Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k5_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k5_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k5_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k5_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k5_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k5_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: 0.9058
- Qwk: 0.6533
- Mse: 0.9058
- Rmse: 0.9518
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 | 0.08 | 2 | 7.2065 | -0.0107 | 7.2065 | 2.6845 |
| No log | 0.16 | 4 | 4.3899 | 0.0750 | 4.3899 | 2.0952 |
| No log | 0.24 | 6 | 3.3815 | -0.0333 | 3.3815 | 1.8389 |
| No log | 0.32 | 8 | 3.8914 | -0.0591 | 3.8914 | 1.9727 |
| No log | 0.4 | 10 | 2.9041 | 0.0690 | 2.9041 | 1.7042 |
| No log | 0.48 | 12 | 2.5009 | 0.0288 | 2.5009 | 1.5814 |
| No log | 0.56 | 14 | 2.1516 | 0.0650 | 2.1516 | 1.4668 |
| No log | 0.64 | 16 | 1.8521 | 0.1524 | 1.8521 | 1.3609 |
| No log | 0.72 | 18 | 1.8463 | 0.1165 | 1.8463 | 1.3588 |
| No log | 0.8 | 20 | 1.8896 | 0.0784 | 1.8896 | 1.3746 |
| No log | 0.88 | 22 | 2.0011 | 0.0962 | 2.0011 | 1.4146 |
| No log | 0.96 | 24 | 2.0892 | 0.1481 | 2.0892 | 1.4454 |
| No log | 1.04 | 26 | 2.0258 | 0.2182 | 2.0258 | 1.4233 |
| No log | 1.12 | 28 | 1.8887 | 0.2018 | 1.8887 | 1.3743 |
| No log | 1.2 | 30 | 1.7794 | 0.1321 | 1.7794 | 1.3339 |
| No log | 1.28 | 32 | 1.8148 | 0.2037 | 1.8148 | 1.3471 |
| No log | 1.3600 | 34 | 1.8695 | 0.2222 | 1.8695 | 1.3673 |
| No log | 1.44 | 36 | 1.7654 | 0.0784 | 1.7654 | 1.3287 |
| No log | 1.52 | 38 | 1.7339 | 0.0784 | 1.7339 | 1.3168 |
| No log | 1.6 | 40 | 1.6444 | 0.0962 | 1.6444 | 1.2823 |
| No log | 1.6800 | 42 | 1.6920 | 0.2364 | 1.6920 | 1.3008 |
| No log | 1.76 | 44 | 1.7382 | 0.2667 | 1.7382 | 1.3184 |
| No log | 1.8400 | 46 | 2.1034 | 0.2406 | 2.1034 | 1.4503 |
| No log | 1.92 | 48 | 2.5822 | 0.0816 | 2.5822 | 1.6069 |
| No log | 2.0 | 50 | 2.1975 | 0.1571 | 2.1975 | 1.4824 |
| No log | 2.08 | 52 | 1.5850 | 0.1441 | 1.5850 | 1.2590 |
| No log | 2.16 | 54 | 1.4786 | 0.1538 | 1.4786 | 1.2160 |
| No log | 2.24 | 56 | 1.6676 | 0.1538 | 1.6676 | 1.2914 |
| No log | 2.32 | 58 | 1.7849 | 0.1538 | 1.7849 | 1.3360 |
| No log | 2.4 | 60 | 1.6961 | 0.1714 | 1.6961 | 1.3023 |
| No log | 2.48 | 62 | 1.5486 | 0.2385 | 1.5486 | 1.2444 |
