0.4646 | 46 | 0.6155 | 0.3699 | 0.6155 | 0.7845 |
| No log | 0.4848 | 48 | 0.5150 | 0.4943 | 0.5150 | 0.7176 |
| No log | 0.5051 | 50 | 0.5045 | 0.5077 | 0.5045 | 0.7103 |
| No log | 0.5253 | 52 | 0.5328 | 0.4894 | 0.5328 | 0.7299 |
| No log | 0.5455 | 54 | 0.5815 | 0.4131 | 0.5815 | 0.7625 |
| No log | 0.5657 | 56 | 0.6490 | 0.3603 | 0.6490 | 0.8056 |
| No log | 0.5859 | 58 | 0.5978 | 0.3896 | 0.5978 | 0.7732 |
| No log | 0.6061 | 60 | 0.5587 | 0.4629 | 0.5587 | 0.7475 |
| No log | 0.6263 | 62 | 0.5580 | 0.4663 | 0.5580 | 0.7470 |
| No log | 0.6465 | 64 | 0.5631 | 0.4650 | 0.5631 | 0.7504 |
| No log | 0.6667 | 66 | 0.5805 | 0.4035 | 0.5805 | 0.7619 |
| No log | 0.6869 | 68 | 0.6809 | 0.3120 | 0.6809 | 0.8252 |
| No log | 0.7071 | 70 | 0.9463 | 0.4124 | 0.9463 | 0.9728 |
| No log | 0.7273 | 72 | 1.0101 | 0.4098 | 1.0101 | 1.0050 |
| No log | 0.7475 | 74 | 0.7274 | 0.5092 | 0.7274 | 0.8529 |
| No log | 0.7677 | 76 | 0.5420 | 0.6353 | 0.5420 | 0.7362 |
| No log | 0.7879 | 78 | 0.5591 | 0.6416 | 0.5591 | 0.7478 |
| No log | 0.8081 | 80 | 0.5488 | 0.6109 | 0.5488 | 0.7408 |
| No log | 0.8283 | 82 | 0.6354 | 0.5505 | 0.6354 | 0.7971 |
| No log | 0.8485 | 84 | 0.6254 | 0.5397 | 0.6254 | 0.7908 |
| No log | 0.8687 | 86 | 0.5170 | 0.5965 | 0.5170 | 0.7190 |
| No log | 0.8889 | 88 | 0.4638 | 0.5707 | 0.4638 | 0.6810 |
| No log | 0.9091 | 90 | 0.4649 | 0.6154 | 0.4649 | 0.6819 |
| No log | 0.9293 | 92 | 0.5358 | 0.6017 | 0.5358 | 0.7320 |
| No log | 0.9495 | 94 | 0.6444 | 0.5333 | 0.6444 | 0.8028 |
| No log | 0.9697 | 96 | 0.6537 | 0.5423 | 0.6537 | 0.8085 |
| No log | 0.9899 | 98 | 0.5787 | 0.5706 | 0.5787 | 0.7607 |
| No log | 1.0101 | 100 | 0.5901 | 0.5771 | 0.5901 | 0.7682 |
| No log | 1.0303 | 102 | 0.5715 | 0.5770 | 0.5715 | 0.7560 |
| No log | 1.0505 | 104 | 0.5373 | 0.5917 | 0.5373 | 0.7330 |
| No log | 1.0707 | 106 | 0.5274 | 0.5851 | 0.5274 | 0.7262 |
| No log | 1.0909 | 108 | 0.5510 | 0.5840 | 0.5510 | 0.7423 |
| No log | 1.1111 | 110 | 0.6367 | 0.5413 | 0.6367 | 0.7980 |
| No log | 1.1313 | 112 | 0.8808 | 0.4583 | 0.8808 | 0.9385 |
| No log | 1.1515 | 114 | 0.8529 | 0.4862 | 0.8529 | 0.9235 |
| No log | 1.1717 | 116 | 0.6515 | 0.5179 | 0.6515 | 0.8072 |
| No log | 1.1919 | 118 | 0.5422 | 0.6252 | 0.5422 | 0.7364 |
| No log | 1.2121 | 120 | 0.5245 | 0.6421 | 0.5245 | 0.7242 |
| No log | 1.2323 | 122 | 0.5666 | 0.5950 | 0.5666 | 0.7527 |
| No log | 1.2525 | 124 | 0.6857 | 0.5105 | 0.6857 | 0.8281 |
