Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k15_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k15_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k15_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k15_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k15_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERT_run2_AugV5_k15_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: 1.0521
- Qwk: 0.5859
- Mse: 1.0521
- Rmse: 1.0257
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 | 0.0364 | 2 | 2.3141 | -0.0137 | 2.3141 | 1.5212 |
| No log | 0.0727 | 4 | 1.6485 | 0.0792 | 1.6485 | 1.2840 |
| No log | 0.1091 | 6 | 1.5193 | 0.1495 | 1.5193 | 1.2326 |
| No log | 0.1455 | 8 | 1.4558 | 0.1661 | 1.4558 | 1.2065 |
| No log | 0.1818 | 10 | 1.3869 | 0.1475 | 1.3869 | 1.1777 |
| No log | 0.2182 | 12 | 1.3849 | 0.1475 | 1.3849 | 1.1768 |
| No log | 0.2545 | 14 | 1.3854 | 0.1475 | 1.3854 | 1.1770 |
| No log | 0.2909 | 16 | 1.4663 | 0.1704 | 1.4663 | 1.2109 |
| No log | 0.3273 | 18 | 1.5421 | 0.2134 | 1.5421 | 1.2418 |
| No log | 0.3636 | 20 | 1.6098 | 0.3187 | 1.6098 | 1.2688 |
| No log | 0.4 | 22 | 1.7509 | 0.3282 | 1.7509 | 1.3232 |
| No log | 0.4364 | 24 | 1.7281 | 0.3012 | 1.7281 | 1.3146 |
| No log | 0.4727 | 26 | 1.5883 | 0.3480 | 1.5883 | 1.2603 |
| No log | 0.5091 | 28 | 1.4772 | 0.2885 | 1.4772 | 1.2154 |
| No log | 0.5455 | 30 | 1.3890 | 0.3162 | 1.3890 | 1.1786 |
| No log | 0.5818 | 32 | 1.3453 | 0.2767 | 1.3453 | 1.1599 |
| No log | 0.6182 | 34 | 1.3289 | 0.2863 | 1.3289 | 1.1528 |
| No log | 0.6545 | 36 | 1.3375 | 0.2874 | 1.3375 | 1.1565 |
| No log | 0.6909 | 38 | 1.4424 | 0.3234 | 1.4424 | 1.2010 |
| No log | 0.7273 | 40 | 1.4647 | 0.3123 | 1.4647 | 1.2102 |
| No log | 0.7636 | 42 | 1.6116 | 0.3490 | 1.6116 | 1.2695 |
| No log | 0.8 | 44 | 1.7742 | 0.2985 | 1.7742 | 1.3320 |
| No log | 0.8364 | 46 | 1.6220 | 0.3313 | 1.6220 | 1.2736 |
| No log | 0.8727 | 48 | 1.2930 | 0.3018 | 1.2930 | 1.1371 |
| No log | 0.9091 | 50 | 1.2213 | 0.2531 | 1.2213 | 1.1051 |
| No log | 0.9455 | 52 | 1.2141 | 0.3100 | 1.2141 | 1.1018 |
| No log | 0.9818 | 54 | 1.4354 | 0.3658 | 1.4354 | 1.1981 |
| No log | 1.0182 | 56 | 1.8004 | 0.3230 | 1.8004 | 1.3418 |
