Instructions to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k10_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_k10_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_k10_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k10_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k10_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k10_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: 0.8935
- Qwk: 0.4582
- Mse: 0.8935
- Rmse: 0.9453
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 | 0.0385 | 2 | 3.8309 | -0.0075 | 3.8309 | 1.9573 |
| No log | 0.0769 | 4 | 1.9624 | 0.0660 | 1.9624 | 1.4009 |
| No log | 0.1154 | 6 | 1.1115 | 0.0560 | 1.1115 | 1.0543 |
| No log | 0.1538 | 8 | 0.7739 | 0.0746 | 0.7739 | 0.8797 |
| No log | 0.1923 | 10 | 0.7203 | 0.2289 | 0.7203 | 0.8487 |
| No log | 0.2308 | 12 | 0.8289 | 0.0594 | 0.8289 | 0.9105 |
| No log | 0.2692 | 14 | 1.1104 | -0.0113 | 1.1104 | 1.0537 |
| No log | 0.3077 | 16 | 0.9310 | 0.0156 | 0.9310 | 0.9649 |
| No log | 0.3462 | 18 | 0.8041 | 0.0541 | 0.8041 | 0.8967 |
| No log | 0.3846 | 20 | 0.8330 | -0.0544 | 0.8330 | 0.9127 |
| No log | 0.4231 | 22 | 0.7494 | 0.1171 | 0.7494 | 0.8657 |
| No log | 0.4615 | 24 | 0.8077 | 0.0270 | 0.8077 | 0.8987 |
| No log | 0.5 | 26 | 0.7989 | 0.0329 | 0.7989 | 0.8938 |
| No log | 0.5385 | 28 | 0.7191 | 0.1494 | 0.7191 | 0.8480 |
| No log | 0.5769 | 30 | 0.7013 | 0.1344 | 0.7013 | 0.8374 |
| No log | 0.6154 | 32 | 0.7062 | 0.1171 | 0.7062 | 0.8403 |
| No log | 0.6538 | 34 | 0.7272 | 0.2224 | 0.7272 | 0.8528 |
| No log | 0.6923 | 36 | 0.7396 | 0.1960 | 0.7396 | 0.8600 |
| No log | 0.7308 | 38 | 0.6437 | 0.2015 | 0.6437 | 0.8023 |
| No log | 0.7692 | 40 | 0.6316 | 0.2453 | 0.6316 | 0.7947 |
| No log | 0.8077 | 42 | 0.7223 | 0.3810 | 0.7223 | 0.8499 |
| No log | 0.8462 | 44 | 0.6615 | 0.3821 | 0.6615 | 0.8134 |
| No log | 0.8846 | 46 | 0.5803 | 0.4672 | 0.5803 | 0.7617 |
| No log | 0.9231 | 48 | 0.5792 | 0.4758 | 0.5792 | 0.7611 |
| No log | 0.9615 | 50 | 0.6097 | 0.5090 | 0.6097 | 0.7808 |
| No log | 1.0 | 52 | 0.6909 | 0.5256 | 0.6909 | 0.8312 |
| No log | 1.0385 | 54 | 0.6725 | 0.5692 | 0.6725 | 0.8200 |
| No log | 1.0769 | 56 | 0.6415 | 0.4946 | 0.6415 | 0.8010 |
| No log | 1.1154 | 58 | 0.8533 | 0.4848 | 0.8533 | 0.9237 |
| No log | 1.1538 | 60 | 0.9320 | 0.4463 | 0.9320 | 0.9654 |
| No log | 1.1923 | 62 | 0.9140 | 0.4434 | 0.9140 | 0.9560 |
