Instructions to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k6_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k6_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k6_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k6_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k6_task5_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k6_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: 0.6306
- Qwk: 0.5818
- Mse: 0.6306
- Rmse: 0.7941
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 | 0.0625 | 2 | 3.8318 | -0.0046 | 3.8318 | 1.9575 |
| No log | 0.125 | 4 | 2.0455 | 0.0032 | 2.0455 | 1.4302 |
| No log | 0.1875 | 6 | 1.4902 | 0.0030 | 1.4902 | 1.2208 |
| No log | 0.25 | 8 | 1.2208 | 0.0380 | 1.2208 | 1.1049 |
| No log | 0.3125 | 10 | 1.0912 | 0.2611 | 1.0912 | 1.0446 |
| No log | 0.375 | 12 | 1.0446 | 0.1233 | 1.0446 | 1.0221 |
| No log | 0.4375 | 14 | 1.1563 | 0.0417 | 1.1563 | 1.0753 |
| No log | 0.5 | 16 | 1.1839 | 0.1727 | 1.1839 | 1.0881 |
| No log | 0.5625 | 18 | 1.3017 | 0.1370 | 1.3017 | 1.1409 |
| No log | 0.625 | 20 | 1.2762 | 0.2308 | 1.2762 | 1.1297 |
| No log | 0.6875 | 22 | 1.0551 | 0.2035 | 1.0551 | 1.0272 |
| No log | 0.75 | 24 | 1.0046 | 0.2643 | 1.0046 | 1.0023 |
| No log | 0.8125 | 26 | 1.0163 | 0.2674 | 1.0163 | 1.0081 |
| No log | 0.875 | 28 | 1.2096 | 0.2084 | 1.2096 | 1.0998 |
| No log | 0.9375 | 30 | 1.4982 | 0.2474 | 1.4982 | 1.2240 |
| No log | 1.0 | 32 | 1.4608 | 0.2070 | 1.4608 | 1.2086 |
| No log | 1.0625 | 34 | 1.2222 | 0.1552 | 1.2222 | 1.1055 |
| No log | 1.125 | 36 | 0.8781 | 0.3753 | 0.8781 | 0.9371 |
| No log | 1.1875 | 38 | 1.0700 | 0.1233 | 1.0700 | 1.0344 |
| No log | 1.25 | 40 | 1.1015 | 0.1233 | 1.1015 | 1.0495 |
| No log | 1.3125 | 42 | 0.8820 | 0.3625 | 0.8820 | 0.9391 |
| No log | 1.375 | 44 | 0.8125 | 0.4624 | 0.8125 | 0.9014 |
| No log | 1.4375 | 46 | 0.7701 | 0.5165 | 0.7701 | 0.8775 |
| No log | 1.5 | 48 | 0.8188 | 0.4861 | 0.8188 | 0.9049 |
| No log | 1.5625 | 50 | 1.1387 | 0.2395 | 1.1387 | 1.0671 |
| No log | 1.625 | 52 | 1.1312 | 0.2283 | 1.1312 | 1.0636 |
| No log | 1.6875 | 54 | 0.8064 | 0.4741 | 0.8064 | 0.8980 |
| No log | 1.75 | 56 | 0.7298 | 0.5333 | 0.7298 | 0.8543 |
| No log | 1.8125 | 58 | 0.9355 | 0.3792 | 0.9355 | 0.9672 |
| No log | 1.875 | 60 | 0.8526 | 0.4144 | 0.8526 | 0.9234 |
| No log | 1.9375 | 62 | 0.7065 | 0.5051 | 0.7065 | 0.8405 |
| No log | 2.0 | 64 | 0.8725 | 0.2758 | 0.8725 | 0.9341 |
| No log | 2.0625 | 66 | 0.9144 | 0.2758 | 0.9144 | 0.9563 |
| No log | 2.125 | 68 | 0.8326 | 0.3734 | 0.8326 | 0.9124 |
