Instructions to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_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: 0.7619
- Qwk: 0.7407
- Mse: 0.7619
- Rmse: 0.8729
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 | 0.0392 | 2 | 6.9340 | 0.0057 | 6.9340 | 2.6333 |
| No log | 0.0784 | 4 | 4.5895 | 0.0750 | 4.5895 | 2.1423 |
| No log | 0.1176 | 6 | 3.5929 | -0.0312 | 3.5929 | 1.8955 |
| No log | 0.1569 | 8 | 4.6897 | -0.0606 | 4.6897 | 2.1656 |
| No log | 0.1961 | 10 | 3.1500 | 0.0235 | 3.1500 | 1.7748 |
| No log | 0.2353 | 12 | 2.0196 | 0.0960 | 2.0196 | 1.4211 |
| No log | 0.2745 | 14 | 1.9195 | 0.1667 | 1.9195 | 1.3855 |
| No log | 0.3137 | 16 | 2.0058 | 0.1239 | 2.0058 | 1.4163 |
| No log | 0.3529 | 18 | 2.1753 | 0.0635 | 2.1753 | 1.4749 |
| No log | 0.3922 | 20 | 2.0040 | 0.2564 | 2.0040 | 1.4156 |
| No log | 0.4314 | 22 | 1.9285 | 0.2344 | 1.9285 | 1.3887 |
| No log | 0.4706 | 24 | 2.5131 | 0.1088 | 2.5131 | 1.5853 |
| No log | 0.5098 | 26 | 2.8318 | 0.0261 | 2.8318 | 1.6828 |
| No log | 0.5490 | 28 | 2.7574 | 0.0261 | 2.7574 | 1.6605 |
| No log | 0.5882 | 30 | 2.3727 | 0.0526 | 2.3727 | 1.5404 |
| No log | 0.6275 | 32 | 2.0616 | 0.2190 | 2.0616 | 1.4358 |
| No log | 0.6667 | 34 | 1.9105 | 0.3465 | 1.9105 | 1.3822 |
| No log | 0.7059 | 36 | 1.9261 | 0.3206 | 1.9261 | 1.3878 |
| No log | 0.7451 | 38 | 2.0386 | 0.2647 | 2.0386 | 1.4278 |
| No log | 0.7843 | 40 | 2.2756 | 0.1418 | 2.2756 | 1.5085 |
| No log | 0.8235 | 42 | 2.9630 | 0.1486 | 2.9630 | 1.7213 |
| No log | 0.8627 | 44 | 3.7800 | 0.1357 | 3.7800 | 1.9442 |
| No log | 0.9020 | 46 | 3.6021 | 0.1284 | 3.6021 | 1.8979 |
| No log | 0.9412 | 48 | 3.1285 | 0.1297 | 3.1285 | 1.7688 |
| No log | 0.9804 | 50 | 2.3889 | 0.1408 | 2.3889 | 1.5456 |
| No log | 1.0196 | 52 | 1.9361 | 0.2748 | 1.9361 | 1.3914 |
| No log | 1.0588 | 54 | 1.7292 | 0.2992 | 1.7292 | 1.3150 |
| No log | 1.0980 | 56 | 1.5489 | 0.3651 | 1.5489 | 1.2446 |
| No log | 1.1373 | 58 | 1.6571 | 0.3594 | 1.6571 | 1.2873 |
| No log | 1.1765 | 60 | 1.9108 | 0.3034 | 1.9108 | 1.3823 |
| No log | 1.2157 | 62 | 2.4930 | 0.25 | 2.4930 | 1.5789 |
| No log | 1.2549 | 64 | 2.5507 | 0.2456 | 2.5507 | 1.5971 |
| No log | 1.2941 | 66 | 1.9801 | 0.3046 | 1.9801 | 1.4072 |
| No log | 1.3333 | 68 | 1.6324 | 0.4143 | 1.6324 | 1.2777 |
