Instructions to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task3_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task3_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task3_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task3_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task3_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_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: 0.5697
- Qwk: 0.3797
- Mse: 0.5697
- Rmse: 0.7548
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 | 0.0303 | 2 | 3.1282 | -0.0138 | 3.1282 | 1.7687 |
| No log | 0.0606 | 4 | 1.5179 | -0.0070 | 1.5179 | 1.2320 |
| No log | 0.0909 | 6 | 1.1581 | 0.0294 | 1.1581 | 1.0762 |
| No log | 0.1212 | 8 | 0.7690 | 0.2153 | 0.7690 | 0.8769 |
| No log | 0.1515 | 10 | 0.6127 | 0.0569 | 0.6127 | 0.7828 |
| No log | 0.1818 | 12 | 0.7640 | 0.2549 | 0.7640 | 0.8741 |
| No log | 0.2121 | 14 | 0.9614 | 0.1228 | 0.9614 | 0.9805 |
| No log | 0.2424 | 16 | 0.5615 | 0.3533 | 0.5615 | 0.7493 |
| No log | 0.2727 | 18 | 0.7005 | 0.0452 | 0.7005 | 0.8370 |
| No log | 0.3030 | 20 | 0.5935 | 0.0720 | 0.5935 | 0.7704 |
| No log | 0.3333 | 22 | 0.6134 | 0.2749 | 0.6134 | 0.7832 |
| No log | 0.3636 | 24 | 0.8193 | 0.0617 | 0.8193 | 0.9052 |
| No log | 0.3939 | 26 | 0.6066 | 0.2281 | 0.6066 | 0.7788 |
| No log | 0.4242 | 28 | 0.5393 | 0.1549 | 0.5393 | 0.7344 |
| No log | 0.4545 | 30 | 0.7938 | 0.1179 | 0.7938 | 0.8910 |
| No log | 0.4848 | 32 | 0.6314 | 0.3000 | 0.6314 | 0.7946 |
| No log | 0.5152 | 34 | 0.7979 | 0.1864 | 0.7979 | 0.8933 |
| No log | 0.5455 | 36 | 1.1937 | 0.1111 | 1.1937 | 1.0926 |
| No log | 0.5758 | 38 | 0.7664 | 0.1228 | 0.7664 | 0.8755 |
| No log | 0.6061 | 40 | 0.5313 | 0.3067 | 0.5313 | 0.7289 |
| No log | 0.6364 | 42 | 0.5353 | 0.3067 | 0.5353 | 0.7317 |
| No log | 0.6667 | 44 | 0.7341 | 0.0823 | 0.7341 | 0.8568 |
| No log | 0.6970 | 46 | 1.1219 | 0.0745 | 1.1219 | 1.0592 |
| No log | 0.7273 | 48 | 1.0206 | 0.0843 | 1.0206 | 1.0103 |
| No log | 0.7576 | 50 | 0.6941 | 0.2762 | 0.6941 | 0.8331 |
| No log | 0.7879 | 52 | 0.9324 | 0.1261 | 0.9324 | 0.9656 |
| No log | 0.8182 | 54 | 1.2275 | 0.0373 | 1.2275 | 1.1079 |
| No log | 0.8485 | 56 | 0.8618 | 0.1549 | 0.8618 | 0.9283 |
| No log | 0.8788 | 58 | 0.6154 | 0.2265 | 0.6154 | 0.7845 |
| No log | 0.9091 | 60 | 1.0987 | 0.0388 | 1.0987 | 1.0482 |
| No log | 0.9394 | 62 | 1.2621 | 0.0 | 1.2621 | 1.1234 |
| No log | 0.9697 | 64 | 0.9867 | 0.1165 | 0.9867 | 0.9933 |
| No log | 1.0 | 66 | 0.5923 | 0.1565 | 0.5923 | 0.7696 |
| No log | 1.0303 | 68 | 0.5306 | 0.1304 | 0.5306 | 0.7284 |
| No log | 1.0606 | 70 | 0.5365 | 0.2000 | 0.5365 | 0.7325 |
