Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_task3_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_task3_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_task3_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_task3_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_task3_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_task3_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: 0.6863
- Qwk: 0.3860
- Mse: 0.6863
- Rmse: 0.8285
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0351 | 2 | 3.1669 | 0.0082 | 3.1669 | 1.7796 |
| No log | 0.0702 | 4 | 2.2464 | -0.0718 | 2.2464 | 1.4988 |
| No log | 0.1053 | 6 | 1.0471 | 0.0255 | 1.0471 | 1.0233 |
| No log | 0.1404 | 8 | 1.3091 | 0.0255 | 1.3091 | 1.1442 |
| No log | 0.1754 | 10 | 0.6701 | 0.2542 | 0.6701 | 0.8186 |
| No log | 0.2105 | 12 | 0.5666 | 0.0 | 0.5666 | 0.7528 |
| No log | 0.2456 | 14 | 0.5719 | 0.0 | 0.5719 | 0.7562 |
| No log | 0.2807 | 16 | 0.6508 | 0.1282 | 0.6508 | 0.8067 |
| No log | 0.3158 | 18 | 0.7386 | 0.0588 | 0.7386 | 0.8594 |
| No log | 0.3509 | 20 | 0.7709 | 0.1238 | 0.7709 | 0.8780 |
| No log | 0.3860 | 22 | 0.7953 | 0.0857 | 0.7953 | 0.8918 |
| No log | 0.4211 | 24 | 0.5727 | 0.0 | 0.5727 | 0.7568 |
| No log | 0.4561 | 26 | 0.6043 | -0.0081 | 0.6043 | 0.7774 |
| No log | 0.4912 | 28 | 0.8623 | 0.1000 | 0.8623 | 0.9286 |
| No log | 0.5263 | 30 | 0.9365 | 0.0431 | 0.9365 | 0.9677 |
| No log | 0.5614 | 32 | 0.7030 | 0.2000 | 0.7030 | 0.8385 |
| No log | 0.5965 | 34 | 0.5849 | -0.0081 | 0.5849 | 0.7648 |
| No log | 0.6316 | 36 | 0.6166 | 0.0569 | 0.6166 | 0.7852 |
| No log | 0.6667 | 38 | 1.0515 | 0.0431 | 1.0515 | 1.0254 |
| No log | 0.7018 | 40 | 1.3613 | 0.0345 | 1.3613 | 1.1667 |
| No log | 0.7368 | 42 | 0.9369 | 0.0 | 0.9369 | 0.9679 |
| No log | 0.7719 | 44 | 0.6373 | 0.2653 | 0.6373 | 0.7983 |
| No log | 0.8070 | 46 | 0.5704 | -0.0233 | 0.5704 | 0.7553 |
| No log | 0.8421 | 48 | 0.7532 | 0.2432 | 0.7532 | 0.8679 |
| No log | 0.8772 | 50 | 0.8817 | 0.0078 | 0.8817 | 0.9390 |
| No log | 0.9123 | 52 | 0.9429 | -0.0268 | 0.9429 | 0.9710 |
| No log | 0.9474 | 54 | 0.8436 | 0.0947 | 0.8436 | 0.9185 |
| No log | 0.9825 | 56 | 0.7426 | 0.0545 | 0.7426 | 0.8618 |
| No log | 1.0175 | 58 | 0.6535 | -0.0233 | 0.6535 | 0.8084 |
