Instructions to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task5_organization") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits7_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_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: 0.6352
- Qwk: 0.5361
- Mse: 0.6352
- Rmse: 0.7970
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 | 0.1818 | 2 | 3.8235 | -0.0282 | 3.8235 | 1.9554 |
| No log | 0.3636 | 4 | 1.9361 | 0.0219 | 1.9361 | 1.3914 |
| No log | 0.5455 | 6 | 1.2324 | 0.0201 | 1.2324 | 1.1101 |
| No log | 0.7273 | 8 | 1.3362 | -0.0428 | 1.3362 | 1.1560 |
| No log | 0.9091 | 10 | 1.2032 | 0.0700 | 1.2032 | 1.0969 |
| No log | 1.0909 | 12 | 1.3002 | -0.0311 | 1.3002 | 1.1403 |
| No log | 1.2727 | 14 | 1.5652 | 0.1928 | 1.5652 | 1.2511 |
| No log | 1.4545 | 16 | 1.4066 | 0.1085 | 1.4066 | 1.1860 |
| No log | 1.6364 | 18 | 1.9234 | 0.1558 | 1.9234 | 1.3869 |
| No log | 1.8182 | 20 | 1.9006 | 0.1994 | 1.9006 | 1.3786 |
| No log | 2.0 | 22 | 1.1813 | 0.1438 | 1.1813 | 1.0869 |
| No log | 2.1818 | 24 | 0.8411 | 0.4660 | 0.8411 | 0.9171 |
| No log | 2.3636 | 26 | 0.8282 | 0.5054 | 0.8282 | 0.9101 |
| No log | 2.5455 | 28 | 0.9662 | 0.2070 | 0.9662 | 0.9830 |
| No log | 2.7273 | 30 | 1.0793 | 0.2203 | 1.0793 | 1.0389 |
| No log | 2.9091 | 32 | 1.0878 | 0.2598 | 1.0878 | 1.0430 |
| No log | 3.0909 | 34 | 1.0662 | 0.3268 | 1.0662 | 1.0326 |
| No log | 3.2727 | 36 | 0.8863 | 0.4361 | 0.8863 | 0.9414 |
| No log | 3.4545 | 38 | 0.7757 | 0.5102 | 0.7757 | 0.8808 |
| No log | 3.6364 | 40 | 0.7961 | 0.5421 | 0.7961 | 0.8923 |
| No log | 3.8182 | 42 | 1.0786 | 0.4272 | 1.0786 | 1.0386 |
| No log | 4.0 | 44 | 1.2181 | 0.4100 | 1.2181 | 1.1037 |
| No log | 4.1818 | 46 | 0.9724 | 0.4874 | 0.9724 | 0.9861 |
| No log | 4.3636 | 48 | 0.8082 | 0.4885 | 0.8082 | 0.8990 |
| No log | 4.5455 | 50 | 0.8321 | 0.5257 | 0.8321 | 0.9122 |
| No log | 4.7273 | 52 | 0.8313 | 0.5090 | 0.8313 | 0.9118 |
| No log | 4.9091 | 54 | 1.2295 | 0.3964 | 1.2295 | 1.1088 |
| No log | 5.0909 | 56 | 1.1692 | 0.4228 | 1.1692 | 1.0813 |
| No log | 5.2727 | 58 | 0.8592 | 0.4884 | 0.8592 | 0.9269 |
| No log | 5.4545 | 60 | 0.7977 | 0.4526 | 0.7977 | 0.8931 |
| No log | 5.6364 | 62 | 0.8214 | 0.5175 | 0.8214 | 0.9063 |
| No log | 5.8182 | 64 | 0.7761 | 0.4305 | 0.7761 | 0.8810 |
| No log | 6.0 | 66 | 0.8277 | 0.5653 | 0.8277 | 0.9098 |
