Instructions to use MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k13_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_k13_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_k13_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k13_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k13_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingWellWrittenEssays_FineTuningAraBERT_run1_AugV5_k13_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: 0.7436
- Qwk: 0.5930
- Mse: 0.7436
- Rmse: 0.8623
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 | 0.0312 | 2 | 5.5681 | -0.0008 | 5.5681 | 2.3597 |
| No log | 0.0625 | 4 | 3.4839 | 0.0794 | 3.4839 | 1.8665 |
| No log | 0.0938 | 6 | 2.2950 | -0.0074 | 2.2950 | 1.5149 |
| No log | 0.125 | 8 | 1.7577 | 0.0485 | 1.7577 | 1.3258 |
| No log | 0.1562 | 10 | 1.2415 | 0.2275 | 1.2415 | 1.1142 |
| No log | 0.1875 | 12 | 1.1067 | 0.2657 | 1.1067 | 1.0520 |
| No log | 0.2188 | 14 | 1.1042 | 0.2235 | 1.1042 | 1.0508 |
| No log | 0.25 | 16 | 1.0936 | 0.2259 | 1.0936 | 1.0457 |
| No log | 0.2812 | 18 | 1.1722 | 0.3150 | 1.1722 | 1.0827 |
| No log | 0.3125 | 20 | 1.0897 | 0.3250 | 1.0897 | 1.0439 |
| No log | 0.3438 | 22 | 1.0482 | 0.3903 | 1.0482 | 1.0238 |
| No log | 0.375 | 24 | 1.3666 | 0.2675 | 1.3666 | 1.1690 |
| No log | 0.4062 | 26 | 1.3792 | 0.3018 | 1.3792 | 1.1744 |
| No log | 0.4375 | 28 | 1.3172 | 0.3102 | 1.3172 | 1.1477 |
| No log | 0.4688 | 30 | 0.9555 | 0.4043 | 0.9555 | 0.9775 |
| No log | 0.5 | 32 | 0.8530 | 0.4471 | 0.8530 | 0.9236 |
| No log | 0.5312 | 34 | 0.8410 | 0.4818 | 0.8410 | 0.9171 |
| No log | 0.5625 | 36 | 0.8427 | 0.4785 | 0.8427 | 0.9180 |
| No log | 0.5938 | 38 | 0.8323 | 0.4727 | 0.8323 | 0.9123 |
| No log | 0.625 | 40 | 0.7998 | 0.4761 | 0.7998 | 0.8943 |
| No log | 0.6562 | 42 | 0.8127 | 0.5301 | 0.8127 | 0.9015 |
| No log | 0.6875 | 44 | 0.8123 | 0.5531 | 0.8123 | 0.9013 |
| No log | 0.7188 | 46 | 0.8631 | 0.5695 | 0.8631 | 0.9290 |
| No log | 0.75 | 48 | 0.8339 | 0.5796 | 0.8339 | 0.9132 |
| No log | 0.7812 | 50 | 0.8039 | 0.5615 | 0.8039 | 0.8966 |
| No log | 0.8125 | 52 | 0.9726 | 0.5191 | 0.9726 | 0.9862 |
| No log | 0.8438 | 54 | 1.3580 | 0.4439 | 1.3580 | 1.1653 |
| No log | 0.875 | 56 | 1.1693 | 0.4035 | 1.1693 | 1.0813 |
