Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k11_task1_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_k11_task1_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_k11_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k11_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k11_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k11_task1_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: 0.5504
- Qwk: 0.7462
- Mse: 0.5504
- Rmse: 0.7419
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 | 0.0364 | 2 | 4.8527 | -0.0078 | 4.8527 | 2.2029 |
| No log | 0.0727 | 4 | 2.7519 | 0.0588 | 2.7519 | 1.6589 |
| No log | 0.1091 | 6 | 1.9772 | 0.0238 | 1.9772 | 1.4061 |
| No log | 0.1455 | 8 | 1.4885 | 0.1186 | 1.4885 | 1.2201 |
| No log | 0.1818 | 10 | 1.2149 | 0.2645 | 1.2149 | 1.1022 |
| No log | 0.2182 | 12 | 1.7641 | 0.1883 | 1.7641 | 1.3282 |
| No log | 0.2545 | 14 | 1.2933 | 0.3183 | 1.2933 | 1.1372 |
| No log | 0.2909 | 16 | 1.0244 | 0.4194 | 1.0244 | 1.0121 |
| No log | 0.3273 | 18 | 1.0496 | 0.4032 | 1.0496 | 1.0245 |
| No log | 0.3636 | 20 | 1.0004 | 0.4238 | 1.0004 | 1.0002 |
| No log | 0.4 | 22 | 1.1873 | 0.3608 | 1.1873 | 1.0897 |
| No log | 0.4364 | 24 | 1.3648 | 0.3044 | 1.3648 | 1.1682 |
| No log | 0.4727 | 26 | 1.2773 | 0.3415 | 1.2773 | 1.1302 |
| No log | 0.5091 | 28 | 1.0419 | 0.4100 | 1.0419 | 1.0207 |
| No log | 0.5455 | 30 | 0.9072 | 0.5219 | 0.9072 | 0.9525 |
| No log | 0.5818 | 32 | 1.0284 | 0.4897 | 1.0284 | 1.0141 |
| No log | 0.6182 | 34 | 1.0824 | 0.4749 | 1.0824 | 1.0404 |
| No log | 0.6545 | 36 | 1.2791 | 0.4284 | 1.2791 | 1.1310 |
| No log | 0.6909 | 38 | 1.5501 | 0.3131 | 1.5501 | 1.2450 |
| No log | 0.7273 | 40 | 1.3871 | 0.3493 | 1.3871 | 1.1778 |
| No log | 0.7636 | 42 | 0.8287 | 0.5810 | 0.8287 | 0.9103 |
| No log | 0.8 | 44 | 0.7201 | 0.5506 | 0.7201 | 0.8486 |
| No log | 0.8364 | 46 | 0.7200 | 0.5884 | 0.7200 | 0.8485 |
| No log | 0.8727 | 48 | 0.8244 | 0.5671 | 0.8244 | 0.9079 |
| No log | 0.9091 | 50 | 1.1382 | 0.5217 | 1.1382 | 1.0669 |
| No log | 0.9455 | 52 | 0.9845 | 0.5617 | 0.9845 | 0.9922 |
| No log | 0.9818 | 54 | 0.6905 | 0.7118 | 0.6905 | 0.8310 |
| No log | 1.0182 | 56 | 0.6571 | 0.6293 | 0.6571 | 0.8106 |
