Update README.md

README.md

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 Toto (Time Series Optimized Transformer for [Observability](https://www.datadoghq.com/knowledge-center/observability/) is a state-of-the-art time-series foundation model designed for multi-variate time series forecasting, emphasizing observability metrics. Toto efficiently handles high-dimensional, sparse, and non-stationary data commonly encountered in observability scenarios.
 
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   <img src="figures/rankings.png" alt="model ranking" style="width: 100%; height: auto;" />
   <em style="display: block; margin-top: 0.5rem; text-align: center;">
     The average rank of Toto compared to the runner-up models on both the <a href="https://huggingface.co/spaces/Salesforce/GIFT-Eval">GIFT-Eval</a> and <a href="https://huggingface.co/datasets/Datadog/BOOM">BOOM</a> benchmarks (as of May 19, 2025).
@@ -48,7 +48,7 @@ Toto (Time Series Optimized Transformer for [Observability](https://www.datadogh
 <div style="width: 100%; margin: auto; padding: 1rem;">
   <img src="figures/architecture.png" alt="model architecture" style="width: 100%; height: auto;" />
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-    Oerview of Toto-Open-Base-1.0 architecture.
+    Overview of Toto-Open-Base-1.0 architecture.
   </em>
 </div>