| No log | 1.3725 | 70 | 1.6607 | 0.4082 | 1.6607 | 1.2887 |
| No log | 1.4118 | 72 | 1.8095 | 0.3784 | 1.8095 | 1.3452 |
| No log | 1.4510 | 74 | 2.1806 | 0.3152 | 2.1806 | 1.4767 |
| No log | 1.4902 | 76 | 2.2759 | 0.2754 | 2.2759 | 1.5086 |
| No log | 1.5294 | 78 | 2.2019 | 0.3012 | 2.2019 | 1.4839 |
| No log | 1.5686 | 80 | 2.1223 | 0.3230 | 2.1223 | 1.4568 |
| No log | 1.6078 | 82 | 2.0171 | 0.3247 | 2.0171 | 1.4203 |
| No log | 1.6471 | 84 | 1.7472 | 0.3803 | 1.7472 | 1.3218 |
| No log | 1.6863 | 86 | 1.4861 | 0.4412 | 1.4861 | 1.2190 |
| No log | 1.7255 | 88 | 1.4473 | 0.4394 | 1.4473 | 1.2030 |
| No log | 1.7647 | 90 | 1.4619 | 0.4823 | 1.4619 | 1.2091 |
| No log | 1.8039 | 92 | 1.4115 | 0.4730 | 1.4115 | 1.1881 |
| No log | 1.8431 | 94 | 1.3775 | 0.5385 | 1.3775 | 1.1737 |
| No log | 1.8824 | 96 | 1.2716 | 0.5139 | 1.2716 | 1.1276 |
| No log | 1.9216 | 98 | 1.1952 | 0.5379 | 1.1952 | 1.0932 |
| No log | 1.9608 | 100 | 1.2265 | 0.5733 | 1.2265 | 1.1075 |
| No log | 2.0 | 102 | 1.1200 | 0.5931 | 1.1200 | 1.0583 |
| No log | 2.0392 | 104 | 1.0808 | 0.5693 | 1.0808 | 1.0396 |
| No log | 2.0784 | 106 | 1.3602 | 0.4427 | 1.3602 | 1.1663 |
| No log | 2.1176 | 108 | 1.6823 | 0.2879 | 1.6823 | 1.2970 |
| No log | 2.1569 | 110 | 1.9582 | 0.2239 | 1.9582 | 1.3994 |
| No log | 2.1961 | 112 | 1.4181 | 0.4 | 1.4181 | 1.1908 |
| No log | 2.2353 | 114 | 1.0878 | 0.6294 | 1.0878 | 1.0430 |
| No log | 2.2745 | 116 | 1.0453 | 0.6345 | 1.0453 | 1.0224 |
| No log | 2.3137 | 118 | 1.1158 | 0.5985 | 1.1158 | 1.0563 |
| No log | 2.3529 | 120 | 1.2274 | 0.5036 | 1.2274 | 1.1079 |
| No log | 2.3922 | 122 | 1.4885 | 0.5517 | 1.4885 | 1.2201 |
| No log | 2.4314 | 124 | 3.0191 | 0.2896 | 3.0191 | 1.7375 |
| No log | 2.4706 | 126 | 3.8571 | 0.1992 | 3.8571 | 1.9639 |
| No log | 2.5098 | 128 | 3.3230 | 0.2183 | 3.3230 | 1.8229 |
| No log | 2.5490 | 130 | 2.0842 | 0.3529 | 2.0842 | 1.4437 |
| No log | 2.5882 | 132 | 1.0844 | 0.6056 | 1.0844 | 1.0414 |
| No log | 2.6275 | 134 | 0.8730 | 0.6667 | 0.8730 | 0.9344 |
| No log | 2.6667 | 136 | 0.9000 | 0.6619 | 0.9000 | 0.9487 |
| No log | 2.7059 | 138 | 0.9598 | 0.6525 | 0.9598 | 0.9797 |
| No log | 2.7451 | 140 | 1.1481 | 0.6211 | 1.1481 | 1.0715 |
| No log | 2.7843 | 142 | 1.3997 | 0.5402 | 1.3997 | 1.1831 |
| No log | 2.8235 | 144 | 1.5097 | 0.4596 | 1.5097 | 1.2287 |
