---
license: mit
base_model: hung200504/bert-squadv2
tags:
- generated_from_trainer
model-index:
- name: bert-covid-21
  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-covid-21

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: 0.6103

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.2561        | 0.03  | 5    | 1.1801          |
| 1.1175        | 0.06  | 10   | 0.9406          |
| 1.2258        | 0.08  | 15   | 0.7456          |
| 0.8306        | 0.11  | 20   | 0.5948          |
| 0.5743        | 0.14  | 25   | 0.5835          |
| 0.4958        | 0.17  | 30   | 0.7125          |
| 0.4448        | 0.2   | 35   | 0.6664          |
| 0.8538        | 0.22  | 40   | 0.7098          |
| 0.8115        | 0.25  | 45   | 0.6869          |
| 0.9364        | 0.28  | 50   | 0.5814          |
| 1.0413        | 0.31  | 55   | 0.5434          |
| 0.7219        | 0.34  | 60   | 0.5274          |
| 0.6852        | 0.37  | 65   | 0.5764          |
| 0.4603        | 0.39  | 70   | 0.6586          |
| 0.8428        | 0.42  | 75   | 0.7742          |
| 0.3679        | 0.45  | 80   | 0.7430          |
| 1.0074        | 0.48  | 85   | 0.6630          |
| 0.8531        | 0.51  | 90   | 0.5403          |
| 0.4513        | 0.53  | 95   | 0.5452          |
| 0.3039        | 0.56  | 100  | 0.6193          |
| 1.7221        | 0.59  | 105  | 0.6734          |
| 0.8286        | 0.62  | 110  | 0.5892          |
| 0.6836        | 0.65  | 115  | 0.5413          |
| 0.2059        | 0.67  | 120  | 0.5407          |
| 0.8272        | 0.7   | 125  | 0.5446          |
| 0.3456        | 0.73  | 130  | 0.5652          |
| 1.1423        | 0.76  | 135  | 0.5697          |
| 0.2456        | 0.79  | 140  | 0.5737          |
| 0.7639        | 0.81  | 145  | 0.5767          |
| 0.5946        | 0.84  | 150  | 0.5565          |
| 0.0976        | 0.87  | 155  | 0.5857          |
| 0.3246        | 0.9   | 160  | 0.6162          |
| 1.039         | 0.93  | 165  | 0.6297          |
| 0.6297        | 0.96  | 170  | 0.6217          |
| 1.1724        | 0.98  | 175  | 0.6103          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1