Instructions to use MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k13_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k13_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k13_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k13_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k13_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k13_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: 1.3189
- Qwk: 0.5191
- Mse: 1.3189
- Rmse: 1.1485
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 | 0.0351 | 2 | 7.0890 | -0.0056 | 7.0890 | 2.6625 |
| No log | 0.0702 | 4 | 4.7640 | 0.0813 | 4.7640 | 2.1826 |
| No log | 0.1053 | 6 | 4.9295 | -0.0889 | 4.9295 | 2.2202 |
| No log | 0.1404 | 8 | 4.1475 | -0.0874 | 4.1475 | 2.0365 |
| No log | 0.1754 | 10 | 2.1597 | 0.1719 | 2.1597 | 1.4696 |
| No log | 0.2105 | 12 | 2.1562 | 0.1148 | 2.1562 | 1.4684 |
| No log | 0.2456 | 14 | 2.9088 | -0.0265 | 2.9088 | 1.7055 |
| No log | 0.2807 | 16 | 2.6935 | -0.0267 | 2.6935 | 1.6412 |
| No log | 0.3158 | 18 | 2.2916 | -0.0301 | 2.2916 | 1.5138 |
| No log | 0.3509 | 20 | 2.1608 | 0.0508 | 2.1608 | 1.4700 |
| No log | 0.3860 | 22 | 2.1471 | 0.0508 | 2.1471 | 1.4653 |
| No log | 0.4211 | 24 | 1.9872 | 0.1495 | 1.9872 | 1.4097 |
| No log | 0.4561 | 26 | 1.8303 | 0.1346 | 1.8303 | 1.3529 |
| No log | 0.4912 | 28 | 1.7117 | 0.0396 | 1.7117 | 1.3083 |
| No log | 0.5263 | 30 | 1.6253 | 0.1346 | 1.6253 | 1.2749 |
| No log | 0.5614 | 32 | 1.4922 | 0.2056 | 1.4922 | 1.2216 |
| No log | 0.5965 | 34 | 1.4199 | 0.3214 | 1.4199 | 1.1916 |
| No log | 0.6316 | 36 | 1.3566 | 0.3158 | 1.3566 | 1.1647 |
| No log | 0.6667 | 38 | 1.3449 | 0.2609 | 1.3449 | 1.1597 |
| No log | 0.7018 | 40 | 1.3587 | 0.2655 | 1.3587 | 1.1656 |
| No log | 0.7368 | 42 | 1.3553 | 0.2857 | 1.3553 | 1.1642 |
| No log | 0.7719 | 44 | 1.2530 | 0.3934 | 1.2530 | 1.1194 |
| No log | 0.8070 | 46 | 1.2032 | 0.4480 | 1.2032 | 1.0969 |
| No log | 0.8421 | 48 | 1.2378 | 0.3448 | 1.2378 | 1.1126 |
| No log | 0.8772 | 50 | 1.2118 | 0.3898 | 1.2118 | 1.1008 |
| No log | 0.9123 | 52 | 1.2714 | 0.3304 | 1.2714 | 1.1276 |
| No log | 0.9474 | 54 | 1.1765 | 0.4068 | 1.1765 | 1.0847 |
| No log | 0.9825 | 56 | 1.2742 | 0.4138 | 1.2742 | 1.1288 |
| No log | 1.0175 | 58 | 1.2500 | 0.5203 | 1.2500 | 1.1180 |
| No log | 1.0526 | 60 | 1.1480 | 0.5649 | 1.1480 | 1.0714 |
