Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k1_task2_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k1_task2_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k1_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k1_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k1_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k1_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: 0.6177
- Qwk: 0.5164
- Mse: 0.6177
- Rmse: 0.7860
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 | 0.2857 | 2 | 4.2488 | -0.0127 | 4.2488 | 2.0613 |
| No log | 0.5714 | 4 | 2.4912 | 0.0546 | 2.4912 | 1.5783 |
| No log | 0.8571 | 6 | 1.3266 | 0.0550 | 1.3266 | 1.1518 |
| No log | 1.1429 | 8 | 0.9356 | 0.0737 | 0.9356 | 0.9672 |
| No log | 1.4286 | 10 | 0.7748 | 0.1706 | 0.7748 | 0.8802 |
| No log | 1.7143 | 12 | 0.7372 | 0.2237 | 0.7372 | 0.8586 |
| No log | 2.0 | 14 | 0.8584 | 0.2110 | 0.8584 | 0.9265 |
| No log | 2.2857 | 16 | 1.2569 | 0.1804 | 1.2569 | 1.1211 |
| No log | 2.5714 | 18 | 0.9493 | 0.2575 | 0.9493 | 0.9743 |
| No log | 2.8571 | 20 | 0.7061 | 0.3098 | 0.7061 | 0.8403 |
| No log | 3.1429 | 22 | 0.7553 | 0.3425 | 0.7553 | 0.8691 |
| No log | 3.4286 | 24 | 0.7275 | 0.3815 | 0.7275 | 0.8529 |
| No log | 3.7143 | 26 | 1.2571 | 0.2932 | 1.2571 | 1.1212 |
| No log | 4.0 | 28 | 1.6683 | 0.1858 | 1.6683 | 1.2916 |
| No log | 4.2857 | 30 | 1.4653 | 0.2799 | 1.4653 | 1.2105 |
| No log | 4.5714 | 32 | 0.8843 | 0.4703 | 0.8843 | 0.9404 |
| No log | 4.8571 | 34 | 0.7768 | 0.4377 | 0.7768 | 0.8814 |
| No log | 5.1429 | 36 | 0.7353 | 0.4498 | 0.7353 | 0.8575 |
| No log | 5.4286 | 38 | 0.7321 | 0.4590 | 0.7321 | 0.8556 |
| No log | 5.7143 | 40 | 0.8282 | 0.3817 | 0.8282 | 0.9100 |
| No log | 6.0 | 42 | 0.9978 | 0.3399 | 0.9978 | 0.9989 |
| No log | 6.2857 | 44 | 0.9331 | 0.3504 | 0.9331 | 0.9660 |
| No log | 6.5714 | 46 | 0.7826 | 0.4610 | 0.7826 | 0.8846 |
| No log | 6.8571 | 48 | 0.8498 | 0.4096 | 0.8498 | 0.9218 |
| No log | 7.1429 | 50 | 0.8556 | 0.4206 | 0.8556 | 0.9250 |
| No log | 7.4286 | 52 | 0.7790 | 0.4015 | 0.7790 | 0.8826 |
| No log | 7.7143 | 54 | 0.7426 | 0.4540 | 0.7426 | 0.8617 |
| No log | 8.0 | 56 | 0.9116 | 0.3783 | 0.9116 | 0.9548 |
| No log | 8.2857 | 58 | 0.9320 | 0.3585 | 0.9320 | 0.9654 |
| No log | 8.5714 | 60 | 0.7527 | 0.4746 | 0.7527 | 0.8676 |
| No log | 8.8571 | 62 | 0.7142 | 0.4316 | 0.7142 | 0.8451 |
