Instructions to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k9_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k9_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k9_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k9_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k9_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits8_usingALLEssays_FineTuningAraBERT_run2_AugV5_k9_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: 0.7154
- Qwk: 0.6810
- Mse: 0.7154
- Rmse: 0.8458
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 | 0.0444 | 2 | 5.3696 | -0.0359 | 5.3696 | 2.3172 |
| No log | 0.0889 | 4 | 3.2209 | 0.0784 | 3.2209 | 1.7947 |
| No log | 0.1333 | 6 | 2.2435 | -0.0611 | 2.2435 | 1.4978 |
| No log | 0.1778 | 8 | 1.6634 | 0.0221 | 1.6634 | 1.2897 |
| No log | 0.2222 | 10 | 1.2162 | 0.2199 | 1.2162 | 1.1028 |
| No log | 0.2667 | 12 | 1.2415 | 0.1693 | 1.2415 | 1.1142 |
| No log | 0.3111 | 14 | 1.3569 | 0.1507 | 1.3569 | 1.1648 |
| No log | 0.3556 | 16 | 1.4666 | 0.0519 | 1.4666 | 1.2110 |
| No log | 0.4 | 18 | 1.8664 | 0.0410 | 1.8664 | 1.3662 |
| No log | 0.4444 | 20 | 1.6103 | 0.0166 | 1.6103 | 1.2690 |
| No log | 0.4889 | 22 | 1.6096 | 0.0314 | 1.6096 | 1.2687 |
| No log | 0.5333 | 24 | 1.3214 | 0.2003 | 1.3214 | 1.1495 |
| No log | 0.5778 | 26 | 1.1771 | 0.2853 | 1.1771 | 1.0850 |
| No log | 0.6222 | 28 | 1.0364 | 0.3252 | 1.0364 | 1.0180 |
| No log | 0.6667 | 30 | 1.2435 | 0.3205 | 1.2435 | 1.1151 |
| No log | 0.7111 | 32 | 2.2234 | 0.2049 | 2.2234 | 1.4911 |
| No log | 0.7556 | 34 | 2.4899 | 0.2080 | 2.4899 | 1.5779 |
| No log | 0.8 | 36 | 1.9833 | 0.2512 | 1.9833 | 1.4083 |
| No log | 0.8444 | 38 | 1.2920 | 0.3261 | 1.2920 | 1.1367 |
| No log | 0.8889 | 40 | 0.8744 | 0.4693 | 0.8744 | 0.9351 |
| No log | 0.9333 | 42 | 0.8615 | 0.4556 | 0.8615 | 0.9282 |
| No log | 0.9778 | 44 | 1.1588 | 0.3183 | 1.1588 | 1.0765 |
| No log | 1.0222 | 46 | 1.3372 | 0.2156 | 1.3372 | 1.1564 |
| No log | 1.0667 | 48 | 1.1875 | 0.3150 | 1.1875 | 1.0897 |
| No log | 1.1111 | 50 | 0.9283 | 0.4133 | 0.9283 | 0.9635 |
| No log | 1.1556 | 52 | 0.7587 | 0.5268 | 0.7587 | 0.8711 |
| No log | 1.2 | 54 | 0.7438 | 0.5561 | 0.7438 | 0.8625 |
| No log | 1.2444 | 56 | 1.0215 | 0.4032 | 1.0215 | 1.0107 |
| No log | 1.2889 | 58 | 1.5119 | 0.2950 | 1.5119 | 1.2296 |
| No log | 1.3333 | 60 | 1.4272 | 0.3962 | 1.4272 | 1.1946 |
