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

Browse files
README.md CHANGED
@@ -10,7 +10,7 @@ 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">riddlee-chan♡</div>
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  <div style="text-align: center; font-size: 14px;">@gaucheian</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 riddlee-chan♡.
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- | Data | riddlee-chan♡ |
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  | --- | --- |
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- | Tweets downloaded | 2428 |
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- | Retweets | 141 |
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- | Short tweets | 232 |
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- | Tweets kept | 2055 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1a7tz94k/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 @gaucheian's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/16k6krpq) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/16k6krpq/artifacts) is logged and versioned.
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  ## How to use
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  <div class="inline-flex flex-col" style="line-height: 1.5;">
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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">-_______-</div>
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  <div style="text-align: center; font-size: 14px;">@gaucheian</div>
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  </div>
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  ## Training data
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+ The model was trained on tweets from -_______-.
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+ | Data | -_______- |
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  | --- | --- |
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+ | Tweets downloaded | 3047 |
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+ | Retweets | 161 |
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+ | Short tweets | 307 |
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+ | Tweets kept | 2579 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/26ot4z4p/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 @gaucheian's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1qkvoxvy) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1qkvoxvy/artifacts) is logged and versioned.
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  ## How to use
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config.json CHANGED
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