Instructions to use MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_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_FineTuningAraBERT_run2_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_FineTuningAraBERT_run2_AugV5_k11_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k11_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_FineTuningAraBERT_run2_AugV5_k11_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_FineTuningAraBERT_run2_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: 1.1743
- Qwk: 0.5390
- Mse: 1.1743
- Rmse: 1.0836
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 | 6.7535 | 0.0308 | 6.7535 | 2.5987 |
| No log | 0.0784 | 4 | 4.1478 | 0.0779 | 4.1478 | 2.0366 |
| No log | 0.1176 | 6 | 3.0688 | 0.0870 | 3.0688 | 1.7518 |
| No log | 0.1569 | 8 | 2.3231 | 0.1007 | 2.3231 | 1.5242 |
| No log | 0.1961 | 10 | 1.9036 | 0.1607 | 1.9036 | 1.3797 |
| No log | 0.2353 | 12 | 1.8910 | 0.2301 | 1.8910 | 1.3751 |
| No log | 0.2745 | 14 | 1.8360 | 0.2478 | 1.8360 | 1.3550 |
| No log | 0.3137 | 16 | 1.7504 | 0.2545 | 1.7504 | 1.3230 |
| No log | 0.3529 | 18 | 1.8125 | 0.2931 | 1.8125 | 1.3463 |
| No log | 0.3922 | 20 | 1.6724 | 0.2569 | 1.6724 | 1.2932 |
| No log | 0.4314 | 22 | 1.6998 | 0.2703 | 1.6998 | 1.3038 |
| No log | 0.4706 | 24 | 2.0476 | 0.1290 | 2.0476 | 1.4309 |
| No log | 0.5098 | 26 | 2.2110 | 0.0769 | 2.2110 | 1.4870 |
| No log | 0.5490 | 28 | 2.0564 | 0.1791 | 2.0564 | 1.4340 |
| No log | 0.5882 | 30 | 1.6174 | 0.1897 | 1.6174 | 1.2718 |
| No log | 0.6275 | 32 | 1.4967 | 0.2385 | 1.4967 | 1.2234 |
| No log | 0.6667 | 34 | 1.5731 | 0.3306 | 1.5731 | 1.2542 |
| No log | 0.7059 | 36 | 1.5390 | 0.3577 | 1.5390 | 1.2406 |
| No log | 0.7451 | 38 | 1.4809 | 0.2759 | 1.4809 | 1.2169 |
| No log | 0.7843 | 40 | 1.4105 | 0.3393 | 1.4105 | 1.1877 |
| No log | 0.8235 | 42 | 1.4319 | 0.3455 | 1.4319 | 1.1966 |
| No log | 0.8627 | 44 | 1.3938 | 0.4107 | 1.3938 | 1.1806 |
| No log | 0.9020 | 46 | 1.3237 | 0.3860 | 1.3237 | 1.1505 |
| No log | 0.9412 | 48 | 1.3378 | 0.4274 | 1.3378 | 1.1566 |
| No log | 0.9804 | 50 | 1.3512 | 0.4590 | 1.3512 | 1.1624 |
| No log | 1.0196 | 52 | 1.4117 | 0.4697 | 1.4117 | 1.1882 |
| No log | 1.0588 | 54 | 1.5275 | 0.3636 | 1.5275 | 1.2359 |
| No log | 1.0980 | 56 | 1.6809 | 0.3286 | 1.6809 | 1.2965 |
| No log | 1.1373 | 58 | 1.7589 | 0.3143 | 1.7589 | 1.3262 |
