---
base_model: phiyodr/bert-base-finetuned-squad2
tags:
- generated_from_trainer
datasets:
- covid_qa_deepset
model-index:
- name: bert-covidqa
  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

This model is a fine-tuned version of [phiyodr/bert-base-finetuned-squad2](https://huggingface.co/phiyodr/bert-base-finetuned-squad2) on the covid_qa_deepset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6451

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5829        | 0.04  | 5    | 1.0001          |
| 0.7899        | 0.09  | 10   | 0.7849          |
| 0.5929        | 0.13  | 15   | 0.7851          |
| 0.691         | 0.18  | 20   | 0.7549          |
| 0.6383        | 0.22  | 25   | 0.7199          |
| 0.3216        | 0.26  | 30   | 0.7625          |
| 0.3273        | 0.31  | 35   | 0.8644          |
| 0.5909        | 0.35  | 40   | 0.7117          |
| 0.2556        | 0.39  | 45   | 0.6681          |
| 0.6896        | 0.44  | 50   | 0.7138          |
| 0.6066        | 0.48  | 55   | 0.6614          |
| 0.2602        | 0.53  | 60   | 0.6791          |
| 0.4034        | 0.57  | 65   | 0.7168          |
| 0.5511        | 0.61  | 70   | 0.7783          |
| 0.6313        | 0.66  | 75   | 0.7269          |
| 0.261         | 0.7   | 80   | 0.7106          |
| 0.4904        | 0.75  | 85   | 0.6735          |
| 0.4706        | 0.79  | 90   | 0.6370          |
| 0.4174        | 0.83  | 95   | 0.6355          |
| 0.3762        | 0.88  | 100  | 0.6356          |
| 0.5128        | 0.92  | 105  | 0.6429          |
| 0.553         | 0.96  | 110  | 0.6451          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1