Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task2_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_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: 1.2468
- Qwk: 0.1700
- Mse: 1.2468
- Rmse: 1.1166
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 | 0.0198 | 2 | 4.6665 | -0.0132 | 4.6665 | 2.1602 |
| No log | 0.0396 | 4 | 2.5909 | -0.0076 | 2.5909 | 1.6096 |
| No log | 0.0594 | 6 | 2.0074 | -0.0164 | 2.0074 | 1.4168 |
| No log | 0.0792 | 8 | 1.6367 | 0.0283 | 1.6367 | 1.2794 |
| No log | 0.0990 | 10 | 1.4544 | -0.0997 | 1.4544 | 1.2060 |
| No log | 0.1188 | 12 | 1.2228 | 0.1308 | 1.2228 | 1.1058 |
| No log | 0.1386 | 14 | 1.2246 | 0.1732 | 1.2246 | 1.1066 |
| No log | 0.1584 | 16 | 1.3740 | 0.0714 | 1.3740 | 1.1722 |
| No log | 0.1782 | 18 | 1.5386 | 0.0124 | 1.5386 | 1.2404 |
| No log | 0.1980 | 20 | 1.5160 | 0.0297 | 1.5160 | 1.2313 |
| No log | 0.2178 | 22 | 1.3743 | 0.1413 | 1.3743 | 1.1723 |
| No log | 0.2376 | 24 | 1.3880 | 0.1753 | 1.3880 | 1.1781 |
| No log | 0.2574 | 26 | 1.5956 | 0.1076 | 1.5956 | 1.2632 |
| No log | 0.2772 | 28 | 1.8057 | 0.0789 | 1.8057 | 1.3438 |
| No log | 0.2970 | 30 | 1.8735 | 0.0789 | 1.8735 | 1.3687 |
| No log | 0.3168 | 32 | 1.7222 | 0.0310 | 1.7222 | 1.3123 |
| No log | 0.3366 | 34 | 1.4512 | 0.0838 | 1.4512 | 1.2047 |
| No log | 0.3564 | 36 | 1.3646 | 0.1753 | 1.3646 | 1.1682 |
| No log | 0.3762 | 38 | 1.4893 | 0.1472 | 1.4893 | 1.2204 |
| No log | 0.3960 | 40 | 1.7413 | 0.1054 | 1.7413 | 1.3196 |
| No log | 0.4158 | 42 | 2.0946 | 0.0875 | 2.0946 | 1.4473 |
| No log | 0.4356 | 44 | 2.4132 | 0.0 | 2.4132 | 1.5534 |
| No log | 0.4554 | 46 | 1.9925 | 0.0603 | 1.9925 | 1.4116 |
| No log | 0.4752 | 48 | 1.4462 | 0.1530 | 1.4462 | 1.2026 |
| No log | 0.4950 | 50 | 1.1785 | 0.1505 | 1.1785 | 1.0856 |
| No log | 0.5149 | 52 | 1.1482 | 0.1202 | 1.1482 | 1.0715 |
| No log | 0.5347 | 54 | 1.1472 | 0.1791 | 1.1472 | 1.0711 |
| No log | 0.5545 | 56 | 1.1560 | 0.1696 | 1.1560 | 1.0752 |
| No log | 0.5743 | 58 | 1.2499 | 0.1679 | 1.2499 | 1.1180 |
| No log | 0.5941 | 60 | 1.4893 | 0.0575 | 1.4893 | 1.2204 |
| No log | 0.6139 | 62 | 1.8643 | 0.0619 | 1.8643 | 1.3654 |
| No log | 0.6337 | 64 | 2.3413 | 0.0634 | 2.3413 | 1.5301 |
| No log | 0.6535 | 66 | 2.1521 | 0.0465 | 2.1521 | 1.4670 |
| No log | 0.6733 | 68 | 1.6884 | 0.0526 | 1.6884 | 1.2994 |
