Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task5_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: 0.9269
- Qwk: 0.6421
- Mse: 0.9269
- Rmse: 0.9628
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0417 | 2 | 2.4618 | 0.0209 | 2.4618 | 1.5690 |
| No log | 0.0833 | 4 | 1.6981 | 0.1695 | 1.6981 | 1.3031 |
| No log | 0.125 | 6 | 1.4154 | 0.1779 | 1.4154 | 1.1897 |
| No log | 0.1667 | 8 | 1.4762 | 0.1082 | 1.4762 | 1.2150 |
| No log | 0.2083 | 10 | 1.5313 | 0.1826 | 1.5313 | 1.2375 |
| No log | 0.25 | 12 | 1.5920 | 0.3611 | 1.5919 | 1.2617 |
| No log | 0.2917 | 14 | 1.5720 | 0.3917 | 1.5720 | 1.2538 |
| No log | 0.3333 | 16 | 1.4767 | 0.3594 | 1.4767 | 1.2152 |
| No log | 0.375 | 18 | 1.3089 | 0.3174 | 1.3089 | 1.1441 |
| No log | 0.4167 | 20 | 1.2220 | 0.2737 | 1.2220 | 1.1055 |
| No log | 0.4583 | 22 | 1.1971 | 0.4039 | 1.1971 | 1.0941 |
| No log | 0.5 | 24 | 1.2417 | 0.4420 | 1.2417 | 1.1143 |
| No log | 0.5417 | 26 | 1.2569 | 0.4270 | 1.2569 | 1.1211 |
| No log | 0.5833 | 28 | 1.1813 | 0.4352 | 1.1813 | 1.0869 |
| No log | 0.625 | 30 | 1.1960 | 0.3978 | 1.1960 | 1.0936 |
| No log | 0.6667 | 32 | 1.2117 | 0.4157 | 1.2117 | 1.1008 |
| No log | 0.7083 | 34 | 1.1840 | 0.3451 | 1.1840 | 1.0881 |
| No log | 0.75 | 36 | 1.2104 | 0.3773 | 1.2104 | 1.1002 |
| No log | 0.7917 | 38 | 1.1953 | 0.3606 | 1.1953 | 1.0933 |
| No log | 0.8333 | 40 | 1.2142 | 0.2950 | 1.2142 | 1.1019 |
| No log | 0.875 | 42 | 1.2025 | 0.3090 | 1.2025 | 1.0966 |
| No log | 0.9167 | 44 | 1.2111 | 0.3619 | 1.2111 | 1.1005 |
| No log | 0.9583 | 46 | 1.2840 | 0.3676 | 1.2840 | 1.1331 |
| No log | 1.0 | 48 | 1.4769 | 0.3562 | 1.4769 | 1.2153 |
| No log | 1.0417 | 50 | 1.5730 | 0.3570 | 1.5730 | 1.2542 |
| No log | 1.0833 | 52 | 1.4050 | 0.3681 | 1.4050 | 1.1853 |
| No log | 1.125 | 54 | 1.1556 | 0.4099 | 1.1556 | 1.0750 |
| No log | 1.1667 | 56 | 1.0999 | 0.4011 | 1.0999 | 1.0488 |
| No log | 1.2083 | 58 | 1.1373 | 0.4548 | 1.1373 | 1.0665 |
| No log | 1.25 | 60 | 1.1829 | 0.4387 | 1.1829 | 1.0876 |
| No log | 1.2917 | 62 | 1.1006 | 0.4763 | 1.1006 | 1.0491 |
| No log | 1.3333 | 64 | 1.0552 | 0.4142 | 1.0552 | 1.0272 |
| No log | 1.375 | 66 | 1.0296 | 0.4328 | 1.0296 | 1.0147 |
| No log | 1.4167 | 68 | 1.0382 | 0.5090 | 1.0382 | 1.0189 |
| No log | 1.4583 | 70 | 0.9766 | 0.4826 | 0.9766 | 0.9882 |
| No log | 1.5 | 72 | 0.9635 | 0.4787 | 0.9635 | 0.9816 |
| No log | 1.5417 | 74 | 0.9811 | 0.5122 | 0.9811 | 0.9905 |
| No log | 1.5833 | 76 | 1.1590 | 0.5096 | 1.1590 | 1.0765 |
