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whisper-small-Cantonese-fine-tune

Automatic Speech Recognition
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whisper
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FunPang/whisper-small-Cantonese-fine-tunet

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Files changed (4) hide show
  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Sep24_23-06-58_asus2/events.out.tfevents.1727244419.asus2.43884.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -1,11 +1,11 @@
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  ---
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- base_model: openai/whisper-small
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  library_name: transformers
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  license: apache-2.0
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- metrics:
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- - wer
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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-fine-tune
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  results: []
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 3.1513
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- - Wer: 100.0
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  ## Model description
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@@ -44,15 +44,15 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 10
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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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- | 0.0014 | 25.0 | 100 | 3.1513 | 100.0 |
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  ### Framework versions
 
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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-small-Cantonese-fine-tune
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  results: []
 
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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: 3.0590
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+ - Wer: 135.7143
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 5
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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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+ | 0.0012 | 25.0 | 100 | 3.0590 | 135.7143 |
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  ### Framework versions
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