qa-persian-bert-fa-zwnj-base
This model is a fine-tuned version of makhataei/qa-persian-bert-fa-zwnj-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.3843
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: 1.5625e-09
- train_batch_size: 14
- eval_batch_size: 14
- 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 |
|---|---|---|---|
| 5.125 | 1.0 | 9 | 5.3843 |
| 5.444 | 2.0 | 18 | 5.3843 |
| 5.3229 | 3.0 | 27 | 5.3843 |
| 5.2751 | 4.0 | 36 | 5.3843 |
| 5.375 | 5.0 | 45 | 5.3843 |
| 5.3294 | 6.0 | 54 | 5.3843 |
| 5.2187 | 7.0 | 63 | 5.3843 |
| 5.1924 | 8.0 | 72 | 5.3843 |
| 5.1873 | 9.0 | 81 | 5.3843 |
| 5.2205 | 10.0 | 90 | 5.3843 |
| 5.2005 | 11.0 | 99 | 5.3843 |
| 5.3034 | 12.0 | 108 | 5.3843 |
| 5.3776 | 13.0 | 117 | 5.3843 |
| 5.3787 | 14.0 | 126 | 5.3843 |
| 5.3281 | 15.0 | 135 | 5.3843 |
| 5.2438 | 16.0 | 144 | 5.3843 |
| 5.4077 | 17.0 | 153 | 5.3843 |
| 5.1741 | 18.0 | 162 | 5.3843 |
| 5.3613 | 19.0 | 171 | 5.3843 |
| 5.2547 | 20.0 | 180 | 5.3843 |
| 5.3764 | 21.0 | 189 | 5.3843 |
| 5.3364 | 22.0 | 198 | 5.3843 |
| 5.4365 | 23.0 | 207 | 5.3843 |
| 5.4776 | 24.0 | 216 | 5.3843 |
| 5.4576 | 25.0 | 225 | 5.3843 |
| 5.4154 | 26.0 | 234 | 5.3843 |
| 5.4173 | 27.0 | 243 | 5.3843 |
| 5.3745 | 28.0 | 252 | 5.3843 |
| 5.3702 | 29.0 | 261 | 5.3843 |
| 5.355 | 30.0 | 270 | 5.3843 |
| 5.4444 | 31.0 | 279 | 5.3843 |
| 5.3054 | 32.0 | 288 | 5.3843 |
| 5.3231 | 33.0 | 297 | 5.3843 |
| 5.4371 | 34.0 | 306 | 5.3843 |
| 5.3532 | 35.0 | 315 | 5.3843 |
| 5.4009 | 36.0 | 324 | 5.3843 |
| 5.3778 | 37.0 | 333 | 5.3843 |
| 5.4367 | 38.0 | 342 | 5.3843 |
| 5.4419 | 39.0 | 351 | 5.3843 |
| 5.3169 | 40.0 | 360 | 5.3843 |
| 5.4068 | 41.0 | 369 | 5.3843 |
| 5.4131 | 42.0 | 378 | 5.3843 |
| 5.438 | 43.0 | 387 | 5.3843 |
| 5.3087 | 44.0 | 396 | 5.3843 |
| 5.3824 | 45.0 | 405 | 5.3843 |
| 5.3873 | 46.0 | 414 | 5.3843 |
| 5.5421 | 47.0 | 423 | 5.3843 |
| 5.4856 | 48.0 | 432 | 5.3843 |
| 5.4418 | 49.0 | 441 | 5.3843 |
| 5.6124 | 50.0 | 450 | 5.3843 |
| 5.513 | 51.0 | 459 | 5.3843 |
| 5.4882 | 52.0 | 468 | 5.3843 |
| 5.4542 | 53.0 | 477 | 5.3843 |
| 5.5348 | 54.0 | 486 | 5.3843 |
| 5.4597 | 55.0 | 495 | 5.3843 |
| 5.498 | 56.0 | 504 | 5.3843 |
| 5.521 | 57.0 | 513 | 5.3843 |
| 5.4913 | 58.0 | 522 | 5.3843 |
| 5.4776 | 59.0 | 531 | 5.3843 |
| 5.4312 | 60.0 | 540 | 5.3843 |
| 5.4966 | 61.0 | 549 | 5.3843 |
| 5.6154 | 62.0 | 558 | 5.3843 |
| 5.5904 | 63.0 | 567 | 5.3843 |
| 5.5537 | 64.0 | 576 | 5.3843 |
| 5.5173 | 65.0 | 585 | 5.3843 |
| 5.7689 | 66.0 | 594 | 5.3843 |
| 5.6241 | 67.0 | 603 | 5.3843 |
| 5.4729 | 68.0 | 612 | 5.3843 |
| 5.6112 | 69.0 | 621 | 5.3843 |
| 5.6145 | 70.0 | 630 | 5.3843 |
| 5.6586 | 71.0 | 639 | 5.3843 |
| 5.5165 | 72.0 | 648 | 5.3843 |
| 5.626 | 73.0 | 657 | 5.3843 |
| 5.6916 | 74.0 | 666 | 5.3843 |
| 5.7136 | 75.0 | 675 | 5.3843 |
| 5.5844 | 76.0 | 684 | 5.3843 |
| 5.6844 | 77.0 | 693 | 5.3843 |
| 5.6695 | 78.0 | 702 | 5.3843 |
| 5.7414 | 79.0 | 711 | 5.3843 |
| 5.7771 | 80.0 | 720 | 5.3843 |
| 5.7905 | 81.0 | 729 | 5.3843 |
| 5.7723 | 82.0 | 738 | 5.3843 |
| 5.7076 | 83.0 | 747 | 5.3843 |
| 5.7264 | 84.0 | 756 | 5.3843 |
| 5.7092 | 85.0 | 765 | 5.3843 |
| 5.6928 | 86.0 | 774 | 5.3843 |
| 5.8473 | 87.0 | 783 | 5.3843 |
| 5.8604 | 88.0 | 792 | 5.3843 |
| 5.8269 | 89.0 | 801 | 5.3843 |
| 5.849 | 90.0 | 810 | 5.3843 |
| 5.9264 | 91.0 | 819 | 5.3843 |
| 5.827 | 92.0 | 828 | 5.3843 |
| 5.9179 | 93.0 | 837 | 5.3843 |
| 5.8771 | 94.0 | 846 | 5.3843 |
| 5.9364 | 95.0 | 855 | 5.3843 |
| 5.7973 | 96.0 | 864 | 5.3843 |
| 5.9082 | 97.0 | 873 | 5.3843 |
| 5.895 | 98.0 | 882 | 5.3843 |
| 5.8634 | 99.0 | 891 | 5.3843 |
| 5.957 | 100.0 | 900 | 5.3843 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
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