Instructions to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k18_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k18_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k18_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k18_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k18_task2_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k18_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: 1.5899
- Qwk: -0.0132
- Mse: 1.5899
- Rmse: 1.2609
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 | 0.0215 | 2 | 4.7667 | 0.0010 | 4.7667 | 2.1833 |
| No log | 0.0430 | 4 | 2.6952 | -0.0135 | 2.6952 | 1.6417 |
| No log | 0.0645 | 6 | 1.9198 | -0.0575 | 1.9198 | 1.3856 |
| No log | 0.0860 | 8 | 1.4856 | -0.0722 | 1.4856 | 1.2188 |
| No log | 0.1075 | 10 | 1.4717 | -0.0426 | 1.4717 | 1.2131 |
| No log | 0.1290 | 12 | 1.3609 | 0.0509 | 1.3609 | 1.1666 |
| No log | 0.1505 | 14 | 1.3364 | -0.0228 | 1.3364 | 1.1560 |
| No log | 0.1720 | 16 | 1.2632 | 0.2016 | 1.2632 | 1.1239 |
| No log | 0.1935 | 18 | 1.2896 | 0.1493 | 1.2896 | 1.1356 |
| No log | 0.2151 | 20 | 1.4982 | -0.0798 | 1.4982 | 1.2240 |
| No log | 0.2366 | 22 | 1.3869 | 0.0116 | 1.3869 | 1.1777 |
| No log | 0.2581 | 24 | 1.2881 | 0.0711 | 1.2881 | 1.1349 |
| No log | 0.2796 | 26 | 1.2881 | 0.0543 | 1.2881 | 1.1349 |
| No log | 0.3011 | 28 | 1.3005 | 0.0682 | 1.3005 | 1.1404 |
| No log | 0.3226 | 30 | 1.3243 | 0.0516 | 1.3243 | 1.1508 |
| No log | 0.3441 | 32 | 1.4012 | -0.0825 | 1.4012 | 1.1837 |
| No log | 0.3656 | 34 | 1.4852 | -0.0535 | 1.4852 | 1.2187 |
| No log | 0.3871 | 36 | 1.4837 | -0.0772 | 1.4837 | 1.2181 |
| No log | 0.4086 | 38 | 1.3974 | 0.0229 | 1.3974 | 1.1821 |
| No log | 0.4301 | 40 | 1.3933 | 0.0586 | 1.3933 | 1.1804 |
| No log | 0.4516 | 42 | 1.3982 | 0.0613 | 1.3982 | 1.1825 |
| No log | 0.4731 | 44 | 1.4019 | 0.0395 | 1.4019 | 1.1840 |
| No log | 0.4946 | 46 | 1.4116 | 0.0891 | 1.4116 | 1.1881 |
| No log | 0.5161 | 48 | 1.4386 | 0.0693 | 1.4386 | 1.1994 |
| No log | 0.5376 | 50 | 1.4940 | 0.0500 | 1.4940 | 1.2223 |
| No log | 0.5591 | 52 | 1.5730 | 0.1371 | 1.5730 | 1.2542 |
| No log | 0.5806 | 54 | 1.6067 | 0.1280 | 1.6068 | 1.2676 |
| No log | 0.6022 | 56 | 1.5127 | 0.0223 | 1.5127 | 1.2299 |
| No log | 0.6237 | 58 | 1.5603 | -0.0667 | 1.5603 | 1.2491 |
| No log | 0.6452 | 60 | 1.5406 | -0.0654 | 1.5406 | 1.2412 |
