Instructions to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k11_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: 0.9263
- Qwk: 0.4916
- Mse: 0.9263
- Rmse: 0.9624
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 | 3.9146 | -0.0043 | 3.9146 | 1.9785 |
| No log | 0.0645 | 4 | 1.7974 | 0.1241 | 1.7974 | 1.3407 |
| No log | 0.0968 | 6 | 0.9618 | 0.0460 | 0.9618 | 0.9807 |
| No log | 0.1290 | 8 | 0.7342 | 0.2152 | 0.7342 | 0.8568 |
| No log | 0.1613 | 10 | 0.7470 | 0.1960 | 0.7470 | 0.8643 |
| No log | 0.1935 | 12 | 0.7475 | 0.1204 | 0.7475 | 0.8646 |
| No log | 0.2258 | 14 | 0.8503 | 0.1658 | 0.8503 | 0.9221 |
| No log | 0.2581 | 16 | 1.2315 | 0.0504 | 1.2315 | 1.1097 |
| No log | 0.2903 | 18 | 1.2522 | 0.0402 | 1.2522 | 1.1190 |
| No log | 0.3226 | 20 | 1.2154 | 0.0330 | 1.2154 | 1.1024 |
| No log | 0.3548 | 22 | 0.8568 | 0.2333 | 0.8568 | 0.9256 |
| No log | 0.3871 | 24 | 0.6074 | 0.2561 | 0.6074 | 0.7794 |
| No log | 0.4194 | 26 | 0.6224 | 0.2730 | 0.6224 | 0.7889 |
| No log | 0.4516 | 28 | 0.5926 | 0.3252 | 0.5926 | 0.7698 |
| No log | 0.4839 | 30 | 0.5781 | 0.3585 | 0.5781 | 0.7603 |
| No log | 0.5161 | 32 | 0.5819 | 0.4205 | 0.5819 | 0.7628 |
| No log | 0.5484 | 34 | 0.6017 | 0.4802 | 0.6017 | 0.7757 |
| No log | 0.5806 | 36 | 0.8520 | 0.4165 | 0.8520 | 0.9230 |
| No log | 0.6129 | 38 | 1.3702 | 0.2688 | 1.3702 | 1.1706 |
| No log | 0.6452 | 40 | 1.1092 | 0.3532 | 1.1092 | 1.0532 |
| No log | 0.6774 | 42 | 0.6862 | 0.5748 | 0.6862 | 0.8284 |
| No log | 0.7097 | 44 | 0.8942 | 0.4724 | 0.8942 | 0.9456 |
| No log | 0.7419 | 46 | 0.9117 | 0.4731 | 0.9117 | 0.9548 |
| No log | 0.7742 | 48 | 0.7124 | 0.5587 | 0.7124 | 0.8440 |
| No log | 0.8065 | 50 | 0.6809 | 0.5566 | 0.6809 | 0.8252 |
| No log | 0.8387 | 52 | 0.7664 | 0.4192 | 0.7664 | 0.8754 |
| No log | 0.8710 | 54 | 0.6342 | 0.4779 | 0.6342 | 0.7964 |
| No log | 0.9032 | 56 | 0.5958 | 0.5198 | 0.5958 | 0.7719 |
| No log | 0.9355 | 58 | 0.7157 | 0.4833 | 0.7157 | 0.8460 |
| No log | 0.9677 | 60 | 0.7100 | 0.4833 | 0.7100 | 0.8426 |
| No log | 1.0 | 62 | 0.7684 | 0.4532 | 0.7684 | 0.8766 |
| No log | 1.0323 | 64 | 0.7235 | 0.4773 | 0.7235 | 0.8506 |
| No log | 1.0645 | 66 | 0.5840 | 0.5596 | 0.5840 | 0.7642 |
| No log | 1.0968 | 68 | 0.6998 | 0.5368 | 0.6998 | 0.8365 |
| No log | 1.1290 | 70 | 0.9007 | 0.5076 | 0.9007 | 0.9491 |
| No log | 1.1613 | 72 | 0.8172 | 0.5360 | 0.8172 | 0.9040 |
| No log | 1.1935 | 74 | 0.6905 | 0.5909 | 0.6905 | 0.8310 |
