Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k19_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_k19_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_k19_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k19_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k19_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run1_AugV5_k19_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: 1.0410
- Qwk: 0.5972
- Mse: 1.0410
- Rmse: 1.0203
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 | 0.0233 | 2 | 6.8160 | 0.0176 | 6.8160 | 2.6108 |
| No log | 0.0465 | 4 | 4.8436 | 0.0303 | 4.8436 | 2.2008 |
| No log | 0.0698 | 6 | 2.9630 | 0.0988 | 2.9630 | 1.7213 |
| No log | 0.0930 | 8 | 2.2332 | 0.1143 | 2.2332 | 1.4944 |
| No log | 0.1163 | 10 | 1.8450 | 0.1651 | 1.8450 | 1.3583 |
| No log | 0.1395 | 12 | 1.8241 | 0.1481 | 1.8241 | 1.3506 |
| No log | 0.1628 | 14 | 1.9026 | 0.1982 | 1.9026 | 1.3793 |
| No log | 0.1860 | 16 | 1.9782 | 0.1538 | 1.9782 | 1.4065 |
| No log | 0.2093 | 18 | 2.1683 | 0.1045 | 2.1683 | 1.4725 |
| No log | 0.2326 | 20 | 2.4514 | 0.0833 | 2.4514 | 1.5657 |
| No log | 0.2558 | 22 | 2.1780 | 0.1135 | 2.1780 | 1.4758 |
| No log | 0.2791 | 24 | 2.0522 | 0.25 | 2.0522 | 1.4325 |
| No log | 0.3023 | 26 | 1.7966 | 0.2791 | 1.7966 | 1.3404 |
| No log | 0.3256 | 28 | 1.5514 | 0.3621 | 1.5514 | 1.2455 |
| No log | 0.3488 | 30 | 1.5025 | 0.2727 | 1.5025 | 1.2258 |
| No log | 0.3721 | 32 | 1.4307 | 0.2407 | 1.4307 | 1.1961 |
| No log | 0.3953 | 34 | 1.3799 | 0.2569 | 1.3799 | 1.1747 |
| No log | 0.4186 | 36 | 1.5418 | 0.3025 | 1.5418 | 1.2417 |
| No log | 0.4419 | 38 | 1.7358 | 0.272 | 1.7358 | 1.3175 |
| No log | 0.4651 | 40 | 1.6339 | 0.2787 | 1.6339 | 1.2782 |
| No log | 0.4884 | 42 | 1.7381 | 0.2540 | 1.7381 | 1.3184 |
| No log | 0.5116 | 44 | 1.5801 | 0.3252 | 1.5801 | 1.2570 |
| No log | 0.5349 | 46 | 1.6376 | 0.2903 | 1.6376 | 1.2797 |
| No log | 0.5581 | 48 | 1.6284 | 0.2927 | 1.6284 | 1.2761 |
| No log | 0.5814 | 50 | 1.4917 | 0.2542 | 1.4917 | 1.2213 |
| No log | 0.6047 | 52 | 1.6504 | 0.2439 | 1.6504 | 1.2847 |
| No log | 0.6279 | 54 | 1.7222 | 0.2969 | 1.7222 | 1.3123 |
| No log | 0.6512 | 56 | 1.6065 | 0.3016 | 1.6065 | 1.2675 |
| No log | 0.6744 | 58 | 1.4731 | 0.1754 | 1.4731 | 1.2137 |
| No log | 0.6977 | 60 | 1.6261 | 0.2407 | 1.6261 | 1.2752 |
