Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k6_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_k6_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_k6_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k6_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k6_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k6_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: 0.9623
- Qwk: 0.5781
- Mse: 0.9623
- Rmse: 0.9810
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 | 0.0667 | 2 | 6.5798 | 0.0116 | 6.5798 | 2.5651 |
| No log | 0.1333 | 4 | 4.8139 | 0.0775 | 4.8139 | 2.1940 |
| No log | 0.2 | 6 | 2.9251 | 0.0988 | 2.9251 | 1.7103 |
| No log | 0.2667 | 8 | 2.7512 | 0.0137 | 2.7512 | 1.6587 |
| No log | 0.3333 | 10 | 2.0716 | 0.0847 | 2.0716 | 1.4393 |
| No log | 0.4 | 12 | 1.8114 | 0.1538 | 1.8114 | 1.3459 |
| No log | 0.4667 | 14 | 2.1186 | 0.1034 | 2.1186 | 1.4555 |
| No log | 0.5333 | 16 | 2.0199 | 0.2202 | 2.0199 | 1.4212 |
| No log | 0.6 | 18 | 1.9514 | 0.1524 | 1.9514 | 1.3969 |
| No log | 0.6667 | 20 | 2.0087 | 0.2385 | 2.0087 | 1.4173 |
| No log | 0.7333 | 22 | 2.0862 | 0.2149 | 2.0862 | 1.4444 |
| No log | 0.8 | 24 | 2.1208 | 0.2290 | 2.1208 | 1.4563 |
| No log | 0.8667 | 26 | 2.1863 | 0.1765 | 2.1863 | 1.4786 |
| No log | 0.9333 | 28 | 2.1570 | 0.2222 | 2.1570 | 1.4687 |
| No log | 1.0 | 30 | 2.0755 | 0.2880 | 2.0755 | 1.4407 |
| No log | 1.0667 | 32 | 2.1260 | 0.2482 | 2.1260 | 1.4581 |
| No log | 1.1333 | 34 | 2.2296 | 0.1259 | 2.2296 | 1.4932 |
| No log | 1.2 | 36 | 2.1715 | 0.2143 | 2.1715 | 1.4736 |
| No log | 1.2667 | 38 | 1.8290 | 0.3664 | 1.8290 | 1.3524 |
| No log | 1.3333 | 40 | 1.5745 | 0.2037 | 1.5745 | 1.2548 |
| No log | 1.4 | 42 | 1.5722 | 0.1538 | 1.5722 | 1.2539 |
| No log | 1.4667 | 44 | 1.5657 | 0.1905 | 1.5657 | 1.2513 |
| No log | 1.5333 | 46 | 1.6085 | 0.2018 | 1.6085 | 1.2682 |
| No log | 1.6 | 48 | 1.7625 | 0.2735 | 1.7625 | 1.3276 |
| No log | 1.6667 | 50 | 1.8822 | 0.2564 | 1.8822 | 1.3719 |
| No log | 1.7333 | 52 | 1.7670 | 0.2261 | 1.7670 | 1.3293 |
| No log | 1.8 | 54 | 1.6237 | 0.1835 | 1.6237 | 1.2742 |
| No log | 1.8667 | 56 | 1.5260 | 0.1121 | 1.5260 | 1.2353 |
| No log | 1.9333 | 58 | 1.4823 | 0.1667 | 1.4823 | 1.2175 |
| No log | 2.0 | 60 | 1.3943 | 0.4068 | 1.3943 | 1.1808 |
| No log | 2.0667 | 62 | 1.3984 | 0.5246 | 1.3984 | 1.1825 |