| No log | 1.1765 | 60 | 1.7301 | 0.3309 | 1.7301 | 1.3153 |
| No log | 1.2157 | 62 | 1.6138 | 0.3741 | 1.6138 | 1.2703 |
| No log | 1.2549 | 64 | 1.3820 | 0.4638 | 1.3820 | 1.1756 |
| No log | 1.2941 | 66 | 1.2668 | 0.5362 | 1.2668 | 1.1255 |
| No log | 1.3333 | 68 | 1.2390 | 0.5821 | 1.2390 | 1.1131 |
| No log | 1.3725 | 70 | 1.3631 | 0.5191 | 1.3631 | 1.1675 |
| No log | 1.4118 | 72 | 1.4435 | 0.4769 | 1.4435 | 1.2015 |
| No log | 1.4510 | 74 | 1.4501 | 0.4478 | 1.4501 | 1.2042 |
| No log | 1.4902 | 76 | 1.3786 | 0.4526 | 1.3786 | 1.1742 |
| No log | 1.5294 | 78 | 1.3395 | 0.4930 | 1.3395 | 1.1574 |
| No log | 1.5686 | 80 | 1.2205 | 0.5152 | 1.2205 | 1.1047 |
| No log | 1.6078 | 82 | 1.2295 | 0.4923 | 1.2295 | 1.1088 |
| No log | 1.6471 | 84 | 1.1819 | 0.4923 | 1.1819 | 1.0872 |
| No log | 1.6863 | 86 | 1.1789 | 0.5106 | 1.1789 | 1.0858 |
| No log | 1.7255 | 88 | 1.4781 | 0.4179 | 1.4781 | 1.2158 |
| No log | 1.7647 | 90 | 1.5647 | 0.3802 | 1.5647 | 1.2509 |
| No log | 1.8039 | 92 | 1.3394 | 0.4754 | 1.3394 | 1.1573 |
| No log | 1.8431 | 94 | 1.1156 | 0.6176 | 1.1156 | 1.0562 |
| No log | 1.8824 | 96 | 1.0324 | 0.6119 | 1.0324 | 1.0161 |
| No log | 1.9216 | 98 | 0.9971 | 0.5802 | 0.9971 | 0.9986 |
| No log | 1.9608 | 100 | 1.0176 | 0.5455 | 1.0176 | 1.0088 |
| No log | 2.0 | 102 | 1.0228 | 0.5630 | 1.0228 | 1.0114 |
| No log | 2.0392 | 104 | 1.0696 | 0.6043 | 1.0696 | 1.0342 |
| No log | 2.0784 | 106 | 1.0766 | 0.5496 | 1.0766 | 1.0376 |
| No log | 2.1176 | 108 | 1.0465 | 0.5606 | 1.0465 | 1.0230 |
| No log | 2.1569 | 110 | 1.2129 | 0.5362 | 1.2129 | 1.1013 |
| No log | 2.1961 | 112 | 1.4475 | 0.4493 | 1.4475 | 1.2031 |
| No log | 2.2353 | 114 | 1.6736 | 0.3252 | 1.6736 | 1.2937 |
| No log | 2.2745 | 116 | 1.6451 | 0.3415 | 1.6451 | 1.2826 |
| No log | 2.3137 | 118 | 1.5365 | 0.4 | 1.5365 | 1.2396 |
| No log | 2.3529 | 120 | 1.3307 | 0.4677 | 1.3307 | 1.1535 |
| No log | 2.3922 | 122 | 1.2364 | 0.5564 | 1.2364 | 1.1119 |
| No log | 2.4314 | 124 | 1.2217 | 0.5468 | 1.2217 | 1.1053 |
| No log | 2.4706 | 126 | 1.2882 | 0.5037 | 1.2882 | 1.1350 |
| No log | 2.5098 | 128 | 1.2547 | 0.5581 | 1.2547 | 1.1201 |
| No log | 2.5490 | 130 | 1.2678 | 0.5397 | 1.2678 | 1.1260 |
| No log | 2.5882 | 132 | 1.2127 | 0.5354 | 1.2127 | 1.1012 |
| No log | 2.6275 | 134 | 1.1180 | 0.5736 | 1.1180 | 1.0573 |
