Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k9_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k9_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k9_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k9_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k9_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k9_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: 1.1125
- Qwk: 0.5768
- Mse: 1.1125
- Rmse: 1.0548
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 | 0.0444 | 2 | 5.7080 | -0.0594 | 5.7080 | 2.3892 |
| No log | 0.0889 | 4 | 3.1710 | 0.0497 | 3.1710 | 1.7807 |
| No log | 0.1333 | 6 | 2.6967 | -0.1177 | 2.6967 | 1.6422 |
| No log | 0.1778 | 8 | 2.5595 | -0.1298 | 2.5595 | 1.5998 |
| No log | 0.2222 | 10 | 1.8361 | 0.0198 | 1.8361 | 1.3550 |
| No log | 0.2667 | 12 | 1.5968 | -0.0338 | 1.5968 | 1.2637 |
| No log | 0.3111 | 14 | 1.3164 | 0.1291 | 1.3164 | 1.1473 |
| No log | 0.3556 | 16 | 1.2558 | 0.1799 | 1.2558 | 1.1206 |
| No log | 0.4 | 18 | 1.1997 | 0.2365 | 1.1997 | 1.0953 |
| No log | 0.4444 | 20 | 1.1676 | 0.2082 | 1.1676 | 1.0806 |
| No log | 0.4889 | 22 | 1.1506 | 0.3058 | 1.1506 | 1.0727 |
| No log | 0.5333 | 24 | 1.1431 | 0.3275 | 1.1431 | 1.0692 |
| No log | 0.5778 | 26 | 1.1203 | 0.3252 | 1.1203 | 1.0584 |
| No log | 0.6222 | 28 | 1.1246 | 0.2013 | 1.1246 | 1.0605 |
| No log | 0.6667 | 30 | 1.2345 | 0.1360 | 1.2345 | 1.1111 |
| No log | 0.7111 | 32 | 1.3803 | 0.1094 | 1.3803 | 1.1749 |
| No log | 0.7556 | 34 | 1.4850 | 0.0792 | 1.4850 | 1.2186 |
| No log | 0.8 | 36 | 1.3925 | 0.1380 | 1.3925 | 1.1800 |
| No log | 0.8444 | 38 | 1.1493 | 0.1497 | 1.1493 | 1.0720 |
| No log | 0.8889 | 40 | 1.1140 | 0.1299 | 1.1140 | 1.0555 |
| No log | 0.9333 | 42 | 1.1185 | 0.1679 | 1.1185 | 1.0576 |
| No log | 0.9778 | 44 | 1.0840 | 0.2032 | 1.0840 | 1.0411 |
| No log | 1.0222 | 46 | 1.0572 | 0.2977 | 1.0572 | 1.0282 |
| No log | 1.0667 | 48 | 1.0672 | 0.3771 | 1.0671 | 1.0330 |
| No log | 1.1111 | 50 | 1.1055 | 0.3669 | 1.1055 | 1.0514 |
| No log | 1.1556 | 52 | 1.1558 | 0.3258 | 1.1558 | 1.0751 |
| No log | 1.2 | 54 | 1.0910 | 0.3648 | 1.0910 | 1.0445 |
| No log | 1.2444 | 56 | 1.0223 | 0.3190 | 1.0223 | 1.0111 |
| No log | 1.2889 | 58 | 1.0596 | 0.2535 | 1.0596 | 1.0294 |
| No log | 1.3333 | 60 | 1.0763 | 0.1843 | 1.0763 | 1.0374 |
| No log | 1.3778 | 62 | 1.0770 | 0.2253 | 1.0770 | 1.0378 |
