Instructions to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_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_run3_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_run3_AugV5_k13_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k13_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k13_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run3_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: 0.9697
- Qwk: 0.6215
- Mse: 0.9697
- Rmse: 0.9847
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 | 2.2858 | 0.0020 | 2.2858 | 1.5119 |
| No log | 0.0784 | 4 | 1.6834 | 0.1044 | 1.6834 | 1.2975 |
| No log | 0.1176 | 6 | 1.9815 | -0.0484 | 1.9815 | 1.4077 |
| No log | 0.1569 | 8 | 1.7776 | 0.0247 | 1.7776 | 1.3333 |
| No log | 0.1961 | 10 | 1.7120 | 0.1857 | 1.7120 | 1.3084 |
| No log | 0.2353 | 12 | 1.6481 | 0.2153 | 1.6481 | 1.2838 |
| No log | 0.2745 | 14 | 1.5619 | 0.1378 | 1.5619 | 1.2498 |
| No log | 0.3137 | 16 | 1.4992 | 0.1330 | 1.4992 | 1.2244 |
| No log | 0.3529 | 18 | 1.4890 | 0.2212 | 1.4890 | 1.2203 |
| No log | 0.3922 | 20 | 1.5385 | 0.2223 | 1.5385 | 1.2404 |
| No log | 0.4314 | 22 | 1.6197 | 0.3187 | 1.6197 | 1.2727 |
| No log | 0.4706 | 24 | 1.6794 | 0.2948 | 1.6794 | 1.2959 |
| No log | 0.5098 | 26 | 1.5681 | 0.2962 | 1.5681 | 1.2522 |
| No log | 0.5490 | 28 | 1.4225 | 0.2256 | 1.4225 | 1.1927 |
| No log | 0.5882 | 30 | 1.3564 | 0.2165 | 1.3564 | 1.1647 |
| No log | 0.6275 | 32 | 1.3179 | 0.2410 | 1.3179 | 1.1480 |
| No log | 0.6667 | 34 | 1.2645 | 0.3629 | 1.2645 | 1.1245 |
| No log | 0.7059 | 36 | 1.2591 | 0.4092 | 1.2591 | 1.1221 |
| No log | 0.7451 | 38 | 1.2303 | 0.3417 | 1.2303 | 1.1092 |
| No log | 0.7843 | 40 | 1.3182 | 0.3437 | 1.3182 | 1.1481 |
| No log | 0.8235 | 42 | 1.4335 | 0.3023 | 1.4335 | 1.1973 |
| No log | 0.8627 | 44 | 1.6077 | 0.3014 | 1.6077 | 1.2680 |
| No log | 0.9020 | 46 | 1.6043 | 0.2854 | 1.6043 | 1.2666 |
| No log | 0.9412 | 48 | 1.4296 | 0.3847 | 1.4296 | 1.1957 |
| No log | 0.9804 | 50 | 1.3240 | 0.3405 | 1.3240 | 1.1507 |
| No log | 1.0196 | 52 | 1.2292 | 0.3850 | 1.2292 | 1.1087 |
| No log | 1.0588 | 54 | 1.2161 | 0.4530 | 1.2161 | 1.1028 |
| No log | 1.0980 | 56 | 1.3343 | 0.3787 | 1.3343 | 1.1551 |
| No log | 1.1373 | 58 | 1.4432 | 0.3508 | 1.4432 | 1.2013 |
| No log | 1.1765 | 60 | 1.3477 | 0.3473 | 1.3477 | 1.1609 |
