Arabic_CrossPrompt_FineTuningAraBERT_noAug_TestTask2_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: 0.5944
- Qwk: 0.6687
- Mse: 0.5944
- Rmse: 0.7710
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 | 0.0213 | 2 | 2.9795 | 0.0430 | 2.9795 | 1.7261 |
| No log | 0.0426 | 4 | 1.4708 | 0.2522 | 1.4708 | 1.2128 |
| No log | 0.0638 | 6 | 1.0064 | 0.2618 | 1.0064 | 1.0032 |
| No log | 0.0851 | 8 | 1.2904 | 0.1202 | 1.2904 | 1.1360 |
| No log | 0.1064 | 10 | 1.2330 | 0.0637 | 1.2330 | 1.1104 |
| No log | 0.1277 | 12 | 1.5751 | 0.1702 | 1.5751 | 1.2550 |
| No log | 0.1489 | 14 | 1.1905 | 0.2331 | 1.1905 | 1.0911 |
| No log | 0.1702 | 16 | 0.9164 | 0.3593 | 0.9164 | 0.9573 |
| No log | 0.1915 | 18 | 0.9250 | 0.3366 | 0.9250 | 0.9618 |
| No log | 0.2128 | 20 | 0.9043 | 0.3628 | 0.9043 | 0.9509 |
| No log | 0.2340 | 22 | 0.9070 | 0.3449 | 0.9070 | 0.9524 |
| No log | 0.2553 | 24 | 0.8852 | 0.3664 | 0.8852 | 0.9408 |
| No log | 0.2766 | 26 | 0.9674 | 0.3085 | 0.9674 | 0.9835 |
| No log | 0.2979 | 28 | 0.8407 | 0.4256 | 0.8407 | 0.9169 |
| No log | 0.3191 | 30 | 0.8122 | 0.4854 | 0.8122 | 0.9012 |
| No log | 0.3404 | 32 | 0.7604 | 0.4958 | 0.7604 | 0.8720 |
| No log | 0.3617 | 34 | 0.9329 | 0.4156 | 0.9329 | 0.9658 |
| No log | 0.3830 | 36 | 1.2650 | 0.3276 | 1.2650 | 1.1247 |
| No log | 0.4043 | 38 | 1.1839 | 0.3290 | 1.1839 | 1.0881 |
| No log | 0.4255 | 40 | 0.8910 | 0.3968 | 0.8910 | 0.9439 |
| No log | 0.4468 | 42 | 0.7932 | 0.4888 | 0.7932 | 0.8906 |
| No log | 0.4681 | 44 | 0.8132 | 0.4130 | 0.8132 | 0.9018 |
| No log | 0.4894 | 46 | 0.8004 | 0.4072 | 0.8004 | 0.8947 |
| No log | 0.5106 | 48 | 0.7953 | 0.4318 | 0.7953 | 0.8918 |
| No log | 0.5319 | 50 | 0.7835 | 0.4540 | 0.7835 | 0.8852 |
| No log | 0.5532 | 52 | 0.7898 | 0.5115 | 0.7898 | 0.8887 |
| No log | 0.5745 | 54 | 0.7927 | 0.5722 | 0.7927 | 0.8904 |
| No log | 0.5957 | 56 | 0.8246 | 0.5874 | 0.8246 | 0.9081 |
| No log | 0.6170 | 58 | 0.7815 | 0.6092 | 0.7815 | 0.8840 |
| No log | 0.6383 | 60 | 0.7768 | 0.5905 | 0.7768 | 0.8814 |
| No log | 0.6596 | 62 | 0.8028 | 0.5827 | 0.8028 | 0.8960 |
| No log | 0.6809 | 64 | 0.7882 | 0.5883 | 0.7882 | 0.8878 |
| No log | 0.7021 | 66 | 0.7194 | 0.5740 | 0.7194 | 0.8481 |
| No log | 0.7234 | 68 | 0.6851 | 0.6425 | 0.6851 | 0.8277 |
