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_07-05-2024-2200
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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
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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
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- This model is a fine-tuned version of [poppysmickarlili/whisper-small-cantonese_07-05-2024-2200](https://huggingface.co/poppysmickarlili/whisper-small-cantonese_07-05-2024-2200) on an unknown dataset.
 
 
 
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  ## Model description
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@@ -44,6 +64,16 @@ The following hyperparameters were used during training:
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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_07-05-2024-2200
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - poppysmickarlili/common_voice_yue
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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: poppysmickarlili/common_voice_yue
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+ type: poppysmickarlili/common_voice_yue
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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: 0.017123287671232876
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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_07-05-2024-2200](https://huggingface.co/poppysmickarlili/whisper-small-cantonese_07-05-2024-2200) on the poppysmickarlili/common_voice_yue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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+ - Wer: 0.0171
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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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+ | 0.0039 | 2.7816 | 1000 | 0.0040 | 1.3699 |
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+ | 0.0006 | 5.5633 | 2000 | 0.0001 | 0.0514 |
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+ | 0.0001 | 8.3449 | 3000 | 0.0001 | 0.0171 |
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+ | 0.0 | 11.1377 | 4000 | 0.0000 | 0.0171 |
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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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