| No log | 0.6667 | 62 | 1.5242 | 0.0821 | 1.5242 | 1.2346 |
| No log | 0.6882 | 64 | 1.5712 | 0.0303 | 1.5712 | 1.2535 |
| No log | 0.7097 | 66 | 1.5192 | 0.0598 | 1.5192 | 1.2325 |
| No log | 0.7312 | 68 | 1.4336 | 0.1475 | 1.4336 | 1.1973 |
| No log | 0.7527 | 70 | 1.3980 | 0.2073 | 1.3980 | 1.1824 |
| No log | 0.7742 | 72 | 1.4228 | 0.1141 | 1.4228 | 1.1928 |
| No log | 0.7957 | 74 | 1.4706 | 0.1807 | 1.4706 | 1.2127 |
| No log | 0.8172 | 76 | 1.4140 | 0.0994 | 1.4140 | 1.1891 |
| No log | 0.8387 | 78 | 1.3984 | 0.1503 | 1.3984 | 1.1825 |
| No log | 0.8602 | 80 | 1.3845 | 0.2000 | 1.3845 | 1.1767 |
| No log | 0.8817 | 82 | 1.3507 | 0.2579 | 1.3507 | 1.1622 |
| No log | 0.9032 | 84 | 1.3770 | 0.2227 | 1.3770 | 1.1735 |
| No log | 0.9247 | 86 | 1.4093 | 0.2188 | 1.4093 | 1.1871 |
| No log | 0.9462 | 88 | 1.4805 | 0.1795 | 1.4805 | 1.2168 |
| No log | 0.9677 | 90 | 1.5692 | 0.1326 | 1.5692 | 1.2527 |
| No log | 0.9892 | 92 | 1.6348 | 0.1935 | 1.6348 | 1.2786 |
| No log | 1.0108 | 94 | 1.5970 | 0.1863 | 1.5970 | 1.2637 |
| No log | 1.0323 | 96 | 1.8090 | 0.2268 | 1.8090 | 1.3450 |
| No log | 1.0538 | 98 | 1.9526 | 0.1408 | 1.9526 | 1.3974 |
| No log | 1.0753 | 100 | 1.8347 | 0.1513 | 1.8347 | 1.3545 |
| No log | 1.0968 | 102 | 1.7497 | 0.1236 | 1.7497 | 1.3228 |
| No log | 1.1183 | 104 | 1.6957 | 0.1514 | 1.6957 | 1.3022 |
| No log | 1.1398 | 106 | 1.5969 | 0.1886 | 1.5969 | 1.2637 |
| No log | 1.1613 | 108 | 1.5717 | 0.1886 | 1.5717 | 1.2537 |
| No log | 1.1828 | 110 | 1.6553 | 0.1280 | 1.6553 | 1.2866 |
| No log | 1.2043 | 112 | 1.7472 | 0.0470 | 1.7472 | 1.3218 |
| No log | 1.2258 | 114 | 1.7258 | 0.0813 | 1.7258 | 1.3137 |
| No log | 1.2473 | 116 | 1.4318 | 0.0467 | 1.4318 | 1.1966 |
| No log | 1.2688 | 118 | 1.3424 | 0.0367 | 1.3424 | 1.1586 |
| No log | 1.2903 | 120 | 1.4174 | 0.0317 | 1.4174 | 1.1905 |
| No log | 1.3118 | 122 | 1.5229 | 0.0126 | 1.5229 | 1.2341 |
| No log | 1.3333 | 124 | 1.5454 | 0.0807 | 1.5454 | 1.2432 |
| No log | 1.3548 | 126 | 1.5079 | 0.1132 | 1.5079 | 1.2280 |
| No log | 1.3763 | 128 | 1.4610 | 0.1942 | 1.4610 | 1.2087 |
| No log | 1.3978 | 130 | 1.5402 | 0.1484 | 1.5402 | 1.2411 |
| No log | 1.4194 | 132 | 1.6653 | 0.2107 | 1.6653 | 1.2905 |
| No log | 1.4409 | 134 | 1.6233 | 0.1749 | 1.6233 | 1.2741 |
| No log | 1.4624 | 136 | 1.5047 | 0.2394 | 1.5047 | 1.2267 |