| No log | 2.56 | 64 | 1.5478 | 0.2182 | 1.5478 | 1.2441 |
| No log | 2.64 | 66 | 1.4984 | 0.1509 | 1.4984 | 1.2241 |
| No log | 2.7200 | 68 | 1.4294 | 0.1165 | 1.4294 | 1.1956 |
| No log | 2.8 | 70 | 1.3543 | 0.2264 | 1.3543 | 1.1637 |
| No log | 2.88 | 72 | 1.3952 | 0.1887 | 1.3952 | 1.1812 |
| No log | 2.96 | 74 | 1.9198 | 0.1935 | 1.9198 | 1.3856 |
| No log | 3.04 | 76 | 2.6848 | -0.0576 | 2.6848 | 1.6385 |
| No log | 3.12 | 78 | 2.7482 | -0.0426 | 2.7482 | 1.6578 |
| No log | 3.2 | 80 | 1.9130 | 0.2154 | 1.9130 | 1.3831 |
| No log | 3.2800 | 82 | 1.2864 | 0.4390 | 1.2864 | 1.1342 |
| No log | 3.36 | 84 | 1.1578 | 0.4333 | 1.1578 | 1.0760 |
| No log | 3.44 | 86 | 1.1520 | 0.5760 | 1.1520 | 1.0733 |
| No log | 3.52 | 88 | 1.3254 | 0.4754 | 1.3254 | 1.1512 |
| No log | 3.6 | 90 | 1.3710 | 0.4640 | 1.3710 | 1.1709 |
| No log | 3.68 | 92 | 1.2911 | 0.5075 | 1.2911 | 1.1363 |
| No log | 3.76 | 94 | 1.3562 | 0.4167 | 1.3562 | 1.1646 |
| No log | 3.84 | 96 | 1.6018 | 0.3810 | 1.6018 | 1.2656 |
| No log | 3.92 | 98 | 1.5157 | 0.3770 | 1.5157 | 1.2311 |
| No log | 4.0 | 100 | 1.3283 | 0.3390 | 1.3283 | 1.1525 |
| No log | 4.08 | 102 | 1.2439 | 0.512 | 1.2439 | 1.1153 |
| No log | 4.16 | 104 | 1.2479 | 0.5255 | 1.2479 | 1.1171 |
| No log | 4.24 | 106 | 1.3204 | 0.4714 | 1.3204 | 1.1491 |
| No log | 4.32 | 108 | 1.2492 | 0.4964 | 1.2492 | 1.1177 |
| No log | 4.4 | 110 | 1.1072 | 0.5874 | 1.1072 | 1.0522 |
| No log | 4.48 | 112 | 1.0925 | 0.5674 | 1.0925 | 1.0452 |
| No log | 4.5600 | 114 | 1.1991 | 0.5 | 1.1991 | 1.0950 |
| No log | 4.64 | 116 | 1.2597 | 0.5191 | 1.2597 | 1.1224 |
| No log | 4.72 | 118 | 1.2373 | 0.5039 | 1.2373 | 1.1123 |
| No log | 4.8 | 120 | 1.1497 | 0.5692 | 1.1497 | 1.0723 |
| No log | 4.88 | 122 | 1.0215 | 0.6260 | 1.0215 | 1.0107 |
| No log | 4.96 | 124 | 1.0691 | 0.5512 | 1.0691 | 1.0340 |
| No log | 5.04 | 126 | 1.0956 | 0.5385 | 1.0956 | 1.0467 |
| No log | 5.12 | 128 | 1.2058 | 0.5263 | 1.2058 | 1.0981 |
| No log | 5.2 | 130 | 1.1350 | 0.5496 | 1.1350 | 1.0654 |
| No log | 5.28 | 132 | 1.0405 | 0.5496 | 1.0405 | 1.0200 |
| No log | 5.36 | 134 | 1.0300 | 0.5496 | 1.0300 | 1.0149 |
| No log | 5.44 | 136 | 0.9463 | 0.6377 | 0.9463 | 0.9728 |
| No log | 5.52 | 138 | 0.9599 | 0.6418 | 0.9599 | 0.9797 |
