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qa-persian-xlm-roberta-large
makhataei/qa-persian-xlm-roberta-large
qa-persian-xlm-roberta-large is a question answering model from makhataei. Use it when the input is a question plus a passage. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- Model type
- xlm-roberta
- Access
- Public
- Created
- Dec 2, 2023
- Updated
- Apr 6, 2024
- SHA
- a7d4b13c
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-persian-xlm-roberta-large
This model is a fine-tuned version of makhataei/qa-persian-xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.7315
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: 1e-08
- 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: 40
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.2629 | 1.0 | 202 | 5.7315 |
| 5.2091 | 2.0 | 404 | 5.7315 |
| 5.3101 | 3.0 | 606 | 5.7315 |
| 5.4071 | 4.0 | 808 | 5.7315 |
| 5.4292 | 5.0 | 1010 | 5.7315 |
| 5.4351 | 6.0 | 1212 | 5.7315 |
| 5.4477 | 7.0 | 1414 | 5.7315 |
| 5.436 | 8.0 | 1616 | 5.7315 |
| 5.4652 | 9.0 | 1818 | 5.7315 |
| 5.4464 | 10.0 | 2020 | 5.7315 |
| 5.435 | 11.0 | 2222 | 5.7315 |
| 5.4423 | 12.0 | 2424 | 5.7315 |
| 5.451 | 13.0 | 2626 | 5.7315 |
| 5.4455 | 14.0 | 2828 | 5.7315 |
| 5.4703 | 15.0 | 3030 | 5.7315 |
| 5.4351 | 16.0 | 3232 | 5.7315 |
| 5.4895 | 17.0 | 3434 | 5.7315 |
| 5.4439 | 18.0 | 3636 | 5.7315 |
| 5.4662 | 19.0 | 3838 | 5.7315 |
| 5.454 | 20.0 | 4040 | 5.7315 |
| 5.4645 | 21.0 | 4242 | 5.7315 |
| 5.4453 | 22.0 | 4444 | 5.7315 |
| 5.4659 | 23.0 | 4646 | 5.7315 |
| 5.4628 | 24.0 | 4848 | 5.7315 |
| 5.4349 | 25.0 | 5050 | 5.7315 |
| 5.4345 | 26.0 | 5252 | 5.7315 |
| 5.4228 | 27.0 | 5454 | 5.7315 |
| 5.4492 | 28.0 | 5656 | 5.7315 |
| 5.4358 | 29.0 | 5858 | 5.7315 |
| 5.461 | 30.0 | 6060 | 5.7315 |
| 5.4304 | 31.0 | 6262 | 5.7315 |
| 5.4376 | 32.0 | 6464 | 5.7315 |
| 5.4526 | 33.0 | 6666 | 5.7315 |
| 5.4687 | 34.0 | 6868 | 5.7315 |
| 5.44 | 35.0 | 7070 | 5.7315 |
| 5.4491 | 36.0 | 7272 | 5.7315 |
| 5.4379 | 37.0 | 7474 | 5.7315 |
| 5.4596 | 38.0 | 7676 | 5.7315 |
| 5.4663 | 39.0 | 7878 | 5.7315 |
| 5.4487 | 40.0 | 8080 | 5.7315 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- Created
- Dec 2, 2023
- Updated
- Apr 6, 2024