| No log | 1.0545 | 58 | 0.6571 | 0.6767 | 0.6571 | 0.8106 |
| No log | 1.0909 | 60 | 0.7743 | 0.6083 | 0.7743 | 0.8799 |
| No log | 1.1273 | 62 | 0.9402 | 0.5776 | 0.9402 | 0.9696 |
| No log | 1.1636 | 64 | 0.9935 | 0.5821 | 0.9935 | 0.9968 |
| No log | 1.2 | 66 | 0.9530 | 0.5935 | 0.9530 | 0.9762 |
| No log | 1.2364 | 68 | 0.6705 | 0.6775 | 0.6705 | 0.8188 |
| No log | 1.2727 | 70 | 0.6286 | 0.6915 | 0.6286 | 0.7928 |
| No log | 1.3091 | 72 | 0.7828 | 0.6093 | 0.7828 | 0.8848 |
| No log | 1.3455 | 74 | 1.1194 | 0.5347 | 1.1194 | 1.0580 |
| No log | 1.3818 | 76 | 0.9550 | 0.5820 | 0.9550 | 0.9772 |
| No log | 1.4182 | 78 | 0.6351 | 0.7058 | 0.6351 | 0.7969 |
| No log | 1.4545 | 80 | 0.5806 | 0.7125 | 0.5806 | 0.7619 |
| No log | 1.4909 | 82 | 0.6107 | 0.7320 | 0.6107 | 0.7815 |
| No log | 1.5273 | 84 | 0.7609 | 0.6025 | 0.7609 | 0.8723 |
| No log | 1.5636 | 86 | 0.8776 | 0.5637 | 0.8776 | 0.9368 |
| No log | 1.6 | 88 | 0.8097 | 0.5759 | 0.8097 | 0.8998 |
| No log | 1.6364 | 90 | 0.7450 | 0.6570 | 0.7450 | 0.8631 |
| No log | 1.6727 | 92 | 0.7308 | 0.6845 | 0.7308 | 0.8549 |
| No log | 1.7091 | 94 | 0.6944 | 0.7094 | 0.6944 | 0.8333 |
| No log | 1.7455 | 96 | 0.7874 | 0.6831 | 0.7874 | 0.8874 |
| No log | 1.7818 | 98 | 0.9714 | 0.6011 | 0.9714 | 0.9856 |
| No log | 1.8182 | 100 | 1.3316 | 0.4976 | 1.3316 | 1.1539 |
| No log | 1.8545 | 102 | 1.3030 | 0.4971 | 1.3030 | 1.1415 |
| No log | 1.8909 | 104 | 1.4786 | 0.4345 | 1.4786 | 1.2160 |
| No log | 1.9273 | 106 | 1.2275 | 0.5204 | 1.2275 | 1.1079 |
| No log | 1.9636 | 108 | 0.8186 | 0.6463 | 0.8186 | 0.9048 |
| No log | 2.0 | 110 | 0.6216 | 0.7646 | 0.6216 | 0.7884 |
| No log | 2.0364 | 112 | 0.5790 | 0.7432 | 0.5790 | 0.7609 |
| No log | 2.0727 | 114 | 0.5640 | 0.7471 | 0.5640 | 0.7510 |
| No log | 2.1091 | 116 | 0.5815 | 0.7617 | 0.5815 | 0.7626 |
| No log | 2.1455 | 118 | 0.5889 | 0.7586 | 0.5889 | 0.7674 |
| No log | 2.1818 | 120 | 0.5591 | 0.7660 | 0.5591 | 0.7477 |
| No log | 2.2182 | 122 | 0.5636 | 0.7562 | 0.5636 | 0.7507 |
| No log | 2.2545 | 124 | 0.5574 | 0.7558 | 0.5574 | 0.7466 |
| No log | 2.2909 | 126 | 0.5555 | 0.7583 | 0.5555 | 0.7453 |
| No log | 2.3273 | 128 | 0.6083 | 0.6912 | 0.6083 | 0.7800 |
