Instructions to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_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_run1_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_run1_AugV5_k9_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k9_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k9_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_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: 0.8583
- Qwk: 0.6824
- Mse: 0.8583
- Rmse: 0.9265
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 | 5.0917 | 0.0007 | 5.0917 | 2.2565 |
| No log | 0.0784 | 4 | 3.1100 | 0.0688 | 3.1100 | 1.7635 |
| No log | 0.1176 | 6 | 1.8309 | 0.1058 | 1.8309 | 1.3531 |
| No log | 0.1569 | 8 | 1.4029 | 0.1267 | 1.4029 | 1.1844 |
| No log | 0.1961 | 10 | 1.5252 | 0.0414 | 1.5252 | 1.2350 |
| No log | 0.2353 | 12 | 1.5537 | -0.0027 | 1.5537 | 1.2465 |
| No log | 0.2745 | 14 | 1.5484 | 0.0251 | 1.5484 | 1.2443 |
| No log | 0.3137 | 16 | 1.2319 | 0.2729 | 1.2319 | 1.1099 |
| No log | 0.3529 | 18 | 1.3301 | 0.2510 | 1.3301 | 1.1533 |
| No log | 0.3922 | 20 | 1.3253 | 0.2087 | 1.3253 | 1.1512 |
| No log | 0.4314 | 22 | 1.2319 | 0.2450 | 1.2319 | 1.1099 |
| No log | 0.4706 | 24 | 1.0583 | 0.3585 | 1.0583 | 1.0287 |
| No log | 0.5098 | 26 | 1.1743 | 0.3430 | 1.1743 | 1.0837 |
| No log | 0.5490 | 28 | 1.8231 | 0.2589 | 1.8231 | 1.3502 |
| No log | 0.5882 | 30 | 1.8284 | 0.2689 | 1.8284 | 1.3522 |
| No log | 0.6275 | 32 | 1.1672 | 0.3512 | 1.1672 | 1.0804 |
| No log | 0.6667 | 34 | 1.0503 | 0.3505 | 1.0503 | 1.0249 |
| No log | 0.7059 | 36 | 1.0663 | 0.4274 | 1.0663 | 1.0326 |
| No log | 0.7451 | 38 | 1.0453 | 0.4483 | 1.0453 | 1.0224 |
| No log | 0.7843 | 40 | 1.0805 | 0.4477 | 1.0805 | 1.0395 |
| No log | 0.8235 | 42 | 1.1348 | 0.4339 | 1.1348 | 1.0653 |
| No log | 0.8627 | 44 | 0.9955 | 0.5348 | 0.9955 | 0.9977 |
| No log | 0.9020 | 46 | 0.8599 | 0.5795 | 0.8599 | 0.9273 |
| No log | 0.9412 | 48 | 0.9126 | 0.5652 | 0.9126 | 0.9553 |
| No log | 0.9804 | 50 | 0.9012 | 0.6078 | 0.9012 | 0.9493 |
| No log | 1.0196 | 52 | 1.2124 | 0.4529 | 1.2124 | 1.1011 |
| No log | 1.0588 | 54 | 1.8858 | 0.3318 | 1.8858 | 1.3732 |
| No log | 1.0980 | 56 | 1.6604 | 0.3502 | 1.6604 | 1.2886 |
| No log | 1.1373 | 58 | 1.0003 | 0.5270 | 1.0003 | 1.0002 |
| No log | 1.1765 | 60 | 0.8265 | 0.6118 | 0.8265 | 0.9091 |