| No log | 1.0877 | 62 | 1.2368 | 0.5077 | 1.2368 | 1.1121 |
| No log | 1.1228 | 64 | 1.6388 | 0.3438 | 1.6388 | 1.2801 |
| No log | 1.1579 | 66 | 2.1526 | 0.0763 | 2.1526 | 1.4672 |
| No log | 1.1930 | 68 | 1.6667 | 0.3704 | 1.6667 | 1.2910 |
| No log | 1.2281 | 70 | 1.0912 | 0.5441 | 1.0912 | 1.0446 |
| No log | 1.2632 | 72 | 1.2609 | 0.5109 | 1.2609 | 1.1229 |
| No log | 1.2982 | 74 | 1.8650 | 0.3286 | 1.8650 | 1.3657 |
| No log | 1.3333 | 76 | 2.3656 | 0.125 | 2.3656 | 1.5381 |
| No log | 1.3684 | 78 | 2.4325 | 0.125 | 2.4325 | 1.5597 |
| No log | 1.4035 | 80 | 2.0840 | 0.2517 | 2.0840 | 1.4436 |
| No log | 1.4386 | 82 | 1.4459 | 0.4030 | 1.4459 | 1.2025 |
| No log | 1.4737 | 84 | 1.2800 | 0.5191 | 1.2800 | 1.1314 |
| No log | 1.5088 | 86 | 1.3988 | 0.4496 | 1.3988 | 1.1827 |
| No log | 1.5439 | 88 | 1.7591 | 0.3676 | 1.7591 | 1.3263 |
| No log | 1.5789 | 90 | 1.9653 | 0.2553 | 1.9653 | 1.4019 |
| No log | 1.6140 | 92 | 1.7355 | 0.3676 | 1.7355 | 1.3174 |
| No log | 1.6491 | 94 | 1.2334 | 0.5538 | 1.2334 | 1.1106 |
| No log | 1.6842 | 96 | 1.0083 | 0.6165 | 1.0083 | 1.0041 |
| No log | 1.7193 | 98 | 1.1392 | 0.5649 | 1.1392 | 1.0673 |
| No log | 1.7544 | 100 | 1.5489 | 0.4058 | 1.5489 | 1.2446 |
| No log | 1.7895 | 102 | 1.5240 | 0.4088 | 1.5240 | 1.2345 |
| No log | 1.8246 | 104 | 1.1488 | 0.5692 | 1.1488 | 1.0718 |
| No log | 1.8596 | 106 | 0.9292 | 0.6202 | 0.9292 | 0.9640 |
| No log | 1.8947 | 108 | 0.9404 | 0.544 | 0.9404 | 0.9698 |
| No log | 1.9298 | 110 | 1.0430 | 0.5891 | 1.0430 | 1.0213 |
| No log | 1.9649 | 112 | 1.4623 | 0.4662 | 1.4623 | 1.2093 |
| No log | 2.0 | 114 | 1.7948 | 0.3235 | 1.7948 | 1.3397 |
| No log | 2.0351 | 116 | 1.7297 | 0.3676 | 1.7297 | 1.3152 |
| No log | 2.0702 | 118 | 1.3630 | 0.5077 | 1.3630 | 1.1675 |
| No log | 2.1053 | 120 | 1.0164 | 0.6412 | 1.0164 | 1.0082 |
| No log | 2.1404 | 122 | 0.9005 | 0.6519 | 0.9005 | 0.9489 |
| No log | 2.1754 | 124 | 0.9460 | 0.5778 | 0.9460 | 0.9726 |
| No log | 2.2105 | 126 | 1.4516 | 0.4460 | 1.4516 | 1.2048 |
| No log | 2.2456 | 128 | 1.6068 | 0.3913 | 1.6068 | 1.2676 |
| No log | 2.2807 | 130 | 1.2794 | 0.5109 | 1.2794 | 1.1311 |
| No log | 2.3158 | 132 | 0.8859 | 0.5970 | 0.8859 | 0.9412 |
| No log | 2.3509 | 134 | 0.8329 | 0.6618 | 0.8329 | 0.9126 |
| No log | 2.3860 | 136 | 1.0172 | 0.5714 | 1.0172 | 1.0086 |
