Instructions to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k12_task7_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k12_task7_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k12_task7_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k12_task7_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k12_task7_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k12_task7_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: 0.5576
- Qwk: 0.4482
- Mse: 0.5576
- Rmse: 0.7467
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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0323 | 2 | 2.6053 | -0.1213 | 2.6053 | 1.6141 |
| No log | 0.0645 | 4 | 1.4023 | 0.0704 | 1.4023 | 1.1842 |
| No log | 0.0968 | 6 | 0.9654 | -0.0658 | 0.9654 | 0.9825 |
| No log | 0.1290 | 8 | 0.7626 | 0.1550 | 0.7626 | 0.8733 |
| No log | 0.1613 | 10 | 0.8048 | 0.2722 | 0.8048 | 0.8971 |
| No log | 0.1935 | 12 | 1.1028 | 0.1463 | 1.1028 | 1.0501 |
| No log | 0.2258 | 14 | 1.0158 | 0.2457 | 1.0158 | 1.0079 |
| No log | 0.2581 | 16 | 0.7585 | 0.2632 | 0.7585 | 0.8709 |
| No log | 0.2903 | 18 | 0.6447 | 0.3947 | 0.6447 | 0.8029 |
| No log | 0.3226 | 20 | 0.6359 | 0.2852 | 0.6359 | 0.7974 |
| No log | 0.3548 | 22 | 0.6404 | 0.3153 | 0.6404 | 0.8003 |
| No log | 0.3871 | 24 | 0.7292 | 0.2632 | 0.7292 | 0.8539 |
| No log | 0.4194 | 26 | 0.7682 | 0.2632 | 0.7682 | 0.8765 |
| No log | 0.4516 | 28 | 0.8673 | 0.2810 | 0.8673 | 0.9313 |
| No log | 0.4839 | 30 | 0.9281 | 0.2939 | 0.9281 | 0.9634 |
| No log | 0.5161 | 32 | 0.6887 | 0.2692 | 0.6887 | 0.8299 |
| No log | 0.5484 | 34 | 0.6291 | 0.4087 | 0.6291 | 0.7931 |
| No log | 0.5806 | 36 | 0.6309 | 0.4087 | 0.6309 | 0.7943 |
| No log | 0.6129 | 38 | 0.6186 | 0.4001 | 0.6186 | 0.7865 |
| No log | 0.6452 | 40 | 0.9510 | 0.3395 | 0.9510 | 0.9752 |
| No log | 0.6774 | 42 | 0.9720 | 0.3395 | 0.9720 | 0.9859 |
| No log | 0.7097 | 44 | 0.8300 | 0.3347 | 0.8300 | 0.9111 |
| No log | 0.7419 | 46 | 0.6038 | 0.3945 | 0.6038 | 0.7771 |
| No log | 0.7742 | 48 | 0.6430 | 0.4198 | 0.6430 | 0.8019 |
| No log | 0.8065 | 50 | 0.5961 | 0.4891 | 0.5961 | 0.7721 |
| No log | 0.8387 | 52 | 0.7165 | 0.2807 | 0.7165 | 0.8465 |
| No log | 0.8710 | 54 | 0.9309 | 0.3082 | 0.9309 | 0.9648 |
| No log | 0.9032 | 56 | 0.7528 | 0.3159 | 0.7528 | 0.8677 |
| No log | 0.9355 | 58 | 0.7475 | 0.3069 | 0.7475 | 0.8646 |
