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New model from https://wandb.ai/wandb/huggingtweets/runs/6tzpqsrk

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Files changed (3) hide show
  1. README.md +23 -13
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -1,17 +1,27 @@
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  ---
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  language: en
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- thumbnail: https://www.huggingtweets.com/elonmusk/1620427781548/predictions.png
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  tags:
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  - huggingtweets
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  widget:
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  - text: "My dream is"
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  ---
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- <div>
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- <div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1383184766959120385/MM9DHPWC_400x400.jpg')">
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- </div>
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- <div style="margin-top: 8px; font-size: 19px; font-weight: 800">Elon Musk 🤖 AI Bot </div>
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- <div style="font-size: 15px">@elonmusk bot</div>
 
 
 
 
 
 
 
 
 
 
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  </div>
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  I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
@@ -28,24 +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 [@elonmusk's tweets](https://twitter.com/elonmusk).
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- | Data | Quantity |
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  | --- | --- |
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  | Tweets downloaded | 3249 |
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- | Retweets | 212 |
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  | Short tweets | 799 |
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- | Tweets kept | 2238 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3awmzof5/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/30s7dww8) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/30s7dww8/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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  - text: "My dream is"
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  ---
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+ <div class="inline-flex flex-col" style="line-height: 1.5;">
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+ <div class="flex">
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+ <div
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+ style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1383184766959120385/MM9DHPWC_400x400.jpg&#39;)">
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+ </div>
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+ <div
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+ style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
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+ </div>
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+ <div
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+ style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
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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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  I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
 
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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 | 3249 |
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+ | Retweets | 211 |
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  | Short tweets | 799 |
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+ | Tweets kept | 2239 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2jj9wxfa/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/6tzpqsrk) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/6tzpqsrk/artifacts) is logged and versioned.
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  ## How to use
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