ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k12_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: 0.6984
- Qwk: 0.5246
- Mse: 0.6984
- Rmse: 0.8357
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: 16
- eval_batch_size: 16
- 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 | 0.0645 | 2 | 6.4367 | -0.0218 | 6.4367 | 2.5371 |
| No log | 0.1290 | 4 | 4.4635 | -0.0328 | 4.4635 | 2.1127 |
| No log | 0.1935 | 6 | 3.0988 | -0.0013 | 3.0988 | 1.7603 |
| No log | 0.2581 | 8 | 2.1395 | -0.0042 | 2.1395 | 1.4627 |
| No log | 0.3226 | 10 | 1.4861 | 0.0428 | 1.4861 | 1.2190 |
| No log | 0.3871 | 12 | 1.1807 | 0.0685 | 1.1807 | 1.0866 |
| No log | 0.4516 | 14 | 1.0932 | 0.0285 | 1.0932 | 1.0456 |
| No log | 0.5161 | 16 | 1.0606 | 0.0130 | 1.0606 | 1.0299 |
| No log | 0.5806 | 18 | 0.9992 | 0.0288 | 0.9992 | 0.9996 |
| No log | 0.6452 | 20 | 0.9611 | -0.0125 | 0.9611 | 0.9803 |
| No log | 0.7097 | 22 | 0.9352 | 0.0132 | 0.9352 | 0.9671 |
| No log | 0.7742 | 24 | 0.8748 | 0.0946 | 0.8748 | 0.9353 |
| No log | 0.8387 | 26 | 0.8278 | 0.1139 | 0.8278 | 0.9098 |
| No log | 0.9032 | 28 | 0.7606 | 0.1557 | 0.7606 | 0.8721 |
| No log | 0.9677 | 30 | 0.7334 | 0.1438 | 0.7334 | 0.8564 |
| No log | 1.0323 | 32 | 0.7353 | 0.1363 | 0.7353 | 0.8575 |
| No log | 1.0968 | 34 | 0.7636 | 0.1725 | 0.7636 | 0.8739 |
| No log | 1.1613 | 36 | 0.8011 | 0.1725 | 0.8011 | 0.8950 |
| No log | 1.2258 | 38 | 0.8540 | 0.1990 | 0.8540 | 0.9241 |
| No log | 1.2903 | 40 | 0.8625 | 0.2247 | 0.8625 | 0.9287 |
| No log | 1.3548 | 42 | 0.8384 | 0.2388 | 0.8384 | 0.9156 |
| No log | 1.4194 | 44 | 0.8090 | 0.2097 | 0.8090 | 0.8994 |
| No log | 1.4839 | 46 | 0.8895 | 0.2227 | 0.8895 | 0.9431 |
| No log | 1.5484 | 48 | 0.8638 | 0.2665 | 0.8638 | 0.9294 |
| No log | 1.6129 | 50 | 0.8189 | 0.2856 | 0.8189 | 0.9050 |
| No log | 1.6774 | 52 | 0.6946 | 0.2953 | 0.6946 | 0.8334 |
| No log | 1.7419 | 54 | 0.6102 | 0.3639 | 0.6102 | 0.7811 |
| No log | 1.8065 | 56 | 0.5907 | 0.4118 | 0.5907 | 0.7686 |
| No log | 1.8710 | 58 | 0.6045 | 0.3850 | 0.6045 | 0.7775 |
| No log | 1.9355 | 60 | 0.6168 | 0.3696 | 0.6168 | 0.7854 |
| No log | 2.0 | 62 | 0.6437 | 0.3458 | 0.6437 | 0.8023 |
| No log | 2.0645 | 64 | 0.6953 | 0.3556 | 0.6953 | 0.8339 |
| No log | 2.1290 | 66 | 0.8366 | 0.3549 | 0.8366 | 0.9146 |
