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End of training

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Files changed (5) hide show
  1. README.md +10 -11
  2. config.json +2 -2
  3. generation_config.json +1 -1
  4. model.safetensors +1 -1
  5. training_args.bin +2 -2
README.md CHANGED
@@ -1,22 +1,24 @@
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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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  datasets:
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- - common_voice_11_0
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  model-index:
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- - name: whisper-small-zh-TW
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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-zh-TW
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- This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_11_0 dataset.
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  ## Model description
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@@ -35,19 +37,16 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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- - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 500
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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 4.48.1
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  - Pytorch 2.5.1+cu121
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- - Datasets 3.2.0
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  - Tokenizers 0.21.0
 
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  ---
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  library_name: transformers
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+ language:
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+ - zho
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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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  datasets:
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+ - mozilla-foundation/common_voice_11_0
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  model-index:
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+ - name: Whisper Small zh-TW
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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 zh-TW
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+ This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 3.0
 
 
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  ### Framework versions
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+ - Transformers 4.47.1
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  - Pytorch 2.5.1+cu121
 
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  - Tokenizers 0.21.0
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "openai/whisper-small",
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
@@ -54,7 +54,7 @@
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  "pad_token_id": 50257,
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  "scale_embedding": false,
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  "torch_dtype": "float32",
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- "transformers_version": "4.48.1",
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  "use_cache": true,
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  "use_weighted_layer_sum": false,
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  "vocab_size": 51865
 
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  {
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+ "_name_or_path": "/content/drive/MyDrive/whisper-small-zh-TW",
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  "activation_dropout": 0.0,
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  "activation_function": "gelu",
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  "apply_spec_augment": false,
 
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  "pad_token_id": 50257,
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  "scale_embedding": false,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.47.1",
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  "use_cache": true,
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  "use_weighted_layer_sum": false,
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  "vocab_size": 51865
generation_config.json CHANGED
@@ -250,5 +250,5 @@
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  "transcribe": 50359,
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  "translate": 50358
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  },
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- "transformers_version": "4.48.1"
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  }
 
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  "transcribe": 50359,
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  "translate": 50358
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  },
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+ "transformers_version": "4.47.1"
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  }
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