Instructions to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k15_task5_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_run2_AugV5_k15_task5_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_run2_AugV5_k15_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k15_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k15_task5_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run2_AugV5_k15_task5_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: 0.5416
- Qwk: 0.6557
- Mse: 0.5416
- Rmse: 0.7359
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 | 0.0260 | 2 | 4.1637 | 0.0125 | 4.1637 | 2.0405 |
| No log | 0.0519 | 4 | 2.2931 | 0.0943 | 2.2931 | 1.5143 |
| No log | 0.0779 | 6 | 1.6572 | 0.0639 | 1.6572 | 1.2873 |
| No log | 0.1039 | 8 | 1.1761 | 0.1471 | 1.1761 | 1.0845 |
| No log | 0.1299 | 10 | 1.0906 | 0.2291 | 1.0906 | 1.0443 |
| No log | 0.1558 | 12 | 1.2331 | 0.0670 | 1.2331 | 1.1104 |
| No log | 0.1818 | 14 | 1.5440 | -0.0402 | 1.5440 | 1.2426 |
| No log | 0.2078 | 16 | 1.2177 | 0.1644 | 1.2177 | 1.1035 |
| No log | 0.2338 | 18 | 1.1341 | 0.1465 | 1.1341 | 1.0650 |
| No log | 0.2597 | 20 | 1.0868 | 0.1629 | 1.0868 | 1.0425 |
| No log | 0.2857 | 22 | 1.0385 | 0.2291 | 1.0385 | 1.0191 |
| No log | 0.3117 | 24 | 1.2292 | 0.1433 | 1.2292 | 1.1087 |
| No log | 0.3377 | 26 | 1.1974 | 0.2294 | 1.1974 | 1.0943 |
| No log | 0.3636 | 28 | 1.2084 | 0.2750 | 1.2084 | 1.0993 |
| No log | 0.3896 | 30 | 0.8918 | 0.4755 | 0.8918 | 0.9444 |
| No log | 0.4156 | 32 | 0.9120 | 0.4389 | 0.9120 | 0.9550 |
| No log | 0.4416 | 34 | 1.0755 | 0.2843 | 1.0755 | 1.0370 |
| No log | 0.4675 | 36 | 0.8523 | 0.4739 | 0.8523 | 0.9232 |
| No log | 0.4935 | 38 | 0.7961 | 0.4313 | 0.7961 | 0.8923 |
| No log | 0.5195 | 40 | 0.7842 | 0.3950 | 0.7842 | 0.8856 |
| No log | 0.5455 | 42 | 0.8053 | 0.4456 | 0.8053 | 0.8974 |
| No log | 0.5714 | 44 | 0.9135 | 0.3734 | 0.9135 | 0.9558 |
| No log | 0.5974 | 46 | 1.0655 | 0.1576 | 1.0655 | 1.0323 |
| No log | 0.6234 | 48 | 0.8986 | 0.3734 | 0.8986 | 0.9479 |
| No log | 0.6494 | 50 | 0.7321 | 0.5509 | 0.7321 | 0.8556 |
| No log | 0.6753 | 52 | 0.8618 | 0.3939 | 0.8618 | 0.9283 |
| No log | 0.7013 | 54 | 0.7439 | 0.5317 | 0.7439 | 0.8625 |
| No log | 0.7273 | 56 | 0.7832 | 0.4330 | 0.7832 | 0.8850 |
| No log | 0.7532 | 58 | 0.9274 | 0.3526 | 0.9274 | 0.9630 |