| No log | 1.2157 | 62 | 1.1772 | 0.4184 | 1.1772 | 1.0850 |
| No log | 1.2549 | 64 | 1.1084 | 0.4535 | 1.1084 | 1.0528 |
| No log | 1.2941 | 66 | 1.1501 | 0.4684 | 1.1501 | 1.0724 |
| No log | 1.3333 | 68 | 1.3002 | 0.4416 | 1.3002 | 1.1403 |
| No log | 1.3725 | 70 | 1.2827 | 0.4359 | 1.2827 | 1.1326 |
| No log | 1.4118 | 72 | 1.2625 | 0.2503 | 1.2625 | 1.1236 |
| No log | 1.4510 | 74 | 1.2548 | 0.2616 | 1.2548 | 1.1202 |
| No log | 1.4902 | 76 | 1.2511 | 0.4173 | 1.2511 | 1.1185 |
| No log | 1.5294 | 78 | 1.2487 | 0.4709 | 1.2487 | 1.1174 |
| No log | 1.5686 | 80 | 1.2408 | 0.4919 | 1.2408 | 1.1139 |
| No log | 1.6078 | 82 | 1.2015 | 0.5417 | 1.2015 | 1.0961 |
| No log | 1.6471 | 84 | 1.0020 | 0.5496 | 1.0020 | 1.0010 |
| No log | 1.6863 | 86 | 0.9653 | 0.5698 | 0.9653 | 0.9825 |
| No log | 1.7255 | 88 | 1.0409 | 0.5623 | 1.0409 | 1.0203 |
| No log | 1.7647 | 90 | 1.1051 | 0.5755 | 1.1051 | 1.0512 |
| No log | 1.8039 | 92 | 1.3683 | 0.5566 | 1.3683 | 1.1697 |
| No log | 1.8431 | 94 | 1.5837 | 0.5335 | 1.5837 | 1.2584 |
| No log | 1.8824 | 96 | 1.4039 | 0.5486 | 1.4039 | 1.1848 |
| No log | 1.9216 | 98 | 1.2167 | 0.5481 | 1.2167 | 1.1030 |
| No log | 1.9608 | 100 | 1.1726 | 0.5912 | 1.1726 | 1.0829 |
| No log | 2.0 | 102 | 1.3316 | 0.5677 | 1.3316 | 1.1540 |
| No log | 2.0392 | 104 | 1.6211 | 0.5642 | 1.6211 | 1.2732 |
| No log | 2.0784 | 106 | 1.4509 | 0.5899 | 1.4509 | 1.2045 |
| No log | 2.1176 | 108 | 1.1468 | 0.6296 | 1.1468 | 1.0709 |
| No log | 2.1569 | 110 | 1.0823 | 0.6198 | 1.0823 | 1.0403 |
| No log | 2.1961 | 112 | 1.0603 | 0.6231 | 1.0603 | 1.0297 |
| No log | 2.2353 | 114 | 1.1877 | 0.6037 | 1.1877 | 1.0898 |
| No log | 2.2745 | 116 | 1.2740 | 0.5931 | 1.2740 | 1.1287 |
| No log | 2.3137 | 118 | 1.5790 | 0.5324 | 1.5790 | 1.2566 |
| No log | 2.3529 | 120 | 1.7882 | 0.5233 | 1.7882 | 1.3372 |
| No log | 2.3922 | 122 | 1.7661 | 0.5014 | 1.7661 | 1.3290 |
| No log | 2.4314 | 124 | 1.5156 | 0.5210 | 1.5156 | 1.2311 |
| No log | 2.4706 | 126 | 1.1353 | 0.5690 | 1.1353 | 1.0655 |
| No log | 2.5098 | 128 | 1.0351 | 0.5609 | 1.0351 | 1.0174 |
| No log | 2.5490 | 130 | 0.9904 | 0.5708 | 0.9904 | 0.9952 |
| No log | 2.5882 | 132 | 1.1012 | 0.5712 | 1.1012 | 1.0494 |
| No log | 2.6275 | 134 | 1.3418 | 0.5666 | 1.3418 | 1.1584 |
| No log | 2.6667 | 136 | 1.4284 | 0.5562 | 1.4284 | 1.1952 |
