Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k20_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k20_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k20_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k20_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k20_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k20_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: 0.7177
- Qwk: 0.5342
- Mse: 0.7177
- Rmse: 0.8471
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 | 0.0202 | 2 | 5.5040 | 0.0018 | 5.5040 | 2.3461 |
| No log | 0.0404 | 4 | 3.2950 | 0.0543 | 3.2950 | 1.8152 |
| No log | 0.0606 | 6 | 2.3129 | -0.0251 | 2.3129 | 1.5208 |
| No log | 0.0808 | 8 | 1.5746 | 0.0706 | 1.5746 | 1.2548 |
| No log | 0.1010 | 10 | 1.3089 | 0.2204 | 1.3089 | 1.1441 |
| No log | 0.1212 | 12 | 1.1782 | 0.2411 | 1.1782 | 1.0855 |
| No log | 0.1414 | 14 | 1.1647 | 0.1757 | 1.1647 | 1.0792 |
| No log | 0.1616 | 16 | 1.0904 | 0.2433 | 1.0904 | 1.0442 |
| No log | 0.1818 | 18 | 1.4408 | 0.1323 | 1.4408 | 1.2003 |
| No log | 0.2020 | 20 | 1.8277 | 0.1487 | 1.8277 | 1.3519 |
| No log | 0.2222 | 22 | 1.8397 | 0.1428 | 1.8397 | 1.3564 |
| No log | 0.2424 | 24 | 1.5233 | 0.1574 | 1.5233 | 1.2342 |
| No log | 0.2626 | 26 | 1.1175 | 0.2993 | 1.1175 | 1.0571 |
| No log | 0.2828 | 28 | 1.1016 | 0.2080 | 1.1016 | 1.0495 |
| No log | 0.3030 | 30 | 1.4100 | 0.0630 | 1.4100 | 1.1874 |
| No log | 0.3232 | 32 | 1.2547 | 0.0747 | 1.2547 | 1.1201 |
| No log | 0.3434 | 34 | 1.0621 | 0.3347 | 1.0621 | 1.0306 |
| No log | 0.3636 | 36 | 1.3045 | 0.2209 | 1.3045 | 1.1421 |
| No log | 0.3838 | 38 | 1.7707 | 0.1749 | 1.7707 | 1.3307 |
| No log | 0.4040 | 40 | 1.8763 | 0.1391 | 1.8763 | 1.3698 |
| No log | 0.4242 | 42 | 1.5103 | 0.1495 | 1.5103 | 1.2290 |
| No log | 0.4444 | 44 | 1.1731 | 0.2853 | 1.1731 | 1.0831 |
| No log | 0.4646 | 46 | 1.1296 | 0.3064 | 1.1296 | 1.0628 |
| No log | 0.4848 | 48 | 1.1342 | 0.2892 | 1.1342 | 1.0650 |
| No log | 0.5051 | 50 | 1.0784 | 0.3532 | 1.0784 | 1.0384 |
| No log | 0.5253 | 52 | 1.0395 | 0.2999 | 1.0395 | 1.0195 |
| No log | 0.5455 | 54 | 1.0178 | 0.3978 | 1.0178 | 1.0088 |
| No log | 0.5657 | 56 | 1.1586 | 0.4356 | 1.1586 | 1.0764 |
| No log | 0.5859 | 58 | 1.1413 | 0.4494 | 1.1413 | 1.0683 |
| No log | 0.6061 | 60 | 1.2503 | 0.4282 | 1.2503 | 1.1182 |
| No log | 0.6263 | 62 | 1.3368 | 0.4108 | 1.3368 | 1.1562 |
| No log | 0.6465 | 64 | 1.1937 | 0.4555 | 1.1937 | 1.0926 |