| No log | 0.9677 | 60 | 0.6950 | 0.3590 | 0.6950 | 0.8337 |
| No log | 1.0 | 62 | 0.7801 | 0.3433 | 0.7801 | 0.8833 |
| No log | 1.0323 | 64 | 0.7087 | 0.4251 | 0.7087 | 0.8418 |
| No log | 1.0645 | 66 | 0.5441 | 0.4253 | 0.5441 | 0.7377 |
| No log | 1.0968 | 68 | 0.5601 | 0.4674 | 0.5601 | 0.7484 |
| No log | 1.1290 | 70 | 0.5206 | 0.4866 | 0.5206 | 0.7215 |
| No log | 1.1613 | 72 | 0.5149 | 0.4866 | 0.5149 | 0.7176 |
| No log | 1.1935 | 74 | 0.5334 | 0.5127 | 0.5334 | 0.7304 |
| No log | 1.2258 | 76 | 0.5185 | 0.5507 | 0.5185 | 0.7201 |
| No log | 1.2581 | 78 | 0.5202 | 0.4782 | 0.5202 | 0.7213 |
| No log | 1.2903 | 80 | 0.5810 | 0.4929 | 0.5810 | 0.7623 |
| No log | 1.3226 | 82 | 0.6100 | 0.4664 | 0.6100 | 0.7810 |
| No log | 1.3548 | 84 | 0.7107 | 0.4707 | 0.7107 | 0.8430 |
| No log | 1.3871 | 86 | 0.7812 | 0.4549 | 0.7812 | 0.8839 |
| No log | 1.4194 | 88 | 0.5854 | 0.4911 | 0.5854 | 0.7651 |
| No log | 1.4516 | 90 | 0.5295 | 0.4678 | 0.5295 | 0.7277 |
| No log | 1.4839 | 92 | 0.5808 | 0.5495 | 0.5808 | 0.7621 |
| No log | 1.5161 | 94 | 0.5337 | 0.4458 | 0.5337 | 0.7305 |
| No log | 1.5484 | 96 | 0.5424 | 0.5232 | 0.5424 | 0.7365 |
| No log | 1.5806 | 98 | 0.5733 | 0.5092 | 0.5733 | 0.7572 |
| No log | 1.6129 | 100 | 0.7042 | 0.4359 | 0.7042 | 0.8392 |
| No log | 1.6452 | 102 | 0.6369 | 0.4813 | 0.6369 | 0.7980 |
| No log | 1.6774 | 104 | 0.6174 | 0.4451 | 0.6174 | 0.7858 |
| No log | 1.7097 | 106 | 0.8500 | 0.3697 | 0.8500 | 0.9220 |
| No log | 1.7419 | 108 | 0.8424 | 0.3477 | 0.8424 | 0.9178 |
| No log | 1.7742 | 110 | 0.6696 | 0.4911 | 0.6696 | 0.8183 |
| No log | 1.8065 | 112 | 0.5783 | 0.4722 | 0.5783 | 0.7605 |
| No log | 1.8387 | 114 | 0.5826 | 0.4722 | 0.5826 | 0.7633 |
| No log | 1.8710 | 116 | 0.5900 | 0.4475 | 0.5900 | 0.7681 |
| No log | 1.9032 | 118 | 0.7308 | 0.4587 | 0.7308 | 0.8549 |
| No log | 1.9355 | 120 | 0.8399 | 0.3827 | 0.8399 | 0.9164 |
| No log | 1.9677 | 122 | 0.7311 | 0.4665 | 0.7311 | 0.8550 |
| No log | 2.0 | 124 | 0.6922 | 0.4827 | 0.6922 | 0.8320 |
| No log | 2.0323 | 126 | 0.6369 | 0.4044 | 0.6369 | 0.7980 |
| No log | 2.0645 | 128 | 0.6246 | 0.3183 | 0.6246 | 0.7903 |
| No log | 2.0968 | 130 | 0.6261 | 0.3599 | 0.6261 | 0.7913 |
| No log | 2.1290 | 132 | 0.7295 | 0.4014 | 0.7295 | 0.8541 |
| No log | 2.1613 | 134 | 1.1363 | 0.2805 | 1.1363 | 1.0660 |
