boris commited on
Commit
ce7900b
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New model from https://wandb.ai/wandb/huggingtweets/runs/il0m4bwl

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Files changed (4) hide show
  1. README.md +10 -10
  2. config.json +1 -1
  3. pytorch_model.bin +1 -1
  4. training_args.bin +2 -2
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/netflixinator/1655403174774/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -20,7 +20,7 @@ widget:
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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">Fourtoffee #RussiavsUkraine #NewDeal4Animation</div>
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  <div style="text-align: center; font-size: 14px;">@netflixinator</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 Fourtoffee #RussiavsUkraine #NewDeal4Animation.
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- | Data | Fourtoffee #RussiavsUkraine #NewDeal4Animation |
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  | --- | --- |
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- | Tweets downloaded | 797 |
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  | Retweets | 7 |
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- | Short tweets | 59 |
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- | Tweets kept | 731 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/lgk6jsh5/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 @netflixinator's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3vysavz9) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3vysavz9/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>
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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">Fourtoffee #FourtoffeeHype #NewDeal4Animation</div>
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  <div style="text-align: center; font-size: 14px;">@netflixinator</div>
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  </div>
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  ## Training data
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+ The model was trained on tweets from Fourtoffee #FourtoffeeHype #NewDeal4Animation.
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+ | Data | Fourtoffee #FourtoffeeHype #NewDeal4Animation |
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  | --- | --- |
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+ | Tweets downloaded | 892 |
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  | Retweets | 7 |
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+ | Short tweets | 66 |
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+ | Tweets kept | 819 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2do20f9f/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 @netflixinator's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/il0m4bwl) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/il0m4bwl/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": "4.20.0",
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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": "4.21.1",
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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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