Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_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: 0.8475
- Qwk: 0.3280
- Mse: 0.8475
- Rmse: 0.9206
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 | 0.0385 | 2 | 4.1331 | -0.0234 | 4.1331 | 2.0330 |
| No log | 0.0769 | 4 | 2.7238 | -0.0751 | 2.7238 | 1.6504 |
| No log | 0.1154 | 6 | 2.4167 | -0.0656 | 2.4167 | 1.5546 |
| No log | 0.1538 | 8 | 1.8468 | 0.0184 | 1.8468 | 1.3590 |
| No log | 0.1923 | 10 | 1.3093 | 0.0693 | 1.3093 | 1.1442 |
| No log | 0.2308 | 12 | 1.1748 | 0.1313 | 1.1748 | 1.0839 |
| No log | 0.2692 | 14 | 1.3783 | 0.1487 | 1.3783 | 1.1740 |
| No log | 0.3077 | 16 | 1.1952 | 0.2017 | 1.1952 | 1.0932 |
| No log | 0.3462 | 18 | 1.0205 | 0.2539 | 1.0205 | 1.0102 |
| No log | 0.3846 | 20 | 1.0732 | 0.2023 | 1.0732 | 1.0359 |
| No log | 0.4231 | 22 | 1.0314 | 0.2466 | 1.0314 | 1.0156 |
| No log | 0.4615 | 24 | 1.0179 | 0.1981 | 1.0179 | 1.0089 |
| No log | 0.5 | 26 | 1.0229 | 0.1573 | 1.0229 | 1.0114 |
| No log | 0.5385 | 28 | 1.0176 | 0.2340 | 1.0176 | 1.0087 |
| No log | 0.5769 | 30 | 1.0409 | 0.2068 | 1.0409 | 1.0202 |
| No log | 0.6154 | 32 | 1.2471 | 0.0996 | 1.2471 | 1.1167 |
| No log | 0.6538 | 34 | 1.3448 | 0.0380 | 1.3448 | 1.1596 |
| No log | 0.6923 | 36 | 1.2049 | 0.2150 | 1.2049 | 1.0977 |
| No log | 0.7308 | 38 | 1.0362 | 0.2145 | 1.0362 | 1.0179 |
| No log | 0.7692 | 40 | 0.9608 | 0.2740 | 0.9608 | 0.9802 |
| No log | 0.8077 | 42 | 0.9646 | 0.2316 | 0.9646 | 0.9821 |
| No log | 0.8462 | 44 | 1.0560 | 0.3045 | 1.0560 | 1.0276 |
| No log | 0.8846 | 46 | 1.1156 | 0.2282 | 1.1156 | 1.0562 |
| No log | 0.9231 | 48 | 1.1708 | 0.2363 | 1.1708 | 1.0820 |
| No log | 0.9615 | 50 | 1.1123 | 0.2328 | 1.1123 | 1.0546 |
| No log | 1.0 | 52 | 1.0563 | 0.3200 | 1.0563 | 1.0278 |
| No log | 1.0385 | 54 | 1.0465 | 0.2841 | 1.0465 | 1.0230 |
| No log | 1.0769 | 56 | 1.0844 | 0.2448 | 1.0844 | 1.0413 |
| No log | 1.1154 | 58 | 1.2748 | 0.1812 | 1.2748 | 1.1291 |
| No log | 1.1538 | 60 | 1.5083 | 0.2300 | 1.5083 | 1.2281 |
| No log | 1.1923 | 62 | 1.5727 | 0.2436 | 1.5727 | 1.2541 |
| No log | 1.2308 | 64 | 1.5145 | 0.2212 | 1.5145 | 1.2307 |
| No log | 1.2692 | 66 | 1.5698 | 0.1750 | 1.5698 | 1.2529 |
| No log | 1.3077 | 68 | 1.8191 | 0.0914 | 1.8191 | 1.3487 |
| No log | 1.3462 | 70 | 1.7287 | 0.0889 | 1.7287 | 1.3148 |
