Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k10_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: 0.8116
- Qwk: 0.4955
- Mse: 0.8116
- Rmse: 0.9009
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 | 0.0385 | 2 | 4.1245 | -0.0134 | 4.1245 | 2.0309 |
| No log | 0.0769 | 4 | 2.1989 | 0.0131 | 2.1989 | 1.4829 |
| No log | 0.1154 | 6 | 1.2689 | 0.0659 | 1.2689 | 1.1265 |
| No log | 0.1538 | 8 | 0.9825 | -0.0117 | 0.9825 | 0.9912 |
| No log | 0.1923 | 10 | 0.7188 | 0.2113 | 0.7188 | 0.8478 |
| No log | 0.2308 | 12 | 0.6448 | 0.2548 | 0.6448 | 0.8030 |
| No log | 0.2692 | 14 | 0.6599 | 0.2765 | 0.6599 | 0.8123 |
| No log | 0.3077 | 16 | 1.1202 | 0.0997 | 1.1202 | 1.0584 |
| No log | 0.3462 | 18 | 2.2937 | 0.0475 | 2.2937 | 1.5145 |
| No log | 0.3846 | 20 | 1.6601 | 0.0906 | 1.6601 | 1.2884 |
| No log | 0.4231 | 22 | 0.7934 | 0.3583 | 0.7934 | 0.8907 |
| No log | 0.4615 | 24 | 0.6916 | 0.3434 | 0.6916 | 0.8316 |
| No log | 0.5 | 26 | 0.7866 | 0.3457 | 0.7866 | 0.8869 |
| No log | 0.5385 | 28 | 0.9444 | 0.2303 | 0.9444 | 0.9718 |
| No log | 0.5769 | 30 | 0.9870 | 0.1937 | 0.9870 | 0.9935 |
| No log | 0.6154 | 32 | 0.9021 | 0.2317 | 0.9021 | 0.9498 |
| No log | 0.6538 | 34 | 0.7455 | 0.2974 | 0.7455 | 0.8634 |
| No log | 0.6923 | 36 | 0.6824 | 0.3014 | 0.6824 | 0.8261 |
| No log | 0.7308 | 38 | 0.7090 | 0.4063 | 0.7090 | 0.8420 |
| No log | 0.7692 | 40 | 0.7797 | 0.4473 | 0.7797 | 0.8830 |
| No log | 0.8077 | 42 | 1.4140 | 0.2468 | 1.4140 | 1.1891 |
| No log | 0.8462 | 44 | 2.0402 | 0.2154 | 2.0402 | 1.4283 |
| No log | 0.8846 | 46 | 1.5116 | 0.2524 | 1.5116 | 1.2295 |
| No log | 0.9231 | 48 | 0.8046 | 0.4108 | 0.8046 | 0.8970 |
| No log | 0.9615 | 50 | 0.5347 | 0.5263 | 0.5347 | 0.7312 |
| No log | 1.0 | 52 | 0.5272 | 0.5381 | 0.5272 | 0.7261 |
| No log | 1.0385 | 54 | 0.5242 | 0.5486 | 0.5242 | 0.7240 |
| No log | 1.0769 | 56 | 0.6134 | 0.4241 | 0.6134 | 0.7832 |
| No log | 1.1154 | 58 | 1.0388 | 0.3121 | 1.0388 | 1.0192 |
| No log | 1.1538 | 60 | 1.2765 | 0.2321 | 1.2765 | 1.1298 |
| No log | 1.1923 | 62 | 1.0182 | 0.2984 | 1.0182 | 1.0091 |
| No log | 1.2308 | 64 | 0.6416 | 0.4745 | 0.6416 | 0.8010 |
| No log | 1.2692 | 66 | 0.5238 | 0.5283 | 0.5238 | 0.7237 |
| No log | 1.3077 | 68 | 0.5184 | 0.5097 | 0.5184 | 0.7200 |
| No log | 1.3462 | 70 | 0.5868 | 0.4673 | 0.5868 | 0.7660 |