| No log | 1.0909 | 72 | 0.5100 | 0.2318 | 0.5100 | 0.7142 |
| No log | 1.1212 | 74 | 0.7795 | 0.1515 | 0.7795 | 0.8829 |
| No log | 1.1515 | 76 | 0.6981 | 0.2222 | 0.6981 | 0.8355 |
| No log | 1.1818 | 78 | 0.5006 | 0.3810 | 0.5006 | 0.7075 |
| No log | 1.2121 | 80 | 0.5085 | 0.4884 | 0.5085 | 0.7131 |
| No log | 1.2424 | 82 | 0.5564 | 0.375 | 0.5564 | 0.7459 |
| No log | 1.2727 | 84 | 0.5296 | 0.2527 | 0.5296 | 0.7277 |
| No log | 1.3030 | 86 | 0.6702 | 0.2990 | 0.6702 | 0.8186 |
| No log | 1.3333 | 88 | 0.5286 | 0.4634 | 0.5286 | 0.7270 |
| No log | 1.3636 | 90 | 0.6010 | 0.2090 | 0.6010 | 0.7753 |
| No log | 1.3939 | 92 | 0.5319 | 0.3455 | 0.5319 | 0.7293 |
| No log | 1.4242 | 94 | 0.7165 | 0.1915 | 0.7165 | 0.8464 |
| No log | 1.4545 | 96 | 0.7903 | 0.2692 | 0.7903 | 0.8890 |
| No log | 1.4848 | 98 | 0.5126 | 0.4065 | 0.5126 | 0.7160 |
| No log | 1.5152 | 100 | 0.8190 | 0.0877 | 0.8190 | 0.9050 |
| No log | 1.5455 | 102 | 0.8824 | 0.1545 | 0.8824 | 0.9394 |
| No log | 1.5758 | 104 | 0.5548 | 0.2821 | 0.5548 | 0.7449 |
| No log | 1.6061 | 106 | 0.7997 | 0.2423 | 0.7997 | 0.8942 |
| No log | 1.6364 | 108 | 1.3572 | 0.1597 | 1.3572 | 1.1650 |
| No log | 1.6667 | 110 | 0.9255 | 0.2569 | 0.9255 | 0.9620 |
| No log | 1.6970 | 112 | 0.7554 | 0.3214 | 0.7554 | 0.8691 |
| No log | 1.7273 | 114 | 0.9807 | 0.1877 | 0.9807 | 0.9903 |
| No log | 1.7576 | 116 | 0.6875 | 0.3028 | 0.6875 | 0.8291 |
| No log | 1.7879 | 118 | 0.7323 | 0.2618 | 0.7323 | 0.8557 |
| No log | 1.8182 | 120 | 1.1558 | 0.1842 | 1.1558 | 1.0751 |
| No log | 1.8485 | 122 | 0.7921 | 0.2000 | 0.7921 | 0.8900 |
| No log | 1.8788 | 124 | 0.5052 | 0.3711 | 0.5052 | 0.7108 |
| No log | 1.9091 | 126 | 0.5777 | 0.2273 | 0.5777 | 0.7601 |
| No log | 1.9394 | 128 | 0.5588 | 0.2832 | 0.5588 | 0.7475 |
| No log | 1.9697 | 130 | 0.5172 | 0.2911 | 0.5172 | 0.7192 |
| No log | 2.0 | 132 | 0.5882 | 0.3103 | 0.5882 | 0.7670 |
| No log | 2.0303 | 134 | 0.6266 | 0.3073 | 0.6266 | 0.7916 |
| No log | 2.0606 | 136 | 0.7425 | 0.2965 | 0.7425 | 0.8617 |
| No log | 2.0909 | 138 | 0.6110 | 0.2637 | 0.6110 | 0.7816 |
| No log | 2.1212 | 140 | 0.6402 | 0.2780 | 0.6402 | 0.8001 |
| No log | 2.1515 | 142 | 0.7547 | 0.2356 | 0.7547 | 0.8687 |
| No log | 2.1818 | 144 | 1.5361 | 0.1406 | 1.5361 | 1.2394 |
| No log | 2.2121 | 146 | 1.4277 | 0.1676 | 1.4277 | 1.1949 |
| No log | 2.2424 | 148 | 0.6698 | 0.2074 | 0.6698 | 0.8184 |
| No log | 2.2727 | 150 | 0.5982 | 0.3402 | 0.5982 | 0.7734 |
| No log | 2.3030 | 152 | 0.5765 | 0.1913 | 0.5765 | 0.7593 |
| No log | 2.3333 | 154 | 0.7190 | 0.2850 | 0.7190 | 0.8479 |
| No log | 2.3636 | 156 | 0.8018 | 0.2323 | 0.8018 | 0.8954 |