| No log | 2.3636 | 130 | 0.7729 | 0.6513 | 0.7729 | 0.8792 |
| No log | 2.4 | 132 | 0.7310 | 0.6533 | 0.7310 | 0.8550 |
| No log | 2.4364 | 134 | 0.6089 | 0.7516 | 0.6089 | 0.7803 |
| No log | 2.4727 | 136 | 0.6008 | 0.7682 | 0.6008 | 0.7751 |
| No log | 2.5091 | 138 | 0.7172 | 0.6693 | 0.7172 | 0.8469 |
| No log | 2.5455 | 140 | 0.8008 | 0.6345 | 0.8008 | 0.8949 |
| No log | 2.5818 | 142 | 0.7209 | 0.6508 | 0.7209 | 0.8490 |
| No log | 2.6182 | 144 | 0.6712 | 0.6808 | 0.6712 | 0.8193 |
| No log | 2.6545 | 146 | 0.6630 | 0.6551 | 0.6630 | 0.8143 |
| No log | 2.6909 | 148 | 0.7684 | 0.6585 | 0.7684 | 0.8766 |
| No log | 2.7273 | 150 | 0.8530 | 0.6343 | 0.8530 | 0.9236 |
| No log | 2.7636 | 152 | 0.7888 | 0.6529 | 0.7888 | 0.8881 |
| No log | 2.8 | 154 | 0.5983 | 0.7367 | 0.5983 | 0.7735 |
| No log | 2.8364 | 156 | 0.5537 | 0.7687 | 0.5537 | 0.7441 |
| No log | 2.8727 | 158 | 0.5855 | 0.7396 | 0.5855 | 0.7652 |
| No log | 2.9091 | 160 | 0.6231 | 0.7356 | 0.6231 | 0.7894 |
| No log | 2.9455 | 162 | 0.5857 | 0.7490 | 0.5857 | 0.7653 |
| No log | 2.9818 | 164 | 0.5471 | 0.7617 | 0.5471 | 0.7397 |
| No log | 3.0182 | 166 | 0.5408 | 0.7562 | 0.5408 | 0.7354 |
| No log | 3.0545 | 168 | 0.5668 | 0.7375 | 0.5668 | 0.7529 |
| No log | 3.0909 | 170 | 0.6132 | 0.6943 | 0.6132 | 0.7831 |
| No log | 3.1273 | 172 | 0.6455 | 0.6889 | 0.6455 | 0.8035 |
| No log | 3.1636 | 174 | 0.7344 | 0.6789 | 0.7344 | 0.8570 |
| No log | 3.2 | 176 | 0.7255 | 0.6922 | 0.7255 | 0.8518 |
| No log | 3.2364 | 178 | 0.7697 | 0.6785 | 0.7697 | 0.8773 |
| No log | 3.2727 | 180 | 0.9586 | 0.5958 | 0.9586 | 0.9791 |
| No log | 3.3091 | 182 | 0.9611 | 0.5992 | 0.9611 | 0.9803 |
| No log | 3.3455 | 184 | 0.7910 | 0.6559 | 0.7910 | 0.8894 |
| No log | 3.3818 | 186 | 0.5939 | 0.7469 | 0.5939 | 0.7707 |
| No log | 3.4182 | 188 | 0.5942 | 0.7347 | 0.5942 | 0.7709 |
| No log | 3.4545 | 190 | 0.6509 | 0.7198 | 0.6509 | 0.8068 |
| No log | 3.4909 | 192 | 0.6503 | 0.7173 | 0.6503 | 0.8064 |
| No log | 3.5273 | 194 | 0.5891 | 0.7391 | 0.5891 | 0.7675 |
| No log | 3.5636 | 196 | 0.5794 | 0.7417 | 0.5794 | 0.7612 |
| No log | 3.6 | 198 | 0.6094 | 0.7043 | 0.6094 | 0.7806 |
