boris commited on
Commit
459e79f
1 Parent(s): bc17e80

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

Browse files
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/elonmusk-lexfridman/1641555308777/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -10,7 +10,7 @@ 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/1474910968157249536/FS8-70Ie_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/956331551435960322/OaqR8pAB_400x400.jpg&#39;)">
@@ -42,20 +42,20 @@ The model was trained on tweets from Elon Musk & Lex Fridman.
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  | Data | Elon Musk | Lex Fridman |
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  | --- | --- | --- |
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- | Tweets downloaded | 3250 | 1844 |
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- | Retweets | 167 | 193 |
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- | Short tweets | 923 | 22 |
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- | Tweets kept | 2160 | 1629 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/166hpou2/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-lexfridman's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/33crieuj) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/33crieuj/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/1590968738358079488/IY9Gx6Ok_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/956331551435960322/OaqR8pAB_400x400.jpg&#39;)">
 
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  | Data | Elon Musk | Lex Fridman |
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  | --- | --- | --- |
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+ | Tweets downloaded | 3198 | 2410 |
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+ | Retweets | 126 | 253 |
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+ | Short tweets | 968 | 49 |
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+ | Tweets kept | 2104 | 2108 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/18nt3c0k/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-lexfridman's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2ozchvjo) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2ozchvjo/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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  "vocab_size": 50257
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  }
 
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  }
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  },
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  "torch_dtype": "float32",
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+ "transformers_version": "4.24.0",
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  "use_cache": true,
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  "vocab_size": 50257
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  }
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