| No log | 2.3939 | 158 | 0.6454 | 0.3333 | 0.6454 | 0.8034 |
| No log | 2.4242 | 160 | 0.5918 | 0.2174 | 0.5918 | 0.7693 |
| No log | 2.4545 | 162 | 0.5946 | 0.2527 | 0.5946 | 0.7711 |
| No log | 2.4848 | 164 | 0.6475 | 0.2239 | 0.6475 | 0.8047 |
| No log | 2.5152 | 166 | 0.6382 | 0.2850 | 0.6382 | 0.7989 |
| No log | 2.5455 | 168 | 1.0662 | 0.1709 | 1.0662 | 1.0326 |
| No log | 2.5758 | 170 | 1.2887 | 0.1262 | 1.2887 | 1.1352 |
| No log | 2.6061 | 172 | 0.8788 | 0.1441 | 0.8788 | 0.9374 |
| No log | 2.6364 | 174 | 0.6756 | 0.2637 | 0.6756 | 0.8219 |
| No log | 2.6667 | 176 | 0.6660 | 0.2637 | 0.6660 | 0.8161 |
| No log | 2.6970 | 178 | 0.6682 | 0.2941 | 0.6682 | 0.8174 |
| No log | 2.7273 | 180 | 0.6222 | 0.2746 | 0.6222 | 0.7888 |
| No log | 2.7576 | 182 | 0.5958 | 0.3371 | 0.5958 | 0.7719 |
| No log | 2.7879 | 184 | 0.6314 | 0.2766 | 0.6314 | 0.7946 |
| No log | 2.8182 | 186 | 0.7615 | 0.2239 | 0.7615 | 0.8727 |
| No log | 2.8485 | 188 | 1.3189 | 0.1166 | 1.3189 | 1.1484 |
| No log | 2.8788 | 190 | 1.3060 | 0.1166 | 1.3060 | 1.1428 |
| No log | 2.9091 | 192 | 0.7339 | 0.2245 | 0.7339 | 0.8567 |
| No log | 2.9394 | 194 | 0.5512 | 0.2609 | 0.5512 | 0.7425 |
| No log | 2.9697 | 196 | 0.5544 | 0.2609 | 0.5544 | 0.7446 |
| No log | 3.0 | 198 | 0.6195 | 0.3136 | 0.6195 | 0.7871 |
| No log | 3.0303 | 200 | 1.0231 | 0.1533 | 1.0231 | 1.0115 |
| No log | 3.0606 | 202 | 1.1716 | 0.1068 | 1.1716 | 1.0824 |
| No log | 3.0909 | 204 | 0.7438 | 0.2536 | 0.7438 | 0.8624 |
| No log | 3.1212 | 206 | 0.6881 | 0.2258 | 0.6881 | 0.8295 |
| No log | 3.1515 | 208 | 0.5877 | 0.3171 | 0.5877 | 0.7666 |
| No log | 3.1818 | 210 | 0.5424 | 0.3735 | 0.5424 | 0.7364 |
| No log | 3.2121 | 212 | 0.5624 | 0.3810 | 0.5624 | 0.7499 |
| No log | 3.2424 | 214 | 0.8414 | 0.2676 | 0.8414 | 0.9173 |
| No log | 3.2727 | 216 | 1.0456 | 0.1608 | 1.0456 | 1.0225 |
| No log | 3.3030 | 218 | 0.7847 | 0.2315 | 0.7847 | 0.8858 |
| No log | 3.3333 | 220 | 0.7538 | 0.2323 | 0.7538 | 0.8682 |
| No log | 3.3636 | 222 | 0.6303 | 0.3561 | 0.6303 | 0.7939 |
| No log | 3.3939 | 224 | 0.5371 | 0.3023 | 0.5371 | 0.7329 |
| No log | 3.4242 | 226 | 0.5556 | 0.3149 | 0.5556 | 0.7454 |
| No log | 3.4545 | 228 | 0.7147 | 0.3271 | 0.7147 | 0.8454 |
| No log | 3.4848 | 230 | 0.8363 | 0.2294 | 0.8363 | 0.9145 |
| No log | 3.5152 | 232 | 0.6350 | 0.3561 | 0.6350 | 0.7969 |
| No log | 3.5455 | 234 | 0.5292 | 0.2809 | 0.5292 | 0.7274 |
| No log | 3.5758 | 236 | 0.5325 | 0.3609 | 0.5325 | 0.7297 |
| No log | 3.6061 | 238 | 0.7309 | 0.2621 | 0.7309 | 0.8549 |
| No log | 3.6364 | 240 | 0.8146 | 0.1928 | 0.8146 | 0.9026 |
