Instructions to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k12_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k12_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k12_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k12_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k12_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k12_task2_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: 0.9337
- Qwk: 0.4853
- Mse: 0.9337
- Rmse: 0.9663
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 | 0.0323 | 2 | 3.9709 | -0.0239 | 3.9709 | 1.9927 |
| No log | 0.0645 | 4 | 1.9198 | 0.0556 | 1.9198 | 1.3856 |
| No log | 0.0968 | 6 | 1.1863 | 0.0424 | 1.1863 | 1.0892 |
| No log | 0.1290 | 8 | 0.8044 | 0.0457 | 0.8044 | 0.8969 |
| No log | 0.1613 | 10 | 0.7221 | 0.2108 | 0.7221 | 0.8498 |
| No log | 0.1935 | 12 | 0.8894 | 0.0594 | 0.8894 | 0.9431 |
| No log | 0.2258 | 14 | 1.0119 | -0.0402 | 1.0119 | 1.0060 |
| No log | 0.2581 | 16 | 0.7534 | 0.2505 | 0.7534 | 0.8680 |
| No log | 0.2903 | 18 | 0.7357 | 0.1667 | 0.7357 | 0.8577 |
| No log | 0.3226 | 20 | 0.7265 | 0.1381 | 0.7265 | 0.8523 |
| No log | 0.3548 | 22 | 0.7148 | 0.1381 | 0.7148 | 0.8454 |
| No log | 0.3871 | 24 | 0.7059 | 0.2023 | 0.7059 | 0.8402 |
| No log | 0.4194 | 26 | 0.7003 | 0.2333 | 0.7003 | 0.8369 |
| No log | 0.4516 | 28 | 0.6835 | 0.2645 | 0.6835 | 0.8268 |
| No log | 0.4839 | 30 | 0.6746 | 0.2333 | 0.6746 | 0.8213 |
| No log | 0.5161 | 32 | 0.7083 | 0.1546 | 0.7083 | 0.8416 |
| No log | 0.5484 | 34 | 0.8511 | 0.1276 | 0.8511 | 0.9225 |
| No log | 0.5806 | 36 | 0.8655 | 0.1333 | 0.8655 | 0.9303 |
| No log | 0.6129 | 38 | 0.8609 | 0.1333 | 0.8609 | 0.9279 |
| No log | 0.6452 | 40 | 0.7621 | 0.1667 | 0.7621 | 0.8730 |
| No log | 0.6774 | 42 | 0.6623 | 0.2648 | 0.6623 | 0.8138 |
| No log | 0.7097 | 44 | 0.6626 | 0.2882 | 0.6626 | 0.8140 |
| No log | 0.7419 | 46 | 0.6534 | 0.2690 | 0.6534 | 0.8084 |
| No log | 0.7742 | 48 | 0.6567 | 0.3426 | 0.6567 | 0.8104 |
| No log | 0.8065 | 50 | 0.8236 | 0.3506 | 0.8236 | 0.9075 |
| No log | 0.8387 | 52 | 0.9761 | 0.3201 | 0.9761 | 0.9880 |
| No log | 0.8710 | 54 | 1.1364 | 0.3064 | 1.1364 | 1.0660 |
| No log | 0.9032 | 56 | 0.9981 | 0.3273 | 0.9981 | 0.9990 |
| No log | 0.9355 | 58 | 0.8476 | 0.3645 | 0.8476 | 0.9207 |
| No log | 0.9677 | 60 | 0.6686 | 0.4357 | 0.6686 | 0.8177 |
| No log | 1.0 | 62 | 0.6463 | 0.4633 | 0.6463 | 0.8039 |
| No log | 1.0323 | 64 | 0.6702 | 0.5051 | 0.6702 | 0.8186 |
