Audio Classification
Transformers
Safetensors
Slovenian
Croatian
Serbian
wav2vec2-bert
audio-frame-classification
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Update README.md

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@@ -122,41 +122,21 @@ print(ds["y_pred_logits"][0])
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  # [ 0.44213724, -0.34862748],
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  # [-0.08605709, 0.13012762],
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  # ....
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- print(ds["prosodic_units"][0])
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  # Outputs: [0.34, 0.4]
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  ```
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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- [More Information Needed]
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  ## Training Details
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  ### Training Data
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- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- [More Information Needed]
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  ### Training Procedure
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  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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  #### Training Hyperparameters
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  - Learning rate: 1e-5
 
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  # [ 0.44213724, -0.34862748],
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  # [-0.08605709, 0.13012762],
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  # ....
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+ print(ds["primary_stress"][0])
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  # Outputs: [0.34, 0.4]
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  ```
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  ## Training Details
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  ### Training Data
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+ 10443 manually annotated multisyllabic words from [ParlaSpeech-HR](https://huggingface.co/datasets/classla/ParlaSpeech-HR).
 
 
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  ### Training Procedure
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  <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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  #### Training Hyperparameters
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  - Learning rate: 1e-5