New model from https://wandb.ai/wandb/huggingtweets/runs/alwta68b

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/marknorm/1613147015385/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -32,20 +32,20 @@ The model was trained on [@marknorm's tweets](https://twitter.com/marknorm).
 
 | Data | Quantity |
 | --- | --- |
-| Tweets downloaded | 3214 |
-| Retweets | 154 |
-| Short tweets | 557 |
+| Tweets downloaded | 3201 |
+| Retweets | 149 |
+| Short tweets | 549 |
 | Tweets kept | 2503 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/2s2u8jjp/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/2s6cf5pe/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 @marknorm's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1o8ko325) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/alwta68b) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1o8ko325/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/alwta68b/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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