| No log | 1.0645 | 66 | 0.7608 | 0.4658 | 0.7608 | 0.8722 |
| No log | 1.0968 | 68 | 0.8321 | 0.4377 | 0.8321 | 0.9122 |
| No log | 1.1290 | 70 | 0.7525 | 0.4876 | 0.7525 | 0.8675 |
| No log | 1.1613 | 72 | 0.8312 | 0.4468 | 0.8312 | 0.9117 |
| No log | 1.1935 | 74 | 0.9995 | 0.3916 | 0.9995 | 0.9997 |
| No log | 1.2258 | 76 | 1.0270 | 0.3648 | 1.0270 | 1.0134 |
| No log | 1.2581 | 78 | 1.1007 | 0.3611 | 1.1007 | 1.0491 |
| No log | 1.2903 | 80 | 0.9763 | 0.4135 | 0.9763 | 0.9881 |
| No log | 1.3226 | 82 | 0.7733 | 0.4398 | 0.7733 | 0.8794 |
| No log | 1.3548 | 84 | 0.8242 | 0.4454 | 0.8242 | 0.9079 |
| No log | 1.3871 | 86 | 1.0034 | 0.3596 | 1.0034 | 1.0017 |
| No log | 1.4194 | 88 | 0.9915 | 0.3805 | 0.9915 | 0.9957 |
| No log | 1.4516 | 90 | 1.0315 | 0.3825 | 1.0315 | 1.0156 |
| No log | 1.4839 | 92 | 1.1567 | 0.3572 | 1.1567 | 1.0755 |
| No log | 1.5161 | 94 | 1.2601 | 0.3513 | 1.2601 | 1.1225 |
| No log | 1.5484 | 96 | 1.3502 | 0.3373 | 1.3502 | 1.1620 |
| No log | 1.5806 | 98 | 1.3726 | 0.3032 | 1.3726 | 1.1716 |
| No log | 1.6129 | 100 | 1.2602 | 0.3545 | 1.2602 | 1.1226 |
| No log | 1.6452 | 102 | 1.1466 | 0.3573 | 1.1466 | 1.0708 |
| No log | 1.6774 | 104 | 1.0365 | 0.3856 | 1.0365 | 1.0181 |
| No log | 1.7097 | 106 | 1.2055 | 0.3787 | 1.2055 | 1.0979 |
| No log | 1.7419 | 108 | 1.3300 | 0.3881 | 1.3300 | 1.1532 |
| No log | 1.7742 | 110 | 1.2696 | 0.4041 | 1.2696 | 1.1267 |
| No log | 1.8065 | 112 | 1.2528 | 0.3799 | 1.2528 | 1.1193 |
| No log | 1.8387 | 114 | 0.9565 | 0.4353 | 0.9565 | 0.9780 |
| No log | 1.8710 | 116 | 0.7249 | 0.4883 | 0.7249 | 0.8514 |
| No log | 1.9032 | 118 | 0.7027 | 0.4875 | 0.7027 | 0.8383 |
| No log | 1.9355 | 120 | 0.7815 | 0.4451 | 0.7815 | 0.8840 |
| No log | 1.9677 | 122 | 1.0918 | 0.3351 | 1.0918 | 1.0449 |
| No log | 2.0 | 124 | 1.4595 | 0.2911 | 1.4595 | 1.2081 |
| No log | 2.0323 | 126 | 1.3789 | 0.3953 | 1.3789 | 1.1743 |
| No log | 2.0645 | 128 | 0.9837 | 0.4773 | 0.9837 | 0.9918 |
| No log | 2.0968 | 130 | 0.8875 | 0.4836 | 0.8875 | 0.9421 |
| No log | 2.1290 | 132 | 0.9985 | 0.4504 | 0.9985 | 0.9992 |
| No log | 2.1613 | 134 | 1.4886 | 0.3480 | 1.4886 | 1.2201 |
| No log | 2.1935 | 136 | 1.6203 | 0.3063 | 1.6203 | 1.2729 |
| No log | 2.2258 | 138 | 1.3475 | 0.3367 | 1.3475 | 1.1608 |
| No log | 2.2581 | 140 | 0.8749 | 0.4646 | 0.8749 | 0.9354 |
| No log | 2.2903 | 142 | 0.6686 | 0.5200 | 0.6686 | 0.8177 |
| No log | 2.3226 | 144 | 0.6817 | 0.5071 | 0.6817 | 0.8256 |
| No log | 2.3548 | 146 | 0.8410 | 0.4896 | 0.8410 | 0.9171 |