| No log | 2.6667 | 136 | 1.0561 | 0.5970 | 1.0561 | 1.0277 |
| No log | 2.7059 | 138 | 1.0117 | 0.5736 | 1.0117 | 1.0058 |
| No log | 2.7451 | 140 | 1.0088 | 0.5781 | 1.0088 | 1.0044 |
| No log | 2.7843 | 142 | 1.0914 | 0.5970 | 1.0914 | 1.0447 |
| No log | 2.8235 | 144 | 1.1311 | 0.5649 | 1.1311 | 1.0635 |
| No log | 2.8627 | 146 | 1.1220 | 0.5538 | 1.1220 | 1.0593 |
| No log | 2.9020 | 148 | 1.0449 | 0.5238 | 1.0449 | 1.0222 |
| No log | 2.9412 | 150 | 0.9465 | 0.6061 | 0.9465 | 0.9729 |
| No log | 2.9804 | 152 | 0.9146 | 0.6269 | 0.9146 | 0.9563 |
| No log | 3.0196 | 154 | 0.8781 | 0.6286 | 0.8781 | 0.9371 |
| No log | 3.0588 | 156 | 1.0883 | 0.5890 | 1.0883 | 1.0432 |
| No log | 3.0980 | 158 | 1.4737 | 0.4085 | 1.4737 | 1.2140 |
| No log | 3.1373 | 160 | 1.5903 | 0.3143 | 1.5903 | 1.2611 |
| No log | 3.1765 | 162 | 1.3682 | 0.4384 | 1.3682 | 1.1697 |
| No log | 3.2157 | 164 | 0.9932 | 0.6797 | 0.9932 | 0.9966 |
| No log | 3.2549 | 166 | 0.8305 | 0.7170 | 0.8305 | 0.9113 |
| No log | 3.2941 | 168 | 0.8511 | 0.7162 | 0.8511 | 0.9226 |
| No log | 3.3333 | 170 | 0.8474 | 0.7 | 0.8474 | 0.9205 |
| No log | 3.3725 | 172 | 0.9623 | 0.6143 | 0.9623 | 0.9809 |
| No log | 3.4118 | 174 | 1.1073 | 0.5942 | 1.1073 | 1.0523 |
| No log | 3.4510 | 176 | 1.0914 | 0.5985 | 1.0914 | 1.0447 |
| No log | 3.4902 | 178 | 0.9408 | 0.6471 | 0.9408 | 0.9699 |
| No log | 3.5294 | 180 | 0.8551 | 0.6763 | 0.8551 | 0.9247 |
| No log | 3.5686 | 182 | 0.8346 | 0.7042 | 0.8346 | 0.9136 |
| No log | 3.6078 | 184 | 0.8714 | 0.6761 | 0.8714 | 0.9335 |
| No log | 3.6471 | 186 | 0.9798 | 0.6111 | 0.9798 | 0.9899 |
| No log | 3.6863 | 188 | 1.1298 | 0.5634 | 1.1298 | 1.0629 |
| No log | 3.7255 | 190 | 1.2441 | 0.5468 | 1.2441 | 1.1154 |
| No log | 3.7647 | 192 | 1.2801 | 0.5294 | 1.2801 | 1.1314 |
| No log | 3.8039 | 194 | 1.1992 | 0.5294 | 1.1992 | 1.0951 |
| No log | 3.8431 | 196 | 1.0682 | 0.5821 | 1.0682 | 1.0335 |
| No log | 3.8824 | 198 | 1.0245 | 0.6087 | 1.0245 | 1.0122 |
| No log | 3.9216 | 200 | 1.0037 | 0.6331 | 1.0037 | 1.0019 |
| No log | 3.9608 | 202 | 1.0376 | 0.5758 | 1.0376 | 1.0186 |
| No log | 4.0 | 204 | 1.0644 | 0.5821 | 1.0644 | 1.0317 |
| No log | 4.0392 | 206 | 1.0778 | 0.5865 | 1.0778 | 1.0382 |
| No log | 4.0784 | 208 | 1.1290 | 0.5522 | 1.1290 | 1.0625 |
| No log | 4.1176 | 210 | 1.1396 | 0.5333 | 1.1396 | 1.0675 |
