Instructions to use MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k16_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_run3_AugV5_k16_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_run3_AugV5_k16_task5_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k16_task5_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k16_task5_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits4_WithDuplicationsForScore5_FineTuningAraBERT_run3_AugV5_k16_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: 1.0278
- Qwk: 0.6462
- Mse: 1.0278
- Rmse: 1.0138
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 | 0.0377 | 2 | 2.2489 | 0.0523 | 2.2489 | 1.4996 |
| No log | 0.0755 | 4 | 1.4613 | 0.1815 | 1.4613 | 1.2088 |
| No log | 0.1132 | 6 | 1.3887 | 0.1575 | 1.3887 | 1.1784 |
| No log | 0.1509 | 8 | 1.4162 | 0.2015 | 1.4162 | 1.1900 |
| No log | 0.1887 | 10 | 1.5631 | 0.3510 | 1.5631 | 1.2502 |
| No log | 0.2264 | 12 | 1.6306 | 0.3322 | 1.6306 | 1.2769 |
| No log | 0.2642 | 14 | 1.5097 | 0.1666 | 1.5097 | 1.2287 |
| No log | 0.3019 | 16 | 1.4299 | 0.1711 | 1.4299 | 1.1958 |
| No log | 0.3396 | 18 | 1.4116 | 0.1258 | 1.4116 | 1.1881 |
| No log | 0.3774 | 20 | 1.4241 | 0.1711 | 1.4241 | 1.1934 |
| No log | 0.4151 | 22 | 1.5291 | 0.3109 | 1.5291 | 1.2366 |
| No log | 0.4528 | 24 | 1.6232 | 0.3769 | 1.6232 | 1.2740 |
| No log | 0.4906 | 26 | 1.7126 | 0.3318 | 1.7126 | 1.3087 |
| No log | 0.5283 | 28 | 1.7142 | 0.3329 | 1.7142 | 1.3093 |
| No log | 0.5660 | 30 | 1.6618 | 0.3950 | 1.6618 | 1.2891 |
| No log | 0.6038 | 32 | 1.6418 | 0.3853 | 1.6418 | 1.2813 |
| No log | 0.6415 | 34 | 1.5816 | 0.3134 | 1.5816 | 1.2576 |
| No log | 0.6792 | 36 | 1.5473 | 0.3101 | 1.5473 | 1.2439 |
| No log | 0.7170 | 38 | 1.6520 | 0.3439 | 1.6520 | 1.2853 |
| No log | 0.7547 | 40 | 1.8531 | 0.3136 | 1.8531 | 1.3613 |
| No log | 0.7925 | 42 | 1.9959 | 0.2766 | 1.9959 | 1.4127 |
| No log | 0.8302 | 44 | 1.8526 | 0.3054 | 1.8526 | 1.3611 |
| No log | 0.8679 | 46 | 1.5661 | 0.3614 | 1.5661 | 1.2514 |
| No log | 0.9057 | 48 | 1.3676 | 0.4335 | 1.3676 | 1.1695 |
| No log | 0.9434 | 50 | 1.2637 | 0.4656 | 1.2637 | 1.1241 |
| No log | 0.9811 | 52 | 1.1884 | 0.5170 | 1.1884 | 1.0902 |
| No log | 1.0189 | 54 | 1.3761 | 0.4555 | 1.3761 | 1.1731 |
| No log | 1.0566 | 56 | 1.6777 | 0.4420 | 1.6777 | 1.2953 |
| No log | 1.0943 | 58 | 1.8271 | 0.4294 | 1.8271 | 1.3517 |
| No log | 1.1321 | 60 | 1.6343 | 0.4685 | 1.6343 | 1.2784 |