| No log | 2.3871 | 148 | 1.2352 | 0.4446 | 1.2352 | 1.1114 |
| No log | 2.4194 | 150 | 1.4632 | 0.3928 | 1.4632 | 1.2096 |
| No log | 2.4516 | 152 | 1.3477 | 0.4170 | 1.3477 | 1.1609 |
| No log | 2.4839 | 154 | 1.2878 | 0.4222 | 1.2878 | 1.1348 |
| No log | 2.5161 | 156 | 1.0554 | 0.4575 | 1.0554 | 1.0273 |
| No log | 2.5484 | 158 | 0.9351 | 0.4478 | 0.9351 | 0.9670 |
| No log | 2.5806 | 160 | 0.9891 | 0.4684 | 0.9891 | 0.9945 |
| No log | 2.6129 | 162 | 1.0250 | 0.4244 | 1.0250 | 1.0124 |
| No log | 2.6452 | 164 | 0.9161 | 0.4225 | 0.9161 | 0.9571 |
| No log | 2.6774 | 166 | 1.0228 | 0.4045 | 1.0228 | 1.0113 |
| No log | 2.7097 | 168 | 1.1469 | 0.3213 | 1.1469 | 1.0710 |
| No log | 2.7419 | 170 | 1.0724 | 0.3665 | 1.0724 | 1.0355 |
| No log | 2.7742 | 172 | 0.8750 | 0.4240 | 0.8750 | 0.9354 |
| No log | 2.8065 | 174 | 0.8104 | 0.4697 | 0.8104 | 0.9002 |
| No log | 2.8387 | 176 | 0.9153 | 0.4426 | 0.9153 | 0.9567 |
| No log | 2.8710 | 178 | 1.0307 | 0.4082 | 1.0307 | 1.0152 |
| No log | 2.9032 | 180 | 1.0797 | 0.4038 | 1.0797 | 1.0391 |
| No log | 2.9355 | 182 | 0.9592 | 0.5003 | 0.9592 | 0.9794 |
| No log | 2.9677 | 184 | 1.0664 | 0.3991 | 1.0664 | 1.0327 |
| No log | 3.0 | 186 | 1.1454 | 0.4059 | 1.1454 | 1.0702 |
| No log | 3.0323 | 188 | 1.1019 | 0.4231 | 1.1019 | 1.0497 |
| No log | 3.0645 | 190 | 1.0238 | 0.4374 | 1.0238 | 1.0118 |
| No log | 3.0968 | 192 | 0.9943 | 0.4313 | 0.9943 | 0.9972 |
| No log | 3.1290 | 194 | 0.9535 | 0.4759 | 0.9535 | 0.9765 |
| No log | 3.1613 | 196 | 0.8554 | 0.4801 | 0.8554 | 0.9249 |
| No log | 3.1935 | 198 | 0.9323 | 0.4843 | 0.9323 | 0.9655 |
| No log | 3.2258 | 200 | 1.2338 | 0.4150 | 1.2338 | 1.1108 |
| No log | 3.2581 | 202 | 1.3676 | 0.3708 | 1.3676 | 1.1694 |
| No log | 3.2903 | 204 | 1.1803 | 0.4073 | 1.1803 | 1.0864 |
| No log | 3.3226 | 206 | 1.0139 | 0.4889 | 1.0139 | 1.0069 |
| No log | 3.3548 | 208 | 0.8879 | 0.4961 | 0.8879 | 0.9423 |
| No log | 3.3871 | 210 | 0.8611 | 0.4992 | 0.8611 | 0.9280 |
| No log | 3.4194 | 212 | 0.9860 | 0.4830 | 0.9860 | 0.9930 |
| No log | 3.4516 | 214 | 1.2107 | 0.3933 | 1.2107 | 1.1003 |
| No log | 3.4839 | 216 | 1.1509 | 0.3917 | 1.1509 | 1.0728 |
| No log | 3.5161 | 218 | 0.9502 | 0.4402 | 0.9502 | 0.9748 |
| No log | 3.5484 | 220 | 0.9275 | 0.4815 | 0.9275 | 0.9631 |
| No log | 3.5806 | 222 | 0.9161 | 0.4836 | 0.9161 | 0.9571 |
| No log | 3.6129 | 224 | 0.8869 | 0.4778 | 0.8869 | 0.9417 |
| No log | 3.6452 | 226 | 0.9886 | 0.4630 | 0.9886 | 0.9943 |
