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New model from https://wandb.ai/wandb/huggingtweets/runs/21uoj3t0

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  1. README.md +11 -11
  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: https://www.huggingtweets.com/elonmusk/1624126070706/predictions.png
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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, the 2nd</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 Elon Musk, the 2nd.
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- | Data | Elon Musk, the 2nd |
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  | --- | --- |
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- | Tweets downloaded | 3020 |
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- | Retweets | 188 |
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- | Short tweets | 757 |
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- | Tweets kept | 2075 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/48x4dybo/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/1uv0agi0) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1uv0agi0/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 | 1622 |
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+ | Retweets | 97 |
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+ | Short tweets | 427 |
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+ | Tweets kept | 1098 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1wg439h3/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/21uoj3t0) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/21uoj3t0/artifacts) is logged and versioned.
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  ## How to use
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