| No log | 1.2727 | 126 | 0.6104 | 0.5345 | 0.6104 | 0.7812 |
| No log | 1.2929 | 128 | 0.4572 | 0.5587 | 0.4572 | 0.6761 |
| No log | 1.3131 | 130 | 0.4437 | 0.4929 | 0.4437 | 0.6661 |
| No log | 1.3333 | 132 | 0.5135 | 0.5268 | 0.5135 | 0.7166 |
| No log | 1.3535 | 134 | 0.7553 | 0.3251 | 0.7553 | 0.8691 |
| No log | 1.3737 | 136 | 0.8406 | 0.2027 | 0.8406 | 0.9169 |
| No log | 1.3939 | 138 | 0.6475 | 0.4249 | 0.6475 | 0.8047 |
| No log | 1.4141 | 140 | 0.4871 | 0.5598 | 0.4871 | 0.6979 |
| No log | 1.4343 | 142 | 0.4305 | 0.5862 | 0.4305 | 0.6561 |
| No log | 1.4545 | 144 | 0.4292 | 0.6449 | 0.4292 | 0.6551 |
| No log | 1.4747 | 146 | 0.4542 | 0.6610 | 0.4542 | 0.6740 |
| No log | 1.4949 | 148 | 0.5735 | 0.6110 | 0.5735 | 0.7573 |
| No log | 1.5152 | 150 | 0.7459 | 0.4839 | 0.7459 | 0.8637 |
| No log | 1.5354 | 152 | 0.8623 | 0.4414 | 0.8623 | 0.9286 |
| No log | 1.5556 | 154 | 0.8020 | 0.4474 | 0.8020 | 0.8955 |
| No log | 1.5758 | 156 | 0.6764 | 0.5211 | 0.6764 | 0.8224 |
| No log | 1.5960 | 158 | 0.5846 | 0.5645 | 0.5846 | 0.7646 |
| No log | 1.6162 | 160 | 0.5796 | 0.5812 | 0.5796 | 0.7613 |
| No log | 1.6364 | 162 | 0.6681 | 0.5376 | 0.6681 | 0.8174 |
| No log | 1.6566 | 164 | 0.7081 | 0.5564 | 0.7081 | 0.8415 |
| No log | 1.6768 | 166 | 0.6211 | 0.5960 | 0.6211 | 0.7881 |
| No log | 1.6970 | 168 | 0.5591 | 0.6352 | 0.5591 | 0.7477 |
| No log | 1.7172 | 170 | 0.5665 | 0.6297 | 0.5665 | 0.7526 |
| No log | 1.7374 | 172 | 0.6344 | 0.5639 | 0.6344 | 0.7965 |
| No log | 1.7576 | 174 | 0.7950 | 0.4759 | 0.7950 | 0.8916 |
| No log | 1.7778 | 176 | 0.8250 | 0.4559 | 0.8250 | 0.9083 |
| No log | 1.7980 | 178 | 0.7743 | 0.4613 | 0.7743 | 0.8800 |
| No log | 1.8182 | 180 | 0.6349 | 0.4944 | 0.6349 | 0.7968 |
| No log | 1.8384 | 182 | 0.5440 | 0.4739 | 0.5440 | 0.7375 |
| No log | 1.8586 | 184 | 0.5432 | 0.4733 | 0.5432 | 0.7370 |
| No log | 1.8788 | 186 | 0.5852 | 0.5124 | 0.5852 | 0.7650 |
| No log | 1.8990 | 188 | 0.5750 | 0.4871 | 0.5750 | 0.7583 |
| No log | 1.9192 | 190 | 0.5273 | 0.5341 | 0.5273 | 0.7262 |
| No log | 1.9394 | 192 | 0.4639 | 0.5825 | 0.4639 | 0.6811 |
| No log | 1.9596 | 194 | 0.4854 | 0.5901 | 0.4854 | 0.6967 |
| No log | 1.9798 | 196 | 0.4820 | 0.5836 | 0.4820 | 0.6943 |
| No log | 2.0 | 198 | 0.4725 | 0.6115 | 0.4725 | 0.6874 |
| No log | 2.0202 | 200 | 0.7666 | 0.5057 | 0.7666 | 0.8756 |
| No log | 2.0404 | 202 | 1.0847 | 0.4023 | 1.0847 | 1.0415 |