| No log | 0.6931 | 70 | 1.4974 | 0.0575 | 1.4974 | 1.2237 |
| No log | 0.7129 | 72 | 1.2919 | 0.1165 | 1.2919 | 1.1366 |
| No log | 0.7327 | 74 | 1.1437 | 0.2191 | 1.1437 | 1.0695 |
| No log | 0.7525 | 76 | 1.0752 | 0.3557 | 1.0752 | 1.0369 |
| No log | 0.7723 | 78 | 1.0668 | 0.3210 | 1.0668 | 1.0328 |
| No log | 0.7921 | 80 | 1.0788 | 0.3062 | 1.0788 | 1.0386 |
| No log | 0.8119 | 82 | 1.2974 | 0.1530 | 1.2974 | 1.1390 |
| No log | 0.8317 | 84 | 1.8575 | 0.2190 | 1.8575 | 1.3629 |
| No log | 0.8515 | 86 | 2.1138 | 0.1723 | 2.1138 | 1.4539 |
| No log | 0.8713 | 88 | 1.8986 | 0.1831 | 1.8986 | 1.3779 |
| No log | 0.8911 | 90 | 1.8272 | 0.1831 | 1.8272 | 1.3517 |
| No log | 0.9109 | 92 | 1.4930 | 0.1827 | 1.4930 | 1.2219 |
| No log | 0.9307 | 94 | 1.2890 | 0.1427 | 1.2890 | 1.1354 |
| No log | 0.9505 | 96 | 1.2005 | 0.1912 | 1.2005 | 1.0957 |
| No log | 0.9703 | 98 | 1.0065 | 0.4299 | 1.0065 | 1.0032 |
| No log | 0.9901 | 100 | 0.9550 | 0.4324 | 0.9550 | 0.9772 |
| No log | 1.0099 | 102 | 0.9478 | 0.4036 | 0.9478 | 0.9736 |
| No log | 1.0297 | 104 | 0.9563 | 0.4282 | 0.9563 | 0.9779 |
| No log | 1.0495 | 106 | 0.9579 | 0.4461 | 0.9579 | 0.9787 |
| No log | 1.0693 | 108 | 1.0140 | 0.3571 | 1.0140 | 1.0070 |
| No log | 1.0891 | 110 | 1.0160 | 0.3427 | 1.0160 | 1.0080 |
| No log | 1.1089 | 112 | 1.0304 | 0.3427 | 1.0304 | 1.0151 |
| No log | 1.1287 | 114 | 1.0669 | 0.3433 | 1.0669 | 1.0329 |
| No log | 1.1485 | 116 | 0.9850 | 0.3527 | 0.9850 | 0.9925 |
| No log | 1.1683 | 118 | 0.9740 | 0.3627 | 0.9740 | 0.9869 |
| No log | 1.1881 | 120 | 0.9772 | 0.3685 | 0.9772 | 0.9885 |
| No log | 1.2079 | 122 | 1.0131 | 0.3256 | 1.0131 | 1.0065 |
| No log | 1.2277 | 124 | 1.1458 | 0.3009 | 1.1458 | 1.0704 |
| No log | 1.2475 | 126 | 1.3628 | 0.3004 | 1.3628 | 1.1674 |
| No log | 1.2673 | 128 | 1.2958 | 0.2782 | 1.2958 | 1.1383 |
| No log | 1.2871 | 130 | 1.2003 | 0.2806 | 1.2003 | 1.0956 |
| No log | 1.3069 | 132 | 1.3412 | 0.2275 | 1.3412 | 1.1581 |
| No log | 1.3267 | 134 | 1.2876 | 0.1964 | 1.2876 | 1.1347 |
| No log | 1.3465 | 136 | 1.1191 | 0.2579 | 1.1191 | 1.0579 |
| No log | 1.3663 | 138 | 1.1214 | 0.3019 | 1.1214 | 1.0590 |
| No log | 1.3861 | 140 | 1.1601 | 0.2676 | 1.1601 | 1.0771 |
| No log | 1.4059 | 142 | 1.3455 | 0.1543 | 1.3455 | 1.1600 |
| No log | 1.4257 | 144 | 1.4763 | 0.1802 | 1.4763 | 1.2150 |