| No log | 2.8627 | 146 | 1.5891 | 0.5096 | 1.5891 | 1.2606 |
| No log | 2.9020 | 148 | 1.4827 | 0.4698 | 1.4827 | 1.2177 |
| No log | 2.9412 | 150 | 1.0985 | 0.6087 | 1.0985 | 1.0481 |
| No log | 2.9804 | 152 | 0.8988 | 0.5882 | 0.8988 | 0.9481 |
| No log | 3.0196 | 154 | 0.9558 | 0.5735 | 0.9558 | 0.9776 |
| No log | 3.0588 | 156 | 0.8832 | 0.5985 | 0.8832 | 0.9398 |
| No log | 3.0980 | 158 | 0.7654 | 0.7552 | 0.7654 | 0.8749 |
| No log | 3.1373 | 160 | 0.7935 | 0.6377 | 0.7935 | 0.8908 |
| No log | 3.1765 | 162 | 0.8139 | 0.6571 | 0.8139 | 0.9022 |
| No log | 3.2157 | 164 | 0.8474 | 0.6667 | 0.8474 | 0.9205 |
| No log | 3.2549 | 166 | 0.9398 | 0.6974 | 0.9398 | 0.9694 |
| No log | 3.2941 | 168 | 1.1052 | 0.6135 | 1.1052 | 1.0513 |
| No log | 3.3333 | 170 | 1.2717 | 0.5814 | 1.2717 | 1.1277 |
| No log | 3.3725 | 172 | 1.3972 | 0.5486 | 1.3972 | 1.1821 |
| No log | 3.4118 | 174 | 1.4673 | 0.5549 | 1.4673 | 1.2113 |
| No log | 3.4510 | 176 | 1.6230 | 0.5587 | 1.6230 | 1.2740 |
| No log | 3.4902 | 178 | 1.9373 | 0.5078 | 1.9373 | 1.3919 |
| No log | 3.5294 | 180 | 1.6995 | 0.5484 | 1.6995 | 1.3036 |
| No log | 3.5686 | 182 | 1.1956 | 0.5644 | 1.1956 | 1.0934 |
| No log | 3.6078 | 184 | 0.8756 | 0.6531 | 0.8756 | 0.9357 |
| No log | 3.6471 | 186 | 0.7659 | 0.7324 | 0.7659 | 0.8752 |
| No log | 3.6863 | 188 | 0.7741 | 0.7234 | 0.7741 | 0.8798 |
| No log | 3.7255 | 190 | 0.9056 | 0.6667 | 0.9056 | 0.9516 |
| No log | 3.7647 | 192 | 0.9687 | 0.6667 | 0.9687 | 0.9842 |
| No log | 3.8039 | 194 | 0.8558 | 0.7059 | 0.8558 | 0.9251 |
| No log | 3.8431 | 196 | 0.7350 | 0.7630 | 0.7350 | 0.8573 |
| No log | 3.8824 | 198 | 0.7328 | 0.75 | 0.7328 | 0.8560 |
| No log | 3.9216 | 200 | 0.8113 | 0.7484 | 0.8113 | 0.9007 |
| No log | 3.9608 | 202 | 0.8366 | 0.7133 | 0.8366 | 0.9147 |
| No log | 4.0 | 204 | 0.8017 | 0.7211 | 0.8017 | 0.8954 |
| No log | 4.0392 | 206 | 0.7513 | 0.7702 | 0.7513 | 0.8668 |
| No log | 4.0784 | 208 | 0.7834 | 0.7162 | 0.7834 | 0.8851 |
| No log | 4.1176 | 210 | 0.9287 | 0.6471 | 0.9287 | 0.9637 |
| No log | 4.1569 | 212 | 0.9386 | 0.6569 | 0.9386 | 0.9688 |
| No log | 4.1961 | 214 | 0.8596 | 0.6901 | 0.8596 | 0.9272 |
| No log | 4.2353 | 216 | 0.8095 | 0.7284 | 0.8095 | 0.8997 |
| No log | 4.2745 | 218 | 0.9008 | 0.7345 | 0.9008 | 0.9491 |
