
# BOTHALTEROUT

This model is a fine-tuned version of [GPT-2](https://huggingface.co/gpt2) using 21,832 tweets from 12 twitter users with very strong opinions about the United States Men's National Team.

## Limitations and bias

The model has all [the same limitations and bias as GPT-2](https://huggingface.co/gpt2#limitations-and-bias).

Additionally, BOTHALTEROUT can create some problematic results based upon the tweets used to generate the model.


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001372
- train_batch_size: 1
- 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



### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1

## About

*Built by [Eliot McKinley](https://twitter.com/etmckinley) based upon [HuggingTweets](https://colab.research.google.com/github/borisdayma/huggingtweets/blob/master/huggingtweets-demo.ipynb) by Boris Dayama*

{"license": "mit", "widget": [{"text": "Gregg Berhalter"}, {"text": "The USMNT won't win the World Cup"}, {"text": "The Soccer Media in this country"}, {"text": "Ball don't"}, {"text": "This lineup"}], "model-index": [{"name": "BERFALTER", "results": []}]}
transformers pytorch tensorboard gpt2 text-generation license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 


# BOTHALTEROUT

This model is a fine-tuned version of GPT-2 using 21,832 tweets from 12 twitter users with very strong opinions about the United States Men's National Team.

## Limitations and bias

The model has all the same limitations and bias as GPT-2.

Additionally, BOTHALTEROUT can create some problematic results based upon the tweets used to generate the model.


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001372
- train_batch_size: 1
- 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



### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1

## About

*Built by Eliot McKinley based upon HuggingTweets by Boris Dayama*

# BOTHALTEROUT

This model is a fine-tuned version of GPT-2 using 21,832 tweets from 12 twitter users with very strong opinions about the United States Men's National Team. ## Limitations and bias

The model has all the same limitations and bias as GPT-2.

Additionally, BOTHALTEROUT can create some problematic results based upon the tweets used to generate the model. ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001372
- train_batch_size: 1
- 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 ### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1 ## About

*Built by Eliot McKinley based upon HuggingTweets by Boris Dayama*
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # BOTHALTEROUT

This model is a fine-tuned version of GPT-2 using 21,832 tweets from 12 twitter users with very strong opinions about the United States Men's National Team. ## Limitations and bias

The model has all the same limitations and bias as GPT-2.

Additionally, BOTHALTEROUT can create some problematic results based upon the tweets used to generate the model. ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001372
- train_batch_size: 1
- 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 ### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1 ## About

*Built by Eliot McKinley based upon HuggingTweets by Boris Dayama*
passage: TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# BOTHALTEROUT

This model is a fine-tuned version of GPT-2 using 21,832 tweets from 12 twitter users with very strong opinions about the United States Men's National Team.## Limitations and bias

The model has all the same limitations and bias as GPT-2.

Additionally, BOTHALTEROUT can create some problematic results based upon the tweets used to generate the model.### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001372
- train_batch_size: 1
- 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### Framework versions

- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1## About

*Built by Eliot McKinley based upon HuggingTweets by Boris Dayama*