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@@ -68,15 +68,15 @@ The model was trained on [@david_rccv's tweets](https://twitter.com/david_rccv).
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[Explore the data](https://app.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 @david_rccv's tweets.
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Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/
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At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/
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## Intended uses & limitations
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[](https://github.com/borisdayma/huggingtweets)
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[Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/2u4p05g9/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 @david_rccv's tweets.
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Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/2njpujl0) for full transparency and reproducibility.
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At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/2njpujl0/artifacts) is logged and versioned.
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## Intended uses & limitations
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[](https://github.com/borisdayma/huggingtweets)
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