| No log | 1.0545 | 58 | 1.8259 | 0.3519 | 1.8259 | 1.3512 |
| No log | 1.0909 | 60 | 1.5410 | 0.4019 | 1.5410 | 1.2414 |
| No log | 1.1273 | 62 | 1.2611 | 0.3738 | 1.2611 | 1.1230 |
| No log | 1.1636 | 64 | 1.1891 | 0.3051 | 1.1891 | 1.0905 |
| No log | 1.2 | 66 | 1.1344 | 0.3399 | 1.1344 | 1.0651 |
| No log | 1.2364 | 68 | 1.0806 | 0.3763 | 1.0806 | 1.0395 |
| No log | 1.2727 | 70 | 1.0761 | 0.3984 | 1.0761 | 1.0373 |
| No log | 1.3091 | 72 | 1.3165 | 0.4381 | 1.3165 | 1.1474 |
| No log | 1.3455 | 74 | 1.8515 | 0.3290 | 1.8515 | 1.3607 |
| No log | 1.3818 | 76 | 1.9525 | 0.3708 | 1.9525 | 1.3973 |
| No log | 1.4182 | 78 | 1.5781 | 0.4146 | 1.5781 | 1.2562 |
| No log | 1.4545 | 80 | 1.1944 | 0.4466 | 1.1944 | 1.0929 |
| No log | 1.4909 | 82 | 1.1324 | 0.4633 | 1.1324 | 1.0641 |
| No log | 1.5273 | 84 | 1.1360 | 0.4474 | 1.1360 | 1.0658 |
| No log | 1.5636 | 86 | 1.1389 | 0.4467 | 1.1389 | 1.0672 |
| No log | 1.6 | 88 | 1.2028 | 0.4319 | 1.2028 | 1.0967 |
| No log | 1.6364 | 90 | 1.3962 | 0.3878 | 1.3962 | 1.1816 |
| No log | 1.6727 | 92 | 1.5349 | 0.3808 | 1.5349 | 1.2389 |
| No log | 1.7091 | 94 | 1.4180 | 0.3916 | 1.4180 | 1.1908 |
| No log | 1.7455 | 96 | 1.2708 | 0.4184 | 1.2708 | 1.1273 |
| No log | 1.7818 | 98 | 1.1507 | 0.4699 | 1.1507 | 1.0727 |
| No log | 1.8182 | 100 | 1.0878 | 0.4856 | 1.0878 | 1.0430 |
| No log | 1.8545 | 102 | 1.0776 | 0.5044 | 1.0776 | 1.0381 |
| No log | 1.8909 | 104 | 1.0456 | 0.5272 | 1.0456 | 1.0225 |
| No log | 1.9273 | 106 | 1.1393 | 0.5273 | 1.1393 | 1.0674 |
| No log | 1.9636 | 108 | 1.4679 | 0.4891 | 1.4679 | 1.2116 |
| No log | 2.0 | 110 | 1.8379 | 0.4237 | 1.8379 | 1.3557 |
| No log | 2.0364 | 112 | 1.8756 | 0.4199 | 1.8756 | 1.3695 |
| No log | 2.0727 | 114 | 1.6363 | 0.4743 | 1.6363 | 1.2792 |
| No log | 2.1091 | 116 | 1.2163 | 0.5197 | 1.2163 | 1.1028 |
| No log | 2.1455 | 118 | 0.9485 | 0.5408 | 0.9485 | 0.9739 |
| No log | 2.1818 | 120 | 0.9048 | 0.5429 | 0.9048 | 0.9512 |
| No log | 2.2182 | 122 | 0.8940 | 0.5584 | 0.8940 | 0.9455 |
| No log | 2.2545 | 124 | 0.9089 | 0.5802 | 0.9089 | 0.9533 |
| No log | 2.2909 | 126 | 1.0145 | 0.5547 | 1.0145 | 1.0072 |
| No log | 2.3273 | 128 | 1.0843 | 0.5191 | 1.0843 | 1.0413 |