| No log | 1.1698 | 62 | 1.6704 | 0.4778 | 1.6704 | 1.2924 |
| No log | 1.2075 | 64 | 1.8927 | 0.4393 | 1.8927 | 1.3758 |
| No log | 1.2453 | 66 | 1.8382 | 0.4390 | 1.8382 | 1.3558 |
| No log | 1.2830 | 68 | 1.7684 | 0.4355 | 1.7684 | 1.3298 |
| No log | 1.3208 | 70 | 1.6071 | 0.4780 | 1.6071 | 1.2677 |
| No log | 1.3585 | 72 | 1.3052 | 0.5144 | 1.3052 | 1.1424 |
| No log | 1.3962 | 74 | 1.1610 | 0.5357 | 1.1610 | 1.0775 |
| No log | 1.4340 | 76 | 1.3522 | 0.5010 | 1.3522 | 1.1629 |
| No log | 1.4717 | 78 | 1.9281 | 0.4741 | 1.9281 | 1.3886 |
| No log | 1.5094 | 80 | 2.2271 | 0.4607 | 2.2271 | 1.4923 |
| No log | 1.5472 | 82 | 2.1050 | 0.4721 | 2.1050 | 1.4509 |
| No log | 1.5849 | 84 | 1.6810 | 0.4981 | 1.6810 | 1.2965 |
| No log | 1.6226 | 86 | 1.6228 | 0.4886 | 1.6228 | 1.2739 |
| No log | 1.6604 | 88 | 1.7947 | 0.4825 | 1.7947 | 1.3397 |
| No log | 1.6981 | 90 | 1.9372 | 0.4598 | 1.9372 | 1.3918 |
| No log | 1.7358 | 92 | 1.9144 | 0.4814 | 1.9144 | 1.3836 |
| No log | 1.7736 | 94 | 1.7176 | 0.4994 | 1.7176 | 1.3106 |
| No log | 1.8113 | 96 | 1.6005 | 0.5429 | 1.6005 | 1.2651 |
| No log | 1.8491 | 98 | 1.3956 | 0.5780 | 1.3956 | 1.1814 |
| No log | 1.8868 | 100 | 1.1334 | 0.6136 | 1.1334 | 1.0646 |
| No log | 1.9245 | 102 | 1.1253 | 0.6099 | 1.1253 | 1.0608 |
| No log | 1.9623 | 104 | 1.0380 | 0.6665 | 1.0380 | 1.0188 |
| No log | 2.0 | 106 | 1.0993 | 0.6122 | 1.0993 | 1.0485 |
| No log | 2.0377 | 108 | 1.2436 | 0.5880 | 1.2436 | 1.1152 |
| No log | 2.0755 | 110 | 1.2914 | 0.6062 | 1.2914 | 1.1364 |
| No log | 2.1132 | 112 | 1.4993 | 0.5623 | 1.4993 | 1.2245 |
| No log | 2.1509 | 114 | 1.6392 | 0.5531 | 1.6392 | 1.2803 |
| No log | 2.1887 | 116 | 1.6709 | 0.5435 | 1.6709 | 1.2926 |
| No log | 2.2264 | 118 | 1.5655 | 0.5552 | 1.5655 | 1.2512 |
| No log | 2.2642 | 120 | 1.3433 | 0.5727 | 1.3433 | 1.1590 |
| No log | 2.3019 | 122 | 1.3008 | 0.5652 | 1.3008 | 1.1405 |
| No log | 2.3396 | 124 | 1.2348 | 0.5775 | 1.2348 | 1.1112 |
| No log | 2.3774 | 126 | 1.2530 | 0.5794 | 1.2530 | 1.1194 |
| No log | 2.4151 | 128 | 1.4127 | 0.5474 | 1.4127 | 1.1886 |
| No log | 2.4528 | 130 | 1.4241 | 0.5460 | 1.4241 | 1.1934 |
| No log | 2.4906 | 132 | 1.2559 | 0.5603 | 1.2559 | 1.1207 |
| No log | 2.5283 | 134 | 1.1744 | 0.5736 | 1.1744 | 1.0837 |
| No log | 2.5660 | 136 | 1.4005 | 0.5517 | 1.4005 | 1.1834 |
| No log | 2.6038 | 138 | 1.4113 | 0.5561 | 1.4113 | 1.1880 |
| No log | 2.6415 | 140 | 1.4057 | 0.5540 | 1.4057 | 1.1856 |
