Instructions to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_task3_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_task3_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_task3_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_task3_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_task3_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_task3_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: 0.5837
- Qwk: 0.2201
- Mse: 0.5837
- Rmse: 0.7640
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0370 | 2 | 3.3236 | -0.0138 | 3.3236 | 1.8231 |
| No log | 0.0741 | 4 | 1.7206 | -0.0070 | 1.7206 | 1.3117 |
| No log | 0.1111 | 6 | 1.7602 | 0.0390 | 1.7602 | 1.3267 |
| No log | 0.1481 | 8 | 1.4686 | 0.0255 | 1.4686 | 1.2119 |
| No log | 0.1852 | 10 | 1.4755 | 0.0588 | 1.4755 | 1.2147 |
| No log | 0.2222 | 12 | 0.7117 | 0.25 | 0.7117 | 0.8436 |
| No log | 0.2593 | 14 | 0.5923 | 0.0569 | 0.5923 | 0.7696 |
| No log | 0.2963 | 16 | 0.6304 | 0.1746 | 0.6304 | 0.7940 |
| No log | 0.3333 | 18 | 0.8066 | 0.1220 | 0.8066 | 0.8981 |
| No log | 0.3704 | 20 | 1.1538 | 0.0 | 1.1538 | 1.0741 |
| No log | 0.4074 | 22 | 1.2782 | 0.0 | 1.2782 | 1.1306 |
| No log | 0.4444 | 24 | 1.1484 | 0.0 | 1.1484 | 1.0716 |
| No log | 0.4815 | 26 | 0.8712 | 0.0685 | 0.8712 | 0.9334 |
| No log | 0.5185 | 28 | 0.7955 | 0.0476 | 0.7955 | 0.8919 |
| No log | 0.5556 | 30 | 0.7765 | 0.1323 | 0.7765 | 0.8812 |
| No log | 0.5926 | 32 | 1.0732 | 0.0288 | 1.0732 | 1.0360 |
| No log | 0.6296 | 34 | 1.3565 | 0.0596 | 1.3565 | 1.1647 |
| No log | 0.6667 | 36 | 0.9177 | 0.0320 | 0.9177 | 0.9580 |
| No log | 0.7037 | 38 | 0.8130 | 0.0359 | 0.8130 | 0.9016 |
| No log | 0.7407 | 40 | 1.2175 | 0.0861 | 1.2175 | 1.1034 |
| No log | 0.7778 | 42 | 0.9376 | 0.1186 | 0.9376 | 0.9683 |
| No log | 0.8148 | 44 | 0.5635 | 0.1304 | 0.5635 | 0.7507 |
| No log | 0.8519 | 46 | 0.5598 | 0.0 | 0.5598 | 0.7482 |
| No log | 0.8889 | 48 | 0.5340 | 0.1008 | 0.5340 | 0.7307 |
| No log | 0.9259 | 50 | 0.8824 | 0.1055 | 0.8824 | 0.9393 |
| No log | 0.9630 | 52 | 1.0621 | 0.1128 | 1.0621 | 1.0306 |
| No log | 1.0 | 54 | 0.6818 | 0.2083 | 0.6818 | 0.8257 |
| No log | 1.0370 | 56 | 0.5724 | 0.1895 | 0.5724 | 0.7565 |
| No log | 1.0741 | 58 | 0.5525 | 0.1111 | 0.5525 | 0.7433 |
| No log | 1.1111 | 60 | 0.5965 | 0.1605 | 0.5965 | 0.7724 |
| No log | 1.1481 | 62 | 0.6452 | 0.1515 | 0.6452 | 0.8032 |
| No log | 1.1852 | 64 | 0.7652 | 0.0359 | 0.7652 | 0.8747 |