| No log | 0.7792 | 60 | 0.8096 | 0.3695 | 0.8096 | 0.8998 |
| No log | 0.8052 | 62 | 0.8019 | 0.4727 | 0.8019 | 0.8955 |
| No log | 0.8312 | 64 | 1.3618 | 0.3519 | 1.3618 | 1.1670 |
| No log | 0.8571 | 66 | 1.4334 | 0.2884 | 1.4334 | 1.1973 |
| No log | 0.8831 | 68 | 0.9860 | 0.4361 | 0.9860 | 0.9930 |
| No log | 0.9091 | 70 | 0.7336 | 0.5046 | 0.7336 | 0.8565 |
| No log | 0.9351 | 72 | 0.8242 | 0.3577 | 0.8242 | 0.9078 |
| No log | 0.9610 | 74 | 0.7693 | 0.4592 | 0.7693 | 0.8771 |
| No log | 0.9870 | 76 | 0.7209 | 0.5978 | 0.7209 | 0.8490 |
| No log | 1.0130 | 78 | 0.8235 | 0.4444 | 0.8235 | 0.9075 |
| No log | 1.0390 | 80 | 0.8958 | 0.4558 | 0.8958 | 0.9465 |
| No log | 1.0649 | 82 | 0.8709 | 0.3954 | 0.8709 | 0.9332 |
| No log | 1.0909 | 84 | 0.7641 | 0.5088 | 0.7641 | 0.8741 |
| No log | 1.1169 | 86 | 0.7208 | 0.5288 | 0.7208 | 0.8490 |
| No log | 1.1429 | 88 | 0.7127 | 0.5259 | 0.7127 | 0.8442 |
| No log | 1.1688 | 90 | 0.7706 | 0.4613 | 0.7706 | 0.8778 |
| No log | 1.1948 | 92 | 0.8103 | 0.5368 | 0.8103 | 0.9002 |
| No log | 1.2208 | 94 | 0.7678 | 0.5477 | 0.7678 | 0.8762 |
| No log | 1.2468 | 96 | 0.7764 | 0.5746 | 0.7764 | 0.8811 |
| No log | 1.2727 | 98 | 0.9399 | 0.5190 | 0.9399 | 0.9695 |
| No log | 1.2987 | 100 | 0.9730 | 0.5374 | 0.9730 | 0.9864 |
| No log | 1.3247 | 102 | 0.7337 | 0.5510 | 0.7337 | 0.8566 |
| No log | 1.3506 | 104 | 0.7062 | 0.5726 | 0.7062 | 0.8404 |
| No log | 1.3766 | 106 | 0.6796 | 0.6247 | 0.6796 | 0.8244 |
| No log | 1.4026 | 108 | 0.7126 | 0.5482 | 0.7126 | 0.8441 |
| No log | 1.4286 | 110 | 0.6556 | 0.5626 | 0.6556 | 0.8097 |
| No log | 1.4545 | 112 | 0.6651 | 0.6097 | 0.6651 | 0.8155 |
| No log | 1.4805 | 114 | 0.7616 | 0.5825 | 0.7616 | 0.8727 |
| No log | 1.5065 | 116 | 0.7772 | 0.5922 | 0.7772 | 0.8816 |
| No log | 1.5325 | 118 | 0.6605 | 0.5949 | 0.6605 | 0.8127 |
| No log | 1.5584 | 120 | 0.9077 | 0.5150 | 0.9077 | 0.9527 |
| No log | 1.5844 | 122 | 1.1878 | 0.4647 | 1.1878 | 1.0898 |
| No log | 1.6104 | 124 | 1.1292 | 0.4646 | 1.1292 | 1.0627 |
| No log | 1.6364 | 126 | 0.8334 | 0.4889 | 0.8334 | 0.9129 |
| No log | 1.6623 | 128 | 0.7018 | 0.5221 | 0.7018 | 0.8377 |
| No log | 1.6883 | 130 | 0.6888 | 0.5221 | 0.6888 | 0.8300 |
| No log | 1.7143 | 132 | 0.6916 | 0.5223 | 0.6916 | 0.8317 |
| No log | 1.7403 | 134 | 0.7614 | 0.5647 | 0.7614 | 0.8726 |
