metadata

license: mit
tags: null
model-index:
  - name: BERFALTER
    results: []
widget:
  - text: Gregg Berhalter
  - text: The USMNT won't win the World Cup
  - text: The Soccer Media
  - text: Ball don't

BERHALTER

This model is a fine-tuned version of 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.

Additionally, BERFALTER 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