| No log | 3.6774 | 228 | 1.0696 | 0.4338 | 1.0696 | 1.0342 |
| No log | 3.7097 | 230 | 1.0419 | 0.4181 | 1.0419 | 1.0207 |
| No log | 3.7419 | 232 | 0.8395 | 0.4755 | 0.8395 | 0.9163 |
| No log | 3.7742 | 234 | 0.7082 | 0.5587 | 0.7082 | 0.8416 |
| No log | 3.8065 | 236 | 0.7574 | 0.5332 | 0.7574 | 0.8703 |
| No log | 3.8387 | 238 | 1.0119 | 0.4401 | 1.0119 | 1.0059 |
| No log | 3.8710 | 240 | 1.4882 | 0.3616 | 1.4882 | 1.2199 |
| No log | 3.9032 | 242 | 1.7255 | 0.3157 | 1.7255 | 1.3136 |
| No log | 3.9355 | 244 | 1.6125 | 0.3356 | 1.6125 | 1.2698 |
| No log | 3.9677 | 246 | 1.2321 | 0.3811 | 1.2321 | 1.1100 |
| No log | 4.0 | 248 | 0.9612 | 0.4111 | 0.9612 | 0.9804 |
| No log | 4.0323 | 250 | 0.7816 | 0.4222 | 0.7816 | 0.8841 |
| No log | 4.0645 | 252 | 0.7732 | 0.4376 | 0.7732 | 0.8793 |
| No log | 4.0968 | 254 | 0.8567 | 0.4755 | 0.8567 | 0.9256 |
| No log | 4.1290 | 256 | 1.0909 | 0.4355 | 1.0909 | 1.0445 |
| No log | 4.1613 | 258 | 1.4847 | 0.3567 | 1.4847 | 1.2185 |
| No log | 4.1935 | 260 | 1.6816 | 0.3242 | 1.6816 | 1.2968 |
| No log | 4.2258 | 262 | 1.5617 | 0.3273 | 1.5617 | 1.2497 |
| No log | 4.2581 | 264 | 1.2630 | 0.3701 | 1.2630 | 1.1238 |
| No log | 4.2903 | 266 | 0.8838 | 0.4446 | 0.8838 | 0.9401 |
| No log | 4.3226 | 268 | 0.6541 | 0.5094 | 0.6541 | 0.8088 |
| No log | 4.3548 | 270 | 0.5825 | 0.5543 | 0.5825 | 0.7632 |
| No log | 4.3871 | 272 | 0.6039 | 0.5221 | 0.6039 | 0.7771 |
| No log | 4.4194 | 274 | 0.7269 | 0.4822 | 0.7269 | 0.8526 |
| No log | 4.4516 | 276 | 0.8176 | 0.4101 | 0.8176 | 0.9042 |
| No log | 4.4839 | 278 | 0.8126 | 0.3958 | 0.8126 | 0.9014 |
| No log | 4.5161 | 280 | 0.7882 | 0.4319 | 0.7882 | 0.8878 |
| No log | 4.5484 | 282 | 0.7079 | 0.4945 | 0.7079 | 0.8413 |
| No log | 4.5806 | 284 | 0.6389 | 0.5229 | 0.6389 | 0.7993 |
| No log | 4.6129 | 286 | 0.6510 | 0.5234 | 0.6510 | 0.8069 |
| No log | 4.6452 | 288 | 0.7554 | 0.4855 | 0.7554 | 0.8692 |
| No log | 4.6774 | 290 | 0.9689 | 0.4328 | 0.9689 | 0.9843 |
| No log | 4.7097 | 292 | 1.1177 | 0.4442 | 1.1177 | 1.0572 |
| No log | 4.7419 | 294 | 1.0827 | 0.4503 | 1.0827 | 1.0405 |
| No log | 4.7742 | 296 | 0.9312 | 0.4535 | 0.9312 | 0.9650 |
| No log | 4.8065 | 298 | 0.8199 | 0.4447 | 0.8199 | 0.9055 |
| No log | 4.8387 | 300 | 0.8106 | 0.4855 | 0.8106 | 0.9004 |
| No log | 4.8710 | 302 | 0.8932 | 0.4744 | 0.8932 | 0.9451 |
| No log | 4.9032 | 304 | 0.9452 | 0.4676 | 0.9452 | 0.9722 |
| No log | 4.9355 | 306 | 0.9936 | 0.4477 | 0.9936 | 0.9968 |