| No log | 0.9062 | 58 | 0.7993 | 0.5399 | 0.7993 | 0.8940 |
| No log | 0.9375 | 60 | 0.8565 | 0.5567 | 0.8565 | 0.9255 |
| No log | 0.9688 | 62 | 0.9729 | 0.5398 | 0.9729 | 0.9864 |
| No log | 1.0 | 64 | 1.0232 | 0.5205 | 1.0232 | 1.0116 |
| No log | 1.0312 | 66 | 0.9349 | 0.4941 | 0.9349 | 0.9669 |
| No log | 1.0625 | 68 | 0.8709 | 0.5429 | 0.8709 | 0.9332 |
| No log | 1.0938 | 70 | 0.8826 | 0.5086 | 0.8826 | 0.9395 |
| No log | 1.125 | 72 | 0.8928 | 0.4669 | 0.8928 | 0.9449 |
| No log | 1.1562 | 74 | 0.9060 | 0.5070 | 0.9060 | 0.9518 |
| No log | 1.1875 | 76 | 1.0653 | 0.5080 | 1.0653 | 1.0321 |
| No log | 1.2188 | 78 | 1.2351 | 0.3797 | 1.2351 | 1.1113 |
| No log | 1.25 | 80 | 1.1914 | 0.4272 | 1.1914 | 1.0915 |
| No log | 1.2812 | 82 | 1.1606 | 0.4407 | 1.1606 | 1.0773 |
| No log | 1.3125 | 84 | 1.0231 | 0.4973 | 1.0231 | 1.0115 |
| No log | 1.3438 | 86 | 1.0431 | 0.4906 | 1.0431 | 1.0213 |
| No log | 1.375 | 88 | 1.0535 | 0.5099 | 1.0535 | 1.0264 |
| No log | 1.4062 | 90 | 1.3189 | 0.3948 | 1.3189 | 1.1484 |
| No log | 1.4375 | 92 | 1.2753 | 0.4743 | 1.2753 | 1.1293 |
| No log | 1.4688 | 94 | 0.9425 | 0.5691 | 0.9425 | 0.9708 |
| No log | 1.5 | 96 | 0.8330 | 0.6428 | 0.8330 | 0.9127 |
| No log | 1.5312 | 98 | 0.9254 | 0.5786 | 0.9254 | 0.9620 |
| No log | 1.5625 | 100 | 0.8840 | 0.6177 | 0.8840 | 0.9402 |
| No log | 1.5938 | 102 | 0.8220 | 0.6682 | 0.8220 | 0.9066 |
| No log | 1.625 | 104 | 0.7382 | 0.6881 | 0.7382 | 0.8592 |
| No log | 1.6562 | 106 | 0.7322 | 0.6571 | 0.7322 | 0.8557 |
| No log | 1.6875 | 108 | 0.6946 | 0.7020 | 0.6946 | 0.8334 |
| No log | 1.7188 | 110 | 0.7114 | 0.6840 | 0.7114 | 0.8435 |
| No log | 1.75 | 112 | 0.7324 | 0.6849 | 0.7324 | 0.8558 |
| No log | 1.7812 | 114 | 0.9200 | 0.5277 | 0.9200 | 0.9592 |
| No log | 1.8125 | 116 | 0.8805 | 0.5062 | 0.8805 | 0.9383 |
| No log | 1.8438 | 118 | 0.7021 | 0.6981 | 0.7021 | 0.8379 |
| No log | 1.875 | 120 | 0.6878 | 0.6782 | 0.6878 | 0.8294 |
| No log | 1.9062 | 122 | 0.7163 | 0.6357 | 0.7163 | 0.8464 |
| No log | 1.9375 | 124 | 0.9685 | 0.5598 | 0.9685 | 0.9841 |
| No log | 1.9688 | 126 | 1.0028 | 0.5516 | 1.0028 | 1.0014 |
| No log | 2.0 | 128 | 0.9864 | 0.5419 | 0.9864 | 0.9932 |
| No log | 2.0312 | 130 | 0.7553 | 0.5863 | 0.7553 | 0.8691 |
