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bert-squad-covidqa-2
hung200504/bert-squad-covidqa-2
bert-squad-covidqa-2 is a question answering model from hung200504. 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
- Oct 23, 2023
- Updated
- Oct 23, 2023
- SHA
- 32123521
Try a prompt
Base models
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-squad-covidqa-2
This model is a fine-tuned version of hung200504/bert-squadv2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0012
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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.0266 | 0.71 | 5 | 1.2542 |
| 0.3796 | 1.43 | 10 | 0.0068 |
| 0.0123 | 2.14 | 15 | 0.0018 |
| 0.0039 | 2.86 | 20 | 0.0012 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Question Answering
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Oct 23, 2023
- Updated
- Oct 23, 2023