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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # xlm-roberta-base-squad2-finetuned-squad
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- This model is a fine-tuned version of [deepset/xlm-roberta-base-squad2](https://huggingface.co/deepset/xlm-roberta-base-squad2) on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.0899
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-
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- ## Model description
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-
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- More information needed
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  ## Intended uses & limitations
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- More information needed
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  - lr_scheduler_type: linear
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  - num_epochs: 2
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 1.1348 | 1.0 | 1683 | 0.9778 |
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- | 0.7269 | 2.0 | 3366 | 1.0899 |
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-
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  ### Framework versions
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # thai-squad
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+ This model is a fine-tuned version of [deepset/xlm-roberta-base-squad2](https://huggingface.co/deepset/xlm-roberta-base-squad2) on Thai dataset from [iApp Technology Co., Ltd.](https://github.com/iapp-technology/iapp-wiki-qa-dataset).
 
 
 
 
 
 
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  ## Intended uses & limitations
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+ This model intends to use with Thai question and answering task
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  ## Training and evaluation data
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+ Trained and evaluated by [iApp Technology Co., Ltd.](https://github.com/iapp-technology/iapp-wiki-qa-dataset) dataset.
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  ## Training procedure
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  - lr_scheduler_type: linear
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  - num_epochs: 2
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+ ## Performance
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+ Evaluated on the SQuAD 1.0 test dataset
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+ ```
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+ "exact": 62.51728907330567
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+ "f1": 73.62388955749958
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+ "total": 723
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+ ```
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  ### Framework versions
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