| No log | 2.4211 | 138 | 1.5141 | 0.3913 | 1.5141 | 1.2305 |
| No log | 2.4561 | 140 | 1.5982 | 0.3571 | 1.5982 | 1.2642 |
| No log | 2.4912 | 142 | 1.2624 | 0.4812 | 1.2624 | 1.1236 |
| No log | 2.5263 | 144 | 1.1848 | 0.5630 | 1.1848 | 1.0885 |
| No log | 2.5614 | 146 | 1.1097 | 0.5821 | 1.1097 | 1.0534 |
| No log | 2.5965 | 148 | 1.1443 | 0.5821 | 1.1443 | 1.0697 |
| No log | 2.6316 | 150 | 1.0954 | 0.6074 | 1.0954 | 1.0466 |
| No log | 2.6667 | 152 | 1.2147 | 0.5735 | 1.2147 | 1.1021 |
| No log | 2.7018 | 154 | 1.2397 | 0.5401 | 1.2397 | 1.1134 |
| No log | 2.7368 | 156 | 1.4053 | 0.4317 | 1.4053 | 1.1854 |
| No log | 2.7719 | 158 | 1.2907 | 0.5072 | 1.2907 | 1.1361 |
| No log | 2.8070 | 160 | 1.0262 | 0.6029 | 1.0262 | 1.0130 |
| No log | 2.8421 | 162 | 0.8790 | 0.6857 | 0.8790 | 0.9375 |
| No log | 2.8772 | 164 | 0.9280 | 0.6471 | 0.9280 | 0.9633 |
| No log | 2.9123 | 166 | 1.1564 | 0.5564 | 1.1564 | 1.0754 |
| No log | 2.9474 | 168 | 1.4783 | 0.4234 | 1.4783 | 1.2158 |
| No log | 2.9825 | 170 | 1.7066 | 0.3714 | 1.7066 | 1.3064 |
| No log | 3.0175 | 172 | 1.6682 | 0.3714 | 1.6682 | 1.2916 |
| No log | 3.0526 | 174 | 1.5401 | 0.4088 | 1.5401 | 1.2410 |
| No log | 3.0877 | 176 | 1.1897 | 0.5781 | 1.1897 | 1.0908 |
| No log | 3.1228 | 178 | 1.0068 | 0.6522 | 1.0068 | 1.0034 |
| No log | 3.1579 | 180 | 1.0185 | 0.6667 | 1.0185 | 1.0092 |
| No log | 3.1930 | 182 | 1.1907 | 0.5496 | 1.1907 | 1.0912 |
| No log | 3.2281 | 184 | 1.3530 | 0.4526 | 1.3530 | 1.1632 |
| No log | 3.2632 | 186 | 1.2040 | 0.5217 | 1.2040 | 1.0973 |
| No log | 3.2982 | 188 | 0.9361 | 0.6286 | 0.9361 | 0.9675 |
| No log | 3.3333 | 190 | 0.8476 | 0.6569 | 0.8476 | 0.9207 |
| No log | 3.3684 | 192 | 0.9507 | 0.5649 | 0.9507 | 0.9751 |
| No log | 3.4035 | 194 | 1.2357 | 0.5231 | 1.2357 | 1.1116 |
| No log | 3.4386 | 196 | 1.3580 | 0.5 | 1.3580 | 1.1653 |
| No log | 3.4737 | 198 | 1.2724 | 0.5231 | 1.2724 | 1.1280 |
| No log | 3.5088 | 200 | 1.2347 | 0.5231 | 1.2347 | 1.1112 |
| No log | 3.5439 | 202 | 1.2509 | 0.5231 | 1.2509 | 1.1184 |
| No log | 3.5789 | 204 | 1.1497 | 0.5231 | 1.1497 | 1.0722 |
| No log | 3.6140 | 206 | 1.1353 | 0.5496 | 1.1353 | 1.0655 |
| No log | 3.6491 | 208 | 1.2600 | 0.5191 | 1.2600 | 1.1225 |
| No log | 3.6842 | 210 | 1.2755 | 0.5191 | 1.2755 | 1.1294 |
| No log | 3.7193 | 212 | 1.1953 | 0.5344 | 1.1953 | 1.0933 |