| No log | 2.7059 | 138 | 1.2541 | 0.5824 | 1.2541 | 1.1199 |
| No log | 2.7451 | 140 | 1.0863 | 0.6056 | 1.0863 | 1.0422 |
| No log | 2.7843 | 142 | 1.0124 | 0.6106 | 1.0124 | 1.0062 |
| No log | 2.8235 | 144 | 1.1270 | 0.6107 | 1.1270 | 1.0616 |
| No log | 2.8627 | 146 | 1.3265 | 0.5875 | 1.3265 | 1.1517 |
| No log | 2.9020 | 148 | 1.4142 | 0.6080 | 1.4142 | 1.1892 |
| No log | 2.9412 | 150 | 1.1224 | 0.6370 | 1.1224 | 1.0594 |
| No log | 2.9804 | 152 | 0.8344 | 0.6564 | 0.8344 | 0.9135 |
| No log | 3.0196 | 154 | 0.7728 | 0.6985 | 0.7728 | 0.8791 |
| No log | 3.0588 | 156 | 0.8125 | 0.6548 | 0.8125 | 0.9014 |
| No log | 3.0980 | 158 | 1.0688 | 0.6030 | 1.0688 | 1.0338 |
| No log | 3.1373 | 160 | 1.4852 | 0.5438 | 1.4852 | 1.2187 |
| No log | 3.1765 | 162 | 1.7388 | 0.5272 | 1.7388 | 1.3186 |
| No log | 3.2157 | 164 | 1.8834 | 0.4958 | 1.8834 | 1.3724 |
| No log | 3.2549 | 166 | 1.8065 | 0.5000 | 1.8065 | 1.3441 |
| No log | 3.2941 | 168 | 1.5491 | 0.4981 | 1.5491 | 1.2446 |
| No log | 3.3333 | 170 | 1.6076 | 0.4981 | 1.6076 | 1.2679 |
| No log | 3.3725 | 172 | 1.7894 | 0.4974 | 1.7894 | 1.3377 |
| No log | 3.4118 | 174 | 1.9356 | 0.4654 | 1.9356 | 1.3913 |
| No log | 3.4510 | 176 | 1.7331 | 0.4701 | 1.7331 | 1.3165 |
| No log | 3.4902 | 178 | 1.4614 | 0.5171 | 1.4614 | 1.2089 |
| No log | 3.5294 | 180 | 1.4026 | 0.5165 | 1.4026 | 1.1843 |
| No log | 3.5686 | 182 | 1.3036 | 0.5163 | 1.3036 | 1.1417 |
| No log | 3.6078 | 184 | 1.2940 | 0.5097 | 1.2940 | 1.1375 |
| No log | 3.6471 | 186 | 1.3192 | 0.5225 | 1.3192 | 1.1485 |
| No log | 3.6863 | 188 | 1.3560 | 0.5319 | 1.3560 | 1.1645 |
| No log | 3.7255 | 190 | 1.1958 | 0.5693 | 1.1958 | 1.0935 |
| No log | 3.7647 | 192 | 1.0408 | 0.5765 | 1.0408 | 1.0202 |
| No log | 3.8039 | 194 | 0.9671 | 0.5871 | 0.9671 | 0.9834 |
| No log | 3.8431 | 196 | 0.9632 | 0.6196 | 0.9632 | 0.9814 |
| No log | 3.8824 | 198 | 1.1125 | 0.5617 | 1.1125 | 1.0547 |
| No log | 3.9216 | 200 | 1.2746 | 0.5597 | 1.2746 | 1.1290 |
| No log | 3.9608 | 202 | 1.3683 | 0.5688 | 1.3683 | 1.1697 |
| No log | 4.0 | 204 | 1.2588 | 0.5525 | 1.2588 | 1.1220 |
| No log | 4.0392 | 206 | 1.2600 | 0.5632 | 1.2600 | 1.1225 |
| No log | 4.0784 | 208 | 1.2266 | 0.5536 | 1.2266 | 1.1075 |
| No log | 4.1176 | 210 | 1.2485 | 0.5600 | 1.2485 | 1.1174 |
| No log | 4.1569 | 212 | 1.2842 | 0.5354 | 1.2842 | 1.1332 |
