Instructions to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k19_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k19_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k19_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k19_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k19_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k19_task5_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: 1.0537
- Qwk: 0.5942
- Mse: 1.0537
- Rmse: 1.0265
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 | 0.0317 | 2 | 2.3308 | -0.0139 | 2.3308 | 1.5267 |
| No log | 0.0635 | 4 | 1.5119 | 0.1162 | 1.5119 | 1.2296 |
| No log | 0.0952 | 6 | 1.6121 | 0.1430 | 1.6121 | 1.2697 |
| No log | 0.1270 | 8 | 1.7649 | 0.2135 | 1.7649 | 1.3285 |
| No log | 0.1587 | 10 | 1.8650 | 0.1893 | 1.8650 | 1.3657 |
| No log | 0.1905 | 12 | 2.0627 | 0.2403 | 2.0627 | 1.4362 |
| No log | 0.2222 | 14 | 2.1341 | 0.2175 | 2.1341 | 1.4608 |
| No log | 0.2540 | 16 | 2.0747 | 0.2190 | 2.0747 | 1.4404 |
| No log | 0.2857 | 18 | 1.7800 | 0.0915 | 1.7800 | 1.3342 |
| No log | 0.3175 | 20 | 1.7933 | 0.0662 | 1.7933 | 1.3391 |
| No log | 0.3492 | 22 | 1.9504 | 0.1569 | 1.9504 | 1.3966 |
| No log | 0.3810 | 24 | 1.9907 | 0.2533 | 1.9907 | 1.4109 |
| No log | 0.4127 | 26 | 1.9181 | 0.2529 | 1.9181 | 1.3850 |
| No log | 0.4444 | 28 | 1.7901 | 0.2512 | 1.7901 | 1.3380 |
| No log | 0.4762 | 30 | 1.7047 | 0.2533 | 1.7047 | 1.3056 |
| No log | 0.5079 | 32 | 1.6162 | 0.2156 | 1.6162 | 1.2713 |
| No log | 0.5397 | 34 | 1.5336 | 0.1827 | 1.5336 | 1.2384 |
| No log | 0.5714 | 36 | 1.5339 | 0.1980 | 1.5339 | 1.2385 |
| No log | 0.6032 | 38 | 1.6552 | 0.2874 | 1.6552 | 1.2866 |
| No log | 0.6349 | 40 | 1.7783 | 0.3481 | 1.7783 | 1.3335 |
| No log | 0.6667 | 42 | 1.6888 | 0.3520 | 1.6888 | 1.2995 |
| No log | 0.6984 | 44 | 1.5747 | 0.3006 | 1.5747 | 1.2549 |
| No log | 0.7302 | 46 | 1.5975 | 0.2766 | 1.5975 | 1.2639 |
| No log | 0.7619 | 48 | 1.6868 | 0.3382 | 1.6868 | 1.2988 |
| No log | 0.7937 | 50 | 1.7725 | 0.3364 | 1.7725 | 1.3314 |
| No log | 0.8254 | 52 | 1.6702 | 0.3225 | 1.6702 | 1.2924 |
| No log | 0.8571 | 54 | 1.7492 | 0.3228 | 1.7492 | 1.3226 |
| No log | 0.8889 | 56 | 2.0356 | 0.2872 | 2.0356 | 1.4267 |
| No log | 0.9206 | 58 | 2.4540 | 0.1974 | 2.4540 | 1.5665 |
| No log | 0.9524 | 60 | 2.7445 | 0.2067 | 2.7445 | 1.6566 |
| No log | 0.9841 | 62 | 2.6250 | 0.2917 | 2.6250 | 1.6202 |
| No log | 1.0159 | 64 | 2.0564 | 0.3260 | 2.0564 | 1.4340 |
| No log | 1.0476 | 66 | 1.8504 | 0.3412 | 1.8504 | 1.3603 |