| No log | 2.1333 | 64 | 1.3853 | 0.4538 | 1.3853 | 1.1770 |
| No log | 2.2 | 66 | 1.3689 | 0.4590 | 1.3689 | 1.1700 |
| No log | 2.2667 | 68 | 1.4124 | 0.5039 | 1.4124 | 1.1884 |
| No log | 2.3333 | 70 | 1.4156 | 0.4921 | 1.4156 | 1.1898 |
| No log | 2.4 | 72 | 1.3126 | 0.4921 | 1.3126 | 1.1457 |
| No log | 2.4667 | 74 | 1.2708 | 0.5197 | 1.2708 | 1.1273 |
| No log | 2.5333 | 76 | 1.2452 | 0.4567 | 1.2452 | 1.1159 |
| No log | 2.6 | 78 | 1.2831 | 0.4962 | 1.2831 | 1.1327 |
| No log | 2.6667 | 80 | 1.4546 | 0.3796 | 1.4546 | 1.2061 |
| No log | 2.7333 | 82 | 1.3924 | 0.4296 | 1.3924 | 1.1800 |
| No log | 2.8 | 84 | 1.1919 | 0.5152 | 1.1919 | 1.0918 |
| No log | 2.8667 | 86 | 1.2555 | 0.4516 | 1.2555 | 1.1205 |
| No log | 2.9333 | 88 | 1.3553 | 0.3968 | 1.3553 | 1.1642 |
| No log | 3.0 | 90 | 1.3788 | 0.3566 | 1.3788 | 1.1742 |
| No log | 3.0667 | 92 | 1.2290 | 0.4923 | 1.2290 | 1.1086 |
| No log | 3.1333 | 94 | 1.0818 | 0.5669 | 1.0818 | 1.0401 |
| No log | 3.2 | 96 | 1.1048 | 0.625 | 1.1048 | 1.0511 |
| No log | 3.2667 | 98 | 1.1096 | 0.5827 | 1.1096 | 1.0534 |
| No log | 3.3333 | 100 | 1.1138 | 0.5984 | 1.1138 | 1.0554 |
| No log | 3.4 | 102 | 1.1352 | 0.4885 | 1.1352 | 1.0655 |
| No log | 3.4667 | 104 | 1.1264 | 0.5147 | 1.1264 | 1.0613 |
| No log | 3.5333 | 106 | 1.1455 | 0.5915 | 1.1455 | 1.0703 |
| No log | 3.6 | 108 | 1.1672 | 0.5493 | 1.1672 | 1.0804 |
| No log | 3.6667 | 110 | 1.1720 | 0.5248 | 1.1720 | 1.0826 |
| No log | 3.7333 | 112 | 1.1440 | 0.5373 | 1.1440 | 1.0696 |
| No log | 3.8 | 114 | 1.1804 | 0.4444 | 1.1804 | 1.0864 |
| No log | 3.8667 | 116 | 1.4514 | 0.4094 | 1.4514 | 1.2047 |
| No log | 3.9333 | 118 | 1.4380 | 0.4308 | 1.4380 | 1.1992 |
| No log | 4.0 | 120 | 1.2178 | 0.4531 | 1.2178 | 1.1036 |
| No log | 4.0667 | 122 | 1.0509 | 0.4806 | 1.0509 | 1.0251 |
| No log | 4.1333 | 124 | 1.0363 | 0.6714 | 1.0363 | 1.0180 |
| No log | 4.2 | 126 | 1.0397 | 0.6383 | 1.0397 | 1.0196 |
| No log | 4.2667 | 128 | 1.0792 | 0.5942 | 1.0792 | 1.0389 |
| No log | 4.3333 | 130 | 1.1207 | 0.5507 | 1.1207 | 1.0587 |
| No log | 4.4 | 132 | 1.0399 | 0.6043 | 1.0399 | 1.0198 |
| No log | 4.4667 | 134 | 0.9785 | 0.6519 | 0.9785 | 0.9892 |
| No log | 4.5333 | 136 | 0.9803 | 0.6716 | 0.9803 | 0.9901 |
| No log | 4.6 | 138 | 0.9586 | 0.6515 | 0.9586 | 0.9791 |
