Update README.md

README.md

@@ -51,7 +51,7 @@ The model was trained on [@vanpelt's tweets](https://twitter.com/vanpelt).
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 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Tweets downloaded</td>
-<td style='border-width:0'>810</td>
+<td style='border-width:0'>812</td>
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 <td style='border-width:0'>Retweets</td>
@@ -63,20 +63,20 @@ The model was trained on [@vanpelt's tweets](https://twitter.com/vanpelt).
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 <td style='border-width:0'>Tweets kept</td>
-<td style='border-width:0'>681</td>
+<td style='border-width:0'>683</td>
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-[Explore the data](https://app.wandb.ai/wandb/huggingtweets-dev/runs/3cmt1m25/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
+[Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/2y7egcp2/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 @vanpelt's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets-dev/runs/1rqmc3ox) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/20slp9l5) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets-dev/runs/1rqmc3ox/artifacts) is logged and versioned.
+At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/20slp9l5/artifacts) is logged and versioned.
 
 ## Intended uses & limitations