| No log | 5.6 | 140 | 1.0140 | 0.5538 | 1.0140 | 1.0070 |
| No log | 5.68 | 142 | 0.9408 | 0.6308 | 0.9408 | 0.9700 |
| No log | 5.76 | 144 | 0.9339 | 0.6015 | 0.9339 | 0.9664 |
| No log | 5.84 | 146 | 0.9676 | 0.5781 | 0.9676 | 0.9836 |
| No log | 5.92 | 148 | 1.0516 | 0.5827 | 1.0516 | 1.0255 |
| No log | 6.0 | 150 | 1.1124 | 0.5625 | 1.1124 | 1.0547 |
| No log | 6.08 | 152 | 0.9819 | 0.5938 | 0.9819 | 0.9909 |
| No log | 6.16 | 154 | 0.9668 | 0.6047 | 0.9668 | 0.9833 |
| No log | 6.24 | 156 | 1.1109 | 0.5191 | 1.1109 | 1.0540 |
| No log | 6.32 | 158 | 1.1977 | 0.4769 | 1.1977 | 1.0944 |
| No log | 6.4 | 160 | 1.0271 | 0.5649 | 1.0271 | 1.0135 |
| No log | 6.48 | 162 | 0.9888 | 0.6316 | 0.9888 | 0.9944 |
| No log | 6.5600 | 164 | 1.1125 | 0.5564 | 1.1125 | 1.0548 |
| No log | 6.64 | 166 | 1.1139 | 0.5581 | 1.1139 | 1.0554 |
| No log | 6.72 | 168 | 0.9513 | 0.6767 | 0.9513 | 0.9753 |
| No log | 6.8 | 170 | 0.9870 | 0.6061 | 0.9870 | 0.9935 |
| No log | 6.88 | 172 | 0.9941 | 0.5954 | 0.9941 | 0.9971 |
| No log | 6.96 | 174 | 0.9270 | 0.6619 | 0.9270 | 0.9628 |
| No log | 7.04 | 176 | 0.8655 | 0.7050 | 0.8655 | 0.9303 |
| No log | 7.12 | 178 | 0.9267 | 0.6519 | 0.9267 | 0.9627 |
| No log | 7.2 | 180 | 1.0204 | 0.6165 | 1.0204 | 1.0101 |
| No log | 7.28 | 182 | 1.1704 | 0.5414 | 1.1704 | 1.0818 |
| No log | 7.36 | 184 | 1.2059 | 0.5538 | 1.2059 | 1.0981 |
| No log | 7.44 | 186 | 1.1131 | 0.5846 | 1.1131 | 1.0550 |
| No log | 7.52 | 188 | 1.0590 | 0.5556 | 1.0590 | 1.0291 |
| No log | 7.6 | 190 | 1.0154 | 0.6119 | 1.0154 | 1.0077 |
| No log | 7.68 | 192 | 1.0704 | 0.5821 | 1.0704 | 1.0346 |
| No log | 7.76 | 194 | 1.1249 | 0.5429 | 1.1249 | 1.0606 |
| No log | 7.84 | 196 | 1.1227 | 0.5522 | 1.1227 | 1.0596 |
| No log | 7.92 | 198 | 1.1060 | 0.5606 | 1.1060 | 1.0516 |
| No log | 8.0 | 200 | 1.0575 | 0.5778 | 1.0575 | 1.0283 |
| No log | 8.08 | 202 | 1.0000 | 0.6377 | 1.0000 | 1.0000 |
| No log | 8.16 | 204 | 1.0172 | 0.6074 | 1.0172 | 1.0085 |
| No log | 8.24 | 206 | 1.0017 | 0.5758 | 1.0017 | 1.0009 |
| No log | 8.32 | 208 | 1.1009 | 0.5846 | 1.1009 | 1.0492 |
| No log | 8.4 | 210 | 1.1522 | 0.5344 | 1.1522 | 1.0734 |
| No log | 8.48 | 212 | 1.1013 | 0.5538 | 1.1013 | 1.0494 |
| No log | 8.56 | 214 | 1.1155 | 0.5606 | 1.1155 | 1.0562 |