| No log | 0.7447 | 70 | 0.6723 | 0.6335 | 0.6723 | 0.8200 |
| No log | 0.7660 | 72 | 0.7085 | 0.6214 | 0.7085 | 0.8417 |
| No log | 0.7872 | 74 | 0.7907 | 0.5905 | 0.7907 | 0.8892 |
| No log | 0.8085 | 76 | 0.9169 | 0.5446 | 0.9169 | 0.9576 |
| No log | 0.8298 | 78 | 1.1575 | 0.4144 | 1.1575 | 1.0759 |
| No log | 0.8511 | 80 | 1.3266 | 0.3259 | 1.3266 | 1.1518 |
| No log | 0.8723 | 82 | 1.2883 | 0.4161 | 1.2883 | 1.1351 |
| No log | 0.8936 | 84 | 0.8524 | 0.6100 | 0.8524 | 0.9233 |
| No log | 0.9149 | 86 | 0.6729 | 0.6021 | 0.6729 | 0.8203 |
| No log | 0.9362 | 88 | 0.7719 | 0.5333 | 0.7719 | 0.8786 |
| No log | 0.9574 | 90 | 0.6814 | 0.5844 | 0.6814 | 0.8254 |
| No log | 0.9787 | 92 | 0.7899 | 0.5289 | 0.7899 | 0.8887 |
| No log | 1.0 | 94 | 0.9546 | 0.5193 | 0.9546 | 0.9770 |
| No log | 1.0213 | 96 | 0.8140 | 0.5663 | 0.8140 | 0.9022 |
| No log | 1.0426 | 98 | 0.6093 | 0.5942 | 0.6093 | 0.7806 |
| No log | 1.0638 | 100 | 0.7174 | 0.5856 | 0.7174 | 0.8470 |
| No log | 1.0851 | 102 | 0.7791 | 0.5663 | 0.7791 | 0.8827 |
| No log | 1.1064 | 104 | 0.6486 | 0.6128 | 0.6486 | 0.8053 |
| No log | 1.1277 | 106 | 0.6603 | 0.6388 | 0.6603 | 0.8126 |
| No log | 1.1489 | 108 | 0.8010 | 0.5604 | 0.8010 | 0.8950 |
| No log | 1.1702 | 110 | 0.7512 | 0.5718 | 0.7512 | 0.8667 |
| No log | 1.1915 | 112 | 0.6331 | 0.5998 | 0.6331 | 0.7957 |
| No log | 1.2128 | 114 | 0.6389 | 0.5847 | 0.6389 | 0.7993 |
| No log | 1.2340 | 116 | 0.6505 | 0.5757 | 0.6505 | 0.8066 |
| No log | 1.2553 | 118 | 0.6267 | 0.5984 | 0.6267 | 0.7916 |
| No log | 1.2766 | 120 | 0.6744 | 0.6024 | 0.6744 | 0.8212 |
| No log | 1.2979 | 122 | 0.7847 | 0.4918 | 0.7847 | 0.8858 |
| No log | 1.3191 | 124 | 0.9194 | 0.4738 | 0.9194 | 0.9589 |
| No log | 1.3404 | 126 | 0.8439 | 0.4772 | 0.8439 | 0.9186 |
| No log | 1.3617 | 128 | 0.6659 | 0.5993 | 0.6659 | 0.8160 |
| No log | 1.3830 | 130 | 0.6322 | 0.6355 | 0.6322 | 0.7951 |
| No log | 1.4043 | 132 | 0.6250 | 0.6399 | 0.6250 | 0.7906 |
| No log | 1.4255 | 134 | 0.6122 | 0.6662 | 0.6122 | 0.7824 |
| No log | 1.4468 | 136 | 0.6426 | 0.6675 | 0.6426 | 0.8016 |
| No log | 1.4681 | 138 | 0.6597 | 0.6588 | 0.6597 | 0.8122 |
| No log | 1.4894 | 140 | 0.6621 | 0.6217 | 0.6621 | 0.8137 |
| No log | 1.5106 | 142 | 0.6481 | 0.6325 | 0.6481 | 0.8051 |
| No log | 1.5319 | 144 | 0.5860 | 0.6642 | 0.5860 | 0.7655 |
