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quora-reddit

Text Generation
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PyTorch
English
gpt2
huggingtweets
text-generation-inference
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boris commited on
Commit
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1 Parent(s): 6cca6a6

New model from https://wandb.ai/wandb/huggingtweets/runs/2g51clcs

Browse files
Files changed (3) hide show
  1. README.md +13 -13
  2. pytorch_model.bin +1 -1
  3. 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: http://www.huggingtweets.com/quora-reddit/1654178133752/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -10,17 +10,17 @@ widget:
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  <div class="inline-flex flex-col" style="line-height: 1.5;">
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  <div class="flex">
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  <div
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- style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1333471260483801089/OtTAJXEZ_400x400.jpg&#39;)">
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  </div>
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  <div
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- style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1532031893318737920/N4nwSAZv_400x400.jpg&#39;)">
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  </div>
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  <div
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  style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
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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 CYBORG 🤖</div>
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- <div style="text-align: center; font-size: 16px; font-weight: 800">Reddit & Quora</div>
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  <div style="text-align: center; font-size: 14px;">@quora-reddit</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 Reddit & Quora.
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- | Data | Reddit | Quora |
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  | --- | --- | --- |
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- | Tweets downloaded | 3248 | 3245 |
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- | Retweets | 331 | 182 |
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- | Short tweets | 393 | 21 |
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- | Tweets kept | 2524 | 3042 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3lwe48rk/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 @quora-reddit's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/pmi1n1yb) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/pmi1n1yb/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 class="inline-flex flex-col" style="line-height: 1.5;">
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  <div class="flex">
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  <div
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+ style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1532031893318737920/N4nwSAZv_400x400.jpg&#39;)">
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  </div>
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  <div
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+ style="display:inherit; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;https://pbs.twimg.com/profile_images/1333471260483801089/OtTAJXEZ_400x400.jpg&#39;)">
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  </div>
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  <div
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  style="display:none; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;&#39;)">
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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 CYBORG 🤖</div>
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+ <div style="text-align: center; font-size: 16px; font-weight: 800">Quora & Reddit</div>
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  <div style="text-align: center; font-size: 14px;">@quora-reddit</div>
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  </div>
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  ## Training data
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+ The model was trained on tweets from Quora & Reddit.
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+ | Data | Quora | Reddit |
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  | --- | --- | --- |
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+ | Tweets downloaded | 3244 | 3248 |
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+ | Retweets | 181 | 331 |
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+ | Short tweets | 22 | 392 |
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+ | Tweets kept | 3041 | 2525 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/12sw605d/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 @quora-reddit's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2g51clcs) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2g51clcs/artifacts) is logged and versioned.
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  ## How to use
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