Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k3_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_k3_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_k3_task2_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k3_task2_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k3_task2_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run1_AugV5_k3_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: 0.6211
- Qwk: 0.4889
- Mse: 0.6211
- Rmse: 0.7881
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 | 0.125 | 2 | 4.0777 | -0.0339 | 4.0777 | 2.0193 |
| No log | 0.25 | 4 | 2.4265 | 0.0741 | 2.4265 | 1.5577 |
| No log | 0.375 | 6 | 1.2042 | 0.0687 | 1.2042 | 1.0974 |
| No log | 0.5 | 8 | 0.8717 | 0.0345 | 0.8717 | 0.9336 |
| No log | 0.625 | 10 | 0.8152 | 0.2082 | 0.8152 | 0.9029 |
| No log | 0.75 | 12 | 0.8354 | 0.2041 | 0.8354 | 0.9140 |
| No log | 0.875 | 14 | 1.0774 | 0.0503 | 1.0774 | 1.0380 |
| No log | 1.0 | 16 | 1.6882 | 0.0791 | 1.6882 | 1.2993 |
| No log | 1.125 | 18 | 1.2247 | 0.0718 | 1.2247 | 1.1066 |
| No log | 1.25 | 20 | 0.9073 | 0.1977 | 0.9073 | 0.9525 |
| No log | 1.375 | 22 | 0.7723 | 0.2314 | 0.7723 | 0.8788 |
| No log | 1.5 | 24 | 0.7425 | 0.0867 | 0.7425 | 0.8617 |
| No log | 1.625 | 26 | 0.7933 | 0.0939 | 0.7933 | 0.8907 |
| No log | 1.75 | 28 | 0.7636 | 0.1337 | 0.7636 | 0.8738 |
| No log | 1.875 | 30 | 0.7093 | 0.2723 | 0.7093 | 0.8422 |
| No log | 2.0 | 32 | 0.8054 | 0.2358 | 0.8054 | 0.8975 |
| No log | 2.125 | 34 | 0.7838 | 0.2834 | 0.7838 | 0.8853 |
| No log | 2.25 | 36 | 0.6867 | 0.2982 | 0.6867 | 0.8287 |
| No log | 2.375 | 38 | 0.6468 | 0.3237 | 0.6468 | 0.8042 |
| No log | 2.5 | 40 | 0.6981 | 0.3655 | 0.6981 | 0.8355 |
| No log | 2.625 | 42 | 0.9500 | 0.2739 | 0.9500 | 0.9747 |
| No log | 2.75 | 44 | 0.9777 | 0.2739 | 0.9777 | 0.9888 |
| No log | 2.875 | 46 | 0.8586 | 0.2983 | 0.8586 | 0.9266 |
| No log | 3.0 | 48 | 0.6876 | 0.3450 | 0.6876 | 0.8292 |
| No log | 3.125 | 50 | 0.6134 | 0.3627 | 0.6134 | 0.7832 |
| No log | 3.25 | 52 | 0.6405 | 0.3670 | 0.6405 | 0.8003 |
| No log | 3.375 | 54 | 0.7789 | 0.3254 | 0.7789 | 0.8825 |
| No log | 3.5 | 56 | 1.1733 | 0.2246 | 1.1733 | 1.0832 |
| No log | 3.625 | 58 | 1.5005 | 0.1689 | 1.5005 | 1.2249 |
| No log | 3.75 | 60 | 1.3461 | 0.1714 | 1.3461 | 1.1602 |
| No log | 3.875 | 62 | 0.8868 | 0.3360 | 0.8868 | 0.9417 |
