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- speaker-segmentation
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- generated_from_trainer
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datasets:
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model-index:
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- name: speaker-segmentation-fine-tuned-hindi
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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-hindi
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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
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It achieves the following results on the evaluation set:
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- Loss: 0.4442
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- Der: 0.1448
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- speaker-segmentation
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- generated_from_trainer
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datasets:
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- Samyak29/synthetic-speaker-diarization-dataset-hindi-large
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model-index:
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- name: speaker-segmentation-fine-tuned-hindi
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results: []
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# speaker-segmentation-fine-tuned-hindi
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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 synthetic hindi dataset (https://huggingface.co/datasets/Samyak29/synthetic-speaker-diarization-dataset-hindi-large).
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It achieves the following results on the evaluation set:
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- Loss: 0.4442
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- Der: 0.1448
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