| No log | 2.1875 | 70 | 0.7555 | 0.5214 | 0.7555 | 0.8692 |
| No log | 2.25 | 72 | 0.7168 | 0.5214 | 0.7168 | 0.8466 |
| No log | 2.3125 | 74 | 0.7697 | 0.5573 | 0.7697 | 0.8773 |
| No log | 2.375 | 76 | 0.7773 | 0.5841 | 0.7773 | 0.8816 |
| No log | 2.4375 | 78 | 0.7589 | 0.5919 | 0.7589 | 0.8711 |
| No log | 2.5 | 80 | 0.7450 | 0.5830 | 0.7450 | 0.8632 |
| No log | 2.5625 | 82 | 0.7193 | 0.5133 | 0.7193 | 0.8481 |
| No log | 2.625 | 84 | 0.7566 | 0.5345 | 0.7566 | 0.8698 |
| No log | 2.6875 | 86 | 0.7407 | 0.5117 | 0.7407 | 0.8606 |
| No log | 2.75 | 88 | 0.6689 | 0.5809 | 0.6689 | 0.8178 |
| No log | 2.8125 | 90 | 0.8435 | 0.5946 | 0.8435 | 0.9184 |
| No log | 2.875 | 92 | 1.0919 | 0.4705 | 1.0919 | 1.0449 |
| No log | 2.9375 | 94 | 1.0126 | 0.4655 | 1.0126 | 1.0063 |
| No log | 3.0 | 96 | 0.7120 | 0.5585 | 0.7120 | 0.8438 |
| No log | 3.0625 | 98 | 0.6381 | 0.5404 | 0.6381 | 0.7988 |
| No log | 3.125 | 100 | 0.6655 | 0.5892 | 0.6655 | 0.8158 |
| No log | 3.1875 | 102 | 0.6773 | 0.5752 | 0.6773 | 0.8230 |
| No log | 3.25 | 104 | 0.9116 | 0.4917 | 0.9116 | 0.9548 |
| No log | 3.3125 | 106 | 1.1538 | 0.4694 | 1.1538 | 1.0742 |
| No log | 3.375 | 108 | 1.1146 | 0.4975 | 1.1146 | 1.0557 |
| No log | 3.4375 | 110 | 0.8457 | 0.5134 | 0.8457 | 0.9196 |
| No log | 3.5 | 112 | 0.6833 | 0.5002 | 0.6833 | 0.8266 |
| No log | 3.5625 | 114 | 0.6904 | 0.5246 | 0.6904 | 0.8309 |
| No log | 3.625 | 116 | 0.6860 | 0.5522 | 0.6860 | 0.8283 |
| No log | 3.6875 | 118 | 0.7847 | 0.5468 | 0.7847 | 0.8858 |
| No log | 3.75 | 120 | 1.0945 | 0.4531 | 1.0945 | 1.0462 |
| No log | 3.8125 | 122 | 1.2415 | 0.4387 | 1.2415 | 1.1142 |
| No log | 3.875 | 124 | 1.0859 | 0.4745 | 1.0859 | 1.0421 |
| No log | 3.9375 | 126 | 0.8932 | 0.5016 | 0.8932 | 0.9451 |
| No log | 4.0 | 128 | 0.7480 | 0.6142 | 0.7480 | 0.8649 |
| No log | 4.0625 | 130 | 0.7393 | 0.6231 | 0.7393 | 0.8598 |
| No log | 4.125 | 132 | 0.6974 | 0.5702 | 0.6974 | 0.8351 |
| No log | 4.1875 | 134 | 0.6850 | 0.5961 | 0.6850 | 0.8276 |
| No log | 4.25 | 136 | 0.7544 | 0.6004 | 0.7544 | 0.8686 |
| No log | 4.3125 | 138 | 0.8110 | 0.5966 | 0.8110 | 0.9005 |
| No log | 4.375 | 140 | 0.7358 | 0.6386 | 0.7358 | 0.8578 |
| No log | 4.4375 | 142 | 0.6444 | 0.5966 | 0.6444 | 0.8027 |
| No log | 4.5 | 144 | 0.6464 | 0.6606 | 0.6464 | 0.8040 |
| No log | 4.5625 | 146 | 0.6432 | 0.6144 | 0.6432 | 0.8020 |
| No log | 4.625 | 148 | 0.7604 | 0.6100 | 0.7604 | 0.8720 |
| No log | 4.6875 | 150 | 0.8825 | 0.5781 | 0.8825 | 0.9394 |