| No log | 3.6364 | 200 | 0.5789 | 0.7448 | 0.5789 | 0.7609 |
| No log | 3.6727 | 202 | 0.6060 | 0.7384 | 0.6060 | 0.7785 |
| No log | 3.7091 | 204 | 0.6907 | 0.7016 | 0.6907 | 0.8311 |
| No log | 3.7455 | 206 | 0.6833 | 0.7029 | 0.6833 | 0.8266 |
| No log | 3.7818 | 208 | 0.5862 | 0.7302 | 0.5862 | 0.7656 |
| No log | 3.8182 | 210 | 0.6265 | 0.6892 | 0.6265 | 0.7915 |
| No log | 3.8545 | 212 | 0.8101 | 0.6449 | 0.8101 | 0.9000 |
| No log | 3.8909 | 214 | 0.9035 | 0.6062 | 0.9035 | 0.9505 |
| No log | 3.9273 | 216 | 0.9022 | 0.6067 | 0.9022 | 0.9498 |
| No log | 3.9636 | 218 | 0.7550 | 0.6662 | 0.7550 | 0.8689 |
| No log | 4.0 | 220 | 0.6030 | 0.6975 | 0.6030 | 0.7766 |
| No log | 4.0364 | 222 | 0.5776 | 0.7351 | 0.5776 | 0.7600 |
| No log | 4.0727 | 224 | 0.5820 | 0.7312 | 0.5820 | 0.7629 |
| No log | 4.1091 | 226 | 0.5885 | 0.7166 | 0.5885 | 0.7671 |
| No log | 4.1455 | 228 | 0.6246 | 0.7084 | 0.6246 | 0.7903 |
| No log | 4.1818 | 230 | 0.6669 | 0.6853 | 0.6669 | 0.8166 |
| No log | 4.2182 | 232 | 0.6126 | 0.7260 | 0.6126 | 0.7827 |
| No log | 4.2545 | 234 | 0.5711 | 0.7495 | 0.5711 | 0.7557 |
| No log | 4.2909 | 236 | 0.5869 | 0.7189 | 0.5869 | 0.7661 |
| No log | 4.3273 | 238 | 0.5875 | 0.7253 | 0.5875 | 0.7665 |
| No log | 4.3636 | 240 | 0.5781 | 0.7222 | 0.5781 | 0.7603 |
| No log | 4.4 | 242 | 0.5905 | 0.7558 | 0.5905 | 0.7684 |
| No log | 4.4364 | 244 | 0.5905 | 0.7646 | 0.5905 | 0.7684 |
| No log | 4.4727 | 246 | 0.5644 | 0.7386 | 0.5644 | 0.7513 |
| No log | 4.5091 | 248 | 0.6166 | 0.7133 | 0.6166 | 0.7853 |
| No log | 4.5455 | 250 | 0.7255 | 0.6916 | 0.7255 | 0.8518 |
| No log | 4.5818 | 252 | 0.7354 | 0.6819 | 0.7354 | 0.8575 |
| No log | 4.6182 | 254 | 0.6928 | 0.7186 | 0.6928 | 0.8324 |
| No log | 4.6545 | 256 | 0.6224 | 0.7222 | 0.6224 | 0.7889 |
| No log | 4.6909 | 258 | 0.5877 | 0.7304 | 0.5877 | 0.7666 |
| No log | 4.7273 | 260 | 0.5914 | 0.7316 | 0.5914 | 0.7690 |
| No log | 4.7636 | 262 | 0.5937 | 0.7235 | 0.5937 | 0.7705 |
| No log | 4.8 | 264 | 0.5946 | 0.7344 | 0.5946 | 0.7711 |
| No log | 4.8364 | 266 | 0.5946 | 0.7301 | 0.5946 | 0.7711 |
| No log | 4.8727 | 268 | 0.5877 | 0.7338 | 0.5877 | 0.7666 |
| No log | 4.9091 | 270 | 0.5788 | 0.7267 | 0.5788 | 0.7608 |