| No log | 1.2258 | 76 | 0.5983 | 0.5746 | 0.5983 | 0.7735 |
| No log | 1.2581 | 78 | 0.6035 | 0.5809 | 0.6035 | 0.7769 |
| No log | 1.2903 | 80 | 0.5885 | 0.5720 | 0.5885 | 0.7671 |
| No log | 1.3226 | 82 | 0.8370 | 0.5131 | 0.8370 | 0.9149 |
| No log | 1.3548 | 84 | 1.2842 | 0.4151 | 1.2842 | 1.1332 |
| No log | 1.3871 | 86 | 1.4499 | 0.3649 | 1.4499 | 1.2041 |
| No log | 1.4194 | 88 | 1.1525 | 0.4579 | 1.1525 | 1.0735 |
| No log | 1.4516 | 90 | 0.7780 | 0.5682 | 0.7780 | 0.8820 |
| No log | 1.4839 | 92 | 0.7382 | 0.5428 | 0.7382 | 0.8592 |
| No log | 1.5161 | 94 | 0.7577 | 0.5133 | 0.7577 | 0.8705 |
| No log | 1.5484 | 96 | 0.7874 | 0.5208 | 0.7874 | 0.8873 |
| No log | 1.5806 | 98 | 0.7436 | 0.5517 | 0.7436 | 0.8623 |
| No log | 1.6129 | 100 | 0.8143 | 0.5430 | 0.8143 | 0.9024 |
| No log | 1.6452 | 102 | 0.9681 | 0.4753 | 0.9681 | 0.9839 |
| No log | 1.6774 | 104 | 0.9547 | 0.4918 | 0.9547 | 0.9771 |
| No log | 1.7097 | 106 | 0.8842 | 0.5125 | 0.8842 | 0.9403 |
| No log | 1.7419 | 108 | 0.7090 | 0.4761 | 0.7090 | 0.8420 |
| No log | 1.7742 | 110 | 0.6955 | 0.5436 | 0.6955 | 0.8339 |
| No log | 1.8065 | 112 | 0.7379 | 0.5700 | 0.7379 | 0.8590 |
| No log | 1.8387 | 114 | 0.8268 | 0.5585 | 0.8268 | 0.9093 |
| No log | 1.8710 | 116 | 0.9422 | 0.5371 | 0.9422 | 0.9707 |
| No log | 1.9032 | 118 | 1.0495 | 0.4664 | 1.0495 | 1.0244 |
| No log | 1.9355 | 120 | 1.0390 | 0.5238 | 1.0390 | 1.0193 |
| No log | 1.9677 | 122 | 1.0504 | 0.5298 | 1.0504 | 1.0249 |
| No log | 2.0 | 124 | 0.9698 | 0.5472 | 0.9698 | 0.9848 |
| No log | 2.0323 | 126 | 0.8365 | 0.5481 | 0.8365 | 0.9146 |
| No log | 2.0645 | 128 | 0.8312 | 0.5199 | 0.8312 | 0.9117 |
| No log | 2.0968 | 130 | 0.8946 | 0.5451 | 0.8946 | 0.9459 |
| No log | 2.1290 | 132 | 1.0458 | 0.4979 | 1.0458 | 1.0226 |
| No log | 2.1613 | 134 | 1.1078 | 0.4766 | 1.1078 | 1.0525 |
| No log | 2.1935 | 136 | 1.1902 | 0.4713 | 1.1902 | 1.0910 |
| No log | 2.2258 | 138 | 1.2877 | 0.4187 | 1.2877 | 1.1348 |
| No log | 2.2581 | 140 | 1.2357 | 0.4487 | 1.2357 | 1.1116 |
| No log | 2.2903 | 142 | 1.0638 | 0.4565 | 1.0638 | 1.0314 |
| No log | 2.3226 | 144 | 0.9300 | 0.4926 | 0.9300 | 0.9644 |
| No log | 2.3548 | 146 | 0.8766 | 0.4701 | 0.8766 | 0.9362 |
| No log | 2.3871 | 148 | 0.9046 | 0.4600 | 0.9046 | 0.9511 |
| No log | 2.4194 | 150 | 0.8473 | 0.4607 | 0.8473 | 0.9205 |
| No log | 2.4516 | 152 | 0.8085 | 0.4621 | 0.8085 | 0.8992 |