| No log | 9.1429 | 64 | 0.7762 | 0.4507 | 0.7762 | 0.8810 |
| No log | 9.4286 | 66 | 0.7053 | 0.4785 | 0.7053 | 0.8398 |
| No log | 9.7143 | 68 | 0.6820 | 0.4476 | 0.6820 | 0.8259 |
| No log | 10.0 | 70 | 0.8729 | 0.4317 | 0.8729 | 0.9343 |
| No log | 10.2857 | 72 | 0.9511 | 0.3982 | 0.9511 | 0.9752 |
| No log | 10.5714 | 74 | 0.7406 | 0.4316 | 0.7406 | 0.8606 |
| No log | 10.8571 | 76 | 0.6944 | 0.4393 | 0.6944 | 0.8333 |
| No log | 11.1429 | 78 | 0.6860 | 0.4710 | 0.6860 | 0.8283 |
| No log | 11.4286 | 80 | 0.6504 | 0.4512 | 0.6504 | 0.8065 |
| No log | 11.7143 | 82 | 0.6714 | 0.4605 | 0.6714 | 0.8194 |
| No log | 12.0 | 84 | 0.6745 | 0.4269 | 0.6745 | 0.8213 |
| No log | 12.2857 | 86 | 0.6137 | 0.3796 | 0.6137 | 0.7834 |
| No log | 12.5714 | 88 | 0.7460 | 0.4887 | 0.7460 | 0.8637 |
| No log | 12.8571 | 90 | 0.8752 | 0.4902 | 0.8752 | 0.9355 |
| No log | 13.1429 | 92 | 0.8088 | 0.5005 | 0.8088 | 0.8993 |
| No log | 13.4286 | 94 | 0.7243 | 0.4604 | 0.7243 | 0.8510 |
| No log | 13.7143 | 96 | 0.8198 | 0.5014 | 0.8198 | 0.9054 |
| No log | 14.0 | 98 | 0.8218 | 0.5025 | 0.8218 | 0.9066 |
| No log | 14.2857 | 100 | 0.6832 | 0.4663 | 0.6832 | 0.8266 |
| No log | 14.5714 | 102 | 0.6505 | 0.5271 | 0.6505 | 0.8065 |
| No log | 14.8571 | 104 | 0.7169 | 0.5333 | 0.7169 | 0.8467 |
| No log | 15.1429 | 106 | 0.8244 | 0.4730 | 0.8244 | 0.9080 |
| No log | 15.4286 | 108 | 0.7034 | 0.5450 | 0.7034 | 0.8387 |
| No log | 15.7143 | 110 | 0.6589 | 0.4961 | 0.6589 | 0.8117 |
| No log | 16.0 | 112 | 0.6785 | 0.5149 | 0.6785 | 0.8237 |
| No log | 16.2857 | 114 | 0.7156 | 0.5133 | 0.7156 | 0.8459 |
| No log | 16.5714 | 116 | 0.7477 | 0.5246 | 0.7477 | 0.8647 |
| No log | 16.8571 | 118 | 0.6944 | 0.5085 | 0.6944 | 0.8333 |
| No log | 17.1429 | 120 | 0.6755 | 0.5006 | 0.6755 | 0.8219 |
| No log | 17.4286 | 122 | 0.6327 | 0.4616 | 0.6327 | 0.7954 |
| No log | 17.7143 | 124 | 0.6288 | 0.4413 | 0.6288 | 0.7930 |
| No log | 18.0 | 126 | 0.6959 | 0.4792 | 0.6959 | 0.8342 |
| No log | 18.2857 | 128 | 0.7141 | 0.4782 | 0.7141 | 0.8451 |
| No log | 18.5714 | 130 | 0.6474 | 0.4906 | 0.6474 | 0.8046 |
| No log | 18.8571 | 132 | 0.6803 | 0.5048 | 0.6803 | 0.8248 |
| No log | 19.1429 | 134 | 0.8667 | 0.4593 | 0.8667 | 0.9309 |
| No log | 19.4286 | 136 | 0.8517 | 0.4601 | 0.8517 | 0.9229 |
| No log | 19.7143 | 138 | 0.7252 | 0.4988 | 0.7252 | 0.8516 |
