poppysmickarlili commited on
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End of training

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README.md CHANGED
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  ---
 
 
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  license: apache-2.0
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  base_model: poppysmickarlili/whisper-small-cantonese_02-05-2024-1727
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  tags:
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  - generated_from_trainer
 
 
 
 
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  model-index:
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- - name: whisper-small-cantonese_07-05-2024-2200
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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-small-cantonese_07-05-2024-2200
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- This model is a fine-tuned version of [poppysmickarlili/whisper-small-cantonese_02-05-2024-1727](https://huggingface.co/poppysmickarlili/whisper-small-cantonese_02-05-2024-1727) on an unknown dataset.
 
 
 
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  ## Model description
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  - training_steps: 4000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.40.2
 
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  ---
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+ language:
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+ - yue
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  license: apache-2.0
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  base_model: poppysmickarlili/whisper-small-cantonese_02-05-2024-1727
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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_17_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 17.0
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+ type: mozilla-foundation/common_voice_17_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: 57.34134434847916
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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 [poppysmickarlili/whisper-small-cantonese_02-05-2024-1727](https://huggingface.co/poppysmickarlili/whisper-small-cantonese_02-05-2024-1727) on the Common Voice 17.0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3536
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+ - Wer: 57.3413
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  ## Model description
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  - training_steps: 4000
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:------:|:----:|:---------------:|:-------:|
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+ | 0.0168 | 1.3908 | 1000 | 0.3280 | 59.7446 |
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+ | 0.0046 | 2.7816 | 2000 | 0.3460 | 58.9185 |
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+ | 0.0005 | 4.1725 | 3000 | 0.3504 | 57.1911 |
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+ | 0.0002 | 5.5633 | 4000 | 0.3536 | 57.3413 |
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+
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+
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  ### Framework versions
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  - Transformers 4.40.2
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