| No log | 1.4455 | 146 | 1.3397 | 0.1347 | 1.3397 | 1.1574 |
| No log | 1.4653 | 148 | 1.3685 | 0.1510 | 1.3685 | 1.1698 |
| No log | 1.4851 | 150 | 1.3308 | 0.1490 | 1.3308 | 1.1536 |
| No log | 1.5050 | 152 | 1.2240 | 0.2302 | 1.2240 | 1.1064 |
| No log | 1.5248 | 154 | 1.1918 | 0.2431 | 1.1918 | 1.0917 |
| No log | 1.5446 | 156 | 1.1451 | 0.3684 | 1.1451 | 1.0701 |
| No log | 1.5644 | 158 | 1.1946 | 0.2514 | 1.1946 | 1.0930 |
| No log | 1.5842 | 160 | 1.1988 | 0.2550 | 1.1988 | 1.0949 |
| No log | 1.6040 | 162 | 1.3058 | 0.2250 | 1.3058 | 1.1427 |
| No log | 1.6238 | 164 | 1.2771 | 0.2250 | 1.2771 | 1.1301 |
| No log | 1.6436 | 166 | 1.1164 | 0.3345 | 1.1164 | 1.0566 |
| No log | 1.6634 | 168 | 1.1170 | 0.2989 | 1.1170 | 1.0569 |
| No log | 1.6832 | 170 | 1.2326 | 0.2611 | 1.2326 | 1.1102 |
| No log | 1.7030 | 172 | 1.1816 | 0.2545 | 1.1816 | 1.0870 |
| No log | 1.7228 | 174 | 1.1007 | 0.3126 | 1.1007 | 1.0491 |
| No log | 1.7426 | 176 | 1.0300 | 0.3948 | 1.0300 | 1.0149 |
| No log | 1.7624 | 178 | 1.0302 | 0.3695 | 1.0302 | 1.0150 |
| No log | 1.7822 | 180 | 1.0679 | 0.3354 | 1.0679 | 1.0334 |
| No log | 1.8020 | 182 | 1.2087 | 0.2839 | 1.2087 | 1.0994 |
| No log | 1.8218 | 184 | 1.1471 | 0.2247 | 1.1471 | 1.0710 |
| No log | 1.8416 | 186 | 1.0828 | 0.2995 | 1.0828 | 1.0406 |
| No log | 1.8614 | 188 | 1.2103 | 0.3000 | 1.2103 | 1.1002 |
| No log | 1.8812 | 190 | 1.2011 | 0.2766 | 1.2011 | 1.0959 |
| No log | 1.9010 | 192 | 1.1064 | 0.3779 | 1.1064 | 1.0519 |
| No log | 1.9208 | 194 | 1.3430 | 0.2055 | 1.3430 | 1.1589 |
| No log | 1.9406 | 196 | 1.6747 | 0.1970 | 1.6747 | 1.2941 |
| No log | 1.9604 | 198 | 1.5986 | 0.2402 | 1.5986 | 1.2644 |
| No log | 1.9802 | 200 | 1.2811 | 0.2014 | 1.2811 | 1.1319 |
| No log | 2.0 | 202 | 1.0746 | 0.3399 | 1.0746 | 1.0366 |
| No log | 2.0198 | 204 | 1.0341 | 0.3042 | 1.0341 | 1.0169 |
| No log | 2.0396 | 206 | 1.0483 | 0.3216 | 1.0483 | 1.0239 |
| No log | 2.0594 | 208 | 1.1066 | 0.2748 | 1.1066 | 1.0520 |
| No log | 2.0792 | 210 | 1.1494 | 0.2229 | 1.1494 | 1.0721 |
| No log | 2.0990 | 212 | 1.1492 | 0.2268 | 1.1492 | 1.0720 |
| No log | 2.1188 | 214 | 1.1621 | 0.2438 | 1.1621 | 1.0780 |
| No log | 2.1386 | 216 | 1.2922 | 0.2172 | 1.2922 | 1.1367 |
| No log | 2.1584 | 218 | 1.2872 | 0.2136 | 1.2872 | 1.1345 |
| No log | 2.1782 | 220 | 1.1182 | 0.2742 | 1.1182 | 1.0575 |
