Update README.md

README.md

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          <li class="my-4"><strong>Train a vision or text fastai Learner.</strong> You can use an already pre-trained model from the Hugging Face Hub.</li>
          <li class="my-4"><strong>Share the trained Learner</strong> through the Hub. <a href="https://colab.research.google.com/github/huggingface/blog/blob/main/notebooks/64_fastai_hub.ipynb" target="_blank" style="text-decoration: underline">This tutorial</a> shows how to share and load Learners (including those created with blurr). Please, share it to the hugginglearners organization. You can use the <a href="https://docs.fast.ai/huggingface.html#Sharing-a-Learner-to-the-Hub" target="_blank" style="text-decoration: underline">push_to_hub_fastai</a> function like this <strong>push_to_hub_fastai(learn, "hugginglearners/pokemon_classifier")</strong>. Remember to describe your model in the <a href="https://huggingface.co/docs/hub/model-repos" target="_blank" style="text-decoration: underline">model card</a>.</li> 
          <li class="my-4"><strong>Create a Gradio demo</strong> to showcase your model. <a href="https://huggingface.co/course/chapter9/1?fw=pt" target="_blank" style="text-decoration: underline">Here is a tutorial</a>; the next iteration of the fastai course will include a section on sharing with Gradio.</li>
-         <li class="my-4"><strong>[OPTIONAL] <a href="https://wandb.ai/site" target="_blank" style="text-decoration: underline">Weights & Biases </a>Track</strong> - Add a training log (you can use <a href="shields.io" target="_blank" style="text-decoration: underline">shields.io</a> to add a badge) and share your results with an analysis of the choices you made in your Model Card. There will be W&B surprises for the most interesting reports 👚.</li>
+         <li class="my-4"><strong>[OPTIONAL] <a href="https://wandb.ai/site" target="_blank" style="text-decoration: underline">Weights & Biases </a>Track</strong> - If you want to share a tutorial or some analysis linked to your model card, you can use the W&B reports. They can include interactive graphs and analysis of your experiments (<a href="https://wandb.ai/_scott/wandb_example/reports/Collaboration-in-ML-made-easy-with-W-B-Teams--VmlldzoxMjcwMDU5" target="_blank" style="text-decoration: underline">here is an example</a>). We will be sending W&B SWAG to the best reports.</li>
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          <li class="my-4">Participants that share at least two Learners with their respective Gradio Space will get a voucher to acquire the official Study Group t-shirt in the Hugging Face merch store. The graphic design will be defined soon.</li>
          <li class="my-4">All participants: fastai x Hugging Face event badge on HF.</li>
          <li class="my-4">Top 10 Gradio Spaces based on likes: Hugging Face PRO subscription for 1 month. We will soon activate a leaderboard to track the likes.</li>
-         <li class="my-4">More soon!</li>
+         <li class="my-4">Weights and Biases SWAG to the best analysis and tutorials using W&B logs.</li>
    </ul>
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