| No log | 4.0 | 64 | 0.6723 | 0.3749 | 0.6723 | 0.8199 |
| No log | 4.125 | 66 | 0.6132 | 0.5004 | 0.6132 | 0.7831 |
| No log | 4.25 | 68 | 0.5796 | 0.4607 | 0.5796 | 0.7613 |
| No log | 4.375 | 70 | 0.5721 | 0.4481 | 0.5721 | 0.7564 |
| No log | 4.5 | 72 | 0.6503 | 0.4218 | 0.6503 | 0.8064 |
| No log | 4.625 | 74 | 0.9407 | 0.3164 | 0.9407 | 0.9699 |
| No log | 4.75 | 76 | 1.2711 | 0.2311 | 1.2711 | 1.1274 |
| No log | 4.875 | 78 | 1.2661 | 0.2045 | 1.2661 | 1.1252 |
| No log | 5.0 | 80 | 0.9261 | 0.3067 | 0.9261 | 0.9624 |
| No log | 5.125 | 82 | 0.5971 | 0.4850 | 0.5971 | 0.7727 |
| No log | 5.25 | 84 | 0.6009 | 0.4147 | 0.6009 | 0.7752 |
| No log | 5.375 | 86 | 0.6415 | 0.4333 | 0.6415 | 0.8009 |
| No log | 5.5 | 88 | 0.6005 | 0.3801 | 0.6005 | 0.7749 |
| No log | 5.625 | 90 | 0.5541 | 0.4354 | 0.5541 | 0.7444 |
| No log | 5.75 | 92 | 0.7275 | 0.3799 | 0.7275 | 0.8529 |
| No log | 5.875 | 94 | 0.9462 | 0.3874 | 0.9462 | 0.9727 |
| No log | 6.0 | 96 | 0.9967 | 0.4017 | 0.9967 | 0.9983 |
| No log | 6.125 | 98 | 0.8081 | 0.4763 | 0.8081 | 0.8990 |
| No log | 6.25 | 100 | 0.7767 | 0.4915 | 0.7767 | 0.8813 |
| No log | 6.375 | 102 | 0.6220 | 0.4945 | 0.6220 | 0.7887 |
| No log | 6.5 | 104 | 0.6022 | 0.5169 | 0.6022 | 0.7760 |
| No log | 6.625 | 106 | 0.6218 | 0.4639 | 0.6218 | 0.7885 |
| No log | 6.75 | 108 | 0.7791 | 0.4706 | 0.7791 | 0.8827 |
| No log | 6.875 | 110 | 0.8671 | 0.3948 | 0.8671 | 0.9312 |
| No log | 7.0 | 112 | 0.7272 | 0.4610 | 0.7272 | 0.8528 |
| No log | 7.125 | 114 | 0.5521 | 0.5137 | 0.5521 | 0.7431 |
| No log | 7.25 | 116 | 0.5495 | 0.5447 | 0.5495 | 0.7413 |
| No log | 7.375 | 118 | 0.5648 | 0.5124 | 0.5648 | 0.7516 |
| No log | 7.5 | 120 | 0.5216 | 0.5845 | 0.5216 | 0.7222 |
| No log | 7.625 | 122 | 0.5376 | 0.5394 | 0.5376 | 0.7332 |
| No log | 7.75 | 124 | 0.6473 | 0.4982 | 0.6473 | 0.8045 |
| No log | 7.875 | 126 | 0.7727 | 0.4407 | 0.7727 | 0.8790 |
| No log | 8.0 | 128 | 0.7813 | 0.4565 | 0.7813 | 0.8839 |
| No log | 8.125 | 130 | 0.7278 | 0.5177 | 0.7278 | 0.8531 |
| No log | 8.25 | 132 | 0.6022 | 0.5889 | 0.6022 | 0.7760 |
| No log | 8.375 | 134 | 0.6445 | 0.5630 | 0.6445 | 0.8028 |
| No log | 8.5 | 136 | 0.7577 | 0.5018 | 0.7577 | 0.8705 |
| No log | 8.625 | 138 | 0.7679 | 0.4895 | 0.7679 | 0.8763 |
| No log | 8.75 | 140 | 0.6686 | 0.5229 | 0.6686 | 0.8177 |
| No log | 8.875 | 142 | 0.5822 | 0.5768 | 0.5822 | 0.7630 |