| No log | 0.7209 | 62 | 1.5378 | 0.3036 | 1.5378 | 1.2401 |
| No log | 0.7442 | 64 | 1.2805 | 0.4480 | 1.2805 | 1.1316 |
| No log | 0.7674 | 66 | 1.2766 | 0.5039 | 1.2766 | 1.1299 |
| No log | 0.7907 | 68 | 1.4414 | 0.4380 | 1.4414 | 1.2006 |
| No log | 0.8140 | 70 | 1.5935 | 0.3546 | 1.5935 | 1.2624 |
| No log | 0.8372 | 72 | 1.8283 | 0.2657 | 1.8283 | 1.3521 |
| No log | 0.8605 | 74 | 1.8219 | 0.3576 | 1.8219 | 1.3498 |
| No log | 0.8837 | 76 | 1.5531 | 0.3586 | 1.5531 | 1.2462 |
| No log | 0.9070 | 78 | 1.4304 | 0.4571 | 1.4304 | 1.1960 |
| No log | 0.9302 | 80 | 1.4318 | 0.4429 | 1.4318 | 1.1966 |
| No log | 0.9535 | 82 | 1.5412 | 0.3913 | 1.5412 | 1.2415 |
| No log | 0.9767 | 84 | 1.4216 | 0.4762 | 1.4216 | 1.1923 |
| No log | 1.0 | 86 | 1.4662 | 0.3276 | 1.4662 | 1.2109 |
| No log | 1.0233 | 88 | 1.3195 | 0.2321 | 1.3195 | 1.1487 |
| No log | 1.0465 | 90 | 1.2903 | 0.3540 | 1.2903 | 1.1359 |
| No log | 1.0698 | 92 | 1.3303 | 0.4274 | 1.3303 | 1.1534 |
| No log | 1.0930 | 94 | 1.2344 | 0.3363 | 1.2344 | 1.1110 |
| No log | 1.1163 | 96 | 1.1308 | 0.4828 | 1.1308 | 1.0634 |
| No log | 1.1395 | 98 | 1.2253 | 0.5827 | 1.2253 | 1.1069 |
| No log | 1.1628 | 100 | 1.2748 | 0.4844 | 1.2748 | 1.1291 |
| No log | 1.1860 | 102 | 1.2845 | 0.4839 | 1.2845 | 1.1334 |
| No log | 1.2093 | 104 | 1.2727 | 0.4715 | 1.2727 | 1.1281 |
| No log | 1.2326 | 106 | 1.2865 | 0.4923 | 1.2865 | 1.1343 |
| No log | 1.2558 | 108 | 1.2369 | 0.4962 | 1.2369 | 1.1122 |
| No log | 1.2791 | 110 | 1.2030 | 0.4769 | 1.2030 | 1.0968 |
| No log | 1.3023 | 112 | 1.3211 | 0.4662 | 1.3211 | 1.1494 |
| No log | 1.3256 | 114 | 1.4770 | 0.4559 | 1.4770 | 1.2153 |
| No log | 1.3488 | 116 | 1.5522 | 0.4211 | 1.5522 | 1.2459 |
| No log | 1.3721 | 118 | 1.5547 | 0.3065 | 1.5547 | 1.2469 |
| No log | 1.3953 | 120 | 1.5562 | 0.3529 | 1.5562 | 1.2475 |
| No log | 1.4186 | 122 | 1.5209 | 0.3898 | 1.5209 | 1.2333 |
| No log | 1.4419 | 124 | 1.6273 | 0.3077 | 1.6273 | 1.2757 |
| No log | 1.4651 | 126 | 1.7202 | 0.2655 | 1.7202 | 1.3115 |
| No log | 1.4884 | 128 | 1.5949 | 0.3306 | 1.5949 | 1.2629 |
| No log | 1.5116 | 130 | 1.5104 | 0.3594 | 1.5104 | 1.2290 |
| No log | 1.5349 | 132 | 1.5319 | 0.3704 | 1.5319 | 1.2377 |
| No log | 1.5581 | 134 | 1.6609 | 0.3429 | 1.6609 | 1.2888 |
| No log | 1.5814 | 136 | 1.8355 | 0.3243 | 1.8355 | 1.3548 |