| No log | 4.9455 | 272 | 0.5782 | 0.7273 | 0.5782 | 0.7604 |
| No log | 4.9818 | 274 | 0.5636 | 0.7246 | 0.5636 | 0.7507 |
| No log | 5.0182 | 276 | 0.5613 | 0.7123 | 0.5613 | 0.7492 |
| No log | 5.0545 | 278 | 0.5570 | 0.7158 | 0.5570 | 0.7463 |
| No log | 5.0909 | 280 | 0.5734 | 0.6829 | 0.5734 | 0.7572 |
| No log | 5.1273 | 282 | 0.5858 | 0.6805 | 0.5858 | 0.7653 |
| No log | 5.1636 | 284 | 0.5829 | 0.6805 | 0.5829 | 0.7635 |
| No log | 5.2 | 286 | 0.5852 | 0.6917 | 0.5852 | 0.7650 |
| No log | 5.2364 | 288 | 0.6193 | 0.7130 | 0.6193 | 0.7870 |
| No log | 5.2727 | 290 | 0.6314 | 0.7161 | 0.6314 | 0.7946 |
| No log | 5.3091 | 292 | 0.5820 | 0.7035 | 0.5820 | 0.7629 |
| No log | 5.3455 | 294 | 0.5692 | 0.7256 | 0.5692 | 0.7544 |
| No log | 5.3818 | 296 | 0.5592 | 0.7144 | 0.5592 | 0.7478 |
| No log | 5.4182 | 298 | 0.5569 | 0.7037 | 0.5569 | 0.7462 |
| No log | 5.4545 | 300 | 0.5533 | 0.7236 | 0.5533 | 0.7438 |
| No log | 5.4909 | 302 | 0.5564 | 0.7515 | 0.5564 | 0.7460 |
| No log | 5.5273 | 304 | 0.5554 | 0.7144 | 0.5554 | 0.7453 |
| No log | 5.5636 | 306 | 0.5844 | 0.6696 | 0.5844 | 0.7645 |
| No log | 5.6 | 308 | 0.6187 | 0.7076 | 0.6187 | 0.7866 |
| No log | 5.6364 | 310 | 0.6020 | 0.7073 | 0.6020 | 0.7759 |
| No log | 5.6727 | 312 | 0.5592 | 0.7324 | 0.5592 | 0.7478 |
| No log | 5.7091 | 314 | 0.5674 | 0.7417 | 0.5674 | 0.7532 |
| No log | 5.7455 | 316 | 0.5850 | 0.7227 | 0.5850 | 0.7648 |
| No log | 5.7818 | 318 | 0.5724 | 0.7369 | 0.5724 | 0.7566 |
| No log | 5.8182 | 320 | 0.5784 | 0.7432 | 0.5784 | 0.7605 |
| No log | 5.8545 | 322 | 0.5836 | 0.7357 | 0.5836 | 0.7639 |
| No log | 5.8909 | 324 | 0.5748 | 0.7434 | 0.5748 | 0.7581 |
| No log | 5.9273 | 326 | 0.6035 | 0.7315 | 0.6035 | 0.7769 |
| No log | 5.9636 | 328 | 0.6659 | 0.7297 | 0.6659 | 0.8160 |
| No log | 6.0 | 330 | 0.6818 | 0.7313 | 0.6818 | 0.8257 |
| No log | 6.0364 | 332 | 0.6349 | 0.7282 | 0.6349 | 0.7968 |
| No log | 6.0727 | 334 | 0.5939 | 0.7358 | 0.5939 | 0.7707 |
| No log | 6.1091 | 336 | 0.5622 | 0.7636 | 0.5622 | 0.7498 |
| No log | 6.1455 | 338 | 0.5503 | 0.7632 | 0.5503 | 0.7418 |
| No log | 6.1818 | 340 | 0.5487 | 0.7581 | 0.5487 | 0.7407 |