| No log | 1.0794 | 68 | 1.7802 | 0.3412 | 1.7802 | 1.3343 |
| No log | 1.1111 | 70 | 2.1390 | 0.3611 | 2.1390 | 1.4625 |
| No log | 1.1429 | 72 | 2.1681 | 0.3431 | 2.1681 | 1.4724 |
| No log | 1.1746 | 74 | 2.0890 | 0.3007 | 2.0890 | 1.4453 |
| No log | 1.2063 | 76 | 1.8879 | 0.3888 | 1.8879 | 1.3740 |
| No log | 1.2381 | 78 | 1.8476 | 0.3887 | 1.8476 | 1.3593 |
| No log | 1.2698 | 80 | 1.7163 | 0.4082 | 1.7163 | 1.3101 |
| No log | 1.3016 | 82 | 1.5149 | 0.4831 | 1.5149 | 1.2308 |
| No log | 1.3333 | 84 | 1.9047 | 0.3787 | 1.9047 | 1.3801 |
| No log | 1.3651 | 86 | 2.5995 | 0.3659 | 2.5995 | 1.6123 |
| No log | 1.3968 | 88 | 2.4274 | 0.3784 | 2.4274 | 1.5580 |
| No log | 1.4286 | 90 | 1.8433 | 0.3975 | 1.8433 | 1.3577 |
| No log | 1.4603 | 92 | 1.9396 | 0.3690 | 1.9396 | 1.3927 |
| No log | 1.4921 | 94 | 2.2761 | 0.3203 | 2.2761 | 1.5087 |
| No log | 1.5238 | 96 | 2.1952 | 0.3477 | 2.1952 | 1.4816 |
| No log | 1.5556 | 98 | 1.6675 | 0.4187 | 1.6675 | 1.2913 |
| No log | 1.5873 | 100 | 1.2711 | 0.4955 | 1.2711 | 1.1274 |
| No log | 1.6190 | 102 | 1.3895 | 0.4668 | 1.3895 | 1.1788 |
| No log | 1.6508 | 104 | 2.0745 | 0.4186 | 2.0745 | 1.4403 |
| No log | 1.6825 | 106 | 2.5721 | 0.3838 | 2.5721 | 1.6038 |
| No log | 1.7143 | 108 | 2.0803 | 0.4196 | 2.0803 | 1.4423 |
| No log | 1.7460 | 110 | 1.4055 | 0.4763 | 1.4055 | 1.1855 |
| No log | 1.7778 | 112 | 1.3052 | 0.5028 | 1.3052 | 1.1424 |
| No log | 1.8095 | 114 | 1.5750 | 0.4695 | 1.5750 | 1.2550 |
| No log | 1.8413 | 116 | 1.9954 | 0.4079 | 1.9954 | 1.4126 |
| No log | 1.8730 | 118 | 1.7613 | 0.4418 | 1.7613 | 1.3271 |
| No log | 1.9048 | 120 | 1.4028 | 0.4728 | 1.4028 | 1.1844 |
| No log | 1.9365 | 122 | 1.1596 | 0.5478 | 1.1596 | 1.0768 |
| No log | 1.9683 | 124 | 1.1639 | 0.5469 | 1.1639 | 1.0788 |
| No log | 2.0 | 126 | 1.3473 | 0.5224 | 1.3473 | 1.1607 |
| No log | 2.0317 | 128 | 2.0135 | 0.4593 | 2.0135 | 1.4190 |
| No log | 2.0635 | 130 | 2.3031 | 0.4287 | 2.3031 | 1.5176 |
| No log | 2.0952 | 132 | 2.2110 | 0.4430 | 2.2110 | 1.4869 |
| No log | 2.1270 | 134 | 1.5029 | 0.5171 | 1.5029 | 1.2259 |
| No log | 2.1587 | 136 | 1.1348 | 0.5629 | 1.1348 | 1.0653 |
| No log | 2.1905 | 138 | 1.2466 | 0.5738 | 1.2466 | 1.1165 |
| No log | 2.2222 | 140 | 1.7726 | 0.4774 | 1.7726 | 1.3314 |
| No log | 2.2540 | 142 | 2.1027 | 0.4304 | 2.1027 | 1.4501 |
| No log | 2.2857 | 144 | 1.8528 | 0.4435 | 1.8528 | 1.3612 |
| No log | 2.3175 | 146 | 1.5043 | 0.4670 | 1.5043 | 1.2265 |
| No log | 2.3492 | 148 | 1.5733 | 0.4908 | 1.5733 | 1.2543 |