| No log | 3.7544 | 214 | 1.1515 | 0.5385 | 1.1515 | 1.0731 |
| No log | 3.7895 | 216 | 1.2174 | 0.5077 | 1.2174 | 1.1033 |
| No log | 3.8246 | 218 | 1.0833 | 0.5954 | 1.0833 | 1.0408 |
| No log | 3.8596 | 220 | 0.9333 | 0.6519 | 0.9333 | 0.9661 |
| No log | 3.8947 | 222 | 0.9132 | 0.6519 | 0.9132 | 0.9556 |
| No log | 3.9298 | 224 | 1.0304 | 0.5846 | 1.0304 | 1.0151 |
| No log | 3.9649 | 226 | 1.1059 | 0.5385 | 1.1059 | 1.0516 |
| No log | 4.0 | 228 | 0.9664 | 0.6047 | 0.9664 | 0.9831 |
| No log | 4.0351 | 230 | 0.8741 | 0.6406 | 0.8741 | 0.9349 |
| No log | 4.0702 | 232 | 0.8341 | 0.6202 | 0.8341 | 0.9133 |
| No log | 4.1053 | 234 | 0.9415 | 0.6047 | 0.9415 | 0.9703 |
| No log | 4.1404 | 236 | 1.2061 | 0.4812 | 1.2061 | 1.0982 |
| No log | 4.1754 | 238 | 1.1762 | 0.4812 | 1.1762 | 1.0845 |
| No log | 4.2105 | 240 | 0.9153 | 0.6466 | 0.9153 | 0.9567 |
| No log | 4.2456 | 242 | 0.9131 | 0.6567 | 0.9131 | 0.9555 |
| No log | 4.2807 | 244 | 0.9644 | 0.6015 | 0.9644 | 0.9820 |
| No log | 4.3158 | 246 | 0.9930 | 0.5926 | 0.9930 | 0.9965 |
| No log | 4.3509 | 248 | 1.1115 | 0.5758 | 1.1115 | 1.0543 |
| No log | 4.3860 | 250 | 1.1390 | 0.5496 | 1.1390 | 1.0672 |
| No log | 4.4211 | 252 | 1.0773 | 0.5758 | 1.0773 | 1.0379 |
| No log | 4.4561 | 254 | 1.0022 | 0.5758 | 1.0022 | 1.0011 |
| No log | 4.4912 | 256 | 1.1308 | 0.5385 | 1.1308 | 1.0634 |
| No log | 4.5263 | 258 | 1.1032 | 0.5385 | 1.1032 | 1.0503 |
| No log | 4.5614 | 260 | 0.9739 | 0.5938 | 0.9739 | 0.9869 |
| No log | 4.5965 | 262 | 0.9708 | 0.6107 | 0.9708 | 0.9853 |
| No log | 4.6316 | 264 | 1.1347 | 0.5496 | 1.1347 | 1.0652 |
| No log | 4.6667 | 266 | 1.2290 | 0.4706 | 1.2290 | 1.1086 |
| No log | 4.7018 | 268 | 1.3228 | 0.4706 | 1.3228 | 1.1501 |
| No log | 4.7368 | 270 | 1.5627 | 0.3913 | 1.5627 | 1.2501 |
| No log | 4.7719 | 272 | 1.5275 | 0.4088 | 1.5275 | 1.2359 |
| No log | 4.8070 | 274 | 1.3259 | 0.4706 | 1.3259 | 1.1515 |
| No log | 4.8421 | 276 | 1.4167 | 0.4444 | 1.4167 | 1.1902 |
| No log | 4.8772 | 278 | 1.3584 | 0.4478 | 1.3584 | 1.1655 |
| No log | 4.9123 | 280 | 1.1457 | 0.5469 | 1.1457 | 1.0704 |
| No log | 4.9474 | 282 | 1.0738 | 0.5760 | 1.0738 | 1.0362 |
| No log | 4.9825 | 284 | 1.1663 | 0.5079 | 1.1663 | 1.0799 |
| No log | 5.0175 | 286 | 1.4391 | 0.4308 | 1.4391 | 1.1996 |
| No log | 5.0526 | 288 | 1.9358 | 0.2857 | 1.9358 | 1.3913 |