| No log | 6.1818 | 68 | 0.9754 | 0.4761 | 0.9754 | 0.9876 |
| No log | 6.3636 | 70 | 0.8518 | 0.5232 | 0.8518 | 0.9229 |
| No log | 6.5455 | 72 | 0.7147 | 0.5786 | 0.7147 | 0.8454 |
| No log | 6.7273 | 74 | 0.7593 | 0.5052 | 0.7593 | 0.8714 |
| No log | 6.9091 | 76 | 0.7059 | 0.5786 | 0.7059 | 0.8402 |
| No log | 7.0909 | 78 | 0.7105 | 0.5726 | 0.7105 | 0.8429 |
| No log | 7.2727 | 80 | 0.7829 | 0.5665 | 0.7829 | 0.8848 |
| No log | 7.4545 | 82 | 0.7634 | 0.5665 | 0.7634 | 0.8737 |
| No log | 7.6364 | 84 | 0.6560 | 0.5955 | 0.6560 | 0.8099 |
| No log | 7.8182 | 86 | 0.7154 | 0.5751 | 0.7154 | 0.8458 |
| No log | 8.0 | 88 | 0.7361 | 0.5707 | 0.7361 | 0.8579 |
| No log | 8.1818 | 90 | 0.6228 | 0.6398 | 0.6228 | 0.7892 |
| No log | 8.3636 | 92 | 0.7488 | 0.6246 | 0.7488 | 0.8653 |
| No log | 8.5455 | 94 | 0.7375 | 0.6266 | 0.7375 | 0.8588 |
| No log | 8.7273 | 96 | 0.6190 | 0.6796 | 0.6190 | 0.7868 |
| No log | 8.9091 | 98 | 0.6301 | 0.5866 | 0.6301 | 0.7938 |
| No log | 9.0909 | 100 | 0.6380 | 0.5961 | 0.6380 | 0.7988 |
| No log | 9.2727 | 102 | 0.6773 | 0.6184 | 0.6773 | 0.8230 |
| No log | 9.4545 | 104 | 0.6458 | 0.5046 | 0.6458 | 0.8036 |
| No log | 9.6364 | 106 | 0.6738 | 0.5992 | 0.6738 | 0.8209 |
| No log | 9.8182 | 108 | 0.6936 | 0.5872 | 0.6936 | 0.8328 |
| No log | 10.0 | 110 | 0.6766 | 0.4515 | 0.6766 | 0.8226 |
| No log | 10.1818 | 112 | 0.7245 | 0.5865 | 0.7245 | 0.8512 |
| No log | 10.3636 | 114 | 0.7082 | 0.5650 | 0.7082 | 0.8415 |
| No log | 10.5455 | 116 | 0.6865 | 0.4745 | 0.6865 | 0.8286 |
| No log | 10.7273 | 118 | 0.7277 | 0.5540 | 0.7277 | 0.8531 |
| No log | 10.9091 | 120 | 0.6711 | 0.5605 | 0.6711 | 0.8192 |
| No log | 11.0909 | 122 | 0.7261 | 0.6055 | 0.7261 | 0.8521 |
| No log | 11.2727 | 124 | 0.8405 | 0.5525 | 0.8405 | 0.9168 |
| No log | 11.4545 | 126 | 0.7256 | 0.6013 | 0.7256 | 0.8518 |
| No log | 11.6364 | 128 | 0.6462 | 0.6241 | 0.6462 | 0.8039 |
| No log | 11.8182 | 130 | 0.7347 | 0.5902 | 0.7347 | 0.8572 |
| No log | 12.0 | 132 | 0.7068 | 0.5416 | 0.7068 | 0.8407 |
| No log | 12.1818 | 134 | 0.6481 | 0.5811 | 0.6481 | 0.8050 |
| No log | 12.3636 | 136 | 0.6520 | 0.5127 | 0.6520 | 0.8075 |
| No log | 12.5455 | 138 | 0.6580 | 0.5477 | 0.6580 | 0.8112 |
| No log | 12.7273 | 140 | 0.6520 | 0.6143 | 0.6520 | 0.8074 |
| No log | 12.9091 | 142 | 0.6463 | 0.5822 | 0.6463 | 0.8040 |
