Instructions to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run2_AugV5_k12_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run2_AugV5_k12_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run2_AugV5_k12_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run2_AugV5_k12_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run2_AugV5_k12_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run2_AugV5_k12_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: 0.5158
- Qwk: 0.7680
- Mse: 0.5158
- Rmse: 0.7182
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 | 0.0290 | 2 | 5.1627 | -0.0042 | 5.1627 | 2.2722 |
| No log | 0.0580 | 4 | 4.1025 | 0.0270 | 4.1025 | 2.0255 |
| No log | 0.0870 | 6 | 2.2885 | 0.1548 | 2.2885 | 1.5128 |
| No log | 0.1159 | 8 | 1.5845 | 0.0360 | 1.5845 | 1.2588 |
| No log | 0.1449 | 10 | 1.8749 | -0.0642 | 1.8749 | 1.3693 |
| No log | 0.1739 | 12 | 1.3659 | 0.1193 | 1.3659 | 1.1687 |
| No log | 0.2029 | 14 | 1.0596 | 0.2113 | 1.0596 | 1.0294 |
| No log | 0.2319 | 16 | 1.4719 | 0.1447 | 1.4719 | 1.2132 |
| No log | 0.2609 | 18 | 1.8585 | 0.1507 | 1.8585 | 1.3633 |
| No log | 0.2899 | 20 | 1.5613 | 0.1040 | 1.5613 | 1.2495 |
| No log | 0.3188 | 22 | 1.1541 | 0.2422 | 1.1541 | 1.0743 |
| No log | 0.3478 | 24 | 0.9817 | 0.4141 | 0.9817 | 0.9908 |
| No log | 0.3768 | 26 | 0.9558 | 0.2866 | 0.9558 | 0.9776 |
| No log | 0.4058 | 28 | 0.9174 | 0.3164 | 0.9174 | 0.9578 |
| No log | 0.4348 | 30 | 0.8509 | 0.4871 | 0.8509 | 0.9225 |
| No log | 0.4638 | 32 | 0.8805 | 0.4816 | 0.8805 | 0.9384 |
| No log | 0.4928 | 34 | 1.0421 | 0.3243 | 1.0421 | 1.0208 |
| No log | 0.5217 | 36 | 1.0183 | 0.4171 | 1.0183 | 1.0091 |
| No log | 0.5507 | 38 | 0.8104 | 0.5139 | 0.8104 | 0.9002 |
| No log | 0.5797 | 40 | 0.6852 | 0.6243 | 0.6852 | 0.8278 |
| No log | 0.6087 | 42 | 0.6467 | 0.6562 | 0.6467 | 0.8042 |
| No log | 0.6377 | 44 | 0.8555 | 0.6089 | 0.8555 | 0.9249 |
| No log | 0.6667 | 46 | 1.3426 | 0.4854 | 1.3426 | 1.1587 |
| No log | 0.6957 | 48 | 2.0753 | 0.2701 | 2.0753 | 1.4406 |
| No log | 0.7246 | 50 | 2.2513 | 0.2255 | 2.2513 | 1.5004 |
| No log | 0.7536 | 52 | 2.1371 | 0.2528 | 2.1371 | 1.4619 |
| No log | 0.7826 | 54 | 1.4472 | 0.4604 | 1.4472 | 1.2030 |
| No log | 0.8116 | 56 | 0.6917 | 0.7099 | 0.6917 | 0.8317 |
| No log | 0.8406 | 58 | 0.7044 | 0.7259 | 0.7044 | 0.8393 |
| No log | 0.8696 | 60 | 0.7812 | 0.7059 | 0.7812 | 0.8838 |
| No log | 0.8986 | 62 | 0.6968 | 0.7236 | 0.6968 | 0.8347 |
| No log | 0.9275 | 64 | 0.6999 | 0.7205 | 0.6999 | 0.8366 |
| No log | 0.9565 | 66 | 0.8140 | 0.6611 | 0.8140 | 0.9022 |
| No log | 0.9855 | 68 | 0.9470 | 0.6299 | 0.9470 | 0.9732 |
| No log | 1.0145 | 70 | 0.9941 | 0.6133 | 0.9941 | 0.9970 |
| No log | 1.0435 | 72 | 0.8469 | 0.6808 | 0.8469 | 0.9203 |