| No log | 2.0606 | 204 | 0.9921 | 0.4220 | 0.9921 | 0.9960 |
| No log | 2.0808 | 206 | 0.6711 | 0.5046 | 0.6711 | 0.8192 |
| No log | 2.1010 | 208 | 0.5332 | 0.5696 | 0.5332 | 0.7302 |
| No log | 2.1212 | 210 | 0.5174 | 0.5463 | 0.5174 | 0.7193 |
| No log | 2.1414 | 212 | 0.5813 | 0.5229 | 0.5813 | 0.7624 |
| No log | 2.1616 | 214 | 0.6729 | 0.4519 | 0.6729 | 0.8203 |
| No log | 2.1818 | 216 | 0.6477 | 0.5026 | 0.6477 | 0.8048 |
| No log | 2.2020 | 218 | 0.6077 | 0.5727 | 0.6077 | 0.7795 |
| No log | 2.2222 | 220 | 0.6662 | 0.5176 | 0.6662 | 0.8162 |
| No log | 2.2424 | 222 | 0.7300 | 0.5412 | 0.7300 | 0.8544 |
| No log | 2.2626 | 224 | 0.6981 | 0.5674 | 0.6981 | 0.8355 |
| No log | 2.2828 | 226 | 0.5211 | 0.6425 | 0.5211 | 0.7219 |
| No log | 2.3030 | 228 | 0.5111 | 0.6678 | 0.5111 | 0.7149 |
| No log | 2.3232 | 230 | 0.4919 | 0.7057 | 0.4919 | 0.7014 |
| No log | 2.3434 | 232 | 0.5580 | 0.6456 | 0.5580 | 0.7470 |
| No log | 2.3636 | 234 | 0.8002 | 0.5741 | 0.8002 | 0.8946 |
| No log | 2.3838 | 236 | 1.0304 | 0.4433 | 1.0304 | 1.0151 |
| No log | 2.4040 | 238 | 0.9678 | 0.4691 | 0.9678 | 0.9838 |
| No log | 2.4242 | 240 | 0.6268 | 0.5459 | 0.6268 | 0.7917 |
| No log | 2.4444 | 242 | 0.4423 | 0.6824 | 0.4423 | 0.6650 |
| No log | 2.4646 | 244 | 0.4350 | 0.6693 | 0.4350 | 0.6595 |
| No log | 2.4848 | 246 | 0.5610 | 0.6180 | 0.5610 | 0.7490 |
| No log | 2.5051 | 248 | 0.7365 | 0.5476 | 0.7365 | 0.8582 |
| No log | 2.5253 | 250 | 0.7416 | 0.5416 | 0.7416 | 0.8612 |
| No log | 2.5455 | 252 | 0.5160 | 0.6238 | 0.5160 | 0.7184 |
| No log | 2.5657 | 254 | 0.4587 | 0.6481 | 0.4587 | 0.6773 |
| No log | 2.5859 | 256 | 0.4959 | 0.6436 | 0.4959 | 0.7042 |
| No log | 2.6061 | 258 | 0.6363 | 0.5550 | 0.6363 | 0.7977 |
| No log | 2.6263 | 260 | 0.8538 | 0.5039 | 0.8538 | 0.9240 |
| No log | 2.6465 | 262 | 0.7857 | 0.5397 | 0.7857 | 0.8864 |
| No log | 2.6667 | 264 | 0.6574 | 0.5806 | 0.6574 | 0.8108 |
| No log | 2.6869 | 266 | 0.5045 | 0.6602 | 0.5045 | 0.7103 |
| No log | 2.7071 | 268 | 0.4740 | 0.6869 | 0.4740 | 0.6884 |
| No log | 2.7273 | 270 | 0.4472 | 0.6752 | 0.4472 | 0.6687 |
| No log | 2.7475 | 272 | 0.4099 | 0.7140 | 0.4099 | 0.6402 |
| No log | 2.7677 | 274 | 0.4134 | 0.7107 | 0.4134 | 0.6430 |
| No log | 2.7879 | 276 | 0.4076 | 0.7024 | 0.4076 | 0.6384 |
| No log | 2.8081 | 278 | 0.5083 | 0.6302 | 0.5083 | 0.7129 |
| No log | 2.8283 | 280 | 0.5772 | 0.6007 | 0.5772 | 0.7597 |