| No log | 1.3778 | 62 | 1.0809 | 0.4605 | 1.0809 | 1.0397 |
| No log | 1.4222 | 64 | 0.8713 | 0.5516 | 0.8713 | 0.9334 |
| No log | 1.4667 | 66 | 0.8557 | 0.6013 | 0.8557 | 0.9250 |
| No log | 1.5111 | 68 | 1.0821 | 0.5821 | 1.0821 | 1.0403 |
| No log | 1.5556 | 70 | 1.4233 | 0.4193 | 1.4233 | 1.1930 |
| No log | 1.6 | 72 | 1.4965 | 0.4374 | 1.4965 | 1.2233 |
| No log | 1.6444 | 74 | 1.0542 | 0.5597 | 1.0542 | 1.0267 |
| No log | 1.6889 | 76 | 0.7082 | 0.6842 | 0.7082 | 0.8416 |
| No log | 1.7333 | 78 | 1.0088 | 0.5005 | 1.0088 | 1.0044 |
| No log | 1.7778 | 80 | 1.1350 | 0.4250 | 1.1350 | 1.0654 |
| No log | 1.8222 | 82 | 0.8726 | 0.5762 | 0.8726 | 0.9341 |
| No log | 1.8667 | 84 | 0.7762 | 0.6411 | 0.7762 | 0.8810 |
| No log | 1.9111 | 86 | 0.9604 | 0.6141 | 0.9604 | 0.9800 |
| No log | 1.9556 | 88 | 1.0708 | 0.5783 | 1.0708 | 1.0348 |
| No log | 2.0 | 90 | 0.9300 | 0.5811 | 0.9300 | 0.9644 |
| No log | 2.0444 | 92 | 0.7581 | 0.6459 | 0.7581 | 0.8707 |
| No log | 2.0889 | 94 | 0.7518 | 0.6032 | 0.7518 | 0.8670 |
| No log | 2.1333 | 96 | 0.8357 | 0.5668 | 0.8357 | 0.9142 |
| No log | 2.1778 | 98 | 0.7701 | 0.5930 | 0.7701 | 0.8776 |
| No log | 2.2222 | 100 | 0.7185 | 0.6155 | 0.7185 | 0.8476 |
| No log | 2.2667 | 102 | 0.6707 | 0.6238 | 0.6707 | 0.8189 |
| No log | 2.3111 | 104 | 0.7092 | 0.6355 | 0.7092 | 0.8421 |
| No log | 2.3556 | 106 | 0.7982 | 0.5998 | 0.7982 | 0.8934 |
| No log | 2.4 | 108 | 0.7562 | 0.6612 | 0.7562 | 0.8696 |
| No log | 2.4444 | 110 | 0.7848 | 0.6355 | 0.7848 | 0.8859 |
| No log | 2.4889 | 112 | 0.7568 | 0.6673 | 0.7568 | 0.8700 |
| No log | 2.5333 | 114 | 0.7034 | 0.7120 | 0.7034 | 0.8387 |
| No log | 2.5778 | 116 | 0.7781 | 0.6433 | 0.7781 | 0.8821 |
| No log | 2.6222 | 118 | 0.7468 | 0.6742 | 0.7468 | 0.8642 |
| No log | 2.6667 | 120 | 0.6667 | 0.7295 | 0.6667 | 0.8165 |
| No log | 2.7111 | 122 | 0.6313 | 0.7141 | 0.6313 | 0.7945 |
| No log | 2.7556 | 124 | 0.6324 | 0.7419 | 0.6324 | 0.7952 |
| No log | 2.8 | 126 | 0.6631 | 0.7093 | 0.6631 | 0.8143 |
| No log | 2.8444 | 128 | 0.7281 | 0.6610 | 0.7281 | 0.8533 |
| No log | 2.8889 | 130 | 0.8785 | 0.6238 | 0.8785 | 0.9373 |
| No log | 2.9333 | 132 | 0.9052 | 0.5716 | 0.9052 | 0.9514 |
| No log | 2.9778 | 134 | 0.8213 | 0.6344 | 0.8213 | 0.9062 |
| No log | 3.0222 | 136 | 0.8518 | 0.6196 | 0.8518 | 0.9229 |
| No log | 3.0667 | 138 | 0.8991 | 0.6031 | 0.8991 | 0.9482 |
