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---
tags:
- generated_from_trainer
widget:
- text: What is COVID-19?
context: Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The first known case was
identified in Wuhan, China, in December 2019.[7] The disease has since spread
worldwide, leading to an ongoing pandemic.
- text: Where was COVID-19 first discovered?
context: The first known infections from SARS-CoV-2 were discovered in Wuhan, China.
The original source of viral transmission to humans remains unclear, as does whether
the virus became pathogenic before or after the spillover event.
- text: What is Post-COVID syndrome?
context: Long COVID, also known as post-COVID-19 syndrome, post-acute sequelae of
COVID-19 (PASC), or chronic COVID syndrome (CCS) is a condition characterized
by long-term sequelae appearing or persisting after the typical convalescence
period of COVID-19. Long COVID can affect nearly every organ system, with sequelae
including respiratory system disorders, nervous system and neurocognitive disorders,
mental health disorders, metabolic disorders, cardiovascular disorders, gastrointestinal
disorders, malaise, fatigue, musculoskeletal pain, and anemia. A wide range of
symptoms are commonly reported, including fatigue, headaches, shortness of breath,
anosmia (loss of smell), parosmia (distorted smell), muscle weakness, low fever
and cognitive dysfunction.
base_model: microsoft/mpnet-base
---
# covid_qa_mpnet
This model is a fine-tuned version of [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) on our COVID-19 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1352
## 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: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2477 | 1.0 | 3895 | 0.1869 |
| 0.1838 | 2.0 | 7790 | 0.1352 |
### Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3
|