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bert-medium-pretrained-finetuned-squad
anas-awadalla/bert-medium-pretrained-finetuned-squad
bert-medium-pretrained-finetuned-squad is a question answering model from anas-awadalla. 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
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jan 27, 2022
- SHA
- 9cfffda5
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_medium_pretrain_squad
This model is a fine-tuned version of anas-awadalla/bert-medium-pretrained-on-squad on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 0.0973
- "exact_match": 77.95648060548723
- "f1": 85.85300366384631
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: 5e-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: 3.0
Training results
Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.17.0
- Tokenizers 0.10.3
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Mar 2, 2022
- Updated
- Jan 27, 2022