| No log | 1.5532 | 146 | 0.5880 | 0.6660 | 0.5880 | 0.7668 |
| No log | 1.5745 | 148 | 0.6085 | 0.6572 | 0.6085 | 0.7800 |
| No log | 1.5957 | 150 | 0.7136 | 0.6585 | 0.7136 | 0.8448 |
| No log | 1.6170 | 152 | 0.9794 | 0.5218 | 0.9794 | 0.9896 |
| No log | 1.6383 | 154 | 1.1605 | 0.4894 | 1.1605 | 1.0773 |
| No log | 1.6596 | 156 | 0.9892 | 0.5423 | 0.9892 | 0.9946 |
| No log | 1.6809 | 158 | 0.7404 | 0.6536 | 0.7404 | 0.8605 |
| No log | 1.7021 | 160 | 0.6037 | 0.7030 | 0.6037 | 0.7770 |
| No log | 1.7234 | 162 | 0.5954 | 0.6706 | 0.5954 | 0.7716 |
| No log | 1.7447 | 164 | 0.6004 | 0.6773 | 0.6004 | 0.7748 |
| No log | 1.7660 | 166 | 0.6691 | 0.6691 | 0.6691 | 0.8180 |
| No log | 1.7872 | 168 | 0.6828 | 0.6714 | 0.6828 | 0.8263 |
| No log | 1.8085 | 170 | 0.6503 | 0.6577 | 0.6503 | 0.8064 |
| No log | 1.8298 | 172 | 0.5978 | 0.6594 | 0.5978 | 0.7731 |
| No log | 1.8511 | 174 | 0.5696 | 0.6797 | 0.5696 | 0.7547 |
| No log | 1.8723 | 176 | 0.6067 | 0.6412 | 0.6067 | 0.7789 |
| No log | 1.8936 | 178 | 0.8842 | 0.5464 | 0.8842 | 0.9403 |
| No log | 1.9149 | 180 | 1.2835 | 0.4245 | 1.2835 | 1.1329 |
| No log | 1.9362 | 182 | 1.2030 | 0.4692 | 1.2030 | 1.0968 |
| No log | 1.9574 | 184 | 0.7730 | 0.5898 | 0.7730 | 0.8792 |
| No log | 1.9787 | 186 | 0.7789 | 0.5316 | 0.7789 | 0.8826 |
| No log | 2.0 | 188 | 0.7883 | 0.5404 | 0.7883 | 0.8879 |
| No log | 2.0213 | 190 | 0.6419 | 0.6292 | 0.6419 | 0.8012 |
| No log | 2.0426 | 192 | 0.8288 | 0.5825 | 0.8288 | 0.9104 |
| No log | 2.0638 | 194 | 0.8930 | 0.5628 | 0.8930 | 0.9450 |
| No log | 2.0851 | 196 | 0.7060 | 0.6324 | 0.7060 | 0.8402 |
| No log | 2.1064 | 198 | 0.5885 | 0.7172 | 0.5885 | 0.7672 |
| No log | 2.1277 | 200 | 0.5811 | 0.6853 | 0.5811 | 0.7623 |
| No log | 2.1489 | 202 | 0.5833 | 0.6538 | 0.5833 | 0.7638 |
| No log | 2.1702 | 204 | 0.5530 | 0.6438 | 0.5530 | 0.7436 |
| No log | 2.1915 | 206 | 0.5884 | 0.6686 | 0.5884 | 0.7671 |
| No log | 2.2128 | 208 | 0.8139 | 0.5603 | 0.8139 | 0.9021 |
| No log | 2.2340 | 210 | 1.1550 | 0.4702 | 1.1550 | 1.0747 |
| No log | 2.2553 | 212 | 1.1025 | 0.4974 | 1.1025 | 1.0500 |
| No log | 2.2766 | 214 | 0.8676 | 0.5769 | 0.8676 | 0.9314 |
| No log | 2.2979 | 216 | 0.7146 | 0.6269 | 0.7146 | 0.8454 |
| No log | 2.3191 | 218 | 0.6834 | 0.6275 | 0.6834 | 0.8267 |