| No log | 1.3846 | 72 | 1.4893 | 0.1387 | 1.4893 | 1.2204 |
| No log | 1.4231 | 74 | 1.2008 | 0.2246 | 1.2008 | 1.0958 |
| No log | 1.4615 | 76 | 1.0771 | 0.2290 | 1.0771 | 1.0379 |
| No log | 1.5 | 78 | 1.0538 | 0.2671 | 1.0538 | 1.0265 |
| No log | 1.5385 | 80 | 1.1073 | 0.2502 | 1.1073 | 1.0523 |
| No log | 1.5769 | 82 | 1.1610 | 0.2280 | 1.1610 | 1.0775 |
| No log | 1.6154 | 84 | 1.1177 | 0.2311 | 1.1177 | 1.0572 |
| No log | 1.6538 | 86 | 1.0400 | 0.2475 | 1.0400 | 1.0198 |
| No log | 1.6923 | 88 | 1.0151 | 0.3614 | 1.0151 | 1.0075 |
| No log | 1.7308 | 90 | 1.0613 | 0.3200 | 1.0613 | 1.0302 |
| No log | 1.7692 | 92 | 1.0838 | 0.2588 | 1.0838 | 1.0411 |
| No log | 1.8077 | 94 | 1.1814 | 0.2375 | 1.1814 | 1.0869 |
| No log | 1.8462 | 96 | 1.3636 | 0.2462 | 1.3636 | 1.1677 |
| No log | 1.8846 | 98 | 1.4301 | 0.2728 | 1.4301 | 1.1958 |
| No log | 1.9231 | 100 | 1.3492 | 0.1595 | 1.3492 | 1.1615 |
| No log | 1.9615 | 102 | 1.1806 | 0.2864 | 1.1806 | 1.0865 |
| No log | 2.0 | 104 | 1.0956 | 0.3019 | 1.0956 | 1.0467 |
| No log | 2.0385 | 106 | 1.0000 | 0.3981 | 1.0000 | 1.0000 |
| No log | 2.0769 | 108 | 0.9589 | 0.3839 | 0.9589 | 0.9792 |
| No log | 2.1154 | 110 | 1.0190 | 0.3671 | 1.0190 | 1.0095 |
| No log | 2.1538 | 112 | 1.1512 | 0.2379 | 1.1512 | 1.0729 |
| No log | 2.1923 | 114 | 1.2020 | 0.2740 | 1.2020 | 1.0964 |
| No log | 2.2308 | 116 | 1.1370 | 0.2850 | 1.1370 | 1.0663 |
| No log | 2.2692 | 118 | 1.0719 | 0.2673 | 1.0719 | 1.0353 |
| No log | 2.3077 | 120 | 1.0202 | 0.3243 | 1.0202 | 1.0101 |
| No log | 2.3462 | 122 | 1.0323 | 0.3335 | 1.0323 | 1.0160 |
| No log | 2.3846 | 124 | 1.0715 | 0.3474 | 1.0715 | 1.0351 |
| No log | 2.4231 | 126 | 0.9976 | 0.3733 | 0.9976 | 0.9988 |
| No log | 2.4615 | 128 | 0.9645 | 0.4305 | 0.9645 | 0.9821 |
| No log | 2.5 | 130 | 0.9212 | 0.3965 | 0.9212 | 0.9598 |
| No log | 2.5385 | 132 | 0.9327 | 0.3965 | 0.9327 | 0.9658 |
| No log | 2.5769 | 134 | 0.9781 | 0.4073 | 0.9781 | 0.9890 |
| No log | 2.6154 | 136 | 0.9918 | 0.3448 | 0.9918 | 0.9959 |
| No log | 2.6538 | 138 | 1.0548 | 0.3668 | 1.0548 | 1.0271 |
| No log | 2.6923 | 140 | 1.0767 | 0.3406 | 1.0767 | 1.0376 |
| No log | 2.7308 | 142 | 1.0123 | 0.2951 | 1.0123 | 1.0061 |
| No log | 2.7692 | 144 | 0.9730 | 0.2857 | 0.9730 | 0.9864 |
| No log | 2.8077 | 146 | 0.9308 | 0.3418 | 0.9308 | 0.9648 |
