Instructions to use MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k10_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k10_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k10_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k10_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k10_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k10_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: 1.0111
- Qwk: 0.56
- Mse: 1.0111
- Rmse: 1.0056
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 | 0.0455 | 2 | 6.9249 | 0.0116 | 6.9249 | 2.6315 |
| No log | 0.0909 | 4 | 4.2976 | 0.0833 | 4.2976 | 2.0731 |
| No log | 0.1364 | 6 | 3.4261 | -0.0215 | 3.4261 | 1.8510 |
| No log | 0.1818 | 8 | 2.6630 | 0.0966 | 2.6630 | 1.6319 |
| No log | 0.2273 | 10 | 1.9026 | 0.0855 | 1.9026 | 1.3794 |
| No log | 0.2727 | 12 | 1.7500 | 0.1947 | 1.7500 | 1.3229 |
| No log | 0.3182 | 14 | 1.9872 | 0.1475 | 1.9872 | 1.4097 |
| No log | 0.3636 | 16 | 1.7258 | 0.2393 | 1.7258 | 1.3137 |
| No log | 0.4091 | 18 | 1.6313 | 0.2393 | 1.6313 | 1.2772 |
| No log | 0.4545 | 20 | 1.4634 | 0.2655 | 1.4634 | 1.2097 |
| No log | 0.5 | 22 | 1.4582 | 0.2609 | 1.4582 | 1.2076 |
| No log | 0.5455 | 24 | 1.4956 | 0.1802 | 1.4956 | 1.2230 |
| No log | 0.5909 | 26 | 1.6177 | 0.1852 | 1.6177 | 1.2719 |
| No log | 0.6364 | 28 | 1.5866 | 0.2321 | 1.5866 | 1.2596 |
| No log | 0.6818 | 30 | 2.0635 | -0.0917 | 2.0635 | 1.4365 |
| No log | 0.7273 | 32 | 2.7977 | -0.2314 | 2.7977 | 1.6726 |
| No log | 0.7727 | 34 | 2.8998 | -0.2677 | 2.8998 | 1.7029 |
| No log | 0.8182 | 36 | 1.7269 | 0.2645 | 1.7269 | 1.3141 |
| No log | 0.8636 | 38 | 1.0691 | 0.5426 | 1.0691 | 1.0340 |
| No log | 0.9091 | 40 | 0.9939 | 0.5846 | 0.9939 | 0.9970 |
| No log | 0.9545 | 42 | 1.2128 | 0.4590 | 1.2128 | 1.1013 |
| No log | 1.0 | 44 | 1.9106 | 0.1897 | 1.9106 | 1.3823 |
| No log | 1.0455 | 46 | 1.4357 | 0.3967 | 1.4357 | 1.1982 |
| No log | 1.0909 | 48 | 0.8064 | 0.7353 | 0.8064 | 0.8980 |
| No log | 1.1364 | 50 | 1.3968 | 0.5180 | 1.3968 | 1.1819 |
| No log | 1.1818 | 52 | 1.7481 | 0.3571 | 1.7481 | 1.3222 |
| No log | 1.2273 | 54 | 1.4796 | 0.5 | 1.4796 | 1.2164 |
| No log | 1.2727 | 56 | 1.0269 | 0.5806 | 1.0269 | 1.0134 |
| No log | 1.3182 | 58 | 1.1850 | 0.4724 | 1.1850 | 1.0886 |