| No log | 4.6667 | 140 | 0.9470 | 0.6165 | 0.9470 | 0.9732 |
| No log | 4.7333 | 142 | 0.9438 | 0.6618 | 0.9438 | 0.9715 |
| No log | 4.8 | 144 | 0.9491 | 0.6667 | 0.9491 | 0.9742 |
| No log | 4.8667 | 146 | 0.9628 | 0.6471 | 0.9628 | 0.9812 |
| No log | 4.9333 | 148 | 0.9941 | 0.6 | 0.9941 | 0.9970 |
| No log | 5.0 | 150 | 0.9276 | 0.6667 | 0.9276 | 0.9631 |
| No log | 5.0667 | 152 | 0.8539 | 0.6715 | 0.8539 | 0.9240 |
| No log | 5.1333 | 154 | 0.8150 | 0.6906 | 0.8150 | 0.9028 |
| No log | 5.2 | 156 | 0.7911 | 0.6906 | 0.7911 | 0.8895 |
| No log | 5.2667 | 158 | 0.8080 | 0.6906 | 0.8080 | 0.8989 |
| No log | 5.3333 | 160 | 0.8536 | 0.7172 | 0.8536 | 0.9239 |
| No log | 5.4 | 162 | 0.8746 | 0.6933 | 0.8746 | 0.9352 |
| No log | 5.4667 | 164 | 0.8276 | 0.7467 | 0.8276 | 0.9097 |
| No log | 5.5333 | 166 | 0.7615 | 0.7 | 0.7615 | 0.8726 |
| No log | 5.6 | 168 | 0.7820 | 0.6765 | 0.7820 | 0.8843 |
| No log | 5.6667 | 170 | 0.7958 | 0.7101 | 0.7958 | 0.8921 |
| No log | 5.7333 | 172 | 0.8349 | 0.6567 | 0.8349 | 0.9137 |
| No log | 5.8 | 174 | 0.8914 | 0.6212 | 0.8914 | 0.9441 |
| No log | 5.8667 | 176 | 0.9800 | 0.5758 | 0.9800 | 0.9900 |
| No log | 5.9333 | 178 | 1.0149 | 0.6338 | 1.0149 | 1.0074 |
| No log | 6.0 | 180 | 0.9203 | 0.6197 | 0.9203 | 0.9593 |
| No log | 6.0667 | 182 | 0.8297 | 0.6479 | 0.8297 | 0.9109 |
| No log | 6.1333 | 184 | 0.8213 | 0.6619 | 0.8213 | 0.9063 |
| No log | 6.2 | 186 | 0.8488 | 0.6763 | 0.8488 | 0.9213 |
| No log | 6.2667 | 188 | 0.8560 | 0.6569 | 0.8560 | 0.9252 |
| No log | 6.3333 | 190 | 0.8714 | 0.6667 | 0.8714 | 0.9335 |
| No log | 6.4 | 192 | 0.8683 | 0.6418 | 0.8683 | 0.9318 |
| No log | 6.4667 | 194 | 0.8553 | 0.6667 | 0.8553 | 0.9248 |
| No log | 6.5333 | 196 | 0.8397 | 0.6714 | 0.8397 | 0.9163 |
| No log | 6.6 | 198 | 0.8242 | 0.6944 | 0.8242 | 0.9079 |
| No log | 6.6667 | 200 | 0.8093 | 0.6619 | 0.8093 | 0.8996 |
| No log | 6.7333 | 202 | 0.7866 | 0.6761 | 0.7866 | 0.8869 |
| No log | 6.8 | 204 | 0.8119 | 0.6809 | 0.8119 | 0.9011 |
| No log | 6.8667 | 206 | 0.8861 | 0.6714 | 0.8861 | 0.9414 |
| No log | 6.9333 | 208 | 0.8475 | 0.6906 | 0.8475 | 0.9206 |
| No log | 7.0 | 210 | 0.8426 | 0.6667 | 0.8426 | 0.9179 |
| No log | 7.0667 | 212 | 0.8693 | 0.6857 | 0.8693 | 0.9323 |
| No log | 7.1333 | 214 | 0.7836 | 0.7042 | 0.7836 | 0.8852 |
