Instructions to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k17_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k17_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k17_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k17_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k17_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k17_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: 0.8832
- Qwk: 0.7030
- Mse: 0.8832
- Rmse: 0.9398
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 | 0.0357 | 2 | 2.2479 | 0.0250 | 2.2479 | 1.4993 |
| No log | 0.0714 | 4 | 1.4431 | 0.2480 | 1.4431 | 1.2013 |
| No log | 0.1071 | 6 | 1.5100 | 0.1209 | 1.5100 | 1.2288 |
| No log | 0.1429 | 8 | 1.8075 | 0.2235 | 1.8075 | 1.3444 |
| No log | 0.1786 | 10 | 2.2957 | 0.1632 | 2.2957 | 1.5152 |
| No log | 0.2143 | 12 | 2.2682 | 0.1988 | 2.2682 | 1.5060 |
| No log | 0.25 | 14 | 2.2008 | 0.1950 | 2.2008 | 1.4835 |
| No log | 0.2857 | 16 | 1.8779 | 0.1786 | 1.8779 | 1.3704 |
| No log | 0.3214 | 18 | 1.8393 | 0.1130 | 1.8393 | 1.3562 |
| No log | 0.3571 | 20 | 1.8411 | 0.1573 | 1.8411 | 1.3569 |
| No log | 0.3929 | 22 | 1.9334 | 0.2315 | 1.9334 | 1.3905 |
| No log | 0.4286 | 24 | 1.9163 | 0.2824 | 1.9163 | 1.3843 |
| No log | 0.4643 | 26 | 1.9489 | 0.3026 | 1.9489 | 1.3960 |
| No log | 0.5 | 28 | 2.0296 | 0.2547 | 2.0296 | 1.4246 |
| No log | 0.5357 | 30 | 2.1725 | 0.2421 | 2.1725 | 1.4739 |
| No log | 0.5714 | 32 | 2.0422 | 0.2367 | 2.0422 | 1.4290 |
| No log | 0.6071 | 34 | 1.8270 | 0.2868 | 1.8270 | 1.3517 |
| No log | 0.6429 | 36 | 1.6186 | 0.3673 | 1.6186 | 1.2722 |
| No log | 0.6786 | 38 | 1.4785 | 0.3815 | 1.4785 | 1.2160 |
| No log | 0.7143 | 40 | 1.4320 | 0.3725 | 1.4320 | 1.1966 |
| No log | 0.75 | 42 | 1.4751 | 0.3932 | 1.4751 | 1.2145 |
| No log | 0.7857 | 44 | 1.5879 | 0.3903 | 1.5879 | 1.2601 |
| No log | 0.8214 | 46 | 1.4643 | 0.4125 | 1.4643 | 1.2101 |
| No log | 0.8571 | 48 | 1.4016 | 0.4125 | 1.4016 | 1.1839 |
| No log | 0.8929 | 50 | 1.3806 | 0.4269 | 1.3806 | 1.1750 |
| No log | 0.9286 | 52 | 1.5213 | 0.4025 | 1.5213 | 1.2334 |
| No log | 0.9643 | 54 | 1.2609 | 0.4430 | 1.2609 | 1.1229 |
| No log | 1.0 | 56 | 0.9927 | 0.4778 | 0.9927 | 0.9963 |
| No log | 1.0357 | 58 | 1.1180 | 0.4758 | 1.1180 | 1.0574 |
