Instructions to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k20_task5_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k20_task5_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k20_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k20_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k20_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k20_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: 1.1441
- Qwk: 0.5928
- Mse: 1.1441
- Rmse: 1.0696
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 | 2.2487 | 0.0408 | 2.2487 | 1.4996 |
| No log | 0.0606 | 4 | 1.5015 | 0.1772 | 1.5015 | 1.2253 |
| No log | 0.0909 | 6 | 1.5494 | 0.0722 | 1.5494 | 1.2448 |
| No log | 0.1212 | 8 | 1.6891 | 0.1952 | 1.6891 | 1.2997 |
| No log | 0.1515 | 10 | 2.0193 | 0.2477 | 2.0193 | 1.4210 |
| No log | 0.1818 | 12 | 1.7601 | 0.1422 | 1.7601 | 1.3267 |
| No log | 0.2121 | 14 | 1.7329 | -0.0040 | 1.7329 | 1.3164 |
| No log | 0.2424 | 16 | 1.6341 | 0.1175 | 1.6341 | 1.2783 |
| No log | 0.2727 | 18 | 1.5321 | 0.0765 | 1.5321 | 1.2378 |
| No log | 0.3030 | 20 | 1.6930 | 0.0338 | 1.6930 | 1.3011 |
| No log | 0.3333 | 22 | 1.8767 | 0.1337 | 1.8767 | 1.3699 |
| No log | 0.3636 | 24 | 2.0463 | 0.2066 | 2.0463 | 1.4305 |
| No log | 0.3939 | 26 | 2.2775 | 0.1565 | 2.2775 | 1.5091 |
| No log | 0.4242 | 28 | 2.3725 | 0.1141 | 2.3725 | 1.5403 |
| No log | 0.4545 | 30 | 2.3703 | 0.1021 | 2.3703 | 1.5396 |
| No log | 0.4848 | 32 | 2.2785 | 0.1576 | 2.2785 | 1.5095 |
| No log | 0.5152 | 34 | 2.2066 | 0.1514 | 2.2066 | 1.4855 |
| No log | 0.5455 | 36 | 1.9973 | 0.0982 | 1.9973 | 1.4133 |
| No log | 0.5758 | 38 | 1.9091 | 0.0971 | 1.9091 | 1.3817 |
| No log | 0.6061 | 40 | 1.8498 | 0.0910 | 1.8498 | 1.3601 |
| No log | 0.6364 | 42 | 1.8946 | 0.0855 | 1.8946 | 1.3764 |
| No log | 0.6667 | 44 | 2.0007 | 0.2092 | 2.0007 | 1.4144 |
| No log | 0.6970 | 46 | 1.9417 | 0.2166 | 1.9417 | 1.3934 |
| No log | 0.7273 | 48 | 1.7722 | 0.1726 | 1.7722 | 1.3312 |
| No log | 0.7576 | 50 | 1.7073 | 0.1752 | 1.7073 | 1.3066 |
| No log | 0.7879 | 52 | 1.6945 | 0.2049 | 1.6945 | 1.3017 |
| No log | 0.8182 | 54 | 1.7834 | 0.2596 | 1.7834 | 1.3354 |
| No log | 0.8485 | 56 | 1.7979 | 0.2811 | 1.7979 | 1.3409 |
| No log | 0.8788 | 58 | 1.6784 | 0.2761 | 1.6784 | 1.2955 |
| No log | 0.9091 | 60 | 1.5049 | 0.2279 | 1.5049 | 1.2267 |
| No log | 0.9394 | 62 | 1.5234 | 0.2777 | 1.5234 | 1.2343 |
| No log | 0.9697 | 64 | 1.7278 | 0.3506 | 1.7278 | 1.3145 |
| No log | 1.0 | 66 | 2.2304 | 0.2879 | 2.2304 | 1.4935 |
| No log | 1.0303 | 68 | 2.8004 | 0.2564 | 2.8004 | 1.6734 |
| No log | 1.0606 | 70 | 2.8450 | 0.2612 | 2.8450 | 1.6867 |
