Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k4_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k4_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k4_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k4_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k4_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k4_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: 1.2406
- Qwk: 0.5018
- Mse: 1.2406
- Rmse: 1.1138
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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0952 | 2 | 5.2550 | -0.0020 | 5.2550 | 2.2924 |
| No log | 0.1905 | 4 | 3.2269 | 0.0461 | 3.2269 | 1.7964 |
| No log | 0.2857 | 6 | 2.0799 | 0.0255 | 2.0799 | 1.4422 |
| No log | 0.3810 | 8 | 1.5460 | 0.1352 | 1.5460 | 1.2434 |
| No log | 0.4762 | 10 | 1.4674 | 0.1208 | 1.4674 | 1.2114 |
| No log | 0.5714 | 12 | 1.7643 | -0.0772 | 1.7643 | 1.3283 |
| No log | 0.6667 | 14 | 1.4056 | 0.0515 | 1.4056 | 1.1856 |
| No log | 0.7619 | 16 | 1.2628 | 0.1947 | 1.2628 | 1.1237 |
| No log | 0.8571 | 18 | 1.2874 | 0.2455 | 1.2874 | 1.1347 |
| No log | 0.9524 | 20 | 1.2339 | 0.2491 | 1.2339 | 1.1108 |
| No log | 1.0476 | 22 | 1.2112 | 0.2429 | 1.2112 | 1.1006 |
| No log | 1.1429 | 24 | 1.1834 | 0.2570 | 1.1834 | 1.0878 |
| No log | 1.2381 | 26 | 1.1347 | 0.2926 | 1.1347 | 1.0652 |
| No log | 1.3333 | 28 | 1.2572 | 0.2356 | 1.2572 | 1.1212 |
| No log | 1.4286 | 30 | 1.4647 | 0.1830 | 1.4647 | 1.2103 |
| No log | 1.5238 | 32 | 1.3244 | 0.2305 | 1.3244 | 1.1508 |
| No log | 1.6190 | 34 | 1.1275 | 0.3410 | 1.1275 | 1.0618 |
| No log | 1.7143 | 36 | 1.0760 | 0.2767 | 1.0760 | 1.0373 |
| No log | 1.8095 | 38 | 1.0864 | 0.3040 | 1.0864 | 1.0423 |
| No log | 1.9048 | 40 | 1.2220 | 0.2275 | 1.2220 | 1.1055 |
| No log | 2.0 | 42 | 1.3452 | 0.2036 | 1.3452 | 1.1598 |
| No log | 2.0952 | 44 | 1.4071 | 0.1303 | 1.4071 | 1.1862 |
| No log | 2.1905 | 46 | 1.2130 | 0.2367 | 1.2130 | 1.1013 |
| No log | 2.2857 | 48 | 1.0643 | 0.3692 | 1.0643 | 1.0316 |
| No log | 2.3810 | 50 | 1.0435 | 0.3935 | 1.0435 | 1.0215 |
| No log | 2.4762 | 52 | 1.0373 | 0.3691 | 1.0373 | 1.0185 |
| No log | 2.5714 | 54 | 1.0413 | 0.4032 | 1.0413 | 1.0205 |
| No log | 2.6667 | 56 | 1.0277 | 0.4249 | 1.0277 | 1.0138 |
| No log | 2.7619 | 58 | 1.0315 | 0.4304 | 1.0315 | 1.0156 |
| No log | 2.8571 | 60 | 1.0650 | 0.4294 | 1.0650 | 1.0320 |
| No log | 2.9524 | 62 | 1.1018 | 0.3638 | 1.1018 | 1.0497 |