| No log | 2.3810 | 150 | 1.7671 | 0.4865 | 1.7671 | 1.3293 |
| No log | 2.4127 | 152 | 1.4689 | 0.5449 | 1.4689 | 1.2120 |
| No log | 2.4444 | 154 | 1.1739 | 0.5937 | 1.1739 | 1.0835 |
| No log | 2.4762 | 156 | 1.2189 | 0.5728 | 1.2189 | 1.1040 |
| No log | 2.5079 | 158 | 1.5362 | 0.5088 | 1.5362 | 1.2395 |
| No log | 2.5397 | 160 | 1.5602 | 0.4616 | 1.5602 | 1.2491 |
| No log | 2.5714 | 162 | 1.4048 | 0.4770 | 1.4048 | 1.1853 |
| No log | 2.6032 | 164 | 1.1954 | 0.5602 | 1.1954 | 1.0934 |
| No log | 2.6349 | 166 | 0.9731 | 0.5748 | 0.9731 | 0.9865 |
| No log | 2.6667 | 168 | 0.9573 | 0.6021 | 0.9573 | 0.9784 |
| No log | 2.6984 | 170 | 1.0490 | 0.6174 | 1.0490 | 1.0242 |
| No log | 2.7302 | 172 | 1.1920 | 0.5454 | 1.1920 | 1.0918 |
| No log | 2.7619 | 174 | 1.1384 | 0.5942 | 1.1384 | 1.0669 |
| No log | 2.7937 | 176 | 1.2293 | 0.5570 | 1.2293 | 1.1087 |
| No log | 2.8254 | 178 | 1.2011 | 0.5802 | 1.2011 | 1.0959 |
| No log | 2.8571 | 180 | 1.0687 | 0.6077 | 1.0687 | 1.0338 |
| No log | 2.8889 | 182 | 1.0009 | 0.6107 | 1.0009 | 1.0004 |
| No log | 2.9206 | 184 | 1.1386 | 0.5960 | 1.1386 | 1.0671 |
| No log | 2.9524 | 186 | 1.2932 | 0.5844 | 1.2932 | 1.1372 |
| No log | 2.9841 | 188 | 1.3545 | 0.5720 | 1.3545 | 1.1638 |
| No log | 3.0159 | 190 | 1.2996 | 0.5932 | 1.2996 | 1.1400 |
| No log | 3.0476 | 192 | 1.0622 | 0.6246 | 1.0622 | 1.0306 |
| No log | 3.0794 | 194 | 0.9949 | 0.6099 | 0.9949 | 0.9974 |
| No log | 3.1111 | 196 | 1.1721 | 0.6137 | 1.1721 | 1.0826 |
| No log | 3.1429 | 198 | 1.2393 | 0.6051 | 1.2393 | 1.1132 |
| No log | 3.1746 | 200 | 1.3273 | 0.5507 | 1.3273 | 1.1521 |
| No log | 3.2063 | 202 | 1.3208 | 0.5406 | 1.3208 | 1.1493 |
| No log | 3.2381 | 204 | 1.2866 | 0.5597 | 1.2866 | 1.1343 |
| No log | 3.2698 | 206 | 1.5444 | 0.5130 | 1.5444 | 1.2427 |
| No log | 3.3016 | 208 | 1.7424 | 0.4707 | 1.7424 | 1.3200 |
| No log | 3.3333 | 210 | 1.4698 | 0.5523 | 1.4698 | 1.2123 |
| No log | 3.3651 | 212 | 1.0214 | 0.6248 | 1.0214 | 1.0106 |
| No log | 3.3968 | 214 | 0.8944 | 0.6466 | 0.8944 | 0.9457 |
| No log | 3.4286 | 216 | 0.9853 | 0.6286 | 0.9853 | 0.9926 |
| No log | 3.4603 | 218 | 1.1682 | 0.5918 | 1.1682 | 1.0808 |
| No log | 3.4921 | 220 | 1.2462 | 0.5666 | 1.2462 | 1.1163 |
| No log | 3.5238 | 222 | 1.1516 | 0.5803 | 1.1516 | 1.0731 |
| No log | 3.5556 | 224 | 0.9084 | 0.5909 | 0.9084 | 0.9531 |
| No log | 3.5873 | 226 | 0.8648 | 0.5879 | 0.8648 | 0.9299 |
| No log | 3.6190 | 228 | 1.0628 | 0.5935 | 1.0628 | 1.0309 |
