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New model from https://wandb.ai/wandb/huggingtweets/runs/3ho490ya

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  1. README.md +4 -4
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
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  ---
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  language: en
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- thumbnail: http://www.huggingtweets.com/vitamoonshadow/1660370071755/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -47,15 +47,15 @@ The model was trained on tweets from Vita!.
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  | Short tweets | 127 |
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  | Tweets kept | 277 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2rns53gt/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 @vitamoonshadow's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1r3mcq0k) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1r3mcq0k/artifacts) is logged and versioned.
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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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  | Short tweets | 127 |
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  | Tweets kept | 277 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/fw7s13qi/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 @vitamoonshadow's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3ho490ya) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3ho490ya/artifacts) is logged and versioned.
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  ## How to use
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