| No log | 2.8462 | 148 | 0.9013 | 0.3779 | 0.9013 | 0.9494 |
| No log | 2.8846 | 150 | 0.8900 | 0.4527 | 0.8900 | 0.9434 |
| No log | 2.9231 | 152 | 0.9641 | 0.3639 | 0.9641 | 0.9819 |
| No log | 2.9615 | 154 | 1.1058 | 0.3573 | 1.1058 | 1.0516 |
| No log | 3.0 | 156 | 1.0960 | 0.3879 | 1.0960 | 1.0469 |
| No log | 3.0385 | 158 | 1.0190 | 0.3602 | 1.0190 | 1.0095 |
| No log | 3.0769 | 160 | 1.1149 | 0.2750 | 1.1149 | 1.0559 |
| No log | 3.1154 | 162 | 1.1780 | 0.3044 | 1.1780 | 1.0854 |
| No log | 3.1538 | 164 | 1.0680 | 0.3383 | 1.0680 | 1.0334 |
| No log | 3.1923 | 166 | 0.9768 | 0.3424 | 0.9768 | 0.9883 |
| No log | 3.2308 | 168 | 0.8799 | 0.4093 | 0.8799 | 0.9380 |
| No log | 3.2692 | 170 | 0.9932 | 0.4350 | 0.9932 | 0.9966 |
| No log | 3.3077 | 172 | 1.1142 | 0.2567 | 1.1142 | 1.0555 |
| No log | 3.3462 | 174 | 1.1004 | 0.2949 | 1.1004 | 1.0490 |
| No log | 3.3846 | 176 | 0.9990 | 0.3293 | 0.9990 | 0.9995 |
| No log | 3.4231 | 178 | 0.9592 | 0.2038 | 0.9592 | 0.9794 |
| No log | 3.4615 | 180 | 0.9972 | 0.2572 | 0.9972 | 0.9986 |
| No log | 3.5 | 182 | 1.0258 | 0.3328 | 1.0258 | 1.0128 |
| No log | 3.5385 | 184 | 0.9817 | 0.2526 | 0.9817 | 0.9908 |
| No log | 3.5769 | 186 | 0.9664 | 0.3209 | 0.9664 | 0.9830 |
| No log | 3.6154 | 188 | 1.0188 | 0.3338 | 1.0188 | 1.0094 |
| No log | 3.6538 | 190 | 1.1044 | 0.3369 | 1.1044 | 1.0509 |
| No log | 3.6923 | 192 | 1.1520 | 0.3237 | 1.1520 | 1.0733 |
| No log | 3.7308 | 194 | 1.1643 | 0.3551 | 1.1643 | 1.0790 |
| No log | 3.7692 | 196 | 1.0508 | 0.3475 | 1.0508 | 1.0251 |
| No log | 3.8077 | 198 | 0.9754 | 0.3475 | 0.9754 | 0.9876 |
| No log | 3.8462 | 200 | 0.9525 | 0.3733 | 0.9525 | 0.9760 |
| No log | 3.8846 | 202 | 0.9591 | 0.3672 | 0.9591 | 0.9794 |
| No log | 3.9231 | 204 | 0.9478 | 0.4469 | 0.9478 | 0.9735 |
| No log | 3.9615 | 206 | 0.9740 | 0.4861 | 0.9740 | 0.9869 |
| No log | 4.0 | 208 | 0.9737 | 0.5002 | 0.9737 | 0.9868 |
| No log | 4.0385 | 210 | 0.9951 | 0.4309 | 0.9951 | 0.9975 |
| No log | 4.0769 | 212 | 1.0500 | 0.3427 | 1.0500 | 1.0247 |
| No log | 4.1154 | 214 | 1.1431 | 0.3452 | 1.1431 | 1.0692 |
| No log | 4.1538 | 216 | 1.0583 | 0.3103 | 1.0583 | 1.0287 |
| No log | 4.1923 | 218 | 0.9115 | 0.4488 | 0.9115 | 0.9547 |
| No log | 4.2308 | 220 | 0.9705 | 0.4710 | 0.9705 | 0.9852 |
| No log | 4.2692 | 222 | 0.9744 | 0.4681 | 0.9744 | 0.9871 |
