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  1. README.md +17 -11
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,25 +1,23 @@
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  ---
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  library_name: transformers
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- language:
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- - zh
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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: Whisper-Small-squeezeformer-architecture
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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-squeezeformer-architecture
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Voice_Data_Collection_second_edition dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5823
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- - Cer: 36.6006
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  ## Model description
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@@ -45,7 +43,7 @@ The following hyperparameters were used during training:
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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: 3750
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- - training_steps: 30000
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | 0.7219 | 4.0 | 15000 | 49.1456 | 0.8063 |
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  | 0.5387 | 5.0 | 18750 | 41.2985 | 0.6620 |
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  | 0.3824 | 6.0 | 22500 | 39.1312 | 0.6240 |
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- | 0.3445 | 7.0 | 26250 | 0.5984 | 37.5137 |
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- | 0.2819 | 8.0 | 30000 | 0.5823 | 36.6006 |
 
 
 
 
 
 
 
 
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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: jun-han/Whisper-Small-architecture-change
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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-architecture-change
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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-architecture-change
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+ This model is a fine-tuned version of [jun-han/Whisper-Small-architecture-change](https://huggingface.co/jun-han/Whisper-Small-architecture-change) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4281
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+ - Cer: 24.9352
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  ## Model description
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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: 3750
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+ - training_steps: 60000
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  | 0.7219 | 4.0 | 15000 | 49.1456 | 0.8063 |
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  | 0.5387 | 5.0 | 18750 | 41.2985 | 0.6620 |
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  | 0.3824 | 6.0 | 22500 | 39.1312 | 0.6240 |
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+ | 0.3445 | 7.0 | 26250 | 37.5137 | 0.5984 |
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+ | 0.2819 | 8.0 | 30000 | 36.6006 | 0.5823 |
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+ | 0.538 | 9.0 | 33750 | 0.5156 | 30.9133 |
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+ | 0.3792 | 10.0 | 37500 | 0.4562 | 27.3205 |
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+ | 0.2974 | 11.0 | 41250 | 0.4408 | 26.4521 |
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+ | 0.2281 | 12.0 | 45000 | 0.4225 | 25.7254 |
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+ | 0.1644 | 13.0 | 48750 | 0.4207 | 25.1123 |
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+ | 0.1208 | 14.0 | 52500 | 0.4241 | 25.0098 |
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+ | 0.0877 | 15.0 | 56250 | 0.4232 | 24.9781 |
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+ | 0.0652 | 16.0 | 60000 | 0.4281 | 24.9352 |
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  ### Framework versions
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