boris commited on
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New model from https://wandb.ai/wandb/huggingtweets/runs/23b9ala1

Browse files
Files changed (4) hide show
  1. README.md +9 -9
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  language: en
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- thumbnail: https://www.huggingtweets.com/titusoneeeeil/1618243983479/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -8,7 +8,7 @@ widget:
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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/1380678564383719424/rSaVZmMn_400x400.jpg')">
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  </div>
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  <div style="margin-top: 8px; font-size: 19px; font-weight: 800">Tart Sophistry 🤖 AI Bot </div>
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  <div style="font-size: 15px">@titusoneeeeil bot</div>
@@ -32,20 +32,20 @@ The model was trained on [@titusoneeeeil's tweets](https://twitter.com/titusonee
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  | Data | Quantity |
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  | --- | --- |
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- | Tweets downloaded | 277 |
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- | Retweets | 23 |
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- | Short tweets | 35 |
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- | Tweets kept | 219 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/29eqe1ua/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 @titusoneeeeil's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2gd7m1fu) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2gd7m1fu/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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  ---
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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/1381694077788422147/gxj1pLW2_400x400.jpg')">
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  </div>
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  <div style="margin-top: 8px; font-size: 19px; font-weight: 800">Tart Sophistry 🤖 AI Bot </div>
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  <div style="font-size: 15px">@titusoneeeeil bot</div>
 
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  | Data | Quantity |
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  | --- | --- |
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+ | Tweets downloaded | 338 |
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+ | Retweets | 32 |
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+ | Short tweets | 43 |
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+ | Tweets kept | 263 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/4hpwbrd2/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 @titusoneeeeil's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/23b9ala1) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/23b9ala1/artifacts) is logged and versioned.
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  ## How to use
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config.json CHANGED
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  "top_p": 0.95
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  }
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  },
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- "transformers_version": "4.5.0",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
 
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  "top_p": 0.95
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  }
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  },
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+ "transformers_version": "4.5.1",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
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