| No log | 1.0526 | 60 | 0.5997 | -0.0233 | 0.5997 | 0.7744 |
| No log | 1.0877 | 62 | 0.6000 | -0.0435 | 0.6000 | 0.7746 |
| No log | 1.1228 | 64 | 0.6889 | 0.2000 | 0.6889 | 0.8300 |
| No log | 1.1579 | 66 | 0.6800 | 0.2083 | 0.6800 | 0.8246 |
| No log | 1.1930 | 68 | 0.6486 | 0.1724 | 0.6486 | 0.8054 |
| No log | 1.2281 | 70 | 0.5677 | -0.0233 | 0.5677 | 0.7535 |
| No log | 1.2632 | 72 | 0.5527 | -0.0159 | 0.5527 | 0.7434 |
| No log | 1.2982 | 74 | 0.5583 | 0.0 | 0.5583 | 0.7472 |
| No log | 1.3333 | 76 | 0.5595 | 0.0 | 0.5595 | 0.7480 |
| No log | 1.3684 | 78 | 0.5441 | -0.0081 | 0.5441 | 0.7376 |
| No log | 1.4035 | 80 | 0.5260 | 0.0909 | 0.5260 | 0.7253 |
| No log | 1.4386 | 82 | 0.5353 | -0.0159 | 0.5353 | 0.7316 |
| No log | 1.4737 | 84 | 0.5377 | -0.0233 | 0.5377 | 0.7333 |
| No log | 1.5088 | 86 | 0.6195 | 0.2099 | 0.6195 | 0.7871 |
| No log | 1.5439 | 88 | 0.7928 | 0.3242 | 0.7928 | 0.8904 |
| No log | 1.5789 | 90 | 0.9131 | 0.2258 | 0.9131 | 0.9556 |
| No log | 1.6140 | 92 | 0.7705 | 0.2877 | 0.7705 | 0.8778 |
| No log | 1.6491 | 94 | 0.5389 | 0.0476 | 0.5389 | 0.7341 |
| No log | 1.6842 | 96 | 0.5378 | 0.1079 | 0.5378 | 0.7333 |
| No log | 1.7193 | 98 | 0.6932 | 0.3978 | 0.6932 | 0.8326 |
| No log | 1.7544 | 100 | 1.0610 | 0.1467 | 1.0610 | 1.0300 |
| No log | 1.7895 | 102 | 0.9344 | 0.1373 | 0.9344 | 0.9666 |
| No log | 1.8246 | 104 | 0.6336 | 0.1373 | 0.6336 | 0.7960 |
| No log | 1.8596 | 106 | 0.5049 | 0.2000 | 0.5049 | 0.7106 |
| No log | 1.8947 | 108 | 0.5451 | 0.2795 | 0.5451 | 0.7383 |
| No log | 1.9298 | 110 | 0.7583 | 0.3214 | 0.7583 | 0.8708 |
| No log | 1.9649 | 112 | 0.7020 | 0.2919 | 0.7020 | 0.8379 |
| No log | 2.0 | 114 | 0.6094 | 0.1707 | 0.6094 | 0.7806 |
| No log | 2.0351 | 116 | 0.7445 | 0.2086 | 0.7445 | 0.8629 |
| No log | 2.0702 | 118 | 0.7451 | 0.2865 | 0.7451 | 0.8632 |
| No log | 2.1053 | 120 | 0.6318 | 0.2832 | 0.6318 | 0.7949 |
| No log | 2.1404 | 122 | 0.5566 | 0.3371 | 0.5566 | 0.7460 |
| No log | 2.1754 | 124 | 0.5616 | 0.3258 | 0.5616 | 0.7494 |
| No log | 2.2105 | 126 | 0.5168 | 0.3121 | 0.5168 | 0.7189 |
| No log | 2.2456 | 128 | 0.6176 | 0.2513 | 0.6176 | 0.7859 |
| No log | 2.2807 | 130 | 0.6843 | 0.2607 | 0.6843 | 0.8272 |
| No log | 2.3158 | 132 | 0.5794 | 0.3369 | 0.5794 | 0.7612 |
| No log | 2.3509 | 134 | 0.5572 | 0.3684 | 0.5572 | 0.7464 |