| No log | 1.2157 | 62 | 0.9342 | 0.5008 | 0.9342 | 0.9665 |
| No log | 1.2549 | 64 | 0.8636 | 0.5247 | 0.8636 | 0.9293 |
| No log | 1.2941 | 66 | 0.8730 | 0.5742 | 0.8730 | 0.9343 |
| No log | 1.3333 | 68 | 0.9704 | 0.4992 | 0.9704 | 0.9851 |
| No log | 1.3725 | 70 | 1.0559 | 0.4601 | 1.0559 | 1.0276 |
| No log | 1.4118 | 72 | 0.9120 | 0.5566 | 0.9120 | 0.9550 |
| No log | 1.4510 | 74 | 0.8342 | 0.5803 | 0.8342 | 0.9133 |
| No log | 1.4902 | 76 | 0.8474 | 0.5560 | 0.8474 | 0.9206 |
| No log | 1.5294 | 78 | 0.8388 | 0.5452 | 0.8388 | 0.9159 |
| No log | 1.5686 | 80 | 0.9876 | 0.5055 | 0.9876 | 0.9938 |
| No log | 1.6078 | 82 | 1.0743 | 0.3826 | 1.0743 | 1.0365 |
| No log | 1.6471 | 84 | 0.9151 | 0.5125 | 0.9151 | 0.9566 |
| No log | 1.6863 | 86 | 0.7493 | 0.5738 | 0.7493 | 0.8656 |
| No log | 1.7255 | 88 | 1.0297 | 0.5611 | 1.0297 | 1.0147 |
| No log | 1.7647 | 90 | 1.2886 | 0.4717 | 1.2886 | 1.1352 |
| No log | 1.8039 | 92 | 1.1347 | 0.5104 | 1.1347 | 1.0652 |
| No log | 1.8431 | 94 | 0.8636 | 0.6432 | 0.8636 | 0.9293 |
| No log | 1.8824 | 96 | 0.7475 | 0.6770 | 0.7475 | 0.8646 |
| No log | 1.9216 | 98 | 0.7011 | 0.6953 | 0.7011 | 0.8373 |
| No log | 1.9608 | 100 | 0.6937 | 0.6869 | 0.6937 | 0.8329 |
| No log | 2.0 | 102 | 0.7833 | 0.7131 | 0.7833 | 0.8851 |
| No log | 2.0392 | 104 | 1.0371 | 0.6125 | 1.0371 | 1.0184 |
| No log | 2.0784 | 106 | 1.0035 | 0.6323 | 1.0035 | 1.0018 |
| No log | 2.1176 | 108 | 0.7605 | 0.7085 | 0.7605 | 0.8721 |
| No log | 2.1569 | 110 | 0.7299 | 0.6866 | 0.7299 | 0.8543 |
| No log | 2.1961 | 112 | 0.7251 | 0.6997 | 0.7251 | 0.8515 |
| No log | 2.2353 | 114 | 0.7022 | 0.7098 | 0.7022 | 0.8380 |
| No log | 2.2745 | 116 | 0.7327 | 0.7297 | 0.7327 | 0.8560 |
| No log | 2.3137 | 118 | 0.7536 | 0.7257 | 0.7536 | 0.8681 |
| No log | 2.3529 | 120 | 0.8327 | 0.7250 | 0.8327 | 0.9125 |
| No log | 2.3922 | 122 | 0.7928 | 0.7343 | 0.7928 | 0.8904 |
| No log | 2.4314 | 124 | 0.8750 | 0.7107 | 0.8750 | 0.9354 |
| No log | 2.4706 | 126 | 0.8282 | 0.7048 | 0.8282 | 0.9101 |
| No log | 2.5098 | 128 | 0.7620 | 0.7165 | 0.7620 | 0.8729 |
| No log | 2.5490 | 130 | 0.7450 | 0.6913 | 0.7450 | 0.8632 |
| No log | 2.5882 | 132 | 0.7370 | 0.6896 | 0.7370 | 0.8585 |
| No log | 2.6275 | 134 | 0.7590 | 0.6874 | 0.7590 | 0.8712 |
| No log | 2.6667 | 136 | 0.8945 | 0.7231 | 0.8945 | 0.9458 |
