New model from https://wandb.ai/wandb/huggingtweets/runs/3l9u4t5m

README.md

@@ -1,6 +1,6 @@
 ---
 language: en
-thumbnail: https://www.huggingtweets.com/almostnora/1616622300212/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -10,7 +10,7 @@ widget:
 <div>
 <div style="width: 132px; height:132px; border-radius: 50%; background-size: cover; background-image: url('https://pbs.twimg.com/profile_images/1369015830000861191/gWkHCd-b_400x400.jpg')">
 </div>
-<div style="margin-top: 8px; font-size: 19px; font-weight: 800">Norʌ 🤖 AI Bot </div>
+<div style="margin-top: 8px; font-size: 19px; font-weight: 800">N.O.R.A 🤖 AI Bot </div>
 <div style="font-size: 15px">@almostnora bot</div>
 </div>
 
@@ -24,7 +24,7 @@ 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://app.wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-model-to-generate-tweets--VmlldzoxMTY5MjI).
+To understand how the model was developed, check the [W&B report](https://wandb.ai/wandb/huggingtweets/reports/HuggingTweets-Train-a-Model-to-Generate-Tweets--VmlldzoxMTY5MjI).
 
 ## Training data
 
@@ -32,20 +32,20 @@ The model was trained on [@almostnora's tweets](https://twitter.com/almostnora).
 
 | Data | Quantity |
 | --- | --- |
-| Tweets downloaded | 3232 |
-| Retweets | 189 |
-| Short tweets | 495 |
-| Tweets kept | 2548 |
+| Tweets downloaded | 3230 |
+| Retweets | 191 |
+| Short tweets | 494 |
+| Tweets kept | 2545 |
 
-[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/1m9rel9v/artifacts), which is tracked with [W&B artifacts](https://docs.wandb.com/artifacts) at every step of the pipeline.
+[Explore the data](https://wandb.ai/wandb/huggingtweets/runs/3hy929cp/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 @almostnora's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/zzun2ngc) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://wandb.ai/wandb/huggingtweets/runs/3l9u4t5m) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/zzun2ngc/artifacts) is logged and versioned.
+At the end of training, [the final model](https://wandb.ai/wandb/huggingtweets/runs/3l9u4t5m/artifacts) is logged and versioned.
 
 ## How to use
 

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