| No log | 4.1961 | 214 | 1.2375 | 0.5642 | 1.2375 | 1.1124 |
| No log | 4.2353 | 216 | 1.2460 | 0.5520 | 1.2460 | 1.1162 |
| No log | 4.2745 | 218 | 1.1645 | 0.5917 | 1.1645 | 1.0791 |
| No log | 4.3137 | 220 | 1.0402 | 0.6154 | 1.0402 | 1.0199 |
| No log | 4.3529 | 222 | 1.0060 | 0.6257 | 1.0060 | 1.0030 |
| No log | 4.3922 | 224 | 0.9912 | 0.6330 | 0.9912 | 0.9956 |
| No log | 4.4314 | 226 | 1.0554 | 0.6187 | 1.0554 | 1.0273 |
| No log | 4.4706 | 228 | 1.0939 | 0.5978 | 1.0939 | 1.0459 |
| No log | 4.5098 | 230 | 1.1381 | 0.5998 | 1.1381 | 1.0668 |
| No log | 4.5490 | 232 | 1.0655 | 0.6047 | 1.0655 | 1.0322 |
| No log | 4.5882 | 234 | 1.0578 | 0.5974 | 1.0578 | 1.0285 |
| No log | 4.6275 | 236 | 1.0036 | 0.6037 | 1.0036 | 1.0018 |
| No log | 4.6667 | 238 | 1.0422 | 0.5845 | 1.0422 | 1.0209 |
| No log | 4.7059 | 240 | 1.0641 | 0.5690 | 1.0641 | 1.0316 |
| No log | 4.7451 | 242 | 1.1408 | 0.5746 | 1.1408 | 1.0681 |
| No log | 4.7843 | 244 | 1.2825 | 0.5587 | 1.2825 | 1.1325 |
| No log | 4.8235 | 246 | 1.3421 | 0.5612 | 1.3421 | 1.1585 |
| No log | 4.8627 | 248 | 1.3563 | 0.5783 | 1.3563 | 1.1646 |
| No log | 4.9020 | 250 | 1.2650 | 0.5756 | 1.2650 | 1.1247 |
| No log | 4.9412 | 252 | 1.2111 | 0.5695 | 1.2111 | 1.1005 |
| No log | 4.9804 | 254 | 1.2273 | 0.5572 | 1.2273 | 1.1078 |
| No log | 5.0196 | 256 | 1.3385 | 0.5475 | 1.3385 | 1.1569 |
| No log | 5.0588 | 258 | 1.5154 | 0.5646 | 1.5154 | 1.2310 |
| No log | 5.0980 | 260 | 1.5416 | 0.5610 | 1.5416 | 1.2416 |
| No log | 5.1373 | 262 | 1.4757 | 0.5858 | 1.4757 | 1.2148 |
| No log | 5.1765 | 264 | 1.3949 | 0.5794 | 1.3949 | 1.1811 |
| No log | 5.2157 | 266 | 1.1699 | 0.5591 | 1.1699 | 1.0816 |
| No log | 5.2549 | 268 | 1.0727 | 0.5755 | 1.0727 | 1.0357 |
| No log | 5.2941 | 270 | 1.1233 | 0.5725 | 1.1233 | 1.0598 |
| No log | 5.3333 | 272 | 1.1790 | 0.5725 | 1.1790 | 1.0858 |
| No log | 5.3725 | 274 | 1.2027 | 0.5666 | 1.2027 | 1.0967 |
| No log | 5.4118 | 276 | 1.1803 | 0.5814 | 1.1803 | 1.0864 |
| No log | 5.4510 | 278 | 1.1193 | 0.5897 | 1.1193 | 1.0580 |
| No log | 5.4902 | 280 | 1.0098 | 0.6010 | 1.0098 | 1.0049 |
| No log | 5.5294 | 282 | 0.9789 | 0.6139 | 0.9789 | 0.9894 |
| No log | 5.5686 | 284 | 1.0344 | 0.5971 | 1.0344 | 1.0170 |
| No log | 5.6078 | 286 | 1.0360 | 0.6060 | 1.0360 | 1.0179 |
| No log | 5.6471 | 288 | 0.9844 | 0.6077 | 0.9844 | 0.9921 |
