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

README.md

@@ -42,20 +42,20 @@ The model was trained on tweets from USMNT & ye.
 
 | Data | USMNT | ye |
 | --- | --- | --- |
-| Tweets downloaded | 3250 | 1858 |
+| Tweets downloaded | 3247 | 1858 |
 | Retweets | 600 | 188 |
 | Short tweets | 215 | 573 |
-| Tweets kept | 2435 | 1097 |
+| Tweets kept | 2432 | 1097 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/mot9c3hi/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/12os8ehp/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 @kanyewest-usmnt's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2mlrfgw8) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/2pwtssam) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2mlrfgw8/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/2pwtssam/artifacts) is logged and versioned.
 
 ## How to use
 

pytorch_model.bin

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training_args.bin

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