

# fakeBert

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on a [news dataset](https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset) from Kaggle.

## Model description

Fine-tuning Bert for text classification.

## Training and evaluation data

Training & Validation: [Fake and real news dataset](https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset)
Testing: [Fake News Detection Challenge KDD 2020](https://www.kaggle.com/competitions/fakenewskdd2020/overview)

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-5
- train_batch_size: 16
- eval_batch_size: 16
- optimizer: AdamW

{"license": "mit", "tags": ["text-classification", "PyTorch", "Transformers"]}
text-classification PyTorch Transformers license:mit region:us
TAGS
#text-classification #PyTorch #Transformers #license-mit #region-us 



# fakeBert

This model is a fine-tuned version of bert-base-uncased on a news dataset from Kaggle.

## Model description

Fine-tuning Bert for text classification.

## Training and evaluation data

Training & Validation: Fake and real news dataset
Testing: Fake News Detection Challenge KDD 2020

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-5
- train_batch_size: 16
- eval_batch_size: 16
- optimizer: AdamW

# fakeBert

This model is a fine-tuned version of bert-base-uncased on a news dataset from Kaggle. ## Model description

Fine-tuning Bert for text classification. ## Training and evaluation data

Training & Validation: Fake and real news dataset
Testing: Fake News Detection Challenge KDD 2020 ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-5
- train_batch_size: 16
- eval_batch_size: 16
- optimizer: AdamW
TAGS
#text-classification #PyTorch #Transformers #license-mit #region-us 
 # fakeBert

This model is a fine-tuned version of bert-base-uncased on a news dataset from Kaggle. ## Model description

Fine-tuning Bert for text classification. ## Training and evaluation data

Training & Validation: Fake and real news dataset
Testing: Fake News Detection Challenge KDD 2020 ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-5
- train_batch_size: 16
- eval_batch_size: 16
- optimizer: AdamW
passage: TAGS
#text-classification #PyTorch #Transformers #license-mit #region-us 
# fakeBert

This model is a fine-tuned version of bert-base-uncased on a news dataset from Kaggle.## Model description

Fine-tuning Bert for text classification.## Training and evaluation data

Training & Validation: Fake and real news dataset
Testing: Fake News Detection Challenge KDD 2020### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-5
- train_batch_size: 16
- eval_batch_size: 16
- optimizer: AdamW