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# Covid_Misinformation_Model

This model is a fine-tuned version of [spencer-gable-cook/COVID-19_Misinformation_Detector](https://huggingface.co/spencer-gable-cook/COVID-19_Misinformation_Detector) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1213

## 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: 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: 5

### Training results



### Framework versions

- Transformers 4.27.4
- Pytorch 1.9.0+cu111
- Datasets 2.11.0
- Tokenizers 0.12.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "spencer-gable-cook/COVID-19_Misinformation_Detector", "model-index": [{"name": "Covid_Misinformation_Model", "results": []}]}
transformers pytorch bert text-classification generated_from_trainer base_model:spencer-gable-cook/COVID-19_Misinformation_Detector license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #base_model-spencer-gable-cook/COVID-19_Misinformation_Detector #license-mit #autotrain_compatible #endpoints_compatible #region-us 




# Covid_Misinformation_Model

This model is a fine-tuned version of spencer-gable-cook/COVID-19_Misinformation_Detector on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1213

## 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: 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: 5

### Training results



### Framework versions

- Transformers 4.27.4
- Pytorch 1.9.0+cu111
- Datasets 2.11.0
- Tokenizers 0.12.1

# Covid_Misinformation_Model

This model is a fine-tuned version of spencer-gable-cook/COVID-19_Misinformation_Detector on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1213 ## 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: 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: 5 ### Training results ### Framework versions

- Transformers 4.27.4
- Pytorch 1.9.0+cu111
- Datasets 2.11.0
- Tokenizers 0.12.1
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #base_model-spencer-gable-cook/COVID-19_Misinformation_Detector #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # Covid_Misinformation_Model

This model is a fine-tuned version of spencer-gable-cook/COVID-19_Misinformation_Detector on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1213 ## 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: 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: 5 ### Training results ### Framework versions

- Transformers 4.27.4
- Pytorch 1.9.0+cu111
- Datasets 2.11.0
- Tokenizers 0.12.1
TAGS
#transformers #pytorch #bert #text-classification #generated_from_trainer #base_model-spencer-gable-cook/COVID-19_Misinformation_Detector #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# Covid_Misinformation_Model

This model is a fine-tuned version of spencer-gable-cook/COVID-19_Misinformation_Detector on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1213## 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: 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: 5### Training results### Framework versions

- Transformers 4.27.4
- Pytorch 1.9.0+cu111
- Datasets 2.11.0
- Tokenizers 0.12.1