| No log | 4.1569 | 212 | 1.0319 | 0.5865 | 1.0319 | 1.0158 |
| No log | 4.1961 | 214 | 1.0155 | 0.6047 | 1.0155 | 1.0077 |
| No log | 4.2353 | 216 | 1.0145 | 0.6190 | 1.0145 | 1.0072 |
| No log | 4.2745 | 218 | 1.0258 | 0.5246 | 1.0258 | 1.0128 |
| No log | 4.3137 | 220 | 1.0750 | 0.6299 | 1.0750 | 1.0368 |
| No log | 4.3529 | 222 | 1.1937 | 0.5522 | 1.1937 | 1.0926 |
| No log | 4.3922 | 224 | 1.1896 | 0.5481 | 1.1896 | 1.0907 |
| No log | 4.4314 | 226 | 1.1415 | 0.5735 | 1.1415 | 1.0684 |
| No log | 4.4706 | 228 | 1.1114 | 0.6165 | 1.1114 | 1.0543 |
| No log | 4.5098 | 230 | 1.1437 | 0.5429 | 1.1437 | 1.0694 |
| No log | 4.5490 | 232 | 1.1740 | 0.5255 | 1.1740 | 1.0835 |
| No log | 4.5882 | 234 | 1.1128 | 0.5255 | 1.1128 | 1.0549 |
| No log | 4.6275 | 236 | 1.0002 | 0.6043 | 1.0002 | 1.0001 |
| No log | 4.6667 | 238 | 0.8943 | 0.6176 | 0.8943 | 0.9457 |
| No log | 4.7059 | 240 | 0.8682 | 0.6269 | 0.8682 | 0.9318 |
| No log | 4.7451 | 242 | 0.9007 | 0.6471 | 0.9007 | 0.9490 |
| No log | 4.7843 | 244 | 0.9599 | 0.6099 | 0.9599 | 0.9798 |
| No log | 4.8235 | 246 | 0.9926 | 0.5775 | 0.9926 | 0.9963 |
| No log | 4.8627 | 248 | 0.9926 | 0.5694 | 0.9926 | 0.9963 |
| No log | 4.9020 | 250 | 0.9121 | 0.6765 | 0.9121 | 0.9550 |
| No log | 4.9412 | 252 | 0.8574 | 0.6269 | 0.8574 | 0.9259 |
| No log | 4.9804 | 254 | 0.8671 | 0.6466 | 0.8671 | 0.9312 |
| No log | 5.0196 | 256 | 0.8681 | 0.6815 | 0.8681 | 0.9317 |
| No log | 5.0588 | 258 | 0.8798 | 0.6815 | 0.8798 | 0.9380 |
| No log | 5.0980 | 260 | 0.9033 | 0.6569 | 0.9033 | 0.9504 |
| No log | 5.1373 | 262 | 0.8691 | 0.6522 | 0.8691 | 0.9322 |
| No log | 5.1765 | 264 | 0.8744 | 0.6423 | 0.8744 | 0.9351 |
| No log | 5.2157 | 266 | 0.8742 | 0.6515 | 0.8742 | 0.9350 |
| No log | 5.2549 | 268 | 0.8754 | 0.6260 | 0.8754 | 0.9356 |
| No log | 5.2941 | 270 | 0.8988 | 0.6364 | 0.8988 | 0.9480 |
| No log | 5.3333 | 272 | 0.9593 | 0.6277 | 0.9593 | 0.9794 |
| No log | 5.3725 | 274 | 1.0387 | 0.5714 | 1.0387 | 1.0192 |
| No log | 5.4118 | 276 | 1.0882 | 0.5674 | 1.0882 | 1.0432 |
| No log | 5.4510 | 278 | 1.1103 | 0.5674 | 1.1103 | 1.0537 |
| No log | 5.4902 | 280 | 1.0872 | 0.5674 | 1.0872 | 1.0427 |
| No log | 5.5294 | 282 | 1.1503 | 0.5674 | 1.1503 | 1.0725 |
| No log | 5.5686 | 284 | 1.1996 | 0.5850 | 1.1996 | 1.0953 |
| No log | 5.6078 | 286 | 1.2541 | 0.5714 | 1.2541 | 1.1199 |