| No log | 20.0 | 140 | 0.6702 | 0.5060 | 0.6702 | 0.8187 |
| No log | 20.2857 | 142 | 0.7886 | 0.4967 | 0.7886 | 0.8881 |
| No log | 20.5714 | 144 | 0.7783 | 0.5153 | 0.7783 | 0.8822 |
| No log | 20.8571 | 146 | 0.6800 | 0.5035 | 0.6800 | 0.8246 |
| No log | 21.1429 | 148 | 0.6552 | 0.5364 | 0.6552 | 0.8094 |
| No log | 21.4286 | 150 | 0.6487 | 0.4787 | 0.6487 | 0.8054 |
| No log | 21.7143 | 152 | 0.6552 | 0.4936 | 0.6552 | 0.8094 |
| No log | 22.0 | 154 | 0.6763 | 0.4787 | 0.6763 | 0.8224 |
| No log | 22.2857 | 156 | 0.7015 | 0.4869 | 0.7015 | 0.8375 |
| No log | 22.5714 | 158 | 0.6791 | 0.5138 | 0.6791 | 0.8241 |
| No log | 22.8571 | 160 | 0.6621 | 0.5240 | 0.6621 | 0.8137 |
| No log | 23.1429 | 162 | 0.6996 | 0.4727 | 0.6996 | 0.8364 |
| No log | 23.4286 | 164 | 0.7041 | 0.4737 | 0.7041 | 0.8391 |
| No log | 23.7143 | 166 | 0.6506 | 0.4593 | 0.6506 | 0.8066 |
| No log | 24.0 | 168 | 0.7060 | 0.4629 | 0.7060 | 0.8402 |
| No log | 24.2857 | 170 | 0.7969 | 0.4929 | 0.7969 | 0.8927 |
| No log | 24.5714 | 172 | 0.7479 | 0.4933 | 0.7479 | 0.8648 |
| No log | 24.8571 | 174 | 0.7128 | 0.4760 | 0.7128 | 0.8443 |
| No log | 25.1429 | 176 | 0.7671 | 0.4958 | 0.7671 | 0.8758 |
| No log | 25.4286 | 178 | 0.7393 | 0.4981 | 0.7393 | 0.8598 |
| No log | 25.7143 | 180 | 0.7297 | 0.5046 | 0.7297 | 0.8542 |
| No log | 26.0 | 182 | 0.7839 | 0.4865 | 0.7839 | 0.8854 |
| No log | 26.2857 | 184 | 0.7859 | 0.4753 | 0.7859 | 0.8865 |
| No log | 26.5714 | 186 | 0.7046 | 0.5231 | 0.7046 | 0.8394 |
| No log | 26.8571 | 188 | 0.6571 | 0.5210 | 0.6571 | 0.8106 |
| No log | 27.1429 | 190 | 0.6633 | 0.4571 | 0.6633 | 0.8144 |
| No log | 27.4286 | 192 | 0.6900 | 0.4997 | 0.6900 | 0.8306 |
| No log | 27.7143 | 194 | 0.6900 | 0.4763 | 0.6900 | 0.8307 |
| No log | 28.0 | 196 | 0.6827 | 0.4986 | 0.6827 | 0.8263 |
| No log | 28.2857 | 198 | 0.7008 | 0.5017 | 0.7008 | 0.8371 |
| No log | 28.5714 | 200 | 0.7199 | 0.5211 | 0.7199 | 0.8485 |
| No log | 28.8571 | 202 | 0.7190 | 0.5040 | 0.7190 | 0.8479 |
| No log | 29.1429 | 204 | 0.7446 | 0.4905 | 0.7446 | 0.8629 |
| No log | 29.4286 | 206 | 0.7613 | 0.4849 | 0.7613 | 0.8725 |
| No log | 29.7143 | 208 | 0.7952 | 0.4750 | 0.7952 | 0.8917 |
| No log | 30.0 | 210 | 0.7625 | 0.4914 | 0.7625 | 0.8732 |
| No log | 30.2857 | 212 | 0.7366 | 0.4890 | 0.7366 | 0.8582 |
| No log | 30.5714 | 214 | 0.7457 | 0.4755 | 0.7457 | 0.8635 |