| No log | 1.0909 | 72 | 2.5426 | 0.3147 | 2.5426 | 1.5946 |
| No log | 1.1212 | 74 | 2.2867 | 0.3359 | 2.2867 | 1.5122 |
| No log | 1.1515 | 76 | 2.0676 | 0.3422 | 2.0676 | 1.4379 |
| No log | 1.1818 | 78 | 2.0453 | 0.3272 | 2.0453 | 1.4301 |
| No log | 1.2121 | 80 | 1.8684 | 0.3513 | 1.8684 | 1.3669 |
| No log | 1.2424 | 82 | 1.8989 | 0.3460 | 1.8989 | 1.3780 |
| No log | 1.2727 | 84 | 2.1263 | 0.3418 | 2.1263 | 1.4582 |
| No log | 1.3030 | 86 | 2.1133 | 0.3403 | 2.1133 | 1.4537 |
| No log | 1.3333 | 88 | 1.9748 | 0.3860 | 1.9748 | 1.4053 |
| No log | 1.3636 | 90 | 1.8077 | 0.3999 | 1.8077 | 1.3445 |
| No log | 1.3939 | 92 | 1.8028 | 0.3953 | 1.8028 | 1.3427 |
| No log | 1.4242 | 94 | 2.0322 | 0.3920 | 2.0322 | 1.4255 |
| No log | 1.4545 | 96 | 1.9218 | 0.4016 | 1.9218 | 1.3863 |
| No log | 1.4848 | 98 | 1.6637 | 0.3855 | 1.6637 | 1.2898 |
| No log | 1.5152 | 100 | 1.5836 | 0.3851 | 1.5836 | 1.2584 |
| No log | 1.5455 | 102 | 1.4599 | 0.3879 | 1.4599 | 1.2083 |
| No log | 1.5758 | 104 | 1.3159 | 0.4497 | 1.3159 | 1.1471 |
| No log | 1.6061 | 106 | 1.4201 | 0.4149 | 1.4201 | 1.1917 |
| No log | 1.6364 | 108 | 1.8790 | 0.4159 | 1.8790 | 1.3708 |
| No log | 1.6667 | 110 | 2.4051 | 0.3975 | 2.4051 | 1.5509 |
| No log | 1.6970 | 112 | 2.3944 | 0.3836 | 2.3944 | 1.5474 |
| No log | 1.7273 | 114 | 1.9784 | 0.3769 | 1.9784 | 1.4065 |
| No log | 1.7576 | 116 | 1.6600 | 0.3119 | 1.6600 | 1.2884 |
| No log | 1.7879 | 118 | 1.6680 | 0.3731 | 1.6680 | 1.2915 |
| No log | 1.8182 | 120 | 1.7603 | 0.4226 | 1.7603 | 1.3268 |
| No log | 1.8485 | 122 | 1.9282 | 0.4415 | 1.9282 | 1.3886 |
| No log | 1.8788 | 124 | 2.0662 | 0.4141 | 2.0662 | 1.4374 |
| No log | 1.9091 | 126 | 2.0081 | 0.4336 | 2.0081 | 1.4171 |
| No log | 1.9394 | 128 | 1.9166 | 0.4336 | 1.9166 | 1.3844 |
| No log | 1.9697 | 130 | 1.7585 | 0.4456 | 1.7585 | 1.3261 |
| No log | 2.0 | 132 | 1.5544 | 0.4455 | 1.5544 | 1.2468 |
| No log | 2.0303 | 134 | 1.5880 | 0.4339 | 1.5880 | 1.2601 |
| No log | 2.0606 | 136 | 1.8103 | 0.4114 | 1.8103 | 1.3455 |
| No log | 2.0909 | 138 | 2.0531 | 0.4166 | 2.0531 | 1.4329 |
| No log | 2.1212 | 140 | 1.9396 | 0.4136 | 1.9396 | 1.3927 |
| No log | 2.1515 | 142 | 1.7440 | 0.3957 | 1.7440 | 1.3206 |
| No log | 2.1818 | 144 | 1.6611 | 0.3837 | 1.6611 | 1.2888 |
| No log | 2.2121 | 146 | 1.4803 | 0.4261 | 1.4803 | 1.2167 |
| No log | 2.2424 | 148 | 1.3856 | 0.4337 | 1.3856 | 1.1771 |
| No log | 2.2727 | 150 | 1.2832 | 0.4651 | 1.2832 | 1.1328 |
| No log | 2.3030 | 152 | 1.3672 | 0.4920 | 1.3672 | 1.1693 |
| No log | 2.3333 | 154 | 1.5687 | 0.5055 | 1.5687 | 1.2525 |
| No log | 2.3636 | 156 | 1.7653 | 0.4910 | 1.7653 | 1.3287 |
