Instructions to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_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: 0.8665
- Qwk: 0.3941
- Mse: 0.8665
- Rmse: 0.9308
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 | 0.0206 | 2 | 3.9551 | -0.0254 | 3.9551 | 1.9888 |
| No log | 0.0412 | 4 | 2.3474 | 0.0074 | 2.3474 | 1.5321 |
| No log | 0.0619 | 6 | 1.5871 | -0.0180 | 1.5871 | 1.2598 |
| No log | 0.0825 | 8 | 1.2246 | 0.1725 | 1.2246 | 1.1066 |
| No log | 0.1031 | 10 | 1.3841 | 0.0945 | 1.3841 | 1.1765 |
| No log | 0.1237 | 12 | 1.2036 | 0.2042 | 1.2036 | 1.0971 |
| No log | 0.1443 | 14 | 1.1276 | 0.2166 | 1.1276 | 1.0619 |
| No log | 0.1649 | 16 | 1.2398 | 0.1927 | 1.2398 | 1.1135 |
| No log | 0.1856 | 18 | 1.0808 | 0.2787 | 1.0808 | 1.0396 |
| No log | 0.2062 | 20 | 1.0886 | 0.2384 | 1.0886 | 1.0433 |
| No log | 0.2268 | 22 | 1.0945 | 0.2820 | 1.0945 | 1.0462 |
| No log | 0.2474 | 24 | 0.9971 | 0.1589 | 0.9971 | 0.9986 |
| No log | 0.2680 | 26 | 1.2928 | 0.1086 | 1.2928 | 1.1370 |
| No log | 0.2887 | 28 | 1.2753 | 0.0701 | 1.2753 | 1.1293 |
| No log | 0.3093 | 30 | 1.0397 | 0.1589 | 1.0397 | 1.0196 |
| No log | 0.3299 | 32 | 1.1580 | 0.3119 | 1.1580 | 1.0761 |
| No log | 0.3505 | 34 | 1.1094 | 0.3062 | 1.1094 | 1.0533 |
| No log | 0.3711 | 36 | 1.0093 | 0.2042 | 1.0093 | 1.0047 |
| No log | 0.3918 | 38 | 1.2665 | 0.1290 | 1.2665 | 1.1254 |
| No log | 0.4124 | 40 | 1.3629 | 0.1476 | 1.3629 | 1.1674 |
| No log | 0.4330 | 42 | 1.2445 | 0.1745 | 1.2445 | 1.1156 |
| No log | 0.4536 | 44 | 1.0497 | 0.1874 | 1.0497 | 1.0246 |
| No log | 0.4742 | 46 | 1.0651 | 0.2448 | 1.0651 | 1.0321 |
| No log | 0.4948 | 48 | 1.0867 | 0.1971 | 1.0867 | 1.0425 |
| No log | 0.5155 | 50 | 1.0691 | 0.2114 | 1.0691 | 1.0340 |
| No log | 0.5361 | 52 | 1.0778 | 0.1713 | 1.0778 | 1.0382 |
| No log | 0.5567 | 54 | 1.0459 | 0.1864 | 1.0459 | 1.0227 |
| No log | 0.5773 | 56 | 1.0333 | 0.1989 | 1.0333 | 1.0165 |
| No log | 0.5979 | 58 | 1.1452 | 0.0576 | 1.1452 | 1.0702 |
| No log | 0.6186 | 60 | 1.0140 | 0.0914 | 1.0140 | 1.0070 |
| No log | 0.6392 | 62 | 0.9485 | 0.3651 | 0.9485 | 0.9739 |
| No log | 0.6598 | 64 | 0.9357 | 0.4416 | 0.9357 | 0.9673 |
| No log | 0.6804 | 66 | 1.0069 | 0.2842 | 1.0069 | 1.0034 |
| No log | 0.7010 | 68 | 1.0947 | 0.3262 | 1.0947 | 1.0463 |
