New model from https://wandb.ai/wandb/huggingtweets/runs/x523rtvl

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: http://www.huggingtweets.com/muzhroommama/1674876688479/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -42,20 +42,20 @@ The model was trained on tweets from silly little time.
 
 | Data | silly little time |
 | --- | --- |
-| Tweets downloaded | 231 |
-| Retweets | 84 |
+| Tweets downloaded | 236 |
+| Retweets | 87 |
 | Short tweets | 32 |
-| Tweets kept | 115 |
+| Tweets kept | 117 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/owxu03js/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/xaynl4xc/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 @muzhroommama's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/oqz8ven5) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/x523rtvl) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/oqz8ven5/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/x523rtvl/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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