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README.md
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---
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license: apache-2.0
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base_model: openai/whisper-base
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_9_0
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metrics:
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- wer
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model-index:
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- name:
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: common_voice_9_0
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type: common_voice_9_0
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config: id
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split: test
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args: id
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metrics:
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- name: Wer
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type: wer
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value: 23.
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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 [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_9_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 23.
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## Model description
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---
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language:
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- id
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license: apache-2.0
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base_model: openai/whisper-base
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tags:
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- whisper-event
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_9_0
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metrics:
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- wer
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model-index:
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- name: Whisper Small Indonesian
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: mozilla-foundation/common_voice_9_0 id
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type: mozilla-foundation/common_voice_9_0
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config: id
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split: test
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args: id
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metrics:
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- name: Wer
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type: wer
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value: 23.77271681619508
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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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# Whisper Small Indonesian
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_9_0 id dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4079
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- Wer: 23.7727
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## Model description
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