| No log | 0.7216 | 70 | 0.9609 | 0.3087 | 0.9609 | 0.9802 |
| No log | 0.7423 | 72 | 0.9348 | 0.4180 | 0.9348 | 0.9669 |
| No log | 0.7629 | 74 | 0.9820 | 0.3487 | 0.9820 | 0.9910 |
| No log | 0.7835 | 76 | 0.9346 | 0.5048 | 0.9346 | 0.9668 |
| No log | 0.8041 | 78 | 1.2090 | 0.2790 | 1.2090 | 1.0996 |
| No log | 0.8247 | 80 | 1.9224 | -0.0431 | 1.9224 | 1.3865 |
| No log | 0.8454 | 82 | 2.1542 | -0.3061 | 2.1542 | 1.4677 |
| No log | 0.8660 | 84 | 1.5762 | -0.0274 | 1.5762 | 1.2555 |
| No log | 0.8866 | 86 | 0.9173 | 0.3089 | 0.9173 | 0.9578 |
| No log | 0.9072 | 88 | 0.9701 | 0.3793 | 0.9701 | 0.9849 |
| No log | 0.9278 | 90 | 1.0882 | 0.2964 | 1.0882 | 1.0432 |
| No log | 0.9485 | 92 | 0.9439 | 0.3066 | 0.9439 | 0.9715 |
| No log | 0.9691 | 94 | 0.8275 | 0.3780 | 0.8275 | 0.9097 |
| No log | 0.9897 | 96 | 1.0590 | 0.3283 | 1.0590 | 1.0291 |
| No log | 1.0103 | 98 | 1.1426 | 0.2816 | 1.1426 | 1.0689 |
| No log | 1.0309 | 100 | 1.0083 | 0.3354 | 1.0083 | 1.0041 |
| No log | 1.0515 | 102 | 0.8483 | 0.4198 | 0.8483 | 0.9211 |
| No log | 1.0722 | 104 | 0.8128 | 0.3425 | 0.8128 | 0.9015 |
| No log | 1.0928 | 106 | 0.8434 | 0.3651 | 0.8434 | 0.9183 |
| No log | 1.1134 | 108 | 0.8198 | 0.4544 | 0.8198 | 0.9054 |
| No log | 1.1340 | 110 | 0.8414 | 0.5220 | 0.8414 | 0.9173 |
| No log | 1.1546 | 112 | 1.0712 | 0.4016 | 1.0712 | 1.0350 |
| No log | 1.1753 | 114 | 1.2753 | 0.2557 | 1.2753 | 1.1293 |
| No log | 1.1959 | 116 | 1.3966 | 0.2329 | 1.3966 | 1.1818 |
| No log | 1.2165 | 118 | 1.1813 | 0.3575 | 1.1813 | 1.0869 |
| No log | 1.2371 | 120 | 0.9415 | 0.3929 | 0.9415 | 0.9703 |
| No log | 1.2577 | 122 | 0.8415 | 0.4595 | 0.8415 | 0.9173 |
| No log | 1.2784 | 124 | 0.7888 | 0.4626 | 0.7888 | 0.8882 |
| No log | 1.2990 | 126 | 0.7828 | 0.4381 | 0.7828 | 0.8847 |
| No log | 1.3196 | 128 | 0.7923 | 0.4520 | 0.7923 | 0.8901 |
| No log | 1.3402 | 130 | 0.8373 | 0.4067 | 0.8373 | 0.9150 |
| No log | 1.3608 | 132 | 0.9033 | 0.4546 | 0.9033 | 0.9504 |
| No log | 1.3814 | 134 | 0.8913 | 0.4789 | 0.8913 | 0.9441 |
| No log | 1.4021 | 136 | 0.9184 | 0.3945 | 0.9184 | 0.9583 |
| No log | 1.4227 | 138 | 0.9270 | 0.3945 | 0.9270 | 0.9628 |
| No log | 1.4433 | 140 | 1.0729 | 0.3286 | 1.0729 | 1.0358 |
| No log | 1.4639 | 142 | 1.1277 | 0.3310 | 1.1277 | 1.0619 |
| No log | 1.4845 | 144 | 1.0774 | 0.3256 | 1.0774 | 1.0380 |