| No log | 2.3636 | 130 | 1.2221 | 0.5032 | 1.2221 | 1.1055 |
| No log | 2.4 | 132 | 1.4276 | 0.4839 | 1.4276 | 1.1948 |
| No log | 2.4364 | 134 | 1.4406 | 0.4606 | 1.4406 | 1.2002 |
| No log | 2.4727 | 136 | 1.2563 | 0.5127 | 1.2563 | 1.1208 |
| No log | 2.5091 | 138 | 1.1489 | 0.4583 | 1.1489 | 1.0719 |
| No log | 2.5455 | 140 | 1.1524 | 0.4568 | 1.1524 | 1.0735 |
| No log | 2.5818 | 142 | 1.2217 | 0.4462 | 1.2217 | 1.1053 |
| No log | 2.6182 | 144 | 1.3226 | 0.4851 | 1.3226 | 1.1500 |
| No log | 2.6545 | 146 | 1.3185 | 0.4700 | 1.3185 | 1.1483 |
| No log | 2.6909 | 148 | 1.2330 | 0.4713 | 1.2330 | 1.1104 |
| No log | 2.7273 | 150 | 1.1103 | 0.4709 | 1.1103 | 1.0537 |
| No log | 2.7636 | 152 | 1.0311 | 0.4572 | 1.0311 | 1.0154 |
| No log | 2.8 | 154 | 1.0052 | 0.5060 | 1.0052 | 1.0026 |
| No log | 2.8364 | 156 | 0.9649 | 0.5590 | 0.9649 | 0.9823 |
| No log | 2.8727 | 158 | 0.9613 | 0.5890 | 0.9613 | 0.9804 |
| No log | 2.9091 | 160 | 0.9586 | 0.5890 | 0.9586 | 0.9791 |
| No log | 2.9455 | 162 | 0.9332 | 0.6086 | 0.9332 | 0.9660 |
| No log | 2.9818 | 164 | 0.8997 | 0.6182 | 0.8997 | 0.9485 |
| No log | 3.0182 | 166 | 0.8658 | 0.6622 | 0.8658 | 0.9305 |
| No log | 3.0545 | 168 | 0.9000 | 0.6586 | 0.9000 | 0.9487 |
| No log | 3.0909 | 170 | 1.0123 | 0.6322 | 1.0123 | 1.0061 |
| No log | 3.1273 | 172 | 1.1926 | 0.5917 | 1.1926 | 1.0921 |
| No log | 3.1636 | 174 | 1.1724 | 0.5827 | 1.1724 | 1.0828 |
| No log | 3.2 | 176 | 1.0510 | 0.6101 | 1.0510 | 1.0252 |
| No log | 3.2364 | 178 | 0.9325 | 0.6364 | 0.9325 | 0.9657 |
| No log | 3.2727 | 180 | 0.9142 | 0.6364 | 0.9142 | 0.9561 |
| No log | 3.3091 | 182 | 1.0261 | 0.5838 | 1.0261 | 1.0129 |
| No log | 3.3455 | 184 | 1.2762 | 0.5458 | 1.2762 | 1.1297 |
| No log | 3.3818 | 186 | 1.4754 | 0.5195 | 1.4754 | 1.2147 |
| No log | 3.4182 | 188 | 1.5076 | 0.5113 | 1.5076 | 1.2279 |
| No log | 3.4545 | 190 | 1.3951 | 0.5368 | 1.3951 | 1.1811 |
| No log | 3.4909 | 192 | 1.1969 | 0.5735 | 1.1969 | 1.0940 |
| No log | 3.5273 | 194 | 1.0743 | 0.5874 | 1.0743 | 1.0365 |
| No log | 3.5636 | 196 | 1.0848 | 0.5828 | 1.0848 | 1.0415 |
| No log | 3.6 | 198 | 1.2024 | 0.5552 | 1.2024 | 1.0966 |
