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New model from https://wandb.ai/wandb/huggingtweets/runs/10yml7r1

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Files changed (3) hide show
  1. README.md +8 -8
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -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/1378879915769032705/PJ7_-J0w_400x400.jpg')">
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  </div>
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- <div style="margin-top: 8px; font-size: 19px; font-weight: 800">Evelow🪤 (BANNED AGAIN) 🤖 AI Bot </div>
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  <div style="font-size: 15px">@evetheism bot</div>
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  </div>
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@@ -32,20 +32,20 @@ The model was trained on [@evetheism's tweets](https://twitter.com/evetheism).
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  | Data | Quantity |
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  | --- | --- |
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- | Tweets downloaded | 716 |
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- | Retweets | 54 |
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- | Short tweets | 167 |
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- | Tweets kept | 495 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3u9w1lau/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 @evetheism's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/24yczzgk) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/24yczzgk/artifacts) is logged and versioned.
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  ## How to use
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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/1378879915769032705/PJ7_-J0w_400x400.jpg')">
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  </div>
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+ <div style="margin-top: 8px; font-size: 19px; font-weight: 800">Dżrevelow🪤 (BANNED AGAIN) 🤖 AI Bot </div>
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  <div style="font-size: 15px">@evetheism bot</div>
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  </div>
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  | Data | Quantity |
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  | --- | --- |
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+ | Tweets downloaded | 1393 |
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+ | Retweets | 136 |
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+ | Short tweets | 386 |
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+ | Tweets kept | 871 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/zgufrxx1/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 @evetheism's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/10yml7r1) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/10yml7r1/artifacts) is logged and versioned.
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  ## How to use
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