| No log | 1.0714 | 60 | 1.6603 | 0.5005 | 1.6603 | 1.2885 |
| No log | 1.1071 | 62 | 1.8937 | 0.4802 | 1.8937 | 1.3761 |
| No log | 1.1429 | 64 | 1.5883 | 0.5154 | 1.5883 | 1.2603 |
| No log | 1.1786 | 66 | 1.0759 | 0.5697 | 1.0759 | 1.0373 |
| No log | 1.2143 | 68 | 0.7705 | 0.6253 | 0.7705 | 0.8778 |
| No log | 1.25 | 70 | 0.7475 | 0.6766 | 0.7475 | 0.8646 |
| No log | 1.2857 | 72 | 0.9916 | 0.5964 | 0.9916 | 0.9958 |
| No log | 1.3214 | 74 | 1.8116 | 0.5168 | 1.8116 | 1.3459 |
| No log | 1.3571 | 76 | 2.3836 | 0.4154 | 2.3836 | 1.5439 |
| No log | 1.3929 | 78 | 2.2022 | 0.4737 | 2.2022 | 1.4840 |
| No log | 1.4286 | 80 | 1.3973 | 0.5580 | 1.3973 | 1.1821 |
| No log | 1.4643 | 82 | 0.9180 | 0.5772 | 0.9180 | 0.9581 |
| No log | 1.5 | 84 | 0.8708 | 0.5524 | 0.8708 | 0.9332 |
| No log | 1.5357 | 86 | 0.9721 | 0.5680 | 0.9721 | 0.9859 |
| No log | 1.5714 | 88 | 1.3659 | 0.5452 | 1.3659 | 1.1687 |
| No log | 1.6071 | 90 | 1.7116 | 0.5123 | 1.7116 | 1.3083 |
| No log | 1.6429 | 92 | 1.6654 | 0.5128 | 1.6654 | 1.2905 |
| No log | 1.6786 | 94 | 1.2007 | 0.5596 | 1.2007 | 1.0958 |
| No log | 1.7143 | 96 | 1.0399 | 0.6176 | 1.0399 | 1.0197 |
| No log | 1.75 | 98 | 1.2004 | 0.5538 | 1.2004 | 1.0956 |
| No log | 1.7857 | 100 | 1.6004 | 0.5138 | 1.6004 | 1.2651 |
| No log | 1.8214 | 102 | 1.5690 | 0.5043 | 1.5690 | 1.2526 |
| No log | 1.8571 | 104 | 1.1676 | 0.5595 | 1.1676 | 1.0805 |
| No log | 1.8929 | 106 | 0.9127 | 0.6271 | 0.9127 | 0.9554 |
| No log | 1.9286 | 108 | 0.9660 | 0.6198 | 0.9660 | 0.9829 |
| No log | 1.9643 | 110 | 1.2819 | 0.5720 | 1.2819 | 1.1322 |
| No log | 2.0 | 112 | 1.5373 | 0.5905 | 1.5373 | 1.2399 |
| No log | 2.0357 | 114 | 1.3853 | 0.5859 | 1.3853 | 1.1770 |
| No log | 2.0714 | 116 | 1.0144 | 0.6342 | 1.0144 | 1.0072 |
| No log | 2.1071 | 118 | 0.9580 | 0.6466 | 0.9580 | 0.9788 |
| No log | 2.1429 | 120 | 0.9727 | 0.6622 | 0.9727 | 0.9863 |
| No log | 2.1786 | 122 | 0.9161 | 0.6403 | 0.9161 | 0.9571 |
| No log | 2.2143 | 124 | 0.7332 | 0.7325 | 0.7332 | 0.8562 |
| No log | 2.25 | 126 | 0.7146 | 0.7355 | 0.7146 | 0.8453 |
| No log | 2.2857 | 128 | 0.7194 | 0.7355 | 0.7194 | 0.8482 |
| No log | 2.3214 | 130 | 0.7954 | 0.6813 | 0.7954 | 0.8919 |