| No log | 8.64 | 216 | 1.2406 | 0.4925 | 1.2406 | 1.1138 |
| No log | 8.72 | 218 | 1.3007 | 0.4317 | 1.3007 | 1.1405 |
| No log | 8.8 | 220 | 1.2528 | 0.4638 | 1.2528 | 1.1193 |
| No log | 8.88 | 222 | 1.2381 | 0.5263 | 1.2381 | 1.1127 |
| No log | 8.96 | 224 | 1.2001 | 0.5556 | 1.2001 | 1.0955 |
| No log | 9.04 | 226 | 1.1051 | 0.6047 | 1.1051 | 1.0512 |
| No log | 9.12 | 228 | 1.0703 | 0.6 | 1.0703 | 1.0345 |
| No log | 9.2 | 230 | 1.0946 | 0.5909 | 1.0946 | 1.0463 |
| No log | 9.28 | 232 | 1.1239 | 0.5362 | 1.1239 | 1.0601 |
| No log | 9.36 | 234 | 1.0795 | 0.5401 | 1.0795 | 1.0390 |
| No log | 9.44 | 236 | 0.9392 | 0.6714 | 0.9392 | 0.9691 |
| No log | 9.52 | 238 | 0.8355 | 0.7101 | 0.8355 | 0.9141 |
| No log | 9.6 | 240 | 0.8590 | 0.7 | 0.8590 | 0.9268 |
| No log | 9.68 | 242 | 1.0264 | 0.6027 | 1.0264 | 1.0131 |
| No log | 9.76 | 244 | 1.1035 | 0.5986 | 1.1035 | 1.0505 |
| No log | 9.84 | 246 | 0.9091 | 0.6571 | 0.9091 | 0.9535 |
| No log | 9.92 | 248 | 0.8673 | 0.6667 | 0.8673 | 0.9313 |
| No log | 10.0 | 250 | 0.8808 | 0.6667 | 0.8808 | 0.9385 |
| No log | 10.08 | 252 | 0.9684 | 0.6345 | 0.9684 | 0.9841 |
| No log | 10.16 | 254 | 0.9734 | 0.6351 | 0.9734 | 0.9866 |
| No log | 10.24 | 256 | 0.9085 | 0.6761 | 0.9085 | 0.9532 |
| No log | 10.32 | 258 | 0.9045 | 0.6667 | 0.9045 | 0.9511 |
| No log | 10.4 | 260 | 0.9935 | 0.6331 | 0.9935 | 0.9967 |
| No log | 10.48 | 262 | 1.0764 | 0.5775 | 1.0764 | 1.0375 |
| No log | 10.56 | 264 | 1.0671 | 0.5775 | 1.0671 | 1.0330 |
| No log | 10.64 | 266 | 0.9976 | 0.6176 | 0.9976 | 0.9988 |
| No log | 10.72 | 268 | 0.9532 | 0.6406 | 0.9532 | 0.9763 |
| No log | 10.8 | 270 | 0.9820 | 0.6277 | 0.9820 | 0.9910 |
| No log | 10.88 | 272 | 1.0649 | 0.5652 | 1.0649 | 1.0320 |
| No log | 10.96 | 274 | 1.0864 | 0.5547 | 1.0864 | 1.0423 |
| No log | 11.04 | 276 | 1.0509 | 0.6032 | 1.0509 | 1.0251 |
| No log | 11.12 | 278 | 1.0499 | 0.576 | 1.0499 | 1.0247 |
| No log | 11.2 | 280 | 1.0303 | 0.576 | 1.0303 | 1.0150 |
| No log | 11.28 | 282 | 1.0346 | 0.6202 | 1.0346 | 1.0172 |
| No log | 11.36 | 284 | 1.1251 | 0.5954 | 1.1251 | 1.0607 |
| No log | 11.44 | 286 | 1.1600 | 0.5333 | 1.1600 | 1.0770 |
| No log | 11.52 | 288 | 1.0838 | 0.5891 | 1.0838 | 1.0411 |
| No log | 11.6 | 290 | 1.0048 | 0.6412 | 1.0048 | 1.0024 |