| No log | 2.3404 | 220 | 0.6561 | 0.6507 | 0.6561 | 0.8100 |
| No log | 2.3617 | 222 | 0.6387 | 0.6452 | 0.6387 | 0.7992 |
| No log | 2.3830 | 224 | 0.6286 | 0.6156 | 0.6286 | 0.7928 |
| No log | 2.4043 | 226 | 0.6418 | 0.5817 | 0.6418 | 0.8011 |
| No log | 2.4255 | 228 | 0.6450 | 0.6097 | 0.6450 | 0.8031 |
| No log | 2.4468 | 230 | 0.6501 | 0.5834 | 0.6501 | 0.8063 |
| No log | 2.4681 | 232 | 0.5985 | 0.6423 | 0.5985 | 0.7736 |
| No log | 2.4894 | 234 | 0.6036 | 0.6629 | 0.6036 | 0.7769 |
| No log | 2.5106 | 236 | 0.5139 | 0.6670 | 0.5139 | 0.7169 |
| No log | 2.5319 | 238 | 0.5408 | 0.6767 | 0.5408 | 0.7354 |
| No log | 2.5532 | 240 | 0.5353 | 0.6456 | 0.5353 | 0.7316 |
| No log | 2.5745 | 242 | 0.5542 | 0.6457 | 0.5542 | 0.7444 |
| No log | 2.5957 | 244 | 0.9278 | 0.5618 | 0.9278 | 0.9632 |
| No log | 2.6170 | 246 | 1.3161 | 0.4325 | 1.3161 | 1.1472 |
| No log | 2.6383 | 248 | 1.2822 | 0.4691 | 1.2822 | 1.1323 |
| No log | 2.6596 | 250 | 0.8725 | 0.5714 | 0.8725 | 0.9341 |
| No log | 2.6809 | 252 | 0.5267 | 0.6903 | 0.5267 | 0.7257 |
| No log | 2.7021 | 254 | 0.6968 | 0.6389 | 0.6968 | 0.8348 |
| No log | 2.7234 | 256 | 0.8919 | 0.5452 | 0.8919 | 0.9444 |
| No log | 2.7447 | 258 | 0.7998 | 0.5484 | 0.7998 | 0.8943 |
| No log | 2.7660 | 260 | 0.6040 | 0.6506 | 0.6040 | 0.7772 |
| No log | 2.7872 | 262 | 0.5420 | 0.6471 | 0.5420 | 0.7362 |
| No log | 2.8085 | 264 | 0.8467 | 0.5569 | 0.8467 | 0.9202 |
| No log | 2.8298 | 266 | 1.1593 | 0.4704 | 1.1593 | 1.0767 |
| No log | 2.8511 | 268 | 1.1460 | 0.4630 | 1.1460 | 1.0705 |
| No log | 2.8723 | 270 | 0.9057 | 0.5600 | 0.9057 | 0.9517 |
| No log | 2.8936 | 272 | 0.6712 | 0.5678 | 0.6712 | 0.8193 |
| No log | 2.9149 | 274 | 0.6617 | 0.5032 | 0.6617 | 0.8135 |
| No log | 2.9362 | 276 | 0.7325 | 0.5007 | 0.7325 | 0.8559 |
| No log | 2.9574 | 278 | 0.7542 | 0.4746 | 0.7542 | 0.8684 |
| No log | 2.9787 | 280 | 0.6737 | 0.5665 | 0.6737 | 0.8208 |
| No log | 3.0 | 282 | 0.6070 | 0.6110 | 0.6070 | 0.7791 |
| No log | 3.0213 | 284 | 0.5623 | 0.6465 | 0.5623 | 0.7499 |
| No log | 3.0426 | 286 | 0.5542 | 0.6766 | 0.5542 | 0.7445 |
| No log | 3.0638 | 288 | 0.5836 | 0.7004 | 0.5836 | 0.7639 |
| No log | 3.0851 | 290 | 0.6133 | 0.7125 | 0.6133 | 0.7831 |
| No log | 3.1064 | 292 | 0.5968 | 0.7134 | 0.5968 | 0.7725 |