| No log | 1.4222 | 64 | 1.1513 | 0.2737 | 1.1513 | 1.0730 |
| No log | 1.4667 | 66 | 1.1913 | 0.2752 | 1.1913 | 1.0915 |
| No log | 1.5111 | 68 | 1.0385 | 0.3324 | 1.0385 | 1.0190 |
| No log | 1.5556 | 70 | 0.9224 | 0.3775 | 0.9224 | 0.9604 |
| No log | 1.6 | 72 | 0.9063 | 0.3482 | 0.9063 | 0.9520 |
| No log | 1.6444 | 74 | 0.8895 | 0.3781 | 0.8895 | 0.9431 |
| No log | 1.6889 | 76 | 0.8988 | 0.3682 | 0.8988 | 0.9480 |
| No log | 1.7333 | 78 | 0.9275 | 0.3338 | 0.9275 | 0.9630 |
| No log | 1.7778 | 80 | 0.9933 | 0.4141 | 0.9933 | 0.9967 |
| No log | 1.8222 | 82 | 1.0508 | 0.4840 | 1.0508 | 1.0251 |
| No log | 1.8667 | 84 | 1.0234 | 0.5109 | 1.0234 | 1.0117 |
| No log | 1.9111 | 86 | 0.9499 | 0.4989 | 0.9499 | 0.9746 |
| No log | 1.9556 | 88 | 0.8853 | 0.3961 | 0.8853 | 0.9409 |
| No log | 2.0 | 90 | 0.9021 | 0.4283 | 0.9021 | 0.9498 |
| No log | 2.0444 | 92 | 0.9603 | 0.3875 | 0.9603 | 0.9800 |
| No log | 2.0889 | 94 | 0.8914 | 0.4534 | 0.8914 | 0.9442 |
| No log | 2.1333 | 96 | 0.9012 | 0.4410 | 0.9012 | 0.9493 |
| No log | 2.1778 | 98 | 1.1232 | 0.3651 | 1.1232 | 1.0598 |
| No log | 2.2222 | 100 | 1.2127 | 0.4048 | 1.2127 | 1.1012 |
| No log | 2.2667 | 102 | 1.2286 | 0.3995 | 1.2286 | 1.1084 |
| No log | 2.3111 | 104 | 1.1480 | 0.4584 | 1.1480 | 1.0715 |
| No log | 2.3556 | 106 | 0.9800 | 0.4881 | 0.9800 | 0.9900 |
| No log | 2.4 | 108 | 0.8855 | 0.5201 | 0.8855 | 0.9410 |
| No log | 2.4444 | 110 | 0.8920 | 0.4903 | 0.8920 | 0.9444 |
| No log | 2.4889 | 112 | 0.8974 | 0.4472 | 0.8974 | 0.9473 |
| No log | 2.5333 | 114 | 0.8493 | 0.4742 | 0.8493 | 0.9216 |
| No log | 2.5778 | 116 | 0.7958 | 0.5310 | 0.7958 | 0.8921 |
| No log | 2.6222 | 118 | 0.8171 | 0.5636 | 0.8171 | 0.9040 |
| No log | 2.6667 | 120 | 0.9027 | 0.5774 | 0.9027 | 0.9501 |
| No log | 2.7111 | 122 | 1.0711 | 0.4868 | 1.0711 | 1.0350 |
| No log | 2.7556 | 124 | 1.2302 | 0.3859 | 1.2302 | 1.1092 |
| No log | 2.8 | 126 | 1.3595 | 0.3640 | 1.3595 | 1.1660 |
| No log | 2.8444 | 128 | 1.3891 | 0.3640 | 1.3891 | 1.1786 |
| No log | 2.8889 | 130 | 1.3204 | 0.3755 | 1.3204 | 1.1491 |
| No log | 2.9333 | 132 | 1.1563 | 0.4437 | 1.1563 | 1.0753 |
| No log | 2.9778 | 134 | 0.9478 | 0.5135 | 0.9478 | 0.9735 |
| No log | 3.0222 | 136 | 0.8571 | 0.5004 | 0.8571 | 0.9258 |
| No log | 3.0667 | 138 | 0.8323 | 0.4922 | 0.8323 | 0.9123 |
| No log | 3.1111 | 140 | 0.8389 | 0.4866 | 0.8389 | 0.9159 |