| No log | 7.2 | 216 | 0.6872 | 0.7586 | 0.6872 | 0.8290 |
| No log | 7.2667 | 218 | 0.6947 | 0.7432 | 0.6947 | 0.8335 |
| No log | 7.3333 | 220 | 0.7199 | 0.7273 | 0.7199 | 0.8485 |
| No log | 7.4 | 222 | 0.7116 | 0.7361 | 0.7116 | 0.8436 |
| No log | 7.4667 | 224 | 0.6817 | 0.75 | 0.6817 | 0.8257 |
| No log | 7.5333 | 226 | 0.6782 | 0.7724 | 0.6782 | 0.8235 |
| No log | 7.6 | 228 | 0.6710 | 0.7763 | 0.6710 | 0.8191 |
| No log | 7.6667 | 230 | 0.6584 | 0.7517 | 0.6584 | 0.8114 |
| No log | 7.7333 | 232 | 0.6552 | 0.76 | 0.6552 | 0.8094 |
| No log | 7.8 | 234 | 0.6526 | 0.76 | 0.6526 | 0.8078 |
| No log | 7.8667 | 236 | 0.6984 | 0.7383 | 0.6984 | 0.8357 |
| No log | 7.9333 | 238 | 0.6958 | 0.7143 | 0.6958 | 0.8342 |
| No log | 8.0 | 240 | 0.7198 | 0.6901 | 0.7198 | 0.8484 |
| No log | 8.0667 | 242 | 0.7708 | 0.6993 | 0.7708 | 0.8780 |
| No log | 8.1333 | 244 | 0.7601 | 0.6809 | 0.7601 | 0.8718 |
| No log | 8.2 | 246 | 0.7406 | 0.7172 | 0.7406 | 0.8606 |
| No log | 8.2667 | 248 | 0.7799 | 0.7368 | 0.7799 | 0.8831 |
| No log | 8.3333 | 250 | 0.8346 | 0.6986 | 0.8346 | 0.9136 |
| No log | 8.4 | 252 | 0.8009 | 0.7248 | 0.8009 | 0.8949 |
| No log | 8.4667 | 254 | 0.7526 | 0.7397 | 0.7526 | 0.8675 |
| No log | 8.5333 | 256 | 0.7966 | 0.7075 | 0.7966 | 0.8925 |
| No log | 8.6 | 258 | 0.8879 | 0.6950 | 0.8879 | 0.9423 |
| No log | 8.6667 | 260 | 0.8888 | 0.6569 | 0.8888 | 0.9428 |
| No log | 8.7333 | 262 | 0.8749 | 0.6316 | 0.8749 | 0.9353 |
| No log | 8.8 | 264 | 0.8724 | 0.6567 | 0.8724 | 0.9340 |
| No log | 8.8667 | 266 | 0.8603 | 0.6667 | 0.8603 | 0.9275 |
| No log | 8.9333 | 268 | 0.8433 | 0.6569 | 0.8433 | 0.9183 |
| No log | 9.0 | 270 | 0.8726 | 0.6667 | 0.8726 | 0.9341 |
| No log | 9.0667 | 272 | 0.9000 | 0.6471 | 0.9000 | 0.9487 |
| No log | 9.1333 | 274 | 0.8992 | 0.6569 | 0.8992 | 0.9482 |
| No log | 9.2 | 276 | 0.9361 | 0.6522 | 0.9361 | 0.9675 |
| No log | 9.2667 | 278 | 0.9962 | 0.6286 | 0.9962 | 0.9981 |
| No log | 9.3333 | 280 | 0.9921 | 0.5957 | 0.9921 | 0.9961 |
| No log | 9.4 | 282 | 0.9169 | 0.6475 | 0.9169 | 0.9576 |
| No log | 9.4667 | 284 | 0.9078 | 0.6165 | 0.9078 | 0.9528 |
| No log | 9.5333 | 286 | 0.9436 | 0.5954 | 0.9436 | 0.9714 |
| No log | 9.6 | 288 | 1.0026 | 0.5736 | 1.0026 | 1.0013 |
| No log | 9.6667 | 290 | 0.9982 | 0.5758 | 0.9982 | 0.9991 |
