---
license: mit
base_model: hung200504/bert-squadv2
tags:
- generated_from_trainer
model-index:
- name: bert-squad-covidqa-2
  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-squad-covidqa-2

This model is a fine-tuned version of [hung200504/bert-squadv2](https://huggingface.co/hung200504/bert-squadv2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0012

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.0266        | 0.71  | 5    | 1.2542          |
| 0.3796        | 1.43  | 10   | 0.0068          |
| 0.0123        | 2.14  | 15   | 0.0018          |
| 0.0039        | 2.86  | 20   | 0.0012          |


### Framework versions

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