| No log | 1.7662 | 136 | 0.9773 | 0.4382 | 0.9773 | 0.9886 |
| No log | 1.7922 | 138 | 1.1301 | 0.4425 | 1.1301 | 1.0630 |
| No log | 1.8182 | 140 | 1.0724 | 0.3884 | 1.0724 | 1.0356 |
| No log | 1.8442 | 142 | 0.9280 | 0.4257 | 0.9280 | 0.9634 |
| No log | 1.8701 | 144 | 0.7360 | 0.4168 | 0.7360 | 0.8579 |
| No log | 1.8961 | 146 | 0.6808 | 0.4898 | 0.6808 | 0.8251 |
| No log | 1.9221 | 148 | 0.6933 | 0.5835 | 0.6933 | 0.8327 |
| No log | 1.9481 | 150 | 0.7998 | 0.5119 | 0.7998 | 0.8943 |
| No log | 1.9740 | 152 | 1.1913 | 0.4308 | 1.1913 | 1.0915 |
| No log | 2.0 | 154 | 1.4965 | 0.3766 | 1.4965 | 1.2233 |
| No log | 2.0260 | 156 | 1.4824 | 0.3707 | 1.4824 | 1.2175 |
| No log | 2.0519 | 158 | 1.1939 | 0.3686 | 1.1939 | 1.0926 |
| No log | 2.0779 | 160 | 0.8713 | 0.5213 | 0.8713 | 0.9335 |
| No log | 2.1039 | 162 | 0.7837 | 0.5301 | 0.7837 | 0.8852 |
| No log | 2.1299 | 164 | 0.7998 | 0.5925 | 0.7998 | 0.8943 |
| No log | 2.1558 | 166 | 0.7681 | 0.5738 | 0.7681 | 0.8764 |
| No log | 2.1818 | 168 | 0.7655 | 0.5363 | 0.7655 | 0.8749 |
| No log | 2.2078 | 170 | 0.8817 | 0.5676 | 0.8817 | 0.9390 |
| No log | 2.2338 | 172 | 1.0552 | 0.4866 | 1.0552 | 1.0273 |
| No log | 2.2597 | 174 | 1.0561 | 0.4435 | 1.0561 | 1.0277 |
| No log | 2.2857 | 176 | 1.0174 | 0.4444 | 1.0174 | 1.0086 |
| No log | 2.3117 | 178 | 0.8988 | 0.4987 | 0.8988 | 0.9481 |
| No log | 2.3377 | 180 | 0.8061 | 0.5219 | 0.8061 | 0.8978 |
| No log | 2.3636 | 182 | 0.7544 | 0.5728 | 0.7544 | 0.8685 |
| No log | 2.3896 | 184 | 0.7900 | 0.5655 | 0.7900 | 0.8888 |
| No log | 2.4156 | 186 | 0.9636 | 0.4384 | 0.9636 | 0.9816 |
| No log | 2.4416 | 188 | 1.2372 | 0.4320 | 1.2372 | 1.1123 |
| No log | 2.4675 | 190 | 1.2532 | 0.4147 | 1.2532 | 1.1195 |
| No log | 2.4935 | 192 | 1.0626 | 0.4007 | 1.0626 | 1.0308 |
| No log | 2.5195 | 194 | 0.8382 | 0.5014 | 0.8382 | 0.9155 |
| No log | 2.5455 | 196 | 0.7165 | 0.4952 | 0.7165 | 0.8465 |
| No log | 2.5714 | 198 | 0.6947 | 0.5565 | 0.6947 | 0.8335 |
| No log | 2.5974 | 200 | 0.6795 | 0.5688 | 0.6795 | 0.8243 |
| No log | 2.6234 | 202 | 0.6162 | 0.6407 | 0.6162 | 0.7850 |
| No log | 2.6494 | 204 | 0.6005 | 0.6658 | 0.6005 | 0.7749 |
| No log | 2.6753 | 206 | 0.5961 | 0.6667 | 0.5961 | 0.7721 |
| No log | 2.7013 | 208 | 0.6041 | 0.6368 | 0.6041 | 0.7773 |
| No log | 2.7273 | 210 | 0.6297 | 0.6368 | 0.6297 | 0.7935 |