| No log | 3.1111 | 140 | 0.7911 | 0.6392 | 0.7911 | 0.8894 |
| No log | 3.1556 | 142 | 0.7024 | 0.6647 | 0.7024 | 0.8381 |
| No log | 3.2 | 144 | 0.6756 | 0.6805 | 0.6756 | 0.8219 |
| No log | 3.2444 | 146 | 0.7411 | 0.6013 | 0.7411 | 0.8609 |
| No log | 3.2889 | 148 | 0.9872 | 0.5584 | 0.9872 | 0.9936 |
| No log | 3.3333 | 150 | 1.2856 | 0.5047 | 1.2856 | 1.1339 |
| No log | 3.3778 | 152 | 1.1405 | 0.5276 | 1.1405 | 1.0679 |
| No log | 3.4222 | 154 | 0.7487 | 0.624 | 0.7487 | 0.8653 |
| No log | 3.4667 | 156 | 0.7301 | 0.6520 | 0.7301 | 0.8545 |
| No log | 3.5111 | 158 | 0.8439 | 0.5866 | 0.8439 | 0.9186 |
| No log | 3.5556 | 160 | 0.7574 | 0.6436 | 0.7574 | 0.8703 |
| No log | 3.6 | 162 | 0.6994 | 0.6989 | 0.6994 | 0.8363 |
| No log | 3.6444 | 164 | 0.9464 | 0.6024 | 0.9464 | 0.9728 |
| No log | 3.6889 | 166 | 1.4543 | 0.4856 | 1.4543 | 1.2059 |
| No log | 3.7333 | 168 | 1.5661 | 0.4299 | 1.5661 | 1.2514 |
| No log | 3.7778 | 170 | 1.2561 | 0.4886 | 1.2561 | 1.1208 |
| No log | 3.8222 | 172 | 0.8236 | 0.5773 | 0.8236 | 0.9075 |
| No log | 3.8667 | 174 | 0.6493 | 0.6995 | 0.6493 | 0.8058 |
| No log | 3.9111 | 176 | 0.7956 | 0.5977 | 0.7956 | 0.8919 |
| No log | 3.9556 | 178 | 0.8953 | 0.5941 | 0.8953 | 0.9462 |
| No log | 4.0 | 180 | 0.8078 | 0.6054 | 0.8078 | 0.8988 |
| No log | 4.0444 | 182 | 0.6690 | 0.6705 | 0.6690 | 0.8179 |
| No log | 4.0889 | 184 | 0.6785 | 0.6604 | 0.6785 | 0.8237 |
| No log | 4.1333 | 186 | 0.7313 | 0.6382 | 0.7313 | 0.8552 |
| No log | 4.1778 | 188 | 0.7688 | 0.5750 | 0.7688 | 0.8768 |
| No log | 4.2222 | 190 | 0.7007 | 0.6544 | 0.7007 | 0.8371 |
| No log | 4.2667 | 192 | 0.6654 | 0.6431 | 0.6654 | 0.8157 |
| No log | 4.3111 | 194 | 0.8103 | 0.5842 | 0.8103 | 0.9002 |
| No log | 4.3556 | 196 | 0.8579 | 0.5869 | 0.8579 | 0.9262 |
| No log | 4.4 | 198 | 0.7298 | 0.6056 | 0.7298 | 0.8543 |
| No log | 4.4444 | 200 | 0.6582 | 0.6648 | 0.6582 | 0.8113 |
| No log | 4.4889 | 202 | 0.7107 | 0.6129 | 0.7107 | 0.8430 |
| No log | 4.5333 | 204 | 0.8055 | 0.5815 | 0.8055 | 0.8975 |
| No log | 4.5778 | 206 | 0.7328 | 0.6064 | 0.7328 | 0.8560 |
| No log | 4.6222 | 208 | 0.6506 | 0.6678 | 0.6506 | 0.8066 |
| No log | 4.6667 | 210 | 0.6469 | 0.6970 | 0.6469 | 0.8043 |
| No log | 4.7111 | 212 | 0.6673 | 0.7407 | 0.6673 | 0.8169 |
| No log | 4.7556 | 214 | 0.6762 | 0.7237 | 0.6762 | 0.8223 |
| No log | 4.8 | 216 | 0.6628 | 0.7159 | 0.6628 | 0.8142 |
