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New model from https://wandb.ai/wandb/huggingtweets/runs/3uyqjhzc

Browse files
Files changed (3) hide show
  1. README.md +8 -8
  2. pytorch_model.bin +1 -1
  3. 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: https://www.huggingtweets.com/borisdayma/1620422355921/predictions.png
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  tags:
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  - huggingtweets
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  widget:
@@ -10,13 +10,13 @@ widget:
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  <div class="flex flex-col">
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  <div class="flex" style="line-height: 1.25;">
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  <div
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- style="display:DISPLAY1; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;URL1&#39;)">
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  </div>
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  <div
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- style="display:DISPLAY2; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;URL2&#39;)">
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  </div>
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  <div
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- style="display:DISPLAY3; margin-left: 4px; margin-right: 4px; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url(&#39;URL3&#39;)">
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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">Boris Dayma</div>
@@ -41,21 +41,21 @@ To understand how the model was developed, check the [W&B report](https://wandb.
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  The model was trained on tweets from Boris Dayma.
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  | Data | Boris Dayma |
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- | --- | - | - | - |
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  | Tweets downloaded | 415 |
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  | Retweets | 54 |
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  | Short tweets | 6 |
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  | Tweets kept | 355 |
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- [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3ge4s44c/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 @borisdayma's tweets.
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- Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2vu8jpxu) for full transparency and reproducibility.
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- At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2vu8jpxu/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="flex flex-col">
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  <div class="flex" style="line-height: 1.25;">
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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/1152601773330370560/UhVRDMyp_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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+ 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 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">Boris Dayma</div>
 
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  The model was trained on tweets from Boris Dayma.
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  | Data | Boris Dayma |
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+ | --- | --- |
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  | Tweets downloaded | 415 |
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  | Retweets | 54 |
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  | Short tweets | 6 |
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  | Tweets kept | 355 |
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+ [Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1cai005e/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 @borisdayma's tweets.
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+ Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3uyqjhzc) for full transparency and reproducibility.
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+ At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3uyqjhzc/artifacts) is logged and versioned.
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  ## How to use
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