| No log | 2.3860 | 136 | 0.6471 | 0.3153 | 0.6471 | 0.8044 |
| No log | 2.4211 | 138 | 0.6230 | 0.3394 | 0.6230 | 0.7893 |
| No log | 2.4561 | 140 | 0.5065 | 0.4346 | 0.5065 | 0.7117 |
| No log | 2.4912 | 142 | 0.4941 | 0.4583 | 0.4941 | 0.7029 |
| No log | 2.5263 | 144 | 0.6261 | 0.3433 | 0.6261 | 0.7913 |
| No log | 2.5614 | 146 | 1.0890 | 0.1399 | 1.0890 | 1.0435 |
| No log | 2.5965 | 148 | 1.1321 | 0.1409 | 1.1321 | 1.0640 |
| No log | 2.6316 | 150 | 0.8787 | 0.2569 | 0.8787 | 0.9374 |
| No log | 2.6667 | 152 | 0.5490 | 0.3641 | 0.5490 | 0.7409 |
| No log | 2.7018 | 154 | 0.5523 | 0.36 | 0.5523 | 0.7432 |
| No log | 2.7368 | 156 | 0.6210 | 0.3761 | 0.6210 | 0.7880 |
| No log | 2.7719 | 158 | 0.4965 | 0.3258 | 0.4965 | 0.7046 |
| No log | 2.8070 | 160 | 0.6574 | 0.2360 | 0.6574 | 0.8108 |
| No log | 2.8421 | 162 | 1.3402 | 0.1226 | 1.3402 | 1.1577 |
| No log | 2.8772 | 164 | 1.4351 | 0.0769 | 1.4351 | 1.1980 |
| No log | 2.9123 | 166 | 0.9684 | 0.1613 | 0.9684 | 0.9841 |
| No log | 2.9474 | 168 | 0.5110 | 0.3258 | 0.5110 | 0.7148 |
| No log | 2.9825 | 170 | 0.5830 | 0.4502 | 0.5830 | 0.7635 |
| No log | 3.0175 | 172 | 0.7047 | 0.3188 | 0.7047 | 0.8394 |
| No log | 3.0526 | 174 | 0.4846 | 0.4286 | 0.4846 | 0.6961 |
| No log | 3.0877 | 176 | 0.6942 | 0.3365 | 0.6942 | 0.8332 |
| No log | 3.1228 | 178 | 0.8377 | 0.1613 | 0.8377 | 0.9152 |
| No log | 3.1579 | 180 | 0.7091 | 0.2919 | 0.7091 | 0.8421 |
| No log | 3.1930 | 182 | 0.5544 | 0.4035 | 0.5544 | 0.7446 |
| No log | 3.2281 | 184 | 0.6659 | 0.4335 | 0.6659 | 0.8160 |
| No log | 3.2632 | 186 | 0.5636 | 0.4182 | 0.5636 | 0.7507 |
| No log | 3.2982 | 188 | 0.6563 | 0.3744 | 0.6563 | 0.8101 |
| No log | 3.3333 | 190 | 1.1477 | 0.1941 | 1.1477 | 1.0713 |
| No log | 3.3684 | 192 | 1.3238 | 0.1945 | 1.3238 | 1.1506 |
| No log | 3.4035 | 194 | 0.9555 | 0.1597 | 0.9555 | 0.9775 |
| No log | 3.4386 | 196 | 0.6745 | 0.3237 | 0.6745 | 0.8213 |
| No log | 3.4737 | 198 | 0.6552 | 0.4178 | 0.6552 | 0.8094 |
| No log | 3.5088 | 200 | 0.7203 | 0.3488 | 0.7203 | 0.8487 |
| No log | 3.5439 | 202 | 0.7919 | 0.2222 | 0.7919 | 0.8899 |
| No log | 3.5789 | 204 | 0.9334 | 0.2593 | 0.9334 | 0.9661 |
| No log | 3.6140 | 206 | 1.1664 | 0.1661 | 1.1664 | 1.0800 |