| No log | 2.1935 | 68 | 0.9943 | 0.3034 | 0.9943 | 0.9971 |
| No log | 2.2581 | 70 | 0.9459 | 0.3907 | 0.9459 | 0.9726 |
| No log | 2.3226 | 72 | 0.7922 | 0.4300 | 0.7922 | 0.8900 |
| No log | 2.3871 | 74 | 0.6983 | 0.3835 | 0.6983 | 0.8356 |
| No log | 2.4516 | 76 | 0.6600 | 0.3839 | 0.6600 | 0.8124 |
| No log | 2.5161 | 78 | 0.6932 | 0.3501 | 0.6932 | 0.8326 |
| No log | 2.5806 | 80 | 0.7508 | 0.3172 | 0.7508 | 0.8665 |
| No log | 2.6452 | 82 | 0.7171 | 0.3426 | 0.7171 | 0.8468 |
| No log | 2.7097 | 84 | 0.6547 | 0.3986 | 0.6547 | 0.8091 |
| No log | 2.7742 | 86 | 0.6341 | 0.4112 | 0.6341 | 0.7963 |
| No log | 2.8387 | 88 | 0.5942 | 0.4320 | 0.5942 | 0.7708 |
| No log | 2.9032 | 90 | 0.5584 | 0.4640 | 0.5584 | 0.7473 |
| No log | 2.9677 | 92 | 0.5250 | 0.4642 | 0.5250 | 0.7245 |
| No log | 3.0323 | 94 | 0.5167 | 0.4649 | 0.5167 | 0.7188 |
| No log | 3.0968 | 96 | 0.5178 | 0.4587 | 0.5178 | 0.7196 |
| No log | 3.1613 | 98 | 0.5152 | 0.5037 | 0.5152 | 0.7177 |
| No log | 3.2258 | 100 | 0.5545 | 0.5306 | 0.5545 | 0.7446 |
| No log | 3.2903 | 102 | 0.5991 | 0.4904 | 0.5991 | 0.7740 |
| No log | 3.3548 | 104 | 0.5995 | 0.5178 | 0.5995 | 0.7743 |
| No log | 3.4194 | 106 | 0.5699 | 0.5249 | 0.5699 | 0.7549 |
| No log | 3.4839 | 108 | 0.5649 | 0.5243 | 0.5649 | 0.7516 |
| No log | 3.5484 | 110 | 0.5432 | 0.5275 | 0.5432 | 0.7370 |
| No log | 3.6129 | 112 | 0.5234 | 0.5826 | 0.5234 | 0.7235 |
| No log | 3.6774 | 114 | 0.5199 | 0.5664 | 0.5199 | 0.7210 |
| No log | 3.7419 | 116 | 0.5377 | 0.5263 | 0.5377 | 0.7333 |
| No log | 3.8065 | 118 | 0.5513 | 0.5298 | 0.5513 | 0.7425 |
| No log | 3.8710 | 120 | 0.5596 | 0.5393 | 0.5596 | 0.7480 |
| No log | 3.9355 | 122 | 0.5919 | 0.5357 | 0.5919 | 0.7694 |
| No log | 4.0 | 124 | 0.6056 | 0.5304 | 0.6056 | 0.7782 |
| No log | 4.0645 | 126 | 0.5944 | 0.5377 | 0.5944 | 0.7710 |
| No log | 4.1290 | 128 | 0.5646 | 0.5774 | 0.5646 | 0.7514 |
| No log | 4.1935 | 130 | 0.5383 | 0.5627 | 0.5383 | 0.7337 |
| No log | 4.2581 | 132 | 0.5354 | 0.5627 | 0.5354 | 0.7317 |
| No log | 4.3226 | 134 | 0.5548 | 0.5522 | 0.5548 | 0.7449 |
| No log | 4.3871 | 136 | 0.5671 | 0.5539 | 0.5671 | 0.7531 |
| No log | 4.4516 | 138 | 0.5554 | 0.5486 | 0.5554 | 0.7453 |
| No log | 4.5161 | 140 | 0.5519 | 0.5333 | 0.5519 | 0.7429 |
| No log | 4.5806 | 142 | 0.5595 | 0.5195 | 0.5595 | 0.7480 |