| No log | 2.7532 | 212 | 0.7004 | 0.5813 | 0.7004 | 0.8369 |
| No log | 2.7792 | 214 | 0.7842 | 0.5342 | 0.7842 | 0.8855 |
| No log | 2.8052 | 216 | 0.7095 | 0.6012 | 0.7095 | 0.8423 |
| No log | 2.8312 | 218 | 0.6331 | 0.7021 | 0.6331 | 0.7957 |
| No log | 2.8571 | 220 | 0.6689 | 0.6911 | 0.6689 | 0.8178 |
| No log | 2.8831 | 222 | 0.6284 | 0.7061 | 0.6284 | 0.7927 |
| No log | 2.9091 | 224 | 0.7235 | 0.5739 | 0.7235 | 0.8506 |
| No log | 2.9351 | 226 | 0.8296 | 0.5666 | 0.8296 | 0.9108 |
| No log | 2.9610 | 228 | 0.7643 | 0.5664 | 0.7643 | 0.8743 |
| No log | 2.9870 | 230 | 0.6361 | 0.5335 | 0.6361 | 0.7976 |
| No log | 3.0130 | 232 | 0.5839 | 0.6451 | 0.5839 | 0.7641 |
| No log | 3.0390 | 234 | 0.7415 | 0.5756 | 0.7415 | 0.8611 |
| No log | 3.0649 | 236 | 0.8862 | 0.5307 | 0.8862 | 0.9414 |
| No log | 3.0909 | 238 | 0.8771 | 0.5307 | 0.8771 | 0.9366 |
| No log | 3.1169 | 240 | 0.7310 | 0.5318 | 0.7310 | 0.8550 |
| No log | 3.1429 | 242 | 0.6150 | 0.5833 | 0.6150 | 0.7842 |
| No log | 3.1688 | 244 | 0.7181 | 0.5212 | 0.7181 | 0.8474 |
| No log | 3.1948 | 246 | 0.7632 | 0.5357 | 0.7632 | 0.8736 |
| No log | 3.2208 | 248 | 0.6973 | 0.5327 | 0.6973 | 0.8350 |
| No log | 3.2468 | 250 | 0.6342 | 0.5650 | 0.6342 | 0.7964 |
| No log | 3.2727 | 252 | 0.6340 | 0.6196 | 0.6340 | 0.7963 |
| No log | 3.2987 | 254 | 0.6405 | 0.6341 | 0.6405 | 0.8003 |
| No log | 3.3247 | 256 | 0.6462 | 0.6442 | 0.6462 | 0.8039 |
| No log | 3.3506 | 258 | 0.6530 | 0.5939 | 0.6530 | 0.8081 |
| No log | 3.3766 | 260 | 0.6606 | 0.5943 | 0.6606 | 0.8127 |
| No log | 3.4026 | 262 | 0.6726 | 0.5669 | 0.6726 | 0.8201 |
| No log | 3.4286 | 264 | 0.6714 | 0.6249 | 0.6714 | 0.8194 |
| No log | 3.4545 | 266 | 0.6762 | 0.5646 | 0.6762 | 0.8223 |
| No log | 3.4805 | 268 | 0.6863 | 0.5752 | 0.6863 | 0.8284 |
| No log | 3.5065 | 270 | 0.6975 | 0.5700 | 0.6975 | 0.8352 |
| No log | 3.5325 | 272 | 0.6904 | 0.5712 | 0.6904 | 0.8309 |
| No log | 3.5584 | 274 | 0.6863 | 0.5656 | 0.6863 | 0.8285 |
| No log | 3.5844 | 276 | 0.6672 | 0.6456 | 0.6672 | 0.8168 |
| No log | 3.6104 | 278 | 0.6519 | 0.6321 | 0.6519 | 0.8074 |
| No log | 3.6364 | 280 | 0.6173 | 0.6711 | 0.6173 | 0.7857 |
| No log | 3.6623 | 282 | 0.6118 | 0.6618 | 0.6118 | 0.7822 |
| No log | 3.6883 | 284 | 0.6433 | 0.6029 | 0.6433 | 0.8020 |
| No log | 3.7143 | 286 | 0.6075 | 0.7117 | 0.6075 | 0.7794 |