| No log | 3.0476 | 64 | 1.0817 | 0.3573 | 1.0817 | 1.0401 |
| No log | 3.1429 | 66 | 1.0726 | 0.3667 | 1.0726 | 1.0357 |
| No log | 3.2381 | 68 | 1.0616 | 0.3684 | 1.0616 | 1.0303 |
| No log | 3.3333 | 70 | 1.1515 | 0.3837 | 1.1515 | 1.0731 |
| No log | 3.4286 | 72 | 1.1701 | 0.3816 | 1.1701 | 1.0817 |
| No log | 3.5238 | 74 | 1.1333 | 0.3743 | 1.1333 | 1.0646 |
| No log | 3.6190 | 76 | 1.1264 | 0.4419 | 1.1264 | 1.0613 |
| No log | 3.7143 | 78 | 1.1636 | 0.3745 | 1.1636 | 1.0787 |
| No log | 3.8095 | 80 | 1.2068 | 0.3002 | 1.2068 | 1.0985 |
| No log | 3.9048 | 82 | 1.2049 | 0.2722 | 1.2049 | 1.0977 |
| No log | 4.0 | 84 | 1.1330 | 0.3105 | 1.1330 | 1.0644 |
| No log | 4.0952 | 86 | 1.0060 | 0.4504 | 1.0060 | 1.0030 |
| No log | 4.1905 | 88 | 0.9472 | 0.4822 | 0.9472 | 0.9732 |
| No log | 4.2857 | 90 | 0.9385 | 0.4562 | 0.9385 | 0.9688 |
| No log | 4.3810 | 92 | 0.9757 | 0.4508 | 0.9757 | 0.9878 |
| No log | 4.4762 | 94 | 1.0390 | 0.4288 | 1.0390 | 1.0193 |
| No log | 4.5714 | 96 | 1.0921 | 0.4065 | 1.0921 | 1.0450 |
| No log | 4.6667 | 98 | 1.2559 | 0.4066 | 1.2559 | 1.1207 |
| No log | 4.7619 | 100 | 1.2986 | 0.3796 | 1.2986 | 1.1395 |
| No log | 4.8571 | 102 | 1.2061 | 0.4479 | 1.2061 | 1.0982 |
| No log | 4.9524 | 104 | 1.0086 | 0.5448 | 1.0086 | 1.0043 |
| No log | 5.0476 | 106 | 0.9684 | 0.5628 | 0.9684 | 0.9841 |
| No log | 5.1429 | 108 | 0.9825 | 0.5192 | 0.9825 | 0.9912 |
| No log | 5.2381 | 110 | 1.0814 | 0.3597 | 1.0814 | 1.0399 |
| No log | 5.3333 | 112 | 1.0759 | 0.3261 | 1.0759 | 1.0373 |
| No log | 5.4286 | 114 | 0.9730 | 0.4662 | 0.9730 | 0.9864 |
| No log | 5.5238 | 116 | 0.9486 | 0.5179 | 0.9486 | 0.9740 |
| No log | 5.6190 | 118 | 0.9684 | 0.5162 | 0.9684 | 0.9841 |
| No log | 5.7143 | 120 | 1.0511 | 0.4641 | 1.0511 | 1.0252 |
| No log | 5.8095 | 122 | 1.1017 | 0.4323 | 1.1017 | 1.0496 |
| No log | 5.9048 | 124 | 1.0708 | 0.4227 | 1.0708 | 1.0348 |
| No log | 6.0 | 126 | 0.9780 | 0.4246 | 0.9780 | 0.9889 |
| No log | 6.0952 | 128 | 0.9491 | 0.4136 | 0.9491 | 0.9742 |
| No log | 6.1905 | 130 | 0.9640 | 0.4371 | 0.9640 | 0.9818 |
| No log | 6.2857 | 132 | 1.0567 | 0.3934 | 1.0567 | 1.0279 |
| No log | 6.3810 | 134 | 1.0949 | 0.3620 | 1.0948 | 1.0464 |
| No log | 6.4762 | 136 | 1.1034 | 0.3221 | 1.1034 | 1.0504 |
| No log | 6.5714 | 138 | 1.0384 | 0.3550 | 1.0384 | 1.0190 |
| No log | 6.6667 | 140 | 1.0675 | 0.4359 | 1.0675 | 1.0332 |
| No log | 6.7619 | 142 | 1.1632 | 0.4166 | 1.1632 | 1.0785 |
