End of training
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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-small
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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 [openai/whisper-small](https://huggingface.co/openai/whisper-small) on
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## Model description
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- training_steps: 100
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.40.1
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language:
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- yue
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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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datasets:
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- mozilla-foundation/common_voice_16_0
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metrics:
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- wer
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model-index:
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- name: Whisper Small Cantanese
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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 16.0
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type: mozilla-foundation/common_voice_16_0
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config: yue
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split: None
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args: 'config: yue, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 100.0
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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 Cantanese
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 154.2482
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- Wer: 100.0
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## Model description
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- training_steps: 100
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:-----:|
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| 42.039 | 0.0709 | 50 | 62.8301 | 100.0 |
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| 149.3648 | 0.1417 | 100 | 154.2482 | 100.0 |
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### Framework versions
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- Transformers 4.40.1
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model.safetensors
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