| No log | 3.1277 | 294 | 0.6292 | 0.7011 | 0.6292 | 0.7932 |
| No log | 3.1489 | 296 | 0.7177 | 0.6880 | 0.7177 | 0.8471 |
| No log | 3.1702 | 298 | 0.6694 | 0.6973 | 0.6694 | 0.8182 |
| No log | 3.1915 | 300 | 0.5992 | 0.6910 | 0.5992 | 0.7741 |
| No log | 3.2128 | 302 | 0.6497 | 0.6648 | 0.6497 | 0.8060 |
| No log | 3.2340 | 304 | 0.9107 | 0.5353 | 0.9107 | 0.9543 |
| No log | 3.2553 | 306 | 1.0925 | 0.4318 | 1.0925 | 1.0452 |
| No log | 3.2766 | 308 | 1.0429 | 0.4003 | 1.0429 | 1.0212 |
| No log | 3.2979 | 310 | 0.8412 | 0.4095 | 0.8412 | 0.9172 |
| No log | 3.3191 | 312 | 0.6646 | 0.5059 | 0.6646 | 0.8152 |
| No log | 3.3404 | 314 | 0.6233 | 0.5205 | 0.6233 | 0.7895 |
| No log | 3.3617 | 316 | 0.6060 | 0.5900 | 0.6060 | 0.7784 |
| No log | 3.3830 | 318 | 0.6024 | 0.6104 | 0.6024 | 0.7762 |
| No log | 3.4043 | 320 | 0.5967 | 0.6653 | 0.5967 | 0.7725 |
| No log | 3.4255 | 322 | 0.6930 | 0.6530 | 0.6930 | 0.8325 |
| No log | 3.4468 | 324 | 0.8456 | 0.6280 | 0.8456 | 0.9196 |
| No log | 3.4681 | 326 | 0.9347 | 0.6103 | 0.9347 | 0.9668 |
| No log | 3.4894 | 328 | 0.8202 | 0.6594 | 0.8202 | 0.9057 |
| No log | 3.5106 | 330 | 0.6678 | 0.7150 | 0.6678 | 0.8172 |
| No log | 3.5319 | 332 | 0.6610 | 0.7139 | 0.6610 | 0.8130 |
| No log | 3.5532 | 334 | 0.6443 | 0.7113 | 0.6443 | 0.8027 |
| No log | 3.5745 | 336 | 0.5915 | 0.7133 | 0.5915 | 0.7691 |
| No log | 3.5957 | 338 | 0.6299 | 0.6809 | 0.6299 | 0.7937 |
| No log | 3.6170 | 340 | 0.8117 | 0.5781 | 0.8117 | 0.9010 |
| No log | 3.6383 | 342 | 1.0869 | 0.5108 | 1.0869 | 1.0426 |
| No log | 3.6596 | 344 | 1.1670 | 0.4624 | 1.1670 | 1.0803 |
| No log | 3.6809 | 346 | 1.1315 | 0.4334 | 1.1315 | 1.0637 |
| No log | 3.7021 | 348 | 0.9681 | 0.3557 | 0.9681 | 0.9839 |
| No log | 3.7234 | 350 | 0.8355 | 0.3726 | 0.8355 | 0.9141 |
| No log | 3.7447 | 352 | 0.7805 | 0.4425 | 0.7805 | 0.8835 |
| No log | 3.7660 | 354 | 0.7453 | 0.5191 | 0.7453 | 0.8633 |
| No log | 3.7872 | 356 | 0.6977 | 0.5372 | 0.6977 | 0.8353 |
| No log | 3.8085 | 358 | 0.6570 | 0.5306 | 0.6570 | 0.8105 |
| No log | 3.8298 | 360 | 0.6821 | 0.5453 | 0.6821 | 0.8259 |
| No log | 3.8511 | 362 | 0.7734 | 0.5928 | 0.7734 | 0.8794 |
| No log | 3.8723 | 364 | 0.8651 | 0.5940 | 0.8651 | 0.9301 |
| No log | 3.8936 | 366 | 0.8502 | 0.5908 | 0.8502 | 0.9221 |