| No log | 2.3939 | 158 | 1.7751 | 0.5128 | 1.7751 | 1.3323 |
| No log | 2.4242 | 160 | 1.5706 | 0.5233 | 1.5706 | 1.2532 |
| No log | 2.4545 | 162 | 1.3085 | 0.5236 | 1.3085 | 1.1439 |
| No log | 2.4848 | 164 | 1.2557 | 0.5279 | 1.2557 | 1.1206 |
| No log | 2.5152 | 166 | 1.2528 | 0.5144 | 1.2528 | 1.1193 |
| No log | 2.5455 | 168 | 1.3457 | 0.5279 | 1.3457 | 1.1600 |
| No log | 2.5758 | 170 | 1.3837 | 0.5380 | 1.3837 | 1.1763 |
| No log | 2.6061 | 172 | 1.5218 | 0.5086 | 1.5218 | 1.2336 |
| No log | 2.6364 | 174 | 1.5016 | 0.5147 | 1.5016 | 1.2254 |
| No log | 2.6667 | 176 | 1.3094 | 0.5298 | 1.3094 | 1.1443 |
| No log | 2.6970 | 178 | 1.2529 | 0.5310 | 1.2529 | 1.1193 |
| No log | 2.7273 | 180 | 1.1937 | 0.5404 | 1.1937 | 1.0926 |
| No log | 2.7576 | 182 | 1.1511 | 0.5502 | 1.1511 | 1.0729 |
| No log | 2.7879 | 184 | 1.0999 | 0.5487 | 1.0999 | 1.0487 |
| No log | 2.8182 | 186 | 1.0776 | 0.5453 | 1.0776 | 1.0381 |
| No log | 2.8485 | 188 | 1.2467 | 0.5589 | 1.2467 | 1.1165 |
| No log | 2.8788 | 190 | 1.3316 | 0.5431 | 1.3316 | 1.1539 |
| No log | 2.9091 | 192 | 1.1881 | 0.5526 | 1.1881 | 1.0900 |
| No log | 2.9394 | 194 | 0.9662 | 0.5659 | 0.9662 | 0.9829 |
| No log | 2.9697 | 196 | 0.9080 | 0.5625 | 0.9080 | 0.9529 |
| No log | 3.0 | 198 | 0.9231 | 0.5794 | 0.9231 | 0.9608 |
| No log | 3.0303 | 200 | 1.0241 | 0.5677 | 1.0241 | 1.0120 |
| No log | 3.0606 | 202 | 1.1681 | 0.5595 | 1.1681 | 1.0808 |
| No log | 3.0909 | 204 | 1.3159 | 0.5535 | 1.3159 | 1.1471 |
| No log | 3.1212 | 206 | 1.2583 | 0.5584 | 1.2583 | 1.1217 |
| No log | 3.1515 | 208 | 1.2439 | 0.5561 | 1.2439 | 1.1153 |
| No log | 3.1818 | 210 | 1.1384 | 0.5584 | 1.1384 | 1.0669 |
| No log | 3.2121 | 212 | 1.0686 | 0.5594 | 1.0686 | 1.0338 |
| No log | 3.2424 | 214 | 1.0744 | 0.5360 | 1.0744 | 1.0365 |
| No log | 3.2727 | 216 | 1.1964 | 0.5417 | 1.1964 | 1.0938 |
| No log | 3.3030 | 218 | 1.3895 | 0.5099 | 1.3895 | 1.1788 |
| No log | 3.3333 | 220 | 1.5863 | 0.5071 | 1.5863 | 1.2595 |
| No log | 3.3636 | 222 | 1.5495 | 0.5026 | 1.5495 | 1.2448 |
| No log | 3.3939 | 224 | 1.3519 | 0.5050 | 1.3519 | 1.1627 |
| No log | 3.4242 | 226 | 1.1207 | 0.5128 | 1.1207 | 1.0586 |
| No log | 3.4545 | 228 | 1.0795 | 0.5455 | 1.0795 | 1.0390 |
| No log | 3.4848 | 230 | 1.1724 | 0.5453 | 1.1724 | 1.0828 |
| No log | 3.5152 | 232 | 1.3154 | 0.5224 | 1.3154 | 1.1469 |
| No log | 3.5455 | 234 | 1.4181 | 0.5168 | 1.4181 | 1.1908 |
| No log | 3.5758 | 236 | 1.4499 | 0.5168 | 1.4499 | 1.2041 |
| No log | 3.6061 | 238 | 1.3402 | 0.5217 | 1.3402 | 1.1577 |
| No log | 3.6364 | 240 | 1.1782 | 0.5480 | 1.1782 | 1.0855 |
