Update README.md

README.md

@@ -35,7 +35,7 @@ The model uses the following pipeline.
 
 ![pipeline](https://github.com/borisdayma/huggingtweets/blob/master/img/pipeline.png?raw=true)
 
-To understand how the model was developed, check the [W&B report](https://bit.ly/2TGXMZf).
+To understand how the model was developed, check the [W&B report](https://app.wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-model-to-generate-tweets--VmlldzoxMTY5MjI).
 
 ## Training data
 
@@ -51,32 +51,32 @@ The model was trained on [@realdonaldtrump's tweets](https://twitter.com/realdon
 <tbody style='border-width:0'>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Tweets downloaded</td>
-<td style='border-width:0'>3204</td>
+<td style='border-width:0'>787</td>
 </tr>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Retweets</td>
-<td style='border-width:0'>1692</td>
+<td style='border-width:0'>373</td>
 </tr>
 <tr style='border-width:0 0 1px 0; border-color: #E2E8F0'>
 <td style='border-width:0'>Short tweets</td>
-<td style='border-width:0'>345</td>
+<td style='border-width:0'>172</td>
 </tr>
 <tr style='border-width:0'>
 <td style='border-width:0'>Tweets kept</td>
-<td style='border-width:0'>1167</td>
+<td style='border-width:0'>242</td>
 </tr>
 </tbody>
 </table>
 
-[Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/2a02wvuj/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/3clsfppv/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 @realdonaldtrump's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/433vooy5) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/3r9nw93e) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/433vooy5/artifacts) is logged and versioned.
+At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/3r9nw93e/artifacts) is logged and versioned.
 
 ## Intended uses & limitations