| No log | 2.3571 | 132 | 1.0765 | 0.5917 | 1.0765 | 1.0376 |
| No log | 2.3929 | 134 | 1.1948 | 0.5765 | 1.1948 | 1.0931 |
| No log | 2.4286 | 136 | 1.0337 | 0.6160 | 1.0337 | 1.0167 |
| No log | 2.4643 | 138 | 0.8360 | 0.6654 | 0.8360 | 0.9144 |
| No log | 2.5 | 140 | 0.7871 | 0.6798 | 0.7871 | 0.8872 |
| No log | 2.5357 | 142 | 0.8649 | 0.6558 | 0.8649 | 0.9300 |
| No log | 2.5714 | 144 | 1.0452 | 0.6310 | 1.0452 | 1.0224 |
| No log | 2.6071 | 146 | 1.4949 | 0.5875 | 1.4949 | 1.2227 |
| No log | 2.6429 | 148 | 1.8899 | 0.5287 | 1.8899 | 1.3747 |
| No log | 2.6786 | 150 | 1.8140 | 0.5396 | 1.8140 | 1.3468 |
| No log | 2.7143 | 152 | 1.4615 | 0.5519 | 1.4615 | 1.2089 |
| No log | 2.75 | 154 | 1.0322 | 0.5789 | 1.0322 | 1.0159 |
| No log | 2.7857 | 156 | 0.7615 | 0.6629 | 0.7615 | 0.8726 |
| No log | 2.8214 | 158 | 0.7100 | 0.6586 | 0.7100 | 0.8426 |
| No log | 2.8571 | 160 | 0.7166 | 0.6727 | 0.7166 | 0.8465 |
| No log | 2.8929 | 162 | 0.7790 | 0.6431 | 0.7790 | 0.8826 |
| No log | 2.9286 | 164 | 0.8653 | 0.6065 | 0.8653 | 0.9302 |
| No log | 2.9643 | 166 | 1.0937 | 0.5658 | 1.0937 | 1.0458 |
| No log | 3.0 | 168 | 1.4896 | 0.5358 | 1.4896 | 1.2205 |
| No log | 3.0357 | 170 | 1.7033 | 0.5276 | 1.7033 | 1.3051 |
| No log | 3.0714 | 172 | 1.5945 | 0.5491 | 1.5945 | 1.2627 |
| No log | 3.1071 | 174 | 1.2531 | 0.5672 | 1.2531 | 1.1194 |
| No log | 3.1429 | 176 | 0.8907 | 0.6504 | 0.8907 | 0.9438 |
| No log | 3.1786 | 178 | 0.7638 | 0.6680 | 0.7638 | 0.8740 |
| No log | 3.2143 | 180 | 0.7083 | 0.6508 | 0.7083 | 0.8416 |
| No log | 3.25 | 182 | 0.7325 | 0.6508 | 0.7325 | 0.8559 |
| No log | 3.2857 | 184 | 0.8267 | 0.6509 | 0.8267 | 0.9092 |
| No log | 3.3214 | 186 | 1.0306 | 0.6010 | 1.0306 | 1.0152 |
| No log | 3.3571 | 188 | 1.2062 | 0.6059 | 1.2062 | 1.0983 |
| No log | 3.3929 | 190 | 1.1815 | 0.6096 | 1.1815 | 1.0870 |
| No log | 3.4286 | 192 | 1.0914 | 0.6045 | 1.0914 | 1.0447 |
| No log | 3.4643 | 194 | 0.9147 | 0.6253 | 0.9147 | 0.9564 |
| No log | 3.5 | 196 | 0.8392 | 0.6295 | 0.8392 | 0.9161 |
| No log | 3.5357 | 198 | 0.8423 | 0.6379 | 0.8423 | 0.9178 |
| No log | 3.5714 | 200 | 0.9201 | 0.6346 | 0.9201 | 0.9592 |
| No log | 3.6071 | 202 | 1.0619 | 0.6247 | 1.0619 | 1.0305 |
| No log | 3.6429 | 204 | 1.3131 | 0.6145 | 1.3131 | 1.1459 |
