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bert-covidqa-4
hung200504/bert-covidqa-4
bert-covidqa-4 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 cc-by-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Question Answering
- Library
- transformers
- License
- cc-by-4.0
- Model type
- bert
- Access
- Public
- Created
- Oct 23, 2023
- Updated
- Oct 23, 2023
- SHA
- 568d0423
Try a prompt
Base models
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-covidqa-4
This model is a fine-tuned version of hung200504/bert-covidqa-3 on the covid_qa_deepset dataset. It achieves the following results on the evaluation set:
- Loss: 0.4380
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: 3e-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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4937 | 0.04 | 5 | 0.4384 |
| 0.2678 | 0.09 | 10 | 0.4334 |
| 0.4938 | 0.13 | 15 | 0.4269 |
| 0.2227 | 0.18 | 20 | 0.4598 |
| 0.1708 | 0.22 | 25 | 0.4827 |
| 0.1605 | 0.26 | 30 | 0.5107 |
| 0.4913 | 0.31 | 35 | 0.5024 |
| 0.3042 | 0.35 | 40 | 0.4838 |
| 0.6595 | 0.39 | 45 | 0.4559 |
| 0.4116 | 0.44 | 50 | 0.4385 |
| 0.1758 | 0.48 | 55 | 0.4387 |
| 0.4278 | 0.53 | 60 | 0.4403 |
| 0.3984 | 0.57 | 65 | 0.4300 |
| 0.3893 | 0.61 | 70 | 0.4201 |
| 0.2478 | 0.66 | 75 | 0.4241 |
| 0.2724 | 0.7 | 80 | 0.4258 |
| 0.2483 | 0.75 | 85 | 0.4236 |
| 0.1039 | 0.79 | 90 | 0.4286 |
| 0.2723 | 0.83 | 95 | 0.4344 |
| 0.3411 | 0.88 | 100 | 0.4367 |
| 0.1883 | 0.92 | 105 | 0.4375 |
| 0.5123 | 0.96 | 110 | 0.4380 |
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
- cc-by-4.0
- Created
- Oct 23, 2023
- Updated
- Oct 23, 2023