| No log | 3.6508 | 230 | 1.5258 | 0.5026 | 1.5258 | 1.2352 |
| No log | 3.6825 | 232 | 1.8056 | 0.4748 | 1.8056 | 1.3437 |
| No log | 3.7143 | 234 | 1.6609 | 0.4872 | 1.6609 | 1.2888 |
| No log | 3.7460 | 236 | 1.2558 | 0.5739 | 1.2558 | 1.1206 |
| No log | 3.7778 | 238 | 1.0292 | 0.5874 | 1.0292 | 1.0145 |
| No log | 3.8095 | 240 | 1.0422 | 0.5850 | 1.0422 | 1.0209 |
| No log | 3.8413 | 242 | 1.2861 | 0.5560 | 1.2861 | 1.1341 |
| No log | 3.8730 | 244 | 1.5748 | 0.5032 | 1.5748 | 1.2549 |
| No log | 3.9048 | 246 | 1.5409 | 0.5032 | 1.5409 | 1.2413 |
| No log | 3.9365 | 248 | 1.3573 | 0.5167 | 1.3573 | 1.1650 |
| No log | 3.9683 | 250 | 1.0773 | 0.5442 | 1.0773 | 1.0379 |
| No log | 4.0 | 252 | 0.9961 | 0.6308 | 0.9961 | 0.9980 |
| No log | 4.0317 | 254 | 1.0517 | 0.5564 | 1.0517 | 1.0255 |
| No log | 4.0635 | 256 | 1.1993 | 0.5320 | 1.1993 | 1.0951 |
| No log | 4.0952 | 258 | 1.3733 | 0.5154 | 1.3733 | 1.1719 |
| No log | 4.1270 | 260 | 1.5095 | 0.5030 | 1.5095 | 1.2286 |
| No log | 4.1587 | 262 | 1.3803 | 0.5324 | 1.3803 | 1.1749 |
| No log | 4.1905 | 264 | 1.0765 | 0.5947 | 1.0765 | 1.0375 |
| No log | 4.2222 | 266 | 0.9774 | 0.6233 | 0.9774 | 0.9886 |
| No log | 4.2540 | 268 | 1.0682 | 0.5891 | 1.0682 | 1.0335 |
| No log | 4.2857 | 270 | 1.1451 | 0.5950 | 1.1451 | 1.0701 |
| No log | 4.3175 | 272 | 1.2575 | 0.5897 | 1.2575 | 1.1214 |
| No log | 4.3492 | 274 | 1.2039 | 0.5628 | 1.2039 | 1.0972 |
| No log | 4.3810 | 276 | 1.1528 | 0.5714 | 1.1528 | 1.0737 |
| No log | 4.4127 | 278 | 1.0284 | 0.5792 | 1.0284 | 1.0141 |
| No log | 4.4444 | 280 | 0.9183 | 0.5568 | 0.9183 | 0.9583 |
| No log | 4.4762 | 282 | 0.9437 | 0.5757 | 0.9437 | 0.9714 |
| No log | 4.5079 | 284 | 0.9754 | 0.5895 | 0.9754 | 0.9876 |
| No log | 4.5397 | 286 | 1.0824 | 0.6009 | 1.0824 | 1.0404 |
| No log | 4.5714 | 288 | 1.0381 | 0.6082 | 1.0381 | 1.0189 |
| No log | 4.6032 | 290 | 0.9119 | 0.6224 | 0.9119 | 0.9549 |
| No log | 4.6349 | 292 | 0.9126 | 0.6354 | 0.9126 | 0.9553 |
| No log | 4.6667 | 294 | 1.0537 | 0.6022 | 1.0537 | 1.0265 |
| No log | 4.6984 | 296 | 1.2051 | 0.6033 | 1.2051 | 1.0978 |
| No log | 4.7302 | 298 | 1.1766 | 0.6013 | 1.1766 | 1.0847 |
| No log | 4.7619 | 300 | 1.1284 | 0.6170 | 1.1284 | 1.0622 |
| No log | 4.7937 | 302 | 1.0749 | 0.6090 | 1.0749 | 1.0368 |
| No log | 4.8254 | 304 | 0.9451 | 0.6337 | 0.9451 | 0.9722 |
| No log | 4.8571 | 306 | 0.9272 | 0.6172 | 0.9272 | 0.9629 |
| No log | 4.8889 | 308 | 1.0023 | 0.6092 | 1.0023 | 1.0012 |
| No log | 4.9206 | 310 | 1.0467 | 0.6079 | 1.0467 | 1.0231 |