| No log | 1.0725 | 74 | 0.7195 | 0.7082 | 0.7195 | 0.8482 |
| No log | 1.1014 | 76 | 0.7027 | 0.7141 | 0.7027 | 0.8383 |
| No log | 1.1304 | 78 | 0.6791 | 0.7095 | 0.6791 | 0.8241 |
| No log | 1.1594 | 80 | 0.7128 | 0.7044 | 0.7128 | 0.8443 |
| No log | 1.1884 | 82 | 0.9236 | 0.6178 | 0.9236 | 0.9610 |
| No log | 1.2174 | 84 | 1.0037 | 0.6133 | 1.0037 | 1.0018 |
| No log | 1.2464 | 86 | 0.9680 | 0.6214 | 0.9680 | 0.9839 |
| No log | 1.2754 | 88 | 0.7131 | 0.7385 | 0.7131 | 0.8445 |
| No log | 1.3043 | 90 | 0.6107 | 0.7326 | 0.6107 | 0.7815 |
| No log | 1.3333 | 92 | 0.5480 | 0.7303 | 0.5480 | 0.7403 |
| No log | 1.3623 | 94 | 0.5498 | 0.7334 | 0.5498 | 0.7415 |
| No log | 1.3913 | 96 | 0.6116 | 0.7081 | 0.6116 | 0.7821 |
| No log | 1.4203 | 98 | 0.6074 | 0.7490 | 0.6074 | 0.7794 |
| No log | 1.4493 | 100 | 0.6500 | 0.7108 | 0.6500 | 0.8062 |
| No log | 1.4783 | 102 | 0.5827 | 0.7461 | 0.5827 | 0.7633 |
| No log | 1.5072 | 104 | 0.5664 | 0.7508 | 0.5664 | 0.7526 |
| No log | 1.5362 | 106 | 0.6060 | 0.7672 | 0.6060 | 0.7784 |
| No log | 1.5652 | 108 | 0.6680 | 0.7471 | 0.6680 | 0.8173 |
| No log | 1.5942 | 110 | 0.7454 | 0.7478 | 0.7454 | 0.8634 |
| No log | 1.6232 | 112 | 0.7118 | 0.7335 | 0.7118 | 0.8437 |
| No log | 1.6522 | 114 | 0.5930 | 0.7677 | 0.5930 | 0.7701 |
| No log | 1.6812 | 116 | 0.7785 | 0.6893 | 0.7785 | 0.8823 |
| No log | 1.7101 | 118 | 0.8295 | 0.6539 | 0.8295 | 0.9108 |
| No log | 1.7391 | 120 | 0.6194 | 0.7459 | 0.6194 | 0.7870 |
| No log | 1.7681 | 122 | 0.5393 | 0.7686 | 0.5393 | 0.7344 |
| No log | 1.7971 | 124 | 0.5369 | 0.7602 | 0.5369 | 0.7327 |
| No log | 1.8261 | 126 | 0.5483 | 0.7704 | 0.5483 | 0.7404 |
| No log | 1.8551 | 128 | 0.6085 | 0.7292 | 0.6085 | 0.7800 |
| No log | 1.8841 | 130 | 0.5967 | 0.7428 | 0.5967 | 0.7724 |
| No log | 1.9130 | 132 | 0.5810 | 0.7476 | 0.5810 | 0.7622 |
| No log | 1.9420 | 134 | 0.5600 | 0.7624 | 0.5600 | 0.7483 |
| No log | 1.9710 | 136 | 0.5672 | 0.7624 | 0.5672 | 0.7531 |
| No log | 2.0 | 138 | 0.7606 | 0.6910 | 0.7606 | 0.8721 |
| No log | 2.0290 | 140 | 0.8348 | 0.6328 | 0.8348 | 0.9136 |
| No log | 2.0580 | 142 | 0.6254 | 0.7080 | 0.6254 | 0.7908 |
| No log | 2.0870 | 144 | 0.5449 | 0.7650 | 0.5449 | 0.7381 |
| No log | 2.1159 | 146 | 0.5778 | 0.7532 | 0.5778 | 0.7601 |
| No log | 2.1449 | 148 | 0.7004 | 0.7118 | 0.7004 | 0.8369 |
| No log | 2.1739 | 150 | 0.6487 | 0.7289 | 0.6487 | 0.8054 |
| No log | 2.2029 | 152 | 0.5181 | 0.7704 | 0.5181 | 0.7198 |
| No log | 2.2319 | 154 | 0.5517 | 0.7724 | 0.5517 | 0.7428 |
| No log | 2.2609 | 156 | 0.5349 | 0.7795 | 0.5349 | 0.7314 |
| No log | 2.2899 | 158 | 0.5288 | 0.7754 | 0.5288 | 0.7272 |
| No log | 2.3188 | 160 | 0.5329 | 0.7782 | 0.5329 | 0.7300 |