| No log | 4.3137 | 220 | 1.2737 | 0.6146 | 1.2737 | 1.1286 |
| No log | 4.3529 | 222 | 1.3568 | 0.6154 | 1.3568 | 1.1648 |
| No log | 4.3922 | 224 | 1.0882 | 0.6222 | 1.0882 | 1.0432 |
| No log | 4.4314 | 226 | 0.8013 | 0.7719 | 0.8013 | 0.8951 |
| No log | 4.4706 | 228 | 0.7716 | 0.7453 | 0.7716 | 0.8784 |
| No log | 4.5098 | 230 | 0.8671 | 0.7195 | 0.8671 | 0.9312 |
| No log | 4.5490 | 232 | 1.1038 | 0.6235 | 1.1038 | 1.0506 |
| No log | 4.5882 | 234 | 1.1752 | 0.6145 | 1.1752 | 1.0841 |
| No log | 4.6275 | 236 | 1.0690 | 0.6433 | 1.0690 | 1.0339 |
| No log | 4.6667 | 238 | 0.9435 | 0.6792 | 0.9435 | 0.9714 |
| No log | 4.7059 | 240 | 0.9684 | 0.6131 | 0.9684 | 0.9841 |
| No log | 4.7451 | 242 | 1.0463 | 0.6119 | 1.0463 | 1.0229 |
| No log | 4.7843 | 244 | 1.0413 | 0.6277 | 1.0413 | 1.0204 |
| No log | 4.8235 | 246 | 1.0248 | 0.6533 | 1.0248 | 1.0123 |
| No log | 4.8627 | 248 | 1.0669 | 0.6265 | 1.0669 | 1.0329 |
| No log | 4.9020 | 250 | 1.0840 | 0.6391 | 1.0840 | 1.0412 |
| No log | 4.9412 | 252 | 1.0955 | 0.6353 | 1.0955 | 1.0467 |
| No log | 4.9804 | 254 | 0.8949 | 0.6536 | 0.8949 | 0.9460 |
| No log | 5.0196 | 256 | 0.7566 | 0.7320 | 0.7566 | 0.8698 |
| No log | 5.0588 | 258 | 0.7134 | 0.7297 | 0.7134 | 0.8446 |
| No log | 5.0980 | 260 | 0.7367 | 0.7468 | 0.7367 | 0.8583 |
| No log | 5.1373 | 262 | 0.9183 | 0.7006 | 0.9183 | 0.9583 |
| No log | 5.1765 | 264 | 1.0066 | 0.7006 | 1.0066 | 1.0033 |
| No log | 5.2157 | 266 | 0.9845 | 0.6932 | 0.9845 | 0.9922 |
| No log | 5.2549 | 268 | 0.8947 | 0.6792 | 0.8947 | 0.9459 |
| No log | 5.2941 | 270 | 0.9412 | 0.6573 | 0.9412 | 0.9702 |
| No log | 5.3333 | 272 | 1.1931 | 0.5180 | 1.1931 | 1.0923 |
| No log | 5.3725 | 274 | 1.4854 | 0.4314 | 1.4854 | 1.2188 |
| No log | 5.4118 | 276 | 1.4914 | 0.4474 | 1.4914 | 1.2212 |
| No log | 5.4510 | 278 | 1.1881 | 0.5638 | 1.1881 | 1.0900 |
| No log | 5.4902 | 280 | 0.9323 | 0.6846 | 0.9323 | 0.9656 |
| No log | 5.5294 | 282 | 0.7936 | 0.7222 | 0.7936 | 0.8908 |
| No log | 5.5686 | 284 | 0.7727 | 0.7222 | 0.7727 | 0.8790 |
| No log | 5.6078 | 286 | 0.8300 | 0.6918 | 0.8300 | 0.9111 |
| No log | 5.6471 | 288 | 0.9397 | 0.6941 | 0.9397 | 0.9694 |
| No log | 5.6863 | 290 | 0.9055 | 0.7018 | 0.9055 | 0.9516 |
| No log | 5.7255 | 292 | 0.8241 | 0.7458 | 0.8241 | 0.9078 |