| No log | 1.3636 | 60 | 1.5894 | 0.375 | 1.5894 | 1.2607 |
| No log | 1.4091 | 62 | 1.5599 | 0.352 | 1.5599 | 1.2490 |
| No log | 1.4545 | 64 | 1.1155 | 0.5827 | 1.1155 | 1.0562 |
| No log | 1.5 | 66 | 1.0287 | 0.5082 | 1.0287 | 1.0142 |
| No log | 1.5455 | 68 | 1.1506 | 0.4516 | 1.1506 | 1.0726 |
| No log | 1.5909 | 70 | 1.1047 | 0.4628 | 1.1047 | 1.0511 |
| No log | 1.6364 | 72 | 1.0816 | 0.5455 | 1.0816 | 1.0400 |
| No log | 1.6818 | 74 | 1.1031 | 0.5620 | 1.1031 | 1.0503 |
| No log | 1.7273 | 76 | 1.3858 | 0.3590 | 1.3858 | 1.1772 |
| No log | 1.7727 | 78 | 1.5641 | 0.3590 | 1.5641 | 1.2506 |
| No log | 1.8182 | 80 | 1.3881 | 0.3793 | 1.3881 | 1.1782 |
| No log | 1.8636 | 82 | 1.0634 | 0.5455 | 1.0634 | 1.0312 |
| No log | 1.9091 | 84 | 0.9081 | 0.6212 | 0.9081 | 0.9530 |
| No log | 1.9545 | 86 | 0.9596 | 0.5426 | 0.9596 | 0.9796 |
| No log | 2.0 | 88 | 1.3592 | 0.4754 | 1.3592 | 1.1659 |
| No log | 2.0455 | 90 | 1.6733 | 0.3000 | 1.6733 | 1.2935 |
| No log | 2.0909 | 92 | 1.1519 | 0.5156 | 1.1519 | 1.0733 |
| No log | 2.1364 | 94 | 0.8826 | 0.6565 | 0.8826 | 0.9395 |
| No log | 2.1818 | 96 | 0.7777 | 0.6617 | 0.7777 | 0.8819 |
| No log | 2.2273 | 98 | 0.8192 | 0.6970 | 0.8192 | 0.9051 |
| No log | 2.2727 | 100 | 0.7940 | 0.7313 | 0.7940 | 0.8911 |
| No log | 2.3182 | 102 | 0.8673 | 0.6412 | 0.8673 | 0.9313 |
| No log | 2.3636 | 104 | 1.0584 | 0.5758 | 1.0584 | 1.0288 |
| No log | 2.4091 | 106 | 0.9568 | 0.6119 | 0.9568 | 0.9782 |
| No log | 2.4545 | 108 | 0.8599 | 0.6617 | 0.8599 | 0.9273 |
| No log | 2.5 | 110 | 0.7638 | 0.6970 | 0.7638 | 0.8739 |
| No log | 2.5455 | 112 | 0.8140 | 0.6462 | 0.8140 | 0.9022 |
| No log | 2.5909 | 114 | 0.9148 | 0.6462 | 0.9148 | 0.9564 |
| No log | 2.6364 | 116 | 0.8725 | 0.6462 | 0.8725 | 0.9341 |
| No log | 2.6818 | 118 | 0.8146 | 0.6718 | 0.8146 | 0.9025 |
| No log | 2.7273 | 120 | 0.8049 | 0.6715 | 0.8049 | 0.8971 |
| No log | 2.7727 | 122 | 0.7808 | 0.6809 | 0.7808 | 0.8836 |
| No log | 2.8182 | 124 | 1.0025 | 0.6043 | 1.0025 | 1.0012 |
| No log | 2.8636 | 126 | 1.2683 | 0.5507 | 1.2683 | 1.1262 |
| No log | 2.9091 | 128 | 1.1008 | 0.5797 | 1.1008 | 1.0492 |
| No log | 2.9545 | 130 | 0.7710 | 0.6767 | 0.7710 | 0.8781 |
| No log | 3.0 | 132 | 0.8146 | 0.6466 | 0.8146 | 0.9026 |