| No log | 4.75 | 152 | 0.8899 | 0.5520 | 0.8899 | 0.9433 |
| No log | 4.8125 | 154 | 0.7858 | 0.5632 | 0.7858 | 0.8865 |
| No log | 4.875 | 156 | 0.6552 | 0.6292 | 0.6552 | 0.8094 |
| No log | 4.9375 | 158 | 0.6596 | 0.5894 | 0.6596 | 0.8121 |
| No log | 5.0 | 160 | 0.6671 | 0.5774 | 0.6671 | 0.8168 |
| No log | 5.0625 | 162 | 0.6416 | 0.5274 | 0.6416 | 0.8010 |
| No log | 5.125 | 164 | 0.7081 | 0.5575 | 0.7081 | 0.8415 |
| No log | 5.1875 | 166 | 0.8788 | 0.4908 | 0.8788 | 0.9374 |
| No log | 5.25 | 168 | 0.9073 | 0.5357 | 0.9073 | 0.9525 |
| No log | 5.3125 | 170 | 0.7723 | 0.6204 | 0.7723 | 0.8788 |
| No log | 5.375 | 172 | 0.6209 | 0.5969 | 0.6209 | 0.7880 |
| No log | 5.4375 | 174 | 0.6003 | 0.5972 | 0.6003 | 0.7748 |
| No log | 5.5 | 176 | 0.6069 | 0.6277 | 0.6069 | 0.7790 |
| No log | 5.5625 | 178 | 0.5912 | 0.5607 | 0.5912 | 0.7689 |
| No log | 5.625 | 180 | 0.6044 | 0.5969 | 0.6044 | 0.7775 |
| No log | 5.6875 | 182 | 0.6659 | 0.6900 | 0.6659 | 0.8160 |
| No log | 5.75 | 184 | 0.6513 | 0.6748 | 0.6513 | 0.8070 |
| No log | 5.8125 | 186 | 0.6224 | 0.6649 | 0.6224 | 0.7889 |
| No log | 5.875 | 188 | 0.6481 | 0.6498 | 0.6481 | 0.8051 |
| No log | 5.9375 | 190 | 0.6905 | 0.6002 | 0.6905 | 0.8310 |
| No log | 6.0 | 192 | 0.8493 | 0.5627 | 0.8493 | 0.9216 |
| No log | 6.0625 | 194 | 0.8953 | 0.5541 | 0.8953 | 0.9462 |
| No log | 6.125 | 196 | 0.7158 | 0.6266 | 0.7158 | 0.8461 |
| No log | 6.1875 | 198 | 0.5801 | 0.7098 | 0.5801 | 0.7617 |
| No log | 6.25 | 200 | 0.5669 | 0.6830 | 0.5669 | 0.7529 |
| No log | 6.3125 | 202 | 0.5796 | 0.6729 | 0.5796 | 0.7613 |
| No log | 6.375 | 204 | 0.6823 | 0.6266 | 0.6823 | 0.8260 |
| No log | 6.4375 | 206 | 0.7487 | 0.5978 | 0.7487 | 0.8653 |
| No log | 6.5 | 208 | 0.7133 | 0.6184 | 0.7133 | 0.8446 |
| No log | 6.5625 | 210 | 0.6499 | 0.5386 | 0.6499 | 0.8062 |
| No log | 6.625 | 212 | 0.6442 | 0.6464 | 0.6442 | 0.8026 |
| No log | 6.6875 | 214 | 0.6421 | 0.6619 | 0.6421 | 0.8013 |
| No log | 6.75 | 216 | 0.6541 | 0.6383 | 0.6541 | 0.8088 |
| No log | 6.8125 | 218 | 0.7398 | 0.5246 | 0.7398 | 0.8601 |
| No log | 6.875 | 220 | 0.7497 | 0.5471 | 0.7497 | 0.8659 |
| No log | 6.9375 | 222 | 0.6822 | 0.5887 | 0.6822 | 0.8259 |
| No log | 7.0 | 224 | 0.7047 | 0.6004 | 0.7047 | 0.8395 |
| No log | 7.0625 | 226 | 0.7904 | 0.5759 | 0.7904 | 0.8890 |
| No log | 7.125 | 228 | 0.8548 | 0.5799 | 0.8548 | 0.9245 |
| No log | 7.1875 | 230 | 0.8531 | 0.5714 | 0.8531 | 0.9236 |
| No log | 7.25 | 232 | 0.6677 | 0.6747 | 0.6677 | 0.8172 |