| No log | 3.6667 | 242 | 0.6924 | 0.2941 | 0.6924 | 0.8321 |
| No log | 3.6970 | 244 | 0.7617 | 0.1855 | 0.7617 | 0.8728 |
| No log | 3.7273 | 246 | 0.6483 | 0.3905 | 0.6483 | 0.8052 |
| No log | 3.7576 | 248 | 0.5481 | 0.4162 | 0.5481 | 0.7403 |
| No log | 3.7879 | 250 | 0.5464 | 0.4725 | 0.5464 | 0.7392 |
| No log | 3.8182 | 252 | 0.6601 | 0.3488 | 0.6601 | 0.8125 |
| No log | 3.8485 | 254 | 0.9570 | 0.1621 | 0.9570 | 0.9783 |
| No log | 3.8788 | 256 | 0.9715 | 0.1692 | 0.9715 | 0.9856 |
| No log | 3.9091 | 258 | 0.6485 | 0.2871 | 0.6485 | 0.8053 |
| No log | 3.9394 | 260 | 0.5254 | 0.2663 | 0.5254 | 0.7248 |
| No log | 3.9697 | 262 | 0.6378 | 0.2670 | 0.6378 | 0.7986 |
| No log | 4.0 | 264 | 0.6275 | 0.1832 | 0.6275 | 0.7921 |
| No log | 4.0303 | 266 | 0.5304 | 0.3253 | 0.5304 | 0.7283 |
| No log | 4.0606 | 268 | 0.6617 | 0.2245 | 0.6617 | 0.8134 |
| No log | 4.0909 | 270 | 1.1681 | 0.1438 | 1.1681 | 1.0808 |
| No log | 4.1212 | 272 | 1.3410 | 0.1662 | 1.3410 | 1.1580 |
| No log | 4.1515 | 274 | 1.0242 | 0.1635 | 1.0242 | 1.0121 |
| No log | 4.1818 | 276 | 0.5738 | 0.4162 | 0.5738 | 0.7575 |
| No log | 4.2121 | 278 | 0.5448 | 0.2644 | 0.5448 | 0.7381 |
| No log | 4.2424 | 280 | 0.5331 | 0.3043 | 0.5331 | 0.7301 |
| No log | 4.2727 | 282 | 0.5661 | 0.4667 | 0.5661 | 0.7524 |
| No log | 4.3030 | 284 | 0.7825 | 0.1570 | 0.7825 | 0.8846 |
| No log | 4.3333 | 286 | 0.8473 | 0.1605 | 0.8473 | 0.9205 |
| No log | 4.3636 | 288 | 0.6609 | 0.2332 | 0.6609 | 0.8130 |
| No log | 4.3939 | 290 | 0.5202 | 0.4286 | 0.5202 | 0.7212 |
| No log | 4.4242 | 292 | 0.5097 | 0.3073 | 0.5097 | 0.7140 |
| No log | 4.4545 | 294 | 0.5374 | 0.2670 | 0.5374 | 0.7331 |
| No log | 4.4848 | 296 | 0.5143 | 0.3412 | 0.5143 | 0.7171 |
| No log | 4.5152 | 298 | 0.5546 | 0.4682 | 0.5546 | 0.7447 |
| No log | 4.5455 | 300 | 0.6479 | 0.3860 | 0.6479 | 0.8050 |
| No log | 4.5758 | 302 | 0.7099 | 0.1852 | 0.7099 | 0.8426 |
| No log | 4.6061 | 304 | 0.6196 | 0.4455 | 0.6196 | 0.7871 |
| No log | 4.6364 | 306 | 0.5796 | 0.48 | 0.5796 | 0.7613 |
| No log | 4.6667 | 308 | 0.5492 | 0.4105 | 0.5492 | 0.7411 |
| No log | 4.6970 | 310 | 0.5623 | 0.3913 | 0.5623 | 0.7499 |
| No log | 4.7273 | 312 | 0.5892 | 0.4639 | 0.5892 | 0.7676 |
| No log | 4.7576 | 314 | 0.7003 | 0.2593 | 0.7003 | 0.8368 |
| No log | 4.7879 | 316 | 0.7427 | 0.2554 | 0.7427 | 0.8618 |
| No log | 4.8182 | 318 | 0.7672 | 0.2203 | 0.7672 | 0.8759 |
| No log | 4.8485 | 320 | 0.6237 | 0.3814 | 0.6237 | 0.7898 |
| No log | 4.8788 | 322 | 0.5669 | 0.5282 | 0.5669 | 0.7529 |
| No log | 4.9091 | 324 | 0.6487 | 0.3663 | 0.6487 | 0.8054 |
| No log | 4.9394 | 326 | 0.8114 | 0.1937 | 0.8114 | 0.9008 |
