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New model from https://wandb.ai/wandb/huggingtweets/runs/szqhs6it

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Files changed (3) hide show
  1. README.md +11 -11
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
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  ---
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  language: en
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- thumbnail: http://www.huggingtweets.com/codeinecucumber/1668981794646/predictions.png
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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">Gutted</div>
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  <div style="text-align: center; font-size: 14px;">@codeinecucumber</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 Gutted.
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- | Data | Gutted |
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  | --- | --- |
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- | Tweets downloaded | 2005 |
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- | Retweets | 272 |
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- | Short tweets | 388 |
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- | Tweets kept | 1345 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/167dtbv8/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 @codeinecucumber's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3mdtqfjq) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3mdtqfjq/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">Yay</div>
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  <div style="text-align: center; font-size: 14px;">@codeinecucumber</div>
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  </div>
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  ## Training data
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+ The model was trained on tweets from Yay.
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+ | Data | Yay |
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  | --- | --- |
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+ | Tweets downloaded | 2206 |
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+ | Retweets | 300 |
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+ | Short tweets | 433 |
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+ | Tweets kept | 1473 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/28q4wxl6/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 @codeinecucumber's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/szqhs6it) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/szqhs6it/artifacts) is logged and versioned.
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  ## How to use
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