| No log | 3.6786 | 206 | 1.4415 | 0.6075 | 1.4415 | 1.2006 |
| No log | 3.7143 | 208 | 1.3875 | 0.6170 | 1.3875 | 1.1779 |
| No log | 3.75 | 210 | 1.1335 | 0.6272 | 1.1335 | 1.0647 |
| No log | 3.7857 | 212 | 0.9012 | 0.6514 | 0.9012 | 0.9493 |
| No log | 3.8214 | 214 | 0.7170 | 0.7392 | 0.7170 | 0.8467 |
| No log | 3.8571 | 216 | 0.6754 | 0.7685 | 0.6754 | 0.8218 |
| No log | 3.8929 | 218 | 0.6980 | 0.7507 | 0.6980 | 0.8355 |
| No log | 3.9286 | 220 | 0.8058 | 0.7041 | 0.8058 | 0.8977 |
| No log | 3.9643 | 222 | 1.0089 | 0.6360 | 1.0089 | 1.0044 |
| No log | 4.0 | 224 | 1.1224 | 0.6321 | 1.1224 | 1.0594 |
| No log | 4.0357 | 226 | 1.1260 | 0.6264 | 1.1260 | 1.0611 |
| No log | 4.0714 | 228 | 1.0936 | 0.6381 | 1.0936 | 1.0457 |
| No log | 4.1071 | 230 | 1.0442 | 0.6364 | 1.0442 | 1.0219 |
| No log | 4.1429 | 232 | 1.0712 | 0.6166 | 1.0712 | 1.0350 |
| No log | 4.1786 | 234 | 1.1824 | 0.6107 | 1.1824 | 1.0874 |
| No log | 4.2143 | 236 | 1.2375 | 0.6136 | 1.2375 | 1.1124 |
| No log | 4.25 | 238 | 1.1800 | 0.6122 | 1.1800 | 1.0863 |
| No log | 4.2857 | 240 | 1.0070 | 0.6323 | 1.0070 | 1.0035 |
| No log | 4.3214 | 242 | 0.8073 | 0.7022 | 0.8073 | 0.8985 |
| No log | 4.3571 | 244 | 0.7073 | 0.7698 | 0.7073 | 0.8410 |
| No log | 4.3929 | 246 | 0.7155 | 0.7544 | 0.7155 | 0.8459 |
| No log | 4.4286 | 248 | 0.7921 | 0.7476 | 0.7921 | 0.8900 |
| No log | 4.4643 | 250 | 0.8279 | 0.7307 | 0.8279 | 0.9099 |
| No log | 4.5 | 252 | 0.8471 | 0.7116 | 0.8471 | 0.9204 |
| No log | 4.5357 | 254 | 0.8538 | 0.7032 | 0.8538 | 0.9240 |
| No log | 4.5714 | 256 | 0.8041 | 0.6960 | 0.8041 | 0.8967 |
| No log | 4.6071 | 258 | 0.7328 | 0.7074 | 0.7328 | 0.8560 |
| No log | 4.6429 | 260 | 0.7208 | 0.7253 | 0.7208 | 0.8490 |
| No log | 4.6786 | 262 | 0.7040 | 0.7383 | 0.7040 | 0.8390 |
| No log | 4.7143 | 264 | 0.6707 | 0.7530 | 0.6707 | 0.8190 |
| No log | 4.75 | 266 | 0.6547 | 0.7555 | 0.6547 | 0.8091 |
| No log | 4.7857 | 268 | 0.6605 | 0.7627 | 0.6605 | 0.8127 |
| No log | 4.8214 | 270 | 0.7358 | 0.7447 | 0.7358 | 0.8578 |
| No log | 4.8571 | 272 | 0.8176 | 0.7011 | 0.8176 | 0.9042 |
| No log | 4.8929 | 274 | 0.7879 | 0.7152 | 0.7879 | 0.8876 |
| No log | 4.9286 | 276 | 0.6967 | 0.7686 | 0.6967 | 0.8347 |