| No log | 6.2182 | 342 | 0.5770 | 0.7468 | 0.5770 | 0.7596 |
| No log | 6.2545 | 344 | 0.6712 | 0.7294 | 0.6712 | 0.8193 |
| No log | 6.2909 | 346 | 0.7541 | 0.7012 | 0.7541 | 0.8684 |
| No log | 6.3273 | 348 | 0.7607 | 0.7055 | 0.7607 | 0.8722 |
| No log | 6.3636 | 350 | 0.6885 | 0.7171 | 0.6885 | 0.8297 |
| No log | 6.4 | 352 | 0.6135 | 0.7434 | 0.6135 | 0.7832 |
| No log | 6.4364 | 354 | 0.5849 | 0.7461 | 0.5849 | 0.7648 |
| No log | 6.4727 | 356 | 0.5733 | 0.7578 | 0.5733 | 0.7572 |
| No log | 6.5091 | 358 | 0.5600 | 0.7597 | 0.5600 | 0.7483 |
| No log | 6.5455 | 360 | 0.5493 | 0.7746 | 0.5493 | 0.7412 |
| No log | 6.5818 | 362 | 0.5498 | 0.7698 | 0.5498 | 0.7415 |
| No log | 6.6182 | 364 | 0.5646 | 0.7528 | 0.5646 | 0.7514 |
| No log | 6.6545 | 366 | 0.5879 | 0.7504 | 0.5879 | 0.7668 |
| No log | 6.6909 | 368 | 0.5802 | 0.7528 | 0.5802 | 0.7617 |
| No log | 6.7273 | 370 | 0.5851 | 0.7484 | 0.5851 | 0.7649 |
| No log | 6.7636 | 372 | 0.5686 | 0.7515 | 0.5686 | 0.7541 |
| No log | 6.8 | 374 | 0.5527 | 0.7439 | 0.5527 | 0.7434 |
| No log | 6.8364 | 376 | 0.5426 | 0.7693 | 0.5426 | 0.7366 |
| No log | 6.8727 | 378 | 0.5341 | 0.7693 | 0.5341 | 0.7308 |
| No log | 6.9091 | 380 | 0.5245 | 0.7587 | 0.5245 | 0.7242 |
| No log | 6.9455 | 382 | 0.5220 | 0.7501 | 0.5220 | 0.7225 |
| No log | 6.9818 | 384 | 0.5387 | 0.7287 | 0.5387 | 0.7340 |
| No log | 7.0182 | 386 | 0.5425 | 0.7349 | 0.5425 | 0.7365 |
| No log | 7.0545 | 388 | 0.5243 | 0.7398 | 0.5243 | 0.7241 |
| No log | 7.0909 | 390 | 0.5227 | 0.7576 | 0.5227 | 0.7230 |
| No log | 7.1273 | 392 | 0.5474 | 0.7619 | 0.5474 | 0.7399 |
| No log | 7.1636 | 394 | 0.5519 | 0.7619 | 0.5519 | 0.7429 |
| No log | 7.2 | 396 | 0.5383 | 0.7735 | 0.5383 | 0.7337 |
| No log | 7.2364 | 398 | 0.5248 | 0.7577 | 0.5248 | 0.7244 |
| No log | 7.2727 | 400 | 0.5242 | 0.7603 | 0.5242 | 0.7240 |
| No log | 7.3091 | 402 | 0.5285 | 0.7577 | 0.5285 | 0.7270 |
| No log | 7.3455 | 404 | 0.5528 | 0.7498 | 0.5528 | 0.7435 |
| No log | 7.3818 | 406 | 0.5965 | 0.7522 | 0.5965 | 0.7723 |
| No log | 7.4182 | 408 | 0.6195 | 0.7478 | 0.6195 | 0.7871 |
| No log | 7.4545 | 410 | 0.6047 | 0.7453 | 0.6047 | 0.7776 |
| No log | 7.4909 | 412 | 0.5948 | 0.7399 | 0.5948 | 0.7712 |