| No log | 13.0909 | 144 | 0.6588 | 0.6124 | 0.6588 | 0.8117 |
| No log | 13.2727 | 146 | 0.6646 | 0.5845 | 0.6646 | 0.8152 |
| No log | 13.4545 | 148 | 0.6534 | 0.6032 | 0.6534 | 0.8083 |
| No log | 13.6364 | 150 | 0.6494 | 0.6092 | 0.6494 | 0.8059 |
| No log | 13.8182 | 152 | 0.6474 | 0.6291 | 0.6474 | 0.8046 |
| No log | 14.0 | 154 | 0.6632 | 0.6440 | 0.6632 | 0.8144 |
| No log | 14.1818 | 156 | 0.6731 | 0.6586 | 0.6731 | 0.8204 |
| No log | 14.3636 | 158 | 0.6422 | 0.6876 | 0.6422 | 0.8014 |
| No log | 14.5455 | 160 | 0.6274 | 0.6796 | 0.6274 | 0.7921 |
| No log | 14.7273 | 162 | 0.6310 | 0.6969 | 0.6310 | 0.7944 |
| No log | 14.9091 | 164 | 0.6343 | 0.6940 | 0.6343 | 0.7964 |
| No log | 15.0909 | 166 | 0.6377 | 0.6500 | 0.6377 | 0.7986 |
| No log | 15.2727 | 168 | 0.6380 | 0.6415 | 0.6380 | 0.7987 |
| No log | 15.4545 | 170 | 0.6325 | 0.6770 | 0.6325 | 0.7953 |
| No log | 15.6364 | 172 | 0.6422 | 0.6593 | 0.6422 | 0.8014 |
| No log | 15.8182 | 174 | 0.7077 | 0.6045 | 0.7077 | 0.8413 |
| No log | 16.0 | 176 | 0.7207 | 0.5847 | 0.7207 | 0.8490 |
| No log | 16.1818 | 178 | 0.6768 | 0.6636 | 0.6768 | 0.8227 |
| No log | 16.3636 | 180 | 0.6627 | 0.6306 | 0.6627 | 0.8141 |
| No log | 16.5455 | 182 | 0.6867 | 0.6358 | 0.6867 | 0.8286 |
| No log | 16.7273 | 184 | 0.7593 | 0.5440 | 0.7593 | 0.8714 |
| No log | 16.9091 | 186 | 0.7481 | 0.5625 | 0.7481 | 0.8649 |
| No log | 17.0909 | 188 | 0.6882 | 0.6144 | 0.6882 | 0.8296 |
| No log | 17.2727 | 190 | 0.6554 | 0.5866 | 0.6554 | 0.8096 |
| No log | 17.4545 | 192 | 0.6512 | 0.5774 | 0.6512 | 0.8070 |
| No log | 17.6364 | 194 | 0.6229 | 0.6197 | 0.6229 | 0.7892 |
| No log | 17.8182 | 196 | 0.6448 | 0.5638 | 0.6448 | 0.8030 |
| No log | 18.0 | 198 | 0.6736 | 0.5783 | 0.6736 | 0.8207 |
| No log | 18.1818 | 200 | 0.6802 | 0.5783 | 0.6802 | 0.8247 |
| No log | 18.3636 | 202 | 0.6420 | 0.5882 | 0.6420 | 0.8013 |
| No log | 18.5455 | 204 | 0.6325 | 0.5536 | 0.6325 | 0.7953 |
| No log | 18.7273 | 206 | 0.6529 | 0.5530 | 0.6529 | 0.8080 |
| No log | 18.9091 | 208 | 0.6605 | 0.5748 | 0.6605 | 0.8127 |
| No log | 19.0909 | 210 | 0.6477 | 0.5882 | 0.6477 | 0.8048 |
| No log | 19.2727 | 212 | 0.6360 | 0.5522 | 0.6360 | 0.7975 |
| No log | 19.4545 | 214 | 0.6431 | 0.5377 | 0.6431 | 0.8019 |
| No log | 19.6364 | 216 | 0.6464 | 0.5153 | 0.6464 | 0.8040 |