| No log | 3.7403 | 288 | 0.6054 | 0.6288 | 0.6054 | 0.7781 |
| No log | 3.7662 | 290 | 0.6111 | 0.6094 | 0.6111 | 0.7817 |
| No log | 3.7922 | 292 | 0.6127 | 0.6652 | 0.6127 | 0.7827 |
| No log | 3.8182 | 294 | 0.6255 | 0.6652 | 0.6255 | 0.7909 |
| No log | 3.8442 | 296 | 0.6050 | 0.6787 | 0.6050 | 0.7778 |
| No log | 3.8701 | 298 | 0.6032 | 0.7056 | 0.6032 | 0.7767 |
| No log | 3.8961 | 300 | 0.6126 | 0.6721 | 0.6126 | 0.7827 |
| No log | 3.9221 | 302 | 0.6491 | 0.6175 | 0.6491 | 0.8057 |
| No log | 3.9481 | 304 | 0.6219 | 0.6780 | 0.6219 | 0.7886 |
| No log | 3.9740 | 306 | 0.6112 | 0.6840 | 0.6112 | 0.7818 |
| No log | 4.0 | 308 | 0.7059 | 0.5809 | 0.7059 | 0.8402 |
| No log | 4.0260 | 310 | 0.7759 | 0.5490 | 0.7759 | 0.8808 |
| No log | 4.0519 | 312 | 0.7547 | 0.5157 | 0.7547 | 0.8687 |
| No log | 4.0779 | 314 | 0.6701 | 0.4626 | 0.6701 | 0.8186 |
| No log | 4.1039 | 316 | 0.6448 | 0.5195 | 0.6448 | 0.8030 |
| No log | 4.1299 | 318 | 0.6487 | 0.4951 | 0.6487 | 0.8054 |
| No log | 4.1558 | 320 | 0.6364 | 0.5171 | 0.6364 | 0.7978 |
| No log | 4.1818 | 322 | 0.6577 | 0.6655 | 0.6577 | 0.8110 |
| No log | 4.2078 | 324 | 0.7127 | 0.5610 | 0.7127 | 0.8442 |
| No log | 4.2338 | 326 | 0.7133 | 0.5728 | 0.7133 | 0.8446 |
| No log | 4.2597 | 328 | 0.6873 | 0.5605 | 0.6873 | 0.8291 |
| No log | 4.2857 | 330 | 0.6750 | 0.6280 | 0.6750 | 0.8216 |
| No log | 4.3117 | 332 | 0.6663 | 0.6209 | 0.6663 | 0.8163 |
| No log | 4.3377 | 334 | 0.6620 | 0.6736 | 0.6620 | 0.8136 |
| No log | 4.3636 | 336 | 0.6775 | 0.6198 | 0.6775 | 0.8231 |
| No log | 4.3896 | 338 | 0.6660 | 0.5959 | 0.6660 | 0.8161 |
| No log | 4.4156 | 340 | 0.6502 | 0.6445 | 0.6502 | 0.8063 |
| No log | 4.4416 | 342 | 0.6616 | 0.6241 | 0.6616 | 0.8134 |
| No log | 4.4675 | 344 | 0.6646 | 0.6349 | 0.6646 | 0.8152 |
| No log | 4.4935 | 346 | 0.6534 | 0.5796 | 0.6534 | 0.8084 |
| No log | 4.5195 | 348 | 0.6597 | 0.6389 | 0.6597 | 0.8122 |
| No log | 4.5455 | 350 | 0.6859 | 0.5766 | 0.6859 | 0.8282 |
| No log | 4.5714 | 352 | 0.7800 | 0.5398 | 0.7800 | 0.8832 |
| No log | 4.5974 | 354 | 0.8758 | 0.5567 | 0.8758 | 0.9358 |
| No log | 4.6234 | 356 | 0.8928 | 0.4889 | 0.8928 | 0.9449 |
| No log | 4.6494 | 358 | 0.8898 | 0.4916 | 0.8898 | 0.9433 |
| No log | 4.6753 | 360 | 0.8660 | 0.4898 | 0.8660 | 0.9306 |
| No log | 4.7013 | 362 | 0.8497 | 0.5094 | 0.8497 | 0.9218 |