| No log | 1.4839 | 138 | 1.5292 | 0.1903 | 1.5292 | 1.2366 |
| No log | 1.5054 | 140 | 1.6534 | 0.1688 | 1.6534 | 1.2859 |
| No log | 1.5269 | 142 | 1.6402 | 0.1688 | 1.6402 | 1.2807 |
| No log | 1.5484 | 144 | 1.5633 | 0.2004 | 1.5633 | 1.2503 |
| No log | 1.5699 | 146 | 1.4596 | 0.2917 | 1.4596 | 1.2082 |
| No log | 1.5914 | 148 | 1.5246 | 0.1734 | 1.5246 | 1.2347 |
| No log | 1.6129 | 150 | 1.6157 | 0.1923 | 1.6157 | 1.2711 |
| No log | 1.6344 | 152 | 1.7747 | 0.2294 | 1.7747 | 1.3322 |
| No log | 1.6559 | 154 | 1.7954 | 0.2017 | 1.7954 | 1.3399 |
| No log | 1.6774 | 156 | 1.7266 | 0.1234 | 1.7266 | 1.3140 |
| No log | 1.6989 | 158 | 1.7625 | 0.1373 | 1.7625 | 1.3276 |
| No log | 1.7204 | 160 | 1.9385 | 0.1551 | 1.9385 | 1.3923 |
| No log | 1.7419 | 162 | 2.0288 | 0.1318 | 2.0288 | 1.4244 |
| No log | 1.7634 | 164 | 1.9256 | 0.1720 | 1.9256 | 1.3876 |
| No log | 1.7849 | 166 | 1.6410 | 0.1771 | 1.6410 | 1.2810 |
| No log | 1.8065 | 168 | 1.4363 | 0.1048 | 1.4363 | 1.1984 |
| No log | 1.8280 | 170 | 1.3909 | 0.0693 | 1.3909 | 1.1793 |
| No log | 1.8495 | 172 | 1.3931 | 0.1244 | 1.3931 | 1.1803 |
| No log | 1.8710 | 174 | 1.4452 | 0.0244 | 1.4452 | 1.2022 |
| No log | 1.8925 | 176 | 1.5771 | 0.1254 | 1.5771 | 1.2558 |
| No log | 1.9140 | 178 | 1.8331 | 0.1884 | 1.8331 | 1.3539 |
| No log | 1.9355 | 180 | 2.0664 | 0.1639 | 2.0664 | 1.4375 |
| No log | 1.9570 | 182 | 2.0488 | 0.1417 | 2.0488 | 1.4314 |
| No log | 1.9785 | 184 | 1.7867 | 0.1528 | 1.7867 | 1.3367 |
| No log | 2.0 | 186 | 1.7109 | 0.1853 | 1.7109 | 1.3080 |
| No log | 2.0215 | 188 | 1.8025 | 0.1391 | 1.8025 | 1.3426 |
| No log | 2.0430 | 190 | 1.9165 | 0.0950 | 1.9165 | 1.3844 |
| No log | 2.0645 | 192 | 1.7715 | 0.0663 | 1.7715 | 1.3310 |
| No log | 2.0860 | 194 | 1.5872 | 0.1226 | 1.5872 | 1.2598 |
| No log | 2.1075 | 196 | 1.4472 | 0.0803 | 1.4472 | 1.2030 |
| No log | 2.1290 | 198 | 1.4371 | 0.0437 | 1.4371 | 1.1988 |
| No log | 2.1505 | 200 | 1.4629 | 0.0217 | 1.4629 | 1.2095 |
| No log | 2.1720 | 202 | 1.5953 | 0.0478 | 1.5953 | 1.2631 |
| No log | 2.1935 | 204 | 1.6834 | 0.0947 | 1.6834 | 1.2974 |
| No log | 2.2151 | 206 | 1.8402 | 0.1513 | 1.8402 | 1.3565 |
| No log | 2.2366 | 208 | 1.9311 | 0.1463 | 1.9311 | 1.3897 |
| No log | 2.2581 | 210 | 1.8888 | 0.0741 | 1.8888 | 1.3743 |
| No log | 2.2796 | 212 | 1.6506 | 0.0711 | 1.6506 | 1.2847 |