| No log | 3.6364 | 200 | 1.3083 | 0.5340 | 1.3083 | 1.1438 |
| No log | 3.6727 | 202 | 1.2693 | 0.5458 | 1.2693 | 1.1266 |
| No log | 3.7091 | 204 | 1.1508 | 0.5800 | 1.1508 | 1.0727 |
| No log | 3.7455 | 206 | 1.1334 | 0.5928 | 1.1334 | 1.0646 |
| No log | 3.7818 | 208 | 1.0640 | 0.5982 | 1.0640 | 1.0315 |
| No log | 3.8182 | 210 | 0.9540 | 0.6290 | 0.9540 | 0.9767 |
| No log | 3.8545 | 212 | 0.8506 | 0.6562 | 0.8506 | 0.9223 |
| No log | 3.8909 | 214 | 0.8386 | 0.6562 | 0.8386 | 0.9158 |
| No log | 3.9273 | 216 | 0.9363 | 0.6414 | 0.9363 | 0.9676 |
| No log | 3.9636 | 218 | 1.0328 | 0.6261 | 1.0328 | 1.0163 |
| No log | 4.0 | 220 | 1.1216 | 0.6064 | 1.1216 | 1.0590 |
| No log | 4.0364 | 222 | 1.2626 | 0.5774 | 1.2626 | 1.1237 |
| No log | 4.0727 | 224 | 1.2378 | 0.5685 | 1.2378 | 1.1125 |
| No log | 4.1091 | 226 | 1.1746 | 0.6064 | 1.1746 | 1.0838 |
| No log | 4.1455 | 228 | 1.0977 | 0.6261 | 1.0977 | 1.0477 |
| No log | 4.1818 | 230 | 1.0795 | 0.6080 | 1.0795 | 1.0390 |
| No log | 4.2182 | 232 | 1.1074 | 0.5998 | 1.1074 | 1.0524 |
| No log | 4.2545 | 234 | 1.1304 | 0.5872 | 1.1304 | 1.0632 |
| No log | 4.2909 | 236 | 1.1073 | 0.6088 | 1.1073 | 1.0523 |
| No log | 4.3273 | 238 | 1.0329 | 0.6246 | 1.0329 | 1.0163 |
| No log | 4.3636 | 240 | 0.9910 | 0.6411 | 0.9910 | 0.9955 |
| No log | 4.4 | 242 | 0.9750 | 0.6398 | 0.9750 | 0.9874 |
| No log | 4.4364 | 244 | 0.9782 | 0.6435 | 0.9782 | 0.9890 |
| No log | 4.4727 | 246 | 1.0794 | 0.6334 | 1.0794 | 1.0390 |
| No log | 4.5091 | 248 | 1.2089 | 0.5890 | 1.2089 | 1.0995 |
| No log | 4.5455 | 250 | 1.2174 | 0.5880 | 1.2174 | 1.1034 |
| No log | 4.5818 | 252 | 1.1680 | 0.6010 | 1.1680 | 1.0807 |
| No log | 4.6182 | 254 | 1.0477 | 0.6280 | 1.0477 | 1.0236 |
| No log | 4.6545 | 256 | 1.0030 | 0.6172 | 1.0030 | 1.0015 |
| No log | 4.6909 | 258 | 0.9921 | 0.5860 | 0.9921 | 0.9960 |
| No log | 4.7273 | 260 | 1.0207 | 0.5860 | 1.0207 | 1.0103 |
| No log | 4.7636 | 262 | 1.1045 | 0.5856 | 1.1045 | 1.0510 |
| No log | 4.8 | 264 | 1.1280 | 0.5997 | 1.1280 | 1.0621 |
| No log | 4.8364 | 266 | 1.0979 | 0.6168 | 1.0979 | 1.0478 |
| No log | 4.8727 | 268 | 1.0134 | 0.6374 | 1.0134 | 1.0067 |
| No log | 4.9091 | 270 | 1.0026 | 0.6421 | 1.0026 | 1.0013 |