| No log | 3.6491 | 208 | 1.0585 | 0.1642 | 1.0585 | 1.0288 |
| No log | 3.6842 | 210 | 1.0713 | 0.1661 | 1.0713 | 1.0350 |
| No log | 3.7193 | 212 | 0.9721 | 0.1940 | 0.9721 | 0.9859 |
| No log | 3.7544 | 214 | 0.9495 | 0.2243 | 0.9495 | 0.9744 |
| No log | 3.7895 | 216 | 0.8076 | 0.2960 | 0.8076 | 0.8987 |
| No log | 3.8246 | 218 | 0.8507 | 0.2188 | 0.8507 | 0.9224 |
| No log | 3.8596 | 220 | 0.8077 | 0.2787 | 0.8077 | 0.8987 |
| No log | 3.8947 | 222 | 1.1071 | 0.1661 | 1.1071 | 1.0522 |
| No log | 3.9298 | 224 | 1.3317 | 0.0909 | 1.3317 | 1.1540 |
| No log | 3.9649 | 226 | 1.3745 | 0.0927 | 1.3745 | 1.1724 |
| No log | 4.0 | 228 | 1.0897 | 0.1942 | 1.0897 | 1.0439 |
| No log | 4.0351 | 230 | 0.6588 | 0.3951 | 0.6588 | 0.8117 |
| No log | 4.0702 | 232 | 0.5501 | 0.4545 | 0.5501 | 0.7417 |
| No log | 4.1053 | 234 | 0.6257 | 0.4231 | 0.6257 | 0.7910 |
| No log | 4.1404 | 236 | 0.8631 | 0.1613 | 0.8631 | 0.9290 |
| No log | 4.1754 | 238 | 1.1530 | 0.1141 | 1.1530 | 1.0738 |
| No log | 4.2105 | 240 | 1.0740 | 0.1655 | 1.0740 | 1.0364 |
| No log | 4.2456 | 242 | 0.8092 | 0.2961 | 0.8092 | 0.8995 |
| No log | 4.2807 | 244 | 0.7096 | 0.3704 | 0.7096 | 0.8424 |
| No log | 4.3158 | 246 | 0.9459 | 0.1648 | 0.9459 | 0.9726 |
| No log | 4.3509 | 248 | 1.2334 | 0.1155 | 1.2334 | 1.1106 |
| No log | 4.3860 | 250 | 1.1178 | 0.1141 | 1.1178 | 1.0573 |
| No log | 4.4211 | 252 | 0.7350 | 0.3628 | 0.7350 | 0.8573 |
| No log | 4.4561 | 254 | 0.4986 | 0.4105 | 0.4986 | 0.7061 |
| No log | 4.4912 | 256 | 0.4901 | 0.3990 | 0.4901 | 0.7000 |
| No log | 4.5263 | 258 | 0.5424 | 0.4694 | 0.5424 | 0.7365 |
| No log | 4.5614 | 260 | 0.7492 | 0.3973 | 0.7492 | 0.8655 |
| No log | 4.5965 | 262 | 0.9987 | 0.1278 | 0.9987 | 0.9994 |
| No log | 4.6316 | 264 | 0.9094 | 0.1803 | 0.9094 | 0.9536 |
| No log | 4.6667 | 266 | 0.7245 | 0.4133 | 0.7245 | 0.8512 |
| No log | 4.7018 | 268 | 0.6157 | 0.3831 | 0.6157 | 0.7847 |
| No log | 4.7368 | 270 | 0.5936 | 0.3878 | 0.5936 | 0.7704 |
| No log | 4.7719 | 272 | 0.6640 | 0.3786 | 0.6640 | 0.8149 |
| No log | 4.8070 | 274 | 0.9210 | 0.1873 | 0.9210 | 0.9597 |
| No log | 4.8421 | 276 | 1.0501 | 0.0791 | 1.0501 | 1.0248 |
| No log | 4.8772 | 278 | 0.8556 | 0.2469 | 0.8556 | 0.9250 |
| No log | 4.9123 | 280 | 0.6122 | 0.3878 | 0.6122 | 0.7824 |