| No log | 4.9643 | 278 | 0.6621 | 0.7617 | 0.6621 | 0.8137 |
| No log | 5.0 | 280 | 0.6654 | 0.7425 | 0.6654 | 0.8157 |
| No log | 5.0357 | 282 | 0.6956 | 0.7590 | 0.6956 | 0.8340 |
| No log | 5.0714 | 284 | 0.7827 | 0.7120 | 0.7827 | 0.8847 |
| No log | 5.1071 | 286 | 0.9205 | 0.6804 | 0.9205 | 0.9594 |
| No log | 5.1429 | 288 | 0.9445 | 0.6804 | 0.9445 | 0.9718 |
| No log | 5.1786 | 290 | 0.8854 | 0.6930 | 0.8854 | 0.9410 |
| No log | 5.2143 | 292 | 0.9062 | 0.6804 | 0.9062 | 0.9520 |
| No log | 5.25 | 294 | 0.9021 | 0.6804 | 0.9021 | 0.9498 |
| No log | 5.2857 | 296 | 0.8089 | 0.6991 | 0.8089 | 0.8994 |
| No log | 5.3214 | 298 | 0.7821 | 0.7162 | 0.7821 | 0.8844 |
| No log | 5.3571 | 300 | 0.8422 | 0.6859 | 0.8422 | 0.9177 |
| No log | 5.3929 | 302 | 0.9411 | 0.6768 | 0.9411 | 0.9701 |
| No log | 5.4286 | 304 | 0.9765 | 0.6732 | 0.9765 | 0.9882 |
| No log | 5.4643 | 306 | 0.9435 | 0.6768 | 0.9435 | 0.9713 |
| No log | 5.5 | 308 | 0.9229 | 0.6717 | 0.9229 | 0.9607 |
| No log | 5.5357 | 310 | 0.8880 | 0.6703 | 0.8880 | 0.9424 |
| No log | 5.5714 | 312 | 0.8547 | 0.6832 | 0.8547 | 0.9245 |
| No log | 5.6071 | 314 | 0.8275 | 0.6759 | 0.8275 | 0.9096 |
| No log | 5.6429 | 316 | 0.8080 | 0.6964 | 0.8080 | 0.8989 |
| No log | 5.6786 | 318 | 0.8459 | 0.6815 | 0.8459 | 0.9198 |
| No log | 5.7143 | 320 | 0.9257 | 0.6537 | 0.9257 | 0.9621 |
| No log | 5.75 | 322 | 1.0598 | 0.6027 | 1.0598 | 1.0295 |
| No log | 5.7857 | 324 | 1.2571 | 0.6010 | 1.2571 | 1.1212 |
| No log | 5.8214 | 326 | 1.3308 | 0.6051 | 1.3308 | 1.1536 |
| No log | 5.8571 | 328 | 1.2935 | 0.6037 | 1.2935 | 1.1373 |
| No log | 5.8929 | 330 | 1.1697 | 0.6142 | 1.1697 | 1.0815 |
| No log | 5.9286 | 332 | 1.0143 | 0.6607 | 1.0143 | 1.0071 |
| No log | 5.9643 | 334 | 0.9327 | 0.6666 | 0.9327 | 0.9658 |
| No log | 6.0 | 336 | 0.9114 | 0.6719 | 0.9114 | 0.9547 |
| No log | 6.0357 | 338 | 0.9848 | 0.6586 | 0.9848 | 0.9924 |
| No log | 6.0714 | 340 | 1.0819 | 0.6404 | 1.0819 | 1.0401 |
| No log | 6.1071 | 342 | 1.1425 | 0.6204 | 1.1425 | 1.0689 |
| No log | 6.1429 | 344 | 1.1087 | 0.6256 | 1.1087 | 1.0530 |
| No log | 6.1786 | 346 | 1.0239 | 0.6493 | 1.0239 | 1.0119 |
| No log | 6.2143 | 348 | 0.9204 | 0.6549 | 0.9204 | 0.9594 |
