New model from https://wandb.ai/wandb/huggingtweets/runs/25d8xh0u

README.md

@@ -10,7 +10,7 @@ widget:
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@@ -42,20 +42,20 @@ The model was trained on tweets from Primo.
 
 | Data | Primo |
 | --- | --- |
-| Tweets downloaded | 199 |
-| Retweets | 32 |
-| Short tweets | 16 |
-| Tweets kept | 151 |
+| Tweets downloaded | 233 |
+| Retweets | 30 |
+| Short tweets | 19 |
+| Tweets kept | 184 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1127nmrn/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/34qiwx6m/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 @propertyexile's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2zxprrop) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/25d8xh0u) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2zxprrop/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/25d8xh0u/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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