| No log | 2.4839 | 154 | 0.8168 | 0.4865 | 0.8168 | 0.9038 |
| No log | 2.5161 | 156 | 0.8872 | 0.4758 | 0.8872 | 0.9419 |
| No log | 2.5484 | 158 | 0.9220 | 0.4738 | 0.9220 | 0.9602 |
| No log | 2.5806 | 160 | 0.9481 | 0.4670 | 0.9481 | 0.9737 |
| No log | 2.6129 | 162 | 0.9759 | 0.4691 | 0.9759 | 0.9879 |
| No log | 2.6452 | 164 | 0.8349 | 0.4936 | 0.8349 | 0.9137 |
| No log | 2.6774 | 166 | 0.7491 | 0.4907 | 0.7491 | 0.8655 |
| No log | 2.7097 | 168 | 0.7813 | 0.5323 | 0.7813 | 0.8839 |
| No log | 2.7419 | 170 | 0.8659 | 0.4832 | 0.8659 | 0.9306 |
| No log | 2.7742 | 172 | 0.9421 | 0.4708 | 0.9421 | 0.9706 |
| No log | 2.8065 | 174 | 1.0250 | 0.4726 | 1.0250 | 1.0124 |
| No log | 2.8387 | 176 | 1.0552 | 0.4887 | 1.0552 | 1.0272 |
| No log | 2.8710 | 178 | 1.0466 | 0.4910 | 1.0466 | 1.0230 |
| No log | 2.9032 | 180 | 0.9093 | 0.4758 | 0.9093 | 0.9536 |
| No log | 2.9355 | 182 | 0.8104 | 0.4945 | 0.8104 | 0.9002 |
| No log | 2.9677 | 184 | 0.7599 | 0.5060 | 0.7599 | 0.8717 |
| No log | 3.0 | 186 | 0.8267 | 0.5206 | 0.8267 | 0.9092 |
| No log | 3.0323 | 188 | 0.8340 | 0.4920 | 0.8340 | 0.9132 |
| No log | 3.0645 | 190 | 0.9138 | 0.5021 | 0.9138 | 0.9559 |
| No log | 3.0968 | 192 | 1.1733 | 0.4617 | 1.1733 | 1.0832 |
| No log | 3.1290 | 194 | 1.4156 | 0.4130 | 1.4156 | 1.1898 |
| No log | 3.1613 | 196 | 1.3316 | 0.4469 | 1.3316 | 1.1539 |
| No log | 3.1935 | 198 | 1.1012 | 0.4810 | 1.1012 | 1.0494 |
| No log | 3.2258 | 200 | 0.9514 | 0.4794 | 0.9514 | 0.9754 |
| No log | 3.2581 | 202 | 0.9564 | 0.4722 | 0.9564 | 0.9780 |
| No log | 3.2903 | 204 | 0.8733 | 0.4686 | 0.8733 | 0.9345 |
| No log | 3.3226 | 206 | 0.7983 | 0.5068 | 0.7983 | 0.8935 |
| No log | 3.3548 | 208 | 0.8665 | 0.4509 | 0.8665 | 0.9309 |
| No log | 3.3871 | 210 | 1.0436 | 0.3869 | 1.0436 | 1.0216 |
| No log | 3.4194 | 212 | 1.0512 | 0.3869 | 1.0512 | 1.0253 |
| No log | 3.4516 | 214 | 0.9046 | 0.4319 | 0.9046 | 0.9511 |
| No log | 3.4839 | 216 | 0.8133 | 0.4886 | 0.8133 | 0.9019 |
| No log | 3.5161 | 218 | 0.8176 | 0.4844 | 0.8176 | 0.9042 |
| No log | 3.5484 | 220 | 0.8832 | 0.4410 | 0.8832 | 0.9398 |
| No log | 3.5806 | 222 | 0.9289 | 0.4773 | 0.9289 | 0.9638 |
| No log | 3.6129 | 224 | 0.9391 | 0.4692 | 0.9391 | 0.9691 |
| No log | 3.6452 | 226 | 0.9972 | 0.4870 | 0.9972 | 0.9986 |
| No log | 3.6774 | 228 | 1.0274 | 0.4441 | 1.0274 | 1.0136 |
| No log | 3.7097 | 230 | 0.9847 | 0.4253 | 0.9847 | 0.9923 |