| No log | 4.3077 | 224 | 0.8955 | 0.4444 | 0.8955 | 0.9463 |
| No log | 4.3462 | 226 | 0.9039 | 0.4421 | 0.9039 | 0.9507 |
| No log | 4.3846 | 228 | 0.9561 | 0.3308 | 0.9561 | 0.9778 |
| No log | 4.4231 | 230 | 0.9974 | 0.2895 | 0.9974 | 0.9987 |
| No log | 4.4615 | 232 | 0.9503 | 0.3185 | 0.9503 | 0.9748 |
| No log | 4.5 | 234 | 0.8668 | 0.4450 | 0.8668 | 0.9310 |
| No log | 4.5385 | 236 | 0.8383 | 0.4204 | 0.8383 | 0.9156 |
| No log | 4.5769 | 238 | 0.8311 | 0.2888 | 0.8311 | 0.9117 |
| No log | 4.6154 | 240 | 0.8506 | 0.2643 | 0.8506 | 0.9223 |
| No log | 4.6538 | 242 | 0.8677 | 0.2316 | 0.8677 | 0.9315 |
| No log | 4.6923 | 244 | 0.8652 | 0.2643 | 0.8652 | 0.9302 |
| No log | 4.7308 | 246 | 0.8530 | 0.2956 | 0.8530 | 0.9236 |
| No log | 4.7692 | 248 | 0.8476 | 0.3216 | 0.8476 | 0.9206 |
| No log | 4.8077 | 250 | 0.8235 | 0.3257 | 0.8235 | 0.9074 |
| No log | 4.8462 | 252 | 0.7999 | 0.2954 | 0.7999 | 0.8944 |
| No log | 4.8846 | 254 | 0.7988 | 0.3994 | 0.7988 | 0.8938 |
| No log | 4.9231 | 256 | 0.8375 | 0.4712 | 0.8375 | 0.9151 |
| No log | 4.9615 | 258 | 0.8571 | 0.5074 | 0.8571 | 0.9258 |
| No log | 5.0 | 260 | 0.8868 | 0.4681 | 0.8868 | 0.9417 |
| No log | 5.0385 | 262 | 0.8520 | 0.3757 | 0.8520 | 0.9230 |
| No log | 5.0769 | 264 | 0.8097 | 0.3583 | 0.8097 | 0.8998 |
| No log | 5.1154 | 266 | 0.8481 | 0.3896 | 0.8481 | 0.9209 |
| No log | 5.1538 | 268 | 0.8540 | 0.3645 | 0.8540 | 0.9241 |
| No log | 5.1923 | 270 | 0.8316 | 0.3478 | 0.8316 | 0.9119 |
| No log | 5.2308 | 272 | 0.8285 | 0.2865 | 0.8285 | 0.9102 |
| No log | 5.2692 | 274 | 0.8611 | 0.3678 | 0.8611 | 0.9279 |
| No log | 5.3077 | 276 | 0.8954 | 0.4843 | 0.8954 | 0.9463 |
| No log | 5.3462 | 278 | 0.9135 | 0.4829 | 0.9135 | 0.9558 |
| No log | 5.3846 | 280 | 0.8260 | 0.4289 | 0.8260 | 0.9088 |
| No log | 5.4231 | 282 | 0.8200 | 0.4261 | 0.8200 | 0.9056 |
| No log | 5.4615 | 284 | 0.8415 | 0.3925 | 0.8415 | 0.9173 |
| No log | 5.5 | 286 | 0.8502 | 0.4517 | 0.8502 | 0.9221 |
| No log | 5.5385 | 288 | 0.8619 | 0.4034 | 0.8619 | 0.9284 |
| No log | 5.5769 | 290 | 0.8558 | 0.3503 | 0.8558 | 0.9251 |
| No log | 5.6154 | 292 | 0.9244 | 0.4729 | 0.9244 | 0.9614 |
| No log | 5.6538 | 294 | 0.9957 | 0.4214 | 0.9957 | 0.9978 |
| No log | 5.6923 | 296 | 0.9831 | 0.3543 | 0.9831 | 0.9915 |
| No log | 5.7308 | 298 | 0.9347 | 0.3414 | 0.9347 | 0.9668 |