| No log | 3.6667 | 242 | 1.0906 | 0.5491 | 1.0906 | 1.0443 |
| No log | 3.6970 | 244 | 1.0783 | 0.5483 | 1.0783 | 1.0384 |
| No log | 3.7273 | 246 | 1.0499 | 0.5620 | 1.0499 | 1.0247 |
| No log | 3.7576 | 248 | 1.0745 | 0.5620 | 1.0745 | 1.0366 |
| No log | 3.7879 | 250 | 1.2073 | 0.5542 | 1.2073 | 1.0988 |
| No log | 3.8182 | 252 | 1.2770 | 0.5580 | 1.2770 | 1.1300 |
| No log | 3.8485 | 254 | 1.2195 | 0.5631 | 1.2195 | 1.1043 |
| No log | 3.8788 | 256 | 1.1562 | 0.5651 | 1.1562 | 1.0753 |
| No log | 3.9091 | 258 | 0.9884 | 0.5836 | 0.9884 | 0.9942 |
| No log | 3.9394 | 260 | 0.9235 | 0.6052 | 0.9235 | 0.9610 |
| No log | 3.9697 | 262 | 0.8868 | 0.6207 | 0.8868 | 0.9417 |
| No log | 4.0 | 264 | 0.8571 | 0.6063 | 0.8571 | 0.9258 |
| No log | 4.0303 | 266 | 0.8746 | 0.6222 | 0.8746 | 0.9352 |
| No log | 4.0606 | 268 | 0.9313 | 0.6067 | 0.9313 | 0.9650 |
| No log | 4.0909 | 270 | 0.9727 | 0.6147 | 0.9727 | 0.9863 |
| No log | 4.1212 | 272 | 0.9400 | 0.6233 | 0.9400 | 0.9695 |
| No log | 4.1515 | 274 | 0.8196 | 0.6705 | 0.8196 | 0.9053 |
| No log | 4.1818 | 276 | 0.7251 | 0.6795 | 0.7251 | 0.8515 |
| No log | 4.2121 | 278 | 0.7109 | 0.6723 | 0.7109 | 0.8432 |
| No log | 4.2424 | 280 | 0.7559 | 0.6823 | 0.7559 | 0.8694 |
| No log | 4.2727 | 282 | 0.8367 | 0.6600 | 0.8367 | 0.9147 |
| No log | 4.3030 | 284 | 0.9698 | 0.6313 | 0.9698 | 0.9848 |
| No log | 4.3333 | 286 | 1.0998 | 0.6047 | 1.0998 | 1.0487 |
| No log | 4.3636 | 288 | 1.0711 | 0.6087 | 1.0711 | 1.0349 |
| No log | 4.3939 | 290 | 1.0086 | 0.6125 | 1.0086 | 1.0043 |
| No log | 4.4242 | 292 | 0.9359 | 0.5933 | 0.9359 | 0.9674 |
| No log | 4.4545 | 294 | 0.9005 | 0.5933 | 0.9005 | 0.9489 |
| No log | 4.4848 | 296 | 0.8925 | 0.5933 | 0.8925 | 0.9447 |
| No log | 4.5152 | 298 | 0.9221 | 0.6207 | 0.9221 | 0.9603 |
| No log | 4.5455 | 300 | 1.0208 | 0.5856 | 1.0208 | 1.0104 |
| No log | 4.5758 | 302 | 1.1765 | 0.5820 | 1.1765 | 1.0847 |
| No log | 4.6061 | 304 | 1.2678 | 0.5507 | 1.2678 | 1.1259 |
| No log | 4.6364 | 306 | 1.2569 | 0.5608 | 1.2569 | 1.1211 |
| No log | 4.6667 | 308 | 1.2299 | 0.5716 | 1.2299 | 1.1090 |
| No log | 4.6970 | 310 | 1.1092 | 0.5916 | 1.1092 | 1.0532 |
| No log | 4.7273 | 312 | 1.0090 | 0.5790 | 1.0090 | 1.0045 |
| No log | 4.7576 | 314 | 0.9208 | 0.5933 | 0.9208 | 0.9596 |
| No log | 4.7879 | 316 | 0.8923 | 0.6023 | 0.8923 | 0.9446 |
| No log | 4.8182 | 318 | 0.9017 | 0.5917 | 0.9017 | 0.9496 |
| No log | 4.8485 | 320 | 0.9501 | 0.5686 | 0.9501 | 0.9747 |
| No log | 4.8788 | 322 | 0.9992 | 0.5621 | 0.9992 | 0.9996 |
| No log | 4.9091 | 324 | 1.0551 | 0.5889 | 1.0551 | 1.0272 |
| No log | 4.9394 | 326 | 1.1571 | 0.5789 | 1.1571 | 1.0757 |
