Update about.md

about.md

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-Basic Model uses CNN with accuracy of 75% on test data
-V1 Engine uses CNN with accuracy of 87% on test data
+Trained with 1 GPU H800 Server from AutoDL on 2025.2.3 BJS with Pytroch and converted to .h5 format at the same time. 
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+Basic Model uses CNN with accuracy of 75% on test data (80.7 MB)
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+V1 Engine uses CNN with accuracy of 87% on test data (160 MB)
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 V2 Engine uses ViT with accuracy of at most 40% Keyboard Interrupted 2025.2.3 15:57:37 BJS
-V3 Engine uses Hybrid Model( Combination of Convolutional layers and a Multi-Layer Perceptron (MLP)) with accuracy 68.65% on test data.
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+V3 Engine uses Hybrid Model( Combination of Convolutional layers and a Multi-Layer Perceptron (MLP)) with accuracy 68.65% on test data. (102 MB)