| No log | 6.25 | 350 | 0.8383 | 0.6936 | 0.8383 | 0.9156 |
| No log | 6.2857 | 352 | 0.8147 | 0.7041 | 0.8147 | 0.9026 |
| No log | 6.3214 | 354 | 0.8350 | 0.6949 | 0.8350 | 0.9138 |
| No log | 6.3571 | 356 | 0.8290 | 0.6962 | 0.8290 | 0.9105 |
| No log | 6.3929 | 358 | 0.8326 | 0.6916 | 0.8326 | 0.9125 |
| No log | 6.4286 | 360 | 0.8704 | 0.6630 | 0.8704 | 0.9329 |
| No log | 6.4643 | 362 | 0.9067 | 0.6550 | 0.9067 | 0.9522 |
| No log | 6.5 | 364 | 0.9291 | 0.6520 | 0.9291 | 0.9639 |
| No log | 6.5357 | 366 | 0.9078 | 0.6680 | 0.9078 | 0.9528 |
| No log | 6.5714 | 368 | 0.8287 | 0.6752 | 0.8287 | 0.9103 |
| No log | 6.6071 | 370 | 0.7610 | 0.7248 | 0.7610 | 0.8724 |
| No log | 6.6429 | 372 | 0.7451 | 0.7289 | 0.7451 | 0.8632 |
| No log | 6.6786 | 374 | 0.7353 | 0.7289 | 0.7353 | 0.8575 |
| No log | 6.7143 | 376 | 0.7669 | 0.7343 | 0.7669 | 0.8758 |
| No log | 6.75 | 378 | 0.8640 | 0.6951 | 0.8640 | 0.9295 |
| No log | 6.7857 | 380 | 0.9243 | 0.6743 | 0.9243 | 0.9614 |
| No log | 6.8214 | 382 | 0.9280 | 0.6666 | 0.9280 | 0.9633 |
| No log | 6.8571 | 384 | 0.9089 | 0.6697 | 0.9089 | 0.9533 |
| No log | 6.8929 | 386 | 0.8749 | 0.6857 | 0.8749 | 0.9354 |
| No log | 6.9286 | 388 | 0.8270 | 0.7190 | 0.8270 | 0.9094 |
| No log | 6.9643 | 390 | 0.8356 | 0.7077 | 0.8356 | 0.9141 |
| No log | 7.0 | 392 | 0.8641 | 0.6951 | 0.8641 | 0.9296 |
| No log | 7.0357 | 394 | 0.8656 | 0.6885 | 0.8656 | 0.9304 |
| No log | 7.0714 | 396 | 0.8491 | 0.7012 | 0.8491 | 0.9215 |
| No log | 7.1071 | 398 | 0.8428 | 0.7122 | 0.8428 | 0.9180 |
| No log | 7.1429 | 400 | 0.8727 | 0.6923 | 0.8727 | 0.9342 |
| No log | 7.1786 | 402 | 0.8986 | 0.6938 | 0.8986 | 0.9480 |
| No log | 7.2143 | 404 | 0.9336 | 0.6688 | 0.9336 | 0.9663 |
| No log | 7.25 | 406 | 0.9582 | 0.6726 | 0.9582 | 0.9789 |
| No log | 7.2857 | 408 | 0.9454 | 0.6651 | 0.9454 | 0.9723 |
| No log | 7.3214 | 410 | 0.9099 | 0.6743 | 0.9099 | 0.9539 |
| No log | 7.3571 | 412 | 0.8930 | 0.6868 | 0.8930 | 0.9450 |
| No log | 7.3929 | 414 | 0.8503 | 0.7103 | 0.8503 | 0.9221 |
| No log | 7.4286 | 416 | 0.8327 | 0.7263 | 0.8327 | 0.9125 |
| No log | 7.4643 | 418 | 0.8491 | 0.7152 | 0.8491 | 0.9215 |
| No log | 7.5 | 420 | 0.8780 | 0.7062 | 0.8780 | 0.9370 |
| No log | 7.5357 | 422 | 0.9161 | 0.6727 | 0.9161 | 0.9572 |