| No log | 3.0455 | 134 | 0.9165 | 0.5899 | 0.9165 | 0.9573 |
| No log | 3.0909 | 136 | 0.8583 | 0.6142 | 0.8583 | 0.9265 |
| No log | 3.1364 | 138 | 0.9003 | 0.6667 | 0.9003 | 0.9489 |
| No log | 3.1818 | 140 | 1.2188 | 0.4839 | 1.2188 | 1.1040 |
| No log | 3.2273 | 142 | 1.2745 | 0.48 | 1.2745 | 1.1289 |
| No log | 3.2727 | 144 | 1.0753 | 0.6066 | 1.0753 | 1.0370 |
| No log | 3.3182 | 146 | 0.9472 | 0.5528 | 0.9472 | 0.9732 |
| No log | 3.3636 | 148 | 0.8299 | 0.6562 | 0.8299 | 0.9110 |
| No log | 3.4091 | 150 | 0.7078 | 0.7368 | 0.7078 | 0.8413 |
| No log | 3.4545 | 152 | 0.7139 | 0.6857 | 0.7139 | 0.8449 |
| No log | 3.5 | 154 | 1.3549 | 0.5 | 1.3549 | 1.1640 |
| No log | 3.5455 | 156 | 1.9695 | 0.3497 | 1.9695 | 1.4034 |
| No log | 3.5909 | 158 | 1.9931 | 0.3188 | 1.9931 | 1.4118 |
| No log | 3.6364 | 160 | 1.5532 | 0.4265 | 1.5532 | 1.2463 |
| No log | 3.6818 | 162 | 0.9775 | 0.6286 | 0.9775 | 0.9887 |
| No log | 3.7273 | 164 | 0.7464 | 0.7681 | 0.7464 | 0.8639 |
| No log | 3.7727 | 166 | 0.7850 | 0.6963 | 0.7850 | 0.8860 |
| No log | 3.8182 | 168 | 0.8638 | 0.6917 | 0.8638 | 0.9294 |
| No log | 3.8636 | 170 | 1.1205 | 0.4833 | 1.1205 | 1.0585 |
| No log | 3.9091 | 172 | 1.2304 | 0.4500 | 1.2304 | 1.1092 |
| No log | 3.9545 | 174 | 1.0887 | 0.5738 | 1.0887 | 1.0434 |
| No log | 4.0 | 176 | 0.9427 | 0.6016 | 0.9427 | 0.9709 |
| No log | 4.0455 | 178 | 0.9412 | 0.6129 | 0.9412 | 0.9701 |
| No log | 4.0909 | 180 | 0.9403 | 0.608 | 0.9403 | 0.9697 |
| No log | 4.1364 | 182 | 0.9253 | 0.6047 | 0.9253 | 0.9619 |
| No log | 4.1818 | 184 | 0.9229 | 0.5891 | 0.9229 | 0.9607 |
| No log | 4.2273 | 186 | 0.8581 | 0.6154 | 0.8581 | 0.9263 |
| No log | 4.2727 | 188 | 0.7589 | 0.7068 | 0.7589 | 0.8712 |
| No log | 4.3182 | 190 | 0.7781 | 0.6923 | 0.7781 | 0.8821 |
| No log | 4.3636 | 192 | 0.9304 | 0.6142 | 0.9304 | 0.9646 |
| No log | 4.4091 | 194 | 1.0040 | 0.5938 | 1.0040 | 1.0020 |
| No log | 4.4545 | 196 | 0.9835 | 0.5968 | 0.9835 | 0.9917 |
| No log | 4.5 | 198 | 0.9926 | 0.5968 | 0.9926 | 0.9963 |
| No log | 4.5455 | 200 | 0.9880 | 0.5902 | 0.9880 | 0.9940 |
| No log | 4.5909 | 202 | 0.9413 | 0.5785 | 0.9413 | 0.9702 |
| No log | 4.6364 | 204 | 0.9009 | 0.6066 | 0.9009 | 0.9492 |
