Instructions to use MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k2_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k2_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k2_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k2_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k2_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k2_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: 0.9546
- Qwk: 0.4713
- Mse: 0.9546
- Rmse: 0.9770
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: 16
- eval_batch_size: 16
- 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 | 0.2857 | 2 | 6.3965 | -0.0278 | 6.3966 | 2.5291 |
| No log | 0.5714 | 4 | 4.2632 | -0.0253 | 4.2632 | 2.0647 |
| No log | 0.8571 | 6 | 2.9354 | 0.0309 | 2.9354 | 1.7133 |
| No log | 1.1429 | 8 | 2.0589 | 0.0457 | 2.0589 | 1.4349 |
| No log | 1.4286 | 10 | 1.3639 | 0.1123 | 1.3639 | 1.1679 |
| No log | 1.7143 | 12 | 0.9644 | 0.0640 | 0.9644 | 0.9821 |
| No log | 2.0 | 14 | 0.7994 | 0.1170 | 0.7994 | 0.8941 |
| No log | 2.2857 | 16 | 0.7457 | 0.1591 | 0.7457 | 0.8636 |
| No log | 2.5714 | 18 | 0.6973 | 0.2693 | 0.6973 | 0.8350 |
| No log | 2.8571 | 20 | 0.6474 | 0.2968 | 0.6474 | 0.8046 |
| No log | 3.1429 | 22 | 0.6350 | 0.3222 | 0.6350 | 0.7968 |
| No log | 3.4286 | 24 | 0.6536 | 0.2463 | 0.6536 | 0.8085 |
| No log | 3.7143 | 26 | 0.6852 | 0.2333 | 0.6852 | 0.8278 |
| No log | 4.0 | 28 | 0.7400 | 0.2253 | 0.7400 | 0.8602 |
| No log | 4.2857 | 30 | 0.7424 | 0.2333 | 0.7424 | 0.8616 |
| No log | 4.5714 | 32 | 0.7056 | 0.2532 | 0.7056 | 0.8400 |
| No log | 4.8571 | 34 | 0.6967 | 0.2175 | 0.6967 | 0.8347 |
| No log | 5.1429 | 36 | 0.6623 | 0.3058 | 0.6623 | 0.8138 |
| No log | 5.4286 | 38 | 0.6141 | 0.4405 | 0.6141 | 0.7836 |
| No log | 5.7143 | 40 | 0.5823 | 0.4037 | 0.5823 | 0.7631 |
| No log | 6.0 | 42 | 0.5719 | 0.4250 | 0.5719 | 0.7563 |
| No log | 6.2857 | 44 | 0.5665 | 0.4192 | 0.5665 | 0.7527 |
| No log | 6.5714 | 46 | 0.5733 | 0.3697 | 0.5733 | 0.7572 |
| No log | 6.8571 | 48 | 0.5755 | 0.3969 | 0.5755 | 0.7586 |
| No log | 7.1429 | 50 | 0.5786 | 0.4373 | 0.5786 | 0.7607 |
| No log | 7.4286 | 52 | 0.5667 | 0.4429 | 0.5667 | 0.7528 |
| No log | 7.7143 | 54 | 0.5547 | 0.4400 | 0.5547 | 0.7448 |
| No log | 8.0 | 56 | 0.5559 | 0.4429 | 0.5559 | 0.7456 |
| No log | 8.2857 | 58 | 0.5573 | 0.4759 | 0.5573 | 0.7466 |