| No log | 2.3478 | 162 | 0.5323 | 0.7675 | 0.5323 | 0.7296 |
| No log | 2.3768 | 164 | 0.5314 | 0.7754 | 0.5314 | 0.7289 |
| No log | 2.4058 | 166 | 0.5369 | 0.7675 | 0.5369 | 0.7328 |
| No log | 2.4348 | 168 | 0.5485 | 0.7850 | 0.5485 | 0.7406 |
| No log | 2.4638 | 170 | 0.6188 | 0.7611 | 0.6188 | 0.7866 |
| No log | 2.4928 | 172 | 0.5549 | 0.7696 | 0.5549 | 0.7449 |
| No log | 2.5217 | 174 | 0.5113 | 0.8030 | 0.5113 | 0.7151 |
| No log | 2.5507 | 176 | 0.5031 | 0.7679 | 0.5031 | 0.7093 |
| No log | 2.5797 | 178 | 0.4899 | 0.7912 | 0.4899 | 0.6999 |
| No log | 2.6087 | 180 | 0.4961 | 0.7800 | 0.4961 | 0.7043 |
| No log | 2.6377 | 182 | 0.5081 | 0.8006 | 0.5081 | 0.7128 |
| No log | 2.6667 | 184 | 0.5322 | 0.7863 | 0.5322 | 0.7295 |
| No log | 2.6957 | 186 | 0.5546 | 0.7626 | 0.5546 | 0.7447 |
| No log | 2.7246 | 188 | 0.5173 | 0.8016 | 0.5173 | 0.7192 |
| No log | 2.7536 | 190 | 0.5086 | 0.7968 | 0.5086 | 0.7131 |
| No log | 2.7826 | 192 | 0.4832 | 0.7958 | 0.4832 | 0.6951 |
| No log | 2.8116 | 194 | 0.4900 | 0.8260 | 0.4900 | 0.7000 |
| No log | 2.8406 | 196 | 0.5083 | 0.8107 | 0.5083 | 0.7129 |
| No log | 2.8696 | 198 | 0.4649 | 0.8158 | 0.4649 | 0.6818 |
| No log | 2.8986 | 200 | 0.4752 | 0.8142 | 0.4752 | 0.6893 |
| No log | 2.9275 | 202 | 0.5369 | 0.7936 | 0.5369 | 0.7327 |
| No log | 2.9565 | 204 | 0.5687 | 0.7839 | 0.5687 | 0.7541 |
| No log | 2.9855 | 206 | 0.5380 | 0.7911 | 0.5380 | 0.7335 |
| No log | 3.0145 | 208 | 0.4822 | 0.7962 | 0.4822 | 0.6944 |
| No log | 3.0435 | 210 | 0.6392 | 0.7464 | 0.6392 | 0.7995 |
| No log | 3.0725 | 212 | 0.7886 | 0.6700 | 0.7886 | 0.8880 |
| No log | 3.1014 | 214 | 0.6926 | 0.7013 | 0.6926 | 0.8322 |
| No log | 3.1304 | 216 | 0.4999 | 0.7762 | 0.4999 | 0.7071 |
| No log | 3.1594 | 218 | 0.5617 | 0.7761 | 0.5617 | 0.7494 |
| No log | 3.1884 | 220 | 0.6655 | 0.7718 | 0.6655 | 0.8158 |
| No log | 3.2174 | 222 | 0.5851 | 0.7809 | 0.5851 | 0.7649 |
| No log | 3.2464 | 224 | 0.5014 | 0.7829 | 0.5014 | 0.7081 |
| No log | 3.2754 | 226 | 0.5694 | 0.7484 | 0.5694 | 0.7546 |
| No log | 3.3043 | 228 | 0.5744 | 0.7472 | 0.5744 | 0.7579 |
| No log | 3.3333 | 230 | 0.5022 | 0.7664 | 0.5022 | 0.7086 |
| No log | 3.3623 | 232 | 0.4966 | 0.7494 | 0.4966 | 0.7047 |
| No log | 3.3913 | 234 | 0.5165 | 0.7507 | 0.5165 | 0.7187 |
| No log | 3.4203 | 236 | 0.4866 | 0.7451 | 0.4866 | 0.6976 |
| No log | 3.4493 | 238 | 0.4762 | 0.7423 | 0.4762 | 0.6901 |
| No log | 3.4783 | 240 | 0.4894 | 0.7626 | 0.4894 | 0.6996 |
| No log | 3.5072 | 242 | 0.4993 | 0.7586 | 0.4993 | 0.7066 |
| No log | 3.5362 | 244 | 0.5157 | 0.7750 | 0.5157 | 0.7181 |
| No log | 3.5652 | 246 | 0.5404 | 0.7862 | 0.5404 | 0.7351 |
| No log | 3.5942 | 248 | 0.5487 | 0.7960 | 0.5487 | 0.7407 |
| No log | 3.6232 | 250 | 0.5462 | 0.7882 | 0.5462 | 0.7390 |
