Instructions to use MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run999_AugV5_k5_task1_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_run999_AugV5_k5_task1_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_run999_AugV5_k5_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run999_AugV5_k5_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run999_AugV5_k5_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_B_usingWellWrittenEssays_FineTuningAraBERT_run999_AugV5_k5_task1_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: 0.9175
- Qwk: 0.6190
- Mse: 0.9175
- Rmse: 0.9579
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 | 0.0714 | 2 | 6.5289 | 0.0308 | 6.5289 | 2.5552 |
| No log | 0.1429 | 4 | 4.1544 | 0.0667 | 4.1544 | 2.0382 |
| No log | 0.2143 | 6 | 2.6134 | 0.0764 | 2.6134 | 1.6166 |
| No log | 0.2857 | 8 | 2.0155 | 0.2256 | 2.0155 | 1.4197 |
| No log | 0.3571 | 10 | 1.8277 | 0.1739 | 1.8277 | 1.3519 |
| No log | 0.4286 | 12 | 1.7749 | 0.1818 | 1.7749 | 1.3322 |
| No log | 0.5 | 14 | 1.6704 | 0.1880 | 1.6704 | 1.2924 |
| No log | 0.5714 | 16 | 1.5500 | 0.1754 | 1.5500 | 1.2450 |
| No log | 0.6429 | 18 | 1.4566 | 0.2478 | 1.4566 | 1.2069 |
| No log | 0.7143 | 20 | 1.3816 | 0.3393 | 1.3816 | 1.1754 |
| No log | 0.7857 | 22 | 1.3895 | 0.3009 | 1.3895 | 1.1788 |
| No log | 0.8571 | 24 | 1.6522 | 0.1709 | 1.6522 | 1.2854 |
| No log | 0.9286 | 26 | 1.6859 | 0.1695 | 1.6859 | 1.2984 |
| No log | 1.0 | 28 | 1.7543 | 0.2276 | 1.7543 | 1.3245 |
| No log | 1.0714 | 30 | 1.3961 | 0.3710 | 1.3961 | 1.1816 |
| No log | 1.1429 | 32 | 1.0705 | 0.5410 | 1.0705 | 1.0346 |
| No log | 1.2143 | 34 | 1.1683 | 0.5082 | 1.1683 | 1.0809 |
| No log | 1.2857 | 36 | 1.0557 | 0.5669 | 1.0557 | 1.0274 |
| No log | 1.3571 | 38 | 1.1428 | 0.5564 | 1.1428 | 1.0690 |
| No log | 1.4286 | 40 | 1.1911 | 0.5344 | 1.1911 | 1.0914 |
| No log | 1.5 | 42 | 1.1420 | 0.5538 | 1.1420 | 1.0687 |
| No log | 1.5714 | 44 | 1.1656 | 0.5238 | 1.1656 | 1.0797 |
| No log | 1.6429 | 46 | 1.2379 | 0.4882 | 1.2379 | 1.1126 |
| No log | 1.7143 | 48 | 1.2183 | 0.5271 | 1.2183 | 1.1038 |
| No log | 1.7857 | 50 | 1.1556 | 0.5781 | 1.1556 | 1.0750 |
| No log | 1.8571 | 52 | 1.0573 | 0.6202 | 1.0573 | 1.0283 |
| No log | 1.9286 | 54 | 1.0669 | 0.5714 | 1.0669 | 1.0329 |
| No log | 2.0 | 56 | 1.1210 | 0.4628 | 1.1210 | 1.0588 |
| No log | 2.0714 | 58 | 1.0871 | 0.4538 | 1.0871 | 1.0426 |