| No log | 8.5714 | 60 | 0.5657 | 0.4676 | 0.5657 | 0.7521 |
| No log | 8.8571 | 62 | 0.5593 | 0.4400 | 0.5593 | 0.7479 |
| No log | 9.1429 | 64 | 0.5568 | 0.4478 | 0.5568 | 0.7462 |
| No log | 9.4286 | 66 | 0.5511 | 0.4669 | 0.5511 | 0.7424 |
| No log | 9.7143 | 68 | 0.5458 | 0.4751 | 0.5458 | 0.7388 |
| No log | 10.0 | 70 | 0.5573 | 0.4794 | 0.5573 | 0.7465 |
| No log | 10.2857 | 72 | 0.5512 | 0.4688 | 0.5512 | 0.7424 |
| No log | 10.5714 | 74 | 0.5467 | 0.4968 | 0.5467 | 0.7394 |
| No log | 10.8571 | 76 | 0.5639 | 0.4916 | 0.5639 | 0.7510 |
| No log | 11.1429 | 78 | 0.5714 | 0.4665 | 0.5714 | 0.7559 |
| No log | 11.4286 | 80 | 0.5927 | 0.4609 | 0.5927 | 0.7699 |
| No log | 11.7143 | 82 | 0.6054 | 0.4707 | 0.6054 | 0.7781 |
| No log | 12.0 | 84 | 0.5673 | 0.4629 | 0.5673 | 0.7532 |
| No log | 12.2857 | 86 | 0.5550 | 0.5254 | 0.5550 | 0.7450 |
| No log | 12.5714 | 88 | 0.5539 | 0.5283 | 0.5539 | 0.7443 |
| No log | 12.8571 | 90 | 0.5769 | 0.5416 | 0.5769 | 0.7595 |
| No log | 13.1429 | 92 | 0.5996 | 0.5128 | 0.5996 | 0.7743 |
| No log | 13.4286 | 94 | 0.6222 | 0.4979 | 0.6222 | 0.7888 |
| No log | 13.7143 | 96 | 0.6616 | 0.4473 | 0.6616 | 0.8134 |
| No log | 14.0 | 98 | 0.6695 | 0.4799 | 0.6695 | 0.8182 |
| No log | 14.2857 | 100 | 0.6621 | 0.4844 | 0.6621 | 0.8137 |
| No log | 14.5714 | 102 | 0.6780 | 0.4703 | 0.6780 | 0.8234 |
| No log | 14.8571 | 104 | 0.6962 | 0.4796 | 0.6962 | 0.8344 |
| No log | 15.1429 | 106 | 0.6530 | 0.5471 | 0.6530 | 0.8081 |
| No log | 15.4286 | 108 | 0.6211 | 0.5585 | 0.6211 | 0.7881 |
| No log | 15.7143 | 110 | 0.6305 | 0.5504 | 0.6305 | 0.7940 |
| No log | 16.0 | 112 | 0.6818 | 0.5243 | 0.6818 | 0.8257 |
| No log | 16.2857 | 114 | 0.7240 | 0.5051 | 0.7240 | 0.8509 |
| No log | 16.5714 | 116 | 0.7598 | 0.4815 | 0.7598 | 0.8717 |
| No log | 16.8571 | 118 | 0.7529 | 0.4991 | 0.7529 | 0.8677 |
| No log | 17.1429 | 120 | 0.7575 | 0.5023 | 0.7575 | 0.8703 |
| No log | 17.4286 | 122 | 0.7570 | 0.5037 | 0.7570 | 0.8701 |
| No log | 17.7143 | 124 | 0.7506 | 0.5197 | 0.7506 | 0.8664 |
| No log | 18.0 | 126 | 0.7326 | 0.5111 | 0.7326 | 0.8559 |
| No log | 18.2857 | 128 | 0.7173 | 0.5373 | 0.7173 | 0.8469 |
| No log | 18.5714 | 130 | 0.7100 | 0.5121 | 0.7100 | 0.8426 |
| No log | 18.8571 | 132 | 0.6833 | 0.5569 | 0.6833 | 0.8266 |
| No log | 19.1429 | 134 | 0.6983 | 0.5266 | 0.6983 | 0.8357 |
| No log | 19.4286 | 136 | 0.7207 | 0.5181 | 0.7207 | 0.8490 |