| No log | 5.7692 | 300 | 0.9214 | 0.3314 | 0.9214 | 0.9599 |
| No log | 5.8077 | 302 | 0.9117 | 0.3074 | 0.9117 | 0.9548 |
| No log | 5.8462 | 304 | 0.9155 | 0.3367 | 0.9155 | 0.9568 |
| No log | 5.8846 | 306 | 0.9288 | 0.4385 | 0.9288 | 0.9637 |
| No log | 5.9231 | 308 | 0.9006 | 0.4385 | 0.9006 | 0.9490 |
| No log | 5.9615 | 310 | 0.8453 | 0.4515 | 0.8453 | 0.9194 |
| No log | 6.0 | 312 | 0.8358 | 0.4048 | 0.8358 | 0.9142 |
| No log | 6.0385 | 314 | 0.8555 | 0.4158 | 0.8555 | 0.9249 |
| No log | 6.0769 | 316 | 0.9439 | 0.4385 | 0.9439 | 0.9716 |
| No log | 6.1154 | 318 | 1.0856 | 0.3535 | 1.0856 | 1.0419 |
| No log | 6.1538 | 320 | 1.1212 | 0.1855 | 1.1212 | 1.0589 |
| No log | 6.1923 | 322 | 1.0557 | 0.1786 | 1.0557 | 1.0275 |
| No log | 6.2308 | 324 | 0.9575 | 0.3455 | 0.9575 | 0.9785 |
| No log | 6.2692 | 326 | 0.8977 | 0.3455 | 0.8977 | 0.9475 |
| No log | 6.3077 | 328 | 0.8687 | 0.3134 | 0.8687 | 0.9320 |
| No log | 6.3462 | 330 | 0.8613 | 0.3556 | 0.8613 | 0.9280 |
| No log | 6.3846 | 332 | 0.8664 | 0.4385 | 0.8664 | 0.9308 |
| No log | 6.4231 | 334 | 0.8637 | 0.4076 | 0.8637 | 0.9293 |
| No log | 6.4615 | 336 | 0.8682 | 0.3891 | 0.8682 | 0.9318 |
| No log | 6.5 | 338 | 0.8626 | 0.3412 | 0.8626 | 0.9288 |
| No log | 6.5385 | 340 | 0.8401 | 0.4252 | 0.8401 | 0.9166 |
| No log | 6.5769 | 342 | 0.8368 | 0.4439 | 0.8368 | 0.9148 |
| No log | 6.6154 | 344 | 0.9503 | 0.4250 | 0.9503 | 0.9748 |
| No log | 6.6538 | 346 | 0.9724 | 0.4465 | 0.9724 | 0.9861 |
| No log | 6.6923 | 348 | 0.8920 | 0.4361 | 0.8920 | 0.9444 |
| No log | 6.7308 | 350 | 0.8943 | 0.3137 | 0.8943 | 0.9457 |
| No log | 6.7692 | 352 | 0.9364 | 0.4053 | 0.9364 | 0.9677 |
| No log | 6.8077 | 354 | 0.9003 | 0.4300 | 0.9003 | 0.9489 |
| No log | 6.8462 | 356 | 0.8611 | 0.4122 | 0.8611 | 0.9280 |
| No log | 6.8846 | 358 | 0.8984 | 0.4604 | 0.8984 | 0.9478 |
| No log | 6.9231 | 360 | 0.8679 | 0.4164 | 0.8679 | 0.9316 |
| No log | 6.9615 | 362 | 0.8408 | 0.4 | 0.8408 | 0.9170 |
| No log | 7.0 | 364 | 0.8453 | 0.4252 | 0.8453 | 0.9194 |
| No log | 7.0385 | 366 | 0.8500 | 0.3874 | 0.8500 | 0.9219 |
| No log | 7.0769 | 368 | 0.8628 | 0.4030 | 0.8628 | 0.9289 |
| No log | 7.1154 | 370 | 0.8577 | 0.3505 | 0.8577 | 0.9261 |
| No log | 7.1538 | 372 | 0.8963 | 0.3250 | 0.8963 | 0.9467 |
| No log | 7.1923 | 374 | 0.9352 | 0.3902 | 0.9352 | 0.9670 |