| No log | 5.0877 | 290 | 1.9909 | 0.2817 | 1.9909 | 1.4110 |
| No log | 5.1228 | 292 | 1.7702 | 0.3650 | 1.7702 | 1.3305 |
| No log | 5.1579 | 294 | 1.6300 | 0.3824 | 1.6300 | 1.2767 |
| No log | 5.1930 | 296 | 1.3762 | 0.4478 | 1.3762 | 1.1731 |
| No log | 5.2281 | 298 | 1.3510 | 0.4741 | 1.3510 | 1.1623 |
| No log | 5.2632 | 300 | 1.5248 | 0.4412 | 1.5248 | 1.2348 |
| No log | 5.2982 | 302 | 1.7052 | 0.3478 | 1.7052 | 1.3058 |
| No log | 5.3333 | 304 | 1.7566 | 0.3478 | 1.7566 | 1.3254 |
| No log | 5.3684 | 306 | 1.5688 | 0.3971 | 1.5688 | 1.2525 |
| No log | 5.4035 | 308 | 1.3046 | 0.5156 | 1.3046 | 1.1422 |
| No log | 5.4386 | 310 | 1.2038 | 0.5512 | 1.2038 | 1.0972 |
| No log | 5.4737 | 312 | 1.2005 | 0.5079 | 1.2005 | 1.0957 |
| No log | 5.5088 | 314 | 1.2124 | 0.5079 | 1.2124 | 1.1011 |
| No log | 5.5439 | 316 | 1.1615 | 0.5156 | 1.1615 | 1.0777 |
| No log | 5.5789 | 318 | 1.0225 | 0.5891 | 1.0225 | 1.0112 |
| No log | 5.6140 | 320 | 0.9913 | 0.6107 | 0.9913 | 0.9956 |
| No log | 5.6491 | 322 | 0.9510 | 0.6107 | 0.9510 | 0.9752 |
| No log | 5.6842 | 324 | 0.8395 | 0.6364 | 0.8395 | 0.9163 |
| No log | 5.7193 | 326 | 0.9347 | 0.6107 | 0.9347 | 0.9668 |
| No log | 5.7544 | 328 | 0.9764 | 0.6107 | 0.9764 | 0.9881 |
| No log | 5.7895 | 330 | 0.9121 | 0.6316 | 0.9121 | 0.9550 |
| No log | 5.8246 | 332 | 0.9515 | 0.6316 | 0.9515 | 0.9755 |
| No log | 5.8596 | 334 | 1.0262 | 0.5970 | 1.0262 | 1.0130 |
| No log | 5.8947 | 336 | 1.2361 | 0.4848 | 1.2361 | 1.1118 |
| No log | 5.9298 | 338 | 1.4300 | 0.4662 | 1.4300 | 1.1958 |
| No log | 5.9649 | 340 | 1.2936 | 0.4848 | 1.2936 | 1.1374 |
| No log | 6.0 | 342 | 1.0487 | 0.5197 | 1.0487 | 1.0241 |
| No log | 6.0351 | 344 | 0.8930 | 0.6462 | 0.8930 | 0.9450 |
| No log | 6.0702 | 346 | 0.8426 | 0.6512 | 0.8426 | 0.9179 |
| No log | 6.1053 | 348 | 0.9431 | 0.5938 | 0.9431 | 0.9711 |
| No log | 6.1404 | 350 | 1.2510 | 0.4885 | 1.2510 | 1.1185 |
| No log | 6.1754 | 352 | 1.4710 | 0.4394 | 1.4710 | 1.2129 |
| No log | 6.2105 | 354 | 1.3306 | 0.4427 | 1.3306 | 1.1535 |
| No log | 6.2456 | 356 | 1.2262 | 0.4615 | 1.2262 | 1.1073 |
| No log | 6.2807 | 358 | 1.0590 | 0.5271 | 1.0590 | 1.0291 |
| No log | 6.3158 | 360 | 1.0433 | 0.5271 | 1.0433 | 1.0214 |
| No log | 6.3509 | 362 | 1.0392 | 0.5538 | 1.0392 | 1.0194 |
| No log | 6.3860 | 364 | 1.1051 | 0.5496 | 1.1051 | 1.0512 |