| No log | 2.7059 | 138 | 0.8905 | 0.7155 | 0.8905 | 0.9437 |
| No log | 2.7451 | 140 | 0.8210 | 0.7050 | 0.8210 | 0.9061 |
| No log | 2.7843 | 142 | 0.9764 | 0.6791 | 0.9764 | 0.9881 |
| No log | 2.8235 | 144 | 1.2901 | 0.5523 | 1.2901 | 1.1358 |
| No log | 2.8627 | 146 | 1.4947 | 0.5138 | 1.4947 | 1.2226 |
| No log | 2.9020 | 148 | 1.4422 | 0.4985 | 1.4422 | 1.2009 |
| No log | 2.9412 | 150 | 1.1533 | 0.5665 | 1.1533 | 1.0739 |
| No log | 2.9804 | 152 | 0.8090 | 0.6827 | 0.8090 | 0.8994 |
| No log | 3.0196 | 154 | 0.7197 | 0.7307 | 0.7197 | 0.8483 |
| No log | 3.0588 | 156 | 0.7321 | 0.7112 | 0.7321 | 0.8556 |
| No log | 3.0980 | 158 | 0.8620 | 0.7056 | 0.8620 | 0.9284 |
| No log | 3.1373 | 160 | 1.0380 | 0.6088 | 1.0380 | 1.0188 |
| No log | 3.1765 | 162 | 0.9644 | 0.6181 | 0.9644 | 0.9820 |
| No log | 3.2157 | 164 | 0.8246 | 0.6805 | 0.8246 | 0.9081 |
| No log | 3.2549 | 166 | 0.7121 | 0.7235 | 0.7121 | 0.8438 |
| No log | 3.2941 | 168 | 0.6583 | 0.6982 | 0.6583 | 0.8114 |
| No log | 3.3333 | 170 | 0.6910 | 0.7308 | 0.6910 | 0.8313 |
| No log | 3.3725 | 172 | 0.8929 | 0.6716 | 0.8929 | 0.9449 |
| No log | 3.4118 | 174 | 1.2064 | 0.5648 | 1.2064 | 1.0984 |
| No log | 3.4510 | 176 | 1.4416 | 0.5407 | 1.4416 | 1.2007 |
| No log | 3.4902 | 178 | 1.5152 | 0.5224 | 1.5152 | 1.2309 |
| No log | 3.5294 | 180 | 1.4530 | 0.5423 | 1.4530 | 1.2054 |
| No log | 3.5686 | 182 | 1.3006 | 0.5663 | 1.3006 | 1.1404 |
| No log | 3.6078 | 184 | 1.1013 | 0.6077 | 1.1013 | 1.0494 |
| No log | 3.6471 | 186 | 0.8819 | 0.6885 | 0.8819 | 0.9391 |
| No log | 3.6863 | 188 | 0.7231 | 0.7331 | 0.7231 | 0.8503 |
| No log | 3.7255 | 190 | 0.6924 | 0.7420 | 0.6924 | 0.8321 |
| No log | 3.7647 | 192 | 0.8209 | 0.6846 | 0.8209 | 0.9060 |
| No log | 3.8039 | 194 | 0.9864 | 0.6103 | 0.9864 | 0.9932 |
| No log | 3.8431 | 196 | 0.9761 | 0.6212 | 0.9761 | 0.9880 |
| No log | 3.8824 | 198 | 0.9319 | 0.6232 | 0.9319 | 0.9654 |
| No log | 3.9216 | 200 | 0.9263 | 0.6498 | 0.9263 | 0.9624 |
| No log | 3.9608 | 202 | 0.9744 | 0.5998 | 0.9744 | 0.9871 |
| No log | 4.0 | 204 | 1.0186 | 0.6005 | 1.0186 | 1.0093 |
| No log | 4.0392 | 206 | 1.0749 | 0.5943 | 1.0749 | 1.0368 |
| No log | 4.0784 | 208 | 1.1856 | 0.5884 | 1.1856 | 1.0889 |
| No log | 4.1176 | 210 | 1.0865 | 0.5931 | 1.0865 | 1.0424 |
| No log | 4.1569 | 212 | 0.9812 | 0.6495 | 0.9812 | 0.9906 |
