Instructions to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_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: 1.0271
- Qwk: 0.5869
- Mse: 1.0271
- Rmse: 1.0135
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0392 | 2 | 2.1780 | 0.0699 | 2.1780 | 1.4758 |
| No log | 0.0784 | 4 | 1.4833 | 0.1973 | 1.4833 | 1.2179 |
| No log | 0.1176 | 6 | 1.3405 | 0.1888 | 1.3405 | 1.1578 |
| No log | 0.1569 | 8 | 1.6008 | 0.3654 | 1.6008 | 1.2652 |
| No log | 0.1961 | 10 | 1.9457 | 0.2443 | 1.9457 | 1.3949 |
| No log | 0.2353 | 12 | 2.1941 | 0.2090 | 2.1941 | 1.4813 |
| No log | 0.2745 | 14 | 1.7499 | 0.1058 | 1.7499 | 1.3228 |
| No log | 0.3137 | 16 | 1.6662 | 0.0915 | 1.6662 | 1.2908 |
| No log | 0.3529 | 18 | 1.5549 | 0.0727 | 1.5549 | 1.2469 |
| No log | 0.3922 | 20 | 1.7662 | 0.1924 | 1.7662 | 1.3290 |
| No log | 0.4314 | 22 | 2.1372 | 0.2303 | 2.1372 | 1.4619 |
| No log | 0.4706 | 24 | 2.0674 | 0.2518 | 2.0674 | 1.4379 |
| No log | 0.5098 | 26 | 1.7969 | 0.2641 | 1.7969 | 1.3405 |
| No log | 0.5490 | 28 | 1.4581 | 0.0541 | 1.4581 | 1.2075 |
| No log | 0.5882 | 30 | 1.3921 | 0.1399 | 1.3921 | 1.1799 |
| No log | 0.6275 | 32 | 1.3390 | 0.2293 | 1.3390 | 1.1572 |
| No log | 0.6667 | 34 | 1.3304 | 0.2641 | 1.3304 | 1.1534 |
| No log | 0.7059 | 36 | 1.3110 | 0.2247 | 1.3110 | 1.1450 |
| No log | 0.7451 | 38 | 1.3368 | 0.2643 | 1.3368 | 1.1562 |
| No log | 0.7843 | 40 | 1.4853 | 0.2691 | 1.4853 | 1.2187 |
| No log | 0.8235 | 42 | 1.7906 | 0.2808 | 1.7906 | 1.3381 |
| No log | 0.8627 | 44 | 1.8483 | 0.2808 | 1.8483 | 1.3595 |
| No log | 0.9020 | 46 | 1.5198 | 0.3075 | 1.5198 | 1.2328 |
| No log | 0.9412 | 48 | 1.3029 | 0.2189 | 1.3029 | 1.1415 |
| No log | 0.9804 | 50 | 1.2451 | 0.2577 | 1.2451 | 1.1158 |
| No log | 1.0196 | 52 | 1.3943 | 0.3569 | 1.3943 | 1.1808 |
| No log | 1.0588 | 54 | 2.0454 | 0.3507 | 2.0454 | 1.4302 |
| No log | 1.0980 | 56 | 2.0680 | 0.3333 | 2.0680 | 1.4381 |
| No log | 1.1373 | 58 | 1.5101 | 0.4169 | 1.5101 | 1.2289 |
| No log | 1.1765 | 60 | 1.1632 | 0.3827 | 1.1632 | 1.0785 |
| No log | 1.2157 | 62 | 1.0961 | 0.4316 | 1.0961 | 1.0470 |
| No log | 1.2549 | 64 | 1.1932 | 0.3971 | 1.1932 | 1.0923 |
| No log | 1.2941 | 66 | 1.2921 | 0.4277 | 1.2921 | 1.1367 |
| No log | 1.3333 | 68 | 1.1809 | 0.3854 | 1.1809 | 1.0867 |