| No log | 2.1429 | 60 | 1.1773 | 0.4769 | 1.1773 | 1.0850 |
| No log | 2.2143 | 62 | 1.2126 | 0.4885 | 1.2126 | 1.1012 |
| No log | 2.2857 | 64 | 1.0706 | 0.5303 | 1.0706 | 1.0347 |
| No log | 2.3571 | 66 | 1.0455 | 0.6074 | 1.0455 | 1.0225 |
| No log | 2.4286 | 68 | 1.2198 | 0.4769 | 1.2198 | 1.1045 |
| No log | 2.5 | 70 | 1.4009 | 0.4478 | 1.4009 | 1.1836 |
| No log | 2.5714 | 72 | 1.3412 | 0.4580 | 1.3412 | 1.1581 |
| No log | 2.6429 | 74 | 1.2918 | 0.4882 | 1.2918 | 1.1366 |
| No log | 2.7143 | 76 | 1.5506 | 0.3307 | 1.5506 | 1.2452 |
| No log | 2.7857 | 78 | 1.4550 | 0.3089 | 1.4550 | 1.2062 |
| No log | 2.8571 | 80 | 1.1575 | 0.5760 | 1.1575 | 1.0759 |
| No log | 2.9286 | 82 | 1.0608 | 0.6016 | 1.0608 | 1.0300 |
| No log | 3.0 | 84 | 1.1827 | 0.5496 | 1.1827 | 1.0875 |
| No log | 3.0714 | 86 | 1.2996 | 0.4091 | 1.2996 | 1.1400 |
| No log | 3.1429 | 88 | 1.0599 | 0.5082 | 1.0599 | 1.0295 |
| No log | 3.2143 | 90 | 1.0583 | 0.496 | 1.0583 | 1.0287 |
| No log | 3.2857 | 92 | 1.1000 | 0.5385 | 1.1000 | 1.0488 |
| No log | 3.3571 | 94 | 1.0539 | 0.5512 | 1.0539 | 1.0266 |
| No log | 3.4286 | 96 | 1.0682 | 0.6047 | 1.0682 | 1.0335 |
| No log | 3.5 | 98 | 1.0665 | 0.5891 | 1.0665 | 1.0327 |
| No log | 3.5714 | 100 | 1.0826 | 0.5846 | 1.0826 | 1.0405 |
| No log | 3.6429 | 102 | 1.0244 | 0.6 | 1.0244 | 1.0121 |
| No log | 3.7143 | 104 | 1.0101 | 0.5760 | 1.0101 | 1.0050 |
| No log | 3.7857 | 106 | 1.0431 | 0.4667 | 1.0431 | 1.0213 |
| No log | 3.8571 | 108 | 1.0587 | 0.4370 | 1.0587 | 1.0289 |
| No log | 3.9286 | 110 | 0.9903 | 0.5691 | 0.9903 | 0.9951 |
| No log | 4.0 | 112 | 1.0563 | 0.6 | 1.0563 | 1.0278 |
| No log | 4.0714 | 114 | 1.1169 | 0.5692 | 1.1169 | 1.0568 |
| No log | 4.1429 | 116 | 1.0868 | 0.5846 | 1.0868 | 1.0425 |
| No log | 4.2143 | 118 | 1.1008 | 0.5231 | 1.1008 | 1.0492 |
| No log | 4.2857 | 120 | 1.0023 | 0.5606 | 1.0023 | 1.0012 |
| No log | 4.3571 | 122 | 0.9146 | 0.6418 | 0.9146 | 0.9563 |
| No log | 4.4286 | 124 | 0.8526 | 0.6565 | 0.8526 | 0.9233 |
| No log | 4.5 | 126 | 0.8120 | 0.6519 | 0.8120 | 0.9011 |
| No log | 4.5714 | 128 | 0.8377 | 0.6074 | 0.8377 | 0.9152 |
| No log | 4.6429 | 130 | 0.8758 | 0.5538 | 0.8758 | 0.9358 |
| No log | 4.7143 | 132 | 0.9033 | 0.6615 | 0.9033 | 0.9504 |
| No log | 4.7857 | 134 | 0.9333 | 0.6615 | 0.9333 | 0.9661 |
| No log | 4.8571 | 136 | 0.9227 | 0.6308 | 0.9227 | 0.9606 |
| No log | 4.9286 | 138 | 0.9168 | 0.6260 | 0.9168 | 0.9575 |