| No log | 9.7333 | 292 | 1.0190 | 0.5496 | 1.0190 | 1.0095 |
| No log | 9.8 | 294 | 0.9988 | 0.5714 | 0.9988 | 0.9994 |
| No log | 9.8667 | 296 | 0.9921 | 0.6277 | 0.9921 | 0.9961 |
| No log | 9.9333 | 298 | 1.0008 | 0.6331 | 1.0008 | 1.0004 |
| No log | 10.0 | 300 | 0.9621 | 0.6667 | 0.9621 | 0.9809 |
| No log | 10.0667 | 302 | 0.9309 | 0.6806 | 0.9309 | 0.9648 |
| No log | 10.1333 | 304 | 0.9218 | 0.6475 | 0.9218 | 0.9601 |
| No log | 10.2 | 306 | 0.8964 | 0.6809 | 0.8964 | 0.9468 |
| No log | 10.2667 | 308 | 0.9159 | 0.6667 | 0.9159 | 0.9571 |
| No log | 10.3333 | 310 | 0.9151 | 0.7007 | 0.9151 | 0.9566 |
| No log | 10.4 | 312 | 0.9286 | 0.6765 | 0.9286 | 0.9637 |
| No log | 10.4667 | 314 | 0.9698 | 0.5970 | 0.9698 | 0.9848 |
| No log | 10.5333 | 316 | 0.9673 | 0.6324 | 0.9673 | 0.9835 |
| No log | 10.6 | 318 | 0.9737 | 0.6074 | 0.9737 | 0.9868 |
| No log | 10.6667 | 320 | 0.9506 | 0.6043 | 0.9506 | 0.9750 |
| No log | 10.7333 | 322 | 0.8865 | 0.6806 | 0.8865 | 0.9415 |
| No log | 10.8 | 324 | 0.8417 | 0.6713 | 0.8417 | 0.9174 |
| No log | 10.8667 | 326 | 0.8854 | 0.6423 | 0.8854 | 0.9410 |
| No log | 10.9333 | 328 | 0.8909 | 0.6269 | 0.8909 | 0.9438 |
| No log | 11.0 | 330 | 0.8579 | 0.6119 | 0.8579 | 0.9262 |
| No log | 11.0667 | 332 | 0.8578 | 0.6316 | 0.8578 | 0.9262 |
| No log | 11.1333 | 334 | 0.8743 | 0.6471 | 0.8743 | 0.9350 |
| No log | 11.2 | 336 | 0.8585 | 0.6519 | 0.8585 | 0.9266 |
| No log | 11.2667 | 338 | 0.8599 | 0.6074 | 0.8599 | 0.9273 |
| No log | 11.3333 | 340 | 0.8797 | 0.6061 | 0.8797 | 0.9379 |
| No log | 11.4 | 342 | 0.8881 | 0.6074 | 0.8881 | 0.9424 |
| No log | 11.4667 | 344 | 0.9318 | 0.6471 | 0.9318 | 0.9653 |
| No log | 11.5333 | 346 | 1.0114 | 0.6471 | 1.0114 | 1.0057 |
| No log | 11.6 | 348 | 1.0028 | 0.6370 | 1.0028 | 1.0014 |
| No log | 11.6667 | 350 | 0.9669 | 0.6047 | 0.9669 | 0.9833 |
| No log | 11.7333 | 352 | 0.9689 | 0.5891 | 0.9689 | 0.9843 |
| No log | 11.8 | 354 | 0.9879 | 0.5891 | 0.9879 | 0.9939 |
| No log | 11.8667 | 356 | 0.9527 | 0.5692 | 0.9527 | 0.9761 |
| No log | 11.9333 | 358 | 0.9169 | 0.6212 | 0.9169 | 0.9576 |
| No log | 12.0 | 360 | 0.9973 | 0.6316 | 0.9973 | 0.9987 |
| No log | 12.0667 | 362 | 1.1034 | 0.5493 | 1.1034 | 1.0504 |
| No log | 12.1333 | 364 | 1.0658 | 0.5775 | 1.0658 | 1.0324 |
| No log | 12.2 | 366 | 0.9374 | 0.6364 | 0.9374 | 0.9682 |