| No log | 1.3725 | 70 | 1.0709 | 0.4312 | 1.0709 | 1.0349 |
| No log | 1.4118 | 72 | 1.1163 | 0.4426 | 1.1163 | 1.0565 |
| No log | 1.4510 | 74 | 1.2363 | 0.4587 | 1.2363 | 1.1119 |
| No log | 1.4902 | 76 | 1.5479 | 0.5024 | 1.5479 | 1.2441 |
| No log | 1.5294 | 78 | 1.9337 | 0.4674 | 1.9337 | 1.3906 |
| No log | 1.5686 | 80 | 1.8372 | 0.5005 | 1.8372 | 1.3554 |
| No log | 1.6078 | 82 | 1.6441 | 0.5158 | 1.6441 | 1.2822 |
| No log | 1.6471 | 84 | 1.2453 | 0.4958 | 1.2453 | 1.1160 |
| No log | 1.6863 | 86 | 1.4267 | 0.4821 | 1.4267 | 1.1945 |
| No log | 1.7255 | 88 | 1.5521 | 0.4785 | 1.5521 | 1.2458 |
| No log | 1.7647 | 90 | 1.5785 | 0.4934 | 1.5785 | 1.2564 |
| No log | 1.8039 | 92 | 1.4055 | 0.5124 | 1.4055 | 1.1856 |
| No log | 1.8431 | 94 | 1.1434 | 0.5308 | 1.1434 | 1.0693 |
| No log | 1.8824 | 96 | 1.1408 | 0.5553 | 1.1408 | 1.0681 |
| No log | 1.9216 | 98 | 1.3090 | 0.5564 | 1.3090 | 1.1441 |
| No log | 1.9608 | 100 | 1.6552 | 0.5308 | 1.6552 | 1.2865 |
| No log | 2.0 | 102 | 1.2080 | 0.5649 | 1.2080 | 1.0991 |
| No log | 2.0392 | 104 | 0.8600 | 0.5854 | 0.8600 | 0.9274 |
| No log | 2.0784 | 106 | 0.8313 | 0.5860 | 0.8313 | 0.9118 |
| No log | 2.1176 | 108 | 0.8696 | 0.6070 | 0.8696 | 0.9325 |
| No log | 2.1569 | 110 | 1.3350 | 0.5747 | 1.3350 | 1.1554 |
| No log | 2.1961 | 112 | 2.3487 | 0.3945 | 2.3487 | 1.5326 |
| No log | 2.2353 | 114 | 2.4365 | 0.3610 | 2.4365 | 1.5609 |
| No log | 2.2745 | 116 | 1.7442 | 0.4481 | 1.7442 | 1.3207 |
| No log | 2.3137 | 118 | 1.2487 | 0.5107 | 1.2487 | 1.1174 |
| No log | 2.3529 | 120 | 1.0516 | 0.5033 | 1.0516 | 1.0255 |
| No log | 2.3922 | 122 | 1.1224 | 0.5208 | 1.1224 | 1.0595 |
| No log | 2.4314 | 124 | 1.2056 | 0.5503 | 1.2056 | 1.0980 |
| No log | 2.4706 | 126 | 1.0747 | 0.5744 | 1.0747 | 1.0367 |
| No log | 2.5098 | 128 | 1.1021 | 0.5554 | 1.1021 | 1.0498 |
| No log | 2.5490 | 130 | 1.1773 | 0.5470 | 1.1773 | 1.0850 |
| No log | 2.5882 | 132 | 1.3276 | 0.5304 | 1.3276 | 1.1522 |
| No log | 2.6275 | 134 | 1.5266 | 0.5393 | 1.5266 | 1.2355 |
| No log | 2.6667 | 136 | 1.2335 | 0.5376 | 1.2335 | 1.1106 |
| No log | 2.7059 | 138 | 1.2069 | 0.5348 | 1.2069 | 1.0986 |
| No log | 2.7451 | 140 | 1.4182 | 0.5392 | 1.4182 | 1.1909 |
| No log | 2.7843 | 142 | 1.4856 | 0.5343 | 1.4856 | 1.2188 |
| No log | 2.8235 | 144 | 1.1598 | 0.5561 | 1.1598 | 1.0769 |