| No log | 2.0625 | 132 | 0.7133 | 0.6318 | 0.7133 | 0.8446 |
| No log | 2.0938 | 134 | 0.7877 | 0.6392 | 0.7877 | 0.8875 |
| No log | 2.125 | 136 | 0.7316 | 0.6318 | 0.7316 | 0.8553 |
| No log | 2.1562 | 138 | 0.7003 | 0.6255 | 0.7003 | 0.8368 |
| No log | 2.1875 | 140 | 0.6871 | 0.6218 | 0.6871 | 0.8289 |
| No log | 2.2188 | 142 | 0.6941 | 0.5859 | 0.6941 | 0.8331 |
| No log | 2.25 | 144 | 0.7101 | 0.5187 | 0.7101 | 0.8427 |
| No log | 2.2812 | 146 | 0.7438 | 0.5505 | 0.7438 | 0.8625 |
| No log | 2.3125 | 148 | 0.9436 | 0.5284 | 0.9436 | 0.9714 |
| No log | 2.3438 | 150 | 0.9093 | 0.5620 | 0.9093 | 0.9536 |
| No log | 2.375 | 152 | 0.7555 | 0.6174 | 0.7555 | 0.8692 |
| No log | 2.4062 | 154 | 0.6709 | 0.6368 | 0.6709 | 0.8191 |
| No log | 2.4375 | 156 | 0.7019 | 0.6468 | 0.7019 | 0.8378 |
| No log | 2.4688 | 158 | 0.6905 | 0.6622 | 0.6905 | 0.8310 |
| No log | 2.5 | 160 | 0.6462 | 0.7045 | 0.6462 | 0.8038 |
| No log | 2.5312 | 162 | 0.6450 | 0.6826 | 0.6450 | 0.8031 |
| No log | 2.5625 | 164 | 0.6896 | 0.6260 | 0.6896 | 0.8304 |
| No log | 2.5938 | 166 | 0.6448 | 0.6868 | 0.6448 | 0.8030 |
| No log | 2.625 | 168 | 0.6154 | 0.7033 | 0.6154 | 0.7845 |
| No log | 2.6562 | 170 | 0.7151 | 0.6497 | 0.7151 | 0.8456 |
| No log | 2.6875 | 172 | 0.8263 | 0.6006 | 0.8263 | 0.9090 |
| No log | 2.7188 | 174 | 0.6959 | 0.6599 | 0.6959 | 0.8342 |
| No log | 2.75 | 176 | 0.6541 | 0.6413 | 0.6541 | 0.8088 |
| No log | 2.7812 | 178 | 1.0260 | 0.5601 | 1.0260 | 1.0129 |
| No log | 2.8125 | 180 | 1.2428 | 0.4570 | 1.2428 | 1.1148 |
| No log | 2.8438 | 182 | 1.1463 | 0.4700 | 1.1463 | 1.0707 |
| No log | 2.875 | 184 | 0.8617 | 0.5935 | 0.8617 | 0.9283 |
| No log | 2.9062 | 186 | 0.6904 | 0.5997 | 0.6904 | 0.8309 |
| No log | 2.9375 | 188 | 0.6849 | 0.6090 | 0.6849 | 0.8276 |
| No log | 2.9688 | 190 | 0.6727 | 0.5984 | 0.6727 | 0.8202 |
| No log | 3.0 | 192 | 0.7207 | 0.6390 | 0.7207 | 0.8489 |
| No log | 3.0312 | 194 | 0.9381 | 0.5666 | 0.9381 | 0.9685 |
| No log | 3.0625 | 196 | 0.9936 | 0.5808 | 0.9936 | 0.9968 |
| No log | 3.0938 | 198 | 0.8763 | 0.6187 | 0.8763 | 0.9361 |
| No log | 3.125 | 200 | 0.6999 | 0.6412 | 0.6999 | 0.8366 |
| No log | 3.1562 | 202 | 0.6707 | 0.6554 | 0.6707 | 0.8190 |