| No log | 3.6522 | 252 | 0.5239 | 0.7825 | 0.5239 | 0.7238 |
| No log | 3.6812 | 254 | 0.5145 | 0.7793 | 0.5145 | 0.7173 |
| No log | 3.7101 | 256 | 0.5077 | 0.7634 | 0.5077 | 0.7125 |
| No log | 3.7391 | 258 | 0.5066 | 0.7532 | 0.5066 | 0.7117 |
| No log | 3.7681 | 260 | 0.5114 | 0.7654 | 0.5114 | 0.7152 |
| No log | 3.7971 | 262 | 0.5554 | 0.7615 | 0.5554 | 0.7453 |
| No log | 3.8261 | 264 | 0.5893 | 0.7648 | 0.5893 | 0.7676 |
| No log | 3.8551 | 266 | 0.5402 | 0.7660 | 0.5402 | 0.7350 |
| No log | 3.8841 | 268 | 0.5164 | 0.7544 | 0.5164 | 0.7186 |
| No log | 3.9130 | 270 | 0.5618 | 0.7410 | 0.5618 | 0.7496 |
| No log | 3.9420 | 272 | 0.5596 | 0.7553 | 0.5596 | 0.7481 |
| No log | 3.9710 | 274 | 0.5448 | 0.7918 | 0.5448 | 0.7381 |
| No log | 4.0 | 276 | 0.5647 | 0.7486 | 0.5647 | 0.7514 |
| No log | 4.0290 | 278 | 0.5720 | 0.7451 | 0.5720 | 0.7563 |
| No log | 4.0580 | 280 | 0.5293 | 0.7694 | 0.5293 | 0.7275 |
| No log | 4.0870 | 282 | 0.5300 | 0.7766 | 0.5300 | 0.7280 |
| No log | 4.1159 | 284 | 0.6360 | 0.7677 | 0.6360 | 0.7975 |
| No log | 4.1449 | 286 | 0.6600 | 0.7650 | 0.6600 | 0.8124 |
| No log | 4.1739 | 288 | 0.5806 | 0.7578 | 0.5806 | 0.7620 |
| No log | 4.2029 | 290 | 0.4936 | 0.7852 | 0.4936 | 0.7026 |
| No log | 4.2319 | 292 | 0.4951 | 0.7582 | 0.4951 | 0.7037 |
| No log | 4.2609 | 294 | 0.5185 | 0.7475 | 0.5185 | 0.7201 |
| No log | 4.2899 | 296 | 0.5033 | 0.7607 | 0.5033 | 0.7095 |
| No log | 4.3188 | 298 | 0.4881 | 0.7739 | 0.4881 | 0.6986 |
| No log | 4.3478 | 300 | 0.5458 | 0.7477 | 0.5458 | 0.7388 |
| No log | 4.3768 | 302 | 0.5583 | 0.7564 | 0.5583 | 0.7472 |
| No log | 4.4058 | 304 | 0.5003 | 0.7672 | 0.5003 | 0.7073 |
| No log | 4.4348 | 306 | 0.4877 | 0.7716 | 0.4877 | 0.6983 |
| No log | 4.4638 | 308 | 0.4913 | 0.7696 | 0.4913 | 0.7010 |
| No log | 4.4928 | 310 | 0.5027 | 0.7613 | 0.5027 | 0.7090 |
| No log | 4.5217 | 312 | 0.4859 | 0.7632 | 0.4859 | 0.6970 |
| No log | 4.5507 | 314 | 0.4793 | 0.7666 | 0.4793 | 0.6923 |
| No log | 4.5797 | 316 | 0.5095 | 0.7565 | 0.5095 | 0.7138 |
| No log | 4.6087 | 318 | 0.5284 | 0.7627 | 0.5284 | 0.7269 |
| No log | 4.6377 | 320 | 0.5092 | 0.7759 | 0.5092 | 0.7136 |
| No log | 4.6667 | 322 | 0.5285 | 0.7791 | 0.5285 | 0.7270 |
| No log | 4.6957 | 324 | 0.5521 | 0.7821 | 0.5521 | 0.7430 |
| No log | 4.7246 | 326 | 0.6028 | 0.7727 | 0.6028 | 0.7764 |
| No log | 4.7536 | 328 | 0.5857 | 0.7709 | 0.5857 | 0.7653 |
| No log | 4.7826 | 330 | 0.5899 | 0.7669 | 0.5899 | 0.7681 |
| No log | 4.8116 | 332 | 0.5479 | 0.7821 | 0.5479 | 0.7402 |
| No log | 4.8406 | 334 | 0.5211 | 0.7711 | 0.5211 | 0.7219 |
| No log | 4.8696 | 336 | 0.5116 | 0.7633 | 0.5116 | 0.7153 |
| No log | 4.8986 | 338 | 0.5140 | 0.7737 | 0.5140 | 0.7170 |
