boris commited on
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New model from https://wandb.ai/wandb/huggingtweets/runs/1qhplyz8

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Files changed (4) hide show
  1. README.md +13 -13
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. 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/big___oven-raspberryl0ver/1667069595819/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/1571653458972794884/eaxhUsib_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/1552729971956727808/zVaFH3ex_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 CYBORG πŸ€–</div>
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- <div style="text-align: center; font-size: 16px; font-weight: 800">oskcar & 🌞</div>
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  <div style="text-align: center; font-size: 14px;">@big___oven-raspberryl0ver</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 oskcar & 🌞.
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- | Data | oskcar | 🌞 |
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  | --- | --- | --- |
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- | Tweets downloaded | 2662 | 1351 |
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- | Retweets | 602 | 280 |
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- | Short tweets | 328 | 149 |
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- | Tweets kept | 1732 | 922 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2rpai64f/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 @big___oven-raspberryl0ver's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1pohqemo) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1pohqemo/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/1552729971956727808/zVaFH3ex_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/1571653458972794884/eaxhUsib_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 CYBORG πŸ€–</div>
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+ <div style="text-align: center; font-size: 16px; font-weight: 800">🌞 & oskcar</div>
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  <div style="text-align: center; font-size: 14px;">@big___oven-raspberryl0ver</div>
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  </div>
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  ## Training data
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+ The model was trained on tweets from 🌞 & oskcar.
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+ | Data | 🌞 | oskcar |
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  | --- | --- | --- |
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+ | Tweets downloaded | 1475 | 2667 |
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+ | Retweets | 312 | 633 |
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+ | Short tweets | 170 | 308 |
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+ | Tweets kept | 993 | 1726 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2mk9khrm/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 @big___oven-raspberryl0ver's tweets.
55
 
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1qhplyz8) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1qhplyz8/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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  "torch_dtype": "float32",
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- "transformers_version": "4.23.1",
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  "use_cache": true,
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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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  }
pytorch_model.bin CHANGED
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training_args.bin CHANGED
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