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  1. README.md +3 -11
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  ---
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  library_name: transformers
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- language:
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- - ar
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- license: mit
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- base_model: pyannote/speaker-diarization-3.1
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  tags:
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- - speaker-diarization
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- - speaker-segmentation
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  - generated_from_trainer
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- datasets:
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- - igitsml/darija-synthetic-calls
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  model-index:
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- - name: speaker-segmentation-fine-tuned-darija
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # speaker-segmentation-fine-tuned-darija
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- This model is a fine-tuned version of [pyannote/speaker-diarization-3.1](https://huggingface.co/pyannote/speaker-diarization-3.1) on the igitsml/darija-synthetic-calls dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3338
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  - Model Preparation Time: 0.0061
 
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  ---
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  library_name: transformers
 
 
 
 
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  tags:
 
 
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  - generated_from_trainer
 
 
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  model-index:
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+ - name: speaker-segmentation-darija2
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # speaker-segmentation-darija2
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.3338
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  - Model Preparation Time: 0.0061