| No log | 1.5052 | 146 | 1.0185 | 0.3808 | 1.0185 | 1.0092 |
| No log | 1.5258 | 148 | 1.0374 | 0.3771 | 1.0374 | 1.0185 |
| No log | 1.5464 | 150 | 1.0413 | 0.3216 | 1.0413 | 1.0204 |
| No log | 1.5670 | 152 | 0.9977 | 0.3635 | 0.9977 | 0.9989 |
| No log | 1.5876 | 154 | 1.0004 | 0.3635 | 1.0004 | 1.0002 |
| No log | 1.6082 | 156 | 1.0926 | 0.4158 | 1.0926 | 1.0453 |
| No log | 1.6289 | 158 | 1.0864 | 0.4226 | 1.0864 | 1.0423 |
| No log | 1.6495 | 160 | 1.0030 | 0.4255 | 1.0030 | 1.0015 |
| No log | 1.6701 | 162 | 1.0326 | 0.4255 | 1.0326 | 1.0162 |
| No log | 1.6907 | 164 | 1.1128 | 0.4141 | 1.1128 | 1.0549 |
| No log | 1.7113 | 166 | 1.0881 | 0.4212 | 1.0881 | 1.0431 |
| No log | 1.7320 | 168 | 0.9559 | 0.3691 | 0.9559 | 0.9777 |
| No log | 1.7526 | 170 | 0.9139 | 0.3668 | 0.9139 | 0.9560 |
| No log | 1.7732 | 172 | 0.9827 | 0.3826 | 0.9827 | 0.9913 |
| No log | 1.7938 | 174 | 1.0248 | 0.4326 | 1.0248 | 1.0123 |
| No log | 1.8144 | 176 | 1.0540 | 0.4130 | 1.0540 | 1.0266 |
| No log | 1.8351 | 178 | 0.9661 | 0.4349 | 0.9661 | 0.9829 |
| No log | 1.8557 | 180 | 0.8935 | 0.4335 | 0.8935 | 0.9452 |
| No log | 1.8763 | 182 | 0.8963 | 0.3543 | 0.8963 | 0.9468 |
| No log | 1.8969 | 184 | 0.9002 | 0.3543 | 0.9002 | 0.9488 |
| No log | 1.9175 | 186 | 0.9177 | 0.3543 | 0.9177 | 0.9580 |
| No log | 1.9381 | 188 | 0.8957 | 0.3250 | 0.8957 | 0.9464 |
| No log | 1.9588 | 190 | 0.9474 | 0.3107 | 0.9474 | 0.9733 |
| No log | 1.9794 | 192 | 0.9486 | 0.3404 | 0.9486 | 0.9740 |
| No log | 2.0 | 194 | 0.9436 | 0.4174 | 0.9436 | 0.9714 |
| No log | 2.0206 | 196 | 0.9340 | 0.4203 | 0.9340 | 0.9664 |
| No log | 2.0412 | 198 | 0.8760 | 0.4712 | 0.8760 | 0.9359 |
| No log | 2.0619 | 200 | 0.8414 | 0.4628 | 0.8414 | 0.9173 |
| No log | 2.0825 | 202 | 0.8810 | 0.4954 | 0.8810 | 0.9386 |
| No log | 2.1031 | 204 | 0.8879 | 0.4951 | 0.8879 | 0.9423 |
| No log | 2.1237 | 206 | 0.8407 | 0.4465 | 0.8407 | 0.9169 |
| No log | 2.1443 | 208 | 0.8362 | 0.4254 | 0.8362 | 0.9144 |
| No log | 2.1649 | 210 | 0.8448 | 0.3874 | 0.8448 | 0.9191 |
| No log | 2.1856 | 212 | 0.8785 | 0.3658 | 0.8785 | 0.9373 |
| No log | 2.2062 | 214 | 0.9177 | 0.4075 | 0.9177 | 0.9579 |
| No log | 2.2268 | 216 | 0.9879 | 0.4224 | 0.9879 | 0.9939 |
| No log | 2.2474 | 218 | 1.1536 | 0.3759 | 1.1536 | 1.0741 |
