boris commited on
Commit
5c6059e
1 Parent(s): cdf1457

New model from https://wandb.ai/wandb/huggingtweets/runs/no8iew6j

Browse files

README.md CHANGED
@@ -1,17 +1,27 @@
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  ---
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  language: en
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- thumbnail: https://www.huggingtweets.com/domonic_m/1614065648307/predictions.png
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  tags:
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  - huggingtweets
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  widget:
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  - text: "My dream is"
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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/1146161910448054273/b1HpVczo_400x400.png')">
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- </div>
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- <div style="margin-top: 8px; font-size: 19px; font-weight: 800">Domonic 🤖 AI Bot </div>
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- <div style="font-size: 15px">@domonic_m bot</div>
 
 
 
 
 
 
 
 
 
 
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  </div>
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  I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
@@ -24,28 +34,28 @@ The model uses the following pipeline.
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  ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
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- To understand how the model was developed, check the [W&B report](https://app.wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-model-to-generate-tweets--VmlldzoxMTY5MjI).
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  ## Training data
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- The model was trained on [@domonic_m's tweets](https://twitter.com/domonic_m).
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- | Data | Quantity |
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  | --- | --- |
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- | Tweets downloaded | 387 |
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- | Retweets | 61 |
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- | Short tweets | 50 |
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- | Tweets kept | 276 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/110suyx0/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 @domonic_m's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2do1thkt) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2do1thkt/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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  - text: "My dream is"
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  ---
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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/1146161910448054273/b1HpVczo_400x400.png&#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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+ 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 BOT 🤖</div>
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+ <div style="text-align: center; font-size: 16px; font-weight: 800">Domonic</div>
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+ <div style="text-align: center; font-size: 14px;">@domonic_m</div>
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  </div>
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  I was made with [huggingtweets](https://github.com/borisdayma/huggingtweets).
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  ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
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+ To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
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  ## Training data
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+ The model was trained on tweets from Domonic.
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+ | Data | Domonic |
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  | --- | --- |
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+ | Tweets downloaded | 502 |
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+ | Retweets | 70 |
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+ | Short tweets | 69 |
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+ | Tweets kept | 363 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1q7f1cu6/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 @domonic_m's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/no8iew6j) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/no8iew6j/artifacts) is logged and versioned.
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  ## How to use
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config.json CHANGED
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  }
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  "summary_proj_to_labels": true,
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  "top_p": 0.95
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