| No log | 2.8627 | 146 | 0.9704 | 0.5478 | 0.9704 | 0.9851 |
| No log | 2.9020 | 148 | 0.9359 | 0.5395 | 0.9359 | 0.9674 |
| No log | 2.9412 | 150 | 1.1125 | 0.5470 | 1.1125 | 1.0547 |
| No log | 2.9804 | 152 | 1.4044 | 0.5354 | 1.4044 | 1.1851 |
| No log | 3.0196 | 154 | 1.3956 | 0.5356 | 1.3956 | 1.1813 |
| No log | 3.0588 | 156 | 1.1284 | 0.5625 | 1.1284 | 1.0623 |
| No log | 3.0980 | 158 | 0.9180 | 0.5873 | 0.9180 | 0.9581 |
| No log | 3.1373 | 160 | 0.9036 | 0.5873 | 0.9036 | 0.9506 |
| No log | 3.1765 | 162 | 0.9323 | 0.5966 | 0.9323 | 0.9656 |
| No log | 3.2157 | 164 | 1.0470 | 0.5633 | 1.0470 | 1.0232 |
| No log | 3.2549 | 166 | 1.2563 | 0.5527 | 1.2563 | 1.1208 |
| No log | 3.2941 | 168 | 1.2330 | 0.5503 | 1.2330 | 1.1104 |
| No log | 3.3333 | 170 | 1.0441 | 0.5857 | 1.0441 | 1.0218 |
| No log | 3.3725 | 172 | 0.9148 | 0.6055 | 0.9148 | 0.9565 |
| No log | 3.4118 | 174 | 0.8385 | 0.6407 | 0.8385 | 0.9157 |
| No log | 3.4510 | 176 | 0.8495 | 0.6290 | 0.8495 | 0.9217 |
| No log | 3.4902 | 178 | 0.9312 | 0.6219 | 0.9312 | 0.9650 |
| No log | 3.5294 | 180 | 1.0660 | 0.6000 | 1.0660 | 1.0325 |
| No log | 3.5686 | 182 | 1.3448 | 0.5510 | 1.3448 | 1.1596 |
| No log | 3.6078 | 184 | 1.2467 | 0.5551 | 1.2467 | 1.1165 |
| No log | 3.6471 | 186 | 1.1388 | 0.5850 | 1.1388 | 1.0672 |
| No log | 3.6863 | 188 | 0.9436 | 0.6165 | 0.9436 | 0.9714 |
| No log | 3.7255 | 190 | 0.8235 | 0.6114 | 0.8235 | 0.9075 |
| No log | 3.7647 | 192 | 0.8581 | 0.5867 | 0.8581 | 0.9264 |
| No log | 3.8039 | 194 | 1.1032 | 0.5757 | 1.1032 | 1.0503 |
| No log | 3.8431 | 196 | 1.4574 | 0.5429 | 1.4574 | 1.2072 |
| No log | 3.8824 | 198 | 1.4212 | 0.5426 | 1.4212 | 1.1922 |
| No log | 3.9216 | 200 | 1.1194 | 0.5702 | 1.1194 | 1.0580 |
| No log | 3.9608 | 202 | 0.9150 | 0.5877 | 0.9150 | 0.9565 |
| No log | 4.0 | 204 | 0.8502 | 0.6006 | 0.8502 | 0.9221 |
| No log | 4.0392 | 206 | 0.9154 | 0.5780 | 0.9154 | 0.9567 |
| No log | 4.0784 | 208 | 1.1556 | 0.5367 | 1.1556 | 1.0750 |
| No log | 4.1176 | 210 | 1.3295 | 0.5539 | 1.3295 | 1.1530 |
| No log | 4.1569 | 212 | 1.2202 | 0.5469 | 1.2202 | 1.1046 |
| No log | 4.1961 | 214 | 1.0264 | 0.5967 | 1.0264 | 1.0131 |
| No log | 4.2353 | 216 | 0.8886 | 0.6278 | 0.8886 | 0.9427 |
| No log | 4.2745 | 218 | 0.9268 | 0.6035 | 0.9268 | 0.9627 |