| No log | 11.68 | 292 | 0.9524 | 0.6047 | 0.9524 | 0.9759 |
| No log | 11.76 | 294 | 1.0013 | 0.5954 | 1.0013 | 1.0006 |
| No log | 11.84 | 296 | 1.0803 | 0.5693 | 1.0803 | 1.0394 |
| No log | 11.92 | 298 | 1.0560 | 0.5693 | 1.0560 | 1.0276 |
| No log | 12.0 | 300 | 0.9531 | 0.6423 | 0.9531 | 0.9763 |
| No log | 12.08 | 302 | 0.9694 | 0.6351 | 0.9694 | 0.9846 |
| No log | 12.16 | 304 | 1.0120 | 0.6259 | 1.0120 | 1.0060 |
| No log | 12.24 | 306 | 1.0330 | 0.5882 | 1.0330 | 1.0164 |
| No log | 12.32 | 308 | 0.9337 | 0.5882 | 0.9337 | 0.9663 |
| No log | 12.4 | 310 | 0.8142 | 0.6370 | 0.8142 | 0.9024 |
| No log | 12.48 | 312 | 0.7679 | 0.6406 | 0.7679 | 0.8763 |
| No log | 12.56 | 314 | 0.7702 | 0.6615 | 0.7702 | 0.8776 |
| No log | 12.64 | 316 | 0.8229 | 0.6667 | 0.8229 | 0.9071 |
| No log | 12.72 | 318 | 0.9973 | 0.6753 | 0.9973 | 0.9986 |
| No log | 12.8 | 320 | 1.1280 | 0.6335 | 1.1280 | 1.0621 |
| No log | 12.88 | 322 | 1.0566 | 0.6420 | 1.0566 | 1.0279 |
| No log | 12.96 | 324 | 0.9178 | 0.6835 | 0.9178 | 0.9580 |
| No log | 13.04 | 326 | 0.8482 | 0.7075 | 0.8482 | 0.9210 |
| No log | 13.12 | 328 | 0.8583 | 0.6623 | 0.8583 | 0.9264 |
| No log | 13.2 | 330 | 0.9762 | 0.6536 | 0.9762 | 0.9880 |
| No log | 13.28 | 332 | 1.1105 | 0.6329 | 1.1105 | 1.0538 |
| No log | 13.36 | 334 | 1.0227 | 0.6184 | 1.0227 | 1.0113 |
| No log | 13.44 | 336 | 0.8471 | 0.6522 | 0.8471 | 0.9204 |
| No log | 13.52 | 338 | 0.6972 | 0.7338 | 0.6972 | 0.8350 |
| No log | 13.6 | 340 | 0.6681 | 0.7429 | 0.6681 | 0.8174 |
| No log | 13.68 | 342 | 0.6849 | 0.7338 | 0.6849 | 0.8276 |
| No log | 13.76 | 344 | 0.7800 | 0.6619 | 0.7800 | 0.8832 |
| No log | 13.84 | 346 | 0.8928 | 0.5985 | 0.8928 | 0.9449 |
| No log | 13.92 | 348 | 0.9491 | 0.6040 | 0.9491 | 0.9742 |
| No log | 14.0 | 350 | 0.8714 | 0.6571 | 0.8714 | 0.9335 |
| No log | 14.08 | 352 | 0.8212 | 0.6763 | 0.8212 | 0.9062 |
| No log | 14.16 | 354 | 0.8173 | 0.6714 | 0.8173 | 0.9040 |
| No log | 14.24 | 356 | 0.8050 | 0.6714 | 0.8050 | 0.8972 |
| No log | 14.32 | 358 | 0.8714 | 0.6897 | 0.8714 | 0.9335 |
| No log | 14.4 | 360 | 0.9980 | 0.6184 | 0.9980 | 0.9990 |
| No log | 14.48 | 362 | 0.9856 | 0.6093 | 0.9856 | 0.9928 |
| No log | 14.56 | 364 | 0.8942 | 0.6338 | 0.8942 | 0.9456 |
| No log | 14.64 | 366 | 0.8701 | 0.6377 | 0.8701 | 0.9328 |