| No log | 19.8182 | 218 | 0.6686 | 0.5771 | 0.6686 | 0.8177 |
| No log | 20.0 | 220 | 0.6668 | 0.6052 | 0.6668 | 0.8166 |
| No log | 20.1818 | 222 | 0.6412 | 0.6133 | 0.6412 | 0.8007 |
| No log | 20.3636 | 224 | 0.6423 | 0.6500 | 0.6423 | 0.8014 |
| No log | 20.5455 | 226 | 0.6366 | 0.6916 | 0.6366 | 0.7979 |
| No log | 20.7273 | 228 | 0.7009 | 0.6606 | 0.7009 | 0.8372 |
| No log | 20.9091 | 230 | 0.7894 | 0.5520 | 0.7894 | 0.8885 |
| No log | 21.0909 | 232 | 0.7373 | 0.5998 | 0.7373 | 0.8587 |
| No log | 21.2727 | 234 | 0.6385 | 0.6456 | 0.6385 | 0.7991 |
| No log | 21.4545 | 236 | 0.6508 | 0.5964 | 0.6508 | 0.8067 |
| No log | 21.6364 | 238 | 0.6550 | 0.5787 | 0.6550 | 0.8093 |
| No log | 21.8182 | 240 | 0.6532 | 0.5260 | 0.6532 | 0.8082 |
| No log | 22.0 | 242 | 0.7002 | 0.6089 | 0.7002 | 0.8368 |
| No log | 22.1818 | 244 | 0.7470 | 0.5739 | 0.7470 | 0.8643 |
| No log | 22.3636 | 246 | 0.6900 | 0.6418 | 0.6900 | 0.8306 |
| No log | 22.5455 | 248 | 0.6359 | 0.6133 | 0.6359 | 0.7975 |
| No log | 22.7273 | 250 | 0.6350 | 0.5455 | 0.6350 | 0.7969 |
| No log | 22.9091 | 252 | 0.6507 | 0.5787 | 0.6507 | 0.8067 |
| No log | 23.0909 | 254 | 0.6254 | 0.5572 | 0.6254 | 0.7908 |
| No log | 23.2727 | 256 | 0.6157 | 0.5771 | 0.6157 | 0.7847 |
| No log | 23.4545 | 258 | 0.6275 | 0.5436 | 0.6275 | 0.7922 |
| No log | 23.6364 | 260 | 0.6104 | 0.5677 | 0.6104 | 0.7813 |
| No log | 23.8182 | 262 | 0.6005 | 0.5536 | 0.6005 | 0.7749 |
| No log | 24.0 | 264 | 0.5968 | 0.5850 | 0.5968 | 0.7725 |
| No log | 24.1818 | 266 | 0.5993 | 0.6062 | 0.5993 | 0.7741 |
| No log | 24.3636 | 268 | 0.5991 | 0.6846 | 0.5991 | 0.7740 |
| No log | 24.5455 | 270 | 0.6623 | 0.5860 | 0.6623 | 0.8138 |
| No log | 24.7273 | 272 | 0.7111 | 0.5565 | 0.7111 | 0.8432 |
| No log | 24.9091 | 274 | 0.6570 | 0.5686 | 0.6570 | 0.8106 |
| No log | 25.0909 | 276 | 0.6136 | 0.6105 | 0.6136 | 0.7834 |
| No log | 25.2727 | 278 | 0.6422 | 0.5698 | 0.6422 | 0.8014 |
| No log | 25.4545 | 280 | 0.6341 | 0.5477 | 0.6341 | 0.7963 |
| No log | 25.6364 | 282 | 0.6318 | 0.5898 | 0.6318 | 0.7948 |
| No log | 25.8182 | 284 | 0.7070 | 0.5686 | 0.7070 | 0.8408 |
| No log | 26.0 | 286 | 0.7772 | 0.4700 | 0.7772 | 0.8816 |
| No log | 26.1818 | 288 | 0.7524 | 0.4671 | 0.7524 | 0.8674 |
| No log | 26.3636 | 290 | 0.7309 | 0.4845 | 0.7309 | 0.8549 |
| No log | 26.5455 | 292 | 0.6738 | 0.5195 | 0.6738 | 0.8208 |