| No log | 4.9474 | 282 | 0.5569 | 0.3333 | 0.5569 | 0.7462 |
| No log | 4.9825 | 284 | 0.5430 | 0.3407 | 0.5430 | 0.7369 |
| No log | 5.0175 | 286 | 0.5709 | 0.3663 | 0.5709 | 0.7556 |
| No log | 5.0526 | 288 | 0.7397 | 0.25 | 0.7397 | 0.8601 |
| No log | 5.0877 | 290 | 0.9690 | 0.1318 | 0.9690 | 0.9844 |
| No log | 5.1228 | 292 | 0.9458 | 0.1818 | 0.9458 | 0.9725 |
| No log | 5.1579 | 294 | 0.6931 | 0.3418 | 0.6931 | 0.8325 |
| No log | 5.1930 | 296 | 0.6438 | 0.3833 | 0.6438 | 0.8024 |
| No log | 5.2281 | 298 | 0.7643 | 0.3386 | 0.7643 | 0.8743 |
| No log | 5.2632 | 300 | 1.0569 | 0.1355 | 1.0569 | 1.0281 |
| No log | 5.2982 | 302 | 1.1402 | 0.1378 | 1.1402 | 1.0678 |
| No log | 5.3333 | 304 | 0.9279 | 0.1937 | 0.9279 | 0.9633 |
| No log | 5.3684 | 306 | 0.7594 | 0.2821 | 0.7594 | 0.8714 |
| No log | 5.4035 | 308 | 0.7902 | 0.2554 | 0.7902 | 0.8889 |
| No log | 5.4386 | 310 | 0.6560 | 0.28 | 0.6560 | 0.8099 |
| No log | 5.4737 | 312 | 0.5948 | 0.3878 | 0.5948 | 0.7712 |
| No log | 5.5088 | 314 | 0.6413 | 0.3131 | 0.6413 | 0.8008 |
| No log | 5.5439 | 316 | 0.8127 | 0.2632 | 0.8127 | 0.9015 |
| No log | 5.5789 | 318 | 1.0040 | 0.1661 | 1.0040 | 1.0020 |
| No log | 5.6140 | 320 | 1.0558 | 0.1389 | 1.0558 | 1.0275 |
| No log | 5.6491 | 322 | 0.9587 | 0.1886 | 0.9587 | 0.9791 |
| No log | 5.6842 | 324 | 0.7180 | 0.3874 | 0.7180 | 0.8473 |
| No log | 5.7193 | 326 | 0.6287 | 0.3982 | 0.6287 | 0.7929 |
| No log | 5.7544 | 328 | 0.6558 | 0.3818 | 0.6558 | 0.8098 |
| No log | 5.7895 | 330 | 0.7509 | 0.3628 | 0.7509 | 0.8665 |
| No log | 5.8246 | 332 | 0.7644 | 0.3628 | 0.7644 | 0.8743 |
| No log | 5.8596 | 334 | 0.6386 | 0.3818 | 0.6386 | 0.7991 |
| No log | 5.8947 | 336 | 0.5690 | 0.3892 | 0.5690 | 0.7543 |
| No log | 5.9298 | 338 | 0.6401 | 0.3917 | 0.6401 | 0.8001 |
| No log | 5.9649 | 340 | 0.7033 | 0.3886 | 0.7033 | 0.8386 |
| No log | 6.0 | 342 | 0.7379 | 0.3628 | 0.7379 | 0.8590 |
| No log | 6.0351 | 344 | 0.6776 | 0.3818 | 0.6776 | 0.8232 |
| No log | 6.0702 | 346 | 0.5650 | 0.4563 | 0.5650 | 0.7517 |
| No log | 6.1053 | 348 | 0.5593 | 0.4563 | 0.5593 | 0.7479 |
| No log | 6.1404 | 350 | 0.5672 | 0.4563 | 0.5672 | 0.7531 |
| No log | 6.1754 | 352 | 0.5777 | 0.4502 | 0.5777 | 0.7600 |
| No log | 6.2105 | 354 | 0.6366 | 0.4233 | 0.6366 | 0.7978 |