| No log | 1.6047 | 138 | 1.8447 | 0.2877 | 1.8447 | 1.3582 |
| No log | 1.6279 | 140 | 1.6236 | 0.3165 | 1.6236 | 1.2742 |
| No log | 1.6512 | 142 | 1.5047 | 0.3256 | 1.5047 | 1.2267 |
| No log | 1.6744 | 144 | 1.5178 | 0.3566 | 1.5178 | 1.2320 |
| No log | 1.6977 | 146 | 1.5404 | 0.3385 | 1.5404 | 1.2411 |
| No log | 1.7209 | 148 | 1.6562 | 0.3714 | 1.6562 | 1.2869 |
| No log | 1.7442 | 150 | 1.5984 | 0.4380 | 1.5984 | 1.2643 |
| No log | 1.7674 | 152 | 1.3820 | 0.4262 | 1.3820 | 1.1756 |
| No log | 1.7907 | 154 | 1.2716 | 0.4103 | 1.2716 | 1.1277 |
| No log | 1.8140 | 156 | 1.2410 | 0.5197 | 1.2410 | 1.1140 |
| No log | 1.8372 | 158 | 1.2986 | 0.5075 | 1.2986 | 1.1395 |
| No log | 1.8605 | 160 | 1.2509 | 0.5113 | 1.2509 | 1.1184 |
| No log | 1.8837 | 162 | 1.0901 | 0.5865 | 1.0901 | 1.0441 |
| No log | 1.9070 | 164 | 1.0195 | 0.6667 | 1.0195 | 1.0097 |
| No log | 1.9302 | 166 | 1.0042 | 0.6531 | 1.0042 | 1.0021 |
| No log | 1.9535 | 168 | 1.0597 | 0.5972 | 1.0597 | 1.0294 |
| No log | 1.9767 | 170 | 1.2521 | 0.4932 | 1.2521 | 1.1190 |
| No log | 2.0 | 172 | 1.3328 | 0.4868 | 1.3328 | 1.1545 |
| No log | 2.0233 | 174 | 1.2447 | 0.5563 | 1.2447 | 1.1157 |
| No log | 2.0465 | 176 | 1.1117 | 0.5541 | 1.1117 | 1.0544 |
| No log | 2.0698 | 178 | 0.9398 | 0.64 | 0.9398 | 0.9694 |
| No log | 2.0930 | 180 | 0.9931 | 0.6443 | 0.9931 | 0.9965 |
| No log | 2.1163 | 182 | 0.9949 | 0.6122 | 0.9949 | 0.9975 |
| No log | 2.1395 | 184 | 0.9310 | 0.6800 | 0.9310 | 0.9649 |
| No log | 2.1628 | 186 | 0.9527 | 0.6434 | 0.9527 | 0.9760 |
| No log | 2.1860 | 188 | 0.9680 | 0.6294 | 0.9680 | 0.9839 |
| No log | 2.2093 | 190 | 0.9559 | 0.6619 | 0.9559 | 0.9777 |
| No log | 2.2326 | 192 | 0.9843 | 0.6338 | 0.9843 | 0.9921 |
| No log | 2.2558 | 194 | 0.9857 | 0.6475 | 0.9857 | 0.9928 |
| No log | 2.2791 | 196 | 0.9961 | 0.6197 | 0.9961 | 0.9981 |
| No log | 2.3023 | 198 | 1.0458 | 0.5946 | 1.0458 | 1.0226 |
| No log | 2.3256 | 200 | 0.9326 | 0.6438 | 0.9326 | 0.9657 |
| No log | 2.3488 | 202 | 0.8203 | 0.6939 | 0.8203 | 0.9057 |
| No log | 2.3721 | 204 | 0.8278 | 0.6849 | 0.8278 | 0.9098 |
| No log | 2.3953 | 206 | 0.9287 | 0.6338 | 0.9287 | 0.9637 |
| No log | 2.4186 | 208 | 1.2300 | 0.5535 | 1.2300 | 1.1091 |
| No log | 2.4419 | 210 | 1.3903 | 0.5535 | 1.3903 | 1.1791 |