| No log | 2.6792 | 142 | 1.2765 | 0.5668 | 1.2765 | 1.1298 |
| No log | 2.7170 | 144 | 1.1000 | 0.5906 | 1.1000 | 1.0488 |
| No log | 2.7547 | 146 | 1.0980 | 0.5873 | 1.0980 | 1.0478 |
| No log | 2.7925 | 148 | 1.1821 | 0.5688 | 1.1821 | 1.0873 |
| No log | 2.8302 | 150 | 1.1415 | 0.5805 | 1.1415 | 1.0684 |
| No log | 2.8679 | 152 | 0.9420 | 0.6606 | 0.9420 | 0.9705 |
| No log | 2.9057 | 154 | 0.9355 | 0.6606 | 0.9355 | 0.9672 |
| No log | 2.9434 | 156 | 0.9568 | 0.6517 | 0.9568 | 0.9781 |
| No log | 2.9811 | 158 | 1.0115 | 0.6263 | 1.0115 | 1.0057 |
| No log | 3.0189 | 160 | 0.9718 | 0.6470 | 0.9718 | 0.9858 |
| No log | 3.0566 | 162 | 1.1659 | 0.5965 | 1.1659 | 1.0798 |
| No log | 3.0943 | 164 | 1.4855 | 0.5788 | 1.4855 | 1.2188 |
| No log | 3.1321 | 166 | 1.3369 | 0.5736 | 1.3369 | 1.1562 |
| No log | 3.1698 | 168 | 1.0425 | 0.6261 | 1.0425 | 1.0210 |
| No log | 3.2075 | 170 | 0.8930 | 0.6723 | 0.8930 | 0.9450 |
| No log | 3.2453 | 172 | 1.0002 | 0.6496 | 1.0002 | 1.0001 |
| No log | 3.2830 | 174 | 1.2463 | 0.5688 | 1.2463 | 1.1164 |
| No log | 3.3208 | 176 | 1.5706 | 0.5344 | 1.5706 | 1.2532 |
| No log | 3.3585 | 178 | 1.4934 | 0.5453 | 1.4934 | 1.2221 |
| No log | 3.3962 | 180 | 1.2412 | 0.5717 | 1.2412 | 1.1141 |
| No log | 3.4340 | 182 | 0.9461 | 0.6723 | 0.9461 | 0.9727 |
| No log | 3.4717 | 184 | 0.8855 | 0.6861 | 0.8855 | 0.9410 |
| No log | 3.5094 | 186 | 1.0229 | 0.6087 | 1.0229 | 1.0114 |
| No log | 3.5472 | 188 | 1.1166 | 0.6071 | 1.1166 | 1.0567 |
| No log | 3.5849 | 190 | 1.0165 | 0.6127 | 1.0165 | 1.0082 |
| No log | 3.6226 | 192 | 0.9657 | 0.6299 | 0.9657 | 0.9827 |
| No log | 3.6604 | 194 | 0.8798 | 0.6884 | 0.8798 | 0.9380 |
| No log | 3.6981 | 196 | 0.9121 | 0.6768 | 0.9121 | 0.9550 |
| No log | 3.7358 | 198 | 1.0084 | 0.6418 | 1.0084 | 1.0042 |
| No log | 3.7736 | 200 | 1.1114 | 0.6010 | 1.1114 | 1.0542 |
| No log | 3.8113 | 202 | 1.1621 | 0.6010 | 1.1621 | 1.0780 |
| No log | 3.8491 | 204 | 1.0302 | 0.6207 | 1.0302 | 1.0150 |
| No log | 3.8868 | 206 | 0.9187 | 0.6552 | 0.9187 | 0.9585 |
| No log | 3.9245 | 208 | 0.8743 | 0.6592 | 0.8743 | 0.9350 |
| No log | 3.9623 | 210 | 1.0026 | 0.6269 | 1.0026 | 1.0013 |
| No log | 4.0 | 212 | 1.3462 | 0.5711 | 1.3462 | 1.1603 |
| No log | 4.0377 | 214 | 1.6942 | 0.5245 | 1.6942 | 1.3016 |
| No log | 4.0755 | 216 | 1.7152 | 0.5355 | 1.7152 | 1.3097 |
| No log | 4.1132 | 218 | 1.4307 | 0.5635 | 1.4307 | 1.1961 |