| No log | 4.9455 | 272 | 0.9792 | 0.6317 | 0.9792 | 0.9895 |
| No log | 4.9818 | 274 | 0.9994 | 0.5903 | 0.9994 | 0.9997 |
| No log | 5.0182 | 276 | 1.0676 | 0.5367 | 1.0676 | 1.0332 |
| No log | 5.0545 | 278 | 1.0373 | 0.5462 | 1.0373 | 1.0185 |
| No log | 5.0909 | 280 | 1.0356 | 0.5576 | 1.0356 | 1.0177 |
| No log | 5.1273 | 282 | 1.0245 | 0.5734 | 1.0245 | 1.0122 |
| No log | 5.1636 | 284 | 0.9683 | 0.6037 | 0.9683 | 0.9840 |
| No log | 5.2 | 286 | 0.9360 | 0.6408 | 0.9360 | 0.9675 |
| No log | 5.2364 | 288 | 0.9607 | 0.6245 | 0.9607 | 0.9801 |
| No log | 5.2727 | 290 | 0.9828 | 0.6339 | 0.9828 | 0.9913 |
| No log | 5.3091 | 292 | 0.9988 | 0.6280 | 0.9988 | 0.9994 |
| No log | 5.3455 | 294 | 1.0625 | 0.5756 | 1.0625 | 1.0308 |
| No log | 5.3818 | 296 | 1.0550 | 0.5811 | 1.0550 | 1.0271 |
| No log | 5.4182 | 298 | 1.0020 | 0.6237 | 1.0020 | 1.0010 |
| No log | 5.4545 | 300 | 0.9407 | 0.6414 | 0.9407 | 0.9699 |
| No log | 5.4909 | 302 | 0.9543 | 0.6339 | 0.9543 | 0.9769 |
| No log | 5.5273 | 304 | 0.9521 | 0.6339 | 0.9521 | 0.9757 |
| No log | 5.5636 | 306 | 0.9107 | 0.6505 | 0.9107 | 0.9543 |
| No log | 5.6 | 308 | 0.9261 | 0.6461 | 0.9261 | 0.9624 |
| No log | 5.6364 | 310 | 0.9811 | 0.6266 | 0.9811 | 0.9905 |
| No log | 5.6727 | 312 | 0.9487 | 0.6295 | 0.9487 | 0.9740 |
| No log | 5.7091 | 314 | 0.9299 | 0.6200 | 0.9299 | 0.9643 |
| No log | 5.7455 | 316 | 0.9121 | 0.6325 | 0.9121 | 0.9551 |
| No log | 5.7818 | 318 | 0.9886 | 0.6052 | 0.9886 | 0.9943 |
| No log | 5.8182 | 320 | 1.0720 | 0.5769 | 1.0720 | 1.0354 |
| No log | 5.8545 | 322 | 1.0673 | 0.5769 | 1.0673 | 1.0331 |
| No log | 5.8909 | 324 | 1.0451 | 0.5769 | 1.0451 | 1.0223 |
| No log | 5.9273 | 326 | 1.0679 | 0.5889 | 1.0679 | 1.0334 |
| No log | 5.9636 | 328 | 1.1301 | 0.5693 | 1.1301 | 1.0631 |
| No log | 6.0 | 330 | 1.1301 | 0.5853 | 1.1301 | 1.0631 |
| No log | 6.0364 | 332 | 1.0735 | 0.6070 | 1.0735 | 1.0361 |
| No log | 6.0727 | 334 | 1.0122 | 0.6193 | 1.0122 | 1.0061 |
| No log | 6.1091 | 336 | 0.9857 | 0.6172 | 0.9857 | 0.9928 |
| No log | 6.1455 | 338 | 0.9947 | 0.6237 | 0.9947 | 0.9974 |
| No log | 6.1818 | 340 | 0.9556 | 0.6172 | 0.9556 | 0.9775 |
| No log | 6.2182 | 342 | 0.8728 | 0.6626 | 0.8728 | 0.9342 |