| No log | 4.9524 | 312 | 1.1751 | 0.5645 | 1.1751 | 1.0840 |
| No log | 4.9841 | 314 | 1.1784 | 0.5778 | 1.1784 | 1.0856 |
| No log | 5.0159 | 316 | 1.0805 | 0.6022 | 1.0805 | 1.0395 |
| No log | 5.0476 | 318 | 0.9566 | 0.5893 | 0.9566 | 0.9781 |
| No log | 5.0794 | 320 | 0.9533 | 0.5940 | 0.9533 | 0.9764 |
| No log | 5.1111 | 322 | 1.0667 | 0.5893 | 1.0667 | 1.0328 |
| No log | 5.1429 | 324 | 1.1688 | 0.5651 | 1.1688 | 1.0811 |
| No log | 5.1746 | 326 | 1.1271 | 0.5552 | 1.1271 | 1.0617 |
| No log | 5.2063 | 328 | 1.0006 | 0.5953 | 1.0006 | 1.0003 |
| No log | 5.2381 | 330 | 0.9997 | 0.6070 | 0.9997 | 0.9998 |
| No log | 5.2698 | 332 | 1.1412 | 0.5736 | 1.1412 | 1.0682 |
| No log | 5.3016 | 334 | 1.2115 | 0.5767 | 1.2115 | 1.1007 |
| No log | 5.3333 | 336 | 1.1092 | 0.5884 | 1.1092 | 1.0532 |
| No log | 5.3651 | 338 | 0.9582 | 0.6011 | 0.9582 | 0.9789 |
| No log | 5.3968 | 340 | 0.8516 | 0.6575 | 0.8516 | 0.9228 |
| No log | 5.4286 | 342 | 0.8630 | 0.6445 | 0.8630 | 0.9290 |
| No log | 5.4603 | 344 | 0.9722 | 0.5975 | 0.9722 | 0.9860 |
| No log | 5.4921 | 346 | 1.1312 | 0.5769 | 1.1312 | 1.0636 |
| No log | 5.5238 | 348 | 1.3252 | 0.5470 | 1.3252 | 1.1512 |
| No log | 5.5556 | 350 | 1.2985 | 0.5580 | 1.2985 | 1.1395 |
| No log | 5.5873 | 352 | 1.1155 | 0.5925 | 1.1155 | 1.0562 |
| No log | 5.6190 | 354 | 0.9467 | 0.6181 | 0.9467 | 0.9730 |
| No log | 5.6508 | 356 | 0.9043 | 0.6089 | 0.9043 | 0.9509 |
| No log | 5.6825 | 358 | 0.9898 | 0.6258 | 0.9898 | 0.9949 |
| No log | 5.7143 | 360 | 1.1510 | 0.5617 | 1.1510 | 1.0728 |
| No log | 5.7460 | 362 | 1.2567 | 0.5192 | 1.2567 | 1.1210 |
| No log | 5.7778 | 364 | 1.2348 | 0.5294 | 1.2348 | 1.1112 |
| No log | 5.8095 | 366 | 1.1841 | 0.5566 | 1.1841 | 1.0882 |
| No log | 5.8413 | 368 | 1.2155 | 0.5566 | 1.2155 | 1.1025 |
| No log | 5.8730 | 370 | 1.1814 | 0.5678 | 1.1814 | 1.0869 |
| No log | 5.9048 | 372 | 1.1275 | 0.6167 | 1.1275 | 1.0618 |
| No log | 5.9365 | 374 | 1.2035 | 0.5878 | 1.2035 | 1.0970 |
| No log | 5.9683 | 376 | 1.3197 | 0.5492 | 1.3197 | 1.1488 |
| No log | 6.0 | 378 | 1.3214 | 0.5592 | 1.3214 | 1.1495 |
| No log | 6.0317 | 380 | 1.1814 | 0.5634 | 1.1814 | 1.0869 |
| No log | 6.0635 | 382 | 0.9784 | 0.6373 | 0.9784 | 0.9892 |
| No log | 6.0952 | 384 | 0.8674 | 0.6162 | 0.8674 | 0.9314 |
| No log | 6.1270 | 386 | 0.8681 | 0.6233 | 0.8681 | 0.9317 |
| No log | 6.1587 | 388 | 0.9518 | 0.6466 | 0.9518 | 0.9756 |
| No log | 6.1905 | 390 | 1.1016 | 0.5540 | 1.1016 | 1.0496 |
| No log | 6.2222 | 392 | 1.2139 | 0.5283 | 1.2139 | 1.1018 |