| No log | 2.8485 | 282 | 0.5910 | 0.5727 | 0.5910 | 0.7688 |
| No log | 2.8687 | 284 | 0.5044 | 0.6037 | 0.5044 | 0.7102 |
| No log | 2.8889 | 286 | 0.5000 | 0.5586 | 0.5000 | 0.7071 |
| No log | 2.9091 | 288 | 0.5470 | 0.5604 | 0.5470 | 0.7396 |
| No log | 2.9293 | 290 | 0.5830 | 0.5469 | 0.5830 | 0.7636 |
| No log | 2.9495 | 292 | 0.6060 | 0.5416 | 0.6060 | 0.7784 |
| No log | 2.9697 | 294 | 0.4979 | 0.5963 | 0.4979 | 0.7056 |
| No log | 2.9899 | 296 | 0.4867 | 0.6371 | 0.4867 | 0.6976 |
| No log | 3.0101 | 298 | 0.4305 | 0.6746 | 0.4305 | 0.6562 |
| No log | 3.0303 | 300 | 0.4436 | 0.6823 | 0.4436 | 0.6660 |
| No log | 3.0505 | 302 | 0.6525 | 0.6001 | 0.6525 | 0.8078 |
| No log | 3.0707 | 304 | 0.9932 | 0.4911 | 0.9932 | 0.9966 |
| No log | 3.0909 | 306 | 1.0557 | 0.4701 | 1.0557 | 1.0275 |
| No log | 3.1111 | 308 | 0.7505 | 0.5695 | 0.7505 | 0.8663 |
| No log | 3.1313 | 310 | 0.4175 | 0.6856 | 0.4175 | 0.6461 |
| No log | 3.1515 | 312 | 0.4003 | 0.6911 | 0.4003 | 0.6327 |
| No log | 3.1717 | 314 | 0.3913 | 0.6943 | 0.3913 | 0.6255 |
| No log | 3.1919 | 316 | 0.3964 | 0.6789 | 0.3964 | 0.6296 |
| No log | 3.2121 | 318 | 0.6276 | 0.5817 | 0.6276 | 0.7922 |
| No log | 3.2323 | 320 | 1.0910 | 0.4483 | 1.0910 | 1.0445 |
| No log | 3.2525 | 322 | 1.1582 | 0.4328 | 1.1582 | 1.0762 |
| No log | 3.2727 | 324 | 0.8391 | 0.5013 | 0.8391 | 0.9160 |
| No log | 3.2929 | 326 | 0.4624 | 0.6184 | 0.4624 | 0.6800 |
| No log | 3.3131 | 328 | 0.4318 | 0.6610 | 0.4318 | 0.6571 |
| No log | 3.3333 | 330 | 0.4743 | 0.6269 | 0.4743 | 0.6887 |
| No log | 3.3535 | 332 | 0.4093 | 0.6516 | 0.4093 | 0.6398 |
| No log | 3.3737 | 334 | 0.4917 | 0.5751 | 0.4917 | 0.7012 |
| No log | 3.3939 | 336 | 0.7217 | 0.5027 | 0.7217 | 0.8495 |
| No log | 3.4141 | 338 | 0.8588 | 0.4899 | 0.8588 | 0.9267 |
| No log | 3.4343 | 340 | 0.7535 | 0.5488 | 0.7535 | 0.8680 |
| No log | 3.4545 | 342 | 0.6685 | 0.6098 | 0.6685 | 0.8176 |
| No log | 3.4747 | 344 | 0.5719 | 0.6423 | 0.5719 | 0.7562 |
| No log | 3.4949 | 346 | 0.5125 | 0.6785 | 0.5125 | 0.7159 |
| No log | 3.5152 | 348 | 0.5430 | 0.6749 | 0.5430 | 0.7369 |
| No log | 3.5354 | 350 | 0.7452 | 0.6050 | 0.7452 | 0.8632 |
| No log | 3.5556 | 352 | 0.9571 | 0.5011 | 0.9571 | 0.9783 |
| No log | 3.5758 | 354 | 0.9427 | 0.4891 | 0.9427 | 0.9709 |
| No log | 3.5960 | 356 | 0.8397 | 0.4859 | 0.8397 | 0.9163 |
| No log | 3.6162 | 358 | 0.8448 | 0.4924 | 0.8448 | 0.9191 |
