New model from https://wandb.ai/wandb/huggingtweets/runs/3vu1xk0k
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        README.md
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            ---
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            language: en
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            thumbnail: https:// | 
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            tags:
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            - huggingtweets
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            widget:
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            | Data | Quantity |
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            | Tweets downloaded |  | 
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            | Retweets |  | 
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            | Short tweets |  | 
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            | Tweets kept |  | 
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            [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/ | 
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            ## Training procedure
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            The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @hunny6ee's tweets.
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            Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/ | 
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            At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/ | 
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            ## How to use
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            ---
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            language: en
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            thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
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            tags:
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            - huggingtweets
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            widget:
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            | Data | Quantity |
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            | --- | --- |
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            | Tweets downloaded | 2965 |
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            | Retweets | 1787 |
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            | Short tweets | 219 |
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            | Tweets kept | 959 |
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            [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/26si8hd1/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
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            ## Training procedure
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            The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @hunny6ee's tweets.
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            Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3vu1xk0k) for full transparency and reproducibility.
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            At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3vu1xk0k/artifacts) is logged and versioned.
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            ## How to use
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