| No log | 3.1556 | 142 | 0.8700 | 0.5725 | 0.8700 | 0.9327 |
| No log | 3.2 | 144 | 0.9401 | 0.5035 | 0.9401 | 0.9696 |
| No log | 3.2444 | 146 | 1.0058 | 0.4928 | 1.0058 | 1.0029 |
| No log | 3.2889 | 148 | 1.0515 | 0.5185 | 1.0515 | 1.0254 |
| No log | 3.3333 | 150 | 1.0657 | 0.5285 | 1.0657 | 1.0323 |
| No log | 3.3778 | 152 | 1.1072 | 0.4804 | 1.1072 | 1.0523 |
| No log | 3.4222 | 154 | 1.2094 | 0.4323 | 1.2094 | 1.0997 |
| No log | 3.4667 | 156 | 1.2260 | 0.4722 | 1.2260 | 1.1072 |
| No log | 3.5111 | 158 | 1.2256 | 0.3962 | 1.2256 | 1.1071 |
| No log | 3.5556 | 160 | 1.2192 | 0.4030 | 1.2192 | 1.1042 |
| No log | 3.6 | 162 | 1.1314 | 0.4553 | 1.1314 | 1.0637 |
| No log | 3.6444 | 164 | 0.9596 | 0.5651 | 0.9596 | 0.9796 |
| No log | 3.6889 | 166 | 0.8276 | 0.5874 | 0.8276 | 0.9097 |
| No log | 3.7333 | 168 | 0.7198 | 0.6442 | 0.7198 | 0.8484 |
| No log | 3.7778 | 170 | 0.7008 | 0.5778 | 0.7008 | 0.8371 |
| No log | 3.8222 | 172 | 0.6793 | 0.6478 | 0.6793 | 0.8242 |
| No log | 3.8667 | 174 | 0.6904 | 0.6608 | 0.6904 | 0.8309 |
| No log | 3.9111 | 176 | 0.7901 | 0.6182 | 0.7901 | 0.8889 |
| No log | 3.9556 | 178 | 0.9148 | 0.5770 | 0.9148 | 0.9565 |
| No log | 4.0 | 180 | 1.0345 | 0.5339 | 1.0345 | 1.0171 |
| No log | 4.0444 | 182 | 1.0016 | 0.5573 | 1.0016 | 1.0008 |
| No log | 4.0889 | 184 | 0.8575 | 0.5867 | 0.8575 | 0.9260 |
| No log | 4.1333 | 186 | 0.7475 | 0.6705 | 0.7475 | 0.8646 |
| No log | 4.1778 | 188 | 0.7191 | 0.6693 | 0.7191 | 0.8480 |
| No log | 4.2222 | 190 | 0.6905 | 0.6514 | 0.6905 | 0.8310 |
| No log | 4.2667 | 192 | 0.6861 | 0.6463 | 0.6861 | 0.8283 |
| No log | 4.3111 | 194 | 0.6915 | 0.6098 | 0.6915 | 0.8315 |
| No log | 4.3556 | 196 | 0.7663 | 0.6328 | 0.7663 | 0.8754 |
| No log | 4.4 | 198 | 1.0358 | 0.5733 | 1.0358 | 1.0177 |
| No log | 4.4444 | 200 | 1.3529 | 0.4240 | 1.3529 | 1.1631 |
| No log | 4.4889 | 202 | 1.5737 | 0.3553 | 1.5737 | 1.2545 |
| No log | 4.5333 | 204 | 1.5336 | 0.3533 | 1.5336 | 1.2384 |
| No log | 4.5778 | 206 | 1.2766 | 0.4448 | 1.2766 | 1.1299 |
| No log | 4.6222 | 208 | 1.0349 | 0.5082 | 1.0349 | 1.0173 |
| No log | 4.6667 | 210 | 0.9007 | 0.6331 | 0.9007 | 0.9491 |
| No log | 4.7111 | 212 | 0.8017 | 0.6242 | 0.8017 | 0.8954 |
| No log | 4.7556 | 214 | 0.7750 | 0.6339 | 0.7750 | 0.8803 |
| No log | 4.8 | 216 | 0.8381 | 0.6198 | 0.8381 | 0.9155 |
| No log | 4.8444 | 218 | 0.9322 | 0.5656 | 0.9322 | 0.9655 |