| No log | 7.5714 | 424 | 0.9300 | 0.6628 | 0.9300 | 0.9644 |
| No log | 7.6071 | 426 | 0.9802 | 0.6644 | 0.9802 | 0.9901 |
| No log | 7.6429 | 428 | 1.0020 | 0.6652 | 1.0020 | 1.0010 |
| No log | 7.6786 | 430 | 1.0068 | 0.6652 | 1.0068 | 1.0034 |
| No log | 7.7143 | 432 | 0.9919 | 0.6652 | 0.9919 | 0.9960 |
| No log | 7.75 | 434 | 0.9386 | 0.6809 | 0.9386 | 0.9688 |
| No log | 7.7857 | 436 | 0.8695 | 0.6960 | 0.8695 | 0.9324 |
| No log | 7.8214 | 438 | 0.8146 | 0.7249 | 0.8146 | 0.9026 |
| No log | 7.8571 | 440 | 0.7814 | 0.7323 | 0.7814 | 0.8840 |
| No log | 7.8929 | 442 | 0.7830 | 0.7248 | 0.7830 | 0.8849 |
| No log | 7.9286 | 444 | 0.8131 | 0.7019 | 0.8131 | 0.9017 |
| No log | 7.9643 | 446 | 0.8196 | 0.7019 | 0.8196 | 0.9053 |
| No log | 8.0 | 448 | 0.8423 | 0.7000 | 0.8423 | 0.9178 |
| No log | 8.0357 | 450 | 0.8740 | 0.6800 | 0.8740 | 0.9349 |
| No log | 8.0714 | 452 | 0.9218 | 0.6797 | 0.9218 | 0.9601 |
| No log | 8.1071 | 454 | 0.9512 | 0.6613 | 0.9512 | 0.9753 |
| No log | 8.1429 | 456 | 0.9607 | 0.6604 | 0.9607 | 0.9802 |
| No log | 8.1786 | 458 | 0.9765 | 0.6521 | 0.9765 | 0.9882 |
| No log | 8.2143 | 460 | 0.9721 | 0.6521 | 0.9721 | 0.9860 |
| No log | 8.25 | 462 | 0.9557 | 0.6521 | 0.9557 | 0.9776 |
| No log | 8.2857 | 464 | 0.9192 | 0.6784 | 0.9192 | 0.9587 |
| No log | 8.3214 | 466 | 0.8779 | 0.6817 | 0.8779 | 0.9370 |
| No log | 8.3571 | 468 | 0.8557 | 0.6834 | 0.8557 | 0.9250 |
| No log | 8.3929 | 470 | 0.8519 | 0.6834 | 0.8519 | 0.9230 |
| No log | 8.4286 | 472 | 0.8635 | 0.6834 | 0.8635 | 0.9293 |
| No log | 8.4643 | 474 | 0.8678 | 0.6912 | 0.8678 | 0.9316 |
| No log | 8.5 | 476 | 0.8956 | 0.6912 | 0.8956 | 0.9464 |
| No log | 8.5357 | 478 | 0.9384 | 0.6712 | 0.9384 | 0.9687 |
| No log | 8.5714 | 480 | 0.9746 | 0.6530 | 0.9746 | 0.9872 |
| No log | 8.6071 | 482 | 1.0150 | 0.6607 | 1.0150 | 1.0075 |
| No log | 8.6429 | 484 | 1.0452 | 0.6465 | 1.0452 | 1.0224 |
| No log | 8.6786 | 486 | 1.0536 | 0.6465 | 1.0536 | 1.0265 |
| No log | 8.7143 | 488 | 1.0540 | 0.6465 | 1.0540 | 1.0266 |
| No log | 8.75 | 490 | 1.0372 | 0.6465 | 1.0372 | 1.0184 |
| No log | 8.7857 | 492 | 1.0084 | 0.6503 | 1.0084 | 1.0042 |
| No log | 8.8214 | 494 | 0.9709 | 0.6613 | 0.9709 | 0.9853 |