| No log | 2.1935 | 136 | 1.3202 | 0.1686 | 1.3202 | 1.1490 |
| No log | 2.2258 | 138 | 1.0965 | 0.2853 | 1.0965 | 1.0471 |
| No log | 2.2581 | 140 | 0.8002 | 0.3938 | 0.8002 | 0.8946 |
| No log | 2.2903 | 142 | 0.6437 | 0.2981 | 0.6437 | 0.8023 |
| No log | 2.3226 | 144 | 0.6266 | 0.2685 | 0.6266 | 0.7916 |
| No log | 2.3548 | 146 | 0.6557 | 0.4330 | 0.6557 | 0.8098 |
| No log | 2.3871 | 148 | 0.6545 | 0.4978 | 0.6545 | 0.8090 |
| No log | 2.4194 | 150 | 0.7130 | 0.4665 | 0.7130 | 0.8444 |
| No log | 2.4516 | 152 | 0.6424 | 0.4875 | 0.6424 | 0.8015 |
| No log | 2.4839 | 154 | 0.6230 | 0.3738 | 0.6230 | 0.7893 |
| No log | 2.5161 | 156 | 0.6939 | 0.3784 | 0.6939 | 0.8330 |
| No log | 2.5484 | 158 | 0.7397 | 0.4280 | 0.7397 | 0.8601 |
| No log | 2.5806 | 160 | 0.7141 | 0.4021 | 0.7141 | 0.8450 |
| No log | 2.6129 | 162 | 0.6292 | 0.3273 | 0.6292 | 0.7932 |
| No log | 2.6452 | 164 | 0.6265 | 0.3041 | 0.6265 | 0.7915 |
| No log | 2.6774 | 166 | 0.6587 | 0.3865 | 0.6587 | 0.8116 |
| No log | 2.7097 | 168 | 0.6969 | 0.4451 | 0.6969 | 0.8348 |
| No log | 2.7419 | 170 | 0.7221 | 0.3794 | 0.7221 | 0.8498 |
| No log | 2.7742 | 172 | 0.8178 | 0.4493 | 0.8178 | 0.9043 |
| No log | 2.8065 | 174 | 0.7830 | 0.4808 | 0.7830 | 0.8849 |
| No log | 2.8387 | 176 | 0.6825 | 0.3366 | 0.6825 | 0.8261 |
| No log | 2.8710 | 178 | 0.6522 | 0.3762 | 0.6522 | 0.8076 |
| No log | 2.9032 | 180 | 0.6586 | 0.4125 | 0.6586 | 0.8115 |
| No log | 2.9355 | 182 | 0.7164 | 0.3963 | 0.7164 | 0.8464 |
| No log | 2.9677 | 184 | 0.8868 | 0.3869 | 0.8868 | 0.9417 |
| No log | 3.0 | 186 | 0.9272 | 0.3576 | 0.9272 | 0.9629 |
| No log | 3.0323 | 188 | 0.7460 | 0.3754 | 0.7460 | 0.8637 |
| No log | 3.0645 | 190 | 0.5734 | 0.4504 | 0.5734 | 0.7572 |
| No log | 3.0968 | 192 | 0.5955 | 0.4958 | 0.5955 | 0.7717 |
| No log | 3.1290 | 194 | 0.7125 | 0.3417 | 0.7125 | 0.8441 |
| No log | 3.1613 | 196 | 0.7614 | 0.3579 | 0.7614 | 0.8726 |
| No log | 3.1935 | 198 | 0.6581 | 0.3707 | 0.6581 | 0.8112 |
| No log | 3.2258 | 200 | 0.5475 | 0.5010 | 0.5475 | 0.7399 |
| No log | 3.2581 | 202 | 0.6054 | 0.4112 | 0.6054 | 0.7781 |
| No log | 3.2903 | 204 | 0.7105 | 0.4646 | 0.7105 | 0.8429 |
| No log | 3.3226 | 206 | 0.6427 | 0.4522 | 0.6427 | 0.8017 |
| No log | 3.3548 | 208 | 0.5673 | 0.5003 | 0.5673 | 0.7532 |
| No log | 3.3871 | 210 | 0.5851 | 0.4984 | 0.5851 | 0.7649 |