| No log | 12.2667 | 368 | 0.8637 | 0.6815 | 0.8637 | 0.9293 |
| No log | 12.3333 | 370 | 0.8617 | 0.6479 | 0.8617 | 0.9283 |
| No log | 12.4 | 372 | 0.8498 | 0.6901 | 0.8498 | 0.9218 |
| No log | 12.4667 | 374 | 0.7972 | 0.6573 | 0.7972 | 0.8929 |
| No log | 12.5333 | 376 | 0.8219 | 0.6897 | 0.8219 | 0.9066 |
| No log | 12.6 | 378 | 0.8916 | 0.6579 | 0.8916 | 0.9442 |
| No log | 12.6667 | 380 | 0.8249 | 0.7083 | 0.8249 | 0.9083 |
| No log | 12.7333 | 382 | 0.7460 | 0.6857 | 0.7460 | 0.8637 |
| No log | 12.8 | 384 | 0.7436 | 0.6957 | 0.7436 | 0.8623 |
| No log | 12.8667 | 386 | 0.7591 | 0.6715 | 0.7591 | 0.8713 |
| No log | 12.9333 | 388 | 0.7843 | 0.6667 | 0.7843 | 0.8856 |
| No log | 13.0 | 390 | 0.8075 | 0.6212 | 0.8075 | 0.8986 |
| No log | 13.0667 | 392 | 0.8258 | 0.5954 | 0.8258 | 0.9087 |
| No log | 13.1333 | 394 | 0.8698 | 0.6466 | 0.8698 | 0.9326 |
| No log | 13.2 | 396 | 0.8943 | 0.6308 | 0.8943 | 0.9457 |
| No log | 13.2667 | 398 | 0.8987 | 0.6357 | 0.8987 | 0.9480 |
| No log | 13.3333 | 400 | 0.8603 | 0.6308 | 0.8603 | 0.9275 |
| No log | 13.4 | 402 | 0.8415 | 0.6308 | 0.8415 | 0.9173 |
| No log | 13.4667 | 404 | 0.8322 | 0.6471 | 0.8322 | 0.9123 |
| No log | 13.5333 | 406 | 0.8203 | 0.6471 | 0.8203 | 0.9057 |
| No log | 13.6 | 408 | 0.7989 | 0.6569 | 0.7989 | 0.8938 |
| No log | 13.6667 | 410 | 0.7851 | 0.7 | 0.7851 | 0.8861 |
| No log | 13.7333 | 412 | 0.8431 | 0.6377 | 0.8431 | 0.9182 |
| No log | 13.8 | 414 | 0.8990 | 0.6377 | 0.8990 | 0.9482 |
| No log | 13.8667 | 416 | 0.8694 | 0.6567 | 0.8694 | 0.9324 |
| No log | 13.9333 | 418 | 0.8679 | 0.6716 | 0.8679 | 0.9316 |
| No log | 14.0 | 420 | 0.8970 | 0.6618 | 0.8970 | 0.9471 |
| No log | 14.0667 | 422 | 0.8970 | 0.6466 | 0.8970 | 0.9471 |
| No log | 14.1333 | 424 | 0.8627 | 0.6519 | 0.8627 | 0.9288 |
| No log | 14.2 | 426 | 0.8194 | 0.6519 | 0.8194 | 0.9052 |
| No log | 14.2667 | 428 | 0.7857 | 0.6519 | 0.7857 | 0.8864 |
| No log | 14.3333 | 430 | 0.7905 | 0.6519 | 0.7905 | 0.8891 |
| No log | 14.4 | 432 | 0.8070 | 0.6906 | 0.8070 | 0.8983 |
| No log | 14.4667 | 434 | 0.7724 | 0.7101 | 0.7724 | 0.8789 |
| No log | 14.5333 | 436 | 0.7886 | 0.6861 | 0.7886 | 0.8880 |
| No log | 14.6 | 438 | 0.8517 | 0.6567 | 0.8517 | 0.9229 |
| No log | 14.6667 | 440 | 0.9041 | 0.6475 | 0.9041 | 0.9508 |