| No log | 26.7273 | 294 | 0.6437 | 0.5153 | 0.6437 | 0.8023 |
| No log | 26.9091 | 296 | 0.6297 | 0.5734 | 0.6297 | 0.7936 |
| No log | 27.0909 | 298 | 0.6167 | 0.6479 | 0.6167 | 0.7853 |
| No log | 27.2727 | 300 | 0.6714 | 0.6232 | 0.6714 | 0.8194 |
| No log | 27.4545 | 302 | 0.7434 | 0.5843 | 0.7434 | 0.8622 |
| No log | 27.6364 | 304 | 0.7353 | 0.5770 | 0.7353 | 0.8575 |
| No log | 27.8182 | 306 | 0.6760 | 0.5890 | 0.6760 | 0.8222 |
| No log | 28.0 | 308 | 0.6388 | 0.5422 | 0.6388 | 0.7993 |
| No log | 28.1818 | 310 | 0.6377 | 0.5640 | 0.6377 | 0.7986 |
| No log | 28.3636 | 312 | 0.6330 | 0.5618 | 0.6330 | 0.7956 |
| No log | 28.5455 | 314 | 0.6206 | 0.5989 | 0.6206 | 0.7878 |
| No log | 28.7273 | 316 | 0.6098 | 0.5874 | 0.6098 | 0.7809 |
| No log | 28.9091 | 318 | 0.6057 | 0.7003 | 0.6057 | 0.7783 |
| No log | 29.0909 | 320 | 0.6243 | 0.6753 | 0.6243 | 0.7901 |
| No log | 29.2727 | 322 | 0.6562 | 0.6444 | 0.6562 | 0.8100 |
| No log | 29.4545 | 324 | 0.6381 | 0.6334 | 0.6381 | 0.7988 |
| No log | 29.6364 | 326 | 0.6255 | 0.6198 | 0.6255 | 0.7909 |
| No log | 29.8182 | 328 | 0.6517 | 0.5869 | 0.6517 | 0.8073 |
| No log | 30.0 | 330 | 0.6879 | 0.5614 | 0.6879 | 0.8294 |
| No log | 30.1818 | 332 | 0.6685 | 0.5751 | 0.6685 | 0.8176 |
| No log | 30.3636 | 334 | 0.6445 | 0.6175 | 0.6445 | 0.8028 |
| No log | 30.5455 | 336 | 0.6525 | 0.6564 | 0.6525 | 0.8078 |
| No log | 30.7273 | 338 | 0.6583 | 0.6564 | 0.6583 | 0.8113 |
| No log | 30.9091 | 340 | 0.6526 | 0.6302 | 0.6526 | 0.8079 |
| No log | 31.0909 | 342 | 0.6671 | 0.5902 | 0.6671 | 0.8168 |
| No log | 31.2727 | 344 | 0.6661 | 0.5821 | 0.6661 | 0.8162 |
| No log | 31.4545 | 346 | 0.6519 | 0.6013 | 0.6519 | 0.8074 |
| No log | 31.6364 | 348 | 0.6588 | 0.5436 | 0.6588 | 0.8117 |
| No log | 31.8182 | 350 | 0.6616 | 0.5316 | 0.6616 | 0.8134 |
| No log | 32.0 | 352 | 0.6376 | 0.6317 | 0.6376 | 0.7985 |
| No log | 32.1818 | 354 | 0.6213 | 0.6433 | 0.6213 | 0.7882 |
| No log | 32.3636 | 356 | 0.6176 | 0.6772 | 0.6176 | 0.7859 |
| No log | 32.5455 | 358 | 0.6191 | 0.6675 | 0.6191 | 0.7868 |
| No log | 32.7273 | 360 | 0.6329 | 0.6850 | 0.6329 | 0.7956 |
| No log | 32.9091 | 362 | 0.6525 | 0.6330 | 0.6525 | 0.8078 |
| No log | 33.0909 | 364 | 0.6347 | 0.6344 | 0.6347 | 0.7967 |
| No log | 33.2727 | 366 | 0.6247 | 0.6602 | 0.6247 | 0.7904 |