| No log | 1.3846 | 72 | 0.8020 | 0.3270 | 0.8020 | 0.8955 |
| No log | 1.4231 | 74 | 1.2647 | 0.2633 | 1.2647 | 1.1246 |
| No log | 1.4615 | 76 | 1.3836 | 0.2743 | 1.3836 | 1.1763 |
| No log | 1.5 | 78 | 1.1635 | 0.3030 | 1.1635 | 1.0787 |
| No log | 1.5385 | 80 | 0.8344 | 0.4281 | 0.8344 | 0.9134 |
| No log | 1.5769 | 82 | 0.6734 | 0.4980 | 0.6734 | 0.8206 |
| No log | 1.6154 | 84 | 0.6113 | 0.4882 | 0.6113 | 0.7819 |
| No log | 1.6538 | 86 | 0.6278 | 0.4868 | 0.6278 | 0.7923 |
| No log | 1.6923 | 88 | 0.6328 | 0.4704 | 0.6328 | 0.7955 |
| No log | 1.7308 | 90 | 0.6979 | 0.4765 | 0.6979 | 0.8354 |
| No log | 1.7692 | 92 | 0.7088 | 0.4733 | 0.7088 | 0.8419 |
| No log | 1.8077 | 94 | 0.6545 | 0.4919 | 0.6545 | 0.8090 |
| No log | 1.8462 | 96 | 0.5761 | 0.5239 | 0.5761 | 0.7590 |
| No log | 1.8846 | 98 | 0.5705 | 0.5409 | 0.5705 | 0.7553 |
| No log | 1.9231 | 100 | 0.6772 | 0.5264 | 0.6772 | 0.8229 |
| No log | 1.9615 | 102 | 0.9337 | 0.4601 | 0.9337 | 0.9663 |
| No log | 2.0 | 104 | 1.3041 | 0.4417 | 1.3041 | 1.1420 |
| No log | 2.0385 | 106 | 1.1758 | 0.4419 | 1.1758 | 1.0843 |
| No log | 2.0769 | 108 | 0.9855 | 0.4611 | 0.9855 | 0.9927 |
| No log | 2.1154 | 110 | 0.9195 | 0.4127 | 0.9195 | 0.9589 |
| No log | 2.1538 | 112 | 0.9137 | 0.4316 | 0.9137 | 0.9559 |
| No log | 2.1923 | 114 | 0.8992 | 0.4273 | 0.8992 | 0.9483 |
| No log | 2.2308 | 116 | 1.0507 | 0.4325 | 1.0507 | 1.0251 |
| No log | 2.2692 | 118 | 1.1527 | 0.4153 | 1.1527 | 1.0737 |
| No log | 2.3077 | 120 | 1.0863 | 0.4207 | 1.0863 | 1.0423 |
| No log | 2.3462 | 122 | 1.0051 | 0.4342 | 1.0051 | 1.0026 |
| No log | 2.3846 | 124 | 1.0299 | 0.4237 | 1.0299 | 1.0148 |
| No log | 2.4231 | 126 | 1.0137 | 0.4327 | 1.0137 | 1.0068 |
| No log | 2.4615 | 128 | 0.9849 | 0.4342 | 0.9849 | 0.9924 |
| No log | 2.5 | 130 | 0.9053 | 0.4488 | 0.9053 | 0.9515 |
| No log | 2.5385 | 132 | 0.8818 | 0.4550 | 0.8818 | 0.9391 |
| No log | 2.5769 | 134 | 0.8512 | 0.4770 | 0.8512 | 0.9226 |
| No log | 2.6154 | 136 | 0.8666 | 0.4217 | 0.8666 | 0.9309 |
| No log | 2.6538 | 138 | 0.8111 | 0.4804 | 0.8111 | 0.9006 |
| No log | 2.6923 | 140 | 0.7704 | 0.5194 | 0.7704 | 0.8777 |
| No log | 2.7308 | 142 | 0.7717 | 0.4859 | 0.7717 | 0.8785 |
| No log | 2.7692 | 144 | 0.8072 | 0.5230 | 0.8072 | 0.8984 |
| No log | 2.8077 | 146 | 0.9168 | 0.4842 | 0.9168 | 0.9575 |