| No log | 6.2545 | 344 | 0.8532 | 0.6543 | 0.8532 | 0.9237 |
| No log | 6.2909 | 346 | 0.9049 | 0.6433 | 0.9049 | 0.9513 |
| No log | 6.3273 | 348 | 1.0461 | 0.6334 | 1.0461 | 1.0228 |
| No log | 6.3636 | 350 | 1.1638 | 0.5873 | 1.1638 | 1.0788 |
| No log | 6.4 | 352 | 1.1849 | 0.5873 | 1.1849 | 1.0885 |
| No log | 6.4364 | 354 | 1.0867 | 0.6029 | 1.0867 | 1.0425 |
| No log | 6.4727 | 356 | 0.9335 | 0.6310 | 0.9335 | 0.9662 |
| No log | 6.5091 | 358 | 0.8587 | 0.6696 | 0.8587 | 0.9267 |
| No log | 6.5455 | 360 | 0.8656 | 0.6651 | 0.8656 | 0.9304 |
| No log | 6.5818 | 362 | 0.9354 | 0.6310 | 0.9354 | 0.9672 |
| No log | 6.6182 | 364 | 1.0773 | 0.6049 | 1.0773 | 1.0379 |
| No log | 6.6545 | 366 | 1.1866 | 0.5695 | 1.1866 | 1.0893 |
| No log | 6.6909 | 368 | 1.1757 | 0.5705 | 1.1757 | 1.0843 |
| No log | 6.7273 | 370 | 1.0722 | 0.6052 | 1.0722 | 1.0354 |
| No log | 6.7636 | 372 | 0.9577 | 0.6186 | 0.9577 | 0.9786 |
| No log | 6.8 | 374 | 0.8899 | 0.6356 | 0.8899 | 0.9433 |
| No log | 6.8364 | 376 | 0.8720 | 0.6420 | 0.8720 | 0.9338 |
| No log | 6.8727 | 378 | 0.9158 | 0.6265 | 0.9158 | 0.9570 |
| No log | 6.9091 | 380 | 0.9336 | 0.6250 | 0.9336 | 0.9662 |
| No log | 6.9455 | 382 | 0.9200 | 0.6080 | 0.9200 | 0.9592 |
| No log | 6.9818 | 384 | 0.9447 | 0.6153 | 0.9447 | 0.9720 |
| No log | 7.0182 | 386 | 0.9880 | 0.6241 | 0.9880 | 0.9940 |
| No log | 7.0545 | 388 | 1.0089 | 0.5988 | 1.0089 | 1.0045 |
| No log | 7.0909 | 390 | 0.9710 | 0.6241 | 0.9710 | 0.9854 |
| No log | 7.1273 | 392 | 0.9137 | 0.6348 | 0.9137 | 0.9559 |
| No log | 7.1636 | 394 | 0.8821 | 0.6406 | 0.8821 | 0.9392 |
| No log | 7.2 | 396 | 0.9045 | 0.6494 | 0.9045 | 0.9510 |
| No log | 7.2364 | 398 | 0.9668 | 0.6115 | 0.9668 | 0.9833 |
| No log | 7.2727 | 400 | 1.0639 | 0.5937 | 1.0639 | 1.0314 |
| No log | 7.3091 | 402 | 1.1729 | 0.5615 | 1.1729 | 1.0830 |
| No log | 7.3455 | 404 | 1.2333 | 0.5629 | 1.2333 | 1.1106 |
| No log | 7.3818 | 406 | 1.2280 | 0.5529 | 1.2280 | 1.1081 |
| No log | 7.4182 | 408 | 1.1574 | 0.5601 | 1.1574 | 1.0758 |
| No log | 7.4545 | 410 | 1.0506 | 0.5893 | 1.0506 | 1.0250 |
| No log | 7.4909 | 412 | 0.9895 | 0.6087 | 0.9895 | 0.9947 |