| No log | 1.2222 | 66 | 1.0489 | 0.1074 | 1.0489 | 1.0242 |
| No log | 1.2593 | 68 | 0.6923 | 0.1111 | 0.6923 | 0.8321 |
| No log | 1.2963 | 70 | 0.6380 | 0.0625 | 0.6380 | 0.7988 |
| No log | 1.3333 | 72 | 0.6531 | 0.0769 | 0.6531 | 0.8082 |
| No log | 1.3704 | 74 | 0.5804 | 0.1282 | 0.5804 | 0.7618 |
| No log | 1.4074 | 76 | 0.8963 | 0.1392 | 0.8963 | 0.9467 |
| No log | 1.4444 | 78 | 1.2497 | 0.0345 | 1.2497 | 1.1179 |
| No log | 1.4815 | 80 | 1.2711 | 0.0345 | 1.2711 | 1.1274 |
| No log | 1.5185 | 82 | 0.7487 | 0.1174 | 0.7487 | 0.8653 |
| No log | 1.5556 | 84 | 0.5625 | 0.0303 | 0.5625 | 0.7500 |
| No log | 1.5926 | 86 | 0.7315 | 0.2298 | 0.7315 | 0.8553 |
| No log | 1.6296 | 88 | 0.8664 | 0.1273 | 0.8664 | 0.9308 |
| No log | 1.6667 | 90 | 0.6282 | 0.1781 | 0.6282 | 0.7926 |
| No log | 1.7037 | 92 | 0.8518 | 0.0918 | 0.8518 | 0.9229 |
| No log | 1.7407 | 94 | 0.8183 | 0.1373 | 0.8183 | 0.9046 |
| No log | 1.7778 | 96 | 0.5777 | 0.1642 | 0.5777 | 0.7601 |
| No log | 1.8148 | 98 | 0.8053 | 0.1179 | 0.8053 | 0.8974 |
| No log | 1.8519 | 100 | 0.7755 | 0.1556 | 0.7755 | 0.8806 |
| No log | 1.8889 | 102 | 0.5483 | 0.0080 | 0.5483 | 0.7404 |
| No log | 1.9259 | 104 | 0.5456 | 0.2908 | 0.5456 | 0.7386 |
| No log | 1.9630 | 106 | 0.6321 | 0.2184 | 0.6321 | 0.7950 |
| No log | 2.0 | 108 | 0.6250 | 0.2889 | 0.6250 | 0.7906 |
| No log | 2.0370 | 110 | 0.5218 | 0.2533 | 0.5218 | 0.7224 |
| No log | 2.0741 | 112 | 0.6373 | 0.2360 | 0.6373 | 0.7983 |
| No log | 2.1111 | 114 | 0.8646 | 0.3333 | 0.8646 | 0.9299 |
| No log | 2.1481 | 116 | 0.6834 | 0.3191 | 0.6834 | 0.8267 |
| No log | 2.1852 | 118 | 0.5128 | 0.3865 | 0.5128 | 0.7161 |
| No log | 2.2222 | 120 | 0.8238 | 0.2397 | 0.8238 | 0.9076 |
| No log | 2.2593 | 122 | 0.8332 | 0.2397 | 0.8332 | 0.9128 |
| No log | 2.2963 | 124 | 0.5311 | 0.3086 | 0.5311 | 0.7287 |
| No log | 2.3333 | 126 | 0.6747 | 0.2832 | 0.6747 | 0.8214 |
| No log | 2.3704 | 128 | 0.7053 | 0.2457 | 0.7053 | 0.8398 |
| No log | 2.4074 | 130 | 0.6719 | 0.2857 | 0.6719 | 0.8197 |
| No log | 2.4444 | 132 | 0.5797 | 0.2208 | 0.5797 | 0.7614 |
| No log | 2.4815 | 134 | 0.5832 | 0.35 | 0.5832 | 0.7636 |
| No log | 2.5185 | 136 | 0.5874 | 0.2195 | 0.5874 | 0.7664 |
| No log | 2.5556 | 138 | 0.6448 | 0.2184 | 0.6448 | 0.8030 |
| No log | 2.5926 | 140 | 0.6101 | 0.0983 | 0.6101 | 0.7811 |
| No log | 2.6296 | 142 | 0.6630 | 0.2542 | 0.6630 | 0.8143 |
| No log | 2.6667 | 144 | 0.7060 | 0.2169 | 0.7060 | 0.8403 |
| No log | 2.7037 | 146 | 0.7733 | 0.2251 | 0.7733 | 0.8793 |
