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QA_model
Oleksandr2003/QA_model
QA_model is a question answering model from Oleksandr2003. 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
- xlm-roberta
- Access
- Public
- Created
- Jan 29, 2023
- Updated
- Apr 26, 2023
- SHA
- dba2354d
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_model
This model is a fine-tuned version of ukr-models/xlm-roberta-base-uk on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3340
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4719 | 1.0 | 620 | 1.3108 |
| 1.4047 | 2.0 | 1240 | 1.1630 |
| 1.1245 | 3.0 | 1860 | 1.1429 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jan 29, 2023
- Updated
- Apr 26, 2023