| No log | 2.1980 | 222 | 1.0905 | 0.3286 | 1.0905 | 1.0442 |
| No log | 2.2178 | 224 | 1.1309 | 0.2742 | 1.1309 | 1.0634 |
| No log | 2.2376 | 226 | 1.0952 | 0.2967 | 1.0952 | 1.0465 |
| No log | 2.2574 | 228 | 1.0741 | 0.3200 | 1.0741 | 1.0364 |
| No log | 2.2772 | 230 | 1.0911 | 0.3741 | 1.0911 | 1.0446 |
| No log | 2.2970 | 232 | 1.0854 | 0.3205 | 1.0854 | 1.0418 |
| No log | 2.3168 | 234 | 1.1468 | 0.3074 | 1.1468 | 1.0709 |
| No log | 2.3366 | 236 | 1.1689 | 0.3117 | 1.1689 | 1.0812 |
| No log | 2.3564 | 238 | 1.1260 | 0.2806 | 1.1260 | 1.0611 |
| No log | 2.3762 | 240 | 1.0830 | 0.2747 | 1.0830 | 1.0407 |
| No log | 2.3960 | 242 | 1.0550 | 0.2898 | 1.0550 | 1.0271 |
| No log | 2.4158 | 244 | 1.0626 | 0.2318 | 1.0626 | 1.0308 |
| No log | 2.4356 | 246 | 1.1106 | 0.2417 | 1.1106 | 1.0539 |
| No log | 2.4554 | 248 | 1.1639 | 0.2486 | 1.1639 | 1.0788 |
| No log | 2.4752 | 250 | 1.1516 | 0.2805 | 1.1516 | 1.0731 |
| No log | 2.4950 | 252 | 1.0617 | 0.3237 | 1.0617 | 1.0304 |
| No log | 2.5149 | 254 | 1.0768 | 0.3950 | 1.0768 | 1.0377 |
| No log | 2.5347 | 256 | 1.0605 | 0.4040 | 1.0605 | 1.0298 |
| No log | 2.5545 | 258 | 1.0032 | 0.3601 | 1.0032 | 1.0016 |
| No log | 2.5743 | 260 | 1.0039 | 0.3369 | 1.0039 | 1.0020 |
| No log | 2.5941 | 262 | 1.0143 | 0.2822 | 1.0143 | 1.0071 |
| No log | 2.6139 | 264 | 1.0387 | 0.2772 | 1.0387 | 1.0192 |
| No log | 2.6337 | 266 | 1.0325 | 0.2772 | 1.0325 | 1.0161 |
| No log | 2.6535 | 268 | 1.0071 | 0.3511 | 1.0071 | 1.0035 |
| No log | 2.6733 | 270 | 1.0593 | 0.3648 | 1.0593 | 1.0292 |
| No log | 2.6931 | 272 | 1.0774 | 0.3973 | 1.0774 | 1.0380 |
| No log | 2.7129 | 274 | 1.0917 | 0.3780 | 1.0917 | 1.0449 |
| No log | 2.7327 | 276 | 1.1349 | 0.3327 | 1.1349 | 1.0653 |
| No log | 2.7525 | 278 | 1.2302 | 0.2654 | 1.2302 | 1.1092 |
| No log | 2.7723 | 280 | 1.3981 | 0.1929 | 1.3981 | 1.1824 |
| No log | 2.7921 | 282 | 1.7419 | 0.2143 | 1.7419 | 1.3198 |
| No log | 2.8119 | 284 | 1.6381 | 0.2101 | 1.6381 | 1.2799 |
| No log | 2.8317 | 286 | 1.3233 | 0.3088 | 1.3233 | 1.1504 |
| No log | 2.8515 | 288 | 1.2375 | 0.2893 | 1.2375 | 1.1124 |
| No log | 2.8713 | 290 | 1.2485 | 0.2977 | 1.2485 | 1.1174 |
| No log | 2.8911 | 292 | 1.2163 | 0.3214 | 1.2163 | 1.1028 |
| No log | 2.9109 | 294 | 1.2225 | 0.2927 | 1.2225 | 1.1057 |
| No log | 2.9307 | 296 | 1.2907 | 0.1629 | 1.2907 | 1.1361 |