| No log | 6.8571 | 144 | 1.3033 | 0.3780 | 1.3033 | 1.1416 |
| No log | 6.9524 | 146 | 1.4630 | 0.3787 | 1.4630 | 1.2095 |
| No log | 7.0476 | 148 | 1.5900 | 0.3426 | 1.5900 | 1.2609 |
| No log | 7.1429 | 150 | 1.5914 | 0.3416 | 1.5915 | 1.2615 |
| No log | 7.2381 | 152 | 1.4656 | 0.3698 | 1.4656 | 1.2106 |
| No log | 7.3333 | 154 | 1.4481 | 0.3899 | 1.4481 | 1.2034 |
| No log | 7.4286 | 156 | 1.3724 | 0.4080 | 1.3724 | 1.1715 |
| No log | 7.5238 | 158 | 1.2470 | 0.4221 | 1.2470 | 1.1167 |
| No log | 7.6190 | 160 | 1.1794 | 0.4287 | 1.1794 | 1.0860 |
| No log | 7.7143 | 162 | 1.1529 | 0.4251 | 1.1529 | 1.0737 |
| No log | 7.8095 | 164 | 1.2254 | 0.4189 | 1.2254 | 1.1070 |
| No log | 7.9048 | 166 | 1.2320 | 0.4327 | 1.2320 | 1.1100 |
| No log | 8.0 | 168 | 1.2251 | 0.4171 | 1.2251 | 1.1068 |
| No log | 8.0952 | 170 | 1.2475 | 0.3661 | 1.2475 | 1.1169 |
| No log | 8.1905 | 172 | 1.1958 | 0.3801 | 1.1958 | 1.0935 |
| No log | 8.2857 | 174 | 1.1505 | 0.4102 | 1.1505 | 1.0726 |
| No log | 8.3810 | 176 | 1.1411 | 0.3968 | 1.1411 | 1.0682 |
| No log | 8.4762 | 178 | 1.1938 | 0.4046 | 1.1938 | 1.0926 |
| No log | 8.5714 | 180 | 1.2062 | 0.4136 | 1.2062 | 1.0983 |
| No log | 8.6667 | 182 | 1.2716 | 0.4169 | 1.2716 | 1.1276 |
| No log | 8.7619 | 184 | 1.4046 | 0.3882 | 1.4046 | 1.1852 |
| No log | 8.8571 | 186 | 1.5110 | 0.3578 | 1.5110 | 1.2292 |
| No log | 8.9524 | 188 | 1.4979 | 0.3514 | 1.4979 | 1.2239 |
| No log | 9.0476 | 190 | 1.4452 | 0.3849 | 1.4452 | 1.2022 |
| No log | 9.1429 | 192 | 1.3750 | 0.3703 | 1.3750 | 1.1726 |
| No log | 9.2381 | 194 | 1.2216 | 0.4260 | 1.2216 | 1.1053 |
| No log | 9.3333 | 196 | 1.1626 | 0.4460 | 1.1626 | 1.0782 |
| No log | 9.4286 | 198 | 1.1995 | 0.4248 | 1.1995 | 1.0952 |
| No log | 9.5238 | 200 | 1.2096 | 0.4066 | 1.2096 | 1.0998 |
| No log | 9.6190 | 202 | 1.1673 | 0.4267 | 1.1673 | 1.0804 |
| No log | 9.7143 | 204 | 1.1246 | 0.4520 | 1.1246 | 1.0605 |
| No log | 9.8095 | 206 | 1.0390 | 0.4467 | 1.0390 | 1.0193 |
| No log | 9.9048 | 208 | 1.0240 | 0.4945 | 1.0240 | 1.0119 |
| No log | 10.0 | 210 | 1.0624 | 0.4620 | 1.0624 | 1.0307 |
| No log | 10.0952 | 212 | 1.1313 | 0.5079 | 1.1313 | 1.0636 |
| No log | 10.1905 | 214 | 1.2607 | 0.4798 | 1.2607 | 1.1228 |
| No log | 10.2857 | 216 | 1.3951 | 0.4148 | 1.3951 | 1.1811 |
| No log | 10.3810 | 218 | 1.3825 | 0.4304 | 1.3825 | 1.1758 |
| No log | 10.4762 | 220 | 1.1862 | 0.4437 | 1.1862 | 1.0891 |