| No log | 4.1961 | 214 | 0.9139 | 0.6393 | 0.9139 | 0.9560 |
| No log | 4.2353 | 216 | 0.8933 | 0.6321 | 0.8933 | 0.9452 |
| No log | 4.2745 | 218 | 0.8517 | 0.6505 | 0.8517 | 0.9229 |
| No log | 4.3137 | 220 | 0.8415 | 0.6501 | 0.8415 | 0.9173 |
| No log | 4.3529 | 222 | 0.7751 | 0.6656 | 0.7751 | 0.8804 |
| No log | 4.3922 | 224 | 0.7112 | 0.6652 | 0.7112 | 0.8433 |
| No log | 4.4314 | 226 | 0.7091 | 0.6187 | 0.7091 | 0.8421 |
| No log | 4.4706 | 228 | 0.6983 | 0.6663 | 0.6983 | 0.8356 |
| No log | 4.5098 | 230 | 0.6995 | 0.7348 | 0.6995 | 0.8364 |
| No log | 4.5490 | 232 | 0.8357 | 0.6760 | 0.8357 | 0.9142 |
| No log | 4.5882 | 234 | 1.0152 | 0.6269 | 1.0152 | 1.0076 |
| No log | 4.6275 | 236 | 1.0999 | 0.6046 | 1.0999 | 1.0488 |
| No log | 4.6667 | 238 | 1.1404 | 0.5829 | 1.1404 | 1.0679 |
| No log | 4.7059 | 240 | 1.1295 | 0.5911 | 1.1295 | 1.0628 |
| No log | 4.7451 | 242 | 1.0190 | 0.6059 | 1.0190 | 1.0095 |
| No log | 4.7843 | 244 | 0.9831 | 0.6220 | 0.9831 | 0.9915 |
| No log | 4.8235 | 246 | 0.8594 | 0.6795 | 0.8594 | 0.9270 |
| No log | 4.8627 | 248 | 0.8419 | 0.6899 | 0.8419 | 0.9176 |
| No log | 4.9020 | 250 | 0.8953 | 0.6826 | 0.8953 | 0.9462 |
| No log | 4.9412 | 252 | 0.8675 | 0.6826 | 0.8675 | 0.9314 |
| No log | 4.9804 | 254 | 0.8309 | 0.7044 | 0.8309 | 0.9115 |
| No log | 5.0196 | 256 | 0.8849 | 0.6797 | 0.8849 | 0.9407 |
| No log | 5.0588 | 258 | 0.8749 | 0.6832 | 0.8749 | 0.9354 |
| No log | 5.0980 | 260 | 0.7647 | 0.7067 | 0.7647 | 0.8745 |
| No log | 5.1373 | 262 | 0.6965 | 0.7460 | 0.6965 | 0.8345 |
| No log | 5.1765 | 264 | 0.6695 | 0.7259 | 0.6695 | 0.8182 |
| No log | 5.2157 | 266 | 0.7111 | 0.6903 | 0.7111 | 0.8433 |
| No log | 5.2549 | 268 | 0.8307 | 0.6667 | 0.8307 | 0.9114 |
| No log | 5.2941 | 270 | 0.9833 | 0.6304 | 0.9833 | 0.9916 |
| No log | 5.3333 | 272 | 0.9819 | 0.6378 | 0.9819 | 0.9909 |
| No log | 5.3725 | 274 | 0.8485 | 0.6753 | 0.8485 | 0.9212 |
| No log | 5.4118 | 276 | 0.7416 | 0.7060 | 0.7416 | 0.8612 |
| No log | 5.4510 | 278 | 0.7542 | 0.7015 | 0.7542 | 0.8684 |
| No log | 5.4902 | 280 | 0.8229 | 0.7087 | 0.8229 | 0.9071 |
| No log | 5.5294 | 282 | 1.0300 | 0.6429 | 1.0300 | 1.0149 |
| No log | 5.5686 | 284 | 1.2771 | 0.6030 | 1.2771 | 1.1301 |
| No log | 5.6078 | 286 | 1.3186 | 0.5913 | 1.3186 | 1.1483 |
| No log | 5.6471 | 288 | 1.1894 | 0.5636 | 1.1894 | 1.0906 |
