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Update MHSA-Word-Model/README.md

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@@ -7,7 +7,7 @@ CRNN with Transformer-style Multi-Head Self-Attention between BiLSTM layers 2 an
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  - CNN backbone: 6 convolutional blocks (max 256 channels)
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  - Recurrent block: 3 BiLSTM layers, hidden = 160 per direction
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  - Decoding: Connectionist Temporal Classification (CTC)
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- - Parameters: 4,047,576
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  ## Test Performance (DASTNUS, seed 42)
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  | Metric | Value |
 
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  - CNN backbone: 6 convolutional blocks (max 256 channels)
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  - Recurrent block: 3 BiLSTM layers, hidden = 160 per direction
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  - Decoding: Connectionist Temporal Classification (CTC)
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+ - Parameters: 4,044,625
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  ## Test Performance (DASTNUS, seed 42)
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  | Metric | Value |