| No log | 0.6667 | 66 | 1.0062 | 0.5189 | 1.0062 | 1.0031 |
| No log | 0.6869 | 68 | 0.7676 | 0.5832 | 0.7676 | 0.8761 |
| No log | 0.7071 | 70 | 0.7432 | 0.6076 | 0.7432 | 0.8621 |
| No log | 0.7273 | 72 | 0.7272 | 0.6155 | 0.7272 | 0.8527 |
| No log | 0.7475 | 74 | 0.7003 | 0.6227 | 0.7003 | 0.8368 |
| No log | 0.7677 | 76 | 0.7353 | 0.6355 | 0.7353 | 0.8575 |
| No log | 0.7879 | 78 | 0.7416 | 0.6341 | 0.7416 | 0.8612 |
| No log | 0.8081 | 80 | 0.8373 | 0.5054 | 0.8373 | 0.9150 |
| No log | 0.8283 | 82 | 0.8826 | 0.4910 | 0.8826 | 0.9395 |
| No log | 0.8485 | 84 | 1.0048 | 0.4242 | 1.0048 | 1.0024 |
| No log | 0.8687 | 86 | 0.8815 | 0.4524 | 0.8815 | 0.9389 |
| No log | 0.8889 | 88 | 0.7907 | 0.5785 | 0.7907 | 0.8892 |
| No log | 0.9091 | 90 | 0.7841 | 0.5367 | 0.7841 | 0.8855 |
| No log | 0.9293 | 92 | 0.7868 | 0.5383 | 0.7868 | 0.8870 |
| No log | 0.9495 | 94 | 0.7268 | 0.5635 | 0.7268 | 0.8525 |
| No log | 0.9697 | 96 | 0.7234 | 0.5576 | 0.7234 | 0.8505 |
| No log | 0.9899 | 98 | 0.8755 | 0.5896 | 0.8755 | 0.9357 |
| No log | 1.0101 | 100 | 0.9459 | 0.5468 | 0.9459 | 0.9726 |
| No log | 1.0303 | 102 | 1.1547 | 0.4654 | 1.1547 | 1.0746 |
| No log | 1.0505 | 104 | 0.8868 | 0.5694 | 0.8868 | 0.9417 |
| No log | 1.0707 | 106 | 0.7628 | 0.5740 | 0.7628 | 0.8734 |
| No log | 1.0909 | 108 | 0.6968 | 0.6065 | 0.6968 | 0.8348 |
| No log | 1.1111 | 110 | 0.7081 | 0.6685 | 0.7081 | 0.8415 |
| No log | 1.1313 | 112 | 0.7012 | 0.6036 | 0.7012 | 0.8374 |
| No log | 1.1515 | 114 | 0.7935 | 0.5793 | 0.7935 | 0.8908 |
| No log | 1.1717 | 116 | 0.7364 | 0.5573 | 0.7364 | 0.8581 |
| No log | 1.1919 | 118 | 0.7080 | 0.6453 | 0.7080 | 0.8415 |
| No log | 1.2121 | 120 | 1.0527 | 0.4820 | 1.0527 | 1.0260 |
| No log | 1.2323 | 122 | 1.2496 | 0.3952 | 1.2496 | 1.1179 |
| No log | 1.2525 | 124 | 1.0692 | 0.4936 | 1.0692 | 1.0340 |
| No log | 1.2727 | 126 | 0.7896 | 0.5898 | 0.7896 | 0.8886 |
| No log | 1.2929 | 128 | 0.6988 | 0.6606 | 0.6988 | 0.8359 |
| No log | 1.3131 | 130 | 0.7090 | 0.6278 | 0.7090 | 0.8420 |
| No log | 1.3333 | 132 | 0.7869 | 0.6185 | 0.7869 | 0.8871 |
| No log | 1.3535 | 134 | 0.7773 | 0.6238 | 0.7773 | 0.8817 |
| No log | 1.3737 | 136 | 0.7582 | 0.6548 | 0.7582 | 0.8708 |
| No log | 1.3939 | 138 | 0.7014 | 0.6557 | 0.7014 | 0.8375 |
| No log | 1.4141 | 140 | 0.6841 | 0.5986 | 0.6841 | 0.8271 |
| No log | 1.4343 | 142 | 0.7164 | 0.5695 | 0.7164 | 0.8464 |
| No log | 1.4545 | 144 | 0.6821 | 0.6091 | 0.6821 | 0.8259 |