| No log | 14.72 | 368 | 0.8730 | 0.6370 | 0.8730 | 0.9343 |
| No log | 14.8 | 370 | 0.8718 | 0.6047 | 0.8718 | 0.9337 |
| No log | 14.88 | 372 | 0.9415 | 0.5758 | 0.9415 | 0.9703 |
| No log | 14.96 | 374 | 1.0012 | 0.5547 | 1.0012 | 1.0006 |
| No log | 15.04 | 376 | 0.9758 | 0.5547 | 0.9758 | 0.9878 |
| No log | 15.12 | 378 | 0.8761 | 0.6187 | 0.8761 | 0.9360 |
| No log | 15.2 | 380 | 0.7972 | 0.6861 | 0.7972 | 0.8928 |
| No log | 15.28 | 382 | 0.8012 | 0.7083 | 0.8012 | 0.8951 |
| No log | 15.36 | 384 | 0.9151 | 0.6533 | 0.9151 | 0.9566 |
| No log | 15.44 | 386 | 1.0256 | 0.5986 | 1.0256 | 1.0127 |
| No log | 15.52 | 388 | 0.9796 | 0.6164 | 0.9796 | 0.9898 |
| No log | 15.6 | 390 | 0.8615 | 0.6525 | 0.8615 | 0.9282 |
| No log | 15.68 | 392 | 0.8459 | 0.6222 | 0.8459 | 0.9197 |
| No log | 15.76 | 394 | 0.8875 | 0.6483 | 0.8875 | 0.9421 |
| No log | 15.84 | 396 | 0.9574 | 0.6389 | 0.9574 | 0.9785 |
| No log | 15.92 | 398 | 0.9336 | 0.6713 | 0.9336 | 0.9662 |
| No log | 16.0 | 400 | 0.8541 | 0.6620 | 0.8541 | 0.9242 |
| No log | 16.08 | 402 | 0.7713 | 0.7260 | 0.7713 | 0.8782 |
| No log | 16.16 | 404 | 0.7633 | 0.7246 | 0.7633 | 0.8737 |
| No log | 16.24 | 406 | 0.8128 | 0.6912 | 0.8128 | 0.9016 |
| No log | 16.32 | 408 | 0.9698 | 0.64 | 0.9698 | 0.9848 |
| No log | 16.4 | 410 | 1.1654 | 0.5912 | 1.1654 | 1.0795 |
| No log | 16.48 | 412 | 1.2077 | 0.5767 | 1.2077 | 1.0989 |
| No log | 16.56 | 414 | 1.0718 | 0.6225 | 1.0718 | 1.0353 |
| No log | 16.64 | 416 | 0.9274 | 0.6763 | 0.9274 | 0.9630 |
| No log | 16.72 | 418 | 0.8809 | 0.6957 | 0.8809 | 0.9385 |
| No log | 16.8 | 420 | 0.8765 | 0.6906 | 0.8765 | 0.9362 |
| No log | 16.88 | 422 | 0.8893 | 0.6901 | 0.8893 | 0.9430 |
| No log | 16.96 | 424 | 0.9652 | 0.6232 | 0.9652 | 0.9824 |
| No log | 17.04 | 426 | 0.9925 | 0.6232 | 0.9925 | 0.9962 |
| No log | 17.12 | 428 | 0.9179 | 0.6260 | 0.9179 | 0.9581 |
| No log | 17.2 | 430 | 0.7938 | 0.6357 | 0.7938 | 0.8909 |
| No log | 17.28 | 432 | 0.7404 | 0.7015 | 0.7404 | 0.8605 |
| No log | 17.36 | 434 | 0.7279 | 0.7015 | 0.7279 | 0.8532 |
| No log | 17.44 | 436 | 0.8239 | 0.6939 | 0.8239 | 0.9077 |
| No log | 17.52 | 438 | 0.9908 | 0.6623 | 0.9908 | 0.9954 |
| No log | 17.6 | 440 | 1.0875 | 0.625 | 1.0875 | 1.0429 |