| No log | 5.6471 | 288 | 1.1018 | 0.5890 | 1.1018 | 1.0497 |
| No log | 5.6863 | 290 | 0.9567 | 0.6567 | 0.9567 | 0.9781 |
| No log | 5.7255 | 292 | 0.9247 | 0.6567 | 0.9247 | 0.9616 |
| No log | 5.7647 | 294 | 0.9375 | 0.6667 | 0.9375 | 0.9683 |
| No log | 5.8039 | 296 | 0.9386 | 0.6667 | 0.9386 | 0.9688 |
| No log | 5.8431 | 298 | 0.9353 | 0.6232 | 0.9353 | 0.9671 |
| No log | 5.8824 | 300 | 0.8320 | 0.6812 | 0.8320 | 0.9121 |
| No log | 5.9216 | 302 | 0.7761 | 0.7338 | 0.7761 | 0.8810 |
| No log | 5.9608 | 304 | 0.7797 | 0.7133 | 0.7797 | 0.8830 |
| No log | 6.0 | 306 | 0.7584 | 0.7183 | 0.7584 | 0.8709 |
| No log | 6.0392 | 308 | 0.8288 | 0.6763 | 0.8288 | 0.9104 |
| No log | 6.0784 | 310 | 0.9517 | 0.6618 | 0.9517 | 0.9756 |
| No log | 6.1176 | 312 | 0.9813 | 0.6716 | 0.9813 | 0.9906 |
| No log | 6.1569 | 314 | 0.9318 | 0.6466 | 0.9318 | 0.9653 |
| No log | 6.1961 | 316 | 0.8855 | 0.6567 | 0.8855 | 0.9410 |
| No log | 6.2353 | 318 | 0.9215 | 0.6667 | 0.9215 | 0.9599 |
| No log | 6.2745 | 320 | 1.0174 | 0.6286 | 1.0174 | 1.0087 |
| No log | 6.3137 | 322 | 1.0149 | 0.6286 | 1.0149 | 1.0074 |
| No log | 6.3529 | 324 | 0.9491 | 0.6571 | 0.9491 | 0.9742 |
| No log | 6.3922 | 326 | 0.9253 | 0.6619 | 0.9253 | 0.9619 |
| No log | 6.4314 | 328 | 0.9650 | 0.6619 | 0.9650 | 0.9824 |
| No log | 6.4706 | 330 | 1.0403 | 0.6370 | 1.0403 | 1.0200 |
| No log | 6.5098 | 332 | 1.0315 | 0.6119 | 1.0315 | 1.0156 |
| No log | 6.5490 | 334 | 1.0442 | 0.6222 | 1.0442 | 1.0218 |
| No log | 6.5882 | 336 | 1.0787 | 0.5652 | 1.0787 | 1.0386 |
| No log | 6.6275 | 338 | 1.0414 | 0.6014 | 1.0414 | 1.0205 |
| No log | 6.6667 | 340 | 0.9672 | 0.6429 | 0.9672 | 0.9835 |
| No log | 6.7059 | 342 | 0.9581 | 0.6014 | 0.9581 | 0.9788 |
| No log | 6.7451 | 344 | 0.9607 | 0.5833 | 0.9607 | 0.9801 |
| No log | 6.7843 | 346 | 0.8812 | 0.6763 | 0.8812 | 0.9387 |
| No log | 6.8235 | 348 | 0.8489 | 0.6567 | 0.8489 | 0.9213 |
| No log | 6.8627 | 350 | 0.8209 | 0.6308 | 0.8209 | 0.9060 |
| No log | 6.9020 | 352 | 0.8422 | 0.6667 | 0.8422 | 0.9177 |
| No log | 6.9412 | 354 | 0.8948 | 0.6232 | 0.8948 | 0.9460 |
| No log | 6.9804 | 356 | 0.9236 | 0.6111 | 0.9236 | 0.9611 |
| No log | 7.0196 | 358 | 0.9040 | 0.625 | 0.9040 | 0.9508 |
| No log | 7.0588 | 360 | 0.8339 | 0.6429 | 0.8339 | 0.9132 |
| No log | 7.0980 | 362 | 0.8513 | 0.6429 | 0.8513 | 0.9226 |