| No log | 6.2540 | 394 | 1.2329 | 0.5197 | 1.2329 | 1.1104 |
| No log | 6.2857 | 396 | 1.2507 | 0.5197 | 1.2507 | 1.1183 |
| No log | 6.3175 | 398 | 1.2691 | 0.5197 | 1.2691 | 1.1266 |
| No log | 6.3492 | 400 | 1.2615 | 0.5310 | 1.2615 | 1.1232 |
| No log | 6.3810 | 402 | 1.2848 | 0.5310 | 1.2848 | 1.1335 |
| No log | 6.4127 | 404 | 1.2575 | 0.5392 | 1.2575 | 1.1214 |
| No log | 6.4444 | 406 | 1.2883 | 0.5392 | 1.2883 | 1.1350 |
| No log | 6.4762 | 408 | 1.2777 | 0.5392 | 1.2777 | 1.1303 |
| No log | 6.5079 | 410 | 1.2435 | 0.5361 | 1.2435 | 1.1151 |
| No log | 6.5397 | 412 | 1.1454 | 0.5664 | 1.1454 | 1.0703 |
| No log | 6.5714 | 414 | 1.0756 | 0.6119 | 1.0756 | 1.0371 |
| No log | 6.6032 | 416 | 1.0532 | 0.6119 | 1.0532 | 1.0263 |
| No log | 6.6349 | 418 | 1.0829 | 0.6119 | 1.0829 | 1.0406 |
| No log | 6.6667 | 420 | 1.0236 | 0.6263 | 1.0236 | 1.0117 |
| No log | 6.6984 | 422 | 0.9286 | 0.6396 | 0.9286 | 0.9636 |
| No log | 6.7302 | 424 | 0.9033 | 0.6410 | 0.9033 | 0.9504 |
| No log | 6.7619 | 426 | 0.9655 | 0.6271 | 0.9655 | 0.9826 |
| No log | 6.7937 | 428 | 0.9846 | 0.6291 | 0.9846 | 0.9923 |
| No log | 6.8254 | 430 | 1.0253 | 0.6142 | 1.0253 | 1.0126 |
| No log | 6.8571 | 432 | 1.1011 | 0.6065 | 1.1011 | 1.0494 |
| No log | 6.8889 | 434 | 1.0968 | 0.6065 | 1.0968 | 1.0473 |
| No log | 6.9206 | 436 | 1.0488 | 0.5932 | 1.0488 | 1.0241 |
| No log | 6.9524 | 438 | 1.0808 | 0.5889 | 1.0808 | 1.0396 |
| No log | 6.9841 | 440 | 1.0826 | 0.5889 | 1.0826 | 1.0405 |
| No log | 7.0159 | 442 | 1.0458 | 0.5988 | 1.0458 | 1.0226 |
| No log | 7.0476 | 444 | 0.9673 | 0.6168 | 0.9673 | 0.9835 |
| No log | 7.0794 | 446 | 0.9282 | 0.6562 | 0.9282 | 0.9634 |
| No log | 7.1111 | 448 | 0.9800 | 0.6107 | 0.9800 | 0.9900 |
| No log | 7.1429 | 450 | 1.0723 | 0.5945 | 1.0723 | 1.0355 |
| No log | 7.1746 | 452 | 1.0963 | 0.5824 | 1.0963 | 1.0471 |
| No log | 7.2063 | 454 | 1.0813 | 0.6057 | 1.0813 | 1.0399 |
| No log | 7.2381 | 456 | 1.0428 | 0.6167 | 1.0428 | 1.0212 |
| No log | 7.2698 | 458 | 1.0255 | 0.6294 | 1.0255 | 1.0127 |
| No log | 7.3016 | 460 | 1.0085 | 0.6439 | 1.0085 | 1.0042 |
| No log | 7.3333 | 462 | 1.0564 | 0.6504 | 1.0564 | 1.0278 |
| No log | 7.3651 | 464 | 1.1330 | 0.6224 | 1.1330 | 1.0644 |
| No log | 7.3968 | 466 | 1.1558 | 0.6101 | 1.1558 | 1.0751 |
| No log | 7.4286 | 468 | 1.0797 | 0.6132 | 1.0797 | 1.0391 |
| No log | 7.4603 | 470 | 1.0128 | 0.6195 | 1.0128 | 1.0064 |
| No log | 7.4921 | 472 | 0.9192 | 0.6421 | 0.9192 | 0.9588 |