| No log | 2.9505 | 298 | 1.2818 | 0.1146 | 1.2818 | 1.1322 |
| No log | 2.9703 | 300 | 1.1973 | 0.1805 | 1.1973 | 1.0942 |
| No log | 2.9901 | 302 | 1.1552 | 0.2440 | 1.1552 | 1.0748 |
| No log | 3.0099 | 304 | 1.1824 | 0.2121 | 1.1824 | 1.0874 |
| No log | 3.0297 | 306 | 1.1767 | 0.2121 | 1.1767 | 1.0848 |
| No log | 3.0495 | 308 | 1.1220 | 0.2673 | 1.1220 | 1.0592 |
| No log | 3.0693 | 310 | 1.1252 | 0.2230 | 1.1252 | 1.0607 |
| No log | 3.0891 | 312 | 1.1330 | 0.2658 | 1.1330 | 1.0644 |
| No log | 3.1089 | 314 | 1.1448 | 0.2658 | 1.1448 | 1.0700 |
| No log | 3.1287 | 316 | 1.1453 | 0.3019 | 1.1453 | 1.0702 |
| No log | 3.1485 | 318 | 1.1243 | 0.3019 | 1.1243 | 1.0603 |
| No log | 3.1683 | 320 | 1.1034 | 0.2512 | 1.1034 | 1.0504 |
| No log | 3.1881 | 322 | 1.0989 | 0.2871 | 1.0989 | 1.0483 |
| No log | 3.2079 | 324 | 1.1206 | 0.2480 | 1.1206 | 1.0586 |
| No log | 3.2277 | 326 | 1.1296 | 0.2480 | 1.1296 | 1.0628 |
| No log | 3.2475 | 328 | 1.0901 | 0.2679 | 1.0901 | 1.0441 |
| No log | 3.2673 | 330 | 1.0844 | 0.2567 | 1.0844 | 1.0413 |
| No log | 3.2871 | 332 | 1.1003 | 0.2327 | 1.1003 | 1.0489 |
| No log | 3.3069 | 334 | 1.1815 | 0.2159 | 1.1815 | 1.0870 |
| No log | 3.3267 | 336 | 1.3645 | 0.2840 | 1.3645 | 1.1681 |
| No log | 3.3465 | 338 | 1.5211 | 0.2618 | 1.5211 | 1.2333 |
| No log | 3.3663 | 340 | 1.3821 | 0.3103 | 1.3821 | 1.1756 |
| No log | 3.3861 | 342 | 1.1755 | 0.2311 | 1.1755 | 1.0842 |
| No log | 3.4059 | 344 | 1.0891 | 0.2823 | 1.0891 | 1.0436 |
| No log | 3.4257 | 346 | 1.0652 | 0.3256 | 1.0652 | 1.0321 |
| No log | 3.4455 | 348 | 1.0794 | 0.3249 | 1.0794 | 1.0389 |
| No log | 3.4653 | 350 | 1.0825 | 0.3716 | 1.0825 | 1.0404 |
| No log | 3.4851 | 352 | 1.0439 | 0.4002 | 1.0439 | 1.0217 |
| No log | 3.5050 | 354 | 1.0484 | 0.3283 | 1.0484 | 1.0239 |
| No log | 3.5248 | 356 | 1.1041 | 0.3321 | 1.1041 | 1.0508 |
| No log | 3.5446 | 358 | 1.1163 | 0.3321 | 1.1163 | 1.0565 |
| No log | 3.5644 | 360 | 1.0577 | 0.3406 | 1.0577 | 1.0284 |
| No log | 3.5842 | 362 | 1.0489 | 0.3537 | 1.0489 | 1.0241 |
| No log | 3.6040 | 364 | 1.0584 | 0.4202 | 1.0584 | 1.0288 |
| No log | 3.6238 | 366 | 1.0660 | 0.4107 | 1.0660 | 1.0325 |
| No log | 3.6436 | 368 | 1.0982 | 0.2466 | 1.0982 | 1.0479 |
| No log | 3.6634 | 370 | 1.1410 | 0.2480 | 1.1410 | 1.0682 |
| No log | 3.6832 | 372 | 1.2308 | 0.1950 | 1.2308 | 1.1094 |
