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sapbert-from-pubmedbert-squad2
bigwiz83/sapbert-from-pubmedbert-squad2
sapbert-from-pubmedbert-squad2 is a question answering model from bigwiz83. 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
- Mar 2, 2022
- Updated
- Jul 2, 2021
- SHA
- 5a14b59b
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. -->
sapbert-from-pubmedbert-squad2
This model is a fine-tuned version of cambridgeltl/SapBERT-from-PubMedBERT-fulltext on the squad_v2 dataset. It achieves the following results on the evaluation set:
- Loss: 1.2582
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.035 | 1.0 | 8298 | 0.9545 |
| 0.8053 | 2.0 | 16596 | 0.9988 |
| 0.5949 | 3.0 | 24894 | 0.9909 |
| 0.4878 | 4.0 | 33192 | 1.1428 |
| 0.3932 | 5.0 | 41490 | 1.2582 |
Framework versions
- Transformers 4.7.0
- Pytorch 1.8.0
- Datasets 1.4.1
- Tokenizers 0.10.2
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- Created
- Mar 2, 2022
- Updated
- Jul 2, 2021