| No log | 4.9677 | 308 | 1.1513 | 0.4140 | 1.1513 | 1.0730 |
| No log | 5.0 | 310 | 1.2379 | 0.3884 | 1.2379 | 1.1126 |
| No log | 5.0323 | 312 | 1.1884 | 0.3711 | 1.1884 | 1.0902 |
| No log | 5.0645 | 314 | 1.0097 | 0.4464 | 1.0097 | 1.0048 |
| No log | 5.0968 | 316 | 0.8064 | 0.4527 | 0.8064 | 0.8980 |
| No log | 5.1290 | 318 | 0.7449 | 0.4983 | 0.7449 | 0.8631 |
| No log | 5.1613 | 320 | 0.7169 | 0.5284 | 0.7169 | 0.8467 |
| No log | 5.1935 | 322 | 0.7698 | 0.4648 | 0.7698 | 0.8774 |
| No log | 5.2258 | 324 | 0.8879 | 0.4611 | 0.8879 | 0.9423 |
| No log | 5.2581 | 326 | 1.1493 | 0.3838 | 1.1493 | 1.0720 |
| No log | 5.2903 | 328 | 1.2928 | 0.3622 | 1.2928 | 1.1370 |
| No log | 5.3226 | 330 | 1.2230 | 0.3527 | 1.2230 | 1.1059 |
| No log | 5.3548 | 332 | 1.0375 | 0.4178 | 1.0375 | 1.0186 |
| No log | 5.3871 | 334 | 0.8942 | 0.4529 | 0.8942 | 0.9456 |
| No log | 5.4194 | 336 | 0.8032 | 0.4642 | 0.8032 | 0.8962 |
| No log | 5.4516 | 338 | 0.7996 | 0.4755 | 0.7996 | 0.8942 |
| No log | 5.4839 | 340 | 0.8117 | 0.4690 | 0.8117 | 0.9009 |
| No log | 5.5161 | 342 | 0.7879 | 0.4803 | 0.7879 | 0.8876 |
| No log | 5.5484 | 344 | 0.8580 | 0.4591 | 0.8580 | 0.9263 |
| No log | 5.5806 | 346 | 0.9461 | 0.4167 | 0.9461 | 0.9727 |
| No log | 5.6129 | 348 | 0.8982 | 0.4240 | 0.8982 | 0.9478 |
| No log | 5.6452 | 350 | 0.8700 | 0.4240 | 0.8700 | 0.9327 |
| No log | 5.6774 | 352 | 0.8365 | 0.4521 | 0.8365 | 0.9146 |
| No log | 5.7097 | 354 | 0.8274 | 0.4334 | 0.8274 | 0.9096 |
| No log | 5.7419 | 356 | 0.7817 | 0.4979 | 0.7817 | 0.8841 |
| No log | 5.7742 | 358 | 0.8267 | 0.4478 | 0.8267 | 0.9092 |
| No log | 5.8065 | 360 | 0.9695 | 0.4313 | 0.9695 | 0.9846 |
| No log | 5.8387 | 362 | 1.1364 | 0.4140 | 1.1364 | 1.0660 |
| No log | 5.8710 | 364 | 1.2880 | 0.3945 | 1.2880 | 1.1349 |
| No log | 5.9032 | 366 | 1.2687 | 0.3887 | 1.2687 | 1.1264 |
| No log | 5.9355 | 368 | 1.1358 | 0.4118 | 1.1358 | 1.0657 |
| No log | 5.9677 | 370 | 1.0363 | 0.4404 | 1.0363 | 1.0180 |
| No log | 6.0 | 372 | 0.9847 | 0.4343 | 0.9847 | 0.9923 |
| No log | 6.0323 | 374 | 0.8951 | 0.4767 | 0.8951 | 0.9461 |
| No log | 6.0645 | 376 | 0.8984 | 0.4762 | 0.8984 | 0.9479 |
| No log | 6.0968 | 378 | 0.9846 | 0.4447 | 0.9846 | 0.9923 |
| No log | 6.1290 | 380 | 1.0865 | 0.3851 | 1.0865 | 1.0423 |
| No log | 6.1613 | 382 | 1.0803 | 0.3851 | 1.0803 | 1.0394 |
| No log | 6.1935 | 384 | 1.0014 | 0.4226 | 1.0014 | 1.0007 |
| No log | 6.2258 | 386 | 0.9505 | 0.4446 | 0.9505 | 0.9749 |