| No log | 3.7030 | 374 | 1.1763 | 0.1797 | 1.1763 | 1.0846 |
| No log | 3.7228 | 376 | 1.1210 | 0.2596 | 1.1210 | 1.0588 |
| No log | 3.7426 | 378 | 1.1191 | 0.2388 | 1.1191 | 1.0579 |
| No log | 3.7624 | 380 | 1.1440 | 0.2489 | 1.1440 | 1.0696 |
| No log | 3.7822 | 382 | 1.2341 | 0.1648 | 1.2341 | 1.1109 |
| No log | 3.8020 | 384 | 1.2298 | 0.1648 | 1.2298 | 1.1090 |
| No log | 3.8218 | 386 | 1.1109 | 0.2647 | 1.1109 | 1.0540 |
| No log | 3.8416 | 388 | 1.0920 | 0.2539 | 1.0920 | 1.0450 |
| No log | 3.8614 | 390 | 1.1058 | 0.2625 | 1.1058 | 1.0516 |
| No log | 3.8812 | 392 | 1.1533 | 0.2650 | 1.1533 | 1.0739 |
| No log | 3.9010 | 394 | 1.1852 | 0.1994 | 1.1852 | 1.0887 |
| No log | 3.9208 | 396 | 1.2664 | 0.2839 | 1.2664 | 1.1253 |
| No log | 3.9406 | 398 | 1.2677 | 0.2701 | 1.2677 | 1.1259 |
| No log | 3.9604 | 400 | 1.2197 | 0.2714 | 1.2197 | 1.1044 |
| No log | 3.9802 | 402 | 1.1280 | 0.3297 | 1.1280 | 1.0621 |
| No log | 4.0 | 404 | 1.1165 | 0.2814 | 1.1165 | 1.0566 |
| No log | 4.0198 | 406 | 1.1105 | 0.2814 | 1.1105 | 1.0538 |
| No log | 4.0396 | 408 | 1.1250 | 0.2832 | 1.1250 | 1.0607 |
| No log | 4.0594 | 410 | 1.2096 | 0.3047 | 1.2096 | 1.0998 |
| No log | 4.0792 | 412 | 1.2154 | 0.3047 | 1.2154 | 1.1024 |
| No log | 4.0990 | 414 | 1.1360 | 0.2657 | 1.1360 | 1.0658 |
| No log | 4.1188 | 416 | 1.0607 | 0.3089 | 1.0607 | 1.0299 |
| No log | 4.1386 | 418 | 1.1028 | 0.3343 | 1.1028 | 1.0501 |
| No log | 4.1584 | 420 | 1.1047 | 0.3656 | 1.1047 | 1.0510 |
| No log | 4.1782 | 422 | 1.0502 | 0.2822 | 1.0502 | 1.0248 |
| No log | 4.1980 | 424 | 1.0807 | 0.2403 | 1.0807 | 1.0396 |
| No log | 4.2178 | 426 | 1.3142 | 0.2733 | 1.3142 | 1.1464 |
| No log | 4.2376 | 428 | 1.4209 | 0.25 | 1.4209 | 1.1920 |
| No log | 4.2574 | 430 | 1.2900 | 0.2733 | 1.2900 | 1.1358 |
| No log | 4.2772 | 432 | 1.1968 | 0.2347 | 1.1968 | 1.0940 |
| No log | 4.2970 | 434 | 1.0841 | 0.3189 | 1.0841 | 1.0412 |
| No log | 4.3168 | 436 | 1.0338 | 0.3578 | 1.0338 | 1.0168 |
| No log | 4.3366 | 438 | 1.0437 | 0.3868 | 1.0437 | 1.0216 |
| No log | 4.3564 | 440 | 1.0483 | 0.4202 | 1.0483 | 1.0239 |
| No log | 4.3762 | 442 | 1.0357 | 0.4377 | 1.0357 | 1.0177 |
| No log | 4.3960 | 444 | 1.0331 | 0.3804 | 1.0331 | 1.0164 |
| No log | 4.4158 | 446 | 1.0455 | 0.3468 | 1.0455 | 1.0225 |
| No log | 4.4356 | 448 | 1.0506 | 0.3250 | 1.0506 | 1.0250 |