| No log | 9.0 | 144 | 0.5804 | 0.5358 | 0.5804 | 0.7618 |
| No log | 9.125 | 146 | 0.5927 | 0.5095 | 0.5927 | 0.7699 |
| No log | 9.25 | 148 | 0.6441 | 0.4966 | 0.6441 | 0.8026 |
| No log | 9.375 | 150 | 0.6322 | 0.4736 | 0.6322 | 0.7951 |
| No log | 9.5 | 152 | 0.6183 | 0.4504 | 0.6183 | 0.7863 |
| No log | 9.625 | 154 | 0.6300 | 0.4404 | 0.6300 | 0.7937 |
| No log | 9.75 | 156 | 0.5889 | 0.4897 | 0.5889 | 0.7674 |
| No log | 9.875 | 158 | 0.6055 | 0.5056 | 0.6055 | 0.7782 |
| No log | 10.0 | 160 | 0.5904 | 0.4825 | 0.5904 | 0.7684 |
| No log | 10.125 | 162 | 0.6276 | 0.5030 | 0.6276 | 0.7922 |
| No log | 10.25 | 164 | 0.6551 | 0.5070 | 0.6551 | 0.8094 |
| No log | 10.375 | 166 | 0.6184 | 0.4880 | 0.6184 | 0.7864 |
| No log | 10.5 | 168 | 0.6745 | 0.5079 | 0.6745 | 0.8213 |
| No log | 10.625 | 170 | 0.7020 | 0.5079 | 0.7020 | 0.8378 |
| No log | 10.75 | 172 | 0.7987 | 0.4940 | 0.7987 | 0.8937 |
| No log | 10.875 | 174 | 0.6727 | 0.5288 | 0.6727 | 0.8202 |
| No log | 11.0 | 176 | 0.6208 | 0.5306 | 0.6208 | 0.7879 |
| No log | 11.125 | 178 | 0.7212 | 0.4832 | 0.7212 | 0.8492 |
| No log | 11.25 | 180 | 0.7059 | 0.4989 | 0.7059 | 0.8402 |
| No log | 11.375 | 182 | 0.6031 | 0.4981 | 0.6031 | 0.7766 |
| No log | 11.5 | 184 | 0.6215 | 0.5425 | 0.6215 | 0.7883 |
| No log | 11.625 | 186 | 0.6714 | 0.5618 | 0.6714 | 0.8194 |
| No log | 11.75 | 188 | 0.7142 | 0.5532 | 0.7142 | 0.8451 |
| No log | 11.875 | 190 | 0.6744 | 0.5602 | 0.6744 | 0.8212 |
| No log | 12.0 | 192 | 0.6185 | 0.5630 | 0.6185 | 0.7865 |
| No log | 12.125 | 194 | 0.6021 | 0.5454 | 0.6021 | 0.7760 |
| No log | 12.25 | 196 | 0.6094 | 0.4921 | 0.6094 | 0.7806 |
| No log | 12.375 | 198 | 0.5839 | 0.5087 | 0.5839 | 0.7641 |
| No log | 12.5 | 200 | 0.5694 | 0.5574 | 0.5694 | 0.7546 |
| No log | 12.625 | 202 | 0.5791 | 0.5295 | 0.5791 | 0.7610 |
| No log | 12.75 | 204 | 0.5874 | 0.5410 | 0.5874 | 0.7664 |
| No log | 12.875 | 206 | 0.5516 | 0.5397 | 0.5516 | 0.7427 |
| No log | 13.0 | 208 | 0.5498 | 0.5212 | 0.5498 | 0.7415 |
| No log | 13.125 | 210 | 0.5536 | 0.5530 | 0.5536 | 0.7440 |
| No log | 13.25 | 212 | 0.5591 | 0.5622 | 0.5591 | 0.7477 |
| No log | 13.375 | 214 | 0.5609 | 0.5469 | 0.5609 | 0.7489 |
| No log | 13.5 | 216 | 0.6166 | 0.5582 | 0.6166 | 0.7852 |
| No log | 13.625 | 218 | 0.5767 | 0.5445 | 0.5767 | 0.7594 |
| No log | 13.75 | 220 | 0.5585 | 0.5322 | 0.5585 | 0.7473 |