| No log | 4.6452 | 144 | 0.5743 | 0.5053 | 0.5743 | 0.7578 |
| No log | 4.7097 | 146 | 0.5620 | 0.5202 | 0.5620 | 0.7497 |
| No log | 4.7742 | 148 | 0.5425 | 0.5410 | 0.5425 | 0.7366 |
| No log | 4.8387 | 150 | 0.5470 | 0.5785 | 0.5470 | 0.7396 |
| No log | 4.9032 | 152 | 0.6078 | 0.5215 | 0.6078 | 0.7796 |
| No log | 4.9677 | 154 | 0.6553 | 0.4742 | 0.6553 | 0.8095 |
| No log | 5.0323 | 156 | 0.6875 | 0.4479 | 0.6875 | 0.8292 |
| No log | 5.0968 | 158 | 0.6774 | 0.4859 | 0.6774 | 0.8230 |
| No log | 5.1613 | 160 | 0.6189 | 0.5641 | 0.6189 | 0.7867 |
| No log | 5.2258 | 162 | 0.5798 | 0.5854 | 0.5798 | 0.7614 |
| No log | 5.2903 | 164 | 0.5327 | 0.5645 | 0.5327 | 0.7298 |
| No log | 5.3548 | 166 | 0.5107 | 0.5445 | 0.5107 | 0.7146 |
| No log | 5.4194 | 168 | 0.5085 | 0.5533 | 0.5085 | 0.7131 |
| No log | 5.4839 | 170 | 0.5130 | 0.5315 | 0.5130 | 0.7162 |
| No log | 5.5484 | 172 | 0.5346 | 0.5767 | 0.5346 | 0.7312 |
| No log | 5.6129 | 174 | 0.5588 | 0.5416 | 0.5588 | 0.7475 |
| No log | 5.6774 | 176 | 0.5571 | 0.5626 | 0.5571 | 0.7464 |
| No log | 5.7419 | 178 | 0.5428 | 0.5997 | 0.5428 | 0.7367 |
| No log | 5.8065 | 180 | 0.5607 | 0.5367 | 0.5607 | 0.7488 |
| No log | 5.8710 | 182 | 0.5822 | 0.4769 | 0.5822 | 0.7630 |
| No log | 5.9355 | 184 | 0.5733 | 0.5050 | 0.5733 | 0.7572 |
| No log | 6.0 | 186 | 0.5610 | 0.5382 | 0.5610 | 0.7490 |
| No log | 6.0645 | 188 | 0.5619 | 0.5651 | 0.5619 | 0.7496 |
| No log | 6.1290 | 190 | 0.5655 | 0.5882 | 0.5655 | 0.7520 |
| No log | 6.1935 | 192 | 0.5607 | 0.5898 | 0.5607 | 0.7488 |
| No log | 6.2581 | 194 | 0.5652 | 0.6123 | 0.5652 | 0.7518 |
| No log | 6.3226 | 196 | 0.5751 | 0.5805 | 0.5751 | 0.7583 |
| No log | 6.3871 | 198 | 0.5817 | 0.5636 | 0.5817 | 0.7627 |
| No log | 6.4516 | 200 | 0.5772 | 0.5554 | 0.5772 | 0.7597 |
| No log | 6.5161 | 202 | 0.5723 | 0.5620 | 0.5723 | 0.7565 |
| No log | 6.5806 | 204 | 0.5709 | 0.5502 | 0.5709 | 0.7556 |
| No log | 6.6452 | 206 | 0.5654 | 0.5718 | 0.5654 | 0.7519 |
| No log | 6.7097 | 208 | 0.5654 | 0.5718 | 0.5654 | 0.7519 |
| No log | 6.7742 | 210 | 0.5784 | 0.5249 | 0.5784 | 0.7606 |
| No log | 6.8387 | 212 | 0.5856 | 0.5718 | 0.5856 | 0.7652 |
| No log | 6.9032 | 214 | 0.5986 | 0.5684 | 0.5986 | 0.7737 |
| No log | 6.9677 | 216 | 0.6079 | 0.5572 | 0.6079 | 0.7797 |
| No log | 7.0323 | 218 | 0.5873 | 0.6072 | 0.5873 | 0.7663 |