| No log | 4.9697 | 328 | 0.7603 | 0.2199 | 0.7603 | 0.8719 |
| No log | 5.0 | 330 | 0.5716 | 0.4105 | 0.5716 | 0.7561 |
| No log | 5.0303 | 332 | 0.5197 | 0.4536 | 0.5197 | 0.7209 |
| No log | 5.0606 | 334 | 0.5546 | 0.4162 | 0.5546 | 0.7447 |
| No log | 5.0909 | 336 | 0.7531 | 0.1570 | 0.7531 | 0.8678 |
| No log | 5.1212 | 338 | 0.8244 | 0.1933 | 0.8244 | 0.9080 |
| No log | 5.1515 | 340 | 0.6824 | 0.2727 | 0.6824 | 0.8261 |
| No log | 5.1818 | 342 | 0.5301 | 0.4286 | 0.5301 | 0.7281 |
| No log | 5.2121 | 344 | 0.4970 | 0.4424 | 0.4970 | 0.7049 |
| No log | 5.2424 | 346 | 0.5512 | 0.3520 | 0.5512 | 0.7425 |
| No log | 5.2727 | 348 | 0.7537 | 0.1560 | 0.7537 | 0.8681 |
| No log | 5.3030 | 350 | 0.8211 | 0.1597 | 0.8211 | 0.9062 |
| No log | 5.3333 | 352 | 0.6876 | 0.2727 | 0.6876 | 0.8292 |
| No log | 5.3636 | 354 | 0.5079 | 0.4353 | 0.5079 | 0.7127 |
| No log | 5.3939 | 356 | 0.4915 | 0.3966 | 0.4915 | 0.7011 |
| No log | 5.4242 | 358 | 0.4909 | 0.4491 | 0.4909 | 0.7007 |
| No log | 5.4545 | 360 | 0.5161 | 0.4286 | 0.5161 | 0.7184 |
| No log | 5.4848 | 362 | 0.6917 | 0.3161 | 0.6917 | 0.8317 |
| No log | 5.5152 | 364 | 0.7696 | 0.1570 | 0.7696 | 0.8773 |
| No log | 5.5455 | 366 | 0.6723 | 0.3161 | 0.6723 | 0.8199 |
| No log | 5.5758 | 368 | 0.5442 | 0.3913 | 0.5442 | 0.7377 |
| No log | 5.6061 | 370 | 0.5341 | 0.4105 | 0.5341 | 0.7308 |
| No log | 5.6364 | 372 | 0.5898 | 0.3591 | 0.5898 | 0.7680 |
| No log | 5.6667 | 374 | 0.5591 | 0.4225 | 0.5591 | 0.7477 |
| No log | 5.6970 | 376 | 0.5422 | 0.3990 | 0.5422 | 0.7363 |
| No log | 5.7273 | 378 | 0.5662 | 0.3990 | 0.5662 | 0.7525 |
| No log | 5.7576 | 380 | 0.7492 | 0.2877 | 0.7492 | 0.8655 |
| No log | 5.7879 | 382 | 0.8509 | 0.2441 | 0.8509 | 0.9224 |
| No log | 5.8182 | 384 | 0.7164 | 0.2727 | 0.7164 | 0.8464 |
| No log | 5.8485 | 386 | 0.5752 | 0.36 | 0.5752 | 0.7584 |
| No log | 5.8788 | 388 | 0.5689 | 0.3535 | 0.5689 | 0.7542 |
| No log | 5.9091 | 390 | 0.5621 | 0.3535 | 0.5621 | 0.7498 |
| No log | 5.9394 | 392 | 0.6283 | 0.3535 | 0.6283 | 0.7927 |
| No log | 5.9697 | 394 | 0.8274 | 0.2459 | 0.8274 | 0.9096 |
| No log | 6.0 | 396 | 1.0253 | 0.2162 | 1.0253 | 1.0126 |
| No log | 6.0303 | 398 | 0.9569 | 0.1888 | 0.9569 | 0.9782 |
| No log | 6.0606 | 400 | 0.7078 | 0.1925 | 0.7078 | 0.8413 |
| No log | 6.0909 | 402 | 0.5675 | 0.4225 | 0.5675 | 0.7533 |
| No log | 6.1212 | 404 | 0.5063 | 0.4012 | 0.5063 | 0.7115 |
| No log | 6.1515 | 406 | 0.5096 | 0.4074 | 0.5096 | 0.7139 |
| No log | 6.1818 | 408 | 0.5564 | 0.3846 | 0.5564 | 0.7459 |
| No log | 6.2121 | 410 | 0.6576 | 0.3575 | 0.6576 | 0.8109 |