| No log | 4.9697 | 328 | 1.3682 | 0.5542 | 1.3682 | 1.1697 |
| No log | 5.0 | 330 | 1.5072 | 0.5729 | 1.5072 | 1.2277 |
| No log | 5.0303 | 332 | 1.4599 | 0.5556 | 1.4599 | 1.2083 |
| No log | 5.0606 | 334 | 1.2820 | 0.5595 | 1.2820 | 1.1323 |
| No log | 5.0909 | 336 | 1.0857 | 0.5704 | 1.0857 | 1.0419 |
| No log | 5.1212 | 338 | 0.9587 | 0.6226 | 0.9587 | 0.9791 |
| No log | 5.1515 | 340 | 0.9113 | 0.6398 | 0.9113 | 0.9546 |
| No log | 5.1818 | 342 | 0.9557 | 0.6132 | 0.9557 | 0.9776 |
| No log | 5.2121 | 344 | 1.0869 | 0.5799 | 1.0869 | 1.0425 |
| No log | 5.2424 | 346 | 1.2015 | 0.5756 | 1.2015 | 1.0962 |
| No log | 5.2727 | 348 | 1.3297 | 0.5508 | 1.3297 | 1.1531 |
| No log | 5.3030 | 350 | 1.3609 | 0.5566 | 1.3609 | 1.1666 |
| No log | 5.3333 | 352 | 1.3494 | 0.5560 | 1.3494 | 1.1616 |
| No log | 5.3636 | 354 | 1.2841 | 0.5508 | 1.2841 | 1.1332 |
| No log | 5.3939 | 356 | 1.1476 | 0.5810 | 1.1476 | 1.0713 |
| No log | 5.4242 | 358 | 1.0158 | 0.6112 | 1.0158 | 1.0079 |
| No log | 5.4545 | 360 | 0.9737 | 0.6238 | 0.9737 | 0.9867 |
| No log | 5.4848 | 362 | 0.9875 | 0.6108 | 0.9875 | 0.9937 |
| No log | 5.5152 | 364 | 1.0323 | 0.5937 | 1.0323 | 1.0160 |
| No log | 5.5455 | 366 | 1.0875 | 0.5861 | 1.0875 | 1.0429 |
| No log | 5.5758 | 368 | 1.1500 | 0.5912 | 1.1500 | 1.0724 |
| No log | 5.6061 | 370 | 1.2145 | 0.5767 | 1.2145 | 1.1020 |
| No log | 5.6364 | 372 | 1.2047 | 0.5767 | 1.2047 | 1.0976 |
| No log | 5.6667 | 374 | 1.2631 | 0.5598 | 1.2631 | 1.1239 |
| No log | 5.6970 | 376 | 1.2515 | 0.5748 | 1.2515 | 1.1187 |
| No log | 5.7273 | 378 | 1.1966 | 0.5901 | 1.1966 | 1.0939 |
| No log | 5.7576 | 380 | 1.1421 | 0.5873 | 1.1421 | 1.0687 |
| No log | 5.7879 | 382 | 1.0354 | 0.5923 | 1.0354 | 1.0176 |
| No log | 5.8182 | 384 | 0.9444 | 0.5933 | 0.9444 | 0.9718 |
| No log | 5.8485 | 386 | 0.9090 | 0.5841 | 0.9090 | 0.9534 |
| No log | 5.8788 | 388 | 0.9464 | 0.5828 | 0.9464 | 0.9729 |
| No log | 5.9091 | 390 | 1.0056 | 0.5988 | 1.0056 | 1.0028 |
| No log | 5.9394 | 392 | 1.0561 | 0.5847 | 1.0561 | 1.0277 |
| No log | 5.9697 | 394 | 1.1211 | 0.5842 | 1.1211 | 1.0588 |
| No log | 6.0 | 396 | 1.1409 | 0.5914 | 1.1409 | 1.0681 |
| No log | 6.0303 | 398 | 1.0839 | 0.5914 | 1.0839 | 1.0411 |
| No log | 6.0606 | 400 | 1.0285 | 0.5801 | 1.0285 | 1.0142 |
| No log | 6.0909 | 402 | 1.0494 | 0.5832 | 1.0494 | 1.0244 |
| No log | 6.1212 | 404 | 1.0481 | 0.5779 | 1.0481 | 1.0238 |
| No log | 6.1515 | 406 | 1.0767 | 0.5821 | 1.0767 | 1.0376 |
| No log | 6.1818 | 408 | 1.0773 | 0.5926 | 1.0773 | 1.0379 |
| No log | 6.2121 | 410 | 1.0437 | 0.5949 | 1.0437 | 1.0216 |