| No log | 7.3125 | 234 | 0.5985 | 0.6565 | 0.5985 | 0.7737 |
| No log | 7.375 | 236 | 0.5960 | 0.6758 | 0.5960 | 0.7720 |
| No log | 7.4375 | 238 | 0.5739 | 0.7273 | 0.5739 | 0.7576 |
| No log | 7.5 | 240 | 0.5609 | 0.6830 | 0.5609 | 0.7489 |
| No log | 7.5625 | 242 | 0.6240 | 0.7156 | 0.6240 | 0.7899 |
| No log | 7.625 | 244 | 0.7439 | 0.5251 | 0.7439 | 0.8625 |
| No log | 7.6875 | 246 | 0.7105 | 0.6007 | 0.7105 | 0.8429 |
| No log | 7.75 | 248 | 0.6012 | 0.7191 | 0.6012 | 0.7754 |
| No log | 7.8125 | 250 | 0.6248 | 0.6245 | 0.6248 | 0.7904 |
| No log | 7.875 | 252 | 0.6437 | 0.6073 | 0.6437 | 0.8023 |
| No log | 7.9375 | 254 | 0.6007 | 0.6187 | 0.6007 | 0.7750 |
| No log | 8.0 | 256 | 0.5986 | 0.6919 | 0.5986 | 0.7737 |
| No log | 8.0625 | 258 | 0.6443 | 0.6166 | 0.6443 | 0.8027 |
| No log | 8.125 | 260 | 0.6177 | 0.6669 | 0.6177 | 0.7859 |
| No log | 8.1875 | 262 | 0.5811 | 0.6952 | 0.5811 | 0.7623 |
| No log | 8.25 | 264 | 0.5816 | 0.6952 | 0.5816 | 0.7627 |
| No log | 8.3125 | 266 | 0.5896 | 0.6445 | 0.5896 | 0.7679 |
| No log | 8.375 | 268 | 0.6182 | 0.6394 | 0.6182 | 0.7862 |
| No log | 8.4375 | 270 | 0.5960 | 0.6578 | 0.5960 | 0.7720 |
| No log | 8.5 | 272 | 0.6085 | 0.6485 | 0.6085 | 0.7801 |
| No log | 8.5625 | 274 | 0.6795 | 0.6064 | 0.6795 | 0.8243 |
| No log | 8.625 | 276 | 0.6731 | 0.6806 | 0.6731 | 0.8205 |
| No log | 8.6875 | 278 | 0.6331 | 0.6791 | 0.6331 | 0.7957 |
| No log | 8.75 | 280 | 0.6302 | 0.6585 | 0.6302 | 0.7939 |
| No log | 8.8125 | 282 | 0.6182 | 0.6352 | 0.6182 | 0.7863 |
| No log | 8.875 | 284 | 0.6094 | 0.6535 | 0.6094 | 0.7806 |
| No log | 8.9375 | 286 | 0.6075 | 0.6349 | 0.6075 | 0.7794 |
| No log | 9.0 | 288 | 0.6633 | 0.5845 | 0.6633 | 0.8144 |
| No log | 9.0625 | 290 | 0.7740 | 0.5658 | 0.7740 | 0.8798 |
| No log | 9.125 | 292 | 0.7432 | 0.6085 | 0.7432 | 0.8621 |
| No log | 9.1875 | 294 | 0.6428 | 0.6366 | 0.6428 | 0.8018 |
| No log | 9.25 | 296 | 0.6029 | 0.6433 | 0.6029 | 0.7764 |
| No log | 9.3125 | 298 | 0.5966 | 0.6578 | 0.5966 | 0.7724 |
| No log | 9.375 | 300 | 0.5771 | 0.6940 | 0.5771 | 0.7597 |
| No log | 9.4375 | 302 | 0.5859 | 0.6882 | 0.5859 | 0.7654 |
| No log | 9.5 | 304 | 0.6112 | 0.6452 | 0.6112 | 0.7818 |
| No log | 9.5625 | 306 | 0.6319 | 0.5932 | 0.6319 | 0.7949 |
| No log | 9.625 | 308 | 0.6117 | 0.6107 | 0.6117 | 0.7821 |
| No log | 9.6875 | 310 | 0.5979 | 0.6882 | 0.5979 | 0.7732 |
| No log | 9.75 | 312 | 0.5988 | 0.6882 | 0.5988 | 0.7738 |
| No log | 9.8125 | 314 | 0.6151 | 0.6195 | 0.6151 | 0.7843 |
| No log | 9.875 | 316 | 0.6288 | 0.6097 | 0.6288 | 0.7929 |