| No log | 4.6818 | 206 | 0.8115 | 0.6667 | 0.8115 | 0.9008 |
| No log | 4.7273 | 208 | 0.7512 | 0.6970 | 0.7512 | 0.8667 |
| No log | 4.7727 | 210 | 0.7900 | 0.6142 | 0.7900 | 0.8888 |
| No log | 4.8182 | 212 | 0.8516 | 0.6 | 0.8516 | 0.9228 |
| No log | 4.8636 | 214 | 0.7861 | 0.625 | 0.7861 | 0.8866 |
| No log | 4.9091 | 216 | 0.7682 | 0.6822 | 0.7682 | 0.8765 |
| No log | 4.9545 | 218 | 0.7816 | 0.6870 | 0.7816 | 0.8841 |
| No log | 5.0 | 220 | 0.8143 | 0.6667 | 0.8143 | 0.9024 |
| No log | 5.0455 | 222 | 0.8228 | 0.6769 | 0.8228 | 0.9071 |
| No log | 5.0909 | 224 | 0.8543 | 0.656 | 0.8543 | 0.9243 |
| No log | 5.1364 | 226 | 0.8769 | 0.6190 | 0.8769 | 0.9364 |
| No log | 5.1818 | 228 | 0.8720 | 0.6190 | 0.8720 | 0.9338 |
| No log | 5.2273 | 230 | 0.8757 | 0.6142 | 0.8757 | 0.9358 |
| No log | 5.2727 | 232 | 0.8558 | 0.5938 | 0.8558 | 0.9251 |
| No log | 5.3182 | 234 | 0.8427 | 0.6154 | 0.8427 | 0.9180 |
| No log | 5.3636 | 236 | 0.8267 | 0.6870 | 0.8267 | 0.9092 |
| No log | 5.4091 | 238 | 0.8624 | 0.6412 | 0.8624 | 0.9286 |
| No log | 5.4545 | 240 | 0.8935 | 0.6412 | 0.8935 | 0.9452 |
| No log | 5.5 | 242 | 0.8760 | 0.6412 | 0.8760 | 0.9360 |
| No log | 5.5455 | 244 | 0.9457 | 0.5846 | 0.9457 | 0.9725 |
| No log | 5.5909 | 246 | 1.1334 | 0.5185 | 1.1334 | 1.0646 |
| No log | 5.6364 | 248 | 1.2623 | 0.4627 | 1.2623 | 1.1235 |
| No log | 5.6818 | 250 | 1.0528 | 0.5271 | 1.0528 | 1.0261 |
| No log | 5.7273 | 252 | 0.9519 | 0.6718 | 0.9519 | 0.9757 |
| No log | 5.7727 | 254 | 1.0386 | 0.5984 | 1.0386 | 1.0191 |
| No log | 5.8182 | 256 | 0.9566 | 0.6357 | 0.9566 | 0.9781 |
| No log | 5.8636 | 258 | 0.9278 | 0.6260 | 0.9278 | 0.9632 |
| No log | 5.9091 | 260 | 1.0971 | 0.5564 | 1.0971 | 1.0474 |
| No log | 5.9545 | 262 | 1.0422 | 0.6131 | 1.0422 | 1.0209 |
| No log | 6.0 | 264 | 0.9459 | 0.6377 | 0.9459 | 0.9726 |
| No log | 6.0455 | 266 | 0.9048 | 0.6423 | 0.9048 | 0.9512 |
| No log | 6.0909 | 268 | 1.0157 | 0.5970 | 1.0157 | 1.0078 |
| No log | 6.1364 | 270 | 1.1291 | 0.5606 | 1.1291 | 1.0626 |
| No log | 6.1818 | 272 | 1.1770 | 0.5231 | 1.1770 | 1.0849 |
| No log | 6.2273 | 274 | 0.9995 | 0.5469 | 0.9995 | 0.9998 |
| No log | 6.2727 | 276 | 0.8452 | 0.6822 | 0.8452 | 0.9194 |
| No log | 6.3182 | 278 | 0.8177 | 0.6970 | 0.8177 | 0.9043 |
