Instructions to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k9_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k9_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k9_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k9_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k9_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_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: 0.9228
- Qwk: 0.6529
- Mse: 0.9228
- Rmse: 0.9606
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 | 5.2693 | 0.0100 | 5.2693 | 2.2955 |
| No log | 0.0784 | 4 | 2.9439 | 0.0858 | 2.9439 | 1.7158 |
| No log | 0.1176 | 6 | 1.6015 | 0.1299 | 1.6015 | 1.2655 |
| No log | 0.1569 | 8 | 1.3402 | 0.1972 | 1.3402 | 1.1577 |
| No log | 0.1961 | 10 | 1.2674 | 0.1344 | 1.2674 | 1.1258 |
| No log | 0.2353 | 12 | 1.2368 | 0.1788 | 1.2368 | 1.1121 |
| No log | 0.2745 | 14 | 1.2198 | 0.1301 | 1.2198 | 1.1045 |
| No log | 0.3137 | 16 | 1.2117 | 0.2010 | 1.2117 | 1.1008 |
| No log | 0.3529 | 18 | 1.2848 | 0.1116 | 1.2848 | 1.1335 |
| No log | 0.3922 | 20 | 1.4385 | -0.0261 | 1.4385 | 1.1994 |
| No log | 0.4314 | 22 | 1.4912 | -0.0038 | 1.4912 | 1.2211 |
| No log | 0.4706 | 24 | 1.5153 | 0.0956 | 1.5153 | 1.2310 |
| No log | 0.5098 | 26 | 1.3940 | 0.1372 | 1.3940 | 1.1807 |
| No log | 0.5490 | 28 | 1.2453 | 0.2210 | 1.2453 | 1.1159 |
| No log | 0.5882 | 30 | 1.1686 | 0.3183 | 1.1686 | 1.0810 |
| No log | 0.6275 | 32 | 1.0806 | 0.3798 | 1.0806 | 1.0395 |
| No log | 0.6667 | 34 | 1.0000 | 0.4493 | 1.0000 | 1.0000 |
| No log | 0.7059 | 36 | 0.9128 | 0.4106 | 0.9128 | 0.9554 |
| No log | 0.7451 | 38 | 1.1460 | 0.3367 | 1.1460 | 1.0705 |
| No log | 0.7843 | 40 | 1.5011 | 0.2309 | 1.5011 | 1.2252 |
| No log | 0.8235 | 42 | 1.5198 | 0.2537 | 1.5198 | 1.2328 |
| No log | 0.8627 | 44 | 1.4495 | 0.3116 | 1.4495 | 1.2039 |
| No log | 0.9020 | 46 | 1.1382 | 0.4279 | 1.1382 | 1.0669 |
| No log | 0.9412 | 48 | 0.8592 | 0.5260 | 0.8592 | 0.9269 |
| No log | 0.9804 | 50 | 0.7885 | 0.6066 | 0.7885 | 0.8880 |
| No log | 1.0196 | 52 | 0.7820 | 0.6193 | 0.7820 | 0.8843 |
| No log | 1.0588 | 54 | 0.7342 | 0.5875 | 0.7342 | 0.8569 |
| No log | 1.0980 | 56 | 0.9697 | 0.5092 | 0.9697 | 0.9847 |
| No log | 1.1373 | 58 | 1.2669 | 0.3551 | 1.2669 | 1.1255 |
| No log | 1.1765 | 60 | 1.2940 | 0.3664 | 1.2940 | 1.1375 |