| No log | 7.5273 | 414 | 0.9750 | 0.6207 | 0.9750 | 0.9874 |
| No log | 7.5636 | 416 | 0.9947 | 0.6271 | 0.9947 | 0.9974 |
| No log | 7.6 | 418 | 1.0444 | 0.5937 | 1.0444 | 1.0220 |
| No log | 7.6364 | 420 | 1.1157 | 0.5768 | 1.1157 | 1.0562 |
| No log | 7.6727 | 422 | 1.1973 | 0.5638 | 1.1973 | 1.0942 |
| No log | 7.7091 | 424 | 1.2029 | 0.5681 | 1.2029 | 1.0967 |
| No log | 7.7455 | 426 | 1.1701 | 0.5681 | 1.1701 | 1.0817 |
| No log | 7.7818 | 428 | 1.1154 | 0.5911 | 1.1154 | 1.0561 |
| No log | 7.8182 | 430 | 1.0722 | 0.6122 | 1.0722 | 1.0355 |
| No log | 7.8545 | 432 | 1.0733 | 0.6122 | 1.0733 | 1.0360 |
| No log | 7.8909 | 434 | 1.0883 | 0.5982 | 1.0883 | 1.0432 |
| No log | 7.9273 | 436 | 1.1085 | 0.5690 | 1.1085 | 1.0528 |
| No log | 7.9636 | 438 | 1.1025 | 0.5690 | 1.1025 | 1.0500 |
| No log | 8.0 | 440 | 1.0834 | 0.5859 | 1.0834 | 1.0409 |
| No log | 8.0364 | 442 | 1.0703 | 0.5712 | 1.0703 | 1.0346 |
| No log | 8.0727 | 444 | 1.0341 | 0.5688 | 1.0341 | 1.0169 |
| No log | 8.1091 | 446 | 0.9834 | 0.6125 | 0.9834 | 0.9917 |
| No log | 8.1455 | 448 | 0.9459 | 0.6332 | 0.9459 | 0.9726 |
| No log | 8.1818 | 450 | 0.9445 | 0.6332 | 0.9445 | 0.9719 |
| No log | 8.2182 | 452 | 0.9616 | 0.6204 | 0.9616 | 0.9806 |
| No log | 8.2545 | 454 | 1.0030 | 0.5872 | 1.0030 | 1.0015 |
| No log | 8.2909 | 456 | 1.0532 | 0.5757 | 1.0532 | 1.0263 |
| No log | 8.3273 | 458 | 1.0913 | 0.5814 | 1.0913 | 1.0447 |
| No log | 8.3636 | 460 | 1.0946 | 0.5814 | 1.0946 | 1.0462 |
| No log | 8.4 | 462 | 1.0815 | 0.5859 | 1.0815 | 1.0400 |
| No log | 8.4364 | 464 | 1.0553 | 0.5859 | 1.0553 | 1.0273 |
| No log | 8.4727 | 466 | 1.0074 | 0.5960 | 1.0074 | 1.0037 |
| No log | 8.5091 | 468 | 0.9843 | 0.5985 | 0.9843 | 0.9921 |
| No log | 8.5455 | 470 | 0.9809 | 0.6047 | 0.9809 | 0.9904 |
| No log | 8.5818 | 472 | 0.9713 | 0.6047 | 0.9713 | 0.9856 |
| No log | 8.6182 | 474 | 0.9749 | 0.6047 | 0.9749 | 0.9874 |
| No log | 8.6545 | 476 | 0.9825 | 0.6047 | 0.9825 | 0.9912 |
| No log | 8.6909 | 478 | 0.9897 | 0.5920 | 0.9897 | 0.9948 |
| No log | 8.7273 | 480 | 1.0000 | 0.5746 | 1.0000 | 1.0000 |
| No log | 8.7636 | 482 | 1.0077 | 0.5816 | 1.0077 | 1.0039 |
| No log | 8.8 | 484 | 0.9913 | 0.5746 | 0.9913 | 0.9956 |