| No log | 3.6364 | 360 | 0.7249 | 0.5447 | 0.7249 | 0.8514 |
| No log | 3.6566 | 362 | 0.6795 | 0.5426 | 0.6795 | 0.8243 |
| No log | 3.6768 | 364 | 0.7630 | 0.5100 | 0.7630 | 0.8735 |
| No log | 3.6970 | 366 | 0.7194 | 0.5078 | 0.7194 | 0.8482 |
| No log | 3.7172 | 368 | 0.6375 | 0.5309 | 0.6375 | 0.7984 |
| No log | 3.7374 | 370 | 0.5940 | 0.5554 | 0.5940 | 0.7707 |
| No log | 3.7576 | 372 | 0.5047 | 0.6293 | 0.5047 | 0.7104 |
| No log | 3.7778 | 374 | 0.5185 | 0.6263 | 0.5185 | 0.7201 |
| No log | 3.7980 | 376 | 0.6887 | 0.5599 | 0.6887 | 0.8299 |
| No log | 3.8182 | 378 | 0.6907 | 0.5730 | 0.6907 | 0.8311 |
| No log | 3.8384 | 380 | 0.6438 | 0.6017 | 0.6438 | 0.8024 |
| No log | 3.8586 | 382 | 0.5749 | 0.6356 | 0.5749 | 0.7582 |
| No log | 3.8788 | 384 | 0.7188 | 0.5636 | 0.7188 | 0.8478 |
| No log | 3.8990 | 386 | 0.7382 | 0.5498 | 0.7382 | 0.8592 |
| No log | 3.9192 | 388 | 0.6242 | 0.5713 | 0.6242 | 0.7901 |
| No log | 3.9394 | 390 | 0.5731 | 0.5657 | 0.5731 | 0.7570 |
| No log | 3.9596 | 392 | 0.5608 | 0.5793 | 0.5608 | 0.7489 |
| No log | 3.9798 | 394 | 0.4890 | 0.6103 | 0.4890 | 0.6993 |
| No log | 4.0 | 396 | 0.5903 | 0.5759 | 0.5903 | 0.7683 |
| No log | 4.0202 | 398 | 0.6723 | 0.5432 | 0.6723 | 0.8199 |
| No log | 4.0404 | 400 | 0.6604 | 0.5569 | 0.6604 | 0.8127 |
| No log | 4.0606 | 402 | 0.5130 | 0.6122 | 0.5130 | 0.7163 |
| No log | 4.0808 | 404 | 0.4968 | 0.6248 | 0.4968 | 0.7049 |
| No log | 4.1010 | 406 | 0.5014 | 0.6510 | 0.5014 | 0.7081 |
| No log | 4.1212 | 408 | 0.5714 | 0.6232 | 0.5714 | 0.7559 |
| No log | 4.1414 | 410 | 0.7158 | 0.5741 | 0.7158 | 0.8460 |
| No log | 4.1616 | 412 | 0.7092 | 0.6024 | 0.7092 | 0.8421 |
| No log | 4.1818 | 414 | 0.5858 | 0.6321 | 0.5858 | 0.7654 |
| No log | 4.2020 | 416 | 0.4986 | 0.6110 | 0.4986 | 0.7061 |
| No log | 4.2222 | 418 | 0.5137 | 0.6031 | 0.5137 | 0.7167 |
| No log | 4.2424 | 420 | 0.8278 | 0.4931 | 0.8278 | 0.9098 |
| No log | 4.2626 | 422 | 1.0591 | 0.4488 | 1.0591 | 1.0291 |
| No log | 4.2828 | 424 | 0.8933 | 0.4894 | 0.8933 | 0.9452 |
| No log | 4.3030 | 426 | 0.6413 | 0.5804 | 0.6413 | 0.8008 |
| No log | 4.3232 | 428 | 0.4917 | 0.5862 | 0.4917 | 0.7012 |
| No log | 4.3434 | 430 | 0.5261 | 0.5963 | 0.5261 | 0.7254 |
| No log | 4.3636 | 432 | 0.6300 | 0.5777 | 0.6300 | 0.7937 |
| No log | 4.3838 | 434 | 0.8186 | 0.5136 | 0.8186 | 0.9047 |
| No log | 4.4040 | 436 | 0.7317 | 0.5456 | 0.7317 | 0.8554 |