| No log | 30.8571 | 216 | 0.7238 | 0.5265 | 0.7238 | 0.8508 |
| No log | 31.1429 | 218 | 0.6742 | 0.4920 | 0.6742 | 0.8211 |
| No log | 31.4286 | 220 | 0.6560 | 0.5200 | 0.6560 | 0.8099 |
| No log | 31.7143 | 222 | 0.6573 | 0.4873 | 0.6573 | 0.8108 |
| No log | 32.0 | 224 | 0.6568 | 0.4873 | 0.6568 | 0.8104 |
| No log | 32.2857 | 226 | 0.6407 | 0.5071 | 0.6407 | 0.8004 |
| No log | 32.5714 | 228 | 0.6331 | 0.4702 | 0.6331 | 0.7957 |
| No log | 32.8571 | 230 | 0.6383 | 0.4699 | 0.6383 | 0.7989 |
| No log | 33.1429 | 232 | 0.6563 | 0.4766 | 0.6563 | 0.8101 |
| No log | 33.4286 | 234 | 0.6561 | 0.5201 | 0.6561 | 0.8100 |
| No log | 33.7143 | 236 | 0.6752 | 0.5130 | 0.6752 | 0.8217 |
| No log | 34.0 | 238 | 0.7093 | 0.5230 | 0.7093 | 0.8422 |
| No log | 34.2857 | 240 | 0.7227 | 0.5309 | 0.7227 | 0.8501 |
| No log | 34.5714 | 242 | 0.6872 | 0.5315 | 0.6872 | 0.8289 |
| No log | 34.8571 | 244 | 0.6486 | 0.5119 | 0.6486 | 0.8054 |
| No log | 35.1429 | 246 | 0.6133 | 0.5069 | 0.6133 | 0.7831 |
| No log | 35.4286 | 248 | 0.5931 | 0.4960 | 0.5931 | 0.7701 |
| No log | 35.7143 | 250 | 0.5744 | 0.4977 | 0.5744 | 0.7579 |
| No log | 36.0 | 252 | 0.5720 | 0.5091 | 0.5720 | 0.7563 |
| No log | 36.2857 | 254 | 0.5743 | 0.5107 | 0.5743 | 0.7578 |
| No log | 36.5714 | 256 | 0.5692 | 0.4970 | 0.5692 | 0.7544 |
| No log | 36.8571 | 258 | 0.5797 | 0.5071 | 0.5797 | 0.7614 |
| No log | 37.1429 | 260 | 0.6027 | 0.5241 | 0.6027 | 0.7763 |
| No log | 37.4286 | 262 | 0.6385 | 0.4906 | 0.6385 | 0.7991 |
| No log | 37.7143 | 264 | 0.6124 | 0.5038 | 0.6124 | 0.7826 |
| No log | 38.0 | 266 | 0.5946 | 0.4946 | 0.5946 | 0.7711 |
| No log | 38.2857 | 268 | 0.6014 | 0.4948 | 0.6014 | 0.7755 |
| No log | 38.5714 | 270 | 0.6058 | 0.5073 | 0.6058 | 0.7783 |
| No log | 38.8571 | 272 | 0.6235 | 0.4981 | 0.6235 | 0.7896 |
| No log | 39.1429 | 274 | 0.6448 | 0.5460 | 0.6448 | 0.8030 |
| No log | 39.4286 | 276 | 0.6527 | 0.5178 | 0.6527 | 0.8079 |
| No log | 39.7143 | 278 | 0.6400 | 0.5460 | 0.6400 | 0.8000 |
| No log | 40.0 | 280 | 0.6334 | 0.5377 | 0.6334 | 0.7959 |
| No log | 40.2857 | 282 | 0.6301 | 0.5438 | 0.6301 | 0.7938 |
| No log | 40.5714 | 284 | 0.6094 | 0.5075 | 0.6094 | 0.7806 |
| No log | 40.8571 | 286 | 0.6054 | 0.4891 | 0.6054 | 0.7781 |
| No log | 41.1429 | 288 | 0.6015 | 0.4743 | 0.6015 | 0.7756 |