| No log | 3.4194 | 212 | 0.6717 | 0.4014 | 0.6717 | 0.8196 |
| No log | 3.4516 | 214 | 0.7589 | 0.3960 | 0.7589 | 0.8712 |
| No log | 3.4839 | 216 | 0.7754 | 0.3601 | 0.7754 | 0.8806 |
| No log | 3.5161 | 218 | 0.8560 | 0.3082 | 0.8560 | 0.9252 |
| No log | 3.5484 | 220 | 0.7293 | 0.4419 | 0.7293 | 0.8540 |
| No log | 3.5806 | 222 | 0.6096 | 0.5131 | 0.6096 | 0.7808 |
| No log | 3.6129 | 224 | 0.6209 | 0.5271 | 0.6209 | 0.7880 |
| No log | 3.6452 | 226 | 0.7588 | 0.4474 | 0.7588 | 0.8711 |
| No log | 3.6774 | 228 | 1.0316 | 0.2843 | 1.0316 | 1.0157 |
| No log | 3.7097 | 230 | 1.1056 | 0.2336 | 1.1056 | 1.0515 |
| No log | 3.7419 | 232 | 0.9885 | 0.3010 | 0.9885 | 0.9942 |
| No log | 3.7742 | 234 | 0.7773 | 0.4183 | 0.7773 | 0.8817 |
| No log | 3.8065 | 236 | 0.6217 | 0.4684 | 0.6217 | 0.7885 |
| No log | 3.8387 | 238 | 0.5585 | 0.4660 | 0.5585 | 0.7474 |
| No log | 3.8710 | 240 | 0.5588 | 0.4660 | 0.5588 | 0.7475 |
| No log | 3.9032 | 242 | 0.5794 | 0.5214 | 0.5794 | 0.7612 |
| No log | 3.9355 | 244 | 0.6516 | 0.5086 | 0.6516 | 0.8072 |
| No log | 3.9677 | 246 | 0.7993 | 0.4853 | 0.7993 | 0.8941 |
| No log | 4.0 | 248 | 0.7263 | 0.4788 | 0.7263 | 0.8522 |
| No log | 4.0323 | 250 | 0.5674 | 0.3890 | 0.5674 | 0.7532 |
| No log | 4.0645 | 252 | 0.5442 | 0.4299 | 0.5442 | 0.7377 |
| No log | 4.0968 | 254 | 0.5500 | 0.4746 | 0.5500 | 0.7416 |
| No log | 4.1290 | 256 | 0.5394 | 0.4052 | 0.5394 | 0.7345 |
| No log | 4.1613 | 258 | 0.6212 | 0.5233 | 0.6212 | 0.7881 |
| No log | 4.1935 | 260 | 0.6664 | 0.4959 | 0.6664 | 0.8163 |
| No log | 4.2258 | 262 | 0.5789 | 0.5195 | 0.5789 | 0.7608 |
| No log | 4.2581 | 264 | 0.5373 | 0.4991 | 0.5373 | 0.7330 |
| No log | 4.2903 | 266 | 0.5621 | 0.5178 | 0.5621 | 0.7497 |
| No log | 4.3226 | 268 | 0.5548 | 0.5463 | 0.5548 | 0.7449 |
| No log | 4.3548 | 270 | 0.5414 | 0.5195 | 0.5414 | 0.7358 |
| No log | 4.3871 | 272 | 0.5844 | 0.4639 | 0.5844 | 0.7644 |
| No log | 4.4194 | 274 | 0.6878 | 0.4801 | 0.6878 | 0.8293 |
| No log | 4.4516 | 276 | 0.6824 | 0.5107 | 0.6824 | 0.8261 |
| No log | 4.4839 | 278 | 0.5808 | 0.4482 | 0.5808 | 0.7621 |
| No log | 4.5161 | 280 | 0.5621 | 0.4677 | 0.5621 | 0.7497 |
| No log | 4.5484 | 282 | 0.5927 | 0.5449 | 0.5927 | 0.7699 |
| No log | 4.5806 | 284 | 0.5547 | 0.4677 | 0.5547 | 0.7448 |
| No log | 4.6129 | 286 | 0.5638 | 0.4267 | 0.5638 | 0.7509 |
| No log | 4.6452 | 288 | 0.7593 | 0.4764 | 0.7593 | 0.8714 |