| No log | 2.2680 | 220 | 1.1319 | 0.4202 | 1.1319 | 1.0639 |
| No log | 2.2887 | 222 | 0.9605 | 0.4102 | 0.9605 | 0.9800 |
| No log | 2.3093 | 224 | 0.8732 | 0.3548 | 0.8732 | 0.9345 |
| No log | 2.3299 | 226 | 0.9324 | 0.3533 | 0.9324 | 0.9656 |
| No log | 2.3505 | 228 | 0.9261 | 0.3533 | 0.9261 | 0.9623 |
| No log | 2.3711 | 230 | 0.8589 | 0.3117 | 0.8589 | 0.9268 |
| No log | 2.3918 | 232 | 0.9430 | 0.3782 | 0.9430 | 0.9711 |
| No log | 2.4124 | 234 | 1.1587 | 0.3353 | 1.1587 | 1.0764 |
| No log | 2.4330 | 236 | 1.2620 | 0.2915 | 1.2620 | 1.1234 |
| No log | 2.4536 | 238 | 1.1395 | 0.3421 | 1.1395 | 1.0675 |
| No log | 2.4742 | 240 | 0.9332 | 0.4318 | 0.9332 | 0.9660 |
| No log | 2.4948 | 242 | 0.8653 | 0.4093 | 0.8653 | 0.9302 |
| No log | 2.5155 | 244 | 0.8868 | 0.4093 | 0.8868 | 0.9417 |
| No log | 2.5361 | 246 | 0.9636 | 0.4357 | 0.9636 | 0.9816 |
| No log | 2.5567 | 248 | 1.1455 | 0.3624 | 1.1456 | 1.0703 |
| No log | 2.5773 | 250 | 1.1285 | 0.3184 | 1.1285 | 1.0623 |
| No log | 2.5979 | 252 | 0.9643 | 0.4476 | 0.9643 | 0.9820 |
| No log | 2.6186 | 254 | 0.9096 | 0.3615 | 0.9096 | 0.9537 |
| No log | 2.6392 | 256 | 0.9171 | 0.3873 | 0.9171 | 0.9576 |
| No log | 2.6598 | 258 | 0.9163 | 0.3873 | 0.9163 | 0.9572 |
| No log | 2.6804 | 260 | 0.8944 | 0.4288 | 0.8944 | 0.9457 |
| No log | 2.7010 | 262 | 0.9926 | 0.4253 | 0.9926 | 0.9963 |
| No log | 2.7216 | 264 | 1.1118 | 0.3785 | 1.1118 | 1.0544 |
| No log | 2.7423 | 266 | 1.1537 | 0.3302 | 1.1537 | 1.0741 |
| No log | 2.7629 | 268 | 1.0719 | 0.38 | 1.0719 | 1.0353 |
| No log | 2.7835 | 270 | 0.9369 | 0.4754 | 0.9369 | 0.9680 |
| No log | 2.8041 | 272 | 0.9067 | 0.4646 | 0.9067 | 0.9522 |
| No log | 2.8247 | 274 | 0.9143 | 0.4836 | 0.9143 | 0.9562 |
| No log | 2.8454 | 276 | 0.8961 | 0.4599 | 0.8961 | 0.9466 |
| No log | 2.8660 | 278 | 0.8679 | 0.4854 | 0.8679 | 0.9316 |
| No log | 2.8866 | 280 | 0.8869 | 0.4487 | 0.8869 | 0.9417 |
| No log | 2.9072 | 282 | 0.8708 | 0.4487 | 0.8708 | 0.9332 |
| No log | 2.9278 | 284 | 0.8281 | 0.5121 | 0.8281 | 0.9100 |
| No log | 2.9485 | 286 | 0.8050 | 0.4955 | 0.8050 | 0.8972 |
| No log | 2.9691 | 288 | 0.8119 | 0.4955 | 0.8119 | 0.9010 |
| No log | 2.9897 | 290 | 0.7762 | 0.5176 | 0.7762 | 0.8810 |
| No log | 3.0103 | 292 | 0.7996 | 0.5522 | 0.7996 | 0.8942 |