| No log | 7.0968 | 220 | 0.5835 | 0.5596 | 0.5835 | 0.7639 |
| No log | 7.1613 | 222 | 0.5992 | 0.5180 | 0.5992 | 0.7741 |
| No log | 7.2258 | 224 | 0.6224 | 0.5166 | 0.6224 | 0.7889 |
| No log | 7.2903 | 226 | 0.6257 | 0.5700 | 0.6257 | 0.7910 |
| No log | 7.3548 | 228 | 0.6023 | 0.5728 | 0.6023 | 0.7761 |
| No log | 7.4194 | 230 | 0.5954 | 0.5779 | 0.5954 | 0.7716 |
| No log | 7.4839 | 232 | 0.5939 | 0.5791 | 0.5939 | 0.7706 |
| No log | 7.5484 | 234 | 0.5961 | 0.5970 | 0.5961 | 0.7721 |
| No log | 7.6129 | 236 | 0.5927 | 0.6025 | 0.5927 | 0.7699 |
| No log | 7.6774 | 238 | 0.5855 | 0.5843 | 0.5855 | 0.7652 |
| No log | 7.7419 | 240 | 0.5790 | 0.5769 | 0.5790 | 0.7609 |
| No log | 7.8065 | 242 | 0.5735 | 0.5356 | 0.5735 | 0.7573 |
| No log | 7.8710 | 244 | 0.5683 | 0.5438 | 0.5683 | 0.7538 |
| No log | 7.9355 | 246 | 0.5686 | 0.5247 | 0.5686 | 0.7541 |
| No log | 8.0 | 248 | 0.5812 | 0.5411 | 0.5812 | 0.7624 |
| No log | 8.0645 | 250 | 0.6007 | 0.5414 | 0.6007 | 0.7751 |
| No log | 8.1290 | 252 | 0.6175 | 0.5598 | 0.6175 | 0.7858 |
| No log | 8.1935 | 254 | 0.6630 | 0.5230 | 0.6630 | 0.8143 |
| No log | 8.2581 | 256 | 0.6900 | 0.5486 | 0.6900 | 0.8306 |
| No log | 8.3226 | 258 | 0.6763 | 0.5712 | 0.6763 | 0.8223 |
| No log | 8.3871 | 260 | 0.6580 | 0.5230 | 0.6580 | 0.8112 |
| No log | 8.4516 | 262 | 0.6332 | 0.5316 | 0.6332 | 0.7957 |
| No log | 8.5161 | 264 | 0.6410 | 0.5014 | 0.6410 | 0.8006 |
| No log | 8.5806 | 266 | 0.6737 | 0.5324 | 0.6737 | 0.8208 |
| No log | 8.6452 | 268 | 0.6712 | 0.4904 | 0.6712 | 0.8193 |
| No log | 8.7097 | 270 | 0.6479 | 0.4946 | 0.6479 | 0.8049 |
| No log | 8.7742 | 272 | 0.6487 | 0.5065 | 0.6487 | 0.8054 |
| No log | 8.8387 | 274 | 0.6682 | 0.5111 | 0.6682 | 0.8174 |
| No log | 8.9032 | 276 | 0.6725 | 0.5111 | 0.6725 | 0.8201 |
| No log | 8.9677 | 278 | 0.6666 | 0.5054 | 0.6666 | 0.8165 |
| No log | 9.0323 | 280 | 0.6544 | 0.5216 | 0.6544 | 0.8089 |
| No log | 9.0968 | 282 | 0.6567 | 0.5232 | 0.6567 | 0.8103 |
| No log | 9.1613 | 284 | 0.6566 | 0.5408 | 0.6566 | 0.8103 |
| No log | 9.2258 | 286 | 0.6647 | 0.5486 | 0.6647 | 0.8153 |
| No log | 9.2903 | 288 | 0.6608 | 0.5385 | 0.6608 | 0.8129 |
| No log | 9.3548 | 290 | 0.6598 | 0.5521 | 0.6598 | 0.8123 |
| No log | 9.4194 | 292 | 0.6592 | 0.5380 | 0.6592 | 0.8119 |