| No log | 5.6863 | 290 | 0.9593 | 0.6473 | 0.9593 | 0.9794 |
| No log | 5.7255 | 292 | 0.8387 | 0.6726 | 0.8387 | 0.9158 |
| No log | 5.7647 | 294 | 0.7655 | 0.7066 | 0.7655 | 0.8750 |
| No log | 5.8039 | 296 | 0.7541 | 0.6971 | 0.7541 | 0.8684 |
| No log | 5.8431 | 298 | 0.8093 | 0.6921 | 0.8093 | 0.8996 |
| No log | 5.8824 | 300 | 0.9414 | 0.6344 | 0.9414 | 0.9702 |
| No log | 5.9216 | 302 | 1.0052 | 0.6158 | 1.0052 | 1.0026 |
| No log | 5.9608 | 304 | 0.9823 | 0.6221 | 0.9823 | 0.9911 |
| No log | 6.0 | 306 | 0.9568 | 0.6221 | 0.9568 | 0.9781 |
| No log | 6.0392 | 308 | 0.9009 | 0.6814 | 0.9009 | 0.9491 |
| No log | 6.0784 | 310 | 0.9234 | 0.6741 | 0.9234 | 0.9609 |
| No log | 6.1176 | 312 | 0.8873 | 0.6757 | 0.8873 | 0.9420 |
| No log | 6.1569 | 314 | 0.8746 | 0.6750 | 0.8746 | 0.9352 |
| No log | 6.1961 | 316 | 0.9264 | 0.6053 | 0.9264 | 0.9625 |
| No log | 6.2353 | 318 | 0.9693 | 0.6053 | 0.9693 | 0.9845 |
| No log | 6.2745 | 320 | 0.9514 | 0.6325 | 0.9514 | 0.9754 |
| No log | 6.3137 | 322 | 0.8576 | 0.6683 | 0.8576 | 0.9261 |
| No log | 6.3529 | 324 | 0.7604 | 0.7112 | 0.7604 | 0.8720 |
| No log | 6.3922 | 326 | 0.7340 | 0.7076 | 0.7340 | 0.8567 |
| No log | 6.4314 | 328 | 0.7547 | 0.6996 | 0.7547 | 0.8687 |
| No log | 6.4706 | 330 | 0.8300 | 0.6769 | 0.8300 | 0.9110 |
| No log | 6.5098 | 332 | 0.9099 | 0.6305 | 0.9099 | 0.9539 |
| No log | 6.5490 | 334 | 0.8916 | 0.6319 | 0.8916 | 0.9442 |
| No log | 6.5882 | 336 | 0.8098 | 0.6636 | 0.8098 | 0.8999 |
| No log | 6.6275 | 338 | 0.7875 | 0.6941 | 0.7875 | 0.8874 |
| No log | 6.6667 | 340 | 0.8143 | 0.6636 | 0.8143 | 0.9024 |
| No log | 6.7059 | 342 | 0.8408 | 0.6493 | 0.8408 | 0.9170 |
| No log | 6.7451 | 344 | 0.8657 | 0.6468 | 0.8657 | 0.9304 |
| No log | 6.7843 | 346 | 0.8861 | 0.6387 | 0.8861 | 0.9413 |
| No log | 6.8235 | 348 | 0.9366 | 0.6265 | 0.9366 | 0.9678 |
| No log | 6.8627 | 350 | 0.8998 | 0.6063 | 0.8998 | 0.9486 |
| No log | 6.9020 | 352 | 0.8169 | 0.6732 | 0.8169 | 0.9039 |
| No log | 6.9412 | 354 | 0.7301 | 0.7156 | 0.7301 | 0.8544 |
| No log | 6.9804 | 356 | 0.7153 | 0.6985 | 0.7153 | 0.8457 |
| No log | 7.0196 | 358 | 0.7225 | 0.7050 | 0.7225 | 0.8500 |
| No log | 7.0588 | 360 | 0.7732 | 0.6929 | 0.7732 | 0.8793 |
| No log | 7.0980 | 362 | 0.8603 | 0.6816 | 0.8603 | 0.9275 |
