Update README.md

README.md

@@ -1,6 +1,6 @@
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 language: en
-thumbnail: https://www.huggingtweets.com/nvidia/1602174095857/predictions.png
+thumbnail: https://github.com/borisdayma/huggingtweets/blob/master/img/logo.png?raw=true
 tags:
 - huggingtweets
 widget:
@@ -68,15 +68,15 @@ The model was trained on [@nvidia's tweets](https://twitter.com/nvidia).
 </tbody>
 </table>
 
-[Explore the data](https://app.wandb.ai/wandb/huggingtweets/runs/2ttmuio7/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/35e4bboc/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 @nvidia's tweets.
 
-Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/3o1omu9g) for full transparency and reproducibility.
+Hyperparameters and metrics are recorded in the [W&B training run](https://app.wandb.ai/wandb/huggingtweets/runs/2t7z7a45) for full transparency and reproducibility.
 
-At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/3o1omu9g/artifacts) is logged and versioned.
+At the end of training, [the final model](https://app.wandb.ai/wandb/huggingtweets/runs/2t7z7a45/artifacts) is logged and versioned.
 
 ## Intended uses & limitations
 
@@ -110,4 +110,4 @@ For more details, visit the project repository.
 
 [![GitHub stars](https://img.shields.io/github/stars/borisdayma/huggingtweets?style=social)](https://github.com/borisdayma/huggingtweets)
 
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