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New model from https://wandb.ai/wandb/huggingtweets/runs/atzhpnwn

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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 Zendaya.
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  | Short tweets | 806 |
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  | Tweets kept | 1657 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/5iz52kkc/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 @zendaya's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3n7g4f7n) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3n7g4f7n/artifacts) is logged and versioned.
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  ## How to use
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  | Short tweets | 806 |
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  | Tweets kept | 1657 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2i59qwps/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 @zendaya's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/atzhpnwn) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/atzhpnwn/artifacts) is logged and versioned.
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  ## How to use
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