Update README.md

README.md

@@ -51,11 +51,11 @@ The model was trained on [@thom_wolf's tweets](https://twitter.com/thom_wolf).
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 <td style='border-width:0'>Tweets downloaded</td>
-<td style='border-width:0'>1254</td>
+<td style='border-width:0'>1263</td>
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 <td style='border-width:0'>Retweets</td>
-<td style='border-width:0'>322</td>
+<td style='border-width:0'>329</td>
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 <td style='border-width:0'>Short tweets</td>
@@ -63,20 +63,20 @@ The model was trained on [@thom_wolf's tweets](https://twitter.com/thom_wolf).
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 <td style='border-width:0'>Tweets kept</td>
-<td style='border-width:0'>858</td>
+<td style='border-width:0'>860</td>
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 </table>
 
-[Explore the data](https://app.wandb.ai/wandb/huggingtweets-dev/runs/6of2mk3b/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/si9nlw5x/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 @thom_wolf's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets-dev/runs/wpyus8pt) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/11okc2ch) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets-dev/runs/wpyus8pt/artifacts) is logged and versioned.
+At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/11okc2ch/artifacts) is logged and versioned.
 
 ## Intended uses & limitations