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New model from https://wandb.ai/wandb/huggingtweets/runs/eias9psv

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/rxmaybike/1655395664026/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/1454672063319392260/iwO_Ll7D_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">πŸ€– AI BOT πŸ€–</div>
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- <div style="text-align: center; font-size: 16px; font-weight: 800">jamar " The Fool ” majima πŸ‡΅πŸ‡Έ</div>
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  <div style="text-align: center; font-size: 14px;">@rxmaybike</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 jamar " The Fool ” majima πŸ‡΅πŸ‡Έ.
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- | Data | jamar " The Fool ” majima πŸ‡΅πŸ‡Έ |
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  | --- | --- |
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- | Tweets downloaded | 3062 |
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- | Retweets | 1828 |
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- | Short tweets | 320 |
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- | Tweets kept | 914 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2jzoscl1/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 @rxmaybike's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1m0h78lc) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1m0h78lc/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/1562630988836081664/KoPBffJt_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">πŸ€– AI BOT πŸ€–</div>
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+ <div style="text-align: center; font-size: 16px; font-weight: 800">jamar " Lord Of Cinder ” majima πŸ‡΅πŸ‡Έ</div>
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  <div style="text-align: center; font-size: 14px;">@rxmaybike</div>
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  </div>
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  ## Training data
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+ The model was trained on tweets from jamar " Lord Of Cinder ” majima πŸ‡΅πŸ‡Έ.
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+ | Data | jamar " Lord Of Cinder ” majima πŸ‡΅πŸ‡Έ |
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  | --- | --- |
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+ | Tweets downloaded | 3003 |
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+ | Retweets | 1795 |
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+ | Short tweets | 326 |
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+ | Tweets kept | 882 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/kc8cff5s/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 @rxmaybike's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/eias9psv) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/eias9psv/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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  }
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  }
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  },
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  "torch_dtype": "float32",
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+ "transformers_version": "4.21.2",
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  "use_cache": true,
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  "vocab_size": 50257
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