Sam3000/bangla-segment
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README.md
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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:
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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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#
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This model is a fine-tuned version of [](https://huggingface.co/) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.4452
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- Model Preparation Time: 0.0056
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---
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library_name: transformers
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language:
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- bn
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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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- bangla
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- bengali
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- pyannote
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- audio
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- generated_from_trainer
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datasets:
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- Sam3000/speaker-diarization-dataset-bangla
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model-index:
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- name: bangla-segment
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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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# bangla-segment
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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 Sam3000/speaker-diarization-dataset-bangla dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4452
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- Model Preparation Time: 0.0056
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