| No log | 2.4651 | 212 | 1.2400 | 0.5535 | 1.2400 | 1.1136 |
| No log | 2.4884 | 214 | 0.8890 | 0.6968 | 0.8890 | 0.9428 |
| No log | 2.5116 | 216 | 0.8220 | 0.6887 | 0.8220 | 0.9066 |
| No log | 2.5349 | 218 | 0.9095 | 0.6438 | 0.9095 | 0.9537 |
| No log | 2.5581 | 220 | 1.2086 | 0.5578 | 1.2086 | 1.0994 |
| No log | 2.5814 | 222 | 1.3572 | 0.5556 | 1.3572 | 1.1650 |
| No log | 2.6047 | 224 | 1.3688 | 0.5286 | 1.3688 | 1.1699 |
| No log | 2.6279 | 226 | 1.1272 | 0.6571 | 1.1272 | 1.0617 |
| No log | 2.6512 | 228 | 0.9264 | 0.6861 | 0.9264 | 0.9625 |
| No log | 2.6744 | 230 | 0.8745 | 0.6715 | 0.8745 | 0.9352 |
| No log | 2.6977 | 232 | 0.8455 | 0.6763 | 0.8455 | 0.9195 |
| No log | 2.7209 | 234 | 0.8549 | 0.6475 | 0.8549 | 0.9246 |
| No log | 2.7442 | 236 | 0.8947 | 0.6621 | 0.8947 | 0.9459 |
| No log | 2.7674 | 238 | 0.9302 | 0.6621 | 0.9302 | 0.9645 |
| No log | 2.7907 | 240 | 0.9402 | 0.6667 | 0.9402 | 0.9696 |
| No log | 2.8140 | 242 | 0.9866 | 0.6164 | 0.9866 | 0.9933 |
| No log | 2.8372 | 244 | 0.9261 | 0.6525 | 0.9261 | 0.9623 |
| No log | 2.8605 | 246 | 0.9561 | 0.5985 | 0.9561 | 0.9778 |
| No log | 2.8837 | 248 | 1.0149 | 0.5672 | 1.0149 | 1.0074 |
| No log | 2.9070 | 250 | 1.0446 | 0.5496 | 1.0446 | 1.0220 |
| No log | 2.9302 | 252 | 1.0964 | 0.5758 | 1.0964 | 1.0471 |
| No log | 2.9535 | 254 | 1.1593 | 0.5802 | 1.1593 | 1.0767 |
| No log | 2.9767 | 256 | 1.1836 | 0.5496 | 1.1836 | 1.0879 |
| No log | 3.0 | 258 | 1.2214 | 0.5152 | 1.2214 | 1.1052 |
| No log | 3.0233 | 260 | 1.2749 | 0.4662 | 1.2749 | 1.1291 |
| No log | 3.0465 | 262 | 1.3290 | 0.4545 | 1.3290 | 1.1528 |
| No log | 3.0698 | 264 | 1.3832 | 0.5036 | 1.3832 | 1.1761 |
| No log | 3.0930 | 266 | 1.4738 | 0.4521 | 1.4738 | 1.2140 |
| No log | 3.1163 | 268 | 1.5358 | 0.4196 | 1.5358 | 1.2393 |
| No log | 3.1395 | 270 | 1.5126 | 0.4354 | 1.5126 | 1.2299 |
| No log | 3.1628 | 272 | 1.4447 | 0.5248 | 1.4447 | 1.2020 |
| No log | 3.1860 | 274 | 1.4063 | 0.5 | 1.4063 | 1.1859 |
| No log | 3.2093 | 276 | 1.4104 | 0.5211 | 1.4104 | 1.1876 |
| No log | 3.2326 | 278 | 1.3822 | 0.5248 | 1.3822 | 1.1757 |
| No log | 3.2558 | 280 | 1.3617 | 0.5324 | 1.3617 | 1.1669 |
| No log | 3.2791 | 282 | 1.3167 | 0.5414 | 1.3167 | 1.1475 |
| No log | 3.3023 | 284 | 1.3070 | 0.4394 | 1.3070 | 1.1432 |
| No log | 3.3256 | 286 | 1.2367 | 0.5185 | 1.2367 | 1.1121 |
