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@@ -45,21 +45,21 @@ Fine-tuned **OpenAI Whisper Small**.
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  This model was fine-tuned on a **mixture of publicly available Serbian speech corpora**, including:
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- - **Mozilla Common Voice 24.0, evaluated on **CV test (sr)**
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- - **FLEURS Serbian**
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- - **ParlaSpeech-RS** (subset of the full dataset)
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  - Additional Serbian corpora used in the training pipeline
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  ## Training procedure
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- - **Epochs:** 8
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- - **Batch size:** 32
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- - **Optimizer:** AdamW
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- - **LR:** 6e-5 with warmup (50 steps) + cosine decay to **min_lr = 1e-7**
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- - **Mixed precision:** bfloat16
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- - **SpecAugment:** frequency + time masking
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- - **Sampling:** weighted sampling across datasets
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  ### Training results
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@@ -79,7 +79,7 @@ This model was fine-tuned on a **mixture of publicly available Serbian speech co
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  - Text normalization used for WER:
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  - punctuation removed
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  - lowercased
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- - **Cyrillic → Latin** conversion
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  - numbers converted to words
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  This model was fine-tuned on a **mixture of publicly available Serbian speech corpora**, including:
47
 
48
+ - Mozilla Common Voice 24.0, evaluated on **CV test (sr)**
49
+ - FLEURS Serbian
50
+ - ParlaSpeech-RS (subset of the full dataset)
51
  - Additional Serbian corpora used in the training pipeline
52
 
53
 
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  ## Training procedure
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+ - Epochs: 8
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+ - Batch size: 32
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+ - Optimizer: AdamW
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+ - LR: 6e-5 with warmup (50 steps) + cosine decay to min_lr = 1e-7
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+ - Mixed precision: bfloat16
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+ - SpecAugment: frequency + time masking
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+ - Sampling: weighted sampling across datasets
63
 
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  ### Training results
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79
  - Text normalization used for WER:
80
  - punctuation removed
81
  - lowercased
82
+ - Cyrillic → Latin conversion
83
  - numbers converted to words
84
 
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