| No log | 10.5714 | 222 | 1.1460 | 0.4452 | 1.1460 | 1.0705 |
| No log | 10.6667 | 224 | 1.0863 | 0.4285 | 1.0863 | 1.0423 |
| No log | 10.7619 | 226 | 1.0646 | 0.4884 | 1.0646 | 1.0318 |
| No log | 10.8571 | 228 | 1.0960 | 0.5117 | 1.0960 | 1.0469 |
| No log | 10.9524 | 230 | 1.1275 | 0.4617 | 1.1275 | 1.0618 |
| No log | 11.0476 | 232 | 1.1129 | 0.4768 | 1.1129 | 1.0549 |
| No log | 11.1429 | 234 | 1.1294 | 0.4691 | 1.1294 | 1.0627 |
| No log | 11.2381 | 236 | 1.1441 | 0.4533 | 1.1441 | 1.0696 |
| No log | 11.3333 | 238 | 1.0795 | 0.4958 | 1.0795 | 1.0390 |
| No log | 11.4286 | 240 | 0.9531 | 0.5258 | 0.9531 | 0.9763 |
| No log | 11.5238 | 242 | 0.9166 | 0.5068 | 0.9166 | 0.9574 |
| No log | 11.6190 | 244 | 0.9413 | 0.5245 | 0.9413 | 0.9702 |
| No log | 11.7143 | 246 | 1.0268 | 0.4996 | 1.0268 | 1.0133 |
| No log | 11.8095 | 248 | 1.2325 | 0.4383 | 1.2325 | 1.1102 |
| No log | 11.9048 | 250 | 1.4481 | 0.3679 | 1.4481 | 1.2034 |
| No log | 12.0 | 252 | 1.5714 | 0.3629 | 1.5714 | 1.2536 |
| No log | 12.0952 | 254 | 1.4283 | 0.3880 | 1.4283 | 1.1951 |
| No log | 12.1905 | 256 | 1.2698 | 0.4291 | 1.2698 | 1.1269 |
| No log | 12.2857 | 258 | 1.3607 | 0.4218 | 1.3607 | 1.1665 |
| No log | 12.3810 | 260 | 1.4739 | 0.3576 | 1.4739 | 1.2141 |
| No log | 12.4762 | 262 | 1.4968 | 0.3339 | 1.4968 | 1.2234 |
| No log | 12.5714 | 264 | 1.4414 | 0.3507 | 1.4414 | 1.2006 |
| No log | 12.6667 | 266 | 1.5300 | 0.3473 | 1.5300 | 1.2370 |
| No log | 12.7619 | 268 | 1.5102 | 0.4307 | 1.5102 | 1.2289 |
| No log | 12.8571 | 270 | 1.3684 | 0.4575 | 1.3684 | 1.1698 |
| No log | 12.9524 | 272 | 1.1485 | 0.5042 | 1.1485 | 1.0717 |
| No log | 13.0476 | 274 | 1.0912 | 0.4930 | 1.0912 | 1.0446 |
| No log | 13.1429 | 276 | 1.1692 | 0.4730 | 1.1692 | 1.0813 |
| No log | 13.2381 | 278 | 1.2550 | 0.4556 | 1.2550 | 1.1203 |
| No log | 13.3333 | 280 | 1.2219 | 0.4684 | 1.2219 | 1.1054 |
| No log | 13.4286 | 282 | 1.1157 | 0.5319 | 1.1157 | 1.0562 |
| No log | 13.5238 | 284 | 1.0325 | 0.5163 | 1.0325 | 1.0161 |
| No log | 13.6190 | 286 | 1.0678 | 0.5217 | 1.0678 | 1.0334 |
| No log | 13.7143 | 288 | 1.1140 | 0.5508 | 1.1140 | 1.0555 |
| No log | 13.8095 | 290 | 1.1735 | 0.4869 | 1.1735 | 1.0833 |
| No log | 13.9048 | 292 | 1.1556 | 0.4818 | 1.1556 | 1.0750 |
| No log | 14.0 | 294 | 1.0707 | 0.5376 | 1.0707 | 1.0347 |
| No log | 14.0952 | 296 | 0.9646 | 0.5690 | 0.9646 | 0.9821 |
| No log | 14.1905 | 298 | 1.0185 | 0.5309 | 1.0185 | 1.0092 |