| No log | 6.2424 | 412 | 0.9803 | 0.6158 | 0.9803 | 0.9901 |
| No log | 6.2727 | 414 | 0.8890 | 0.6076 | 0.8890 | 0.9429 |
| No log | 6.3030 | 416 | 0.8635 | 0.6252 | 0.8635 | 0.9292 |
| No log | 6.3333 | 418 | 0.8857 | 0.6109 | 0.8857 | 0.9411 |
| No log | 6.3636 | 420 | 0.9430 | 0.6084 | 0.9430 | 0.9711 |
| No log | 6.3939 | 422 | 1.0407 | 0.5954 | 1.0407 | 1.0202 |
| No log | 6.4242 | 424 | 1.1202 | 0.5851 | 1.1202 | 1.0584 |
| No log | 6.4545 | 426 | 1.1803 | 0.5798 | 1.1803 | 1.0864 |
| No log | 6.4848 | 428 | 1.2461 | 0.5787 | 1.2461 | 1.1163 |
| No log | 6.5152 | 430 | 1.2257 | 0.5747 | 1.2257 | 1.1071 |
| No log | 6.5455 | 432 | 1.1494 | 0.5736 | 1.1494 | 1.0721 |
| No log | 6.5758 | 434 | 1.0688 | 0.5723 | 1.0688 | 1.0338 |
| No log | 6.6061 | 436 | 1.0392 | 0.5699 | 1.0392 | 1.0194 |
| No log | 6.6364 | 438 | 1.0648 | 0.5870 | 1.0648 | 1.0319 |
| No log | 6.6667 | 440 | 1.1055 | 0.5879 | 1.1055 | 1.0514 |
| No log | 6.6970 | 442 | 1.1750 | 0.5694 | 1.1750 | 1.0840 |
| No log | 6.7273 | 444 | 1.2345 | 0.5738 | 1.2345 | 1.1111 |
| No log | 6.7576 | 446 | 1.2394 | 0.5651 | 1.2394 | 1.1133 |
| No log | 6.7879 | 448 | 1.1956 | 0.5618 | 1.1956 | 1.0934 |
| No log | 6.8182 | 450 | 1.1801 | 0.5618 | 1.1801 | 1.0863 |
| No log | 6.8485 | 452 | 1.1894 | 0.5661 | 1.1894 | 1.0906 |
| No log | 6.8788 | 454 | 1.1917 | 0.5661 | 1.1917 | 1.0916 |
| No log | 6.9091 | 456 | 1.1559 | 0.5801 | 1.1559 | 1.0751 |
| No log | 6.9394 | 458 | 1.1120 | 0.5844 | 1.1120 | 1.0545 |
| No log | 6.9697 | 460 | 1.1136 | 0.5856 | 1.1136 | 1.0553 |
| No log | 7.0 | 462 | 1.1228 | 0.5780 | 1.1228 | 1.0596 |
| No log | 7.0303 | 464 | 1.1477 | 0.5790 | 1.1477 | 1.0713 |
| No log | 7.0606 | 466 | 1.1287 | 0.5790 | 1.1287 | 1.0624 |
| No log | 7.0909 | 468 | 1.1231 | 0.5790 | 1.1231 | 1.0598 |
| No log | 7.1212 | 470 | 1.0824 | 0.5791 | 1.0824 | 1.0404 |
| No log | 7.1515 | 472 | 1.0466 | 0.5792 | 1.0466 | 1.0231 |
| No log | 7.1818 | 474 | 1.0428 | 0.5792 | 1.0428 | 1.0212 |
| No log | 7.2121 | 476 | 1.0599 | 0.5792 | 1.0599 | 1.0295 |
| No log | 7.2424 | 478 | 1.0793 | 0.5792 | 1.0793 | 1.0389 |
| No log | 7.2727 | 480 | 1.1317 | 0.5758 | 1.1317 | 1.0638 |
| No log | 7.3030 | 482 | 1.1676 | 0.5567 | 1.1676 | 1.0806 |
| No log | 7.3333 | 484 | 1.1443 | 0.5758 | 1.1443 | 1.0697 |
| No log | 7.3636 | 486 | 1.1312 | 0.5769 | 1.1312 | 1.0636 |
| No log | 7.3939 | 488 | 1.1429 | 0.5800 | 1.1429 | 1.0691 |
| No log | 7.4242 | 490 | 1.1288 | 0.5842 | 1.1288 | 1.0625 |
| No log | 7.4545 | 492 | 1.0987 | 0.5864 | 1.0987 | 1.0482 |
| No log | 7.4848 | 494 | 1.0594 | 0.6035 | 1.0594 | 1.0292 |
| No log | 7.5152 | 496 | 1.0118 | 0.5816 | 1.0118 | 1.0059 |