| No log | 6.2456 | 356 | 0.6524 | 0.4233 | 0.6524 | 0.8077 |
| No log | 6.2807 | 358 | 0.7887 | 0.3571 | 0.7887 | 0.8881 |
| No log | 6.3158 | 360 | 0.9525 | 0.1642 | 0.9525 | 0.9760 |
| No log | 6.3509 | 362 | 1.0073 | 0.1648 | 1.0073 | 1.0037 |
| No log | 6.3860 | 364 | 0.8476 | 0.3247 | 0.8476 | 0.9207 |
| No log | 6.4211 | 366 | 0.6232 | 0.4703 | 0.6232 | 0.7894 |
| No log | 6.4561 | 368 | 0.5550 | 0.3769 | 0.5550 | 0.7450 |
| No log | 6.4912 | 370 | 0.5694 | 0.4118 | 0.5694 | 0.7546 |
| No log | 6.5263 | 372 | 0.7004 | 0.3874 | 0.7004 | 0.8369 |
| No log | 6.5614 | 374 | 0.7785 | 0.3214 | 0.7785 | 0.8823 |
| No log | 6.5965 | 376 | 0.7925 | 0.3537 | 0.7925 | 0.8902 |
| No log | 6.6316 | 378 | 0.7264 | 0.3607 | 0.7264 | 0.8523 |
| No log | 6.6667 | 380 | 0.6284 | 0.3962 | 0.6284 | 0.7927 |
| No log | 6.7018 | 382 | 0.6033 | 0.3663 | 0.6033 | 0.7767 |
| No log | 6.7368 | 384 | 0.5765 | 0.4563 | 0.5765 | 0.7592 |
| No log | 6.7719 | 386 | 0.6018 | 0.4010 | 0.6018 | 0.7758 |
| No log | 6.8070 | 388 | 0.6371 | 0.4118 | 0.6371 | 0.7982 |
| No log | 6.8421 | 390 | 0.7322 | 0.3571 | 0.7322 | 0.8557 |
| No log | 6.8772 | 392 | 0.7674 | 0.3504 | 0.7674 | 0.8760 |
| No log | 6.9123 | 394 | 0.8256 | 0.2771 | 0.8256 | 0.9086 |
| No log | 6.9474 | 396 | 0.8213 | 0.2771 | 0.8213 | 0.9062 |
| No log | 6.9825 | 398 | 0.7419 | 0.3214 | 0.7419 | 0.8613 |
| No log | 7.0175 | 400 | 0.6181 | 0.4178 | 0.6181 | 0.7862 |
| No log | 7.0526 | 402 | 0.5774 | 0.4882 | 0.5774 | 0.7599 |
| No log | 7.0877 | 404 | 0.6127 | 0.4178 | 0.6127 | 0.7828 |
| No log | 7.1228 | 406 | 0.6829 | 0.4233 | 0.6829 | 0.8264 |
| No log | 7.1579 | 408 | 0.6590 | 0.4128 | 0.6590 | 0.8118 |
| No log | 7.1930 | 410 | 0.5621 | 0.3939 | 0.5621 | 0.7498 |
| No log | 7.2281 | 412 | 0.5165 | 0.3407 | 0.5165 | 0.7187 |
| No log | 7.2632 | 414 | 0.5154 | 0.3412 | 0.5154 | 0.7179 |
| No log | 7.2982 | 416 | 0.5199 | 0.3407 | 0.5199 | 0.7211 |
| No log | 7.3333 | 418 | 0.5527 | 0.3878 | 0.5527 | 0.7434 |
| No log | 7.3684 | 420 | 0.6312 | 0.4178 | 0.6312 | 0.7945 |
| No log | 7.4035 | 422 | 0.6933 | 0.3548 | 0.6933 | 0.8326 |
| No log | 7.4386 | 424 | 0.6885 | 0.3455 | 0.6885 | 0.8298 |
| No log | 7.4737 | 426 | 0.6185 | 0.4178 | 0.6185 | 0.7864 |
| No log | 7.5088 | 428 | 0.5695 | 0.4882 | 0.5695 | 0.7546 |
