New model from https://wandb.ai/wandb/huggingtweets/runs/2bzdo7d6

README.md

@@ -10,7 +10,7 @@ widget:
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@@ -42,20 +42,20 @@ The model was trained on tweets from Johnathon Taylor "JTT" Thomas.
 
 | Data | Johnathon Taylor "JTT" Thomas |
 | --- | --- |
-| Tweets downloaded | 238 |
+| Tweets downloaded | 239 |
 | Retweets | 3 |
 | Short tweets | 44 |
-| Tweets kept | 191 |
+| Tweets kept | 192 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1eo6fn7a/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/9haxw34n/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 @jontthomas's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2hfugql9) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2bzdo7d6) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2hfugql9/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2bzdo7d6/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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