| No log | 9.9375 | 318 | 0.6262 | 0.6325 | 0.6262 | 0.7913 |
| No log | 10.0 | 320 | 0.6123 | 0.6442 | 0.6123 | 0.7825 |
| No log | 10.0625 | 322 | 0.6204 | 0.5835 | 0.6204 | 0.7876 |
| No log | 10.125 | 324 | 0.6185 | 0.5835 | 0.6185 | 0.7864 |
| No log | 10.1875 | 326 | 0.6210 | 0.5647 | 0.6210 | 0.7880 |
| No log | 10.25 | 328 | 0.7161 | 0.5245 | 0.7161 | 0.8462 |
| No log | 10.3125 | 330 | 0.7648 | 0.5258 | 0.7648 | 0.8746 |
| No log | 10.375 | 332 | 0.6841 | 0.5348 | 0.6841 | 0.8271 |
| No log | 10.4375 | 334 | 0.6151 | 0.5805 | 0.6151 | 0.7843 |
| No log | 10.5 | 336 | 0.5910 | 0.6442 | 0.5910 | 0.7688 |
| No log | 10.5625 | 338 | 0.5972 | 0.6619 | 0.5972 | 0.7728 |
| No log | 10.625 | 340 | 0.6052 | 0.5773 | 0.6052 | 0.7780 |
| No log | 10.6875 | 342 | 0.7275 | 0.6324 | 0.7275 | 0.8529 |
| No log | 10.75 | 344 | 0.8946 | 0.5429 | 0.8946 | 0.9459 |
| No log | 10.8125 | 346 | 0.8201 | 0.6046 | 0.8201 | 0.9056 |
| No log | 10.875 | 348 | 0.6603 | 0.6925 | 0.6603 | 0.8126 |
| No log | 10.9375 | 350 | 0.6390 | 0.6508 | 0.6390 | 0.7994 |
| No log | 11.0 | 352 | 0.6972 | 0.6657 | 0.6972 | 0.8350 |
| No log | 11.0625 | 354 | 0.8593 | 0.5611 | 0.8593 | 0.9270 |
| No log | 11.125 | 356 | 0.8350 | 0.5740 | 0.8350 | 0.9138 |
| No log | 11.1875 | 358 | 0.6823 | 0.6174 | 0.6823 | 0.8260 |
| No log | 11.25 | 360 | 0.5700 | 0.6778 | 0.5700 | 0.7550 |
| No log | 11.3125 | 362 | 0.5603 | 0.6672 | 0.5603 | 0.7485 |
| No log | 11.375 | 364 | 0.5552 | 0.6528 | 0.5552 | 0.7451 |
| No log | 11.4375 | 366 | 0.5510 | 0.6658 | 0.5510 | 0.7423 |
| No log | 11.5 | 368 | 0.5521 | 0.6555 | 0.5521 | 0.7431 |
| No log | 11.5625 | 370 | 0.5575 | 0.6499 | 0.5575 | 0.7467 |
| No log | 11.625 | 372 | 0.5604 | 0.6452 | 0.5604 | 0.7486 |
| No log | 11.6875 | 374 | 0.5643 | 0.6903 | 0.5643 | 0.7512 |
| No log | 11.75 | 376 | 0.5640 | 0.6729 | 0.5640 | 0.7510 |
| No log | 11.8125 | 378 | 0.5578 | 0.6835 | 0.5578 | 0.7469 |
| No log | 11.875 | 380 | 0.5623 | 0.7198 | 0.5623 | 0.7498 |
| No log | 11.9375 | 382 | 0.5489 | 0.6938 | 0.5489 | 0.7409 |
| No log | 12.0 | 384 | 0.5304 | 0.7040 | 0.5304 | 0.7283 |
| No log | 12.0625 | 386 | 0.5273 | 0.7040 | 0.5273 | 0.7261 |
| No log | 12.125 | 388 | 0.5803 | 0.6640 | 0.5803 | 0.7618 |
| No log | 12.1875 | 390 | 0.5886 | 0.6542 | 0.5886 | 0.7672 |
| No log | 12.25 | 392 | 0.5460 | 0.6884 | 0.5460 | 0.7389 |
| No log | 12.3125 | 394 | 0.5300 | 0.7040 | 0.5300 | 0.7280 |
| No log | 12.375 | 396 | 0.5394 | 0.7115 | 0.5394 | 0.7345 |