| No log | 4.8444 | 218 | 0.6428 | 0.7128 | 0.6428 | 0.8017 |
| No log | 4.8889 | 220 | 0.6960 | 0.6526 | 0.6960 | 0.8343 |
| No log | 4.9333 | 222 | 0.7284 | 0.6149 | 0.7284 | 0.8534 |
| No log | 4.9778 | 224 | 0.6932 | 0.6004 | 0.6932 | 0.8326 |
| No log | 5.0222 | 226 | 0.6555 | 0.6075 | 0.6555 | 0.8097 |
| No log | 5.0667 | 228 | 0.6491 | 0.6255 | 0.6491 | 0.8057 |
| No log | 5.1111 | 230 | 0.6372 | 0.6245 | 0.6372 | 0.7983 |
| No log | 5.1556 | 232 | 0.6780 | 0.6129 | 0.6780 | 0.8234 |
| No log | 5.2 | 234 | 0.6474 | 0.6472 | 0.6474 | 0.8046 |
| No log | 5.2444 | 236 | 0.5840 | 0.7290 | 0.5840 | 0.7642 |
| No log | 5.2889 | 238 | 0.6532 | 0.7092 | 0.6532 | 0.8082 |
| No log | 5.3333 | 240 | 0.6576 | 0.6821 | 0.6576 | 0.8109 |
| No log | 5.3778 | 242 | 0.6109 | 0.7282 | 0.6109 | 0.7816 |
| No log | 5.4222 | 244 | 0.6631 | 0.6379 | 0.6631 | 0.8143 |
| No log | 5.4667 | 246 | 0.8035 | 0.6109 | 0.8035 | 0.8964 |
| No log | 5.5111 | 248 | 0.7944 | 0.5882 | 0.7944 | 0.8913 |
| No log | 5.5556 | 250 | 0.6933 | 0.6394 | 0.6933 | 0.8327 |
| No log | 5.6 | 252 | 0.6464 | 0.6156 | 0.6464 | 0.8040 |
| No log | 5.6444 | 254 | 0.7370 | 0.5960 | 0.7370 | 0.8585 |
| No log | 5.6889 | 256 | 0.7617 | 0.5633 | 0.7617 | 0.8727 |
| No log | 5.7333 | 258 | 0.6456 | 0.6840 | 0.6456 | 0.8035 |
| No log | 5.7778 | 260 | 0.6167 | 0.6789 | 0.6167 | 0.7853 |
| No log | 5.8222 | 262 | 0.7499 | 0.6137 | 0.7499 | 0.8659 |
| No log | 5.8667 | 264 | 0.7993 | 0.6221 | 0.7993 | 0.8941 |
| No log | 5.9111 | 266 | 0.6564 | 0.6365 | 0.6564 | 0.8102 |
| No log | 5.9556 | 268 | 0.6028 | 0.7073 | 0.6028 | 0.7764 |
| No log | 6.0 | 270 | 0.7047 | 0.6741 | 0.7047 | 0.8394 |
| No log | 6.0444 | 272 | 0.6896 | 0.6704 | 0.6896 | 0.8304 |
| No log | 6.0889 | 274 | 0.6147 | 0.6868 | 0.6147 | 0.7840 |
| No log | 6.1333 | 276 | 0.6492 | 0.6796 | 0.6492 | 0.8057 |
| No log | 6.1778 | 278 | 0.7493 | 0.6339 | 0.7493 | 0.8656 |
| No log | 6.2222 | 280 | 0.7367 | 0.6538 | 0.7367 | 0.8583 |
| No log | 6.2667 | 282 | 0.6697 | 0.6704 | 0.6697 | 0.8183 |
| No log | 6.3111 | 284 | 0.6453 | 0.7134 | 0.6453 | 0.8033 |
| No log | 6.3556 | 286 | 0.6538 | 0.6769 | 0.6538 | 0.8086 |
| No log | 6.4 | 288 | 0.6389 | 0.7066 | 0.6389 | 0.7993 |
| No log | 6.4444 | 290 | 0.6292 | 0.6924 | 0.6292 | 0.7932 |
| No log | 6.4889 | 292 | 0.6964 | 0.6505 | 0.6964 | 0.8345 |
| No log | 6.5333 | 294 | 0.7746 | 0.6189 | 0.7746 | 0.8801 |