| No log | 14.2857 | 300 | 1.1601 | 0.4962 | 1.1601 | 1.0771 |
| No log | 14.3810 | 302 | 1.3714 | 0.4474 | 1.3714 | 1.1711 |
| No log | 14.4762 | 304 | 1.3803 | 0.4590 | 1.3803 | 1.1749 |
| No log | 14.5714 | 306 | 1.2577 | 0.5002 | 1.2577 | 1.1215 |
| No log | 14.6667 | 308 | 1.1966 | 0.5167 | 1.1966 | 1.0939 |
| No log | 14.7619 | 310 | 1.1754 | 0.5102 | 1.1754 | 1.0842 |
| No log | 14.8571 | 312 | 1.2158 | 0.4927 | 1.2158 | 1.1027 |
| No log | 14.9524 | 314 | 1.1180 | 0.5329 | 1.1180 | 1.0574 |
| No log | 15.0476 | 316 | 1.0492 | 0.5374 | 1.0492 | 1.0243 |
| No log | 15.1429 | 318 | 0.9954 | 0.5413 | 0.9954 | 0.9977 |
| No log | 15.2381 | 320 | 1.0976 | 0.5644 | 1.0976 | 1.0477 |
| No log | 15.3333 | 322 | 1.2211 | 0.5160 | 1.2211 | 1.1051 |
| No log | 15.4286 | 324 | 1.2551 | 0.5017 | 1.2551 | 1.1203 |
| No log | 15.5238 | 326 | 1.1492 | 0.5285 | 1.1492 | 1.0720 |
| No log | 15.6190 | 328 | 1.0019 | 0.5200 | 1.0019 | 1.0009 |
| No log | 15.7143 | 330 | 0.9322 | 0.5142 | 0.9322 | 0.9655 |
| No log | 15.8095 | 332 | 0.9929 | 0.5125 | 0.9929 | 0.9965 |
| No log | 15.9048 | 334 | 1.1471 | 0.4511 | 1.1471 | 1.0710 |
| No log | 16.0 | 336 | 1.2552 | 0.4393 | 1.2552 | 1.1204 |
| No log | 16.0952 | 338 | 1.2504 | 0.4393 | 1.2504 | 1.1182 |
| No log | 16.1905 | 340 | 1.1400 | 0.4800 | 1.1400 | 1.0677 |
| No log | 16.2857 | 342 | 1.0787 | 0.4655 | 1.0787 | 1.0386 |
| No log | 16.3810 | 344 | 1.0720 | 0.5111 | 1.0720 | 1.0354 |
| No log | 16.4762 | 346 | 1.2041 | 0.5097 | 1.2041 | 1.0973 |
| No log | 16.5714 | 348 | 1.3669 | 0.4637 | 1.3669 | 1.1691 |
| No log | 16.6667 | 350 | 1.4601 | 0.4509 | 1.4601 | 1.2083 |
| No log | 16.7619 | 352 | 1.3485 | 0.4724 | 1.3485 | 1.1612 |
| No log | 16.8571 | 354 | 1.1182 | 0.5402 | 1.1182 | 1.0574 |
| No log | 16.9524 | 356 | 1.0657 | 0.5232 | 1.0657 | 1.0323 |
| No log | 17.0476 | 358 | 1.1172 | 0.5452 | 1.1172 | 1.0570 |
| No log | 17.1429 | 360 | 1.1231 | 0.5441 | 1.1231 | 1.0598 |
| No log | 17.2381 | 362 | 1.1674 | 0.5266 | 1.1674 | 1.0804 |
| No log | 17.3333 | 364 | 1.1957 | 0.4995 | 1.1957 | 1.0935 |
| No log | 17.4286 | 366 | 1.1507 | 0.5281 | 1.1507 | 1.0727 |
| No log | 17.5238 | 368 | 1.0558 | 0.5289 | 1.0558 | 1.0275 |
| No log | 17.6190 | 370 | 0.9715 | 0.5473 | 0.9715 | 0.9856 |
| No log | 17.7143 | 372 | 0.9983 | 0.5347 | 0.9983 | 0.9992 |
| No log | 17.8095 | 374 | 1.0410 | 0.5326 | 1.0410 | 1.0203 |
| No log | 17.9048 | 376 | 1.0853 | 0.5186 | 1.0853 | 1.0418 |
