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whisper-medium-finetuned/config/training_config.yaml

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+model:
+  name: "openai/whisper-medium"
+  language: "persian"
+  task: "transcribe"
+
+training:
+  batch_size: 16
+  learning_rate: 1e-5
+  num_epochs: 10
+  warmup_steps: 500
+  gradient_accumulation_steps: 2
+  save_steps: 1000
+  eval_steps: 500
+  logging_steps: 100
+
+data:
+  dataset_path: "confirmed_dataset/confirmed.parquet"
+  max_audio_length: 30.0
+  min_audio_length: 1.0
+  train_split: 0.9
+  eval_split: 0.1
+
+persian:
+  use_hazm: true
+  normalize_text: true
+  remove_diacritics: true
+
+output:
+  model_dir: "whisper-medium-finetuned/models"
+  logs_dir: "whisper-medium-finetuned/logs"
+  faster_whisper_dir: "whisper-medium-finetuned/faster_whisper"