| No log | 6.3636 | 280 | 0.7994 | 0.6818 | 0.7994 | 0.8941 |
| No log | 6.4091 | 282 | 0.8099 | 0.6718 | 0.8099 | 0.9000 |
| No log | 6.4545 | 284 | 1.0842 | 0.5581 | 1.0842 | 1.0413 |
| No log | 6.5 | 286 | 1.3071 | 0.4662 | 1.3071 | 1.1433 |
| No log | 6.5455 | 288 | 1.3055 | 0.4662 | 1.3055 | 1.1426 |
| No log | 6.5909 | 290 | 1.0262 | 0.6015 | 1.0262 | 1.0130 |
| No log | 6.6364 | 292 | 0.8843 | 0.6512 | 0.8843 | 0.9404 |
| No log | 6.6818 | 294 | 0.8947 | 0.7077 | 0.8947 | 0.9459 |
| No log | 6.7273 | 296 | 0.9666 | 0.624 | 0.9666 | 0.9832 |
| No log | 6.7727 | 298 | 1.0423 | 0.6016 | 1.0423 | 1.0210 |
| No log | 6.8182 | 300 | 1.0847 | 0.5366 | 1.0847 | 1.0415 |
| No log | 6.8636 | 302 | 1.0980 | 0.5366 | 1.0980 | 1.0479 |
| No log | 6.9091 | 304 | 1.1653 | 0.4724 | 1.1653 | 1.0795 |
| No log | 6.9545 | 306 | 1.1218 | 0.5 | 1.1218 | 1.0591 |
| No log | 7.0 | 308 | 0.9302 | 0.6260 | 0.9302 | 0.9645 |
| No log | 7.0455 | 310 | 0.7863 | 0.6818 | 0.7863 | 0.8868 |
| No log | 7.0909 | 312 | 0.7945 | 0.7023 | 0.7945 | 0.8914 |
| No log | 7.1364 | 314 | 0.8611 | 0.6457 | 0.8611 | 0.9280 |
| No log | 7.1818 | 316 | 1.0387 | 0.5760 | 1.0387 | 1.0191 |
| No log | 7.2273 | 318 | 1.2078 | 0.4567 | 1.2078 | 1.0990 |
| No log | 7.2727 | 320 | 1.2036 | 0.4603 | 1.2036 | 1.0971 |
| No log | 7.3182 | 322 | 1.0650 | 0.5082 | 1.0650 | 1.0320 |
| No log | 7.3636 | 324 | 0.9529 | 0.608 | 0.9529 | 0.9761 |
| No log | 7.4091 | 326 | 0.8961 | 0.656 | 0.8961 | 0.9466 |
| No log | 7.4545 | 328 | 0.8826 | 0.6290 | 0.8826 | 0.9395 |
| No log | 7.5 | 330 | 0.9297 | 0.6299 | 0.9297 | 0.9642 |
| No log | 7.5455 | 332 | 0.9903 | 0.5625 | 0.9903 | 0.9951 |
| No log | 7.5909 | 334 | 0.9606 | 0.6 | 0.9606 | 0.9801 |
| No log | 7.6364 | 336 | 0.9773 | 0.5736 | 0.9773 | 0.9886 |
| No log | 7.6818 | 338 | 0.9609 | 0.6202 | 0.9609 | 0.9803 |
| No log | 7.7273 | 340 | 1.0033 | 0.5827 | 1.0033 | 1.0017 |
| No log | 7.7727 | 342 | 0.9724 | 0.6406 | 0.9724 | 0.9861 |
| No log | 7.8182 | 344 | 0.9459 | 0.6299 | 0.9459 | 0.9726 |
| No log | 7.8636 | 346 | 0.9332 | 0.6562 | 0.9332 | 0.9660 |
| No log | 7.9091 | 348 | 0.9220 | 0.6299 | 0.9220 | 0.9602 |
| No log | 7.9545 | 350 | 0.8702 | 0.6667 | 0.8702 | 0.9329 |
| No log | 8.0 | 352 | 0.9044 | 0.6299 | 0.9044 | 0.9510 |