| No log | 7.5455 | 498 | 0.9901 | 0.5816 | 0.9901 | 0.9950 |
| 0.4125 | 7.5758 | 500 | 1.0123 | 0.5816 | 1.0123 | 1.0061 |
| 0.4125 | 7.6061 | 502 | 1.0619 | 0.5826 | 1.0619 | 1.0305 |
| 0.4125 | 7.6364 | 504 | 1.1564 | 0.5801 | 1.1564 | 1.0754 |
| 0.4125 | 7.6667 | 506 | 1.2302 | 0.5685 | 1.2302 | 1.1091 |
| 0.4125 | 7.6970 | 508 | 1.2536 | 0.5685 | 1.2536 | 1.1196 |
| 0.4125 | 7.7273 | 510 | 1.2289 | 0.5685 | 1.2289 | 1.1086 |
| 0.4125 | 7.7576 | 512 | 1.1828 | 0.5851 | 1.1828 | 1.0875 |
| 0.4125 | 7.7879 | 514 | 1.1141 | 0.6009 | 1.1141 | 1.0555 |
| 0.4125 | 7.8182 | 516 | 1.0702 | 0.5913 | 1.0702 | 1.0345 |
| 0.4125 | 7.8485 | 518 | 1.0511 | 0.6035 | 1.0511 | 1.0253 |
| 0.4125 | 7.8788 | 520 | 1.0575 | 0.6022 | 1.0575 | 1.0284 |
| 0.4125 | 7.9091 | 522 | 1.0952 | 0.6022 | 1.0952 | 1.0465 |
| 0.4125 | 7.9394 | 524 | 1.1320 | 0.5928 | 1.1320 | 1.0640 |
| 0.4125 | 7.9697 | 526 | 1.1894 | 0.5809 | 1.1894 | 1.0906 |
| 0.4125 | 8.0 | 528 | 1.2397 | 0.5747 | 1.2397 | 1.1134 |
| 0.4125 | 8.0303 | 530 | 1.2689 | 0.5787 | 1.2689 | 1.1265 |
| 0.4125 | 8.0606 | 532 | 1.2394 | 0.5747 | 1.2394 | 1.1133 |
| 0.4125 | 8.0909 | 534 | 1.1821 | 0.5809 | 1.1821 | 1.0873 |
| 0.4125 | 8.1212 | 536 | 1.1332 | 0.5873 | 1.1332 | 1.0645 |
| 0.4125 | 8.1515 | 538 | 1.0889 | 0.5932 | 1.0889 | 1.0435 |
| 0.4125 | 8.1818 | 540 | 1.0647 | 0.6035 | 1.0647 | 1.0318 |
| 0.4125 | 8.2121 | 542 | 1.0425 | 0.5937 | 1.0425 | 1.0210 |
| 0.4125 | 8.2424 | 544 | 1.0543 | 0.5937 | 1.0543 | 1.0268 |
| 0.4125 | 8.2727 | 546 | 1.0566 | 0.5917 | 1.0566 | 1.0279 |
| 0.4125 | 8.3030 | 548 | 1.0606 | 0.5917 | 1.0606 | 1.0298 |
| 0.4125 | 8.3333 | 550 | 1.0579 | 0.5816 | 1.0579 | 1.0286 |
| 0.4125 | 8.3636 | 552 | 1.0425 | 0.5816 | 1.0425 | 1.0210 |
| 0.4125 | 8.3939 | 554 | 1.0272 | 0.5816 | 1.0272 | 1.0135 |
| 0.4125 | 8.4242 | 556 | 1.0410 | 0.5816 | 1.0410 | 1.0203 |
| 0.4125 | 8.4545 | 558 | 1.0749 | 0.5925 | 1.0749 | 1.0368 |
| 0.4125 | 8.4848 | 560 | 1.1031 | 0.5835 | 1.1031 | 1.0503 |
| 0.4125 | 8.5152 | 562 | 1.1309 | 0.5812 | 1.1309 | 1.0634 |
| 0.4125 | 8.5455 | 564 | 1.1329 | 0.5747 | 1.1329 | 1.0644 |
| 0.4125 | 8.5758 | 566 | 1.1319 | 0.5757 | 1.1319 | 1.0639 |
| 0.4125 | 8.6061 | 568 | 1.1093 | 0.5913 | 1.1093 | 1.0532 |
| 0.4125 | 8.6364 | 570 | 1.0800 | 0.5925 | 1.0800 | 1.0392 |
| 0.4125 | 8.6667 | 572 | 1.0643 | 0.5826 | 1.0643 | 1.0317 |
| 0.4125 | 8.6970 | 574 | 1.0332 | 0.5826 | 1.0332 | 1.0164 |
| 0.4125 | 8.7273 | 576 | 0.9990 | 0.5895 | 0.9990 | 0.9995 |
| 0.4125 | 8.7576 | 578 | 0.9873 | 0.5895 | 0.9873 | 0.9936 |
| 0.4125 | 8.7879 | 580 | 0.9886 | 0.5907 | 0.9886 | 0.9943 |