| No log | 41.4286 | 290 | 0.6110 | 0.5179 | 0.6110 | 0.7817 |
| No log | 41.7143 | 292 | 0.6335 | 0.4968 | 0.6335 | 0.7959 |
| No log | 42.0 | 294 | 0.6282 | 0.4890 | 0.6282 | 0.7926 |
| No log | 42.2857 | 296 | 0.5981 | 0.5135 | 0.5981 | 0.7734 |
| No log | 42.5714 | 298 | 0.5795 | 0.5265 | 0.5795 | 0.7612 |
| No log | 42.8571 | 300 | 0.5978 | 0.5446 | 0.5978 | 0.7732 |
| No log | 43.1429 | 302 | 0.6272 | 0.5878 | 0.6272 | 0.7920 |
| No log | 43.4286 | 304 | 0.6441 | 0.5794 | 0.6441 | 0.8025 |
| No log | 43.7143 | 306 | 0.6481 | 0.5982 | 0.6481 | 0.8050 |
| No log | 44.0 | 308 | 0.6550 | 0.5818 | 0.6550 | 0.8093 |
| No log | 44.2857 | 310 | 0.6613 | 0.5758 | 0.6613 | 0.8132 |
| No log | 44.5714 | 312 | 0.6548 | 0.5722 | 0.6548 | 0.8092 |
| No log | 44.8571 | 314 | 0.6441 | 0.5643 | 0.6441 | 0.8026 |
| No log | 45.1429 | 316 | 0.6301 | 0.5519 | 0.6301 | 0.7938 |
| No log | 45.4286 | 318 | 0.6182 | 0.5261 | 0.6182 | 0.7862 |
| No log | 45.7143 | 320 | 0.6108 | 0.4854 | 0.6108 | 0.7815 |
| No log | 46.0 | 322 | 0.6250 | 0.5237 | 0.6250 | 0.7906 |
| No log | 46.2857 | 324 | 0.6376 | 0.5237 | 0.6376 | 0.7985 |
| No log | 46.5714 | 326 | 0.6310 | 0.5237 | 0.6310 | 0.7943 |
| No log | 46.8571 | 328 | 0.6158 | 0.5222 | 0.6158 | 0.7847 |
| No log | 47.1429 | 330 | 0.6123 | 0.5219 | 0.6123 | 0.7825 |
| No log | 47.4286 | 332 | 0.6189 | 0.5190 | 0.6189 | 0.7867 |
| No log | 47.7143 | 334 | 0.6281 | 0.5399 | 0.6281 | 0.7925 |
| No log | 48.0 | 336 | 0.6138 | 0.5160 | 0.6138 | 0.7835 |
| No log | 48.2857 | 338 | 0.5980 | 0.5071 | 0.5980 | 0.7733 |
| No log | 48.5714 | 340 | 0.5929 | 0.5216 | 0.5929 | 0.7700 |
| No log | 48.8571 | 342 | 0.6049 | 0.5545 | 0.6049 | 0.7778 |
| No log | 49.1429 | 344 | 0.6139 | 0.5126 | 0.6139 | 0.7835 |
| No log | 49.4286 | 346 | 0.6038 | 0.5380 | 0.6038 | 0.7771 |
| No log | 49.7143 | 348 | 0.5871 | 0.5192 | 0.5871 | 0.7662 |
| No log | 50.0 | 350 | 0.5877 | 0.4878 | 0.5877 | 0.7666 |
| No log | 50.2857 | 352 | 0.5943 | 0.4848 | 0.5943 | 0.7709 |
| No log | 50.5714 | 354 | 0.5944 | 0.4903 | 0.5944 | 0.7710 |
| No log | 50.8571 | 356 | 0.5971 | 0.4978 | 0.5971 | 0.7727 |
| No log | 51.1429 | 358 | 0.6031 | 0.5141 | 0.6031 | 0.7766 |
| No log | 51.4286 | 360 | 0.6231 | 0.5337 | 0.6231 | 0.7894 |
| No log | 51.7143 | 362 | 0.6632 | 0.5151 | 0.6632 | 0.8144 |
| No log | 52.0 | 364 | 0.6958 | 0.5068 | 0.6958 | 0.8341 |