| No log | 1.4747 | 146 | 0.7722 | 0.6442 | 0.7722 | 0.8788 |
| No log | 1.4949 | 148 | 0.9388 | 0.6043 | 0.9388 | 0.9689 |
| No log | 1.5152 | 150 | 0.9154 | 0.5862 | 0.9154 | 0.9567 |
| No log | 1.5354 | 152 | 0.7234 | 0.6311 | 0.7234 | 0.8505 |
| No log | 1.5556 | 154 | 0.6759 | 0.6372 | 0.6759 | 0.8221 |
| No log | 1.5758 | 156 | 0.6768 | 0.6280 | 0.6768 | 0.8227 |
| No log | 1.5960 | 158 | 0.7244 | 0.5828 | 0.7244 | 0.8511 |
| No log | 1.6162 | 160 | 0.9651 | 0.4600 | 0.9651 | 0.9824 |
| No log | 1.6364 | 162 | 1.0065 | 0.4598 | 1.0065 | 1.0033 |
| No log | 1.6566 | 164 | 0.8486 | 0.5589 | 0.8486 | 0.9212 |
| No log | 1.6768 | 166 | 0.7326 | 0.5256 | 0.7326 | 0.8559 |
| No log | 1.6970 | 168 | 0.7461 | 0.5355 | 0.7461 | 0.8638 |
| No log | 1.7172 | 170 | 0.7395 | 0.5227 | 0.7395 | 0.8600 |
| No log | 1.7374 | 172 | 0.7591 | 0.5317 | 0.7591 | 0.8712 |
| No log | 1.7576 | 174 | 0.8229 | 0.5308 | 0.8229 | 0.9071 |
| No log | 1.7778 | 176 | 0.7793 | 0.5919 | 0.7793 | 0.8828 |
| No log | 1.7980 | 178 | 0.7191 | 0.5137 | 0.7191 | 0.8480 |
| No log | 1.8182 | 180 | 0.7139 | 0.5370 | 0.7139 | 0.8449 |
| No log | 1.8384 | 182 | 0.7840 | 0.6103 | 0.7840 | 0.8854 |
| No log | 1.8586 | 184 | 0.8549 | 0.6372 | 0.8549 | 0.9246 |
| No log | 1.8788 | 186 | 0.7536 | 0.6606 | 0.7536 | 0.8681 |
| No log | 1.8990 | 188 | 0.6736 | 0.6569 | 0.6736 | 0.8208 |
| No log | 1.9192 | 190 | 0.6429 | 0.6916 | 0.6429 | 0.8018 |
| No log | 1.9394 | 192 | 0.6506 | 0.6993 | 0.6506 | 0.8066 |
| No log | 1.9596 | 194 | 0.6698 | 0.6772 | 0.6698 | 0.8184 |
| No log | 1.9798 | 196 | 0.6510 | 0.6849 | 0.6510 | 0.8068 |
| No log | 2.0 | 198 | 0.6435 | 0.6972 | 0.6435 | 0.8022 |
| No log | 2.0202 | 200 | 0.6619 | 0.6799 | 0.6619 | 0.8136 |
| No log | 2.0404 | 202 | 0.6659 | 0.5986 | 0.6659 | 0.8160 |
| No log | 2.0606 | 204 | 0.6763 | 0.5823 | 0.6763 | 0.8223 |
| No log | 2.0808 | 206 | 0.6654 | 0.6457 | 0.6654 | 0.8157 |
| No log | 2.1010 | 208 | 0.6390 | 0.7067 | 0.6390 | 0.7993 |
| No log | 2.1212 | 210 | 0.6292 | 0.7084 | 0.6292 | 0.7932 |
| No log | 2.1414 | 212 | 0.6243 | 0.7189 | 0.6243 | 0.7901 |
| No log | 2.1616 | 214 | 0.6391 | 0.6547 | 0.6391 | 0.7994 |
| No log | 2.1818 | 216 | 0.6390 | 0.6315 | 0.6390 | 0.7994 |
| No log | 2.2020 | 218 | 0.6316 | 0.6579 | 0.6316 | 0.7947 |
| No log | 2.2222 | 220 | 0.6367 | 0.6794 | 0.6367 | 0.7979 |
| No log | 2.2424 | 222 | 0.6567 | 0.6859 | 0.6567 | 0.8104 |
| No log | 2.2626 | 224 | 0.6202 | 0.7105 | 0.6202 | 0.7875 |