| No log | 4.6774 | 290 | 0.8771 | 0.3425 | 0.8771 | 0.9365 |
| No log | 4.7097 | 292 | 0.7749 | 0.3869 | 0.7749 | 0.8803 |
| No log | 4.7419 | 294 | 0.6703 | 0.4978 | 0.6703 | 0.8187 |
| No log | 4.7742 | 296 | 0.5429 | 0.4229 | 0.5429 | 0.7368 |
| No log | 4.8065 | 298 | 0.5298 | 0.4613 | 0.5298 | 0.7279 |
| No log | 4.8387 | 300 | 0.5351 | 0.3970 | 0.5351 | 0.7315 |
| No log | 4.8710 | 302 | 0.5637 | 0.4524 | 0.5637 | 0.7508 |
| No log | 4.9032 | 304 | 0.5714 | 0.4555 | 0.5714 | 0.7559 |
| No log | 4.9355 | 306 | 0.5602 | 0.3990 | 0.5602 | 0.7485 |
| No log | 4.9677 | 308 | 0.5676 | 0.4314 | 0.5676 | 0.7534 |
| No log | 5.0 | 310 | 0.5676 | 0.3738 | 0.5676 | 0.7534 |
| No log | 5.0323 | 312 | 0.5686 | 0.4555 | 0.5686 | 0.7541 |
| No log | 5.0645 | 314 | 0.5765 | 0.4555 | 0.5765 | 0.7593 |
| No log | 5.0968 | 316 | 0.5924 | 0.4769 | 0.5924 | 0.7697 |
| No log | 5.1290 | 318 | 0.5449 | 0.3970 | 0.5449 | 0.7381 |
| No log | 5.1613 | 320 | 0.5442 | 0.4838 | 0.5442 | 0.7377 |
| No log | 5.1935 | 322 | 0.5736 | 0.4997 | 0.5736 | 0.7573 |
| No log | 5.2258 | 324 | 0.5523 | 0.4838 | 0.5523 | 0.7432 |
| No log | 5.2581 | 326 | 0.5379 | 0.4253 | 0.5379 | 0.7334 |
| No log | 5.2903 | 328 | 0.6707 | 0.4627 | 0.6707 | 0.8190 |
| No log | 5.3226 | 330 | 0.7970 | 0.4556 | 0.7970 | 0.8928 |
| No log | 5.3548 | 332 | 0.8443 | 0.3807 | 0.8443 | 0.9189 |
| No log | 5.3871 | 334 | 0.7798 | 0.4556 | 0.7798 | 0.8830 |
| No log | 5.4194 | 336 | 0.6288 | 0.4880 | 0.6288 | 0.7930 |
| No log | 5.4516 | 338 | 0.5225 | 0.4782 | 0.5225 | 0.7228 |
| No log | 5.4839 | 340 | 0.5253 | 0.5143 | 0.5253 | 0.7248 |
| No log | 5.5161 | 342 | 0.5359 | 0.5248 | 0.5359 | 0.7320 |
| No log | 5.5484 | 344 | 0.5237 | 0.5357 | 0.5237 | 0.7237 |
| No log | 5.5806 | 346 | 0.5345 | 0.4934 | 0.5345 | 0.7311 |
| No log | 5.6129 | 348 | 0.6476 | 0.5329 | 0.6476 | 0.8047 |
| No log | 5.6452 | 350 | 0.7634 | 0.4474 | 0.7634 | 0.8737 |
| No log | 5.6774 | 352 | 0.7650 | 0.4400 | 0.7650 | 0.8747 |
| No log | 5.7097 | 354 | 0.6716 | 0.5183 | 0.6716 | 0.8195 |
| No log | 5.7419 | 356 | 0.6270 | 0.4352 | 0.6270 | 0.7918 |
| No log | 5.7742 | 358 | 0.6406 | 0.5201 | 0.6406 | 0.8004 |
| No log | 5.8065 | 360 | 0.7127 | 0.4788 | 0.7127 | 0.8442 |
| No log | 5.8387 | 362 | 0.7601 | 0.4255 | 0.7601 | 0.8718 |
| No log | 5.8710 | 364 | 0.7088 | 0.4788 | 0.7088 | 0.8419 |