| No log | 5.0 | 140 | 0.9623 | 0.6047 | 0.9623 | 0.9810 |
| No log | 5.0714 | 142 | 0.9516 | 0.5938 | 0.9516 | 0.9755 |
| No log | 5.1429 | 144 | 0.8633 | 0.6917 | 0.8633 | 0.9291 |
| No log | 5.2143 | 146 | 0.7241 | 0.7111 | 0.7241 | 0.8509 |
| No log | 5.2857 | 148 | 0.6730 | 0.7324 | 0.6730 | 0.8204 |
| No log | 5.3571 | 150 | 0.6469 | 0.7042 | 0.6469 | 0.8043 |
| No log | 5.4286 | 152 | 0.6362 | 0.7660 | 0.6362 | 0.7976 |
| No log | 5.5 | 154 | 0.6595 | 0.7429 | 0.6595 | 0.8121 |
| No log | 5.5714 | 156 | 0.6621 | 0.7101 | 0.6621 | 0.8137 |
| No log | 5.6429 | 158 | 0.7130 | 0.7143 | 0.7130 | 0.8444 |
| No log | 5.7143 | 160 | 0.7756 | 0.6763 | 0.7756 | 0.8807 |
| No log | 5.7857 | 162 | 0.9225 | 0.6525 | 0.9225 | 0.9604 |
| No log | 5.8571 | 164 | 1.1063 | 0.5753 | 1.1063 | 1.0518 |
| No log | 5.9286 | 166 | 0.9905 | 0.6324 | 0.9905 | 0.9953 |
| No log | 6.0 | 168 | 0.8482 | 0.6308 | 0.8482 | 0.9210 |
| No log | 6.0714 | 170 | 0.7995 | 0.6519 | 0.7995 | 0.8942 |
| No log | 6.1429 | 172 | 0.8121 | 0.6716 | 0.8121 | 0.9012 |
| No log | 6.2143 | 174 | 0.8826 | 0.6569 | 0.8826 | 0.9395 |
| No log | 6.2857 | 176 | 0.8503 | 0.6667 | 0.8503 | 0.9221 |
| No log | 6.3571 | 178 | 0.8367 | 0.6324 | 0.8367 | 0.9147 |
| No log | 6.4286 | 180 | 0.9219 | 0.6418 | 0.9219 | 0.9601 |
| No log | 6.5 | 182 | 0.9259 | 0.6165 | 0.9259 | 0.9622 |
| No log | 6.5714 | 184 | 0.8731 | 0.6212 | 0.8731 | 0.9344 |
| No log | 6.6429 | 186 | 0.8186 | 0.6615 | 0.8186 | 0.9048 |
| No log | 6.7143 | 188 | 0.8082 | 0.6412 | 0.8082 | 0.8990 |
| No log | 6.7857 | 190 | 0.8354 | 0.6466 | 0.8354 | 0.9140 |
| No log | 6.8571 | 192 | 0.8120 | 0.6567 | 0.8120 | 0.9011 |
| No log | 6.9286 | 194 | 0.8021 | 0.6567 | 0.8021 | 0.8956 |
| No log | 7.0 | 196 | 0.7989 | 0.6466 | 0.7989 | 0.8938 |
| No log | 7.0714 | 198 | 0.8053 | 0.7050 | 0.8053 | 0.8974 |
| No log | 7.1429 | 200 | 0.8461 | 0.6906 | 0.8461 | 0.9199 |
| No log | 7.2143 | 202 | 0.8323 | 0.6767 | 0.8323 | 0.9123 |
| No log | 7.2857 | 204 | 0.8134 | 0.6462 | 0.8134 | 0.9019 |
| No log | 7.3571 | 206 | 0.7933 | 0.6565 | 0.7933 | 0.8907 |
| No log | 7.4286 | 208 | 0.7703 | 0.6515 | 0.7703 | 0.8777 |
| No log | 7.5 | 210 | 0.7642 | 0.6515 | 0.7642 | 0.8742 |
| No log | 7.5714 | 212 | 0.7839 | 0.6667 | 0.7839 | 0.8854 |
| No log | 7.6429 | 214 | 0.7783 | 0.6667 | 0.7783 | 0.8822 |
| No log | 7.7143 | 216 | 0.8187 | 0.6912 | 0.8187 | 0.9048 |