| No log | 3.3488 | 288 | 1.1573 | 0.5985 | 1.1573 | 1.0758 |
| No log | 3.3721 | 290 | 1.0895 | 0.6087 | 1.0895 | 1.0438 |
| No log | 3.3953 | 292 | 1.0778 | 0.6 | 1.0778 | 1.0382 |
| No log | 3.4186 | 294 | 1.0933 | 0.5734 | 1.0933 | 1.0456 |
| No log | 3.4419 | 296 | 1.0224 | 0.6479 | 1.0224 | 1.0112 |
| No log | 3.4651 | 298 | 0.9362 | 0.6232 | 0.9362 | 0.9676 |
| No log | 3.4884 | 300 | 0.9020 | 0.6423 | 0.9020 | 0.9498 |
| No log | 3.5116 | 302 | 0.8951 | 0.6619 | 0.8951 | 0.9461 |
| No log | 3.5349 | 304 | 0.9652 | 0.6056 | 0.9652 | 0.9824 |
| No log | 3.5581 | 306 | 0.9497 | 0.6187 | 0.9497 | 0.9745 |
| No log | 3.5814 | 308 | 0.9568 | 0.6528 | 0.9568 | 0.9781 |
| No log | 3.6047 | 310 | 1.0113 | 0.6207 | 1.0113 | 1.0057 |
| No log | 3.6279 | 312 | 0.9550 | 0.6479 | 0.9550 | 0.9772 |
| No log | 3.6512 | 314 | 0.9389 | 0.6853 | 0.9389 | 0.9690 |
| No log | 3.6744 | 316 | 0.9051 | 0.6944 | 0.9051 | 0.9513 |
| No log | 3.6977 | 318 | 0.9010 | 0.6759 | 0.9010 | 0.9492 |
| No log | 3.7209 | 320 | 0.9037 | 0.6525 | 0.9037 | 0.9506 |
| No log | 3.7442 | 322 | 0.9363 | 0.6667 | 0.9363 | 0.9676 |
| No log | 3.7674 | 324 | 0.9310 | 0.6331 | 0.9310 | 0.9649 |
| No log | 3.7907 | 326 | 0.9220 | 0.6475 | 0.9220 | 0.9602 |
| No log | 3.8140 | 328 | 0.9389 | 0.6154 | 0.9389 | 0.9690 |
| No log | 3.8372 | 330 | 1.0532 | 0.6081 | 1.0532 | 1.0263 |
| No log | 3.8605 | 332 | 1.0916 | 0.5890 | 1.0916 | 1.0448 |
| No log | 3.8837 | 334 | 1.0019 | 0.6164 | 1.0019 | 1.0009 |
| No log | 3.9070 | 336 | 0.9546 | 0.6069 | 0.9546 | 0.9770 |
| No log | 3.9302 | 338 | 1.0130 | 0.6069 | 1.0130 | 1.0065 |
| No log | 3.9535 | 340 | 1.1080 | 0.5931 | 1.1080 | 1.0526 |
| No log | 3.9767 | 342 | 1.1161 | 0.6027 | 1.1161 | 1.0565 |
| No log | 4.0 | 344 | 1.1149 | 0.6027 | 1.1149 | 1.0559 |
| No log | 4.0233 | 346 | 1.0048 | 0.6338 | 1.0048 | 1.0024 |
| No log | 4.0465 | 348 | 0.9081 | 0.6573 | 0.9081 | 0.9530 |
| No log | 4.0698 | 350 | 0.8445 | 0.6803 | 0.8445 | 0.9189 |
| No log | 4.0930 | 352 | 0.8320 | 0.6887 | 0.8320 | 0.9121 |
| No log | 4.1163 | 354 | 0.9074 | 0.6410 | 0.9074 | 0.9526 |
| No log | 4.1395 | 356 | 0.9690 | 0.6234 | 0.9690 | 0.9844 |
| No log | 4.1628 | 358 | 1.1197 | 0.5867 | 1.1197 | 1.0582 |
| No log | 4.1860 | 360 | 1.1343 | 0.5850 | 1.1343 | 1.0651 |