| No log | 1.2308 | 64 | 1.3834 | 0.3972 | 1.3834 | 1.1762 |
| No log | 1.2692 | 66 | 1.6134 | 0.3483 | 1.6134 | 1.2702 |
| No log | 1.3077 | 68 | 1.3798 | 0.4017 | 1.3798 | 1.1747 |
| No log | 1.3462 | 70 | 1.0658 | 0.4616 | 1.0658 | 1.0324 |
| No log | 1.3846 | 72 | 1.1616 | 0.4334 | 1.1616 | 1.0778 |
| No log | 1.4231 | 74 | 1.5719 | 0.3372 | 1.5719 | 1.2537 |
| No log | 1.4615 | 76 | 1.9571 | 0.2603 | 1.9571 | 1.3990 |
| No log | 1.5 | 78 | 1.2078 | 0.4238 | 1.2078 | 1.0990 |
| No log | 1.5385 | 80 | 0.7412 | 0.4766 | 0.7412 | 0.8609 |
| No log | 1.5769 | 82 | 0.7808 | 0.4637 | 0.7808 | 0.8836 |
| No log | 1.6154 | 84 | 0.8272 | 0.4893 | 0.8272 | 0.9095 |
| No log | 1.6538 | 86 | 1.3284 | 0.4179 | 1.3284 | 1.1525 |
| No log | 1.6923 | 88 | 1.5393 | 0.3914 | 1.5393 | 1.2407 |
| No log | 1.7308 | 90 | 1.2345 | 0.4405 | 1.2345 | 1.1111 |
| No log | 1.7692 | 92 | 0.9180 | 0.4957 | 0.9180 | 0.9581 |
| No log | 1.8077 | 94 | 0.8141 | 0.5286 | 0.8141 | 0.9023 |
| No log | 1.8462 | 96 | 0.9124 | 0.4991 | 0.9124 | 0.9552 |
| No log | 1.8846 | 98 | 0.9348 | 0.4659 | 0.9348 | 0.9669 |
| No log | 1.9231 | 100 | 0.8862 | 0.4857 | 0.8862 | 0.9414 |
| No log | 1.9615 | 102 | 0.8437 | 0.4765 | 0.8437 | 0.9185 |
| No log | 2.0 | 104 | 0.7635 | 0.5358 | 0.7635 | 0.8738 |
| No log | 2.0385 | 106 | 0.7687 | 0.5416 | 0.7687 | 0.8768 |
| No log | 2.0769 | 108 | 0.8266 | 0.4704 | 0.8266 | 0.9092 |
| No log | 2.1154 | 110 | 0.8554 | 0.5172 | 0.8554 | 0.9249 |
| No log | 2.1538 | 112 | 1.0608 | 0.4683 | 1.0608 | 1.0300 |
| No log | 2.1923 | 114 | 1.0952 | 0.4681 | 1.0952 | 1.0465 |
| No log | 2.2308 | 116 | 0.8524 | 0.5156 | 0.8524 | 0.9232 |
| No log | 2.2692 | 118 | 0.8018 | 0.5300 | 0.8018 | 0.8954 |
| No log | 2.3077 | 120 | 0.8193 | 0.5216 | 0.8193 | 0.9051 |
| No log | 2.3462 | 122 | 0.8646 | 0.4992 | 0.8646 | 0.9298 |
| No log | 2.3846 | 124 | 1.1532 | 0.4567 | 1.1532 | 1.0739 |
| No log | 2.4231 | 126 | 1.3923 | 0.4288 | 1.3923 | 1.1800 |
| No log | 2.4615 | 128 | 1.4277 | 0.4204 | 1.4277 | 1.1949 |
| No log | 2.5 | 130 | 1.0652 | 0.4705 | 1.0652 | 1.0321 |
| No log | 2.5385 | 132 | 0.8021 | 0.5041 | 0.8021 | 0.8956 |
| No log | 2.5769 | 134 | 0.7986 | 0.4932 | 0.7986 | 0.8937 |
| No log | 2.6154 | 136 | 0.7888 | 0.5385 | 0.7888 | 0.8881 |
| No log | 2.6538 | 138 | 0.9832 | 0.4472 | 0.9832 | 0.9916 |