| No log | 1.625 | 78 | 1.1502 | 0.5592 | 1.1502 | 1.0725 |
| No log | 1.6667 | 80 | 1.0272 | 0.5104 | 1.0272 | 1.0135 |
| No log | 1.7083 | 82 | 0.9893 | 0.4773 | 0.9893 | 0.9947 |
| No log | 1.75 | 84 | 1.0180 | 0.5626 | 1.0180 | 1.0090 |
| No log | 1.7917 | 86 | 0.9670 | 0.4944 | 0.9670 | 0.9834 |
| No log | 1.8333 | 88 | 0.9261 | 0.5066 | 0.9261 | 0.9623 |
| No log | 1.875 | 90 | 0.9467 | 0.5273 | 0.9467 | 0.9730 |
| No log | 1.9167 | 92 | 1.0169 | 0.5199 | 1.0169 | 1.0084 |
| No log | 1.9583 | 94 | 1.0219 | 0.5199 | 1.0219 | 1.0109 |
| No log | 2.0 | 96 | 1.1411 | 0.4535 | 1.1411 | 1.0682 |
| No log | 2.0417 | 98 | 1.4137 | 0.4312 | 1.4137 | 1.1890 |
| No log | 2.0833 | 100 | 1.4251 | 0.4710 | 1.4251 | 1.1938 |
| No log | 2.125 | 102 | 1.1976 | 0.5146 | 1.1976 | 1.0944 |
| No log | 2.1667 | 104 | 0.9843 | 0.5611 | 0.9843 | 0.9921 |
| No log | 2.2083 | 106 | 0.8887 | 0.6032 | 0.8887 | 0.9427 |
| No log | 2.25 | 108 | 0.8605 | 0.6032 | 0.8605 | 0.9276 |
| No log | 2.2917 | 110 | 0.9131 | 0.5948 | 0.9131 | 0.9556 |
| No log | 2.3333 | 112 | 1.1651 | 0.5703 | 1.1651 | 1.0794 |
| No log | 2.375 | 114 | 1.2711 | 0.5605 | 1.2711 | 1.1274 |
| No log | 2.4167 | 116 | 1.0990 | 0.5998 | 1.0990 | 1.0483 |
| No log | 2.4583 | 118 | 0.9610 | 0.6095 | 0.9610 | 0.9803 |
| No log | 2.5 | 120 | 1.0572 | 0.5956 | 1.0572 | 1.0282 |
| No log | 2.5417 | 122 | 1.1787 | 0.5632 | 1.1787 | 1.0857 |
| No log | 2.5833 | 124 | 1.1460 | 0.5858 | 1.1460 | 1.0705 |
| No log | 2.625 | 126 | 1.1614 | 0.5885 | 1.1614 | 1.0777 |
| No log | 2.6667 | 128 | 1.4076 | 0.5446 | 1.4076 | 1.1864 |
| No log | 2.7083 | 130 | 1.5115 | 0.5261 | 1.5115 | 1.2294 |
| No log | 2.75 | 132 | 1.5567 | 0.5169 | 1.5567 | 1.2477 |
| No log | 2.7917 | 134 | 1.2062 | 0.6271 | 1.2062 | 1.0983 |
| No log | 2.8333 | 136 | 0.9158 | 0.6056 | 0.9158 | 0.9570 |
| No log | 2.875 | 138 | 0.9115 | 0.6065 | 0.9115 | 0.9547 |
| No log | 2.9167 | 140 | 1.0425 | 0.6155 | 1.0425 | 1.0210 |
| No log | 2.9583 | 142 | 1.0130 | 0.6135 | 1.0130 | 1.0065 |
| No log | 3.0 | 144 | 0.8879 | 0.5899 | 0.8879 | 0.9423 |
| No log | 3.0417 | 146 | 0.8085 | 0.6360 | 0.8085 | 0.8992 |
| No log | 3.0833 | 148 | 0.7864 | 0.6351 | 0.7864 | 0.8868 |
| No log | 3.125 | 150 | 0.7729 | 0.6547 | 0.7729 | 0.8791 |
| No log | 3.1667 | 152 | 0.8336 | 0.6194 | 0.8336 | 0.9130 |
| No log | 3.2083 | 154 | 1.0942 | 0.6124 | 1.0942 | 1.0460 |
| No log | 3.25 | 156 | 1.1374 | 0.6033 | 1.1374 | 1.0665 |
| No log | 3.2917 | 158 | 1.1271 | 0.5884 | 1.1271 | 1.0617 |