| No log | 2.2828 | 226 | 0.6303 | 0.7166 | 0.6303 | 0.7939 |
| No log | 2.3030 | 228 | 0.6186 | 0.7323 | 0.6186 | 0.7865 |
| No log | 2.3232 | 230 | 0.6249 | 0.6922 | 0.6249 | 0.7905 |
| No log | 2.3434 | 232 | 0.6322 | 0.6888 | 0.6322 | 0.7951 |
| No log | 2.3636 | 234 | 0.6075 | 0.7173 | 0.6075 | 0.7794 |
| No log | 2.3838 | 236 | 0.6837 | 0.6945 | 0.6837 | 0.8268 |
| No log | 2.4040 | 238 | 0.7742 | 0.6383 | 0.7742 | 0.8799 |
| No log | 2.4242 | 240 | 0.6792 | 0.6768 | 0.6792 | 0.8242 |
| No log | 2.4444 | 242 | 0.6265 | 0.7052 | 0.6265 | 0.7915 |
| No log | 2.4646 | 244 | 0.6255 | 0.7131 | 0.6255 | 0.7909 |
| No log | 2.4848 | 246 | 0.6335 | 0.7125 | 0.6335 | 0.7959 |
| No log | 2.5051 | 248 | 0.6557 | 0.7203 | 0.6557 | 0.8097 |
| No log | 2.5253 | 250 | 0.7640 | 0.6051 | 0.7640 | 0.8741 |
| No log | 2.5455 | 252 | 0.8574 | 0.5849 | 0.8574 | 0.9260 |
| No log | 2.5657 | 254 | 0.7514 | 0.6547 | 0.7514 | 0.8668 |
| No log | 2.5859 | 256 | 0.6669 | 0.6014 | 0.6669 | 0.8166 |
| No log | 2.6061 | 258 | 0.7299 | 0.5957 | 0.7299 | 0.8543 |
| No log | 2.6263 | 260 | 0.7250 | 0.6075 | 0.7250 | 0.8515 |
| No log | 2.6465 | 262 | 0.6693 | 0.5545 | 0.6693 | 0.8181 |
| No log | 2.6667 | 264 | 0.6844 | 0.6370 | 0.6844 | 0.8273 |
| No log | 2.6869 | 266 | 0.8083 | 0.5645 | 0.8083 | 0.8991 |
| No log | 2.7071 | 268 | 0.8291 | 0.5645 | 0.8291 | 0.9106 |
| No log | 2.7273 | 270 | 0.7064 | 0.6654 | 0.7064 | 0.8405 |
| No log | 2.7475 | 272 | 0.6420 | 0.6226 | 0.6420 | 0.8013 |
| No log | 2.7677 | 274 | 0.7452 | 0.6198 | 0.7452 | 0.8632 |
| No log | 2.7879 | 276 | 0.7258 | 0.6166 | 0.7258 | 0.8519 |
| No log | 2.8081 | 278 | 0.6248 | 0.7132 | 0.6248 | 0.7904 |
| No log | 2.8283 | 280 | 0.7195 | 0.6747 | 0.7195 | 0.8482 |
| No log | 2.8485 | 282 | 0.8943 | 0.5664 | 0.8943 | 0.9457 |
| No log | 2.8687 | 284 | 0.8692 | 0.5649 | 0.8692 | 0.9323 |
| No log | 2.8889 | 286 | 0.7375 | 0.6503 | 0.7375 | 0.8588 |
| No log | 2.9091 | 288 | 0.6586 | 0.6751 | 0.6586 | 0.8115 |
| No log | 2.9293 | 290 | 0.6608 | 0.5637 | 0.6608 | 0.8129 |
| No log | 2.9495 | 292 | 0.6539 | 0.5717 | 0.6539 | 0.8086 |
| No log | 2.9697 | 294 | 0.6388 | 0.6918 | 0.6388 | 0.7993 |
| No log | 2.9899 | 296 | 0.6671 | 0.7056 | 0.6671 | 0.8167 |
| No log | 3.0101 | 298 | 0.7221 | 0.6664 | 0.7221 | 0.8498 |
| No log | 3.0303 | 300 | 0.7040 | 0.6789 | 0.7040 | 0.8390 |
| No log | 3.0505 | 302 | 0.6940 | 0.7006 | 0.6940 | 0.8331 |