| No log | 4.1509 | 220 | 1.0824 | 0.6282 | 1.0824 | 1.0404 |
| No log | 4.1887 | 222 | 0.8438 | 0.6797 | 0.8438 | 0.9186 |
| No log | 4.2264 | 224 | 0.8410 | 0.6616 | 0.8410 | 0.9170 |
| No log | 4.2642 | 226 | 0.9972 | 0.6219 | 0.9972 | 0.9986 |
| No log | 4.3019 | 228 | 1.3307 | 0.5797 | 1.3307 | 1.1536 |
| No log | 4.3396 | 230 | 1.7150 | 0.5259 | 1.7150 | 1.3096 |
| No log | 4.3774 | 232 | 1.7919 | 0.5181 | 1.7919 | 1.3386 |
| No log | 4.4151 | 234 | 1.6430 | 0.5336 | 1.6430 | 1.2818 |
| No log | 4.4528 | 236 | 1.3447 | 0.5629 | 1.3447 | 1.1596 |
| No log | 4.4906 | 238 | 1.1345 | 0.5928 | 1.1345 | 1.0651 |
| No log | 4.5283 | 240 | 1.0517 | 0.6359 | 1.0517 | 1.0255 |
| No log | 4.5660 | 242 | 1.1241 | 0.5897 | 1.1241 | 1.0602 |
| No log | 4.6038 | 244 | 1.1036 | 0.6110 | 1.1036 | 1.0505 |
| No log | 4.6415 | 246 | 1.1139 | 0.6156 | 1.1139 | 1.0554 |
| No log | 4.6792 | 248 | 1.1620 | 0.6117 | 1.1620 | 1.0780 |
| No log | 4.7170 | 250 | 1.1070 | 0.6282 | 1.1070 | 1.0521 |
| No log | 4.7547 | 252 | 0.9593 | 0.6420 | 0.9593 | 0.9795 |
| No log | 4.7925 | 254 | 0.9450 | 0.6354 | 0.9450 | 0.9721 |
| No log | 4.8302 | 256 | 0.9610 | 0.6325 | 0.9610 | 0.9803 |
| No log | 4.8679 | 258 | 0.9738 | 0.6311 | 0.9738 | 0.9868 |
| No log | 4.9057 | 260 | 0.9538 | 0.6542 | 0.9538 | 0.9766 |
| No log | 4.9434 | 262 | 0.9604 | 0.6475 | 0.9604 | 0.9800 |
| No log | 4.9811 | 264 | 0.9047 | 0.6750 | 0.9047 | 0.9512 |
| No log | 5.0189 | 266 | 0.8147 | 0.6979 | 0.8147 | 0.9026 |
| No log | 5.0566 | 268 | 0.7858 | 0.7188 | 0.7858 | 0.8864 |
| No log | 5.0943 | 270 | 0.7928 | 0.7185 | 0.7928 | 0.8904 |
| No log | 5.1321 | 272 | 0.7889 | 0.7185 | 0.7889 | 0.8882 |
| No log | 5.1698 | 274 | 0.7856 | 0.7230 | 0.7856 | 0.8863 |
| No log | 5.2075 | 276 | 0.9034 | 0.6664 | 0.9034 | 0.9505 |
| No log | 5.2453 | 278 | 1.1233 | 0.6119 | 1.1233 | 1.0598 |
| No log | 5.2830 | 280 | 1.2973 | 0.5521 | 1.2973 | 1.1390 |
| No log | 5.3208 | 282 | 1.2968 | 0.5450 | 1.2968 | 1.1388 |
| No log | 5.3585 | 284 | 1.1928 | 0.5727 | 1.1928 | 1.0922 |
| No log | 5.3962 | 286 | 1.1480 | 0.5920 | 1.1480 | 1.0714 |
| No log | 5.4340 | 288 | 1.1247 | 0.6068 | 1.1247 | 1.0605 |
| No log | 5.4717 | 290 | 1.0367 | 0.6423 | 1.0367 | 1.0182 |
| No log | 5.5094 | 292 | 1.0113 | 0.6439 | 1.0113 | 1.0057 |
| No log | 5.5472 | 294 | 1.0842 | 0.6165 | 1.0842 | 1.0412 |
| No log | 5.5849 | 296 | 1.1344 | 0.6020 | 1.1344 | 1.0651 |
| No log | 5.6226 | 298 | 1.1445 | 0.6070 | 1.1445 | 1.0698 |