| No log | 7.5273 | 414 | 0.5739 | 0.7553 | 0.5739 | 0.7576 |
| No log | 7.5636 | 416 | 0.5686 | 0.7553 | 0.5686 | 0.7541 |
| No log | 7.6 | 418 | 0.5590 | 0.7553 | 0.5590 | 0.7476 |
| No log | 7.6364 | 420 | 0.5554 | 0.7558 | 0.5554 | 0.7452 |
| No log | 7.6727 | 422 | 0.5537 | 0.7412 | 0.5537 | 0.7441 |
| No log | 7.7091 | 424 | 0.5550 | 0.7412 | 0.5550 | 0.7450 |
| No log | 7.7455 | 426 | 0.5517 | 0.7412 | 0.5517 | 0.7428 |
| No log | 7.7818 | 428 | 0.5493 | 0.7558 | 0.5493 | 0.7412 |
| No log | 7.8182 | 430 | 0.5502 | 0.7491 | 0.5502 | 0.7418 |
| No log | 7.8545 | 432 | 0.5508 | 0.7544 | 0.5508 | 0.7422 |
| No log | 7.8909 | 434 | 0.5620 | 0.7474 | 0.5620 | 0.7497 |
| No log | 7.9273 | 436 | 0.5629 | 0.7474 | 0.5629 | 0.7503 |
| No log | 7.9636 | 438 | 0.5519 | 0.7480 | 0.5519 | 0.7429 |
| No log | 8.0 | 440 | 0.5447 | 0.7488 | 0.5447 | 0.7380 |
| No log | 8.0364 | 442 | 0.5455 | 0.7532 | 0.5455 | 0.7386 |
| No log | 8.0727 | 444 | 0.5436 | 0.7581 | 0.5436 | 0.7373 |
| No log | 8.1091 | 446 | 0.5417 | 0.7475 | 0.5417 | 0.7360 |
| No log | 8.1455 | 448 | 0.5426 | 0.7377 | 0.5426 | 0.7366 |
| No log | 8.1818 | 450 | 0.5420 | 0.7493 | 0.5420 | 0.7362 |
| No log | 8.2182 | 452 | 0.5410 | 0.7418 | 0.5410 | 0.7355 |
| No log | 8.2545 | 454 | 0.5475 | 0.7467 | 0.5475 | 0.7400 |
| No log | 8.2909 | 456 | 0.5508 | 0.7506 | 0.5508 | 0.7422 |
| No log | 8.3273 | 458 | 0.5482 | 0.7467 | 0.5482 | 0.7404 |
| No log | 8.3636 | 460 | 0.5479 | 0.7506 | 0.5479 | 0.7402 |
| No log | 8.4 | 462 | 0.5459 | 0.7470 | 0.5459 | 0.7388 |
| No log | 8.4364 | 464 | 0.5462 | 0.7470 | 0.5462 | 0.7391 |
| No log | 8.4727 | 466 | 0.5508 | 0.7470 | 0.5508 | 0.7422 |
| No log | 8.5091 | 468 | 0.5559 | 0.7462 | 0.5559 | 0.7456 |
| No log | 8.5455 | 470 | 0.5640 | 0.7480 | 0.5640 | 0.7510 |
| No log | 8.5818 | 472 | 0.5686 | 0.7480 | 0.5686 | 0.7541 |
| No log | 8.6182 | 474 | 0.5754 | 0.7430 | 0.5754 | 0.7585 |
| No log | 8.6545 | 476 | 0.5833 | 0.7385 | 0.5833 | 0.7638 |
| No log | 8.6909 | 478 | 0.5950 | 0.7335 | 0.5950 | 0.7714 |
| No log | 8.7273 | 480 | 0.6014 | 0.7374 | 0.6014 | 0.7755 |
| No log | 8.7636 | 482 | 0.5937 | 0.7441 | 0.5937 | 0.7705 |