| No log | 5.6863 | 290 | 0.9650 | 0.6099 | 0.9650 | 0.9824 |
| No log | 5.7255 | 292 | 1.0691 | 0.5968 | 1.0691 | 1.0340 |
| No log | 5.7647 | 294 | 1.1624 | 0.6023 | 1.1624 | 1.0781 |
| No log | 5.8039 | 296 | 1.2785 | 0.5990 | 1.2785 | 1.1307 |
| No log | 5.8431 | 298 | 1.2908 | 0.5949 | 1.2908 | 1.1362 |
| No log | 5.8824 | 300 | 1.1803 | 0.5870 | 1.1803 | 1.0864 |
| No log | 5.9216 | 302 | 1.0257 | 0.6117 | 1.0257 | 1.0128 |
| No log | 5.9608 | 304 | 0.9771 | 0.6127 | 0.9771 | 0.9885 |
| No log | 6.0 | 306 | 1.0143 | 0.5895 | 1.0143 | 1.0071 |
| No log | 6.0392 | 308 | 1.0962 | 0.5664 | 1.0962 | 1.0470 |
| No log | 6.0784 | 310 | 1.1816 | 0.5746 | 1.1816 | 1.0870 |
| No log | 6.1176 | 312 | 1.1586 | 0.5685 | 1.1586 | 1.0764 |
| No log | 6.1569 | 314 | 1.0438 | 0.5991 | 1.0438 | 1.0217 |
| No log | 6.1961 | 316 | 0.9743 | 0.6014 | 0.9743 | 0.9871 |
| No log | 6.2353 | 318 | 0.9384 | 0.5983 | 0.9384 | 0.9687 |
| No log | 6.2745 | 320 | 1.0028 | 0.6038 | 1.0028 | 1.0014 |
| No log | 6.3137 | 322 | 1.1731 | 0.5786 | 1.1731 | 1.0831 |
| No log | 6.3529 | 324 | 1.4840 | 0.5827 | 1.4840 | 1.2182 |
| No log | 6.3922 | 326 | 1.6800 | 0.5554 | 1.6800 | 1.2961 |
| No log | 6.4314 | 328 | 1.6667 | 0.5509 | 1.6667 | 1.2910 |
| No log | 6.4706 | 330 | 1.5329 | 0.5793 | 1.5329 | 1.2381 |
| No log | 6.5098 | 332 | 1.3674 | 0.5786 | 1.3674 | 1.1694 |
| No log | 6.5490 | 334 | 1.2587 | 0.5550 | 1.2587 | 1.1219 |
| No log | 6.5882 | 336 | 1.2351 | 0.5705 | 1.2351 | 1.1114 |
| No log | 6.6275 | 338 | 1.2842 | 0.5930 | 1.2842 | 1.1332 |
| No log | 6.6667 | 340 | 1.2416 | 0.6014 | 1.2416 | 1.1143 |
| No log | 6.7059 | 342 | 1.1544 | 0.6032 | 1.1544 | 1.0744 |
| No log | 6.7451 | 344 | 1.0212 | 0.6117 | 1.0212 | 1.0105 |
| No log | 6.7843 | 346 | 0.9101 | 0.6270 | 0.9101 | 0.9540 |
| No log | 6.8235 | 348 | 0.8401 | 0.6771 | 0.8401 | 0.9166 |
| No log | 6.8627 | 350 | 0.8256 | 0.6728 | 0.8256 | 0.9086 |
| No log | 6.9020 | 352 | 0.8197 | 0.6686 | 0.8197 | 0.9054 |
| No log | 6.9412 | 354 | 0.8106 | 0.6602 | 0.8106 | 0.9003 |
| No log | 6.9804 | 356 | 0.8527 | 0.6525 | 0.8527 | 0.9234 |
| No log | 7.0196 | 358 | 0.9474 | 0.6101 | 0.9474 | 0.9734 |
| No log | 7.0588 | 360 | 0.9907 | 0.6092 | 0.9907 | 0.9953 |
| No log | 7.0980 | 362 | 0.9859 | 0.6104 | 0.9859 | 0.9929 |