| No log | 5.9032 | 366 | 0.6130 | 0.4774 | 0.6130 | 0.7830 |
| No log | 5.9355 | 368 | 0.5720 | 0.4229 | 0.5720 | 0.7563 |
| No log | 5.9677 | 370 | 0.5664 | 0.4591 | 0.5664 | 0.7526 |
| No log | 6.0 | 372 | 0.5621 | 0.4229 | 0.5621 | 0.7497 |
| No log | 6.0323 | 374 | 0.6291 | 0.5067 | 0.6291 | 0.7932 |
| No log | 6.0645 | 376 | 0.8966 | 0.3576 | 0.8966 | 0.9469 |
| No log | 6.0968 | 378 | 1.1020 | 0.2280 | 1.1020 | 1.0498 |
| No log | 6.1290 | 380 | 1.0686 | 0.2280 | 1.0686 | 1.0337 |
| No log | 6.1613 | 382 | 0.9342 | 0.2935 | 0.9342 | 0.9665 |
| No log | 6.1935 | 384 | 0.7248 | 0.4549 | 0.7248 | 0.8514 |
| No log | 6.2258 | 386 | 0.6006 | 0.5570 | 0.6006 | 0.7750 |
| No log | 6.2581 | 388 | 0.5394 | 0.5437 | 0.5394 | 0.7345 |
| No log | 6.2903 | 390 | 0.5513 | 0.5327 | 0.5513 | 0.7425 |
| No log | 6.3226 | 392 | 0.6253 | 0.5418 | 0.6253 | 0.7908 |
| No log | 6.3548 | 394 | 0.6871 | 0.5095 | 0.6871 | 0.8289 |
| No log | 6.3871 | 396 | 0.7148 | 0.5095 | 0.7148 | 0.8454 |
| No log | 6.4194 | 398 | 0.6791 | 0.5183 | 0.6791 | 0.8241 |
| No log | 6.4516 | 400 | 0.5958 | 0.4267 | 0.5958 | 0.7719 |
| No log | 6.4839 | 402 | 0.5395 | 0.3920 | 0.5395 | 0.7345 |
| No log | 6.5161 | 404 | 0.5345 | 0.4607 | 0.5345 | 0.7311 |
| No log | 6.5484 | 406 | 0.5551 | 0.4879 | 0.5551 | 0.7450 |
| No log | 6.5806 | 408 | 0.5448 | 0.5101 | 0.5448 | 0.7381 |
| No log | 6.6129 | 410 | 0.5097 | 0.4869 | 0.5097 | 0.7139 |
| No log | 6.6452 | 412 | 0.5363 | 0.4419 | 0.5363 | 0.7323 |
| No log | 6.6774 | 414 | 0.6531 | 0.5362 | 0.6531 | 0.8081 |
| No log | 6.7097 | 416 | 0.7451 | 0.4450 | 0.7451 | 0.8632 |
| No log | 6.7419 | 418 | 0.7546 | 0.4296 | 0.7546 | 0.8687 |
| No log | 6.7742 | 420 | 0.6934 | 0.4801 | 0.6934 | 0.8327 |
| No log | 6.8065 | 422 | 0.5937 | 0.5720 | 0.5937 | 0.7705 |
| No log | 6.8387 | 424 | 0.5516 | 0.4314 | 0.5516 | 0.7427 |
| No log | 6.8710 | 426 | 0.5562 | 0.4314 | 0.5562 | 0.7458 |
| No log | 6.9032 | 428 | 0.5980 | 0.5177 | 0.5980 | 0.7733 |
| No log | 6.9355 | 430 | 0.7310 | 0.4880 | 0.7310 | 0.8550 |
| No log | 6.9677 | 432 | 0.8295 | 0.3827 | 0.8295 | 0.9108 |
| No log | 7.0 | 434 | 0.8377 | 0.3827 | 0.8377 | 0.9153 |
| No log | 7.0323 | 436 | 0.7977 | 0.3719 | 0.7977 | 0.8931 |
| No log | 7.0645 | 438 | 0.7023 | 0.5274 | 0.7023 | 0.8380 |
| No log | 7.0968 | 440 | 0.6208 | 0.4524 | 0.6208 | 0.7879 |