| No log | 4.3137 | 220 | 1.0540 | 0.5967 | 1.0540 | 1.0267 |
| No log | 4.3529 | 222 | 1.1668 | 0.5587 | 1.1668 | 1.0802 |
| No log | 4.3922 | 224 | 1.1317 | 0.5649 | 1.1317 | 1.0638 |
| No log | 4.4314 | 226 | 0.9861 | 0.5938 | 0.9861 | 0.9930 |
| No log | 4.4706 | 228 | 0.9051 | 0.6177 | 0.9051 | 0.9514 |
| No log | 4.5098 | 230 | 0.9431 | 0.5930 | 0.9431 | 0.9711 |
| No log | 4.5490 | 232 | 1.0983 | 0.5923 | 1.0983 | 1.0480 |
| No log | 4.5882 | 234 | 1.1815 | 0.5544 | 1.1815 | 1.0870 |
| No log | 4.6275 | 236 | 1.1338 | 0.5724 | 1.1338 | 1.0648 |
| No log | 4.6667 | 238 | 0.9810 | 0.5825 | 0.9810 | 0.9905 |
| No log | 4.7059 | 240 | 0.9948 | 0.5834 | 0.9948 | 0.9974 |
| No log | 4.7451 | 242 | 1.0372 | 0.5985 | 1.0372 | 1.0184 |
| No log | 4.7843 | 244 | 1.1475 | 0.6046 | 1.1475 | 1.0712 |
| No log | 4.8235 | 246 | 1.2397 | 0.5974 | 1.2397 | 1.1134 |
| No log | 4.8627 | 248 | 1.2449 | 0.5851 | 1.2449 | 1.1158 |
| No log | 4.9020 | 250 | 1.2501 | 0.5785 | 1.2501 | 1.1181 |
| No log | 4.9412 | 252 | 1.2698 | 0.5688 | 1.2698 | 1.1269 |
| No log | 4.9804 | 254 | 1.0946 | 0.6099 | 1.0946 | 1.0462 |
| No log | 5.0196 | 256 | 1.0590 | 0.6006 | 1.0590 | 1.0291 |
| No log | 5.0588 | 258 | 1.1929 | 0.5937 | 1.1929 | 1.0922 |
| No log | 5.0980 | 260 | 1.2418 | 0.5441 | 1.2418 | 1.1143 |
| No log | 5.1373 | 262 | 1.3040 | 0.5335 | 1.3040 | 1.1419 |
| No log | 5.1765 | 264 | 1.2396 | 0.5399 | 1.2396 | 1.1134 |
| No log | 5.2157 | 266 | 1.2231 | 0.5399 | 1.2231 | 1.1059 |
| No log | 5.2549 | 268 | 1.2190 | 0.5524 | 1.2190 | 1.1041 |
| No log | 5.2941 | 270 | 1.1483 | 0.5747 | 1.1483 | 1.0716 |
| No log | 5.3333 | 272 | 1.2461 | 0.5567 | 1.2461 | 1.1163 |
| No log | 5.3725 | 274 | 1.3038 | 0.5757 | 1.3038 | 1.1418 |
| No log | 5.4118 | 276 | 1.3021 | 0.5668 | 1.3021 | 1.1411 |
| No log | 5.4510 | 278 | 1.3790 | 0.5699 | 1.3790 | 1.1743 |
| No log | 5.4902 | 280 | 1.3235 | 0.5699 | 1.3235 | 1.1504 |
| No log | 5.5294 | 282 | 1.1766 | 0.5991 | 1.1766 | 1.0847 |
| No log | 5.5686 | 284 | 1.2113 | 0.5953 | 1.2113 | 1.1006 |
| No log | 5.6078 | 286 | 1.2856 | 0.5673 | 1.2856 | 1.1339 |
| No log | 5.6471 | 288 | 1.2619 | 0.5576 | 1.2619 | 1.1234 |
| No log | 5.6863 | 290 | 1.2202 | 0.5518 | 1.2202 | 1.1046 |
| No log | 5.7255 | 292 | 1.1142 | 0.5631 | 1.1142 | 1.0556 |