| No log | 3.0309 | 294 | 0.9323 | 0.4181 | 0.9323 | 0.9655 |
| No log | 3.0515 | 296 | 1.0215 | 0.3863 | 1.0215 | 1.0107 |
| No log | 3.0722 | 298 | 1.0261 | 0.3846 | 1.0261 | 1.0130 |
| No log | 3.0928 | 300 | 0.9174 | 0.4460 | 0.9174 | 0.9578 |
| No log | 3.1134 | 302 | 0.8259 | 0.4729 | 0.8259 | 0.9088 |
| No log | 3.1340 | 304 | 0.7998 | 0.4363 | 0.7998 | 0.8943 |
| No log | 3.1546 | 306 | 0.7709 | 0.4659 | 0.7709 | 0.8780 |
| No log | 3.1753 | 308 | 0.7528 | 0.4918 | 0.7528 | 0.8676 |
| No log | 3.1959 | 310 | 0.7598 | 0.5459 | 0.7598 | 0.8716 |
| No log | 3.2165 | 312 | 0.8021 | 0.5305 | 0.8021 | 0.8956 |
| No log | 3.2371 | 314 | 0.8107 | 0.4954 | 0.8107 | 0.9004 |
| No log | 3.2577 | 316 | 0.8075 | 0.5208 | 0.8075 | 0.8986 |
| No log | 3.2784 | 318 | 0.8694 | 0.4948 | 0.8694 | 0.9324 |
| No log | 3.2990 | 320 | 0.9105 | 0.4234 | 0.9105 | 0.9542 |
| No log | 3.3196 | 322 | 0.9765 | 0.4470 | 0.9765 | 0.9882 |
| No log | 3.3402 | 324 | 1.0052 | 0.4186 | 1.0052 | 1.0026 |
| No log | 3.3608 | 326 | 1.0198 | 0.3902 | 1.0198 | 1.0098 |
| No log | 3.3814 | 328 | 0.9433 | 0.4203 | 0.9433 | 0.9712 |
| No log | 3.4021 | 330 | 0.9090 | 0.4220 | 0.9090 | 0.9534 |
| No log | 3.4227 | 332 | 0.9230 | 0.4350 | 0.9230 | 0.9607 |
| No log | 3.4433 | 334 | 0.9618 | 0.4459 | 0.9618 | 0.9807 |
| No log | 3.4639 | 336 | 0.9200 | 0.4224 | 0.9200 | 0.9592 |
| No log | 3.4845 | 338 | 0.8630 | 0.4254 | 0.8630 | 0.9290 |
| No log | 3.5052 | 340 | 0.9098 | 0.4493 | 0.9098 | 0.9538 |
| No log | 3.5258 | 342 | 0.9072 | 0.4238 | 0.9072 | 0.9525 |
| No log | 3.5464 | 344 | 0.8551 | 0.4534 | 0.8551 | 0.9247 |
| No log | 3.5670 | 346 | 0.9632 | 0.4098 | 0.9632 | 0.9814 |
| No log | 3.5876 | 348 | 1.0588 | 0.4222 | 1.0588 | 1.0290 |
| No log | 3.6082 | 350 | 1.0562 | 0.4334 | 1.0562 | 1.0277 |
| No log | 3.6289 | 352 | 1.0394 | 0.3972 | 1.0394 | 1.0195 |
| No log | 3.6495 | 354 | 0.9783 | 0.4020 | 0.9783 | 0.9891 |
| No log | 3.6701 | 356 | 0.9421 | 0.3771 | 0.9421 | 0.9706 |
| No log | 3.6907 | 358 | 0.9661 | 0.4020 | 0.9661 | 0.9829 |
| No log | 3.7113 | 360 | 1.0119 | 0.375 | 1.0119 | 1.0059 |
| No log | 3.7320 | 362 | 0.9793 | 0.3434 | 0.9793 | 0.9896 |
| No log | 3.7526 | 364 | 1.0090 | 0.3691 | 1.0090 | 1.0045 |
| No log | 3.7732 | 366 | 1.0005 | 0.3691 | 1.0005 | 1.0002 |