| No log | 4.8889 | 220 | 0.9624 | 0.5695 | 0.9624 | 0.9810 |
| No log | 4.9333 | 222 | 0.9767 | 0.5719 | 0.9767 | 0.9883 |
| No log | 4.9778 | 224 | 0.9604 | 0.5638 | 0.9604 | 0.9800 |
| No log | 5.0222 | 226 | 0.9242 | 0.5813 | 0.9242 | 0.9614 |
| No log | 5.0667 | 228 | 0.8743 | 0.5636 | 0.8743 | 0.9350 |
| No log | 5.1111 | 230 | 0.8436 | 0.6036 | 0.8436 | 0.9185 |
| No log | 5.1556 | 232 | 0.8708 | 0.5795 | 0.8708 | 0.9332 |
| No log | 5.2 | 234 | 0.8344 | 0.6241 | 0.8344 | 0.9134 |
| No log | 5.2444 | 236 | 0.8381 | 0.6241 | 0.8381 | 0.9155 |
| No log | 5.2889 | 238 | 0.8249 | 0.6366 | 0.8249 | 0.9083 |
| No log | 5.3333 | 240 | 0.8492 | 0.6070 | 0.8492 | 0.9215 |
| No log | 5.3778 | 242 | 1.0201 | 0.5271 | 1.0201 | 1.0100 |
| No log | 5.4222 | 244 | 1.1092 | 0.5347 | 1.1092 | 1.0532 |
| No log | 5.4667 | 246 | 1.0682 | 0.5444 | 1.0682 | 1.0335 |
| No log | 5.5111 | 248 | 1.0706 | 0.5577 | 1.0706 | 1.0347 |
| No log | 5.5556 | 250 | 1.2000 | 0.4887 | 1.2000 | 1.0954 |
| No log | 5.6 | 252 | 1.3056 | 0.4660 | 1.3056 | 1.1426 |
| No log | 5.6444 | 254 | 1.4861 | 0.3934 | 1.4861 | 1.2190 |
| No log | 5.6889 | 256 | 1.4819 | 0.4015 | 1.4819 | 1.2173 |
| No log | 5.7333 | 258 | 1.3358 | 0.4674 | 1.3358 | 1.1558 |
| No log | 5.7778 | 260 | 1.2300 | 0.5099 | 1.2300 | 1.1090 |
| No log | 5.8222 | 262 | 1.0571 | 0.5328 | 1.0571 | 1.0281 |
| No log | 5.8667 | 264 | 1.0024 | 0.5696 | 1.0024 | 1.0012 |
| No log | 5.9111 | 266 | 1.0424 | 0.5340 | 1.0424 | 1.0210 |
| No log | 5.9556 | 268 | 1.1165 | 0.5223 | 1.1165 | 1.0567 |
| No log | 6.0 | 270 | 1.0501 | 0.5494 | 1.0501 | 1.0247 |
| No log | 6.0444 | 272 | 0.9118 | 0.6055 | 0.9118 | 0.9549 |
| No log | 6.0889 | 274 | 0.8420 | 0.6409 | 0.8420 | 0.9176 |
| No log | 6.1333 | 276 | 0.8146 | 0.6405 | 0.8146 | 0.9025 |
| No log | 6.1778 | 278 | 0.8134 | 0.6405 | 0.8134 | 0.9019 |
| No log | 6.2222 | 280 | 0.8193 | 0.6509 | 0.8193 | 0.9052 |
| No log | 6.2667 | 282 | 0.9134 | 0.6087 | 0.9134 | 0.9557 |
| No log | 6.3111 | 284 | 0.8589 | 0.6324 | 0.8589 | 0.9268 |
| No log | 6.3556 | 286 | 0.7295 | 0.6584 | 0.7295 | 0.8541 |
| No log | 6.4 | 288 | 0.7055 | 0.6542 | 0.7055 | 0.8399 |
| No log | 6.4444 | 290 | 0.8199 | 0.6387 | 0.8199 | 0.9055 |
| No log | 6.4889 | 292 | 0.9595 | 0.5990 | 0.9595 | 0.9795 |
| No log | 6.5333 | 294 | 1.1004 | 0.5698 | 1.1004 | 1.0490 |