| No log | 9.4839 | 294 | 0.6531 | 0.5325 | 0.6531 | 0.8082 |
| No log | 9.5484 | 296 | 0.6516 | 0.5300 | 0.6516 | 0.8072 |
| No log | 9.6129 | 298 | 0.6534 | 0.5190 | 0.6534 | 0.8083 |
| No log | 9.6774 | 300 | 0.6525 | 0.5300 | 0.6525 | 0.8077 |
| No log | 9.7419 | 302 | 0.6574 | 0.5300 | 0.6574 | 0.8108 |
| No log | 9.8065 | 304 | 0.6561 | 0.5247 | 0.6561 | 0.8100 |
| No log | 9.8710 | 306 | 0.6568 | 0.5505 | 0.6568 | 0.8104 |
| No log | 9.9355 | 308 | 0.6529 | 0.5418 | 0.6529 | 0.8080 |
| No log | 10.0 | 310 | 0.6564 | 0.5418 | 0.6564 | 0.8102 |
| No log | 10.0645 | 312 | 0.6667 | 0.5159 | 0.6667 | 0.8165 |
| No log | 10.1290 | 314 | 0.6674 | 0.5247 | 0.6674 | 0.8169 |
| No log | 10.1935 | 316 | 0.6751 | 0.5456 | 0.6751 | 0.8216 |
| No log | 10.2581 | 318 | 0.6782 | 0.5395 | 0.6782 | 0.8235 |
| No log | 10.3226 | 320 | 0.6646 | 0.5412 | 0.6646 | 0.8152 |
| No log | 10.3871 | 322 | 0.6636 | 0.5410 | 0.6636 | 0.8146 |
| No log | 10.4516 | 324 | 0.6714 | 0.5504 | 0.6714 | 0.8194 |
| No log | 10.5161 | 326 | 0.6823 | 0.5115 | 0.6823 | 0.8260 |
| No log | 10.5806 | 328 | 0.6758 | 0.5183 | 0.6758 | 0.8220 |
| No log | 10.6452 | 330 | 0.6648 | 0.5025 | 0.6648 | 0.8154 |
| No log | 10.7097 | 332 | 0.6637 | 0.5234 | 0.6637 | 0.8147 |
| No log | 10.7742 | 334 | 0.6671 | 0.5393 | 0.6671 | 0.8168 |
| No log | 10.8387 | 336 | 0.6611 | 0.5239 | 0.6611 | 0.8131 |
| No log | 10.9032 | 338 | 0.6576 | 0.5324 | 0.6576 | 0.8109 |
| No log | 10.9677 | 340 | 0.6596 | 0.5813 | 0.6596 | 0.8122 |
| No log | 11.0323 | 342 | 0.6550 | 0.5882 | 0.6550 | 0.8093 |
| No log | 11.0968 | 344 | 0.6540 | 0.5787 | 0.6540 | 0.8087 |
| No log | 11.1613 | 346 | 0.6578 | 0.5660 | 0.6578 | 0.8111 |
| No log | 11.2258 | 348 | 0.6671 | 0.5410 | 0.6671 | 0.8168 |
| No log | 11.2903 | 350 | 0.6598 | 0.5280 | 0.6598 | 0.8123 |
| No log | 11.3548 | 352 | 0.6542 | 0.4809 | 0.6542 | 0.8088 |
| No log | 11.4194 | 354 | 0.6561 | 0.5244 | 0.6561 | 0.8100 |
| No log | 11.4839 | 356 | 0.6635 | 0.5225 | 0.6635 | 0.8145 |
| No log | 11.5484 | 358 | 0.6679 | 0.5077 | 0.6679 | 0.8173 |
| No log | 11.6129 | 360 | 0.6698 | 0.4928 | 0.6698 | 0.8184 |
| No log | 11.6774 | 362 | 0.6620 | 0.5151 | 0.6620 | 0.8136 |
| No log | 11.7419 | 364 | 0.6478 | 0.5387 | 0.6478 | 0.8049 |
| No log | 11.8065 | 366 | 0.6387 | 0.5367 | 0.6387 | 0.7992 |
