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Model save

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  1. README.md +6 -4
  2. generation_config.json +78 -0
README.md CHANGED
@@ -1,9 +1,11 @@
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  ---
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  library_name: transformers
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  license: mit
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- base_model: distil-whisper/distil-medium.en
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: distil_whisper_en
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  results: []
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # distil_whisper_en
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- This model is a fine-tuned version of [distil-whisper/distil-medium.en](https://huggingface.co/distil-whisper/distil-medium.en) on the None dataset.
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  ## Model description
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@@ -41,7 +43,7 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 4
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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: 800
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  - training_steps: 250
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  - mixed_precision_training: Native AMP
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@@ -52,6 +54,6 @@ The following hyperparameters were used during training:
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  ### Framework versions
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  - Transformers 4.44.2
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- - Pytorch 2.4.1+cu121
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  - Datasets 3.0.2
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  - Tokenizers 0.19.1
 
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  ---
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  library_name: transformers
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  license: mit
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+ base_model: distil-whisper/distil-small.en
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  tags:
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  - generated_from_trainer
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+ datasets:
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+ - generator
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  model-index:
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  - name: distil_whisper_en
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  results: []
 
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  # distil_whisper_en
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+ This model is a fine-tuned version of [distil-whisper/distil-small.en](https://huggingface.co/distil-whisper/distil-small.en) on the generator dataset.
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  ## Model description
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  - total_train_batch_size: 4
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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: 500
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  - training_steps: 250
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.44.2
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+ - Pytorch 2.5.0+cu121
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  - Datasets 3.0.2
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  - Tokenizers 0.19.1
generation_config.json CHANGED
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