| No log | 2.6923 | 140 | 1.6106 | 0.3897 | 1.6106 | 1.2691 |
| No log | 2.7308 | 142 | 1.8202 | 0.3016 | 1.8202 | 1.3491 |
| No log | 2.7692 | 144 | 1.4308 | 0.4081 | 1.4308 | 1.1962 |
| No log | 2.8077 | 146 | 0.8876 | 0.4685 | 0.8876 | 0.9421 |
| No log | 2.8462 | 148 | 0.7823 | 0.4921 | 0.7823 | 0.8845 |
| No log | 2.8846 | 150 | 0.8236 | 0.5046 | 0.8236 | 0.9075 |
| No log | 2.9231 | 152 | 0.9360 | 0.4524 | 0.9360 | 0.9675 |
| No log | 2.9615 | 154 | 1.0104 | 0.4679 | 1.0104 | 1.0052 |
| No log | 3.0 | 156 | 1.0568 | 0.4678 | 1.0568 | 1.0280 |
| No log | 3.0385 | 158 | 0.9816 | 0.4747 | 0.9816 | 0.9908 |
| No log | 3.0769 | 160 | 0.9573 | 0.5238 | 0.9573 | 0.9784 |
| No log | 3.1154 | 162 | 0.9556 | 0.5204 | 0.9556 | 0.9775 |
| No log | 3.1538 | 164 | 1.1106 | 0.4579 | 1.1106 | 1.0538 |
| No log | 3.1923 | 166 | 1.1386 | 0.4644 | 1.1386 | 1.0670 |
| No log | 3.2308 | 168 | 0.9419 | 0.4727 | 0.9419 | 0.9705 |
| No log | 3.2692 | 170 | 0.8364 | 0.5350 | 0.8364 | 0.9146 |
| No log | 3.3077 | 172 | 0.7746 | 0.5434 | 0.7746 | 0.8801 |
| No log | 3.3462 | 174 | 0.7468 | 0.5624 | 0.7468 | 0.8642 |
| No log | 3.3846 | 176 | 0.8720 | 0.4824 | 0.8720 | 0.9338 |
| No log | 3.4231 | 178 | 0.9405 | 0.4433 | 0.9405 | 0.9698 |
| No log | 3.4615 | 180 | 0.8534 | 0.4762 | 0.8534 | 0.9238 |
| No log | 3.5 | 182 | 0.7811 | 0.4733 | 0.7811 | 0.8838 |
| No log | 3.5385 | 184 | 0.8503 | 0.4672 | 0.8503 | 0.9221 |
| No log | 3.5769 | 186 | 0.9545 | 0.4688 | 0.9545 | 0.9770 |
| No log | 3.6154 | 188 | 1.0553 | 0.4529 | 1.0553 | 1.0273 |
| No log | 3.6538 | 190 | 1.1185 | 0.4524 | 1.1185 | 1.0576 |
| No log | 3.6923 | 192 | 0.9948 | 0.4526 | 0.9948 | 0.9974 |
| No log | 3.7308 | 194 | 0.9490 | 0.4500 | 0.9490 | 0.9742 |
| No log | 3.7692 | 196 | 1.0254 | 0.4777 | 1.0254 | 1.0126 |
| No log | 3.8077 | 198 | 1.1450 | 0.4326 | 1.1450 | 1.0700 |
| No log | 3.8462 | 200 | 1.0904 | 0.4250 | 1.0904 | 1.0442 |
| No log | 3.8846 | 202 | 0.9294 | 0.4590 | 0.9294 | 0.9641 |
| No log | 3.9231 | 204 | 0.7821 | 0.4461 | 0.7821 | 0.8844 |
| No log | 3.9615 | 206 | 0.7912 | 0.4443 | 0.7912 | 0.8895 |
| No log | 4.0 | 208 | 0.8405 | 0.4226 | 0.8405 | 0.9168 |
| No log | 4.0385 | 210 | 0.8345 | 0.4600 | 0.8345 | 0.9135 |
| No log | 4.0769 | 212 | 0.8101 | 0.4659 | 0.8101 | 0.9000 |
| No log | 4.1154 | 214 | 0.8648 | 0.4358 | 0.8648 | 0.9300 |
| No log | 4.1538 | 216 | 0.9426 | 0.4627 | 0.9426 | 0.9709 |