| No log | 52.2857 | 366 | 0.7378 | 0.4989 | 0.7378 | 0.8590 |
| No log | 52.5714 | 368 | 0.7497 | 0.4915 | 0.7497 | 0.8658 |
| No log | 52.8571 | 370 | 0.7104 | 0.4818 | 0.7104 | 0.8428 |
| No log | 53.1429 | 372 | 0.6758 | 0.4919 | 0.6758 | 0.8220 |
| No log | 53.4286 | 374 | 0.6454 | 0.5240 | 0.6454 | 0.8034 |
| No log | 53.7143 | 376 | 0.6372 | 0.5106 | 0.6372 | 0.7982 |
| No log | 54.0 | 378 | 0.6359 | 0.5257 | 0.6359 | 0.7974 |
| No log | 54.2857 | 380 | 0.6399 | 0.5296 | 0.6399 | 0.7999 |
| No log | 54.5714 | 382 | 0.6451 | 0.5035 | 0.6451 | 0.8032 |
| No log | 54.8571 | 384 | 0.6410 | 0.5081 | 0.6410 | 0.8006 |
| No log | 55.1429 | 386 | 0.6303 | 0.5138 | 0.6303 | 0.7939 |
| No log | 55.4286 | 388 | 0.6152 | 0.5146 | 0.6152 | 0.7843 |
| No log | 55.7143 | 390 | 0.6118 | 0.5118 | 0.6118 | 0.7822 |
| No log | 56.0 | 392 | 0.6154 | 0.5118 | 0.6154 | 0.7845 |
| No log | 56.2857 | 394 | 0.6251 | 0.5128 | 0.6251 | 0.7906 |
| No log | 56.5714 | 396 | 0.6362 | 0.5478 | 0.6362 | 0.7976 |
| No log | 56.8571 | 398 | 0.6469 | 0.5543 | 0.6469 | 0.8043 |
| No log | 57.1429 | 400 | 0.6555 | 0.5393 | 0.6555 | 0.8096 |
| No log | 57.4286 | 402 | 0.6491 | 0.5292 | 0.6491 | 0.8057 |
| No log | 57.7143 | 404 | 0.6421 | 0.5541 | 0.6421 | 0.8013 |
| No log | 58.0 | 406 | 0.6438 | 0.5498 | 0.6438 | 0.8023 |
| No log | 58.2857 | 408 | 0.6437 | 0.5224 | 0.6437 | 0.8023 |
| No log | 58.5714 | 410 | 0.6226 | 0.5383 | 0.6226 | 0.7890 |
| No log | 58.8571 | 412 | 0.6055 | 0.4482 | 0.6055 | 0.7781 |
| No log | 59.1429 | 414 | 0.6026 | 0.4482 | 0.6026 | 0.7763 |
| No log | 59.4286 | 416 | 0.6103 | 0.4276 | 0.6103 | 0.7812 |
| No log | 59.7143 | 418 | 0.6286 | 0.4594 | 0.6286 | 0.7929 |
| No log | 60.0 | 420 | 0.6354 | 0.4816 | 0.6354 | 0.7971 |
| No log | 60.2857 | 422 | 0.6316 | 0.4681 | 0.6316 | 0.7947 |
| No log | 60.5714 | 424 | 0.6406 | 0.4569 | 0.6406 | 0.8003 |
| No log | 60.8571 | 426 | 0.6470 | 0.5156 | 0.6470 | 0.8044 |
| No log | 61.1429 | 428 | 0.6624 | 0.5034 | 0.6624 | 0.8139 |
| No log | 61.4286 | 430 | 0.6701 | 0.5368 | 0.6701 | 0.8186 |
| No log | 61.7143 | 432 | 0.6577 | 0.5586 | 0.6577 | 0.8110 |
| No log | 62.0 | 434 | 0.6560 | 0.5641 | 0.6560 | 0.8099 |
| No log | 62.2857 | 436 | 0.6420 | 0.5622 | 0.6420 | 0.8012 |
| No log | 62.5714 | 438 | 0.6311 | 0.5247 | 0.6311 | 0.7944 |
| No log | 62.8571 | 440 | 0.6290 | 0.5267 | 0.6290 | 0.7931 |