| No log | 7.1290 | 442 | 0.5957 | 0.3081 | 0.5957 | 0.7718 |
| No log | 7.1613 | 444 | 0.5861 | 0.2780 | 0.5861 | 0.7656 |
| No log | 7.1935 | 446 | 0.5791 | 0.3100 | 0.5791 | 0.7610 |
| No log | 7.2258 | 448 | 0.5741 | 0.3352 | 0.5741 | 0.7577 |
| No log | 7.2581 | 450 | 0.5746 | 0.3865 | 0.5746 | 0.7580 |
| No log | 7.2903 | 452 | 0.6060 | 0.4292 | 0.6060 | 0.7784 |
| No log | 7.3226 | 454 | 0.6597 | 0.5131 | 0.6597 | 0.8122 |
| No log | 7.3548 | 456 | 0.6861 | 0.5345 | 0.6861 | 0.8283 |
| No log | 7.3871 | 458 | 0.6568 | 0.5131 | 0.6568 | 0.8105 |
| No log | 7.4194 | 460 | 0.6184 | 0.5086 | 0.6184 | 0.7864 |
| No log | 7.4516 | 462 | 0.5922 | 0.4473 | 0.5922 | 0.7695 |
| No log | 7.4839 | 464 | 0.5819 | 0.5271 | 0.5819 | 0.7628 |
| No log | 7.5161 | 466 | 0.6058 | 0.5498 | 0.6058 | 0.7784 |
| No log | 7.5484 | 468 | 0.6113 | 0.5527 | 0.6113 | 0.7819 |
| No log | 7.5806 | 470 | 0.5821 | 0.5498 | 0.5821 | 0.7629 |
| No log | 7.6129 | 472 | 0.5606 | 0.5752 | 0.5606 | 0.7487 |
| No log | 7.6452 | 474 | 0.5465 | 0.5021 | 0.5465 | 0.7393 |
| No log | 7.6774 | 476 | 0.5508 | 0.5159 | 0.5508 | 0.7422 |
| No log | 7.7097 | 478 | 0.5836 | 0.5965 | 0.5836 | 0.7639 |
| No log | 7.7419 | 480 | 0.6300 | 0.5935 | 0.6300 | 0.7937 |
| No log | 7.7742 | 482 | 0.6291 | 0.5935 | 0.6291 | 0.7932 |
| No log | 7.8065 | 484 | 0.5899 | 0.4397 | 0.5899 | 0.7681 |
| No log | 7.8387 | 486 | 0.5956 | 0.4124 | 0.5956 | 0.7718 |
| No log | 7.8710 | 488 | 0.5956 | 0.4206 | 0.5956 | 0.7717 |
| No log | 7.9032 | 490 | 0.5643 | 0.4482 | 0.5643 | 0.7512 |
| No log | 7.9355 | 492 | 0.5814 | 0.4482 | 0.5814 | 0.7625 |
| No log | 7.9677 | 494 | 0.6188 | 0.4267 | 0.6188 | 0.7867 |
| No log | 8.0 | 496 | 0.6562 | 0.4437 | 0.6562 | 0.8101 |
| No log | 8.0323 | 498 | 0.6773 | 0.5252 | 0.6773 | 0.8230 |
| 0.3148 | 8.0645 | 500 | 0.6970 | 0.5481 | 0.6970 | 0.8348 |
| 0.3148 | 8.0968 | 502 | 0.6442 | 0.4182 | 0.6442 | 0.8026 |
| 0.3148 | 8.1290 | 504 | 0.5740 | 0.4397 | 0.5740 | 0.7577 |
| 0.3148 | 8.1613 | 506 | 0.5455 | 0.4482 | 0.5455 | 0.7386 |
| 0.3148 | 8.1935 | 508 | 0.5456 | 0.4569 | 0.5456 | 0.7387 |
| 0.3148 | 8.2258 | 510 | 0.5576 | 0.4482 | 0.5576 | 0.7467 |
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/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k12_task7_organization
Base model
aubmindlab/bert-base-arabertv02