| No log | 5.7647 | 294 | 0.7652 | 0.7416 | 0.7652 | 0.8748 |
| No log | 5.8039 | 296 | 0.8052 | 0.7345 | 0.8052 | 0.8973 |
| No log | 5.8431 | 298 | 0.8366 | 0.7093 | 0.8366 | 0.9147 |
| No log | 5.8824 | 300 | 0.8693 | 0.7093 | 0.8693 | 0.9324 |
| No log | 5.9216 | 302 | 1.0378 | 0.6705 | 1.0378 | 1.0187 |
| No log | 5.9608 | 304 | 1.2508 | 0.5930 | 1.2508 | 1.1184 |
| No log | 6.0 | 306 | 1.1490 | 0.6036 | 1.1490 | 1.0719 |
| No log | 6.0392 | 308 | 0.9634 | 0.5931 | 0.9634 | 0.9815 |
| No log | 6.0784 | 310 | 0.8495 | 0.6857 | 0.8495 | 0.9217 |
| No log | 6.1176 | 312 | 0.8667 | 0.6763 | 0.8667 | 0.9310 |
| No log | 6.1569 | 314 | 0.9715 | 0.5373 | 0.9715 | 0.9857 |
| No log | 6.1961 | 316 | 1.1008 | 0.5789 | 1.1008 | 1.0492 |
| No log | 6.2353 | 318 | 1.1114 | 0.6 | 1.1114 | 1.0542 |
| No log | 6.2745 | 320 | 1.1254 | 0.6395 | 1.1254 | 1.0608 |
| No log | 6.3137 | 322 | 1.0552 | 0.6272 | 1.0552 | 1.0272 |
| No log | 6.3529 | 324 | 0.9508 | 0.6626 | 0.9508 | 0.9751 |
| No log | 6.3922 | 326 | 0.8717 | 0.6622 | 0.8717 | 0.9336 |
| No log | 6.4314 | 328 | 0.8659 | 0.6443 | 0.8659 | 0.9306 |
| No log | 6.4706 | 330 | 0.8268 | 0.6713 | 0.8268 | 0.9093 |
| No log | 6.5098 | 332 | 0.7979 | 0.7273 | 0.7979 | 0.8933 |
| No log | 6.5490 | 334 | 0.8250 | 0.6944 | 0.8250 | 0.9083 |
| No log | 6.5882 | 336 | 0.8968 | 0.625 | 0.8968 | 0.9470 |
| No log | 6.6275 | 338 | 0.9517 | 0.5816 | 0.9517 | 0.9756 |
| No log | 6.6667 | 340 | 0.9973 | 0.5974 | 0.9973 | 0.9986 |
| No log | 6.7059 | 342 | 0.9902 | 0.5974 | 0.9902 | 0.9951 |
| No log | 6.7451 | 344 | 0.9180 | 0.6803 | 0.9180 | 0.9581 |
| No log | 6.7843 | 346 | 0.8954 | 0.6351 | 0.8954 | 0.9463 |
| No log | 6.8235 | 348 | 0.9270 | 0.6380 | 0.9270 | 0.9628 |
| No log | 6.8627 | 350 | 0.9545 | 0.6296 | 0.9545 | 0.9770 |
| No log | 6.9020 | 352 | 0.9964 | 0.6310 | 0.9964 | 0.9982 |
| No log | 6.9412 | 354 | 1.1483 | 0.6316 | 1.1483 | 1.0716 |
| No log | 6.9804 | 356 | 1.0904 | 0.6590 | 1.0904 | 1.0442 |
| No log | 7.0196 | 358 | 1.0752 | 0.6358 | 1.0752 | 1.0369 |
| No log | 7.0588 | 360 | 1.0655 | 0.6395 | 1.0655 | 1.0322 |
| No log | 7.0980 | 362 | 1.1511 | 0.64 | 1.1511 | 1.0729 |
| No log | 7.1373 | 364 | 1.1135 | 0.6322 | 1.1135 | 1.0552 |
| No log | 7.1765 | 366 | 0.8728 | 0.6788 | 0.8728 | 0.9342 |