| No log | 7.5439 | 430 | 0.5888 | 0.4882 | 0.5888 | 0.7673 |
| No log | 7.5789 | 432 | 0.6786 | 0.4067 | 0.6786 | 0.8238 |
| No log | 7.6140 | 434 | 0.7432 | 0.3607 | 0.7432 | 0.8621 |
| No log | 7.6491 | 436 | 0.7585 | 0.3394 | 0.7585 | 0.8709 |
| No log | 7.6842 | 438 | 0.7746 | 0.3394 | 0.7746 | 0.8801 |
| No log | 7.7193 | 440 | 0.7023 | 0.3427 | 0.7023 | 0.8380 |
| No log | 7.7544 | 442 | 0.6486 | 0.3892 | 0.6486 | 0.8054 |
| No log | 7.7895 | 444 | 0.5832 | 0.4112 | 0.5832 | 0.7637 |
| No log | 7.8246 | 446 | 0.5902 | 0.3663 | 0.5902 | 0.7682 |
| No log | 7.8596 | 448 | 0.6096 | 0.4118 | 0.6096 | 0.7808 |
| No log | 7.8947 | 450 | 0.6169 | 0.4118 | 0.6169 | 0.7854 |
| No log | 7.9298 | 452 | 0.6145 | 0.4396 | 0.6145 | 0.7839 |
| No log | 7.9649 | 454 | 0.6860 | 0.3571 | 0.6860 | 0.8283 |
| No log | 8.0 | 456 | 0.7737 | 0.3939 | 0.7737 | 0.8796 |
| No log | 8.0351 | 458 | 0.8372 | 0.2248 | 0.8372 | 0.9150 |
| No log | 8.0702 | 460 | 0.7964 | 0.2520 | 0.7964 | 0.8924 |
| No log | 8.1053 | 462 | 0.7272 | 0.3833 | 0.7272 | 0.8528 |
| No log | 8.1404 | 464 | 0.7090 | 0.3648 | 0.7090 | 0.8420 |
| No log | 8.1754 | 466 | 0.6617 | 0.4495 | 0.6617 | 0.8135 |
| No log | 8.2105 | 468 | 0.6193 | 0.4930 | 0.6193 | 0.7870 |
| No log | 8.2456 | 470 | 0.6318 | 0.4930 | 0.6318 | 0.7949 |
| No log | 8.2807 | 472 | 0.6510 | 0.4930 | 0.6510 | 0.8068 |
| No log | 8.3158 | 474 | 0.6451 | 0.4930 | 0.6451 | 0.8032 |
| No log | 8.3509 | 476 | 0.6143 | 0.4680 | 0.6143 | 0.7837 |
| No log | 8.3860 | 478 | 0.5988 | 0.4563 | 0.5988 | 0.7738 |
| No log | 8.4211 | 480 | 0.5860 | 0.4563 | 0.5860 | 0.7655 |
| No log | 8.4561 | 482 | 0.5721 | 0.4229 | 0.5721 | 0.7564 |
| No log | 8.4912 | 484 | 0.5613 | 0.3508 | 0.5613 | 0.7492 |
| No log | 8.5263 | 486 | 0.5776 | 0.4563 | 0.5776 | 0.7600 |
| No log | 8.5614 | 488 | 0.6191 | 0.4563 | 0.6191 | 0.7868 |
| No log | 8.5965 | 490 | 0.6549 | 0.4495 | 0.6549 | 0.8093 |
| No log | 8.6316 | 492 | 0.7073 | 0.3548 | 0.7073 | 0.8410 |
| No log | 8.6667 | 494 | 0.7424 | 0.3128 | 0.7424 | 0.8616 |
| No log | 8.7018 | 496 | 0.7328 | 0.3128 | 0.7328 | 0.8560 |
| No log | 8.7368 | 498 | 0.6808 | 0.3962 | 0.6808 | 0.8251 |
| 0.4215 | 8.7719 | 500 | 0.6324 | 0.4074 | 0.6324 | 0.7953 |
| 0.4215 | 8.8070 | 502 | 0.6063 | 0.4502 | 0.6063 | 0.7786 |
