huggingtweets/

adarsh_nft-digitalartchick-themooncarl

I was made with huggingtweets.

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The model uses the following pipeline.

To understand how the model was developed, check the W&B report.

The model was trained on tweets from 0xadarsh.x & artchick.eth 🔥👠 & The Moon | Carl.

| Data | 0xadarsh.x | artchick.eth 🔥👠 | The Moon | Carl | | --- | --- | --- | --- | | Tweets downloaded | 1143 | 3242 | 3249 | | Retweets | 298 | 502 | 649 | | Short tweets | 344 | 259 | 506 | | Tweets kept | 501 | 2481 | 2094 |

Explore the data, which is tracked with W&B artifacts at every step of the pipeline.

The model is based on a pre-trained GPT-2 which is fine-tuned on @adarsh_nft-digitalartchick-themooncarl's tweets.

Hyperparameters and metrics are recorded in the W&B training run for full transparency and reproducibility.

At the end of training, the final model is logged and versioned.

You can use this model directly with a pipeline for text generation:

The model suffers from the same limitations and bias as GPT-2.

In addition, the data present in the user's tweets further affects the text generated by the model.

For more details, visit the project repository.