| No log | 3.3333 | 160 | 0.9810 | 0.5880 | 0.9810 | 0.9904 |
| No log | 3.375 | 162 | 0.9278 | 0.6043 | 0.9278 | 0.9632 |
| No log | 3.4167 | 164 | 1.0002 | 0.6345 | 1.0002 | 1.0001 |
| No log | 3.4583 | 166 | 1.0527 | 0.6375 | 1.0527 | 1.0260 |
| No log | 3.5 | 168 | 0.9230 | 0.6437 | 0.9230 | 0.9607 |
| No log | 3.5417 | 170 | 0.9248 | 0.6055 | 0.9248 | 0.9617 |
| No log | 3.5833 | 172 | 0.9252 | 0.6175 | 0.9252 | 0.9619 |
| No log | 3.625 | 174 | 0.9129 | 0.6303 | 0.9129 | 0.9554 |
| No log | 3.6667 | 176 | 1.0579 | 0.6054 | 1.0579 | 1.0285 |
| No log | 3.7083 | 178 | 1.2384 | 0.5586 | 1.2384 | 1.1128 |
| No log | 3.75 | 180 | 1.1114 | 0.6092 | 1.1114 | 1.0542 |
| No log | 3.7917 | 182 | 1.0299 | 0.5856 | 1.0299 | 1.0148 |
| No log | 3.8333 | 184 | 0.9176 | 0.6213 | 0.9176 | 0.9579 |
| No log | 3.875 | 186 | 0.9111 | 0.6287 | 0.9111 | 0.9545 |
| No log | 3.9167 | 188 | 1.1012 | 0.6003 | 1.1012 | 1.0494 |
| No log | 3.9583 | 190 | 1.4631 | 0.5641 | 1.4631 | 1.2096 |
| No log | 4.0 | 192 | 1.6035 | 0.5360 | 1.6035 | 1.2663 |
| No log | 4.0417 | 194 | 1.3871 | 0.5766 | 1.3871 | 1.1778 |
| No log | 4.0833 | 196 | 1.1107 | 0.6092 | 1.1107 | 1.0539 |
| No log | 4.125 | 198 | 0.9700 | 0.6264 | 0.9700 | 0.9849 |
| No log | 4.1667 | 200 | 1.0459 | 0.6252 | 1.0459 | 1.0227 |
| No log | 4.2083 | 202 | 1.2831 | 0.6010 | 1.2831 | 1.1328 |
| No log | 4.25 | 204 | 1.4659 | 0.5736 | 1.4659 | 1.2107 |
| No log | 4.2917 | 206 | 1.6888 | 0.5172 | 1.6888 | 1.2995 |
| No log | 4.3333 | 208 | 1.6177 | 0.5189 | 1.6177 | 1.2719 |
| No log | 4.375 | 210 | 1.2676 | 0.5687 | 1.2676 | 1.1259 |
| No log | 4.4167 | 212 | 1.0134 | 0.6338 | 1.0134 | 1.0067 |
| No log | 4.4583 | 214 | 0.9832 | 0.6181 | 0.9832 | 0.9916 |
| No log | 4.5 | 216 | 1.0426 | 0.5923 | 1.0426 | 1.0211 |
| No log | 4.5417 | 218 | 1.2679 | 0.5531 | 1.2679 | 1.1260 |
| No log | 4.5833 | 220 | 1.3381 | 0.5467 | 1.3381 | 1.1567 |
| No log | 4.625 | 222 | 1.2078 | 0.5468 | 1.2078 | 1.0990 |
| No log | 4.6667 | 224 | 1.0378 | 0.5735 | 1.0378 | 1.0187 |
| No log | 4.7083 | 226 | 0.9537 | 0.5938 | 0.9537 | 0.9766 |
| No log | 4.75 | 228 | 0.9622 | 0.6280 | 0.9622 | 0.9809 |
| No log | 4.7917 | 230 | 1.0191 | 0.6354 | 1.0191 | 1.0095 |
| No log | 4.8333 | 232 | 1.1339 | 0.5919 | 1.1339 | 1.0649 |
| No log | 4.875 | 234 | 1.2757 | 0.5698 | 1.2757 | 1.1295 |
| No log | 4.9167 | 236 | 1.1494 | 0.6016 | 1.1494 | 1.0721 |
| No log | 4.9583 | 238 | 0.8837 | 0.6609 | 0.8837 | 0.9400 |
| No log | 5.0 | 240 | 0.8024 | 0.6301 | 0.8024 | 0.8958 |