| No log | 13.875 | 222 | 0.5490 | 0.5511 | 0.5490 | 0.7409 |
| No log | 14.0 | 224 | 0.5757 | 0.5510 | 0.5757 | 0.7587 |
| No log | 14.125 | 226 | 0.5991 | 0.5026 | 0.5991 | 0.7740 |
| No log | 14.25 | 228 | 0.5497 | 0.5137 | 0.5497 | 0.7414 |
| No log | 14.375 | 230 | 0.5381 | 0.5454 | 0.5381 | 0.7336 |
| No log | 14.5 | 232 | 0.5941 | 0.4886 | 0.5941 | 0.7708 |
| No log | 14.625 | 234 | 0.6377 | 0.4782 | 0.6377 | 0.7985 |
| No log | 14.75 | 236 | 0.5687 | 0.5551 | 0.5687 | 0.7541 |
| No log | 14.875 | 238 | 0.5819 | 0.5784 | 0.5819 | 0.7629 |
| No log | 15.0 | 240 | 0.6453 | 0.5247 | 0.6453 | 0.8033 |
| No log | 15.125 | 242 | 0.6497 | 0.5434 | 0.6497 | 0.8060 |
| No log | 15.25 | 244 | 0.5613 | 0.5668 | 0.5613 | 0.7492 |
| No log | 15.375 | 246 | 0.5833 | 0.5042 | 0.5833 | 0.7637 |
| No log | 15.5 | 248 | 0.7115 | 0.4846 | 0.7115 | 0.8435 |
| No log | 15.625 | 250 | 0.6779 | 0.4804 | 0.6779 | 0.8233 |
| No log | 15.75 | 252 | 0.5673 | 0.5075 | 0.5673 | 0.7532 |
| No log | 15.875 | 254 | 0.6060 | 0.5698 | 0.6060 | 0.7785 |
| No log | 16.0 | 256 | 0.6295 | 0.5423 | 0.6295 | 0.7934 |
| No log | 16.125 | 258 | 0.5773 | 0.5602 | 0.5773 | 0.7598 |
| No log | 16.25 | 260 | 0.5732 | 0.4790 | 0.5732 | 0.7571 |
| No log | 16.375 | 262 | 0.7271 | 0.4201 | 0.7271 | 0.8527 |
| No log | 16.5 | 264 | 0.8290 | 0.4205 | 0.8290 | 0.9105 |
| No log | 16.625 | 266 | 0.7346 | 0.4201 | 0.7346 | 0.8571 |
| No log | 16.75 | 268 | 0.5964 | 0.4399 | 0.5964 | 0.7723 |
| No log | 16.875 | 270 | 0.5679 | 0.5377 | 0.5679 | 0.7536 |
| No log | 17.0 | 272 | 0.7084 | 0.4403 | 0.7084 | 0.8417 |
| No log | 17.125 | 274 | 0.7559 | 0.4392 | 0.7559 | 0.8694 |
| No log | 17.25 | 276 | 0.7097 | 0.4701 | 0.7097 | 0.8424 |
| No log | 17.375 | 278 | 0.6152 | 0.4953 | 0.6152 | 0.7843 |
| No log | 17.5 | 280 | 0.5796 | 0.5705 | 0.5796 | 0.7613 |
| No log | 17.625 | 282 | 0.5723 | 0.5705 | 0.5723 | 0.7565 |
| No log | 17.75 | 284 | 0.5727 | 0.5705 | 0.5727 | 0.7568 |
| No log | 17.875 | 286 | 0.5684 | 0.5511 | 0.5684 | 0.7539 |
| No log | 18.0 | 288 | 0.5762 | 0.5705 | 0.5762 | 0.7591 |
| No log | 18.125 | 290 | 0.5660 | 0.5415 | 0.5660 | 0.7523 |
| No log | 18.25 | 292 | 0.5574 | 0.5171 | 0.5574 | 0.7466 |
| No log | 18.375 | 294 | 0.5625 | 0.5357 | 0.5625 | 0.7500 |
| No log | 18.5 | 296 | 0.5683 | 0.5371 | 0.5683 | 0.7539 |
