boris commited on
Commit
c1815ed
1 Parent(s): 5b39cd7

New model from https://wandb.ai/wandb/huggingtweets/runs/szxjdg8v

Browse files
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/vaushv/1625003147753/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/1191140885250985985/UhfX1EdI_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;)">
@@ -42,20 +42,20 @@ The model was trained on tweets from Vaush.
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  | Data | Vaush |
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  | --- | --- |
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- | Tweets downloaded | 3227 |
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- | Retweets | 831 |
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- | Short tweets | 469 |
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- | Tweets kept | 1927 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2sbjngaz/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 @vaushv's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/34fpf998) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/34fpf998/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/1522188264634953728/nUm7LN2r_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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  | Data | Vaush |
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  | --- | --- |
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+ | Tweets downloaded | 3209 |
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+ | Retweets | 896 |
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+ | Short tweets | 357 |
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+ | Tweets kept | 1956 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/qq671ti1/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 @vaushv's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/szxjdg8v) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/szxjdg8v/artifacts) is logged and versioned.
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  ## How to use
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config.json CHANGED
@@ -8,7 +8,6 @@
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  "bos_token_id": 50256,
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+ "torch_dtype": "float32",
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  }
generation_config.json ADDED
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merges.txt CHANGED
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