| No log | 3.7419 | 232 | 0.9076 | 0.4370 | 0.9076 | 0.9527 |
| No log | 3.7742 | 234 | 0.7681 | 0.4722 | 0.7681 | 0.8764 |
| No log | 3.8065 | 236 | 0.7396 | 0.5537 | 0.7396 | 0.8600 |
| No log | 3.8387 | 238 | 0.7799 | 0.4997 | 0.7799 | 0.8831 |
| No log | 3.8710 | 240 | 0.8721 | 0.4674 | 0.8721 | 0.9339 |
| No log | 3.9032 | 242 | 0.9896 | 0.4529 | 0.9896 | 0.9948 |
| No log | 3.9355 | 244 | 1.1094 | 0.4300 | 1.1094 | 1.0533 |
| No log | 3.9677 | 246 | 1.1458 | 0.4355 | 1.1458 | 1.0704 |
| No log | 4.0 | 248 | 1.0868 | 0.4568 | 1.0868 | 1.0425 |
| No log | 4.0323 | 250 | 1.0098 | 0.4568 | 1.0098 | 1.0049 |
| No log | 4.0645 | 252 | 0.8921 | 0.4652 | 0.8921 | 0.9445 |
| No log | 4.0968 | 254 | 0.8159 | 0.4951 | 0.8159 | 0.9032 |
| No log | 4.1290 | 256 | 0.8451 | 0.4735 | 0.8451 | 0.9193 |
| No log | 4.1613 | 258 | 1.0030 | 0.4040 | 1.0030 | 1.0015 |
| No log | 4.1935 | 260 | 1.0654 | 0.4355 | 1.0654 | 1.0322 |
| No log | 4.2258 | 262 | 1.0553 | 0.4566 | 1.0553 | 1.0273 |
| No log | 4.2581 | 264 | 0.9187 | 0.4700 | 0.9187 | 0.9585 |
| No log | 4.2903 | 266 | 0.8060 | 0.4983 | 0.8060 | 0.8978 |
| No log | 4.3226 | 268 | 0.7857 | 0.5301 | 0.7857 | 0.8864 |
| No log | 4.3548 | 270 | 0.8052 | 0.5105 | 0.8052 | 0.8973 |
| No log | 4.3871 | 272 | 0.9095 | 0.5101 | 0.9095 | 0.9537 |
| No log | 4.4194 | 274 | 1.0784 | 0.4533 | 1.0784 | 1.0384 |
| No log | 4.4516 | 276 | 1.0681 | 0.4640 | 1.0681 | 1.0335 |
| No log | 4.4839 | 278 | 0.9508 | 0.5009 | 0.9508 | 0.9751 |
| No log | 4.5161 | 280 | 0.8552 | 0.5109 | 0.8552 | 0.9248 |
| No log | 4.5484 | 282 | 0.8360 | 0.5316 | 0.8360 | 0.9143 |
| No log | 4.5806 | 284 | 0.8152 | 0.5393 | 0.8152 | 0.9029 |
| No log | 4.6129 | 286 | 0.8133 | 0.4693 | 0.8133 | 0.9018 |
| No log | 4.6452 | 288 | 0.8318 | 0.5015 | 0.8318 | 0.9120 |
| No log | 4.6774 | 290 | 0.9374 | 0.4643 | 0.9374 | 0.9682 |
| No log | 4.7097 | 292 | 1.0530 | 0.4498 | 1.0530 | 1.0262 |
| No log | 4.7419 | 294 | 1.2051 | 0.4084 | 1.2051 | 1.0978 |
| No log | 4.7742 | 296 | 1.1914 | 0.4099 | 1.1914 | 1.0915 |
| No log | 4.8065 | 298 | 1.0769 | 0.4615 | 1.0769 | 1.0377 |
| No log | 4.8387 | 300 | 0.9451 | 0.4749 | 0.9451 | 0.9722 |
| No log | 4.8710 | 302 | 0.9227 | 0.4824 | 0.9227 | 0.9606 |
| No log | 4.9032 | 304 | 0.9298 | 0.4665 | 0.9298 | 0.9643 |
| No log | 4.9355 | 306 | 0.9441 | 0.4863 | 0.9441 | 0.9717 |
| No log | 4.9677 | 308 | 0.9336 | 0.4805 | 0.9336 | 0.9662 |
| No log | 5.0 | 310 | 0.9183 | 0.4800 | 0.9183 | 0.9583 |