| No log | 7.7857 | 218 | 0.8565 | 0.6667 | 0.8565 | 0.9255 |
| No log | 7.8571 | 220 | 0.8354 | 0.6462 | 0.8354 | 0.9140 |
| No log | 7.9286 | 222 | 0.8444 | 0.6822 | 0.8444 | 0.9189 |
| No log | 8.0 | 224 | 0.8641 | 0.6190 | 0.8641 | 0.9296 |
| No log | 8.0714 | 226 | 0.9041 | 0.5891 | 0.9041 | 0.9508 |
| No log | 8.1429 | 228 | 0.9171 | 0.6061 | 0.9171 | 0.9576 |
| No log | 8.2143 | 230 | 0.9795 | 0.5926 | 0.9795 | 0.9897 |
| No log | 8.2857 | 232 | 0.9123 | 0.6525 | 0.9123 | 0.9551 |
| No log | 8.3571 | 234 | 0.7838 | 0.6763 | 0.7838 | 0.8853 |
| No log | 8.4286 | 236 | 0.7655 | 0.7092 | 0.7655 | 0.8749 |
| No log | 8.5 | 238 | 0.7393 | 0.7092 | 0.7393 | 0.8598 |
| No log | 8.5714 | 240 | 0.7310 | 0.7234 | 0.7310 | 0.8550 |
| No log | 8.6429 | 242 | 0.7271 | 0.7092 | 0.7271 | 0.8527 |
| No log | 8.7143 | 244 | 0.7217 | 0.7092 | 0.7217 | 0.8495 |
| No log | 8.7857 | 246 | 0.7240 | 0.7143 | 0.7240 | 0.8509 |
| No log | 8.8571 | 248 | 0.7309 | 0.7376 | 0.7309 | 0.8549 |
| No log | 8.9286 | 250 | 0.7322 | 0.7376 | 0.7322 | 0.8557 |
| No log | 9.0 | 252 | 0.7349 | 0.7391 | 0.7349 | 0.8572 |
| No log | 9.0714 | 254 | 0.7769 | 0.7111 | 0.7769 | 0.8814 |
| No log | 9.1429 | 256 | 0.8253 | 0.7153 | 0.8253 | 0.9085 |
| No log | 9.2143 | 258 | 0.8157 | 0.6957 | 0.8157 | 0.9031 |
| No log | 9.2857 | 260 | 0.8252 | 0.6715 | 0.8252 | 0.9084 |
| No log | 9.3571 | 262 | 0.9176 | 0.6471 | 0.9176 | 0.9579 |
| No log | 9.4286 | 264 | 0.8947 | 0.6715 | 0.8947 | 0.9459 |
| No log | 9.5 | 266 | 0.7797 | 0.6957 | 0.7797 | 0.8830 |
| No log | 9.5714 | 268 | 0.7687 | 0.6866 | 0.7687 | 0.8767 |
| No log | 9.6429 | 270 | 0.7884 | 0.6866 | 0.7884 | 0.8879 |
| No log | 9.7143 | 272 | 0.7829 | 0.6769 | 0.7829 | 0.8848 |
| No log | 9.7857 | 274 | 0.7801 | 0.7121 | 0.7801 | 0.8832 |
| No log | 9.8571 | 276 | 0.8066 | 0.7121 | 0.8066 | 0.8981 |
| No log | 9.9286 | 278 | 0.8190 | 0.6667 | 0.8190 | 0.9050 |
| No log | 10.0 | 280 | 0.8586 | 0.6094 | 0.8586 | 0.9266 |
| No log | 10.0714 | 282 | 0.8808 | 0.6094 | 0.8808 | 0.9385 |
| No log | 10.1429 | 284 | 0.8515 | 0.6202 | 0.8515 | 0.9228 |
| No log | 10.2143 | 286 | 0.8515 | 0.6357 | 0.8515 | 0.9228 |
| No log | 10.2857 | 288 | 0.8410 | 0.6462 | 0.8410 | 0.9170 |
| No log | 10.3571 | 290 | 0.9141 | 0.6364 | 0.9141 | 0.9561 |
| No log | 10.4286 | 292 | 1.0622 | 0.5758 | 1.0622 | 1.0306 |
| No log | 10.5 | 294 | 1.1393 | 0.5758 | 1.1393 | 1.0674 |