| No log | 4.7273 | 364 | 0.7547 | 0.5543 | 0.7547 | 0.8687 |
| No log | 4.7532 | 366 | 0.6929 | 0.6251 | 0.6929 | 0.8324 |
| No log | 4.7792 | 368 | 0.6893 | 0.5713 | 0.6893 | 0.8303 |
| No log | 4.8052 | 370 | 0.7003 | 0.6642 | 0.7003 | 0.8368 |
| No log | 4.8312 | 372 | 0.7128 | 0.6208 | 0.7128 | 0.8443 |
| No log | 4.8571 | 374 | 0.6977 | 0.5798 | 0.6977 | 0.8353 |
| No log | 4.8831 | 376 | 0.6671 | 0.5722 | 0.6671 | 0.8168 |
| No log | 4.9091 | 378 | 0.6798 | 0.5506 | 0.6798 | 0.8245 |
| No log | 4.9351 | 380 | 0.7477 | 0.5698 | 0.7477 | 0.8647 |
| No log | 4.9610 | 382 | 0.7643 | 0.5671 | 0.7643 | 0.8742 |
| No log | 4.9870 | 384 | 0.7362 | 0.5483 | 0.7362 | 0.8580 |
| No log | 5.0130 | 386 | 0.7093 | 0.5641 | 0.7093 | 0.8422 |
| No log | 5.0390 | 388 | 0.6854 | 0.5991 | 0.6854 | 0.8279 |
| No log | 5.0649 | 390 | 0.6850 | 0.6371 | 0.6850 | 0.8277 |
| No log | 5.0909 | 392 | 0.6812 | 0.5610 | 0.6812 | 0.8254 |
| No log | 5.1169 | 394 | 0.6818 | 0.5503 | 0.6818 | 0.8257 |
| No log | 5.1429 | 396 | 0.7087 | 0.6282 | 0.7087 | 0.8418 |
| No log | 5.1688 | 398 | 0.7257 | 0.6118 | 0.7257 | 0.8519 |
| No log | 5.1948 | 400 | 0.7094 | 0.5766 | 0.7094 | 0.8423 |
| No log | 5.2208 | 402 | 0.7165 | 0.4743 | 0.7165 | 0.8465 |
| No log | 5.2468 | 404 | 0.7177 | 0.4743 | 0.7177 | 0.8472 |
| No log | 5.2727 | 406 | 0.7160 | 0.5149 | 0.7160 | 0.8462 |
| No log | 5.2987 | 408 | 0.7404 | 0.6014 | 0.7404 | 0.8605 |
| No log | 5.3247 | 410 | 0.8036 | 0.5380 | 0.8036 | 0.8964 |
| No log | 5.3506 | 412 | 0.7895 | 0.5380 | 0.7895 | 0.8886 |
| No log | 5.3766 | 414 | 0.7425 | 0.5933 | 0.7425 | 0.8617 |
| No log | 5.4026 | 416 | 0.7048 | 0.6039 | 0.7048 | 0.8395 |
| No log | 5.4286 | 418 | 0.7276 | 0.4408 | 0.7276 | 0.8530 |
| No log | 5.4545 | 420 | 0.7573 | 0.4907 | 0.7573 | 0.8702 |
| No log | 5.4805 | 422 | 0.7434 | 0.5011 | 0.7434 | 0.8622 |
| No log | 5.5065 | 424 | 0.7079 | 0.5403 | 0.7079 | 0.8414 |
| No log | 5.5325 | 426 | 0.7130 | 0.6041 | 0.7130 | 0.8444 |
| No log | 5.5584 | 428 | 0.7369 | 0.6002 | 0.7369 | 0.8584 |
| No log | 5.5844 | 430 | 0.7429 | 0.5776 | 0.7429 | 0.8619 |
| No log | 5.6104 | 432 | 0.6834 | 0.6207 | 0.6834 | 0.8267 |
| No log | 5.6364 | 434 | 0.6699 | 0.5807 | 0.6699 | 0.8185 |
| No log | 5.6623 | 436 | 0.8066 | 0.3672 | 0.8066 | 0.8981 |
| No log | 5.6883 | 438 | 0.9216 | 0.4570 | 0.9216 | 0.9600 |