| No log | 4.1923 | 218 | 0.9585 | 0.4744 | 0.9585 | 0.9790 |
| No log | 4.2308 | 220 | 0.8692 | 0.4828 | 0.8692 | 0.9323 |
| No log | 4.2692 | 222 | 0.8886 | 0.4946 | 0.8886 | 0.9426 |
| No log | 4.3077 | 224 | 0.9755 | 0.4931 | 0.9755 | 0.9877 |
| No log | 4.3462 | 226 | 1.1044 | 0.4640 | 1.1044 | 1.0509 |
| No log | 4.3846 | 228 | 1.0939 | 0.4640 | 1.0939 | 1.0459 |
| No log | 4.4231 | 230 | 0.9364 | 0.4926 | 0.9364 | 0.9677 |
| No log | 4.4615 | 232 | 0.8646 | 0.4490 | 0.8646 | 0.9298 |
| No log | 4.5 | 234 | 0.7653 | 0.4574 | 0.7653 | 0.8748 |
| No log | 4.5385 | 236 | 0.7262 | 0.5112 | 0.7262 | 0.8521 |
| No log | 4.5769 | 238 | 0.7342 | 0.4761 | 0.7342 | 0.8568 |
| No log | 4.6154 | 240 | 0.7495 | 0.4627 | 0.7495 | 0.8657 |
| No log | 4.6538 | 242 | 0.7761 | 0.5167 | 0.7761 | 0.8810 |
| No log | 4.6923 | 244 | 0.8279 | 0.4660 | 0.8279 | 0.9099 |
| No log | 4.7308 | 246 | 0.9220 | 0.4555 | 0.9220 | 0.9602 |
| No log | 4.7692 | 248 | 0.9332 | 0.4493 | 0.9332 | 0.9660 |
| No log | 4.8077 | 250 | 0.8709 | 0.4590 | 0.8709 | 0.9332 |
| No log | 4.8462 | 252 | 0.8280 | 0.4414 | 0.8280 | 0.9099 |
| No log | 4.8846 | 254 | 0.8360 | 0.4728 | 0.8360 | 0.9143 |
| No log | 4.9231 | 256 | 0.9193 | 0.5035 | 0.9193 | 0.9588 |
| No log | 4.9615 | 258 | 0.9971 | 0.4656 | 0.9971 | 0.9985 |
| No log | 5.0 | 260 | 1.0917 | 0.4457 | 1.0917 | 1.0449 |
| No log | 5.0385 | 262 | 1.0317 | 0.4695 | 1.0317 | 1.0157 |
| No log | 5.0769 | 264 | 0.8787 | 0.4797 | 0.8787 | 0.9374 |
| No log | 5.1154 | 266 | 0.8372 | 0.4759 | 0.8372 | 0.9150 |
| No log | 5.1538 | 268 | 0.8564 | 0.4702 | 0.8564 | 0.9254 |
| No log | 5.1923 | 270 | 0.9074 | 0.4456 | 0.9074 | 0.9526 |
| No log | 5.2308 | 272 | 0.9862 | 0.4579 | 0.9862 | 0.9931 |
| No log | 5.2692 | 274 | 1.0375 | 0.4513 | 1.0375 | 1.0186 |
| No log | 5.3077 | 276 | 1.0329 | 0.4451 | 1.0329 | 1.0163 |
| No log | 5.3462 | 278 | 0.9376 | 0.4569 | 0.9376 | 0.9683 |
| No log | 5.3846 | 280 | 0.9189 | 0.4402 | 0.9189 | 0.9586 |
| No log | 5.4231 | 282 | 0.9107 | 0.4402 | 0.9107 | 0.9543 |
| No log | 5.4615 | 284 | 0.8679 | 0.4355 | 0.8679 | 0.9316 |
| No log | 5.5 | 286 | 0.8223 | 0.4341 | 0.8223 | 0.9068 |
| No log | 5.5385 | 288 | 0.7637 | 0.4201 | 0.7637 | 0.8739 |
| No log | 5.5769 | 290 | 0.7562 | 0.4410 | 0.7562 | 0.8696 |
| No log | 5.6154 | 292 | 0.7941 | 0.4289 | 0.7941 | 0.8911 |
