---
base_model: bert-base-chinese
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Misinformation-Covid-bert-base-chinese
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Misinformation-Covid-bert-base-chinese

This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6859
- F1: 0.3191

## 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-06
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6995        | 1.0   | 201  | 0.6661          | 0.0417 |
| 0.6843        | 2.0   | 402  | 0.6824          | 0.2745 |
| 0.665         | 3.0   | 603  | 0.6240          | 0.3306 |
| 0.6208        | 4.0   | 804  | 0.6211          | 0.3141 |
| 0.5939        | 5.0   | 1005 | 0.6095          | 0.3231 |
| 0.6094        | 6.0   | 1206 | 0.6216          | 0.3276 |
| 0.5177        | 7.0   | 1407 | 0.6437          | 0.3333 |
| 0.5092        | 8.0   | 1608 | 0.6585          | 0.3519 |
| 0.4781        | 9.0   | 1809 | 0.6867          | 0.3333 |
| 0.4706        | 10.0  | 2010 | 0.6859          | 0.3191 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.12.0
- Tokenizers 0.13.3