boris commited on
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New model from https://wandb.ai/wandb/huggingtweets/runs/2shtkah0

Browse files
Files changed (4) hide show
  1. README.md +9 -9
  2. config.json +1 -1
  3. pytorch_model.bin +2 -2
  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/elonmusk/1614099981658/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/1363228426094538754/3ncXqbh-_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>
@@ -32,20 +32,20 @@ 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 | 3215 |
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- | Retweets | 207 |
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- | Short tweets | 802 |
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- | Tweets kept | 2206 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/6qsui8nh/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/38e0uui8) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/38e0uui8/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/1364491704817098753/V22-Luf7_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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  | Data | Quantity |
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  | --- | --- |
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+ | Tweets downloaded | 3229 |
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+ | Retweets | 208 |
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+ | Short tweets | 806 |
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+ | Tweets kept | 2215 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2me8urj9/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/2shtkah0) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2shtkah0/artifacts) is logged and versioned.
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  ## How to use
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config.json CHANGED
@@ -34,7 +34,7 @@
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  "top_p": 0.95
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  }
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  },
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- "transformers_version": "4.3.2",
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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": "4.3.3",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
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