| No log | 2.3011 | 214 | 1.6228 | 0.1331 | 1.6228 | 1.2739 |
| No log | 2.3226 | 216 | 1.5954 | 0.1657 | 1.5954 | 1.2631 |
| No log | 2.3441 | 218 | 1.5758 | 0.2021 | 1.5758 | 1.2553 |
| No log | 2.3656 | 220 | 1.8152 | 0.0979 | 1.8152 | 1.3473 |
| No log | 2.3871 | 222 | 2.0568 | 0.1282 | 2.0568 | 1.4342 |
| No log | 2.4086 | 224 | 1.8836 | 0.1500 | 1.8836 | 1.3725 |
| No log | 2.4301 | 226 | 1.6843 | 0.0902 | 1.6843 | 1.2978 |
| No log | 2.4516 | 228 | 1.7152 | 0.1259 | 1.7152 | 1.3097 |
| No log | 2.4731 | 230 | 1.7362 | 0.1409 | 1.7362 | 1.3176 |
| No log | 2.4946 | 232 | 1.5233 | 0.1152 | 1.5233 | 1.2342 |
| No log | 2.5161 | 234 | 1.4940 | 0.1199 | 1.4940 | 1.2223 |
| No log | 2.5376 | 236 | 1.6831 | 0.1092 | 1.6831 | 1.2973 |
| No log | 2.5591 | 238 | 1.8491 | 0.1368 | 1.8491 | 1.3598 |
| No log | 2.5806 | 240 | 1.7842 | 0.1328 | 1.7842 | 1.3357 |
| No log | 2.6022 | 242 | 1.6471 | 0.1007 | 1.6471 | 1.2834 |
| No log | 2.6237 | 244 | 1.5645 | 0.1364 | 1.5645 | 1.2508 |
| No log | 2.6452 | 246 | 1.5245 | 0.1364 | 1.5245 | 1.2347 |
| No log | 2.6667 | 248 | 1.4439 | 0.1067 | 1.4439 | 1.2016 |
| No log | 2.6882 | 250 | 1.5875 | 0.1101 | 1.5875 | 1.2599 |
| No log | 2.7097 | 252 | 1.7020 | 0.1543 | 1.7020 | 1.3046 |
| No log | 2.7312 | 254 | 1.8793 | 0.1751 | 1.8793 | 1.3709 |
| No log | 2.7527 | 256 | 2.0351 | 0.1453 | 2.0351 | 1.4266 |
| No log | 2.7742 | 258 | 1.8807 | 0.1219 | 1.8807 | 1.3714 |
| No log | 2.7957 | 260 | 1.7402 | 0.1281 | 1.7402 | 1.3192 |
| No log | 2.8172 | 262 | 1.8233 | 0.1385 | 1.8233 | 1.3503 |
| No log | 2.8387 | 264 | 2.1558 | 0.1052 | 2.1558 | 1.4682 |
| No log | 2.8602 | 266 | 2.1646 | 0.0918 | 2.1646 | 1.4712 |
| No log | 2.8817 | 268 | 1.8553 | 0.1325 | 1.8553 | 1.3621 |
| No log | 2.9032 | 270 | 1.4871 | 0.0513 | 1.4871 | 1.2195 |
| No log | 2.9247 | 272 | 1.3531 | 0.0951 | 1.3531 | 1.1632 |
| No log | 2.9462 | 274 | 1.3487 | 0.0983 | 1.3487 | 1.1613 |
| No log | 2.9677 | 276 | 1.4141 | 0.0334 | 1.4141 | 1.1892 |
| No log | 2.9892 | 278 | 1.5746 | 0.1659 | 1.5746 | 1.2548 |
| No log | 3.0108 | 280 | 1.5826 | 0.1935 | 1.5826 | 1.2580 |
| No log | 3.0323 | 282 | 1.5369 | 0.1135 | 1.5369 | 1.2397 |
| No log | 3.0538 | 284 | 1.5244 | 0.1708 | 1.5244 | 1.2347 |
| No log | 3.0753 | 286 | 1.6730 | 0.2079 | 1.6730 | 1.2934 |
| No log | 3.0968 | 288 | 1.9834 | 0.1785 | 1.9834 | 1.4083 |