| No log | 2.7407 | 148 | 0.8997 | 0.1504 | 0.8997 | 0.9485 |
| No log | 2.7778 | 150 | 0.7280 | 0.2475 | 0.7280 | 0.8532 |
| No log | 2.8148 | 152 | 0.7857 | 0.2269 | 0.7857 | 0.8864 |
| No log | 2.8519 | 154 | 0.6999 | 0.2536 | 0.6999 | 0.8366 |
| No log | 2.8889 | 156 | 0.8842 | 0.2134 | 0.8842 | 0.9403 |
| No log | 2.9259 | 158 | 1.2367 | 0.1155 | 1.2367 | 1.1121 |
| No log | 2.9630 | 160 | 0.9930 | 0.1304 | 0.9930 | 0.9965 |
| No log | 3.0 | 162 | 0.7384 | 0.1753 | 0.7384 | 0.8593 |
| No log | 3.0370 | 164 | 0.6389 | 0.2787 | 0.6389 | 0.7993 |
| No log | 3.0741 | 166 | 0.6582 | 0.2787 | 0.6582 | 0.8113 |
| No log | 3.1111 | 168 | 0.7885 | 0.1683 | 0.7885 | 0.8880 |
| No log | 3.1481 | 170 | 1.1029 | 0.1304 | 1.1029 | 1.0502 |
| No log | 3.1852 | 172 | 1.0399 | 0.0977 | 1.0399 | 1.0198 |
| No log | 3.2222 | 174 | 0.8274 | 0.1402 | 0.8274 | 0.9096 |
| No log | 3.2593 | 176 | 0.8281 | 0.1402 | 0.8281 | 0.9100 |
| No log | 3.2963 | 178 | 0.9378 | 0.125 | 0.9378 | 0.9684 |
| No log | 3.3333 | 180 | 0.7593 | 0.1414 | 0.7593 | 0.8714 |
| No log | 3.3704 | 182 | 0.6320 | 0.2381 | 0.6320 | 0.7950 |
| No log | 3.4074 | 184 | 0.6891 | 0.1364 | 0.6891 | 0.8301 |
| No log | 3.4444 | 186 | 0.8337 | 0.2287 | 0.8337 | 0.9131 |
| No log | 3.4815 | 188 | 0.6927 | 0.1364 | 0.6927 | 0.8323 |
| No log | 3.5185 | 190 | 0.5992 | 0.2749 | 0.5992 | 0.7741 |
| No log | 3.5556 | 192 | 0.6119 | 0.2184 | 0.6119 | 0.7823 |
| No log | 3.5926 | 194 | 0.5878 | 0.3103 | 0.5878 | 0.7667 |
| No log | 3.6296 | 196 | 0.8986 | 0.1621 | 0.8986 | 0.9479 |
| No log | 3.6667 | 198 | 1.1176 | 0.12 | 1.1176 | 1.0572 |
| No log | 3.7037 | 200 | 0.9107 | 0.1939 | 0.9107 | 0.9543 |
| No log | 3.7407 | 202 | 0.5640 | 0.3898 | 0.5640 | 0.7510 |
| No log | 3.7778 | 204 | 0.7869 | 0.2661 | 0.7869 | 0.8871 |
| No log | 3.8148 | 206 | 0.8894 | 0.2275 | 0.8894 | 0.9431 |
| No log | 3.8519 | 208 | 0.6358 | 0.2670 | 0.6358 | 0.7974 |
| No log | 3.8889 | 210 | 0.5509 | 0.2471 | 0.5509 | 0.7422 |
| No log | 3.9259 | 212 | 0.7413 | 0.2000 | 0.7413 | 0.8610 |
| No log | 3.9630 | 214 | 0.7747 | 0.2381 | 0.7747 | 0.8802 |
| No log | 4.0 | 216 | 0.6718 | 0.2000 | 0.6718 | 0.8196 |
| No log | 4.0370 | 218 | 0.5243 | 0.2883 | 0.5243 | 0.7241 |
| No log | 4.0741 | 220 | 0.5325 | 0.2795 | 0.5325 | 0.7297 |
| No log | 4.1111 | 222 | 0.5183 | 0.2795 | 0.5183 | 0.7199 |
| No log | 4.1481 | 224 | 0.5354 | 0.2208 | 0.5354 | 0.7317 |
| No log | 4.1852 | 226 | 0.7606 | 0.2000 | 0.7606 | 0.8721 |