| No log | 2.8462 | 148 | 0.9635 | 0.4617 | 0.9635 | 0.9816 |
| No log | 2.8846 | 150 | 0.9223 | 0.4722 | 0.9223 | 0.9604 |
| No log | 2.9231 | 152 | 0.9472 | 0.4894 | 0.9472 | 0.9733 |
| No log | 2.9615 | 154 | 1.1430 | 0.4394 | 1.1430 | 1.0691 |
| No log | 3.0 | 156 | 1.5623 | 0.3145 | 1.5623 | 1.2499 |
| No log | 3.0385 | 158 | 1.6368 | 0.3129 | 1.6368 | 1.2794 |
| No log | 3.0769 | 160 | 1.3379 | 0.3366 | 1.3379 | 1.1567 |
| No log | 3.1154 | 162 | 0.9773 | 0.4534 | 0.9773 | 0.9886 |
| No log | 3.1538 | 164 | 0.8182 | 0.4918 | 0.8182 | 0.9046 |
| No log | 3.1923 | 166 | 0.7708 | 0.4946 | 0.7708 | 0.8780 |
| No log | 3.2308 | 168 | 0.7807 | 0.4984 | 0.7807 | 0.8836 |
| No log | 3.2692 | 170 | 0.9629 | 0.4215 | 0.9629 | 0.9813 |
| No log | 3.3077 | 172 | 1.2950 | 0.3717 | 1.2950 | 1.1380 |
| No log | 3.3462 | 174 | 1.3334 | 0.3274 | 1.3334 | 1.1547 |
| No log | 3.3846 | 176 | 1.0691 | 0.3935 | 1.0691 | 1.0340 |
| No log | 3.4231 | 178 | 0.7471 | 0.5078 | 0.7471 | 0.8643 |
| No log | 3.4615 | 180 | 0.6612 | 0.5088 | 0.6612 | 0.8131 |
| No log | 3.5 | 182 | 0.6541 | 0.5088 | 0.6541 | 0.8088 |
| No log | 3.5385 | 184 | 0.6883 | 0.5146 | 0.6883 | 0.8297 |
| No log | 3.5769 | 186 | 0.7637 | 0.4817 | 0.7637 | 0.8739 |
| No log | 3.6154 | 188 | 0.8275 | 0.4796 | 0.8275 | 0.9097 |
| No log | 3.6538 | 190 | 0.7820 | 0.5157 | 0.7820 | 0.8843 |
| No log | 3.6923 | 192 | 0.7678 | 0.4905 | 0.7678 | 0.8763 |
| No log | 3.7308 | 194 | 0.8062 | 0.4967 | 0.8062 | 0.8979 |
| No log | 3.7692 | 196 | 0.8705 | 0.5059 | 0.8705 | 0.9330 |
| No log | 3.8077 | 198 | 0.9335 | 0.4823 | 0.9335 | 0.9662 |
| No log | 3.8462 | 200 | 1.0731 | 0.4190 | 1.0731 | 1.0359 |
| No log | 3.8846 | 202 | 1.1728 | 0.4040 | 1.1728 | 1.0829 |
| No log | 3.9231 | 204 | 1.0514 | 0.4218 | 1.0514 | 1.0254 |
| No log | 3.9615 | 206 | 0.8802 | 0.4977 | 0.8802 | 0.9382 |
| No log | 4.0 | 208 | 0.8229 | 0.5510 | 0.8229 | 0.9072 |
| No log | 4.0385 | 210 | 0.7902 | 0.5667 | 0.7902 | 0.8889 |
| No log | 4.0769 | 212 | 0.7799 | 0.4869 | 0.7799 | 0.8831 |
| No log | 4.1154 | 214 | 0.8432 | 0.4761 | 0.8432 | 0.9183 |
| No log | 4.1538 | 216 | 0.9036 | 0.4663 | 0.9036 | 0.9506 |
| No log | 4.1923 | 218 | 0.9342 | 0.4675 | 0.9342 | 0.9666 |
| No log | 4.2308 | 220 | 0.8331 | 0.4584 | 0.8331 | 0.9128 |
| No log | 4.2692 | 222 | 0.7795 | 0.5230 | 0.7795 | 0.8829 |
