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org_speech_processing_project_wav2vec2

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
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update model card README.md

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@@ -30,14 +30,14 @@ 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: 0.0008
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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: 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: 1000
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- - num_epochs: 20
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  ### Training results
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0004
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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: 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: 1000
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+ - num_epochs: 10
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  ### Training results
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