| No log | 6.5778 | 296 | 1.0956 | 0.5465 | 1.0956 | 1.0467 |
| No log | 6.6222 | 298 | 1.0747 | 0.5588 | 1.0747 | 1.0367 |
| No log | 6.6667 | 300 | 1.0891 | 0.5423 | 1.0891 | 1.0436 |
| No log | 6.7111 | 302 | 1.0695 | 0.5658 | 1.0695 | 1.0342 |
| No log | 6.7556 | 304 | 0.9810 | 0.5953 | 0.9810 | 0.9905 |
| No log | 6.8 | 306 | 0.9236 | 0.6114 | 0.9236 | 0.9611 |
| No log | 6.8444 | 308 | 0.9371 | 0.5977 | 0.9371 | 0.9680 |
| No log | 6.8889 | 310 | 0.9613 | 0.6037 | 0.9613 | 0.9804 |
| No log | 6.9333 | 312 | 0.9502 | 0.6203 | 0.9502 | 0.9748 |
| No log | 6.9778 | 314 | 0.9491 | 0.6226 | 0.9491 | 0.9742 |
| No log | 7.0222 | 316 | 0.9558 | 0.6122 | 0.9558 | 0.9777 |
| No log | 7.0667 | 318 | 0.9668 | 0.6068 | 0.9668 | 0.9832 |
| No log | 7.1111 | 320 | 0.9733 | 0.5880 | 0.9733 | 0.9865 |
| No log | 7.1556 | 322 | 0.9425 | 0.6006 | 0.9425 | 0.9708 |
| No log | 7.2 | 324 | 0.9359 | 0.5921 | 0.9359 | 0.9674 |
| No log | 7.2444 | 326 | 0.9817 | 0.5793 | 0.9817 | 0.9908 |
| No log | 7.2889 | 328 | 1.0672 | 0.5659 | 1.0672 | 1.0331 |
| No log | 7.3333 | 330 | 1.0739 | 0.5648 | 1.0739 | 1.0363 |
| No log | 7.3778 | 332 | 1.0767 | 0.5253 | 1.0767 | 1.0376 |
| No log | 7.4222 | 334 | 0.9799 | 0.5619 | 0.9799 | 0.9899 |
| No log | 7.4667 | 336 | 0.8830 | 0.6045 | 0.8830 | 0.9397 |
| No log | 7.5111 | 338 | 0.8805 | 0.6172 | 0.8805 | 0.9384 |
| No log | 7.5556 | 340 | 0.8540 | 0.6116 | 0.8540 | 0.9241 |
| No log | 7.6 | 342 | 0.9240 | 0.5640 | 0.9240 | 0.9612 |
| No log | 7.6444 | 344 | 0.9387 | 0.5613 | 0.9387 | 0.9689 |
| No log | 7.6889 | 346 | 1.0225 | 0.5477 | 1.0225 | 1.0112 |
| No log | 7.7333 | 348 | 1.0942 | 0.5456 | 1.0942 | 1.0460 |
| No log | 7.7778 | 350 | 0.9537 | 0.5917 | 0.9537 | 0.9766 |
| No log | 7.8222 | 352 | 0.7947 | 0.6505 | 0.7947 | 0.8915 |
| No log | 7.8667 | 354 | 0.7308 | 0.6458 | 0.7308 | 0.8549 |
| No log | 7.9111 | 356 | 0.6955 | 0.6390 | 0.6955 | 0.8340 |
| No log | 7.9556 | 358 | 0.6626 | 0.6705 | 0.6626 | 0.8140 |
| No log | 8.0 | 360 | 0.6982 | 0.6843 | 0.6982 | 0.8356 |
| No log | 8.0444 | 362 | 0.7746 | 0.7008 | 0.7746 | 0.8801 |
| No log | 8.0889 | 364 | 0.8669 | 0.6431 | 0.8669 | 0.9311 |
| No log | 8.1333 | 366 | 0.8361 | 0.6395 | 0.8361 | 0.9144 |
| No log | 8.1778 | 368 | 0.8252 | 0.6422 | 0.8252 | 0.9084 |
| No log | 8.2222 | 370 | 0.8488 | 0.6162 | 0.8488 | 0.9213 |
| No log | 8.2667 | 372 | 0.8420 | 0.5887 | 0.8420 | 0.9176 |