| No log | 6.5778 | 296 | 0.7559 | 0.6462 | 0.7559 | 0.8695 |
| No log | 6.6222 | 298 | 0.6702 | 0.7029 | 0.6702 | 0.8186 |
| No log | 6.6667 | 300 | 0.6253 | 0.7282 | 0.6253 | 0.7907 |
| No log | 6.7111 | 302 | 0.6160 | 0.7274 | 0.6160 | 0.7848 |
| No log | 6.7556 | 304 | 0.6025 | 0.7387 | 0.6025 | 0.7762 |
| No log | 6.8 | 306 | 0.5911 | 0.7434 | 0.5911 | 0.7688 |
| No log | 6.8444 | 308 | 0.6278 | 0.7035 | 0.6278 | 0.7923 |
| No log | 6.8889 | 310 | 0.6595 | 0.7035 | 0.6595 | 0.8121 |
| No log | 6.9333 | 312 | 0.6368 | 0.7058 | 0.6368 | 0.7980 |
| No log | 6.9778 | 314 | 0.6108 | 0.7367 | 0.6108 | 0.7815 |
| No log | 7.0222 | 316 | 0.6038 | 0.7413 | 0.6038 | 0.7771 |
| No log | 7.0667 | 318 | 0.6072 | 0.7352 | 0.6072 | 0.7793 |
| No log | 7.1111 | 320 | 0.6049 | 0.7443 | 0.6049 | 0.7777 |
| No log | 7.1556 | 322 | 0.6182 | 0.7129 | 0.6182 | 0.7863 |
| No log | 7.2 | 324 | 0.6340 | 0.6834 | 0.6340 | 0.7962 |
| No log | 7.2444 | 326 | 0.6045 | 0.7028 | 0.6045 | 0.7775 |
| No log | 7.2889 | 328 | 0.5833 | 0.7130 | 0.5833 | 0.7638 |
| No log | 7.3333 | 330 | 0.5985 | 0.6829 | 0.5985 | 0.7736 |
| No log | 7.3778 | 332 | 0.5947 | 0.7003 | 0.5947 | 0.7711 |
| No log | 7.4222 | 334 | 0.6250 | 0.7135 | 0.6250 | 0.7906 |
| No log | 7.4667 | 336 | 0.6694 | 0.6933 | 0.6694 | 0.8182 |
| No log | 7.5111 | 338 | 0.6935 | 0.7053 | 0.6935 | 0.8328 |
| No log | 7.5556 | 340 | 0.7125 | 0.7072 | 0.7125 | 0.8441 |
| No log | 7.6 | 342 | 0.6669 | 0.7053 | 0.6669 | 0.8166 |
| No log | 7.6444 | 344 | 0.6508 | 0.7055 | 0.6508 | 0.8067 |
| No log | 7.6889 | 346 | 0.6581 | 0.6935 | 0.6581 | 0.8112 |
| No log | 7.7333 | 348 | 0.6870 | 0.6603 | 0.6870 | 0.8289 |
| No log | 7.7778 | 350 | 0.6628 | 0.6953 | 0.6628 | 0.8141 |
| No log | 7.8222 | 352 | 0.6419 | 0.7004 | 0.6419 | 0.8012 |
| No log | 7.8667 | 354 | 0.6523 | 0.7113 | 0.6523 | 0.8076 |
| No log | 7.9111 | 356 | 0.6817 | 0.7209 | 0.6817 | 0.8256 |
| No log | 7.9556 | 358 | 0.6562 | 0.7197 | 0.6562 | 0.8101 |
| No log | 8.0 | 360 | 0.6346 | 0.7025 | 0.6346 | 0.7966 |
| No log | 8.0444 | 362 | 0.6476 | 0.6996 | 0.6476 | 0.8047 |
| No log | 8.0889 | 364 | 0.6791 | 0.6732 | 0.6791 | 0.8241 |
| No log | 8.1333 | 366 | 0.7240 | 0.6605 | 0.7240 | 0.8509 |
| No log | 8.1778 | 368 | 0.6734 | 0.6644 | 0.6734 | 0.8206 |
| No log | 8.2222 | 370 | 0.6399 | 0.6713 | 0.6399 | 0.7999 |
| No log | 8.2667 | 372 | 0.6304 | 0.7010 | 0.6304 | 0.7940 |