| No log | 7.1373 | 364 | 0.8992 | 0.6571 | 0.8992 | 0.9483 |
| No log | 7.1765 | 366 | 0.9488 | 0.6479 | 0.9488 | 0.9740 |
| No log | 7.2157 | 368 | 0.9098 | 0.6528 | 0.9098 | 0.9538 |
| No log | 7.2549 | 370 | 0.8698 | 0.6619 | 0.8698 | 0.9326 |
| No log | 7.2941 | 372 | 0.8611 | 0.6619 | 0.8611 | 0.9280 |
| No log | 7.3333 | 374 | 0.8836 | 0.6418 | 0.8836 | 0.9400 |
| No log | 7.3725 | 376 | 0.9034 | 0.6364 | 0.9034 | 0.9505 |
| No log | 7.4118 | 378 | 0.9027 | 0.6667 | 0.9027 | 0.9501 |
| No log | 7.4510 | 380 | 0.8839 | 0.6471 | 0.8839 | 0.9402 |
| No log | 7.4902 | 382 | 0.8798 | 0.6471 | 0.8798 | 0.9380 |
| No log | 7.5294 | 384 | 0.9413 | 0.6286 | 0.9413 | 0.9702 |
| No log | 7.5686 | 386 | 0.9479 | 0.6286 | 0.9479 | 0.9736 |
| No log | 7.6078 | 388 | 0.9245 | 0.6617 | 0.9245 | 0.9615 |
| No log | 7.6471 | 390 | 0.9065 | 0.6308 | 0.9065 | 0.9521 |
| No log | 7.6863 | 392 | 0.9421 | 0.6364 | 0.9421 | 0.9706 |
| No log | 7.7255 | 394 | 0.9630 | 0.6165 | 0.9630 | 0.9813 |
| No log | 7.7647 | 396 | 0.9320 | 0.6316 | 0.9320 | 0.9654 |
| No log | 7.8039 | 398 | 0.8802 | 0.6815 | 0.8802 | 0.9382 |
| No log | 7.8431 | 400 | 0.8653 | 0.6466 | 0.8653 | 0.9302 |
| No log | 7.8824 | 402 | 0.9231 | 0.6471 | 0.9231 | 0.9608 |
| No log | 7.9216 | 404 | 1.1155 | 0.5571 | 1.1155 | 1.0562 |
| No log | 7.9608 | 406 | 1.2029 | 0.5390 | 1.2029 | 1.0968 |
| No log | 8.0 | 408 | 1.0759 | 0.5970 | 1.0759 | 1.0372 |
| No log | 8.0392 | 410 | 0.9360 | 0.6615 | 0.9360 | 0.9675 |
| No log | 8.0784 | 412 | 0.8937 | 0.6412 | 0.8937 | 0.9453 |
| No log | 8.1176 | 414 | 0.9362 | 0.6519 | 0.9362 | 0.9676 |
| No log | 8.1569 | 416 | 1.0134 | 0.5797 | 1.0134 | 1.0067 |
| No log | 8.1961 | 418 | 1.0827 | 0.5714 | 1.0827 | 1.0405 |
| No log | 8.2353 | 420 | 1.0207 | 0.6324 | 1.0207 | 1.0103 |
| No log | 8.2745 | 422 | 0.9785 | 0.6269 | 0.9785 | 0.9892 |
| No log | 8.3137 | 424 | 1.0069 | 0.6107 | 1.0069 | 1.0034 |
| No log | 8.3529 | 426 | 1.0802 | 0.5942 | 1.0802 | 1.0393 |
| No log | 8.3922 | 428 | 1.1168 | 0.5714 | 1.1168 | 1.0568 |
| No log | 8.4314 | 430 | 1.2163 | 0.5556 | 1.2163 | 1.1029 |
| No log | 8.4706 | 432 | 1.2044 | 0.5556 | 1.2044 | 1.0974 |
| No log | 8.5098 | 434 | 1.0961 | 0.5714 | 1.0961 | 1.0469 |
| No log | 8.5490 | 436 | 1.0113 | 0.6131 | 1.0113 | 1.0056 |
| No log | 8.5882 | 438 | 1.0080 | 0.6131 | 1.0080 | 1.0040 |