| No log | 5.6538 | 294 | 0.8831 | 0.4565 | 0.8831 | 0.9397 |
| No log | 5.6923 | 296 | 0.9042 | 0.4640 | 0.9042 | 0.9509 |
| No log | 5.7308 | 298 | 0.9425 | 0.4575 | 0.9425 | 0.9708 |
| No log | 5.7692 | 300 | 0.9095 | 0.4721 | 0.9095 | 0.9537 |
| No log | 5.8077 | 302 | 0.8568 | 0.4304 | 0.8568 | 0.9256 |
| No log | 5.8462 | 304 | 0.8368 | 0.4406 | 0.8368 | 0.9148 |
| No log | 5.8846 | 306 | 0.8783 | 0.4516 | 0.8783 | 0.9372 |
| No log | 5.9231 | 308 | 0.9645 | 0.4686 | 0.9645 | 0.9821 |
| No log | 5.9615 | 310 | 1.0161 | 0.4618 | 1.0161 | 1.0080 |
| No log | 6.0 | 312 | 0.9740 | 0.4492 | 0.9740 | 0.9869 |
| No log | 6.0385 | 314 | 0.9296 | 0.4704 | 0.9296 | 0.9642 |
| No log | 6.0769 | 316 | 0.8835 | 0.4447 | 0.8835 | 0.9400 |
| No log | 6.1154 | 318 | 0.8494 | 0.4678 | 0.8494 | 0.9216 |
| No log | 6.1538 | 320 | 0.8659 | 0.4444 | 0.8659 | 0.9306 |
| No log | 6.1923 | 322 | 0.9647 | 0.4532 | 0.9647 | 0.9822 |
| No log | 6.2308 | 324 | 1.0148 | 0.4475 | 1.0148 | 1.0074 |
| No log | 6.2692 | 326 | 0.9804 | 0.4629 | 0.9804 | 0.9901 |
| No log | 6.3077 | 328 | 0.8871 | 0.4411 | 0.8871 | 0.9419 |
| No log | 6.3462 | 330 | 0.7667 | 0.4651 | 0.7667 | 0.8756 |
| No log | 6.3846 | 332 | 0.7039 | 0.4582 | 0.7039 | 0.8390 |
| No log | 6.4231 | 334 | 0.7178 | 0.4553 | 0.7178 | 0.8472 |
| No log | 6.4615 | 336 | 0.7397 | 0.4686 | 0.7397 | 0.8601 |
| No log | 6.5 | 338 | 0.7864 | 0.4570 | 0.7864 | 0.8868 |
| No log | 6.5385 | 340 | 0.8884 | 0.4695 | 0.8884 | 0.9425 |
| No log | 6.5769 | 342 | 1.0488 | 0.4504 | 1.0488 | 1.0241 |
| No log | 6.6154 | 344 | 1.1271 | 0.4538 | 1.1271 | 1.0616 |
| No log | 6.6538 | 346 | 1.0810 | 0.4756 | 1.0810 | 1.0397 |
| No log | 6.6923 | 348 | 0.9856 | 0.4620 | 0.9856 | 0.9928 |
| No log | 6.7308 | 350 | 0.9100 | 0.4727 | 0.9100 | 0.9539 |
| No log | 6.7692 | 352 | 0.9041 | 0.4632 | 0.9041 | 0.9508 |
| No log | 6.8077 | 354 | 0.9446 | 0.4770 | 0.9446 | 0.9719 |
| No log | 6.8462 | 356 | 1.0195 | 0.4636 | 1.0195 | 1.0097 |
| No log | 6.8846 | 358 | 1.0949 | 0.4654 | 1.0949 | 1.0464 |
| No log | 6.9231 | 360 | 1.0868 | 0.4579 | 1.0868 | 1.0425 |
| No log | 6.9615 | 362 | 1.0029 | 0.4832 | 1.0029 | 1.0014 |
| No log | 7.0 | 364 | 0.9163 | 0.4561 | 0.9163 | 0.9573 |
| No log | 7.0385 | 366 | 0.8719 | 0.4720 | 0.8719 | 0.9338 |
| No log | 7.0769 | 368 | 0.8678 | 0.4668 | 0.8678 | 0.9315 |
| No log | 7.1154 | 370 | 0.8975 | 0.4643 | 0.8975 | 0.9474 |