| No log | 8.3111 | 374 | 0.6153 | 0.6971 | 0.6153 | 0.7844 |
| No log | 8.3556 | 376 | 0.6193 | 0.6797 | 0.6193 | 0.7870 |
| No log | 8.4 | 378 | 0.6377 | 0.6759 | 0.6377 | 0.7986 |
| No log | 8.4444 | 380 | 0.6546 | 0.6654 | 0.6546 | 0.8091 |
| No log | 8.4889 | 382 | 0.6976 | 0.6675 | 0.6976 | 0.8352 |
| No log | 8.5333 | 384 | 0.7653 | 0.6357 | 0.7653 | 0.8748 |
| No log | 8.5778 | 386 | 0.7392 | 0.6441 | 0.7392 | 0.8598 |
| No log | 8.6222 | 388 | 0.7165 | 0.6390 | 0.7165 | 0.8465 |
| No log | 8.6667 | 390 | 0.6727 | 0.6376 | 0.6727 | 0.8202 |
| No log | 8.7111 | 392 | 0.6650 | 0.6467 | 0.6650 | 0.8155 |
| No log | 8.7556 | 394 | 0.6857 | 0.6357 | 0.6857 | 0.8281 |
| No log | 8.8 | 396 | 0.7317 | 0.6337 | 0.7317 | 0.8554 |
| No log | 8.8444 | 398 | 0.7414 | 0.6484 | 0.7414 | 0.8611 |
| No log | 8.8889 | 400 | 0.6756 | 0.6603 | 0.6756 | 0.8219 |
| No log | 8.9333 | 402 | 0.6071 | 0.7116 | 0.6071 | 0.7792 |
| No log | 8.9778 | 404 | 0.6147 | 0.7350 | 0.6147 | 0.7840 |
| No log | 9.0222 | 406 | 0.6091 | 0.7336 | 0.6091 | 0.7805 |
| No log | 9.0667 | 408 | 0.6083 | 0.7397 | 0.6083 | 0.7800 |
| No log | 9.1111 | 410 | 0.6066 | 0.7275 | 0.6066 | 0.7788 |
| No log | 9.1556 | 412 | 0.6152 | 0.7227 | 0.6152 | 0.7844 |
| No log | 9.2 | 414 | 0.6273 | 0.7211 | 0.6273 | 0.7920 |
| No log | 9.2444 | 416 | 0.6296 | 0.7211 | 0.6296 | 0.7935 |
| No log | 9.2889 | 418 | 0.6107 | 0.7329 | 0.6107 | 0.7815 |
| No log | 9.3333 | 420 | 0.6206 | 0.7181 | 0.6206 | 0.7878 |
| No log | 9.3778 | 422 | 0.6420 | 0.6820 | 0.6420 | 0.8012 |
| No log | 9.4222 | 424 | 0.6509 | 0.6871 | 0.6509 | 0.8068 |
| No log | 9.4667 | 426 | 0.6248 | 0.6921 | 0.6248 | 0.7904 |
| No log | 9.5111 | 428 | 0.5882 | 0.7450 | 0.5882 | 0.7670 |
| No log | 9.5556 | 430 | 0.6177 | 0.6952 | 0.6177 | 0.7860 |
| No log | 9.6 | 432 | 0.6285 | 0.6809 | 0.6285 | 0.7927 |
| No log | 9.6444 | 434 | 0.5954 | 0.7533 | 0.5954 | 0.7716 |
| No log | 9.6889 | 436 | 0.5793 | 0.7455 | 0.5793 | 0.7611 |
| No log | 9.7333 | 438 | 0.5859 | 0.7299 | 0.5859 | 0.7654 |
| No log | 9.7778 | 440 | 0.5855 | 0.7245 | 0.5855 | 0.7652 |
| No log | 9.8222 | 442 | 0.5820 | 0.7330 | 0.5820 | 0.7629 |
| No log | 9.8667 | 444 | 0.5988 | 0.7400 | 0.5988 | 0.7738 |
| No log | 9.9111 | 446 | 0.6021 | 0.7383 | 0.6021 | 0.7760 |
| No log | 9.9556 | 448 | 0.6064 | 0.7229 | 0.6064 | 0.7787 |
| No log | 10.0 | 450 | 0.6187 | 0.7396 | 0.6187 | 0.7865 |