| No log | 10.5714 | 296 | 1.1792 | 0.5564 | 1.1792 | 1.0859 |
| No log | 10.6429 | 298 | 1.0968 | 0.5846 | 1.0968 | 1.0473 |
| No log | 10.7143 | 300 | 1.0128 | 0.6094 | 1.0128 | 1.0064 |
| No log | 10.7857 | 302 | 0.9958 | 0.6357 | 0.9958 | 0.9979 |
| No log | 10.8571 | 304 | 1.0221 | 0.5846 | 1.0221 | 1.0110 |
| No log | 10.9286 | 306 | 1.0383 | 0.5846 | 1.0383 | 1.0190 |
| No log | 11.0 | 308 | 1.0223 | 0.5692 | 1.0223 | 1.0111 |
| No log | 11.0714 | 310 | 1.0224 | 0.5692 | 1.0224 | 1.0111 |
| No log | 11.1429 | 312 | 0.9440 | 0.5938 | 0.9440 | 0.9716 |
| No log | 11.2143 | 314 | 0.8969 | 0.6154 | 0.8969 | 0.9470 |
| No log | 11.2857 | 316 | 0.8977 | 0.6222 | 0.8977 | 0.9475 |
| No log | 11.3571 | 318 | 0.9305 | 0.6074 | 0.9305 | 0.9646 |
| No log | 11.4286 | 320 | 0.8978 | 0.6260 | 0.8978 | 0.9475 |
| No log | 11.5 | 322 | 0.8148 | 0.6818 | 0.8148 | 0.9027 |
| No log | 11.5714 | 324 | 0.8085 | 0.6667 | 0.8085 | 0.8992 |
| No log | 11.6429 | 326 | 0.8076 | 0.6718 | 0.8076 | 0.8987 |
| No log | 11.7143 | 328 | 0.8112 | 0.6412 | 0.8112 | 0.9007 |
| No log | 11.7857 | 330 | 0.8211 | 0.6515 | 0.8211 | 0.9062 |
| No log | 11.8571 | 332 | 0.8213 | 0.6667 | 0.8213 | 0.9063 |
| No log | 11.9286 | 334 | 0.8816 | 0.6438 | 0.8816 | 0.9389 |
| No log | 12.0 | 336 | 0.9401 | 0.6225 | 0.9401 | 0.9696 |
| No log | 12.0714 | 338 | 0.9259 | 0.6861 | 0.9259 | 0.9622 |
| No log | 12.1429 | 340 | 0.9523 | 0.6512 | 0.9523 | 0.9759 |
| No log | 12.2143 | 342 | 0.9888 | 0.6142 | 0.9888 | 0.9944 |
| No log | 12.2857 | 344 | 1.0564 | 0.5873 | 1.0564 | 1.0278 |
| No log | 12.3571 | 346 | 1.1595 | 0.5692 | 1.1595 | 1.0768 |
| No log | 12.4286 | 348 | 1.2126 | 0.5496 | 1.2126 | 1.1012 |
| No log | 12.5 | 350 | 1.0917 | 0.5891 | 1.0917 | 1.0448 |
| No log | 12.5714 | 352 | 0.9340 | 0.5984 | 0.9340 | 0.9665 |
| No log | 12.6429 | 354 | 0.8919 | 0.6406 | 0.8919 | 0.9444 |
| No log | 12.7143 | 356 | 0.8759 | 0.6406 | 0.8759 | 0.9359 |
| No log | 12.7857 | 358 | 0.8718 | 0.6357 | 0.8718 | 0.9337 |
| No log | 12.8571 | 360 | 0.9515 | 0.6061 | 0.9515 | 0.9755 |
| No log | 12.9286 | 362 | 0.9943 | 0.5899 | 0.9943 | 0.9971 |
| No log | 13.0 | 364 | 0.9023 | 0.6131 | 0.9023 | 0.9499 |
| No log | 13.0714 | 366 | 0.8159 | 0.6861 | 0.8159 | 0.9033 |
| No log | 13.1429 | 368 | 0.7702 | 0.7222 | 0.7702 | 0.8776 |
| No log | 13.2143 | 370 | 0.7634 | 0.7075 | 0.7634 | 0.8737 |
| No log | 13.2857 | 372 | 0.8542 | 0.6569 | 0.8542 | 0.9242 |
