---
license: cc-by-4.0
base_model: hung200504/bert-covidqa-3
tags:
- generated_from_trainer
datasets:
- covid_qa_deepset
model-index:
- name: bert-covidqa-4
  results: []
---

<!-- 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](https://huggingface.co/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