| No log | 5.7143 | 440 | 0.9238 | 0.4556 | 0.9238 | 0.9612 |
| No log | 5.7403 | 442 | 0.8125 | 0.5359 | 0.8125 | 0.9014 |
| No log | 5.7662 | 444 | 0.7110 | 0.5432 | 0.7110 | 0.8432 |
| No log | 5.7922 | 446 | 0.6176 | 0.6553 | 0.6176 | 0.7859 |
| No log | 5.8182 | 448 | 0.6194 | 0.6838 | 0.6194 | 0.7870 |
| No log | 5.8442 | 450 | 0.6145 | 0.6838 | 0.6145 | 0.7839 |
| No log | 5.8701 | 452 | 0.6053 | 0.6374 | 0.6053 | 0.7780 |
| No log | 5.8961 | 454 | 0.6031 | 0.6011 | 0.6031 | 0.7766 |
| No log | 5.9221 | 456 | 0.6151 | 0.6383 | 0.6151 | 0.7843 |
| No log | 5.9481 | 458 | 0.6185 | 0.5895 | 0.6185 | 0.7864 |
| No log | 5.9740 | 460 | 0.6237 | 0.5752 | 0.6237 | 0.7897 |
| No log | 6.0 | 462 | 0.6286 | 0.5954 | 0.6286 | 0.7929 |
| No log | 6.0260 | 464 | 0.6327 | 0.5262 | 0.6327 | 0.7954 |
| No log | 6.0519 | 466 | 0.6409 | 0.5275 | 0.6409 | 0.8006 |
| No log | 6.0779 | 468 | 0.6353 | 0.5455 | 0.6353 | 0.7971 |
| No log | 6.1039 | 470 | 0.6328 | 0.5651 | 0.6328 | 0.7955 |
| No log | 6.1299 | 472 | 0.6242 | 0.5505 | 0.6242 | 0.7901 |
| No log | 6.1558 | 474 | 0.6223 | 0.5466 | 0.6223 | 0.7889 |
| No log | 6.1818 | 476 | 0.6377 | 0.6638 | 0.6377 | 0.7986 |
| No log | 6.2078 | 478 | 0.6445 | 0.6609 | 0.6445 | 0.8028 |
| No log | 6.2338 | 480 | 0.6461 | 0.6780 | 0.6461 | 0.8038 |
| No log | 6.2597 | 482 | 0.6486 | 0.6951 | 0.6486 | 0.8054 |
| No log | 6.2857 | 484 | 0.6479 | 0.6830 | 0.6479 | 0.8049 |
| No log | 6.3117 | 486 | 0.6478 | 0.6392 | 0.6478 | 0.8049 |
| No log | 6.3377 | 488 | 0.6661 | 0.5951 | 0.6661 | 0.8162 |
| No log | 6.3636 | 490 | 0.7063 | 0.5345 | 0.7063 | 0.8404 |
| No log | 6.3896 | 492 | 0.7082 | 0.5345 | 0.7082 | 0.8416 |
| No log | 6.4156 | 494 | 0.6509 | 0.5582 | 0.6509 | 0.8068 |
| No log | 6.4416 | 496 | 0.6247 | 0.6359 | 0.6247 | 0.7904 |
| No log | 6.4675 | 498 | 0.6329 | 0.6758 | 0.6329 | 0.7956 |
| 0.3421 | 6.4935 | 500 | 0.6551 | 0.6874 | 0.6551 | 0.8094 |
| 0.3421 | 6.5195 | 502 | 0.6589 | 0.6142 | 0.6589 | 0.8117 |
| 0.3421 | 6.5455 | 504 | 0.6558 | 0.6008 | 0.6558 | 0.8098 |
| 0.3421 | 6.5714 | 506 | 0.6152 | 0.5002 | 0.6152 | 0.7843 |
| 0.3421 | 6.5974 | 508 | 0.5638 | 0.5631 | 0.5638 | 0.7509 |
| 0.3421 | 6.6234 | 510 | 0.5416 | 0.6557 | 0.5416 | 0.7359 |
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_run2_AugV5_k15_task5_organization
Base model
aubmindlab/bert-base-arabertv02