| No log | 12.4375 | 398 | 0.5542 | 0.7115 | 0.5542 | 0.7445 |
| No log | 12.5 | 400 | 0.5647 | 0.7070 | 0.5647 | 0.7515 |
| No log | 12.5625 | 402 | 0.5627 | 0.7041 | 0.5627 | 0.7501 |
| No log | 12.625 | 404 | 0.5581 | 0.7041 | 0.5581 | 0.7471 |
| No log | 12.6875 | 406 | 0.5481 | 0.6882 | 0.5481 | 0.7404 |
| No log | 12.75 | 408 | 0.5595 | 0.6119 | 0.5595 | 0.7480 |
| No log | 12.8125 | 410 | 0.5594 | 0.5783 | 0.5594 | 0.7480 |
| No log | 12.875 | 412 | 0.5659 | 0.5694 | 0.5659 | 0.7523 |
| No log | 12.9375 | 414 | 0.5917 | 0.5686 | 0.5917 | 0.7692 |
| No log | 13.0 | 416 | 0.5947 | 0.5770 | 0.5947 | 0.7712 |
| No log | 13.0625 | 418 | 0.5683 | 0.6828 | 0.5683 | 0.7539 |
| No log | 13.125 | 420 | 0.5425 | 0.6653 | 0.5425 | 0.7365 |
| No log | 13.1875 | 422 | 0.5299 | 0.6407 | 0.5299 | 0.7280 |
| No log | 13.25 | 424 | 0.5319 | 0.6407 | 0.5319 | 0.7293 |
| No log | 13.3125 | 426 | 0.5484 | 0.6787 | 0.5484 | 0.7405 |
| No log | 13.375 | 428 | 0.5710 | 0.5951 | 0.5710 | 0.7557 |
| No log | 13.4375 | 430 | 0.5871 | 0.5759 | 0.5871 | 0.7662 |
| No log | 13.5 | 432 | 0.5892 | 0.5852 | 0.5892 | 0.7676 |
| No log | 13.5625 | 434 | 0.5847 | 0.6292 | 0.5847 | 0.7647 |
| No log | 13.625 | 436 | 0.5912 | 0.6555 | 0.5912 | 0.7689 |
| No log | 13.6875 | 438 | 0.5960 | 0.6772 | 0.5960 | 0.7720 |
| No log | 13.75 | 440 | 0.6119 | 0.6721 | 0.6119 | 0.7822 |
| No log | 13.8125 | 442 | 0.6137 | 0.6154 | 0.6137 | 0.7834 |
| No log | 13.875 | 444 | 0.5933 | 0.6042 | 0.5933 | 0.7702 |
| No log | 13.9375 | 446 | 0.5953 | 0.6370 | 0.5953 | 0.7716 |
| No log | 14.0 | 448 | 0.6217 | 0.6259 | 0.6217 | 0.7885 |
| No log | 14.0625 | 450 | 0.6119 | 0.6371 | 0.6119 | 0.7823 |
| No log | 14.125 | 452 | 0.5633 | 0.6740 | 0.5633 | 0.7505 |
| No log | 14.1875 | 454 | 0.5844 | 0.6977 | 0.5844 | 0.7644 |
| No log | 14.25 | 456 | 0.7233 | 0.6092 | 0.7233 | 0.8505 |
| No log | 14.3125 | 458 | 0.8142 | 0.5821 | 0.8142 | 0.9023 |
| No log | 14.375 | 460 | 0.8414 | 0.5821 | 0.8414 | 0.9173 |
| No log | 14.4375 | 462 | 0.6995 | 0.6524 | 0.6995 | 0.8364 |
| No log | 14.5 | 464 | 0.5645 | 0.6479 | 0.5645 | 0.7513 |
| No log | 14.5625 | 466 | 0.5420 | 0.6813 | 0.5420 | 0.7362 |
| No log | 14.625 | 468 | 0.6271 | 0.6756 | 0.6271 | 0.7919 |
| No log | 14.6875 | 470 | 0.6733 | 0.6655 | 0.6733 | 0.8205 |
| No log | 14.75 | 472 | 0.6353 | 0.7239 | 0.6353 | 0.7971 |
| No log | 14.8125 | 474 | 0.6403 | 0.6642 | 0.6403 | 0.8002 |
| No log | 14.875 | 476 | 0.6557 | 0.6476 | 0.6557 | 0.8097 |
| No log | 14.9375 | 478 | 0.6354 | 0.6661 | 0.6354 | 0.7971 |