| No log | 8.0455 | 354 | 0.9948 | 0.5920 | 0.9948 | 0.9974 |
| No log | 8.0909 | 356 | 1.0169 | 0.5920 | 1.0169 | 1.0084 |
| No log | 8.1364 | 358 | 1.0032 | 0.55 | 1.0032 | 1.0016 |
| No log | 8.1818 | 360 | 1.0272 | 0.4915 | 1.0272 | 1.0135 |
| No log | 8.2273 | 362 | 0.9959 | 0.4915 | 0.9959 | 0.9980 |
| No log | 8.2727 | 364 | 0.8894 | 0.6016 | 0.8894 | 0.9431 |
| No log | 8.3182 | 366 | 0.9025 | 0.5806 | 0.9025 | 0.9500 |
| No log | 8.3636 | 368 | 0.9361 | 0.5714 | 0.9361 | 0.9675 |
| No log | 8.4091 | 370 | 0.9966 | 0.544 | 0.9966 | 0.9983 |
| No log | 8.4545 | 372 | 1.0042 | 0.5645 | 1.0042 | 1.0021 |
| No log | 8.5 | 374 | 0.9591 | 0.5902 | 0.9591 | 0.9793 |
| No log | 8.5455 | 376 | 0.9273 | 0.6290 | 0.9273 | 0.9630 |
| No log | 8.5909 | 378 | 0.8756 | 0.6290 | 0.8756 | 0.9357 |
| No log | 8.6364 | 380 | 0.8436 | 0.6290 | 0.8436 | 0.9185 |
| No log | 8.6818 | 382 | 0.8659 | 0.6349 | 0.8659 | 0.9305 |
| No log | 8.7273 | 384 | 0.9077 | 0.5984 | 0.9077 | 0.9527 |
| No log | 8.7727 | 386 | 0.9509 | 0.5891 | 0.9509 | 0.9751 |
| No log | 8.8182 | 388 | 0.8819 | 0.6094 | 0.8819 | 0.9391 |
| No log | 8.8636 | 390 | 0.8302 | 0.64 | 0.8302 | 0.9111 |
| No log | 8.9091 | 392 | 0.8502 | 0.6129 | 0.8502 | 0.9220 |
| No log | 8.9545 | 394 | 0.9155 | 0.6016 | 0.9155 | 0.9568 |
| No log | 9.0 | 396 | 0.9953 | 0.4828 | 0.9953 | 0.9976 |
| No log | 9.0455 | 398 | 1.0131 | 0.4957 | 1.0131 | 1.0065 |
| No log | 9.0909 | 400 | 0.9831 | 0.4957 | 0.9831 | 0.9915 |
| No log | 9.1364 | 402 | 0.9173 | 0.5902 | 0.9173 | 0.9577 |
| No log | 9.1818 | 404 | 0.8906 | 0.5902 | 0.8906 | 0.9437 |
| No log | 9.2273 | 406 | 0.9033 | 0.5854 | 0.9033 | 0.9504 |
| No log | 9.2727 | 408 | 0.9261 | 0.5738 | 0.9261 | 0.9623 |
| No log | 9.3182 | 410 | 0.9158 | 0.5500 | 0.9158 | 0.9569 |
| No log | 9.3636 | 412 | 0.9472 | 0.5378 | 0.9472 | 0.9732 |
| No log | 9.4091 | 414 | 0.9922 | 0.5738 | 0.9922 | 0.9961 |
| No log | 9.4545 | 416 | 1.0477 | 0.56 | 1.0477 | 1.0236 |
| No log | 9.5 | 418 | 1.0551 | 0.5625 | 1.0551 | 1.0272 |
| No log | 9.5455 | 420 | 0.9757 | 0.5968 | 0.9757 | 0.9878 |
| No log | 9.5909 | 422 | 0.9511 | 0.6016 | 0.9511 | 0.9752 |
| No log | 9.6364 | 424 | 0.9757 | 0.6016 | 0.9757 | 0.9878 |