| No log | 4.2222 | 228 | 0.7984 | 0.2000 | 0.7984 | 0.8935 |
| No log | 4.2593 | 230 | 0.6229 | 0.2000 | 0.6229 | 0.7892 |
| No log | 4.2963 | 232 | 0.5349 | 0.2821 | 0.5349 | 0.7314 |
| No log | 4.3333 | 234 | 0.6848 | 0.2593 | 0.6848 | 0.8275 |
| No log | 4.3704 | 236 | 0.7282 | 0.2323 | 0.7282 | 0.8533 |
| No log | 4.4074 | 238 | 0.5807 | 0.1905 | 0.5807 | 0.7620 |
| No log | 4.4444 | 240 | 0.5724 | 0.2704 | 0.5724 | 0.7565 |
| No log | 4.4815 | 242 | 0.8737 | 0.2000 | 0.8737 | 0.9347 |
| No log | 4.5185 | 244 | 0.9525 | 0.1686 | 0.9525 | 0.9760 |
| No log | 4.5556 | 246 | 0.7634 | 0.1538 | 0.7634 | 0.8737 |
| No log | 4.5926 | 248 | 0.5804 | 0.3371 | 0.5804 | 0.7619 |
| No log | 4.6296 | 250 | 0.5816 | 0.3371 | 0.5816 | 0.7626 |
| No log | 4.6667 | 252 | 0.6006 | 0.2189 | 0.6006 | 0.7750 |
| No log | 4.7037 | 254 | 0.7850 | 0.1923 | 0.7850 | 0.8860 |
| No log | 4.7407 | 256 | 0.9741 | 0.1686 | 0.9741 | 0.9870 |
| No log | 4.7778 | 258 | 0.9338 | 0.2000 | 0.9338 | 0.9663 |
| No log | 4.8148 | 260 | 0.7718 | 0.1917 | 0.7718 | 0.8785 |
| No log | 4.8519 | 262 | 0.5977 | 0.2644 | 0.5977 | 0.7731 |
| No log | 4.8889 | 264 | 0.5901 | 0.3258 | 0.5901 | 0.7682 |
| No log | 4.9259 | 266 | 0.6024 | 0.2174 | 0.6024 | 0.7762 |
| No log | 4.9630 | 268 | 0.8608 | 0.2203 | 0.8608 | 0.9278 |
| No log | 5.0 | 270 | 1.0557 | 0.1378 | 1.0557 | 1.0275 |
| No log | 5.0370 | 272 | 0.9234 | 0.1934 | 0.9234 | 0.9609 |
| No log | 5.0741 | 274 | 0.7075 | 0.3208 | 0.7075 | 0.8411 |
| No log | 5.1111 | 276 | 0.5974 | 0.2865 | 0.5974 | 0.7729 |
| No log | 5.1481 | 278 | 0.6235 | 0.3299 | 0.6235 | 0.7896 |
| No log | 5.1852 | 280 | 0.7037 | 0.3271 | 0.7037 | 0.8388 |
| No log | 5.2222 | 282 | 0.6428 | 0.3769 | 0.6428 | 0.8018 |
| No log | 5.2593 | 284 | 0.6610 | 0.4227 | 0.6610 | 0.8130 |
| No log | 5.2963 | 286 | 0.6586 | 0.3878 | 0.6586 | 0.8116 |
| No log | 5.3333 | 288 | 0.5871 | 0.3520 | 0.5871 | 0.7662 |
| No log | 5.3704 | 290 | 0.5246 | 0.2970 | 0.5246 | 0.7243 |
| No log | 5.4074 | 292 | 0.5392 | 0.3208 | 0.5392 | 0.7343 |
| No log | 5.4444 | 294 | 0.5710 | 0.2857 | 0.5710 | 0.7557 |
| No log | 5.4815 | 296 | 0.5381 | 0.2611 | 0.5381 | 0.7335 |
| No log | 5.5185 | 298 | 0.5148 | 0.2821 | 0.5148 | 0.7175 |
| No log | 5.5556 | 300 | 0.5231 | 0.2771 | 0.5231 | 0.7232 |
| No log | 5.5926 | 302 | 0.5564 | 0.2611 | 0.5564 | 0.7459 |
| No log | 5.6296 | 304 | 0.5529 | 0.2883 | 0.5529 | 0.7435 |
| No log | 5.6667 | 306 | 0.5576 | 0.2883 | 0.5576 | 0.7467 |