| No log | 7.1373 | 364 | 0.9284 | 0.6189 | 0.9284 | 0.9636 |
| No log | 7.1765 | 366 | 0.9319 | 0.6189 | 0.9319 | 0.9653 |
| No log | 7.2157 | 368 | 0.9300 | 0.6189 | 0.9300 | 0.9643 |
| No log | 7.2549 | 370 | 0.8746 | 0.6564 | 0.8746 | 0.9352 |
| No log | 7.2941 | 372 | 0.8479 | 0.6761 | 0.8479 | 0.9208 |
| No log | 7.3333 | 374 | 0.8677 | 0.6805 | 0.8677 | 0.9315 |
| No log | 7.3725 | 376 | 0.9060 | 0.6325 | 0.9060 | 0.9518 |
| No log | 7.4118 | 378 | 0.8766 | 0.6667 | 0.8766 | 0.9363 |
| No log | 7.4510 | 380 | 0.8598 | 0.6667 | 0.8598 | 0.9273 |
| No log | 7.4902 | 382 | 0.8694 | 0.6667 | 0.8694 | 0.9324 |
| No log | 7.5294 | 384 | 0.9047 | 0.6667 | 0.9047 | 0.9512 |
| No log | 7.5686 | 386 | 0.9484 | 0.6217 | 0.9484 | 0.9739 |
| No log | 7.6078 | 388 | 0.9431 | 0.6258 | 0.9431 | 0.9711 |
| No log | 7.6471 | 390 | 0.9659 | 0.6087 | 0.9659 | 0.9828 |
| No log | 7.6863 | 392 | 0.9776 | 0.6087 | 0.9776 | 0.9888 |
| No log | 7.7255 | 394 | 0.9520 | 0.6139 | 0.9520 | 0.9757 |
| No log | 7.7647 | 396 | 0.8866 | 0.6692 | 0.8866 | 0.9416 |
| No log | 7.8039 | 398 | 0.8307 | 0.7029 | 0.8307 | 0.9114 |
| No log | 7.8431 | 400 | 0.8143 | 0.7035 | 0.8143 | 0.9024 |
| No log | 7.8824 | 402 | 0.8472 | 0.7087 | 0.8472 | 0.9204 |
| No log | 7.9216 | 404 | 0.9269 | 0.6539 | 0.9269 | 0.9628 |
| No log | 7.9608 | 406 | 0.9704 | 0.6187 | 0.9704 | 0.9851 |
| No log | 8.0 | 408 | 0.9876 | 0.6155 | 0.9876 | 0.9938 |
| No log | 8.0392 | 410 | 0.9631 | 0.6164 | 0.9631 | 0.9814 |
| No log | 8.0784 | 412 | 0.9390 | 0.6386 | 0.9390 | 0.9690 |
| No log | 8.1176 | 414 | 0.9353 | 0.6386 | 0.9353 | 0.9671 |
| No log | 8.1569 | 416 | 0.8911 | 0.6728 | 0.8911 | 0.9440 |
| No log | 8.1961 | 418 | 0.8465 | 0.6718 | 0.8465 | 0.9200 |
| No log | 8.2353 | 420 | 0.8376 | 0.6718 | 0.8376 | 0.9152 |
| No log | 8.2745 | 422 | 0.8562 | 0.6780 | 0.8562 | 0.9253 |
| No log | 8.3137 | 424 | 0.8776 | 0.6824 | 0.8776 | 0.9368 |
| No log | 8.3529 | 426 | 0.8904 | 0.6824 | 0.8904 | 0.9436 |
| No log | 8.3922 | 428 | 0.9065 | 0.6634 | 0.9065 | 0.9521 |
| No log | 8.4314 | 430 | 0.9209 | 0.6634 | 0.9209 | 0.9597 |
| No log | 8.4706 | 432 | 0.9084 | 0.6634 | 0.9084 | 0.9531 |
| No log | 8.5098 | 434 | 0.8719 | 0.6824 | 0.8719 | 0.9337 |
| No log | 8.5490 | 436 | 0.8681 | 0.6788 | 0.8681 | 0.9317 |
| No log | 8.5882 | 438 | 0.8729 | 0.6788 | 0.8729 | 0.9343 |
