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bert-base-multilingual-cased-finetuned-squad
Paul-Vinh/bert-base-multilingual-cased-finetuned-squad
bert-base-multilingual-cased-finetuned-squad is a question answering model from Paul-Vinh. Use it when the input is a question plus a passage. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Mar 24, 2022
- Updated
- Mar 24, 2022
- SHA
- 8436b2ee
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-cased-finetuned-squad
This model is a fine-tuned version of bert-base-multilingual-cased on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.0122
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 |
|---|---|---|---|
| 0.9982 | 1.0 | 5555 | 0.9436 |
| 0.7694 | 2.0 | 11110 | 0.9356 |
| 0.5627 | 3.0 | 16665 | 1.0122 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Mar 24, 2022
- Updated
- Mar 24, 2022