| No log | 8.8571 | 496 | 0.9373 | 0.6797 | 0.9373 | 0.9681 |
| No log | 8.8929 | 498 | 0.9327 | 0.6797 | 0.9327 | 0.9658 |
| 0.3325 | 8.9286 | 500 | 0.9467 | 0.6712 | 0.9467 | 0.9730 |
| 0.3325 | 8.9643 | 502 | 0.9551 | 0.6674 | 0.9551 | 0.9773 |
| 0.3325 | 9.0 | 504 | 0.9592 | 0.6590 | 0.9592 | 0.9794 |
| 0.3325 | 9.0357 | 506 | 0.9602 | 0.6696 | 0.9602 | 0.9799 |
| 0.3325 | 9.0714 | 508 | 0.9633 | 0.6696 | 0.9633 | 0.9815 |
| 0.3325 | 9.1071 | 510 | 0.9645 | 0.6636 | 0.9645 | 0.9821 |
| 0.3325 | 9.1429 | 512 | 0.9524 | 0.6673 | 0.9524 | 0.9759 |
| 0.3325 | 9.1786 | 514 | 0.9387 | 0.6819 | 0.9387 | 0.9689 |
| 0.3325 | 9.2143 | 516 | 0.9275 | 0.6943 | 0.9275 | 0.9631 |
| 0.3325 | 9.25 | 518 | 0.9209 | 0.6943 | 0.9209 | 0.9597 |
| 0.3325 | 9.2857 | 520 | 0.9188 | 0.6943 | 0.9188 | 0.9585 |
| 0.3325 | 9.3214 | 522 | 0.9185 | 0.6943 | 0.9185 | 0.9584 |
| 0.3325 | 9.3571 | 524 | 0.9145 | 0.6943 | 0.9145 | 0.9563 |
| 0.3325 | 9.3929 | 526 | 0.9081 | 0.6943 | 0.9081 | 0.9529 |
| 0.3325 | 9.4286 | 528 | 0.8982 | 0.7030 | 0.8982 | 0.9477 |
| 0.3325 | 9.4643 | 530 | 0.8863 | 0.7030 | 0.8863 | 0.9414 |
| 0.3325 | 9.5 | 532 | 0.8760 | 0.7138 | 0.8760 | 0.9359 |
| 0.3325 | 9.5357 | 534 | 0.8630 | 0.7085 | 0.8630 | 0.9290 |
| 0.3325 | 9.5714 | 536 | 0.8603 | 0.7083 | 0.8603 | 0.9275 |
| 0.3325 | 9.6071 | 538 | 0.8649 | 0.7085 | 0.8649 | 0.9300 |
| 0.3325 | 9.6429 | 540 | 0.8670 | 0.7026 | 0.8670 | 0.9311 |
| 0.3325 | 9.6786 | 542 | 0.8667 | 0.7026 | 0.8667 | 0.9310 |
| 0.3325 | 9.7143 | 544 | 0.8681 | 0.7030 | 0.8681 | 0.9317 |
| 0.3325 | 9.75 | 546 | 0.8707 | 0.7030 | 0.8707 | 0.9331 |
| 0.3325 | 9.7857 | 548 | 0.8737 | 0.7030 | 0.8737 | 0.9347 |
| 0.3325 | 9.8214 | 550 | 0.8754 | 0.7030 | 0.8754 | 0.9356 |
| 0.3325 | 9.8571 | 552 | 0.8777 | 0.7030 | 0.8777 | 0.9369 |
| 0.3325 | 9.8929 | 554 | 0.8807 | 0.7030 | 0.8807 | 0.9384 |
| 0.3325 | 9.9286 | 556 | 0.8824 | 0.7030 | 0.8824 | 0.9394 |
| 0.3325 | 9.9643 | 558 | 0.8830 | 0.7030 | 0.8830 | 0.9397 |
| 0.3325 | 10.0 | 560 | 0.8832 | 0.7030 | 0.8832 | 0.9398 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Downloads last month
- 2
Model tree for MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k17_task5_organization
Base model
aubmindlab/bert-base-arabertv02