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Update README.md

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@@ -29,10 +29,10 @@ model-index:
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  metrics:
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  - name: Test WER (non-streaming greedy)
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  type: wer
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- value: TBD
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- - name: Test WER (960ms chunk size, 8 left context chunks)
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  type: wer
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- value: TBD
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  ---
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  <iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
@@ -50,8 +50,6 @@ The performance of the model in full context mode (no streaming) is the followin
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  |:-------------:|:--------------:|:--------:|
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  | 24-02-26 | 11.00% | 4xA100 40GB |
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- TODO: validate the results
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-
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  With streaming, the results with different chunk sizes on the test split are the following:
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  | | full | cs=32 (1280ms) | 24 (960ms) | 16 (640ms) | 12 (480ms) | 8 (320ms) |
 
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  metrics:
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  - name: Test WER (non-streaming greedy)
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  type: wer
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+ value: 11.00%
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+ - name: Test WER (960ms chunk size, 4 left context chunks)
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  type: wer
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+ value: 11.53%
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  ---
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  <iframe src="https://ghbtns.com/github-btn.html?user=speechbrain&repo=speechbrain&type=star&count=true&size=large&v=2" frameborder="0" scrolling="0" width="170" height="30" title="GitHub"></iframe>
 
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  |:-------------:|:--------------:|:--------:|
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  | 24-02-26 | 11.00% | 4xA100 40GB |
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  With streaming, the results with different chunk sizes on the test split are the following:
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  | | full | cs=32 (1280ms) | 24 (960ms) | 16 (640ms) | 12 (480ms) | 8 (320ms) |