| No log | 1.2157 | 62 | 1.1999 | 0.4598 | 1.1999 | 1.0954 |
| No log | 1.2549 | 64 | 0.9086 | 0.5335 | 0.9086 | 0.9532 |
| No log | 1.2941 | 66 | 0.7388 | 0.5898 | 0.7388 | 0.8595 |
| No log | 1.3333 | 68 | 0.7318 | 0.6141 | 0.7318 | 0.8554 |
| No log | 1.3725 | 70 | 0.7703 | 0.5932 | 0.7703 | 0.8777 |
| No log | 1.4118 | 72 | 0.7286 | 0.6016 | 0.7286 | 0.8536 |
| No log | 1.4510 | 74 | 0.7944 | 0.5644 | 0.7944 | 0.8913 |
| No log | 1.4902 | 76 | 0.8304 | 0.5419 | 0.8304 | 0.9113 |
| No log | 1.5294 | 78 | 0.7405 | 0.6186 | 0.7405 | 0.8605 |
| No log | 1.5686 | 80 | 0.7514 | 0.6408 | 0.7514 | 0.8669 |
| No log | 1.6078 | 82 | 0.7511 | 0.6518 | 0.7511 | 0.8666 |
| No log | 1.6471 | 84 | 0.7731 | 0.6886 | 0.7731 | 0.8792 |
| No log | 1.6863 | 86 | 0.7438 | 0.6739 | 0.7438 | 0.8625 |
| No log | 1.7255 | 88 | 0.7608 | 0.6774 | 0.7608 | 0.8723 |
| No log | 1.7647 | 90 | 0.8408 | 0.6552 | 0.8408 | 0.9170 |
| No log | 1.8039 | 92 | 0.9229 | 0.6399 | 0.9229 | 0.9607 |
| No log | 1.8431 | 94 | 0.9151 | 0.6164 | 0.9151 | 0.9566 |
| No log | 1.8824 | 96 | 0.8797 | 0.6178 | 0.8797 | 0.9379 |
| No log | 1.9216 | 98 | 0.8129 | 0.6514 | 0.8129 | 0.9016 |
| No log | 1.9608 | 100 | 0.8348 | 0.6239 | 0.8348 | 0.9137 |
| No log | 2.0 | 102 | 0.9788 | 0.5876 | 0.9788 | 0.9893 |
| No log | 2.0392 | 104 | 1.0137 | 0.5943 | 1.0137 | 1.0068 |
| No log | 2.0784 | 106 | 0.9798 | 0.5993 | 0.9798 | 0.9898 |
| No log | 2.1176 | 108 | 0.8424 | 0.6558 | 0.8424 | 0.9178 |
| No log | 2.1569 | 110 | 0.7634 | 0.6594 | 0.7634 | 0.8737 |
| No log | 2.1961 | 112 | 0.7508 | 0.6714 | 0.7508 | 0.8665 |
| No log | 2.2353 | 114 | 0.7227 | 0.6630 | 0.7227 | 0.8501 |
| No log | 2.2745 | 116 | 0.6990 | 0.6589 | 0.6990 | 0.8361 |
| No log | 2.3137 | 118 | 0.7550 | 0.6807 | 0.7550 | 0.8689 |
| No log | 2.3529 | 120 | 0.7538 | 0.6629 | 0.7538 | 0.8682 |
| No log | 2.3922 | 122 | 0.6780 | 0.6349 | 0.6780 | 0.8234 |
| No log | 2.4314 | 124 | 0.8196 | 0.6510 | 0.8196 | 0.9053 |
| No log | 2.4706 | 126 | 1.1450 | 0.5721 | 1.1450 | 1.0701 |
| No log | 2.5098 | 128 | 1.3869 | 0.5443 | 1.3869 | 1.1777 |
| No log | 2.5490 | 130 | 1.3949 | 0.5347 | 1.3949 | 1.1811 |
| No log | 2.5882 | 132 | 1.1857 | 0.5634 | 1.1857 | 1.0889 |
| No log | 2.6275 | 134 | 0.9737 | 0.6376 | 0.9737 | 0.9867 |
| No log | 2.6667 | 136 | 0.7542 | 0.7242 | 0.7542 | 0.8684 |
