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New model from https://wandb.ai/wandb/huggingtweets/runs/3qs9dfef

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  1. README.md +3 -3
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -47,15 +47,15 @@ The model was trained on tweets from Boris Dayma 🖍️.
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  | Short tweets | 42 |
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  | Tweets kept | 1183 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/320p27cm/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 @borisdayma's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3dnaex4j) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3dnaex4j/artifacts) is logged and versioned.
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  ## How to use
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  | Short tweets | 42 |
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  | Tweets kept | 1183 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/tlbliehz/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 @borisdayma's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3qs9dfef) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3qs9dfef/artifacts) is logged and versioned.
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  ## How to use
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