| No log | 4.4242 | 438 | 0.6869 | 0.5750 | 0.6869 | 0.8288 |
| No log | 4.4444 | 440 | 0.7405 | 0.5476 | 0.7405 | 0.8605 |
| No log | 4.4646 | 442 | 0.6675 | 0.5849 | 0.6675 | 0.8170 |
| No log | 4.4848 | 444 | 0.4827 | 0.6538 | 0.4827 | 0.6948 |
| No log | 4.5051 | 446 | 0.4742 | 0.6537 | 0.4742 | 0.6886 |
| No log | 4.5253 | 448 | 0.6462 | 0.6299 | 0.6462 | 0.8039 |
| No log | 4.5455 | 450 | 0.9154 | 0.5370 | 0.9154 | 0.9567 |
| No log | 4.5657 | 452 | 0.8375 | 0.5508 | 0.8375 | 0.9151 |
| No log | 4.5859 | 454 | 0.6039 | 0.6003 | 0.6039 | 0.7771 |
| No log | 4.6061 | 456 | 0.5956 | 0.5978 | 0.5956 | 0.7718 |
| No log | 4.6263 | 458 | 0.5030 | 0.6124 | 0.5030 | 0.7092 |
| No log | 4.6465 | 460 | 0.5504 | 0.6263 | 0.5504 | 0.7419 |
| No log | 4.6667 | 462 | 0.7214 | 0.5718 | 0.7214 | 0.8493 |
| No log | 4.6869 | 464 | 0.7414 | 0.5916 | 0.7414 | 0.8610 |
| No log | 4.7071 | 466 | 0.8637 | 0.5338 | 0.8637 | 0.9293 |
| No log | 4.7273 | 468 | 0.7630 | 0.5528 | 0.7630 | 0.8735 |
| No log | 4.7475 | 470 | 0.6515 | 0.6098 | 0.6515 | 0.8071 |
| No log | 4.7677 | 472 | 0.7804 | 0.5213 | 0.7804 | 0.8834 |
| No log | 4.7879 | 474 | 0.9885 | 0.4777 | 0.9885 | 0.9942 |
| No log | 4.8081 | 476 | 0.8272 | 0.5441 | 0.8272 | 0.9095 |
| No log | 4.8283 | 478 | 0.5013 | 0.6576 | 0.5013 | 0.7080 |
| No log | 4.8485 | 480 | 0.4621 | 0.6787 | 0.4621 | 0.6798 |
| No log | 4.8687 | 482 | 0.5100 | 0.6167 | 0.5100 | 0.7141 |
| No log | 4.8889 | 484 | 0.6163 | 0.5502 | 0.6163 | 0.7850 |
| No log | 4.9091 | 486 | 0.6764 | 0.5201 | 0.6764 | 0.8225 |
| No log | 4.9293 | 488 | 0.6801 | 0.5121 | 0.6801 | 0.8247 |
| No log | 4.9495 | 490 | 0.5296 | 0.6152 | 0.5296 | 0.7278 |
| No log | 4.9697 | 492 | 0.5036 | 0.6660 | 0.5036 | 0.7096 |
| No log | 4.9899 | 494 | 0.6369 | 0.5971 | 0.6369 | 0.7980 |
| No log | 5.0101 | 496 | 0.7071 | 0.5904 | 0.7071 | 0.8409 |
| No log | 5.0303 | 498 | 0.5989 | 0.6352 | 0.5989 | 0.7739 |
| 0.5083 | 5.0505 | 500 | 0.5872 | 0.6410 | 0.5872 | 0.7663 |
| 0.5083 | 5.0707 | 502 | 0.6633 | 0.5896 | 0.6633 | 0.8145 |
| 0.5083 | 5.0909 | 504 | 0.6894 | 0.5394 | 0.6894 | 0.8303 |
| 0.5083 | 5.1111 | 506 | 0.6542 | 0.5537 | 0.6542 | 0.8088 |
| 0.5083 | 5.1313 | 508 | 0.6052 | 0.5756 | 0.6052 | 0.7779 |
| 0.5083 | 5.1515 | 510 | 0.5742 | 0.5905 | 0.5742 | 0.7577 |
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/Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask7_mechanics
Base model
aubmindlab/bert-base-arabertv02