| No log | 2.7059 | 138 | 0.7308 | 0.6845 | 0.7308 | 0.8549 |
| No log | 2.7451 | 140 | 0.7702 | 0.6784 | 0.7702 | 0.8776 |
| No log | 2.7843 | 142 | 0.7625 | 0.6870 | 0.7625 | 0.8732 |
| No log | 2.8235 | 144 | 0.8198 | 0.6741 | 0.8198 | 0.9054 |
| No log | 2.8627 | 146 | 0.8548 | 0.6729 | 0.8548 | 0.9245 |
| No log | 2.9020 | 148 | 1.0149 | 0.6083 | 1.0149 | 1.0074 |
| No log | 2.9412 | 150 | 1.0122 | 0.6136 | 1.0122 | 1.0061 |
| No log | 2.9804 | 152 | 0.8276 | 0.6583 | 0.8276 | 0.9097 |
| No log | 3.0196 | 154 | 0.7144 | 0.6982 | 0.7144 | 0.8452 |
| No log | 3.0588 | 156 | 0.7279 | 0.7240 | 0.7279 | 0.8531 |
| No log | 3.0980 | 158 | 0.8148 | 0.6879 | 0.8148 | 0.9027 |
| No log | 3.1373 | 160 | 0.8606 | 0.6560 | 0.8606 | 0.9277 |
| No log | 3.1765 | 162 | 0.9378 | 0.6588 | 0.9378 | 0.9684 |
| No log | 3.2157 | 164 | 0.8376 | 0.6991 | 0.8376 | 0.9152 |
| No log | 3.2549 | 166 | 0.6630 | 0.6786 | 0.6630 | 0.8143 |
| No log | 3.2941 | 168 | 0.7146 | 0.7017 | 0.7146 | 0.8454 |
| No log | 3.3333 | 170 | 0.8197 | 0.6853 | 0.8197 | 0.9054 |
| No log | 3.3725 | 172 | 0.6690 | 0.6848 | 0.6690 | 0.8179 |
| No log | 3.4118 | 174 | 0.6983 | 0.7057 | 0.6983 | 0.8356 |
| No log | 3.4510 | 176 | 1.0291 | 0.6190 | 1.0291 | 1.0144 |
| No log | 3.4902 | 178 | 1.2818 | 0.5849 | 1.2818 | 1.1322 |
| No log | 3.5294 | 180 | 1.1877 | 0.5503 | 1.1877 | 1.0898 |
| No log | 3.5686 | 182 | 1.0240 | 0.5845 | 1.0240 | 1.0119 |
| No log | 3.6078 | 184 | 0.9082 | 0.6072 | 0.9082 | 0.9530 |
| No log | 3.6471 | 186 | 0.8273 | 0.6361 | 0.8273 | 0.9096 |
| No log | 3.6863 | 188 | 0.8197 | 0.6623 | 0.8197 | 0.9054 |
| No log | 3.7255 | 190 | 0.7524 | 0.6965 | 0.7524 | 0.8674 |
| No log | 3.7647 | 192 | 0.6512 | 0.6782 | 0.6512 | 0.8070 |
| No log | 3.8039 | 194 | 0.6627 | 0.6797 | 0.6627 | 0.8141 |
| No log | 3.8431 | 196 | 0.7710 | 0.6478 | 0.7710 | 0.8781 |
| No log | 3.8824 | 198 | 0.8531 | 0.6184 | 0.8531 | 0.9236 |
| No log | 3.9216 | 200 | 0.7336 | 0.6505 | 0.7336 | 0.8565 |
| No log | 3.9608 | 202 | 0.6178 | 0.6912 | 0.6178 | 0.7860 |
| No log | 4.0 | 204 | 0.8398 | 0.6779 | 0.8398 | 0.9164 |
| No log | 4.0392 | 206 | 1.4327 | 0.5546 | 1.4327 | 1.1969 |
| No log | 4.0784 | 208 | 1.9892 | 0.4953 | 1.9892 | 1.4104 |
| No log | 4.1176 | 210 | 2.1176 | 0.4808 | 2.1176 | 1.4552 |
| No log | 4.1569 | 212 | 1.8336 | 0.4625 | 1.8336 | 1.3541 |