| No log | 5.7647 | 294 | 0.9667 | 0.5455 | 0.9667 | 0.9832 |
| No log | 5.8039 | 296 | 0.9351 | 0.5387 | 0.9351 | 0.9670 |
| No log | 5.8431 | 298 | 0.9731 | 0.5572 | 0.9731 | 0.9865 |
| No log | 5.8824 | 300 | 1.0195 | 0.5804 | 1.0195 | 1.0097 |
| No log | 5.9216 | 302 | 1.1357 | 0.5479 | 1.1357 | 1.0657 |
| No log | 5.9608 | 304 | 1.2969 | 0.5577 | 1.2969 | 1.1388 |
| No log | 6.0 | 306 | 1.3009 | 0.5494 | 1.3009 | 1.1406 |
| No log | 6.0392 | 308 | 1.1748 | 0.5639 | 1.1748 | 1.0839 |
| No log | 6.0784 | 310 | 1.1144 | 0.5659 | 1.1144 | 1.0557 |
| No log | 6.1176 | 312 | 1.1148 | 0.5659 | 1.1148 | 1.0558 |
| No log | 6.1569 | 314 | 1.1566 | 0.5505 | 1.1566 | 1.0754 |
| No log | 6.1961 | 316 | 1.1064 | 0.5479 | 1.1064 | 1.0519 |
| No log | 6.2353 | 318 | 1.0378 | 0.5688 | 1.0378 | 1.0187 |
| No log | 6.2745 | 320 | 1.0250 | 0.5699 | 1.0250 | 1.0124 |
| No log | 6.3137 | 322 | 1.0354 | 0.5699 | 1.0354 | 1.0175 |
| No log | 6.3529 | 324 | 1.0830 | 0.5498 | 1.0830 | 1.0407 |
| No log | 6.3922 | 326 | 1.1758 | 0.5596 | 1.1758 | 1.0844 |
| No log | 6.4314 | 328 | 1.2039 | 0.5596 | 1.2039 | 1.0972 |
| No log | 6.4706 | 330 | 1.1331 | 0.5573 | 1.1331 | 1.0645 |
| No log | 6.5098 | 332 | 1.0195 | 0.5569 | 1.0195 | 1.0097 |
| No log | 6.5490 | 334 | 0.9939 | 0.5867 | 0.9939 | 0.9969 |
| No log | 6.5882 | 336 | 0.9392 | 0.5926 | 0.9392 | 0.9691 |
| No log | 6.6275 | 338 | 0.9476 | 0.5926 | 0.9476 | 0.9735 |
| No log | 6.6667 | 340 | 0.9747 | 0.6033 | 0.9747 | 0.9873 |
| No log | 6.7059 | 342 | 1.0561 | 0.5646 | 1.0561 | 1.0276 |
| No log | 6.7451 | 344 | 1.1052 | 0.5669 | 1.1052 | 1.0513 |
| No log | 6.7843 | 346 | 1.0565 | 0.5577 | 1.0565 | 1.0279 |
| No log | 6.8235 | 348 | 1.0334 | 0.5701 | 1.0334 | 1.0166 |
| No log | 6.8627 | 350 | 1.0004 | 0.5879 | 1.0004 | 1.0002 |
| No log | 6.9020 | 352 | 0.9752 | 0.5923 | 0.9752 | 0.9875 |
| No log | 6.9412 | 354 | 0.9386 | 0.6067 | 0.9386 | 0.9688 |
| No log | 6.9804 | 356 | 0.8573 | 0.6148 | 0.8573 | 0.9259 |
| No log | 7.0196 | 358 | 0.8331 | 0.6208 | 0.8331 | 0.9127 |
| No log | 7.0588 | 360 | 0.8628 | 0.6011 | 0.8628 | 0.9289 |
| No log | 7.0980 | 362 | 0.9560 | 0.5946 | 0.9560 | 0.9777 |
| No log | 7.1373 | 364 | 1.0935 | 0.5601 | 1.0935 | 1.0457 |
| No log | 7.1765 | 366 | 1.1784 | 0.5543 | 1.1784 | 1.0856 |