| No log | 3.1875 | 204 | 0.6957 | 0.6653 | 0.6957 | 0.8341 |
| No log | 3.2188 | 206 | 0.6577 | 0.6707 | 0.6577 | 0.8110 |
| No log | 3.25 | 208 | 0.6392 | 0.6895 | 0.6392 | 0.7995 |
| No log | 3.2812 | 210 | 0.7357 | 0.6255 | 0.7357 | 0.8577 |
| No log | 3.3125 | 212 | 0.8983 | 0.5912 | 0.8983 | 0.9478 |
| No log | 3.3438 | 214 | 0.8654 | 0.5785 | 0.8654 | 0.9303 |
| No log | 3.375 | 216 | 0.7017 | 0.6337 | 0.7017 | 0.8377 |
| No log | 3.4062 | 218 | 0.6282 | 0.6703 | 0.6282 | 0.7926 |
| No log | 3.4375 | 220 | 0.6440 | 0.6541 | 0.6440 | 0.8025 |
| No log | 3.4688 | 222 | 0.6203 | 0.6895 | 0.6203 | 0.7876 |
| No log | 3.5 | 224 | 0.6522 | 0.6417 | 0.6522 | 0.8076 |
| No log | 3.5312 | 226 | 0.7341 | 0.6471 | 0.7341 | 0.8568 |
| No log | 3.5625 | 228 | 0.7050 | 0.625 | 0.7050 | 0.8396 |
| No log | 3.5938 | 230 | 0.6403 | 0.6484 | 0.6403 | 0.8002 |
| No log | 3.625 | 232 | 0.6026 | 0.6805 | 0.6026 | 0.7763 |
| No log | 3.6562 | 234 | 0.6902 | 0.6206 | 0.6902 | 0.8308 |
| No log | 3.6875 | 236 | 0.8255 | 0.5932 | 0.8255 | 0.9086 |
| No log | 3.7188 | 238 | 0.7669 | 0.5879 | 0.7669 | 0.8757 |
| No log | 3.75 | 240 | 0.6181 | 0.6924 | 0.6181 | 0.7862 |
| No log | 3.7812 | 242 | 0.6356 | 0.6899 | 0.6356 | 0.7972 |
| No log | 3.8125 | 244 | 0.6820 | 0.6915 | 0.6820 | 0.8259 |
| No log | 3.8438 | 246 | 0.6809 | 0.6914 | 0.6809 | 0.8252 |
| No log | 3.875 | 248 | 0.6762 | 0.6824 | 0.6762 | 0.8223 |
| No log | 3.9062 | 250 | 0.6611 | 0.7079 | 0.6611 | 0.8131 |
| No log | 3.9375 | 252 | 0.6460 | 0.6807 | 0.6460 | 0.8037 |
| No log | 3.9688 | 254 | 0.6438 | 0.6660 | 0.6438 | 0.8024 |
| No log | 4.0 | 256 | 0.6473 | 0.6691 | 0.6473 | 0.8046 |
| No log | 4.0312 | 258 | 0.6612 | 0.6594 | 0.6612 | 0.8132 |
| No log | 4.0625 | 260 | 0.6784 | 0.6656 | 0.6784 | 0.8237 |
| No log | 4.0938 | 262 | 0.6644 | 0.6625 | 0.6644 | 0.8151 |
| No log | 4.125 | 264 | 0.6315 | 0.6905 | 0.6315 | 0.7947 |
| No log | 4.1562 | 266 | 0.6297 | 0.6929 | 0.6297 | 0.7935 |
| No log | 4.1875 | 268 | 0.6346 | 0.7242 | 0.6346 | 0.7966 |
| No log | 4.2188 | 270 | 0.6404 | 0.7025 | 0.6404 | 0.8002 |
| No log | 4.25 | 272 | 0.7404 | 0.6874 | 0.7404 | 0.8605 |
| No log | 4.2812 | 274 | 0.8295 | 0.6403 | 0.8295 | 0.9108 |
| No log | 4.3125 | 276 | 0.7882 | 0.6619 | 0.7882 | 0.8878 |