| No log | 5.7037 | 308 | 0.5668 | 0.2883 | 0.5668 | 0.7528 |
| No log | 5.7407 | 310 | 0.6011 | 0.2575 | 0.6011 | 0.7753 |
| No log | 5.7778 | 312 | 0.6362 | 0.2663 | 0.6362 | 0.7976 |
| No log | 5.8148 | 314 | 0.6540 | 0.2593 | 0.6540 | 0.8087 |
| No log | 5.8519 | 316 | 0.6903 | 0.2653 | 0.6903 | 0.8308 |
| No log | 5.8889 | 318 | 0.6877 | 0.2653 | 0.6877 | 0.8293 |
| No log | 5.9259 | 320 | 0.6250 | 0.3407 | 0.6250 | 0.7905 |
| No log | 5.9630 | 322 | 0.5652 | 0.3295 | 0.5652 | 0.7518 |
| No log | 6.0 | 324 | 0.5716 | 0.3258 | 0.5716 | 0.7561 |
| No log | 6.0370 | 326 | 0.5716 | 0.3258 | 0.5716 | 0.7560 |
| No log | 6.0741 | 328 | 0.6652 | 0.2990 | 0.6652 | 0.8156 |
| No log | 6.1111 | 330 | 0.7379 | 0.2653 | 0.7379 | 0.8590 |
| No log | 6.1481 | 332 | 0.7143 | 0.2670 | 0.7143 | 0.8452 |
| No log | 6.1852 | 334 | 0.6318 | 0.3103 | 0.6318 | 0.7949 |
| No log | 6.2222 | 336 | 0.5791 | 0.2749 | 0.5791 | 0.7610 |
| No log | 6.2593 | 338 | 0.5619 | 0.3023 | 0.5619 | 0.7496 |
| No log | 6.2963 | 340 | 0.5683 | 0.2914 | 0.5683 | 0.7539 |
| No log | 6.3333 | 342 | 0.5776 | 0.2857 | 0.5776 | 0.7600 |
| No log | 6.3704 | 344 | 0.6903 | 0.2273 | 0.6903 | 0.8308 |
| No log | 6.4074 | 346 | 0.7369 | 0.3118 | 0.7369 | 0.8584 |
| No log | 6.4444 | 348 | 0.6707 | 0.2273 | 0.6707 | 0.8190 |
| No log | 6.4815 | 350 | 0.6564 | 0.2273 | 0.6564 | 0.8102 |
| No log | 6.5185 | 352 | 0.6108 | 0.3136 | 0.6108 | 0.7815 |
| No log | 6.5556 | 354 | 0.5498 | 0.2857 | 0.5498 | 0.7415 |
| No log | 6.5926 | 356 | 0.5381 | 0.2857 | 0.5381 | 0.7336 |
| No log | 6.6296 | 358 | 0.5604 | 0.2970 | 0.5604 | 0.7486 |
| No log | 6.6667 | 360 | 0.6092 | 0.2281 | 0.6092 | 0.7805 |
| No log | 6.7037 | 362 | 0.6689 | 0.2809 | 0.6689 | 0.8179 |
| No log | 6.7407 | 364 | 0.6181 | 0.2381 | 0.6181 | 0.7862 |
| No log | 6.7778 | 366 | 0.5444 | 0.2970 | 0.5444 | 0.7378 |
| No log | 6.8148 | 368 | 0.5202 | 0.2883 | 0.5202 | 0.7212 |
| No log | 6.8519 | 370 | 0.5223 | 0.2911 | 0.5223 | 0.7227 |
| No log | 6.8889 | 372 | 0.5343 | 0.2970 | 0.5343 | 0.7309 |
| No log | 6.9259 | 374 | 0.5596 | 0.2471 | 0.5596 | 0.7481 |
| No log | 6.9630 | 376 | 0.5639 | 0.2471 | 0.5639 | 0.7510 |
| No log | 7.0 | 378 | 0.5319 | 0.2970 | 0.5319 | 0.7293 |
| No log | 7.0370 | 380 | 0.5298 | 0.2970 | 0.5298 | 0.7279 |
| No log | 7.0741 | 382 | 0.5612 | 0.2970 | 0.5612 | 0.7491 |
| No log | 7.1111 | 384 | 0.6240 | 0.2273 | 0.6240 | 0.7899 |
| No log | 7.1481 | 386 | 0.6246 | 0.2749 | 0.6246 | 0.7903 |