| No log | 33.4545 | 368 | 0.6218 | 0.6634 | 0.6218 | 0.7885 |
| No log | 33.6364 | 370 | 0.6288 | 0.6217 | 0.6288 | 0.7930 |
| No log | 33.8182 | 372 | 0.6283 | 0.6217 | 0.6283 | 0.7927 |
| No log | 34.0 | 374 | 0.6369 | 0.5890 | 0.6369 | 0.7981 |
| No log | 34.1818 | 376 | 0.6172 | 0.6526 | 0.6172 | 0.7856 |
| No log | 34.3636 | 378 | 0.6062 | 0.6796 | 0.6062 | 0.7786 |
| No log | 34.5455 | 380 | 0.6082 | 0.6681 | 0.6082 | 0.7799 |
| No log | 34.7273 | 382 | 0.6067 | 0.6932 | 0.6067 | 0.7789 |
| No log | 34.9091 | 384 | 0.6083 | 0.7064 | 0.6083 | 0.7799 |
| No log | 35.0909 | 386 | 0.6153 | 0.7064 | 0.6153 | 0.7844 |
| No log | 35.2727 | 388 | 0.6164 | 0.6650 | 0.6164 | 0.7851 |
| No log | 35.4545 | 390 | 0.6076 | 0.6903 | 0.6076 | 0.7795 |
| No log | 35.6364 | 392 | 0.6280 | 0.6911 | 0.6280 | 0.7925 |
| No log | 35.8182 | 394 | 0.6852 | 0.5770 | 0.6852 | 0.8278 |
| No log | 36.0 | 396 | 0.7002 | 0.5362 | 0.7002 | 0.8368 |
| No log | 36.1818 | 398 | 0.6565 | 0.5566 | 0.6565 | 0.8103 |
| No log | 36.3636 | 400 | 0.6176 | 0.6606 | 0.6176 | 0.7859 |
| No log | 36.5455 | 402 | 0.6276 | 0.5676 | 0.6276 | 0.7922 |
| No log | 36.7273 | 404 | 0.6232 | 0.5774 | 0.6232 | 0.7894 |
| No log | 36.9091 | 406 | 0.5981 | 0.6788 | 0.5981 | 0.7733 |
| No log | 37.0909 | 408 | 0.5891 | 0.6442 | 0.5891 | 0.7675 |
| No log | 37.2727 | 410 | 0.5887 | 0.6564 | 0.5887 | 0.7673 |
| No log | 37.4545 | 412 | 0.5864 | 0.6733 | 0.5864 | 0.7658 |
| No log | 37.6364 | 414 | 0.5875 | 0.6733 | 0.5875 | 0.7665 |
| No log | 37.8182 | 416 | 0.5959 | 0.6427 | 0.5959 | 0.7719 |
| No log | 38.0 | 418 | 0.6190 | 0.5650 | 0.6190 | 0.7867 |
| No log | 38.1818 | 420 | 0.6661 | 0.5127 | 0.6661 | 0.8162 |
| No log | 38.3636 | 422 | 0.6574 | 0.5242 | 0.6574 | 0.8108 |
| No log | 38.5455 | 424 | 0.6198 | 0.5879 | 0.6198 | 0.7873 |
| No log | 38.7273 | 426 | 0.5982 | 0.6292 | 0.5982 | 0.7734 |
| No log | 38.9091 | 428 | 0.5979 | 0.6307 | 0.5979 | 0.7733 |
| No log | 39.0909 | 430 | 0.6117 | 0.6292 | 0.6117 | 0.7821 |
| No log | 39.2727 | 432 | 0.6270 | 0.5879 | 0.6270 | 0.7918 |
| No log | 39.4545 | 434 | 0.6104 | 0.6625 | 0.6104 | 0.7813 |
| No log | 39.6364 | 436 | 0.6060 | 0.6690 | 0.6060 | 0.7785 |
| No log | 39.8182 | 438 | 0.6134 | 0.6672 | 0.6134 | 0.7832 |
| No log | 40.0 | 440 | 0.6091 | 0.6479 | 0.6091 | 0.7805 |