| No log | 4.3438 | 278 | 0.7480 | 0.6817 | 0.7480 | 0.8648 |
| No log | 4.375 | 280 | 0.6995 | 0.6949 | 0.6995 | 0.8364 |
| No log | 4.4062 | 282 | 0.6960 | 0.7057 | 0.6960 | 0.8343 |
| No log | 4.4375 | 284 | 0.7023 | 0.7002 | 0.7023 | 0.8381 |
| No log | 4.4688 | 286 | 0.7530 | 0.6758 | 0.7530 | 0.8678 |
| No log | 4.5 | 288 | 0.6603 | 0.7000 | 0.6603 | 0.8126 |
| No log | 4.5312 | 290 | 0.6120 | 0.7635 | 0.6120 | 0.7823 |
| No log | 4.5625 | 292 | 0.6847 | 0.7057 | 0.6847 | 0.8275 |
| No log | 4.5938 | 294 | 0.6224 | 0.7316 | 0.6224 | 0.7889 |
| No log | 4.625 | 296 | 0.6428 | 0.7276 | 0.6428 | 0.8017 |
| No log | 4.6562 | 298 | 0.7437 | 0.6925 | 0.7437 | 0.8624 |
| No log | 4.6875 | 300 | 0.6600 | 0.6907 | 0.6600 | 0.8124 |
| No log | 4.7188 | 302 | 0.5947 | 0.6749 | 0.5947 | 0.7711 |
| No log | 4.75 | 304 | 0.6178 | 0.6514 | 0.6178 | 0.7860 |
| No log | 4.7812 | 306 | 0.5978 | 0.6958 | 0.5978 | 0.7732 |
| No log | 4.8125 | 308 | 0.6592 | 0.6846 | 0.6592 | 0.8119 |
| No log | 4.8438 | 310 | 0.7244 | 0.6864 | 0.7244 | 0.8511 |
| No log | 4.875 | 312 | 0.6651 | 0.7300 | 0.6651 | 0.8155 |
| No log | 4.9062 | 314 | 0.6390 | 0.7146 | 0.6390 | 0.7994 |
| No log | 4.9375 | 316 | 0.6695 | 0.7113 | 0.6695 | 0.8182 |
| No log | 4.9688 | 318 | 0.6728 | 0.6705 | 0.6728 | 0.8203 |
| No log | 5.0 | 320 | 0.6831 | 0.6603 | 0.6831 | 0.8265 |
| No log | 5.0312 | 322 | 0.6542 | 0.6798 | 0.6542 | 0.8088 |
| No log | 5.0625 | 324 | 0.6299 | 0.7079 | 0.6299 | 0.7936 |
| No log | 5.0938 | 326 | 0.6372 | 0.7076 | 0.6372 | 0.7983 |
| No log | 5.125 | 328 | 0.7059 | 0.7109 | 0.7059 | 0.8402 |
| No log | 5.1562 | 330 | 0.7525 | 0.7113 | 0.7525 | 0.8674 |
| No log | 5.1875 | 332 | 0.9028 | 0.6587 | 0.9028 | 0.9502 |
| No log | 5.2188 | 334 | 0.8105 | 0.6954 | 0.8105 | 0.9003 |
| No log | 5.25 | 336 | 0.6744 | 0.7483 | 0.6744 | 0.8212 |
| No log | 5.2812 | 338 | 0.6324 | 0.7396 | 0.6324 | 0.7952 |
| No log | 5.3125 | 340 | 0.6281 | 0.7404 | 0.6281 | 0.7925 |
| No log | 5.3438 | 342 | 0.6349 | 0.7293 | 0.6349 | 0.7968 |
| No log | 5.375 | 344 | 0.6540 | 0.7203 | 0.6540 | 0.8087 |
| No log | 5.4062 | 346 | 0.7020 | 0.6939 | 0.7020 | 0.8379 |
| No log | 5.4375 | 348 | 0.7098 | 0.7016 | 0.7098 | 0.8425 |