| No log | 3.0707 | 304 | 0.7295 | 0.6715 | 0.7295 | 0.8541 |
| No log | 3.0909 | 306 | 0.7935 | 0.6046 | 0.7935 | 0.8908 |
| No log | 3.1111 | 308 | 0.8599 | 0.5376 | 0.8599 | 0.9273 |
| No log | 3.1313 | 310 | 0.8554 | 0.5387 | 0.8554 | 0.9249 |
| No log | 3.1515 | 312 | 0.7916 | 0.5938 | 0.7916 | 0.8897 |
| No log | 3.1717 | 314 | 0.7368 | 0.6540 | 0.7368 | 0.8584 |
| No log | 3.1919 | 316 | 0.7054 | 0.6364 | 0.7054 | 0.8399 |
| No log | 3.2121 | 318 | 0.7094 | 0.6364 | 0.7094 | 0.8422 |
| No log | 3.2323 | 320 | 0.7675 | 0.6117 | 0.7675 | 0.8761 |
| No log | 3.2525 | 322 | 0.7852 | 0.6117 | 0.7852 | 0.8861 |
| No log | 3.2727 | 324 | 0.7142 | 0.6534 | 0.7142 | 0.8451 |
| No log | 3.2929 | 326 | 0.6750 | 0.6840 | 0.6750 | 0.8216 |
| No log | 3.3131 | 328 | 0.6434 | 0.6945 | 0.6434 | 0.8021 |
| No log | 3.3333 | 330 | 0.6290 | 0.6891 | 0.6290 | 0.7931 |
| No log | 3.3535 | 332 | 0.6330 | 0.6245 | 0.6330 | 0.7956 |
| No log | 3.3737 | 334 | 0.6138 | 0.6703 | 0.6138 | 0.7835 |
| No log | 3.3939 | 336 | 0.6320 | 0.7016 | 0.6320 | 0.7950 |
| No log | 3.4141 | 338 | 0.8217 | 0.6157 | 0.8217 | 0.9065 |
| No log | 3.4343 | 340 | 0.8330 | 0.6134 | 0.8330 | 0.9127 |
| No log | 3.4545 | 342 | 0.6733 | 0.6935 | 0.6733 | 0.8206 |
| No log | 3.4747 | 344 | 0.6070 | 0.6843 | 0.6070 | 0.7791 |
| No log | 3.4949 | 346 | 0.6403 | 0.6844 | 0.6403 | 0.8002 |
| No log | 3.5152 | 348 | 0.6653 | 0.6356 | 0.6653 | 0.8156 |
| No log | 3.5354 | 350 | 0.6678 | 0.5923 | 0.6678 | 0.8172 |
| No log | 3.5556 | 352 | 0.7176 | 0.6195 | 0.7176 | 0.8471 |
| No log | 3.5758 | 354 | 0.7164 | 0.6477 | 0.7164 | 0.8464 |
| No log | 3.5960 | 356 | 0.6645 | 0.6348 | 0.6645 | 0.8152 |
| No log | 3.6162 | 358 | 0.6623 | 0.5922 | 0.6623 | 0.8138 |
| No log | 3.6364 | 360 | 0.6570 | 0.6083 | 0.6570 | 0.8105 |
| No log | 3.6566 | 362 | 0.6687 | 0.6365 | 0.6687 | 0.8177 |
| No log | 3.6768 | 364 | 0.7325 | 0.6489 | 0.7325 | 0.8559 |
| No log | 3.6970 | 366 | 0.7909 | 0.6046 | 0.7909 | 0.8893 |
| No log | 3.7172 | 368 | 0.7728 | 0.6159 | 0.7728 | 0.8791 |
| No log | 3.7374 | 370 | 0.6764 | 0.6460 | 0.6764 | 0.8224 |
| No log | 3.7576 | 372 | 0.6731 | 0.5887 | 0.6731 | 0.8204 |
| No log | 3.7778 | 374 | 0.6963 | 0.5683 | 0.6963 | 0.8344 |
| No log | 3.7980 | 376 | 0.6886 | 0.5885 | 0.6886 | 0.8298 |
| No log | 3.8182 | 378 | 0.6567 | 0.6293 | 0.6567 | 0.8103 |
| No log | 3.8384 | 380 | 0.6684 | 0.6841 | 0.6684 | 0.8175 |
| No log | 3.8586 | 382 | 0.7394 | 0.6400 | 0.7394 | 0.8599 |