| No log | 7.5238 | 474 | 0.8493 | 0.6478 | 0.8493 | 0.9216 |
| No log | 7.5556 | 476 | 0.8510 | 0.6478 | 0.8510 | 0.9225 |
| No log | 7.5873 | 478 | 0.8829 | 0.6457 | 0.8829 | 0.9396 |
| No log | 7.6190 | 480 | 0.9523 | 0.6286 | 0.9523 | 0.9759 |
| No log | 7.6508 | 482 | 1.0674 | 0.5769 | 1.0674 | 1.0332 |
| No log | 7.6825 | 484 | 1.1295 | 0.5747 | 1.1295 | 1.0628 |
| No log | 7.7143 | 486 | 1.1532 | 0.5664 | 1.1532 | 1.0739 |
| No log | 7.7460 | 488 | 1.0941 | 0.5909 | 1.0941 | 1.0460 |
| No log | 7.7778 | 490 | 1.0052 | 0.5979 | 1.0052 | 1.0026 |
| No log | 7.8095 | 492 | 0.9351 | 0.6181 | 0.9351 | 0.9670 |
| No log | 7.8413 | 494 | 0.9149 | 0.6290 | 0.9149 | 0.9565 |
| No log | 7.8730 | 496 | 0.9353 | 0.6085 | 0.9353 | 0.9671 |
| No log | 7.9048 | 498 | 0.9994 | 0.6013 | 0.9994 | 0.9997 |
| 0.3653 | 7.9365 | 500 | 1.0668 | 0.5648 | 1.0668 | 1.0329 |
| 0.3653 | 7.9683 | 502 | 1.1208 | 0.5618 | 1.1208 | 1.0587 |
| 0.3653 | 8.0 | 504 | 1.1083 | 0.5618 | 1.1083 | 1.0528 |
| 0.3653 | 8.0317 | 506 | 1.1055 | 0.5575 | 1.1055 | 1.0514 |
| 0.3653 | 8.0635 | 508 | 1.0909 | 0.5527 | 1.0909 | 1.0445 |
| 0.3653 | 8.0952 | 510 | 1.0409 | 0.5614 | 1.0409 | 1.0203 |
| 0.3653 | 8.1270 | 512 | 1.0110 | 0.5814 | 1.0110 | 1.0055 |
| 0.3653 | 8.1587 | 514 | 1.0101 | 0.5851 | 1.0101 | 1.0050 |
| 0.3653 | 8.1905 | 516 | 1.0160 | 0.5724 | 1.0160 | 1.0080 |
| 0.3653 | 8.2222 | 518 | 1.0271 | 0.5666 | 1.0271 | 1.0135 |
| 0.3653 | 8.2540 | 520 | 1.0316 | 0.5666 | 1.0316 | 1.0157 |
| 0.3653 | 8.2857 | 522 | 1.0335 | 0.5666 | 1.0335 | 1.0166 |
| 0.3653 | 8.3175 | 524 | 1.0297 | 0.5666 | 1.0297 | 1.0148 |
| 0.3653 | 8.3492 | 526 | 1.0204 | 0.5791 | 1.0204 | 1.0101 |
| 0.3653 | 8.3810 | 528 | 0.9923 | 0.6155 | 0.9923 | 0.9962 |
| 0.3653 | 8.4127 | 530 | 0.9994 | 0.6022 | 0.9994 | 0.9997 |
| 0.3653 | 8.4444 | 532 | 1.0090 | 0.6022 | 1.0090 | 1.0045 |
| 0.3653 | 8.4762 | 534 | 1.0610 | 0.5758 | 1.0610 | 1.0301 |
| 0.3653 | 8.5079 | 536 | 1.0885 | 0.5758 | 1.0885 | 1.0433 |
| 0.3653 | 8.5397 | 538 | 1.1067 | 0.5758 | 1.1067 | 1.0520 |
| 0.3653 | 8.5714 | 540 | 1.1099 | 0.5715 | 1.1099 | 1.0535 |
| 0.3653 | 8.6032 | 542 | 1.1414 | 0.5337 | 1.1414 | 1.0684 |
| 0.3653 | 8.6349 | 544 | 1.1650 | 0.5321 | 1.1650 | 1.0793 |
| 0.3653 | 8.6667 | 546 | 1.1464 | 0.5378 | 1.1464 | 1.0707 |
| 0.3653 | 8.6984 | 548 | 1.1112 | 0.5638 | 1.1112 | 1.0541 |
| 0.3653 | 8.7302 | 550 | 1.0675 | 0.5682 | 1.0675 | 1.0332 |
| 0.3653 | 8.7619 | 552 | 1.0433 | 0.5682 | 1.0433 | 1.0214 |
| 0.3653 | 8.7937 | 554 | 1.0469 | 0.5658 | 1.0469 | 1.0232 |