| No log | 5.4688 | 350 | 0.6763 | 0.7205 | 0.6763 | 0.8224 |
| No log | 5.5 | 352 | 0.7202 | 0.7231 | 0.7202 | 0.8487 |
| No log | 5.5312 | 354 | 0.7148 | 0.7138 | 0.7148 | 0.8455 |
| No log | 5.5625 | 356 | 0.6836 | 0.7343 | 0.6836 | 0.8268 |
| No log | 5.5938 | 358 | 0.6754 | 0.7350 | 0.6754 | 0.8218 |
| No log | 5.625 | 360 | 0.7114 | 0.7232 | 0.7114 | 0.8435 |
| No log | 5.6562 | 362 | 0.8263 | 0.6245 | 0.8263 | 0.9090 |
| No log | 5.6875 | 364 | 0.9386 | 0.5869 | 0.9386 | 0.9688 |
| No log | 5.7188 | 366 | 0.8861 | 0.5950 | 0.8861 | 0.9413 |
| No log | 5.75 | 368 | 0.8238 | 0.6336 | 0.8238 | 0.9077 |
| No log | 5.7812 | 370 | 0.7862 | 0.6523 | 0.7862 | 0.8867 |
| No log | 5.8125 | 372 | 0.8230 | 0.6646 | 0.8230 | 0.9072 |
| No log | 5.8438 | 374 | 0.8295 | 0.7018 | 0.8295 | 0.9107 |
| No log | 5.875 | 376 | 0.8658 | 0.6701 | 0.8658 | 0.9305 |
| No log | 5.9062 | 378 | 1.0030 | 0.5954 | 1.0030 | 1.0015 |
| No log | 5.9375 | 380 | 1.1044 | 0.5774 | 1.1044 | 1.0509 |
| No log | 5.9688 | 382 | 1.1745 | 0.5186 | 1.1745 | 1.0838 |
| No log | 6.0 | 384 | 1.2081 | 0.4987 | 1.2081 | 1.0991 |
| No log | 6.0312 | 386 | 1.0587 | 0.5186 | 1.0587 | 1.0289 |
| No log | 6.0625 | 388 | 0.9117 | 0.5717 | 0.9117 | 0.9548 |
| No log | 6.0938 | 390 | 0.8746 | 0.5554 | 0.8746 | 0.9352 |
| No log | 6.125 | 392 | 0.8181 | 0.6050 | 0.8181 | 0.9045 |
| No log | 6.1562 | 394 | 0.8226 | 0.6455 | 0.8226 | 0.9070 |
| No log | 6.1875 | 396 | 0.9257 | 0.5789 | 0.9257 | 0.9621 |
| No log | 6.2188 | 398 | 1.1022 | 0.5435 | 1.1022 | 1.0499 |
| No log | 6.25 | 400 | 1.1173 | 0.5335 | 1.1173 | 1.0570 |
| No log | 6.2812 | 402 | 0.9122 | 0.6037 | 0.9122 | 0.9551 |
| No log | 6.3125 | 404 | 0.7143 | 0.6477 | 0.7143 | 0.8452 |
| No log | 6.3438 | 406 | 0.6645 | 0.6096 | 0.6645 | 0.8152 |
| No log | 6.375 | 408 | 0.6477 | 0.6523 | 0.6477 | 0.8048 |
| No log | 6.4062 | 410 | 0.6489 | 0.7253 | 0.6489 | 0.8056 |
| No log | 6.4375 | 412 | 0.6873 | 0.7247 | 0.6873 | 0.8290 |
| No log | 6.4688 | 414 | 0.8042 | 0.6745 | 0.8042 | 0.8968 |
| No log | 6.5 | 416 | 0.9804 | 0.6291 | 0.9804 | 0.9901 |
| No log | 6.5312 | 418 | 1.0182 | 0.6167 | 1.0182 | 1.0090 |
| No log | 6.5625 | 420 | 0.9278 | 0.6288 | 0.9278 | 0.9632 |
| No log | 6.5938 | 422 | 0.8090 | 0.6299 | 0.8090 | 0.8995 |