| No log | 8.6275 | 440 | 0.8840 | 0.6634 | 0.8840 | 0.9402 |
| No log | 8.6667 | 442 | 0.8894 | 0.6634 | 0.8894 | 0.9431 |
| No log | 8.7059 | 444 | 0.8961 | 0.6634 | 0.8961 | 0.9466 |
| No log | 8.7451 | 446 | 0.9037 | 0.6634 | 0.9037 | 0.9506 |
| No log | 8.7843 | 448 | 0.9188 | 0.6618 | 0.9188 | 0.9585 |
| No log | 8.8235 | 450 | 0.9400 | 0.6526 | 0.9400 | 0.9695 |
| No log | 8.8627 | 452 | 0.9601 | 0.6358 | 0.9601 | 0.9798 |
| No log | 8.9020 | 454 | 0.9561 | 0.6496 | 0.9561 | 0.9778 |
| No log | 8.9412 | 456 | 0.9336 | 0.6526 | 0.9336 | 0.9662 |
| No log | 8.9804 | 458 | 0.8836 | 0.6634 | 0.8836 | 0.9400 |
| No log | 9.0196 | 460 | 0.8416 | 0.6762 | 0.8416 | 0.9174 |
| No log | 9.0588 | 462 | 0.8165 | 0.6664 | 0.8165 | 0.9036 |
| No log | 9.0980 | 464 | 0.7964 | 0.6681 | 0.7964 | 0.8924 |
| No log | 9.1373 | 466 | 0.7960 | 0.6681 | 0.7960 | 0.8922 |
| No log | 9.1765 | 468 | 0.8015 | 0.6681 | 0.8015 | 0.8953 |
| No log | 9.2157 | 470 | 0.8253 | 0.6700 | 0.8253 | 0.9084 |
| No log | 9.2549 | 472 | 0.8551 | 0.6728 | 0.8551 | 0.9247 |
| No log | 9.2941 | 474 | 0.8822 | 0.6728 | 0.8822 | 0.9392 |
| No log | 9.3333 | 476 | 0.8989 | 0.6728 | 0.8989 | 0.9481 |
| No log | 9.3725 | 478 | 0.9123 | 0.6499 | 0.9123 | 0.9551 |
| No log | 9.4118 | 480 | 0.9062 | 0.6728 | 0.9062 | 0.9519 |
| No log | 9.4510 | 482 | 0.8931 | 0.6728 | 0.8931 | 0.9450 |
| No log | 9.4902 | 484 | 0.8790 | 0.6728 | 0.8790 | 0.9375 |
| No log | 9.5294 | 486 | 0.8687 | 0.6728 | 0.8687 | 0.9320 |
| No log | 9.5686 | 488 | 0.8571 | 0.6824 | 0.8571 | 0.9258 |
| No log | 9.6078 | 490 | 0.8439 | 0.6824 | 0.8439 | 0.9187 |
| No log | 9.6471 | 492 | 0.8357 | 0.6824 | 0.8357 | 0.9142 |
| No log | 9.6863 | 494 | 0.8285 | 0.6824 | 0.8285 | 0.9102 |
| No log | 9.7255 | 496 | 0.8296 | 0.6824 | 0.8296 | 0.9108 |
| No log | 9.7647 | 498 | 0.8335 | 0.6824 | 0.8335 | 0.9129 |
| 0.4398 | 9.8039 | 500 | 0.8395 | 0.6824 | 0.8395 | 0.9163 |
| 0.4398 | 9.8431 | 502 | 0.8439 | 0.6824 | 0.8439 | 0.9186 |
| 0.4398 | 9.8824 | 504 | 0.8488 | 0.6824 | 0.8488 | 0.9213 |
| 0.4398 | 9.9216 | 506 | 0.8537 | 0.6824 | 0.8537 | 0.9240 |
| 0.4398 | 9.9608 | 508 | 0.8572 | 0.6824 | 0.8572 | 0.9258 |
| 0.4398 | 10.0 | 510 | 0.8583 | 0.6824 | 0.8583 | 0.9265 |
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_k9_task1_organization
Base model
aubmindlab/bert-base-arabertv02