---
license: cc-by-4.0
base_model: deepset/bert-base-cased-squad2
tags:
- generated_from_trainer
datasets:
- covid_qa_deepset
model-index:
- name: bert-covidqa-1
  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-1

This model is a fine-tuned version of [deepset/bert-base-cased-squad2](https://huggingface.co/deepset/bert-base-cased-squad2) on the covid_qa_deepset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4528

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0353        | 0.04  | 5    | 0.7327          |
| 1.1116        | 0.09  | 10   | 0.5674          |
| 0.8086        | 0.13  | 15   | 0.5025          |
| 0.814         | 0.18  | 20   | 0.5620          |
| 0.4168        | 0.22  | 25   | 0.6628          |
| 0.7069        | 0.26  | 30   | 0.5637          |
| 0.4168        | 0.31  | 35   | 0.4855          |
| 0.5636        | 0.35  | 40   | 0.4708          |
| 0.398         | 0.39  | 45   | 0.4712          |
| 0.4681        | 0.44  | 50   | 0.5235          |
| 0.34          | 0.48  | 55   | 0.5863          |
| 0.2484        | 0.53  | 60   | 0.6422          |
| 0.4526        | 0.57  | 65   | 0.6614          |
| 0.2941        | 0.61  | 70   | 0.6210          |
| 0.7383        | 0.66  | 75   | 0.5334          |
| 0.7337        | 0.7   | 80   | 0.4612          |
| 0.4082        | 0.75  | 85   | 0.4447          |
| 0.3517        | 0.79  | 90   | 0.4429          |
| 0.341         | 0.83  | 95   | 0.4446          |
| 0.2751        | 0.88  | 100  | 0.4536          |
| 0.4916        | 0.92  | 105  | 0.4566          |
| 0.4895        | 0.96  | 110  | 0.4528          |


### Framework versions

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