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bert-base-multilingual-uncased-finetuned-squadv2
monakth/bert-base-multilingual-uncased-finetuned-squadv2
bert-base-multilingual-uncased-finetuned-squadv2 is a question answering model from monakth. 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
- bert
- Access
- Public
- Created
- Nov 14, 2022
- Updated
- Nov 14, 2022
- SHA
- 627281a6
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. -->
bert-base-multilingual-uncased-finetuned-squad-squadv1
This model was trained from scratch on the squad_v2 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Nov 14, 2022
- Updated
- Nov 14, 2022