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New model from https://wandb.ai/wandb/huggingtweets/runs/2oh4eeyp

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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: https://www.huggingtweets.com/dudeswatcheva/1614116886676/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -10,7 +10,7 @@ widget:
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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/1363154857042071557/Vhr-cXl__400x400.jpg')">
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  </div>
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- <div style="margin-top: 8px; font-size: 19px; font-weight: 800">jum 🤖 AI Bot </div>
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  <div style="font-size: 15px">@dudeswatcheva bot</div>
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  </div>
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@@ -32,20 +32,20 @@ The model was trained on [@dudeswatcheva's tweets](https://twitter.com/dudeswatc
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  | Data | Quantity |
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  | --- | --- |
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- | Tweets downloaded | 3166 |
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- | Retweets | 685 |
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- | Short tweets | 666 |
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- | Tweets kept | 1815 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2m89vr8v/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 @dudeswatcheva's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1wjxcxde) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1wjxcxde/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 style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1363154857042071557/Vhr-cXl__400x400.jpg')">
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  </div>
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+ <div style="margin-top: 8px; font-size: 19px; font-weight: 800">jumbudrif 🤖 AI Bot </div>
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  <div style="font-size: 15px">@dudeswatcheva bot</div>
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  </div>
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  | Data | Quantity |
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  | --- | --- |
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+ | Tweets downloaded | 3169 |
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+ | Retweets | 691 |
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+ | Short tweets | 670 |
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+ | Tweets kept | 1808 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3pxmaagu/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 @dudeswatcheva's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2oh4eeyp) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2oh4eeyp/artifacts) is logged and versioned.
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  ## How to use
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