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Update README.md
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README.md
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@@ -50,13 +50,14 @@ The training hyperparameters remained consistent throughout the fine-tuning proc
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- num_train_epochs:
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- lr_scheduler_type: linear
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### How to evaluate the model
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```python
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from transformers import
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from datasets import load_dataset
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import torchaudio
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import librosa
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- num_train_epochs: 35
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- warmup_steps: 2000
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- lr_scheduler_type: linear
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### How to evaluate the model
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```python
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from transformers import Wav2vec2ForCTC, Wav2Vec2Processor
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from datasets import load_dataset
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import torchaudio
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import librosa
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