| No log | 4.2093 | 362 | 0.9958 | 0.6207 | 0.9958 | 0.9979 |
| No log | 4.2326 | 364 | 0.9138 | 0.6857 | 0.9138 | 0.9559 |
| No log | 4.2558 | 366 | 0.8856 | 0.6857 | 0.8856 | 0.9411 |
| No log | 4.2791 | 368 | 0.8395 | 0.6950 | 0.8395 | 0.9163 |
| No log | 4.3023 | 370 | 0.8545 | 0.6806 | 0.8545 | 0.9244 |
| No log | 4.3256 | 372 | 0.9352 | 0.6853 | 0.9352 | 0.9671 |
| No log | 4.3488 | 374 | 1.0180 | 0.6667 | 1.0180 | 1.0090 |
| No log | 4.3721 | 376 | 1.0089 | 0.6667 | 1.0089 | 1.0044 |
| No log | 4.3953 | 378 | 0.9051 | 0.6853 | 0.9051 | 0.9514 |
| No log | 4.4186 | 380 | 0.8183 | 0.6846 | 0.8183 | 0.9046 |
| No log | 4.4419 | 382 | 0.8079 | 0.7273 | 0.8079 | 0.8989 |
| No log | 4.4651 | 384 | 0.8090 | 0.7105 | 0.8090 | 0.8994 |
| No log | 4.4884 | 386 | 0.9130 | 0.6667 | 0.9130 | 0.9555 |
| No log | 4.5116 | 388 | 1.0288 | 0.5772 | 1.0288 | 1.0143 |
| No log | 4.5349 | 390 | 0.9700 | 0.6345 | 0.9700 | 0.9849 |
| No log | 4.5581 | 392 | 0.8639 | 0.6573 | 0.8639 | 0.9295 |
| No log | 4.5814 | 394 | 0.8640 | 0.6475 | 0.8640 | 0.9295 |
| No log | 4.6047 | 396 | 0.9017 | 0.6525 | 0.9017 | 0.9496 |
| No log | 4.6279 | 398 | 0.9995 | 0.6197 | 0.9995 | 0.9998 |
| No log | 4.6512 | 400 | 1.1946 | 0.5694 | 1.1946 | 1.0930 |
| No log | 4.6744 | 402 | 1.3581 | 0.5211 | 1.3581 | 1.1654 |
| No log | 4.6977 | 404 | 1.3416 | 0.5211 | 1.3416 | 1.1583 |
| No log | 4.7209 | 406 | 1.1425 | 0.5850 | 1.1425 | 1.0689 |
| No log | 4.7442 | 408 | 0.9717 | 0.6483 | 0.9717 | 0.9858 |
| No log | 4.7674 | 410 | 0.9119 | 0.6575 | 0.9119 | 0.9549 |
| No log | 4.7907 | 412 | 0.9482 | 0.6486 | 0.9482 | 0.9738 |
| No log | 4.8140 | 414 | 1.0794 | 0.5906 | 1.0794 | 1.0390 |
| No log | 4.8372 | 416 | 1.1845 | 0.5850 | 1.1845 | 1.0883 |
| No log | 4.8605 | 418 | 1.1165 | 0.6027 | 1.1165 | 1.0566 |
| No log | 4.8837 | 420 | 1.0275 | 0.6575 | 1.0275 | 1.0136 |
| No log | 4.9070 | 422 | 0.9190 | 0.6338 | 0.9190 | 0.9586 |
| No log | 4.9302 | 424 | 0.8844 | 0.6383 | 0.8844 | 0.9404 |
| No log | 4.9535 | 426 | 0.8752 | 0.6383 | 0.8752 | 0.9355 |
| No log | 4.9767 | 428 | 0.8712 | 0.6241 | 0.8712 | 0.9334 |
| No log | 5.0 | 430 | 0.9223 | 0.6438 | 0.9223 | 0.9604 |
| No log | 5.0233 | 432 | 0.9734 | 0.6259 | 0.9734 | 0.9866 |
| No log | 5.0465 | 434 | 0.9348 | 0.6081 | 0.9348 | 0.9668 |
| No log | 5.0698 | 436 | 0.8739 | 0.6531 | 0.8739 | 0.9348 |