| 0.4215 | 8.8421 | 504 | 0.5847 | 0.4563 | 0.5847 | 0.7647 |
| 0.4215 | 8.8772 | 506 | 0.5900 | 0.4563 | 0.5900 | 0.7681 |
| 0.4215 | 8.9123 | 508 | 0.6037 | 0.4502 | 0.6037 | 0.7770 |
| 0.4215 | 8.9474 | 510 | 0.6120 | 0.4502 | 0.6120 | 0.7823 |
| 0.4215 | 8.9825 | 512 | 0.6350 | 0.4128 | 0.6350 | 0.7968 |
| 0.4215 | 9.0175 | 514 | 0.6843 | 0.3818 | 0.6843 | 0.8272 |
| 0.4215 | 9.0526 | 516 | 0.7455 | 0.3242 | 0.7455 | 0.8634 |
| 0.4215 | 9.0877 | 518 | 0.7630 | 0.3242 | 0.7630 | 0.8735 |
| 0.4215 | 9.1228 | 520 | 0.7498 | 0.3242 | 0.7498 | 0.8659 |
| 0.4215 | 9.1579 | 522 | 0.7128 | 0.3455 | 0.7128 | 0.8443 |
| 0.4215 | 9.1930 | 524 | 0.6910 | 0.3455 | 0.6910 | 0.8312 |
| 0.4215 | 9.2281 | 526 | 0.6718 | 0.3860 | 0.6718 | 0.8196 |
| 0.4215 | 9.2632 | 528 | 0.6552 | 0.4286 | 0.6552 | 0.8095 |
| 0.4215 | 9.2982 | 530 | 0.6537 | 0.4286 | 0.6537 | 0.8085 |
| 0.4215 | 9.3333 | 532 | 0.6545 | 0.4286 | 0.6545 | 0.8090 |
| 0.4215 | 9.3684 | 534 | 0.6396 | 0.4286 | 0.6396 | 0.7997 |
| 0.4215 | 9.4035 | 536 | 0.6273 | 0.4815 | 0.6273 | 0.7920 |
| 0.4215 | 9.4386 | 538 | 0.6309 | 0.4554 | 0.6309 | 0.7943 |
| 0.4215 | 9.4737 | 540 | 0.6424 | 0.4286 | 0.6424 | 0.8015 |
| 0.4215 | 9.5088 | 542 | 0.6630 | 0.4286 | 0.6630 | 0.8142 |
| 0.4215 | 9.5439 | 544 | 0.6770 | 0.3860 | 0.6770 | 0.8228 |
| 0.4215 | 9.5789 | 546 | 0.6796 | 0.3860 | 0.6796 | 0.8244 |
| 0.4215 | 9.6140 | 548 | 0.6875 | 0.3455 | 0.6875 | 0.8291 |
| 0.4215 | 9.6491 | 550 | 0.6902 | 0.3455 | 0.6902 | 0.8308 |
| 0.4215 | 9.6842 | 552 | 0.6869 | 0.3860 | 0.6869 | 0.8288 |
| 0.4215 | 9.7193 | 554 | 0.6852 | 0.3860 | 0.6852 | 0.8278 |
| 0.4215 | 9.7544 | 556 | 0.6865 | 0.3860 | 0.6865 | 0.8286 |
| 0.4215 | 9.7895 | 558 | 0.6896 | 0.3860 | 0.6896 | 0.8304 |
| 0.4215 | 9.8246 | 560 | 0.6912 | 0.3455 | 0.6912 | 0.8314 |
| 0.4215 | 9.8596 | 562 | 0.6883 | 0.3860 | 0.6883 | 0.8296 |
| 0.4215 | 9.8947 | 564 | 0.6870 | 0.3860 | 0.6870 | 0.8289 |
| 0.4215 | 9.9298 | 566 | 0.6859 | 0.3860 | 0.6859 | 0.8282 |
| 0.4215 | 9.9649 | 568 | 0.6860 | 0.3860 | 0.6860 | 0.8282 |
| 0.4215 | 10.0 | 570 | 0.6863 | 0.3860 | 0.6863 | 0.8285 |
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/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k12_task3_organization
Base model
aubmindlab/bert-base-arabertv02