| No log | 3.9149 | 368 | 0.7957 | 0.6071 | 0.7957 | 0.8920 |
| No log | 3.9362 | 370 | 0.6293 | 0.6741 | 0.6293 | 0.7933 |
| No log | 3.9574 | 372 | 0.5445 | 0.7025 | 0.5445 | 0.7379 |
| No log | 3.9787 | 374 | 0.5380 | 0.7025 | 0.5380 | 0.7335 |
| No log | 4.0 | 376 | 0.5410 | 0.7094 | 0.5410 | 0.7355 |
| No log | 4.0213 | 378 | 0.5642 | 0.6702 | 0.5642 | 0.7511 |
| No log | 4.0426 | 380 | 0.5881 | 0.6287 | 0.5881 | 0.7669 |
| No log | 4.0638 | 382 | 0.6616 | 0.5875 | 0.6616 | 0.8134 |
| No log | 4.0851 | 384 | 0.6835 | 0.5993 | 0.6835 | 0.8267 |
| No log | 4.1064 | 386 | 0.6574 | 0.6350 | 0.6574 | 0.8108 |
| No log | 4.1277 | 388 | 0.5790 | 0.6859 | 0.5790 | 0.7609 |
| No log | 4.1489 | 390 | 0.5634 | 0.7182 | 0.5634 | 0.7506 |
| No log | 4.1702 | 392 | 0.6070 | 0.7065 | 0.6070 | 0.7791 |
| No log | 4.1915 | 394 | 0.6264 | 0.6784 | 0.6264 | 0.7915 |
| No log | 4.2128 | 396 | 0.7449 | 0.6500 | 0.7449 | 0.8630 |
| No log | 4.2340 | 398 | 0.7664 | 0.6479 | 0.7664 | 0.8755 |
| No log | 4.2553 | 400 | 0.6247 | 0.6952 | 0.6247 | 0.7904 |
| No log | 4.2766 | 402 | 0.5720 | 0.7190 | 0.5720 | 0.7563 |
| No log | 4.2979 | 404 | 0.6046 | 0.7120 | 0.6046 | 0.7776 |
| No log | 4.3191 | 406 | 0.6890 | 0.6531 | 0.6890 | 0.8301 |
| No log | 4.3404 | 408 | 0.7081 | 0.6258 | 0.7081 | 0.8415 |
| No log | 4.3617 | 410 | 0.7887 | 0.6071 | 0.7887 | 0.8881 |
| No log | 4.3830 | 412 | 0.7614 | 0.6029 | 0.7614 | 0.8726 |
| No log | 4.4043 | 414 | 0.5887 | 0.6544 | 0.5887 | 0.7672 |
| No log | 4.4255 | 416 | 0.5534 | 0.6704 | 0.5534 | 0.7439 |
| No log | 4.4468 | 418 | 0.5740 | 0.6582 | 0.5740 | 0.7576 |
| No log | 4.4681 | 420 | 0.5688 | 0.6769 | 0.5688 | 0.7542 |
| No log | 4.4894 | 422 | 0.7319 | 0.6316 | 0.7319 | 0.8555 |
| No log | 4.5106 | 424 | 0.8256 | 0.6290 | 0.8256 | 0.9086 |
| No log | 4.5319 | 426 | 0.8411 | 0.6352 | 0.8411 | 0.9171 |
| No log | 4.5532 | 428 | 0.7590 | 0.6421 | 0.7590 | 0.8712 |
| No log | 4.5745 | 430 | 0.7167 | 0.6771 | 0.7167 | 0.8466 |
| No log | 4.5957 | 432 | 0.6752 | 0.6589 | 0.6752 | 0.8217 |
| No log | 4.6170 | 434 | 0.6656 | 0.7030 | 0.6656 | 0.8159 |
| No log | 4.6383 | 436 | 0.6326 | 0.7083 | 0.6326 | 0.7954 |
| No log | 4.6596 | 438 | 0.6287 | 0.6792 | 0.6287 | 0.7929 |
| No log | 4.6809 | 440 | 0.5928 | 0.6710 | 0.5928 | 0.7699 |