| No log | 14.7333 | 442 | 0.8426 | 0.6515 | 0.8426 | 0.9179 |
| No log | 14.8 | 444 | 0.7808 | 0.6615 | 0.7808 | 0.8836 |
| No log | 14.8667 | 446 | 0.7731 | 0.6308 | 0.7731 | 0.8792 |
| No log | 14.9333 | 448 | 0.7678 | 0.6308 | 0.7678 | 0.8763 |
| No log | 15.0 | 450 | 0.7692 | 0.6466 | 0.7692 | 0.8771 |
| No log | 15.0667 | 452 | 0.7853 | 0.6861 | 0.7853 | 0.8862 |
| No log | 15.1333 | 454 | 0.8193 | 0.7183 | 0.8193 | 0.9052 |
| No log | 15.2 | 456 | 0.8678 | 0.6944 | 0.8678 | 0.9316 |
| No log | 15.2667 | 458 | 0.8625 | 0.6569 | 0.8625 | 0.9287 |
| No log | 15.3333 | 460 | 0.8177 | 0.6462 | 0.8177 | 0.9043 |
| No log | 15.4 | 462 | 0.8175 | 0.6718 | 0.8175 | 0.9042 |
| No log | 15.4667 | 464 | 0.8417 | 0.6562 | 0.8417 | 0.9174 |
| No log | 15.5333 | 466 | 0.8603 | 0.6202 | 0.8603 | 0.9275 |
| No log | 15.6 | 468 | 0.8403 | 0.6364 | 0.8403 | 0.9167 |
| No log | 15.6667 | 470 | 0.8216 | 0.6565 | 0.8216 | 0.9064 |
| No log | 15.7333 | 472 | 0.8204 | 0.6815 | 0.8204 | 0.9057 |
| No log | 15.8 | 474 | 0.8042 | 0.6519 | 0.8042 | 0.8968 |
| No log | 15.8667 | 476 | 0.8162 | 0.6815 | 0.8162 | 0.9035 |
| No log | 15.9333 | 478 | 0.8446 | 0.6316 | 0.8446 | 0.9190 |
| No log | 16.0 | 480 | 0.9192 | 0.6412 | 0.9192 | 0.9587 |
| No log | 16.0667 | 482 | 0.9233 | 0.6047 | 0.9233 | 0.9609 |
| No log | 16.1333 | 484 | 0.8958 | 0.6565 | 0.8958 | 0.9465 |
| No log | 16.2 | 486 | 0.8778 | 0.6667 | 0.8778 | 0.9369 |
| No log | 16.2667 | 488 | 0.8988 | 0.6364 | 0.8988 | 0.9481 |
| No log | 16.3333 | 490 | 0.9150 | 0.5846 | 0.9150 | 0.9566 |
| No log | 16.4 | 492 | 0.9156 | 0.6364 | 0.9156 | 0.9569 |
| No log | 16.4667 | 494 | 0.9117 | 0.6260 | 0.9117 | 0.9548 |
| No log | 16.5333 | 496 | 0.9061 | 0.6667 | 0.9061 | 0.9519 |
| No log | 16.6 | 498 | 0.8507 | 0.6765 | 0.8507 | 0.9223 |
| 0.4292 | 16.6667 | 500 | 0.8238 | 0.7007 | 0.8238 | 0.9076 |
| 0.4292 | 16.7333 | 502 | 0.7972 | 0.7007 | 0.7972 | 0.8929 |
| 0.4292 | 16.8 | 504 | 0.8046 | 0.6567 | 0.8046 | 0.8970 |
| 0.4292 | 16.8667 | 506 | 0.8592 | 0.6364 | 0.8592 | 0.9270 |
| 0.4292 | 16.9333 | 508 | 0.9247 | 0.5984 | 0.9247 | 0.9616 |
| 0.4292 | 17.0 | 510 | 0.9623 | 0.5781 | 0.9623 | 0.9810 |
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_FineTuningAraBERT_run1_AugV5_k6_task1_organization
Base model
aubmindlab/bert-base-arabertv02