| No log | 4.1961 | 214 | 1.3249 | 0.5146 | 1.3249 | 1.1511 |
| No log | 4.2353 | 216 | 1.0512 | 0.5929 | 1.0512 | 1.0253 |
| No log | 4.2745 | 218 | 0.9933 | 0.5923 | 0.9933 | 0.9967 |
| No log | 4.3137 | 220 | 1.0261 | 0.6192 | 1.0261 | 1.0130 |
| No log | 4.3529 | 222 | 1.0048 | 0.6306 | 1.0048 | 1.0024 |
| No log | 4.3922 | 224 | 0.8898 | 0.6782 | 0.8898 | 0.9433 |
| No log | 4.4314 | 226 | 0.8215 | 0.6759 | 0.8215 | 0.9064 |
| No log | 4.4706 | 228 | 0.7246 | 0.6967 | 0.7246 | 0.8513 |
| No log | 4.5098 | 230 | 0.6656 | 0.7261 | 0.6656 | 0.8158 |
| No log | 4.5490 | 232 | 0.6558 | 0.7008 | 0.6558 | 0.8098 |
| No log | 4.5882 | 234 | 0.6558 | 0.6815 | 0.6558 | 0.8098 |
| No log | 4.6275 | 236 | 0.6594 | 0.7124 | 0.6594 | 0.8120 |
| No log | 4.6667 | 238 | 0.7783 | 0.6730 | 0.7783 | 0.8822 |
| No log | 4.7059 | 240 | 0.9603 | 0.6585 | 0.9603 | 0.9800 |
| No log | 4.7451 | 242 | 0.9779 | 0.6350 | 0.9779 | 0.9889 |
| No log | 4.7843 | 244 | 0.8680 | 0.6289 | 0.8680 | 0.9317 |
| No log | 4.8235 | 246 | 0.7684 | 0.6753 | 0.7684 | 0.8766 |
| No log | 4.8627 | 248 | 0.7072 | 0.6656 | 0.7072 | 0.8410 |
| No log | 4.9020 | 250 | 0.7045 | 0.6656 | 0.7045 | 0.8394 |
| No log | 4.9412 | 252 | 0.7376 | 0.6795 | 0.7376 | 0.8589 |
| No log | 4.9804 | 254 | 0.7966 | 0.6554 | 0.7966 | 0.8925 |
| No log | 5.0196 | 256 | 0.8817 | 0.6543 | 0.8817 | 0.9390 |
| No log | 5.0588 | 258 | 0.8869 | 0.6490 | 0.8869 | 0.9417 |
| No log | 5.0980 | 260 | 0.8334 | 0.6426 | 0.8334 | 0.9129 |
| No log | 5.1373 | 262 | 0.7460 | 0.6808 | 0.7460 | 0.8637 |
| No log | 5.1765 | 264 | 0.7023 | 0.6970 | 0.7023 | 0.8381 |
| No log | 5.2157 | 266 | 0.6911 | 0.7019 | 0.6911 | 0.8313 |
| No log | 5.2549 | 268 | 0.6996 | 0.6826 | 0.6996 | 0.8364 |
| No log | 5.2941 | 270 | 0.7513 | 0.6772 | 0.7513 | 0.8668 |
| No log | 5.3333 | 272 | 0.8148 | 0.6420 | 0.8148 | 0.9027 |
| No log | 5.3725 | 274 | 0.9292 | 0.5880 | 0.9292 | 0.9639 |
| No log | 5.4118 | 276 | 1.1175 | 0.5552 | 1.1175 | 1.0571 |
| No log | 5.4510 | 278 | 1.2331 | 0.5435 | 1.2331 | 1.1104 |
| No log | 5.4902 | 280 | 1.2875 | 0.5356 | 1.2875 | 1.1347 |
| No log | 5.5294 | 282 | 1.2489 | 0.5484 | 1.2489 | 1.1175 |
| No log | 5.5686 | 284 | 1.1186 | 0.5433 | 1.1186 | 1.0576 |
| No log | 5.6078 | 286 | 0.9907 | 0.5897 | 0.9907 | 0.9953 |
| No log | 5.6471 | 288 | 0.9550 | 0.6016 | 0.9550 | 0.9772 |