| No log | 19.7143 | 138 | 0.7106 | 0.4960 | 0.7106 | 0.8430 |
| No log | 20.0 | 140 | 0.6855 | 0.5569 | 0.6855 | 0.8280 |
| No log | 20.2857 | 142 | 0.6864 | 0.5754 | 0.6864 | 0.8285 |
| No log | 20.5714 | 144 | 0.7150 | 0.5582 | 0.7150 | 0.8456 |
| No log | 20.8571 | 146 | 0.7525 | 0.5277 | 0.7525 | 0.8675 |
| No log | 21.1429 | 148 | 0.7623 | 0.4848 | 0.7623 | 0.8731 |
| No log | 21.4286 | 150 | 0.7447 | 0.4968 | 0.7447 | 0.8630 |
| No log | 21.7143 | 152 | 0.7371 | 0.5303 | 0.7371 | 0.8585 |
| No log | 22.0 | 154 | 0.7513 | 0.5540 | 0.7513 | 0.8668 |
| No log | 22.2857 | 156 | 0.7740 | 0.4952 | 0.7740 | 0.8798 |
| No log | 22.5714 | 158 | 0.7741 | 0.4911 | 0.7741 | 0.8798 |
| No log | 22.8571 | 160 | 0.7459 | 0.5764 | 0.7459 | 0.8637 |
| No log | 23.1429 | 162 | 0.7469 | 0.5345 | 0.7469 | 0.8642 |
| No log | 23.4286 | 164 | 0.7546 | 0.5272 | 0.7546 | 0.8687 |
| No log | 23.7143 | 166 | 0.7783 | 0.5056 | 0.7783 | 0.8822 |
| No log | 24.0 | 168 | 0.7860 | 0.4764 | 0.7860 | 0.8865 |
| No log | 24.2857 | 170 | 0.7762 | 0.5108 | 0.7762 | 0.8810 |
| No log | 24.5714 | 172 | 0.7766 | 0.5309 | 0.7766 | 0.8812 |
| No log | 24.8571 | 174 | 0.7817 | 0.5256 | 0.7817 | 0.8841 |
| No log | 25.1429 | 176 | 0.7891 | 0.5282 | 0.7891 | 0.8883 |
| No log | 25.4286 | 178 | 0.7962 | 0.5351 | 0.7962 | 0.8923 |
| No log | 25.7143 | 180 | 0.7661 | 0.5487 | 0.7661 | 0.8753 |
| No log | 26.0 | 182 | 0.7448 | 0.5696 | 0.7448 | 0.8630 |
| No log | 26.2857 | 184 | 0.7402 | 0.5333 | 0.7402 | 0.8603 |
| No log | 26.5714 | 186 | 0.7097 | 0.5395 | 0.7097 | 0.8425 |
| No log | 26.8571 | 188 | 0.7060 | 0.5395 | 0.7060 | 0.8403 |
| No log | 27.1429 | 190 | 0.7449 | 0.5614 | 0.7449 | 0.8630 |
| No log | 27.4286 | 192 | 0.8113 | 0.4836 | 0.8113 | 0.9007 |
| No log | 27.7143 | 194 | 0.8677 | 0.4882 | 0.8677 | 0.9315 |
| No log | 28.0 | 196 | 0.8850 | 0.4904 | 0.8850 | 0.9408 |
| No log | 28.2857 | 198 | 0.8638 | 0.4855 | 0.8638 | 0.9294 |
| No log | 28.5714 | 200 | 0.8382 | 0.4602 | 0.8382 | 0.9156 |
| No log | 28.8571 | 202 | 0.8266 | 0.4915 | 0.8266 | 0.9091 |
| No log | 29.1429 | 204 | 0.8038 | 0.5076 | 0.8038 | 0.8966 |
| No log | 29.4286 | 206 | 0.8100 | 0.5115 | 0.8100 | 0.9000 |
| No log | 29.7143 | 208 | 0.8159 | 0.4775 | 0.8159 | 0.9033 |
| No log | 30.0 | 210 | 0.8290 | 0.4641 | 0.8290 | 0.9105 |
| No log | 30.2857 | 212 | 0.8355 | 0.4789 | 0.8355 | 0.9141 |