| No log | 5.0417 | 242 | 0.8567 | 0.6472 | 0.8567 | 0.9256 |
| No log | 5.0833 | 244 | 1.0331 | 0.6324 | 1.0331 | 1.0164 |
| No log | 5.125 | 246 | 1.2927 | 0.5870 | 1.2927 | 1.1370 |
| No log | 5.1667 | 248 | 1.3119 | 0.5794 | 1.3119 | 1.1454 |
| No log | 5.2083 | 250 | 1.1441 | 0.5962 | 1.1441 | 1.0696 |
| No log | 5.25 | 252 | 0.9732 | 0.6232 | 0.9732 | 0.9865 |
| No log | 5.2917 | 254 | 0.9086 | 0.6412 | 0.9086 | 0.9532 |
| No log | 5.3333 | 256 | 0.8850 | 0.6379 | 0.8850 | 0.9407 |
| No log | 5.375 | 258 | 0.9326 | 0.6490 | 0.9326 | 0.9657 |
| No log | 5.4167 | 260 | 1.0413 | 0.6324 | 1.0413 | 1.0205 |
| No log | 5.4583 | 262 | 1.0739 | 0.6238 | 1.0739 | 1.0363 |
| No log | 5.5 | 264 | 1.0568 | 0.6409 | 1.0568 | 1.0280 |
| No log | 5.5417 | 266 | 0.9910 | 0.6474 | 0.9910 | 0.9955 |
| No log | 5.5833 | 268 | 0.8778 | 0.6349 | 0.8778 | 0.9369 |
| No log | 5.625 | 270 | 0.8126 | 0.6303 | 0.8126 | 0.9014 |
| No log | 5.6667 | 272 | 0.8283 | 0.6399 | 0.8283 | 0.9101 |
| No log | 5.7083 | 274 | 0.9419 | 0.6441 | 0.9419 | 0.9705 |
| No log | 5.75 | 276 | 1.1308 | 0.6263 | 1.1308 | 1.0634 |
| No log | 5.7917 | 278 | 1.2358 | 0.5950 | 1.2358 | 1.1117 |
| No log | 5.8333 | 280 | 1.1893 | 0.5994 | 1.1893 | 1.0906 |
| No log | 5.875 | 282 | 1.0584 | 0.6289 | 1.0584 | 1.0288 |
| No log | 5.9167 | 284 | 0.9474 | 0.6387 | 0.9474 | 0.9734 |
| No log | 5.9583 | 286 | 0.9364 | 0.6345 | 0.9364 | 0.9677 |
| No log | 6.0 | 288 | 0.9770 | 0.6168 | 0.9770 | 0.9884 |
| No log | 6.0417 | 290 | 0.9732 | 0.6344 | 0.9732 | 0.9865 |
| No log | 6.0833 | 292 | 0.8948 | 0.6468 | 0.8948 | 0.9460 |
| No log | 6.125 | 294 | 0.8203 | 0.6311 | 0.8203 | 0.9057 |
| No log | 6.1667 | 296 | 0.8007 | 0.6340 | 0.8007 | 0.8948 |
| No log | 6.2083 | 298 | 0.8115 | 0.6340 | 0.8115 | 0.9008 |
| No log | 6.25 | 300 | 0.8223 | 0.6374 | 0.8223 | 0.9068 |
| No log | 6.2917 | 302 | 0.8469 | 0.6437 | 0.8469 | 0.9203 |
| No log | 6.3333 | 304 | 0.8860 | 0.6471 | 0.8860 | 0.9413 |
| No log | 6.375 | 306 | 0.9028 | 0.6351 | 0.9028 | 0.9502 |
| No log | 6.4167 | 308 | 0.9677 | 0.6103 | 0.9677 | 0.9837 |
| No log | 6.4583 | 310 | 1.0167 | 0.6215 | 1.0167 | 1.0083 |
| No log | 6.5 | 312 | 1.0051 | 0.6261 | 1.0051 | 1.0025 |
| No log | 6.5417 | 314 | 1.0120 | 0.6261 | 1.0120 | 1.0060 |
| No log | 6.5833 | 316 | 0.9368 | 0.6284 | 0.9368 | 0.9679 |
| No log | 6.625 | 318 | 0.9264 | 0.6284 | 0.9264 | 0.9625 |
| No log | 6.6667 | 320 | 0.9281 | 0.6284 | 0.9281 | 0.9634 |
| No log | 6.7083 | 322 | 0.9480 | 0.6548 | 0.9480 | 0.9736 |
