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BOTHALTEROUT

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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 in this country
  - text: Ball don't
  - text: This lineup

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