| No log | 5.0323 | 312 | 0.9064 | 0.4995 | 0.9064 | 0.9520 |
| No log | 5.0645 | 314 | 0.8908 | 0.4842 | 0.8908 | 0.9438 |
| No log | 5.0968 | 316 | 0.8886 | 0.4968 | 0.8886 | 0.9427 |
| No log | 5.1290 | 318 | 0.8807 | 0.5025 | 0.8807 | 0.9384 |
| No log | 5.1613 | 320 | 0.8780 | 0.4983 | 0.8780 | 0.9370 |
| No log | 5.1935 | 322 | 0.8638 | 0.5129 | 0.8638 | 0.9294 |
| No log | 5.2258 | 324 | 0.8616 | 0.5076 | 0.8616 | 0.9282 |
| No log | 5.2581 | 326 | 0.8401 | 0.5155 | 0.8401 | 0.9166 |
| No log | 5.2903 | 328 | 0.8347 | 0.5146 | 0.8347 | 0.9136 |
| No log | 5.3226 | 330 | 0.8390 | 0.5179 | 0.8390 | 0.9160 |
| No log | 5.3548 | 332 | 0.8511 | 0.4920 | 0.8511 | 0.9226 |
| No log | 5.3871 | 334 | 0.8726 | 0.5172 | 0.8726 | 0.9341 |
| No log | 5.4194 | 336 | 0.8949 | 0.5039 | 0.8949 | 0.9460 |
| No log | 5.4516 | 338 | 0.9393 | 0.4881 | 0.9393 | 0.9692 |
| No log | 5.4839 | 340 | 1.0551 | 0.4739 | 1.0551 | 1.0272 |
| No log | 5.5161 | 342 | 1.2105 | 0.4365 | 1.2105 | 1.1002 |
| No log | 5.5484 | 344 | 1.2005 | 0.4519 | 1.2005 | 1.0957 |
| No log | 5.5806 | 346 | 1.0753 | 0.4842 | 1.0753 | 1.0370 |
| No log | 5.6129 | 348 | 0.9371 | 0.5058 | 0.9371 | 0.9680 |
| No log | 5.6452 | 350 | 0.9052 | 0.4485 | 0.9052 | 0.9514 |
| No log | 5.6774 | 352 | 0.9028 | 0.4516 | 0.9028 | 0.9501 |
| No log | 5.7097 | 354 | 0.9308 | 0.5 | 0.9308 | 0.9648 |
| No log | 5.7419 | 356 | 1.0002 | 0.5109 | 1.0002 | 1.0001 |
| No log | 5.7742 | 358 | 1.0907 | 0.4389 | 1.0907 | 1.0444 |
| No log | 5.8065 | 360 | 1.0853 | 0.4360 | 1.0853 | 1.0418 |
| No log | 5.8387 | 362 | 1.0159 | 0.4414 | 1.0159 | 1.0079 |
| No log | 5.8710 | 364 | 0.9546 | 0.4855 | 0.9546 | 0.9770 |
| No log | 5.9032 | 366 | 0.8928 | 0.5061 | 0.8928 | 0.9449 |
| No log | 5.9355 | 368 | 0.8723 | 0.4995 | 0.8723 | 0.9340 |
| No log | 5.9677 | 370 | 0.8595 | 0.5018 | 0.8595 | 0.9271 |
| No log | 6.0 | 372 | 0.8876 | 0.4858 | 0.8876 | 0.9421 |
| No log | 6.0323 | 374 | 0.9459 | 0.4492 | 0.9459 | 0.9726 |
| No log | 6.0645 | 376 | 1.0349 | 0.4374 | 1.0349 | 1.0173 |
| No log | 6.0968 | 378 | 1.0967 | 0.4538 | 1.0967 | 1.0472 |
| No log | 6.1290 | 380 | 1.1076 | 0.4713 | 1.1076 | 1.0524 |
| No log | 6.1613 | 382 | 1.1720 | 0.4696 | 1.1720 | 1.0826 |
| No log | 6.1935 | 384 | 1.1879 | 0.4696 | 1.1879 | 1.0899 |
| No log | 6.2258 | 386 | 1.1052 | 0.4841 | 1.1052 | 1.0513 |
| No log | 6.2581 | 388 | 0.9844 | 0.4756 | 0.9844 | 0.9922 |