| No log | 18.0 | 378 | 1.1557 | 0.5067 | 1.1557 | 1.0750 |
| No log | 18.0952 | 380 | 1.2213 | 0.5031 | 1.2213 | 1.1051 |
| No log | 18.1905 | 382 | 1.2332 | 0.5303 | 1.2332 | 1.1105 |
| No log | 18.2857 | 384 | 1.1862 | 0.5639 | 1.1862 | 1.0891 |
| No log | 18.3810 | 386 | 1.1647 | 0.5515 | 1.1647 | 1.0792 |
| No log | 18.4762 | 388 | 1.0349 | 0.5280 | 1.0349 | 1.0173 |
| No log | 18.5714 | 390 | 0.9677 | 0.5135 | 0.9677 | 0.9837 |
| No log | 18.6667 | 392 | 0.9419 | 0.5308 | 0.9419 | 0.9705 |
| No log | 18.7619 | 394 | 0.9577 | 0.5432 | 0.9577 | 0.9786 |
| No log | 18.8571 | 396 | 1.1277 | 0.5288 | 1.1277 | 1.0619 |
| No log | 18.9524 | 398 | 1.4182 | 0.4397 | 1.4182 | 1.1909 |
| No log | 19.0476 | 400 | 1.6034 | 0.3766 | 1.6034 | 1.2663 |
| No log | 19.1429 | 402 | 1.5233 | 0.3713 | 1.5233 | 1.2342 |
| No log | 19.2381 | 404 | 1.3962 | 0.4304 | 1.3962 | 1.1816 |
| No log | 19.3333 | 406 | 1.2501 | 0.4707 | 1.2501 | 1.1181 |
| No log | 19.4286 | 408 | 1.1105 | 0.4910 | 1.1105 | 1.0538 |
| No log | 19.5238 | 410 | 1.0037 | 0.4556 | 1.0037 | 1.0019 |
| No log | 19.6190 | 412 | 0.9612 | 0.5072 | 0.9612 | 0.9804 |
| No log | 19.7143 | 414 | 0.9435 | 0.5352 | 0.9435 | 0.9713 |
| No log | 19.8095 | 416 | 0.9062 | 0.5545 | 0.9062 | 0.9520 |
| No log | 19.9048 | 418 | 0.9528 | 0.5567 | 0.9528 | 0.9761 |
| No log | 20.0 | 420 | 0.9646 | 0.5360 | 0.9646 | 0.9821 |
| No log | 20.0952 | 422 | 1.0397 | 0.4835 | 1.0397 | 1.0196 |
| No log | 20.1905 | 424 | 1.0617 | 0.5224 | 1.0617 | 1.0304 |
| No log | 20.2857 | 426 | 0.9938 | 0.5783 | 0.9938 | 0.9969 |
| No log | 20.3810 | 428 | 0.9602 | 0.5835 | 0.9602 | 0.9799 |
| No log | 20.4762 | 430 | 0.9944 | 0.5691 | 0.9944 | 0.9972 |
| No log | 20.5714 | 432 | 1.1071 | 0.5394 | 1.1071 | 1.0522 |
| No log | 20.6667 | 434 | 1.2438 | 0.4925 | 1.2438 | 1.1152 |
| No log | 20.7619 | 436 | 1.2425 | 0.4925 | 1.2425 | 1.1147 |
| No log | 20.8571 | 438 | 1.1830 | 0.5136 | 1.1830 | 1.0877 |
| No log | 20.9524 | 440 | 1.1091 | 0.5497 | 1.1091 | 1.0532 |
| No log | 21.0476 | 442 | 1.1264 | 0.5548 | 1.1264 | 1.0613 |
| No log | 21.1429 | 444 | 1.2292 | 0.5069 | 1.2292 | 1.1087 |
| No log | 21.2381 | 446 | 1.5181 | 0.3601 | 1.5181 | 1.2321 |
| No log | 21.3333 | 448 | 1.6781 | 0.3646 | 1.6781 | 1.2954 |
| No log | 21.4286 | 450 | 1.5304 | 0.3675 | 1.5304 | 1.2371 |
| No log | 21.5238 | 452 | 1.3145 | 0.4691 | 1.3145 | 1.1465 |
| No log | 21.6190 | 454 | 1.1453 | 0.5237 | 1.1453 | 1.0702 |