| No log | 4.9275 | 340 | 0.5240 | 0.7692 | 0.5240 | 0.7239 |
| No log | 4.9565 | 342 | 0.5380 | 0.7761 | 0.5380 | 0.7335 |
| No log | 4.9855 | 344 | 0.6048 | 0.7470 | 0.6048 | 0.7777 |
| No log | 5.0145 | 346 | 0.6220 | 0.7444 | 0.6220 | 0.7887 |
| No log | 5.0435 | 348 | 0.5405 | 0.7496 | 0.5405 | 0.7352 |
| No log | 5.0725 | 350 | 0.4968 | 0.7813 | 0.4968 | 0.7048 |
| No log | 5.1014 | 352 | 0.5449 | 0.7002 | 0.5449 | 0.7381 |
| No log | 5.1304 | 354 | 0.5449 | 0.7059 | 0.5449 | 0.7381 |
| No log | 5.1594 | 356 | 0.5011 | 0.7808 | 0.5011 | 0.7079 |
| No log | 5.1884 | 358 | 0.4853 | 0.7780 | 0.4853 | 0.6967 |
| No log | 5.2174 | 360 | 0.4860 | 0.7775 | 0.4860 | 0.6971 |
| No log | 5.2464 | 362 | 0.4888 | 0.7781 | 0.4888 | 0.6991 |
| No log | 5.2754 | 364 | 0.4927 | 0.8127 | 0.4927 | 0.7020 |
| No log | 5.3043 | 366 | 0.5253 | 0.7437 | 0.5253 | 0.7247 |
| No log | 5.3333 | 368 | 0.5528 | 0.7333 | 0.5528 | 0.7435 |
| No log | 5.3623 | 370 | 0.5181 | 0.7551 | 0.5181 | 0.7198 |
| No log | 5.3913 | 372 | 0.4928 | 0.7975 | 0.4928 | 0.7020 |
| No log | 5.4203 | 374 | 0.4950 | 0.7918 | 0.4950 | 0.7035 |
| No log | 5.4493 | 376 | 0.5245 | 0.7621 | 0.5245 | 0.7242 |
| No log | 5.4783 | 378 | 0.5201 | 0.7686 | 0.5201 | 0.7212 |
| No log | 5.5072 | 380 | 0.4929 | 0.7720 | 0.4929 | 0.7020 |
| No log | 5.5362 | 382 | 0.5041 | 0.7664 | 0.5041 | 0.7100 |
| No log | 5.5652 | 384 | 0.5175 | 0.7716 | 0.5175 | 0.7194 |
| No log | 5.5942 | 386 | 0.5052 | 0.7677 | 0.5052 | 0.7108 |
| No log | 5.6232 | 388 | 0.5354 | 0.7593 | 0.5354 | 0.7317 |
| No log | 5.6522 | 390 | 0.5784 | 0.7552 | 0.5784 | 0.7605 |
| No log | 5.6812 | 392 | 0.5665 | 0.7542 | 0.5665 | 0.7526 |
| No log | 5.7101 | 394 | 0.5440 | 0.7682 | 0.5440 | 0.7375 |
| No log | 5.7391 | 396 | 0.5288 | 0.7816 | 0.5288 | 0.7272 |
| No log | 5.7681 | 398 | 0.5494 | 0.7528 | 0.5494 | 0.7412 |
| No log | 5.7971 | 400 | 0.5632 | 0.7496 | 0.5632 | 0.7505 |
| No log | 5.8261 | 402 | 0.5502 | 0.7640 | 0.5502 | 0.7418 |
| No log | 5.8551 | 404 | 0.5368 | 0.7699 | 0.5368 | 0.7327 |
| No log | 5.8841 | 406 | 0.5484 | 0.7548 | 0.5484 | 0.7405 |
| No log | 5.9130 | 408 | 0.5538 | 0.7541 | 0.5538 | 0.7442 |
| No log | 5.9420 | 410 | 0.5389 | 0.7767 | 0.5389 | 0.7341 |
| No log | 5.9710 | 412 | 0.5406 | 0.7714 | 0.5406 | 0.7353 |
| No log | 6.0 | 414 | 0.5427 | 0.7737 | 0.5427 | 0.7367 |
| No log | 6.0290 | 416 | 0.5325 | 0.7648 | 0.5325 | 0.7297 |
| No log | 6.0580 | 418 | 0.5269 | 0.7599 | 0.5269 | 0.7259 |
| No log | 6.0870 | 420 | 0.5295 | 0.7736 | 0.5295 | 0.7277 |
| No log | 6.1159 | 422 | 0.5325 | 0.7736 | 0.5325 | 0.7298 |
| No log | 6.1449 | 424 | 0.5380 | 0.7659 | 0.5380 | 0.7335 |
| No log | 6.1739 | 426 | 0.5251 | 0.7662 | 0.5251 | 0.7247 |
| No log | 6.2029 | 428 | 0.5177 | 0.7632 | 0.5177 | 0.7195 |