| No log | 7.2308 | 376 | 0.9279 | 0.4039 | 0.9279 | 0.9633 |
| No log | 7.2692 | 378 | 0.8898 | 0.4039 | 0.8898 | 0.9433 |
| No log | 7.3077 | 380 | 0.8080 | 0.4612 | 0.8080 | 0.8989 |
| No log | 7.3462 | 382 | 0.7867 | 0.3685 | 0.7867 | 0.8870 |
| No log | 7.3846 | 384 | 0.7994 | 0.3685 | 0.7994 | 0.8941 |
| No log | 7.4231 | 386 | 0.8188 | 0.4531 | 0.8188 | 0.9049 |
| No log | 7.4615 | 388 | 0.8224 | 0.4531 | 0.8224 | 0.9069 |
| No log | 7.5 | 390 | 0.8330 | 0.4279 | 0.8330 | 0.9127 |
| No log | 7.5385 | 392 | 0.8168 | 0.4251 | 0.8168 | 0.9038 |
| No log | 7.5769 | 394 | 0.8087 | 0.3836 | 0.8087 | 0.8993 |
| No log | 7.6154 | 396 | 0.8738 | 0.4557 | 0.8738 | 0.9348 |
| No log | 7.6538 | 398 | 0.8859 | 0.3927 | 0.8859 | 0.9412 |
| No log | 7.6923 | 400 | 0.8289 | 0.3517 | 0.8289 | 0.9105 |
| No log | 7.7308 | 402 | 0.8213 | 0.3596 | 0.8213 | 0.9063 |
| No log | 7.7692 | 404 | 0.8744 | 0.4231 | 0.8744 | 0.9351 |
| No log | 7.8077 | 406 | 0.8970 | 0.4343 | 0.8970 | 0.9471 |
| No log | 7.8462 | 408 | 0.8569 | 0.4359 | 0.8569 | 0.9257 |
| No log | 7.8846 | 410 | 0.8073 | 0.4378 | 0.8073 | 0.8985 |
| No log | 7.9231 | 412 | 0.8095 | 0.4455 | 0.8095 | 0.8997 |
| No log | 7.9615 | 414 | 0.8226 | 0.3855 | 0.8226 | 0.9070 |
| No log | 8.0 | 416 | 0.8476 | 0.4115 | 0.8476 | 0.9207 |
| No log | 8.0385 | 418 | 0.8650 | 0.4234 | 0.8650 | 0.9300 |
| No log | 8.0769 | 420 | 0.8587 | 0.3697 | 0.8587 | 0.9267 |
| No log | 8.1154 | 422 | 0.8148 | 0.3717 | 0.8148 | 0.9027 |
| No log | 8.1538 | 424 | 0.8016 | 0.3356 | 0.8016 | 0.8953 |
| No log | 8.1923 | 426 | 0.7856 | 0.3356 | 0.7856 | 0.8863 |
| No log | 8.2308 | 428 | 0.7747 | 0.3596 | 0.7747 | 0.8802 |
| No log | 8.2692 | 430 | 0.7935 | 0.4251 | 0.7935 | 0.8908 |
| No log | 8.3077 | 432 | 0.7984 | 0.4251 | 0.7984 | 0.8935 |
| No log | 8.3462 | 434 | 0.7956 | 0.4251 | 0.7956 | 0.8920 |
| No log | 8.3846 | 436 | 0.7982 | 0.4743 | 0.7982 | 0.8934 |
| No log | 8.4231 | 438 | 0.7714 | 0.4395 | 0.7714 | 0.8783 |
| No log | 8.4615 | 440 | 0.7670 | 0.4527 | 0.7670 | 0.8758 |
| No log | 8.5 | 442 | 0.7701 | 0.3642 | 0.7701 | 0.8776 |
| No log | 8.5385 | 444 | 0.7799 | 0.3915 | 0.7799 | 0.8831 |
| No log | 8.5769 | 446 | 0.7839 | 0.3056 | 0.7839 | 0.8854 |
| No log | 8.6154 | 448 | 0.8198 | 0.4378 | 0.8198 | 0.9054 |
| No log | 8.6538 | 450 | 0.8476 | 0.4361 | 0.8476 | 0.9206 |