| No log | 3.7938 | 368 | 1.0048 | 0.3714 | 1.0048 | 1.0024 |
| No log | 3.8144 | 370 | 1.0221 | 0.3972 | 1.0221 | 1.0110 |
| No log | 3.8351 | 372 | 0.9807 | 0.3939 | 0.9807 | 0.9903 |
| No log | 3.8557 | 374 | 0.9362 | 0.3747 | 0.9362 | 0.9676 |
| No log | 3.8763 | 376 | 0.9085 | 0.3914 | 0.9085 | 0.9531 |
| No log | 3.8969 | 378 | 0.8951 | 0.4534 | 0.8951 | 0.9461 |
| No log | 3.9175 | 380 | 0.9327 | 0.4224 | 0.9327 | 0.9657 |
| No log | 3.9381 | 382 | 1.0035 | 0.4039 | 1.0035 | 1.0018 |
| No log | 3.9588 | 384 | 0.9932 | 0.3222 | 0.9932 | 0.9966 |
| No log | 3.9794 | 386 | 0.9671 | 0.2748 | 0.9671 | 0.9834 |
| No log | 4.0 | 388 | 0.9195 | 0.2771 | 0.9195 | 0.9589 |
| No log | 4.0206 | 390 | 0.8742 | 0.2986 | 0.8742 | 0.9350 |
| No log | 4.0412 | 392 | 0.8511 | 0.4385 | 0.8511 | 0.9225 |
| No log | 4.0619 | 394 | 0.8591 | 0.4503 | 0.8591 | 0.9269 |
| No log | 4.0825 | 396 | 0.8900 | 0.4241 | 0.8900 | 0.9434 |
| No log | 4.1031 | 398 | 0.9598 | 0.4310 | 0.9598 | 0.9797 |
| No log | 4.1237 | 400 | 0.9548 | 0.3921 | 0.9548 | 0.9771 |
| No log | 4.1443 | 402 | 0.8858 | 0.3085 | 0.8858 | 0.9412 |
| No log | 4.1649 | 404 | 0.8291 | 0.3112 | 0.8291 | 0.9106 |
| No log | 4.1856 | 406 | 0.8188 | 0.3896 | 0.8188 | 0.9049 |
| No log | 4.2062 | 408 | 0.8089 | 0.4030 | 0.8089 | 0.8994 |
| No log | 4.2268 | 410 | 0.8002 | 0.4629 | 0.8002 | 0.8945 |
| No log | 4.2474 | 412 | 0.8042 | 0.4487 | 0.8042 | 0.8968 |
| No log | 4.2680 | 414 | 0.8148 | 0.4726 | 0.8148 | 0.9027 |
| No log | 4.2887 | 416 | 0.8102 | 0.4726 | 0.8102 | 0.9001 |
| No log | 4.3093 | 418 | 0.7988 | 0.4757 | 0.7988 | 0.8938 |
| No log | 4.3299 | 420 | 0.8005 | 0.3896 | 0.8005 | 0.8947 |
| No log | 4.3505 | 422 | 0.8099 | 0.3628 | 0.8099 | 0.9000 |
| No log | 4.3711 | 424 | 0.8197 | 0.4010 | 0.8197 | 0.9054 |
| No log | 4.3918 | 426 | 0.7998 | 0.3513 | 0.7998 | 0.8943 |
| No log | 4.4124 | 428 | 0.8456 | 0.4312 | 0.8456 | 0.9196 |
| No log | 4.4330 | 430 | 0.8557 | 0.3953 | 0.8557 | 0.9251 |
| No log | 4.4536 | 432 | 0.8407 | 0.4590 | 0.8407 | 0.9169 |
| No log | 4.4742 | 434 | 0.7908 | 0.5010 | 0.7908 | 0.8893 |
| No log | 4.4948 | 436 | 0.8393 | 0.4723 | 0.8393 | 0.9161 |
| No log | 4.5155 | 438 | 0.9042 | 0.4723 | 0.9042 | 0.9509 |
| No log | 4.5361 | 440 | 0.9248 | 0.4709 | 0.9248 | 0.9617 |