| No log | 7.2157 | 368 | 0.7263 | 0.7448 | 0.7263 | 0.8522 |
| No log | 7.2549 | 370 | 0.7316 | 0.7034 | 0.7316 | 0.8554 |
| No log | 7.2941 | 372 | 0.7801 | 0.6944 | 0.7801 | 0.8832 |
| No log | 7.3333 | 374 | 0.8814 | 0.6525 | 0.8814 | 0.9388 |
| No log | 7.3725 | 376 | 1.0869 | 0.6543 | 1.0869 | 1.0425 |
| No log | 7.4118 | 378 | 1.2390 | 0.6036 | 1.2390 | 1.1131 |
| No log | 7.4510 | 380 | 1.2624 | 0.6036 | 1.2624 | 1.1235 |
| No log | 7.4902 | 382 | 1.1804 | 0.6395 | 1.1804 | 1.0865 |
| No log | 7.5294 | 384 | 1.0475 | 0.6667 | 1.0475 | 1.0235 |
| No log | 7.5686 | 386 | 0.8452 | 0.6338 | 0.8452 | 0.9193 |
| No log | 7.6078 | 388 | 0.7441 | 0.7034 | 0.7441 | 0.8626 |
| No log | 7.6471 | 390 | 0.7375 | 0.7092 | 0.7375 | 0.8588 |
| No log | 7.6863 | 392 | 0.7444 | 0.7260 | 0.7444 | 0.8628 |
| No log | 7.7255 | 394 | 0.8230 | 0.6241 | 0.8230 | 0.9072 |
| No log | 7.7647 | 396 | 1.0056 | 0.6323 | 1.0056 | 1.0028 |
| No log | 7.8039 | 398 | 1.1969 | 0.5875 | 1.1969 | 1.0941 |
| No log | 7.8431 | 400 | 1.1382 | 0.6098 | 1.1382 | 1.0669 |
| No log | 7.8824 | 402 | 0.9408 | 0.6420 | 0.9408 | 0.9699 |
| No log | 7.9216 | 404 | 0.8294 | 0.7470 | 0.8294 | 0.9107 |
| No log | 7.9608 | 406 | 0.8076 | 0.7647 | 0.8076 | 0.8986 |
| No log | 8.0 | 408 | 0.7915 | 0.7456 | 0.7915 | 0.8897 |
| No log | 8.0392 | 410 | 0.8782 | 0.7374 | 0.8782 | 0.9371 |
| No log | 8.0784 | 412 | 1.0098 | 0.6526 | 1.0098 | 1.0049 |
| No log | 8.1176 | 414 | 1.0011 | 0.6522 | 1.0011 | 1.0005 |
| No log | 8.1569 | 416 | 1.0182 | 0.6286 | 1.0182 | 1.0090 |
| No log | 8.1961 | 418 | 1.1389 | 0.6364 | 1.1389 | 1.0672 |
| No log | 8.2353 | 420 | 1.1587 | 0.6190 | 1.1587 | 1.0764 |
| No log | 8.2745 | 422 | 1.0070 | 0.6380 | 1.0070 | 1.0035 |
| No log | 8.3137 | 424 | 0.9143 | 0.6625 | 0.9143 | 0.9562 |
| No log | 8.3529 | 426 | 0.8168 | 0.6839 | 0.8168 | 0.9038 |
| No log | 8.3922 | 428 | 0.8013 | 0.7081 | 0.8013 | 0.8951 |
| No log | 8.4314 | 430 | 0.8261 | 0.7117 | 0.8261 | 0.9089 |
| No log | 8.4706 | 432 | 0.9691 | 0.6506 | 0.9691 | 0.9844 |
| No log | 8.5098 | 434 | 1.0429 | 0.6509 | 1.0429 | 1.0212 |
| No log | 8.5490 | 436 | 1.1506 | 0.6364 | 1.1506 | 1.0727 |
| No log | 8.5882 | 438 | 1.0564 | 0.6395 | 1.0564 | 1.0278 |
| No log | 8.6275 | 440 | 0.8706 | 0.6982 | 0.8706 | 0.9331 |
| No log | 8.6667 | 442 | 0.7487 | 0.7975 | 0.7487 | 0.8653 |