| No log | 5.6863 | 290 | 1.0078 | 0.5861 | 1.0078 | 1.0039 |
| No log | 5.7255 | 292 | 1.0688 | 0.5604 | 1.0688 | 1.0338 |
| No log | 5.7647 | 294 | 1.1604 | 0.5688 | 1.1604 | 1.0772 |
| No log | 5.8039 | 296 | 1.1540 | 0.5781 | 1.1540 | 1.0742 |
| No log | 5.8431 | 298 | 1.0838 | 0.6091 | 1.0838 | 1.0411 |
| No log | 5.8824 | 300 | 0.9469 | 0.6517 | 0.9469 | 0.9731 |
| No log | 5.9216 | 302 | 0.8553 | 0.6775 | 0.8553 | 0.9248 |
| No log | 5.9608 | 304 | 0.8057 | 0.6720 | 0.8057 | 0.8976 |
| No log | 6.0 | 306 | 0.8043 | 0.6720 | 0.8043 | 0.8968 |
| No log | 6.0392 | 308 | 0.8368 | 0.6775 | 0.8368 | 0.9148 |
| No log | 6.0784 | 310 | 0.8971 | 0.6693 | 0.8971 | 0.9471 |
| No log | 6.1176 | 312 | 0.9305 | 0.6371 | 0.9305 | 0.9646 |
| No log | 6.1569 | 314 | 0.9967 | 0.6059 | 0.9967 | 0.9983 |
| No log | 6.1961 | 316 | 0.9577 | 0.6100 | 0.9577 | 0.9786 |
| No log | 6.2353 | 318 | 0.8445 | 0.6494 | 0.8445 | 0.9190 |
| No log | 6.2745 | 320 | 0.7803 | 0.7018 | 0.7803 | 0.8834 |
| No log | 6.3137 | 322 | 0.7467 | 0.6837 | 0.7467 | 0.8641 |
| No log | 6.3529 | 324 | 0.7468 | 0.6857 | 0.7468 | 0.8642 |
| No log | 6.3922 | 326 | 0.7858 | 0.7014 | 0.7858 | 0.8865 |
| No log | 6.4314 | 328 | 0.8388 | 0.6608 | 0.8388 | 0.9159 |
| No log | 6.4706 | 330 | 0.9374 | 0.6243 | 0.9374 | 0.9682 |
| No log | 6.5098 | 332 | 1.0642 | 0.6195 | 1.0642 | 1.0316 |
| No log | 6.5490 | 334 | 1.2071 | 0.5907 | 1.2071 | 1.0987 |
| No log | 6.5882 | 336 | 1.2619 | 0.5850 | 1.2619 | 1.1233 |
| No log | 6.6275 | 338 | 1.2154 | 0.6006 | 1.2154 | 1.1024 |
| No log | 6.6667 | 340 | 1.1265 | 0.6332 | 1.1265 | 1.0613 |
| No log | 6.7059 | 342 | 1.0255 | 0.6534 | 1.0255 | 1.0127 |
| No log | 6.7451 | 344 | 0.9201 | 0.6621 | 0.9201 | 0.9592 |
| No log | 6.7843 | 346 | 0.8707 | 0.6633 | 0.8707 | 0.9331 |
| No log | 6.8235 | 348 | 0.8630 | 0.6682 | 0.8630 | 0.9290 |
| No log | 6.8627 | 350 | 0.8606 | 0.6599 | 0.8606 | 0.9277 |
| No log | 6.9020 | 352 | 0.9055 | 0.6452 | 0.9055 | 0.9516 |
| No log | 6.9412 | 354 | 0.9699 | 0.6187 | 0.9699 | 0.9848 |
| No log | 6.9804 | 356 | 1.0379 | 0.6094 | 1.0379 | 1.0188 |
| No log | 7.0196 | 358 | 1.0362 | 0.6224 | 1.0362 | 1.0179 |
| No log | 7.0588 | 360 | 1.0019 | 0.6274 | 1.0019 | 1.0010 |
| No log | 7.0980 | 362 | 1.0123 | 0.6288 | 1.0123 | 1.0061 |
| No log | 7.1373 | 364 | 1.0710 | 0.6264 | 1.0710 | 1.0349 |