| No log | 18.625 | 298 | 0.5753 | 0.5327 | 0.5753 | 0.7585 |
| No log | 18.75 | 300 | 0.5839 | 0.5560 | 0.5839 | 0.7641 |
| No log | 18.875 | 302 | 0.5758 | 0.5459 | 0.5758 | 0.7588 |
| No log | 19.0 | 304 | 0.5710 | 0.5660 | 0.5710 | 0.7557 |
| No log | 19.125 | 306 | 0.5686 | 0.5547 | 0.5686 | 0.7541 |
| No log | 19.25 | 308 | 0.5689 | 0.5547 | 0.5689 | 0.7543 |
| No log | 19.375 | 310 | 0.5714 | 0.5363 | 0.5714 | 0.7559 |
| No log | 19.5 | 312 | 0.5851 | 0.4906 | 0.5851 | 0.7649 |
| No log | 19.625 | 314 | 0.5819 | 0.5428 | 0.5819 | 0.7628 |
| No log | 19.75 | 316 | 0.5754 | 0.5721 | 0.5754 | 0.7586 |
| No log | 19.875 | 318 | 0.5887 | 0.4784 | 0.5887 | 0.7673 |
| No log | 20.0 | 320 | 0.5755 | 0.5046 | 0.5755 | 0.7586 |
| No log | 20.125 | 322 | 0.5530 | 0.5595 | 0.5530 | 0.7437 |
| No log | 20.25 | 324 | 0.5528 | 0.5527 | 0.5528 | 0.7435 |
| No log | 20.375 | 326 | 0.5718 | 0.5868 | 0.5718 | 0.7561 |
| No log | 20.5 | 328 | 0.5771 | 0.5344 | 0.5771 | 0.7597 |
| No log | 20.625 | 330 | 0.5551 | 0.5613 | 0.5551 | 0.7450 |
| No log | 20.75 | 332 | 0.5828 | 0.4898 | 0.5828 | 0.7634 |
| No log | 20.875 | 334 | 0.5999 | 0.4882 | 0.5999 | 0.7746 |
| No log | 21.0 | 336 | 0.6166 | 0.4612 | 0.6166 | 0.7852 |
| No log | 21.125 | 338 | 0.6152 | 0.4276 | 0.6152 | 0.7844 |
| No log | 21.25 | 340 | 0.5611 | 0.5491 | 0.5611 | 0.7491 |
| No log | 21.375 | 342 | 0.5527 | 0.5795 | 0.5527 | 0.7434 |
| No log | 21.5 | 344 | 0.5647 | 0.5606 | 0.5647 | 0.7515 |
| No log | 21.625 | 346 | 0.5694 | 0.5489 | 0.5694 | 0.7546 |
| No log | 21.75 | 348 | 0.5733 | 0.5234 | 0.5733 | 0.7571 |
| No log | 21.875 | 350 | 0.5673 | 0.5041 | 0.5673 | 0.7532 |
| No log | 22.0 | 352 | 0.5606 | 0.5175 | 0.5606 | 0.7487 |
| No log | 22.125 | 354 | 0.5576 | 0.5278 | 0.5576 | 0.7467 |
| No log | 22.25 | 356 | 0.5483 | 0.5267 | 0.5483 | 0.7405 |
| No log | 22.375 | 358 | 0.5485 | 0.5434 | 0.5485 | 0.7406 |
| No log | 22.5 | 360 | 0.5727 | 0.5180 | 0.5727 | 0.7567 |
| No log | 22.625 | 362 | 0.5727 | 0.5084 | 0.5727 | 0.7567 |
| No log | 22.75 | 364 | 0.5640 | 0.5724 | 0.5640 | 0.7510 |
| No log | 22.875 | 366 | 0.5769 | 0.5323 | 0.5769 | 0.7595 |
| No log | 23.0 | 368 | 0.5951 | 0.5570 | 0.5951 | 0.7714 |
| No log | 23.125 | 370 | 0.6091 | 0.5013 | 0.6091 | 0.7805 |
| No log | 23.25 | 372 | 0.5956 | 0.5256 | 0.5956 | 0.7718 |
| No log | 23.375 | 374 | 0.5671 | 0.5711 | 0.5671 | 0.7531 |