| No log | 8.6923 | 452 | 0.8357 | 0.4261 | 0.8357 | 0.9142 |
| No log | 8.7308 | 454 | 0.8131 | 0.3878 | 0.8131 | 0.9017 |
| No log | 8.7692 | 456 | 0.8055 | 0.3878 | 0.8055 | 0.8975 |
| No log | 8.8077 | 458 | 0.8106 | 0.3878 | 0.8106 | 0.9003 |
| No log | 8.8462 | 460 | 0.8299 | 0.4115 | 0.8299 | 0.9110 |
| No log | 8.8846 | 462 | 0.9024 | 0.4350 | 0.9024 | 0.9500 |
| No log | 8.9231 | 464 | 0.9466 | 0.4094 | 0.9466 | 0.9729 |
| No log | 8.9615 | 466 | 0.8792 | 0.4599 | 0.8792 | 0.9377 |
| No log | 9.0 | 468 | 0.8194 | 0.3977 | 0.8194 | 0.9052 |
| No log | 9.0385 | 470 | 0.8116 | 0.3859 | 0.8116 | 0.9009 |
| No log | 9.0769 | 472 | 0.8163 | 0.3685 | 0.8163 | 0.9035 |
| No log | 9.1154 | 474 | 0.8213 | 0.3544 | 0.8213 | 0.9062 |
| No log | 9.1538 | 476 | 0.8202 | 0.3544 | 0.8202 | 0.9056 |
| No log | 9.1923 | 478 | 0.8218 | 0.3215 | 0.8218 | 0.9065 |
| No log | 9.2308 | 480 | 0.8491 | 0.3697 | 0.8491 | 0.9215 |
| No log | 9.2692 | 482 | 0.9082 | 0.3921 | 0.9082 | 0.9530 |
| No log | 9.3077 | 484 | 0.9306 | 0.3782 | 0.9306 | 0.9647 |
| No log | 9.3462 | 486 | 0.9027 | 0.3780 | 0.9027 | 0.9501 |
| No log | 9.3846 | 488 | 0.8448 | 0.3388 | 0.8448 | 0.9191 |
| No log | 9.4231 | 490 | 0.8401 | 0.3271 | 0.8401 | 0.9165 |
| No log | 9.4615 | 492 | 0.8512 | 0.3532 | 0.8512 | 0.9226 |
| No log | 9.5 | 494 | 0.8481 | 0.3666 | 0.8481 | 0.9209 |
| No log | 9.5385 | 496 | 0.8484 | 0.3323 | 0.8484 | 0.9211 |
| No log | 9.5769 | 498 | 0.8405 | 0.3323 | 0.8405 | 0.9168 |
| 0.2902 | 9.6154 | 500 | 0.8369 | 0.3697 | 0.8369 | 0.9148 |
| 0.2902 | 9.6538 | 502 | 0.8506 | 0.3819 | 0.8506 | 0.9223 |
| 0.2902 | 9.6923 | 504 | 0.8519 | 0.3941 | 0.8519 | 0.9230 |
| 0.2902 | 9.7308 | 506 | 0.8482 | 0.3941 | 0.8482 | 0.9210 |
| 0.2902 | 9.7692 | 508 | 0.8596 | 0.3941 | 0.8596 | 0.9272 |
| 0.2902 | 9.8077 | 510 | 0.8808 | 0.3941 | 0.8808 | 0.9385 |
| 0.2902 | 9.8462 | 512 | 0.8719 | 0.3652 | 0.8719 | 0.9338 |
| 0.2902 | 9.8846 | 514 | 0.8662 | 0.3652 | 0.8662 | 0.9307 |
| 0.2902 | 9.9231 | 516 | 0.8516 | 0.3280 | 0.8516 | 0.9228 |
| 0.2902 | 9.9615 | 518 | 0.8431 | 0.3033 | 0.8431 | 0.9182 |
| 0.2902 | 10.0 | 520 | 0.8475 | 0.3280 | 0.8475 | 0.9206 |
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_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_task5_organization
Base model
aubmindlab/bert-base-arabertv02