| No log | 6.625 | 424 | 0.6970 | 0.6197 | 0.6970 | 0.8349 |
| No log | 6.6562 | 426 | 0.6498 | 0.6327 | 0.6498 | 0.8061 |
| No log | 6.6875 | 428 | 0.6575 | 0.6299 | 0.6575 | 0.8108 |
| No log | 6.7188 | 430 | 0.7276 | 0.6445 | 0.7276 | 0.8530 |
| No log | 6.75 | 432 | 0.7308 | 0.6279 | 0.7308 | 0.8549 |
| No log | 6.7812 | 434 | 0.6820 | 0.6358 | 0.6820 | 0.8258 |
| No log | 6.8125 | 436 | 0.6920 | 0.6266 | 0.6920 | 0.8318 |
| No log | 6.8438 | 438 | 0.6824 | 0.6322 | 0.6824 | 0.8261 |
| No log | 6.875 | 440 | 0.7490 | 0.6389 | 0.7490 | 0.8654 |
| No log | 6.9062 | 442 | 0.7877 | 0.6289 | 0.7877 | 0.8875 |
| No log | 6.9375 | 444 | 0.7415 | 0.6684 | 0.7415 | 0.8611 |
| No log | 6.9688 | 446 | 0.7357 | 0.6749 | 0.7357 | 0.8577 |
| No log | 7.0 | 448 | 0.7327 | 0.6760 | 0.7327 | 0.8560 |
| No log | 7.0312 | 450 | 0.6611 | 0.7044 | 0.6611 | 0.8131 |
| No log | 7.0625 | 452 | 0.6257 | 0.7299 | 0.6257 | 0.7910 |
| No log | 7.0938 | 454 | 0.6421 | 0.7052 | 0.6421 | 0.8013 |
| No log | 7.125 | 456 | 0.6445 | 0.6446 | 0.6445 | 0.8028 |
| No log | 7.1562 | 458 | 0.6928 | 0.6480 | 0.6928 | 0.8323 |
| No log | 7.1875 | 460 | 0.8152 | 0.6139 | 0.8152 | 0.9029 |
| No log | 7.2188 | 462 | 0.8134 | 0.6228 | 0.8134 | 0.9019 |
| No log | 7.25 | 464 | 0.7070 | 0.6614 | 0.7070 | 0.8408 |
| No log | 7.2812 | 466 | 0.6338 | 0.6836 | 0.6338 | 0.7961 |
| No log | 7.3125 | 468 | 0.6014 | 0.7292 | 0.6014 | 0.7755 |
| No log | 7.3438 | 470 | 0.5900 | 0.7356 | 0.5900 | 0.7681 |
| No log | 7.375 | 472 | 0.6294 | 0.7054 | 0.6294 | 0.7934 |
| No log | 7.4062 | 474 | 0.7646 | 0.6893 | 0.7646 | 0.8744 |
| No log | 7.4375 | 476 | 0.7724 | 0.6638 | 0.7724 | 0.8789 |
| No log | 7.4688 | 478 | 0.7149 | 0.6426 | 0.7149 | 0.8455 |
| No log | 7.5 | 480 | 0.6318 | 0.6642 | 0.6318 | 0.7949 |
| No log | 7.5312 | 482 | 0.6178 | 0.6912 | 0.6178 | 0.7860 |
| No log | 7.5625 | 484 | 0.6262 | 0.6912 | 0.6262 | 0.7913 |
| No log | 7.5938 | 486 | 0.6912 | 0.6685 | 0.6912 | 0.8314 |
| No log | 7.625 | 488 | 0.7252 | 0.6485 | 0.7252 | 0.8516 |
| No log | 7.6562 | 490 | 0.7613 | 0.6498 | 0.7613 | 0.8725 |
| No log | 7.6875 | 492 | 0.7696 | 0.6402 | 0.7696 | 0.8773 |
| No log | 7.7188 | 494 | 0.8098 | 0.6202 | 0.8098 | 0.8999 |
