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  1. README.md +4 -4
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@@ -30,7 +30,7 @@ cd bel_canto
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  ```
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  ## Results
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- A demo result of SqueezeNet fine-tuning:
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  <style>
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  #pianos td {
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  vertical-align: middle !important;
@@ -43,15 +43,15 @@ A demo result of SqueezeNet fine-tuning:
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  <table id="pianos">
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  <tr>
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  <th>Loss curve</th>
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- <td><img src="https://www.modelscope.cn/api/v1/models/ccmusic-database/bel_canto/repo?Revision=master&FilePath=.%2Fsqueezenet1_1_cqt%2Floss.jpg&View=true"></td>
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  </tr>
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  <tr>
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  <th>Training and validation accuracy</th>
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- <td><img src="https://www.modelscope.cn/api/v1/models/ccmusic-database/bel_canto/repo?Revision=master&FilePath=.%2Fsqueezenet1_1_cqt%2Facc.jpg&View=true"></td>
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  </tr>
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  <tr>
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  <th>Confusion matrix</th>
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- <td><img src="https://www.modelscope.cn/api/v1/models/ccmusic-database/bel_canto/repo?Revision=master&FilePath=.%2Fsqueezenet1_1_cqt%2Fmat.jpg&View=true"></td>
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  </tr>
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  </table>
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  ```
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  ## Results
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+ A fine-tuning result of SqueezeNet on CQT:
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  <style>
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  #pianos td {
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  vertical-align: middle !important;
 
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  <table id="pianos">
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  <tr>
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  <th>Loss curve</th>
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+ <td><img src="https://www.modelscope.cn/models/ccmusic-database/bel_canto/resolve/master/squeezenet1_1_cqt_2024-07-30_04-38-35/loss.jpg"></td>
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  </tr>
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  <tr>
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  <th>Training and validation accuracy</th>
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+ <td><img src="https://www.modelscope.cn/models/ccmusic-database/bel_canto/resolve/master/squeezenet1_1_cqt_2024-07-30_04-38-35/acc.jpg"></td>
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  </tr>
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  <tr>
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  <th>Confusion matrix</th>
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+ <td><img src="https://www.modelscope.cn/models/ccmusic-database/bel_canto/resolve/master/squeezenet1_1_cqt_2024-07-30_04-38-35/mat.jpg"></td>
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  </tr>
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  </table>
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