Update README.md

README.md

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 **Training hardware:** Each of the models were trained on 2 x T4 GPUs (multi-GPU training). For this reason, linear attention modules were implemented as ring (distributed) attention during training.
 **Total Training Compute Throughput:** 4.13 TFLOPS
 **Total Logged Training Time:** ~210 hours (total time split across four models including overhead)
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 - v1_3: 355 MB
 - v2_2: 11 MB
 
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
+## Evaluation Data, Metrics & Results
 
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+This section covers information on how the model was evaluated at each stage.
 
-[More Information Needed]
+### Evaluation Data
 
-#### Metrics
+Evaluation was performed on real-time footage captured from Grand Theft Auto V, Cyberpunk 2077 and WatchDogs 2.
 
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+### Metrics
 
-[More Information Needed]
+- PSNR (Peak Signal-to-Noise Ratio)
+- Combined loss (L1 loss + Total Variation loss)
 
 ### Results
 
-[More Information Needed]
+
 
 #### Summary