| No log | 7.1765 | 366 | 1.1258 | 0.6052 | 1.1258 | 1.0610 |
| No log | 7.2157 | 368 | 1.1234 | 0.5986 | 1.1234 | 1.0599 |
| No log | 7.2549 | 370 | 1.1245 | 0.5986 | 1.1245 | 1.0604 |
| No log | 7.2941 | 372 | 1.0579 | 0.6106 | 1.0579 | 1.0286 |
| No log | 7.3333 | 374 | 1.0211 | 0.6210 | 1.0211 | 1.0105 |
| No log | 7.3725 | 376 | 1.0396 | 0.6019 | 1.0396 | 1.0196 |
| No log | 7.4118 | 378 | 1.0740 | 0.5898 | 1.0740 | 1.0363 |
| No log | 7.4510 | 380 | 1.0993 | 0.5788 | 1.0993 | 1.0485 |
| No log | 7.4902 | 382 | 1.0765 | 0.5788 | 1.0765 | 1.0375 |
| No log | 7.5294 | 384 | 1.0532 | 0.5788 | 1.0532 | 1.0262 |
| No log | 7.5686 | 386 | 1.0578 | 0.5908 | 1.0578 | 1.0285 |
| No log | 7.6078 | 388 | 1.0392 | 0.6 | 1.0392 | 1.0194 |
| No log | 7.6471 | 390 | 1.0196 | 0.6117 | 1.0196 | 1.0098 |
| No log | 7.6863 | 392 | 0.9685 | 0.6180 | 0.9685 | 0.9841 |
| No log | 7.7255 | 394 | 0.9299 | 0.6508 | 0.9299 | 0.9643 |
| No log | 7.7647 | 396 | 0.9020 | 0.6583 | 0.9020 | 0.9497 |
| No log | 7.8039 | 398 | 0.8722 | 0.6638 | 0.8722 | 0.9339 |
| No log | 7.8431 | 400 | 0.8544 | 0.6830 | 0.8544 | 0.9244 |
| No log | 7.8824 | 402 | 0.8758 | 0.6678 | 0.8758 | 0.9358 |
| No log | 7.9216 | 404 | 0.9001 | 0.6710 | 0.9001 | 0.9487 |
| No log | 7.9608 | 406 | 0.9092 | 0.6732 | 0.9092 | 0.9535 |
| No log | 8.0 | 408 | 0.9076 | 0.6645 | 0.9076 | 0.9527 |
| No log | 8.0392 | 410 | 0.8698 | 0.6642 | 0.8698 | 0.9326 |
| No log | 8.0784 | 412 | 0.8462 | 0.6682 | 0.8462 | 0.9199 |
| No log | 8.1176 | 414 | 0.8456 | 0.6642 | 0.8456 | 0.9196 |
| No log | 8.1569 | 416 | 0.8415 | 0.6558 | 0.8415 | 0.9173 |
| No log | 8.1961 | 418 | 0.8539 | 0.6558 | 0.8539 | 0.9241 |
| No log | 8.2353 | 420 | 0.8506 | 0.6566 | 0.8506 | 0.9223 |
| No log | 8.2745 | 422 | 0.8456 | 0.6566 | 0.8456 | 0.9196 |
| No log | 8.3137 | 424 | 0.8747 | 0.6638 | 0.8747 | 0.9353 |
| No log | 8.3529 | 426 | 0.8862 | 0.6623 | 0.8862 | 0.9414 |
| No log | 8.3922 | 428 | 0.8922 | 0.6593 | 0.8922 | 0.9445 |
| No log | 8.4314 | 430 | 0.9187 | 0.6554 | 0.9187 | 0.9585 |
| No log | 8.4706 | 432 | 0.9171 | 0.6611 | 0.9171 | 0.9576 |
| No log | 8.5098 | 434 | 0.9042 | 0.6688 | 0.9042 | 0.9509 |
| No log | 8.5490 | 436 | 0.8864 | 0.6665 | 0.8864 | 0.9415 |
| No log | 8.5882 | 438 | 0.8769 | 0.6689 | 0.8769 | 0.9364 |