| No log | 5.6604 | 300 | 1.0471 | 0.6227 | 1.0471 | 1.0233 |
| No log | 5.6981 | 302 | 0.9805 | 0.6402 | 0.9805 | 0.9902 |
| No log | 5.7358 | 304 | 0.8900 | 0.6421 | 0.8900 | 0.9434 |
| No log | 5.7736 | 306 | 0.8109 | 0.6855 | 0.8109 | 0.9005 |
| No log | 5.8113 | 308 | 0.7778 | 0.6895 | 0.7778 | 0.8820 |
| No log | 5.8491 | 310 | 0.8201 | 0.6855 | 0.8201 | 0.9056 |
| No log | 5.8868 | 312 | 0.9533 | 0.6426 | 0.9533 | 0.9764 |
| No log | 5.9245 | 314 | 1.0444 | 0.6521 | 1.0444 | 1.0220 |
| No log | 5.9623 | 316 | 1.1996 | 0.6069 | 1.1996 | 1.0953 |
| No log | 6.0 | 318 | 1.2325 | 0.6099 | 1.2325 | 1.1102 |
| No log | 6.0377 | 320 | 1.1182 | 0.6498 | 1.1182 | 1.0575 |
| No log | 6.0755 | 322 | 0.9756 | 0.6402 | 0.9756 | 0.9877 |
| No log | 6.1132 | 324 | 0.9629 | 0.6407 | 0.9629 | 0.9813 |
| No log | 6.1509 | 326 | 0.9965 | 0.6421 | 0.9965 | 0.9983 |
| No log | 6.1887 | 328 | 1.0846 | 0.6289 | 1.0846 | 1.0415 |
| No log | 6.2264 | 330 | 1.2648 | 0.5790 | 1.2648 | 1.1246 |
| No log | 6.2642 | 332 | 1.3464 | 0.5788 | 1.3464 | 1.1604 |
| No log | 6.3019 | 334 | 1.3065 | 0.5891 | 1.3065 | 1.1430 |
| No log | 6.3396 | 336 | 1.2713 | 0.6146 | 1.2713 | 1.1275 |
| No log | 6.3774 | 338 | 1.2297 | 0.6257 | 1.2297 | 1.1089 |
| No log | 6.4151 | 340 | 1.2031 | 0.6405 | 1.2031 | 1.0969 |
| No log | 6.4528 | 342 | 1.1365 | 0.6216 | 1.1365 | 1.0661 |
| No log | 6.4906 | 344 | 1.0839 | 0.6347 | 1.0839 | 1.0411 |
| No log | 6.5283 | 346 | 1.0841 | 0.6347 | 1.0841 | 1.0412 |
| No log | 6.5660 | 348 | 1.1467 | 0.6216 | 1.1467 | 1.0708 |
| No log | 6.6038 | 350 | 1.1731 | 0.6257 | 1.1731 | 1.0831 |
| No log | 6.6415 | 352 | 1.2687 | 0.6193 | 1.2687 | 1.1264 |
| No log | 6.6792 | 354 | 1.2943 | 0.6141 | 1.2943 | 1.1377 |
| No log | 6.7170 | 356 | 1.2489 | 0.6217 | 1.2489 | 1.1175 |
| No log | 6.7547 | 358 | 1.1212 | 0.6372 | 1.1212 | 1.0589 |
| No log | 6.7925 | 360 | 1.0735 | 0.6360 | 1.0735 | 1.0361 |
| No log | 6.8302 | 362 | 1.1071 | 0.6360 | 1.1071 | 1.0522 |
| No log | 6.8679 | 364 | 1.1215 | 0.6346 | 1.1215 | 1.0590 |
| No log | 6.9057 | 366 | 1.1427 | 0.6359 | 1.1427 | 1.0690 |
| No log | 6.9434 | 368 | 1.1435 | 0.6441 | 1.1435 | 1.0694 |
| No log | 6.9811 | 370 | 1.1846 | 0.6424 | 1.1846 | 1.0884 |
| No log | 7.0189 | 372 | 1.1663 | 0.6359 | 1.1663 | 1.0799 |
| No log | 7.0566 | 374 | 1.0991 | 0.6407 | 1.0991 | 1.0484 |
| No log | 7.0943 | 376 | 1.0622 | 0.6407 | 1.0622 | 1.0306 |