| No log | 6.2424 | 412 | 0.6699 | 0.3131 | 0.6699 | 0.8184 |
| No log | 6.2727 | 414 | 0.6871 | 0.3131 | 0.6871 | 0.8289 |
| No log | 6.3030 | 416 | 0.6052 | 0.4455 | 0.6052 | 0.7779 |
| No log | 6.3333 | 418 | 0.5026 | 0.3182 | 0.5026 | 0.7089 |
| No log | 6.3636 | 420 | 0.4967 | 0.5359 | 0.4967 | 0.7048 |
| No log | 6.3939 | 422 | 0.5026 | 0.4860 | 0.5026 | 0.7089 |
| No log | 6.4242 | 424 | 0.4964 | 0.4222 | 0.4964 | 0.7045 |
| No log | 6.4545 | 426 | 0.5765 | 0.4462 | 0.5765 | 0.7593 |
| No log | 6.4848 | 428 | 0.7286 | 0.2986 | 0.7286 | 0.8536 |
| No log | 6.5152 | 430 | 0.8138 | 0.1570 | 0.8138 | 0.9021 |
| No log | 6.5455 | 432 | 0.7412 | 0.2308 | 0.7412 | 0.8609 |
| No log | 6.5758 | 434 | 0.5621 | 0.48 | 0.5621 | 0.7497 |
| No log | 6.6061 | 436 | 0.4877 | 0.3898 | 0.4877 | 0.6983 |
| No log | 6.6364 | 438 | 0.5013 | 0.4043 | 0.5013 | 0.7080 |
| No log | 6.6667 | 440 | 0.4842 | 0.4682 | 0.4842 | 0.6959 |
| No log | 6.6970 | 442 | 0.4795 | 0.4091 | 0.4795 | 0.6924 |
| No log | 6.7273 | 444 | 0.5683 | 0.3548 | 0.5683 | 0.7539 |
| No log | 6.7576 | 446 | 0.6299 | 0.3617 | 0.6299 | 0.7937 |
| No log | 6.7879 | 448 | 0.6277 | 0.3617 | 0.6277 | 0.7923 |
| No log | 6.8182 | 450 | 0.5463 | 0.3520 | 0.5463 | 0.7391 |
| No log | 6.8485 | 452 | 0.4965 | 0.4286 | 0.4965 | 0.7047 |
| No log | 6.8788 | 454 | 0.4688 | 0.4286 | 0.4688 | 0.6847 |
| No log | 6.9091 | 456 | 0.4699 | 0.4146 | 0.4699 | 0.6855 |
| No log | 6.9394 | 458 | 0.4787 | 0.4286 | 0.4787 | 0.6918 |
| No log | 6.9697 | 460 | 0.5473 | 0.3846 | 0.5473 | 0.7398 |
| No log | 7.0 | 462 | 0.6435 | 0.3118 | 0.6435 | 0.8022 |
| No log | 7.0303 | 464 | 0.7013 | 0.2227 | 0.7013 | 0.8374 |
| No log | 7.0606 | 466 | 0.6665 | 0.2965 | 0.6665 | 0.8164 |
| No log | 7.0909 | 468 | 0.6008 | 0.3797 | 0.6008 | 0.7751 |
| No log | 7.1212 | 470 | 0.5347 | 0.4220 | 0.5347 | 0.7312 |
| No log | 7.1515 | 472 | 0.5210 | 0.4152 | 0.5210 | 0.7218 |
| No log | 7.1818 | 474 | 0.5475 | 0.3898 | 0.5475 | 0.7399 |
| No log | 7.2121 | 476 | 0.6314 | 0.3043 | 0.6314 | 0.7946 |
| No log | 7.2424 | 478 | 0.6857 | 0.2549 | 0.6857 | 0.8281 |
| No log | 7.2727 | 480 | 0.7559 | 0.1493 | 0.7559 | 0.8694 |
| No log | 7.3030 | 482 | 0.7298 | 0.1481 | 0.7298 | 0.8543 |
| No log | 7.3333 | 484 | 0.6777 | 0.2653 | 0.6777 | 0.8232 |
| No log | 7.3636 | 486 | 0.5869 | 0.3797 | 0.5869 | 0.7661 |
| No log | 7.3939 | 488 | 0.5212 | 0.4286 | 0.5212 | 0.7219 |
| No log | 7.4242 | 490 | 0.5038 | 0.4217 | 0.5038 | 0.7098 |
| No log | 7.4545 | 492 | 0.5038 | 0.4217 | 0.5038 | 0.7098 |
| No log | 7.4848 | 494 | 0.5231 | 0.4286 | 0.5231 | 0.7233 |
| No log | 7.5152 | 496 | 0.5677 | 0.3797 | 0.5677 | 0.7535 |