| No log | 7.1373 | 364 | 0.9647 | 0.6150 | 0.9647 | 0.9822 |
| No log | 7.1765 | 366 | 0.9832 | 0.6092 | 0.9832 | 0.9916 |
| No log | 7.2157 | 368 | 1.0198 | 0.6213 | 1.0198 | 1.0099 |
| No log | 7.2549 | 370 | 1.1298 | 0.6094 | 1.1298 | 1.0629 |
| No log | 7.2941 | 372 | 1.1724 | 0.6018 | 1.1724 | 1.0828 |
| No log | 7.3333 | 374 | 1.1319 | 0.6090 | 1.1319 | 1.0639 |
| No log | 7.3725 | 376 | 1.1077 | 0.6214 | 1.1077 | 1.0525 |
| No log | 7.4118 | 378 | 1.0731 | 0.6227 | 1.0731 | 1.0359 |
| No log | 7.4510 | 380 | 1.0421 | 0.6221 | 1.0421 | 1.0208 |
| No log | 7.4902 | 382 | 1.0103 | 0.6142 | 1.0103 | 1.0051 |
| No log | 7.5294 | 384 | 0.9841 | 0.6081 | 0.9841 | 0.9920 |
| No log | 7.5686 | 386 | 1.0102 | 0.6142 | 1.0102 | 1.0051 |
| No log | 7.6078 | 388 | 1.0596 | 0.6176 | 1.0596 | 1.0294 |
| No log | 7.6471 | 390 | 1.0461 | 0.6145 | 1.0461 | 1.0228 |
| No log | 7.6863 | 392 | 0.9755 | 0.6211 | 0.9755 | 0.9877 |
| No log | 7.7255 | 394 | 0.8972 | 0.6554 | 0.8972 | 0.9472 |
| No log | 7.7647 | 396 | 0.8337 | 0.6753 | 0.8337 | 0.9131 |
| No log | 7.8039 | 398 | 0.7968 | 0.7124 | 0.7968 | 0.8926 |
| No log | 7.8431 | 400 | 0.8044 | 0.6931 | 0.8044 | 0.8969 |
| No log | 7.8824 | 402 | 0.8211 | 0.6865 | 0.8211 | 0.9061 |
| No log | 7.9216 | 404 | 0.8812 | 0.6521 | 0.8812 | 0.9387 |
| No log | 7.9608 | 406 | 0.9386 | 0.6381 | 0.9386 | 0.9688 |
| No log | 8.0 | 408 | 1.0149 | 0.6153 | 1.0149 | 1.0074 |
| No log | 8.0392 | 410 | 1.0367 | 0.6235 | 1.0367 | 1.0182 |
| No log | 8.0784 | 412 | 1.0216 | 0.6234 | 1.0216 | 1.0107 |
| No log | 8.1176 | 414 | 1.0191 | 0.6194 | 1.0191 | 1.0095 |
| No log | 8.1569 | 416 | 1.0074 | 0.6248 | 1.0074 | 1.0037 |
| No log | 8.1961 | 418 | 1.0004 | 0.6248 | 1.0004 | 1.0002 |
| No log | 8.2353 | 420 | 0.9791 | 0.6187 | 0.9791 | 0.9895 |
| No log | 8.2745 | 422 | 0.9747 | 0.6126 | 0.9747 | 0.9872 |
| No log | 8.3137 | 424 | 0.9832 | 0.6207 | 0.9832 | 0.9916 |
| No log | 8.3529 | 426 | 0.9603 | 0.6224 | 0.9603 | 0.9799 |
| No log | 8.3922 | 428 | 0.9457 | 0.6122 | 0.9457 | 0.9725 |
| No log | 8.4314 | 430 | 0.9175 | 0.6339 | 0.9175 | 0.9579 |
| No log | 8.4706 | 432 | 0.9035 | 0.6464 | 0.9035 | 0.9505 |
| No log | 8.5098 | 434 | 0.8964 | 0.6531 | 0.8964 | 0.9468 |
| No log | 8.5490 | 436 | 0.8821 | 0.6636 | 0.8821 | 0.9392 |
| No log | 8.5882 | 438 | 0.8731 | 0.6628 | 0.8731 | 0.9344 |