| No log | 4.5567 | 442 | 0.8929 | 0.4471 | 0.8929 | 0.9449 |
| No log | 4.5773 | 444 | 0.8260 | 0.4097 | 0.8260 | 0.9088 |
| No log | 4.5979 | 446 | 0.7937 | 0.4563 | 0.7937 | 0.8909 |
| No log | 4.6186 | 448 | 0.7931 | 0.3737 | 0.7931 | 0.8905 |
| No log | 4.6392 | 450 | 0.8003 | 0.3737 | 0.8003 | 0.8946 |
| No log | 4.6598 | 452 | 0.8596 | 0.3802 | 0.8596 | 0.9272 |
| No log | 4.6804 | 454 | 0.9144 | 0.4326 | 0.9144 | 0.9563 |
| No log | 4.7010 | 456 | 0.9001 | 0.4071 | 0.9001 | 0.9487 |
| No log | 4.7216 | 458 | 0.8339 | 0.3777 | 0.8339 | 0.9132 |
| No log | 4.7423 | 460 | 0.8350 | 0.3590 | 0.8350 | 0.9138 |
| No log | 4.7629 | 462 | 0.8468 | 0.3733 | 0.8468 | 0.9202 |
| No log | 4.7835 | 464 | 0.8220 | 0.3877 | 0.8220 | 0.9066 |
| No log | 4.8041 | 466 | 0.8152 | 0.4612 | 0.8152 | 0.9029 |
| No log | 4.8247 | 468 | 0.8521 | 0.4487 | 0.8521 | 0.9231 |
| No log | 4.8454 | 470 | 0.8710 | 0.3940 | 0.8710 | 0.9333 |
| No log | 4.8660 | 472 | 0.8628 | 0.3658 | 0.8628 | 0.9289 |
| No log | 4.8866 | 474 | 0.8264 | 0.4854 | 0.8264 | 0.9091 |
| No log | 4.9072 | 476 | 0.8039 | 0.4873 | 0.8039 | 0.8966 |
| No log | 4.9278 | 478 | 0.7970 | 0.5002 | 0.7970 | 0.8928 |
| No log | 4.9485 | 480 | 0.8150 | 0.4742 | 0.8150 | 0.9028 |
| No log | 4.9691 | 482 | 0.8337 | 0.4854 | 0.8337 | 0.9130 |
| No log | 4.9897 | 484 | 0.8993 | 0.4335 | 0.8993 | 0.9483 |
| No log | 5.0103 | 486 | 0.9484 | 0.4696 | 0.9484 | 0.9739 |
| No log | 5.0309 | 488 | 0.8948 | 0.4335 | 0.8948 | 0.9459 |
| No log | 5.0515 | 490 | 0.8137 | 0.3959 | 0.8137 | 0.9020 |
| No log | 5.0722 | 492 | 0.8263 | 0.3773 | 0.8263 | 0.9090 |
| No log | 5.0928 | 494 | 0.8400 | 0.3265 | 0.8400 | 0.9165 |
| No log | 5.1134 | 496 | 0.8168 | 0.3773 | 0.8168 | 0.9038 |
| No log | 5.1340 | 498 | 0.7919 | 0.3896 | 0.7919 | 0.8899 |
| 0.2933 | 5.1546 | 500 | 0.7982 | 0.4974 | 0.7982 | 0.8934 |
| 0.2933 | 5.1753 | 502 | 0.8189 | 0.4974 | 0.8189 | 0.9050 |
| 0.2933 | 5.1959 | 504 | 0.8204 | 0.4742 | 0.8204 | 0.9058 |
| 0.2933 | 5.2165 | 506 | 0.8432 | 0.3941 | 0.8432 | 0.9183 |
| 0.2933 | 5.2371 | 508 | 0.8380 | 0.3977 | 0.8380 | 0.9154 |
| 0.2933 | 5.2577 | 510 | 0.8665 | 0.3941 | 0.8665 | 0.9308 |
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_B_usingALLEssays_FineTuningAraBERT_run1_AugV5_k20_task5_organization
Base model
aubmindlab/bert-base-arabertv02