| No log | 40.1818 | 442 | 0.6165 | 0.6919 | 0.6165 | 0.7852 |
| No log | 40.3636 | 444 | 0.6207 | 0.6919 | 0.6207 | 0.7878 |
| No log | 40.5455 | 446 | 0.6106 | 0.6778 | 0.6106 | 0.7814 |
| No log | 40.7273 | 448 | 0.6063 | 0.6507 | 0.6063 | 0.7787 |
| No log | 40.9091 | 450 | 0.6163 | 0.6296 | 0.6163 | 0.7851 |
| No log | 41.0909 | 452 | 0.6173 | 0.6296 | 0.6173 | 0.7857 |
| No log | 41.2727 | 454 | 0.6113 | 0.6681 | 0.6113 | 0.7818 |
| No log | 41.4545 | 456 | 0.5992 | 0.6737 | 0.5992 | 0.7741 |
| No log | 41.6364 | 458 | 0.6015 | 0.6884 | 0.6015 | 0.7755 |
| No log | 41.8182 | 460 | 0.6075 | 0.6214 | 0.6075 | 0.7794 |
| No log | 42.0 | 462 | 0.6142 | 0.5926 | 0.6142 | 0.7837 |
| No log | 42.1818 | 464 | 0.6085 | 0.6042 | 0.6085 | 0.7801 |
| No log | 42.3636 | 466 | 0.6072 | 0.6317 | 0.6072 | 0.7792 |
| No log | 42.5455 | 468 | 0.6059 | 0.6317 | 0.6059 | 0.7784 |
| No log | 42.7273 | 470 | 0.6061 | 0.5783 | 0.6061 | 0.7785 |
| No log | 42.9091 | 472 | 0.6108 | 0.5568 | 0.6108 | 0.7815 |
| No log | 43.0909 | 474 | 0.6136 | 0.5568 | 0.6136 | 0.7833 |
| No log | 43.2727 | 476 | 0.6055 | 0.5783 | 0.6055 | 0.7781 |
| No log | 43.4545 | 478 | 0.5946 | 0.6207 | 0.5946 | 0.7711 |
| No log | 43.6364 | 480 | 0.6004 | 0.6054 | 0.6004 | 0.7749 |
| No log | 43.8182 | 482 | 0.6074 | 0.5949 | 0.6074 | 0.7793 |
| No log | 44.0 | 484 | 0.6009 | 0.6370 | 0.6009 | 0.7752 |
| No log | 44.1818 | 486 | 0.5920 | 0.6262 | 0.5920 | 0.7694 |
| No log | 44.3636 | 488 | 0.5880 | 0.6370 | 0.5880 | 0.7668 |
| No log | 44.5455 | 490 | 0.5920 | 0.6370 | 0.5920 | 0.7694 |
| No log | 44.7273 | 492 | 0.5885 | 0.6370 | 0.5885 | 0.7672 |
| No log | 44.9091 | 494 | 0.5838 | 0.6658 | 0.5838 | 0.7641 |
| No log | 45.0909 | 496 | 0.5823 | 0.6452 | 0.5823 | 0.7631 |
| No log | 45.2727 | 498 | 0.5816 | 0.6690 | 0.5816 | 0.7626 |
| 0.1913 | 45.4545 | 500 | 0.5889 | 0.6715 | 0.5889 | 0.7674 |
| 0.1913 | 45.6364 | 502 | 0.5992 | 0.5949 | 0.5992 | 0.7741 |
| 0.1913 | 45.8182 | 504 | 0.6115 | 0.5949 | 0.6115 | 0.7820 |
| 0.1913 | 46.0 | 506 | 0.6233 | 0.5823 | 0.6233 | 0.7895 |
| 0.1913 | 46.1818 | 508 | 0.6415 | 0.5937 | 0.6415 | 0.8010 |
| 0.1913 | 46.3636 | 510 | 0.6352 | 0.5361 | 0.6352 | 0.7970 |
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_usingALLEssays_FineTuningAraBERT_run2_AugV5_k3_task5_organization
Base model
aubmindlab/bert-base-arabertv02