| No log | 4.3077 | 224 | 0.7460 | 0.5589 | 0.7460 | 0.8637 |
| No log | 4.3462 | 226 | 0.7579 | 0.5408 | 0.7579 | 0.8706 |
| No log | 4.3846 | 228 | 0.7685 | 0.5589 | 0.7685 | 0.8767 |
| No log | 4.4231 | 230 | 0.8184 | 0.5353 | 0.8184 | 0.9047 |
| No log | 4.4615 | 232 | 0.9009 | 0.4521 | 0.9009 | 0.9492 |
| No log | 4.5 | 234 | 0.9424 | 0.4580 | 0.9424 | 0.9708 |
| No log | 4.5385 | 236 | 0.9110 | 0.4571 | 0.9110 | 0.9545 |
| No log | 4.5769 | 238 | 0.8157 | 0.5020 | 0.8157 | 0.9031 |
| No log | 4.6154 | 240 | 0.8062 | 0.5358 | 0.8062 | 0.8979 |
| No log | 4.6538 | 242 | 0.8014 | 0.5301 | 0.8014 | 0.8952 |
| No log | 4.6923 | 244 | 0.8137 | 0.5464 | 0.8137 | 0.9021 |
| No log | 4.7308 | 246 | 0.8649 | 0.4671 | 0.8649 | 0.9300 |
| No log | 4.7692 | 248 | 0.9055 | 0.4717 | 0.9055 | 0.9516 |
| No log | 4.8077 | 250 | 0.9994 | 0.4427 | 0.9994 | 0.9997 |
| No log | 4.8462 | 252 | 0.9741 | 0.4247 | 0.9741 | 0.9869 |
| No log | 4.8846 | 254 | 0.8963 | 0.4634 | 0.8963 | 0.9467 |
| No log | 4.9231 | 256 | 0.8310 | 0.5290 | 0.8310 | 0.9116 |
| No log | 4.9615 | 258 | 0.8162 | 0.5258 | 0.8162 | 0.9034 |
| No log | 5.0 | 260 | 0.8047 | 0.5002 | 0.8047 | 0.8971 |
| No log | 5.0385 | 262 | 0.7799 | 0.5105 | 0.7799 | 0.8831 |
| No log | 5.0769 | 264 | 0.7549 | 0.5003 | 0.7549 | 0.8689 |
| No log | 5.1154 | 266 | 0.7705 | 0.4917 | 0.7705 | 0.8778 |
| No log | 5.1538 | 268 | 0.7595 | 0.4969 | 0.7595 | 0.8715 |
| No log | 5.1923 | 270 | 0.7672 | 0.4865 | 0.7672 | 0.8759 |
| No log | 5.2308 | 272 | 0.8088 | 0.5031 | 0.8088 | 0.8993 |
| No log | 5.2692 | 274 | 0.7872 | 0.4917 | 0.7872 | 0.8873 |
| No log | 5.3077 | 276 | 0.7812 | 0.4969 | 0.7812 | 0.8839 |
| No log | 5.3462 | 278 | 0.7843 | 0.5071 | 0.7843 | 0.8856 |
| No log | 5.3846 | 280 | 0.8386 | 0.4992 | 0.8386 | 0.9157 |
| No log | 5.4231 | 282 | 0.9507 | 0.4324 | 0.9507 | 0.9750 |
| No log | 5.4615 | 284 | 0.9613 | 0.4500 | 0.9613 | 0.9805 |
| No log | 5.5 | 286 | 0.8666 | 0.4241 | 0.8666 | 0.9309 |
| No log | 5.5385 | 288 | 0.7594 | 0.5058 | 0.7594 | 0.8715 |
| No log | 5.5769 | 290 | 0.7165 | 0.4986 | 0.7165 | 0.8464 |
| No log | 5.6154 | 292 | 0.7090 | 0.4898 | 0.7090 | 0.8420 |
| No log | 5.6538 | 294 | 0.7559 | 0.4834 | 0.7559 | 0.8694 |
| No log | 5.6923 | 296 | 0.7904 | 0.4686 | 0.7904 | 0.8890 |
| No log | 5.7308 | 298 | 0.7627 | 0.4657 | 0.7627 | 0.8733 |