| No log | 7.5455 | 498 | 0.5670 | 0.3797 | 0.5670 | 0.7530 |
| 0.4324 | 7.5758 | 500 | 0.5412 | 0.3488 | 0.5412 | 0.7357 |
| 0.4324 | 7.6061 | 502 | 0.5096 | 0.4286 | 0.5096 | 0.7139 |
| 0.4324 | 7.6364 | 504 | 0.5031 | 0.4286 | 0.5031 | 0.7093 |
| 0.4324 | 7.6667 | 506 | 0.5128 | 0.4286 | 0.5128 | 0.7161 |
| 0.4324 | 7.6970 | 508 | 0.5397 | 0.3829 | 0.5397 | 0.7346 |
| 0.4324 | 7.7273 | 510 | 0.5524 | 0.3520 | 0.5524 | 0.7432 |
| 0.4324 | 7.7576 | 512 | 0.5224 | 0.4286 | 0.5224 | 0.7228 |
| 0.4324 | 7.7879 | 514 | 0.4937 | 0.4286 | 0.4937 | 0.7026 |
| 0.4324 | 7.8182 | 516 | 0.4968 | 0.4286 | 0.4968 | 0.7049 |
| 0.4324 | 7.8485 | 518 | 0.5190 | 0.3757 | 0.5190 | 0.7204 |
| 0.4324 | 7.8788 | 520 | 0.5655 | 0.3990 | 0.5655 | 0.7520 |
| 0.4324 | 7.9091 | 522 | 0.6144 | 0.4167 | 0.6144 | 0.7838 |
| 0.4324 | 7.9394 | 524 | 0.6743 | 0.3433 | 0.6743 | 0.8211 |
| 0.4324 | 7.9697 | 526 | 0.6841 | 0.3623 | 0.6841 | 0.8271 |
| 0.4324 | 8.0 | 528 | 0.6436 | 0.3623 | 0.6436 | 0.8023 |
| 0.4324 | 8.0303 | 530 | 0.5727 | 0.3990 | 0.5727 | 0.7567 |
| 0.4324 | 8.0606 | 532 | 0.5549 | 0.3617 | 0.5549 | 0.7449 |
| 0.4324 | 8.0909 | 534 | 0.5707 | 0.3990 | 0.5707 | 0.7555 |
| 0.4324 | 8.1212 | 536 | 0.6012 | 0.4105 | 0.6012 | 0.7754 |
| 0.4324 | 8.1515 | 538 | 0.6428 | 0.4059 | 0.6428 | 0.8017 |
| 0.4324 | 8.1818 | 540 | 0.6547 | 0.3623 | 0.6547 | 0.8091 |
| 0.4324 | 8.2121 | 542 | 0.6377 | 0.4518 | 0.6377 | 0.7986 |
| 0.4324 | 8.2424 | 544 | 0.5802 | 0.4105 | 0.5802 | 0.7617 |
| 0.4324 | 8.2727 | 546 | 0.5443 | 0.4043 | 0.5443 | 0.7378 |
| 0.4324 | 8.3030 | 548 | 0.5322 | 0.4043 | 0.5322 | 0.7295 |
| 0.4324 | 8.3333 | 550 | 0.5347 | 0.4043 | 0.5347 | 0.7313 |
| 0.4324 | 8.3636 | 552 | 0.5558 | 0.3990 | 0.5558 | 0.7455 |
| 0.4324 | 8.3939 | 554 | 0.5671 | 0.3990 | 0.5671 | 0.7530 |
| 0.4324 | 8.4242 | 556 | 0.5707 | 0.3990 | 0.5707 | 0.7554 |
| 0.4324 | 8.4545 | 558 | 0.5422 | 0.3990 | 0.5422 | 0.7363 |
| 0.4324 | 8.4848 | 560 | 0.5274 | 0.4043 | 0.5274 | 0.7262 |
| 0.4324 | 8.5152 | 562 | 0.5129 | 0.3708 | 0.5129 | 0.7162 |
| 0.4324 | 8.5455 | 564 | 0.5160 | 0.3708 | 0.5160 | 0.7184 |
| 0.4324 | 8.5758 | 566 | 0.5153 | 0.3708 | 0.5153 | 0.7179 |
| 0.4324 | 8.6061 | 568 | 0.5283 | 0.4043 | 0.5283 | 0.7269 |
| 0.4324 | 8.6364 | 570 | 0.5568 | 0.4105 | 0.5568 | 0.7462 |
| 0.4324 | 8.6667 | 572 | 0.5766 | 0.3797 | 0.5766 | 0.7593 |
| 0.4324 | 8.6970 | 574 | 0.6106 | 0.4167 | 0.6106 | 0.7814 |
| 0.4324 | 8.7273 | 576 | 0.6079 | 0.4167 | 0.6079 | 0.7797 |
| 0.4324 | 8.7576 | 578 | 0.5787 | 0.4167 | 0.5787 | 0.7607 |
| 0.4324 | 8.7879 | 580 | 0.5545 | 0.3797 | 0.5545 | 0.7447 |