| No log | 3.1183 | 290 | 2.0459 | 0.2163 | 2.0459 | 1.4303 |
| No log | 3.1398 | 292 | 1.8653 | 0.2017 | 1.8653 | 1.3658 |
| No log | 3.1613 | 294 | 1.5959 | 0.1687 | 1.5959 | 1.2633 |
| No log | 3.1828 | 296 | 1.5074 | 0.1468 | 1.5074 | 1.2278 |
| No log | 3.2043 | 298 | 1.5223 | 0.1468 | 1.5223 | 1.2338 |
| No log | 3.2258 | 300 | 1.4839 | 0.1851 | 1.4839 | 1.2182 |
| No log | 3.2473 | 302 | 1.5377 | 0.1468 | 1.5377 | 1.2400 |
| No log | 3.2688 | 304 | 1.6710 | 0.1040 | 1.6710 | 1.2927 |
| No log | 3.2903 | 306 | 1.7805 | 0.1884 | 1.7805 | 1.3344 |
| No log | 3.3118 | 308 | 1.7238 | 0.1586 | 1.7238 | 1.3129 |
| No log | 3.3333 | 310 | 1.6804 | 0.1183 | 1.6804 | 1.2963 |
| No log | 3.3548 | 312 | 1.7371 | 0.1627 | 1.7371 | 1.3180 |
| No log | 3.3763 | 314 | 1.7682 | 0.1627 | 1.7682 | 1.3297 |
| No log | 3.3978 | 316 | 1.9727 | 0.1814 | 1.9727 | 1.4045 |
| No log | 3.4194 | 318 | 1.9847 | 0.1847 | 1.9847 | 1.4088 |
| No log | 3.4409 | 320 | 1.7832 | 0.1848 | 1.7832 | 1.3354 |
| No log | 3.4624 | 322 | 1.6347 | 0.1575 | 1.6347 | 1.2786 |
| No log | 3.4839 | 324 | 1.6159 | 0.2092 | 1.6159 | 1.2712 |
| No log | 3.5054 | 326 | 1.6904 | 0.1886 | 1.6904 | 1.3002 |
| No log | 3.5269 | 328 | 1.6279 | 0.1639 | 1.6279 | 1.2759 |
| No log | 3.5484 | 330 | 1.4667 | 0.1516 | 1.4667 | 1.2111 |
| No log | 3.5699 | 332 | 1.3587 | 0.1071 | 1.3587 | 1.1656 |
| No log | 3.5914 | 334 | 1.3402 | 0.1071 | 1.3402 | 1.1577 |
| No log | 3.6129 | 336 | 1.3960 | 0.1071 | 1.3960 | 1.1815 |
| No log | 3.6344 | 338 | 1.6142 | 0.2206 | 1.6142 | 1.2705 |
| No log | 3.6559 | 340 | 1.7153 | 0.1882 | 1.7153 | 1.3097 |
| No log | 3.6774 | 342 | 1.6560 | 0.1692 | 1.6560 | 1.2869 |
| No log | 3.6989 | 344 | 1.5186 | 0.1448 | 1.5186 | 1.2323 |
| No log | 3.7204 | 346 | 1.4816 | 0.1364 | 1.4816 | 1.2172 |
| No log | 3.7419 | 348 | 1.5626 | 0.1549 | 1.5626 | 1.2501 |
| No log | 3.7634 | 350 | 1.7450 | 0.1806 | 1.7450 | 1.3210 |
| No log | 3.7849 | 352 | 1.7280 | 0.1806 | 1.7280 | 1.3146 |
| No log | 3.8065 | 354 | 1.6601 | 0.1806 | 1.6601 | 1.2885 |
| No log | 3.8280 | 356 | 1.6495 | 0.1207 | 1.6495 | 1.2843 |
| No log | 3.8495 | 358 | 1.6217 | 0.1407 | 1.6217 | 1.2735 |
| No log | 3.8710 | 360 | 1.7225 | 0.0937 | 1.7225 | 1.3124 |
| No log | 3.8925 | 362 | 1.9691 | 0.1946 | 1.9691 | 1.4033 |
| No log | 3.9140 | 364 | 2.0956 | 0.1282 | 2.0956 | 1.4476 |