| No log | 8.8 | 484 | 0.5743 | 0.7510 | 0.5743 | 0.7579 |
| No log | 8.8364 | 486 | 0.5542 | 0.7498 | 0.5542 | 0.7445 |
| No log | 8.8727 | 488 | 0.5423 | 0.7422 | 0.5423 | 0.7364 |
| No log | 8.9091 | 490 | 0.5387 | 0.7484 | 0.5387 | 0.7339 |
| No log | 8.9455 | 492 | 0.5400 | 0.7484 | 0.5400 | 0.7348 |
| No log | 8.9818 | 494 | 0.5417 | 0.7484 | 0.5417 | 0.7360 |
| No log | 9.0182 | 496 | 0.5425 | 0.7484 | 0.5425 | 0.7365 |
| No log | 9.0545 | 498 | 0.5434 | 0.7466 | 0.5434 | 0.7371 |
| 0.3439 | 9.0909 | 500 | 0.5448 | 0.7466 | 0.5448 | 0.7381 |
| 0.3439 | 9.1273 | 502 | 0.5482 | 0.7491 | 0.5482 | 0.7404 |
| 0.3439 | 9.1636 | 504 | 0.5564 | 0.7462 | 0.5564 | 0.7459 |
| 0.3439 | 9.2 | 506 | 0.5663 | 0.7480 | 0.5663 | 0.7526 |
| 0.3439 | 9.2364 | 508 | 0.5741 | 0.7480 | 0.5741 | 0.7577 |
| 0.3439 | 9.2727 | 510 | 0.5760 | 0.7436 | 0.5760 | 0.7589 |
| 0.3439 | 9.3091 | 512 | 0.5797 | 0.7436 | 0.5797 | 0.7614 |
| 0.3439 | 9.3455 | 514 | 0.5786 | 0.7436 | 0.5786 | 0.7607 |
| 0.3439 | 9.3818 | 516 | 0.5767 | 0.7436 | 0.5767 | 0.7594 |
| 0.3439 | 9.4182 | 518 | 0.5759 | 0.7418 | 0.5759 | 0.7589 |
| 0.3439 | 9.4545 | 520 | 0.5717 | 0.7462 | 0.5717 | 0.7561 |
| 0.3439 | 9.4909 | 522 | 0.5688 | 0.7462 | 0.5688 | 0.7542 |
| 0.3439 | 9.5273 | 524 | 0.5675 | 0.7462 | 0.5675 | 0.7533 |
| 0.3439 | 9.5636 | 526 | 0.5647 | 0.7462 | 0.5647 | 0.7515 |
| 0.3439 | 9.6 | 528 | 0.5622 | 0.7462 | 0.5622 | 0.7498 |
| 0.3439 | 9.6364 | 530 | 0.5591 | 0.7462 | 0.5591 | 0.7477 |
| 0.3439 | 9.6727 | 532 | 0.5573 | 0.7462 | 0.5573 | 0.7465 |
| 0.3439 | 9.7091 | 534 | 0.5555 | 0.7462 | 0.5555 | 0.7453 |
| 0.3439 | 9.7455 | 536 | 0.5539 | 0.7462 | 0.5539 | 0.7443 |
| 0.3439 | 9.7818 | 538 | 0.5524 | 0.7462 | 0.5524 | 0.7432 |
| 0.3439 | 9.8182 | 540 | 0.5517 | 0.7462 | 0.5517 | 0.7428 |
| 0.3439 | 9.8545 | 542 | 0.5509 | 0.7462 | 0.5509 | 0.7422 |
| 0.3439 | 9.8909 | 544 | 0.5504 | 0.7462 | 0.5504 | 0.7419 |
| 0.3439 | 9.9273 | 546 | 0.5505 | 0.7462 | 0.5505 | 0.7420 |
| 0.3439 | 9.9636 | 548 | 0.5505 | 0.7462 | 0.5505 | 0.7419 |
| 0.3439 | 10.0 | 550 | 0.5504 | 0.7462 | 0.5504 | 0.7419 |
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_k11_task1_organization
Base model
aubmindlab/bert-base-arabertv02