| 0.4125 | 8.8182 | 582 | 0.9859 | 0.5907 | 0.9859 | 0.9929 |
| 0.4125 | 8.8485 | 584 | 0.9944 | 0.5907 | 0.9944 | 0.9972 |
| 0.4125 | 8.8788 | 586 | 1.0140 | 0.5895 | 1.0140 | 1.0070 |
| 0.4125 | 8.9091 | 588 | 1.0389 | 0.6001 | 1.0389 | 1.0193 |
| 0.4125 | 8.9394 | 590 | 1.0644 | 0.6095 | 1.0644 | 1.0317 |
| 0.4125 | 8.9697 | 592 | 1.0803 | 0.6082 | 1.0803 | 1.0394 |
| 0.4125 | 9.0 | 594 | 1.1008 | 0.6082 | 1.1008 | 1.0492 |
| 0.4125 | 9.0303 | 596 | 1.0958 | 0.6082 | 1.0958 | 1.0468 |
| 0.4125 | 9.0606 | 598 | 1.0816 | 0.6095 | 1.0816 | 1.0400 |
| 0.4125 | 9.0909 | 600 | 1.0839 | 0.6082 | 1.0839 | 1.0411 |
| 0.4125 | 9.1212 | 602 | 1.0805 | 0.6095 | 1.0805 | 1.0395 |
| 0.4125 | 9.1515 | 604 | 1.0859 | 0.6095 | 1.0859 | 1.0421 |
| 0.4125 | 9.1818 | 606 | 1.0879 | 0.6001 | 1.0879 | 1.0430 |
| 0.4125 | 9.2121 | 608 | 1.0846 | 0.6001 | 1.0846 | 1.0414 |
| 0.4125 | 9.2424 | 610 | 1.0773 | 0.6001 | 1.0773 | 1.0379 |
| 0.4125 | 9.2727 | 612 | 1.0725 | 0.6001 | 1.0725 | 1.0356 |
| 0.4125 | 9.3030 | 614 | 1.0727 | 0.6001 | 1.0727 | 1.0357 |
| 0.4125 | 9.3333 | 616 | 1.0720 | 0.6001 | 1.0720 | 1.0354 |
| 0.4125 | 9.3636 | 618 | 1.0763 | 0.6001 | 1.0763 | 1.0375 |
| 0.4125 | 9.3939 | 620 | 1.0822 | 0.6001 | 1.0822 | 1.0403 |
| 0.4125 | 9.4242 | 622 | 1.0895 | 0.6001 | 1.0895 | 1.0438 |
| 0.4125 | 9.4545 | 624 | 1.0940 | 0.6082 | 1.0940 | 1.0459 |
| 0.4125 | 9.4848 | 626 | 1.0961 | 0.6082 | 1.0961 | 1.0469 |
| 0.4125 | 9.5152 | 628 | 1.0968 | 0.6082 | 1.0968 | 1.0473 |
| 0.4125 | 9.5455 | 630 | 1.0920 | 0.6095 | 1.0920 | 1.0450 |
| 0.4125 | 9.5758 | 632 | 1.0881 | 0.6095 | 1.0881 | 1.0431 |
| 0.4125 | 9.6061 | 634 | 1.0848 | 0.6095 | 1.0848 | 1.0415 |
| 0.4125 | 9.6364 | 636 | 1.0868 | 0.6095 | 1.0868 | 1.0425 |
| 0.4125 | 9.6667 | 638 | 1.0936 | 0.6095 | 1.0936 | 1.0457 |
| 0.4125 | 9.6970 | 640 | 1.1009 | 0.6082 | 1.1009 | 1.0493 |
| 0.4125 | 9.7273 | 642 | 1.1078 | 0.6082 | 1.1078 | 1.0525 |
| 0.4125 | 9.7576 | 644 | 1.1148 | 0.5994 | 1.1148 | 1.0558 |
| 0.4125 | 9.7879 | 646 | 1.1224 | 0.5994 | 1.1224 | 1.0594 |
| 0.4125 | 9.8182 | 648 | 1.1310 | 0.5994 | 1.1310 | 1.0635 |
| 0.4125 | 9.8485 | 650 | 1.1354 | 0.5940 | 1.1354 | 1.0655 |
| 0.4125 | 9.8788 | 652 | 1.1400 | 0.5940 | 1.1400 | 1.0677 |
| 0.4125 | 9.9091 | 654 | 1.1422 | 0.5940 | 1.1422 | 1.0688 |
| 0.4125 | 9.9394 | 656 | 1.1435 | 0.5940 | 1.1435 | 1.0693 |
| 0.4125 | 9.9697 | 658 | 1.1438 | 0.5928 | 1.1438 | 1.0695 |
| 0.4125 | 10.0 | 660 | 1.1441 | 0.5928 | 1.1441 | 1.0696 |
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/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run1_AugV5_k20_task5_organization
Base model
aubmindlab/bert-base-arabertv02