| No log | 30.5714 | 214 | 0.8661 | 0.5035 | 0.8661 | 0.9306 |
| No log | 30.8571 | 216 | 0.8719 | 0.4700 | 0.8719 | 0.9337 |
| No log | 31.1429 | 218 | 0.8535 | 0.4621 | 0.8535 | 0.9238 |
| No log | 31.4286 | 220 | 0.8185 | 0.4826 | 0.8185 | 0.9047 |
| No log | 31.7143 | 222 | 0.7599 | 0.5375 | 0.7599 | 0.8717 |
| No log | 32.0 | 224 | 0.7385 | 0.5438 | 0.7385 | 0.8594 |
| No log | 32.2857 | 226 | 0.7754 | 0.5425 | 0.7754 | 0.8805 |
| No log | 32.5714 | 228 | 0.8384 | 0.5453 | 0.8384 | 0.9156 |
| No log | 32.8571 | 230 | 0.8771 | 0.5204 | 0.8771 | 0.9365 |
| No log | 33.1429 | 232 | 0.9012 | 0.5124 | 0.9012 | 0.9493 |
| No log | 33.4286 | 234 | 0.9065 | 0.5027 | 0.9065 | 0.9521 |
| No log | 33.7143 | 236 | 0.8880 | 0.5136 | 0.8880 | 0.9424 |
| No log | 34.0 | 238 | 0.8393 | 0.5142 | 0.8393 | 0.9161 |
| No log | 34.2857 | 240 | 0.8098 | 0.5104 | 0.8098 | 0.8999 |
| No log | 34.5714 | 242 | 0.8291 | 0.5090 | 0.8291 | 0.9106 |
| No log | 34.8571 | 244 | 0.8317 | 0.5090 | 0.8317 | 0.9120 |
| No log | 35.1429 | 246 | 0.8333 | 0.5248 | 0.8333 | 0.9129 |
| No log | 35.4286 | 248 | 0.8182 | 0.5125 | 0.8182 | 0.9045 |
| No log | 35.7143 | 250 | 0.8176 | 0.5075 | 0.8176 | 0.9042 |
| No log | 36.0 | 252 | 0.8325 | 0.5083 | 0.8325 | 0.9124 |
| No log | 36.2857 | 254 | 0.8504 | 0.4800 | 0.8504 | 0.9222 |
| No log | 36.5714 | 256 | 0.8540 | 0.4654 | 0.8540 | 0.9241 |
| No log | 36.8571 | 258 | 0.8336 | 0.4921 | 0.8336 | 0.9130 |
| No log | 37.1429 | 260 | 0.7908 | 0.5075 | 0.7908 | 0.8893 |
| No log | 37.4286 | 262 | 0.7674 | 0.5237 | 0.7674 | 0.8760 |
| No log | 37.7143 | 264 | 0.7585 | 0.5481 | 0.7585 | 0.8709 |
| No log | 38.0 | 266 | 0.7547 | 0.5343 | 0.7547 | 0.8687 |
| No log | 38.2857 | 268 | 0.7422 | 0.5343 | 0.7422 | 0.8615 |
| No log | 38.5714 | 270 | 0.7461 | 0.5481 | 0.7461 | 0.8638 |
| No log | 38.8571 | 272 | 0.7662 | 0.5005 | 0.7662 | 0.8753 |
| No log | 39.1429 | 274 | 0.7939 | 0.4695 | 0.7939 | 0.8910 |
| No log | 39.4286 | 276 | 0.8142 | 0.4724 | 0.8142 | 0.9023 |
| No log | 39.7143 | 278 | 0.8154 | 0.4797 | 0.8154 | 0.9030 |
| No log | 40.0 | 280 | 0.8046 | 0.4781 | 0.8046 | 0.8970 |
| No log | 40.2857 | 282 | 0.7979 | 0.4445 | 0.7979 | 0.8933 |
| No log | 40.5714 | 284 | 0.8040 | 0.4546 | 0.8040 | 0.8966 |
| No log | 40.8571 | 286 | 0.8042 | 0.4698 | 0.8042 | 0.8968 |
| No log | 41.1429 | 288 | 0.7903 | 0.4445 | 0.7903 | 0.8890 |