| No log | 17.68 | 442 | 1.0192 | 0.6579 | 1.0192 | 1.0096 |
| No log | 17.76 | 444 | 0.8711 | 0.6887 | 0.8711 | 0.9333 |
| No log | 17.84 | 446 | 0.7333 | 0.7273 | 0.7333 | 0.8564 |
| No log | 17.92 | 448 | 0.7107 | 0.7724 | 0.7107 | 0.8430 |
| No log | 18.0 | 450 | 0.7371 | 0.7234 | 0.7371 | 0.8586 |
| No log | 18.08 | 452 | 0.7880 | 0.7143 | 0.7880 | 0.8877 |
| No log | 18.16 | 454 | 0.9472 | 0.6269 | 0.9472 | 0.9733 |
| No log | 18.24 | 456 | 1.0827 | 0.5970 | 1.0827 | 1.0405 |
| No log | 18.32 | 458 | 1.1307 | 0.5758 | 1.1307 | 1.0634 |
| No log | 18.4 | 460 | 1.0578 | 0.5846 | 1.0578 | 1.0285 |
| No log | 18.48 | 462 | 0.9370 | 0.625 | 0.9370 | 0.9680 |
| No log | 18.56 | 464 | 0.8929 | 0.6357 | 0.8929 | 0.9449 |
| No log | 18.64 | 466 | 0.8371 | 0.7015 | 0.8371 | 0.9149 |
| No log | 18.72 | 468 | 0.8099 | 0.7206 | 0.8099 | 0.8999 |
| No log | 18.8 | 470 | 0.8334 | 0.6617 | 0.8334 | 0.9129 |
| No log | 18.88 | 472 | 0.9196 | 0.6277 | 0.9196 | 0.9590 |
| No log | 18.96 | 474 | 1.0200 | 0.5547 | 1.0200 | 1.0100 |
| No log | 19.04 | 476 | 1.0080 | 0.5588 | 1.0080 | 1.0040 |
| No log | 19.12 | 478 | 0.9190 | 0.5984 | 0.9190 | 0.9586 |
| No log | 19.2 | 480 | 0.8413 | 0.6094 | 0.8413 | 0.9172 |
| No log | 19.28 | 482 | 0.8137 | 0.6667 | 0.8137 | 0.9021 |
| No log | 19.36 | 484 | 0.8200 | 0.6357 | 0.8200 | 0.9055 |
| No log | 19.44 | 486 | 0.8550 | 0.6364 | 0.8550 | 0.9246 |
| No log | 19.52 | 488 | 0.8898 | 0.6466 | 0.8898 | 0.9433 |
| No log | 19.6 | 490 | 0.9532 | 0.6370 | 0.9532 | 0.9763 |
| No log | 19.68 | 492 | 0.9558 | 0.6269 | 0.9558 | 0.9777 |
| No log | 19.76 | 494 | 0.9596 | 0.6074 | 0.9596 | 0.9796 |
| No log | 19.84 | 496 | 0.9756 | 0.6087 | 0.9756 | 0.9877 |
| No log | 19.92 | 498 | 0.9671 | 0.6316 | 0.9671 | 0.9834 |
| 0.4829 | 20.0 | 500 | 0.9185 | 0.6870 | 0.9185 | 0.9584 |
| 0.4829 | 20.08 | 502 | 0.9076 | 0.6870 | 0.9076 | 0.9527 |
| 0.4829 | 20.16 | 504 | 0.9370 | 0.6212 | 0.9370 | 0.9680 |
| 0.4829 | 20.24 | 506 | 1.0246 | 0.6122 | 1.0246 | 1.0122 |
| 0.4829 | 20.32 | 508 | 0.9984 | 0.6351 | 0.9984 | 0.9992 |
| 0.4829 | 20.4 | 510 | 0.9058 | 0.6533 | 0.9058 | 0.9518 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 3
Model tree for MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k5_task1_organization
Base model
aubmindlab/bert-base-arabertv02