| No log | 4.7021 | 442 | 0.5707 | 0.6713 | 0.5707 | 0.7554 |
| No log | 4.7234 | 444 | 0.5786 | 0.6789 | 0.5786 | 0.7607 |
| No log | 4.7447 | 446 | 0.6081 | 0.6747 | 0.6081 | 0.7798 |
| No log | 4.7660 | 448 | 0.6419 | 0.6769 | 0.6419 | 0.8012 |
| No log | 4.7872 | 450 | 0.7496 | 0.6119 | 0.7496 | 0.8658 |
| No log | 4.8085 | 452 | 0.7215 | 0.6359 | 0.7215 | 0.8494 |
| No log | 4.8298 | 454 | 0.6190 | 0.6934 | 0.6190 | 0.7868 |
| No log | 4.8511 | 456 | 0.5394 | 0.6777 | 0.5394 | 0.7345 |
| No log | 4.8723 | 458 | 0.6038 | 0.6589 | 0.6038 | 0.7770 |
| No log | 4.8936 | 460 | 0.6352 | 0.6352 | 0.6352 | 0.7970 |
| No log | 4.9149 | 462 | 0.5894 | 0.6615 | 0.5894 | 0.7677 |
| No log | 4.9362 | 464 | 0.5531 | 0.6921 | 0.5531 | 0.7437 |
| No log | 4.9574 | 466 | 0.6797 | 0.6574 | 0.6797 | 0.8244 |
| No log | 4.9787 | 468 | 0.8562 | 0.5981 | 0.8562 | 0.9253 |
| No log | 5.0 | 470 | 0.9287 | 0.5849 | 0.9287 | 0.9637 |
| No log | 5.0213 | 472 | 0.8604 | 0.6067 | 0.8604 | 0.9276 |
| No log | 5.0426 | 474 | 0.6654 | 0.6790 | 0.6654 | 0.8157 |
| No log | 5.0638 | 476 | 0.5868 | 0.6839 | 0.5868 | 0.7660 |
| No log | 5.0851 | 478 | 0.5594 | 0.6701 | 0.5594 | 0.7480 |
| No log | 5.1064 | 480 | 0.5695 | 0.6213 | 0.5695 | 0.7546 |
| No log | 5.1277 | 482 | 0.5667 | 0.6463 | 0.5667 | 0.7528 |
| No log | 5.1489 | 484 | 0.5769 | 0.6640 | 0.5769 | 0.7595 |
| No log | 5.1702 | 486 | 0.6746 | 0.6307 | 0.6746 | 0.8214 |
| No log | 5.1915 | 488 | 0.8034 | 0.5952 | 0.8034 | 0.8963 |
| No log | 5.2128 | 490 | 0.7357 | 0.6277 | 0.7357 | 0.8577 |
| No log | 5.2340 | 492 | 0.6018 | 0.6784 | 0.6018 | 0.7758 |
| No log | 5.2553 | 494 | 0.6016 | 0.6803 | 0.6016 | 0.7756 |
| No log | 5.2766 | 496 | 0.6520 | 0.6395 | 0.6520 | 0.8075 |
| No log | 5.2979 | 498 | 0.5782 | 0.6995 | 0.5782 | 0.7604 |
| 0.609 | 5.3191 | 500 | 0.6230 | 0.6706 | 0.6230 | 0.7893 |
| 0.609 | 5.3404 | 502 | 0.8195 | 0.5868 | 0.8195 | 0.9053 |
| 0.609 | 5.3617 | 504 | 0.8613 | 0.5847 | 0.8613 | 0.9281 |
| 0.609 | 5.3830 | 506 | 0.7107 | 0.6360 | 0.7107 | 0.8431 |
| 0.609 | 5.4043 | 508 | 0.6229 | 0.6491 | 0.6229 | 0.7892 |
| 0.609 | 5.4255 | 510 | 0.5944 | 0.6687 | 0.5944 | 0.7710 |
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_TestTask2_organization
Base model
aubmindlab/bert-base-arabertv02