huggingtweets/lowqualitybot

The model is based on a pre-trained GPT-2 which is fine-tuned on @lowqualitybot's tweets . Hyperparameters and metrics are recorded in the W&B training run for full transparency and reproducibility . The model suffers from the same limitations and bias as the model . The data present in the user's tweets further affects the text generated by the model. The model uses the following pipeline. You can use this model directly with a pipeline for text generation. The final model is logged and versioned at the end of training. The data is tracked with WandB artifacts at every step of the pipeline. For more details, please visit the project repository.,