| No log | 6.4211 | 366 | 1.0539 | 0.5538 | 1.0539 | 1.0266 |
| No log | 6.4561 | 368 | 1.0871 | 0.5496 | 1.0871 | 1.0427 |
| No log | 6.4912 | 370 | 1.0405 | 0.5538 | 1.0405 | 1.0201 |
| No log | 6.5263 | 372 | 0.9278 | 0.6 | 0.9278 | 0.9632 |
| No log | 6.5614 | 374 | 0.8332 | 0.625 | 0.8332 | 0.9128 |
| No log | 6.5965 | 376 | 0.8146 | 0.625 | 0.8146 | 0.9025 |
| No log | 6.6316 | 378 | 0.8241 | 0.625 | 0.8241 | 0.9078 |
| No log | 6.6667 | 380 | 0.8833 | 0.6202 | 0.8833 | 0.9398 |
| No log | 6.7018 | 382 | 0.9547 | 0.5938 | 0.9547 | 0.9771 |
| No log | 6.7368 | 384 | 0.9315 | 0.6202 | 0.9315 | 0.9652 |
| No log | 6.7719 | 386 | 0.9293 | 0.6406 | 0.9293 | 0.9640 |
| No log | 6.8070 | 388 | 0.9189 | 0.6299 | 0.9189 | 0.9586 |
| No log | 6.8421 | 390 | 0.9502 | 0.625 | 0.9502 | 0.9748 |
| No log | 6.8772 | 392 | 0.9768 | 0.6308 | 0.9768 | 0.9883 |
| No log | 6.9123 | 394 | 1.0212 | 0.6107 | 1.0212 | 1.0105 |
| No log | 6.9474 | 396 | 1.0299 | 0.6107 | 1.0299 | 1.0148 |
| No log | 6.9825 | 398 | 1.0870 | 0.5385 | 1.0870 | 1.0426 |
| No log | 7.0175 | 400 | 1.1547 | 0.4769 | 1.1547 | 1.0746 |
| No log | 7.0526 | 402 | 1.2640 | 0.4697 | 1.2640 | 1.1243 |
| No log | 7.0877 | 404 | 1.1516 | 0.5714 | 1.1516 | 1.0731 |
| No log | 7.1228 | 406 | 0.9756 | 0.6212 | 0.9756 | 0.9877 |
| No log | 7.1579 | 408 | 0.9944 | 0.6212 | 0.9944 | 0.9972 |
| No log | 7.1930 | 410 | 1.0961 | 0.5846 | 1.0961 | 1.0469 |
| No log | 7.2281 | 412 | 1.0862 | 0.5846 | 1.0862 | 1.0422 |
| No log | 7.2632 | 414 | 0.9552 | 0.6107 | 0.9552 | 0.9774 |
| No log | 7.2982 | 416 | 0.8246 | 0.6565 | 0.8246 | 0.9081 |
| No log | 7.3333 | 418 | 0.8338 | 0.6565 | 0.8338 | 0.9131 |
| No log | 7.3684 | 420 | 0.9924 | 0.5354 | 0.9924 | 0.9962 |
| No log | 7.4035 | 422 | 1.0882 | 0.5263 | 1.0882 | 1.0432 |
| No log | 7.4386 | 424 | 1.1246 | 0.5231 | 1.1246 | 1.0605 |
| No log | 7.4737 | 426 | 1.0147 | 0.5556 | 1.0147 | 1.0073 |
| No log | 7.5088 | 428 | 0.9035 | 0.6142 | 0.9035 | 0.9505 |
| No log | 7.5439 | 430 | 0.8139 | 0.6457 | 0.8139 | 0.9022 |
| No log | 7.5789 | 432 | 0.8465 | 0.6142 | 0.8465 | 0.9201 |
| No log | 7.6140 | 434 | 0.9813 | 0.5827 | 0.9813 | 0.9906 |
| No log | 7.6491 | 436 | 1.1246 | 0.5736 | 1.1246 | 1.0605 |
| No log | 7.6842 | 438 | 1.1731 | 0.5469 | 1.1731 | 1.0831 |
| No log | 7.7193 | 440 | 1.1088 | 0.5625 | 1.1088 | 1.0530 |