| No log | 8.8364 | 486 | 0.9826 | 0.5920 | 0.9826 | 0.9913 |
| No log | 8.8727 | 488 | 0.9626 | 0.6174 | 0.9626 | 0.9811 |
| No log | 8.9091 | 490 | 0.9444 | 0.6089 | 0.9444 | 0.9718 |
| No log | 8.9455 | 492 | 0.9428 | 0.6189 | 0.9428 | 0.9710 |
| No log | 8.9818 | 494 | 0.9552 | 0.6174 | 0.9552 | 0.9773 |
| No log | 9.0182 | 496 | 0.9814 | 0.5860 | 0.9814 | 0.9907 |
| No log | 9.0545 | 498 | 1.0002 | 0.5903 | 1.0002 | 1.0001 |
| 0.2898 | 9.0909 | 500 | 1.0137 | 0.5859 | 1.0137 | 1.0068 |
| 0.2898 | 9.1273 | 502 | 1.0238 | 0.5859 | 1.0238 | 1.0118 |
| 0.2898 | 9.1636 | 504 | 1.0326 | 0.5859 | 1.0326 | 1.0162 |
| 0.2898 | 9.2 | 506 | 1.0245 | 0.5859 | 1.0245 | 1.0122 |
| 0.2898 | 9.2364 | 508 | 1.0084 | 0.5903 | 1.0084 | 1.0042 |
| 0.2898 | 9.2727 | 510 | 0.9883 | 0.6207 | 0.9883 | 0.9941 |
| 0.2898 | 9.3091 | 512 | 0.9799 | 0.6207 | 0.9799 | 0.9899 |
| 0.2898 | 9.3455 | 514 | 0.9803 | 0.6207 | 0.9803 | 0.9901 |
| 0.2898 | 9.3818 | 516 | 0.9776 | 0.6207 | 0.9776 | 0.9887 |
| 0.2898 | 9.4182 | 518 | 0.9820 | 0.6207 | 0.9820 | 0.9910 |
| 0.2898 | 9.4545 | 520 | 0.9939 | 0.6207 | 0.9939 | 0.9970 |
| 0.2898 | 9.4909 | 522 | 1.0104 | 0.6026 | 1.0104 | 1.0052 |
| 0.2898 | 9.5273 | 524 | 1.0265 | 0.5903 | 1.0265 | 1.0132 |
| 0.2898 | 9.5636 | 526 | 1.0434 | 0.5859 | 1.0434 | 1.0215 |
| 0.2898 | 9.6 | 528 | 1.0591 | 0.5859 | 1.0591 | 1.0291 |
| 0.2898 | 9.6364 | 530 | 1.0684 | 0.5814 | 1.0684 | 1.0336 |
| 0.2898 | 9.6727 | 532 | 1.0788 | 0.5814 | 1.0788 | 1.0387 |
| 0.2898 | 9.7091 | 534 | 1.0787 | 0.5814 | 1.0787 | 1.0386 |
| 0.2898 | 9.7455 | 536 | 1.0745 | 0.5814 | 1.0745 | 1.0366 |
| 0.2898 | 9.7818 | 538 | 1.0693 | 0.5814 | 1.0693 | 1.0340 |
| 0.2898 | 9.8182 | 540 | 1.0626 | 0.5814 | 1.0626 | 1.0308 |
| 0.2898 | 9.8545 | 542 | 1.0594 | 0.5814 | 1.0594 | 1.0293 |
| 0.2898 | 9.8909 | 544 | 1.0565 | 0.5814 | 1.0565 | 1.0279 |
| 0.2898 | 9.9273 | 546 | 1.0541 | 0.5814 | 1.0541 | 1.0267 |
| 0.2898 | 9.9636 | 548 | 1.0525 | 0.5859 | 1.0525 | 1.0259 |
| 0.2898 | 10.0 | 550 | 1.0521 | 0.5859 | 1.0521 | 1.0257 |
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_FineTuningAraBERT_run2_AugV5_k15_task5_organization
Base model
aubmindlab/bert-base-arabertv02