| No log | 6.75 | 324 | 1.0112 | 0.6194 | 1.0112 | 1.0056 |
| No log | 6.7917 | 326 | 1.1085 | 0.6059 | 1.1085 | 1.0528 |
| No log | 6.8333 | 328 | 1.1835 | 0.5885 | 1.1835 | 1.0879 |
| No log | 6.875 | 330 | 1.1379 | 0.6075 | 1.1379 | 1.0667 |
| No log | 6.9167 | 332 | 1.0511 | 0.6195 | 1.0511 | 1.0252 |
| No log | 6.9583 | 334 | 1.0649 | 0.6235 | 1.0649 | 1.0320 |
| No log | 7.0 | 336 | 1.1394 | 0.6091 | 1.1394 | 1.0674 |
| No log | 7.0417 | 338 | 1.1184 | 0.6237 | 1.1184 | 1.0576 |
| No log | 7.0833 | 340 | 1.0021 | 0.6441 | 1.0021 | 1.0011 |
| No log | 7.125 | 342 | 0.9311 | 0.6550 | 0.9311 | 0.9649 |
| No log | 7.1667 | 344 | 0.9198 | 0.6571 | 0.9198 | 0.9591 |
| No log | 7.2083 | 346 | 0.9755 | 0.6357 | 0.9755 | 0.9877 |
| No log | 7.25 | 348 | 1.0410 | 0.6275 | 1.0410 | 1.0203 |
| No log | 7.2917 | 350 | 1.0498 | 0.6275 | 1.0498 | 1.0246 |
| No log | 7.3333 | 352 | 1.0454 | 0.6275 | 1.0454 | 1.0225 |
| No log | 7.375 | 354 | 0.9589 | 0.6429 | 0.9589 | 0.9792 |
| No log | 7.4167 | 356 | 0.8336 | 0.6603 | 0.8336 | 0.9130 |
| No log | 7.4583 | 358 | 0.7534 | 0.6814 | 0.7534 | 0.8680 |
| No log | 7.5 | 360 | 0.7408 | 0.6741 | 0.7408 | 0.8607 |
| No log | 7.5417 | 362 | 0.7637 | 0.6729 | 0.7637 | 0.8739 |
| No log | 7.5833 | 364 | 0.8370 | 0.6562 | 0.8370 | 0.9149 |
| No log | 7.625 | 366 | 0.8820 | 0.6558 | 0.8820 | 0.9392 |
| No log | 7.6667 | 368 | 0.9472 | 0.6429 | 0.9472 | 0.9733 |
| No log | 7.7083 | 370 | 0.9862 | 0.6375 | 0.9862 | 0.9931 |
| No log | 7.75 | 372 | 1.0315 | 0.6289 | 1.0315 | 1.0156 |
| No log | 7.7917 | 374 | 1.0033 | 0.6275 | 1.0033 | 1.0016 |
| No log | 7.8333 | 376 | 0.9185 | 0.6459 | 0.9185 | 0.9584 |
| No log | 7.875 | 378 | 0.8422 | 0.6498 | 0.8422 | 0.9177 |
| No log | 7.9167 | 380 | 0.8137 | 0.6600 | 0.8137 | 0.9021 |
| No log | 7.9583 | 382 | 0.8153 | 0.6600 | 0.8153 | 0.9029 |
| No log | 8.0 | 384 | 0.8503 | 0.6603 | 0.8503 | 0.9221 |
| No log | 8.0417 | 386 | 0.8743 | 0.6493 | 0.8743 | 0.9350 |
| No log | 8.0833 | 388 | 0.8739 | 0.6374 | 0.8739 | 0.9348 |
| No log | 8.125 | 390 | 0.8779 | 0.6374 | 0.8779 | 0.9370 |
| No log | 8.1667 | 392 | 0.8639 | 0.6407 | 0.8639 | 0.9294 |
| No log | 8.2083 | 394 | 0.8693 | 0.6389 | 0.8693 | 0.9324 |
| No log | 8.25 | 396 | 0.8744 | 0.6374 | 0.8744 | 0.9351 |
| No log | 8.2917 | 398 | 0.8805 | 0.6399 | 0.8805 | 0.9383 |
| No log | 8.3333 | 400 | 0.8667 | 0.6399 | 0.8667 | 0.9310 |
| No log | 8.375 | 402 | 0.8530 | 0.6471 | 0.8530 | 0.9236 |
| No log | 8.4167 | 404 | 0.8452 | 0.6561 | 0.8452 | 0.9193 |