| No log | 3.9355 | 366 | 2.0107 | 0.0504 | 2.0107 | 1.4180 |
| No log | 3.9570 | 368 | 1.7984 | 0.1144 | 1.7984 | 1.3411 |
| No log | 3.9785 | 370 | 1.5820 | 0.0818 | 1.5820 | 1.2578 |
| No log | 4.0 | 372 | 1.4182 | 0.0668 | 1.4182 | 1.1909 |
| No log | 4.0215 | 374 | 1.3958 | 0.0668 | 1.3958 | 1.1814 |
| No log | 4.0430 | 376 | 1.4626 | 0.1005 | 1.4626 | 1.2094 |
| No log | 4.0645 | 378 | 1.6278 | 0.2009 | 1.6278 | 1.2758 |
| No log | 4.0860 | 380 | 1.7460 | 0.1513 | 1.7460 | 1.3214 |
| No log | 4.1075 | 382 | 1.7200 | 0.1657 | 1.7200 | 1.3115 |
| No log | 4.1290 | 384 | 1.6393 | 0.1573 | 1.6393 | 1.2804 |
| No log | 4.1505 | 386 | 1.5894 | 0.2009 | 1.5894 | 1.2607 |
| No log | 4.1720 | 388 | 1.5725 | 0.2359 | 1.5725 | 1.2540 |
| No log | 4.1935 | 390 | 1.5675 | 0.2359 | 1.5675 | 1.2520 |
| No log | 4.2151 | 392 | 1.5012 | 0.1844 | 1.5012 | 1.2252 |
| No log | 4.2366 | 394 | 1.4192 | 0.1163 | 1.4192 | 1.1913 |
| No log | 4.2581 | 396 | 1.4176 | 0.1830 | 1.4176 | 1.1906 |
| No log | 4.2796 | 398 | 1.4906 | 0.2086 | 1.4906 | 1.2209 |
| No log | 4.3011 | 400 | 1.6223 | 0.1280 | 1.6223 | 1.2737 |
| No log | 4.3226 | 402 | 1.8199 | 0.1551 | 1.8199 | 1.3490 |
| No log | 4.3441 | 404 | 1.8368 | 0.1614 | 1.8368 | 1.3553 |
| No log | 4.3656 | 406 | 1.7600 | 0.2163 | 1.7600 | 1.3266 |
| No log | 4.3871 | 408 | 1.5978 | 0.2658 | 1.5978 | 1.2640 |
| No log | 4.4086 | 410 | 1.4044 | 0.1670 | 1.4044 | 1.1851 |
| No log | 4.4301 | 412 | 1.3704 | 0.1848 | 1.3704 | 1.1706 |
| No log | 4.4516 | 414 | 1.3958 | 0.1848 | 1.3958 | 1.1814 |
| No log | 4.4731 | 416 | 1.3599 | 0.1570 | 1.3599 | 1.1661 |
| No log | 4.4946 | 418 | 1.4275 | 0.1763 | 1.4275 | 1.1948 |
| No log | 4.5161 | 420 | 1.5667 | 0.2658 | 1.5667 | 1.2517 |
| No log | 4.5376 | 422 | 1.7235 | 0.2132 | 1.7235 | 1.3128 |
| No log | 4.5591 | 424 | 1.6801 | 0.2100 | 1.6801 | 1.2962 |
| No log | 4.5806 | 426 | 1.6066 | 0.2521 | 1.6066 | 1.2675 |
| No log | 4.6022 | 428 | 1.6890 | 0.2179 | 1.6890 | 1.2996 |
| No log | 4.6237 | 430 | 1.5553 | 0.2436 | 1.5553 | 1.2471 |
| No log | 4.6452 | 432 | 1.3701 | 0.1713 | 1.3701 | 1.1705 |
| No log | 4.6667 | 434 | 1.3696 | 0.1850 | 1.3696 | 1.1703 |
| No log | 4.6882 | 436 | 1.4417 | 0.1535 | 1.4417 | 1.2007 |
| No log | 4.7097 | 438 | 1.5528 | 0.2191 | 1.5528 | 1.2461 |
| No log | 4.7312 | 440 | 1.6106 | 0.2406 | 1.6106 | 1.2691 |