| No log | 23.5 | 376 | 0.5628 | 0.5592 | 0.5628 | 0.7502 |
| No log | 23.625 | 378 | 0.5716 | 0.5274 | 0.5716 | 0.7560 |
| No log | 23.75 | 380 | 0.5875 | 0.4883 | 0.5875 | 0.7665 |
| No log | 23.875 | 382 | 0.5800 | 0.5086 | 0.5800 | 0.7616 |
| No log | 24.0 | 384 | 0.5767 | 0.5299 | 0.5767 | 0.7594 |
| No log | 24.125 | 386 | 0.5926 | 0.5558 | 0.5926 | 0.7698 |
| No log | 24.25 | 388 | 0.6116 | 0.5113 | 0.6116 | 0.7821 |
| No log | 24.375 | 390 | 0.6252 | 0.4598 | 0.6252 | 0.7907 |
| No log | 24.5 | 392 | 0.5896 | 0.5475 | 0.5896 | 0.7679 |
| No log | 24.625 | 394 | 0.5683 | 0.5228 | 0.5683 | 0.7538 |
| No log | 24.75 | 396 | 0.5717 | 0.5167 | 0.5717 | 0.7561 |
| No log | 24.875 | 398 | 0.5971 | 0.5228 | 0.5971 | 0.7728 |
| No log | 25.0 | 400 | 0.6417 | 0.5481 | 0.6417 | 0.8011 |
| No log | 25.125 | 402 | 0.6579 | 0.5174 | 0.6579 | 0.8111 |
| No log | 25.25 | 404 | 0.6499 | 0.5131 | 0.6499 | 0.8062 |
| No log | 25.375 | 406 | 0.6289 | 0.5216 | 0.6289 | 0.7930 |
| No log | 25.5 | 408 | 0.6186 | 0.5251 | 0.6186 | 0.7865 |
| No log | 25.625 | 410 | 0.6131 | 0.5327 | 0.6131 | 0.7830 |
| No log | 25.75 | 412 | 0.6357 | 0.5379 | 0.6357 | 0.7973 |
| No log | 25.875 | 414 | 0.6631 | 0.4966 | 0.6631 | 0.8143 |
| No log | 26.0 | 416 | 0.6424 | 0.4943 | 0.6424 | 0.8015 |
| No log | 26.125 | 418 | 0.6272 | 0.5666 | 0.6272 | 0.7919 |
| No log | 26.25 | 420 | 0.7122 | 0.5499 | 0.7122 | 0.8439 |
| No log | 26.375 | 422 | 0.8158 | 0.5284 | 0.8158 | 0.9032 |
| No log | 26.5 | 424 | 0.8098 | 0.5070 | 0.8098 | 0.8999 |
| No log | 26.625 | 426 | 0.7654 | 0.5284 | 0.7654 | 0.8749 |
| No log | 26.75 | 428 | 0.6806 | 0.5278 | 0.6806 | 0.8250 |
| No log | 26.875 | 430 | 0.6021 | 0.5149 | 0.6021 | 0.7760 |
| No log | 27.0 | 432 | 0.5900 | 0.5132 | 0.5900 | 0.7681 |
| No log | 27.125 | 434 | 0.5873 | 0.5254 | 0.5873 | 0.7664 |
| No log | 27.25 | 436 | 0.5754 | 0.4977 | 0.5754 | 0.7585 |
| No log | 27.375 | 438 | 0.5749 | 0.5179 | 0.5749 | 0.7582 |
| No log | 27.5 | 440 | 0.5763 | 0.5189 | 0.5763 | 0.7592 |
| No log | 27.625 | 442 | 0.5802 | 0.5521 | 0.5802 | 0.7617 |
| No log | 27.75 | 444 | 0.5926 | 0.5625 | 0.5926 | 0.7698 |
| No log | 27.875 | 446 | 0.5975 | 0.5393 | 0.5975 | 0.7730 |
| No log | 28.0 | 448 | 0.5895 | 0.5539 | 0.5895 | 0.7678 |
| No log | 28.125 | 450 | 0.5789 | 0.5566 | 0.5789 | 0.7608 |