| No log | 7.2157 | 368 | 1.1558 | 0.5552 | 1.1558 | 1.0751 |
| No log | 7.2549 | 370 | 1.0840 | 0.5625 | 1.0840 | 1.0411 |
| No log | 7.2941 | 372 | 1.0102 | 0.5712 | 1.0102 | 1.0051 |
| No log | 7.3333 | 374 | 0.9913 | 0.5757 | 0.9913 | 0.9956 |
| No log | 7.3725 | 376 | 0.9822 | 0.5757 | 0.9822 | 0.9911 |
| No log | 7.4118 | 378 | 1.0119 | 0.5768 | 1.0119 | 1.0059 |
| No log | 7.4510 | 380 | 1.0791 | 0.5626 | 1.0791 | 1.0388 |
| No log | 7.4902 | 382 | 1.0776 | 0.5626 | 1.0776 | 1.0381 |
| No log | 7.5294 | 384 | 1.0442 | 0.5789 | 1.0442 | 1.0219 |
| No log | 7.5686 | 386 | 1.0553 | 0.5724 | 1.0553 | 1.0273 |
| No log | 7.6078 | 388 | 1.0829 | 0.5724 | 1.0829 | 1.0406 |
| No log | 7.6471 | 390 | 1.1191 | 0.5882 | 1.1191 | 1.0579 |
| No log | 7.6863 | 392 | 1.1252 | 0.5973 | 1.1252 | 1.0608 |
| No log | 7.7255 | 394 | 1.1170 | 0.5788 | 1.1170 | 1.0569 |
| No log | 7.7647 | 396 | 1.0607 | 0.5885 | 1.0607 | 1.0299 |
| No log | 7.8039 | 398 | 1.0451 | 0.5789 | 1.0451 | 1.0223 |
| No log | 7.8431 | 400 | 1.0354 | 0.5768 | 1.0354 | 1.0175 |
| No log | 7.8824 | 402 | 1.0298 | 0.5768 | 1.0298 | 1.0148 |
| No log | 7.9216 | 404 | 1.0526 | 0.5768 | 1.0526 | 1.0260 |
| No log | 7.9608 | 406 | 1.1233 | 0.5461 | 1.1233 | 1.0599 |
| No log | 8.0 | 408 | 1.1878 | 0.5483 | 1.1878 | 1.0899 |
| No log | 8.0392 | 410 | 1.1844 | 0.5483 | 1.1844 | 1.0883 |
| No log | 8.0784 | 412 | 1.1239 | 0.5461 | 1.1239 | 1.0602 |
| No log | 8.1176 | 414 | 1.0466 | 0.5768 | 1.0466 | 1.0230 |
| No log | 8.1569 | 416 | 0.9824 | 0.5848 | 0.9824 | 0.9912 |
| No log | 8.1961 | 418 | 0.9719 | 0.5913 | 0.9719 | 0.9858 |
| No log | 8.2353 | 420 | 0.9909 | 0.5811 | 0.9909 | 0.9954 |
| No log | 8.2745 | 422 | 1.0257 | 0.5789 | 1.0257 | 1.0128 |
| No log | 8.3137 | 424 | 1.0343 | 0.5789 | 1.0343 | 1.0170 |
| No log | 8.3529 | 426 | 1.0516 | 0.5626 | 1.0516 | 1.0255 |
| No log | 8.3922 | 428 | 1.0488 | 0.5626 | 1.0488 | 1.0241 |
| No log | 8.4314 | 430 | 1.0404 | 0.5626 | 1.0404 | 1.0200 |
| No log | 8.4706 | 432 | 1.0777 | 0.5626 | 1.0777 | 1.0381 |
| No log | 8.5098 | 434 | 1.0841 | 0.5626 | 1.0841 | 1.0412 |
| No log | 8.5490 | 436 | 1.1018 | 0.5506 | 1.1018 | 1.0496 |
| No log | 8.5882 | 438 | 1.0999 | 0.5463 | 1.0999 | 1.0488 |
| No log | 8.6275 | 440 | 1.0896 | 0.5506 | 1.0896 | 1.0438 |
| No log | 8.6667 | 442 | 1.0704 | 0.5481 | 1.0704 | 1.0346 |