| No log | 5.0930 | 438 | 0.8680 | 0.6577 | 0.8680 | 0.9317 |
| No log | 5.1163 | 440 | 0.8733 | 0.6395 | 0.8733 | 0.9345 |
| No log | 5.1395 | 442 | 0.9548 | 0.6345 | 0.9548 | 0.9771 |
| No log | 5.1628 | 444 | 0.9992 | 0.6056 | 0.9992 | 0.9996 |
| No log | 5.1860 | 446 | 0.9856 | 0.6043 | 0.9856 | 0.9928 |
| No log | 5.2093 | 448 | 0.9634 | 0.6232 | 0.9634 | 0.9815 |
| No log | 5.2326 | 450 | 0.9449 | 0.6087 | 0.9449 | 0.9721 |
| No log | 5.2558 | 452 | 0.9825 | 0.6043 | 0.9825 | 0.9912 |
| No log | 5.2791 | 454 | 1.0766 | 0.6232 | 1.0766 | 1.0376 |
| No log | 5.3023 | 456 | 1.0775 | 0.6074 | 1.0775 | 1.0380 |
| No log | 5.3256 | 458 | 1.0263 | 0.6074 | 1.0263 | 1.0131 |
| No log | 5.3488 | 460 | 0.8873 | 0.6087 | 0.8873 | 0.9420 |
| No log | 5.3721 | 462 | 0.8085 | 0.6475 | 0.8085 | 0.8992 |
| No log | 5.3953 | 464 | 0.8145 | 0.6277 | 0.8145 | 0.9025 |
| No log | 5.4186 | 466 | 0.9188 | 0.6277 | 0.9188 | 0.9585 |
| No log | 5.4419 | 468 | 1.0581 | 0.6131 | 1.0581 | 1.0287 |
| No log | 5.4651 | 470 | 1.0918 | 0.5882 | 1.0918 | 1.0449 |
| No log | 5.4884 | 472 | 0.9972 | 0.6197 | 0.9972 | 0.9986 |
| No log | 5.5116 | 474 | 0.7888 | 0.6667 | 0.7888 | 0.8882 |
| No log | 5.5349 | 476 | 0.6934 | 0.7123 | 0.6934 | 0.8327 |
| No log | 5.5581 | 478 | 0.6854 | 0.7397 | 0.6854 | 0.8279 |
| No log | 5.5814 | 480 | 0.7011 | 0.7483 | 0.7011 | 0.8373 |
| No log | 5.6047 | 482 | 0.7443 | 0.6901 | 0.7443 | 0.8627 |
| No log | 5.6279 | 484 | 0.8066 | 0.6667 | 0.8066 | 0.8981 |
| No log | 5.6512 | 486 | 0.9300 | 0.6434 | 0.9300 | 0.9644 |
| No log | 5.6744 | 488 | 0.9888 | 0.6197 | 0.9888 | 0.9944 |
| No log | 5.6977 | 490 | 1.0809 | 0.5714 | 1.0809 | 1.0397 |
| No log | 5.7209 | 492 | 1.0611 | 0.5874 | 1.0611 | 1.0301 |
| No log | 5.7442 | 494 | 0.9584 | 0.6434 | 0.9584 | 0.9790 |
| No log | 5.7674 | 496 | 0.9293 | 0.6483 | 0.9293 | 0.9640 |
| No log | 5.7907 | 498 | 0.9215 | 0.6187 | 0.9215 | 0.9599 |
| 0.4888 | 5.8140 | 500 | 0.9483 | 0.6131 | 0.9483 | 0.9738 |
| 0.4888 | 5.8372 | 502 | 0.9859 | 0.6131 | 0.9859 | 0.9929 |
| 0.4888 | 5.8605 | 504 | 0.9852 | 0.6338 | 0.9852 | 0.9926 |
| 0.4888 | 5.8837 | 506 | 0.9363 | 0.6345 | 0.9363 | 0.9676 |
| 0.4888 | 5.9070 | 508 | 0.8572 | 0.6528 | 0.8572 | 0.9259 |
| 0.4888 | 5.9302 | 510 | 0.8616 | 0.7417 | 0.8616 | 0.9282 |