| No log | 6.2581 | 388 | 0.8663 | 0.4489 | 0.8663 | 0.9307 |
| No log | 6.2903 | 390 | 0.8690 | 0.4538 | 0.8690 | 0.9322 |
| No log | 6.3226 | 392 | 0.9094 | 0.4513 | 0.9094 | 0.9536 |
| No log | 6.3548 | 394 | 0.9599 | 0.4362 | 0.9599 | 0.9798 |
| No log | 6.3871 | 396 | 0.9735 | 0.4362 | 0.9735 | 0.9867 |
| No log | 6.4194 | 398 | 0.9515 | 0.4429 | 0.9515 | 0.9754 |
| No log | 6.4516 | 400 | 0.9040 | 0.4313 | 0.9040 | 0.9508 |
| No log | 6.4839 | 402 | 0.8622 | 0.4315 | 0.8622 | 0.9285 |
| No log | 6.5161 | 404 | 0.7879 | 0.4621 | 0.7879 | 0.8876 |
| No log | 6.5484 | 406 | 0.7740 | 0.4639 | 0.7740 | 0.8798 |
| No log | 6.5806 | 408 | 0.7589 | 0.4601 | 0.7589 | 0.8711 |
| No log | 6.6129 | 410 | 0.8063 | 0.4527 | 0.8063 | 0.8979 |
| No log | 6.6452 | 412 | 0.8600 | 0.4443 | 0.8600 | 0.9274 |
| No log | 6.6774 | 414 | 0.9527 | 0.4226 | 0.9527 | 0.9761 |
| No log | 6.7097 | 416 | 0.9771 | 0.4226 | 0.9771 | 0.9885 |
| No log | 6.7419 | 418 | 0.9760 | 0.4226 | 0.9760 | 0.9879 |
| No log | 6.7742 | 420 | 0.9861 | 0.4226 | 0.9861 | 0.9930 |
| No log | 6.8065 | 422 | 0.9524 | 0.4474 | 0.9524 | 0.9759 |
| No log | 6.8387 | 424 | 0.8905 | 0.4370 | 0.8905 | 0.9437 |
| No log | 6.8710 | 426 | 0.8125 | 0.4557 | 0.8125 | 0.9014 |
| No log | 6.9032 | 428 | 0.8081 | 0.4557 | 0.8081 | 0.8989 |
| No log | 6.9355 | 430 | 0.8656 | 0.4463 | 0.8656 | 0.9304 |
| No log | 6.9677 | 432 | 0.8830 | 0.4544 | 0.8830 | 0.9397 |
| No log | 7.0 | 434 | 0.9102 | 0.4460 | 0.9102 | 0.9540 |
| No log | 7.0323 | 436 | 0.9205 | 0.4186 | 0.9205 | 0.9594 |
| No log | 7.0645 | 438 | 0.9314 | 0.4186 | 0.9314 | 0.9651 |
| No log | 7.0968 | 440 | 0.9372 | 0.4112 | 0.9372 | 0.9681 |
| No log | 7.1290 | 442 | 0.9001 | 0.4186 | 0.9001 | 0.9487 |
| No log | 7.1613 | 444 | 0.9105 | 0.4112 | 0.9105 | 0.9542 |
| No log | 7.1935 | 446 | 0.9591 | 0.4112 | 0.9591 | 0.9793 |
| No log | 7.2258 | 448 | 1.0179 | 0.4189 | 1.0179 | 1.0089 |
| No log | 7.2581 | 450 | 1.0388 | 0.4068 | 1.0388 | 1.0192 |
| No log | 7.2903 | 452 | 0.9777 | 0.4189 | 0.9777 | 0.9888 |
| No log | 7.3226 | 454 | 0.8983 | 0.4641 | 0.8983 | 0.9478 |
| No log | 7.3548 | 456 | 0.8734 | 0.4773 | 0.8734 | 0.9345 |
| No log | 7.3871 | 458 | 0.8336 | 0.4715 | 0.8336 | 0.9130 |
| No log | 7.4194 | 460 | 0.8073 | 0.4773 | 0.8073 | 0.8985 |
| No log | 7.4516 | 462 | 0.7863 | 0.4834 | 0.7863 | 0.8867 |
| No log | 7.4839 | 464 | 0.7252 | 0.4851 | 0.7252 | 0.8516 |
| No log | 7.5161 | 466 | 0.6855 | 0.5009 | 0.6855 | 0.8280 |
