Update README.md

README.md

@@ -51,7 +51,7 @@ The model was trained on [@l2k's tweets](https://twitter.com/l2k).
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 <td style='border-width:0'>Tweets downloaded</td>
-<td style='border-width:0'>2571</td>
+<td style='border-width:0'>2572</td>
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-<td style='border-width:0'>87</td>
+<td style='border-width:0'>88</td>
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@@ -68,15 +68,15 @@ The model was trained on [@l2k's tweets](https://twitter.com/l2k).
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-[Explore the data](https://app.wandb.ai/wandb/huggingtweets-dev/runs/1vdikf6t/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/1jzr3avv/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 @l2k's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets-dev/runs/2bfk1t2p) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/38tcii73) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets-dev/runs/2bfk1t2p/artifacts) is logged and versioned.
+At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/38tcii73/artifacts) is logged and versioned.
 
 ## Intended uses & limitations