| No log | 5.7692 | 300 | 0.7484 | 0.4964 | 0.7484 | 0.8651 |
| No log | 5.8077 | 302 | 0.7714 | 0.4973 | 0.7714 | 0.8783 |
| No log | 5.8462 | 304 | 0.8145 | 0.4862 | 0.8145 | 0.9025 |
| No log | 5.8846 | 306 | 0.8627 | 0.4746 | 0.8627 | 0.9288 |
| No log | 5.9231 | 308 | 0.9412 | 0.4584 | 0.9412 | 0.9702 |
| No log | 5.9615 | 310 | 0.9535 | 0.4537 | 0.9535 | 0.9765 |
| No log | 6.0 | 312 | 0.9635 | 0.4045 | 0.9635 | 0.9816 |
| No log | 6.0385 | 314 | 0.9166 | 0.4571 | 0.9166 | 0.9574 |
| No log | 6.0769 | 316 | 0.8558 | 0.4933 | 0.8558 | 0.9251 |
| No log | 6.1154 | 318 | 0.8110 | 0.4950 | 0.8110 | 0.9006 |
| No log | 6.1538 | 320 | 0.7943 | 0.5056 | 0.7943 | 0.8912 |
| No log | 6.1923 | 322 | 0.7965 | 0.4937 | 0.7965 | 0.8925 |
| No log | 6.2308 | 324 | 0.8201 | 0.5056 | 0.8201 | 0.9056 |
| No log | 6.2692 | 326 | 0.8705 | 0.4947 | 0.8705 | 0.9330 |
| No log | 6.3077 | 328 | 0.9001 | 0.4933 | 0.9001 | 0.9487 |
| No log | 6.3462 | 330 | 0.9034 | 0.4926 | 0.9034 | 0.9505 |
| No log | 6.3846 | 332 | 0.9217 | 0.4680 | 0.9217 | 0.9600 |
| No log | 6.4231 | 334 | 0.9288 | 0.4725 | 0.9288 | 0.9637 |
| No log | 6.4615 | 336 | 0.9253 | 0.4714 | 0.9253 | 0.9619 |
| No log | 6.5 | 338 | 0.8920 | 0.4804 | 0.8920 | 0.9445 |
| No log | 6.5385 | 340 | 0.8391 | 0.4671 | 0.8391 | 0.9160 |
| No log | 6.5769 | 342 | 0.8086 | 0.4813 | 0.8086 | 0.8992 |
| No log | 6.6154 | 344 | 0.7608 | 0.5150 | 0.7608 | 0.8722 |
| No log | 6.6538 | 346 | 0.7443 | 0.5084 | 0.7443 | 0.8627 |
| No log | 6.6923 | 348 | 0.7506 | 0.4982 | 0.7506 | 0.8664 |
| No log | 6.7308 | 350 | 0.7942 | 0.4831 | 0.7942 | 0.8912 |
| No log | 6.7692 | 352 | 0.8683 | 0.4707 | 0.8683 | 0.9318 |
| No log | 6.8077 | 354 | 0.8961 | 0.4707 | 0.8961 | 0.9466 |
| No log | 6.8462 | 356 | 0.8642 | 0.4736 | 0.8642 | 0.9296 |
| No log | 6.8846 | 358 | 0.8322 | 0.4759 | 0.8322 | 0.9122 |
| No log | 6.9231 | 360 | 0.7794 | 0.4901 | 0.7794 | 0.8828 |
| No log | 6.9615 | 362 | 0.7470 | 0.5177 | 0.7470 | 0.8643 |
| No log | 7.0 | 364 | 0.7407 | 0.5291 | 0.7407 | 0.8606 |
| No log | 7.0385 | 366 | 0.7516 | 0.5164 | 0.7516 | 0.8670 |
| No log | 7.0769 | 368 | 0.7590 | 0.5199 | 0.7590 | 0.8712 |
| No log | 7.1154 | 370 | 0.7843 | 0.4804 | 0.7843 | 0.8856 |
| No log | 7.1538 | 372 | 0.8653 | 0.4735 | 0.8653 | 0.9302 |