| No log | 11.8710 | 368 | 0.6391 | 0.5678 | 0.6391 | 0.7994 |
| No log | 11.9355 | 370 | 0.6255 | 0.5582 | 0.6255 | 0.7909 |
| No log | 12.0 | 372 | 0.6109 | 0.6098 | 0.6109 | 0.7816 |
| No log | 12.0645 | 374 | 0.6080 | 0.5927 | 0.6080 | 0.7797 |
| No log | 12.1290 | 376 | 0.6171 | 0.5531 | 0.6171 | 0.7856 |
| No log | 12.1935 | 378 | 0.6295 | 0.5516 | 0.6295 | 0.7934 |
| No log | 12.2581 | 380 | 0.6300 | 0.5141 | 0.6300 | 0.7938 |
| No log | 12.3226 | 382 | 0.6358 | 0.4939 | 0.6358 | 0.7974 |
| No log | 12.3871 | 384 | 0.6302 | 0.4949 | 0.6302 | 0.7938 |
| No log | 12.4516 | 386 | 0.6213 | 0.4997 | 0.6213 | 0.7882 |
| No log | 12.5161 | 388 | 0.6141 | 0.5267 | 0.6141 | 0.7836 |
| No log | 12.5806 | 390 | 0.6138 | 0.5224 | 0.6138 | 0.7835 |
| No log | 12.6452 | 392 | 0.6265 | 0.5182 | 0.6265 | 0.7915 |
| No log | 12.7097 | 394 | 0.6420 | 0.5021 | 0.6420 | 0.8012 |
| No log | 12.7742 | 396 | 0.6422 | 0.5190 | 0.6422 | 0.8014 |
| No log | 12.8387 | 398 | 0.6538 | 0.5224 | 0.6538 | 0.8086 |
| No log | 12.9032 | 400 | 0.6774 | 0.4885 | 0.6774 | 0.8231 |
| No log | 12.9677 | 402 | 0.7064 | 0.4693 | 0.7064 | 0.8405 |
| No log | 13.0323 | 404 | 0.7253 | 0.4970 | 0.7253 | 0.8516 |
| No log | 13.0968 | 406 | 0.7292 | 0.4842 | 0.7292 | 0.8540 |
| No log | 13.1613 | 408 | 0.7273 | 0.4767 | 0.7273 | 0.8528 |
| No log | 13.2258 | 410 | 0.7143 | 0.4912 | 0.7143 | 0.8452 |
| No log | 13.2903 | 412 | 0.6955 | 0.4964 | 0.6955 | 0.8340 |
| No log | 13.3548 | 414 | 0.6669 | 0.5068 | 0.6669 | 0.8166 |
| No log | 13.4194 | 416 | 0.6248 | 0.5782 | 0.6248 | 0.7904 |
| No log | 13.4839 | 418 | 0.6012 | 0.5981 | 0.6012 | 0.7754 |
| No log | 13.5484 | 420 | 0.6087 | 0.6180 | 0.6087 | 0.7802 |
| No log | 13.6129 | 422 | 0.6361 | 0.5674 | 0.6361 | 0.7976 |
| No log | 13.6774 | 424 | 0.6544 | 0.5496 | 0.6544 | 0.8089 |
| No log | 13.7419 | 426 | 0.6628 | 0.5506 | 0.6628 | 0.8141 |
| No log | 13.8065 | 428 | 0.6808 | 0.5331 | 0.6808 | 0.8251 |
| No log | 13.8710 | 430 | 0.7000 | 0.5181 | 0.7000 | 0.8367 |
| No log | 13.9355 | 432 | 0.6976 | 0.4980 | 0.6976 | 0.8352 |
| No log | 14.0 | 434 | 0.6826 | 0.5377 | 0.6826 | 0.8262 |
| No log | 14.0645 | 436 | 0.6892 | 0.5058 | 0.6892 | 0.8302 |
| No log | 14.1290 | 438 | 0.6892 | 0.5117 | 0.6892 | 0.8302 |
| No log | 14.1935 | 440 | 0.6676 | 0.5469 | 0.6676 | 0.8171 |