| No log | 7.75 | 496 | 0.8061 | 0.6303 | 0.8061 | 0.8978 |
| No log | 7.7812 | 498 | 0.7796 | 0.6159 | 0.7796 | 0.8829 |
| 0.3909 | 7.8125 | 500 | 0.7787 | 0.6005 | 0.7787 | 0.8824 |
| 0.3909 | 7.8438 | 502 | 0.7967 | 0.6083 | 0.7967 | 0.8926 |
| 0.3909 | 7.875 | 504 | 0.8099 | 0.6204 | 0.8099 | 0.8999 |
| 0.3909 | 7.9062 | 506 | 0.8026 | 0.6222 | 0.8026 | 0.8959 |
| 0.3909 | 7.9375 | 508 | 0.7431 | 0.6375 | 0.7431 | 0.8620 |
| 0.3909 | 7.9688 | 510 | 0.6893 | 0.6640 | 0.6893 | 0.8302 |
| 0.3909 | 8.0 | 512 | 0.6718 | 0.6617 | 0.6718 | 0.8197 |
| 0.3909 | 8.0312 | 514 | 0.6810 | 0.6385 | 0.6810 | 0.8252 |
| 0.3909 | 8.0625 | 516 | 0.6873 | 0.6640 | 0.6873 | 0.8291 |
| 0.3909 | 8.0938 | 518 | 0.7210 | 0.6614 | 0.7210 | 0.8491 |
| 0.3909 | 8.125 | 520 | 0.7061 | 0.6516 | 0.7061 | 0.8403 |
| 0.3909 | 8.1562 | 522 | 0.6814 | 0.6343 | 0.6814 | 0.8255 |
| 0.3909 | 8.1875 | 524 | 0.6998 | 0.6138 | 0.6998 | 0.8365 |
| 0.3909 | 8.2188 | 526 | 0.7208 | 0.5821 | 0.7208 | 0.8490 |
| 0.3909 | 8.25 | 528 | 0.7598 | 0.5440 | 0.7598 | 0.8717 |
| 0.3909 | 8.2812 | 530 | 0.8452 | 0.5957 | 0.8452 | 0.9193 |
| 0.3909 | 8.3125 | 532 | 0.8708 | 0.5704 | 0.8708 | 0.9332 |
| 0.3909 | 8.3438 | 534 | 0.7791 | 0.6330 | 0.7791 | 0.8827 |
| 0.3909 | 8.375 | 536 | 0.6752 | 0.7369 | 0.6752 | 0.8217 |
| 0.3909 | 8.4062 | 538 | 0.6540 | 0.7535 | 0.6540 | 0.8087 |
| 0.3909 | 8.4375 | 540 | 0.6889 | 0.6865 | 0.6889 | 0.8300 |
| 0.3909 | 8.4688 | 542 | 0.8010 | 0.6111 | 0.8010 | 0.8950 |
| 0.3909 | 8.5 | 544 | 0.8844 | 0.5600 | 0.8844 | 0.9404 |
| 0.3909 | 8.5312 | 546 | 0.8488 | 0.6002 | 0.8488 | 0.9213 |
| 0.3909 | 8.5625 | 548 | 0.7659 | 0.5963 | 0.7659 | 0.8752 |
| 0.3909 | 8.5938 | 550 | 0.7480 | 0.6273 | 0.7480 | 0.8649 |
| 0.3909 | 8.625 | 552 | 0.7568 | 0.6217 | 0.7568 | 0.8700 |
| 0.3909 | 8.6562 | 554 | 0.7556 | 0.6046 | 0.7556 | 0.8693 |
| 0.3909 | 8.6875 | 556 | 0.7891 | 0.5918 | 0.7891 | 0.8883 |
| 0.3909 | 8.7188 | 558 | 0.8732 | 0.5969 | 0.8732 | 0.9344 |
| 0.3909 | 8.75 | 560 | 0.8613 | 0.6002 | 0.8613 | 0.9281 |
| 0.3909 | 8.7812 | 562 | 0.7772 | 0.5653 | 0.7772 | 0.8816 |
| 0.3909 | 8.8125 | 564 | 0.7436 | 0.5930 | 0.7436 | 0.8623 |
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_k13_task1_organization
Base model
aubmindlab/bert-base-arabertv02