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XLMRoberta-finetuned-TyDIQA
Auracle7/XLMRoberta-finetuned-TyDIQA
XLMRoberta-finetuned-TyDIQA is a question answering model from Auracle7. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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Repo size
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-4.0
- Model type
- xlm-roberta
- Access
- Public
- Created
- Jul 18, 2023
- Updated
- Jul 18, 2023
- SHA
- 675959ce
Try a prompt
Datasets
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. -->
XLMRoberta-finetuned-TyDIQA
This model is a fine-tuned version of deepset/roberta-base-squad2 on the xtreme dataset.
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Question Answering
- Library
- transformers
- Type
- xlm-roberta
- License
- cc-by-4.0
- Created
- Jul 18, 2023
- Updated
- Jul 18, 2023