getting 38% hamming score using this code for multilabel classification of my 24000 dataset into 26 classes. please suggest something so that casn go upto 90%

[anushkas-cloduraai]

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Epoch: 0, Loss: 0.607304036617279
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Epoch: 0, Loss: 0.42913737893104553
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Epoch: 0, Loss: 0.31689316034317017
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Epoch: 1, Loss: 0.25217771530151367
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Epoch: 1, Loss: 0.2359163910150528
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Epoch: 1, Loss: 0.20691940188407898
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Epoch: 2, Loss: 0.18726885318756104
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Epoch: 2, Loss: 0.18049341440200806
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Epoch: 2, Loss: 0.1675453633069992
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Epoch: 3, Loss: 0.1804620772600174
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Epoch: 3, Loss: 0.15942974388599396
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Epoch: 3, Loss: 0.1614547073841095
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Epoch: 4, Loss: 0.16714756190776825
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Epoch: 4, Loss: 0.18206024169921875
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Epoch: 4, Loss: 0.18216757476329803
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Epoch: 5, Loss: 0.14875689148902893
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Epoch: 5, Loss: 0.14692261815071106
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Epoch: 5, Loss: 0.1404387503862381
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Epoch: 6, Loss: 0.16587977111339