| No log | 3.8788 | 384 | 0.8398 | 0.5909 | 0.8398 | 0.9164 |
| No log | 3.8990 | 386 | 0.8122 | 0.6054 | 0.8122 | 0.9012 |
| No log | 3.9192 | 388 | 0.7121 | 0.6175 | 0.7121 | 0.8439 |
| No log | 3.9394 | 390 | 0.6866 | 0.5654 | 0.6866 | 0.8286 |
| No log | 3.9596 | 392 | 0.6726 | 0.5858 | 0.6726 | 0.8201 |
| No log | 3.9798 | 394 | 0.6454 | 0.6682 | 0.6454 | 0.8034 |
| No log | 4.0 | 396 | 0.6810 | 0.6739 | 0.6810 | 0.8252 |
| No log | 4.0202 | 398 | 0.7764 | 0.6109 | 0.7764 | 0.8811 |
| No log | 4.0404 | 400 | 0.8587 | 0.5590 | 0.8587 | 0.9267 |
| No log | 4.0606 | 402 | 0.8153 | 0.5955 | 0.8153 | 0.9029 |
| No log | 4.0808 | 404 | 0.6857 | 0.6643 | 0.6857 | 0.8281 |
| No log | 4.1010 | 406 | 0.6245 | 0.6796 | 0.6245 | 0.7903 |
| No log | 4.1212 | 408 | 0.6286 | 0.6746 | 0.6286 | 0.7928 |
| No log | 4.1414 | 410 | 0.6452 | 0.6043 | 0.6452 | 0.8032 |
| No log | 4.1616 | 412 | 0.6435 | 0.6603 | 0.6435 | 0.8022 |
| No log | 4.1818 | 414 | 0.6543 | 0.6753 | 0.6543 | 0.8089 |
| No log | 4.2020 | 416 | 0.6504 | 0.6741 | 0.6504 | 0.8065 |
| No log | 4.2222 | 418 | 0.6562 | 0.6191 | 0.6562 | 0.8100 |
| No log | 4.2424 | 420 | 0.6712 | 0.6201 | 0.6712 | 0.8193 |
| No log | 4.2626 | 422 | 0.6529 | 0.6224 | 0.6529 | 0.8080 |
| No log | 4.2828 | 424 | 0.6729 | 0.6903 | 0.6729 | 0.8203 |
| No log | 4.3030 | 426 | 0.6847 | 0.6753 | 0.6847 | 0.8275 |
| No log | 4.3232 | 428 | 0.6772 | 0.5989 | 0.6772 | 0.8229 |
| No log | 4.3434 | 430 | 0.6776 | 0.5654 | 0.6776 | 0.8231 |
| No log | 4.3636 | 432 | 0.6588 | 0.5856 | 0.6588 | 0.8116 |
| No log | 4.3838 | 434 | 0.6414 | 0.6594 | 0.6414 | 0.8009 |
| No log | 4.4040 | 436 | 0.6588 | 0.6927 | 0.6588 | 0.8116 |
| No log | 4.4242 | 438 | 0.6458 | 0.7043 | 0.6458 | 0.8036 |
| No log | 4.4444 | 440 | 0.6141 | 0.6844 | 0.6141 | 0.7836 |
| No log | 4.4646 | 442 | 0.6183 | 0.6928 | 0.6183 | 0.7863 |
| No log | 4.4848 | 444 | 0.6209 | 0.6873 | 0.6209 | 0.7880 |
| No log | 4.5051 | 446 | 0.6518 | 0.6652 | 0.6518 | 0.8074 |
| No log | 4.5253 | 448 | 0.7462 | 0.6408 | 0.7462 | 0.8639 |
| No log | 4.5455 | 450 | 0.8879 | 0.5622 | 0.8879 | 0.9423 |
| No log | 4.5657 | 452 | 0.8755 | 0.5622 | 0.8755 | 0.9357 |
| No log | 4.5859 | 454 | 0.7550 | 0.5971 | 0.7550 | 0.8689 |
| No log | 4.6061 | 456 | 0.6338 | 0.6617 | 0.6338 | 0.7961 |
| No log | 4.6263 | 458 | 0.6209 | 0.6779 | 0.6209 | 0.7880 |
| No log | 4.6465 | 460 | 0.6319 | 0.6454 | 0.6319 | 0.7949 |
| No log | 4.6667 | 462 | 0.6203 | 0.6532 | 0.6203 | 0.7876 |
