New model from https://wandb.ai/wandb/huggingtweets/runs/3dkziti5

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/elonmusk/1634700884446/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -43,19 +43,19 @@ The model was trained on tweets from Elon Musk.
 | Data | Elon Musk |
 | --- | --- |
 | Tweets downloaded | 3250 |
-| Retweets | 185 |
-| Short tweets | 841 |
-| Tweets kept | 2224 |
+| Retweets | 186 |
+| Short tweets | 848 |
+| Tweets kept | 2216 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/yhquqn5i/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
+[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/h87eg8fs/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
 
 ## Training procedure
 
 The model is based on a pre-trained [GPT-2](https://huggingface.co/gpt2) which is fine-tuned on @elonmusk's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/sllfr5i5) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3dkziti5) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/sllfr5i5/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3dkziti5/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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