| No log | 7.1321 | 378 | 1.0070 | 0.6462 | 1.0070 | 1.0035 |
| No log | 7.1698 | 380 | 0.9385 | 0.6521 | 0.9385 | 0.9688 |
| No log | 7.2075 | 382 | 0.9263 | 0.6521 | 0.9263 | 0.9625 |
| No log | 7.2453 | 384 | 0.9908 | 0.6567 | 0.9908 | 0.9954 |
| No log | 7.2830 | 386 | 1.1235 | 0.6386 | 1.1235 | 1.0599 |
| No log | 7.3208 | 388 | 1.2385 | 0.5922 | 1.2385 | 1.1129 |
| No log | 7.3585 | 390 | 1.2625 | 0.5861 | 1.2625 | 1.1236 |
| No log | 7.3962 | 392 | 1.1946 | 0.6186 | 1.1946 | 1.0930 |
| No log | 7.4340 | 394 | 1.0577 | 0.6536 | 1.0577 | 1.0285 |
| No log | 7.4717 | 396 | 0.9664 | 0.6591 | 0.9664 | 0.9831 |
| No log | 7.5094 | 398 | 0.9272 | 0.6647 | 0.9272 | 0.9629 |
| No log | 7.5472 | 400 | 0.9412 | 0.6682 | 0.9412 | 0.9702 |
| No log | 7.5849 | 402 | 1.0151 | 0.6541 | 1.0151 | 1.0075 |
| No log | 7.6226 | 404 | 1.1127 | 0.6206 | 1.1127 | 1.0548 |
| No log | 7.6604 | 406 | 1.1704 | 0.6092 | 1.1704 | 1.0819 |
| No log | 7.6981 | 408 | 1.1925 | 0.6092 | 1.1925 | 1.0920 |
| No log | 7.7358 | 410 | 1.1424 | 0.6092 | 1.1424 | 1.0688 |
| No log | 7.7736 | 412 | 1.0557 | 0.6431 | 1.0557 | 1.0275 |
| No log | 7.8113 | 414 | 0.9467 | 0.6639 | 0.9467 | 0.9730 |
| No log | 7.8491 | 416 | 0.8738 | 0.6575 | 0.8738 | 0.9348 |
| No log | 7.8868 | 418 | 0.8421 | 0.6984 | 0.8421 | 0.9177 |
| No log | 7.9245 | 420 | 0.8491 | 0.7028 | 0.8491 | 0.9215 |
| No log | 7.9623 | 422 | 0.8862 | 0.6786 | 0.8862 | 0.9414 |
| No log | 8.0 | 424 | 0.9542 | 0.6557 | 0.9542 | 0.9769 |
| No log | 8.0377 | 426 | 1.0235 | 0.6423 | 1.0235 | 1.0117 |
| No log | 8.0755 | 428 | 1.0729 | 0.6398 | 1.0729 | 1.0358 |
| No log | 8.1132 | 430 | 1.1038 | 0.6326 | 1.1038 | 1.0506 |
| No log | 8.1509 | 432 | 1.0828 | 0.6326 | 1.0828 | 1.0406 |
| No log | 8.1887 | 434 | 1.0156 | 0.6541 | 1.0156 | 1.0077 |
| No log | 8.2264 | 436 | 0.9228 | 0.6656 | 0.9228 | 0.9606 |
| No log | 8.2642 | 438 | 0.8553 | 0.6909 | 0.8553 | 0.9248 |
| No log | 8.3019 | 440 | 0.8285 | 0.6972 | 0.8285 | 0.9102 |
| No log | 8.3396 | 442 | 0.8367 | 0.6972 | 0.8367 | 0.9147 |
| No log | 8.3774 | 444 | 0.8680 | 0.6909 | 0.8680 | 0.9317 |
| No log | 8.4151 | 446 | 0.9097 | 0.6656 | 0.9097 | 0.9538 |
| No log | 8.4528 | 448 | 0.9802 | 0.6592 | 0.9802 | 0.9900 |
| No log | 8.4906 | 450 | 1.0355 | 0.6571 | 1.0355 | 1.0176 |
| No log | 8.5283 | 452 | 1.0733 | 0.6444 | 1.0733 | 1.0360 |
| No log | 8.5660 | 454 | 1.1153 | 0.6274 | 1.1153 | 1.0561 |
| No log | 8.6038 | 456 | 1.1545 | 0.6318 | 1.1545 | 1.0745 |