| No log | 9.6818 | 426 | 1.0491 | 0.5625 | 1.0491 | 1.0243 |
| No log | 9.7273 | 428 | 1.1507 | 0.48 | 1.1507 | 1.0727 |
| No log | 9.7727 | 430 | 1.1352 | 0.48 | 1.1352 | 1.0655 |
| No log | 9.8182 | 432 | 1.0599 | 0.5410 | 1.0599 | 1.0295 |
| No log | 9.8636 | 434 | 1.0042 | 0.55 | 1.0042 | 1.0021 |
| No log | 9.9091 | 436 | 0.9288 | 0.5620 | 0.9288 | 0.9637 |
| No log | 9.9545 | 438 | 0.8690 | 0.6016 | 0.8690 | 0.9322 |
| No log | 10.0 | 440 | 0.8750 | 0.6190 | 0.8750 | 0.9354 |
| No log | 10.0455 | 442 | 0.9710 | 0.5781 | 0.9710 | 0.9854 |
| No log | 10.0909 | 444 | 1.0397 | 0.5079 | 1.0397 | 1.0197 |
| No log | 10.1364 | 446 | 1.0266 | 0.5625 | 1.0266 | 1.0132 |
| No log | 10.1818 | 448 | 1.0155 | 0.5512 | 1.0155 | 1.0077 |
| No log | 10.2273 | 450 | 0.9693 | 0.6299 | 0.9693 | 0.9845 |
| No log | 10.2727 | 452 | 0.8865 | 0.6769 | 0.8865 | 0.9415 |
| No log | 10.3182 | 454 | 0.8823 | 0.6769 | 0.8823 | 0.9393 |
| No log | 10.3636 | 456 | 0.9182 | 0.6364 | 0.9182 | 0.9582 |
| No log | 10.4091 | 458 | 1.0227 | 0.5846 | 1.0227 | 1.0113 |
| No log | 10.4545 | 460 | 1.0560 | 0.5846 | 1.0560 | 1.0276 |
| No log | 10.5 | 462 | 1.1172 | 0.5581 | 1.1172 | 1.0570 |
| No log | 10.5455 | 464 | 1.1545 | 0.5581 | 1.1545 | 1.0745 |
| No log | 10.5909 | 466 | 1.1289 | 0.5827 | 1.1289 | 1.0625 |
| No log | 10.6364 | 468 | 1.1313 | 0.5714 | 1.1313 | 1.0636 |
| No log | 10.6818 | 470 | 1.0770 | 0.5806 | 1.0770 | 1.0378 |
| No log | 10.7273 | 472 | 1.0334 | 0.5806 | 1.0334 | 1.0165 |
| No log | 10.7727 | 474 | 0.9660 | 0.608 | 0.9660 | 0.9828 |
| No log | 10.8182 | 476 | 0.9631 | 0.5920 | 0.9631 | 0.9814 |
| No log | 10.8636 | 478 | 0.9732 | 0.5714 | 0.9732 | 0.9865 |
| No log | 10.9091 | 480 | 0.9975 | 0.5512 | 0.9975 | 0.9988 |
| No log | 10.9545 | 482 | 0.9709 | 0.5714 | 0.9709 | 0.9853 |
| No log | 11.0 | 484 | 0.9816 | 0.5714 | 0.9816 | 0.9908 |
| No log | 11.0455 | 486 | 1.0007 | 0.5161 | 1.0007 | 1.0003 |
| No log | 11.0909 | 488 | 0.9933 | 0.5714 | 0.9933 | 0.9966 |
| No log | 11.1364 | 490 | 0.9594 | 0.5806 | 0.9594 | 0.9795 |
| No log | 11.1818 | 492 | 0.8926 | 0.624 | 0.8926 | 0.9448 |
| No log | 11.2273 | 494 | 0.8515 | 0.64 | 0.8515 | 0.9228 |
| No log | 11.2727 | 496 | 0.8484 | 0.64 | 0.8484 | 0.9211 |
| No log | 11.3182 | 498 | 0.8798 | 0.6190 | 0.8798 | 0.9380 |