| No log | 41.4286 | 290 | 0.7968 | 0.4693 | 0.7968 | 0.8926 |
| No log | 41.7143 | 292 | 0.8121 | 0.4803 | 0.8121 | 0.9012 |
| No log | 42.0 | 294 | 0.8114 | 0.4940 | 0.8114 | 0.9008 |
| No log | 42.2857 | 296 | 0.7963 | 0.4809 | 0.7963 | 0.8924 |
| No log | 42.5714 | 298 | 0.7849 | 0.4933 | 0.7849 | 0.8860 |
| No log | 42.8571 | 300 | 0.7852 | 0.5278 | 0.7852 | 0.8861 |
| No log | 43.1429 | 302 | 0.7814 | 0.5024 | 0.7814 | 0.8840 |
| No log | 43.4286 | 304 | 0.7913 | 0.5368 | 0.7913 | 0.8895 |
| No log | 43.7143 | 306 | 0.8086 | 0.5532 | 0.8086 | 0.8992 |
| No log | 44.0 | 308 | 0.8049 | 0.5024 | 0.8049 | 0.8972 |
| No log | 44.2857 | 310 | 0.8066 | 0.5193 | 0.8066 | 0.8981 |
| No log | 44.5714 | 312 | 0.8296 | 0.5206 | 0.8296 | 0.9108 |
| No log | 44.8571 | 314 | 0.8438 | 0.5072 | 0.8438 | 0.9186 |
| No log | 45.1429 | 316 | 0.8560 | 0.4647 | 0.8560 | 0.9252 |
| No log | 45.4286 | 318 | 0.8806 | 0.4543 | 0.8806 | 0.9384 |
| No log | 45.7143 | 320 | 0.8836 | 0.4594 | 0.8836 | 0.9400 |
| No log | 46.0 | 322 | 0.8715 | 0.4546 | 0.8715 | 0.9335 |
| No log | 46.2857 | 324 | 0.8449 | 0.4698 | 0.8449 | 0.9192 |
| No log | 46.5714 | 326 | 0.8225 | 0.4972 | 0.8225 | 0.9069 |
| No log | 46.8571 | 328 | 0.8078 | 0.4781 | 0.8078 | 0.8988 |
| No log | 47.1429 | 330 | 0.8031 | 0.5127 | 0.8031 | 0.8962 |
| No log | 47.4286 | 332 | 0.8214 | 0.5311 | 0.8214 | 0.9063 |
| No log | 47.7143 | 334 | 0.8362 | 0.4889 | 0.8362 | 0.9144 |
| No log | 48.0 | 336 | 0.8386 | 0.4898 | 0.8386 | 0.9157 |
| No log | 48.2857 | 338 | 0.8297 | 0.5012 | 0.8297 | 0.9109 |
| No log | 48.5714 | 340 | 0.8364 | 0.5012 | 0.8364 | 0.9145 |
| No log | 48.8571 | 342 | 0.8536 | 0.5012 | 0.8536 | 0.9239 |
| No log | 49.1429 | 344 | 0.8750 | 0.5113 | 0.8750 | 0.9354 |
| No log | 49.4286 | 346 | 0.8846 | 0.5145 | 0.8846 | 0.9405 |
| No log | 49.7143 | 348 | 0.8774 | 0.5093 | 0.8774 | 0.9367 |
| No log | 50.0 | 350 | 0.8717 | 0.5213 | 0.8717 | 0.9336 |
| No log | 50.2857 | 352 | 0.8802 | 0.5282 | 0.8802 | 0.9382 |
| No log | 50.5714 | 354 | 0.8874 | 0.4676 | 0.8874 | 0.9420 |
| No log | 50.8571 | 356 | 0.9033 | 0.4472 | 0.9033 | 0.9504 |
| No log | 51.1429 | 358 | 0.9047 | 0.4635 | 0.9047 | 0.9512 |
| No log | 51.4286 | 360 | 0.9183 | 0.4635 | 0.9183 | 0.9583 |
| No log | 51.7143 | 362 | 0.9380 | 0.4535 | 0.9380 | 0.9685 |
| No log | 52.0 | 364 | 0.9563 | 0.4590 | 0.9563 | 0.9779 |