| No log | 8.6275 | 440 | 1.0093 | 0.6370 | 1.0093 | 1.0046 |
| No log | 8.6667 | 442 | 0.9625 | 0.6716 | 0.9625 | 0.9811 |
| No log | 8.7059 | 444 | 0.9049 | 0.6667 | 0.9049 | 0.9512 |
| No log | 8.7451 | 446 | 0.8470 | 0.6765 | 0.8470 | 0.9203 |
| No log | 8.7843 | 448 | 0.7959 | 0.7101 | 0.7959 | 0.8921 |
| No log | 8.8235 | 450 | 0.7862 | 0.7194 | 0.7862 | 0.8867 |
| No log | 8.8627 | 452 | 0.7961 | 0.7101 | 0.7961 | 0.8922 |
| No log | 8.9020 | 454 | 0.8263 | 0.6906 | 0.8263 | 0.9090 |
| No log | 8.9412 | 456 | 0.9175 | 0.6143 | 0.9175 | 0.9578 |
| No log | 8.9804 | 458 | 1.0163 | 0.6 | 1.0163 | 1.0081 |
| No log | 9.0196 | 460 | 1.0683 | 0.6043 | 1.0683 | 1.0336 |
| No log | 9.0588 | 462 | 1.0478 | 0.5926 | 1.0478 | 1.0236 |
| No log | 9.0980 | 464 | 1.0173 | 0.6515 | 1.0173 | 1.0086 |
| No log | 9.1373 | 466 | 0.9534 | 0.6765 | 0.9534 | 0.9764 |
| No log | 9.1765 | 468 | 0.9216 | 0.6667 | 0.9216 | 0.9600 |
| No log | 9.2157 | 470 | 0.9152 | 0.6260 | 0.9152 | 0.9567 |
| No log | 9.2549 | 472 | 0.9440 | 0.6716 | 0.9440 | 0.9716 |
| No log | 9.2941 | 474 | 0.9840 | 0.6515 | 0.9840 | 0.9919 |
| No log | 9.3333 | 476 | 1.0806 | 0.6565 | 1.0806 | 1.0395 |
| No log | 9.3725 | 478 | 1.1359 | 0.5970 | 1.1359 | 1.0658 |
| No log | 9.4118 | 480 | 1.1550 | 0.5547 | 1.1550 | 1.0747 |
| No log | 9.4510 | 482 | 1.0223 | 0.5839 | 1.0223 | 1.0111 |
| No log | 9.4902 | 484 | 0.9117 | 0.6331 | 0.9117 | 0.9548 |
| No log | 9.5294 | 486 | 0.8100 | 0.6912 | 0.8100 | 0.9000 |
| No log | 9.5686 | 488 | 0.8164 | 0.6567 | 0.8164 | 0.9035 |
| No log | 9.6078 | 490 | 0.8792 | 0.6377 | 0.8792 | 0.9376 |
| No log | 9.6471 | 492 | 0.9612 | 0.6187 | 0.9612 | 0.9804 |
| No log | 9.6863 | 494 | 1.0505 | 0.5926 | 1.0505 | 1.0250 |
| No log | 9.7255 | 496 | 1.0423 | 0.5970 | 1.0423 | 1.0209 |
| No log | 9.7647 | 498 | 0.9738 | 0.6212 | 0.9738 | 0.9868 |
| 0.4179 | 9.8039 | 500 | 0.9275 | 0.6515 | 0.9275 | 0.9631 |
| 0.4179 | 9.8431 | 502 | 0.9409 | 0.6212 | 0.9409 | 0.9700 |
| 0.4179 | 9.8824 | 504 | 1.0792 | 0.5694 | 1.0792 | 1.0388 |
| 0.4179 | 9.9216 | 506 | 1.2923 | 0.5867 | 1.2923 | 1.1368 |
| 0.4179 | 9.9608 | 508 | 1.3180 | 0.5714 | 1.3180 | 1.1481 |
| 0.4179 | 10.0 | 510 | 1.1743 | 0.5390 | 1.1743 | 1.0836 |
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_FineTuningAraBERT_run2_AugV5_k11_task1_organization
Base model
aubmindlab/bert-base-arabertv02