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New model from https://wandb.ai/wandb/huggingtweets/runs/z5n3i8yt

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Files changed (3) hide show
  1. README.md +9 -9
  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/elonmusk/1674977276979/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -20,7 +20,7 @@ widget:
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  </div>
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  </div>
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  <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
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- <div style="text-align: center; font-size: 16px; font-weight: 800">Mr. Tweet</div>
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  <div style="text-align: center; font-size: 14px;">@elonmusk</div>
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  </div>
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@@ -38,24 +38,24 @@ To understand how the model was developed, check the [W&B report](https://wandb.
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  ## Training data
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- The model was trained on tweets from Mr. Tweet.
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- | Data | Mr. Tweet |
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  | --- | --- |
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  | Tweets downloaded | 3194 |
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  | Retweets | 174 |
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- | Short tweets | 997 |
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- | Tweets kept | 2023 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/6g0ub3vr/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 @elonmusk's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/4tdjedpi) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/4tdjedpi/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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  </div>
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  </div>
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  <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 AI BOT 🤖</div>
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+ <div style="text-align: center; font-size: 16px; font-weight: 800">Elon Musk</div>
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  <div style="text-align: center; font-size: 14px;">@elonmusk</div>
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  </div>
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  ## Training data
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+ The model was trained on tweets from Elon Musk.
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+ | Data | Elon Musk |
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  | --- | --- |
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  | Tweets downloaded | 3194 |
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  | Retweets | 174 |
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+ | Short tweets | 1004 |
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+ | Tweets kept | 2016 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/kn1wuwc0/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 @elonmusk's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/z5n3i8yt) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/z5n3i8yt/artifacts) is logged and versioned.
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  ## How to use
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