| No log | 6.2319 | 430 | 0.5142 | 0.7511 | 0.5142 | 0.7171 |
| No log | 6.2609 | 432 | 0.5159 | 0.7504 | 0.5159 | 0.7183 |
| No log | 6.2899 | 434 | 0.5182 | 0.7441 | 0.5182 | 0.7199 |
| No log | 6.3188 | 436 | 0.5100 | 0.7504 | 0.5100 | 0.7142 |
| No log | 6.3478 | 438 | 0.5097 | 0.7711 | 0.5097 | 0.7139 |
| No log | 6.3768 | 440 | 0.5137 | 0.7641 | 0.5137 | 0.7168 |
| No log | 6.4058 | 442 | 0.5185 | 0.7533 | 0.5185 | 0.7201 |
| No log | 6.4348 | 444 | 0.5120 | 0.7711 | 0.5120 | 0.7155 |
| No log | 6.4638 | 446 | 0.5090 | 0.7701 | 0.5090 | 0.7135 |
| No log | 6.4928 | 448 | 0.5086 | 0.7725 | 0.5086 | 0.7132 |
| No log | 6.5217 | 450 | 0.5098 | 0.7736 | 0.5098 | 0.7140 |
| No log | 6.5507 | 452 | 0.5126 | 0.7596 | 0.5126 | 0.7160 |
| No log | 6.5797 | 454 | 0.5121 | 0.7596 | 0.5121 | 0.7156 |
| No log | 6.6087 | 456 | 0.5081 | 0.7706 | 0.5081 | 0.7128 |
| No log | 6.6377 | 458 | 0.5172 | 0.7570 | 0.5172 | 0.7192 |
| No log | 6.6667 | 460 | 0.5202 | 0.7570 | 0.5202 | 0.7213 |
| No log | 6.6957 | 462 | 0.5061 | 0.7666 | 0.5061 | 0.7114 |
| No log | 6.7246 | 464 | 0.5047 | 0.7749 | 0.5047 | 0.7104 |
| No log | 6.7536 | 466 | 0.5108 | 0.7666 | 0.5108 | 0.7147 |
| No log | 6.7826 | 468 | 0.5253 | 0.7551 | 0.5253 | 0.7247 |
| No log | 6.8116 | 470 | 0.5399 | 0.7562 | 0.5399 | 0.7348 |
| No log | 6.8406 | 472 | 0.5334 | 0.7538 | 0.5334 | 0.7303 |
| No log | 6.8696 | 474 | 0.5320 | 0.7763 | 0.5320 | 0.7294 |
| No log | 6.8986 | 476 | 0.5339 | 0.7786 | 0.5339 | 0.7307 |
| No log | 6.9275 | 478 | 0.5337 | 0.7447 | 0.5337 | 0.7305 |
| No log | 6.9565 | 480 | 0.5357 | 0.7420 | 0.5357 | 0.7319 |
| No log | 6.9855 | 482 | 0.5357 | 0.7538 | 0.5357 | 0.7319 |
| No log | 7.0145 | 484 | 0.5377 | 0.7551 | 0.5377 | 0.7333 |
| No log | 7.0435 | 486 | 0.5287 | 0.7512 | 0.5287 | 0.7271 |
| No log | 7.0725 | 488 | 0.5253 | 0.7576 | 0.5253 | 0.7248 |
| No log | 7.1014 | 490 | 0.5304 | 0.7270 | 0.5304 | 0.7283 |
| No log | 7.1304 | 492 | 0.5257 | 0.7488 | 0.5257 | 0.7251 |
| No log | 7.1594 | 494 | 0.5209 | 0.7652 | 0.5209 | 0.7217 |
| No log | 7.1884 | 496 | 0.5223 | 0.7652 | 0.5223 | 0.7227 |
| No log | 7.2174 | 498 | 0.5211 | 0.7632 | 0.5211 | 0.7219 |
| 0.4279 | 7.2464 | 500 | 0.5212 | 0.7643 | 0.5212 | 0.7219 |
| 0.4279 | 7.2754 | 502 | 0.5213 | 0.7618 | 0.5213 | 0.7220 |
| 0.4279 | 7.3043 | 504 | 0.5242 | 0.7666 | 0.5242 | 0.7240 |
| 0.4279 | 7.3333 | 506 | 0.5264 | 0.7597 | 0.5264 | 0.7256 |
| 0.4279 | 7.3623 | 508 | 0.5325 | 0.7529 | 0.5325 | 0.7297 |
| 0.4279 | 7.3913 | 510 | 0.5295 | 0.7655 | 0.5295 | 0.7277 |
| 0.4279 | 7.4203 | 512 | 0.5236 | 0.7616 | 0.5236 | 0.7236 |
| 0.4279 | 7.4493 | 514 | 0.5253 | 0.7616 | 0.5253 | 0.7248 |
| 0.4279 | 7.4783 | 516 | 0.5172 | 0.7641 | 0.5172 | 0.7192 |