| No log | 15.0 | 480 | 0.5916 | 0.5843 | 0.5916 | 0.7691 |
| No log | 15.0625 | 482 | 0.5926 | 0.5402 | 0.5926 | 0.7698 |
| No log | 15.125 | 484 | 0.6016 | 0.5402 | 0.6016 | 0.7757 |
| No log | 15.1875 | 486 | 0.6071 | 0.5388 | 0.6071 | 0.7792 |
| No log | 15.25 | 488 | 0.5951 | 0.6065 | 0.5951 | 0.7714 |
| No log | 15.3125 | 490 | 0.5861 | 0.6046 | 0.5861 | 0.7656 |
| No log | 15.375 | 492 | 0.5947 | 0.6280 | 0.5947 | 0.7712 |
| No log | 15.4375 | 494 | 0.5938 | 0.7135 | 0.5938 | 0.7706 |
| No log | 15.5 | 496 | 0.5842 | 0.7089 | 0.5842 | 0.7643 |
| No log | 15.5625 | 498 | 0.5829 | 0.6775 | 0.5829 | 0.7634 |
| 0.3226 | 15.625 | 500 | 0.5709 | 0.6459 | 0.5709 | 0.7556 |
| 0.3226 | 15.6875 | 502 | 0.5675 | 0.6620 | 0.5675 | 0.7533 |
| 0.3226 | 15.75 | 504 | 0.5520 | 0.6147 | 0.5520 | 0.7430 |
| 0.3226 | 15.8125 | 506 | 0.5392 | 0.6207 | 0.5392 | 0.7343 |
| 0.3226 | 15.875 | 508 | 0.5425 | 0.6345 | 0.5425 | 0.7365 |
| 0.3226 | 15.9375 | 510 | 0.5532 | 0.6370 | 0.5532 | 0.7438 |
| 0.3226 | 16.0 | 512 | 0.5610 | 0.6469 | 0.5610 | 0.7490 |
| 0.3226 | 16.0625 | 514 | 0.5581 | 0.6062 | 0.5581 | 0.7471 |
| 0.3226 | 16.125 | 516 | 0.5463 | 0.6370 | 0.5463 | 0.7391 |
| 0.3226 | 16.1875 | 518 | 0.5460 | 0.5638 | 0.5460 | 0.7389 |
| 0.3226 | 16.25 | 520 | 0.5916 | 0.6129 | 0.5916 | 0.7691 |
| 0.3226 | 16.3125 | 522 | 0.6134 | 0.6525 | 0.6134 | 0.7832 |
| 0.3226 | 16.375 | 524 | 0.5781 | 0.6332 | 0.5781 | 0.7603 |
| 0.3226 | 16.4375 | 526 | 0.5482 | 0.5961 | 0.5482 | 0.7404 |
| 0.3226 | 16.5 | 528 | 0.5444 | 0.6619 | 0.5444 | 0.7378 |
| 0.3226 | 16.5625 | 530 | 0.5549 | 0.6720 | 0.5549 | 0.7449 |
| 0.3226 | 16.625 | 532 | 0.5505 | 0.6720 | 0.5505 | 0.7419 |
| 0.3226 | 16.6875 | 534 | 0.5547 | 0.6426 | 0.5547 | 0.7448 |
| 0.3226 | 16.75 | 536 | 0.5962 | 0.6470 | 0.5962 | 0.7721 |
| 0.3226 | 16.8125 | 538 | 0.6357 | 0.6371 | 0.6357 | 0.7973 |
| 0.3226 | 16.875 | 540 | 0.6274 | 0.6371 | 0.6274 | 0.7921 |
| 0.3226 | 16.9375 | 542 | 0.5772 | 0.6701 | 0.5772 | 0.7597 |
| 0.3226 | 17.0 | 544 | 0.5255 | 0.7165 | 0.5255 | 0.7249 |
| 0.3226 | 17.0625 | 546 | 0.5249 | 0.6143 | 0.5249 | 0.7245 |
| 0.3226 | 17.125 | 548 | 0.5290 | 0.6025 | 0.5290 | 0.7273 |
| 0.3226 | 17.1875 | 550 | 0.5186 | 0.6065 | 0.5186 | 0.7202 |
| 0.3226 | 17.25 | 552 | 0.5438 | 0.5704 | 0.5438 | 0.7374 |
| 0.3226 | 17.3125 | 554 | 0.6306 | 0.5818 | 0.6306 | 0.7941 |
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_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k6_task5_organization
Base model
aubmindlab/bert-base-arabertv02