| No log | 7.5484 | 468 | 0.6872 | 0.4959 | 0.6872 | 0.8290 |
| No log | 7.5806 | 470 | 0.7134 | 0.4858 | 0.7134 | 0.8446 |
| No log | 7.6129 | 472 | 0.7400 | 0.4858 | 0.7400 | 0.8602 |
| No log | 7.6452 | 474 | 0.7756 | 0.4705 | 0.7756 | 0.8807 |
| No log | 7.6774 | 476 | 0.7975 | 0.4749 | 0.7975 | 0.8930 |
| No log | 7.7097 | 478 | 0.7743 | 0.4565 | 0.7743 | 0.8799 |
| No log | 7.7419 | 480 | 0.7578 | 0.4844 | 0.7578 | 0.8705 |
| No log | 7.7742 | 482 | 0.7230 | 0.4619 | 0.7230 | 0.8503 |
| No log | 7.8065 | 484 | 0.7198 | 0.4608 | 0.7198 | 0.8484 |
| No log | 7.8387 | 486 | 0.7347 | 0.4692 | 0.7347 | 0.8571 |
| No log | 7.8710 | 488 | 0.7733 | 0.4546 | 0.7733 | 0.8794 |
| No log | 7.9032 | 490 | 0.8315 | 0.4705 | 0.8315 | 0.9119 |
| No log | 7.9355 | 492 | 0.9086 | 0.4562 | 0.9086 | 0.9532 |
| No log | 7.9677 | 494 | 0.9578 | 0.4399 | 0.9578 | 0.9786 |
| No log | 8.0 | 496 | 0.9806 | 0.4447 | 0.9806 | 0.9902 |
| No log | 8.0323 | 498 | 0.9575 | 0.4398 | 0.9575 | 0.9785 |
| 0.4826 | 8.0645 | 500 | 0.9004 | 0.4628 | 0.9004 | 0.9489 |
| 0.4826 | 8.0968 | 502 | 0.8775 | 0.4773 | 0.8775 | 0.9368 |
| 0.4826 | 8.1290 | 504 | 0.8589 | 0.4839 | 0.8589 | 0.9268 |
| 0.4826 | 8.1613 | 506 | 0.8408 | 0.4767 | 0.8408 | 0.9169 |
| 0.4826 | 8.1935 | 508 | 0.8347 | 0.4822 | 0.8347 | 0.9136 |
| 0.4826 | 8.2258 | 510 | 0.8083 | 0.4718 | 0.8083 | 0.8990 |
| 0.4826 | 8.2581 | 512 | 0.7973 | 0.4551 | 0.7973 | 0.8929 |
| 0.4826 | 8.2903 | 514 | 0.8097 | 0.4730 | 0.8097 | 0.8998 |
| 0.4826 | 8.3226 | 516 | 0.8472 | 0.4832 | 0.8472 | 0.9205 |
| 0.4826 | 8.3548 | 518 | 0.8991 | 0.4551 | 0.8991 | 0.9482 |
| 0.4826 | 8.3871 | 520 | 0.9341 | 0.4541 | 0.9341 | 0.9665 |
| 0.4826 | 8.4194 | 522 | 0.9791 | 0.4241 | 0.9791 | 0.9895 |
| 0.4826 | 8.4516 | 524 | 1.0130 | 0.4241 | 1.0130 | 1.0065 |
| 0.4826 | 8.4839 | 526 | 1.0502 | 0.4241 | 1.0502 | 1.0248 |
| 0.4826 | 8.5161 | 528 | 1.0443 | 0.4241 | 1.0443 | 1.0219 |
| 0.4826 | 8.5484 | 530 | 1.0247 | 0.4312 | 1.0247 | 1.0123 |
| 0.4826 | 8.5806 | 532 | 0.9786 | 0.4535 | 0.9786 | 0.9892 |
| 0.4826 | 8.6129 | 534 | 0.9279 | 0.4573 | 0.9279 | 0.9633 |
| 0.4826 | 8.6452 | 536 | 0.9165 | 0.4573 | 0.9165 | 0.9573 |
| 0.4826 | 8.6774 | 538 | 0.9105 | 0.4573 | 0.9105 | 0.9542 |
| 0.4826 | 8.7097 | 540 | 0.8994 | 0.4641 | 0.8994 | 0.9484 |
| 0.4826 | 8.7419 | 542 | 0.8947 | 0.4836 | 0.8947 | 0.9459 |
| 0.4826 | 8.7742 | 544 | 0.9041 | 0.4641 | 0.9041 | 0.9509 |
| 0.4826 | 8.8065 | 546 | 0.9375 | 0.4729 | 0.9375 | 0.9682 |