| 0.4324 | 8.8182 | 582 | 0.5427 | 0.3730 | 0.5427 | 0.7367 |
| 0.4324 | 8.8485 | 584 | 0.5337 | 0.3333 | 0.5337 | 0.7305 |
| 0.4324 | 8.8788 | 586 | 0.5244 | 0.3708 | 0.5244 | 0.7241 |
| 0.4324 | 8.9091 | 588 | 0.5200 | 0.3708 | 0.5200 | 0.7211 |
| 0.4324 | 8.9394 | 590 | 0.5189 | 0.3708 | 0.5189 | 0.7204 |
| 0.4324 | 8.9697 | 592 | 0.5280 | 0.3371 | 0.5280 | 0.7266 |
| 0.4324 | 9.0 | 594 | 0.5429 | 0.3684 | 0.5429 | 0.7368 |
| 0.4324 | 9.0303 | 596 | 0.5440 | 0.3684 | 0.5440 | 0.7376 |
| 0.4324 | 9.0606 | 598 | 0.5537 | 0.3797 | 0.5537 | 0.7441 |
| 0.4324 | 9.0909 | 600 | 0.5795 | 0.3797 | 0.5795 | 0.7612 |
| 0.4324 | 9.1212 | 602 | 0.6315 | 0.4167 | 0.6315 | 0.7947 |
| 0.4324 | 9.1515 | 604 | 0.6855 | 0.2621 | 0.6855 | 0.8280 |
| 0.4324 | 9.1818 | 606 | 0.7037 | 0.2621 | 0.7037 | 0.8389 |
| 0.4324 | 9.2121 | 608 | 0.6886 | 0.2621 | 0.6886 | 0.8298 |
| 0.4324 | 9.2424 | 610 | 0.6514 | 0.4059 | 0.6514 | 0.8071 |
| 0.4324 | 9.2727 | 612 | 0.6047 | 0.3797 | 0.6047 | 0.7777 |
| 0.4324 | 9.3030 | 614 | 0.5606 | 0.3797 | 0.5606 | 0.7487 |
| 0.4324 | 9.3333 | 616 | 0.5336 | 0.3730 | 0.5336 | 0.7305 |
| 0.4324 | 9.3636 | 618 | 0.5126 | 0.3757 | 0.5126 | 0.7160 |
| 0.4324 | 9.3939 | 620 | 0.5048 | 0.3757 | 0.5048 | 0.7105 |
| 0.4324 | 9.4242 | 622 | 0.5012 | 0.3757 | 0.5012 | 0.7080 |
| 0.4324 | 9.4545 | 624 | 0.5030 | 0.3757 | 0.5030 | 0.7092 |
| 0.4324 | 9.4848 | 626 | 0.5107 | 0.3757 | 0.5107 | 0.7146 |
| 0.4324 | 9.5152 | 628 | 0.5187 | 0.3661 | 0.5187 | 0.7202 |
| 0.4324 | 9.5455 | 630 | 0.5298 | 0.3661 | 0.5298 | 0.7279 |
| 0.4324 | 9.5758 | 632 | 0.5452 | 0.3990 | 0.5452 | 0.7384 |
| 0.4324 | 9.6061 | 634 | 0.5621 | 0.3797 | 0.5621 | 0.7497 |
| 0.4324 | 9.6364 | 636 | 0.5767 | 0.3797 | 0.5767 | 0.7594 |
| 0.4324 | 9.6667 | 638 | 0.5823 | 0.3797 | 0.5823 | 0.7631 |
| 0.4324 | 9.6970 | 640 | 0.5801 | 0.3797 | 0.5801 | 0.7616 |
| 0.4324 | 9.7273 | 642 | 0.5769 | 0.3797 | 0.5769 | 0.7595 |
| 0.4324 | 9.7576 | 644 | 0.5785 | 0.3797 | 0.5785 | 0.7606 |
| 0.4324 | 9.7879 | 646 | 0.5817 | 0.3797 | 0.5817 | 0.7627 |
| 0.4324 | 9.8182 | 648 | 0.5818 | 0.3797 | 0.5818 | 0.7628 |
| 0.4324 | 9.8485 | 650 | 0.5801 | 0.3797 | 0.5801 | 0.7617 |
| 0.4324 | 9.8788 | 652 | 0.5784 | 0.3797 | 0.5784 | 0.7605 |
| 0.4324 | 9.9091 | 654 | 0.5746 | 0.3797 | 0.5746 | 0.7580 |
| 0.4324 | 9.9394 | 656 | 0.5725 | 0.3797 | 0.5725 | 0.7567 |
| 0.4324 | 9.9697 | 658 | 0.5706 | 0.3797 | 0.5706 | 0.7554 |
| 0.4324 | 10.0 | 660 | 0.5697 | 0.3797 | 0.5697 | 0.7548 |
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/ArabicNewSplits6_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k13_task3_organization
Base model
aubmindlab/bert-base-arabertv02