| 0.4279 | 7.5072 | 518 | 0.5128 | 0.7686 | 0.5128 | 0.7161 |
| 0.4279 | 7.5362 | 520 | 0.5126 | 0.7686 | 0.5126 | 0.7160 |
| 0.4279 | 7.5652 | 522 | 0.5186 | 0.7616 | 0.5186 | 0.7201 |
| 0.4279 | 7.5942 | 524 | 0.5159 | 0.7641 | 0.5159 | 0.7183 |
| 0.4279 | 7.6232 | 526 | 0.5142 | 0.7622 | 0.5142 | 0.7171 |
| 0.4279 | 7.6522 | 528 | 0.5149 | 0.7838 | 0.5149 | 0.7176 |
| 0.4279 | 7.6812 | 530 | 0.5164 | 0.7638 | 0.5164 | 0.7186 |
| 0.4279 | 7.7101 | 532 | 0.5157 | 0.7741 | 0.5157 | 0.7181 |
| 0.4279 | 7.7391 | 534 | 0.5141 | 0.7676 | 0.5141 | 0.7170 |
| 0.4279 | 7.7681 | 536 | 0.5177 | 0.7597 | 0.5177 | 0.7195 |
| 0.4279 | 7.7971 | 538 | 0.5236 | 0.7491 | 0.5236 | 0.7236 |
| 0.4279 | 7.8261 | 540 | 0.5276 | 0.7441 | 0.5276 | 0.7263 |
| 0.4279 | 7.8551 | 542 | 0.5273 | 0.7480 | 0.5273 | 0.7262 |
| 0.4279 | 7.8841 | 544 | 0.5304 | 0.7480 | 0.5304 | 0.7283 |
| 0.4279 | 7.9130 | 546 | 0.5250 | 0.7529 | 0.5250 | 0.7246 |
| 0.4279 | 7.9420 | 548 | 0.5179 | 0.7597 | 0.5179 | 0.7197 |
| 0.4279 | 7.9710 | 550 | 0.5154 | 0.7608 | 0.5154 | 0.7179 |
| 0.4279 | 8.0 | 552 | 0.5140 | 0.7608 | 0.5140 | 0.7169 |
| 0.4279 | 8.0290 | 554 | 0.5133 | 0.7734 | 0.5133 | 0.7164 |
| 0.4279 | 8.0580 | 556 | 0.5131 | 0.7608 | 0.5131 | 0.7163 |
| 0.4279 | 8.0870 | 558 | 0.5150 | 0.7583 | 0.5150 | 0.7176 |
| 0.4279 | 8.1159 | 560 | 0.5191 | 0.7557 | 0.5191 | 0.7205 |
| 0.4279 | 8.1449 | 562 | 0.5271 | 0.7591 | 0.5271 | 0.7260 |
| 0.4279 | 8.1739 | 564 | 0.5348 | 0.7639 | 0.5348 | 0.7313 |
| 0.4279 | 8.2029 | 566 | 0.5319 | 0.7625 | 0.5319 | 0.7293 |
| 0.4279 | 8.2319 | 568 | 0.5198 | 0.7596 | 0.5198 | 0.7210 |
| 0.4279 | 8.2609 | 570 | 0.5135 | 0.7499 | 0.5135 | 0.7166 |
| 0.4279 | 8.2899 | 572 | 0.5108 | 0.7617 | 0.5108 | 0.7147 |
| 0.4279 | 8.3188 | 574 | 0.5109 | 0.7696 | 0.5109 | 0.7147 |
| 0.4279 | 8.3478 | 576 | 0.5146 | 0.7627 | 0.5146 | 0.7174 |
| 0.4279 | 8.3768 | 578 | 0.5159 | 0.7627 | 0.5159 | 0.7183 |
| 0.4279 | 8.4058 | 580 | 0.5158 | 0.7589 | 0.5158 | 0.7182 |
| 0.4279 | 8.4348 | 582 | 0.5184 | 0.7589 | 0.5184 | 0.7200 |
| 0.4279 | 8.4638 | 584 | 0.5238 | 0.7598 | 0.5238 | 0.7237 |
| 0.4279 | 8.4928 | 586 | 0.5277 | 0.7506 | 0.5277 | 0.7264 |
| 0.4279 | 8.5217 | 588 | 0.5310 | 0.7564 | 0.5310 | 0.7287 |
| 0.4279 | 8.5507 | 590 | 0.5298 | 0.7488 | 0.5298 | 0.7279 |
| 0.4279 | 8.5797 | 592 | 0.5245 | 0.7579 | 0.5245 | 0.7242 |
| 0.4279 | 8.6087 | 594 | 0.5206 | 0.7608 | 0.5206 | 0.7215 |
| 0.4279 | 8.6377 | 596 | 0.5183 | 0.7695 | 0.5183 | 0.7199 |
| 0.4279 | 8.6667 | 598 | 0.5178 | 0.7695 | 0.5178 | 0.7196 |
| 0.4279 | 8.6957 | 600 | 0.5181 | 0.7768 | 0.5181 | 0.7198 |
| 0.4279 | 8.7246 | 602 | 0.5191 | 0.7667 | 0.5191 | 0.7205 |
| 0.4279 | 8.7536 | 604 | 0.5172 | 0.7768 | 0.5172 | 0.7192 |
| 0.4279 | 8.7826 | 606 | 0.5163 | 0.7695 | 0.5163 | 0.7186 |