| No log | 7.7544 | 442 | 0.9496 | 0.5873 | 0.9496 | 0.9745 |
| No log | 7.7895 | 444 | 0.8353 | 0.6457 | 0.8353 | 0.9139 |
| No log | 7.8246 | 446 | 0.7711 | 0.6508 | 0.7711 | 0.8781 |
| No log | 7.8596 | 448 | 0.7558 | 0.6512 | 0.7558 | 0.8694 |
| No log | 7.8947 | 450 | 0.8109 | 0.6765 | 0.8109 | 0.9005 |
| No log | 7.9298 | 452 | 0.8379 | 0.6567 | 0.8379 | 0.9154 |
| No log | 7.9649 | 454 | 0.8305 | 0.6299 | 0.8305 | 0.9113 |
| No log | 8.0 | 456 | 0.8487 | 0.6349 | 0.8487 | 0.9212 |
| No log | 8.0351 | 458 | 0.9465 | 0.6032 | 0.9465 | 0.9729 |
| No log | 8.0702 | 460 | 1.0031 | 0.6032 | 1.0031 | 1.0015 |
| No log | 8.1053 | 462 | 1.0231 | 0.5846 | 1.0231 | 1.0115 |
| No log | 8.1404 | 464 | 1.0139 | 0.5649 | 1.0139 | 1.0069 |
| No log | 8.1754 | 466 | 1.0159 | 0.5909 | 1.0159 | 1.0079 |
| No log | 8.2105 | 468 | 1.0784 | 0.5303 | 1.0784 | 1.0385 |
| No log | 8.2456 | 470 | 1.0436 | 0.5649 | 1.0436 | 1.0215 |
| No log | 8.2807 | 472 | 1.0398 | 0.5385 | 1.0398 | 1.0197 |
| No log | 8.3158 | 474 | 1.0219 | 0.5469 | 1.0219 | 1.0109 |
| No log | 8.3509 | 476 | 0.9998 | 0.5984 | 0.9998 | 0.9999 |
| No log | 8.3860 | 478 | 1.0663 | 0.5714 | 1.0663 | 1.0326 |
| No log | 8.4211 | 480 | 1.1816 | 0.5271 | 1.1816 | 1.0870 |
| No log | 8.4561 | 482 | 1.2273 | 0.5038 | 1.2273 | 1.1078 |
| No log | 8.4912 | 484 | 1.2360 | 0.5 | 1.2360 | 1.1117 |
| No log | 8.5263 | 486 | 1.2165 | 0.5 | 1.2165 | 1.1029 |
| No log | 8.5614 | 488 | 1.3053 | 0.5075 | 1.3053 | 1.1425 |
| No log | 8.5965 | 490 | 1.3816 | 0.4672 | 1.3816 | 1.1754 |
| No log | 8.6316 | 492 | 1.3927 | 0.4493 | 1.3927 | 1.1801 |
| No log | 8.6667 | 494 | 1.2062 | 0.5455 | 1.2062 | 1.0983 |
| No log | 8.7018 | 496 | 1.0947 | 0.5271 | 1.0947 | 1.0463 |
| No log | 8.7368 | 498 | 1.0399 | 0.5271 | 1.0399 | 1.0198 |
| 0.3683 | 8.7719 | 500 | 1.0863 | 0.5496 | 1.0863 | 1.0423 |
| 0.3683 | 8.8070 | 502 | 1.2379 | 0.5224 | 1.2379 | 1.1126 |
| 0.3683 | 8.8421 | 504 | 1.3092 | 0.5224 | 1.3092 | 1.1442 |
| 0.3683 | 8.8772 | 506 | 1.3085 | 0.5224 | 1.3085 | 1.1439 |
| 0.3683 | 8.9123 | 508 | 1.2956 | 0.5263 | 1.2956 | 1.1383 |
| 0.3683 | 8.9474 | 510 | 1.3189 | 0.5191 | 1.3189 | 1.1485 |
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/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k13_task1_organization
Base model
aubmindlab/bert-base-arabertv02