| No log | 14.2581 | 442 | 0.6399 | 0.5702 | 0.6399 | 0.7999 |
| No log | 14.3226 | 444 | 0.6453 | 0.5689 | 0.6453 | 0.8033 |
| No log | 14.3871 | 446 | 0.6628 | 0.5891 | 0.6628 | 0.8142 |
| No log | 14.4516 | 448 | 0.6894 | 0.5442 | 0.6894 | 0.8303 |
| No log | 14.5161 | 450 | 0.7012 | 0.5427 | 0.7012 | 0.8374 |
| No log | 14.5806 | 452 | 0.7244 | 0.5343 | 0.7244 | 0.8511 |
| No log | 14.6452 | 454 | 0.7649 | 0.5021 | 0.7649 | 0.8746 |
| No log | 14.7097 | 456 | 0.7798 | 0.4943 | 0.7798 | 0.8831 |
| No log | 14.7742 | 458 | 0.7552 | 0.5022 | 0.7552 | 0.8690 |
| No log | 14.8387 | 460 | 0.7079 | 0.5282 | 0.7079 | 0.8414 |
| No log | 14.9032 | 462 | 0.6818 | 0.5249 | 0.6818 | 0.8257 |
| No log | 14.9677 | 464 | 0.6785 | 0.5538 | 0.6785 | 0.8237 |
| No log | 15.0323 | 466 | 0.6673 | 0.5509 | 0.6673 | 0.8169 |
| No log | 15.0968 | 468 | 0.6652 | 0.5621 | 0.6652 | 0.8156 |
| No log | 15.1613 | 470 | 0.6683 | 0.5702 | 0.6683 | 0.8175 |
| No log | 15.2258 | 472 | 0.6670 | 0.5589 | 0.6670 | 0.8167 |
| No log | 15.2903 | 474 | 0.6584 | 0.6082 | 0.6584 | 0.8114 |
| No log | 15.3548 | 476 | 0.6636 | 0.5983 | 0.6636 | 0.8146 |
| No log | 15.4194 | 478 | 0.6711 | 0.6019 | 0.6711 | 0.8192 |
| No log | 15.4839 | 480 | 0.6922 | 0.5292 | 0.6922 | 0.8320 |
| No log | 15.5484 | 482 | 0.7104 | 0.5211 | 0.7104 | 0.8429 |
| No log | 15.6129 | 484 | 0.7238 | 0.4936 | 0.7238 | 0.8508 |
| No log | 15.6774 | 486 | 0.7214 | 0.4879 | 0.7214 | 0.8493 |
| No log | 15.7419 | 488 | 0.7104 | 0.5030 | 0.7104 | 0.8429 |
| No log | 15.8065 | 490 | 0.6750 | 0.5395 | 0.6750 | 0.8216 |
| No log | 15.8710 | 492 | 0.6474 | 0.5871 | 0.6474 | 0.8046 |
| No log | 15.9355 | 494 | 0.6394 | 0.5757 | 0.6394 | 0.7996 |
| No log | 16.0 | 496 | 0.6429 | 0.5798 | 0.6429 | 0.8018 |
| No log | 16.0645 | 498 | 0.6561 | 0.5938 | 0.6561 | 0.8100 |
| 0.5914 | 16.1290 | 500 | 0.6792 | 0.5630 | 0.6792 | 0.8242 |
| 0.5914 | 16.1935 | 502 | 0.6800 | 0.5334 | 0.6800 | 0.8246 |
| 0.5914 | 16.2581 | 504 | 0.6680 | 0.5505 | 0.6680 | 0.8173 |
| 0.5914 | 16.3226 | 506 | 0.6712 | 0.5433 | 0.6712 | 0.8193 |
| 0.5914 | 16.3871 | 508 | 0.6888 | 0.5403 | 0.6888 | 0.8299 |
| 0.5914 | 16.4516 | 510 | 0.6984 | 0.5246 | 0.6984 | 0.8357 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run2_AugV5_k12_task2_organization
Base model
aubmindlab/bert-base-arabertv02