| No log | 13.3571 | 374 | 0.9519 | 0.6107 | 0.9519 | 0.9756 |
| No log | 13.4286 | 376 | 1.0001 | 0.5938 | 1.0001 | 1.0000 |
| No log | 13.5 | 378 | 1.0401 | 0.5781 | 1.0401 | 1.0198 |
| No log | 13.5714 | 380 | 1.0399 | 0.5781 | 1.0399 | 1.0197 |
| No log | 13.6429 | 382 | 1.0198 | 0.6047 | 1.0198 | 1.0099 |
| No log | 13.7143 | 384 | 1.0373 | 0.5781 | 1.0373 | 1.0185 |
| No log | 13.7857 | 386 | 1.0972 | 0.5354 | 1.0972 | 1.0475 |
| No log | 13.8571 | 388 | 1.1460 | 0.5354 | 1.1460 | 1.0705 |
| No log | 13.9286 | 390 | 1.1157 | 0.5397 | 1.1157 | 1.0563 |
| No log | 14.0 | 392 | 1.0490 | 0.528 | 1.0490 | 1.0242 |
| No log | 14.0714 | 394 | 1.0009 | 0.5645 | 1.0009 | 1.0004 |
| No log | 14.1429 | 396 | 0.9830 | 0.5203 | 0.9830 | 0.9915 |
| No log | 14.2143 | 398 | 0.9386 | 0.576 | 0.9386 | 0.9688 |
| No log | 14.2857 | 400 | 0.9064 | 0.6567 | 0.9064 | 0.9521 |
| No log | 14.3571 | 402 | 0.9939 | 0.6165 | 0.9939 | 0.9970 |
| No log | 14.4286 | 404 | 1.0387 | 0.6316 | 1.0387 | 1.0192 |
| No log | 14.5 | 406 | 1.0340 | 0.6107 | 1.0340 | 1.0169 |
| No log | 14.5714 | 408 | 1.0433 | 0.6 | 1.0433 | 1.0214 |
| No log | 14.6429 | 410 | 0.9720 | 0.6154 | 0.9720 | 0.9859 |
| No log | 14.7143 | 412 | 0.9154 | 0.6357 | 0.9154 | 0.9567 |
| No log | 14.7857 | 414 | 0.8868 | 0.6462 | 0.8868 | 0.9417 |
| No log | 14.8571 | 416 | 0.8879 | 0.6718 | 0.8879 | 0.9423 |
| No log | 14.9286 | 418 | 0.9159 | 0.6462 | 0.9159 | 0.9570 |
| No log | 15.0 | 420 | 0.9539 | 0.6260 | 0.9539 | 0.9767 |
| No log | 15.0714 | 422 | 0.9338 | 0.6260 | 0.9338 | 0.9663 |
| No log | 15.1429 | 424 | 0.8520 | 0.6769 | 0.8520 | 0.9230 |
| No log | 15.2143 | 426 | 0.8220 | 0.6667 | 0.8220 | 0.9067 |
| No log | 15.2857 | 428 | 0.8040 | 0.6299 | 0.8040 | 0.8967 |
| No log | 15.3571 | 430 | 0.7528 | 0.6870 | 0.7528 | 0.8676 |
| No log | 15.4286 | 432 | 0.7808 | 0.6515 | 0.7808 | 0.8836 |
| No log | 15.5 | 434 | 0.8098 | 0.6761 | 0.8098 | 0.8999 |
| No log | 15.5714 | 436 | 0.7996 | 0.6667 | 0.7996 | 0.8942 |
| No log | 15.6429 | 438 | 0.8414 | 0.6815 | 0.8414 | 0.9173 |
| No log | 15.7143 | 440 | 0.9154 | 0.5954 | 0.9154 | 0.9568 |
| No log | 15.7857 | 442 | 0.9577 | 0.5984 | 0.9577 | 0.9786 |
| No log | 15.8571 | 444 | 0.9363 | 0.6190 | 0.9363 | 0.9676 |
| No log | 15.9286 | 446 | 0.9084 | 0.6299 | 0.9084 | 0.9531 |
| No log | 16.0 | 448 | 0.9426 | 0.5984 | 0.9426 | 0.9709 |