| No log | 7.1852 | 388 | 0.5890 | 0.2704 | 0.5890 | 0.7675 |
| No log | 7.2222 | 390 | 0.5450 | 0.2970 | 0.5450 | 0.7382 |
| No log | 7.2593 | 392 | 0.5197 | 0.3000 | 0.5197 | 0.7209 |
| No log | 7.2963 | 394 | 0.5219 | 0.3000 | 0.5219 | 0.7225 |
| No log | 7.3333 | 396 | 0.5387 | 0.2970 | 0.5387 | 0.7340 |
| No log | 7.3704 | 398 | 0.5688 | 0.3208 | 0.5688 | 0.7542 |
| No log | 7.4074 | 400 | 0.5991 | 0.2911 | 0.5991 | 0.7740 |
| No log | 7.4444 | 402 | 0.5857 | 0.3659 | 0.5857 | 0.7653 |
| No log | 7.4815 | 404 | 0.5429 | 0.2970 | 0.5429 | 0.7368 |
| No log | 7.5185 | 406 | 0.5315 | 0.3000 | 0.5315 | 0.7291 |
| No log | 7.5556 | 408 | 0.5505 | 0.2970 | 0.5505 | 0.7419 |
| No log | 7.5926 | 410 | 0.6185 | 0.2911 | 0.6185 | 0.7864 |
| No log | 7.6296 | 412 | 0.6646 | 0.2370 | 0.6646 | 0.8153 |
| No log | 7.6667 | 414 | 0.6491 | 0.2911 | 0.6491 | 0.8056 |
| No log | 7.7037 | 416 | 0.6205 | 0.2911 | 0.6205 | 0.7877 |
| No log | 7.7407 | 418 | 0.5676 | 0.2970 | 0.5676 | 0.7534 |
| No log | 7.7778 | 420 | 0.5556 | 0.2970 | 0.5556 | 0.7454 |
| No log | 7.8148 | 422 | 0.5682 | 0.2970 | 0.5682 | 0.7538 |
| No log | 7.8519 | 424 | 0.6254 | 0.3054 | 0.6254 | 0.7908 |
| No log | 7.8889 | 426 | 0.6801 | 0.2350 | 0.6801 | 0.8247 |
| No log | 7.9259 | 428 | 0.6938 | 0.2350 | 0.6938 | 0.8329 |
| No log | 7.9630 | 430 | 0.6566 | 0.2281 | 0.6566 | 0.8103 |
| No log | 8.0 | 432 | 0.6253 | 0.3054 | 0.6253 | 0.7907 |
| No log | 8.0370 | 434 | 0.6183 | 0.3054 | 0.6183 | 0.7863 |
| No log | 8.0741 | 436 | 0.6305 | 0.3171 | 0.6305 | 0.7940 |
| No log | 8.1111 | 438 | 0.6269 | 0.3171 | 0.6269 | 0.7917 |
| No log | 8.1481 | 440 | 0.6256 | 0.3171 | 0.6256 | 0.7910 |
| No log | 8.1852 | 442 | 0.6074 | 0.3171 | 0.6074 | 0.7794 |
| No log | 8.2222 | 444 | 0.5831 | 0.2593 | 0.5831 | 0.7636 |
| No log | 8.2593 | 446 | 0.5561 | 0.2611 | 0.5561 | 0.7457 |
| No log | 8.2963 | 448 | 0.5462 | 0.2611 | 0.5462 | 0.7391 |
| No log | 8.3333 | 450 | 0.5498 | 0.2611 | 0.5498 | 0.7415 |
| No log | 8.3704 | 452 | 0.5525 | 0.2611 | 0.5525 | 0.7433 |
| No log | 8.4074 | 454 | 0.5715 | 0.2208 | 0.5715 | 0.7560 |
| No log | 8.4444 | 456 | 0.5796 | 0.2308 | 0.5796 | 0.7613 |
| No log | 8.4815 | 458 | 0.5628 | 0.2208 | 0.5628 | 0.7502 |
| No log | 8.5185 | 460 | 0.5609 | 0.2208 | 0.5609 | 0.7489 |
| No log | 8.5556 | 462 | 0.5745 | 0.2201 | 0.5745 | 0.7580 |
| No log | 8.5926 | 464 | 0.5756 | 0.2201 | 0.5756 | 0.7587 |
| No log | 8.6296 | 466 | 0.5840 | 0.2201 | 0.5840 | 0.7642 |