| No log | 63.1429 | 442 | 0.6411 | 0.5165 | 0.6411 | 0.8007 |
| No log | 63.4286 | 444 | 0.6411 | 0.5081 | 0.6411 | 0.8007 |
| No log | 63.7143 | 446 | 0.6399 | 0.4777 | 0.6399 | 0.7999 |
| No log | 64.0 | 448 | 0.6410 | 0.4805 | 0.6410 | 0.8006 |
| No log | 64.2857 | 450 | 0.6378 | 0.4911 | 0.6378 | 0.7986 |
| No log | 64.5714 | 452 | 0.6258 | 0.4958 | 0.6258 | 0.7911 |
| No log | 64.8571 | 454 | 0.6061 | 0.5232 | 0.6061 | 0.7785 |
| No log | 65.1429 | 456 | 0.6015 | 0.5361 | 0.6015 | 0.7756 |
| No log | 65.4286 | 458 | 0.6071 | 0.5551 | 0.6071 | 0.7791 |
| No log | 65.7143 | 460 | 0.6263 | 0.5728 | 0.6263 | 0.7914 |
| No log | 66.0 | 462 | 0.6462 | 0.5569 | 0.6462 | 0.8039 |
| No log | 66.2857 | 464 | 0.6649 | 0.5297 | 0.6649 | 0.8154 |
| No log | 66.5714 | 466 | 0.6590 | 0.5297 | 0.6590 | 0.8118 |
| No log | 66.8571 | 468 | 0.6493 | 0.5297 | 0.6493 | 0.8058 |
| No log | 67.1429 | 470 | 0.6329 | 0.5351 | 0.6329 | 0.7955 |
| No log | 67.4286 | 472 | 0.6168 | 0.5577 | 0.6168 | 0.7853 |
| No log | 67.7143 | 474 | 0.6142 | 0.4998 | 0.6142 | 0.7837 |
| No log | 68.0 | 476 | 0.6321 | 0.5040 | 0.6321 | 0.7950 |
| No log | 68.2857 | 478 | 0.6436 | 0.4994 | 0.6436 | 0.8023 |
| No log | 68.5714 | 480 | 0.6376 | 0.5072 | 0.6376 | 0.7985 |
| No log | 68.8571 | 482 | 0.6209 | 0.4966 | 0.6209 | 0.7880 |
| No log | 69.1429 | 484 | 0.6097 | 0.4971 | 0.6097 | 0.7808 |
| No log | 69.4286 | 486 | 0.6033 | 0.4785 | 0.6033 | 0.7767 |
| No log | 69.7143 | 488 | 0.6016 | 0.5067 | 0.6016 | 0.7756 |
| No log | 70.0 | 490 | 0.6041 | 0.5005 | 0.6041 | 0.7773 |
| No log | 70.2857 | 492 | 0.6077 | 0.5005 | 0.6077 | 0.7795 |
| No log | 70.5714 | 494 | 0.6107 | 0.5005 | 0.6107 | 0.7815 |
| No log | 70.8571 | 496 | 0.6179 | 0.5306 | 0.6179 | 0.7860 |
| No log | 71.1429 | 498 | 0.6268 | 0.5461 | 0.6268 | 0.7917 |
| 0.2186 | 71.4286 | 500 | 0.6272 | 0.5461 | 0.6272 | 0.7920 |
| 0.2186 | 71.7143 | 502 | 0.6199 | 0.5461 | 0.6199 | 0.7873 |
| 0.2186 | 72.0 | 504 | 0.6129 | 0.5433 | 0.6129 | 0.7829 |
| 0.2186 | 72.2857 | 506 | 0.6091 | 0.5077 | 0.6091 | 0.7804 |
| 0.2186 | 72.5714 | 508 | 0.6128 | 0.4908 | 0.6128 | 0.7828 |
| 0.2186 | 72.8571 | 510 | 0.6177 | 0.5164 | 0.6177 | 0.7860 |
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/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k1_task2_organization
Base model
aubmindlab/bert-base-arabertv02