| No log | 7.1538 | 372 | 0.9551 | 0.4703 | 0.9551 | 0.9773 |
| No log | 7.1923 | 374 | 0.9736 | 0.4773 | 0.9736 | 0.9867 |
| No log | 7.2308 | 376 | 0.9484 | 0.4898 | 0.9484 | 0.9738 |
| No log | 7.2692 | 378 | 0.9108 | 0.4555 | 0.9108 | 0.9543 |
| No log | 7.3077 | 380 | 0.8930 | 0.4724 | 0.8930 | 0.9450 |
| No log | 7.3462 | 382 | 0.8984 | 0.4653 | 0.8984 | 0.9478 |
| No log | 7.3846 | 384 | 0.8894 | 0.4784 | 0.8894 | 0.9431 |
| No log | 7.4231 | 386 | 0.8730 | 0.4494 | 0.8730 | 0.9343 |
| No log | 7.4615 | 388 | 0.8429 | 0.4630 | 0.8429 | 0.9181 |
| No log | 7.5 | 390 | 0.8714 | 0.4631 | 0.8714 | 0.9335 |
| No log | 7.5385 | 392 | 0.8989 | 0.4616 | 0.8989 | 0.9481 |
| No log | 7.5769 | 394 | 0.9537 | 0.4543 | 0.9537 | 0.9766 |
| No log | 7.6154 | 396 | 1.0619 | 0.4524 | 1.0619 | 1.0305 |
| No log | 7.6538 | 398 | 1.1619 | 0.4431 | 1.1619 | 1.0779 |
| No log | 7.6923 | 400 | 1.2243 | 0.4395 | 1.2243 | 1.1065 |
| No log | 7.7308 | 402 | 1.1759 | 0.4492 | 1.1759 | 1.0844 |
| No log | 7.7692 | 404 | 1.1281 | 0.4250 | 1.1281 | 1.0621 |
| No log | 7.8077 | 406 | 1.0585 | 0.4293 | 1.0585 | 1.0288 |
| No log | 7.8462 | 408 | 0.9735 | 0.4435 | 0.9735 | 0.9867 |
| No log | 7.8846 | 410 | 0.9412 | 0.4597 | 0.9412 | 0.9702 |
| No log | 7.9231 | 412 | 0.9615 | 0.4614 | 0.9615 | 0.9805 |
| No log | 7.9615 | 414 | 0.9726 | 0.4601 | 0.9726 | 0.9862 |
| No log | 8.0 | 416 | 1.0175 | 0.4516 | 1.0175 | 1.0087 |
| No log | 8.0385 | 418 | 1.0123 | 0.4570 | 1.0123 | 1.0061 |
| No log | 8.0769 | 420 | 0.9635 | 0.4566 | 0.9635 | 0.9816 |
| No log | 8.1154 | 422 | 0.9249 | 0.4566 | 0.9249 | 0.9617 |
| No log | 8.1538 | 424 | 0.9176 | 0.4566 | 0.9176 | 0.9579 |
| No log | 8.1923 | 426 | 0.9436 | 0.4566 | 0.9436 | 0.9714 |
| No log | 8.2308 | 428 | 0.9898 | 0.4566 | 0.9898 | 0.9949 |
| No log | 8.2692 | 430 | 1.0060 | 0.4510 | 1.0060 | 1.0030 |
| No log | 8.3077 | 432 | 1.0195 | 0.4407 | 1.0195 | 1.0097 |
| No log | 8.3462 | 434 | 0.9984 | 0.4247 | 0.9984 | 0.9992 |
| No log | 8.3846 | 436 | 0.9802 | 0.4281 | 0.9802 | 0.9900 |
| No log | 8.4231 | 438 | 0.9287 | 0.4604 | 0.9287 | 0.9637 |
| No log | 8.4615 | 440 | 0.8842 | 0.4659 | 0.8842 | 0.9403 |
| No log | 8.5 | 442 | 0.8704 | 0.4419 | 0.8704 | 0.9329 |
| No log | 8.5385 | 444 | 0.8691 | 0.4468 | 0.8691 | 0.9323 |
| No log | 8.5769 | 446 | 0.8696 | 0.4558 | 0.8696 | 0.9325 |