| No log | 4.6869 | 464 | 0.6647 | 0.6764 | 0.6647 | 0.8153 |
| No log | 4.7071 | 466 | 0.6677 | 0.6454 | 0.6677 | 0.8171 |
| No log | 4.7273 | 468 | 0.6411 | 0.6553 | 0.6411 | 0.8007 |
| No log | 4.7475 | 470 | 0.6271 | 0.6674 | 0.6271 | 0.7919 |
| No log | 4.7677 | 472 | 0.6274 | 0.6556 | 0.6274 | 0.7921 |
| No log | 4.7879 | 474 | 0.7142 | 0.6718 | 0.7142 | 0.8451 |
| No log | 4.8081 | 476 | 0.8589 | 0.6330 | 0.8589 | 0.9268 |
| No log | 4.8283 | 478 | 0.8777 | 0.5988 | 0.8777 | 0.9369 |
| No log | 4.8485 | 480 | 0.9067 | 0.5861 | 0.9067 | 0.9522 |
| No log | 4.8687 | 482 | 0.9077 | 0.5639 | 0.9077 | 0.9527 |
| No log | 4.8889 | 484 | 0.8222 | 0.5899 | 0.8222 | 0.9068 |
| No log | 4.9091 | 486 | 0.7166 | 0.6474 | 0.7166 | 0.8465 |
| No log | 4.9293 | 488 | 0.6761 | 0.6284 | 0.6761 | 0.8222 |
| No log | 4.9495 | 490 | 0.6593 | 0.6436 | 0.6593 | 0.8120 |
| No log | 4.9697 | 492 | 0.6654 | 0.6748 | 0.6654 | 0.8157 |
| No log | 4.9899 | 494 | 0.7551 | 0.6604 | 0.7551 | 0.8690 |
| No log | 5.0101 | 496 | 0.7753 | 0.6321 | 0.7753 | 0.8805 |
| No log | 5.0303 | 498 | 0.7156 | 0.6801 | 0.7156 | 0.8459 |
| 0.4299 | 5.0505 | 500 | 0.6586 | 0.6177 | 0.6586 | 0.8115 |
| 0.4299 | 5.0707 | 502 | 0.6628 | 0.6009 | 0.6628 | 0.8141 |
| 0.4299 | 5.0909 | 504 | 0.6688 | 0.6607 | 0.6688 | 0.8178 |
| 0.4299 | 5.1111 | 506 | 0.7338 | 0.6633 | 0.7338 | 0.8566 |
| 0.4299 | 5.1313 | 508 | 0.8897 | 0.5960 | 0.8897 | 0.9432 |
| 0.4299 | 5.1515 | 510 | 0.9268 | 0.5852 | 0.9268 | 0.9627 |
| 0.4299 | 5.1717 | 512 | 0.8101 | 0.6676 | 0.8101 | 0.9000 |
| 0.4299 | 5.1919 | 514 | 0.6796 | 0.6600 | 0.6796 | 0.8244 |
| 0.4299 | 5.2121 | 516 | 0.6604 | 0.6321 | 0.6604 | 0.8127 |
| 0.4299 | 5.2323 | 518 | 0.6666 | 0.5671 | 0.6666 | 0.8164 |
| 0.4299 | 5.2525 | 520 | 0.6772 | 0.6406 | 0.6772 | 0.8229 |
| 0.4299 | 5.2727 | 522 | 0.7587 | 0.6613 | 0.7587 | 0.8710 |
| 0.4299 | 5.2929 | 524 | 0.8259 | 0.6039 | 0.8259 | 0.9088 |
| 0.4299 | 5.3131 | 526 | 0.7969 | 0.6371 | 0.7969 | 0.8927 |
| 0.4299 | 5.3333 | 528 | 0.6661 | 0.6816 | 0.6661 | 0.8162 |
| 0.4299 | 5.3535 | 530 | 0.6123 | 0.6828 | 0.6123 | 0.7825 |
| 0.4299 | 5.3737 | 532 | 0.6157 | 0.6840 | 0.6157 | 0.7847 |
| 0.4299 | 5.3939 | 534 | 0.6334 | 0.6725 | 0.6334 | 0.7959 |
| 0.4299 | 5.4141 | 536 | 0.6476 | 0.6816 | 0.6476 | 0.8048 |
| 0.4299 | 5.4343 | 538 | 0.6573 | 0.6998 | 0.6573 | 0.8108 |
| 0.4299 | 5.4545 | 540 | 0.6213 | 0.6886 | 0.6213 | 0.7883 |