| 0.4888 | 5.9535 | 512 | 0.8596 | 0.7417 | 0.8596 | 0.9272 |
| 0.4888 | 5.9767 | 514 | 0.8319 | 0.7237 | 0.8319 | 0.9121 |
| 0.4888 | 6.0 | 516 | 0.8547 | 0.6711 | 0.8547 | 0.9245 |
| 0.4888 | 6.0233 | 518 | 0.9285 | 0.6849 | 0.9285 | 0.9636 |
| 0.4888 | 6.0465 | 520 | 1.0031 | 0.6621 | 1.0031 | 1.0015 |
| 0.4888 | 6.0698 | 522 | 1.0944 | 0.6027 | 1.0944 | 1.0461 |
| 0.4888 | 6.0930 | 524 | 1.0882 | 0.6099 | 1.0882 | 1.0432 |
| 0.4888 | 6.1163 | 526 | 1.0250 | 0.6429 | 1.0250 | 1.0124 |
| 0.4888 | 6.1395 | 528 | 0.9472 | 0.6714 | 0.9472 | 0.9732 |
| 0.4888 | 6.1628 | 530 | 0.8992 | 0.6806 | 0.8992 | 0.9483 |
| 0.4888 | 6.1860 | 532 | 0.8688 | 0.6853 | 0.8688 | 0.9321 |
| 0.4888 | 6.2093 | 534 | 0.8738 | 0.6901 | 0.8738 | 0.9348 |
| 0.4888 | 6.2326 | 536 | 0.9428 | 0.6571 | 0.9428 | 0.9710 |
| 0.4888 | 6.2558 | 538 | 1.0357 | 0.6053 | 1.0357 | 1.0177 |
| 0.4888 | 6.2791 | 540 | 1.1546 | 0.5897 | 1.1546 | 1.0745 |
| 0.4888 | 6.3023 | 542 | 1.1561 | 0.5578 | 1.1561 | 1.0752 |
| 0.4888 | 6.3256 | 544 | 1.0407 | 0.6043 | 1.0407 | 1.0202 |
| 0.4888 | 6.3488 | 546 | 0.9573 | 0.6269 | 0.9573 | 0.9784 |
| 0.4888 | 6.3721 | 548 | 0.9607 | 0.6569 | 0.9607 | 0.9801 |
| 0.4888 | 6.3953 | 550 | 0.9719 | 0.6277 | 0.9719 | 0.9858 |
| 0.4888 | 6.4186 | 552 | 1.0150 | 0.6143 | 1.0150 | 1.0075 |
| 0.4888 | 6.4419 | 554 | 1.0687 | 0.5931 | 1.0687 | 1.0338 |
| 0.4888 | 6.4651 | 556 | 1.0860 | 0.6027 | 1.0860 | 1.0421 |
| 0.4888 | 6.4884 | 558 | 1.0286 | 0.5833 | 1.0286 | 1.0142 |
| 0.4888 | 6.5116 | 560 | 0.9671 | 0.6241 | 0.9671 | 0.9834 |
| 0.4888 | 6.5349 | 562 | 0.9246 | 0.6475 | 0.9246 | 0.9616 |
| 0.4888 | 6.5581 | 564 | 0.9067 | 0.6429 | 0.9067 | 0.9522 |
| 0.4888 | 6.5814 | 566 | 0.9069 | 0.6429 | 0.9069 | 0.9523 |
| 0.4888 | 6.6047 | 568 | 0.9548 | 0.6338 | 0.9548 | 0.9771 |
| 0.4888 | 6.6279 | 570 | 1.0336 | 0.6345 | 1.0336 | 1.0167 |
| 0.4888 | 6.6512 | 572 | 1.0777 | 0.6345 | 1.0777 | 1.0381 |
| 0.4888 | 6.6744 | 574 | 1.1040 | 0.6027 | 1.1040 | 1.0507 |
| 0.4888 | 6.6977 | 576 | 1.0299 | 0.5793 | 1.0299 | 1.0149 |
| 0.4888 | 6.7209 | 578 | 1.0004 | 0.6069 | 1.0004 | 1.0002 |
| 0.4888 | 6.7442 | 580 | 1.0248 | 0.5931 | 1.0248 | 1.0123 |
| 0.4888 | 6.7674 | 582 | 1.0410 | 0.5972 | 1.0410 | 1.0203 |
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_k19_task1_organization
Base model
aubmindlab/bert-base-arabertv02