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qa-fa-mdeberta-v3-base
makhataei/qa-fa-mdeberta-v3-base
qa-fa-mdeberta-v3-base is a question answering model from makhataei. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- mit
- Model type
- deberta-v2
- Access
- Public
- Created
- Dec 3, 2023
- Updated
- Mar 6, 2024
- SHA
- 9bc2e8c7
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
qa-fa-mdeberta-v3-base
This model is a fine-tuned version of makhataei/qa-fa-mdeberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.5578
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: 7.8125e-10
- 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 |
|---|---|---|---|
| 5.547 | 1.0 | 18 | 5.5578 |
| 5.5724 | 2.0 | 36 | 5.5578 |
| 5.558 | 3.0 | 54 | 5.5578 |
| 5.5752 | 4.0 | 72 | 5.5578 |
| 5.5684 | 5.0 | 90 | 5.5578 |
| 5.5479 | 6.0 | 108 | 5.5578 |
| 5.5724 | 7.0 | 126 | 5.5578 |
| 5.5792 | 8.0 | 144 | 5.5578 |
| 5.5603 | 9.0 | 162 | 5.5578 |
| 5.5868 | 10.0 | 180 | 5.5578 |
| 5.5626 | 11.0 | 198 | 5.5578 |
| 5.5889 | 12.0 | 216 | 5.5578 |
| 5.5413 | 13.0 | 234 | 5.5578 |
| 5.5526 | 14.0 | 252 | 5.5578 |
| 5.5584 | 15.0 | 270 | 5.5578 |
| 5.5539 | 16.0 | 288 | 5.5578 |
| 5.5728 | 17.0 | 306 | 5.5578 |
| 5.5584 | 18.0 | 324 | 5.5578 |
| 5.5555 | 19.0 | 342 | 5.5578 |
| 5.5809 | 20.0 | 360 | 5.5578 |
| 5.577 | 21.0 | 378 | 5.5578 |
| 5.5784 | 22.0 | 396 | 5.5578 |
| 5.5537 | 23.0 | 414 | 5.5578 |
| 5.6048 | 24.0 | 432 | 5.5578 |
| 5.5687 | 25.0 | 450 | 5.5578 |
| 5.5683 | 26.0 | 468 | 5.5578 |
| 5.5949 | 27.0 | 486 | 5.5578 |
| 5.5585 | 28.0 | 504 | 5.5578 |
| 5.5477 | 29.0 | 522 | 5.5578 |
| 5.5668 | 30.0 | 540 | 5.5578 |
| 5.5919 | 31.0 | 558 | 5.5578 |
| 5.5527 | 32.0 | 576 | 5.5578 |
| 5.5661 | 33.0 | 594 | 5.5578 |
| 5.589 | 34.0 | 612 | 5.5578 |
| 5.579 | 35.0 | 630 | 5.5578 |
| 5.5495 | 36.0 | 648 | 5.5578 |
| 5.5671 | 37.0 | 666 | 5.5578 |
| 5.5379 | 38.0 | 684 | 5.5578 |
| 5.54 | 39.0 | 702 | 5.5578 |
| 5.559 | 40.0 | 720 | 5.5578 |
| 5.5825 | 41.0 | 738 | 5.5578 |
| 5.5422 | 42.0 | 756 | 5.5578 |
| 5.5507 | 43.0 | 774 | 5.5578 |
| 5.5464 | 44.0 | 792 | 5.5578 |
| 5.5746 | 45.0 | 810 | 5.5578 |
| 5.5704 | 46.0 | 828 | 5.5578 |
| 5.559 | 47.0 | 846 | 5.5578 |
| 5.5813 | 48.0 | 864 | 5.5578 |
| 5.5634 | 49.0 | 882 | 5.5578 |
| 5.5797 | 50.0 | 900 | 5.5578 |
| 5.545 | 51.0 | 918 | 5.5578 |
| 5.5357 | 52.0 | 936 | 5.5578 |
| 5.6026 | 53.0 | 954 | 5.5578 |
| 5.5914 | 54.0 | 972 | 5.5578 |
| 5.5708 | 55.0 | 990 | 5.5578 |
| 5.5938 | 56.0 | 1008 | 5.5578 |
| 5.5768 | 57.0 | 1026 | 5.5578 |
| 5.5647 | 58.0 | 1044 | 5.5578 |
| 5.5822 | 59.0 | 1062 | 5.5578 |
| 5.5632 | 60.0 | 1080 | 5.5578 |
| 5.5508 | 61.0 | 1098 | 5.5578 |
| 5.559 | 62.0 | 1116 | 5.5578 |
| 5.5485 | 63.0 | 1134 | 5.5578 |
| 5.5532 | 64.0 | 1152 | 5.5578 |
| 5.5877 | 65.0 | 1170 | 5.5578 |
| 5.5546 | 66.0 | 1188 | 5.5578 |
| 5.5623 | 67.0 | 1206 | 5.5578 |
| 5.5603 | 68.0 | 1224 | 5.5578 |
| 5.5697 | 69.0 | 1242 | 5.5578 |
| 5.5674 | 70.0 | 1260 | 5.5578 |
| 5.5506 | 71.0 | 1278 | 5.5578 |
| 5.5451 | 72.0 | 1296 | 5.5578 |
| 5.5678 | 73.0 | 1314 | 5.5578 |
| 5.5547 | 74.0 | 1332 | 5.5578 |
| 5.5799 | 75.0 | 1350 | 5.5578 |
| 5.5647 | 76.0 | 1368 | 5.5578 |
| 5.5858 | 77.0 | 1386 | 5.5578 |
| 5.6046 | 78.0 | 1404 | 5.5578 |
| 5.5658 | 79.0 | 1422 | 5.5578 |
| 5.5844 | 80.0 | 1440 | 5.5578 |
| 5.583 | 81.0 | 1458 | 5.5578 |
| 5.5796 | 82.0 | 1476 | 5.5578 |
| 5.5706 | 83.0 | 1494 | 5.5578 |
| 5.576 | 84.0 | 1512 | 5.5578 |
| 5.5662 | 85.0 | 1530 | 5.5578 |
| 5.5903 | 86.0 | 1548 | 5.5578 |
| 5.5475 | 87.0 | 1566 | 5.5578 |
| 5.5882 | 88.0 | 1584 | 5.5578 |
| 5.5492 | 89.0 | 1602 | 5.5578 |
| 5.5985 | 90.0 | 1620 | 5.5578 |
| 5.5673 | 91.0 | 1638 | 5.5578 |
| 5.554 | 92.0 | 1656 | 5.5578 |
| 5.5894 | 93.0 | 1674 | 5.5578 |
| 5.5466 | 94.0 | 1692 | 5.5578 |
| 5.56 | 95.0 | 1710 | 5.5578 |
| 5.5847 | 96.0 | 1728 | 5.5578 |
| 5.5732 | 97.0 | 1746 | 5.5578 |
| 5.5662 | 98.0 | 1764 | 5.5578 |
| 5.5647 | 99.0 | 1782 | 5.5578 |
| 5.5472 | 100.0 | 1800 | 5.5578 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Question Answering
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Dec 3, 2023
- Updated
- Mar 6, 2024