| 0.4279 | 8.8116 | 608 | 0.5177 | 0.7652 | 0.5177 | 0.7195 |
| 0.4279 | 8.8406 | 610 | 0.5185 | 0.7628 | 0.5185 | 0.7201 |
| 0.4279 | 8.8696 | 612 | 0.5184 | 0.7681 | 0.5184 | 0.7200 |
| 0.4279 | 8.8986 | 614 | 0.5195 | 0.7657 | 0.5195 | 0.7207 |
| 0.4279 | 8.9275 | 616 | 0.5205 | 0.7615 | 0.5205 | 0.7215 |
| 0.4279 | 8.9565 | 618 | 0.5218 | 0.7615 | 0.5218 | 0.7224 |
| 0.4279 | 8.9855 | 620 | 0.5240 | 0.7610 | 0.5240 | 0.7238 |
| 0.4279 | 9.0145 | 622 | 0.5286 | 0.7522 | 0.5286 | 0.7270 |
| 0.4279 | 9.0435 | 624 | 0.5314 | 0.7550 | 0.5314 | 0.7289 |
| 0.4279 | 9.0725 | 626 | 0.5360 | 0.7622 | 0.5360 | 0.7321 |
| 0.4279 | 9.1014 | 628 | 0.5421 | 0.7673 | 0.5421 | 0.7363 |
| 0.4279 | 9.1304 | 630 | 0.5468 | 0.7710 | 0.5468 | 0.7394 |
| 0.4279 | 9.1594 | 632 | 0.5477 | 0.7710 | 0.5477 | 0.7400 |
| 0.4279 | 9.1884 | 634 | 0.5463 | 0.7710 | 0.5463 | 0.7391 |
| 0.4279 | 9.2174 | 636 | 0.5407 | 0.7598 | 0.5407 | 0.7353 |
| 0.4279 | 9.2464 | 638 | 0.5326 | 0.7544 | 0.5326 | 0.7298 |
| 0.4279 | 9.2754 | 640 | 0.5277 | 0.7588 | 0.5277 | 0.7265 |
| 0.4279 | 9.3043 | 642 | 0.5249 | 0.7588 | 0.5249 | 0.7245 |
| 0.4279 | 9.3333 | 644 | 0.5245 | 0.7588 | 0.5245 | 0.7242 |
| 0.4279 | 9.3623 | 646 | 0.5249 | 0.7544 | 0.5249 | 0.7245 |
| 0.4279 | 9.3913 | 648 | 0.5229 | 0.7588 | 0.5229 | 0.7231 |
| 0.4279 | 9.4203 | 650 | 0.5205 | 0.7680 | 0.5205 | 0.7214 |
| 0.4279 | 9.4493 | 652 | 0.5184 | 0.7622 | 0.5184 | 0.7200 |
| 0.4279 | 9.4783 | 654 | 0.5158 | 0.7622 | 0.5158 | 0.7182 |
| 0.4279 | 9.5072 | 656 | 0.5148 | 0.7622 | 0.5148 | 0.7175 |
| 0.4279 | 9.5362 | 658 | 0.5152 | 0.7622 | 0.5152 | 0.7178 |
| 0.4279 | 9.5652 | 660 | 0.5160 | 0.7622 | 0.5160 | 0.7184 |
| 0.4279 | 9.5942 | 662 | 0.5180 | 0.7680 | 0.5180 | 0.7197 |
| 0.4279 | 9.6232 | 664 | 0.5193 | 0.7719 | 0.5193 | 0.7206 |
| 0.4279 | 9.6522 | 666 | 0.5199 | 0.7650 | 0.5199 | 0.7210 |
| 0.4279 | 9.6812 | 668 | 0.5193 | 0.7675 | 0.5193 | 0.7206 |
| 0.4279 | 9.7101 | 670 | 0.5180 | 0.7719 | 0.5180 | 0.7197 |
| 0.4279 | 9.7391 | 672 | 0.5173 | 0.7680 | 0.5173 | 0.7192 |
| 0.4279 | 9.7681 | 674 | 0.5161 | 0.7680 | 0.5161 | 0.7184 |
| 0.4279 | 9.7971 | 676 | 0.5157 | 0.7622 | 0.5157 | 0.7181 |
| 0.4279 | 9.8261 | 678 | 0.5156 | 0.7622 | 0.5156 | 0.7181 |
| 0.4279 | 9.8551 | 680 | 0.5156 | 0.7622 | 0.5156 | 0.7180 |
| 0.4279 | 9.8841 | 682 | 0.5157 | 0.7680 | 0.5157 | 0.7181 |
| 0.4279 | 9.9130 | 684 | 0.5158 | 0.7680 | 0.5158 | 0.7182 |
| 0.4279 | 9.9420 | 686 | 0.5158 | 0.7680 | 0.5158 | 0.7182 |
| 0.4279 | 9.9710 | 688 | 0.5158 | 0.7680 | 0.5158 | 0.7182 |
| 0.4279 | 10.0 | 690 | 0.5158 | 0.7680 | 0.5158 | 0.7182 |
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_run2_AugV5_k12_task1_organization
Base model
aubmindlab/bert-base-arabertv02