| No log | 8.3111 | 374 | 0.8901 | 0.5823 | 0.8901 | 0.9435 |
| No log | 8.3556 | 376 | 0.9102 | 0.5838 | 0.9102 | 0.9540 |
| No log | 8.4 | 378 | 0.9567 | 0.5611 | 0.9567 | 0.9781 |
| No log | 8.4444 | 380 | 1.0026 | 0.5719 | 1.0026 | 1.0013 |
| No log | 8.4889 | 382 | 0.9422 | 0.5579 | 0.9422 | 0.9707 |
| No log | 8.5333 | 384 | 0.9013 | 0.6019 | 0.9013 | 0.9494 |
| No log | 8.5778 | 386 | 0.9489 | 0.6034 | 0.9489 | 0.9741 |
| No log | 8.6222 | 388 | 0.9412 | 0.5938 | 0.9412 | 0.9702 |
| No log | 8.6667 | 390 | 0.9777 | 0.5681 | 0.9777 | 0.9888 |
| No log | 8.7111 | 392 | 1.0687 | 0.5612 | 1.0687 | 1.0338 |
| No log | 8.7556 | 394 | 1.0373 | 0.5931 | 1.0373 | 1.0185 |
| No log | 8.8 | 396 | 0.9860 | 0.6041 | 0.9860 | 0.9930 |
| No log | 8.8444 | 398 | 0.9013 | 0.6210 | 0.9013 | 0.9494 |
| No log | 8.8889 | 400 | 0.8139 | 0.6233 | 0.8139 | 0.9022 |
| No log | 8.9333 | 402 | 0.8289 | 0.6198 | 0.8289 | 0.9104 |
| No log | 8.9778 | 404 | 0.9538 | 0.5744 | 0.9538 | 0.9766 |
| No log | 9.0222 | 406 | 1.1603 | 0.4917 | 1.1603 | 1.0772 |
| No log | 9.0667 | 408 | 1.2586 | 0.5139 | 1.2586 | 1.1219 |
| No log | 9.1111 | 410 | 1.1757 | 0.5418 | 1.1757 | 1.0843 |
| No log | 9.1556 | 412 | 1.1048 | 0.5721 | 1.1048 | 1.0511 |
| No log | 9.2 | 414 | 0.9969 | 0.5597 | 0.9969 | 0.9985 |
| No log | 9.2444 | 416 | 0.9049 | 0.5832 | 0.9049 | 0.9513 |
| No log | 9.2889 | 418 | 0.8314 | 0.6223 | 0.8314 | 0.9118 |
| No log | 9.3333 | 420 | 0.8358 | 0.6274 | 0.8358 | 0.9142 |
| No log | 9.3778 | 422 | 0.9395 | 0.5780 | 0.9395 | 0.9693 |
| No log | 9.4222 | 424 | 1.0914 | 0.5815 | 1.0914 | 1.0447 |
| No log | 9.4667 | 426 | 1.1131 | 0.5663 | 1.1131 | 1.0551 |
| No log | 9.5111 | 428 | 0.9692 | 0.5882 | 0.9692 | 0.9845 |
| No log | 9.5556 | 430 | 0.8273 | 0.6339 | 0.8273 | 0.9096 |
| No log | 9.6 | 432 | 0.8055 | 0.6309 | 0.8055 | 0.8975 |
| No log | 9.6444 | 434 | 0.8626 | 0.5990 | 0.8626 | 0.9288 |
| No log | 9.6889 | 436 | 0.9633 | 0.5281 | 0.9633 | 0.9815 |
| No log | 9.7333 | 438 | 1.0492 | 0.5214 | 1.0492 | 1.0243 |
| No log | 9.7778 | 440 | 1.0829 | 0.5101 | 1.0829 | 1.0406 |
| No log | 9.8222 | 442 | 1.0852 | 0.5087 | 1.0852 | 1.0417 |
| No log | 9.8667 | 444 | 1.0519 | 0.5153 | 1.0519 | 1.0256 |
| No log | 9.9111 | 446 | 0.9749 | 0.5270 | 0.9749 | 0.9874 |
| No log | 9.9556 | 448 | 0.9049 | 0.5744 | 0.9049 | 0.9513 |
| No log | 10.0 | 450 | 0.8153 | 0.6339 | 0.8153 | 0.9029 |