| No log | 10.0444 | 452 | 0.6370 | 0.7593 | 0.6370 | 0.7981 |
| No log | 10.0889 | 454 | 0.6787 | 0.7413 | 0.6787 | 0.8238 |
| No log | 10.1333 | 456 | 0.6947 | 0.7027 | 0.6947 | 0.8335 |
| No log | 10.1778 | 458 | 0.6606 | 0.7239 | 0.6606 | 0.8128 |
| No log | 10.2222 | 460 | 0.6464 | 0.7090 | 0.6464 | 0.8040 |
| No log | 10.2667 | 462 | 0.6190 | 0.7074 | 0.6190 | 0.7868 |
| No log | 10.3111 | 464 | 0.6250 | 0.6954 | 0.6250 | 0.7906 |
| No log | 10.3556 | 466 | 0.6288 | 0.6548 | 0.6288 | 0.7930 |
| No log | 10.4 | 468 | 0.6585 | 0.6589 | 0.6585 | 0.8115 |
| No log | 10.4444 | 470 | 0.6837 | 0.6534 | 0.6837 | 0.8268 |
| No log | 10.4889 | 472 | 0.7032 | 0.6372 | 0.7032 | 0.8386 |
| No log | 10.5333 | 474 | 0.6733 | 0.6470 | 0.6733 | 0.8206 |
| No log | 10.5778 | 476 | 0.5946 | 0.7460 | 0.5946 | 0.7711 |
| No log | 10.6222 | 478 | 0.6200 | 0.7310 | 0.6200 | 0.7874 |
| No log | 10.6667 | 480 | 0.7136 | 0.6867 | 0.7136 | 0.8447 |
| No log | 10.7111 | 482 | 0.7199 | 0.6616 | 0.7199 | 0.8485 |
| No log | 10.7556 | 484 | 0.6562 | 0.6862 | 0.6562 | 0.8101 |
| No log | 10.8 | 486 | 0.6010 | 0.7358 | 0.6010 | 0.7752 |
| No log | 10.8444 | 488 | 0.6007 | 0.7292 | 0.6007 | 0.7750 |
| No log | 10.8889 | 490 | 0.6118 | 0.7412 | 0.6118 | 0.7822 |
| No log | 10.9333 | 492 | 0.6109 | 0.7164 | 0.6109 | 0.7816 |
| No log | 10.9778 | 494 | 0.6285 | 0.6928 | 0.6285 | 0.7928 |
| No log | 11.0222 | 496 | 0.7130 | 0.6563 | 0.7130 | 0.8444 |
| No log | 11.0667 | 498 | 0.7356 | 0.6765 | 0.7356 | 0.8577 |
| 0.4165 | 11.1111 | 500 | 0.6852 | 0.6882 | 0.6852 | 0.8278 |
| 0.4165 | 11.1556 | 502 | 0.6371 | 0.7032 | 0.6371 | 0.7982 |
| 0.4165 | 11.2 | 504 | 0.6078 | 0.7269 | 0.6078 | 0.7796 |
| 0.4165 | 11.2444 | 506 | 0.6067 | 0.7130 | 0.6067 | 0.7789 |
| 0.4165 | 11.2889 | 508 | 0.6502 | 0.6825 | 0.6502 | 0.8064 |
| 0.4165 | 11.3333 | 510 | 0.6813 | 0.6561 | 0.6813 | 0.8254 |
| 0.4165 | 11.3778 | 512 | 0.6876 | 0.6603 | 0.6876 | 0.8292 |
| 0.4165 | 11.4222 | 514 | 0.6213 | 0.7038 | 0.6213 | 0.7882 |
| 0.4165 | 11.4667 | 516 | 0.5909 | 0.7156 | 0.5909 | 0.7687 |
| 0.4165 | 11.5111 | 518 | 0.5876 | 0.7229 | 0.5876 | 0.7666 |
| 0.4165 | 11.5556 | 520 | 0.5967 | 0.7133 | 0.5967 | 0.7725 |
| 0.4165 | 11.6 | 522 | 0.5666 | 0.7308 | 0.5666 | 0.7527 |
| 0.4165 | 11.6444 | 524 | 0.5584 | 0.7473 | 0.5584 | 0.7473 |
| 0.4165 | 11.6889 | 526 | 0.5748 | 0.7409 | 0.5748 | 0.7581 |