| No log | 8.7059 | 444 | 0.7317 | 0.7975 | 0.7317 | 0.8554 |
| No log | 8.7451 | 446 | 0.7337 | 0.7975 | 0.7337 | 0.8566 |
| No log | 8.7843 | 448 | 0.7538 | 0.7901 | 0.7538 | 0.8682 |
| No log | 8.8235 | 450 | 0.7418 | 0.7682 | 0.7418 | 0.8613 |
| No log | 8.8627 | 452 | 0.7435 | 0.6944 | 0.7435 | 0.8623 |
| No log | 8.9020 | 454 | 0.7881 | 0.7260 | 0.7881 | 0.8878 |
| No log | 8.9412 | 456 | 0.9032 | 0.6447 | 0.9032 | 0.9504 |
| No log | 8.9804 | 458 | 1.1408 | 0.6258 | 1.1408 | 1.0681 |
| No log | 9.0196 | 460 | 1.5393 | 0.5556 | 1.5393 | 1.2407 |
| No log | 9.0588 | 462 | 1.7226 | 0.5137 | 1.7226 | 1.3125 |
| No log | 9.0980 | 464 | 1.4902 | 0.5574 | 1.4902 | 1.2208 |
| No log | 9.1373 | 466 | 1.1170 | 0.6322 | 1.1170 | 1.0569 |
| No log | 9.1765 | 468 | 0.8558 | 0.7349 | 0.8558 | 0.9251 |
| No log | 9.2157 | 470 | 0.7554 | 0.7898 | 0.7554 | 0.8691 |
| No log | 9.2549 | 472 | 0.7299 | 0.7898 | 0.7299 | 0.8543 |
| No log | 9.2941 | 474 | 0.7288 | 0.7483 | 0.7288 | 0.8537 |
| No log | 9.3333 | 476 | 0.7774 | 0.7397 | 0.7773 | 0.8817 |
| No log | 9.3725 | 478 | 0.7654 | 0.7273 | 0.7654 | 0.8749 |
| No log | 9.4118 | 480 | 0.7575 | 0.7361 | 0.7575 | 0.8704 |
| No log | 9.4510 | 482 | 0.7525 | 0.7361 | 0.7525 | 0.8675 |
| No log | 9.4902 | 484 | 0.7393 | 0.7361 | 0.7393 | 0.8598 |
| No log | 9.5294 | 486 | 0.7499 | 0.7361 | 0.7499 | 0.8660 |
| No log | 9.5686 | 488 | 0.8186 | 0.7355 | 0.8186 | 0.9048 |
| No log | 9.6078 | 490 | 0.9678 | 0.6788 | 0.9678 | 0.9838 |
| No log | 9.6471 | 492 | 1.0505 | 0.6588 | 1.0505 | 1.0250 |
| No log | 9.6863 | 494 | 1.0885 | 0.6474 | 1.0885 | 1.0433 |
| No log | 9.7255 | 496 | 0.9274 | 0.6667 | 0.9274 | 0.9630 |
| No log | 9.7647 | 498 | 0.7021 | 0.7826 | 0.7021 | 0.8379 |
| 0.454 | 9.8039 | 500 | 0.6165 | 0.7974 | 0.6165 | 0.7852 |
| 0.454 | 9.8431 | 502 | 0.6267 | 0.7671 | 0.6267 | 0.7916 |
| 0.454 | 9.8824 | 504 | 0.6182 | 0.7671 | 0.6182 | 0.7863 |
| 0.454 | 9.9216 | 506 | 0.6209 | 0.7871 | 0.6209 | 0.7880 |
| 0.454 | 9.9608 | 508 | 0.6879 | 0.7595 | 0.6879 | 0.8294 |
| 0.454 | 10.0 | 510 | 0.7619 | 0.7407 | 0.7619 | 0.8729 |
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/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run1_AugV5_k11_task1_organization
Base model
aubmindlab/bert-base-arabertv02