| No log | 6.2903 | 390 | 0.8633 | 0.5159 | 0.8633 | 0.9292 |
| No log | 6.3226 | 392 | 0.8368 | 0.5419 | 0.8368 | 0.9148 |
| No log | 6.3548 | 394 | 0.8740 | 0.5089 | 0.8740 | 0.9349 |
| No log | 6.3871 | 396 | 0.9598 | 0.4751 | 0.9598 | 0.9797 |
| No log | 6.4194 | 398 | 1.0033 | 0.4509 | 1.0033 | 1.0016 |
| No log | 6.4516 | 400 | 1.0409 | 0.4676 | 1.0409 | 1.0202 |
| No log | 6.4839 | 402 | 1.0066 | 0.4726 | 1.0066 | 1.0033 |
| No log | 6.5161 | 404 | 0.9364 | 0.5005 | 0.9364 | 0.9677 |
| No log | 6.5484 | 406 | 0.8813 | 0.5098 | 0.8813 | 0.9388 |
| No log | 6.5806 | 408 | 0.8808 | 0.5010 | 0.8808 | 0.9385 |
| No log | 6.6129 | 410 | 0.8722 | 0.5072 | 0.8722 | 0.9339 |
| No log | 6.6452 | 412 | 0.8759 | 0.5323 | 0.8759 | 0.9359 |
| No log | 6.6774 | 414 | 0.8825 | 0.5104 | 0.8825 | 0.9394 |
| No log | 6.7097 | 416 | 0.9237 | 0.4565 | 0.9237 | 0.9611 |
| No log | 6.7419 | 418 | 0.9538 | 0.4569 | 0.9538 | 0.9766 |
| No log | 6.7742 | 420 | 0.9043 | 0.4513 | 0.9043 | 0.9510 |
| No log | 6.8065 | 422 | 0.8483 | 0.4625 | 0.8483 | 0.9210 |
| No log | 6.8387 | 424 | 0.7926 | 0.4899 | 0.7926 | 0.8903 |
| No log | 6.8710 | 426 | 0.7913 | 0.4886 | 0.7913 | 0.8896 |
| No log | 6.9032 | 428 | 0.8203 | 0.4886 | 0.8203 | 0.9057 |
| No log | 6.9355 | 430 | 0.8218 | 0.4886 | 0.8218 | 0.9065 |
| No log | 6.9677 | 432 | 0.8082 | 0.4908 | 0.8082 | 0.8990 |
| No log | 7.0 | 434 | 0.7766 | 0.5272 | 0.7766 | 0.8813 |
| No log | 7.0323 | 436 | 0.7460 | 0.5684 | 0.7460 | 0.8637 |
| No log | 7.0645 | 438 | 0.7474 | 0.5617 | 0.7474 | 0.8645 |
| No log | 7.0968 | 440 | 0.7780 | 0.5276 | 0.7780 | 0.8820 |
| No log | 7.1290 | 442 | 0.8151 | 0.5211 | 0.8151 | 0.9028 |
| No log | 7.1613 | 444 | 0.8432 | 0.5196 | 0.8432 | 0.9183 |
| No log | 7.1935 | 446 | 0.8793 | 0.5032 | 0.8793 | 0.9377 |
| No log | 7.2258 | 448 | 0.9147 | 0.4912 | 0.9147 | 0.9564 |
| No log | 7.2581 | 450 | 0.9040 | 0.5040 | 0.9040 | 0.9508 |
| No log | 7.2903 | 452 | 0.8879 | 0.5159 | 0.8879 | 0.9423 |
| No log | 7.3226 | 454 | 0.8831 | 0.5173 | 0.8831 | 0.9397 |
| No log | 7.3548 | 456 | 0.8724 | 0.5242 | 0.8724 | 0.9340 |
| No log | 7.3871 | 458 | 0.8600 | 0.5242 | 0.8600 | 0.9274 |
| No log | 7.4194 | 460 | 0.8438 | 0.4982 | 0.8438 | 0.9186 |
| No log | 7.4516 | 462 | 0.8295 | 0.5042 | 0.8295 | 0.9108 |
| No log | 7.4839 | 464 | 0.8143 | 0.5094 | 0.8143 | 0.9024 |
| No log | 7.5161 | 466 | 0.8207 | 0.5094 | 0.8207 | 0.9059 |