| No log | 4.4554 | 450 | 1.0572 | 0.2775 | 1.0573 | 1.0282 |
| No log | 4.4752 | 452 | 1.1113 | 0.2685 | 1.1113 | 1.0542 |
| No log | 4.4950 | 454 | 1.1297 | 0.2870 | 1.1297 | 1.0629 |
| No log | 4.5149 | 456 | 1.1486 | 0.3165 | 1.1486 | 1.0717 |
| No log | 4.5347 | 458 | 1.1432 | 0.3165 | 1.1432 | 1.0692 |
| No log | 4.5545 | 460 | 1.0915 | 0.2732 | 1.0915 | 1.0448 |
| No log | 4.5743 | 462 | 1.0815 | 0.3213 | 1.0815 | 1.0399 |
| No log | 4.5941 | 464 | 1.0809 | 0.3169 | 1.0809 | 1.0397 |
| No log | 4.6139 | 466 | 1.0323 | 0.3210 | 1.0323 | 1.0160 |
| No log | 4.6337 | 468 | 1.0824 | 0.2506 | 1.0824 | 1.0404 |
| No log | 4.6535 | 470 | 1.1516 | 0.2506 | 1.1516 | 1.0731 |
| No log | 4.6733 | 472 | 1.1415 | 0.1662 | 1.1415 | 1.0684 |
| No log | 4.6931 | 474 | 1.0837 | 0.2743 | 1.0837 | 1.0410 |
| No log | 4.7129 | 476 | 1.1223 | 0.2964 | 1.1223 | 1.0594 |
| No log | 4.7327 | 478 | 1.2865 | 0.3004 | 1.2865 | 1.1342 |
| No log | 4.7525 | 480 | 1.2804 | 0.3064 | 1.2804 | 1.1315 |
| No log | 4.7723 | 482 | 1.1985 | 0.3115 | 1.1985 | 1.0948 |
| No log | 4.7921 | 484 | 1.1835 | 0.2624 | 1.1835 | 1.0879 |
| No log | 4.8119 | 486 | 1.2334 | 0.2702 | 1.2334 | 1.1106 |
| No log | 4.8317 | 488 | 1.2356 | 0.2702 | 1.2356 | 1.1116 |
| No log | 4.8515 | 490 | 1.2285 | 0.2053 | 1.2285 | 1.1084 |
| No log | 4.8713 | 492 | 1.1750 | 0.2609 | 1.1750 | 1.0840 |
| No log | 4.8911 | 494 | 1.1960 | 0.2283 | 1.1960 | 1.0936 |
| No log | 4.9109 | 496 | 1.2050 | 0.1636 | 1.2050 | 1.0977 |
| No log | 4.9307 | 498 | 1.1690 | 0.2748 | 1.1690 | 1.0812 |
| 0.3627 | 4.9505 | 500 | 1.1571 | 0.2824 | 1.1571 | 1.0757 |
| 0.3627 | 4.9703 | 502 | 1.1484 | 0.2664 | 1.1484 | 1.0716 |
| 0.3627 | 4.9901 | 504 | 1.1697 | 0.2667 | 1.1697 | 1.0815 |
| 0.3627 | 5.0099 | 506 | 1.1626 | 0.3056 | 1.1626 | 1.0782 |
| 0.3627 | 5.0297 | 508 | 1.1850 | 0.2896 | 1.1850 | 1.0886 |
| 0.3627 | 5.0495 | 510 | 1.1604 | 0.2299 | 1.1604 | 1.0772 |
| 0.3627 | 5.0693 | 512 | 1.1173 | 0.2664 | 1.1173 | 1.0570 |
| 0.3627 | 5.0891 | 514 | 1.1148 | 0.2395 | 1.1148 | 1.0558 |
| 0.3627 | 5.1089 | 516 | 1.1500 | 0.2169 | 1.1500 | 1.0724 |
| 0.3627 | 5.1287 | 518 | 1.2468 | 0.1700 | 1.2468 | 1.1166 |
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_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task2_organization
Base model
aubmindlab/bert-base-arabertv02