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

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: http://www.huggingtweets.com/raspberryl0ver/1669063580480/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 🌞.
 
 | Data | 🌞 |
 | --- | --- |
-| Tweets downloaded | 1688 |
-| Retweets | 385 |
-| Short tweets | 192 |
-| Tweets kept | 1111 |
+| Tweets downloaded | 1697 |
+| Retweets | 390 |
+| Short tweets | 193 |
+| Tweets kept | 1114 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3dtkfczh/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/3ngkzg4u/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 @raspberryl0ver's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/1fty3nf0) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3oqfiurd) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/1fty3nf0/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3oqfiurd/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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training_args.bin

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