| No log | 8.6667 | 468 | 0.5898 | 0.2201 | 0.5898 | 0.7680 |
| No log | 8.7037 | 470 | 0.5964 | 0.2683 | 0.5964 | 0.7723 |
| No log | 8.7407 | 472 | 0.5876 | 0.3054 | 0.5876 | 0.7666 |
| No log | 8.7778 | 474 | 0.5744 | 0.2970 | 0.5744 | 0.7579 |
| No log | 8.8148 | 476 | 0.5606 | 0.2970 | 0.5606 | 0.7488 |
| No log | 8.8519 | 478 | 0.5631 | 0.2970 | 0.5631 | 0.7504 |
| No log | 8.8889 | 480 | 0.5635 | 0.2970 | 0.5635 | 0.7507 |
| No log | 8.9259 | 482 | 0.5728 | 0.2970 | 0.5728 | 0.7568 |
| No log | 8.9630 | 484 | 0.5882 | 0.3412 | 0.5882 | 0.7669 |
| No log | 9.0 | 486 | 0.5909 | 0.3412 | 0.5909 | 0.7687 |
| No log | 9.0370 | 488 | 0.6043 | 0.3054 | 0.6043 | 0.7774 |
| No log | 9.0741 | 490 | 0.6048 | 0.3054 | 0.6048 | 0.7777 |
| No log | 9.1111 | 492 | 0.6163 | 0.2683 | 0.6163 | 0.7850 |
| No log | 9.1481 | 494 | 0.6279 | 0.2771 | 0.6279 | 0.7924 |
| No log | 9.1852 | 496 | 0.6343 | 0.2771 | 0.6343 | 0.7964 |
| No log | 9.2222 | 498 | 0.6126 | 0.2683 | 0.6126 | 0.7827 |
| 0.3871 | 9.2593 | 500 | 0.5864 | 0.2593 | 0.5864 | 0.7657 |
| 0.3871 | 9.2963 | 502 | 0.5675 | 0.2970 | 0.5675 | 0.7534 |
| 0.3871 | 9.3333 | 504 | 0.5613 | 0.2970 | 0.5613 | 0.7492 |
| 0.3871 | 9.3704 | 506 | 0.5521 | 0.2970 | 0.5521 | 0.7430 |
| 0.3871 | 9.4074 | 508 | 0.5481 | 0.2970 | 0.5481 | 0.7403 |
| 0.3871 | 9.4444 | 510 | 0.5488 | 0.2970 | 0.5488 | 0.7408 |
| 0.3871 | 9.4815 | 512 | 0.5520 | 0.2970 | 0.5520 | 0.7430 |
| 0.3871 | 9.5185 | 514 | 0.5588 | 0.2970 | 0.5588 | 0.7475 |
| 0.3871 | 9.5556 | 516 | 0.5695 | 0.2970 | 0.5695 | 0.7547 |
| 0.3871 | 9.5926 | 518 | 0.5793 | 0.2593 | 0.5793 | 0.7611 |
| 0.3871 | 9.6296 | 520 | 0.5896 | 0.2201 | 0.5896 | 0.7678 |
| 0.3871 | 9.6667 | 522 | 0.5945 | 0.2201 | 0.5945 | 0.7711 |
| 0.3871 | 9.7037 | 524 | 0.5986 | 0.2683 | 0.5986 | 0.7737 |
| 0.3871 | 9.7407 | 526 | 0.6033 | 0.2683 | 0.6033 | 0.7767 |
| 0.3871 | 9.7778 | 528 | 0.6007 | 0.2683 | 0.6007 | 0.7750 |
| 0.3871 | 9.8148 | 530 | 0.5942 | 0.2201 | 0.5942 | 0.7708 |
| 0.3871 | 9.8519 | 532 | 0.5889 | 0.2201 | 0.5889 | 0.7674 |
| 0.3871 | 9.8889 | 534 | 0.5855 | 0.2201 | 0.5855 | 0.7652 |
| 0.3871 | 9.9259 | 536 | 0.5841 | 0.2201 | 0.5841 | 0.7643 |
| 0.3871 | 9.9630 | 538 | 0.5838 | 0.2201 | 0.5838 | 0.7640 |
| 0.3871 | 10.0 | 540 | 0.5837 | 0.2201 | 0.5837 | 0.7640 |
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/ArabicNewSplits5_FineTuningAraBERT_run2_AugV5_k9_task3_organization
Base model
aubmindlab/bert-base-arabertv02