Update README.md

README.md

@@ -109,6 +109,7 @@ from the class and ended up with 1,607. <br>
 
 
 **Peformance Analysis**
+
 From this model, the overall performance indicate high accuracy, with the top 1 accuracy being 0.962 and each class having a F1-score
 in the 0.9 range. From the confusion matrix, we can see a perfect diagonal, which indicates the model was able to accurately predict
 the items correctly. However we do see a few false positives, where the model mixed up trash and specalized disposal, but this is very minor.
@@ -118,7 +119,7 @@ spikes slowly decreases as it trains longer, which indicates the model is improv
 For the validation loss curve, we see extremely high spikes towards the beginning, but the spikes slowly decreases as more training time
 is applied. Lastly, for the metrics/accuracy_top5, this shows up as a horizontal line at 1 due to the fact that I only have 4 classes. 
 Overall, my model indicates high accuracy and no cases of overfitting, however, the model could benefit from longer training time to
-allow the curves to smoothen out further and reach an eventually straight horizontal lines. 
+allow the curves to smoothen out further and reach an eventual straight horizontal line. 
 
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