| No log | 7.5484 | 468 | 0.8361 | 0.5094 | 0.8361 | 0.9144 |
| No log | 7.5806 | 470 | 0.8726 | 0.4952 | 0.8726 | 0.9341 |
| No log | 7.6129 | 472 | 0.8774 | 0.4889 | 0.8774 | 0.9367 |
| No log | 7.6452 | 474 | 0.8830 | 0.4889 | 0.8830 | 0.9397 |
| No log | 7.6774 | 476 | 0.8744 | 0.4895 | 0.8744 | 0.9351 |
| No log | 7.7097 | 478 | 0.8571 | 0.5010 | 0.8571 | 0.9258 |
| No log | 7.7419 | 480 | 0.8394 | 0.4959 | 0.8394 | 0.9162 |
| No log | 7.7742 | 482 | 0.8542 | 0.5010 | 0.8542 | 0.9242 |
| No log | 7.8065 | 484 | 0.8464 | 0.4959 | 0.8464 | 0.9200 |
| No log | 7.8387 | 486 | 0.8309 | 0.4975 | 0.8309 | 0.9115 |
| No log | 7.8710 | 488 | 0.8501 | 0.5025 | 0.8501 | 0.9220 |
| No log | 7.9032 | 490 | 0.8651 | 0.4910 | 0.8651 | 0.9301 |
| No log | 7.9355 | 492 | 0.9127 | 0.4995 | 0.9127 | 0.9554 |
| No log | 7.9677 | 494 | 0.9485 | 0.4981 | 0.9485 | 0.9739 |
| No log | 8.0 | 496 | 0.9500 | 0.4920 | 0.9500 | 0.9747 |
| No log | 8.0323 | 498 | 0.9398 | 0.4933 | 0.9398 | 0.9694 |
| 0.4198 | 8.0645 | 500 | 0.9157 | 0.4946 | 0.9157 | 0.9569 |
| 0.4198 | 8.0968 | 502 | 0.8888 | 0.4910 | 0.8888 | 0.9428 |
| 0.4198 | 8.1290 | 504 | 0.8725 | 0.4910 | 0.8725 | 0.9341 |
| 0.4198 | 8.1613 | 506 | 0.8672 | 0.4975 | 0.8672 | 0.9312 |
| 0.4198 | 8.1935 | 508 | 0.8758 | 0.4967 | 0.8758 | 0.9358 |
| 0.4198 | 8.2258 | 510 | 0.8690 | 0.5010 | 0.8690 | 0.9322 |
| 0.4198 | 8.2581 | 512 | 0.8621 | 0.5010 | 0.8621 | 0.9285 |
| 0.4198 | 8.2903 | 514 | 0.8607 | 0.5010 | 0.8607 | 0.9277 |
| 0.4198 | 8.3226 | 516 | 0.8745 | 0.5060 | 0.8745 | 0.9352 |
| 0.4198 | 8.3548 | 518 | 0.8650 | 0.5060 | 0.8650 | 0.9301 |
| 0.4198 | 8.3871 | 520 | 0.8448 | 0.4960 | 0.8448 | 0.9191 |
| 0.4198 | 8.4194 | 522 | 0.8448 | 0.4967 | 0.8448 | 0.9191 |
| 0.4198 | 8.4516 | 524 | 0.8704 | 0.4960 | 0.8704 | 0.9329 |
| 0.4198 | 8.4839 | 526 | 0.9012 | 0.4995 | 0.9012 | 0.9493 |
| 0.4198 | 8.5161 | 528 | 0.9235 | 0.4995 | 0.9235 | 0.9610 |
| 0.4198 | 8.5484 | 530 | 0.9645 | 0.4968 | 0.9645 | 0.9821 |
| 0.4198 | 8.5806 | 532 | 0.9925 | 0.5014 | 0.9925 | 0.9962 |
| 0.4198 | 8.6129 | 534 | 1.0047 | 0.5014 | 1.0047 | 1.0023 |
| 0.4198 | 8.6452 | 536 | 1.0137 | 0.5014 | 1.0137 | 1.0068 |
| 0.4198 | 8.6774 | 538 | 1.0121 | 0.4955 | 1.0121 | 1.0060 |
| 0.4198 | 8.7097 | 540 | 1.0074 | 0.4792 | 1.0074 | 1.0037 |
| 0.4198 | 8.7419 | 542 | 0.9938 | 0.4908 | 0.9938 | 0.9969 |
| 0.4198 | 8.7742 | 544 | 0.9631 | 0.4981 | 0.9631 | 0.9814 |
| 0.4198 | 8.8065 | 546 | 0.9224 | 0.4940 | 0.9224 | 0.9604 |