| 0.4165 | 11.7333 | 528 | 0.5772 | 0.7483 | 0.5772 | 0.7597 |
| 0.4165 | 11.7778 | 530 | 0.6076 | 0.6755 | 0.6076 | 0.7795 |
| 0.4165 | 11.8222 | 532 | 0.6827 | 0.6768 | 0.6827 | 0.8263 |
| 0.4165 | 11.8667 | 534 | 0.6856 | 0.6904 | 0.6856 | 0.8280 |
| 0.4165 | 11.9111 | 536 | 0.6338 | 0.7239 | 0.6338 | 0.7961 |
| 0.4165 | 11.9556 | 538 | 0.5861 | 0.7454 | 0.5861 | 0.7655 |
| 0.4165 | 12.0 | 540 | 0.5677 | 0.7492 | 0.5677 | 0.7534 |
| 0.4165 | 12.0444 | 542 | 0.5678 | 0.7468 | 0.5678 | 0.7535 |
| 0.4165 | 12.0889 | 544 | 0.5833 | 0.7253 | 0.5833 | 0.7637 |
| 0.4165 | 12.1333 | 546 | 0.5819 | 0.7229 | 0.5819 | 0.7628 |
| 0.4165 | 12.1778 | 548 | 0.5766 | 0.7309 | 0.5766 | 0.7593 |
| 0.4165 | 12.2222 | 550 | 0.5743 | 0.7260 | 0.5743 | 0.7578 |
| 0.4165 | 12.2667 | 552 | 0.5821 | 0.7164 | 0.5821 | 0.7630 |
| 0.4165 | 12.3111 | 554 | 0.6132 | 0.6859 | 0.6132 | 0.7831 |
| 0.4165 | 12.3556 | 556 | 0.6550 | 0.6948 | 0.6550 | 0.8093 |
| 0.4165 | 12.4 | 558 | 0.6763 | 0.7037 | 0.6763 | 0.8224 |
| 0.4165 | 12.4444 | 560 | 0.6397 | 0.7068 | 0.6397 | 0.7998 |
| 0.4165 | 12.4889 | 562 | 0.6100 | 0.7062 | 0.6100 | 0.7810 |
| 0.4165 | 12.5333 | 564 | 0.5809 | 0.7220 | 0.5809 | 0.7622 |
| 0.4165 | 12.5778 | 566 | 0.5870 | 0.7308 | 0.5870 | 0.7662 |
| 0.4165 | 12.6222 | 568 | 0.5976 | 0.7217 | 0.5976 | 0.7731 |
| 0.4165 | 12.6667 | 570 | 0.6079 | 0.6973 | 0.6079 | 0.7797 |
| 0.4165 | 12.7111 | 572 | 0.6819 | 0.6775 | 0.6819 | 0.8257 |
| 0.4165 | 12.7556 | 574 | 0.7103 | 0.7015 | 0.7103 | 0.8428 |
| 0.4165 | 12.8 | 576 | 0.6758 | 0.7080 | 0.6758 | 0.8221 |
| 0.4165 | 12.8444 | 578 | 0.6081 | 0.7876 | 0.6081 | 0.7798 |
| 0.4165 | 12.8889 | 580 | 0.6127 | 0.7178 | 0.6127 | 0.7828 |
| 0.4165 | 12.9333 | 582 | 0.6883 | 0.6887 | 0.6883 | 0.8297 |
| 0.4165 | 12.9778 | 584 | 0.6730 | 0.6785 | 0.6730 | 0.8204 |
| 0.4165 | 13.0222 | 586 | 0.6018 | 0.7273 | 0.6018 | 0.7758 |
| 0.4165 | 13.0667 | 588 | 0.6080 | 0.7015 | 0.6080 | 0.7797 |
| 0.4165 | 13.1111 | 590 | 0.6562 | 0.6653 | 0.6562 | 0.8101 |
| 0.4165 | 13.1556 | 592 | 0.6914 | 0.6390 | 0.6914 | 0.8315 |
| 0.4165 | 13.2 | 594 | 0.7152 | 0.6443 | 0.7152 | 0.8457 |
| 0.4165 | 13.2444 | 596 | 0.7053 | 0.6715 | 0.7053 | 0.8398 |
| 0.4165 | 13.2889 | 598 | 0.7154 | 0.6810 | 0.7154 | 0.8458 |
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_run2_AugV5_k9_task1_organization
Base model
aubmindlab/bert-base-arabertv02