| No log | 52.2857 | 366 | 0.9598 | 0.4560 | 0.9598 | 0.9797 |
| No log | 52.5714 | 368 | 0.9538 | 0.4441 | 0.9538 | 0.9766 |
| No log | 52.8571 | 370 | 0.9510 | 0.4439 | 0.9510 | 0.9752 |
| No log | 53.1429 | 372 | 0.9288 | 0.4454 | 0.9288 | 0.9637 |
| No log | 53.4286 | 374 | 0.9115 | 0.4405 | 0.9115 | 0.9547 |
| No log | 53.7143 | 376 | 0.9144 | 0.4521 | 0.9144 | 0.9563 |
| No log | 54.0 | 378 | 0.9254 | 0.4388 | 0.9254 | 0.9620 |
| No log | 54.2857 | 380 | 0.9404 | 0.4548 | 0.9404 | 0.9698 |
| No log | 54.5714 | 382 | 0.9577 | 0.4493 | 0.9577 | 0.9786 |
| No log | 54.8571 | 384 | 0.9680 | 0.4603 | 0.9680 | 0.9839 |
| No log | 55.1429 | 386 | 0.9722 | 0.4792 | 0.9722 | 0.9860 |
| No log | 55.4286 | 388 | 0.9762 | 0.4792 | 0.9762 | 0.9880 |
| No log | 55.7143 | 390 | 0.9744 | 0.4527 | 0.9744 | 0.9871 |
| No log | 56.0 | 392 | 0.9660 | 0.4540 | 0.9660 | 0.9829 |
| No log | 56.2857 | 394 | 0.9673 | 0.4479 | 0.9673 | 0.9835 |
| No log | 56.5714 | 396 | 0.9583 | 0.4565 | 0.9583 | 0.9789 |
| No log | 56.8571 | 398 | 0.9466 | 0.4565 | 0.9466 | 0.9729 |
| No log | 57.1429 | 400 | 0.9304 | 0.4565 | 0.9304 | 0.9646 |
| No log | 57.4286 | 402 | 0.9102 | 0.4481 | 0.9102 | 0.9540 |
| No log | 57.7143 | 404 | 0.8850 | 0.4676 | 0.8850 | 0.9407 |
| No log | 58.0 | 406 | 0.8727 | 0.5156 | 0.8727 | 0.9342 |
| No log | 58.2857 | 408 | 0.8632 | 0.5150 | 0.8632 | 0.9291 |
| No log | 58.5714 | 410 | 0.8684 | 0.5069 | 0.8684 | 0.9319 |
| No log | 58.8571 | 412 | 0.8598 | 0.5170 | 0.8598 | 0.9273 |
| No log | 59.1429 | 414 | 0.8556 | 0.5089 | 0.8556 | 0.9250 |
| No log | 59.4286 | 416 | 0.8674 | 0.5023 | 0.8674 | 0.9313 |
| No log | 59.7143 | 418 | 0.8785 | 0.4748 | 0.8785 | 0.9373 |
| No log | 60.0 | 420 | 0.8872 | 0.4641 | 0.8872 | 0.9419 |
| No log | 60.2857 | 422 | 0.9056 | 0.4548 | 0.9056 | 0.9516 |
| No log | 60.5714 | 424 | 0.9063 | 0.4452 | 0.9063 | 0.9520 |
| No log | 60.8571 | 426 | 0.9121 | 0.4643 | 0.9121 | 0.9551 |
| No log | 61.1429 | 428 | 0.9256 | 0.4456 | 0.9256 | 0.9621 |
| No log | 61.4286 | 430 | 0.9315 | 0.4577 | 0.9315 | 0.9652 |
| No log | 61.7143 | 432 | 0.9178 | 0.4521 | 0.9178 | 0.9580 |
| No log | 62.0 | 434 | 0.8980 | 0.4882 | 0.8980 | 0.9476 |
| No log | 62.2857 | 436 | 0.8614 | 0.5133 | 0.8614 | 0.9281 |
| No log | 62.5714 | 438 | 0.8369 | 0.5328 | 0.8369 | 0.9148 |
| No log | 62.8571 | 440 | 0.8393 | 0.5262 | 0.8393 | 0.9161 |