| 0.4198 | 8.8387 | 548 | 0.8900 | 0.4961 | 0.8900 | 0.9434 |
| 0.4198 | 8.8710 | 550 | 0.8743 | 0.4976 | 0.8743 | 0.9351 |
| 0.4198 | 8.9032 | 552 | 0.8782 | 0.4976 | 0.8782 | 0.9371 |
| 0.4198 | 8.9355 | 554 | 0.8895 | 0.4976 | 0.8895 | 0.9431 |
| 0.4198 | 8.9677 | 556 | 0.8887 | 0.4976 | 0.8887 | 0.9427 |
| 0.4198 | 9.0 | 558 | 0.8985 | 0.4976 | 0.8985 | 0.9479 |
| 0.4198 | 9.0323 | 560 | 0.9141 | 0.4976 | 0.9141 | 0.9561 |
| 0.4198 | 9.0645 | 562 | 0.9316 | 0.4847 | 0.9316 | 0.9652 |
| 0.4198 | 9.0968 | 564 | 0.9589 | 0.4825 | 0.9589 | 0.9792 |
| 0.4198 | 9.1290 | 566 | 0.9722 | 0.4825 | 0.9722 | 0.9860 |
| 0.4198 | 9.1613 | 568 | 0.9725 | 0.4922 | 0.9725 | 0.9861 |
| 0.4198 | 9.1935 | 570 | 0.9749 | 0.4922 | 0.9749 | 0.9873 |
| 0.4198 | 9.2258 | 572 | 0.9772 | 0.4968 | 0.9772 | 0.9885 |
| 0.4198 | 9.2581 | 574 | 0.9787 | 0.4968 | 0.9787 | 0.9893 |
| 0.4198 | 9.2903 | 576 | 0.9822 | 0.4968 | 0.9822 | 0.9911 |
| 0.4198 | 9.3226 | 578 | 0.9795 | 0.4968 | 0.9795 | 0.9897 |
| 0.4198 | 9.3548 | 580 | 0.9671 | 0.4928 | 0.9671 | 0.9834 |
| 0.4198 | 9.3871 | 582 | 0.9574 | 0.4832 | 0.9574 | 0.9785 |
| 0.4198 | 9.4194 | 584 | 0.9521 | 0.4894 | 0.9521 | 0.9758 |
| 0.4198 | 9.4516 | 586 | 0.9456 | 0.4894 | 0.9456 | 0.9724 |
| 0.4198 | 9.4839 | 588 | 0.9415 | 0.4894 | 0.9415 | 0.9703 |
| 0.4198 | 9.5161 | 590 | 0.9426 | 0.4894 | 0.9426 | 0.9709 |
| 0.4198 | 9.5484 | 592 | 0.9406 | 0.4954 | 0.9406 | 0.9699 |
| 0.4198 | 9.5806 | 594 | 0.9330 | 0.4954 | 0.9330 | 0.9659 |
| 0.4198 | 9.6129 | 596 | 0.9277 | 0.4906 | 0.9277 | 0.9631 |
| 0.4198 | 9.6452 | 598 | 0.9276 | 0.4906 | 0.9276 | 0.9631 |
| 0.4198 | 9.6774 | 600 | 0.9277 | 0.4906 | 0.9277 | 0.9632 |
| 0.4198 | 9.7097 | 602 | 0.9301 | 0.4914 | 0.9301 | 0.9644 |
| 0.4198 | 9.7419 | 604 | 0.9310 | 0.4856 | 0.9310 | 0.9649 |
| 0.4198 | 9.7742 | 606 | 0.9270 | 0.4976 | 0.9270 | 0.9628 |
| 0.4198 | 9.8065 | 608 | 0.9267 | 0.4976 | 0.9267 | 0.9626 |
| 0.4198 | 9.8387 | 610 | 0.9284 | 0.4916 | 0.9284 | 0.9635 |
| 0.4198 | 9.8710 | 612 | 0.9282 | 0.4916 | 0.9282 | 0.9634 |
| 0.4198 | 9.9032 | 614 | 0.9268 | 0.4916 | 0.9268 | 0.9627 |
| 0.4198 | 9.9355 | 616 | 0.9262 | 0.4916 | 0.9262 | 0.9624 |
| 0.4198 | 9.9677 | 618 | 0.9260 | 0.4916 | 0.9260 | 0.9623 |
| 0.4198 | 10.0 | 620 | 0.9263 | 0.4916 | 0.9263 | 0.9624 |
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_run1_AugV5_k11_task2_organization
Base model
aubmindlab/bert-base-arabertv02