| No log | 21.7143 | 456 | 1.0943 | 0.5284 | 1.0943 | 1.0461 |
| No log | 21.8095 | 458 | 1.0089 | 0.4853 | 1.0089 | 1.0044 |
| No log | 21.9048 | 460 | 1.0139 | 0.5055 | 1.0139 | 1.0069 |
| No log | 22.0 | 462 | 1.0470 | 0.5239 | 1.0470 | 1.0233 |
| No log | 22.0952 | 464 | 1.1224 | 0.4907 | 1.1224 | 1.0594 |
| No log | 22.1905 | 466 | 1.1147 | 0.4763 | 1.1147 | 1.0558 |
| No log | 22.2857 | 468 | 1.0737 | 0.5109 | 1.0737 | 1.0362 |
| No log | 22.3810 | 470 | 0.9452 | 0.5447 | 0.9452 | 0.9722 |
| No log | 22.4762 | 472 | 0.9021 | 0.5317 | 0.9021 | 0.9498 |
| No log | 22.5714 | 474 | 0.9333 | 0.5010 | 0.9333 | 0.9661 |
| No log | 22.6667 | 476 | 1.0366 | 0.5221 | 1.0366 | 1.0181 |
| No log | 22.7619 | 478 | 1.2016 | 0.5032 | 1.2016 | 1.0962 |
| No log | 22.8571 | 480 | 1.3739 | 0.4645 | 1.3739 | 1.1721 |
| No log | 22.9524 | 482 | 1.3440 | 0.4722 | 1.3440 | 1.1593 |
| No log | 23.0476 | 484 | 1.2310 | 0.5376 | 1.2310 | 1.1095 |
| No log | 23.1429 | 486 | 1.1533 | 0.5758 | 1.1533 | 1.0739 |
| No log | 23.2381 | 488 | 1.1633 | 0.5364 | 1.1633 | 1.0786 |
| No log | 23.3333 | 490 | 1.2823 | 0.4690 | 1.2823 | 1.1324 |
| No log | 23.4286 | 492 | 1.3206 | 0.4453 | 1.3206 | 1.1492 |
| No log | 23.5238 | 494 | 1.2155 | 0.4926 | 1.2155 | 1.1025 |
| No log | 23.6190 | 496 | 1.0986 | 0.5498 | 1.0986 | 1.0481 |
| No log | 23.7143 | 498 | 1.0377 | 0.5371 | 1.0377 | 1.0187 |
| 0.428 | 23.8095 | 500 | 1.0517 | 0.5650 | 1.0517 | 1.0255 |
| 0.428 | 23.9048 | 502 | 1.1439 | 0.5300 | 1.1439 | 1.0695 |
| 0.428 | 24.0 | 504 | 1.1820 | 0.5345 | 1.1820 | 1.0872 |
| 0.428 | 24.0952 | 506 | 1.0685 | 0.5581 | 1.0685 | 1.0337 |
| 0.428 | 24.1905 | 508 | 1.0251 | 0.5693 | 1.0251 | 1.0125 |
| 0.428 | 24.2857 | 510 | 1.0103 | 0.5793 | 1.0103 | 1.0051 |
| 0.428 | 24.3810 | 512 | 1.0785 | 0.5487 | 1.0785 | 1.0385 |
| 0.428 | 24.4762 | 514 | 1.1509 | 0.5527 | 1.1509 | 1.0728 |
| 0.428 | 24.5714 | 516 | 1.1503 | 0.5709 | 1.1503 | 1.0725 |
| 0.428 | 24.6667 | 518 | 1.0906 | 0.5391 | 1.0906 | 1.0443 |
| 0.428 | 24.7619 | 520 | 1.0152 | 0.5438 | 1.0152 | 1.0076 |
| 0.428 | 24.8571 | 522 | 1.0284 | 0.5283 | 1.0284 | 1.0141 |
| 0.428 | 24.9524 | 524 | 1.1103 | 0.5202 | 1.1103 | 1.0537 |
| 0.428 | 25.0476 | 526 | 1.2406 | 0.5018 | 1.2406 | 1.1138 |
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/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k4_task1_organization
Base model
aubmindlab/bert-base-arabertv02