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@@ -68,15 +68,15 @@ The model was trained on [@vanpelt's tweets](https://twitter.com/vanpelt).
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- [Explore the data](https://app.wandb.ai/wandb/huggingtweets-dev/runs/21ys4njh/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 @vanpelt's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets-dev/runs/298q7prv) for full transparency and reproducibility.
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- At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets-dev/runs/298q7prv/artifacts) is logged and versioned.
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  ## Intended uses & limitations
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+ [Explore the data](https://app.wandb.ai/wandb/huggingtweets-dev/runs/3cmt1m25/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 @vanpelt's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets-dev/runs/1rqmc3ox) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets-dev/runs/1rqmc3ox/artifacts) is logged and versioned.
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  ## Intended uses & limitations
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