| No log | 8.6415 | 458 | 1.1614 | 0.6209 | 1.1614 | 1.0777 |
| No log | 8.6792 | 460 | 1.1294 | 0.6247 | 1.1294 | 1.0627 |
| No log | 8.7170 | 462 | 1.0850 | 0.6274 | 1.0850 | 1.0416 |
| No log | 8.7547 | 464 | 1.0630 | 0.6328 | 1.0630 | 1.0310 |
| No log | 8.7925 | 466 | 1.0565 | 0.6328 | 1.0565 | 1.0279 |
| No log | 8.8302 | 468 | 1.0681 | 0.6328 | 1.0681 | 1.0335 |
| No log | 8.8679 | 470 | 1.0730 | 0.6328 | 1.0730 | 1.0359 |
| No log | 8.9057 | 472 | 1.0804 | 0.6328 | 1.0804 | 1.0394 |
| No log | 8.9434 | 474 | 1.0930 | 0.6412 | 1.0930 | 1.0455 |
| No log | 8.9811 | 476 | 1.0849 | 0.6412 | 1.0849 | 1.0416 |
| No log | 9.0189 | 478 | 1.0737 | 0.6412 | 1.0737 | 1.0362 |
| No log | 9.0566 | 480 | 1.0530 | 0.6328 | 1.0530 | 1.0261 |
| No log | 9.0943 | 482 | 1.0612 | 0.6328 | 1.0612 | 1.0302 |
| No log | 9.1321 | 484 | 1.0631 | 0.6551 | 1.0631 | 1.0310 |
| No log | 9.1698 | 486 | 1.0747 | 0.6389 | 1.0747 | 1.0367 |
| No log | 9.2075 | 488 | 1.0997 | 0.6328 | 1.0997 | 1.0487 |
| No log | 9.2453 | 490 | 1.1057 | 0.6242 | 1.1057 | 1.0515 |
| No log | 9.2830 | 492 | 1.0985 | 0.6287 | 1.0985 | 1.0481 |
| No log | 9.3208 | 494 | 1.0902 | 0.6447 | 1.0902 | 1.0441 |
| No log | 9.3585 | 496 | 1.0668 | 0.6551 | 1.0668 | 1.0329 |
| No log | 9.3962 | 498 | 1.0576 | 0.6551 | 1.0576 | 1.0284 |
| 0.3535 | 9.4340 | 500 | 1.0525 | 0.6551 | 1.0525 | 1.0259 |
| 0.3535 | 9.4717 | 502 | 1.0475 | 0.6551 | 1.0475 | 1.0235 |
| 0.3535 | 9.5094 | 504 | 1.0528 | 0.6462 | 1.0528 | 1.0261 |
| 0.3535 | 9.5472 | 506 | 1.0613 | 0.6462 | 1.0613 | 1.0302 |
| 0.3535 | 9.5849 | 508 | 1.0619 | 0.6462 | 1.0619 | 1.0305 |
| 0.3535 | 9.6226 | 510 | 1.0558 | 0.6462 | 1.0558 | 1.0275 |
| 0.3535 | 9.6604 | 512 | 1.0501 | 0.6462 | 1.0501 | 1.0248 |
| 0.3535 | 9.6981 | 514 | 1.0455 | 0.6462 | 1.0455 | 1.0225 |
| 0.3535 | 9.7358 | 516 | 1.0391 | 0.6462 | 1.0391 | 1.0194 |
| 0.3535 | 9.7736 | 518 | 1.0350 | 0.6462 | 1.0350 | 1.0174 |
| 0.3535 | 9.8113 | 520 | 1.0331 | 0.6462 | 1.0331 | 1.0164 |
| 0.3535 | 9.8491 | 522 | 1.0335 | 0.6462 | 1.0335 | 1.0166 |
| 0.3535 | 9.8868 | 524 | 1.0323 | 0.6462 | 1.0323 | 1.0160 |
| 0.3535 | 9.9245 | 526 | 1.0298 | 0.6462 | 1.0298 | 1.0148 |
| 0.3535 | 9.9623 | 528 | 1.0286 | 0.6462 | 1.0286 | 1.0142 |
| 0.3535 | 10.0 | 530 | 1.0278 | 0.6462 | 1.0278 | 1.0138 |
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_run3_AugV5_k16_task5_organization
Base model
aubmindlab/bert-base-arabertv02