| No log | 63.1429 | 442 | 0.8640 | 0.5035 | 0.8640 | 0.9295 |
| No log | 63.4286 | 444 | 0.8844 | 0.4748 | 0.8844 | 0.9404 |
| No log | 63.7143 | 446 | 0.9017 | 0.4689 | 0.9017 | 0.9496 |
| No log | 64.0 | 448 | 0.9109 | 0.4557 | 0.9109 | 0.9544 |
| No log | 64.2857 | 450 | 0.9228 | 0.4737 | 0.9228 | 0.9606 |
| No log | 64.5714 | 452 | 0.9238 | 0.4537 | 0.9238 | 0.9612 |
| No log | 64.8571 | 454 | 0.9286 | 0.4732 | 0.9286 | 0.9636 |
| No log | 65.1429 | 456 | 0.9333 | 0.4750 | 0.9333 | 0.9661 |
| No log | 65.4286 | 458 | 0.9157 | 0.4797 | 0.9157 | 0.9569 |
| No log | 65.7143 | 460 | 0.8907 | 0.4925 | 0.8907 | 0.9438 |
| No log | 66.0 | 462 | 0.8607 | 0.4704 | 0.8607 | 0.9278 |
| No log | 66.2857 | 464 | 0.8416 | 0.5049 | 0.8416 | 0.9174 |
| No log | 66.5714 | 466 | 0.8370 | 0.5080 | 0.8370 | 0.9149 |
| No log | 66.8571 | 468 | 0.8448 | 0.5112 | 0.8448 | 0.9191 |
| No log | 67.1429 | 470 | 0.8667 | 0.5027 | 0.8667 | 0.9309 |
| No log | 67.4286 | 472 | 0.8981 | 0.4689 | 0.8981 | 0.9477 |
| No log | 67.7143 | 474 | 0.9233 | 0.4587 | 0.9233 | 0.9609 |
| No log | 68.0 | 476 | 0.9440 | 0.4686 | 0.9440 | 0.9716 |
| No log | 68.2857 | 478 | 0.9572 | 0.4954 | 0.9572 | 0.9784 |
| No log | 68.5714 | 480 | 0.9621 | 0.4775 | 0.9621 | 0.9809 |
| No log | 68.8571 | 482 | 0.9516 | 0.4542 | 0.9516 | 0.9755 |
| No log | 69.1429 | 484 | 0.9305 | 0.4490 | 0.9305 | 0.9646 |
| No log | 69.4286 | 486 | 0.9155 | 0.4658 | 0.9155 | 0.9568 |
| No log | 69.7143 | 488 | 0.9092 | 0.4646 | 0.9092 | 0.9535 |
| No log | 70.0 | 490 | 0.8891 | 0.4834 | 0.8891 | 0.9429 |
| No log | 70.2857 | 492 | 0.8750 | 0.4962 | 0.8750 | 0.9354 |
| No log | 70.5714 | 494 | 0.8648 | 0.5328 | 0.8648 | 0.9300 |
| No log | 70.8571 | 496 | 0.8709 | 0.5184 | 0.8709 | 0.9332 |
| No log | 71.1429 | 498 | 0.8809 | 0.5184 | 0.8809 | 0.9386 |
| 0.5111 | 71.4286 | 500 | 0.8796 | 0.5145 | 0.8796 | 0.9378 |
| 0.5111 | 71.7143 | 502 | 0.8917 | 0.4795 | 0.8917 | 0.9443 |
| 0.5111 | 72.0 | 504 | 0.9133 | 0.4737 | 0.9133 | 0.9556 |
| 0.5111 | 72.2857 | 506 | 0.9348 | 0.4828 | 0.9348 | 0.9669 |
| 0.5111 | 72.5714 | 508 | 0.9513 | 0.4828 | 0.9513 | 0.9754 |
| 0.5111 | 72.8571 | 510 | 0.9546 | 0.4713 | 0.9546 | 0.9770 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits6_FineTuningAraBERTFreeze_run3_AugV5_k2_task2_organization
Base model
aubmindlab/bert-base-arabertv02