| 0.3842 | 11.3636 | 500 | 0.9646 | 0.5920 | 0.9646 | 0.9822 |
| 0.3842 | 11.4091 | 502 | 1.0437 | 0.5625 | 1.0437 | 1.0216 |
| 0.3842 | 11.4545 | 504 | 1.0128 | 0.5827 | 1.0128 | 1.0064 |
| 0.3842 | 11.5 | 506 | 0.8991 | 0.5714 | 0.8991 | 0.9482 |
| 0.3842 | 11.5455 | 508 | 0.8325 | 0.5968 | 0.8325 | 0.9124 |
| 0.3842 | 11.5909 | 510 | 0.8222 | 0.6457 | 0.8222 | 0.9068 |
| 0.3842 | 11.6364 | 512 | 0.8608 | 0.608 | 0.8608 | 0.9278 |
| 0.3842 | 11.6818 | 514 | 0.8554 | 0.5738 | 0.8554 | 0.9249 |
| 0.3842 | 11.7273 | 516 | 0.8458 | 0.6190 | 0.8458 | 0.9196 |
| 0.3842 | 11.7727 | 518 | 0.8995 | 0.5984 | 0.8995 | 0.9484 |
| 0.3842 | 11.8182 | 520 | 0.9361 | 0.5669 | 0.9361 | 0.9675 |
| 0.3842 | 11.8636 | 522 | 0.9256 | 0.5781 | 0.9256 | 0.9621 |
| 0.3842 | 11.9091 | 524 | 0.8540 | 0.6299 | 0.8540 | 0.9241 |
| 0.3842 | 11.9545 | 526 | 0.8542 | 0.6299 | 0.8542 | 0.9242 |
| 0.3842 | 12.0 | 528 | 0.9222 | 0.5984 | 0.9222 | 0.9603 |
| 0.3842 | 12.0455 | 530 | 0.9217 | 0.5984 | 0.9217 | 0.9601 |
| 0.3842 | 12.0909 | 532 | 0.9389 | 0.5984 | 0.9389 | 0.9689 |
| 0.3842 | 12.1364 | 534 | 0.9732 | 0.5873 | 0.9732 | 0.9865 |
| 0.3842 | 12.1818 | 536 | 0.9446 | 0.6032 | 0.9446 | 0.9719 |
| 0.3842 | 12.2273 | 538 | 0.8967 | 0.5920 | 0.8967 | 0.9470 |
| 0.3842 | 12.2727 | 540 | 0.9073 | 0.5920 | 0.9073 | 0.9525 |
| 0.3842 | 12.3182 | 542 | 0.8893 | 0.6190 | 0.8893 | 0.9430 |
| 0.3842 | 12.3636 | 544 | 0.9401 | 0.5781 | 0.9401 | 0.9696 |
| 0.3842 | 12.4091 | 546 | 1.0411 | 0.5469 | 1.0411 | 1.0204 |
| 0.3842 | 12.4545 | 548 | 1.0421 | 0.5581 | 1.0421 | 1.0208 |
| 0.3842 | 12.5 | 550 | 0.9696 | 0.5938 | 0.9696 | 0.9847 |
| 0.3842 | 12.5455 | 552 | 0.9517 | 0.6299 | 0.9517 | 0.9755 |
| 0.3842 | 12.5909 | 554 | 0.9931 | 0.5984 | 0.9931 | 0.9965 |
| 0.3842 | 12.6364 | 556 | 1.0520 | 0.5556 | 1.0520 | 1.0257 |
| 0.3842 | 12.6818 | 558 | 1.0211 | 0.5827 | 1.0211 | 1.0105 |
| 0.3842 | 12.7273 | 560 | 0.9944 | 0.5806 | 0.9944 | 0.9972 |
| 0.3842 | 12.7727 | 562 | 1.0275 | 0.5556 | 1.0275 | 1.0136 |
| 0.3842 | 12.8182 | 564 | 1.0111 | 0.56 | 1.0111 | 1.0056 |
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_usingWellWrittenEssays_FineTuningAraBERT_run3_AugV5_k10_task1_organization
Base model
aubmindlab/bert-base-arabertv02