| No log | 8.6154 | 448 | 0.8585 | 0.4337 | 0.8585 | 0.9265 |
| No log | 8.6538 | 450 | 0.8762 | 0.4596 | 0.8762 | 0.9361 |
| No log | 8.6923 | 452 | 0.9040 | 0.4317 | 0.9040 | 0.9508 |
| No log | 8.7308 | 454 | 0.9482 | 0.4229 | 0.9482 | 0.9738 |
| No log | 8.7692 | 456 | 0.9689 | 0.4396 | 0.9689 | 0.9843 |
| No log | 8.8077 | 458 | 0.9706 | 0.4563 | 0.9706 | 0.9852 |
| No log | 8.8462 | 460 | 0.9460 | 0.4386 | 0.9460 | 0.9726 |
| No log | 8.8846 | 462 | 0.9201 | 0.4386 | 0.9201 | 0.9592 |
| No log | 8.9231 | 464 | 0.8948 | 0.4135 | 0.8948 | 0.9460 |
| No log | 8.9615 | 466 | 0.8630 | 0.4375 | 0.8630 | 0.9290 |
| No log | 9.0 | 468 | 0.8445 | 0.4376 | 0.8445 | 0.9189 |
| No log | 9.0385 | 470 | 0.8402 | 0.4247 | 0.8402 | 0.9166 |
| No log | 9.0769 | 472 | 0.8432 | 0.4376 | 0.8432 | 0.9183 |
| No log | 9.1154 | 474 | 0.8640 | 0.4375 | 0.8640 | 0.9295 |
| No log | 9.1538 | 476 | 0.8839 | 0.4247 | 0.8839 | 0.9401 |
| No log | 9.1923 | 478 | 0.9186 | 0.4300 | 0.9186 | 0.9584 |
| No log | 9.2308 | 480 | 0.9604 | 0.4229 | 0.9604 | 0.9800 |
| No log | 9.2692 | 482 | 0.9876 | 0.4397 | 0.9876 | 0.9938 |
| No log | 9.3077 | 484 | 0.9955 | 0.4396 | 0.9955 | 0.9977 |
| No log | 9.3462 | 486 | 0.9895 | 0.4297 | 0.9895 | 0.9947 |
| No log | 9.3846 | 488 | 0.9815 | 0.4297 | 0.9815 | 0.9907 |
| No log | 9.4231 | 490 | 0.9614 | 0.4331 | 0.9614 | 0.9805 |
| No log | 9.4615 | 492 | 0.9535 | 0.4331 | 0.9535 | 0.9765 |
| No log | 9.5 | 494 | 0.9465 | 0.4383 | 0.9465 | 0.9729 |
| No log | 9.5385 | 496 | 0.9349 | 0.4317 | 0.9349 | 0.9669 |
| No log | 9.5769 | 498 | 0.9200 | 0.4317 | 0.9200 | 0.9592 |
| 0.469 | 9.6154 | 500 | 0.9072 | 0.4579 | 0.9072 | 0.9525 |
| 0.469 | 9.6538 | 502 | 0.8974 | 0.4592 | 0.8974 | 0.9473 |
| 0.469 | 9.6923 | 504 | 0.8899 | 0.4596 | 0.8899 | 0.9434 |
| 0.469 | 9.7308 | 506 | 0.8840 | 0.4533 | 0.8840 | 0.9402 |
| 0.469 | 9.7692 | 508 | 0.8807 | 0.4533 | 0.8807 | 0.9385 |
| 0.469 | 9.8077 | 510 | 0.8797 | 0.4533 | 0.8797 | 0.9379 |
| 0.469 | 9.8462 | 512 | 0.8823 | 0.4533 | 0.8823 | 0.9393 |
| 0.469 | 9.8846 | 514 | 0.8870 | 0.4596 | 0.8870 | 0.9418 |
| 0.469 | 9.9231 | 516 | 0.8903 | 0.4596 | 0.8903 | 0.9435 |
| 0.469 | 9.9615 | 518 | 0.8930 | 0.4582 | 0.8930 | 0.9450 |
| 0.469 | 10.0 | 520 | 0.8935 | 0.4582 | 0.8935 | 0.9453 |
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_k10_task2_organization
Base model
aubmindlab/bert-base-arabertv02