| No log | 16.0714 | 450 | 0.9957 | 0.6094 | 0.9957 | 0.9979 |
| No log | 16.1429 | 452 | 0.9823 | 0.6202 | 0.9823 | 0.9911 |
| No log | 16.2143 | 454 | 0.9482 | 0.6299 | 0.9482 | 0.9738 |
| No log | 16.2857 | 456 | 0.9429 | 0.5891 | 0.9429 | 0.9710 |
| No log | 16.3571 | 458 | 0.9620 | 0.5846 | 0.9620 | 0.9808 |
| No log | 16.4286 | 460 | 0.9177 | 0.5954 | 0.9177 | 0.9580 |
| No log | 16.5 | 462 | 0.8469 | 0.6308 | 0.8469 | 0.9203 |
| No log | 16.5714 | 464 | 0.8262 | 0.6565 | 0.8262 | 0.9090 |
| No log | 16.6429 | 466 | 0.7940 | 0.6462 | 0.7940 | 0.8911 |
| No log | 16.7143 | 468 | 0.7470 | 0.6970 | 0.7470 | 0.8643 |
| No log | 16.7857 | 470 | 0.7355 | 0.7111 | 0.7355 | 0.8576 |
| No log | 16.8571 | 472 | 0.7266 | 0.7111 | 0.7266 | 0.8524 |
| No log | 16.9286 | 474 | 0.7538 | 0.6970 | 0.7538 | 0.8682 |
| No log | 17.0 | 476 | 0.7914 | 0.6565 | 0.7914 | 0.8896 |
| No log | 17.0714 | 478 | 0.8429 | 0.6308 | 0.8429 | 0.9181 |
| No log | 17.1429 | 480 | 0.8647 | 0.6308 | 0.8647 | 0.9299 |
| No log | 17.2143 | 482 | 0.9007 | 0.6107 | 0.9007 | 0.9491 |
| No log | 17.2857 | 484 | 0.9078 | 0.6 | 0.9078 | 0.9528 |
| No log | 17.3571 | 486 | 0.9011 | 0.6107 | 0.9011 | 0.9493 |
| No log | 17.4286 | 488 | 0.8969 | 0.6202 | 0.8969 | 0.9470 |
| No log | 17.5 | 490 | 0.9213 | 0.6 | 0.9213 | 0.9599 |
| No log | 17.5714 | 492 | 0.9372 | 0.6 | 0.9372 | 0.9681 |
| No log | 17.6429 | 494 | 0.9087 | 0.6202 | 0.9087 | 0.9533 |
| No log | 17.7143 | 496 | 0.8717 | 0.6357 | 0.8717 | 0.9337 |
| No log | 17.7857 | 498 | 0.8360 | 0.6923 | 0.8360 | 0.9143 |
| 0.2947 | 17.8571 | 500 | 0.8148 | 0.6667 | 0.8148 | 0.9027 |
| 0.2947 | 17.9286 | 502 | 0.7973 | 0.6462 | 0.7973 | 0.8929 |
| 0.2947 | 18.0 | 504 | 0.7710 | 0.6917 | 0.7710 | 0.8781 |
| 0.2947 | 18.0714 | 506 | 0.7311 | 0.6870 | 0.7311 | 0.8550 |
| 0.2947 | 18.1429 | 508 | 0.7461 | 0.7007 | 0.7461 | 0.8637 |
| 0.2947 | 18.2143 | 510 | 0.7870 | 0.6525 | 0.7870 | 0.8871 |
| 0.2947 | 18.2857 | 512 | 0.7841 | 0.6767 | 0.7841 | 0.8855 |
| 0.2947 | 18.3571 | 514 | 0.7727 | 0.6615 | 0.7727 | 0.8790 |
| 0.2947 | 18.4286 | 516 | 0.8492 | 0.6032 | 0.8492 | 0.9215 |
| 0.2947 | 18.5 | 518 | 0.8906 | 0.5528 | 0.8906 | 0.9437 |
| 0.2947 | 18.5714 | 520 | 0.9130 | 0.5484 | 0.9130 | 0.9555 |
| 0.2947 | 18.6429 | 522 | 0.9175 | 0.6190 | 0.9175 | 0.9579 |
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_run999_AugV5_k5_task1_organization
Base model
aubmindlab/bert-base-arabertv02