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End of training

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  1. README.md +19 -4
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  ---
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  library_name: transformers
 
 
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  license: apache-2.0
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  base_model: openai/whisper-small
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  tags:
 
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  - generated_from_trainer
 
 
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  metrics:
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  - wer
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  model-index:
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- - name: whisper_finetuned_ver241109
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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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- # whisper_finetuned_ver241109
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0892
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  - Cer: 1.7222
 
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  ---
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  library_name: transformers
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+ language:
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+ - ko
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  license: apache-2.0
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  base_model: openai/whisper-small
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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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+ - GGarri/241109_newdata
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  metrics:
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  - wer
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  model-index:
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+ - name: Whisper Small ko
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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: customdata
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+ type: GGarri/241109_newdata
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 1.3576367064739157
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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 ko
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the customdata dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.0892
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  - Cer: 1.7222