| No log | 7.1923 | 374 | 0.9318 | 0.4900 | 0.9318 | 0.9653 |
| No log | 7.2308 | 376 | 0.9478 | 0.4900 | 0.9478 | 0.9735 |
| No log | 7.2692 | 378 | 0.9154 | 0.4740 | 0.9154 | 0.9567 |
| No log | 7.3077 | 380 | 0.8643 | 0.4863 | 0.8643 | 0.9297 |
| No log | 7.3462 | 382 | 0.8501 | 0.4905 | 0.8501 | 0.9220 |
| No log | 7.3846 | 384 | 0.8450 | 0.5002 | 0.8450 | 0.9192 |
| No log | 7.4231 | 386 | 0.8395 | 0.5002 | 0.8395 | 0.9162 |
| No log | 7.4615 | 388 | 0.8310 | 0.4968 | 0.8310 | 0.9116 |
| No log | 7.5 | 390 | 0.8349 | 0.4878 | 0.8349 | 0.9137 |
| No log | 7.5385 | 392 | 0.8489 | 0.4828 | 0.8489 | 0.9214 |
| No log | 7.5769 | 394 | 0.8456 | 0.4828 | 0.8456 | 0.9196 |
| No log | 7.6154 | 396 | 0.8515 | 0.4828 | 0.8515 | 0.9228 |
| No log | 7.6538 | 398 | 0.8398 | 0.4852 | 0.8398 | 0.9164 |
| No log | 7.6923 | 400 | 0.8318 | 0.4990 | 0.8318 | 0.9121 |
| No log | 7.7308 | 402 | 0.8268 | 0.4926 | 0.8268 | 0.9093 |
| No log | 7.7692 | 404 | 0.8195 | 0.4933 | 0.8195 | 0.9053 |
| No log | 7.8077 | 406 | 0.8156 | 0.4852 | 0.8156 | 0.9031 |
| No log | 7.8462 | 408 | 0.7981 | 0.4831 | 0.7981 | 0.8934 |
| No log | 7.8846 | 410 | 0.7928 | 0.4792 | 0.7928 | 0.8904 |
| No log | 7.9231 | 412 | 0.7993 | 0.4859 | 0.7993 | 0.8940 |
| No log | 7.9615 | 414 | 0.8125 | 0.5122 | 0.8125 | 0.9014 |
| No log | 8.0 | 416 | 0.8212 | 0.5122 | 0.8212 | 0.9062 |
| No log | 8.0385 | 418 | 0.8189 | 0.4792 | 0.8189 | 0.9049 |
| No log | 8.0769 | 420 | 0.8202 | 0.4947 | 0.8202 | 0.9056 |
| No log | 8.1154 | 422 | 0.8141 | 0.4933 | 0.8141 | 0.9023 |
| No log | 8.1538 | 424 | 0.8058 | 0.5025 | 0.8058 | 0.8977 |
| No log | 8.1923 | 426 | 0.8060 | 0.5032 | 0.8060 | 0.8978 |
| No log | 8.2308 | 428 | 0.8144 | 0.494 | 0.8144 | 0.9024 |
| No log | 8.2692 | 430 | 0.8256 | 0.4947 | 0.8256 | 0.9086 |
| No log | 8.3077 | 432 | 0.8382 | 0.4673 | 0.8382 | 0.9155 |
| No log | 8.3462 | 434 | 0.8383 | 0.5028 | 0.8383 | 0.9156 |
| No log | 8.3846 | 436 | 0.8303 | 0.5028 | 0.8303 | 0.9112 |
| No log | 8.4231 | 438 | 0.8364 | 0.4871 | 0.8364 | 0.9146 |
| No log | 8.4615 | 440 | 0.8507 | 0.4795 | 0.8507 | 0.9223 |
| No log | 8.5 | 442 | 0.8614 | 0.4532 | 0.8614 | 0.9281 |
| No log | 8.5385 | 444 | 0.8559 | 0.4480 | 0.8559 | 0.9251 |
| No log | 8.5769 | 446 | 0.8395 | 0.4851 | 0.8395 | 0.9163 |
| No log | 8.6154 | 448 | 0.8122 | 0.5 | 0.8122 | 0.9012 |