| 0.4826 | 8.8387 | 548 | 0.9831 | 0.4521 | 0.9831 | 0.9915 |
| 0.4826 | 8.8710 | 550 | 0.9941 | 0.4521 | 0.9941 | 0.9971 |
| 0.4826 | 8.9032 | 552 | 0.9920 | 0.4521 | 0.9920 | 0.9960 |
| 0.4826 | 8.9355 | 554 | 0.9686 | 0.4521 | 0.9686 | 0.9842 |
| 0.4826 | 8.9677 | 556 | 0.9556 | 0.4712 | 0.9556 | 0.9775 |
| 0.4826 | 9.0 | 558 | 0.9322 | 0.4918 | 0.9322 | 0.9655 |
| 0.4826 | 9.0323 | 560 | 0.9039 | 0.4815 | 0.9039 | 0.9508 |
| 0.4826 | 9.0645 | 562 | 0.8876 | 0.4815 | 0.8876 | 0.9421 |
| 0.4826 | 9.0968 | 564 | 0.8681 | 0.4773 | 0.8681 | 0.9317 |
| 0.4826 | 9.1290 | 566 | 0.8702 | 0.4710 | 0.8702 | 0.9328 |
| 0.4826 | 9.1613 | 568 | 0.8909 | 0.4698 | 0.8909 | 0.9439 |
| 0.4826 | 9.1935 | 570 | 0.9151 | 0.4745 | 0.9151 | 0.9566 |
| 0.4826 | 9.2258 | 572 | 0.9239 | 0.4745 | 0.9239 | 0.9612 |
| 0.4826 | 9.2581 | 574 | 0.9259 | 0.4745 | 0.9259 | 0.9622 |
| 0.4826 | 9.2903 | 576 | 0.9388 | 0.4860 | 0.9388 | 0.9689 |
| 0.4826 | 9.3226 | 578 | 0.9467 | 0.4853 | 0.9467 | 0.9730 |
| 0.4826 | 9.3548 | 580 | 0.9506 | 0.4853 | 0.9506 | 0.9750 |
| 0.4826 | 9.3871 | 582 | 0.9393 | 0.4860 | 0.9393 | 0.9692 |
| 0.4826 | 9.4194 | 584 | 0.9223 | 0.4745 | 0.9223 | 0.9604 |
| 0.4826 | 9.4516 | 586 | 0.9061 | 0.4693 | 0.9061 | 0.9519 |
| 0.4826 | 9.4839 | 588 | 0.9026 | 0.4693 | 0.9026 | 0.9501 |
| 0.4826 | 9.5161 | 590 | 0.9067 | 0.4693 | 0.9067 | 0.9522 |
| 0.4826 | 9.5484 | 592 | 0.9039 | 0.4693 | 0.9039 | 0.9508 |
| 0.4826 | 9.5806 | 594 | 0.9033 | 0.4745 | 0.9033 | 0.9504 |
| 0.4826 | 9.6129 | 596 | 0.9031 | 0.4745 | 0.9031 | 0.9503 |
| 0.4826 | 9.6452 | 598 | 0.9085 | 0.4745 | 0.9085 | 0.9532 |
| 0.4826 | 9.6774 | 600 | 0.9175 | 0.4611 | 0.9175 | 0.9579 |
| 0.4826 | 9.7097 | 602 | 0.9252 | 0.4724 | 0.9252 | 0.9619 |
| 0.4826 | 9.7419 | 604 | 0.9310 | 0.4724 | 0.9310 | 0.9649 |
| 0.4826 | 9.7742 | 606 | 0.9366 | 0.4775 | 0.9366 | 0.9678 |
| 0.4826 | 9.8065 | 608 | 0.9363 | 0.4775 | 0.9363 | 0.9676 |
| 0.4826 | 9.8387 | 610 | 0.9335 | 0.4853 | 0.9335 | 0.9662 |
| 0.4826 | 9.8710 | 612 | 0.9321 | 0.4853 | 0.9321 | 0.9655 |
| 0.4826 | 9.9032 | 614 | 0.9327 | 0.4853 | 0.9327 | 0.9657 |
| 0.4826 | 9.9355 | 616 | 0.9323 | 0.4853 | 0.9323 | 0.9655 |
| 0.4826 | 9.9677 | 618 | 0.9329 | 0.4853 | 0.9329 | 0.9659 |
| 0.4826 | 10.0 | 620 | 0.9337 | 0.4853 | 0.9337 | 0.9663 |
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/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k12_task2_organization
Base model
aubmindlab/bert-base-arabertv02