| No log | 8.7059 | 444 | 1.0543 | 0.5481 | 1.0543 | 1.0268 |
| No log | 8.7451 | 446 | 1.0470 | 0.5481 | 1.0470 | 1.0232 |
| No log | 8.7843 | 448 | 1.0253 | 0.5602 | 1.0253 | 1.0126 |
| No log | 8.8235 | 450 | 1.0070 | 0.5677 | 1.0070 | 1.0035 |
| No log | 8.8627 | 452 | 0.9747 | 0.5826 | 0.9747 | 0.9873 |
| No log | 8.9020 | 454 | 0.9566 | 0.5946 | 0.9566 | 0.9780 |
| No log | 8.9412 | 456 | 0.9604 | 0.5946 | 0.9604 | 0.9800 |
| No log | 8.9804 | 458 | 0.9796 | 0.5848 | 0.9796 | 0.9898 |
| No log | 9.0196 | 460 | 0.9834 | 0.5848 | 0.9834 | 0.9917 |
| No log | 9.0588 | 462 | 1.0045 | 0.5869 | 1.0045 | 1.0023 |
| No log | 9.0980 | 464 | 1.0441 | 0.5490 | 1.0441 | 1.0218 |
| No log | 9.1373 | 466 | 1.0806 | 0.5481 | 1.0806 | 1.0395 |
| No log | 9.1765 | 468 | 1.0909 | 0.5506 | 1.0909 | 1.0445 |
| No log | 9.2157 | 470 | 1.0862 | 0.5481 | 1.0862 | 1.0422 |
| No log | 9.2549 | 472 | 1.0692 | 0.5481 | 1.0692 | 1.0340 |
| No log | 9.2941 | 474 | 1.0569 | 0.5481 | 1.0569 | 1.0280 |
| No log | 9.3333 | 476 | 1.0410 | 0.5612 | 1.0410 | 1.0203 |
| No log | 9.3725 | 478 | 1.0211 | 0.5779 | 1.0211 | 1.0105 |
| No log | 9.4118 | 480 | 1.0033 | 0.5869 | 1.0033 | 1.0017 |
| No log | 9.4510 | 482 | 0.9889 | 0.5869 | 0.9889 | 0.9944 |
| No log | 9.4902 | 484 | 0.9769 | 0.5848 | 0.9769 | 0.9884 |
| No log | 9.5294 | 486 | 0.9642 | 0.5893 | 0.9642 | 0.9820 |
| No log | 9.5686 | 488 | 0.9640 | 0.5893 | 0.9640 | 0.9818 |
| No log | 9.6078 | 490 | 0.9711 | 0.5848 | 0.9711 | 0.9854 |
| No log | 9.6471 | 492 | 0.9794 | 0.5848 | 0.9794 | 0.9897 |
| No log | 9.6863 | 494 | 0.9815 | 0.5848 | 0.9815 | 0.9907 |
| No log | 9.7255 | 496 | 0.9851 | 0.5848 | 0.9851 | 0.9925 |
| No log | 9.7647 | 498 | 0.9926 | 0.5848 | 0.9926 | 0.9963 |
| 0.3694 | 9.8039 | 500 | 1.0026 | 0.5869 | 1.0026 | 1.0013 |
| 0.3694 | 9.8431 | 502 | 1.0115 | 0.5869 | 1.0115 | 1.0057 |
| 0.3694 | 9.8824 | 504 | 1.0182 | 0.5869 | 1.0182 | 1.0091 |
| 0.3694 | 9.9216 | 506 | 1.0225 | 0.5869 | 1.0225 | 1.0112 |
| 0.3694 | 9.9608 | 508 | 1.0256 | 0.5869 | 1.0256 | 1.0127 |
| 0.3694 | 10.0 | 510 | 1.0271 | 0.5869 | 1.0271 | 1.0135 |
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/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task5_organization
Base model
aubmindlab/bert-base-arabertv02