| No log | 28.25 | 452 | 0.5734 | 0.5345 | 0.5734 | 0.7573 |
| No log | 28.375 | 454 | 0.5835 | 0.5711 | 0.5835 | 0.7639 |
| No log | 28.5 | 456 | 0.6212 | 0.5681 | 0.6212 | 0.7882 |
| No log | 28.625 | 458 | 0.6507 | 0.5303 | 0.6507 | 0.8067 |
| No log | 28.75 | 460 | 0.6304 | 0.5602 | 0.6304 | 0.7940 |
| No log | 28.875 | 462 | 0.6101 | 0.5364 | 0.6101 | 0.7811 |
| No log | 29.0 | 464 | 0.6114 | 0.5351 | 0.6114 | 0.7819 |
| No log | 29.125 | 466 | 0.5848 | 0.5397 | 0.5848 | 0.7647 |
| No log | 29.25 | 468 | 0.5835 | 0.5023 | 0.5835 | 0.7639 |
| No log | 29.375 | 470 | 0.5872 | 0.5556 | 0.5872 | 0.7663 |
| No log | 29.5 | 472 | 0.5910 | 0.5348 | 0.5910 | 0.7688 |
| No log | 29.625 | 474 | 0.6072 | 0.5144 | 0.6072 | 0.7792 |
| No log | 29.75 | 476 | 0.6472 | 0.5270 | 0.6472 | 0.8045 |
| No log | 29.875 | 478 | 0.6895 | 0.5191 | 0.6895 | 0.8304 |
| No log | 30.0 | 480 | 0.6606 | 0.5304 | 0.6606 | 0.8128 |
| No log | 30.125 | 482 | 0.5978 | 0.5227 | 0.5978 | 0.7732 |
| No log | 30.25 | 484 | 0.5798 | 0.5511 | 0.5798 | 0.7615 |
| No log | 30.375 | 486 | 0.5768 | 0.5453 | 0.5768 | 0.7595 |
| No log | 30.5 | 488 | 0.5989 | 0.5315 | 0.5989 | 0.7739 |
| No log | 30.625 | 490 | 0.6254 | 0.5535 | 0.6254 | 0.7908 |
| No log | 30.75 | 492 | 0.6301 | 0.5619 | 0.6301 | 0.7938 |
| No log | 30.875 | 494 | 0.6285 | 0.5617 | 0.6285 | 0.7928 |
| No log | 31.0 | 496 | 0.6197 | 0.5513 | 0.6197 | 0.7872 |
| No log | 31.125 | 498 | 0.6068 | 0.5111 | 0.6068 | 0.7790 |
| 0.3345 | 31.25 | 500 | 0.6003 | 0.5090 | 0.6003 | 0.7748 |
| 0.3345 | 31.375 | 502 | 0.6054 | 0.5385 | 0.6054 | 0.7781 |
| 0.3345 | 31.5 | 504 | 0.6096 | 0.5367 | 0.6096 | 0.7807 |
| 0.3345 | 31.625 | 506 | 0.6097 | 0.5254 | 0.6097 | 0.7809 |
| 0.3345 | 31.75 | 508 | 0.6026 | 0.5364 | 0.6026 | 0.7763 |
| 0.3345 | 31.875 | 510 | 0.5979 | 0.5197 | 0.5979 | 0.7732 |
| 0.3345 | 32.0 | 512 | 0.5962 | 0.5438 | 0.5962 | 0.7722 |
| 0.3345 | 32.125 | 514 | 0.6043 | 0.5304 | 0.6043 | 0.7773 |
| 0.3345 | 32.25 | 516 | 0.6141 | 0.4934 | 0.6141 | 0.7836 |
| 0.3345 | 32.375 | 518 | 0.6224 | 0.5042 | 0.6224 | 0.7889 |
| 0.3345 | 32.5 | 520 | 0.6214 | 0.4889 | 0.6214 | 0.7883 |
| 0.3345 | 32.625 | 522 | 0.6204 | 0.5016 | 0.6204 | 0.7877 |
| 0.3345 | 32.75 | 524 | 0.6211 | 0.4889 | 0.6211 | 0.7881 |
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_k3_task2_organization
Base model
aubmindlab/bert-base-arabertv02