| No log | 8.4583 | 406 | 0.8490 | 0.6561 | 0.8490 | 0.9214 |
| No log | 8.5 | 408 | 0.8664 | 0.6471 | 0.8664 | 0.9308 |
| No log | 8.5417 | 410 | 0.8672 | 0.6561 | 0.8672 | 0.9312 |
| No log | 8.5833 | 412 | 0.8599 | 0.6520 | 0.8599 | 0.9273 |
| No log | 8.625 | 414 | 0.8509 | 0.6444 | 0.8509 | 0.9224 |
| No log | 8.6667 | 416 | 0.8375 | 0.6628 | 0.8375 | 0.9152 |
| No log | 8.7083 | 418 | 0.8409 | 0.6636 | 0.8409 | 0.9170 |
| No log | 8.75 | 420 | 0.8340 | 0.6653 | 0.8340 | 0.9132 |
| No log | 8.7917 | 422 | 0.8365 | 0.6430 | 0.8365 | 0.9146 |
| No log | 8.8333 | 424 | 0.8451 | 0.6385 | 0.8451 | 0.9193 |
| No log | 8.875 | 426 | 0.8645 | 0.6405 | 0.8645 | 0.9298 |
| No log | 8.9167 | 428 | 0.8934 | 0.6295 | 0.8934 | 0.9452 |
| No log | 8.9583 | 430 | 0.9245 | 0.6161 | 0.9245 | 0.9615 |
| No log | 9.0 | 432 | 0.9437 | 0.6161 | 0.9437 | 0.9714 |
| No log | 9.0417 | 434 | 0.9612 | 0.6253 | 0.9612 | 0.9804 |
| No log | 9.0833 | 436 | 0.9630 | 0.6253 | 0.9630 | 0.9813 |
| No log | 9.125 | 438 | 0.9473 | 0.6224 | 0.9473 | 0.9733 |
| No log | 9.1667 | 440 | 0.9209 | 0.6161 | 0.9209 | 0.9596 |
| No log | 9.2083 | 442 | 0.8934 | 0.6204 | 0.8934 | 0.9452 |
| No log | 9.25 | 444 | 0.8723 | 0.6186 | 0.8723 | 0.9340 |
| No log | 9.2917 | 446 | 0.8552 | 0.6405 | 0.8552 | 0.9248 |
| No log | 9.3333 | 448 | 0.8441 | 0.6449 | 0.8441 | 0.9188 |
| No log | 9.375 | 450 | 0.8286 | 0.6349 | 0.8286 | 0.9103 |
| No log | 9.4167 | 452 | 0.8240 | 0.6518 | 0.8240 | 0.9077 |
| No log | 9.4583 | 454 | 0.8237 | 0.6792 | 0.8237 | 0.9076 |
| No log | 9.5 | 456 | 0.8305 | 0.6799 | 0.8305 | 0.9113 |
| No log | 9.5417 | 458 | 0.8456 | 0.6417 | 0.8456 | 0.9196 |
| No log | 9.5833 | 460 | 0.8688 | 0.6194 | 0.8688 | 0.9321 |
| No log | 9.625 | 462 | 0.8958 | 0.6228 | 0.8958 | 0.9465 |
| No log | 9.6667 | 464 | 0.9148 | 0.6377 | 0.9148 | 0.9564 |
| No log | 9.7083 | 466 | 0.9290 | 0.6421 | 0.9290 | 0.9639 |
| No log | 9.75 | 468 | 0.9347 | 0.6421 | 0.9347 | 0.9668 |
| No log | 9.7917 | 470 | 0.9362 | 0.6421 | 0.9362 | 0.9676 |
| No log | 9.8333 | 472 | 0.9370 | 0.6421 | 0.9370 | 0.9680 |
| No log | 9.875 | 474 | 0.9348 | 0.6421 | 0.9348 | 0.9669 |
| No log | 9.9167 | 476 | 0.9307 | 0.6421 | 0.9307 | 0.9647 |
| No log | 9.9583 | 478 | 0.9280 | 0.6421 | 0.9280 | 0.9633 |
| No log | 10.0 | 480 | 0.9269 | 0.6421 | 0.9269 | 0.9628 |
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/ArabicNewSplits6_FineTuningAraBERT_run3_AugV5_k13_task5_organization
Base model
aubmindlab/bert-base-arabertv02