| No log | 8.6275 | 440 | 0.8617 | 0.6719 | 0.8617 | 0.9283 |
| No log | 8.6667 | 442 | 0.8839 | 0.6472 | 0.8839 | 0.9402 |
| No log | 8.7059 | 444 | 0.9028 | 0.6301 | 0.9028 | 0.9502 |
| No log | 8.7451 | 446 | 0.8999 | 0.6342 | 0.8999 | 0.9487 |
| No log | 8.7843 | 448 | 0.8960 | 0.6227 | 0.8960 | 0.9465 |
| No log | 8.8235 | 450 | 0.9214 | 0.6218 | 0.9214 | 0.9599 |
| No log | 8.8627 | 452 | 0.9670 | 0.6215 | 0.9670 | 0.9834 |
| No log | 8.9020 | 454 | 1.0194 | 0.6267 | 1.0194 | 1.0097 |
| No log | 8.9412 | 456 | 1.0350 | 0.6143 | 1.0350 | 1.0173 |
| No log | 8.9804 | 458 | 1.0218 | 0.6267 | 1.0218 | 1.0108 |
| No log | 9.0196 | 460 | 0.9927 | 0.6207 | 0.9927 | 0.9963 |
| No log | 9.0588 | 462 | 0.9763 | 0.6248 | 0.9763 | 0.9881 |
| No log | 9.0980 | 464 | 0.9797 | 0.6248 | 0.9797 | 0.9898 |
| No log | 9.1373 | 466 | 0.9795 | 0.6207 | 0.9795 | 0.9897 |
| No log | 9.1765 | 468 | 0.9619 | 0.6248 | 0.9619 | 0.9808 |
| No log | 9.2157 | 470 | 0.9606 | 0.6248 | 0.9606 | 0.9801 |
| No log | 9.2549 | 472 | 0.9733 | 0.6207 | 0.9733 | 0.9866 |
| No log | 9.2941 | 474 | 0.9843 | 0.6207 | 0.9843 | 0.9921 |
| No log | 9.3333 | 476 | 0.9931 | 0.6207 | 0.9931 | 0.9965 |
| No log | 9.3725 | 478 | 0.9996 | 0.6207 | 0.9996 | 0.9998 |
| No log | 9.4118 | 480 | 1.0096 | 0.6194 | 1.0096 | 1.0048 |
| No log | 9.4510 | 482 | 1.0135 | 0.6194 | 1.0135 | 1.0067 |
| No log | 9.4902 | 484 | 1.0134 | 0.6207 | 1.0134 | 1.0067 |
| No log | 9.5294 | 486 | 1.0076 | 0.6207 | 1.0076 | 1.0038 |
| No log | 9.5686 | 488 | 0.9972 | 0.6207 | 0.9972 | 0.9986 |
| No log | 9.6078 | 490 | 0.9865 | 0.6248 | 0.9865 | 0.9932 |
| No log | 9.6471 | 492 | 0.9782 | 0.6248 | 0.9782 | 0.9891 |
| No log | 9.6863 | 494 | 0.9700 | 0.6215 | 0.9700 | 0.9849 |
| No log | 9.7255 | 496 | 0.9645 | 0.6215 | 0.9645 | 0.9821 |
| No log | 9.7647 | 498 | 0.9670 | 0.6215 | 0.9670 | 0.9833 |
| 0.3404 | 9.8039 | 500 | 0.9681 | 0.6215 | 0.9681 | 0.9839 |
| 0.3404 | 9.8431 | 502 | 0.9689 | 0.6215 | 0.9689 | 0.9843 |
| 0.3404 | 9.8824 | 504 | 0.9685 | 0.6215 | 0.9685 | 0.9841 |
| 0.3404 | 9.9216 | 506 | 0.9702 | 0.6215 | 0.9702 | 0.9850 |
| 0.3404 | 9.9608 | 508 | 0.9696 | 0.6215 | 0.9696 | 0.9847 |
| 0.3404 | 10.0 | 510 | 0.9697 | 0.6215 | 0.9697 | 0.9847 |
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_k13_task5_organization
Base model
aubmindlab/bert-base-arabertv02