| No log | 8.6538 | 450 | 0.7924 | 0.5203 | 0.7924 | 0.8902 |
| No log | 8.6923 | 452 | 0.7806 | 0.5056 | 0.7806 | 0.8835 |
| No log | 8.7308 | 454 | 0.7739 | 0.5169 | 0.7739 | 0.8797 |
| No log | 8.7692 | 456 | 0.7742 | 0.5318 | 0.7742 | 0.8799 |
| No log | 8.8077 | 458 | 0.7794 | 0.5169 | 0.7794 | 0.8828 |
| No log | 8.8462 | 460 | 0.7885 | 0.5056 | 0.7885 | 0.8879 |
| No log | 8.8846 | 462 | 0.7904 | 0.5056 | 0.7904 | 0.8891 |
| No log | 8.9231 | 464 | 0.7996 | 0.5056 | 0.7996 | 0.8942 |
| No log | 8.9615 | 466 | 0.8090 | 0.5036 | 0.8090 | 0.8994 |
| No log | 9.0 | 468 | 0.8195 | 0.5171 | 0.8195 | 0.9053 |
| No log | 9.0385 | 470 | 0.8206 | 0.5171 | 0.8206 | 0.9059 |
| No log | 9.0769 | 472 | 0.8226 | 0.5044 | 0.8226 | 0.9069 |
| No log | 9.1154 | 474 | 0.8278 | 0.5152 | 0.8278 | 0.9098 |
| No log | 9.1538 | 476 | 0.8393 | 0.5074 | 0.8393 | 0.9161 |
| No log | 9.1923 | 478 | 0.8520 | 0.4759 | 0.8520 | 0.9230 |
| No log | 9.2308 | 480 | 0.8572 | 0.4865 | 0.8572 | 0.9258 |
| No log | 9.2692 | 482 | 0.8543 | 0.4973 | 0.8543 | 0.9243 |
| No log | 9.3077 | 484 | 0.8582 | 0.4959 | 0.8582 | 0.9264 |
| No log | 9.3462 | 486 | 0.8658 | 0.4852 | 0.8658 | 0.9305 |
| No log | 9.3846 | 488 | 0.8736 | 0.4973 | 0.8736 | 0.9347 |
| No log | 9.4231 | 490 | 0.8730 | 0.4852 | 0.8730 | 0.9344 |
| No log | 9.4615 | 492 | 0.8669 | 0.4959 | 0.8669 | 0.9311 |
| No log | 9.5 | 494 | 0.8626 | 0.4959 | 0.8626 | 0.9288 |
| No log | 9.5385 | 496 | 0.8592 | 0.4959 | 0.8592 | 0.9269 |
| No log | 9.5769 | 498 | 0.8547 | 0.4895 | 0.8547 | 0.9245 |
| 0.4489 | 9.6154 | 500 | 0.8489 | 0.4895 | 0.8489 | 0.9214 |
| 0.4489 | 9.6538 | 502 | 0.8400 | 0.4992 | 0.8400 | 0.9165 |
| 0.4489 | 9.6923 | 504 | 0.8311 | 0.5194 | 0.8311 | 0.9116 |
| 0.4489 | 9.7308 | 506 | 0.8254 | 0.5194 | 0.8254 | 0.9085 |
| 0.4489 | 9.7692 | 508 | 0.8200 | 0.4955 | 0.8200 | 0.9055 |
| 0.4489 | 9.8077 | 510 | 0.8167 | 0.4955 | 0.8167 | 0.9037 |
| 0.4489 | 9.8462 | 512 | 0.8143 | 0.4955 | 0.8143 | 0.9024 |
| 0.4489 | 9.8846 | 514 | 0.8133 | 0.4955 | 0.8133 | 0.9018 |
| 0.4489 | 9.9231 | 516 | 0.8122 | 0.4955 | 0.8122 | 0.9012 |
| 0.4489 | 9.9615 | 518 | 0.8117 | 0.4955 | 0.8117 | 0.9009 |
| 0.4489 | 10.0 | 520 | 0.8116 | 0.4955 | 0.8116 | 0.9009 |
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_run3_AugV5_k10_task2_organization
Base model
aubmindlab/bert-base-arabertv02