| No log | 8.6275 | 440 | 0.8738 | 0.6576 | 0.8738 | 0.9348 |
| No log | 8.6667 | 442 | 0.8877 | 0.6562 | 0.8877 | 0.9422 |
| No log | 8.7059 | 444 | 0.9118 | 0.6497 | 0.9118 | 0.9549 |
| No log | 8.7451 | 446 | 0.9427 | 0.6580 | 0.9427 | 0.9709 |
| No log | 8.7843 | 448 | 0.9833 | 0.6369 | 0.9833 | 0.9916 |
| No log | 8.8235 | 450 | 1.0097 | 0.6369 | 1.0097 | 1.0048 |
| No log | 8.8627 | 452 | 1.0437 | 0.6292 | 1.0437 | 1.0216 |
| No log | 8.9020 | 454 | 1.0620 | 0.6210 | 1.0620 | 1.0305 |
| No log | 8.9412 | 456 | 1.0682 | 0.6210 | 1.0682 | 1.0335 |
| No log | 8.9804 | 458 | 1.0616 | 0.6210 | 1.0616 | 1.0303 |
| No log | 9.0196 | 460 | 1.0426 | 0.6369 | 1.0426 | 1.0211 |
| No log | 9.0588 | 462 | 1.0109 | 0.6407 | 1.0109 | 1.0054 |
| No log | 9.0980 | 464 | 0.9954 | 0.6420 | 0.9954 | 0.9977 |
| No log | 9.1373 | 466 | 0.9770 | 0.6420 | 0.9770 | 0.9884 |
| No log | 9.1765 | 468 | 0.9634 | 0.6420 | 0.9634 | 0.9815 |
| No log | 9.2157 | 470 | 0.9516 | 0.6504 | 0.9516 | 0.9755 |
| No log | 9.2549 | 472 | 0.9474 | 0.6447 | 0.9474 | 0.9734 |
| No log | 9.2941 | 474 | 0.9604 | 0.6447 | 0.9604 | 0.9800 |
| No log | 9.3333 | 476 | 0.9693 | 0.6363 | 0.9693 | 0.9845 |
| No log | 9.3725 | 478 | 0.9737 | 0.6324 | 0.9737 | 0.9868 |
| No log | 9.4118 | 480 | 0.9721 | 0.6311 | 0.9721 | 0.9860 |
| No log | 9.4510 | 482 | 0.9672 | 0.6396 | 0.9672 | 0.9835 |
| No log | 9.4902 | 484 | 0.9645 | 0.6396 | 0.9645 | 0.9821 |
| No log | 9.5294 | 486 | 0.9608 | 0.6436 | 0.9608 | 0.9802 |
| No log | 9.5686 | 488 | 0.9504 | 0.6500 | 0.9504 | 0.9749 |
| No log | 9.6078 | 490 | 0.9343 | 0.6417 | 0.9343 | 0.9666 |
| No log | 9.6471 | 492 | 0.9210 | 0.6529 | 0.9210 | 0.9597 |
| No log | 9.6863 | 494 | 0.9110 | 0.6529 | 0.9110 | 0.9545 |
| No log | 9.7255 | 496 | 0.9083 | 0.6529 | 0.9083 | 0.9531 |
| No log | 9.7647 | 498 | 0.9113 | 0.6529 | 0.9113 | 0.9546 |
| 0.456 | 9.8039 | 500 | 0.9143 | 0.6529 | 0.9143 | 0.9562 |
| 0.456 | 9.8431 | 502 | 0.9162 | 0.6529 | 0.9162 | 0.9572 |
| 0.456 | 9.8824 | 504 | 0.9186 | 0.6529 | 0.9186 | 0.9584 |
| 0.456 | 9.9216 | 506 | 0.9200 | 0.6529 | 0.9200 | 0.9592 |
| 0.456 | 9.9608 | 508 | 0.9221 | 0.6529 | 0.9221 | 0.9602 |
| 0.456 | 10.0 | 510 | 0.9228 | 0.6529 | 0.9228 | 0.9606 |
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_run3_AugV5_k9_task1_organization
Base model
aubmindlab/bert-base-arabertv02