Update README.md

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo_share.png?raw=true
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -19,7 +19,7 @@ widget:
 <section class='prose'>
 
 <div>
-<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('http://pbs.twimg.com/profile_images/1259944219881455617/asyRCk6l_400x400.jpg')">
+<div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1259944219881455617/asyRCk6l_400x400.jpg')">
 </div>
 <div style="margin-top: 8px; font-size: 19px; font-weight: 800">Thomas Wolf 🤖 AI Bot </div>
 <div style="font-size: 15px; color: #657786">@thom_wolf bot</div>
@@ -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 [@thom_wolf's tweets](https://twitter.com/thom_wolf).
 <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'>1263</td>
+<td style='border-width:0'>1364</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'>329</td>
+<td style='border-width:0'>383</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'>74</td>
+<td style='border-width:0'>82</td>
 </tr>
 <tr style='border-width:0'>
 <td style='border-width:0'>Tweets kept</td>
-<td style='border-width:0'>860</td>
+<td style='border-width:0'>899</td>
 </tr>
 </tbody>
 </table>
 
-[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.
+[Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/3swidt1y/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/runs/11okc2ch) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/1uui7r14) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/11okc2ch/artifacts) is logged and versioned.
+At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/1uui7r14/artifacts) is logged and versioned.
 
 ## Intended uses & limitations
 
@@ -102,10 +102,12 @@ In addition, the data present in the user's tweets further affects the text gene
 
 </section>
 
-[![Follow](https://img.shields.io/twitter/follow/borisdayma?style=social)](https://twitter.com/borisdayma)
+[![Follow](https://img.shields.io/twitter/follow/borisdayma?style=social)](https://twitter.com/intent/follow?screen_name=borisdayma)
 
 <section class='prose'>
 For more details, visit the project repository.
 </section>
 
 [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
+
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