| 0.3653 | 8.8254 | 556 | 1.0738 | 0.5561 | 1.0738 | 1.0362 |
| 0.3653 | 8.8571 | 558 | 1.1003 | 0.5517 | 1.1003 | 1.0489 |
| 0.3653 | 8.8889 | 560 | 1.0977 | 0.5517 | 1.0977 | 1.0477 |
| 0.3653 | 8.9206 | 562 | 1.1141 | 0.5584 | 1.1141 | 1.0555 |
| 0.3653 | 8.9524 | 564 | 1.1181 | 0.5584 | 1.1181 | 1.0574 |
| 0.3653 | 8.9841 | 566 | 1.1055 | 0.5704 | 1.1055 | 1.0514 |
| 0.3653 | 9.0159 | 568 | 1.1108 | 0.5704 | 1.1108 | 1.0539 |
| 0.3653 | 9.0476 | 570 | 1.1222 | 0.5738 | 1.1222 | 1.0593 |
| 0.3653 | 9.0794 | 572 | 1.1342 | 0.5684 | 1.1342 | 1.0650 |
| 0.3653 | 9.1111 | 574 | 1.1337 | 0.5684 | 1.1337 | 1.0647 |
| 0.3653 | 9.1429 | 576 | 1.1188 | 0.5846 | 1.1188 | 1.0578 |
| 0.3653 | 9.1746 | 578 | 1.0987 | 0.5846 | 1.0987 | 1.0482 |
| 0.3653 | 9.2063 | 580 | 1.0861 | 0.5836 | 1.0861 | 1.0422 |
| 0.3653 | 9.2381 | 582 | 1.0776 | 0.5836 | 1.0776 | 1.0381 |
| 0.3653 | 9.2698 | 584 | 1.0561 | 0.5923 | 1.0561 | 1.0277 |
| 0.3653 | 9.3016 | 586 | 1.0540 | 0.5923 | 1.0540 | 1.0267 |
| 0.3653 | 9.3333 | 588 | 1.0610 | 0.5942 | 1.0610 | 1.0300 |
| 0.3653 | 9.3651 | 590 | 1.0731 | 0.5942 | 1.0731 | 1.0359 |
| 0.3653 | 9.3968 | 592 | 1.0787 | 0.5942 | 1.0787 | 1.0386 |
| 0.3653 | 9.4286 | 594 | 1.0847 | 0.5975 | 1.0847 | 1.0415 |
| 0.3653 | 9.4603 | 596 | 1.1040 | 0.5965 | 1.1040 | 1.0507 |
| 0.3653 | 9.4921 | 598 | 1.1159 | 0.5759 | 1.1159 | 1.0564 |
| 0.3653 | 9.5238 | 600 | 1.1159 | 0.5759 | 1.1159 | 1.0563 |
| 0.3653 | 9.5556 | 602 | 1.1185 | 0.5759 | 1.1185 | 1.0576 |
| 0.3653 | 9.5873 | 604 | 1.1213 | 0.5759 | 1.1213 | 1.0589 |
| 0.3653 | 9.6190 | 606 | 1.1274 | 0.5598 | 1.1274 | 1.0618 |
| 0.3653 | 9.6508 | 608 | 1.1281 | 0.5598 | 1.1281 | 1.0621 |
| 0.3653 | 9.6825 | 610 | 1.1266 | 0.5759 | 1.1266 | 1.0614 |
| 0.3653 | 9.7143 | 612 | 1.1171 | 0.5759 | 1.1171 | 1.0569 |
| 0.3653 | 9.7460 | 614 | 1.1033 | 0.5846 | 1.1033 | 1.0504 |
| 0.3653 | 9.7778 | 616 | 1.0919 | 0.6008 | 1.0919 | 1.0449 |
| 0.3653 | 9.8095 | 618 | 1.0812 | 0.6008 | 1.0812 | 1.0398 |
| 0.3653 | 9.8413 | 620 | 1.0724 | 0.6008 | 1.0724 | 1.0356 |
| 0.3653 | 9.8730 | 622 | 1.0642 | 0.5942 | 1.0642 | 1.0316 |
| 0.3653 | 9.9048 | 624 | 1.0584 | 0.5942 | 1.0584 | 1.0288 |
| 0.3653 | 9.9365 | 626 | 1.0560 | 0.5942 | 1.0560 | 1.0276 |
| 0.3653 | 9.9683 | 628 | 1.0545 | 0.5942 | 1.0545 | 1.0269 |
| 0.3653 | 10.0 | 630 | 1.0537 | 0.5942 | 1.0537 | 1.0265 |
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/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k19_task5_organization
Base model
aubmindlab/bert-base-arabertv02