| 0.4299 | 5.4747 | 542 | 0.6052 | 0.6884 | 0.6052 | 0.7779 |
| 0.4299 | 5.4949 | 544 | 0.6072 | 0.6816 | 0.6072 | 0.7792 |
| 0.4299 | 5.5152 | 546 | 0.6918 | 0.6844 | 0.6918 | 0.8318 |
| 0.4299 | 5.5354 | 548 | 0.8129 | 0.6687 | 0.8129 | 0.9016 |
| 0.4299 | 5.5556 | 550 | 0.8015 | 0.6314 | 0.8015 | 0.8952 |
| 0.4299 | 5.5758 | 552 | 0.7012 | 0.6912 | 0.7012 | 0.8374 |
| 0.4299 | 5.5960 | 554 | 0.6409 | 0.6258 | 0.6409 | 0.8005 |
| 0.4299 | 5.6162 | 556 | 0.6449 | 0.6270 | 0.6449 | 0.8031 |
| 0.4299 | 5.6364 | 558 | 0.6514 | 0.5902 | 0.6514 | 0.8071 |
| 0.4299 | 5.6566 | 560 | 0.6639 | 0.5946 | 0.6639 | 0.8148 |
| 0.4299 | 5.6768 | 562 | 0.7030 | 0.6544 | 0.7030 | 0.8384 |
| 0.4299 | 5.6970 | 564 | 0.7785 | 0.6268 | 0.7785 | 0.8823 |
| 0.4299 | 5.7172 | 566 | 0.8390 | 0.6365 | 0.8390 | 0.9159 |
| 0.4299 | 5.7374 | 568 | 0.7779 | 0.6718 | 0.7779 | 0.8820 |
| 0.4299 | 5.7576 | 570 | 0.6845 | 0.6624 | 0.6845 | 0.8273 |
| 0.4299 | 5.7778 | 572 | 0.6472 | 0.6904 | 0.6472 | 0.8045 |
| 0.4299 | 5.7980 | 574 | 0.6605 | 0.6896 | 0.6605 | 0.8127 |
| 0.4299 | 5.8182 | 576 | 0.6972 | 0.6958 | 0.6972 | 0.8350 |
| 0.4299 | 5.8384 | 578 | 0.7055 | 0.6821 | 0.7055 | 0.8399 |
| 0.4299 | 5.8586 | 580 | 0.7167 | 0.6516 | 0.7167 | 0.8466 |
| 0.4299 | 5.8788 | 582 | 0.6744 | 0.6521 | 0.6744 | 0.8212 |
| 0.4299 | 5.8990 | 584 | 0.6470 | 0.6293 | 0.6470 | 0.8044 |
| 0.4299 | 5.9192 | 586 | 0.6474 | 0.6370 | 0.6474 | 0.8046 |
| 0.4299 | 5.9394 | 588 | 0.6488 | 0.6339 | 0.6488 | 0.8055 |
| 0.4299 | 5.9596 | 590 | 0.6526 | 0.6383 | 0.6526 | 0.8078 |
| 0.4299 | 5.9798 | 592 | 0.6707 | 0.6683 | 0.6707 | 0.8190 |
| 0.4299 | 6.0 | 594 | 0.7578 | 0.6478 | 0.7578 | 0.8705 |
| 0.4299 | 6.0202 | 596 | 0.9784 | 0.5706 | 0.9784 | 0.9891 |
| 0.4299 | 6.0404 | 598 | 1.1270 | 0.5625 | 1.1270 | 1.0616 |
| 0.4299 | 6.0606 | 600 | 1.0745 | 0.5625 | 1.0745 | 1.0366 |
| 0.4299 | 6.0808 | 602 | 0.8566 | 0.6151 | 0.8566 | 0.9255 |
| 0.4299 | 6.1010 | 604 | 0.7293 | 0.6376 | 0.7293 | 0.8540 |
| 0.4299 | 6.1212 | 606 | 0.7235 | 0.6062 | 0.7235 | 0.8506 |
| 0.4299 | 6.1414 | 608 | 0.7300 | 0.5529 | 0.7300 | 0.8544 |
| 0.4299 | 6.1616 | 610 | 0.7590 | 0.5302 | 0.7590 | 0.8712 |
| 0.4299 | 6.1818 | 612 | 0.7537 | 0.5157 | 0.7537 | 0.8682 |
| 0.4299 | 6.2020 | 614 | 0.7177 | 0.5342 | 0.7177 | 0.8471 |
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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k20_task1_organization
Base model
aubmindlab/bert-base-arabertv02