| No log | 10.0444 | 452 | 0.7613 | 0.6739 | 0.7613 | 0.8726 |
| No log | 10.0889 | 454 | 0.8286 | 0.6418 | 0.8286 | 0.9103 |
| No log | 10.1333 | 456 | 1.0021 | 0.5440 | 1.0021 | 1.0011 |
| No log | 10.1778 | 458 | 1.1885 | 0.5175 | 1.1885 | 1.0902 |
| No log | 10.2222 | 460 | 1.3658 | 0.5050 | 1.3658 | 1.1687 |
| No log | 10.2667 | 462 | 1.3426 | 0.5103 | 1.3426 | 1.1587 |
| No log | 10.3111 | 464 | 1.1378 | 0.4972 | 1.1378 | 1.0667 |
| No log | 10.3556 | 466 | 1.0435 | 0.5449 | 1.0435 | 1.0215 |
| No log | 10.4 | 468 | 1.0002 | 0.5508 | 1.0002 | 1.0001 |
| No log | 10.4444 | 470 | 1.0325 | 0.5429 | 1.0325 | 1.0161 |
| No log | 10.4889 | 472 | 1.1153 | 0.5240 | 1.1153 | 1.0561 |
| No log | 10.5333 | 474 | 1.2203 | 0.5096 | 1.2203 | 1.1047 |
| No log | 10.5778 | 476 | 1.1575 | 0.5293 | 1.1575 | 1.0759 |
| No log | 10.6222 | 478 | 0.9378 | 0.5967 | 0.9378 | 0.9684 |
| No log | 10.6667 | 480 | 0.7887 | 0.6274 | 0.7887 | 0.8881 |
| No log | 10.7111 | 482 | 0.7289 | 0.6520 | 0.7289 | 0.8538 |
| No log | 10.7556 | 484 | 0.7117 | 0.6475 | 0.7117 | 0.8436 |
| No log | 10.8 | 486 | 0.7997 | 0.6285 | 0.7997 | 0.8943 |
| No log | 10.8444 | 488 | 0.9872 | 0.5963 | 0.9872 | 0.9936 |
| No log | 10.8889 | 490 | 1.1844 | 0.5336 | 1.1844 | 1.0883 |
| No log | 10.9333 | 492 | 1.1716 | 0.4961 | 1.1716 | 1.0824 |
| No log | 10.9778 | 494 | 1.1702 | 0.5030 | 1.1702 | 1.0818 |
| No log | 11.0222 | 496 | 1.0779 | 0.5483 | 1.0779 | 1.0382 |
| No log | 11.0667 | 498 | 0.9484 | 0.5692 | 0.9484 | 0.9739 |
| 0.4691 | 11.1111 | 500 | 0.8988 | 0.5989 | 0.8988 | 0.9481 |
| 0.4691 | 11.1556 | 502 | 0.9705 | 0.5638 | 0.9705 | 0.9851 |
| 0.4691 | 11.2 | 504 | 1.0983 | 0.5341 | 1.0983 | 1.0480 |
| 0.4691 | 11.2444 | 506 | 1.1794 | 0.5281 | 1.1794 | 1.0860 |
| 0.4691 | 11.2889 | 508 | 1.0360 | 0.5398 | 1.0360 | 1.0178 |
| 0.4691 | 11.3333 | 510 | 0.8668 | 0.6157 | 0.8668 | 0.9310 |
| 0.4691 | 11.3778 | 512 | 0.8766 | 0.5922 | 0.8766 | 0.9363 |
| 0.4691 | 11.4222 | 514 | 0.9738 | 0.5969 | 0.9738 | 0.9868 |
| 0.4691 | 11.4667 | 516 | 1.1259 | 0.5675 | 1.1259 | 1.0611 |
| 0.4691 | 11.5111 | 518 | 1.1778 | 0.5698 | 1.1778 | 1.0853 |
| 0.4691 | 11.5556 | 520 | 1.1125 | 0.5768 | 1.1125 | 1.0548 |
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/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k9_task1_organization
Base model
aubmindlab/bert-base-arabertv02