boris commited on
Commit
8700aa3
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1 Parent(s): ecaa2a9

New model from https://wandb.ai/wandb/huggingtweets/runs/28ljy23o

Browse files
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  language: en
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- thumbnail: https://www.huggingtweets.com/balajis/1628241268534/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">Balaji Srinivasan</div>
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  <div style="text-align: center; font-size: 14px;">@balajis</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 Balaji Srinivasan.
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- | Data | Balaji Srinivasan |
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  | --- | --- |
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- | Tweets downloaded | 3248 |
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- | Retweets | 1215 |
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- | Short tweets | 42 |
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- | Tweets kept | 1991 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1d9umm5j/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 @balajis's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1k12csjk) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1k12csjk/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">Balaji</div>
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  <div style="text-align: center; font-size: 14px;">@balajis</div>
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  </div>
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  ## Training data
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+ The model was trained on tweets from Balaji.
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+ | Data | Balaji |
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  | --- | --- |
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+ | Tweets downloaded | 3242 |
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+ | Retweets | 858 |
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+ | Short tweets | 57 |
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+ | Tweets kept | 2327 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/348sf7db/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 @balajis's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/28ljy23o) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/28ljy23o/artifacts) is logged and versioned.
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  ## How to use
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config.json CHANGED
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