| No log | 4.7527 | 442 | 1.5425 | 0.2343 | 1.5425 | 1.2420 |
| No log | 4.7742 | 444 | 1.4085 | 0.1986 | 1.4085 | 1.1868 |
| No log | 4.7957 | 446 | 1.3925 | 0.1986 | 1.3925 | 1.1800 |
| No log | 4.8172 | 448 | 1.5434 | 0.1562 | 1.5434 | 1.2423 |
| No log | 4.8387 | 450 | 1.7249 | 0.2547 | 1.7249 | 1.3134 |
| No log | 4.8602 | 452 | 1.8922 | 0.1978 | 1.8922 | 1.3756 |
| No log | 4.8817 | 454 | 1.8676 | 0.1978 | 1.8676 | 1.3666 |
| No log | 4.9032 | 456 | 1.7437 | 0.2547 | 1.7437 | 1.3205 |
| No log | 4.9247 | 458 | 1.5007 | 0.1935 | 1.5007 | 1.2250 |
| No log | 4.9462 | 460 | 1.3726 | 0.2452 | 1.3726 | 1.1716 |
| No log | 4.9677 | 462 | 1.4084 | 0.1986 | 1.4084 | 1.1868 |
| No log | 4.9892 | 464 | 1.5724 | 0.2099 | 1.5724 | 1.2540 |
| No log | 5.0108 | 466 | 1.6986 | 0.1843 | 1.6986 | 1.3033 |
| No log | 5.0323 | 468 | 1.6644 | 0.1713 | 1.6644 | 1.2901 |
| No log | 5.0538 | 470 | 1.5383 | 0.1051 | 1.5383 | 1.2403 |
| No log | 5.0753 | 472 | 1.4101 | 0.1000 | 1.4101 | 1.1875 |
| No log | 5.0968 | 474 | 1.3714 | 0.1090 | 1.3714 | 1.1711 |
| No log | 5.1183 | 476 | 1.4220 | 0.1483 | 1.4220 | 1.1925 |
| No log | 5.1398 | 478 | 1.5616 | 0.1387 | 1.5616 | 1.2497 |
| No log | 5.1613 | 480 | 1.6447 | 0.1407 | 1.6447 | 1.2825 |
| No log | 5.1828 | 482 | 1.6691 | 0.2272 | 1.6691 | 1.2919 |
| No log | 5.2043 | 484 | 1.6535 | 0.1730 | 1.6535 | 1.2859 |
| No log | 5.2258 | 486 | 1.5654 | 0.1436 | 1.5654 | 1.2512 |
| No log | 5.2473 | 488 | 1.6565 | 0.1562 | 1.6565 | 1.2871 |
| No log | 5.2688 | 490 | 1.8148 | 0.2310 | 1.8148 | 1.3471 |
| No log | 5.2903 | 492 | 1.7311 | 0.2378 | 1.7311 | 1.3157 |
| No log | 5.3118 | 494 | 1.5703 | 0.1202 | 1.5703 | 1.2531 |
| No log | 5.3333 | 496 | 1.5023 | 0.1448 | 1.5023 | 1.2257 |
| No log | 5.3548 | 498 | 1.4352 | 0.1405 | 1.4352 | 1.1980 |
| 0.4043 | 5.3763 | 500 | 1.4765 | 0.1339 | 1.4765 | 1.2151 |
| 0.4043 | 5.3978 | 502 | 1.6419 | 0.1176 | 1.6419 | 1.2813 |
| 0.4043 | 5.4194 | 504 | 1.7419 | 0.1155 | 1.7419 | 1.3198 |
| 0.4043 | 5.4409 | 506 | 1.7009 | 0.0693 | 1.7009 | 1.3042 |
| 0.4043 | 5.4624 | 508 | 1.6295 | 0.0263 | 1.6295 | 1.2765 |
| 0.4043 | 5.4839 | 510 | 1.5899 | -0.0132 | 1.5899 | 1.2609 |
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_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k18_task2_organization
Base model
aubmindlab/bert-base-arabertv02